diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index e693be6389a..f8d6fa6f927 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -26,14 +26,14 @@ jobs: uses: actions/setup-node@v4 with: node-version: ${{ matrix.node-version }} - check-latest: false cache: 'pnpm' - - run: npm i -g pnpm + cache-dependency-path: 'pnpm-lock.yaml' - run: pnpm install - - run: ./node_modules/.bin/cypress install - run: pnpm lint - run: pnpm build - - name: Install dependencies + - name: Cypress install + run: pnpm cypress install + - name: Install dependencies (Cypress Action) uses: cypress-io/github-action@v6 with: working-directory: ./ diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 35365219c54..a1800228883 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -120,44 +120,45 @@ Flowise has 3 different modules in a single mono repository. Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder. Read [more](https://docs.flowiseai.com/environment-variables) -| Variable | Description | Type | Default | -| ---------------------------- | ----------------------------------------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- | -| PORT | The HTTP port Flowise runs on | Number | 3000 | -| CORS_ORIGINS | The allowed origins for all cross-origin HTTP calls | String | | -| IFRAME_ORIGINS | The allowed origins for iframe src embedding | String | | -| FLOWISE_USERNAME | Username to login | String | | -| FLOWISE_PASSWORD | Password to login | String | | -| FLOWISE_FILE_SIZE_LIMIT | Upload File Size Limit | String | 50mb | -| DISABLE_CHATFLOW_REUSE | Forces the creation of a new ChatFlow for each call instead of reusing existing ones from cache | Boolean | | -| DEBUG | Print logs from components | Boolean | | -| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` | -| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` | -| LOG_JSON_SPACES | Spaces to beautify JSON logs | | 2 | -| APIKEY_STORAGE_TYPE | To store api keys on a JSON file or database. Default is `json` | Enum String: `json`, `db` | `json` | -| APIKEY_PATH | Location where api keys are saved when `APIKEY_STORAGE_TYPE` is `json` | String | `your-path/Flowise/packages/server` | -| TOOL_FUNCTION_BUILTIN_DEP | NodeJS built-in modules to be used for Tool Function | String | | -| TOOL_FUNCTION_EXTERNAL_DEP | External modules to be used for Tool Function | String | | -| DATABASE_TYPE | Type of database to store the flowise data | Enum String: `sqlite`, `mysql`, `postgres` | `sqlite` | -| DATABASE_PATH | Location where database is saved (When DATABASE_TYPE is sqlite) | String | `your-home-dir/.flowise` | -| DATABASE_HOST | Host URL or IP address (When DATABASE_TYPE is not sqlite) | String | | -| DATABASE_PORT | Database port (When DATABASE_TYPE is not sqlite) | String | | -| DATABASE_USER | Database username (When DATABASE_TYPE is not sqlite) | String | | -| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | | -| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | | -| DATABASE_SSL_KEY_BASE64 | Database SSL client cert in base64 (takes priority over DATABASE_SSL) | Boolean | false | -| DATABASE_SSL | Database connection overssl (When DATABASE_TYPE is postgre) | Boolean | false | -| SECRETKEY_PATH | Location where encryption key (used to encrypt/decrypt credentials) is saved | String | `your-path/Flowise/packages/server` | -| FLOWISE_SECRETKEY_OVERWRITE | Encryption key to be used instead of the key stored in SECRETKEY_PATH | String | | -| DISABLE_FLOWISE_TELEMETRY | Turn off telemetry | Boolean | | -| MODEL_LIST_CONFIG_JSON | File path to load list of models from your local config file | String | `/your_model_list_config_file_path` | -| STORAGE_TYPE | Type of storage for uploaded files. default is `local` | Enum String: `s3`, `local` | `local` | -| BLOB_STORAGE_PATH | Local folder path where uploaded files are stored when `STORAGE_TYPE` is `local` | String | `your-home-dir/.flowise/storage` | -| S3_STORAGE_BUCKET_NAME | Bucket name to hold the uploaded files when `STORAGE_TYPE` is `s3` | String | | -| S3_STORAGE_ACCESS_KEY_ID | AWS Access Key | String | | -| S3_STORAGE_SECRET_ACCESS_KEY | AWS Secret Key | String | | -| S3_STORAGE_REGION | Region for S3 bucket | String | | -| S3_ENDPOINT_URL | Custom Endpoint for S3 | String | | -| SHOW_COMMUNITY_NODES | Show nodes created by community | Boolean | | +| Variable | Description | Type | Default | +| ---------------------------- | -------------------------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- | +| PORT | The HTTP port Flowise runs on | Number | 3000 | +| CORS_ORIGINS | The allowed origins for all cross-origin HTTP calls | String | | +| IFRAME_ORIGINS | The allowed origins for iframe src embedding | String | | +| FLOWISE_USERNAME | Username to login | String | | +| FLOWISE_PASSWORD | Password to login | String | | +| FLOWISE_FILE_SIZE_LIMIT | Upload File Size Limit | String | 50mb | +| DEBUG | Print logs from components | Boolean | | +| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` | +| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` | +| LOG_JSON_SPACES | Spaces to beautify JSON logs | | 2 | +| APIKEY_STORAGE_TYPE | To store api keys on a JSON file or database. Default is `json` | Enum String: `json`, `db` | `json` | +| APIKEY_PATH | Location where api keys are saved when `APIKEY_STORAGE_TYPE` is `json` | String | `your-path/Flowise/packages/server` | +| TOOL_FUNCTION_BUILTIN_DEP | NodeJS built-in modules to be used for Tool Function | String | | +| TOOL_FUNCTION_EXTERNAL_DEP | External modules to be used for Tool Function | String | | +| DATABASE_TYPE | Type of database to store the flowise data | Enum String: `sqlite`, `mysql`, `postgres` | `sqlite` | +| DATABASE_PATH | Location where database is saved (When DATABASE_TYPE is sqlite) | String | `your-home-dir/.flowise` | +| DATABASE_HOST | Host URL or IP address (When DATABASE_TYPE is not sqlite) | String | | +| DATABASE_PORT | Database port (When DATABASE_TYPE is not sqlite) | String | | +| DATABASE_USER | Database username (When DATABASE_TYPE is not sqlite) | String | | +| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | | +| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | | +| DATABASE_SSL_KEY_BASE64 | Database SSL client cert in base64 (takes priority over DATABASE_SSL) | Boolean | false | +| DATABASE_SSL | Database connection overssl (When DATABASE_TYPE is postgre) | Boolean | false | +| SECRETKEY_PATH | Location where encryption key (used to encrypt/decrypt credentials) is saved | String | `your-path/Flowise/packages/server` | +| FLOWISE_SECRETKEY_OVERWRITE | Encryption key to be used instead of the key stored in SECRETKEY_PATH | String | | +| DISABLE_FLOWISE_TELEMETRY | Turn off telemetry | Boolean | | +| MODEL_LIST_CONFIG_JSON | File path to load list of models from your local config file | String | `/your_model_list_config_file_path` | +| STORAGE_TYPE | Type of storage for uploaded files. default is `local` | Enum String: `s3`, `local` | `local` | +| BLOB_STORAGE_PATH | Local folder path where uploaded files are stored when `STORAGE_TYPE` is `local` | String | `your-home-dir/.flowise/storage` | +| S3_STORAGE_BUCKET_NAME | Bucket name to hold the uploaded files when `STORAGE_TYPE` is `s3` | String | | +| S3_STORAGE_ACCESS_KEY_ID | AWS Access Key | String | | +| S3_STORAGE_SECRET_ACCESS_KEY | AWS Secret Key | String | | +| S3_STORAGE_REGION | Region for S3 bucket | String | | +| S3_ENDPOINT_URL | Custom Endpoint for S3 | String | | +| S3_FORCE_PATH_STYLE | Set this to true to force the request to use path-style addressing | Boolean | false | +| SHOW_COMMUNITY_NODES | Show nodes created by community | Boolean | | +| DISABLED_NODES | Hide nodes from UI (comma separated list of node names) | String | | You can also specify the env variables when using `npx`. For example: diff --git a/README.md b/README.md index d9cf66268fc..96f0624f877 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ [![GitHub star chart](https://img.shields.io/github/stars/the-answerai/theanswer?style=social)](https://star-history.com/#the-answerai/theanswer) [![GitHub fork](https://img.shields.io/github/forks/the-answerai/theanswer?style=social)](https://github.com/the-answerai/theanswer/fork) - +English | [繁體中文](./i18n/README-TW.md) | [簡體中文](./i18n/README-ZH.md) | [日本語](./i18n/README-JA.md) | [한국어](./i18n/README-KR.md)

Drag & drop UI to build your customized LLM Flowise with The AnswerAI

@@ -137,11 +137,12 @@ Note: The TheAnswer package is currently under development and not yet published ### Docker Compose -1. Go to `docker` folder at the root of the project -2. Copy `.env.example` file, paste it into the same location, and rename to `.env` -3. `docker compose up -d` -4. Open [http://localhost:3000](http://localhost:3000) -5. You can bring the containers down by `docker compose stop` +1. Clone the Flowise project +2. Go to `docker` folder at the root of the project +3. Copy `.env.example` file, paste it into the same location, and rename to `.env` file +4. `docker compose up -d` +5. Open [http://localhost:3000](http://localhost:3000) +6. You can bring the containers down by `docker compose stop` ### Docker Image @@ -174,6 +175,7 @@ All packages inside `packages/*` are from the original Flowise project: - `embed`: Embedding functionality - `embed-react`: React components for embedding - `flowise-configs`: Configuration files for Flowise +- `api-documentation`: Auto-generated swagger-ui API docs from express ### Packages-Answers (TheAnswer-specific) @@ -272,21 +274,21 @@ TheAnswer supports different environment variables to configure your instance. Y Deploy TheAnswer self-hosted in your existing infrastructure. We support various [deployments](https://docs.theanswer.ai/configuration/deployment) -- [Copilot](./DEPLOYMENT_COPILOT.md) -- [AWS](https://docs.theanswer.ai/deployment/aws) -- [Azure](https://docs.theanswer.ai/deployment/azure) -- [Digital Ocean](https://docs.theanswer.ai/deployment/digital-ocean) -- [GCP](https://docs.theanswer.ai/deployment/gcp) +- [AWS](https://docs.theanswer.ai/configuration/deployment/aws) +- [Azure](https://docs.theanswer.ai/configuration/deployment/azure) +- [Digital Ocean](https://docs.theanswer.ai/configuration/deployment/digital-ocean) +- [GCP](https://docs.theanswer.ai/configuration/deployment/gcp) +- [Alibaba Cloud](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Flowise社区版) -
Others - - [Railway](https://docs.theanswer.ai/deployment/railway) + - [Railway](https://docs.theanswer.ai/configuration/deployment/railway) [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/pn4G8S?referralCode=WVNPD9) - - [Render](https://docs.theanswer.ai/deployment/render) + - [Render](https://docs.theanswer.ai/configuration/deployment/render) - [![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.theanswer.ai/deployment/render) + [![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.theanswer.ai/configuration/deployment/render) - [HuggingFace Spaces](https://docs.theanswer.ai/deployment/hugging-face) @@ -294,7 +296,7 @@ Deploy TheAnswer self-hosted in your existing infrastructure. We support various - [Elestio](https://elest.io/open-source/theanswer) - [![Deploy](https://pub-da36157c854648669813f3f76c526c2b.r2.dev/deploy-on-elestio-black.png)](https://elest.io/open-source/theanswer) + [![Deploy on Elestio](https://elest.io/images/logos/deploy-to-elestio-btn.png)](https://elest.io/open-source/theanswer) - [Sealos](https://cloud.sealos.io/?openapp=system-template%3Dtheanswer) @@ -306,9 +308,9 @@ Deploy TheAnswer self-hosted in your existing infrastructure. We support various
-## 💻 Cloud Hosted +## ☁️ Flowise Cloud -Visit [https://theanswer.ai/](https://theanswer.ai/) to learn more about our cloud-hosted solution. +[Get Started with Flowise Cloud](https://theanswer.ai/) ## 🙋 Support @@ -338,7 +340,7 @@ For detailed contribution guidelines, please refer to our [CONTRIBUTING.md](CONT ### Contribution to Flowise Core -If your contribution is related to Flowise core functionality, consider submitting it to the [Flowise repository](https://github.com/FlowiseAI/Flowise) first. Once accepted, we can integrate it into TheAnswer. +If your contribution is related to Flowise core functionality, consider submitting it to the [Flowise repository](https://github.com/theanswer/Flowise) first. Once accepted, we can integrate it into TheAnswer. Thanks go to these awesome contributors of both TheAnswer and the original Flowise project: diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 00000000000..41377fec2ee --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,40 @@ +### Responsible Disclosure Policy + +At Flowise, we prioritize security and continuously work to safeguard our systems. However, vulnerabilities can still exist. If you identify a security issue, please report it to us so we can address it promptly. Your cooperation helps us better protect our platform and users. + +### Vulnerabilities + +The following types of issues are some of the most common vulnerabilities: + +- Clickjacking on pages without sensitive actions +- CSRF on unauthenticated/logout/login pages +- Attacks requiring MITM (Man-in-the-Middle) or physical device access +- Social engineering attacks +- Activities that cause service disruption (DoS) +- Content spoofing and text injection without a valid attack vector +- Email spoofing +- Absence of DNSSEC, CAA, CSP headers +- Missing Secure or HTTP-only flag on non-sensitive cookies +- Deadlinks +- User enumeration + +### Reporting Guidelines + +- Submit your findings to https://github.com/FlowiseAI/Flowise/security +- Provide clear details to help us reproduce and fix the issue quickly. + +### Disclosure Guidelines + +- Do not publicly disclose vulnerabilities until we have assessed, resolved, and notified affected users. +- If you plan to present your research (e.g., at a conference or in a blog), share a draft with us at least **30 days in advance** for review. +- Avoid including: + - Data from any Flowise customer projects + - Flowise user/customer information + - Details about Flowise employees, contractors, or partners + +### Response to Reports + +- We will acknowledge your report within **5 business days** and provide an estimated resolution timeline. +- Your report will be kept **confidential**, and your details will not be shared without your consent. + +We appreciate your efforts in helping us maintain a secure platform and look forward to working together to resolve any issues responsibly. diff --git a/apps/web/app/(Main UI)/(Chat UI)/chat/[chatId]/page.tsx b/apps/web/app/(Main UI)/(Chat UI)/chat/[chatId]/page.tsx index f746e724569..cc2becf744f 100644 --- a/apps/web/app/(Main UI)/(Chat UI)/chat/[chatId]/page.tsx +++ b/apps/web/app/(Main UI)/(Chat UI)/chat/[chatId]/page.tsx @@ -5,7 +5,7 @@ import ChatNotFound from '@ui/ChatNotFound' import getCachedSession from '@ui/getCachedSession' import { findSidekicksForChat } from '@utils/findSidekicksForChat' import auth0 from '@utils/auth/auth0' -import type { Chat as ChatType, User } from 'types' +import type { Chatflow, Chat as ChatType, User } from 'types' async function getChat(chatId: string, user: User) { // Get auth token for chatflow API @@ -20,22 +20,22 @@ async function getChat(chatId: string, user: User) { console.error('Auth error:', err) } - // Fetch local chat - const localChatPromise = prisma.chat.findUnique({ - where: { - id: chatId, - users: { - some: { - id: user.id - } - } - }, - include: { - users: { select: { id: true, email: true, image: true, name: true } } - } - }) - - // Fetch chatflow chat + // // Fetch local chat + // const localChatPromise = prisma.chat.findUnique({ + // where: { + // id: chatId, + // users: { + // some: { + // id: user.id + // } + // } + // }, + // include: { + // users: { select: { id: true, email: true, image: true, name: true } } + // } + // }) + + // Check if id corresponds to a valid chat const chatflowChatPromise = token ? fetch(`${user.chatflowDomain}/api/v1/chats/${chatId}`, { headers: { @@ -50,17 +50,37 @@ async function getChat(chatId: string, user: User) { }) : Promise.resolve(null) - const [localChat, chatflowChat] = await Promise.all([localChatPromise, chatflowChatPromise]) + const [chatflowChat] = await Promise.all([chatflowChatPromise]) // Return chatflow chat if local chat doesn't exist - if (!localChat && chatflowChat) { + if (chatflowChat) { + console.log('Chatflow Chat', chatflowChat) return { ...chatflowChat, chatflowChatId: chatflowChat.id } } - - return localChat + // If no Chat, return a new chat page with the correctly selected Sidekick based on the chatId but as a chatflowid + const chatflow: Chatflow = await (token + ? fetch(`${user.chatflowDomain}/api/v1/chatflows/${chatId}`, { + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + } + }) + .then((res) => (res.ok ? res.json() : null)) + .catch((err) => { + console.error('Error fetching chatflow chat:', err) + return null + }) + : Promise.resolve(null)) + console.log('Chatflow', chatflow) + if (chatflow) { + return { + chatflowId: chatflow.id, + sidekickId: chatflow.id + } + } } async function getMessages(chat: Partial, user: User) { @@ -78,19 +98,26 @@ async function getMessages(chat: Partial, user: User) { Authorization: `Bearer ${accessToken}` } }) - + // console.log('Token', accessToken) + // console.log('Result', result) if (!result.ok) { const error = new Error('Failed to fetch messages') throw error } - const messages = await result.json() + let messages: any[] = [] + try { + messages = await result.json() + } catch (err) { + console.error('Error parsing messages:', err) + } + console.log('Messages', messages) return messages?.map((m: any) => ({ ...m, - agentReasoning: m.agentReasoning ? JSON.parse(m.agentReasoning) : [], - usedTools: m.usedTools ? JSON.parse(m.usedTools) : [], - contextDocuments: m.sourceDocuments ? JSON.parse(m.sourceDocuments) : [], - fileUploads: (m.fileUploads ? JSON.parse(m.fileUploads) : [])?.map((f: any) => ({ + agentReasoning: JSON.parse(m.agentReasoning ?? '[]'), + usedTools: JSON.parse(m.usedTools ?? '[]'), + contextDocuments: JSON.parse(m.sourceDocuments ?? '[]'), + fileUploads: (m.fileUploads as any[])?.map((f: any) => ({ ...f, data: `${user.chatflowDomain}/api/v1/get-upload-file?chatflowId=${m.chatflowid}&chatId=${chat.chatflowChatId}&fileName=${f.name}` })) @@ -118,7 +145,6 @@ const ChatDetailPage = async ({ params }: { params: { chatId: string } }) => { try { // Fetch chat, messages and sidekicks in parallel const [chat, { sidekicks } = {}] = await Promise.all([getChat(params.chatId, user), findSidekicksForChat(user)]) - if (!chat) { return } @@ -130,6 +156,8 @@ const ChatDetailPage = async ({ params }: { params: { chatId: string } }) => { messages } + console.log('Chat', chat) + return } catch (error) { console.error(error) diff --git a/apps/web/app/(Main UI)/sidekick-studio/(main-layout)/assistants/page.tsx b/apps/web/app/(Main UI)/sidekick-studio/(main-layout)/assistants/page.tsx index 87f0bf26a07..eacd926426a 100644 --- a/apps/web/app/(Main UI)/sidekick-studio/(main-layout)/assistants/page.tsx +++ b/apps/web/app/(Main UI)/sidekick-studio/(main-layout)/assistants/page.tsx @@ -1,7 +1,7 @@ import React from 'react' import dynamic from 'next/dynamic' -const View = dynamic(() => import('@/views/assistants/index'), { ssr: true }) +const View = dynamic(() => import('@/views/assistants/index'), { ssr: false }) const Page = () => { return ( diff --git a/apps/web/next.config.js b/apps/web/next.config.js index 4cb472c11c7..cd83e650c32 100644 --- a/apps/web/next.config.js +++ b/apps/web/next.config.js @@ -68,7 +68,8 @@ let nextConfig = withBundleAnalyzer({ REACT_APP_AUTH0_DOMAIN: process.env.AUTH0_DOMAIN, REACT_APP_AUTH0_CLIENT_ID: process.env.AUTH0_CLIENT_ID, FLAGSMITH_ENVIRONMENT_ID: process.env.FLAGSMITH_ENVIRONMENT_ID, - AUTH0_SECRET: process.env.AUTH0_SECRET ?? process.env.WEB_AUTH0_SECRET + AUTH0_SECRET: process.env.AUTH0_SECRET ?? process.env.WEB_AUTH0_SECRET, + CHATFLOW_DOMAIN_OVERRIDE: process.env.CHATFLOW_DOMAIN_OVERRIDE }, webpack: (config, { isServer }) => { config.externals = [...config.externals, 'db', 'puppeteer', 'handlebars'] diff --git a/apps/web/package.json b/apps/web/package.json index cc40c11c4dc..dcc01c7e06d 100644 --- a/apps/web/package.json +++ b/apps/web/package.json @@ -12,7 +12,8 @@ "aai-embed": "workspace:*", "flowise-ui": "workspace:*", "jose": "^5.2.3", - "@auth0/nextjs-auth0": "^3.5.0", + "@auth0/nextjs-auth0": "3.5.0", + "@auth0/auth0-react": "2.3.0", "@aws-sdk/client-s3": "^3.374.0", "@aws-sdk/s3-request-presigner": "^3.374.0", "@aws-sdk/signature-v4-crt": "^3.357.0", diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml index 916ad4d49fd..f26af52fc86 100644 --- a/docker-compose.dev.yml +++ b/docker-compose.dev.yml @@ -1,68 +1,68 @@ version: '3' services: - # dev-inngest: - # image: node:18 - # working_dir: /app/packages/db - # volumes: - # - .:/app - # ports: - # - '8288:8288' - # command: npx inngest-cli@latest dev -u http://127.0.0.1:3000/api/inngest - # studio: - # image: node:18 - # working_dir: /app/packages/db - # volumes: - # - .:/app - # ports: - # - '5555:5555' - # command: npx prisma studio - # environment: - # - DATABASE_URL=postgresql://example_user:example_password@postgres:5432/example_db?schema=public - # depends_on: - # - postgres - redis: - image: redis:latest - ports: - - '6379:6379' - volumes: - - redis_data:/data - postgres: - image: postgres:latest - ports: - - '5432:5432' - volumes: - - postgres_data:/var/lib/postgresql/data/ - environment: - POSTGRES_PORT: 5432 - POSTGRES_USER: example_user - POSTGRES_PASSWORD: example_password - POSTGRES_DB: example_db - # langchain-frontend: - # image: notlangchain/langchainplus-frontend:latest - # ports: - # - 4173:4173 - # environment: - # - BACKEND_URL=http://langchain-backend:8000 - # - PUBLIC_BASE_URL=http://localhost:8000 - # - PUBLIC_DEV_MODE=true - # depends_on: - # - langchain-backend - # langchain-backend: - # image: notlangchain/langchainplus:latest - # environment: - # - PORT=8000 - # - LANGCHAIN_ENV=local - # ports: - # - 8000:8000 - # depends_on: - # - langchain-db - # langchain-db: - # image: postgres:14.1 - # environment: - # - POSTGRES_PASSWORD=postgres - # - POSTGRES_USER=postgres - # - POSTGRES_DB=postgres + # dev-inngest: + # image: node:18 + # working_dir: /app/packages/db + # volumes: + # - .:/app + # ports: + # - '8288:8288' + # command: npx inngest-cli@latest dev -u http://127.0.0.1:3000/api/inngest + # studio: + # image: node:18 + # working_dir: /app/packages/db + # volumes: + # - .:/app + # ports: + # - '5555:5555' + # command: npx prisma studio + # environment: + # - DATABASE_URL=postgresql://example_user:example_password@postgres:5432/example_db?schema=public + # depends_on: + # - postgres + redis: + image: redis:latest + ports: + - '6379:6379' + volumes: + - redis_data:/data + postgres: + image: postgres:16 + ports: + - '5432:5432' + volumes: + - postgres_data:/var/lib/postgresql/data/ + environment: + POSTGRES_PORT: 5432 + POSTGRES_USER: example_user + POSTGRES_PASSWORD: example_password + POSTGRES_DB: example_db + # langchain-frontend: + # image: notlangchain/langchainplus-frontend:latest + # ports: + # - 4173:4173 + # environment: + # - BACKEND_URL=http://langchain-backend:8000 + # - PUBLIC_BASE_URL=http://localhost:8000 + # - PUBLIC_DEV_MODE=true + # depends_on: + # - langchain-backend + # langchain-backend: + # image: notlangchain/langchainplus:latest + # environment: + # - PORT=8000 + # - LANGCHAIN_ENV=local + # ports: + # - 8000:8000 + # depends_on: + # - langchain-db + # langchain-db: + # image: postgres:14.1 + # environment: + # - POSTGRES_PASSWORD=postgres + # - POSTGRES_USER=postgres + # - POSTGRES_DB=postgres volumes: - postgres_data: - redis_data: + postgres_data: + redis_data: diff --git a/docker/.env.example b/docker/.env.example index e429df91ab7..bff5ef8f922 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -5,6 +5,8 @@ SECRETKEY_PATH=/root/.flowise LOG_PATH=/root/.flowise/logs BLOB_STORAGE_PATH=/root/.flowise/storage +# APIKEY_STORAGE_TYPE=json (json | db) + # NUMBER_OF_PROXIES= 1 # CORS_ORIGINS=* # IFRAME_ORIGINS=* @@ -18,13 +20,18 @@ BLOB_STORAGE_PATH=/root/.flowise/storage # DATABASE_SSL=true # DATABASE_SSL_KEY_BASE64= +# SECRETKEY_STORAGE_TYPE=local #(local | aws) +# SECRETKEY_PATH=/your_api_key_path/.flowise +# FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey +# SECRETKEY_AWS_ACCESS_KEY= +# SECRETKEY_AWS_SECRET_KEY= +# SECRETKEY_AWS_REGION=us-west-2 + # FLOWISE_USERNAME=user # FLOWISE_PASSWORD=1234 # FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey # FLOWISE_FILE_SIZE_LIMIT=50mb -# DISABLE_CHATFLOW_REUSE=true - # DEBUG=true # LOG_LEVEL=info (error | warn | info | verbose | debug) # TOOL_FUNCTION_BUILTIN_DEP=crypto,fs @@ -48,6 +55,43 @@ BLOB_STORAGE_PATH=/root/.flowise/storage # S3_STORAGE_SECRET_ACCESS_KEY= # S3_STORAGE_REGION=us-west-2 # S3_ENDPOINT_URL= +# S3_FORCE_PATH_STYLE=false -# APIKEY_STORAGE_TYPE=json (json | db) -# SHOW_COMMUNITY_NODES=true \ No newline at end of file +# SHOW_COMMUNITY_NODES=true +# DISABLED_NODES=bufferMemory,chatOpenAI (comma separated list of node names to disable) + +###################### +# METRICS COLLECTION +####################### +# ENABLE_METRICS=false +# METRICS_PROVIDER=prometheus # prometheus | open_telemetry +# METRICS_INCLUDE_NODE_METRICS=true # default is true +# METRICS_SERVICE_NAME=FlowiseAI + +# ONLY NEEDED if METRICS_PROVIDER=open_telemetry +# METRICS_OPEN_TELEMETRY_METRIC_ENDPOINT=http://localhost:4318/v1/metrics +# METRICS_OPEN_TELEMETRY_PROTOCOL=http # http | grpc | proto (default is http) +# METRICS_OPEN_TELEMETRY_DEBUG=true # default is false + +# Uncomment the following lines to enable global agent proxy +# see https://www.npmjs.com/package/global-agent for more details +# GLOBAL_AGENT_HTTP_PROXY=CorporateHttpProxyUrl +# GLOBAL_AGENT_HTTPS_PROXY=CorporateHttpsProxyUrl +# GLOBAL_AGENT_NO_PROXY=ExceptionHostsToBypassProxyIfNeeded + +###################### +# QUEUE CONFIGURATION +####################### +# MODE=queue #(queue | main) +# QUEUE_NAME=flowise-queue +# QUEUE_REDIS_EVENT_STREAM_MAX_LEN=100000 +# WORKER_CONCURRENCY=100000 +# REDIS_URL= +# REDIS_HOST=localhost +# REDIS_PORT=6379 +# REDIS_USERNAME= +# REDIS_PASSWORD= +# REDIS_TLS= +# REDIS_CERT= +# REDIS_KEY= +# REDIS_CA= \ No newline at end of file diff --git a/docker/Dockerfile b/docker/Dockerfile index 64d426b4e27..762e3d29641 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,5 +1,5 @@ # Stage 1: Build stage -FROM node:20-alpine as build +FROM node:20-alpine AS build USER root diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index 557bde76d50..07230e1e7fe 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -23,6 +23,7 @@ services: - DATABASE_PASSWORD=${DATABASE_PASSWORD} - DATABASE_SSL=${DATABASE_SSL} - DATABASE_SSL_KEY_BASE64=${DATABASE_SSL_KEY_BASE64} + - APIKEY_STORAGE_TYPE=${APIKEY_STORAGE_TYPE} - APIKEY_PATH=${APIKEY_PATH} - SECRETKEY_PATH=${SECRETKEY_PATH} - FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE} @@ -46,6 +47,23 @@ services: - MY_APP_VITE_AUTH_CLIENT_ID=${MY_APP_VITE_AUTH_CLIENT_ID} - MY_APP_VITE_AUTH_AUDIENCE=${MY_APP_VITE_AUTH_AUDIENCE} - MY_APP_VITE_AUTH_ORGANIZATION_ID=${MY_APP_VITE_AUTH_ORGANIZATION_ID} + - GLOBAL_AGENT_HTTP_PROXY=${GLOBAL_AGENT_HTTP_PROXY} + - GLOBAL_AGENT_HTTPS_PROXY=${GLOBAL_AGENT_HTTPS_PROXY} + - GLOBAL_AGENT_NO_PROXY=${GLOBAL_AGENT_NO_PROXY} + - DISABLED_NODES=${DISABLED_NODES} + - MODE=${MODE} + - WORKER_CONCURRENCY=${WORKER_CONCURRENCY} + - QUEUE_NAME=${QUEUE_NAME} + - QUEUE_REDIS_EVENT_STREAM_MAX_LEN=${QUEUE_REDIS_EVENT_STREAM_MAX_LEN} + - REDIS_URL=${REDIS_URL} + - REDIS_HOST=${REDIS_HOST} + - REDIS_PORT=${REDIS_PORT} + - REDIS_PASSWORD=${REDIS_PASSWORD} + - REDIS_USERNAME=${REDIS_USERNAME} + - REDIS_TLS=${REDIS_TLS} + - REDIS_CERT=${REDIS_CERT} + - REDIS_KEY=${REDIS_KEY} + - REDIS_CA=${REDIS_CA} ports: - '${PORT}:${PORT}' volumes: diff --git a/docker/worker/README.md b/docker/worker/README.md new file mode 100644 index 00000000000..82769c1e2a1 --- /dev/null +++ b/docker/worker/README.md @@ -0,0 +1,24 @@ +# Flowise Worker + +By utilizing worker instances when operating in queue mode, Flowise can be scaled horizontally by adding more workers to handle increased workloads or scaled down by removing workers when demand decreases. + +Here’s an overview of the process: + +1. The primary Flowise instance sends an execution ID to a message broker, Redis, which maintains a queue of pending executions, allowing the next available worker to process them. +2. A worker from the pool retrieves a message from Redis. + The worker starts execute the actual job. +3. Once the execution is completed, the worker alerts the main instance that the execution is finished. + +# How to use + +## Setting up Main Server: + +1. Follow [setup guide](https://github.com/FlowiseAI/Flowise/blob/main/docker/README.md) +2. In the `.env.example`, setup all the necessary env variables for `QUEUE CONFIGURATION` + +## Setting up Worker: + +1. Copy paste the same `.env` file used to setup main server. Change the `PORT` to other available port numbers. Ex: 5566 +2. `docker compose up -d` +3. Open [http://localhost:5566](http://localhost:5566) +4. You can bring the worker container down by `docker compose stop` diff --git a/docker/worker/docker-compose.yml b/docker/worker/docker-compose.yml new file mode 100644 index 00000000000..88a8631d0df --- /dev/null +++ b/docker/worker/docker-compose.yml @@ -0,0 +1,54 @@ +version: '3.1' + +services: + flowise: + image: flowiseai/flowise + restart: always + environment: + - PORT=${PORT} + - CORS_ORIGINS=${CORS_ORIGINS} + - IFRAME_ORIGINS=${IFRAME_ORIGINS} + - FLOWISE_USERNAME=${FLOWISE_USERNAME} + - FLOWISE_PASSWORD=${FLOWISE_PASSWORD} + - FLOWISE_FILE_SIZE_LIMIT=${FLOWISE_FILE_SIZE_LIMIT} + - DEBUG=${DEBUG} + - DATABASE_PATH=${DATABASE_PATH} + - DATABASE_TYPE=${DATABASE_TYPE} + - DATABASE_PORT=${DATABASE_PORT} + - DATABASE_HOST=${DATABASE_HOST} + - DATABASE_NAME=${DATABASE_NAME} + - DATABASE_USER=${DATABASE_USER} + - DATABASE_PASSWORD=${DATABASE_PASSWORD} + - DATABASE_SSL=${DATABASE_SSL} + - DATABASE_SSL_KEY_BASE64=${DATABASE_SSL_KEY_BASE64} + - APIKEY_STORAGE_TYPE=${APIKEY_STORAGE_TYPE} + - APIKEY_PATH=${APIKEY_PATH} + - SECRETKEY_PATH=${SECRETKEY_PATH} + - FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE} + - LOG_LEVEL=${LOG_LEVEL} + - LOG_PATH=${LOG_PATH} + - BLOB_STORAGE_PATH=${BLOB_STORAGE_PATH} + - DISABLE_FLOWISE_TELEMETRY=${DISABLE_FLOWISE_TELEMETRY} + - MODEL_LIST_CONFIG_JSON=${MODEL_LIST_CONFIG_JSON} + - GLOBAL_AGENT_HTTP_PROXY=${GLOBAL_AGENT_HTTP_PROXY} + - GLOBAL_AGENT_HTTPS_PROXY=${GLOBAL_AGENT_HTTPS_PROXY} + - GLOBAL_AGENT_NO_PROXY=${GLOBAL_AGENT_NO_PROXY} + - DISABLED_NODES=${DISABLED_NODES} + - MODE=${MODE} + - WORKER_CONCURRENCY=${WORKER_CONCURRENCY} + - QUEUE_NAME=${QUEUE_NAME} + - QUEUE_REDIS_EVENT_STREAM_MAX_LEN=${QUEUE_REDIS_EVENT_STREAM_MAX_LEN} + - REDIS_URL=${REDIS_URL} + - REDIS_HOST=${REDIS_HOST} + - REDIS_PORT=${REDIS_PORT} + - REDIS_PASSWORD=${REDIS_PASSWORD} + - REDIS_USERNAME=${REDIS_USERNAME} + - REDIS_TLS=${REDIS_TLS} + - REDIS_CERT=${REDIS_CERT} + - REDIS_KEY=${REDIS_KEY} + - REDIS_CA=${REDIS_CA} + ports: + - '${PORT}:${PORT}' + volumes: + - ~/.flowise:/root/.flowise + entrypoint: /bin/sh -c "sleep 3; flowise worker" diff --git a/i18n/CONTRIBUTING-ZH.md b/i18n/CONTRIBUTING-ZH.md index 00bc490296b..0ab1eb961ba 100644 --- a/i18n/CONTRIBUTING-ZH.md +++ b/i18n/CONTRIBUTING-ZH.md @@ -118,39 +118,40 @@ Flowise 在一个单一的单体存储库中有 3 个不同的模块。 Flowise 支持不同的环境变量来配置您的实例。您可以在 `packages/server` 文件夹中的 `.env` 文件中指定以下变量。阅读[更多信息](https://docs.flowiseai.com/environment-variables) -| 变量名 | 描述 | 类型 | 默认值 | -| ---------------------------- | -------------------------------------------------------------------- | ----------------------------------------------- | ----------------------------------- | -| PORT | Flowise 运行的 HTTP 端口 | 数字 | 3000 | -| FLOWISE_USERNAME | 登录用户名 | 字符串 | | -| FLOWISE_PASSWORD | 登录密码 | 字符串 | | -| FLOWISE_FILE_SIZE_LIMIT | 上传文件大小限制 | 字符串 | 50mb | -| DISABLE_CHATFLOW_REUSE | 强制为每次调用创建一个新的 ChatFlow，而不是重用缓存中的现有 ChatFlow | 布尔值 | | -| DEBUG | 打印组件的日志 | 布尔值 | | -| LOG_PATH | 存储日志文件的位置 | 字符串 | `your-path/Flowise/logs` | -| LOG_LEVEL | 日志的不同级别 | 枚举字符串: `error`, `info`, `verbose`, `debug` | `info` | -| APIKEY_STORAGE_TYPE | 存储 API 密钥的存储类型 | 枚举字符串: `json`, `db` | `json` | -| APIKEY_PATH | 存储 API 密钥的位置, 当`APIKEY_STORAGE_TYPE`是`json` | 字符串 | `your-path/Flowise/packages/server` | -| TOOL_FUNCTION_BUILTIN_DEP | 用于工具函数的 NodeJS 内置模块 | 字符串 | | -| TOOL_FUNCTION_EXTERNAL_DEP | 用于工具函数的外部模块 | 字符串 | | -| DATABASE_TYPE | 存储 flowise 数据的数据库类型 | 枚举字符串: `sqlite`, `mysql`, `postgres` | `sqlite` | -| DATABASE_PATH | 数据库保存的位置（当 DATABASE_TYPE 是 sqlite 时） | 字符串 | `your-home-dir/.flowise` | -| DATABASE_HOST | 主机 URL 或 IP 地址（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | -| DATABASE_PORT | 数据库端口（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | -| DATABASE_USERNAME | 数据库用户名（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | -| DATABASE_PASSWORD | 数据库密码（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | -| DATABASE_NAME | 数据库名称（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | -| SECRETKEY_PATH | 保存加密密钥（用于加密/解密凭据）的位置 | 字符串 | `your-path/Flowise/packages/server` | -| FLOWISE_SECRETKEY_OVERWRITE | 加密密钥用于替代存储在 SECRETKEY_PATH 中的密钥 | 字符串 | -| DISABLE_FLOWISE_TELEMETRY | 关闭遥测 | 字符串 | -| MODEL_LIST_CONFIG_JSON | 加载模型的位置 | 字符 | `/your_model_list_config_file_path` | -| STORAGE_TYPE | 上传文件的存储类型 | 枚举字符串: `local`, `s3` | `local` | -| BLOB_STORAGE_PATH | 上传文件存储的本地文件夹路径, 当`STORAGE_TYPE`是`local` | 字符串 | `your-home-dir/.flowise/storage` | -| S3_STORAGE_BUCKET_NAME | S3 存储文件夹路径, 当`STORAGE_TYPE`是`s3` | 字符串 | | -| S3_STORAGE_ACCESS_KEY_ID | AWS 访问密钥 (Access Key) | 字符串 | | -| S3_STORAGE_SECRET_ACCESS_KEY | AWS 密钥 (Secret Key) | 字符串 | | -| S3_STORAGE_REGION | S3 存储地区 | 字符串 | | -| S3_ENDPOINT_URL | S3 端点 URL | 字符串 | | -| SHOW_COMMUNITY_NODES | 显示由社区创建的节点 | 布尔值 | | +| 变量名 | 描述 | 类型 | 默认值 | +| ---------------------------- | ------------------------------------------------------- | ----------------------------------------------- | ----------------------------------- | --- | +| PORT | Flowise 运行的 HTTP 端口 | 数字 | 3000 | +| FLOWISE_USERNAME | 登录用户名 | 字符串 | | +| FLOWISE_PASSWORD | 登录密码 | 字符串 | | +| FLOWISE_FILE_SIZE_LIMIT | 上传文件大小限制 | 字符串 | 50mb | | +| DEBUG | 打印组件的日志 | 布尔值 | | +| LOG_PATH | 存储日志文件的位置 | 字符串 | `your-path/Flowise/logs` | +| LOG_LEVEL | 日志的不同级别 | 枚举字符串: `error`, `info`, `verbose`, `debug` | `info` | +| APIKEY_STORAGE_TYPE | 存储 API 密钥的存储类型 | 枚举字符串: `json`, `db` | `json` | +| APIKEY_PATH | 存储 API 密钥的位置, 当`APIKEY_STORAGE_TYPE`是`json` | 字符串 | `your-path/Flowise/packages/server` | +| TOOL_FUNCTION_BUILTIN_DEP | 用于工具函数的 NodeJS 内置模块 | 字符串 | | +| TOOL_FUNCTION_EXTERNAL_DEP | 用于工具函数的外部模块 | 字符串 | | +| DATABASE_TYPE | 存储 flowise 数据的数据库类型 | 枚举字符串: `sqlite`, `mysql`, `postgres` | `sqlite` | +| DATABASE_PATH | 数据库保存的位置（当 DATABASE_TYPE 是 sqlite 时） | 字符串 | `your-home-dir/.flowise` | +| DATABASE_HOST | 主机 URL 或 IP 地址（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | +| DATABASE_PORT | 数据库端口（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | +| DATABASE_USERNAME | 数据库用户名（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | +| DATABASE_PASSWORD | 数据库密码（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | +| DATABASE_NAME | 数据库名称（当 DATABASE_TYPE 不是 sqlite 时） | 字符串 | | +| SECRETKEY_PATH | 保存加密密钥（用于加密/解密凭据）的位置 | 字符串 | `your-path/Flowise/packages/server` | +| FLOWISE_SECRETKEY_OVERWRITE | 加密密钥用于替代存储在 SECRETKEY_PATH 中的密钥 | 字符串 | +| DISABLE_FLOWISE_TELEMETRY | 关闭遥测 | 字符串 | +| MODEL_LIST_CONFIG_JSON | 加载模型的位置 | 字符 | `/your_model_list_config_file_path` | +| STORAGE_TYPE | 上传文件的存储类型 | 枚举字符串: `local`, `s3` | `local` | +| BLOB_STORAGE_PATH | 上传文件存储的本地文件夹路径, 当`STORAGE_TYPE`是`local` | 字符串 | `your-home-dir/.flowise/storage` | +| S3_STORAGE_BUCKET_NAME | S3 存储文件夹路径, 当`STORAGE_TYPE`是`s3` | 字符串 | | +| S3_STORAGE_ACCESS_KEY_ID | AWS 访问密钥 (Access Key) | 字符串 | | +| S3_STORAGE_SECRET_ACCESS_KEY | AWS 密钥 (Secret Key) | 字符串 | | +| S3_STORAGE_REGION | S3 存储地区 | 字符串 | | +| S3_ENDPOINT_URL | S3 端点 URL | 字符串 | | +| S3_FORCE_PATH_STYLE | 将其设置为 true 以强制请求使用路径样式寻址 | 布尔值 | false | +| SHOW_COMMUNITY_NODES | 显示由社区创建的节点 | 布尔值 | | +| DISABLED_NODES | 从界面中隐藏节点（以逗号分隔的节点名称列表） | 字符串 | | 您也可以在使用 `npx` 时指定环境变量。例如： @@ -165,5 +166,3 @@ npx flowise start --PORT=3000 --DEBUG=true ## 🏷️ Pull Request 流程 当您打开一个 Pull Request 时，FlowiseAI 团队的成员将自动收到通知/指派。您也可以在 [Discord](https://discord.gg/jbaHfsRVBW) 上联系我们。 - -## diff --git a/i18n/README-JA.md b/i18n/README-JA.md index 2e316917e03..c30dbfb28e3 100644 --- a/i18n/README-JA.md +++ b/i18n/README-JA.md @@ -10,7 +10,7 @@ [![GitHub star chart](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=social)](https://star-history.com/#FlowiseAI/Flowise) [![GitHub fork](https://img.shields.io/github/forks/FlowiseAI/Flowise?style=social)](https://github.com/FlowiseAI/Flowise/fork) -[English](../README.md) | [中文](./README-ZH.md) | 日本語 | [한국어](./README-KR.md) +[English](../README.md) | [繁體中文](./README-TW.md) | [簡體中文](./README-ZH.md) | 日本語 | [한국어](./README-KR.md)

ドラッグ＆ドロップでカスタマイズした LLM フローを構築できる UI

 @@ -180,9 +180,9 @@ Flowise は、インスタンスを設定するためのさまざまな環境変 -## 💻 クラウドホスト +## ☁️ クラウドホスト -近日公開 +[Flowise Cloud の使い方を始める](https://flowiseai.com/) ## 🙋 サポート diff --git a/i18n/README-KR.md b/i18n/README-KR.md index 9d705417211..f994580ad76 100644 --- a/i18n/README-KR.md +++ b/i18n/README-KR.md @@ -10,7 +10,7 @@ [![GitHub star chart](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=social)](https://star-history.com/#FlowiseAI/Flowise) [![GitHub fork](https://img.shields.io/github/forks/FlowiseAI/Flowise?style=social)](https://github.com/FlowiseAI/Flowise/fork) -[English](../README.md) | [中文](./README-ZH.md) | [日本語](./README-JA.md) | 한국어 +[English](../README.md) | [繁體中文](./README-TW.md) | [簡體中文](./README-ZH.md) | [日本語](./README-JA.md) | 한국어

드래그 앤 드롭 UI로 맞춤형 LLM 플로우 구축하기

 @@ -180,9 +180,9 @@ Flowise는 인스턴스 구성을 위한 다양한 환경 변수를 지원합니 -## 💻 클라우드 호스팅 서비스 +## ☁️ 클라우드 호스팅 서비스 -곧 출시될 예정입니다. +[Flowise Cloud 시작하기](https://flowiseai.com/) ## 🙋 기술 지원 diff --git a/i18n/README-TW.md b/i18n/README-TW.md new file mode 100644 index 00000000000..0bf81f74382 --- /dev/null +++ b/i18n/README-TW.md @@ -0,0 +1,216 @@ + + + + +# Flowise - 輕鬆構建 LLM 應用 + +[![Release Notes](https://img.shields.io/github/release/FlowiseAI/Flowise)](https://github.com/FlowiseAI/Flowise/releases) +[![Discord](https://img.shields.io/discord/1087698854775881778?label=Discord&logo=discord)](https://discord.gg/jbaHfsRVBW) +[![Twitter Follow](https://img.shields.io/twitter/follow/FlowiseAI?style=social)](https://twitter.com/FlowiseAI) +[![GitHub star chart](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=social)](https://star-history.com/#FlowiseAI/Flowise) +[![GitHub fork](https://img.shields.io/github/forks/FlowiseAI/Flowise?style=social)](https://github.com/FlowiseAI/Flowise/fork) + +[English](../README.md) | 繁體中文 | [簡體中文](./i18n/README-ZH.md) | [日本語](./i18n/README-JA.md) | [한국어](./i18n/README-KR.md) + +

拖放 UI 以構建自定義的 LLM 流程

+ + + +## ⚡快速開始 + +下載並安裝 [NodeJS](https://nodejs.org/en/download) >= 18.15.0 + +1. 安裝 Flowise + ```bash + npm install -g flowise + ``` +2. 啟動 Flowise + + ```bash + npx flowise start + ``` + + 使用用戶名和密碼 + + ```bash + npx flowise start --FLOWISE_USERNAME=user --FLOWISE_PASSWORD=1234 + ``` + +3. 打開 [http://localhost:3000](http://localhost:3000) + +## 🐳 Docker + +### Docker Compose + +1. 克隆 Flowise 項目 +2. 進入項目根目錄的 `docker` 文件夾 +3. 複製 `.env.example` 文件，粘貼到相同位置，並重命名為 `.env` 文件 +4. `docker compose up -d` +5. 打開 [http://localhost:3000](http://localhost:3000) +6. 您可以通過 `docker compose stop` 停止容器 + +### Docker 映像 + +1. 本地構建映像： + ```bash + docker build --no-cache -t flowise . + ``` +2. 運行映像： + + ```bash + docker run -d --name flowise -p 3000:3000 flowise + ``` + +3. 停止映像： + ```bash + docker stop flowise + ``` + +## 👨‍💻 開發者 + +Flowise 在單個 mono 存儲庫中有 3 個不同的模塊。 + +- `server`: 提供 API 邏輯的 Node 後端 +- `ui`: React 前端 +- `components`: 第三方節點集成 +- `api-documentation`: 從 express 自動生成的 swagger-ui API 文檔 + +### 先決條件 + +- 安裝 [PNPM](https://pnpm.io/installation) + ```bash + npm i -g pnpm + ``` + +### 設置 + +1. 克隆存儲庫 + + ```bash + git clone https://github.com/FlowiseAI/Flowise.git + ``` + +2. 進入存儲庫文件夾 + + ```bash + cd Flowise + ``` + +3. 安裝所有模塊的所有依賴項： + + ```bash + pnpm install + ``` + +4. 構建所有代碼： + + ```bash + pnpm build + ``` + +
+ 退出代碼 134（JavaScript 堆內存不足） + 如果在運行上述 `build` 腳本時遇到此錯誤，請嘗試增加 Node.js 堆大小並重新運行腳本： + + export NODE_OPTIONS="--max-old-space-size=4096" + pnpm build + +
+ +5. 啟動應用： + + ```bash + pnpm start + ``` + + 您現在可以訪問 [http://localhost:3000](http://localhost:3000) + +6. 對於開發構建： + + - 在 `packages/ui` 中創建 `.env` 文件並指定 `VITE_PORT`（參考 `.env.example`） + - 在 `packages/server` 中創建 `.env` 文件並指定 `PORT`（參考 `.env.example`） + - 運行 + + ```bash + pnpm dev + ``` + + 任何代碼更改都會自動重新加載應用程序 [http://localhost:8080](http://localhost:8080) + +## 🔒 認證 + +要啟用應用級別的身份驗證，請在 `packages/server` 中的 `.env` 文件中添加 `FLOWISE_USERNAME` 和 `FLOWISE_PASSWORD`： + +``` +FLOWISE_USERNAME=user +FLOWISE_PASSWORD=1234 +``` + +## 🌱 環境變量 + +Flowise 支持不同的環境變量來配置您的實例。您可以在 `packages/server` 文件夾中的 `.env` 文件中指定以下變量。閱讀 [更多](https://github.com/FlowiseAI/Flowise/blob/main/CONTRIBUTING.md#-env-variables) + +## 📖 文檔 + +[Flowise 文檔](https://docs.flowiseai.com/) + +## 🌐 自我托管 + +在您現有的基礎設施中部署 Flowise 自我托管，我們支持各種 [部署](https://docs.flowiseai.com/configuration/deployment) + +- [AWS](https://docs.flowiseai.com/configuration/deployment/aws) +- [Azure](https://docs.flowiseai.com/configuration/deployment/azure) +- [Digital Ocean](https://docs.flowiseai.com/configuration/deployment/digital-ocean) +- [GCP](https://docs.flowiseai.com/configuration/deployment/gcp) +- [阿里雲](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Flowise社区版) +-
+ 其他 + + - [Railway](https://docs.flowiseai.com/configuration/deployment/railway) + + [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/pn4G8S?referralCode=WVNPD9) + + - [Render](https://docs.flowiseai.com/configuration/deployment/render) + + [![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/configuration/deployment/render) + + - [HuggingFace Spaces](https://docs.flowiseai.com/deployment/hugging-face) + + HuggingFace Spaces + + - [Elestio](https://elest.io/open-source/flowiseai) + + [![Deploy on Elestio](https://elest.io/images/logos/deploy-to-elestio-btn.png)](https://elest.io/open-source/flowiseai) + + - [Sealos](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + [![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + - [RepoCloud](https://repocloud.io/details/?app_id=29) + + [![Deploy on RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploy.png)](https://repocloud.io/details/?app_id=29) + +
+ +## ☁️ Flowise 雲 + +[開始使用 Flowise 雲](https://flowiseai.com/) + +## 🙋 支持 + +隨時在 [討論](https://github.com/FlowiseAI/Flowise/discussions) 中提出任何問題、提出問題和請求新功能 + +## 🙌 貢獻 + +感謝這些出色的貢獻者 + + + + + +請參閱 [貢獻指南](CONTRIBUTING.md)。如果您有任何問題或問題，請通過 [Discord](https://discord.gg/jbaHfsRVBW) 與我們聯繫。 +[![Star History Chart](https://api.star-history.com/svg?repos=FlowiseAI/Flowise&type=Timeline)](https://star-history.com/#FlowiseAI/Flowise&Date) + +## 📄 許可證 + +此存儲庫中的源代碼根據 [Apache 許可證版本 2.0](LICENSE.md) 提供。 diff --git a/i18n/README-ZH.md b/i18n/README-ZH.md index 6137aaf35a2..9fba33f9d8b 100644 --- a/i18n/README-ZH.md +++ b/i18n/README-ZH.md @@ -10,7 +10,7 @@ [![GitHub星图](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=social)](https://star-history.com/#FlowiseAI/Flowise) [![GitHub分支](https://img.shields.io/github/forks/FlowiseAI/Flowise?style=social)](https://github.com/FlowiseAI/Flowise/fork) -[English](../README.md) | 中文 | [日本語](./README-JA.md) | [한국어](./README-KR.md) +[English](../README.md) | 簡體中文 | [日本語](./README-JA.md) | [한국어](./README-KR.md)

拖放界面构建定制化的LLM流程

@@ -180,9 +180,9 @@ Flowise 支持不同的环境变量来配置您的实例。您可以在 `package -## 💻 云托管 +## ☁️ 云托管 -即将推出 +[开始使用云托管](https://flowiseai.com/) ## 🙋 支持 diff --git a/metrics/grafana/grafana.dashboard.app.json.txt b/metrics/grafana/grafana.dashboard.app.json.txt new file mode 100644 index 00000000000..d68c5ff36ef --- /dev/null +++ b/metrics/grafana/grafana.dashboard.app.json.txt @@ -0,0 +1,639 @@ +{ + "annotations": { + "list": [ + { + "builtIn": 1, + "datasource": { + "type": "grafana", + "uid": "-- Grafana --" + }, + "enable": true, + "hide": true, + "iconColor": "rgba(0, 211, 255, 1)", + "name": "Annotations & Alerts", + "type": "dashboard" + }, + { + "datasource": { + "type": "prometheus", + "uid": "cds4j1ybfuhogb" + }, + "enable": true, + "expr": "ALERTS", + "hide": false, + "iconColor": "rgba(255, 96, 96, 1)", + "limit": 100, + "name": "Alerts", + "showIn": 0, + "step": "10s", + "type": "alert" + } + ] + }, + "description": "Application metrics", + "editable": true, + "fiscalYearStartMonth": 0, + 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00000000000..b792304fb9d --- /dev/null +++ b/metrics/otel/compose.yaml @@ -0,0 +1,16 @@ +version: '2' +services: + otel-collector: + image: otel/opentelemetry-collector-contrib + command: + ['--config=/etc/otelcol-contrib/config.yaml', '--feature-gates=-exporter.datadogexporter.DisableAPMStats', '${OTELCOL_ARGS}'] + volumes: + - ./otel.config.yml:/etc/otelcol-contrib/config.yaml + ports: + - 1888:1888 # pprof extension + - 8888:8888 # Prometheus metrics exposed by the Collector + - 8889:8889 # Prometheus exporter metrics + - 13133:13133 # health_check extension + - 4317:4317 # OTLP gRPC receiver + - 4318:4318 # OTLP http receiver + - 55679:55679 # zpages extension diff --git a/metrics/otel/otel.config.yml b/metrics/otel/otel.config.yml new file mode 100644 index 00000000000..d741397022f --- /dev/null +++ b/metrics/otel/otel.config.yml @@ -0,0 +1,72 @@ +receivers: + otlp: + protocols: + http: + endpoint: 0.0.0.0:4318 + grpc: + endpoint: 0.0.0.0:4317 + # The hostmetrics receiver is required to get correct infrastructure metrics in Datadog. + hostmetrics: + collection_interval: 10s + scrapers: + paging: + metrics: + system.paging.utilization: + enabled: true + cpu: + metrics: + system.cpu.utilization: + enabled: true + disk: + filesystem: + metrics: + system.filesystem.utilization: + enabled: true + load: + memory: + network: + + # The prometheus receiver scrapes metrics needed for the OpenTelemetry Collector Dashboard. + prometheus: + config: + scrape_configs: + - job_name: 'otelcol' + scrape_interval: 10s + static_configs: + - targets: ['0.0.0.0:8888'] + + filelog: + include_file_path: true + poll_interval: 10s + include: + - /var/log/**/*example*/*.log + +processors: + batch: + send_batch_max_size: 100 + send_batch_size: 10 + timeout: 10s + +connectors: + datadog/connector: + +exporters: + datadog/exporter: + api: + site: us5.datadoghq.com + key: 'replace_api_key' + +service: + pipelines: + metrics: + receivers: [datadog/connector, hostmetrics, prometheus, otlp] + processors: [batch] + exporters: [datadog/exporter] + traces: + receivers: [otlp] + processors: [batch] + exporters: [datadog/connector, datadog/exporter] + logs: + receivers: [otlp, filelog] + processors: [batch] + exporters: [datadog/exporter] diff --git a/metrics/prometheus/prometheus.config.yml b/metrics/prometheus/prometheus.config.yml new file mode 100644 index 00000000000..3178ff02312 --- /dev/null +++ b/metrics/prometheus/prometheus.config.yml @@ -0,0 +1,9 @@ +global: + scrape_interval: 5s +scrape_configs: + - job_name: 'FlowiseAI' + static_configs: + - targets: ['localhost:8080', 'localhost:3000'] + + metrics_path: /api/v1/metrics/ + scheme: http diff --git a/package.json b/package.json index e4d9571dde8..96141dda870 100644 --- a/package.json +++ b/package.json @@ -1,16 +1,29 @@ { "name": "theanswer", - "version": "0.0.1", + "version": "2.2.7", "private": true, "homepage": "https://theanswer.ai", + "workspaces": [ + "packages/*", + "flowise", + "ui", + "components", + "api-documentation", + "packages-answers/*", + "apps/web", + "apps/desktop" + ], "scripts": { - "build": "turbo run build ", + "build": "dotenv -- turbo run build ", "build-force": "pnpm clean && turbo run build --force", "dev": "dotenv -- turbo run dev dev-docker", "dev-docker": "docker-compose -f \"./docker-compose.dev.yml\" up -d", - "start": "run-script-os", + "start": "dotenv -- pnpm turbo run start", "start:windows": "cd packages/server/bin && run start", "start:default": "cd packages/server/bin && ./run start", + "start-worker": "run-script-os", + "start-worker:windows": "cd packages/server/bin && run worker", + "start-worker:default": "cd packages/server/bin && ./run worker", "clean": "pnpm --filter \"./packages/**\" clean", "nuke": "pnpm --filter \"./packages/**\" nuke && rimraf node_modules .turbo", "format": "prettier --write \"**/*.{ts,tsx,md}\"", @@ -71,17 +84,35 @@ "onlyBuiltDependencies": [ "faiss-node", "sqlite3" - ] + ], + "overrides": { + "axios": "1.7.9", + "body-parser": "2.0.2", + "braces": "3.0.3", + "cross-spawn": "7.0.6", + "glob-parent": "6.0.2", + "http-proxy-middleware": "3.0.3", + "json5": "2.2.3", + "nth-check": "2.1.1", + "path-to-regexp": "0.1.12", + "prismjs": "1.29.0", + "semver": "7.7.1", + "set-value": "4.1.0", + "unset-value": "2.0.1", + "webpack-dev-middleware": "7.4.2" + } }, "engines": { "node": ">=18.15.0 <19.0.0 || ^20", "pnpm": ">=9" }, "resolutions": { + "@google/generative-ai": "^0.22.0", + "@grpc/grpc-js": "^1.10.10", + "@langchain/core": "0.3.37", "@qdrant/openapi-typescript-fetch": "1.2.6", - "@google/generative-ai": "^0.15.0", - "openai": "4.51.0", - "@langchain/core": "0.2.18" + "openai": "4.82.0", + "protobufjs": "7.4.0" }, "eslintIgnore": [ "**/dist", diff --git a/packages-answers/ui/package.json b/packages-answers/ui/package.json index a1f2716ddd3..2d4f36121f9 100644 --- a/packages-answers/ui/package.json +++ b/packages-answers/ui/package.json @@ -25,7 +25,8 @@ "typescript": "^4.8.4" }, "dependencies": { - "@auth0/nextjs-auth0": "^3.5.0", + "@auth0/nextjs-auth0": "3.5.0", + "@auth0/auth0-react": "2.3.0", "@emotion/cache": "^11.4.0", "@emotion/react": "^11.10.6", "@emotion/styled": "^11.10.6", diff --git a/packages-answers/ui/src/AnswersContext.tsx b/packages-answers/ui/src/AnswersContext.tsx index ce0ff73ee64..b824875e123 100644 --- a/packages-answers/ui/src/AnswersContext.tsx +++ b/packages-answers/ui/src/AnswersContext.tsx @@ -2,30 +2,19 @@ import React, { SetStateAction, createContext, useCallback, useContext, useRef, useState, useEffect } from 'react' import axios from 'axios' import { useRouter } from 'next/navigation' -import useSWR, { mutate } from 'swr' import { cloneDeep } from 'lodash' -import socketIOClient from 'socket.io-client' // @ts-ignore import { deepmerge } from '@utils/deepmerge' -import { useStreamedResponse } from './useStreamedResponse' import { clearEmptyValues } from './clearEmptyValues' import predictionApi from '@/api/prediction' +import { EventStreamContentType, fetchEventSource } from '@microsoft/fetch-event-source' + +import { AnswersFilters, AppSettings, Chat, Journey, Message, Prompt, Sidekick, User, MessageFeedback, SidekickListItem } from 'types' +import { ChatbotConfig } from './types' +import { FlowData } from './types' -import { - AnswersFilters, - AppSettings, - Chat, - Journey, - Message, - Prompt, - Sidekick, - User, - MessageFeedback, - SidekickListItem, - ChatbotConfig, - FlowData -} from 'types' // import { useUserPlans } from './hooks/useUserPlan'; +import { v4 as uuidv4 } from 'uuid' interface PredictionParams { question: string @@ -35,6 +24,7 @@ interface PredictionParams { uploads?: string[] audio?: File | null socketIOClientId?: string + streaming?: boolean } interface AnswersContextType { @@ -149,51 +139,8 @@ interface AnswersProviderProps { // chats?: Chat[]; } -const fetcher = (url: string) => { - return axios - .get(url) - .then((res) => { - return res.data - }) - .catch((error) => { - throw error - }) -} - -// Add axios interceptor setup -const setupAxiosInterceptors = (apiUrl: string) => { - // Create axios instance - const axiosInstance = axios.create({ - baseURL: apiUrl - }) - - // Request interceptor - axiosInstance.interceptors.request.use( - (config) => { - // Get token from session storage - const token = sessionStorage.getItem('access_token') - if (token) { - config.headers.Authorization = `Bearer ${token}` - } - - // Get chatflow domain from user - const baseURL = sessionStorage.getItem('baseURL') || '' - if (baseURL) { - config.baseURL = `${baseURL}/api/v1` - } - - return config - }, - (error) => { - return Promise.reject(error) - } - ) - - return axiosInstance -} - export function AnswersProvider({ - chat: initialChat, + chat, journey: initialJourney, sidekicks, user, @@ -204,10 +151,9 @@ export function AnswersProvider({ apiUrl = '/api' }: AnswersProviderProps) { const router = useRouter() - const axiosInstance = React.useMemo(() => setupAxiosInterceptors(apiUrl), [apiUrl]) const [error, setError] = useState(null) const [inputValue, setInputValue] = useState('') - // const [chat, setChat] = useState(initialChat); + // const [chat, setChat] = useState(chat); const [journey, setJourney] = useState(initialJourney) const [isLoading, setIsLoading] = useState(false) @@ -218,81 +164,19 @@ export function AnswersProvider({ const [gptModel, setGptModel] = useState('gpt-3.5-turbo') const messageIdx = useRef(0) - // const { mutateActiveUserPlan } = useUserPlans(); - const { isStreaming, generateResponse } = useStreamedResponse({ - apiUrl, - onError: (err) => { - setIsLoading(false) - setError(err) - }, - // setChat, - onChunk: (chunk: Message) => { - // const idx = messages?.length; - - setMessages((currentMessages) => { - const newMessages = [...currentMessages] - newMessages[messageIdx.current] = { ...chunk, isLoading: true } + const [chatId, setChatId] = useState(chat?.id ?? uuidv4()) - if (chunk?.chat) { - if (chunk.chat?.id !== chatId) { - setChatId(chunk.chat.id) - } - if (chunk.chat.journeyId && chunk.chat?.journeyId !== journeyId) { - setJourneyId(chunk.chat.journeyId) - } - } - return newMessages - }) - }, - onEnd: ({ chat, ...rest }) => { - // Check if the current route is the chat - if (chat) { - const { id } = chat as Chat - if (id) { - setMessages((currentMessages) => { - const newMessages = [...currentMessages] - newMessages[messageIdx.current] = { ...newMessages[messageIdx.current], isLoading: false } - return newMessages - }) - setChatId(id) - // history.replaceState(null, '', `/chat/${id}`); - } - // router.refresh(); - mutate('/api/chats') - // mutateActiveUserPlan(); - } else { - console.log('NoChatOnEnd', { chat, ...rest }) - } - setIsLoading(false) - } - }) - const [chatId, setChatId] = useState(initialChat?.id) // false to disable for now - const { data: chat } = useSWR(!isStreaming && chatId && false ? `${apiUrl}/chats/${chatId}` : null, fetcher, { - revalidateOnFocus: false, - revalidateIfStale: false, - // refreshInterval: isStreaming ? 0 : 1000, - fallbackData: initialChat, - onSuccess(data, key, config) { - // TODO: re enable once polling is fixed for shared chats - // setMessages(data.messages!); - } - }) + const [sidekick, setSidekick] = useState( - sidekicks?.find((s) => s.id === chat?.messages?.[chat?.messages?.length - 1]?.chatflowid) + sidekicks?.find((s) => s.id === chat?.messages?.[chat?.messages?.length - 1]?.chatflowid || s.id === chat?.chatflowId) ) const chatbotConfig = React.useMemo(() => sidekick?.chatbotConfig, [sidekick]) const flowData = React.useMemo(() => sidekick?.flowData, [sidekick]) const [messages, setMessages] = useState>(chat?.messages ?? []) const [filters, setFilters] = useState(deepmerge({}, appSettings?.filters, journey?.filters, chat?.filters)) - // const setFilters = (filters: SetStateAction) => { - // setFiltersState((currentFilters) => { - // const newFilters = typeof filters === 'function' ? filters(currentFilters) : filters; - // return deepmerge({}, currentFilters, newFilters); - // }); - // }; const addMessage = useCallback( (message: Message) => { setMessages((currentMessages) => { @@ -480,38 +364,41 @@ export function AnswersProvider({ question: content, chatId, journeyId, - history: messages?.map(({ content, role }) => ({ - message: content, - type: role === 'assistant' ? 'apiMessage' : 'userMessage' - })), + // history: messages?.map(({ content, role }) => ({ + // message: content, + // type: role === 'assistant' ? 'apiMessage' : 'userMessage' + // })), uploads: files, audio, - chatType: 'ANSWERAI', - socketIOClientId: isChatFlowAvailableToStream ? socketIOClientId : undefined + chatType: 'ANSWERAI' } - const response = await predictionApi.sendMessageAndGetPrediction(sidekick?.id!, params) - const data = response.data - setMessages((prevMessages) => { - let allMessages = [...cloneDeep(prevMessages)] - if (allMessages[allMessages.length - 1].type === 'apiMessage') { - allMessages[allMessages.length - 1].id = data?.chatMessageId - } - return allMessages - }) - setChatId(data.chatId) - - if (content === '' && data.question) { - // the response contains the question even if it was in an audio format - // so if input is empty but the response contains the question, update the user message to show the question + if (isChatFlowAvailableToStream) { + // Use fetchEventSource for streaming + fetchResponseFromEventStream(sidekick?.id!, params) + } else { + const response = await predictionApi.sendMessageAndGetPrediction(sidekick?.id!, params) + const data = response.data setMessages((prevMessages) => { let allMessages = [...cloneDeep(prevMessages)] - if (allMessages[allMessages.length - 2].type === 'apiMessage') return allMessages - allMessages[allMessages.length - 2].content = data.question + if (allMessages[allMessages.length - 1].type === 'apiMessage') { + allMessages[allMessages.length - 1].id = data?.chatMessageId + } return allMessages }) - } - if (!isChatFlowAvailableToStream) { + setChatId(data.chatId) + + if (content === '' && data.question) { + // the response contains the question even if it was in an audio format + // so if input is empty but the response contains the question, update the user message to show the question + setMessages((prevMessages) => { + let allMessages = [...cloneDeep(prevMessages)] + if (allMessages[allMessages.length - 2].type === 'apiMessage') return allMessages + allMessages[allMessages.length - 2].content = data.question + return allMessages + }) + } + let text = '' if (data.text) text = data.text else if (data.json) text = '```json\n' + JSON.stringify(data.json, null, 2) @@ -535,35 +422,8 @@ export function AnswersProvider({ } ]) } - // if (!isChatFlowAvailableToStream || !socketIOClientId) { - - // if (data?.chatId) { - // setChatId(data.chatId) - // } - - // setMessages((prevMessages) => [ - // ...prevMessages, - // { - // role: 'assistant', - // content: data.text || JSON.stringify(data.json || data, null, 2), - // id: data?.chatMessageId, - // sourceDocuments: data?.sourceDocuments, - // usedTools: data?.usedTools, - // fileAnnotations: data?.fileAnnotations, - // agentReasoning: data?.agentReasoning, - // action: data?.action, - // isLoading: false, - // chat: data.chat - // } as Message - // ]) - - mutate('/api/chats') - setIsLoading(false) - // } else { - // // For streaming, the socket connection will handle message updates - // setMessages((prevMessages) => [...prevMessages, { role: 'assistant', content: '', isLoading: true } as Message]) - // } + setIsLoading(false) setInputValue('') } catch (err: any) { const errorMessage = err.response?.data?.message || 'Error sending message' @@ -572,83 +432,142 @@ export function AnswersProvider({ setMessages((prevMessages) => [...prevMessages, { role: 'assistant', content: errorMessage } as Message]) } }, - [ - addMessage, - chatId, - journeyId, - messages, - socketIOClientId, - isChatFlowAvailableToStream, - setInputValue, - setMessages, - setChatId, - setJourneyId, - mutate - ] + [addMessage, chatId, journeyId, messages, isChatFlowAvailableToStream, setInputValue, setMessages, setChatId, setJourneyId] ) - useEffect(() => { - let socket: any - if (sidekick?.id) { - const baseURL = sessionStorage.getItem('baseURL') || '' - socket = socketIOClient(baseURL, { - path: '/socket.io', - transports: ['websocket', 'polling'] - }) - - socket.on('connect', () => { - setSocketIOClientId(socket.id) - setIsChatFlowAvailableToStream(true) - }) - - socket.on('start', () => { - setMessages((prevMessages) => [...prevMessages, { role: 'assistant', content: '', isLoading: true } as Message]) - }) - - socket.on('token', updateLastMessage) - socket.on('sourceDocuments', updateLastMessageSourceDocuments) - socket.on('usedTools', updateLastMessageUsedTools) - socket.on('fileAnnotations', updateLastMessageFileAnnotations) - socket.on('agentReasoning', updateLastMessageAgentReasoning) - socket.on('action', updateLastMessageAction) - socket.on('nextAgent', updateLastMessageNextAgent) - socket.on('abort', abortMessage) - - socket.on('end', () => { - setMessages((prevMessages) => { - const allMessages = [...cloneDeep(prevMessages)] - const lastMessage = allMessages[allMessages.length - 1] - if (lastMessage?.role === 'user') return allMessages - lastMessage.isLoading = false - return allMessages - }) - setIsLoading(false) - }) - - socket.on('disconnect', () => { - setIsChatFlowAvailableToStream(false) - setSocketIOClientId('') - }) + // Add fetchResponseFromEventStream function + const fetchResponseFromEventStream = async (chatflowid: string, params: PredictionParams) => { + const baseURL = sessionStorage.getItem('baseURL') || '' + const token = sessionStorage.getItem('access_token') + // Set streaming flag + params.streaming = true - socket.on('error', (error: any) => { - setError(error?.message || 'Error during streaming') - setIsLoading(false) + try { + // Start with empty message that will be updated by streaming + setMessages((prevMessages) => [...prevMessages, { role: 'assistant', content: '', isLoading: true } as Message]) + await fetchEventSource(`${baseURL}/api/v1/internal-prediction/${chatflowid}`, { + openWhenHidden: true, + method: 'POST', + body: JSON.stringify(params), + headers: { + 'Content-Type': 'application/json', + 'x-request-from': 'internal', + ...(token ? { Authorization: `Bearer ${token}` } : {}) + }, + async onopen(response) { + if (response.ok && response.headers.get('content-type') === EventStreamContentType) { + setIsChatFlowAvailableToStream(true) + console.log('Connection established successfully') + // Connection established successfully + } else { + throw new Error('Failed to establish connection') + } + }, + async onmessage(ev) { + const payload = JSON.parse(ev.data) + console.log('payload', payload) + switch (payload.event) { + case 'start': + // Already created an empty message when starting the stream + break + case 'token': + updateLastMessage(payload.data) + break + case 'sourceDocuments': + updateLastMessageSourceDocuments(payload.data) + break + case 'usedTools': + updateLastMessageUsedTools(payload.data) + break + case 'fileAnnotations': + updateLastMessageFileAnnotations(payload.data) + break + case 'agentReasoning': + updateLastMessageAgentReasoning(payload.data) + break + case 'action': + updateLastMessageAction(payload.data) + break + case 'nextAgent': + updateLastMessageNextAgent(payload.data) + break + case 'metadata': + if (payload.data.chatId) { + setChatId(payload.data.chatId) + } + break + case 'error': + setError(payload.data) + // Update the current assistant message to show the error + setMessages((prevMessages) => { + const allMessages = [...cloneDeep(prevMessages)] + const lastMessage = allMessages[allMessages.length - 1] + if (lastMessage?.role === 'user') return allMessages + lastMessage.content = `Error: ${payload.data}` + lastMessage.isLoading = false + return allMessages + }) + break + case 'abort': + abortMessage() + break + case 'end': + setMessages((prevMessages) => { + const allMessages = [...cloneDeep(prevMessages)] + const lastMessage = allMessages[allMessages.length - 1] + if (lastMessage?.role === 'user') return allMessages + lastMessage.isLoading = false + return allMessages + }) + setIsLoading(false) + break + } + }, + async onclose() { + // Clean up on close + setIsLoading(false) + }, + async onerror(err) { + console.error('EventSource Error: ', err) + setError('Error during streaming') + setIsLoading(false) + throw err + } }) + } catch (error: any) { + console.error('Stream error:', error) + setError(error.message || 'Error during streaming') + setIsLoading(false) + } + } - return () => { - if (socket) { - socket.disconnect() - setSocketIOClientId('') + // Replace Socket.IO effect with event source availability check + useEffect(() => { + // Check if streaming is available for this chatflow + if (sidekick?.id) { + const checkStreamingAvailability = async () => { + try { + // You might need to implement this method in your API to check if streaming is available + const streamable = await predictionApi.checkIfChatflowIsValidForStreaming(sidekick.id) + setIsChatFlowAvailableToStream(streamable?.isStreaming || false) + } catch (error) { + console.error('Error checking streaming availability:', error) setIsChatFlowAvailableToStream(false) } } + + checkStreamingAvailability() + } + + return () => { + // Clean up if needed } }, [sidekick?.id]) React.useEffect(() => { setJourney(initialJourney) - setFilters(deepmerge({}, initialJourney?.filters, initialChat?.filters)) - }, [initialChat, initialJourney, appSettings]) + setFilters(deepmerge({}, initialJourney?.filters, chat?.filters)) + }, [chat, initialJourney, appSettings]) const [previews, setPreviews] = useState([]) const [isDragActive, setIsDragActive] = useState(false) @@ -810,3 +729,17 @@ export function AnswersProvider({ // @ts-ignore return {children} } + +// Add a fallback implementation for checkIfChatflowIsValidForStreaming if it doesn't exist in predictionApi +if (!predictionApi.checkIfChatflowIsValidForStreaming) { + predictionApi.checkIfChatflowIsValidForStreaming = async (chatflowId: string) => { + const baseURL = sessionStorage.getItem('baseURL') || '' + try { + const response = await axios.get(`${baseURL}/api/v1/chatflows-streaming/${chatflowId}`) + return response.data + } catch (error) { + console.error('Error checking if chatflow is valid for streaming:', error) + return { isStreaming: false } + } + } +} diff --git a/packages-answers/ui/src/AppLayout/AppLayout.Client.tsx b/packages-answers/ui/src/AppLayout/AppLayout.Client.tsx index 306a6f3805b..76892a43c40 100644 --- a/packages-answers/ui/src/AppLayout/AppLayout.Client.tsx +++ b/packages-answers/ui/src/AppLayout/AppLayout.Client.tsx @@ -15,7 +15,7 @@ import HelpChatDrawer from '../HelpChatDrawer' import { HelpChatProvider } from '../HelpChatContext' import { UserProvider } from '@auth0/nextjs-auth0/client' -import { Auth0Setup } from '@/AppProvider' +import { Auth0Setup } from '@/hooks/useAuth0Setup' import React from 'react' export default function AppLayout({ diff --git a/packages-answers/ui/src/AssistantInfoCard.tsx b/packages-answers/ui/src/AssistantInfoCard.tsx index 9cace7036de..40b138e340c 100644 --- a/packages-answers/ui/src/AssistantInfoCard.tsx +++ b/packages-answers/ui/src/AssistantInfoCard.tsx @@ -109,7 +109,7 @@ const AssistantInfoCard = ({ sidekick, onShare, onEdit, isFavorite: propIsFavori } if (!user) { const redirectUrl = `/sidekick-studio/${isAgentCanvas ? 'agentcanvas' : 'canvas'}` - const loginUrl = `/api/auth/login?returnTo=${redirectUrl}` + const loginUrl = `/api/auth/login?redirect_uri=${redirectUrl}` setNavigationState(state) window.location.href = loginUrl } else { diff --git a/packages-answers/ui/src/HelpChatDrawer.jsx b/packages-answers/ui/src/HelpChatDrawer.jsx index e1c334badf8..61b4542d7ae 100644 --- a/packages-answers/ui/src/HelpChatDrawer.jsx +++ b/packages-answers/ui/src/HelpChatDrawer.jsx @@ -182,7 +182,6 @@ const HelpChatDrawer = ({ apiHost, chatflowid }) => { anchor='right' open={helpChatOpen} variant='permanent' - keepMounted={true} sx={{ height: '100vh', width: helpChatOpen ? drawerWidth : 0, diff --git a/packages-answers/ui/src/SidekickSelect.tsx b/packages-answers/ui/src/SidekickSelect.tsx index 75741084b36..ff5b1990f6a 100644 --- a/packages-answers/ui/src/SidekickSelect.tsx +++ b/packages-answers/ui/src/SidekickSelect.tsx @@ -179,7 +179,7 @@ const WhiteIconButton = styled(IconButton)(({ theme }) => ({ })) const SidekickSelect: React.FC = ({ sidekicks: defaultSidekicks = [], noDialog = false }) => { - const { setSidekick, sidekick: selectedSidekick, setSidekick: setSelectedSidekick } = useAnswers() + const { chat, setSidekick, sidekick: selectedSidekick, setSidekick: setSelectedSidekick } = useAnswers() const router = useRouter() const { user } = useUser() const searchbarRef = useRef(null) @@ -261,16 +261,16 @@ const SidekickSelect: React.FC = ({ sidekicks: defaultSidek try { const res = await fetch(url) if (res.status === 401) { - // window.location.href = '/api/auth/login?returnTo=' + encodeURIComponent(window.location.href) - window.location.href = '/api/auth/login' + // window.location.href = '/api/auth/login?redirect_uri=' + encodeURIComponent(window.location.href) + window.location.href = '/api/auth/login?redirect_uri=' + encodeURIComponent(window.location.href) } else { return res.json() } } catch (error) { console.log('error', error) if (error instanceof Response && error.status === 401) { - window.location.href = '/api/auth/login' - // window.location.href = '/api/auth/login?returnTo=' + encodeURIComponent(window.location.href) + window.location.href = '/api/auth/login?redirect_uri=' + encodeURIComponent(window.location.href) + // window.location.href = '/api/auth/login?redirect_uri=' + encodeURIComponent(window.location.href) } return { sidekicks: [], categories: { top: [], more: [] } } } @@ -358,13 +358,17 @@ const SidekickSelect: React.FC = ({ sidekicks: defaultSidek }, [combinedSidekicks, favorites, allCategories]) const handleSidekickSelect = (sidekick: Sidekick) => { - setSelectedSidekick(sidekick) - setSidekick(sidekick) - setOpen(false) - setIsMarketplaceDialogOpen(false) - const sidekickHistory = JSON.parse(localStorage.getItem('sidekickHistory') || '{}') - sidekickHistory.lastUsed = sidekick - localStorage.setItem('sidekickHistory', JSON.stringify(sidekickHistory)) + if (!chat?.id) { + router.push(`/chat/${sidekick.id}`) + } else { + setSelectedSidekick(sidekick) + setSidekick(sidekick) + setOpen(false) + setIsMarketplaceDialogOpen(false) + const sidekickHistory = JSON.parse(localStorage.getItem('sidekickHistory') || '{}') + sidekickHistory.lastUsed = sidekick + localStorage.setItem('sidekickHistory', JSON.stringify(sidekickHistory)) + } } const handleMoreClick = (event: React.MouseEvent) => { @@ -408,7 +412,7 @@ const SidekickSelect: React.FC = ({ sidekicks: defaultSidek } if (!user) { const redirectUrl = `/sidekick-studio/${isAgentCanvas ? 'agentcanvas' : 'canvas'}` - const loginUrl = `/api/auth/login?returnTo=${redirectUrl}` + const loginUrl = `/api/auth/login?redirect_uri=${redirectUrl}` setNavigationState(state) window.location.href = loginUrl } else { diff --git a/packages-answers/ui/src/getCachedSession.ts b/packages-answers/ui/src/getCachedSession.ts index 521c0da5d03..edbd29e53e9 100644 --- a/packages-answers/ui/src/getCachedSession.ts +++ b/packages-answers/ui/src/getCachedSession.ts @@ -112,9 +112,19 @@ const getCachedSession = cache( // console.log('FlagsmithState', flagsmithState); session.flagsmithState = flagsmithState } - if (session?.user?.chatflowDomain) { + + // Check for CHATFLOW_DOMAIN_OVERRIDE to override the chatflowDomain + if (process.env.CHATFLOW_DOMAIN_OVERRIDE) { + console.log('CHATFLOW_DOMAIN_OVERRIDE', process.env.CHATFLOW_DOMAIN_OVERRIDE) + // Override chatflowDomain with the environment variable + if (session?.user) { + session.user.chatflowDomain = process.env.CHATFLOW_DOMAIN_OVERRIDE + } + } else if (session?.user?.chatflowDomain) { + // Apply existing transformation if no override session.user.chatflowDomain = session.user.chatflowDomain?.replace('8080', '4000') } + return session as { user: User; flagsmithState: any; accessToken: string } } ) diff --git a/packages-answers/utils/package.json b/packages-answers/utils/package.json index 048e8fb40d2..c79d105a5fa 100644 --- a/packages-answers/utils/package.json +++ b/packages-answers/utils/package.json @@ -1,99 +1,100 @@ { - "name": "utils", - "version": "0.0.1", - "description": "Content Parser for Open AI", - "private": true, - "type": "module", - "files": [ - "dist/**" - ], - "scripts": { - "not-build": "tsc", - "clean": "rm -rf .turbo && rm -rf node_modules && rm -rf dist", - "not-dev": "tsc -w", - "lint": "TIMING=1 eslint \"src/**/*.ts*\"", - "test": "jest", - "airtable": "node -r dotenv/config airtable.js", - "jira": "node -r dotenv/config src/jira.js", - "slack": "node -r dotenv/config src/slack.js", - "blog": "node -r dotenv/config createblog.js", - "fgenerate": "node -r dotenv/config finetune-generate.js", - "egenerate": "node -r dotenv/config embeddings-generate.js", - "upload": "node -r dotenv/config fileupload.js", - "finetune": "node -r dotenv/config finetune.js", - "pinecone": "node -r dotenv/config pinecone.js", - "query": "node -r dotenv/config query.js" - }, - "author": "", - "license": "ISC", - "dependencies": { - "@auth0/nextjs-auth0": "^3.5.0", - "@algolia/client-search": "^4.19.1", - "@aws-sdk/client-s3": "^3.374.0", - "@contentful/app-sdk": "^4.22.1", - "@contentful/rich-text-from-markdown": "^15.16.3", - "@dqbd/tiktoken": "^1.0.6", - "@pinecone-database/pinecone": "^0.0.5", - "@slack/web-api": "^6.8.1", - "airtable": "^0.11.6", - "algoliasearch": "^4.19.1", - "axios": "^1.4.0", - "cheerio": "^1.0.0-rc.12", - "contentful-management": "^10.39.1", - "csv": "^6.3.1", - "csv-parser": "^3.0.0", - "csv-stringify": "^6.4.0", - "dataloader": "^2.2.2", - "db": "workspace:*", - "dotenv": "^16.3.1", - "eventsource-parser": "^1.0.0", - "socket.io-client": "^4.7.5", - "ws": "^8.16.0", - "bufferutil": "^4.0.8", - "utf-8-validate": "^6.0.3", - "gpt-3-encoder": "^1.1.4", - "gpt-tokens": "^1.3.3", - "gpt3-tokenizer": "^1.1.5", - "handlebars": "^4.7.7", - "import-fresh": "^3.3.0", - "inngest": "^1.8.0", - "ioredis": "^5.3.2", - "jira.js": "^2.17.0", - "js-yaml": "^4.1.0", - "jsdom": "^22.1.0", - "langchain": "^0.0.116", - "mammoth": "^1.6.0", - "natural": "^6.2.0", - "next-auth": "^4.22.3", - "node-fetch": "^3.3.1", - "node-html-markdown": "^1.3.0", - "openai": "^3.2.1", - "openapi-typescript": "^6.3.7", - "pdfjs-dist": "^3.8.162", - "puppeteer": "^19.11.1", - "react": "^18.2.0", - "react-dom": "^18.2.0", - "readline": "^1.3.0", - "request": "^2.88.2", - "sitemapper": "^3.2.6", - "stripe": "^12.17.0", - "swagger2openapi": "^7.0.8", - "uuid": "^9.0.0", - "yaml": "^2.2.1" - }, - "devDependencies": { - "@types/jest": "^29.5.0", - "@types/jsdom": "^21.1.1", - "@types/node": "^18.15.11", - "@types/react-dom": "^18.2.7", - "@types/swagger2openapi": "^7.0.0", - "@types/uuid": "^9.0.1", - "eslint": "^7.32.0", - "eslint-config-custom": "workspace:*", - "jest": "^29.5.0", - "openapi-types": "^12.1.3", - "tsconfig": "workspace:*", - "types": "workspace:*", - "typescript": "^4.8.4" - } + "name": "utils", + "version": "0.0.1", + "description": "Content Parser for Open AI", + "private": true, + "type": "module", + "files": [ + "dist/**" + ], + "scripts": { + "not-build": "tsc", + "clean": "rm -rf .turbo && rm -rf node_modules && rm -rf dist", + "not-dev": "tsc -w", + "lint": "TIMING=1 eslint \"src/**/*.ts*\"", + "test": "jest", + "airtable": "node -r dotenv/config airtable.js", + "jira": "node -r dotenv/config src/jira.js", + "slack": "node -r dotenv/config src/slack.js", + "blog": "node -r dotenv/config createblog.js", + "fgenerate": "node -r dotenv/config finetune-generate.js", + "egenerate": "node -r dotenv/config embeddings-generate.js", + "upload": "node -r dotenv/config fileupload.js", + "finetune": "node -r dotenv/config finetune.js", + "pinecone": "node -r dotenv/config pinecone.js", + "query": "node -r dotenv/config query.js" + }, + "author": "", + "license": "ISC", + "dependencies": { + "@auth0/nextjs-auth0": "3.5.0", + "@auth0/auth0-react": "2.3.0", + "@algolia/client-search": "^4.19.1", + "@aws-sdk/client-s3": "^3.374.0", + "@contentful/app-sdk": "^4.22.1", + "@contentful/rich-text-from-markdown": "^15.16.3", + "@dqbd/tiktoken": "^1.0.6", + "@pinecone-database/pinecone": "^0.0.5", + "@slack/web-api": "^6.8.1", + "airtable": "^0.11.6", + "algoliasearch": "^4.19.1", + "axios": "^1.4.0", + "cheerio": "^1.0.0-rc.12", + "contentful-management": "^10.39.1", + "csv": "^6.3.1", + "csv-parser": "^3.0.0", + "csv-stringify": "^6.4.0", + "dataloader": "^2.2.2", + "db": "workspace:*", + "dotenv": "^16.3.1", + "eventsource-parser": "^1.0.0", + "socket.io-client": "^4.7.5", + "ws": "^8.16.0", + "bufferutil": "^4.0.8", + "utf-8-validate": "^6.0.3", + "gpt-3-encoder": "^1.1.4", + "gpt-tokens": "^1.3.3", + "gpt3-tokenizer": "^1.1.5", + "handlebars": "^4.7.7", + "import-fresh": "^3.3.0", + "inngest": "^1.8.0", + "ioredis": "^5.3.2", + "jira.js": "^2.17.0", + "js-yaml": "^4.1.0", + "jsdom": "^22.1.0", + "langchain": "^0.0.116", + "mammoth": "^1.6.0", + "natural": "^6.2.0", + "next-auth": "^4.22.3", + "node-fetch": "^3.3.1", + "node-html-markdown": "^1.3.0", + "openai": "^3.2.1", + "openapi-typescript": "^6.3.7", + "pdfjs-dist": "^3.8.162", + "puppeteer": "^19.11.1", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "readline": "^1.3.0", + "request": "^2.88.2", + "sitemapper": "^3.2.6", + "stripe": "^12.17.0", + "swagger2openapi": "^7.0.8", + "uuid": "^9.0.0", + "yaml": "^2.2.1" + }, + "devDependencies": { + "@types/jest": "^29.5.0", + "@types/jsdom": "^21.1.1", + "@types/node": "^18.15.11", + "@types/react-dom": "^18.2.7", + "@types/swagger2openapi": "^7.0.0", + "@types/uuid": "^9.0.1", + "eslint": "^7.32.0", + "eslint-config-custom": "workspace:*", + "jest": "^29.5.0", + "openapi-types": "^12.1.3", + "tsconfig": "workspace:*", + "types": "workspace:*", + "typescript": "^4.8.4" + } } diff --git a/packages/api-documentation/README-ZH.md b/packages/api-documentation/README-ZH.md new file mode 100644 index 00000000000..c8447f81ea2 --- /dev/null +++ b/packages/api-documentation/README-ZH.md @@ -0,0 +1,33 @@ + + +# Flowise API 文档 + +[English](./README.md) | 中文 + +这是 Flowise 公共 API 的列表，允许用户以编程方式执行与 GUI 中相同的许多任务。 + +独立运行： + +1. 启动 Flowise 服务器： + ```sh + cd Flowise + pnpm start + ``` +2. 启动 API 文档服务器： + ```sh + cd packages/api-documentation + pnpm start + ``` + +开发模式下运行： + +```sh +cd Flowise +pnpm dev +``` + +文档将在此地址提供：http://localhost:6655/api-docs + +## 许可证 + +此存储库中的源代码根据 Apache 2.0 许可证 提供 diff --git a/packages/api-documentation/README.md b/packages/api-documentation/README.md new file mode 100644 index 00000000000..1788561560a --- /dev/null +++ b/packages/api-documentation/README.md @@ -0,0 +1,33 @@ + + +# Flowise API Docs + +English | [中文](./README-ZH.md) + +A list of Flowise public APIs, allowing users to programmatically execute many of the same tasks as the same in the GUI. + +To run this standalone: + +1. Spin up Flowise server: + ```sh + cd Flowise + pnpm start + ``` +2. Start API Docs server: + ```sh + cd packages/api-documentation + pnpm start + ``` + +To run in dev mode: + +```sh +cd Flowise +pnpm dev +``` + +Docs will be served on: `http://localhost:6655/api-docs` + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/api-documentation/nodemon.json b/packages/api-documentation/nodemon.json new file mode 100644 index 00000000000..5bfdda3793c --- /dev/null +++ b/packages/api-documentation/nodemon.json @@ -0,0 +1,6 @@ +{ + "ignore": ["**/*.spec.ts", ".git", "node_modules"], + "watch": ["src"], + "exec": "ts-node ./src/index.ts", + "ext": "ts, yml" +} diff --git a/packages/api-documentation/package.json b/packages/api-documentation/package.json new file mode 100644 index 00000000000..891cda8e0a6 --- /dev/null +++ b/packages/api-documentation/package.json @@ -0,0 +1,21 @@ +{ + "name": "flowise-api", + "version": "1.0.2", + "description": "Flowise API documentation server", + "scripts": { + "build": "tsc", + "start": "node dist/index.js", + "dev": "concurrently \"tsc-watch --noClear -p ./tsconfig.json\" \"nodemon\"", + "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0" + }, + "license": "SEE LICENSE IN LICENSE.md", + "dependencies": { + "swagger-jsdoc": "^6.2.8", + "swagger-ui-express": "^5.0.0" + }, + "devDependencies": { + "@types/swagger-jsdoc": "^6.0.1", + "@types/swagger-ui-express": "^4.1.3", + "tsc-watch": "^6.0.4" + } +} diff --git a/packages/api-documentation/src/configs/swagger.config.ts b/packages/api-documentation/src/configs/swagger.config.ts new file mode 100644 index 00000000000..1e645f1887c --- /dev/null +++ b/packages/api-documentation/src/configs/swagger.config.ts @@ -0,0 +1,44 @@ +import swaggerJSDoc from 'swagger-jsdoc' + +const swaggerUiOptions = { + failOnErrors: true, // Throw when parsing errors + baseDir: __dirname, // Base directory which we use to locate your JSDOC files + exposeApiDocs: true, + definition: { + openapi: '3.0.3', + info: { + title: 'Flowise APIs', + summary: 'Interactive swagger-ui auto-generated API docs from express, based on a swagger.yml file', + version: '1.0.0', + description: + 'This module serves auto-generated swagger-ui generated API docs from Flowise express backend, based on a swagger.yml file. Swagger is available on: http://localhost:6655/api-docs', + license: { + name: 'Apache 2.0', + url: 'https://github.com/FlowiseAI/Flowise/blob/main/LICENSE.md' + }, + contact: { + name: 'FlowiseAI', + email: 'support@flowiseai.com' + } + }, + servers: [ + { + url: 'http://localhost:4000/api/v1', + description: 'Flowise Server' + } + ] + }, + apis: [`${process.cwd()}/dist/routes/**/*.js`, `${process.cwd()}/src/yml/swagger.yml`] +} + +// https://github.com/swagger-api/swagger-ui/blob/master/docs/usage/configuration.md +const swaggerExplorerOptions = { + swaggerOptions: { + validatorUrl: '127.0.0.1' + }, + explorer: true +} + +const swaggerDocs = swaggerJSDoc(swaggerUiOptions) + +export { swaggerDocs, swaggerExplorerOptions } diff --git a/packages/api-documentation/src/index.ts b/packages/api-documentation/src/index.ts new file mode 100644 index 00000000000..9859ffdf920 --- /dev/null +++ b/packages/api-documentation/src/index.ts @@ -0,0 +1,17 @@ +import express, { Request, Response } from 'express' +import swaggerUi from 'swagger-ui-express' +import { swaggerDocs, swaggerExplorerOptions } from './configs/swagger.config' + +const app = express() +const port = 6655 + +app.get('/', (req: Request, res: Response) => { + res.redirect('/api-docs') +}) + +app.use('/api-docs', swaggerUi.serve, swaggerUi.setup(swaggerDocs, swaggerExplorerOptions)) + +app.listen(port, () => { + // eslint-disable-next-line no-console + console.log(`Flowise API documentation server listening on port ${port}`) +}) diff --git a/packages/api-documentation/src/yml/swagger.yml b/packages/api-documentation/src/yml/swagger.yml new file mode 100644 index 00000000000..21b8f1dd0f1 --- /dev/null +++ b/packages/api-documentation/src/yml/swagger.yml @@ -0,0 +1,2527 @@ +tags: + - name: assistants + - name: attachments + - name: chatmessage + - name: chatflows + - name: document-store + - name: feedback + - name: leads + - name: ping + - name: prediction + - name: tools + - name: upsert-history + - name: variables + - name: vector + +paths: + /chatmessage/{id}: + get: + tags: + - chatmessage + security: + - bearerAuth: [] + operationId: getAllChatMessages + summary: List all chat messages + description: Retrieve all chat messages for a specific chatflow. + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + - in: query + name: chatType + schema: + type: string + enum: [INTERNAL, EXTERNAL] + description: Filter by chat type + - in: query + name: order + schema: + type: string + enum: [ASC, DESC] + description: Sort order + - in: query + name: chatId + schema: + type: string + description: Filter by chat ID + - in: query + name: memoryType + schema: + type: string + example: Buffer Memory + description: Filter by memory type + - in: query + name: sessionId + schema: + type: string + description: Filter by session ID + - in: query + name: startDate + schema: + type: string + example: 2025-01-01T11:28:36.000Z + format: date-time + description: Filter by start date + - in: query + name: endDate + schema: + type: string + example: 2025-01-13T11:28:36.000Z + format: date-time + description: Filter by end date + - in: query + name: feedback + schema: + type: boolean + description: Filter by feedback + - in: query + name: feedbackType + schema: + type: string + enum: [THUMBS_UP, THUMBS_DOWN] + description: Filter by feedback type. Only applicable if feedback is true + responses: + '200': + description: A list of chat messages + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/ChatMessage' + '500': + description: Internal error + + delete: + tags: + - chatmessage + security: + - bearerAuth: [] + operationId: removeAllChatMessages + summary: Delete all chat messages + description: Delete all chat messages for a specific chatflow. + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + - in: query + name: chatId + schema: + type: string + description: Filter by chat ID + - in: query + name: memoryType + schema: + type: string + example: Buffer Memory + description: Filter by memory type + - in: query + name: sessionId + schema: + type: string + description: Filter by session ID + - in: query + name: chatType + schema: + type: string + enum: [INTERNAL, EXTERNAL] + description: Filter by chat type + - in: query + name: startDate + schema: + type: string + example: 2025-01-01T11:28:36.000Z + description: Filter by start date + - in: query + name: endDate + schema: + type: string + example: 2025-01-13T11:28:36.000Z + description: Filter by end date + - in: query + name: feedbackType + schema: + type: string + enum: [THUMBS_UP, THUMBS_DOWN] + description: Filter by feedback type + - in: query + name: hardDelete + schema: + type: boolean + description: If hardDelete is true, messages will be deleted from the third party service as well + responses: + '200': + description: Chat messages deleted successfully + '400': + description: Invalid parameters + '404': + description: Chat messages not found + '500': + description: Internal error + /assistants: + post: + tags: + - assistants + security: + - bearerAuth: [] + operationId: createAssistant + summary: Create a new assistant + description: Create a new assistant with the provided details + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Assistant' + required: true + responses: + '200': + description: Assistant created successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Assistant' + '400': + description: Invalid input provided + '422': + description: Validation exception + get: + tags: + - assistants + security: + - bearerAuth: [] + summary: List all assistants + description: Retrieve a list of all assistants + operationId: listAssistants + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Assistant' + '500': + description: Internal error + /assistants/{id}: + get: + tags: + - assistants + security: + - bearerAuth: [] + summary: Get assistant by ID + description: Retrieve a specific assistant by ID + operationId: getAssistantById + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Assistant ID + responses: + '200': + description: Successful operation + content: + application/json: + schema: + $ref: '#/components/schemas/Assistant' + '400': + description: The specified ID is invalid + '404': + description: Assistant not found + '500': + description: Internal error + put: + tags: + - assistants + security: + - bearerAuth: [] + summary: Update assistant details + description: Update the details of an existing assistant + operationId: updateAssistant + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Assistant ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Assistant' + responses: + '200': + description: Assistant updated successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Assistant' + '400': + description: The specified ID is invalid or body is missing + '404': + description: Assistant not found + '500': + description: Internal error + delete: + tags: + - assistants + security: + - bearerAuth: [] + summary: Delete an assistant + description: Delete an assistant by ID + operationId: deleteAssistant + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Assistant ID + responses: + '200': + description: Assistant deleted successfully + '400': + description: The specified ID is invalid + '404': + description: Assistant not found + '500': + description: Internal error + + /attachments/{chatflowId}/{chatId}: + post: + tags: + - attachments + security: + - bearerAuth: [] + operationId: createAttachment + summary: Create attachments array + description: Return contents of the files in plain string format + parameters: + - in: path + name: chatflowId + required: true + schema: + type: string + description: Chatflow ID + - in: path + name: chatId + required: true + schema: + type: string + description: Chat ID + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + files: + type: array + items: + type: string + format: binary + description: Files to be uploaded + base64: + type: boolean + default: false + description: Return contents of the files in base64 format + required: + - files + required: true + responses: + '200': + description: Attachments created successfully + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/CreateAttachmentResponse' + '400': + description: Invalid input provided + '404': + description: Chatflow or ChatId not found + '422': + description: Validation error + '500': + description: Internal server error + + /chatflows: + post: + tags: + - chatflows + security: + - bearerAuth: [] + operationId: createChatflow + summary: Create a new chatflow + description: Create a new chatflow with the provided details + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + required: true + responses: + '200': + description: Chatflow created successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + '400': + description: Invalid input provided + '422': + description: Validation exception + get: + tags: + - chatflows + security: + - bearerAuth: [] + summary: List all chatflows + description: Retrieve a list of all chatflows + operationId: listChatflows + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Chatflow' + '500': + description: Internal error + /chatflows/{id}: + get: + tags: + - chatflows + security: + - bearerAuth: [] + summary: Get chatflow by ID + description: Retrieve a specific chatflow by ID + operationId: getChatflowById + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + responses: + '200': + description: Successful operation + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + '400': + description: The specified ID is invalid + '404': + description: Chatflow not found + '500': + description: Internal error + put: + tags: + - chatflows + security: + - bearerAuth: [] + summary: Update chatflow details + description: Update the details of an existing chatflow + operationId: updateChatflow + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + responses: + '200': + description: Chatflow updated successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + '400': + description: The specified ID is invalid or body is missing + '404': + description: Chatflow not found + '500': + description: Internal error + delete: + tags: + - chatflows + security: + - bearerAuth: [] + summary: Delete a chatflow + description: Delete a chatflow by ID + operationId: deleteChatflow + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + responses: + '200': + description: Chatflow deleted successfully + '400': + description: The specified ID is invalid + '404': + description: Chatflow not found + '500': + description: Internal error + /chatflows/apikey/{apikey}: + get: + tags: + - chatflows + security: + - bearerAuth: [] + summary: Get chatflow by API key + description: Retrieve a chatflow using an API key + operationId: getChatflowByApiKey + parameters: + - in: path + name: apikey + required: true + schema: + type: string + description: API key associated with the chatflow + responses: + '200': + description: Successful operation + content: + application/json: + schema: + $ref: '#/components/schemas/Chatflow' + '400': + description: The specified API key is invalid + '404': + description: Chatflow not found + '500': + description: Internal error + + /document-store/store: + post: + tags: + - document-store + security: + - bearerAuth: [] + summary: Create a new document store + description: Creates a new document store with the provided details + operationId: createDocumentStore + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStore' + required: true + responses: + '200': + description: Successfully created document store + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStore' + '400': + description: Invalid request body + '500': + description: Internal server error + get: + tags: + - document-store + security: + - bearerAuth: [] + summary: List all document stores + description: Retrieves a list of all document stores + operationId: getAllDocumentStores + responses: + '200': + description: A list of document stores + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/DocumentStore' + '500': + description: Internal server error + + /document-store/store/{id}: + get: + tags: + - document-store + security: + - bearerAuth: [] + summary: Get a specific document store + description: Retrieves details of a specific document store by its ID + operationId: getDocumentStoreById + parameters: + - in: path + name: id + required: true + schema: + type: string + format: uuid + description: Document Store ID + responses: + '200': + description: Successfully retrieved document store + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStore' + '404': + description: Document store not found + '500': + description: Internal server error + put: + tags: + - document-store + security: + - bearerAuth: [] + summary: Update a specific document store + description: Updates the details of a specific document store by its ID + operationId: updateDocumentStore + parameters: + - in: path + name: id + required: true + schema: + type: string + format: uuid + description: Document Store ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStore' + required: true + responses: + '200': + description: Successfully updated document store + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStore' + '404': + description: Document store not found + '500': + description: Internal server error + delete: + tags: + - document-store + security: + - bearerAuth: [] + summary: Delete a specific document store + description: Deletes a document store by its ID + operationId: deleteDocumentStore + parameters: + - in: path + name: id + required: true + schema: + type: string + format: uuid + description: Document Store ID + responses: + '200': + description: Successfully deleted document store + '404': + description: Document store not found + '500': + description: Internal server error + + /document-store/upsert/{id}: + post: + tags: + - document-store + security: + - bearerAuth: [] + summary: Upsert document to document store + description: Upsert document to document store + operationId: upsertDocument + parameters: + - in: path + name: id + required: true + schema: + type: string + format: uuid + description: Document Store ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStoreLoaderForUpsert' + multipart/form-data: + schema: + type: object + properties: + files: + type: array + items: + type: string + format: binary + description: Files to be uploaded + docId: + type: string + nullable: true + example: '603a7b51-ae7c-4b0a-8865-e454ed2f6766' + description: Document ID to use existing configuration + loader: + type: string + nullable: true + example: '{"name":"plainText","config":{"text":"why the sky is blue"}}' + description: Loader configurations + splitter: + type: string + nullable: true + example: '{"name":"recursiveCharacterTextSplitter","config":{"chunkSize":2000}}' + description: Splitter configurations + embedding: + type: string + nullable: true + example: '{"name":"openAIEmbeddings","config":{"modelName":"text-embedding-ada-002"}}' + description: Embedding configurations + vectorStore: + type: string + nullable: true + example: '{"name":"faiss"}' + description: Vector Store configurations + recordManager: + type: string + nullable: true + example: '{"name":"postgresRecordManager"}' + description: Record Manager configurations + metadata: + type: object + nullable: true + description: Metadata associated with the document + example: { 'foo': 'bar' } + replaceExisting: + type: boolean + nullable: true + description: Whether to replace existing document loader with the new upserted chunks. However this does not delete the existing embeddings in the vector store + createNewDocStore: + type: boolean + nullable: true + description: Whether to create a new document store + docStore: + type: object + nullable: true + description: Only when createNewDocStore is true, pass in the new document store configuration + properties: + name: + type: string + example: plainText + description: Name of the new document store to be created + description: + type: string + example: plainText + description: Description of the new document store to be created + required: + - files + required: true + responses: + '200': + description: Successfully execute upsert operation + content: + application/json: + schema: + $ref: '#/components/schemas/VectorUpsertResponse' + + '400': + description: Invalid request body + '500': + description: Internal server error + + /document-store/refresh/{id}: + post: + tags: + - document-store + security: + - bearerAuth: [] + summary: Re-process and upsert all documents in document store + description: Re-process and upsert all existing documents in document store + operationId: refreshDocument + parameters: + - in: path + name: id + required: true + schema: + type: string + format: uuid + description: Document Store ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStoreLoaderForRefresh' + required: true + responses: + '200': + description: Successfully execute refresh operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/VectorUpsertResponse' + + '400': + description: Invalid request body + '500': + description: Internal server error + + /document-store/vectorstore/query: + post: + tags: + - document-store + security: + - bearerAuth: [] + summary: Retrieval query + description: Retrieval query for the upserted chunks + operationId: queryVectorStore + requestBody: + content: + application/json: + schema: + type: object + required: + - storeId + - query + properties: + storeId: + type: string + description: Document Store ID + example: '603a7b51-ae7c-4b0a-8865-e454ed2f6766' + query: + type: string + description: Query to search for + example: 'What is the capital of France?' + required: true + responses: + '200': + description: Successfully executed query on vector store + content: + application/json: + schema: + type: object + properties: + timeTaken: + type: number + description: Time taken to execute the query (in milliseconds) + docs: + type: array + items: + $ref: '#/components/schemas/Document' + '400': + description: Invalid request body + '500': + description: Internal server error + + /document-store/loader/{storeId}/{loaderId}: + delete: + tags: + - document-store + security: + - bearerAuth: [] + summary: Delete specific document loader and associated chunks from document store + description: Delete specific document loader and associated chunks from document store. This does not delete data from vector store. + operationId: deleteLoaderFromDocumentStore + parameters: + - in: path + name: storeId + required: true + schema: + type: string + description: Document Store ID + - in: path + name: loaderId + required: true + schema: + type: string + description: Document Loader ID + responses: + '200': + description: Successfully deleted loader from document store + '400': + description: Invalid ID provided + '404': + description: Document Store not found + '500': + description: Internal server error + + /document-store/vectorstore/{id}: + delete: + tags: + - document-store + security: + - bearerAuth: [] + summary: Delete data from vector store + description: Only data that were upserted with Record Manager will be deleted from vector store + operationId: deleteVectorStoreFromStore + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Document Store ID + responses: + '200': + description: Successfully deleted data from vector store + '400': + description: Invalid ID provided + '404': + description: Document Store not found + '500': + description: Internal server error + + /document-store/chunks/{storeId}/{loaderId}/{pageNo}: + get: + tags: + - document-store + security: + - bearerAuth: [] + summary: Get chunks from a specific document loader + description: Get chunks from a specific document loader within a document store + operationId: getDocumentStoreFileChunks + parameters: + - in: path + name: storeId + required: true + schema: + type: string + format: uuid + description: Document Store ID + - in: path + name: loaderId + required: true + schema: + type: string + format: uuid + description: Document loader ID + - in: path + name: pageNo + required: true + schema: + type: string + description: Pagination number + responses: + '200': + description: Successfully retrieved chunks from document loader + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStoreFileChunkPagedResponse' + '404': + description: Document store not found + '500': + description: Internal server error + + /document-store/chunks/{storeId}/{loaderId}/{chunkId}: + put: + tags: + - document-store + security: + - bearerAuth: [] + summary: Update a specific chunk + description: Updates a specific chunk from a document loader + operationId: editDocumentStoreFileChunk + parameters: + - in: path + name: storeId + required: true + schema: + type: string + description: Document Store ID + - in: path + name: loaderId + required: true + schema: + type: string + description: Document Loader ID + - in: path + name: chunkId + required: true + schema: + type: string + description: Document Chunk ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Document' + required: true + responses: + '200': + description: Successfully updated chunk + content: + application/json: + schema: + $ref: '#/components/schemas/DocumentStoreFileChunkPagedResponse' + '404': + description: Document store not found + '500': + description: Internal server error + + delete: + tags: + - document-store + security: + - bearerAuth: [] + summary: Delete a specific chunk from a document loader + description: Delete a specific chunk from a document loader + operationId: deleteDocumentStoreFileChunk + parameters: + - in: path + name: storeId + required: true + schema: + type: string + description: Document Store ID + - in: path + name: loaderId + required: true + schema: + type: string + description: Document Loader ID + - in: path + name: chunkId + required: true + schema: + type: string + description: Document Chunk ID + responses: + '200': + description: Successfully deleted chunk + '400': + description: Invalid ID provided + '404': + description: Document Store not found + '500': + description: Internal server error + + /feedback: + post: + tags: + - feedback + security: + - bearerAuth: [] + operationId: createChatMessageFeedbackForChatflow + summary: Create new chat message feedback + description: Create new feedback for a specific chat flow. + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ChatMessageFeedback' + required: true + responses: + '200': + description: Feedback successfully created + content: + application/json: + schema: + $ref: '#/components/schemas/ChatMessageFeedback' + '400': + description: Invalid input provided + '500': + description: Internal server error + /feedback/{id}: + get: + tags: + - feedback + security: + - bearerAuth: [] + summary: List all chat message feedbacks for a chatflow + description: Retrieve all feedbacks for a chatflow + operationId: getAllChatMessageFeedback + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + - in: query + name: chatId + schema: + type: string + description: Chat ID to filter feedbacks (optional) + - in: query + name: sortOrder + schema: + type: string + enum: [asc, desc] + default: asc + description: Sort order of feedbacks (optional) + - in: query + name: startDate + schema: + type: string + format: date-time + description: Filter feedbacks starting from this date (optional) + - in: query + name: endDate + schema: + type: string + format: date-time + description: Filter feedbacks up to this date (optional) + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/ChatMessageFeedback' + '500': + description: Internal server error + put: + tags: + - feedback + security: + - bearerAuth: [] + summary: Update chat message feedback + description: Update a specific feedback + operationId: updateChatMessageFeedbackForChatflow + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chat Message Feedback ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ChatMessageFeedback' + responses: + '200': + description: Feedback successfully updated + content: + application/json: + schema: + $ref: '#/components/schemas/ChatMessageFeedback' + '400': + description: Invalid input provided + '404': + description: Feedback with the specified ID was not found + '500': + description: Internal server error + + /leads: + post: + tags: + - leads + security: + - bearerAuth: [] + operationId: createLead + summary: Create a new lead in a chatflow + description: Create a new lead associated with a specific chatflow + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Lead' + required: true + responses: + '200': + description: Lead created successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Lead' + '400': + description: Invalid request body + '422': + description: Validation error + '500': + description: Internal server error + + /leads/{id}: + get: + tags: + - leads + security: + - bearerAuth: [] + summary: Get all leads for a specific chatflow + description: Retrieve all leads associated with a specific chatflow + operationId: getAllLeadsForChatflow + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Lead' + '400': + description: Invalid ID provided + '404': + description: Leads not found + '500': + description: Internal server error + + /ping: + get: + tags: + - ping + summary: Ping the server + description: Ping the server to check if it is running + operationId: pingServer + responses: + '200': + description: Server is running + content: + text/plain: + schema: + type: string + example: pong + '500': + description: Internal server error + + /prediction/{id}: + post: + tags: + - prediction + security: + - bearerAuth: [] + operationId: createPrediction + summary: Create a new prediction + description: Create a new prediction + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Prediction' + multipart/form-data: + schema: + type: object + properties: + question: + type: string + description: Question to ask during the prediction process + files: + type: array + items: + type: string + format: binary + description: Files to be uploaded + modelName: + type: string + nullable: true + example: '' + description: Other override configurations + required: + - question + required: true + responses: + '200': + description: Prediction created successfully + content: + application/json: + schema: + type: object + properties: + text: + type: string + description: The result of the prediction + json: + type: object + description: The result of the prediction in JSON format if available + question: + type: string + description: The question asked during the prediction process + chatId: + type: string + description: The chat ID associated with the prediction + chatMessageId: + type: string + description: The chat message ID associated with the prediction + sessionId: + type: string + description: The session ID associated with the prediction + memoryType: + type: string + description: The memory type associated with the prediction + sourceDocuments: + type: array + items: + $ref: '#/components/schemas/Document' + usedTools: + type: array + items: + $ref: '#/components/schemas/UsedTool' + fileAnnotations: + type: array + items: + $ref: '#/components/schemas/FileAnnotation' + '400': + description: Invalid input provided + '404': + description: Chatflow not found + '422': + description: Validation error + '500': + description: Internal server error + /tools: + post: + tags: + - tools + security: + - bearerAuth: [] + operationId: createTool + summary: Create a new tool + description: Create a new tool + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Tool' + required: true + responses: + '200': + description: Tool created successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Tool' + '400': + description: Invalid request body + '422': + description: Validation error + '500': + description: Internal server error + get: + tags: + - tools + security: + - bearerAuth: [] + summary: List all tools + description: Retrieve a list of all tools + operationId: getAllTools + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Tool' + '500': + description: Internal server error + + /tools/{id}: + get: + tags: + - tools + security: + - bearerAuth: [] + summary: Get a tool by ID + description: Retrieve a specific tool by ID + operationId: getToolById + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Tool ID + responses: + '200': + description: Successful operation + content: + application/json: + schema: + $ref: '#/components/schemas/Tool' + '400': + description: Invalid ID provided + '404': + description: Tool not found + '500': + description: Internal server error + put: + tags: + - tools + security: + - bearerAuth: [] + summary: Update a tool by ID + description: Update a specific tool by ID + operationId: updateTool + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Tool ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Tool' + required: true + responses: + '200': + description: Tool updated successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Tool' + '400': + description: Invalid ID or request body provided + '404': + description: Tool not found + '500': + description: Internal server error + delete: + tags: + - tools + security: + - bearerAuth: [] + summary: Delete a tool by ID + description: Delete a specific tool by ID + operationId: deleteTool + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Tool ID + responses: + '200': + description: Tool deleted successfully + '400': + description: Invalid ID provided + '404': + description: Tool not found + '500': + description: Internal server error + + /upsert-history/{id}: + get: + tags: + - upsert-history + security: + - bearerAuth: [] + summary: Get all upsert history records + description: Retrieve all upsert history records with optional filters + operationId: getAllUpsertHistory + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID to filter records by + - in: query + name: order + required: false + schema: + type: string + enum: [ASC, DESC] + default: ASC + description: Sort order of the results (ascending or descending) + - in: query + name: startDate + required: false + schema: + type: string + format: date-time + description: Filter records from this start date (inclusive) + - in: query + name: endDate + required: false + schema: + type: string + format: date-time + description: Filter records until this end date (inclusive) + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/UpsertHistoryResponse' + '500': + description: Internal server error + patch: + tags: + - upsert-history + security: + - bearerAuth: [] + summary: Delete upsert history records + description: Soft delete upsert history records by IDs + operationId: patchDeleteUpsertHistory + requestBody: + content: + application/json: + schema: + type: object + properties: + ids: + type: array + items: + type: string + format: uuid + description: List of upsert history record IDs to delete + responses: + '200': + description: Successfully deleted records + '400': + description: Invalid request body + '500': + description: Internal server error + /variables: + post: + tags: + - variables + security: + - bearerAuth: [] + operationId: createVariable + summary: Create a new variable + description: Create a new variable + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Variable' + required: true + responses: + '200': + description: Variable created successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Variable' + '400': + description: Invalid request body + '422': + description: Validation error + '500': + description: Internal server error + get: + tags: + - variables + security: + - bearerAuth: [] + summary: List all variables + description: Retrieve a list of all variables + operationId: getAllVariables + responses: + '200': + description: Successful operation + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Variable' + '500': + description: Internal server error + + /variables/{id}: + put: + tags: + - variables + security: + - bearerAuth: [] + summary: Update a variable by ID + description: Update a specific variable by ID + operationId: updateVariable + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Variable ID + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/Variable' + required: true + responses: + '200': + description: Variable updated successfully + content: + application/json: + schema: + $ref: '#/components/schemas/Variable' + '400': + description: Invalid ID or request body provided + '404': + description: Variable not found + '500': + description: Internal server error + delete: + tags: + - variables + security: + - bearerAuth: [] + summary: Delete a variable by ID + description: Delete a specific variable by ID + operationId: deleteVariable + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Variable ID + responses: + '200': + description: Variable deleted successfully + '400': + description: Invalid ID provided + '404': + description: Variable not found + '500': + description: Internal server error + /vector/upsert/{id}: + post: + tags: + - vector + security: + - bearerAuth: [] + operationId: vectorUpsert + summary: Upsert vector embeddings + description: Upsert vector embeddings of documents in a chatflow + parameters: + - in: path + name: id + required: true + schema: + type: string + description: Chatflow ID + requestBody: + content: + application/json: + schema: + type: object + properties: + stopNodeId: + type: string + description: In cases when you have multiple vector store nodes, you can specify the node ID to store the vectors + example: 'node_1' + overrideConfig: + type: object + description: The configuration to override the default vector upsert settings (optional) + multipart/form-data: + schema: + type: object + properties: + files: + type: array + items: + type: string + format: binary + description: Files to be uploaded + modelName: + type: string + nullable: true + example: '' + description: Other override configurations + required: + - files + required: true + responses: + '200': + description: Vector embeddings upserted successfully + content: + application/json: + schema: + $ref: '#/components/schemas/VectorUpsertResponse' + '400': + description: Invalid input provided + '404': + description: Chatflow not found + '422': + description: Validation error + '500': + description: Internal server error + +components: + responses: + UnauthorizedError: + description: Access token is missing or invalid + schemas: + ApiKey: + type: object + properties: + apiKey: + type: string + example: 'vYV8OdUMRzRQbzpp2JzY5DvriBnuVHo3pYpPQ7IJWyw=' + apiSecret: + type: string + example: '50e19a35ee1df775c09628dade1c00f0f680c6e15256e34a6eab350b38b31352df35c4db7925a3e5dd41cc773a0e2529e6c6da18408a8bbeeb0ae4b0f0ab9486.a96478a9225ed6ab' + chatFlows: + type: array + example: [] + createdAt: + type: string + example: '10-Mar-24' + id: + type: string + example: '525e4daa2104f06ffdea5c1af37009be' + keyName: + type: string + example: 'someKeyName' + + ChatMessage: + type: object + properties: + id: + type: string + format: uuid + example: 'd290f1ee-6c54-4b01-90e6-d701748f0851' + role: + type: string + enum: [apiMessage, userMessage] + example: 'apiMessage' + chatflowid: + type: string + format: uuid + example: 'd290f1ee-6c54-4b01-90e6-d701748f0852' + content: + type: string + example: 'Hello, how can I help you today?' + sourceDocuments: + type: array + nullable: true + items: + $ref: '#/components/schemas/Document' + usedTools: + type: array + nullable: true + items: + $ref: '#/components/schemas/UsedTool' + fileAnnotations: + type: array + nullable: true + items: + $ref: '#/components/schemas/FileAnnotation' + agentReasoning: + type: array + nullable: true + items: + $ref: '#/components/schemas/AgentReasoning' + fileUploads: + type: array + nullable: true + items: + $ref: '#/components/schemas/FileUpload' + action: + type: array + nullable: true + items: + $ref: '#/components/schemas/Action' + chatType: + type: string + enum: [INTERNAL, EXTERNAL] + example: 'INTERNAL' + chatId: + type: string + example: 'chat12345' + memoryType: + type: string + nullable: true + sessionId: + type: string + nullable: true + createdDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + leadEmail: + type: string + nullable: true + example: 'user@example.com' + + Chatflow: + type: object + properties: + id: + type: string + example: 'd290f1ee-6c54-4b01-90e6-d701748f0851' + name: + type: string + example: 'MyChatFlow' + flowData: + type: string + example: '{}' + deployed: + type: boolean + isPublic: + type: boolean + apikeyid: + type: string + chatbotConfig: + type: string + example: '{}' + apiConfig: + type: string + example: '{}' + analytic: + type: string + example: '{}' + speechToText: + type: string + example: '{}' + category: + type: string + example: 'category1;category2' + type: + type: string + enum: [CHATFLOW, MULTIAGENT] + createdDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + updatedDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + + Document: + type: object + properties: + pageContent: + type: string + example: 'This is the content of the page.' + metadata: + type: object + additionalProperties: + type: string + example: + author: 'John Doe' + date: '2024-08-24' + + UsedTool: + type: object + properties: + tool: + type: string + example: 'Name of the tool' + toolInput: + type: object + additionalProperties: + type: string + example: + input: 'search query' + toolOutput: + type: string + + FileAnnotation: + type: object + properties: + filePath: + type: string + example: 'path/to/file' + fileName: + type: string + example: 'file.txt' + + FileUpload: + type: object + properties: + data: + type: string + example: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABjElEQVRIS+2Vv0oDQRDG' + type: + type: string + example: 'image' + name: + type: string + example: 'image.png' + mime: + type: string + example: 'image/png' + Action: + type: object + properties: + id: + type: string + format: uuid + example: '61beeb58-6ebe-4d51-aa0b-41d4c546ff08' + mapping: + type: object + properties: + approve: + type: string + example: 'Yes' + reject: + type: string + example: 'No' + toolCalls: + type: array + example: [] + elements: + type: array + + AgentReasoning: + type: object + properties: + agentName: + type: string + example: 'agent' + messages: + type: array + items: + type: string + example: ['hello'] + nodeName: + type: string + example: 'seqAgent' + nodeId: + type: string + example: 'seqAgent_0' + usedTools: + type: array + items: + $ref: '#/components/schemas/UsedTool' + sourceDocuments: + type: array + items: + $ref: '#/components/schemas/Document' + state: + type: object + additionalProperties: + type: string + + Assistant: + type: object + properties: + id: + type: string + example: 'd290f1ee-6c54-4b01-90e6-d701748f0851' + details: + type: object + properties: + id: + type: string + example: 'asst_zbNeYIuXIUSKVHjJkfRo6ilv' + name: + type: string + example: 'assistant' + description: + type: string + model: + type: string + example: 'gpt-4' + instructions: + type: string + example: 'You are a helpful assistant, do your best to answer question and query' + temperature: + type: number + example: 1 + top_p: + type: number + example: 1 + tools: + type: array + items: + type: string + example: ['function', 'code_interpreter', 'file_search'] + tool_resources: + type: object + additionalProperties: + type: object + credential: + type: string + example: '7db93c02-8d5a-4117-a8f1-3dfb6721b339' + iconSrc: + type: string + example: '/images/assistant.png' + createdDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + updatedDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + + Credential: + type: object + properties: + id: + type: string + example: 'cfd531e0-82fc-11e9-bc42-526af7764f64' + name: + type: string + example: 'My Credential' + credentialName: + type: string + example: 'openAIAPI' + encryptedData: + type: string + example: 'U2FsdGVkX1/3T2gnnsEtX6FJi1DbnYx0VVdS3XWZ5ro=' + createdDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + updatedDate: + type: string + format: date-time + example: '2024-08-24T14:15:22Z' + Prediction: + type: object + properties: + question: + type: string + description: The question being asked + overrideConfig: + type: object + description: The configuration to override the default prediction settings (optional) + history: + type: array + description: The history messages to be prepended (optional) + items: + type: object + properties: + role: + type: string + enum: [apiMessage, userMessage] + description: The role of the message + example: apiMessage + content: + type: string + description: The content of the message + example: 'Hello, how can I help you?' + uploads: + type: array + items: + type: object + properties: + type: + type: string + enum: [audio, url, file, 'file:rag', 'file:full'] + description: The type of file upload + example: file + name: + type: string + description: The name of the file or resource + example: 'image.png' + data: + type: string + description: The base64-encoded data or URL for the resource + example: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABjElEQVRIS+2Vv0oDQRDG' + mime: + type: string + description: The MIME type of the file or resource + example: 'image/png' + + Tool: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the tool + example: 'cfd531e0-82fc-11e9-bc42-526af7764f64' + name: + type: string + description: Name of the tool + example: 'date_time_tool' + description: + type: string + description: Description of the tool + example: 'A tool used for date and time operations' + color: + type: string + description: Color associated with the tool + example: '#FF5733' + iconSrc: + type: string + nullable: true + description: Source URL for the tool's icon + example: 'https://example.com/icons/date.png' + schema: + type: string + nullable: true + description: JSON schema associated with the tool + func: + type: string + nullable: true + description: Functionality description or code associated with the tool + createdDate: + type: string + format: date-time + description: Date and time when the tool was created + example: '2024-08-24T14:15:22Z' + updatedDate: + type: string + format: date-time + description: Date and time when the tool was last updated + example: '2024-08-24T14:15:22Z' + Variable: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the variable + example: 'cfd531e0-82fc-11e9-bc42-526af7764f64' + name: + type: string + description: Name of the variable + example: 'API_KEY' + value: + type: string + description: Value of the variable + nullable: true + example: 'my-secret-key' + type: + type: string + description: Type of the variable (e.g., string, number) + example: 'string' + createdDate: + type: string + format: date-time + description: Date and time when the variable was created + example: '2024-08-24T14:15:22Z' + updatedDate: + type: string + format: date-time + description: Date and time when the variable was last updated + example: '2024-08-24T14:15:22Z' + VectorUpsertResponse: + type: object + properties: + numAdded: + type: number + description: Number of vectors added + example: 1 + numDeleted: + type: number + description: Number of vectors deleted + example: 1 + numUpdated: + type: number + description: Number of vectors updated + example: 1 + numSkipped: + type: number + description: Number of vectors skipped (not added, deleted, or updated) + example: 1 + addedDocs: + type: array + items: + $ref: '#/components/schemas/Document' + Lead: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the lead + example: 'cfd531e0-82fc-11e9-bc42-526af7764f64' + name: + type: string + description: Name of the lead + example: 'John Doe' + email: + type: string + description: Email address of the lead + example: 'john.doe@example.com' + phone: + type: string + description: Phone number of the lead + example: '+1234567890' + chatflowid: + type: string + description: ID of the chatflow the lead is associated with + example: '7c4e8b7a-7b9a-4b4d-9f3e-2d28f1ebea02' + chatId: + type: string + description: ID of the chat session the lead is associated with + example: 'd7b0b5d8-85e6-4f2a-9c1f-9d9a0e2ebf6b' + createdDate: + type: string + format: date-time + description: Date and time when the lead was created + example: '2024-08-24T14:15:22Z' + UpsertHistoryResponse: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the upsert history record + example: 'cfd531e0-82fc-11e9-bc42-526af7764f64' + chatflowid: + type: string + description: ID of the chatflow associated with the upsert history + example: '7c4e8b7a-7b9a-4b4d-9f3e-2d28f1ebea02' + result: + type: string + description: Result of the upsert operation, stored as a JSON string + example: '{"status":"success","data":{"key":"value"}}' + flowData: + type: string + description: Flow data associated with the upsert operation, stored as a JSON string + example: '{"nodes":[],"edges":[]}' + date: + type: string + format: date-time + description: Date and time when the upsert operation was performed + example: '2024-08-24T14:15:22Z' + DocumentStore: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the document store + name: + type: string + description: Name of the document store + description: + type: string + description: Description of the document store + loaders: + type: string + description: Loaders associated with the document store, stored as JSON string + whereUsed: + type: string + description: Places where the document store is used, stored as JSON string + status: + type: string + enum: [EMPTY, SYNC, SYNCING, STALE, NEW, UPSERTING, UPSERTED] + description: Status of the document store + vectorStoreConfig: + type: string + description: Configuration for the vector store, stored as JSON string + embeddingConfig: + type: string + description: Configuration for the embedding, stored as JSON string + recordManagerConfig: + type: string + description: Configuration for the record manager, stored as JSON string + createdDate: + type: string + format: date-time + description: Date and time when the document store was created + updatedDate: + type: string + format: date-time + description: Date and time when the document store was last updated + + DocumentStoreFileChunk: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the file chunk + docId: + type: string + format: uuid + description: Document ID within the store + storeId: + type: string + format: uuid + description: Document Store ID + chunkNo: + type: integer + description: Chunk number within the document + pageContent: + type: string + description: Content of the chunk + metadata: + type: string + description: Metadata associated with the chunk + + DocumentStoreLoaderForPreview: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the document store loader + loaderId: + type: string + description: ID of the loader + loaderName: + type: string + description: Name of the loader + loaderConfig: + type: object + description: Configuration for the loader + splitterId: + type: string + description: ID of the text splitter + splitterName: + type: string + description: Name of the text splitter + splitterConfig: + type: object + description: Configuration for the text splitter + totalChunks: + type: number + description: Total number of chunks + totalChars: + type: number + description: Total number of characters + status: + type: string + enum: [EMPTY, SYNC, SYNCING, STALE, NEW, UPSERTING, UPSERTED] + description: Status of the document store loader + storeId: + type: string + description: ID of the document store + files: + type: array + items: + $ref: '#/components/schemas/DocumentStoreLoaderFile' + source: + type: string + description: Source of the document store loader + credential: + type: string + description: Credential associated with the document store loader + rehydrated: + type: boolean + description: Whether the loader has been rehydrated + preview: + type: boolean + description: Whether the loader is in preview mode + previewChunkCount: + type: number + description: Number of chunks in preview mode + + DocumentStoreLoaderFile: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the file + name: + type: string + description: Name of the file + mimePrefix: + type: string + description: MIME prefix of the file + size: + type: number + description: Size of the file + status: + type: string + enum: [EMPTY, SYNC, SYNCING, STALE, NEW, UPSERTING, UPSERTED] + description: Status of the file + uploaded: + type: string + format: date-time + description: Date and time when the file was uploaded + + DocumentStoreFileChunkPagedResponse: + type: object + properties: + chunks: + type: array + items: + $ref: '#/components/schemas/DocumentStoreFileChunk' + count: + type: number + example: 1 + file: + $ref: '#/components/schemas/DocumentStoreLoaderForPreview' + currentPage: + type: number + storeName: + type: string + description: + type: string + + DocumentStoreLoaderForUpsert: + type: object + properties: + docId: + type: string + format: uuid + nullable: true + description: Document ID within the store. If provided, existing configuration from the document will be used for the new document + metadata: + type: object + nullable: true + description: Metadata associated with the document + example: { 'foo': 'bar' } + replaceExisting: + type: boolean + nullable: true + description: Whether to replace existing document loader with the new upserted chunks. However this does not delete the existing embeddings in the vector store + createNewDocStore: + type: boolean + nullable: true + description: Whether to create a new document store + docStore: + type: object + nullable: true + description: Only when createNewDocStore is true, pass in the new document store configuration + properties: + name: + type: string + example: plainText + description: Name of the new document store to be created + description: + type: string + example: plainText + description: Description of the new document store to be created + loader: + type: object + nullable: true + properties: + name: + type: string + example: plainText + description: Name of the loader (camelCase) + config: + type: object + description: Configuration for the loader + splitter: + type: object + nullable: true + properties: + name: + type: string + example: recursiveCharacterTextSplitter + description: Name of the text splitter (camelCase) + config: + type: object + description: Configuration for the text splitter + embedding: + type: object + nullable: true + properties: + name: + type: string + example: openAIEmbeddings + description: Name of the embedding generator (camelCase) + config: + type: object + description: Configuration for the embedding generator + vectorStore: + type: object + nullable: true + properties: + name: + type: string + example: faiss + description: Name of the vector store (camelCase) + config: + type: object + description: Configuration for the vector store + recordManager: + type: object + nullable: true + properties: + name: + type: string + example: postgresRecordManager + description: Name of the record manager (camelCase) + config: + type: object + description: Configuration for the record manager + + DocumentStoreLoaderForRefresh: + type: object + properties: + items: + type: array + items: + $ref: '#/components/schemas/DocumentStoreLoaderForUpsert' + + ChatMessageFeedback: + type: object + properties: + id: + type: string + format: uuid + description: Unique identifier for the feedback + chatflowid: + type: string + format: uuid + description: Identifier for the chat flow + chatId: + type: string + description: Identifier for the chat + messageId: + type: string + format: uuid + description: Identifier for the message + rating: + type: string + enum: [THUMBS_UP, THUMBS_DOWN] + description: Rating for the message + content: + type: string + description: Feedback content + createdDate: + type: string + format: date-time + description: Date and time when the feedback was created + + CreateAttachmentResponse: + type: object + properties: + name: + type: string + description: Name of the file + mimeType: + type: string + description: Mime type of the file + size: + type: string + description: Size of the file + content: + type: string + description: Content of the file in string format + + securitySchemes: + bearerAuth: + type: http + scheme: bearer + bearerFormat: JWT # optional, for documentation purposes only diff --git a/packages/api-documentation/tsconfig.json b/packages/api-documentation/tsconfig.json new file mode 100644 index 00000000000..693ee1b8759 --- /dev/null +++ b/packages/api-documentation/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "lib": ["es2017"], + "target": "es2017" /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */, + "experimentalDecorators": true /* Enable experimental support for TC39 stage 2 draft decorators. */, + "emitDecoratorMetadata": true /* Emit design-type metadata for decorated declarations in source files. */, + "module": "commonjs" /* Specify what module code is generated. */, + "outDir": "dist", + "esModuleInterop": true /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables `allowSyntheticDefaultImports` for type compatibility. */, + "forceConsistentCasingInFileNames": true /* Ensure that casing is correct in imports. */, + "strict": true /* Enable all strict type-checking options. */, + "skipLibCheck": true /* Skip type checking all .d.ts files. */, + "sourceMap": true, + "strictPropertyInitialization": false, + "declaration": true + }, + "include": ["src"] +} diff --git a/packages/components/credentials/AlibabaApi.credential.ts b/packages/components/credentials/AlibabaApi.credential.ts new file mode 100644 index 00000000000..7ebfd148fc1 --- /dev/null +++ b/packages/components/credentials/AlibabaApi.credential.ts @@ -0,0 +1,23 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class AlibabaApi implements INodeCredential { + label: string + name: string + version: number + inputs: INodeParams[] + + constructor() { + this.label = 'Alibaba API' + this.name = 'AlibabaApi' + this.version = 1.0 + this.inputs = [ + { + label: 'Alibaba Api Key', + name: 'alibabaApiKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: AlibabaApi } diff --git a/packages/components/credentials/ArizeApi.credential.ts b/packages/components/credentials/ArizeApi.credential.ts new file mode 100644 index 00000000000..4e060dff8c9 --- /dev/null +++ b/packages/components/credentials/ArizeApi.credential.ts @@ -0,0 +1,39 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class ArizeApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Arize API' + this.name = 'arizeApi' + this.version = 1.0 + this.description = + 'Refer to official guide on how to get API keys on Arize.' + this.inputs = [ + { + label: 'API Key', + name: 'arizeApiKey', + type: 'password', + placeholder: '' + }, + { + label: 'Space ID', + name: 'arizeSpaceId', + type: 'string', + placeholder: '' + }, + { + label: 'Endpoint', + name: 'arizeEndpoint', + type: 'string', + default: 'https://otlp.arize.com' + } + ] + } +} + +module.exports = { credClass: ArizeApi } diff --git a/packages/components/credentials/AzureCognitiveServices.credential.ts b/packages/components/credentials/AzureCognitiveServices.credential.ts new file mode 100644 index 00000000000..66323e088a9 --- /dev/null +++ b/packages/components/credentials/AzureCognitiveServices.credential.ts @@ -0,0 +1,39 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class AzureCognitiveServices implements INodeCredential { + label: string + name: string + version: number + inputs: INodeParams[] + + constructor() { + this.label = 'Azure Cognitive Services' + this.name = 'azureCognitiveServices' + this.version = 1.0 + this.inputs = [ + { + label: 'Azure Subscription Key', + name: 'azureSubscriptionKey', + type: 'password', + description: 'Your Azure Cognitive Services subscription key' + }, + { + label: 'Service Region', + name: 'serviceRegion', + type: 'string', + description: 'The Azure service region (e.g., "westus", "eastus")', + placeholder: 'westus' + }, + { + label: 'API Version', + name: 'apiVersion', + type: 'string', + description: 'The API version to use (e.g., "2024-05-15-preview")', + placeholder: '2024-05-15-preview', + default: '2024-05-15-preview' + } + ] + } +} + +module.exports = { credClass: AzureCognitiveServices } diff --git a/packages/components/credentials/BaiduApi.credential.ts b/packages/components/credentials/BaiduApi.credential.ts index f2d8ea20186..80439987b31 100644 --- a/packages/components/credentials/BaiduApi.credential.ts +++ b/packages/components/credentials/BaiduApi.credential.ts @@ -1,28 +1,28 @@ import { INodeParams, INodeCredential } from '../src/Interface' -class BaiduApi implements INodeCredential { +class BaiduQianfanApi implements INodeCredential { label: string name: string version: number inputs: INodeParams[] constructor() { - this.label = 'Baidu API' - this.name = 'baiduApi' - this.version = 1.0 + this.label = 'Baidu Qianfan API' + this.name = 'baiduQianfanApi' + this.version = 2.0 this.inputs = [ { - label: 'Baidu Api Key', - name: 'baiduApiKey', - type: 'password' + label: 'Qianfan Access Key', + name: 'qianfanAccessKey', + type: 'string' }, { - label: 'Baidu Secret Key', - name: 'baiduSecretKey', + label: 'Qianfan Secret Key', + name: 'qianfanSecretKey', type: 'password' } ] } } -module.exports = { credClass: BaiduApi } +module.exports = { credClass: BaiduQianfanApi } diff --git a/packages/components/credentials/CerebrasApi.credential.ts b/packages/components/credentials/CerebrasApi.credential.ts new file mode 100644 index 00000000000..5a701536f0f --- /dev/null +++ b/packages/components/credentials/CerebrasApi.credential.ts @@ -0,0 +1,25 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class CerebrasAPIAuth implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Cerebras API Key' + this.name = 'cerebrasAIApi' + this.version = 1.0 + this.inputs = [ + { + label: 'Cerebras API Key', + name: 'cerebrasApiKey', + type: 'password', + description: 'API Key (cloud.cerebras.ai)' + } + ] + } +} + +module.exports = { credClass: CerebrasAPIAuth } diff --git a/packages/components/credentials/ChromaApi.credential.ts b/packages/components/credentials/ChromaApi.credential.ts index 759c113cd65..676344bcc00 100644 --- a/packages/components/credentials/ChromaApi.credential.ts +++ b/packages/components/credentials/ChromaApi.credential.ts @@ -16,6 +16,16 @@ class ChromaApi implements INodeCredential { label: 'Chroma Api Key', name: 'chromaApiKey', type: 'password' + }, + { + label: 'Chroma Tenant', + name: 'chromaTenant', + type: 'string' + }, + { + label: 'Chroma Database', + name: 'chromaDatabase', + type: 'string' } ] } diff --git a/packages/components/credentials/ComposioApi.credential.ts b/packages/components/credentials/ComposioApi.credential.ts new file mode 100644 index 00000000000..ed406fa7068 --- /dev/null +++ b/packages/components/credentials/ComposioApi.credential.ts @@ -0,0 +1,23 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class ComposioApi implements INodeCredential { + label: string + name: string + version: number + inputs: INodeParams[] + + constructor() { + this.label = 'Composio API' + this.name = 'composioApi' + this.version = 1.0 + this.inputs = [ + { + label: 'Composio API Key', + name: 'composioApi', + type: 'password' + } + ] + } +} + +module.exports = { credClass: ComposioApi } diff --git a/packages/components/credentials/CouchbaseApi.credential.ts b/packages/components/credentials/CouchbaseApi.credential.ts index 5772014afa7..8d3c68898b8 100644 --- a/packages/components/credentials/CouchbaseApi.credential.ts +++ b/packages/components/credentials/CouchbaseApi.credential.ts @@ -1,7 +1,3 @@ -/* -* Temporary disabled due to the incompatibility with the docker node-alpine: -* https://github.com/FlowiseAI/Flowise/pull/2303 - import { INodeParams, INodeCredential } from '../src/Interface' class CouchbaseApi implements INodeCredential { @@ -36,4 +32,3 @@ class CouchbaseApi implements INodeCredential { } module.exports = { credClass: CouchbaseApi } -*/ diff --git a/packages/components/credentials/DeepseekApi.credential.ts b/packages/components/credentials/DeepseekApi.credential.ts new file mode 100644 index 00000000000..8b8999a8666 --- /dev/null +++ b/packages/components/credentials/DeepseekApi.credential.ts @@ -0,0 +1,23 @@ +import { INodeCredential, INodeParams } from '../src/Interface' + +class DeepseekApi implements INodeCredential { + label: string + name: string + version: number + inputs: INodeParams[] + + constructor() { + this.label = 'DeepseekAI API' + this.name = 'deepseekApi' + this.version = 1.0 + this.inputs = [ + { + label: 'DeepseekAI API Key', + name: 'deepseekApiKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: DeepseekApi } diff --git a/packages/components/credentials/E2B.credential.ts b/packages/components/credentials/E2B.credential.ts index 9228c6cbe8a..810ae071f41 100644 --- a/packages/components/credentials/E2B.credential.ts +++ b/packages/components/credentials/E2B.credential.ts @@ -1,5 +1,3 @@ -/* -* TODO: Implement codeInterpreter column to chat_message table import { INodeParams, INodeCredential } from '../src/Interface' class E2BApi implements INodeCredential { @@ -23,4 +21,3 @@ class E2BApi implements INodeCredential { } module.exports = { credClass: E2BApi } -*/ diff --git a/packages/components/credentials/FireCrawlApi.credential.ts b/packages/components/credentials/FireCrawlApi.credential.ts index b3daa363ccd..4a8ad75960e 100644 --- a/packages/components/credentials/FireCrawlApi.credential.ts +++ b/packages/components/credentials/FireCrawlApi.credential.ts @@ -10,7 +10,7 @@ class FireCrawlApiCredential implements INodeCredential { constructor() { this.label = 'FireCrawl API' this.name = 'fireCrawlApi' - this.version = 1.0 + this.version = 2.0 this.description = 'You can find the FireCrawl API token on your FireCrawl account page.' this.inputs = [ @@ -18,6 +18,12 @@ class FireCrawlApiCredential implements INodeCredential { label: 'FireCrawl API', name: 'firecrawlApiToken', type: 'password' + }, + { + label: 'FireCrawl API URL', + name: 'firecrawlApiUrl', + type: 'string', + default: 'https://api.firecrawl.dev' } ] } diff --git a/packages/components/credentials/IBMWatsonx.credential.ts b/packages/components/credentials/IBMWatsonx.credential.ts new file mode 100644 index 00000000000..fa4eeca42a3 --- /dev/null +++ b/packages/components/credentials/IBMWatsonx.credential.ts @@ -0,0 +1,69 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class IBMWatsonxCredential implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'IBM Watsonx' + this.name = 'ibmWatsonx' + this.version = 1.0 + this.inputs = [ + { + label: 'Version', + name: 'version', + type: 'string', + placeholder: 'YYYY-MM-DD' + }, + { + label: 'Service URL', + name: 'serviceUrl', + type: 'string', + placeholder: '' + }, + { + label: 'Project ID', + name: 'projectId', + type: 'string', + placeholder: '' + }, + { + label: 'Watsonx AI Auth Type', + name: 'watsonxAIAuthType', + type: 'options', + options: [ + { + label: 'IAM', + name: 'iam' + }, + { + label: 'Bearer Token', + name: 'bearertoken' + } + ], + default: 'iam' + }, + { + label: 'Watsonx AI IAM API Key', + name: 'watsonxAIApikey', + type: 'password', + description: 'API Key for Watsonx AI when using IAM', + placeholder: '', + optional: true + }, + { + label: 'Watsonx AI Bearer Token', + name: 'watsonxAIBearerToken', + type: 'password', + description: 'Bearer Token for Watsonx AI when using Bearer Token', + placeholder: '', + optional: true + } + ] + } +} + +module.exports = { credClass: IBMWatsonxCredential } diff --git a/packages/components/credentials/JinaApi.credential.ts b/packages/components/credentials/JinaApi.credential.ts new file mode 100644 index 00000000000..4041c7befbd --- /dev/null +++ b/packages/components/credentials/JinaApi.credential.ts @@ -0,0 +1,25 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class JinaAICredential implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'JinaAI API' + this.name = 'jinaAIApi' + this.version = 1.0 + this.description = 'You can get your API key from official console here.' + this.inputs = [ + { + label: 'JinaAI API Key', + name: 'jinaAIAPIKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: JinaAICredential } diff --git a/packages/components/credentials/LunaryApi.credential.ts b/packages/components/credentials/LunaryApi.credential.ts index b68b67509f0..7b43cfa3f03 100644 --- a/packages/components/credentials/LunaryApi.credential.ts +++ b/packages/components/credentials/LunaryApi.credential.ts @@ -8,22 +8,23 @@ class LunaryApi implements INodeCredential { inputs: INodeParams[] constructor() { - this.label = 'Lunary API' + this.label = 'Lunary AI' this.name = 'lunaryApi' this.version = 1.0 - this.description = 'Refer to official guide to get APP ID' + this.description = + 'Refer to the official guide to get a public key.' this.inputs = [ { - label: 'APP ID', + label: 'Public Key / Project ID', name: 'lunaryAppId', - type: 'password', - placeholder: '' + type: 'string', + placeholder: '' }, { label: 'Endpoint', name: 'lunaryEndpoint', type: 'string', - default: 'https://app.lunary.ai' + default: 'https://api.lunary.ai' } ] } diff --git a/packages/components/credentials/MeilisearchApi.credential.ts b/packages/components/credentials/MeilisearchApi.credential.ts new file mode 100644 index 00000000000..64d8367b002 --- /dev/null +++ b/packages/components/credentials/MeilisearchApi.credential.ts @@ -0,0 +1,32 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class MeilisearchApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Meilisearch API' + this.name = 'meilisearchApi' + this.version = 1.0 + this.description = + 'Refer to official guide on how to get an API Key, you need a search API KEY for basic searching functionality, admin API KEY is optional but needed for upsert functionality ' + this.inputs = [ + { + label: 'Meilisearch Search API Key', + name: 'meilisearchSearchApiKey', + type: 'password' + }, + { + label: 'Meilisearch Admin API Key', + name: 'meilisearchAdminApiKey', + type: 'password', + optional: true + } + ] + } +} + +module.exports = { credClass: MeilisearchApi } diff --git a/packages/components/credentials/Neo4jApi.credential.ts b/packages/components/credentials/Neo4jApi.credential.ts new file mode 100644 index 00000000000..89bd4d15d16 --- /dev/null +++ b/packages/components/credentials/Neo4jApi.credential.ts @@ -0,0 +1,39 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class Neo4jApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Neo4j API' + this.name = 'neo4jApi' + this.version = 1.0 + this.description = + 'Refer to official guide on Neo4j authentication' + this.inputs = [ + { + label: 'Neo4j URL', + name: 'url', + type: 'string', + description: 'Your Neo4j instance URL (e.g., neo4j://localhost:7687)' + }, + { + label: 'Username', + name: 'username', + type: 'string', + description: 'Neo4j database username' + }, + { + label: 'Password', + name: 'password', + type: 'password', + description: 'Neo4j database password' + } + ] + } +} + +module.exports = { credClass: Neo4jApi } diff --git a/packages/components/credentials/NvdiaNIMApi.credential.ts b/packages/components/credentials/NvdiaNIMApi.credential.ts new file mode 100644 index 00000000000..3cae6961cfc --- /dev/null +++ b/packages/components/credentials/NvdiaNIMApi.credential.ts @@ -0,0 +1,24 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class NvidiaNIMApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Nvdia NIM API Key' + this.name = 'nvidiaNIMApi' + this.version = 1.0 + this.inputs = [ + { + label: 'Nvidia NIM API Key', + name: 'nvidiaNIMApiKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: NvidiaNIMApi } diff --git a/packages/components/credentials/OpenAPIAuth.credential.ts b/packages/components/credentials/OpenRouterApi.credential.ts similarity index 50% rename from packages/components/credentials/OpenAPIAuth.credential.ts rename to packages/components/credentials/OpenRouterApi.credential.ts index 3f0ef9075db..baef6f6d9e2 100644 --- a/packages/components/credentials/OpenAPIAuth.credential.ts +++ b/packages/components/credentials/OpenRouterApi.credential.ts @@ -1,6 +1,6 @@ import { INodeParams, INodeCredential } from '../src/Interface' -class OpenAPIAuth implements INodeCredential { +class OpenRouterAPIAuth implements INodeCredential { label: string name: string version: number @@ -8,18 +8,18 @@ class OpenAPIAuth implements INodeCredential { inputs: INodeParams[] constructor() { - this.label = 'OpenAPI Auth Token' - this.name = 'openAPIAuth' + this.label = 'OpenRouter API Key' + this.name = 'openRouterApi' this.version = 1.0 this.inputs = [ { - label: 'OpenAPI Token', - name: 'openAPIToken', + label: 'OpenRouter API Key', + name: 'openRouterApiKey', type: 'password', - description: 'Auth Token. For example: Bearer ' + description: 'API Key' } ] } } -module.exports = { credClass: OpenAPIAuth } +module.exports = { credClass: OpenRouterAPIAuth } diff --git a/packages/components/credentials/PhoenixApi.credential.ts b/packages/components/credentials/PhoenixApi.credential.ts new file mode 100644 index 00000000000..cbd4ba54cf3 --- /dev/null +++ b/packages/components/credentials/PhoenixApi.credential.ts @@ -0,0 +1,33 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class PhoenixApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Phoenix API' + this.name = 'phoenixApi' + this.version = 1.0 + this.description = + 'Refer to official guide on how to get API keys on Phoenix.' + this.inputs = [ + { + label: 'API Key', + name: 'phoenixApiKey', + type: 'password', + placeholder: '' + }, + { + label: 'Endpoint', + name: 'phoenixEndpoint', + type: 'string', + default: 'https://app.phoenix.arize.com' + } + ] + } +} + +module.exports = { credClass: PhoenixApi } diff --git a/packages/components/credentials/PostgresUrl.credential.ts b/packages/components/credentials/PostgresUrl.credential.ts new file mode 100644 index 00000000000..fe3bf504545 --- /dev/null +++ b/packages/components/credentials/PostgresUrl.credential.ts @@ -0,0 +1,25 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class PostgresUrl implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Postgres URL' + this.name = 'PostgresUrl' + this.version = 1.0 + this.inputs = [ + { + label: 'Postgres URL', + name: 'postgresUrl', + type: 'string', + placeholder: 'postgresql://localhost/mydb' + } + ] + } +} + +module.exports = { credClass: PostgresUrl } diff --git a/packages/components/credentials/RedisCacheApi.credential.ts b/packages/components/credentials/RedisCacheApi.credential.ts index 2b4ad6187a4..d46f4419c51 100644 --- a/packages/components/credentials/RedisCacheApi.credential.ts +++ b/packages/components/credentials/RedisCacheApi.credential.ts @@ -22,7 +22,7 @@ class RedisCacheApi implements INodeCredential { label: 'Port', name: 'redisCachePort', type: 'number', - default: '6789' + default: '6379' }, { label: 'User', diff --git a/packages/components/credentials/SlackApi.credential.ts b/packages/components/credentials/SlackApi.credential.ts new file mode 100644 index 00000000000..d5f5f31a8a0 --- /dev/null +++ b/packages/components/credentials/SlackApi.credential.ts @@ -0,0 +1,32 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class SlackApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Slack API' + this.name = 'slackApi' + this.version = 1.0 + this.description = + 'Refer to official guide on how to get botToken and teamId on Slack' + this.inputs = [ + { + label: 'Bot Token', + name: 'botToken', + type: 'password' + }, + { + label: 'Team ID', + name: 'teamId', + type: 'string', + placeholder: '' + } + ] + } +} + +module.exports = { credClass: SlackApi } diff --git a/packages/components/credentials/StripeApi.credential.ts b/packages/components/credentials/StripeApi.credential.ts new file mode 100644 index 00000000000..9be183fe446 --- /dev/null +++ b/packages/components/credentials/StripeApi.credential.ts @@ -0,0 +1,27 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class StripeApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Stripe API' + this.name = 'stripeApi' + this.version = 1.0 + this.description = + 'Refer to official guide on how to get accessToken on Airtable' + this.inputs = [ + { + label: 'Stripe API Token', + name: 'stripeApiToken', + type: 'password', + placeholder: '' + } + ] + } +} + +module.exports = { credClass: StripeApi } diff --git a/packages/components/credentials/TavilyApi.credential.ts b/packages/components/credentials/TavilyApi.credential.ts new file mode 100644 index 00000000000..161ff4df0b0 --- /dev/null +++ b/packages/components/credentials/TavilyApi.credential.ts @@ -0,0 +1,25 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class TavilyApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Tavily API' + this.name = 'tavilyApi' + this.version = 1.0 + this.description = 'Tavily API is a real-time API to access Google search results' + this.inputs = [ + { + label: 'Tavily Api Key', + name: 'tavilyApiKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: TavilyApi } diff --git a/packages/components/credentials/WolframAlphaApp.credential.ts b/packages/components/credentials/WolframAlphaApp.credential.ts new file mode 100644 index 00000000000..69daae4a185 --- /dev/null +++ b/packages/components/credentials/WolframAlphaApp.credential.ts @@ -0,0 +1,25 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class WolframAlphaApp implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'WolframAlpha App ID' + this.name = 'wolframAlphaAppId' + this.version = 1.0 + this.description = 'Get an App Id from Wolfram Alpha Portal' + this.inputs = [ + { + label: 'App ID', + name: 'wolframAlphaAppId', + type: 'password' + } + ] + } +} + +module.exports = { credClass: WolframAlphaApp } diff --git a/packages/components/credentials/XaiApi.credential.ts b/packages/components/credentials/XaiApi.credential.ts new file mode 100644 index 00000000000..25ecc1967c0 --- /dev/null +++ b/packages/components/credentials/XaiApi.credential.ts @@ -0,0 +1,24 @@ +import { INodeParams, INodeCredential } from '../src/Interface' + +class XaiApi implements INodeCredential { + label: string + name: string + version: number + description: string + inputs: INodeParams[] + + constructor() { + this.label = 'Xai API' + this.name = 'xaiApi' + this.version = 1.0 + this.inputs = [ + { + label: 'X AI API Key', + name: 'xaiApiKey', + type: 'password' + } + ] + } +} + +module.exports = { credClass: XaiApi } diff --git a/packages/components/gulpfile.ts b/packages/components/gulpfile.ts index cacfb076210..49bcfafb0bd 100644 --- a/packages/components/gulpfile.ts +++ b/packages/components/gulpfile.ts @@ -1,7 +1,7 @@ const { src, dest } = require('gulp') function copyIcons() { - return src(['nodes/**/*.{jpg,png,svg}']).pipe(dest('dist/nodes')) + return src(['nodes/**/*.{jpg,png,svg}']).pipe(dest('dist/nodess')) } exports.default = copyIcons diff --git a/packages/components/models.json b/packages/components/models.json index 2f6090cbd30..42d6e8002f3 100644 --- a/packages/components/models.json +++ b/packages/components/models.json @@ -4,34 +4,39 @@ "name": "awsChatBedrock", "models": [ { - "label": "anthropic.claude-3.5-sonnet", - "name": "anthropic.claude-3-5-sonnet-20240620-v1:0", - "description": "Image to text, conversation, chat optimized" + "label": "anthropic.claude-3-7-sonnet-20250219-v1:0", + "name": "anthropic.claude-3-7-sonnet-20250219-v1:0", + "description": "(20250219-v1:0) specific version of Claude Sonnet 3.7 - hybrid reasoning model" }, { - "label": "anthropic.claude-3-haiku", - "name": "anthropic.claude-3-haiku-20240307-v1:0", - "description": "Image to text, conversation, chat optimized" + "label": "anthropic.claude-3-5-haiku-20241022-v1:0", + "name": "anthropic.claude-3-5-haiku-20241022-v1:0", + "description": "(20241022-v1:0) specific version of Claude Haiku 3.5 - fastest model" }, { - "label": "anthropic.claude-3-haiku", - "name": "anthropic.claude-3-haiku-20240307-v1:0", - "description": "Image to text, conversation, chat optimized" + "label": "anthropic.claude-3.5-sonnet-20241022-v2:0", + "name": "anthropic.claude-3-5-sonnet-20241022-v2:0", + "description": "(20241022-v2:0) specific version of Claude Sonnet 3.5 - most intelligent model" }, { - "label": "anthropic.claude-3.5-sonnet", + "label": "anthropic.claude-3.5-sonnet-20240620-v1:0", "name": "anthropic.claude-3-5-sonnet-20240620-v1:0", - "description": "3.5 version of Claude Sonnet model" + "description": "(20240620-v1:0) specific version of Claude Sonnet 3.5 - most intelligent model" + }, + { + "label": "anthropic.claude-3-opus", + "name": "anthropic.claude-3-opus-20240229-v1:0", + "description": "Powerful model for highly complex tasks, reasoning and analysis" }, { "label": "anthropic.claude-3-sonnet", "name": "anthropic.claude-3-sonnet-20240229-v1:0", - "description": "Image to text and code, multilingual conversation, complex reasoning and analysis" + "description": "Balance of intelligence and speed" }, { - "label": "anthropic.claude-3-opus", - "name": "anthropic.claude-3-opus-20240229-v1:0", - "description": "Image to text and code, multilingual conversation, complex reasoning and analysis" + "label": "anthropic.claude-3-haiku", + "name": "anthropic.claude-3-haiku-20240307-v1:0", + "description": "Fastest and most compact model for near-instant responsiveness" }, { "label": "anthropic.claude-instant-v1", @@ -230,6 +235,26 @@ { "name": "azureChatOpenAI", "models": [ + { + "label": "o3-mini", + "name": "o3-mini" + }, + { + "label": "o1", + "name": "o1" + }, + { + "label": "o1-preview", + "name": "o1-preview" + }, + { + "label": "o1-mini", + "name": "o1-mini" + }, + { + "label": "gpt-4o-mini", + "name": "gpt-4o-mini" + }, { "label": "gpt-4o", "name": "gpt-4o" @@ -253,12 +278,20 @@ { "label": "gpt-4-vision-preview", "name": "gpt-4-vision-preview" + }, + { + "label": "gpt-4.5-preview", + "name": "gpt-4.5-preview" } ] }, { "name": "azureChatOpenAI_LlamaIndex", "models": [ + { + "label": "gpt-4o-mini", + "name": "gpt-4o-mini" + }, { "label": "gpt-4o", "name": "gpt-4o" @@ -297,30 +330,45 @@ "name": "chatAnthropic", "models": [ { - "label": "claude-3.5-sonnet", - "name": "claude-3-5-sonnet-20240620", - "description": "Lastest and most capable model" + "label": "claude-3-7-sonnet-latest", + "name": "claude-3-7-sonnet-latest", + "description": "Most recent snapshot version of Claude Sonnet 3.7 model - hybrid reasoning model" }, { - "label": "claude-3-haiku", - "name": "claude-3-haiku-20240307", - "description": "Fastest and most compact model, designed for near-instant responsiveness" + "label": "claude-3-5-haiku-latest", + "name": "claude-3-5-haiku-latest", + "description": "Most recent snapshot version of Claude Haiku 3.5 - fastest model" }, { - "label": "claude-3-opus", - "name": "claude-3-opus-20240229", - "description": "Most powerful model for highly complex tasks" + "label": "claude-3.5-sonnet-latest", + "name": "claude-3-5-sonnet-latest", + "description": "Most recent snapshot version of Claude Sonnet 3.5 model - most intelligent model" + }, + { + "label": "claude-3.5-sonnet-20241022", + "name": "claude-3-5-sonnet-20241022", + "description": "(20241022) specific version of Claude Sonnet 3.5 - most intelligent model" }, { - "label": "claude-3.5-sonnet", + "label": "claude-3.5-sonnet-20240620", "name": "claude-3-5-sonnet-20240620", - "description": "3.5 version of Claude Sonnet model" + "description": "(20240620) specific version of Claude Sonnet 3.5 - most intelligent model" + }, + { + "label": "claude-3-opus", + "name": "claude-3-opus-20240229", + "description": "Powerful model for highly complex tasks, reasoning and analysis" }, { "label": "claude-3-sonnet", "name": "claude-3-sonnet-20240229", "description": "Ideal balance of intelligence and speed for enterprise workloads" }, + { + "label": "claude-3-haiku", + "name": "claude-3-haiku-20240307", + "description": "Fastest and most compact model, designed for near-instant responsiveness" + }, { "label": "claude-2.0 (legacy)", "name": "claude-2.0", @@ -372,29 +420,33 @@ "name": "chatGoogleGenerativeAI", "models": [ { - "label": "gemini-1.5-flash-latest", - "name": "gemini-1.5-flash-latest" + "label": "gemini-2.0-flash-001", + "name": "gemini-2.0-flash-001" }, { - "label": "gemini-1.5-pro-latest", - "name": "gemini-1.5-pro-latest" + "label": "gemini-2.0-flash-lite-001", + "name": "gemini-2.0-flash-lite-001" }, { - "label": "gemini-pro", - "name": "gemini-pro" + "label": "gemini-1.5-flash", + "name": "gemini-1.5-flash" + }, + { + "label": "gemini-1.5-flash-8b", + "name": "gemini-1.5-flash-8b" }, { - "label": "gemini-pro-vision", - "name": "gemini-pro-vision" + "label": "gemini-1.5-pro", + "name": "gemini-1.5-pro" } ] }, { - "name": "chatGooglePaLM", + "name": "chatAlibabaTongyi", "models": [ { - "label": "models/chat-bison-001", - "name": "models/chat-bison-001" + "label": "qwen-plus", + "name": "qwen-plus" } ] }, @@ -402,12 +454,20 @@ "name": "chatGoogleVertexAI", "models": [ { - "label": "gemini-1.5-flash", - "name": "gemini-1.5-flash-preview-0514" + "label": "gemini-1.5-flash-002", + "name": "gemini-1.5-flash-002" }, { - "label": "gemini-1.5-pro", - "name": "gemini-1.5-pro-preview-0409" + "label": "gemini-1.5-flash-001", + "name": "gemini-1.5-flash-001" + }, + { + "label": "gemini-1.5-pro-002", + "name": "gemini-1.5-pro-002" + }, + { + "label": "gemini-1.5-pro-001", + "name": "gemini-1.5-pro-001" }, { "label": "gemini-1.0-pro", @@ -418,26 +478,68 @@ "name": "gemini-1.0-pro-vision" }, { - "label": "chat-bison", - "name": "chat-bison" + "label": "claude-3-7-sonnet@20250219", + "name": "claude-3-7-sonnet@20250219", + "description": "(20250219-v1:0) specific version of Claude Sonnet 3.7 - hybrid reasoning model" + }, + { + "label": "claude-3-5-haiku@20241022", + "name": "claude-3-5-haiku@20241022", + "description": "(20241022-v1:0) specific version of Claude Haiku 3.5 - fastest model" }, { - "label": "codechat-bison", - "name": "codechat-bison" + "label": "claude-3-5-sonnet-v2@20241022", + "name": "claude-3-5-sonnet-v2@20241022", + "description": "(20241022-v2:0) specific version of Claude Sonnet 3.5 - most intelligent model" }, { - "label": "chat-bison-32k", - "name": "chat-bison-32k" + "label": "claude-3-opus@20240229", + "name": "claude-3-opus@20240229", + "description": "Powerful model for highly complex tasks, reasoning and analysis" }, { - "label": "codechat-bison-32k", - "name": "codechat-bison-32k" + "label": "claude-3-sonnet@20240229", + "name": "claude-3-sonnet@20240229", + "description": "Balance of intelligence and speed" + }, + { + "label": "claude-3-haiku@20240307", + "name": "claude-3-haiku@20240307", + "description": "Fastest and most compact model for near-instant responsiveness" } ] }, { "name": "groqChat", "models": [ + { + "label": "deepseek-r1-distill-llama-70b", + "name": "deepseek-r1-distill-llama-70b" + }, + { + "label": "llama-3.3-70b-versatile", + "name": "llama-3.3-70b-versatile" + }, + { + "label": "llama-3.3-70b-specdec", + "name": "llama-3.3-70b-specdec" + }, + { + "label": "llama-3.2-1b-preview", + "name": "llama-3.2-1b-preview" + }, + { + "label": "llama-3.2-3b-preview", + "name": "llama-3.2-3b-preview" + }, + { + "label": "llama-3.2-11b-text-preview", + "name": "llama-3.2-11b-text-preview" + }, + { + "label": "llama-3.2-90b-text-preview", + "name": "llama-3.2-90b-text-preview" + }, { "label": "llama-3.1-405b-reasoning", "name": "llama-3.1-405b-reasoning" @@ -489,9 +591,26 @@ } ] }, + { + "name": "deepseek", + "models": [ + { + "label": "deepseek-chat", + "name": "deepseek-chat" + }, + { + "label": "deepseek-reasoner", + "name": "deepseek-reasoner" + } + ] + }, { "name": "chatOpenAI", "models": [ + { + "label": "gpt-4.5-preview", + "name": "gpt-4.5-preview" + }, { "label": "gpt-4o-mini (latest)", "name": "gpt-4o-mini" @@ -504,6 +623,10 @@ "label": "gpt-4o (latest)", "name": "gpt-4o" }, + { + "label": "gpt-4o-2024-11-20", + "name": "gpt-4o-2024-11-20" + }, { "label": "gpt-4o-2024-08-06", "name": "gpt-4o-2024-08-06" @@ -512,6 +635,30 @@ "label": "gpt-4o-2024-05-13", "name": "gpt-4o-2024-05-13" }, + { + "label": "o3-mini (latest)", + "name": "o3-mini" + }, + { + "label": "o3-mini-2025-01-31", + "name": "o3-mini-2025-01-31" + }, + { + "label": "o1-preview (latest)", + "name": "o1-preview" + }, + { + "label": "o1-preview-2024-09-12", + "name": "o1-preview-2024-09-12" + }, + { + "label": "o1-mini (latest)", + "name": "o1-mini" + }, + { + "label": "o1-mini-2024-09-12", + "name": "o1-mini-2024-09-12" + }, { "label": "gpt-4 (latest)", "name": "gpt-4" @@ -996,15 +1143,6 @@ } ] }, - { - "name": "GooglePaLM", - "models": [ - { - "label": "models/text-bison-001", - "name": "models/text-bison-001" - } - ] - }, { "name": "googlevertexai", "models": [ @@ -1099,6 +1237,16 @@ { "name": "voyageAIEmbeddings", "models": [ + { + "label": "voyage-3", + "name": "voyage-3", + "description": "High-performance embedding model with excellent retrieval quality, 32K token context, and 1024 dimension size." + }, + { + "label": "voyage-3-lite", + "name": "voyage-3-lite", + "description": "Lightweight embedding model optimized for low latency and cost, 32K token context, and 512 dimension size." + }, { "label": "voyage-2", "name": "voyage-2", @@ -1141,18 +1289,21 @@ } ] }, - { - "name": "googlePaLMEmbeddings", - "models": [ - { - "label": "models/embedding-gecko-001", - "name": "models/embedding-gecko-001" - } - ] - }, { "name": "googlevertexaiEmbeddings", "models": [ + { + "label": "multimodalembedding", + "name": "multimodalembedding" + }, + { + "label": "text-embedding-004", + "name": "text-embedding-004" + }, + { + "label": "text-multilingual-embedding-002", + "name": "text-multilingual-embedding-002" + }, { "label": "textembedding-gecko@001", "name": "textembedding-gecko@001" @@ -1393,4 +1544,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts b/packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts index 7b8349e80c1..d61ffd4be38 100644 --- a/packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts +++ b/packages/components/nodes/agents/AirtableAgent/AirtableAgent.ts @@ -2,7 +2,7 @@ import axios from 'axios' import { BaseLanguageModel } from '@langchain/core/language_models/base' import { AgentExecutor } from 'langchain/agents' import { LLMChain } from 'langchain/chains' -import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer, PromptTemplate } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core' @@ -28,7 +28,7 @@ class Airtable_Agents implements INode { this.type = 'AgentExecutor' this.category = 'Agents' this.icon = 'airtable.svg' - this.description = 'Agent used to to answer queries on Airtable table' + this.description = 'Agent used to answer queries on Airtable table' this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)] this.credential = { label: 'Connect Credential', @@ -104,11 +104,17 @@ class Airtable_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + const credentialData = await getCredentialData(nodeData.credential ?? '', options) const accessToken = getCredentialParam('accessToken', credentialData, nodeData) @@ -123,7 +129,6 @@ class Airtable_Agents implements INode { let base64String = Buffer.from(JSON.stringify(airtableData)).toString('base64') const loggerHandler = new ConsoleCallbackHandler(options.logger) - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) const callbacks = await additionalCallbacks(nodeData, options) const pyodide = await LoadPyodide() @@ -158,7 +163,7 @@ json.dumps(my_dict)` const chain = new LLMChain({ llm: model, prompt: PromptTemplate.fromTemplate(systemPrompt), - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) const inputs = { dict: dataframeColDict, @@ -187,14 +192,15 @@ json.dumps(my_dict)` const chain = new LLMChain({ llm: model, prompt: PromptTemplate.fromTemplate(finalSystemPrompt), - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) const inputs = { question: input, answer: finalResult } - if (options.socketIO && options.socketIOClientId) { + if (options.shouldStreamResponse) { + const handler = new CustomChainHandler(shouldStreamResponse ? sseStreamer : undefined, chatId) const result = await chain.call(inputs, [loggerHandler, handler, ...callbacks]) return result?.text } else { diff --git a/packages/components/nodes/agents/AutoGPT/AutoGPT.ts b/packages/components/nodes/agents/AutoGPT/AutoGPT.ts index 4c1d962c3e4..c41a52965fd 100644 --- a/packages/components/nodes/agents/AutoGPT/AutoGPT.ts +++ b/packages/components/nodes/agents/AutoGPT/AutoGPT.ts @@ -113,7 +113,9 @@ class AutoGPT_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } diff --git a/packages/components/nodes/agents/BabyAGI/BabyAGI.ts b/packages/components/nodes/agents/BabyAGI/BabyAGI.ts index bfc910b7952..87d5cd28923 100644 --- a/packages/components/nodes/agents/BabyAGI/BabyAGI.ts +++ b/packages/components/nodes/agents/BabyAGI/BabyAGI.ts @@ -73,7 +73,9 @@ class BabyAGI_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } diff --git a/packages/components/nodes/agents/CSVAgent/CSVAgent.ts b/packages/components/nodes/agents/CSVAgent/CSVAgent.ts index 5d61bcda3d1..fbe85afc7b9 100644 --- a/packages/components/nodes/agents/CSVAgent/CSVAgent.ts +++ b/packages/components/nodes/agents/CSVAgent/CSVAgent.ts @@ -2,7 +2,7 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { AgentExecutor } from 'langchain/agents' import { LLMChain } from 'langchain/chains' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer, PromptTemplate } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { LoadPyodide, finalSystemPrompt, systemPrompt } from './core' import { checkInputs, Moderation } from '../../moderation/Moderation' @@ -27,7 +27,7 @@ class CSV_Agents implements INode { this.type = 'AgentExecutor' this.category = 'Agents' this.icon = 'CSVagent.svg' - this.description = 'Agent used to to answer queries on CSV data' + this.description = 'Agent used to answer queries on CSV data' this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)] this.inputs = [ { @@ -90,13 +90,18 @@ class CSV_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } const loggerHandler = new ConsoleCallbackHandler(options.logger) - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + const callbacks = await additionalCallbacks(nodeData, options) let files: string[] = [] @@ -112,6 +117,7 @@ class CSV_Agents implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) base64String += fileData.toString('base64') } @@ -123,6 +129,7 @@ class CSV_Agents implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() base64String += splitDataURI.pop() ?? '' @@ -163,7 +170,7 @@ json.dumps(my_dict)` const chain = new LLMChain({ llm: model, prompt: PromptTemplate.fromTemplate(systemPrompt), - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) const inputs = { dict: dataframeColDict, @@ -194,14 +201,15 @@ json.dumps(my_dict)` prompt: PromptTemplate.fromTemplate( systemMessagePrompt ? `${systemMessagePrompt}\n${finalSystemPrompt}` : finalSystemPrompt ), - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) const inputs = { question: input, answer: finalResult } - if (options.socketIO && options.socketIOClientId) { + if (options.shouldStreamResponse) { + const handler = new CustomChainHandler(shouldStreamResponse ? sseStreamer : undefined, chatId) const result = await chain.call(inputs, [loggerHandler, handler, ...callbacks]) return result?.text } else { diff --git a/packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts b/packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts index cddc81f864b..4a5d910873e 100644 --- a/packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts +++ b/packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts @@ -7,12 +7,21 @@ import { AgentStep } from '@langchain/core/agents' import { renderTemplate, MessagesPlaceholder, HumanMessagePromptTemplate, PromptTemplate } from '@langchain/core/prompts' import { RunnableSequence } from '@langchain/core/runnables' import { ChatConversationalAgent } from 'langchain/agents' -import { getBaseClasses } from '../../../src/utils' +import { getBaseClasses, transformBracesWithColon } from '../../../src/utils' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { IVisionChatModal, FlowiseMemory, ICommonObject, INode, INodeData, INodeParams, IUsedTool } from '../../../src/Interface' +import { + IVisionChatModal, + FlowiseMemory, + ICommonObject, + INode, + INodeData, + INodeParams, + IUsedTool, + IServerSideEventStreamer +} from '../../../src/Interface' import { AgentExecutor } from '../../../src/agents' import { addImagesToMessages, llmSupportsVision } from '../../../src/multiModalUtils' -import { checkInputs, Moderation } from '../../moderation/Moderation' +import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' import { formatResponse } from '../../outputparsers/OutputParserHelpers' const DEFAULT_PREFIX = `Assistant is a large language model trained by OpenAI. @@ -106,13 +115,18 @@ class ConversationalAgent_Agents implements INode { const memory = nodeData.inputs?.memory as FlowiseMemory const moderations = nodeData.inputs?.inputModeration as Moderation[] + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the BabyAGI agent input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -125,17 +139,33 @@ class ConversationalAgent_Agents implements INode { let sourceDocuments: ICommonObject[] = [] let usedTools: IUsedTool[] = [] - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + const handler = new CustomChainHandler(shouldStreamResponse ? sseStreamer : undefined, chatId) res = await executor.invoke({ input }, { callbacks: [loggerHandler, handler, ...callbacks] }) if (res.sourceDocuments) { - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', flatten(res.sourceDocuments)) + if (options.sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(options.chatId, flatten(res.sourceDocuments)) + } sourceDocuments = res.sourceDocuments } if (res.usedTools) { - options.socketIO.to(options.socketIOClientId).emit('usedTools', res.usedTools) + sseStreamer.streamUsedToolsEvent(options.chatId, res.usedTools) usedTools = res.usedTools } + // If the tool is set to returnDirect, stream the output to the client + if (res.usedTools && res.usedTools.length) { + let inputTools = nodeData.inputs?.tools + inputTools = flatten(inputTools) + for (const tool of res.usedTools) { + const inputTool = inputTools.find((inputTool: Tool) => inputTool.name === tool.tool) + if (inputTool && inputTool.returnDirect && options.sseStreamer) { + sseStreamer.streamTokenEvent(options.chatId, tool.toolOutput) + } + } + } + if (sseStreamer) { + sseStreamer.streamEndEvent(options.chatId) + } } else { res = await executor.invoke({ input }, { callbacks: [loggerHandler, ...callbacks] }) if (res.sourceDocuments) { @@ -187,7 +217,7 @@ const prepareAgent = async ( let tools = nodeData.inputs?.tools as Tool[] tools = flatten(tools) const memory = nodeData.inputs?.memory as FlowiseMemory - const systemMessage = nodeData.inputs?.systemMessage as string + let systemMessage = nodeData.inputs?.systemMessage as string const memoryKey = memory.memoryKey ? memory.memoryKey : 'chat_history' const inputKey = memory.inputKey ? memory.inputKey : 'input' const prependMessages = options?.prependMessages @@ -197,6 +227,8 @@ const prepareAgent = async ( toolNames: tools.map((tool) => tool.name) }) + systemMessage = transformBracesWithColon(systemMessage) + const prompt = ChatConversationalAgent.createPrompt(tools, { systemMessage: systemMessage ? systemMessage : DEFAULT_PREFIX, outputParser diff --git a/packages/components/nodes/agents/ConversationalRetrievalToolAgent/ConversationalRetrievalToolAgent.ts b/packages/components/nodes/agents/ConversationalRetrievalToolAgent/ConversationalRetrievalToolAgent.ts new file mode 100644 index 00000000000..54698ca1347 --- /dev/null +++ b/packages/components/nodes/agents/ConversationalRetrievalToolAgent/ConversationalRetrievalToolAgent.ts @@ -0,0 +1,298 @@ +import { flatten } from 'lodash' +import { BaseMessage } from '@langchain/core/messages' +import { ChainValues } from '@langchain/core/utils/types' +import { RunnableSequence } from '@langchain/core/runnables' +import { BaseChatModel } from '@langchain/core/language_models/chat_models' +import { ChatPromptTemplate, MessagesPlaceholder, HumanMessagePromptTemplate, PromptTemplate } from '@langchain/core/prompts' +import { formatToOpenAIToolMessages } from 'langchain/agents/format_scratchpad/openai_tools' +import { getBaseClasses, transformBracesWithColon } from '../../../src/utils' +import { type ToolsAgentStep } from 'langchain/agents/openai/output_parser' +import { + FlowiseMemory, + ICommonObject, + INode, + INodeData, + INodeParams, + IServerSideEventStreamer, + IUsedTool, + IVisionChatModal +} from '../../../src/Interface' +import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' +import { AgentExecutor, ToolCallingAgentOutputParser } from '../../../src/agents' +import { Moderation, checkInputs, streamResponse } from '../../moderation/Moderation' +import { formatResponse } from '../../outputparsers/OutputParserHelpers' +import type { Document } from '@langchain/core/documents' +import { BaseRetriever } from '@langchain/core/retrievers' +import { RESPONSE_TEMPLATE } from '../../chains/ConversationalRetrievalQAChain/prompts' +import { addImagesToMessages, llmSupportsVision } from '../../../src/multiModalUtils' + +class ConversationalRetrievalToolAgent_Agents implements INode { + label: string + name: string + author: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + sessionId?: string + + constructor(fields?: { sessionId?: string }) { + this.label = 'Conversational Retrieval Tool Agent' + this.name = 'conversationalRetrievalToolAgent' + this.author = 'niztal(falkor)' + this.version = 1.0 + this.type = 'AgentExecutor' + this.category = 'Agents' + this.icon = 'toolAgent.png' + this.description = `Agent that calls a vector store retrieval and uses Function Calling to pick the tools and args to call` + this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)] + this.inputs = [ + { + label: 'Tools', + name: 'tools', + type: 'Tool', + list: true + }, + { + label: 'Memory', + name: 'memory', + type: 'BaseChatMemory' + }, + { + label: 'Tool Calling Chat Model', + name: 'model', + type: 'BaseChatModel', + description: + 'Only compatible with models that are capable of function calling. ChatOpenAI, ChatMistral, ChatAnthropic, ChatVertexAI' + }, + { + label: 'System Message', + name: 'systemMessage', + type: 'string', + description: 'Taking the rephrased question, search for answer from the provided context', + warning: 'Prompt must include input variable: {context}', + rows: 4, + additionalParams: true, + optional: true, + default: RESPONSE_TEMPLATE + }, + { + label: 'Input Moderation', + description: 'Detect text that could generate harmful output and prevent it from being sent to the language model', + name: 'inputModeration', + type: 'Moderation', + optional: true, + list: true + }, + { + label: 'Max Iterations', + name: 'maxIterations', + type: 'number', + optional: true, + additionalParams: true + }, + { + label: 'Vector Store Retriever', + name: 'vectorStoreRetriever', + type: 'BaseRetriever' + } + ] + this.sessionId = fields?.sessionId + } + + async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { + return prepareAgent(nodeData, options, { sessionId: this.sessionId, chatId: options.chatId, input }) + } + + async run(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const memory = nodeData.inputs?.memory as FlowiseMemory + const moderations = nodeData.inputs?.inputModeration as Moderation[] + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (moderations && moderations.length > 0) { + try { + // Use the output of the moderation chain as input for the OpenAI Function Agent + input = await checkInputs(moderations, input) + } catch (e) { + await new Promise((resolve) => setTimeout(resolve, 500)) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } + return formatResponse(e.message) + } + } + + const executor = await prepareAgent(nodeData, options, { sessionId: this.sessionId, chatId: options.chatId, input }) + + const loggerHandler = new ConsoleCallbackHandler(options.logger) + const callbacks = await additionalCallbacks(nodeData, options) + + let res: ChainValues = {} + let sourceDocuments: ICommonObject[] = [] + let usedTools: IUsedTool[] = [] + + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) + res = await executor.invoke({ input }, { callbacks: [loggerHandler, handler, ...callbacks] }) + if (res.sourceDocuments) { + sseStreamer.streamSourceDocumentsEvent(chatId, flatten(res.sourceDocuments)) + sourceDocuments = res.sourceDocuments + } + if (res.usedTools) { + sseStreamer.streamUsedToolsEvent(chatId, res.usedTools) + usedTools = res.usedTools + } + } else { + res = await executor.invoke({ input }, { callbacks: [loggerHandler, ...callbacks] }) + if (res.sourceDocuments) { + sourceDocuments = res.sourceDocuments + } + if (res.usedTools) { + usedTools = res.usedTools + } + } + + let output = res?.output as string + + // Claude 3 Opus tends to spit out .. as well, discard that in final output + const regexPattern: RegExp = /[\s\S]*?<\/thinking>/ + const matches: RegExpMatchArray | null = output.match(regexPattern) + if (matches) { + for (const match of matches) { + output = output.replace(match, '') + } + } + + await memory.addChatMessages( + [ + { + text: input, + type: 'userMessage' + }, + { + text: output, + type: 'apiMessage' + } + ], + this.sessionId + ) + + let finalRes = res?.output + + if (sourceDocuments.length || usedTools.length) { + const finalRes: ICommonObject = { text: output } + if (sourceDocuments.length) { + finalRes.sourceDocuments = flatten(sourceDocuments) + } + if (usedTools.length) { + finalRes.usedTools = usedTools + } + return finalRes + } + + return finalRes + } +} + +const formatDocs = (docs: Document[]) => { + return docs.map((doc, i) => `${doc.pageContent}`).join('\n') +} + +const prepareAgent = async ( + nodeData: INodeData, + options: ICommonObject, + flowObj: { sessionId?: string; chatId?: string; input?: string } +) => { + const model = nodeData.inputs?.model as BaseChatModel + const maxIterations = nodeData.inputs?.maxIterations as string + const memory = nodeData.inputs?.memory as FlowiseMemory + let systemMessage = nodeData.inputs?.systemMessage as string + let tools = nodeData.inputs?.tools + tools = flatten(tools) + const memoryKey = memory.memoryKey ? memory.memoryKey : 'chat_history' + const inputKey = memory.inputKey ? memory.inputKey : 'input' + const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever + + systemMessage = transformBracesWithColon(systemMessage) + + const prompt = ChatPromptTemplate.fromMessages([ + ['system', systemMessage ? systemMessage : `You are a helpful AI assistant.`], + new MessagesPlaceholder(memoryKey), + ['human', `{${inputKey}}`], + new MessagesPlaceholder('agent_scratchpad') + ]) + + if (llmSupportsVision(model)) { + const visionChatModel = model as IVisionChatModal + const messageContent = await addImagesToMessages(nodeData, options, model.multiModalOption) + + if (messageContent?.length) { + visionChatModel.setVisionModel() + + // Pop the `agent_scratchpad` MessagePlaceHolder + let messagePlaceholder = prompt.promptMessages.pop() as MessagesPlaceholder + if (prompt.promptMessages.at(-1) instanceof HumanMessagePromptTemplate) { + const lastMessage = prompt.promptMessages.pop() as HumanMessagePromptTemplate + const template = (lastMessage.prompt as PromptTemplate).template as string + const msg = HumanMessagePromptTemplate.fromTemplate([ + ...messageContent, + { + text: template + } + ]) + msg.inputVariables = lastMessage.inputVariables + prompt.promptMessages.push(msg) + } + + // Add the `agent_scratchpad` MessagePlaceHolder back + prompt.promptMessages.push(messagePlaceholder) + } else { + visionChatModel.revertToOriginalModel() + } + } + + if (model.bindTools === undefined) { + throw new Error(`This agent requires that the "bindTools()" method be implemented on the input model.`) + } + + const modelWithTools = model.bindTools(tools) + + const runnableAgent = RunnableSequence.from([ + { + [inputKey]: (i: { input: string; steps: ToolsAgentStep[] }) => i.input, + agent_scratchpad: (i: { input: string; steps: ToolsAgentStep[] }) => formatToOpenAIToolMessages(i.steps), + [memoryKey]: async (_: { input: string; steps: ToolsAgentStep[] }) => { + const messages = (await memory.getChatMessages(flowObj?.sessionId, true)) as BaseMessage[] + return messages ?? [] + }, + context: async (i: { input: string; chatHistory?: string }) => { + const relevantDocs = await vectorStoreRetriever.invoke(i.input) + const formattedDocs = formatDocs(relevantDocs) + return formattedDocs + } + }, + prompt, + modelWithTools, + new ToolCallingAgentOutputParser() + ]) + + const executor = AgentExecutor.fromAgentAndTools({ + agent: runnableAgent, + tools, + sessionId: flowObj?.sessionId, + chatId: flowObj?.chatId, + input: flowObj?.input, + verbose: process.env.DEBUG === 'true', + maxIterations: maxIterations ? parseFloat(maxIterations) : undefined + }) + + return executor +} + +module.exports = { nodeClass: ConversationalRetrievalToolAgent_Agents } diff --git a/packages/components/nodes/agents/ConversationalRetrievalToolAgent/toolAgent.png b/packages/components/nodes/agents/ConversationalRetrievalToolAgent/toolAgent.png new file mode 100644 index 00000000000..7bf44339bcb Binary files /dev/null and b/packages/components/nodes/agents/ConversationalRetrievalToolAgent/toolAgent.png differ diff --git a/packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts b/packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts index 8fa4c854211..c218ff65481 100644 --- a/packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts +++ b/packages/components/nodes/agents/LlamaIndexAgents/AnthropicAgent/AnthropicAgent_LlamaIndex.ts @@ -15,7 +15,6 @@ class AnthropicAgent_LlamaIndex_Agents implements INode { tags: string[] inputs: INodeParams[] sessionId?: string - badge?: string constructor(fields?: { sessionId?: string }) { this.label = 'Anthropic Agent' @@ -97,13 +96,13 @@ class AnthropicAgent_LlamaIndex_Agents implements INode { tools, llm: model, chatHistory: chatHistory, - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) let text = '' const usedTools: IUsedTool[] = [] - const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' ? true : false }) + const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' }) if (response.sources.length) { for (const sourceTool of response.sources) { diff --git a/packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts b/packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts index ed9895de0ed..07b2578bd87 100644 --- a/packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts +++ b/packages/components/nodes/agents/LlamaIndexAgents/OpenAIToolAgent/OpenAIToolAgent_LlamaIndex.ts @@ -1,7 +1,16 @@ import { flatten } from 'lodash' import { ChatMessage, OpenAI, OpenAIAgent } from 'llamaindex' import { getBaseClasses } from '../../../../src/utils' -import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, IUsedTool } from '../../../../src/Interface' +import { + FlowiseMemory, + ICommonObject, + IMessage, + INode, + INodeData, + INodeParams, + IServerSideEventStreamer, + IUsedTool +} from '../../../../src/Interface' class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { label: string @@ -15,7 +24,6 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { tags: string[] inputs: INodeParams[] sessionId?: string - badge?: string constructor(fields?: { sessionId?: string }) { this.label = 'OpenAI Tool Agent' @@ -67,7 +75,9 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { let tools = nodeData.inputs?.tools tools = flatten(tools) - const isStreamingEnabled = options.socketIO && options.socketIOClientId + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId const chatHistory = [] as ChatMessage[] @@ -97,26 +107,28 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { tools, llm: model, chatHistory: chatHistory, - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) let text = '' let isStreamingStarted = false const usedTools: IUsedTool[] = [] - if (isStreamingEnabled) { + if (shouldStreamResponse) { const stream = await agent.chat({ message: input, chatHistory, stream: true, - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) for await (const chunk of stream) { //console.log('chunk', chunk) text += chunk.response.delta if (!isStreamingStarted) { isStreamingStarted = true - options.socketIO.to(options.socketIOClientId).emit('start', chunk.response.delta) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.response.delta) + } if (chunk.sources.length) { for (const sourceTool of chunk.sources) { usedTools.push({ @@ -125,14 +137,17 @@ class OpenAIFunctionAgent_LlamaIndex_Agents implements INode { toolOutput: sourceTool.output as any }) } - options.socketIO.to(options.socketIOClientId).emit('usedTools', usedTools) + if (sseStreamer) { + sseStreamer.streamUsedToolsEvent(chatId, usedTools) + } } } - - options.socketIO.to(options.socketIOClientId).emit('token', chunk.response.delta) + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.response.delta) + } } } else { - const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' ? true : false }) + const response = await agent.chat({ message: input, chatHistory, verbose: process.env.DEBUG === 'true' }) if (response.sources.length) { for (const sourceTool of response.sources) { usedTools.push({ diff --git a/packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts b/packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts index 98e76fedc86..6ff7fed3a04 100644 --- a/packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts +++ b/packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts @@ -1,4 +1,13 @@ -import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams, IUsedTool } from '../../../src/Interface' +import { + ICommonObject, + IDatabaseEntity, + INode, + INodeData, + INodeOptionsValue, + INodeParams, + IServerSideEventStreamer, + IUsedTool +} from '../../../src/Interface' import OpenAI from 'openai' import { DataSource } from 'typeorm' import { getCredentialData, getCredentialParam } from '../../../src/utils' @@ -9,6 +18,7 @@ import { AnalyticHandler } from '../../../src/handler' import { Moderation, checkInputs, streamResponse } from '../../moderation/Moderation' import { formatResponse } from '../../outputparsers/OutputParserHelpers' import { addSingleFileToStorage } from '../../../src/storageUtils' +import { DynamicStructuredTool } from '../../tools/OpenAPIToolkit/core' const lenticularBracketRegex = /【[^】]*】/g const imageRegex = /]*\/>/g @@ -176,16 +186,19 @@ class OpenAIAssistant_Agents implements INode { const moderations = nodeData.inputs?.inputModeration as Moderation[] const _toolChoice = nodeData.inputs?.toolChoice as string const parallelToolCalls = nodeData.inputs?.parallelToolCalls as boolean - const isStreaming = options.socketIO && options.socketIOClientId - const socketIO = isStreaming ? options.socketIO : undefined - const socketIOClientId = isStreaming ? options.socketIOClientId : '' + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId if (moderations && moderations.length > 0) { try { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(isStreaming, e.message, socketIO, socketIOClientId) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -196,6 +209,7 @@ class OpenAIAssistant_Agents implements INode { const usedTools: IUsedTool[] = [] const fileAnnotations = [] + const artifacts = [] const assistant = await appDataSource.getRepository(databaseEntities['Assistant']).findOneBy({ id: selectedAssistantId @@ -254,28 +268,54 @@ class OpenAIAssistant_Agents implements INode { // List all runs, in case existing thread is still running if (!isNewThread) { const promise = (threadId: string) => { - return new Promise((resolve) => { + return new Promise((resolve, reject) => { + const maxWaitTime = 30000 // Maximum wait time of 30 seconds + const startTime = Date.now() + let delay = 500 // Initial delay between retries + const maxRetries = 10 + let retries = 0 + const timeout = setInterval(async () => { - const allRuns = await openai.beta.threads.runs.list(threadId) - if (allRuns.data && allRuns.data.length) { - const firstRunId = allRuns.data[0].id - const runStatus = allRuns.data.find((run) => run.id === firstRunId)?.status - if ( - runStatus && - (runStatus === 'cancelled' || - runStatus === 'completed' || - runStatus === 'expired' || - runStatus === 'failed' || - runStatus === 'requires_action') - ) { + try { + const allRuns = await openai.beta.threads.runs.list(threadId) + if (allRuns.data && allRuns.data.length) { + const firstRunId = allRuns.data[0].id + const runStatus = allRuns.data.find((run) => run.id === firstRunId)?.status + if ( + runStatus && + (runStatus === 'cancelled' || + runStatus === 'completed' || + runStatus === 'expired' || + runStatus === 'failed' || + runStatus === 'requires_action') + ) { + clearInterval(timeout) + resolve() + } + } else { clearInterval(timeout) - resolve() + reject(new Error(`Empty Thread: ${threadId}`)) } - } else { + } catch (error: any) { + if (error.response?.status === 404) { + clearInterval(timeout) + reject(new Error(`Thread not found: ${threadId}`)) + } else if (error.response?.status === 429 && retries < maxRetries) { + retries++ + delay *= 2 + console.warn(`Rate limit exceeded, retrying in ${delay}ms...`) + } else { + clearInterval(timeout) + reject(new Error(`Unexpected error: ${error.message}`)) + } + } + + // Timeout condition to stop the loop if maxWaitTime is exceeded + if (Date.now() - startTime > maxWaitTime) { clearInterval(timeout) - resolve() + reject(new Error('Timeout waiting for thread to finish.')) } - }, 500) + }, delay) }) } await promise(threadId) @@ -307,7 +347,7 @@ class OpenAIAssistant_Agents implements INode { } } - if (isStreaming) { + if (shouldStreamResponse) { const streamThread = await openai.beta.threads.runs.create(threadId, { assistant_id: retrievedAssistant.id, stream: true, @@ -389,26 +429,37 @@ class OpenAIAssistant_Agents implements INode { if (message_content.value) { if (!isStreamingStarted) { isStreamingStarted = true - socketIO.to(socketIOClientId).emit('start', message_content.value) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, message_content.value) + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, message_content.value) } - socketIO.to(socketIOClientId).emit('token', message_content.value) } if (fileAnnotations.length) { if (!isStreamingStarted) { isStreamingStarted = true - socketIO.to(socketIOClientId).emit('start', '') + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, ' ') + } + } + if (sseStreamer) { + sseStreamer.streamFileAnnotationsEvent(chatId, fileAnnotations) } - socketIO.to(socketIOClientId).emit('fileAnnotations', fileAnnotations) } } else { text += chunk.text?.value if (!isStreamingStarted) { isStreamingStarted = true - socketIO.to(socketIOClientId).emit('start', chunk.text?.value) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.text?.value || '') + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.text?.value || '') } - - socketIO.to(socketIOClientId).emit('token', chunk.text?.value) } } @@ -416,19 +467,24 @@ class OpenAIAssistant_Agents implements INode { const fileId = chunk.image_file.file_id const fileObj = await openai.files.retrieve(fileId) - const buffer = await downloadImg(openai, fileId, `${fileObj.filename}.png`, options.chatflowid, options.chatId) - const base64String = Buffer.from(buffer).toString('base64') - - // TODO: Use a file path and retrieve image on the fly. Storing as base64 to localStorage and database will easily hit limits - const imgHTML = `${fileObj.filename}
` - text += imgHTML + const filePath = await downloadImg( + openai, + fileId, + `${fileObj.filename}.png`, + options.chatflowid, + options.chatId + ) + artifacts.push({ type: 'png', data: filePath }) if (!isStreamingStarted) { isStreamingStarted = true - socketIO.to(socketIOClientId).emit('start', imgHTML) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, ' ') + } + } + if (sseStreamer) { + sseStreamer.streamArtifactsEvent(chatId, artifacts) } - - socketIO.to(socketIOClientId).emit('token', imgHTML) } } @@ -449,7 +505,6 @@ class OpenAIAssistant_Agents implements INode { toolCallId: item.id }) }) - const submitToolOutputs = [] for (let i = 0; i < actions.length; i += 1) { const tool = tools.find((tool: any) => tool.name === actions[i].tool) @@ -484,26 +539,23 @@ class OpenAIAssistant_Agents implements INode { } try { - const stream = openai.beta.threads.runs.submitToolOutputsStream(threadId, runThreadId, { - tool_outputs: submitToolOutputs + await handleToolSubmission({ + openai, + threadId, + runThreadId, + submitToolOutputs, + tools, + analyticHandlers, + parentIds, + llmIds, + sseStreamer, + chatId, + options, + input, + usedTools, + text, + isStreamingStarted }) - - for await (const event of stream) { - if (event.event === 'thread.message.delta') { - const chunk = event.data.delta.content?.[0] - if (chunk && 'text' in chunk && chunk.text?.value) { - text += chunk.text.value - if (!isStreamingStarted) { - isStreamingStarted = true - socketIO.to(socketIOClientId).emit('start', chunk.text.value) - } - - socketIO.to(socketIOClientId).emit('token', chunk.text.value) - } - } - } - - socketIO.to(socketIOClientId).emit('usedTools', usedTools) } catch (error) { console.error('Error submitting tool outputs:', error) await openai.beta.threads.runs.cancel(threadId, runThreadId) @@ -535,6 +587,7 @@ class OpenAIAssistant_Agents implements INode { return { text, usedTools, + artifacts, fileAnnotations, assistant: { assistantId: openAIAssistantId, threadId, runId: runThreadId, messages: messageData } } @@ -542,94 +595,126 @@ class OpenAIAssistant_Agents implements INode { const promise = (threadId: string, runId: string) => { return new Promise((resolve, reject) => { + const maxWaitTime = 30000 // Maximum wait time of 30 seconds + const startTime = Date.now() + let delay = 500 // Initial delay between retries + const maxRetries = 10 + let retries = 0 + const timeout = setInterval(async () => { - const run = await openai.beta.threads.runs.retrieve(threadId, runId) - const state = run.status - if (state === 'completed') { - clearInterval(timeout) - resolve(state) - } else if (state === 'requires_action') { - if (run.required_action?.submit_tool_outputs.tool_calls) { + try { + const run = await openai.beta.threads.runs.retrieve(threadId, runId) + const state = run.status + + if (state === 'completed') { clearInterval(timeout) - const actions: ICommonObject[] = [] - run.required_action.submit_tool_outputs.tool_calls.forEach((item) => { - const functionCall = item.function - let args = {} - try { - args = JSON.parse(functionCall.arguments) - } catch (e) { - console.error('Error parsing arguments, default to empty object') - } - actions.push({ - tool: functionCall.name, - toolInput: args, - toolCallId: item.id + resolve(state) + } else if (state === 'requires_action') { + if (run.required_action?.submit_tool_outputs.tool_calls) { + clearInterval(timeout) + const actions: ICommonObject[] = [] + run.required_action.submit_tool_outputs.tool_calls.forEach((item) => { + const functionCall = item.function + let args = {} + try { + args = JSON.parse(functionCall.arguments) + } catch (e) { + console.error('Error parsing arguments, default to empty object') + } + actions.push({ + tool: functionCall.name, + toolInput: args, + toolCallId: item.id + }) }) - }) + const submitToolOutputs = [] + for (let i = 0; i < actions.length; i += 1) { + const tool = tools.find((tool: any) => tool.name === actions[i].tool) + if (!tool) continue + + // Start tool analytics + const toolIds = await analyticHandlers.onToolStart(tool.name, actions[i].toolInput, parentIds) + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamToolEvent(chatId, tool.name) + } - const submitToolOutputs = [] - for (let i = 0; i < actions.length; i += 1) { - const tool = tools.find((tool: any) => tool.name === actions[i].tool) - if (!tool) continue + try { + const toolOutput = await tool.call(actions[i].toolInput, undefined, undefined, { + sessionId: threadId, + chatId: options.chatId, + input + }) + await analyticHandlers.onToolEnd(toolIds, toolOutput) + submitToolOutputs.push({ + tool_call_id: actions[i].toolCallId, + output: toolOutput + }) + usedTools.push({ + tool: tool.name, + toolInput: actions[i].toolInput, + toolOutput + }) + } catch (e) { + await analyticHandlers.onToolEnd(toolIds, e) + console.error('Error executing tool', e) + clearInterval(timeout) + reject( + new Error( + `Error processing thread: ${state}, Thread ID: ${threadId}, Run ID: ${runId}, Tool: ${tool.name}` + ) + ) + return + } + } - // Start tool analytics - const toolIds = await analyticHandlers.onToolStart(tool.name, actions[i].toolInput, parentIds) - if (socketIO && socketIOClientId) socketIO.to(socketIOClientId).emit('tool', tool.name) + const newRun = await openai.beta.threads.runs.retrieve(threadId, runId) + const newStatus = newRun?.status try { - const toolOutput = await tool.call(actions[i].toolInput, undefined, undefined, { - sessionId: threadId, - chatId: options.chatId, - input - }) - await analyticHandlers.onToolEnd(toolIds, toolOutput) - submitToolOutputs.push({ - tool_call_id: actions[i].toolCallId, - output: toolOutput - }) - usedTools.push({ - tool: tool.name, - toolInput: actions[i].toolInput, - toolOutput - }) + if (submitToolOutputs.length && newStatus === 'requires_action') { + await openai.beta.threads.runs.submitToolOutputs(threadId, runId, { + tool_outputs: submitToolOutputs + }) + resolve(state) + } else { + await openai.beta.threads.runs.cancel(threadId, runId) + resolve('requires_action_retry') + } } catch (e) { - await analyticHandlers.onToolEnd(toolIds, e) - console.error('Error executing tool', e) clearInterval(timeout) reject( - new Error( - `Error processing thread: ${state}, Thread ID: ${threadId}, Run ID: ${runId}, Tool: ${tool.name}` - ) + new Error(`Error submitting tool outputs: ${state}, Thread ID: ${threadId}, Run ID: ${runId}`) ) - break } } - - const newRun = await openai.beta.threads.runs.retrieve(threadId, runId) - const newStatus = newRun?.status - - try { - if (submitToolOutputs.length && newStatus === 'requires_action') { - await openai.beta.threads.runs.submitToolOutputs(threadId, runId, { - tool_outputs: submitToolOutputs - }) - resolve(state) - } else { - await openai.beta.threads.runs.cancel(threadId, runId) - resolve('requires_action_retry') - } - } catch (e) { - clearInterval(timeout) - reject(new Error(`Error submitting tool outputs: ${state}, Thread ID: ${threadId}, Run ID: ${runId}`)) - } + } else if (state === 'cancelled' || state === 'expired' || state === 'failed') { + clearInterval(timeout) + reject( + new Error( + `Error processing thread: ${state}, Thread ID: ${threadId}, Run ID: ${runId}, Status: ${state}` + ) + ) } - } else if (state === 'cancelled' || state === 'expired' || state === 'failed') { + } catch (error: any) { + if (error.response?.status === 404 || error.response?.status === 429) { + clearInterval(timeout) + reject(new Error(`API error: ${error.response?.status} for Thread ID: ${threadId}, Run ID: ${runId}`)) + } else if (retries < maxRetries) { + retries++ + delay *= 2 // Exponential backoff + console.warn(`Transient error, retrying in ${delay}ms...`) + } else { + clearInterval(timeout) + reject(new Error(`Max retries reached. Error: ${error.message}`)) + } + } + + // Stop the loop if maximum wait time is exceeded + if (Date.now() - startTime > maxWaitTime) { clearInterval(timeout) - reject( - new Error(`Error processing thread: ${state}, Thread ID: ${threadId}, Run ID: ${runId}, Status: ${state}`) - ) + reject(new Error('Timeout waiting for thread to finish.')) } - }, 500) + }, delay) }) } @@ -737,12 +822,8 @@ class OpenAIAssistant_Agents implements INode { const fileId = content.image_file.file_id const fileObj = await openai.files.retrieve(fileId) - const buffer = await downloadImg(openai, fileId, `${fileObj.filename}.png`, options.chatflowid, options.chatId) - const base64String = Buffer.from(buffer).toString('base64') - - // TODO: Use a file path and retrieve image on the fly. Storing as base64 to localStorage and database will easily hit limits - const imgHTML = `${fileObj.filename}
` - returnVal += imgHTML + const filePath = await downloadImg(openai, fileId, `${fileObj.filename}.png`, options.chatflowid, options.chatId) + artifacts.push({ type: 'png', data: filePath }) } } @@ -755,6 +836,7 @@ class OpenAIAssistant_Agents implements INode { return { text: returnVal, usedTools, + artifacts, fileAnnotations, assistant: { assistantId: openAIAssistantId, threadId, runId: runThreadId, messages: messageData } } @@ -775,9 +857,9 @@ const downloadImg = async (openai: OpenAI, fileId: string, fileName: string, ... const image_data_buffer = Buffer.from(image_data) const mime = 'image/png' - await addSingleFileToStorage(mime, image_data_buffer, fileName, ...paths) + const res = await addSingleFileToStorage(mime, image_data_buffer, fileName, ...paths) - return image_data_buffer + return res } const downloadFile = async (openAIApiKey: string, fileObj: any, fileName: string, ...paths: string[]) => { @@ -805,15 +887,212 @@ const downloadFile = async (openAIApiKey: string, fileObj: any, fileName: string } } +interface ToolSubmissionParams { + openai: OpenAI + threadId: string + runThreadId: string + submitToolOutputs: any[] + tools: any[] + analyticHandlers: AnalyticHandler + parentIds: ICommonObject + llmIds: ICommonObject + sseStreamer: IServerSideEventStreamer + chatId: string + options: ICommonObject + input: string + usedTools: IUsedTool[] + text: string + isStreamingStarted: boolean +} + +interface ToolSubmissionResult { + text: string + isStreamingStarted: boolean +} + +async function handleToolSubmission(params: ToolSubmissionParams): Promise { + const { + openai, + threadId, + runThreadId, + submitToolOutputs, + tools, + analyticHandlers, + parentIds, + llmIds, + sseStreamer, + chatId, + options, + input, + usedTools + } = params + + let updatedText = params.text + let updatedIsStreamingStarted = params.isStreamingStarted + + const stream = openai.beta.threads.runs.submitToolOutputsStream(threadId, runThreadId, { + tool_outputs: submitToolOutputs + }) + + try { + for await (const event of stream) { + if (event.event === 'thread.message.delta') { + const chunk = event.data.delta.content?.[0] + if (chunk && 'text' in chunk && chunk.text?.value) { + updatedText += chunk.text.value + if (!updatedIsStreamingStarted) { + updatedIsStreamingStarted = true + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.text.value) + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.text.value) + } + } + } else if (event.event === 'thread.run.requires_action') { + if (event.data.required_action?.submit_tool_outputs.tool_calls) { + const actions: ICommonObject[] = [] + + event.data.required_action.submit_tool_outputs.tool_calls.forEach((item) => { + const functionCall = item.function + let args = {} + try { + args = JSON.parse(functionCall.arguments) + } catch (e) { + console.error('Error parsing arguments, default to empty object') + } + actions.push({ + tool: functionCall.name, + toolInput: args, + toolCallId: item.id + }) + }) + + const nestedToolOutputs = [] + for (let i = 0; i < actions.length; i += 1) { + const tool = tools.find((tool: any) => tool.name === actions[i].tool) + if (!tool) continue + + const toolIds = await analyticHandlers.onToolStart(tool.name, actions[i].toolInput, parentIds) + + try { + const toolOutput = await tool.call(actions[i].toolInput, undefined, undefined, { + sessionId: threadId, + chatId: options.chatId, + input + }) + await analyticHandlers.onToolEnd(toolIds, toolOutput) + nestedToolOutputs.push({ + tool_call_id: actions[i].toolCallId, + output: toolOutput + }) + usedTools.push({ + tool: tool.name, + toolInput: actions[i].toolInput, + toolOutput + }) + } catch (e) { + await analyticHandlers.onToolEnd(toolIds, e) + console.error('Error executing tool', e) + throw new Error(`Error executing tool. Tool: ${tool.name}. Thread ID: ${threadId}. Run ID: ${runThreadId}`) + } + } + + // Recursively handle nested tool submissions + const result = await handleToolSubmission({ + openai, + threadId, + runThreadId, + submitToolOutputs: nestedToolOutputs, + tools, + analyticHandlers, + parentIds, + llmIds, + sseStreamer, + chatId, + options, + input, + usedTools, + text: updatedText, + isStreamingStarted: updatedIsStreamingStarted + }) + updatedText = result.text + updatedIsStreamingStarted = result.isStreamingStarted + } + } + } + + if (sseStreamer) { + sseStreamer.streamUsedToolsEvent(chatId, usedTools) + } + + return { + text: updatedText, + isStreamingStarted: updatedIsStreamingStarted + } + } catch (error) { + console.error('Error submitting tool outputs:', error) + await openai.beta.threads.runs.cancel(threadId, runThreadId) + + const errMsg = `Error submitting tool outputs. Thread ID: ${threadId}. Run ID: ${runThreadId}` + + await analyticHandlers.onLLMError(llmIds, errMsg) + await analyticHandlers.onChainError(parentIds, errMsg, true) + + throw new Error(errMsg) + } +} + +interface JSONSchema { + type?: string + properties?: Record + additionalProperties?: boolean + required?: string[] + [key: string]: any +} + const formatToOpenAIAssistantTool = (tool: any): OpenAI.Beta.FunctionTool => { - return { + const parameters = zodToJsonSchema(tool.schema) as JSONSchema + + // For strict tools, we need to: + // 1. Set additionalProperties to false + // 2. Make all parameters required + // 3. Set the strict flag + if (tool instanceof DynamicStructuredTool && tool.isStrict()) { + // Get all property names from the schema + const properties = parameters.properties || {} + const allPropertyNames = Object.keys(properties) + + parameters.additionalProperties = false + parameters.required = allPropertyNames + + // Handle nested objects + for (const [_, prop] of Object.entries(properties)) { + if (prop.type === 'object') { + prop.additionalProperties = false + if (prop.properties) { + prop.required = Object.keys(prop.properties) + } + } + } + } + + const functionTool: OpenAI.Beta.FunctionTool = { type: 'function', function: { name: tool.name, description: tool.description, - parameters: zodToJsonSchema(tool.schema) + parameters } } + + // Add strict property if the tool is marked as strict + if (tool instanceof DynamicStructuredTool && tool.isStrict()) { + ;(functionTool.function as any).strict = true + } + + return functionTool } module.exports = { nodeClass: OpenAIAssistant_Agents } diff --git a/packages/components/nodes/agents/ReActAgentChat/ReActAgentChat.ts b/packages/components/nodes/agents/ReActAgentChat/ReActAgentChat.ts index 227f1070675..c0732d3f713 100644 --- a/packages/components/nodes/agents/ReActAgentChat/ReActAgentChat.ts +++ b/packages/components/nodes/agents/ReActAgentChat/ReActAgentChat.ts @@ -88,7 +88,9 @@ class ReActAgentChat_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } diff --git a/packages/components/nodes/agents/ReActAgentLLM/ReActAgentLLM.ts b/packages/components/nodes/agents/ReActAgentLLM/ReActAgentLLM.ts index 7547c807d91..1ab071f712e 100644 --- a/packages/components/nodes/agents/ReActAgentLLM/ReActAgentLLM.ts +++ b/packages/components/nodes/agents/ReActAgentLLM/ReActAgentLLM.ts @@ -77,7 +77,9 @@ class ReActAgentLLM_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } @@ -95,7 +97,7 @@ class ReActAgentLLM_Agents implements INode { const executor = new AgentExecutor({ agent, tools, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', maxIterations: maxIterations ? parseFloat(maxIterations) : undefined }) diff --git a/packages/components/nodes/agents/ToolAgent/ToolAgent.ts b/packages/components/nodes/agents/ToolAgent/ToolAgent.ts index 3bf3b2726eb..5ed93c620a5 100644 --- a/packages/components/nodes/agents/ToolAgent/ToolAgent.ts +++ b/packages/components/nodes/agents/ToolAgent/ToolAgent.ts @@ -1,4 +1,5 @@ import { flatten } from 'lodash' +import { Tool } from '@langchain/core/tools' import { BaseMessage } from '@langchain/core/messages' import { ChainValues } from '@langchain/core/utils/types' import { RunnableSequence } from '@langchain/core/runnables' @@ -6,8 +7,23 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models' import { ChatPromptTemplate, MessagesPlaceholder, HumanMessagePromptTemplate, PromptTemplate } from '@langchain/core/prompts' import { formatToOpenAIToolMessages } from 'langchain/agents/format_scratchpad/openai_tools' import { type ToolsAgentStep } from 'langchain/agents/openai/output_parser' -import { getBaseClasses } from '../../../src/utils' -import { FlowiseMemory, ICommonObject, INode, INodeData, INodeParams, IUsedTool, IVisionChatModal } from '../../../src/Interface' +import { + extractOutputFromArray, + getBaseClasses, + handleEscapeCharacters, + removeInvalidImageMarkdown, + transformBracesWithColon +} from '../../../src/utils' +import { + FlowiseMemory, + ICommonObject, + INode, + INodeData, + INodeParams, + IServerSideEventStreamer, + IUsedTool, + IVisionChatModal +} from '../../../src/Interface' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { AgentExecutor, ToolCallingAgentOutputParser } from '../../../src/agents' import { Moderation, checkInputs, streamResponse } from '../../moderation/Moderation' @@ -25,12 +41,11 @@ class ToolAgent_Agents implements INode { baseClasses: string[] inputs: INodeParams[] sessionId?: string - badge?: string constructor(fields?: { sessionId?: string }) { this.label = 'Tool Agent' this.name = 'toolAgent' - this.version = 1.0 + this.version = 2.0 this.type = 'AgentExecutor' this.category = 'Agents' this.icon = 'toolAgent.png' @@ -56,21 +71,21 @@ class ToolAgent_Agents implements INode { 'Only compatible with models that are capable of function calling: ChatOpenAI, ChatMistral, ChatAnthropic, ChatGoogleGenerativeAI, ChatVertexAI, GroqChat' }, { - label: 'Prompt', - name: 'prompt', - type: 'BasePromptTemplate', - optional: true, - description: 'Custom prompt for the agent. If not provided, default system message will be used' + label: 'Chat Prompt Template', + name: 'chatPromptTemplate', + type: 'ChatPromptTemplate', + description: 'Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable', + optional: true }, { label: 'System Message', name: 'systemMessage', type: 'string', default: `You are a helpful AI assistant.`, + description: 'If Chat Prompt Template is provided, this will be ignored', rows: 4, optional: true, - additionalParams: true, - description: 'Used only if no custom prompt is provided' + additionalParams: true }, { label: 'Input Moderation', @@ -99,7 +114,9 @@ class ToolAgent_Agents implements INode { const memory = nodeData.inputs?.memory as FlowiseMemory const moderations = nodeData.inputs?.inputModeration as Moderation[] - const isStreamable = options.socketIO && options.socketIOClientId + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId if (moderations && moderations.length > 0) { try { @@ -107,8 +124,9 @@ class ToolAgent_Agents implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - if (isStreamable) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -121,18 +139,40 @@ class ToolAgent_Agents implements INode { let res: ChainValues = {} let sourceDocuments: ICommonObject[] = [] let usedTools: IUsedTool[] = [] + let artifacts = [] - if (isStreamable) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) res = await executor.invoke({ input }, { callbacks: [loggerHandler, handler, ...callbacks] }) if (res.sourceDocuments) { - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', flatten(res.sourceDocuments)) + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, flatten(res.sourceDocuments)) + } sourceDocuments = res.sourceDocuments } if (res.usedTools) { - options.socketIO.to(options.socketIOClientId).emit('usedTools', res.usedTools) + if (sseStreamer) { + sseStreamer.streamUsedToolsEvent(chatId, flatten(res.usedTools)) + } usedTools = res.usedTools } + if (res.artifacts) { + if (sseStreamer) { + sseStreamer.streamArtifactsEvent(chatId, flatten(res.artifacts)) + } + artifacts = res.artifacts + } + // If the tool is set to returnDirect, stream the output to the client + if (res.usedTools && res.usedTools.length) { + let inputTools = nodeData.inputs?.tools + inputTools = flatten(inputTools) + for (const tool of res.usedTools) { + const inputTool = inputTools.find((inputTool: Tool) => inputTool.name === tool.tool) + if (inputTool && inputTool.returnDirect && shouldStreamResponse) { + sseStreamer.streamTokenEvent(chatId, tool.toolOutput) + } + } + } } else { res = await executor.invoke({ input }, { callbacks: [loggerHandler, ...callbacks] }) if (res.sourceDocuments) { @@ -141,16 +181,17 @@ class ToolAgent_Agents implements INode { if (res.usedTools) { usedTools = res.usedTools } + if (res.artifacts) { + artifacts = res.artifacts + } } let output = res?.output - if (Array.isArray(output)) { - output = output[0]?.text || '' - } else if (typeof output === 'object') { - output = output?.text || '' - } + output = extractOutputFromArray(res?.output) + output = removeInvalidImageMarkdown(output) // Claude 3 Opus tends to spit out .. as well, discard that in final output + // https://docs.anthropic.com/en/docs/build-with-claude/tool-use#chain-of-thought const regexPattern: RegExp = /[\s\S]*?<\/thinking>/ const matches: RegExpMatchArray | null = output.match(regexPattern) if (matches) { @@ -175,7 +216,7 @@ class ToolAgent_Agents implements INode { let finalRes = output - if (sourceDocuments.length || usedTools.length) { + if (sourceDocuments.length || usedTools.length || artifacts.length) { const finalRes: ICommonObject = { text: output } if (sourceDocuments.length) { finalRes.sourceDocuments = flatten(sourceDocuments) @@ -183,6 +224,9 @@ class ToolAgent_Agents implements INode { if (usedTools.length) { finalRes.usedTools = usedTools } + if (artifacts.length) { + finalRes.artifacts = artifacts + } return finalRes } @@ -198,41 +242,45 @@ const prepareAgent = async ( const model = nodeData.inputs?.model as BaseChatModel const maxIterations = nodeData.inputs?.maxIterations as string const memory = nodeData.inputs?.memory as FlowiseMemory - const systemMessage = nodeData.inputs?.systemMessage as string - const customPrompt = nodeData.inputs?.prompt + let systemMessage = nodeData.inputs?.systemMessage as string let tools = nodeData.inputs?.tools tools = flatten(tools) const memoryKey = memory.memoryKey ? memory.memoryKey : 'chat_history' const inputKey = memory.inputKey ? memory.inputKey : 'input' const prependMessages = options?.prependMessages - let prompt: ChatPromptTemplate + systemMessage = transformBracesWithColon(systemMessage) - if (customPrompt) { - if (customPrompt instanceof ChatPromptTemplate) { - prompt = customPrompt - if (!prompt.promptMessages.some((msg) => msg instanceof MessagesPlaceholder && msg.variableName === 'agent_scratchpad')) { - prompt.promptMessages.push(new MessagesPlaceholder('agent_scratchpad')) - } - } else if (customPrompt instanceof PromptTemplate) { - // Convert PromptTemplate to ChatPromptTemplate - prompt = ChatPromptTemplate.fromMessages([ - ['system', systemMessage], - new MessagesPlaceholder(memoryKey), - HumanMessagePromptTemplate.fromTemplate(`{${inputKey}}`), - new MessagesPlaceholder('agent_scratchpad') - ]) - } else { - throw new Error('Unsupported prompt type. Please use ChatPromptTemplate or PromptTemplate.') - } - } else { - // Use default prompt - prompt = ChatPromptTemplate.fromMessages([ - ['system', systemMessage], + let prompt = ChatPromptTemplate.fromMessages([ + ['system', systemMessage], + new MessagesPlaceholder(memoryKey), + ['human', `{${inputKey}}`], + new MessagesPlaceholder('agent_scratchpad') + ]) + + let promptVariables = {} + const chatPromptTemplate = nodeData.inputs?.chatPromptTemplate as ChatPromptTemplate + if (chatPromptTemplate && chatPromptTemplate.promptMessages.length) { + const humanPrompt = chatPromptTemplate.promptMessages[chatPromptTemplate.promptMessages.length - 1] + const messages = [ + ...chatPromptTemplate.promptMessages.slice(0, -1), new MessagesPlaceholder(memoryKey), - ['human', `{${inputKey}}`], + humanPrompt, new MessagesPlaceholder('agent_scratchpad') - ]) + ] + prompt = ChatPromptTemplate.fromMessages(messages) + if ((chatPromptTemplate as any).promptValues) { + const promptValuesRaw = (chatPromptTemplate as any).promptValues + const promptValues = handleEscapeCharacters(promptValuesRaw, true) + for (const val in promptValues) { + promptVariables = { + ...promptVariables, + [val]: () => { + return promptValues[val] + } + } + } + } } if (llmSupportsVision(model)) { @@ -274,7 +322,31 @@ const prepareAgent = async ( if (model.bindTools === undefined) { throw new Error(`This agent requires that the "bindTools()" method be implemented on the input model.`) } + // Filter tools from tools with duplicate names, make sure the logs clearly show what happened + // Check for duplicate tool names and filter them out + // TODO: WE ABSOLUTELY NEED TO FIX THIS + // TODO: Why tools are duplicated? + const initialToolCount = tools.length + const uniqueToolNames = new Set(tools.map((tool: Tool) => tool.name)) + if (initialToolCount > uniqueToolNames.size) { + console.log(`[ToolAgent] Found duplicate tool names. Initial count: ${initialToolCount}, unique count: ${uniqueToolNames.size}`) + const duplicateTools = tools + .map((tool: Tool) => tool.name) + .filter((name: string, index: number, array: string[]) => array.indexOf(name) !== index) + console.log(`[ToolAgent] Duplicate tool names: ${JSON.stringify(duplicateTools)}`) + } + + tools = tools.filter((tool: Tool, index: number, self: Tool[]) => { + const firstIndex = self.findIndex((t) => t.name === tool.name) + const isDuplicate = firstIndex !== index + if (isDuplicate) { + console.log(`[ToolAgent] Filtering out duplicate tool: ${tool.name}`) + } + return firstIndex === index + }) + + console.log(`[ToolAgent] Binding ${tools.length} tools to model: ${tools.map((t: Tool) => t.name).join(', ')}`) const modelWithTools = model.bindTools(tools) const runnableAgent = RunnableSequence.from([ @@ -284,7 +356,8 @@ const prepareAgent = async ( [memoryKey]: async (_: { input: string; steps: ToolsAgentStep[] }) => { const messages = (await memory.getChatMessages(flowObj?.sessionId, true, prependMessages)) as BaseMessage[] return messages ?? [] - } + }, + ...promptVariables }, prompt, modelWithTools, @@ -297,7 +370,7 @@ const prepareAgent = async ( sessionId: flowObj?.sessionId, chatId: flowObj?.chatId, input: flowObj?.input, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', maxIterations: maxIterations ? parseFloat(maxIterations) : undefined }) diff --git a/packages/components/nodes/agents/XMLAgent/XMLAgent.ts b/packages/components/nodes/agents/XMLAgent/XMLAgent.ts index af311fcfbb0..92f46feb560 100644 --- a/packages/components/nodes/agents/XMLAgent/XMLAgent.ts +++ b/packages/components/nodes/agents/XMLAgent/XMLAgent.ts @@ -6,8 +6,17 @@ import { RunnableSequence } from '@langchain/core/runnables' import { Tool } from '@langchain/core/tools' import { ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder } from '@langchain/core/prompts' import { formatLogToMessage } from 'langchain/agents/format_scratchpad/log_to_message' -import { getBaseClasses } from '../../../src/utils' -import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, IUsedTool } from '../../../src/Interface' +import { getBaseClasses, transformBracesWithColon } from '../../../src/utils' +import { + FlowiseMemory, + ICommonObject, + IMessage, + INode, + INodeData, + INodeParams, + IServerSideEventStreamer, + IUsedTool +} from '../../../src/Interface' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { AgentExecutor, XMLAgentOutputParser } from '../../../src/agents' import { Moderation, checkInputs } from '../../moderation/Moderation' @@ -48,7 +57,6 @@ class XMLAgent_Agents implements INode { baseClasses: string[] inputs: INodeParams[] sessionId?: string - badge?: string constructor(fields?: { sessionId?: string }) { this.label = 'XML Agent' @@ -112,13 +120,19 @@ class XMLAgent_Agents implements INode { const memory = nodeData.inputs?.memory as FlowiseMemory const moderations = nodeData.inputs?.inputModeration as Moderation[] + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the OpenAI Function Agent input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } @@ -131,17 +145,34 @@ class XMLAgent_Agents implements INode { let sourceDocuments: ICommonObject[] = [] let usedTools: IUsedTool[] = [] - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) res = await executor.invoke({ input }, { callbacks: [loggerHandler, handler, ...callbacks] }) if (res.sourceDocuments) { - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', flatten(res.sourceDocuments)) + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, flatten(res.sourceDocuments)) + } sourceDocuments = res.sourceDocuments } if (res.usedTools) { - options.socketIO.to(options.socketIOClientId).emit('usedTools', res.usedTools) + if (sseStreamer) { + sseStreamer.streamUsedToolsEvent(chatId, flatten(res.usedTools)) + } usedTools = res.usedTools } + // If the tool is set to returnDirect, stream the output to the client + if (res.usedTools && res.usedTools.length) { + let inputTools = nodeData.inputs?.tools + inputTools = flatten(inputTools) + for (const tool of res.usedTools) { + const inputTool = inputTools.find((inputTool: Tool) => inputTool.name === tool.tool) + if (inputTool && inputTool.returnDirect) { + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, tool.toolOutput) + } + } + } + } } else { res = await executor.invoke({ input }, { callbacks: [loggerHandler, ...callbacks] }) if (res.sourceDocuments) { @@ -191,13 +222,15 @@ const prepareAgent = async ( const model = nodeData.inputs?.model as BaseChatModel const maxIterations = nodeData.inputs?.maxIterations as string const memory = nodeData.inputs?.memory as FlowiseMemory - const systemMessage = nodeData.inputs?.systemMessage as string + let systemMessage = nodeData.inputs?.systemMessage as string let tools = nodeData.inputs?.tools tools = flatten(tools) const inputKey = memory.inputKey ? memory.inputKey : 'input' const memoryKey = memory.memoryKey ? memory.memoryKey : 'chat_history' const prependMessages = options?.prependMessages + systemMessage = transformBracesWithColon(systemMessage) + let promptMessage = systemMessage ? systemMessage : defaultSystemMessage if (memory.memoryKey) promptMessage = promptMessage.replaceAll('{chat_history}', `{${memory.memoryKey}}`) if (memory.inputKey) promptMessage = promptMessage.replaceAll('{input}', `{${memory.inputKey}}`) @@ -245,7 +278,7 @@ const prepareAgent = async ( chatId: flowObj?.chatId, input: flowObj?.input, isXML: true, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', maxIterations: maxIterations ? parseFloat(maxIterations) : undefined }) diff --git a/packages/components/nodes/analytic/Arize/Arize.ts b/packages/components/nodes/analytic/Arize/Arize.ts new file mode 100644 index 00000000000..f04f6017807 --- /dev/null +++ b/packages/components/nodes/analytic/Arize/Arize.ts @@ -0,0 +1,33 @@ +import { INode, INodeParams } from '../../../src/Interface' + +class Arize_Analytic implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs?: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'Arize' + this.name = 'arize' + this.version = 1.0 + this.type = 'Arize' + this.icon = 'arize.png' + this.category = 'Analytic' + this.baseClasses = [this.type] + this.inputs = [] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['arizeApi'] + } + } +} + +module.exports = { nodeClass: Arize_Analytic } diff --git a/packages/components/nodes/analytic/Arize/arize.png b/packages/components/nodes/analytic/Arize/arize.png new file mode 100644 index 00000000000..23c851ce911 Binary files /dev/null and b/packages/components/nodes/analytic/Arize/arize.png differ diff --git a/packages/components/nodes/analytic/Lunary/Lunary.svg b/packages/components/nodes/analytic/Lunary/Lunary.svg index 1528de5a93a..f0900d00e6c 100644 --- a/packages/components/nodes/analytic/Lunary/Lunary.svg +++ b/packages/components/nodes/analytic/Lunary/Lunary.svg @@ -1,7 +1,26 @@ - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/packages/components/nodes/analytic/Phoenix/Phoenix.ts b/packages/components/nodes/analytic/Phoenix/Phoenix.ts new file mode 100644 index 00000000000..4e30a387c77 --- /dev/null +++ b/packages/components/nodes/analytic/Phoenix/Phoenix.ts @@ -0,0 +1,33 @@ +import { INode, INodeParams } from '../../../src/Interface' + +class Phoenix_Analytic implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs?: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'Phoenix' + this.name = 'phoenix' + this.version = 1.0 + this.type = 'Phoenix' + this.icon = 'phoenix.png' + this.category = 'Analytic' + this.baseClasses = [this.type] + this.inputs = [] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['phoenixApi'] + } + } +} + +module.exports = { nodeClass: Phoenix_Analytic } diff --git a/packages/components/nodes/analytic/Phoenix/phoenix.png b/packages/components/nodes/analytic/Phoenix/phoenix.png new file mode 100644 index 00000000000..b25150526b7 Binary files /dev/null and b/packages/components/nodes/analytic/Phoenix/phoenix.png differ diff --git a/packages/components/nodes/cache/InMemoryCache/InMemoryCache.ts b/packages/components/nodes/cache/InMemoryCache/InMemoryCache.ts index bddcfb70c96..0e613834f55 100644 --- a/packages/components/nodes/cache/InMemoryCache/InMemoryCache.ts +++ b/packages/components/nodes/cache/InMemoryCache/InMemoryCache.ts @@ -27,17 +27,17 @@ class InMemoryCache implements INode { } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const memoryMap = options.cachePool.getLLMCache(options.chatflowid) ?? new Map() + const memoryMap = (await options.cachePool.getLLMCache(options.chatflowid)) ?? new Map() const inMemCache = new InMemoryCacheExtended(memoryMap) inMemCache.lookup = async (prompt: string, llmKey: string): Promise => { - const memory = options.cachePool.getLLMCache(options.chatflowid) ?? inMemCache.cache + const memory = (await options.cachePool.getLLMCache(options.chatflowid)) ?? inMemCache.cache return Promise.resolve(memory.get(getCacheKey(prompt, llmKey)) ?? null) } inMemCache.update = async (prompt: string, llmKey: string, value: any): Promise => { inMemCache.cache.set(getCacheKey(prompt, llmKey), value) - options.cachePool.addLLMCache(options.chatflowid, inMemCache.cache) + await options.cachePool.addLLMCache(options.chatflowid, inMemCache.cache) } return inMemCache } diff --git a/packages/components/nodes/cache/InMemoryCache/InMemoryEmbeddingCache.ts b/packages/components/nodes/cache/InMemoryCache/InMemoryEmbeddingCache.ts index de426a72a34..d50bc722922 100644 --- a/packages/components/nodes/cache/InMemoryCache/InMemoryEmbeddingCache.ts +++ b/packages/components/nodes/cache/InMemoryCache/InMemoryEmbeddingCache.ts @@ -43,11 +43,11 @@ class InMemoryEmbeddingCache implements INode { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const namespace = nodeData.inputs?.namespace as string const underlyingEmbeddings = nodeData.inputs?.embeddings as Embeddings - const memoryMap = options.cachePool.getEmbeddingCache(options.chatflowid) ?? {} + const memoryMap = (await options.cachePool.getEmbeddingCache(options.chatflowid)) ?? {} const inMemCache = new InMemoryEmbeddingCacheExtended(memoryMap) inMemCache.mget = async (keys: string[]) => { - const memory = options.cachePool.getEmbeddingCache(options.chatflowid) ?? inMemCache.store + const memory = (await options.cachePool.getEmbeddingCache(options.chatflowid)) ?? inMemCache.store return keys.map((key) => memory[key]) } @@ -55,14 +55,14 @@ class InMemoryEmbeddingCache implements INode { for (const [key, value] of keyValuePairs) { inMemCache.store[key] = value } - options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store) + await options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store) } inMemCache.mdelete = async (keys: string[]): Promise => { for (const key of keys) { delete inMemCache.store[key] } - options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store) + await options.cachePool.addEmbeddingCache(options.chatflowid, inMemCache.store) } return CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, inMemCache, { diff --git a/packages/components/nodes/cache/RedisCache/RedisCache.ts b/packages/components/nodes/cache/RedisCache/RedisCache.ts index c43a9562474..6646575f8c9 100644 --- a/packages/components/nodes/cache/RedisCache/RedisCache.ts +++ b/packages/components/nodes/cache/RedisCache/RedisCache.ts @@ -1,47 +1,10 @@ -import { Redis, RedisOptions } from 'ioredis' -import { isEqual } from 'lodash' +import { Redis } from 'ioredis' import hash from 'object-hash' import { RedisCache as LangchainRedisCache } from '@langchain/community/caches/ioredis' import { StoredGeneration, mapStoredMessageToChatMessage } from '@langchain/core/messages' import { Generation, ChatGeneration } from '@langchain/core/outputs' import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src' -let redisClientSingleton: Redis -let redisClientOption: RedisOptions -let redisClientUrl: string - -const getRedisClientbyOption = (option: RedisOptions) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } else if (redisClientSingleton && !isEqual(option, redisClientOption)) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } - return redisClientSingleton -} - -const getRedisClientbyUrl = (url: string) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } else if (redisClientSingleton && url !== redisClientUrl) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } - return redisClientSingleton -} - class RedisCache implements INode { label: string name: string @@ -85,33 +48,19 @@ class RedisCache implements INode { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const ttl = nodeData.inputs?.ttl as string - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData) - - let client: Redis - if (!redisUrl || redisUrl === '') { - const username = getCredentialParam('redisCacheUser', credentialData, nodeData) - const password = getCredentialParam('redisCachePwd', credentialData, nodeData) - const portStr = getCredentialParam('redisCachePort', credentialData, nodeData) - const host = getCredentialParam('redisCacheHost', credentialData, nodeData) - const sslEnabled = getCredentialParam('redisCacheSslEnabled', credentialData, nodeData) - - const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {} - - client = getRedisClientbyOption({ - port: portStr ? parseInt(portStr) : 6379, - host, - username, - password, - ...tlsOptions - }) - } else { - client = getRedisClientbyUrl(redisUrl) - } - + let client = await getRedisClient(nodeData, options) const redisClient = new LangchainRedisCache(client) redisClient.lookup = async (prompt: string, llmKey: string) => { + try { + const pingResp = await client.ping() + if (pingResp !== 'PONG') { + client = await getRedisClient(nodeData, options) + } + } catch (error) { + client = await getRedisClient(nodeData, options) + } + let idx = 0 let key = getCacheKey(prompt, llmKey, String(idx)) let value = await client.get(key) @@ -125,10 +74,21 @@ class RedisCache implements INode { value = await client.get(key) } + client.quit() + return generations.length > 0 ? generations : null } redisClient.update = async (prompt: string, llmKey: string, value: Generation[]) => { + try { + const pingResp = await client.ping() + if (pingResp !== 'PONG') { + client = await getRedisClient(nodeData, options) + } + } catch (error) { + client = await getRedisClient(nodeData, options) + } + for (let i = 0; i < value.length; i += 1) { const key = getCacheKey(prompt, llmKey, String(i)) if (ttl) { @@ -137,12 +97,43 @@ class RedisCache implements INode { await client.set(key, JSON.stringify(serializeGeneration(value[i]))) } } + + client.quit() } + client.quit() + return redisClient } } +const getRedisClient = async (nodeData: INodeData, options: ICommonObject) => { + let client: Redis + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData) + + if (!redisUrl || redisUrl === '') { + const username = getCredentialParam('redisCacheUser', credentialData, nodeData) + const password = getCredentialParam('redisCachePwd', credentialData, nodeData) + const portStr = getCredentialParam('redisCachePort', credentialData, nodeData) + const host = getCredentialParam('redisCacheHost', credentialData, nodeData) + const sslEnabled = getCredentialParam('redisCacheSslEnabled', credentialData, nodeData) + + const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {} + + client = new Redis({ + port: portStr ? parseInt(portStr) : 6379, + host, + username, + password, + ...tlsOptions + }) + } else { + client = new Redis(redisUrl) + } + return client +} const getCacheKey = (...strings: string[]): string => hash(strings.join('_')) const deserializeStoredGeneration = (storedGeneration: StoredGeneration) => { if (storedGeneration.message !== undefined) { diff --git a/packages/components/nodes/cache/RedisCache/RedisEmbeddingsCache.ts b/packages/components/nodes/cache/RedisCache/RedisEmbeddingsCache.ts index 807d10b0016..1e4ed86c89d 100644 --- a/packages/components/nodes/cache/RedisCache/RedisEmbeddingsCache.ts +++ b/packages/components/nodes/cache/RedisCache/RedisEmbeddingsCache.ts @@ -1,45 +1,11 @@ -import { Redis, RedisOptions } from 'ioredis' -import { isEqual } from 'lodash' +import { Redis } from 'ioredis' import { RedisByteStore } from '@langchain/community/storage/ioredis' -import { Embeddings } from '@langchain/core/embeddings' -import { CacheBackedEmbeddings } from 'langchain/embeddings/cache_backed' +import { Embeddings, EmbeddingsInterface } from '@langchain/core/embeddings' +import { CacheBackedEmbeddingsFields } from 'langchain/embeddings/cache_backed' import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src' - -let redisClientSingleton: Redis -let redisClientOption: RedisOptions -let redisClientUrl: string - -const getRedisClientbyOption = (option: RedisOptions) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } else if (redisClientSingleton && !isEqual(option, redisClientOption)) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } - return redisClientSingleton -} - -const getRedisClientbyUrl = (url: string) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } else if (redisClientSingleton && url !== redisClientUrl) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } - return redisClientSingleton -} +import { BaseStore } from '@langchain/core/stores' +import { insecureHash } from '@langchain/core/utils/hash' +import { Document } from '@langchain/core/documents' class RedisEmbeddingsCache implements INode { label: string @@ -112,7 +78,7 @@ class RedisEmbeddingsCache implements INode { const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {} - client = getRedisClientbyOption({ + client = new Redis({ port: portStr ? parseInt(portStr) : 6379, host, username, @@ -120,7 +86,7 @@ class RedisEmbeddingsCache implements INode { ...tlsOptions }) } else { - client = getRedisClientbyUrl(redisUrl) + client = new Redis(redisUrl) } ttl ??= '3600' @@ -130,10 +96,143 @@ class RedisEmbeddingsCache implements INode { ttl: ttlNumber }) - return CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, redisStore, { - namespace: namespace + const store = CacheBackedEmbeddings.fromBytesStore(underlyingEmbeddings, redisStore, { + namespace: namespace, + redisClient: client + }) + + return store + } +} + +class CacheBackedEmbeddings extends Embeddings { + protected underlyingEmbeddings: EmbeddingsInterface + + protected documentEmbeddingStore: BaseStore + + protected redisClient?: Redis + + constructor(fields: CacheBackedEmbeddingsFields & { redisClient?: Redis }) { + super(fields) + this.underlyingEmbeddings = fields.underlyingEmbeddings + this.documentEmbeddingStore = fields.documentEmbeddingStore + this.redisClient = fields.redisClient + } + + async embedQuery(document: string): Promise { + const res = this.underlyingEmbeddings.embedQuery(document) + this.redisClient?.quit() + return res + } + + async embedDocuments(documents: string[]): Promise { + const vectors = await this.documentEmbeddingStore.mget(documents) + const missingIndicies = [] + const missingDocuments = [] + for (let i = 0; i < vectors.length; i += 1) { + if (vectors[i] === undefined) { + missingIndicies.push(i) + missingDocuments.push(documents[i]) + } + } + if (missingDocuments.length) { + const missingVectors = await this.underlyingEmbeddings.embedDocuments(missingDocuments) + const keyValuePairs: [string, number[]][] = missingDocuments.map((document, i) => [document, missingVectors[i]]) + await this.documentEmbeddingStore.mset(keyValuePairs) + for (let i = 0; i < missingIndicies.length; i += 1) { + vectors[missingIndicies[i]] = missingVectors[i] + } + } + this.redisClient?.quit() + return vectors as number[][] + } + + static fromBytesStore( + underlyingEmbeddings: EmbeddingsInterface, + documentEmbeddingStore: BaseStore, + options?: { + namespace?: string + redisClient?: Redis + } + ) { + const encoder = new TextEncoder() + const decoder = new TextDecoder() + const encoderBackedStore = new EncoderBackedStore({ + store: documentEmbeddingStore, + keyEncoder: (key) => (options?.namespace ?? '') + insecureHash(key), + valueSerializer: (value) => encoder.encode(JSON.stringify(value)), + valueDeserializer: (serializedValue) => JSON.parse(decoder.decode(serializedValue)) + }) + return new this({ + underlyingEmbeddings, + documentEmbeddingStore: encoderBackedStore, + redisClient: options?.redisClient + }) + } +} + +class EncoderBackedStore extends BaseStore { + lc_namespace = ['langchain', 'storage'] + + store: BaseStore + + keyEncoder: (key: K) => string + + valueSerializer: (value: V) => SerializedType + + valueDeserializer: (value: SerializedType) => V + + constructor(fields: { + store: BaseStore + keyEncoder: (key: K) => string + valueSerializer: (value: V) => SerializedType + valueDeserializer: (value: SerializedType) => V + }) { + super(fields) + this.store = fields.store + this.keyEncoder = fields.keyEncoder + this.valueSerializer = fields.valueSerializer + this.valueDeserializer = fields.valueDeserializer + } + + async mget(keys: K[]): Promise<(V | undefined)[]> { + const encodedKeys = keys.map(this.keyEncoder) + const values = await this.store.mget(encodedKeys) + return values.map((value) => { + if (value === undefined) { + return undefined + } + return this.valueDeserializer(value) }) } + + async mset(keyValuePairs: [K, V][]): Promise { + const encodedPairs: [string, SerializedType][] = keyValuePairs.map(([key, value]) => [ + this.keyEncoder(key), + this.valueSerializer(value) + ]) + return this.store.mset(encodedPairs) + } + + async mdelete(keys: K[]): Promise { + const encodedKeys = keys.map(this.keyEncoder) + return this.store.mdelete(encodedKeys) + } + + async *yieldKeys(prefix?: string | undefined): AsyncGenerator { + yield* this.store.yieldKeys(prefix) + } +} + +export function createDocumentStoreFromByteStore(store: BaseStore) { + const encoder = new TextEncoder() + const decoder = new TextDecoder() + return new EncoderBackedStore({ + store, + keyEncoder: (key: string) => key, + valueSerializer: (doc: Document) => encoder.encode(JSON.stringify({ pageContent: doc.pageContent, metadata: doc.metadata })), + valueDeserializer: (bytes: Uint8Array) => new Document(JSON.parse(decoder.decode(bytes))) + }) } module.exports = { nodeClass: RedisEmbeddingsCache } diff --git a/packages/components/nodes/chains/ApiChain/GETApiChain.ts b/packages/components/nodes/chains/ApiChain/GETApiChain.ts index cdf78ffc837..222970f44c5 100644 --- a/packages/components/nodes/chains/ApiChain/GETApiChain.ts +++ b/packages/components/nodes/chains/ApiChain/GETApiChain.ts @@ -2,7 +2,7 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { PromptTemplate } from '@langchain/core/prompts' import { APIChain } from 'langchain/chains' import { getBaseClasses } from '../../../src/utils' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' export const API_URL_RAW_PROMPT_TEMPLATE = `You are given the below API Documentation: @@ -100,9 +100,12 @@ class GETApiChain_Chains implements INode { const chain = await getAPIChain(apiDocs, model, headers, urlPrompt, ansPrompt) const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.run(input, [loggerHandler, handler, ...callbacks]) return res } else { @@ -126,7 +129,7 @@ const getAPIChain = async (documents: string, llm: BaseLanguageModel, headers: s const chain = APIChain.fromLLMAndAPIDocs(llm, documents, { apiUrlPrompt, apiResponsePrompt, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', headers: typeof headers === 'object' ? headers : headers ? JSON.parse(headers) : {} }) return chain diff --git a/packages/components/nodes/chains/ApiChain/OpenAPIChain.ts b/packages/components/nodes/chains/ApiChain/OpenAPIChain.ts index 27c1fe007e3..b5314ffe3db 100644 --- a/packages/components/nodes/chains/ApiChain/OpenAPIChain.ts +++ b/packages/components/nodes/chains/ApiChain/OpenAPIChain.ts @@ -1,5 +1,5 @@ import { APIChain, createOpenAPIChain } from 'langchain/chains' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' @@ -74,18 +74,24 @@ class OpenApiChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) const moderations = nodeData.inputs?.inputModeration as Moderation[] + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the OpenAPI chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.run(input, [loggerHandler, handler, ...callbacks]) return res } else { @@ -122,7 +128,7 @@ const initChain = async (nodeData: INodeData, options: ICommonObject) => { return await createOpenAPIChain(yamlString, { llm: model, headers: typeof headers === 'object' ? headers : headers ? JSON.parse(headers) : {}, - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) } diff --git a/packages/components/nodes/chains/ApiChain/POSTApiChain.ts b/packages/components/nodes/chains/ApiChain/POSTApiChain.ts index e6f0bd34994..da033d2d24f 100644 --- a/packages/components/nodes/chains/ApiChain/POSTApiChain.ts +++ b/packages/components/nodes/chains/ApiChain/POSTApiChain.ts @@ -2,7 +2,7 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { PromptTemplate } from '@langchain/core/prompts' import { API_RESPONSE_RAW_PROMPT_TEMPLATE, API_URL_RAW_PROMPT_TEMPLATE, APIChain } from './postCore' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' class POSTApiChain_Chains implements INode { @@ -90,8 +90,12 @@ class POSTApiChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2) + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.run(input, [loggerHandler, handler, ...callbacks]) return res } else { @@ -115,7 +119,7 @@ const getAPIChain = async (documents: string, llm: BaseLanguageModel, headers: s const chain = APIChain.fromLLMAndAPIDocs(llm, documents, { apiUrlPrompt, apiResponsePrompt, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', headers: typeof headers === 'object' ? headers : headers ? JSON.parse(headers) : {} }) return chain diff --git a/packages/components/nodes/chains/ConversationChain/ConversationChain.ts b/packages/components/nodes/chains/ConversationChain/ConversationChain.ts index 73dc9c68c71..f0d3de7aa55 100644 --- a/packages/components/nodes/chains/ConversationChain/ConversationChain.ts +++ b/packages/components/nodes/chains/ConversationChain/ConversationChain.ts @@ -23,10 +23,11 @@ import { INode, INodeData, INodeParams, - MessageContentImageUrl + MessageContentImageUrl, + IServerSideEventStreamer } from '../../../src/Interface' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { getBaseClasses, handleEscapeCharacters } from '../../../src/utils' +import { getBaseClasses, handleEscapeCharacters, transformBracesWithColon } from '../../../src/utils' let systemMessage = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.` const inputKey = 'input' @@ -114,13 +115,19 @@ class ConversationChain_Chains implements INode { const chain = await prepareChain(nodeData, options, this.sessionId) const moderations = nodeData.inputs?.inputModeration as Moderation[] + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the LLM chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(options.sseStreamer, options.chatId, e.message) + } return formatResponse(e.message) } } @@ -135,8 +142,8 @@ class ConversationChain_Chains implements INode { callbacks.push(new LCConsoleCallbackHandler()) } - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) callbacks.push(handler) res = await chain.invoke({ input }, { callbacks }) } else { @@ -163,7 +170,8 @@ class ConversationChain_Chains implements INode { const prepareChatPrompt = (nodeData: INodeData, humanImageMessages: MessageContentImageUrl[]) => { const memory = nodeData.inputs?.memory as FlowiseMemory - const prompt = nodeData.inputs?.systemMessagePrompt as string + let prompt = nodeData.inputs?.systemMessagePrompt as string + prompt = transformBracesWithColon(prompt) const chatPromptTemplate = nodeData.inputs?.chatPromptTemplate as ChatPromptTemplate let model = nodeData.inputs?.model as BaseChatModel diff --git a/packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts b/packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts index 5a0e40685dc..29528ae5c69 100644 --- a/packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts +++ b/packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts @@ -22,7 +22,8 @@ import { INodeData, INodeParams, IDatabaseEntity, - MemoryMethods + MemoryMethods, + IServerSideEventStreamer } from '../../../src/Interface' import { QA_TEMPLATE, REPHRASE_TEMPLATE, RESPONSE_TEMPLATE } from './prompts' @@ -181,6 +182,10 @@ class ConversationalRetrievalQAChain_Chains implements INode { const databaseEntities = options.databaseEntities as IDatabaseEntity const chatflowid = options.chatflowid as string + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + let customResponsePrompt = responsePrompt // If the deprecated systemMessagePrompt is still exists if (systemMessagePrompt) { @@ -205,7 +210,9 @@ class ConversationalRetrievalQAChain_Chains implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(options.sseStreamer, options.chatId, e.message) + } return formatResponse(e.message) } } @@ -234,18 +241,22 @@ class ConversationalRetrievalQAChain_Chains implements INode { let sourceDocuments: ICommonObject[] = [] let text = '' let isStreamingStarted = false - const isStreamingEnabled = options.socketIO && options.socketIOClientId for await (const chunk of stream) { streamedResponse = applyPatch(streamedResponse, chunk.ops).newDocument if (streamedResponse.final_output) { text = streamedResponse.final_output?.output - if (isStreamingEnabled) options.socketIO.to(options.socketIOClientId).emit('end') if (Array.isArray(streamedResponse?.logs?.[sourceRunnableName]?.final_output?.output)) { sourceDocuments = streamedResponse?.logs?.[sourceRunnableName]?.final_output?.output - if (isStreamingEnabled && returnSourceDocuments) - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', sourceDocuments) + if (shouldStreamResponse && returnSourceDocuments) { + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, sourceDocuments) + } + } + } + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamEndEvent(chatId) } } @@ -258,9 +269,17 @@ class ConversationalRetrievalQAChain_Chains implements INode { if (!isStreamingStarted) { isStreamingStarted = true - if (isStreamingEnabled) options.socketIO.to(options.socketIOClientId).emit('start', token) + if (shouldStreamResponse) { + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, token) + } + } + } + if (shouldStreamResponse) { + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, token) + } } - if (isStreamingEnabled) options.socketIO.to(options.socketIOClientId).emit('token', token) } } @@ -424,7 +443,7 @@ class BufferMemory extends FlowiseMemory implements MemoryMethods { } if (returnBaseMessages) { - return mapChatMessageToBaseMessage(chatMessage) + return await mapChatMessageToBaseMessage(chatMessage) } let returnIMessages: IMessage[] = [] diff --git a/packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts b/packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts new file mode 100644 index 00000000000..fb7dc4a7d86 --- /dev/null +++ b/packages/components/nodes/chains/GraphCypherQAChain/GraphCypherQAChain.ts @@ -0,0 +1,258 @@ +import { ICommonObject, INode, INodeData, INodeParams, INodeOutputsValue, IServerSideEventStreamer } from '../../../src/Interface' +import { FromLLMInput, GraphCypherQAChain } from '@langchain/community/chains/graph_qa/cypher' +import { getBaseClasses } from '../../../src/utils' +import { BasePromptTemplate, PromptTemplate, FewShotPromptTemplate } from '@langchain/core/prompts' +import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' +import { ConsoleCallbackHandler as LCConsoleCallbackHandler } from '@langchain/core/tracers/console' +import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' +import { formatResponse } from '../../outputparsers/OutputParserHelpers' + +class GraphCypherQA_Chain implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + inputs: INodeParams[] + sessionId?: string + outputs: INodeOutputsValue[] + + constructor(fields?: { sessionId?: string }) { + this.label = 'Graph Cypher QA Chain' + this.name = 'graphCypherQAChain' + this.version = 1.1 + this.type = 'GraphCypherQAChain' + this.icon = 'graphqa.svg' + this.category = 'Chains' + this.description = 'Advanced chain for question-answering against a Neo4j graph by generating Cypher statements' + this.baseClasses = [this.type, ...getBaseClasses(GraphCypherQAChain)] + this.sessionId = fields?.sessionId + this.inputs = [ + { + label: 'Language Model', + name: 'model', + type: 'BaseLanguageModel', + description: 'Model for generating Cypher queries and answers.' + }, + { + label: 'Neo4j Graph', + name: 'graph', + type: 'Neo4j' + }, + { + label: 'Cypher Generation Prompt', + name: 'cypherPrompt', + optional: true, + type: 'BasePromptTemplate', + description: + 'Prompt template for generating Cypher queries. Must include {schema} and {question} variables. If not provided, default prompt will be used.' + }, + { + label: 'Cypher Generation Model', + name: 'cypherModel', + optional: true, + type: 'BaseLanguageModel', + description: 'Model for generating Cypher queries. If not provided, the main model will be used.' + }, + { + label: 'QA Prompt', + name: 'qaPrompt', + optional: true, + type: 'BasePromptTemplate', + description: + 'Prompt template for generating answers. Must include {context} and {question} variables. If not provided, default prompt will be used.' + }, + { + label: 'QA Model', + name: 'qaModel', + optional: true, + type: 'BaseLanguageModel', + description: 'Model for generating answers. If not provided, the main model will be used.' + }, + { + label: 'Input Moderation', + description: 'Detect text that could generate harmful output and prevent it from being sent to the language model', + name: 'inputModeration', + type: 'Moderation', + optional: true, + list: true + }, + { + label: 'Return Direct', + name: 'returnDirect', + type: 'boolean', + default: false, + optional: true, + description: 'If true, return the raw query results instead of using the QA chain' + } + ] + this.outputs = [ + { + label: 'Graph Cypher QA Chain', + name: 'graphCypherQAChain', + baseClasses: [this.type, ...getBaseClasses(GraphCypherQAChain)] + }, + { + label: 'Output Prediction', + name: 'outputPrediction', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const model = nodeData.inputs?.model + const cypherModel = nodeData.inputs?.cypherModel + const qaModel = nodeData.inputs?.qaModel + const graph = nodeData.inputs?.graph + const cypherPrompt = nodeData.inputs?.cypherPrompt as BasePromptTemplate | FewShotPromptTemplate | undefined + const qaPrompt = nodeData.inputs?.qaPrompt as BasePromptTemplate | undefined + const returnDirect = nodeData.inputs?.returnDirect as boolean + const output = nodeData.outputs?.output as string + + if (!model) { + throw new Error('Language Model is required') + } + + // Handle prompt values if they exist + let cypherPromptTemplate: PromptTemplate | FewShotPromptTemplate | undefined + let qaPromptTemplate: PromptTemplate | undefined + + if (cypherPrompt) { + if (cypherPrompt instanceof PromptTemplate) { + cypherPromptTemplate = new PromptTemplate({ + template: cypherPrompt.template as string, + inputVariables: cypherPrompt.inputVariables + }) + if (!qaPrompt) { + throw new Error('QA Prompt is required when Cypher Prompt is a Prompt Template') + } + } else if (cypherPrompt instanceof FewShotPromptTemplate) { + const examplePrompt = cypherPrompt.examplePrompt as PromptTemplate + cypherPromptTemplate = new FewShotPromptTemplate({ + examples: cypherPrompt.examples, + examplePrompt: examplePrompt, + inputVariables: cypherPrompt.inputVariables, + prefix: cypherPrompt.prefix, + suffix: cypherPrompt.suffix, + exampleSeparator: cypherPrompt.exampleSeparator, + templateFormat: cypherPrompt.templateFormat + }) + } else { + cypherPromptTemplate = cypherPrompt as PromptTemplate + } + } + + if (qaPrompt instanceof PromptTemplate) { + qaPromptTemplate = new PromptTemplate({ + template: qaPrompt.template as string, + inputVariables: qaPrompt.inputVariables + }) + } + + // Validate required variables in prompts + if ( + cypherPromptTemplate && + (!cypherPromptTemplate?.inputVariables.includes('schema') || !cypherPromptTemplate?.inputVariables.includes('question')) + ) { + throw new Error('Cypher Generation Prompt must include {schema} and {question} variables') + } + + const fromLLMInput: FromLLMInput = { + llm: model, + graph, + returnDirect + } + + if (cypherPromptTemplate) { + fromLLMInput['cypherLLM'] = cypherModel ?? model + fromLLMInput['cypherPrompt'] = cypherPromptTemplate + } + + if (qaPromptTemplate) { + fromLLMInput['qaLLM'] = qaModel ?? model + fromLLMInput['qaPrompt'] = qaPromptTemplate + } + + const chain = GraphCypherQAChain.fromLLM(fromLLMInput) + + if (output === this.name) { + return chain + } else if (output === 'outputPrediction') { + nodeData.instance = chain + return await this.run(nodeData, input, options) + } + + return chain + } + + async run(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const chain = nodeData.instance as GraphCypherQAChain + const moderations = nodeData.inputs?.inputModeration as Moderation[] + const returnDirect = nodeData.inputs?.returnDirect as boolean + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + // Handle input moderation if configured + if (moderations && moderations.length > 0) { + try { + input = await checkInputs(moderations, input) + } catch (e) { + await new Promise((resolve) => setTimeout(resolve, 500)) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } + return formatResponse(e.message) + } + } + + const obj = { + query: input + } + + const loggerHandler = new ConsoleCallbackHandler(options.logger) + const callbackHandlers = await additionalCallbacks(nodeData, options) + let callbacks = [loggerHandler, ...callbackHandlers] + + if (process.env.DEBUG === 'true') { + callbacks.push(new LCConsoleCallbackHandler()) + } + + try { + let response + if (shouldStreamResponse) { + if (returnDirect) { + response = await chain.invoke(obj, { callbacks }) + let result = response?.result + if (typeof result === 'object') { + result = '```json\n' + JSON.stringify(result, null, 2) + } + if (result && typeof result === 'string') { + streamResponse(sseStreamer, chatId, result) + } + } else { + const handler = new CustomChainHandler(sseStreamer, chatId, 2) + callbacks.push(handler) + response = await chain.invoke(obj, { callbacks }) + } + } else { + response = await chain.invoke(obj, { callbacks }) + } + + return formatResponse(response?.result) + } catch (error) { + console.error('Error in GraphCypherQAChain:', error) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, error.message) + } + return formatResponse(`Error: ${error.message}`) + } + } +} + +module.exports = { nodeClass: GraphCypherQA_Chain } diff --git a/packages/components/nodes/chains/GraphCypherQAChain/graphqa.svg b/packages/components/nodes/chains/GraphCypherQAChain/graphqa.svg new file mode 100644 index 00000000000..06bd4751a61 --- /dev/null +++ b/packages/components/nodes/chains/GraphCypherQAChain/graphqa.svg @@ -0,0 +1,22 @@ + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/packages/components/nodes/chains/LLMChain/LLMChain.ts b/packages/components/nodes/chains/LLMChain/LLMChain.ts index 5a7d04569a6..f72603635e6 100644 --- a/packages/components/nodes/chains/LLMChain/LLMChain.ts +++ b/packages/components/nodes/chains/LLMChain/LLMChain.ts @@ -4,7 +4,15 @@ import { HumanMessage } from '@langchain/core/messages' import { ChatPromptTemplate, FewShotPromptTemplate, HumanMessagePromptTemplate, PromptTemplate } from '@langchain/core/prompts' import { OutputFixingParser } from 'langchain/output_parsers' import { LLMChain } from 'langchain/chains' -import { IVisionChatModal, ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { + IVisionChatModal, + ICommonObject, + INode, + INodeData, + INodeOutputsValue, + INodeParams, + IServerSideEventStreamer +} from '../../../src/Interface' import { additionalCallbacks, ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler' import { getBaseClasses, handleEscapeCharacters } from '../../../src/utils' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' @@ -162,18 +170,22 @@ const runPrediction = async ( const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - const isStreaming = !disableStreaming && options.socketIO && options.socketIOClientId - const socketIO = isStreaming ? options.socketIO : undefined - const socketIOClientId = isStreaming ? options.socketIOClientId : '' const moderations = nodeData.inputs?.inputModeration as Moderation[] + // this is true if the prediction is external and the client has requested streaming='true' + const shouldStreamResponse = !disableStreaming && options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the LLM chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(isStreaming, e.message, socketIO, socketIOClientId) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -237,7 +249,7 @@ const runPrediction = async ( for (const variable of inputVariables) { seen.push(variable) - if (promptValues[variable]) { + if (promptValues[variable] != null) { seen.pop() } } @@ -245,8 +257,8 @@ const runPrediction = async ( if (seen.length === 0) { // All inputVariables have fixed values specified const options = { ...promptValues } - if (isStreaming) { - const handler = new CustomChainHandler(socketIO, socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.call(options, [loggerHandler, handler, ...callbacks]) return formatResponse(res?.text) } else { @@ -261,8 +273,8 @@ const runPrediction = async ( ...promptValues, [lastValue]: input } - if (isStreaming) { - const handler = new CustomChainHandler(socketIO, socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.call(options, [loggerHandler, handler, ...callbacks]) return formatResponse(res?.text) } else { @@ -273,8 +285,9 @@ const runPrediction = async ( throw new Error(`Please provide Prompt Values for: ${seen.join(', ')}`) } } else { - if (isStreaming) { - const handler = new CustomChainHandler(socketIO, socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) + const res = await chain.run(input, [loggerHandler, handler, ...callbacks]) return formatResponse(res) } else { diff --git a/packages/components/nodes/chains/MultiPromptChain/MultiPromptChain.ts b/packages/components/nodes/chains/MultiPromptChain/MultiPromptChain.ts index fa91bb205e4..7863981c25e 100644 --- a/packages/components/nodes/chains/MultiPromptChain/MultiPromptChain.ts +++ b/packages/components/nodes/chains/MultiPromptChain/MultiPromptChain.ts @@ -1,6 +1,6 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { MultiPromptChain } from 'langchain/chains' -import { ICommonObject, INode, INodeData, INodeParams, PromptRetriever } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer, PromptRetriever } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' @@ -66,7 +66,7 @@ class MultiPromptChain_Chains implements INode { promptNames, promptDescriptions, promptTemplates, - llmChainOpts: { verbose: process.env.DEBUG === 'true' ? true : false } + llmChainOpts: { verbose: process.env.DEBUG === 'true' } }) return chain @@ -75,13 +75,21 @@ class MultiPromptChain_Chains implements INode { async run(nodeData: INodeData, input: string, options: ICommonObject): Promise { const chain = nodeData.instance as MultiPromptChain const moderations = nodeData.inputs?.inputModeration as Moderation[] + + // this is true if the prediction is external and the client has requested streaming='true' + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the Multi Prompt Chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(options.sseStreamer, options.chatId, e.message) + } return formatResponse(e.message) } } @@ -90,8 +98,8 @@ class MultiPromptChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId, 2) const res = await chain.call(obj, [loggerHandler, handler, ...callbacks]) return res?.text } else { diff --git a/packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts b/packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts index 71302d635af..eed73f4cc1e 100644 --- a/packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts +++ b/packages/components/nodes/chains/MultiRetrievalQAChain/MultiRetrievalQAChain.ts @@ -1,6 +1,6 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { MultiRetrievalQAChain } from 'langchain/chains' -import { ICommonObject, INode, INodeData, INodeParams, VectorStoreRetriever } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer, VectorStoreRetriever } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' @@ -74,7 +74,7 @@ class MultiRetrievalQAChain_Chains implements INode { retrieverNames, retrieverDescriptions, retrievers, - retrievalQAChainOpts: { verbose: process.env.DEBUG === 'true' ? true : false, returnSourceDocuments } + retrievalQAChainOpts: { verbose: process.env.DEBUG === 'true', returnSourceDocuments } }) return chain } @@ -83,13 +83,20 @@ class MultiRetrievalQAChain_Chains implements INode { const chain = nodeData.instance as MultiRetrievalQAChain const returnSourceDocuments = nodeData.inputs?.returnSourceDocuments as boolean const moderations = nodeData.inputs?.inputModeration as Moderation[] + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the Multi Retrieval QA Chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (options.shouldStreamResponse) { + streamResponse(options.sseStreamer, options.chatId, e.message) + } return formatResponse(e.message) } } @@ -97,8 +104,8 @@ class MultiRetrievalQAChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2, returnSourceDocuments) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId, 2, returnSourceDocuments) const res = await chain.call(obj, [loggerHandler, handler, ...callbacks]) if (res.text && res.sourceDocuments) return res return res?.text diff --git a/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts b/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts index 9125f38fcae..8e7453d7524 100644 --- a/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts +++ b/packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts @@ -2,7 +2,7 @@ import { BaseRetriever } from '@langchain/core/retrievers' import { BaseLanguageModel } from '@langchain/core/language_models/base' import { RetrievalQAChain } from 'langchain/chains' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' import { formatResponse } from '../../outputparsers/OutputParserHelpers' @@ -53,20 +53,27 @@ class RetrievalQAChain_Chains implements INode { const model = nodeData.inputs?.model as BaseLanguageModel const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever - const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' ? true : false }) + const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' }) return chain } async run(nodeData: INodeData, input: string, options: ICommonObject): Promise { const chain = nodeData.instance as RetrievalQAChain const moderations = nodeData.inputs?.inputModeration as Moderation[] + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the Retrieval QA Chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -76,8 +83,8 @@ class RetrievalQAChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.call(obj, [loggerHandler, handler, ...callbacks]) return res?.text } else { diff --git a/packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts b/packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts index 21688d74bb0..cc062fb768d 100644 --- a/packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts +++ b/packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts @@ -4,9 +4,9 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { PromptTemplate, PromptTemplateInput } from '@langchain/core/prompts' import { SqlDatabaseChain, SqlDatabaseChainInput, DEFAULT_SQL_DATABASE_PROMPT } from 'langchain/chains/sql_db' import { SqlDatabase } from 'langchain/sql_db' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { getBaseClasses, getInputVariables } from '../../../src/utils' +import { getBaseClasses, getInputVariables, transformBracesWithColon } from '../../../src/utils' import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation' import { formatResponse } from '../../outputparsers/OutputParserHelpers' @@ -66,7 +66,7 @@ class SqlDatabaseChain_Chains implements INode { label: 'Connection string or file path (sqlite only)', name: 'url', type: 'string', - placeholder: '1270.0.0.1:5432/chinook' + placeholder: '127.0.0.1:5432/chinook' }, { label: 'Include Tables', @@ -166,13 +166,20 @@ class SqlDatabaseChain_Chains implements INode { const topK = nodeData.inputs?.topK as number const customPrompt = nodeData.inputs?.customPrompt as string const moderations = nodeData.inputs?.inputModeration as Moderation[] + + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the Sql Database Chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + streamResponse(sseStreamer, chatId, e.message) + } return formatResponse(e.message) } } @@ -190,8 +197,9 @@ class SqlDatabaseChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId, 2) + const res = await chain.run(input, [loggerHandler, handler, ...callbacks]) return res } else { @@ -233,11 +241,12 @@ const getSQLDBChain = async ( const obj: SqlDatabaseChainInput = { llm, database: db, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', topK: topK } if (customPrompt) { + customPrompt = transformBracesWithColon(customPrompt) const options: PromptTemplateInput = { template: customPrompt, inputVariables: getInputVariables(customPrompt) diff --git a/packages/components/nodes/chains/VectaraChain/VectaraChain.ts b/packages/components/nodes/chains/VectaraChain/VectaraChain.ts index e5427ca0f7d..dc34a166fb4 100644 --- a/packages/components/nodes/chains/VectaraChain/VectaraChain.ts +++ b/packages/components/nodes/chains/VectaraChain/VectaraChain.ts @@ -269,7 +269,9 @@ class VectaraChain_Chains implements INode { input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } diff --git a/packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts b/packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts index 129eb46acdd..ec1b2cf8bb5 100644 --- a/packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts +++ b/packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts @@ -2,7 +2,7 @@ import { BaseLanguageModel } from '@langchain/core/language_models/base' import { VectorStore } from '@langchain/core/vectorstores' import { VectorDBQAChain } from 'langchain/chains' import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { checkInputs, Moderation } from '../../moderation/Moderation' import { formatResponse } from '../../outputparsers/OutputParserHelpers' @@ -55,7 +55,7 @@ class VectorDBQAChain_Chains implements INode { const chain = VectorDBQAChain.fromLLM(model, vectorStore, { k: (vectorStore as any)?.k ?? 4, - verbose: process.env.DEBUG === 'true' ? true : false + verbose: process.env.DEBUG === 'true' }) return chain } @@ -64,13 +64,19 @@ class VectorDBQAChain_Chains implements INode { const chain = nodeData.instance as VectorDBQAChain const moderations = nodeData.inputs?.inputModeration as Moderation[] + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + if (moderations && moderations.length > 0) { try { // Use the output of the moderation chain as input for the VectorDB QA Chain input = await checkInputs(moderations, input) } catch (e) { await new Promise((resolve) => setTimeout(resolve, 500)) - //streamResponse(options.socketIO && options.socketIOClientId, e.message, options.socketIO, options.socketIOClientId) + // if (options.shouldStreamResponse) { + // streamResponse(options.sseStreamer, options.chatId, e.message) + // } return formatResponse(e.message) } } @@ -81,8 +87,8 @@ class VectorDBQAChain_Chains implements INode { const loggerHandler = new ConsoleCallbackHandler(options.logger) const callbacks = await additionalCallbacks(nodeData, options) - if (options.socketIO && options.socketIOClientId) { - const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) + if (shouldStreamResponse) { + const handler = new CustomChainHandler(sseStreamer, chatId) const res = await chain.call(obj, [loggerHandler, handler, ...callbacks]) return res?.text } else { diff --git a/packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts b/packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts index 0c6f5a15d89..b48bc7f0dc1 100644 --- a/packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts +++ b/packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts @@ -1,9 +1,9 @@ import { BaseCache } from '@langchain/core/caches' import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { BedrockChat } from './FlowiseAWSChatBedrock' import { getModels, getRegions, MODEL_TYPE } from '../../../src/modelLoader' -import { BedrockChatFields } from '@langchain/community/chat_models/bedrock' +import { ChatBedrockConverseInput, ChatBedrockConverse } from '@langchain/aws' +import { BedrockChat } from './FlowiseAWSChatBedrock' /** * @author Michael Connor @@ -23,12 +23,12 @@ class AWSChatBedrock_ChatModels implements INode { constructor() { this.label = 'AWS ChatBedrock' this.name = 'awsChatBedrock' - this.version = 5.0 + this.version = 6.0 this.type = 'AWSChatBedrock' this.icon = 'aws.svg' this.category = 'Chat Models' - this.description = 'Wrapper around AWS Bedrock large language models that use the Chat endpoint' - this.baseClasses = [this.type, ...getBaseClasses(BedrockChat)] + this.description = 'Wrapper around AWS Bedrock large language models that use the Converse API' + this.baseClasses = [this.type, ...getBaseClasses(ChatBedrockConverse)] this.credential = { label: 'AWS Credential', name: 'credential', @@ -55,7 +55,7 @@ class AWSChatBedrock_ChatModels implements INode { name: 'model', type: 'asyncOptions', loadMethod: 'listModels', - default: 'anthropic.claude-3-haiku' + default: 'anthropic.claude-3-haiku-20240307-v1:0' }, { label: 'Custom Model Name', @@ -64,6 +64,14 @@ class AWSChatBedrock_ChatModels implements INode { type: 'string', optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Temperature', name: 'temperature', @@ -89,7 +97,7 @@ class AWSChatBedrock_ChatModels implements INode { name: 'allowImageUploads', type: 'boolean', description: - 'Only works with claude-3-* models when image is being uploaded from chat. Compatible with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent', + 'Allow image input. Refer to the docs for more details.', default: false, optional: true } @@ -115,7 +123,7 @@ class AWSChatBedrock_ChatModels implements INode { const cache = nodeData.inputs?.cache as BaseCache const streaming = nodeData.inputs?.streaming as boolean - const obj: BedrockChatFields = { + const obj: ChatBedrockConverseInput = { region: iRegion, model: customModel ? customModel : iModel, maxTokens: parseInt(iMax_tokens_to_sample, 10), @@ -153,7 +161,7 @@ class AWSChatBedrock_ChatModels implements INode { } const amazonBedrock = new BedrockChat(nodeData.id, obj) - if (obj.model?.includes('anthropic.claude-3')) amazonBedrock.setMultiModalOption(multiModalOption) + amazonBedrock.setMultiModalOption(multiModalOption) return amazonBedrock } } diff --git a/packages/components/nodes/chatmodels/AWSBedrock/FlowiseAWSChatBedrock.ts b/packages/components/nodes/chatmodels/AWSBedrock/FlowiseAWSChatBedrock.ts index 7d11bec0e30..4dec41fd1f7 100644 --- a/packages/components/nodes/chatmodels/AWSBedrock/FlowiseAWSChatBedrock.ts +++ b/packages/components/nodes/chatmodels/AWSBedrock/FlowiseAWSChatBedrock.ts @@ -1,5 +1,8 @@ -import { BedrockChatFields, BedrockChat as LCBedrockChat } from '@langchain/community/chat_models/bedrock' import { IVisionChatModal, IMultiModalOption } from '../../../src' +import { ChatBedrockConverse as LCBedrockChat, ChatBedrockConverseInput } from '@langchain/aws' + +const DEFAULT_IMAGE_MODEL = 'anthropic.claude-3-haiku-20240307-v1:0' +const DEFAULT_IMAGE_MAX_TOKEN = 1024 export class BedrockChat extends LCBedrockChat implements IVisionChatModal { configuredModel: string @@ -7,7 +10,7 @@ export class BedrockChat extends LCBedrockChat implements IVisionChatModal { multiModalOption: IMultiModalOption id: string - constructor(id: string, fields: BedrockChatFields) { + constructor(id: string, fields: ChatBedrockConverseInput) { super(fields) this.id = id this.configuredModel = fields?.model || '' @@ -25,8 +28,8 @@ export class BedrockChat extends LCBedrockChat implements IVisionChatModal { setVisionModel(): void { if (!this.model.startsWith('claude-3')) { - this.model = 'anthropic.claude-3-haiku-20240307-v1:0' - this.maxTokens = this.configuredMaxToken ? this.configuredMaxToken : 1024 + this.model = DEFAULT_IMAGE_MODEL + this.maxTokens = this.configuredMaxToken ? this.configuredMaxToken : DEFAULT_IMAGE_MAX_TOKEN } } } diff --git a/packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts b/packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts index 97d94764efa..d96028c15e3 100644 --- a/packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts +++ b/packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts @@ -1,10 +1,15 @@ -import { AzureOpenAIInput, ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput } from '@langchain/openai' +import { AzureOpenAIInput, AzureChatOpenAI as LangchainAzureChatOpenAI, ChatOpenAIFields, OpenAIClient } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' -import { BaseLLMParams } from '@langchain/core/language_models/llms' import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { ChatOpenAI } from '../ChatOpenAI/FlowiseChatOpenAI' import { getModels, MODEL_TYPE } from '../../../src/modelLoader' +import { AzureChatOpenAI } from './FlowiseAzureChatOpenAI' + +const serverCredentialsExists = + !!process.env.AZURE_OPENAI_API_KEY && + !!process.env.AZURE_OPENAI_API_INSTANCE_NAME && + !!process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME && + !!process.env.AZURE_OPENAI_API_VERSION class AzureChatOpenAI_ChatModels implements INode { label: string @@ -21,17 +26,18 @@ class AzureChatOpenAI_ChatModels implements INode { constructor() { this.label = 'Azure ChatOpenAI' this.name = 'azureChatOpenAI' - this.version = 5.0 + this.version = 7.0 this.type = 'AzureChatOpenAI' this.icon = 'Azure.svg' this.category = 'Chat Models' this.description = 'Wrapper around Azure OpenAI large language models that use the Chat endpoint' - this.baseClasses = [this.type, ...getBaseClasses(LangchainChatOpenAI)] + this.baseClasses = [this.type, ...getBaseClasses(LangchainAzureChatOpenAI)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['azureOpenAIApi'] + credentialNames: ['azureOpenAIApi'], + optional: serverCredentialsExists } this.inputs = [ { @@ -62,6 +68,14 @@ class AzureChatOpenAI_ChatModels implements INode { optional: true, additionalParams: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Top Probability', name: 'topP', @@ -101,12 +115,19 @@ class AzureChatOpenAI_ChatModels implements INode { optional: true, additionalParams: true }, + { + label: 'BaseOptions', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true + }, { label: 'Allow Image Uploads', name: 'allowImageUploads', type: 'boolean', description: - 'Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent', + 'Allow image input. Refer to the docs for more details.', default: false, optional: true }, @@ -132,6 +153,29 @@ class AzureChatOpenAI_ChatModels implements INode { default: 'low', optional: false, additionalParams: true + }, + { + label: 'Reasoning Effort', + description: 'Constrains effort on reasoning for reasoning models. Only applicable for o1 and o3 models.', + name: 'reasoningEffort', + type: 'options', + options: [ + { + label: 'Low', + name: 'low' + }, + { + label: 'Medium', + name: 'medium' + }, + { + label: 'High', + name: 'high' + } + ], + default: 'medium', + optional: false, + additionalParams: true } ] } @@ -154,6 +198,8 @@ class AzureChatOpenAI_ChatModels implements INode { const cache = nodeData.inputs?.cache as BaseCache const topP = nodeData.inputs?.topP as string const basePath = nodeData.inputs?.basepath as string + const baseOptions = nodeData.inputs?.baseOptions + const reasoningEffort = nodeData.inputs?.reasoningEffort as OpenAIClient.Chat.ChatCompletionReasoningEffort const credentialData = await getCredentialData(nodeData.credential ?? '', options) const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData) @@ -164,7 +210,7 @@ class AzureChatOpenAI_ChatModels implements INode { const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean const imageResolution = nodeData.inputs?.imageResolution as string - const obj: Partial & BaseLLMParams & Partial = { + const obj: ChatOpenAIFields & Partial = { temperature: parseFloat(temperature), modelName, azureOpenAIApiKey, @@ -181,6 +227,22 @@ class AzureChatOpenAI_ChatModels implements INode { if (cache) obj.cache = cache if (topP) obj.topP = parseFloat(topP) if (basePath) obj.azureOpenAIBasePath = basePath + if (baseOptions) { + try { + const parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + obj.configuration = { + defaultHeaders: parsedBaseOptions + } + } catch (exception) { + console.error('Error parsing base options', exception) + } + } + if (modelName === 'o3-mini') { + delete obj.temperature + } + if ((modelName.includes('o1') || modelName.includes('o3')) && reasoningEffort) { + obj.reasoningEffort = reasoningEffort + } const multiModalOption: IMultiModalOption = { image: { @@ -189,7 +251,7 @@ class AzureChatOpenAI_ChatModels implements INode { } } - const model = new ChatOpenAI(nodeData.id, obj) + const model = new AzureChatOpenAI(nodeData.id, obj) model.setMultiModalOption(multiModalOption) return model } diff --git a/packages/components/nodes/chatmodels/AzureChatOpenAI/FlowiseAzureChatOpenAI.ts b/packages/components/nodes/chatmodels/AzureChatOpenAI/FlowiseAzureChatOpenAI.ts new file mode 100644 index 00000000000..7a86a3a37c9 --- /dev/null +++ b/packages/components/nodes/chatmodels/AzureChatOpenAI/FlowiseAzureChatOpenAI.ts @@ -0,0 +1,41 @@ +import { AzureChatOpenAI as LangchainAzureChatOpenAI, OpenAIChatInput, AzureOpenAIInput, ClientOptions } from '@langchain/openai' +import { IMultiModalOption, IVisionChatModal } from '../../../src' +import { BaseChatModelParams } from '@langchain/core/language_models/chat_models' + +export class AzureChatOpenAI extends LangchainAzureChatOpenAI implements IVisionChatModal { + configuredModel: string + configuredMaxToken?: number + multiModalOption: IMultiModalOption + id: string + + constructor( + id: string, + fields?: Partial & + Partial & { + openAIApiKey?: string + openAIApiVersion?: string + openAIBasePath?: string + deploymentName?: string + } & BaseChatModelParams & { + configuration?: ClientOptions + } + ) { + super(fields) + this.id = id + this.configuredModel = fields?.modelName ?? '' + this.configuredMaxToken = fields?.maxTokens + } + + revertToOriginalModel(): void { + this.modelName = this.configuredModel + this.maxTokens = this.configuredMaxToken + } + + setMultiModalOption(multiModalOption: IMultiModalOption): void { + this.multiModalOption = multiModalOption + } + + setVisionModel(): void { + // pass + } +} diff --git a/packages/components/nodes/chatmodels/AzureChatOpenAI/README.md b/packages/components/nodes/chatmodels/AzureChatOpenAI/README.md new file mode 100644 index 00000000000..3bfd3396457 --- /dev/null +++ b/packages/components/nodes/chatmodels/AzureChatOpenAI/README.md @@ -0,0 +1,16 @@ +# Azure OpenAI Chat Model + +Azure OpenAI Chat Model integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| -------------------------------- | ------------------------------------------------------------------------ | ------ | ------- | +| AZURE_OPENAI_API_KEY | Default `credential.azureOpenAIApiKey` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_INSTANCE_NAME | Default `credential.azureOpenAIApiInstanceName` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_DEPLOYMENT_NAME | Default `credential.azureOpenAIApiDeploymentName` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_VERSION | Default `credential.azureOpenAIApiVersion` for Azure OpenAI Model | String | | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/chatmodels/ChatAlibabaTongyi/ChatAlibabaTongyi.ts b/packages/components/nodes/chatmodels/ChatAlibabaTongyi/ChatAlibabaTongyi.ts new file mode 100644 index 00000000000..92c4b0b71c9 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatAlibabaTongyi/ChatAlibabaTongyi.ts @@ -0,0 +1,87 @@ +import { BaseCache } from '@langchain/core/caches' +import { ChatAlibabaTongyi } from '@langchain/community/chat_models/alibaba_tongyi' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { BaseChatModelParams } from '@langchain/core/language_models/chat_models' + +class ChatAlibabaTongyi_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatAlibabaTongyi' + this.name = 'chatAlibabaTongyi' + this.version = 2.0 + this.type = 'ChatAlibabaTongyi' + this.icon = 'alibaba-svgrepo-com.svg' + this.category = 'Chat Models' + this.description = 'Wrapper around Alibaba Tongyi Chat Endpoints' + this.baseClasses = [this.type, ...getBaseClasses(ChatAlibabaTongyi)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['AlibabaApi'] + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model', + name: 'modelName', + type: 'string', + placeholder: 'qwen-plus' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const cache = nodeData.inputs?.cache as BaseCache + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const streaming = nodeData.inputs?.streaming as boolean + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const alibabaApiKey = getCredentialParam('alibabaApiKey', credentialData, nodeData) + + const obj: Partial & BaseChatModelParams = { + streaming: streaming ?? true, + alibabaApiKey, + model: modelName, + temperature: temperature ? parseFloat(temperature) : undefined + } + if (cache) obj.cache = cache + + const model = new ChatAlibabaTongyi(obj) + return model + } +} + +module.exports = { nodeClass: ChatAlibabaTongyi_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatAlibabaTongyi/alibaba-svgrepo-com.svg b/packages/components/nodes/chatmodels/ChatAlibabaTongyi/alibaba-svgrepo-com.svg new file mode 100644 index 00000000000..3ba6d875e60 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatAlibabaTongyi/alibaba-svgrepo-com.svg @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts b/packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts index 5d9a231cc9c..eec8fa51d48 100644 --- a/packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts +++ b/packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts @@ -21,7 +21,7 @@ class ChatAnthropic_ChatModels implements INode { constructor() { this.label = 'ChatAnthropic' this.name = 'chatAnthropic' - this.version = 6.0 + this.version = 8.0 this.type = 'ChatAnthropic' this.icon = 'Anthropic.svg' this.category = 'Chat Models' @@ -55,6 +55,14 @@ class ChatAnthropic_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Tokens', name: 'maxTokensToSample', @@ -79,12 +87,30 @@ class ChatAnthropic_ChatModels implements INode { optional: true, additionalParams: true }, + { + label: 'Extended Thinking', + name: 'extendedThinking', + type: 'boolean', + description: 'Enable extended thinking for reasoning model such as Claude Sonnet 3.7', + optional: true, + additionalParams: true + }, + { + label: 'Budget Tokens', + name: 'budgetTokens', + type: 'number', + step: 1, + default: 1024, + description: 'Maximum number of tokens Claude is allowed use for its internal reasoning process', + optional: true, + additionalParams: true + }, { label: 'Allow Image Uploads', name: 'allowImageUploads', type: 'boolean', description: - 'Automatically uses claude-3-* models when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent', + 'Allow image input. Refer to the docs for more details.', default: false, optional: true } @@ -106,6 +132,8 @@ class ChatAnthropic_ChatModels implements INode { const topK = nodeData.inputs?.topK as string const streaming = nodeData.inputs?.streaming as boolean const cache = nodeData.inputs?.cache as BaseCache + const extendedThinking = nodeData.inputs?.extendedThinking as boolean + const budgetTokens = nodeData.inputs?.budgetTokens as string const credentialData = await getCredentialData(nodeData.credential ?? '', options) const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData) @@ -123,6 +151,13 @@ class ChatAnthropic_ChatModels implements INode { if (topP) obj.topP = parseFloat(topP) if (topK) obj.topK = parseFloat(topK) if (cache) obj.cache = cache + if (extendedThinking) { + obj.thinking = { + type: 'enabled', + budget_tokens: parseInt(budgetTokens, 10) + } + delete obj.temperature + } const multiModalOption: IMultiModalOption = { image: { diff --git a/packages/components/nodes/chatmodels/ChatAnthropic/FlowiseChatAnthropic.ts b/packages/components/nodes/chatmodels/ChatAnthropic/FlowiseChatAnthropic.ts index 9bc5229276b..d12e9f9b659 100644 --- a/packages/components/nodes/chatmodels/ChatAnthropic/FlowiseChatAnthropic.ts +++ b/packages/components/nodes/chatmodels/ChatAnthropic/FlowiseChatAnthropic.ts @@ -1,15 +1,19 @@ import { AnthropicInput, ChatAnthropic as LangchainChatAnthropic } from '@langchain/anthropic' -import { BaseLLMParams } from '@langchain/core/language_models/llms' +import { type BaseChatModelParams } from '@langchain/core/language_models/chat_models' import { IVisionChatModal, IMultiModalOption } from '../../../src' +const DEFAULT_IMAGE_MODEL = 'claude-3-5-haiku-latest' +const DEFAULT_IMAGE_MAX_TOKEN = 2048 + export class ChatAnthropic extends LangchainChatAnthropic implements IVisionChatModal { configuredModel: string configuredMaxToken: number multiModalOption: IMultiModalOption id: string - constructor(id: string, fields: Partial & BaseLLMParams & { anthropicApiKey?: string }) { - super(fields) + constructor(id: string, fields?: Partial & BaseChatModelParams) { + // @ts-ignore + super(fields ?? {}) this.id = id this.configuredModel = fields?.modelName || '' this.configuredMaxToken = fields?.maxTokens ?? 2048 @@ -26,8 +30,8 @@ export class ChatAnthropic extends LangchainChatAnthropic implements IVisionChat setVisionModel(): void { if (!this.modelName.startsWith('claude-3')) { - this.modelName = 'claude-3-haiku-20240307' - this.maxTokens = this.configuredMaxToken ? this.configuredMaxToken : 2048 + this.modelName = DEFAULT_IMAGE_MODEL + this.maxTokens = this.configuredMaxToken ? this.configuredMaxToken : DEFAULT_IMAGE_MAX_TOKEN } } } diff --git a/packages/components/nodes/chatmodels/ChatBaiduWenxin/ChatBaiduWenxin.ts b/packages/components/nodes/chatmodels/ChatBaiduWenxin/ChatBaiduWenxin.ts index 265e8baf448..0941bbb695a 100644 --- a/packages/components/nodes/chatmodels/ChatBaiduWenxin/ChatBaiduWenxin.ts +++ b/packages/components/nodes/chatmodels/ChatBaiduWenxin/ChatBaiduWenxin.ts @@ -1,5 +1,5 @@ import { BaseCache } from '@langchain/core/caches' -import { ChatBaiduWenxin } from '@langchain/community/chat_models/baiduwenxin' +import { ChatBaiduQianfan } from '@langchain/baidu-qianfan' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' @@ -18,17 +18,17 @@ class ChatBaiduWenxin_ChatModels implements INode { constructor() { this.label = 'ChatBaiduWenxin' this.name = 'chatBaiduWenxin' - this.version = 1.0 + this.version = 2.0 this.type = 'ChatBaiduWenxin' this.icon = 'baiduwenxin.svg' this.category = 'Chat Models' this.description = 'Wrapper around BaiduWenxin Chat Endpoints' - this.baseClasses = [this.type, ...getBaseClasses(ChatBaiduWenxin)] + this.baseClasses = [this.type, ...getBaseClasses(ChatBaiduQianfan)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['baiduApi'] + credentialNames: ['baiduQianfanApi'] } this.inputs = [ { @@ -50,6 +50,13 @@ class ChatBaiduWenxin_ChatModels implements INode { step: 0.1, default: 0.9, optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true } ] } @@ -58,21 +65,22 @@ class ChatBaiduWenxin_ChatModels implements INode { const cache = nodeData.inputs?.cache as BaseCache const temperature = nodeData.inputs?.temperature as string const modelName = nodeData.inputs?.modelName as string + const streaming = nodeData.inputs?.streaming as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const baiduApiKey = getCredentialParam('baiduApiKey', credentialData, nodeData) - const baiduSecretKey = getCredentialParam('baiduSecretKey', credentialData, nodeData) + const qianfanAccessKey = getCredentialParam('qianfanAccessKey', credentialData, nodeData) + const qianfanSecretKey = getCredentialParam('qianfanSecretKey', credentialData, nodeData) - const obj: Partial = { - streaming: true, - baiduApiKey, - baiduSecretKey, + const obj: Partial = { + streaming: streaming ?? true, + qianfanAccessKey, + qianfanSecretKey, modelName, temperature: temperature ? parseFloat(temperature) : undefined } if (cache) obj.cache = cache - const model = new ChatBaiduWenxin(obj) + const model = new ChatBaiduQianfan(obj) return model } } diff --git a/packages/components/nodes/chatmodels/ChatCerebras/ChatCerebras.ts b/packages/components/nodes/chatmodels/ChatCerebras/ChatCerebras.ts new file mode 100644 index 00000000000..2d65ebeb7fd --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatCerebras/ChatCerebras.ts @@ -0,0 +1,173 @@ +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' +import { BaseCache } from '@langchain/core/caches' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class ChatCerebras_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatCerebras' + this.name = 'chatCerebras' + this.version = 2.0 + this.type = 'ChatCerebras' + this.icon = 'cerebras.png' + this.category = 'Chat Models' + this.description = 'Wrapper around Cerebras Inference API' + this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['cerebrasAIApi'], + optional: true + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model Name', + name: 'modelName', + type: 'string', + placeholder: 'llama3.1-8b' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Top Probability', + name: 'topP', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Frequency Penalty', + name: 'frequencyPenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Presence Penalty', + name: 'presencePenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Timeout', + name: 'timeout', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'BasePath', + name: 'basepath', + type: 'string', + optional: true, + default: 'https://api.cerebras.ai/v1', + additionalParams: true + }, + { + label: 'BaseOptions', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const topP = nodeData.inputs?.topP as string + const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string + const presencePenalty = nodeData.inputs?.presencePenalty as string + const timeout = nodeData.inputs?.timeout as string + const streaming = nodeData.inputs?.streaming as boolean + const basePath = nodeData.inputs?.basepath as string + const baseOptions = nodeData.inputs?.baseOptions + const cache = nodeData.inputs?.cache as BaseCache + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const cerebrasAIApiKey = getCredentialParam('cerebrasApiKey', credentialData, nodeData) + + const obj: ChatOpenAIFields = { + temperature: parseFloat(temperature), + modelName, + openAIApiKey: cerebrasAIApiKey, + streaming: streaming ?? true + } + + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + if (topP) obj.topP = parseFloat(topP) + if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) + if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) + if (timeout) obj.timeout = parseInt(timeout, 10) + if (cache) obj.cache = cache + + let parsedBaseOptions: any | undefined = undefined + + if (baseOptions) { + try { + parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + } catch (exception) { + throw new Error("Invalid JSON in the ChatCerebras's BaseOptions: " + exception) + } + } + + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new ChatOpenAI(obj) + return model + } +} + +module.exports = { nodeClass: ChatCerebras_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatCerebras/cerebras.png b/packages/components/nodes/chatmodels/ChatCerebras/cerebras.png new file mode 100644 index 00000000000..0b12258f1cc Binary files /dev/null and b/packages/components/nodes/chatmodels/ChatCerebras/cerebras.png differ diff --git a/packages/components/nodes/chatmodels/ChatCohere/ChatCohere.ts b/packages/components/nodes/chatmodels/ChatCohere/ChatCohere.ts index 8c2fc81794f..a49dc144283 100644 --- a/packages/components/nodes/chatmodels/ChatCohere/ChatCohere.ts +++ b/packages/components/nodes/chatmodels/ChatCohere/ChatCohere.ts @@ -19,7 +19,7 @@ class ChatCohere_ChatModels implements INode { constructor() { this.label = 'ChatCohere' this.name = 'chatCohere' - this.version = 1.0 + this.version = 2.0 this.type = 'ChatCohere' this.icon = 'Cohere.svg' this.category = 'Chat Models' @@ -52,6 +52,13 @@ class ChatCohere_ChatModels implements INode { step: 0.1, default: 0.7, optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true } ] } diff --git a/packages/components/nodes/chatmodels/ChatFireworks/ChatFireworks.ts b/packages/components/nodes/chatmodels/ChatFireworks/ChatFireworks.ts index 471c0872923..2f8b6abee6e 100644 --- a/packages/components/nodes/chatmodels/ChatFireworks/ChatFireworks.ts +++ b/packages/components/nodes/chatmodels/ChatFireworks/ChatFireworks.ts @@ -18,7 +18,7 @@ class ChatFireworks_ChatModels implements INode { constructor() { this.label = 'ChatFireworks' this.name = 'chatFireworks' - this.version = 1.0 + this.version = 2.0 this.type = 'ChatFireworks' this.icon = 'Fireworks.png' this.category = 'Chat Models' @@ -51,6 +51,13 @@ class ChatFireworks_ChatModels implements INode { step: 0.1, default: 0.9, optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true } ] } diff --git a/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts b/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts index 76287229377..3b13ab271aa 100644 --- a/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts +++ b/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts @@ -21,7 +21,7 @@ class GoogleGenerativeAI_ChatModels implements INode { constructor() { this.label = 'ChatGoogleGenerativeAI' this.name = 'chatGoogleGenerativeAI' - this.version = 2.0 + this.version = 3.0 this.type = 'ChatGoogleGenerativeAI' this.icon = 'GoogleGemini.svg' this.category = 'Chat Models' @@ -47,7 +47,15 @@ class GoogleGenerativeAI_ChatModels implements INode { name: 'modelName', type: 'asyncOptions', loadMethod: 'listModels', - default: 'gemini-pro' + default: 'gemini-1.5-flash-latest' + }, + { + label: 'Custom Model Name', + name: 'customModelName', + type: 'string', + placeholder: 'gemini-1.5-pro-exp-0801', + description: 'Custom model name to use. If provided, it will override the model selected', + additionalParams: true }, { label: 'Temperature', @@ -57,6 +65,14 @@ class GoogleGenerativeAI_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Output Tokens', name: 'maxOutputTokens', @@ -145,7 +161,7 @@ class GoogleGenerativeAI_ChatModels implements INode { name: 'allowImageUploads', type: 'boolean', description: - 'Automatically uses vision model when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent', + 'Allow image input. Refer to the docs for more details.', default: false, optional: true } @@ -165,6 +181,7 @@ class GoogleGenerativeAI_ChatModels implements INode { const temperature = nodeData.inputs?.temperature as string const modelName = nodeData.inputs?.modelName as string + const customModelName = nodeData.inputs?.customModelName as string const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string const topP = nodeData.inputs?.topP as string const topK = nodeData.inputs?.topK as string @@ -177,7 +194,7 @@ class GoogleGenerativeAI_ChatModels implements INode { const obj: Partial = { apiKey: apiKey, - modelName: modelName, + modelName: customModelName || modelName, streaming: streaming ?? true } diff --git a/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI.ts b/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI.ts index 0caebb69382..c26bf5a274f 100644 --- a/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI.ts +++ b/packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI.ts @@ -26,6 +26,9 @@ import { isStructuredTool } from '@langchain/core/utils/function_calling' import { zodToJsonSchema } from 'zod-to-json-schema' import { BaseLanguageModelCallOptions } from '@langchain/core/language_models/base' +const DEFAULT_IMAGE_MAX_TOKEN = 8192 +const DEFAULT_IMAGE_MODEL = 'gemini-1.5-flash-latest' + interface TokenUsage { completionTokens?: number promptTokens?: number @@ -362,9 +365,9 @@ export class ChatGoogleGenerativeAI extends LangchainChatGoogleGenerativeAI impl } setVisionModel(): void { - if (this.modelName !== 'gemini-pro-vision' && this.modelName !== 'gemini-1.5-pro-latest') { - this.modelName = 'gemini-1.5-pro-latest' - this.maxOutputTokens = this.configuredMaxToken ? this.configuredMaxToken : 8192 + if (this.modelName === 'gemini-1.0-pro-latest') { + this.modelName = DEFAULT_IMAGE_MODEL + this.maxOutputTokens = this.configuredMaxToken ? this.configuredMaxToken : DEFAULT_IMAGE_MAX_TOKEN } } } @@ -607,13 +610,13 @@ function convertResponseContentToChatGenerationChunk( index: number } ): ChatGenerationChunk | null { - if (!response.candidates || response.candidates.length === 0) { + if (!response || !response.candidates || response.candidates.length === 0) { return null } const functionCalls = response.functionCalls() const [candidate] = response.candidates const { content, ...generationInfo } = candidate - const text = content?.parts[0]?.text ?? '' + const text = content?.parts?.[0]?.text ?? '' const toolCallChunks: ToolCallChunk[] = [] if (functionCalls) { diff --git a/packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts b/packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts deleted file mode 100644 index 2bc6982232f..00000000000 --- a/packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts +++ /dev/null @@ -1,128 +0,0 @@ -import { ChatGooglePaLM, GooglePaLMChatInput } from '@langchain/community/chat_models/googlepalm' -import { BaseCache } from '@langchain/core/caches' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { getModels, MODEL_TYPE } from '../../../src/modelLoader' - -class ChatGooglePaLM_ChatModels implements INode { - label: string - name: string - version: number - type: string - icon: string - category: string - description: string - baseClasses: string[] - credential: INodeParams - inputs: INodeParams[] - - constructor() { - this.label = 'ChatGooglePaLM' - this.name = 'chatGooglePaLM' - this.version = 3.0 - this.type = 'ChatGooglePaLM' - this.icon = 'GooglePaLM.svg' - this.category = 'Chat Models' - this.description = 'Wrapper around Google MakerSuite PaLM large language models using the Chat endpoint' - this.baseClasses = [this.type, ...getBaseClasses(ChatGooglePaLM)] - this.credential = { - label: 'Connect Credential', - name: 'credential', - type: 'credential', - credentialNames: ['googleMakerSuite'] - } - this.inputs = [ - { - label: 'Cache', - name: 'cache', - type: 'BaseCache', - optional: true - }, - { - label: 'Model Name', - name: 'modelName', - type: 'asyncOptions', - loadMethod: 'listModels', - default: 'models/chat-bison-001' - }, - { - label: 'Temperature', - name: 'temperature', - type: 'number', - step: 0.1, - default: 0.7, - optional: true, - description: - 'Controls the randomness of the output.\n' + - 'Values can range from [0.0,1.0], inclusive. A value closer to 1.0 ' + - 'will produce responses that are more varied and creative, while ' + - 'a value closer to 0.0 will typically result in more straightforward ' + - 'responses from the model.' - }, - { - label: 'Top Probability', - name: 'topP', - type: 'number', - step: 0.1, - optional: true, - additionalParams: true, - description: - 'Top-p changes how the model selects tokens for output.\n' + - 'Tokens are selected from most probable to least until ' + - 'the sum of their probabilities equals the top-p value.\n' + - 'For example, if tokens A, B, and C have a probability of .3, .2, and .1 ' + - 'and the top-p value is .5, then the model will select either A or B ' + - 'as the next token (using temperature).' - }, - { - label: 'Top-k', - name: 'topK', - type: 'number', - step: 1, - optional: true, - additionalParams: true, - description: - 'Top-k changes how the model selects tokens for output.\n' + - 'A top-k of 1 means the selected token is the most probable among ' + - 'all tokens in the model vocabulary (also called greedy decoding), ' + - 'while a top-k of 3 means that the next token is selected from ' + - 'among the 3 most probable tokens (using temperature).' - } - // 'The "examples" field should contain a list of pairs of strings to use as prior turns for this conversation.' - // NB: While 'examples:[]' exists in langchain.ts backend, it is unlikely to be actually used there, since ChatOpenAI doesn't support it - ] - } - - //@ts-ignore - loadMethods = { - async listModels(): Promise { - return await getModels(MODEL_TYPE.CHAT, 'chatGooglePaLM') - } - } - - async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const modelName = nodeData.inputs?.modelName as string - const temperature = nodeData.inputs?.temperature as string - const topP = nodeData.inputs?.topP as string - const topK = nodeData.inputs?.topK as string - const cache = nodeData.inputs?.cache as BaseCache - - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData) - - const obj: Partial = { - modelName: modelName, - temperature: parseFloat(temperature), - apiKey: googleMakerSuiteKey - } - - if (topP) obj.topP = parseFloat(topP) - if (topK) obj.topK = parseFloat(topK) - if (cache) obj.cache = cache - - const model = new ChatGooglePaLM(obj) - return model - } -} - -module.exports = { nodeClass: ChatGooglePaLM_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatGooglePaLM/GooglePaLM.svg b/packages/components/nodes/chatmodels/ChatGooglePaLM/GooglePaLM.svg deleted file mode 100644 index ed47326a9ae..00000000000 --- a/packages/components/nodes/chatmodels/ChatGooglePaLM/GooglePaLM.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts b/packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts index 58fc15f7593..5b813984bcb 100644 --- a/packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts +++ b/packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts @@ -1,9 +1,55 @@ import { BaseCache } from '@langchain/core/caches' -import { ChatVertexAI, ChatVertexAIInput } from '@langchain/google-vertexai' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' +import { ChatVertexAI as LcChatVertexAI, ChatVertexAIInput } from '@langchain/google-vertexai' +import { + ICommonObject, + IMultiModalOption, + INode, + INodeData, + INodeOptionsValue, + INodeParams, + IVisionChatModal +} from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { getModels, MODEL_TYPE } from '../../../src/modelLoader' +const DEFAULT_IMAGE_MAX_TOKEN = 8192 +const DEFAULT_IMAGE_MODEL = 'gemini-1.5-flash-latest' + +class ChatVertexAI extends LcChatVertexAI implements IVisionChatModal { + configuredModel: string + configuredMaxToken: number + multiModalOption: IMultiModalOption + id: string + + constructor(id: string, fields?: ChatVertexAIInput) { + // @ts-ignore + if (fields?.model) { + fields.modelName = fields.model + delete fields.model + } + super(fields ?? {}) + this.id = id + this.configuredModel = fields?.modelName || '' + this.configuredMaxToken = fields?.maxOutputTokens ?? 2048 + } + + revertToOriginalModel(): void { + this.modelName = this.configuredModel + this.maxOutputTokens = this.configuredMaxToken + } + + setMultiModalOption(multiModalOption: IMultiModalOption): void { + this.multiModalOption = multiModalOption + } + + setVisionModel(): void { + if (!this.modelName.startsWith('claude-3')) { + this.modelName = DEFAULT_IMAGE_MODEL + this.maxOutputTokens = this.configuredMaxToken ? this.configuredMaxToken : DEFAULT_IMAGE_MAX_TOKEN + } + } +} + class GoogleVertexAI_ChatModels implements INode { label: string name: string @@ -19,7 +65,7 @@ class GoogleVertexAI_ChatModels implements INode { constructor() { this.label = 'ChatGoogleVertexAI' this.name = 'chatGoogleVertexAI' - this.version = 4.0 + this.version = 5.1 this.type = 'ChatGoogleVertexAI' this.icon = 'GoogleVertex.svg' this.category = 'Chat Models' @@ -45,8 +91,15 @@ class GoogleVertexAI_ChatModels implements INode { label: 'Model Name', name: 'modelName', type: 'asyncOptions', - loadMethod: 'listModels', - default: 'chat-bison' + loadMethod: 'listModels' + }, + { + label: 'Custom Model Name', + name: 'customModelName', + type: 'string', + placeholder: 'gemini-1.5-pro-exp-0801', + description: 'Custom model name to use. If provided, it will override the model selected', + additionalParams: true }, { label: 'Temperature', @@ -56,6 +109,23 @@ class GoogleVertexAI_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Allow Image Uploads', + name: 'allowImageUploads', + type: 'boolean', + description: + 'Allow image input. Refer to the docs for more details.', + default: false, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Output Tokens', name: 'maxOutputTokens', @@ -105,7 +175,6 @@ class GoogleVertexAI_ChatModels implements INode { throw new Error( 'Error: More than one component has been inputted. Please use only one of the following: Google Application Credential File Path or Google Credential JSON Object' ) - if (googleApplicationCredentialFilePath && !googleApplicationCredential) authOptions.keyFile = googleApplicationCredentialFilePath else if (!googleApplicationCredentialFilePath && googleApplicationCredential) @@ -116,23 +185,35 @@ class GoogleVertexAI_ChatModels implements INode { const temperature = nodeData.inputs?.temperature as string const modelName = nodeData.inputs?.modelName as string + const customModelName = nodeData.inputs?.customModelName as string const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string const topP = nodeData.inputs?.topP as string const cache = nodeData.inputs?.cache as BaseCache const topK = nodeData.inputs?.topK as string + const streaming = nodeData.inputs?.streaming as boolean + + const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean + + const multiModalOption: IMultiModalOption = { + image: { + allowImageUploads: allowImageUploads ?? false + } + } const obj: ChatVertexAIInput = { temperature: parseFloat(temperature), - model: modelName + modelName: customModelName || modelName, + streaming: streaming ?? true } if (Object.keys(authOptions).length !== 0) obj.authOptions = authOptions - if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10) if (topP) obj.topP = parseFloat(topP) if (cache) obj.cache = cache if (topK) obj.topK = parseFloat(topK) - const model = new ChatVertexAI(obj) + const model = new ChatVertexAI(nodeData.id, obj) + model.setMultiModalOption(multiModalOption) + return model } } diff --git a/packages/components/nodes/chatmodels/ChatIBMWatsonx/ChatIBMWatsonx.ts b/packages/components/nodes/chatmodels/ChatIBMWatsonx/ChatIBMWatsonx.ts new file mode 100644 index 00000000000..f4655ace6cd --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatIBMWatsonx/ChatIBMWatsonx.ts @@ -0,0 +1,183 @@ +import { BaseCache } from '@langchain/core/caches' +import { ChatWatsonx, ChatWatsonxInput } from '@langchain/community/chat_models/ibm' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +interface WatsonxAuth { + watsonxAIApikey?: string + watsonxAIBearerToken?: string + watsonxAIUsername?: string + watsonxAIPassword?: string + watsonxAIUrl?: string + watsonxAIAuthType?: string +} + +class ChatIBMWatsonx_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatIBMWatsonx' + this.name = 'chatIBMWatsonx' + this.version = 2.0 + this.type = 'ChatIBMWatsonx' + this.icon = 'ibm.png' + this.category = 'Chat Models' + this.description = 'Wrapper around IBM watsonx.ai foundation models' + this.baseClasses = [this.type, ...getBaseClasses(ChatWatsonx)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['ibmWatsonx'] + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model', + name: 'modelName', + type: 'string', + placeholder: 'mistralai/mistral-large' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Frequency Penalty', + name: 'frequencyPenalty', + type: 'number', + step: 1, + optional: true, + additionalParams: true, + description: + "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim." + }, + { + label: 'Log Probs', + name: 'logprobs', + type: 'boolean', + default: false, + optional: true, + additionalParams: true, + description: + 'Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.' + }, + { + label: 'N', + name: 'n', + type: 'number', + step: 1, + default: 1, + optional: true, + additionalParams: true, + description: + 'How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs.' + }, + { + label: 'Presence Penalty', + name: 'presencePenalty', + type: 'number', + step: 1, + default: 1, + optional: true, + additionalParams: true, + description: + "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics." + }, + { + label: 'Top P', + name: 'topP', + type: 'number', + step: 0.1, + default: 0.1, + optional: true, + additionalParams: true, + description: + 'An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.' + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const cache = nodeData.inputs?.cache as BaseCache + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string + const logprobs = nodeData.inputs?.logprobs as boolean + const n = nodeData.inputs?.n as string + const presencePenalty = nodeData.inputs?.presencePenalty as string + const topP = nodeData.inputs?.topP as string + const streaming = nodeData.inputs?.streaming as boolean + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const version = getCredentialParam('version', credentialData, nodeData) + const serviceUrl = getCredentialParam('serviceUrl', credentialData, nodeData) + const projectId = getCredentialParam('projectId', credentialData, nodeData) + const watsonxAIAuthType = getCredentialParam('watsonxAIAuthType', credentialData, nodeData) + const watsonxAIApikey = getCredentialParam('watsonxAIApikey', credentialData, nodeData) + const watsonxAIBearerToken = getCredentialParam('watsonxAIBearerToken', credentialData, nodeData) + + const auth = { + version, + serviceUrl, + projectId, + watsonxAIAuthType, + watsonxAIApikey, + watsonxAIBearerToken + } + + const obj: ChatWatsonxInput & WatsonxAuth = { + ...auth, + streaming: streaming ?? true, + model: modelName, + temperature: temperature ? parseFloat(temperature) : undefined + } + if (cache) obj.cache = cache + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10) + if (logprobs) obj.logprobs = logprobs + if (n) obj.maxTokens = parseInt(n, 10) + if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10) + if (topP) obj.topP = parseFloat(topP) + + const model = new ChatWatsonx(obj) + return model + } +} + +module.exports = { nodeClass: ChatIBMWatsonx_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatIBMWatsonx/ibm.png b/packages/components/nodes/chatmodels/ChatIBMWatsonx/ibm.png new file mode 100644 index 00000000000..a3a4be58100 Binary files /dev/null and b/packages/components/nodes/chatmodels/ChatIBMWatsonx/ibm.png differ diff --git a/packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts b/packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts index e8516ac4f78..3ce0efdfa42 100644 --- a/packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts +++ b/packages/components/nodes/chatmodels/ChatLocalAI/ChatLocalAI.ts @@ -1,6 +1,5 @@ -import { OpenAIChatInput, ChatOpenAI } from '@langchain/openai' +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' -import { BaseLLMParams } from '@langchain/core/language_models/llms' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' @@ -19,7 +18,7 @@ class ChatLocalAI_ChatModels implements INode { constructor() { this.label = 'ChatLocalAI' this.name = 'chatLocalAI' - this.version = 2.0 + this.version = 3.0 this.type = 'ChatLocalAI' this.icon = 'localai.png' this.category = 'Chat Models' @@ -59,6 +58,14 @@ class ChatLocalAI_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Tokens', name: 'maxTokens', @@ -93,15 +100,18 @@ class ChatLocalAI_ChatModels implements INode { const topP = nodeData.inputs?.topP as string const timeout = nodeData.inputs?.timeout as string const basePath = nodeData.inputs?.basePath as string + const streaming = nodeData.inputs?.streaming as boolean + const credentialData = await getCredentialData(nodeData.credential ?? '', options) const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData) const cache = nodeData.inputs?.cache as BaseCache - const obj: Partial & BaseLLMParams & { openAIApiKey?: string } = { + const obj: ChatOpenAIFields = { temperature: parseFloat(temperature), modelName, - openAIApiKey: 'sk-' + openAIApiKey: 'sk-', + streaming: streaming ?? true } if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) @@ -109,8 +119,9 @@ class ChatLocalAI_ChatModels implements INode { if (timeout) obj.timeout = parseInt(timeout, 10) if (cache) obj.cache = cache if (localAIApiKey) obj.openAIApiKey = localAIApiKey + if (basePath) obj.configuration = { baseURL: basePath } - const model = new ChatOpenAI(obj, { basePath }) + const model = new ChatOpenAI(obj) return model } diff --git a/packages/components/nodes/chatmodels/ChatMistral/ChatMistral.ts b/packages/components/nodes/chatmodels/ChatMistral/ChatMistral.ts index b82272ac3ee..2c478b6831d 100644 --- a/packages/components/nodes/chatmodels/ChatMistral/ChatMistral.ts +++ b/packages/components/nodes/chatmodels/ChatMistral/ChatMistral.ts @@ -19,7 +19,7 @@ class ChatMistral_ChatModels implements INode { constructor() { this.label = 'ChatMistralAI' this.name = 'chatMistralAI' - this.version = 3.0 + this.version = 4.0 this.type = 'ChatMistralAI' this.icon = 'MistralAI.svg' this.category = 'Chat Models' @@ -55,6 +55,14 @@ class ChatMistral_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Output Tokens', name: 'maxOutputTokens', diff --git a/packages/components/nodes/chatmodels/ChatNemoGuardrails/ChatNemoGuardrails.ts b/packages/components/nodes/chatmodels/ChatNemoGuardrails/ChatNemoGuardrails.ts new file mode 100644 index 00000000000..8da1a7fbb11 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNemoGuardrails/ChatNemoGuardrails.ts @@ -0,0 +1,121 @@ +import { BaseChatModel, type BaseChatModelParams } from '@langchain/core/language_models/chat_models' +import { AIMessageChunk, BaseMessage } from '@langchain/core/messages' +import { BaseChatModelCallOptions } from '@langchain/core/language_models/chat_models' +import { NemoClient } from './NemoClient' +import { CallbackManager, CallbackManagerForLLMRun } from '@langchain/core/callbacks/manager' +import { ChatResult } from '@langchain/core/outputs' +import { FailedAttemptHandler } from '@langchain/core/utils/async_caller' +import { getBaseClasses, INode, INodeData, INodeParams } from '../../../src' + +export interface ChatNemoGuardrailsCallOptions extends BaseChatModelCallOptions { + /** + * An array of strings to stop on. + */ + stop?: string[] +} + +export interface ChatNemoGuardrailsInput extends BaseChatModelParams { + configurationId?: string + /** + * The host URL of the Nemo server. + * @default "http://localhost:8000" + */ + baseUrl?: string +} + +class ChatNemoGuardrailsModel extends BaseChatModel implements ChatNemoGuardrailsInput { + configurationId: string + id: string + baseUrl: string + callbackManager?: CallbackManager | undefined + maxConcurrency?: number | undefined + maxRetries?: number | undefined + onFailedAttempt?: FailedAttemptHandler | undefined + client: NemoClient + + _llmType(): string { + return 'nemo-guardrails' + } + + _generate(messages: BaseMessage[], options: this['ParsedCallOptions'], runManager?: CallbackManagerForLLMRun): Promise { + const generate = async (messages: BaseMessage[], client: NemoClient): Promise => { + const chatMessages = await client.chat(messages) + const generations = chatMessages.map((message) => { + return { + text: message.content?.toString() ?? '', + message + } + }) + + await runManager?.handleLLMNewToken(generations.length ? generations[0].text : '') + + return { + generations + } + } + return generate(messages, this.client) + } + + constructor({ id, fields }: { id: string; fields: Partial & BaseChatModelParams }) { + super(fields) + this.id = id + this.configurationId = fields.configurationId ?? '' + this.baseUrl = fields.baseUrl ?? '' + this.callbackManager = fields.callbackManager + this.maxConcurrency = fields.maxConcurrency + this.maxRetries = fields.maxRetries + this.onFailedAttempt = fields.onFailedAttempt + this.client = new NemoClient(this.baseUrl, this.configurationId) + } +} + +class ChatNemoGuardrailsChatModel implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Chat Nemo Guardrails' + this.name = 'chatNemoGuardrails' + this.version = 1.0 + this.type = 'ChatNemoGuardrails' + this.icon = 'nemo.svg' + this.category = 'Chat Models' + this.description = 'Access models through the Nemo Guardrails API' + this.baseClasses = [this.type, ...getBaseClasses(ChatNemoGuardrailsModel)] + this.inputs = [ + { + label: 'Configuration ID', + name: 'configurationId', + type: 'string', + optional: false + }, + { + label: 'Base URL', + name: 'baseUrl', + type: 'string', + optional: false + } + ] + } + + async init(nodeData: INodeData): Promise { + const configurationId = nodeData.inputs?.configurationId + const baseUrl = nodeData.inputs?.baseUrl + const obj: Partial = { + configurationId: configurationId, + baseUrl: baseUrl + } + const model = new ChatNemoGuardrailsModel({ id: nodeData.id, fields: obj }) + return model + } +} + +module.exports = { nodeClass: ChatNemoGuardrailsChatModel } diff --git a/packages/components/nodes/chatmodels/ChatNemoGuardrails/NemoClient.ts b/packages/components/nodes/chatmodels/ChatNemoGuardrails/NemoClient.ts new file mode 100644 index 00000000000..da14f9b40a1 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNemoGuardrails/NemoClient.ts @@ -0,0 +1,70 @@ +import { AIMessage, BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages' + +export interface Config { + baseUrl: string + configurationId: string +} + +export class ClientConfig implements Config { + baseUrl: string + configurationId: string + + constructor(baseUrl: string, configurationId: string) { + this.baseUrl = baseUrl + this.configurationId = configurationId + } +} + +export class NemoClient { + private readonly config: Config + + constructor(baseUrl: string, configurationId: string) { + this.config = new ClientConfig(baseUrl, configurationId) + } + + getRoleFromMessage(message: BaseMessage): string { + if (message instanceof HumanMessage || message instanceof SystemMessage) { + return 'user' + } + + //AIMessage, ToolMessage, FunctionMessage + return 'assistant' + } + + getContentFromMessage(message: BaseMessage): string { + return message.content.toString() + } + + buildBody(messages: BaseMessage[], configurationId: string): any { + const bodyMessages = messages.map((message) => { + return { + role: this.getRoleFromMessage(message), + content: this.getContentFromMessage(message) + } + }) + + const body = { + config_id: configurationId, + messages: bodyMessages + } + + return body + } + + async chat(messages: BaseMessage[]): Promise { + const headers = new Headers() + headers.append('Content-Type', 'application/json') + + const body = this.buildBody(messages, this.config.configurationId) + + const requestOptions = { + method: 'POST', + body: JSON.stringify(body), + headers: headers + } + + return await fetch(`${this.config.baseUrl}/v1/chat/completions`, requestOptions) + .then((response) => response.json()) + .then((body) => body.messages.map((message: any) => new AIMessage(message.content))) + } +} diff --git a/packages/components/nodes/chatmodels/ChatNemoGuardrails/nemo.svg b/packages/components/nodes/chatmodels/ChatNemoGuardrails/nemo.svg new file mode 100644 index 00000000000..76a39e2e635 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNemoGuardrails/nemo.svg @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatNemoGuardrails/readme.md b/packages/components/nodes/chatmodels/ChatNemoGuardrails/readme.md new file mode 100644 index 00000000000..88dfdfeb60e --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNemoGuardrails/readme.md @@ -0,0 +1,20 @@ +Parameters: + +config_id +baseUrl + +``` +/v1/chat/completions +``` + +```json +{ + "config_id": "bedrock", + "messages": [ + { + "role": "user", + "content": "Hello! What can you do for me?" + } + ] +} +``` diff --git a/packages/components/nodes/chatmodels/ChatNvdiaNIM/ChatNvdiaNIM.ts b/packages/components/nodes/chatmodels/ChatNvdiaNIM/ChatNvdiaNIM.ts new file mode 100644 index 00000000000..86fdebfbf31 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNvdiaNIM/ChatNvdiaNIM.ts @@ -0,0 +1,172 @@ +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' +import { BaseCache } from '@langchain/core/caches' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class ChatNvdiaNIM_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Chat Nvidia NIM' + this.name = 'chatNvidiaNIM' + this.version = 1.0 + this.type = 'ChatNvidiaNIM' + this.icon = 'nvdia.svg' + this.category = 'Chat Models' + this.description = 'Wrapper around Nvdia NIM Inference API' + this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['nvidiaNIMApi'], + optional: true + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model Name', + name: 'modelName', + type: 'string', + placeholder: 'microsoft/phi-3-mini-4k-instruct' + }, + { + label: 'Base Path', + name: 'basePath', + type: 'string', + description: 'Specify the URL of the deployed NIM Inference API', + placeholder: 'https://integrate.api.nvidia.com/v1' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Top Probability', + name: 'topP', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Frequency Penalty', + name: 'frequencyPenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Presence Penalty', + name: 'presencePenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Timeout', + name: 'timeout', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Base Options', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const topP = nodeData.inputs?.topP as string + const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string + const presencePenalty = nodeData.inputs?.presencePenalty as string + const timeout = nodeData.inputs?.timeout as string + const streaming = nodeData.inputs?.streaming as boolean + const basePath = nodeData.inputs?.basePath as string + const baseOptions = nodeData.inputs?.baseOptions + const cache = nodeData.inputs?.cache as BaseCache + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const nvidiaNIMApiKey = getCredentialParam('nvidiaNIMApiKey', credentialData, nodeData) + + const obj: ChatOpenAIFields & { nvdiaNIMApiKey?: string } = { + temperature: parseFloat(temperature), + modelName, + openAIApiKey: nvidiaNIMApiKey ?? 'sk-', + streaming: streaming ?? true + } + + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + if (topP) obj.topP = parseFloat(topP) + if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) + if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) + if (timeout) obj.timeout = parseInt(timeout, 10) + if (cache) obj.cache = cache + + let parsedBaseOptions: any | undefined = undefined + + if (baseOptions) { + try { + parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + } catch (exception) { + throw new Error("Invalid JSON in the ChatNvidiaNIM's baseOptions: " + exception) + } + } + + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new ChatOpenAI(obj) + return model + } +} + +module.exports = { nodeClass: ChatNvdiaNIM_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatNvdiaNIM/nvdia.svg b/packages/components/nodes/chatmodels/ChatNvdiaNIM/nvdia.svg new file mode 100644 index 00000000000..76a39e2e635 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatNvdiaNIM/nvdia.svg @@ -0,0 +1,5 @@ + + + + + \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatOllama/ChatOllama.ts b/packages/components/nodes/chatmodels/ChatOllama/ChatOllama.ts index 0d72df79e30..25bee4364c9 100644 --- a/packages/components/nodes/chatmodels/ChatOllama/ChatOllama.ts +++ b/packages/components/nodes/chatmodels/ChatOllama/ChatOllama.ts @@ -1,8 +1,9 @@ -import { ChatOllama, ChatOllamaInput } from '@langchain/ollama' +import { ChatOllamaInput } from '@langchain/ollama' import { BaseChatModelParams } from '@langchain/core/language_models/chat_models' import { BaseCache } from '@langchain/core/caches' -import { INode, INodeData, INodeParams } from '../../../src/Interface' +import { IMultiModalOption, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' +import { ChatOllama } from './FlowiseChatOllama' class ChatOllama_ChatModels implements INode { label: string @@ -19,7 +20,7 @@ class ChatOllama_ChatModels implements INode { constructor() { this.label = 'ChatOllama' this.name = 'chatOllama' - this.version = 3.0 + this.version = 5.0 this.type = 'ChatOllama' this.icon = 'Ollama.svg' this.category = 'Chat Models' @@ -54,6 +55,32 @@ class ChatOllama_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Allow Image Uploads', + name: 'allowImageUploads', + type: 'boolean', + description: + 'Allow image input. Refer to the docs for more details.', + default: false, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'JSON Mode', + name: 'jsonMode', + type: 'boolean', + description: + 'Coerces model outputs to only return JSON. Specify in the system prompt to return JSON. Ex: Format all responses as JSON object', + optional: true, + additionalParams: true + }, { label: 'Keep Alive', name: 'keepAlive', @@ -203,13 +230,17 @@ class ChatOllama_ChatModels implements INode { const repeatLastN = nodeData.inputs?.repeatLastN as string const repeatPenalty = nodeData.inputs?.repeatPenalty as string const tfsZ = nodeData.inputs?.tfsZ as string + const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean + const jsonMode = nodeData.inputs?.jsonMode as boolean + const streaming = nodeData.inputs?.streaming as boolean const cache = nodeData.inputs?.cache as BaseCache const obj: ChatOllamaInput & BaseChatModelParams = { baseUrl, temperature: parseFloat(temperature), - model: modelName + model: modelName, + streaming: streaming ?? true } if (topP) obj.topP = parseFloat(topP) @@ -225,8 +256,16 @@ class ChatOllama_ChatModels implements INode { if (tfsZ) obj.tfsZ = parseFloat(tfsZ) if (keepAlive) obj.keepAlive = keepAlive if (cache) obj.cache = cache + if (jsonMode) obj.format = 'json' + + const multiModalOption: IMultiModalOption = { + image: { + allowImageUploads: allowImageUploads ?? false + } + } - const model = new ChatOllama(obj) + const model = new ChatOllama(nodeData.id, obj) + model.setMultiModalOption(multiModalOption) return model } } diff --git a/packages/components/nodes/chatmodels/ChatOllama/FlowiseChatOllama.ts b/packages/components/nodes/chatmodels/ChatOllama/FlowiseChatOllama.ts new file mode 100644 index 00000000000..3089562eaaf --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatOllama/FlowiseChatOllama.ts @@ -0,0 +1,27 @@ +import { ChatOllama as LCChatOllama, ChatOllamaInput } from '@langchain/ollama' +import { IMultiModalOption, IVisionChatModal } from '../../../src' + +export class ChatOllama extends LCChatOllama implements IVisionChatModal { + configuredModel: string + configuredMaxToken?: number + multiModalOption: IMultiModalOption + id: string + + constructor(id: string, fields?: ChatOllamaInput) { + super(fields) + this.id = id + this.configuredModel = fields?.model ?? '' + } + + revertToOriginalModel(): void { + this.model = this.configuredModel + } + + setMultiModalOption(multiModalOption: IMultiModalOption): void { + this.multiModalOption = multiModalOption + } + + setVisionModel(): void { + // pass + } +} diff --git a/packages/components/nodes/chatmodels/ChatOllamaFunction/ChatOllamaFunction.ts b/packages/components/nodes/chatmodels/ChatOllamaFunction/ChatOllamaFunction.ts deleted file mode 100644 index 1268c624e5e..00000000000 --- a/packages/components/nodes/chatmodels/ChatOllamaFunction/ChatOllamaFunction.ts +++ /dev/null @@ -1,810 +0,0 @@ -import { HumanMessage, AIMessage, BaseMessage, AIMessageChunk, ChatMessage } from '@langchain/core/messages' -import { ChatResult } from '@langchain/core/outputs' -import { SimpleChatModel, BaseChatModel, BaseChatModelParams } from '@langchain/core/language_models/chat_models' -import { SystemMessagePromptTemplate } from '@langchain/core/prompts' -import { BaseCache } from '@langchain/core/caches' -import { type StructuredToolInterface } from '@langchain/core/tools' -import type { BaseFunctionCallOptions, BaseLanguageModelInput } from '@langchain/core/language_models/base' -import { convertToOpenAIFunction } from '@langchain/core/utils/function_calling' -import { RunnableInterface } from '@langchain/core/runnables' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses } from '../../../src/utils' -import type { BaseLanguageModelCallOptions } from '@langchain/core/language_models/base' -import { CallbackManagerForLLMRun } from '@langchain/core/callbacks/manager' -import { ChatGenerationChunk } from '@langchain/core/outputs' -import type { StringWithAutocomplete } from '@langchain/core/utils/types' -import { createOllamaChatStream, createOllamaGenerateStream, type OllamaInput, type OllamaMessage } from './utils' - -const DEFAULT_TOOL_SYSTEM_TEMPLATE = `You have access to the following tools: -{tools} -You must always select one of the above tools and respond with only a JSON object matching the following schema: -{{ - "tool": , - "tool_input": -}}` - -class ChatOllamaFunction_ChatModels implements INode { - label: string - name: string - version: number - type: string - icon: string - category: string - description: string - baseClasses: string[] - credential: INodeParams - badge?: string - inputs: INodeParams[] - - constructor() { - this.label = 'ChatOllama Function' - this.name = 'chatOllamaFunction' - this.version = 1.0 - this.type = 'ChatOllamaFunction' - this.icon = 'Ollama.svg' - this.category = 'Chat Models' - this.badge = 'DEPRECATING' - this.description = 'Run open-source function-calling compatible LLM on Ollama' - this.baseClasses = [this.type, ...getBaseClasses(OllamaFunctions)] - this.inputs = [ - { - label: 'Cache', - name: 'cache', - type: 'BaseCache', - optional: true - }, - { - label: 'Base URL', - name: 'baseUrl', - type: 'string', - default: 'http://localhost:11434' - }, - { - label: 'Model Name', - name: 'modelName', - type: 'string', - description: 'Only compatible with function calling model like mistral', - placeholder: 'mistral' - }, - { - label: 'Temperature', - name: 'temperature', - type: 'number', - description: - 'The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8). Refer to docs for more details', - step: 0.1, - default: 0.9, - optional: true - }, - { - label: 'Tool System Prompt', - name: 'toolSystemPromptTemplate', - type: 'string', - rows: 4, - description: `Under the hood, Ollama's JSON mode is being used to constrain output to JSON. Output JSON will contains two keys: tool and tool_input fields. We then parse it to execute the tool. Because different models have different strengths, it may be helpful to pass in your own system prompt.`, - warning: `Prompt must always contains {tools} and instructions to respond with a JSON object with tool and tool_input fields`, - default: DEFAULT_TOOL_SYSTEM_TEMPLATE, - placeholder: DEFAULT_TOOL_SYSTEM_TEMPLATE, - additionalParams: true, - optional: true - }, - { - label: 'Top P', - name: 'topP', - type: 'number', - description: - 'Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9). Refer to docs for more details', - step: 0.1, - optional: true, - additionalParams: true - }, - { - label: 'Top K', - name: 'topK', - type: 'number', - description: - 'Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40). Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Mirostat', - name: 'mirostat', - type: 'number', - description: - 'Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Mirostat ETA', - name: 'mirostatEta', - type: 'number', - description: - 'Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1) Refer to docs for more details', - step: 0.1, - optional: true, - additionalParams: true - }, - { - label: 'Mirostat TAU', - name: 'mirostatTau', - type: 'number', - description: - 'Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. (Default: 5.0) Refer to docs for more details', - step: 0.1, - optional: true, - additionalParams: true - }, - { - label: 'Context Window Size', - name: 'numCtx', - type: 'number', - description: - 'Sets the size of the context window used to generate the next token. (Default: 2048) Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Number of GQA groups', - name: 'numGqa', - type: 'number', - description: - 'The number of GQA groups in the transformer layer. Required for some models, for example it is 8 for llama2:70b. Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Number of GPU', - name: 'numGpu', - type: 'number', - description: - 'The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable. Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Number of Thread', - name: 'numThread', - type: 'number', - description: - 'Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Repeat Last N', - name: 'repeatLastN', - type: 'number', - description: - 'Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx). Refer to docs for more details', - step: 1, - optional: true, - additionalParams: true - }, - { - label: 'Repeat Penalty', - name: 'repeatPenalty', - type: 'number', - description: - 'Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1). Refer to docs for more details', - step: 0.1, - optional: true, - additionalParams: true - }, - { - label: 'Stop Sequence', - name: 'stop', - type: 'string', - rows: 4, - placeholder: 'AI assistant:', - description: - 'Sets the stop sequences to use. Use comma to seperate different sequences. Refer to docs for more details', - optional: true, - additionalParams: true - }, - { - label: 'Tail Free Sampling', - name: 'tfsZ', - type: 'number', - description: - 'Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (Default: 1). Refer to docs for more details', - step: 0.1, - optional: true, - additionalParams: true - } - ] - } - - async init(nodeData: INodeData): Promise { - const temperature = nodeData.inputs?.temperature as string - const baseUrl = nodeData.inputs?.baseUrl as string - const modelName = nodeData.inputs?.modelName as string - const topP = nodeData.inputs?.topP as string - const topK = nodeData.inputs?.topK as string - const mirostat = nodeData.inputs?.mirostat as string - const mirostatEta = nodeData.inputs?.mirostatEta as string - const mirostatTau = nodeData.inputs?.mirostatTau as string - const numCtx = nodeData.inputs?.numCtx as string - const numGqa = nodeData.inputs?.numGqa as string - const numGpu = nodeData.inputs?.numGpu as string - const numThread = nodeData.inputs?.numThread as string - const repeatLastN = nodeData.inputs?.repeatLastN as string - const repeatPenalty = nodeData.inputs?.repeatPenalty as string - const stop = nodeData.inputs?.stop as string - const tfsZ = nodeData.inputs?.tfsZ as string - const toolSystemPromptTemplate = nodeData.inputs?.toolSystemPromptTemplate as string - - const cache = nodeData.inputs?.cache as BaseCache - - const obj: OllamaFunctionsInput = { - baseUrl, - temperature: parseFloat(temperature), - model: modelName, - toolSystemPromptTemplate: toolSystemPromptTemplate ? toolSystemPromptTemplate : DEFAULT_TOOL_SYSTEM_TEMPLATE - } - - if (topP) obj.topP = parseFloat(topP) - if (topK) obj.topK = parseFloat(topK) - if (mirostat) obj.mirostat = parseFloat(mirostat) - if (mirostatEta) obj.mirostatEta = parseFloat(mirostatEta) - if (mirostatTau) obj.mirostatTau = parseFloat(mirostatTau) - if (numCtx) obj.numCtx = parseFloat(numCtx) - if (numGqa) obj.numGqa = parseFloat(numGqa) - if (numGpu) obj.numGpu = parseFloat(numGpu) - if (numThread) obj.numThread = parseFloat(numThread) - if (repeatLastN) obj.repeatLastN = parseFloat(repeatLastN) - if (repeatPenalty) obj.repeatPenalty = parseFloat(repeatPenalty) - if (tfsZ) obj.tfsZ = parseFloat(tfsZ) - if (stop) { - const stopSequences = stop.split(',') - obj.stop = stopSequences - } - if (cache) obj.cache = cache - - const model = new OllamaFunctions(obj) - return model - } -} - -interface ChatOllamaFunctionsCallOptions extends BaseFunctionCallOptions {} - -type OllamaFunctionsInput = Partial & - BaseChatModelParams & { - llm?: OllamaChat - toolSystemPromptTemplate?: string - } - -class OllamaFunctions extends BaseChatModel { - llm: OllamaChat - - fields?: OllamaFunctionsInput - - toolSystemPromptTemplate: string = DEFAULT_TOOL_SYSTEM_TEMPLATE - - protected defaultResponseFunction = { - name: '__conversational_response', - description: 'Respond conversationally if no other tools should be called for a given query.', - parameters: { - type: 'object', - properties: { - response: { - type: 'string', - description: 'Conversational response to the user.' - } - }, - required: ['response'] - } - } - - static lc_name(): string { - return 'OllamaFunctions' - } - - constructor(fields?: OllamaFunctionsInput) { - super(fields ?? {}) - this.fields = fields - this.llm = fields?.llm ?? new OllamaChat({ ...fields, format: 'json' }) - this.toolSystemPromptTemplate = fields?.toolSystemPromptTemplate ?? this.toolSystemPromptTemplate - } - - invocationParams() { - return this.llm.invocationParams() - } - - /** @ignore */ - _identifyingParams() { - return this.llm._identifyingParams() - } - - async _generate( - messages: BaseMessage[], - options: this['ParsedCallOptions'], - runManager?: CallbackManagerForLLMRun | undefined - ): Promise { - let functions = options.functions ?? [] - if (options.function_call !== undefined) { - functions = functions.filter((fn) => fn.name === options.function_call?.name) - if (!functions.length) { - throw new Error(`If "function_call" is specified, you must also pass a matching function in "functions".`) - } - } else if (functions.length === 0) { - functions.push(this.defaultResponseFunction) - } - const systemPromptTemplate = SystemMessagePromptTemplate.fromTemplate(this.toolSystemPromptTemplate) - const systemMessage = await systemPromptTemplate.format({ - tools: JSON.stringify(functions, null, 2) - }) - - let generatedMessages = [systemMessage, ...messages] - let isToolResponse = false - if ( - messages.length > 3 && - messages[messages.length - 1]._getType() === 'tool' && - functions.length && - messages[messages.length - 1].additional_kwargs?.name === functions[0].name - ) { - const lastToolQuestion = messages[messages.length - 3].content - const lastToolResp = messages.pop()?.content - // Pop the message again to get rid of tool call message - messages.pop()?.content - const humanMessage = new HumanMessage({ - content: `Given user question: ${lastToolQuestion} and answer: ${lastToolResp}\n\nWrite a natural language response` - }) - generatedMessages = [...messages, humanMessage] - isToolResponse = true - this.llm = new OllamaChat({ ...this.fields }) - } - const chatResult = await this.llm._generate(generatedMessages, options, runManager) - const chatGenerationContent = chatResult.generations[0].message.content - - if (typeof chatGenerationContent !== 'string') { - throw new Error('OllamaFunctions does not support non-string output.') - } - - if (isToolResponse) { - return { - generations: [ - { - message: new AIMessage({ - content: chatGenerationContent - }), - text: chatGenerationContent - } - ] - } - } - - let parsedChatResult - try { - parsedChatResult = JSON.parse(chatGenerationContent) - } catch (e) { - throw new Error(`"${this.llm.model}" did not respond with valid JSON. Please try again.`) - } - - const calledToolName = parsedChatResult.tool - const calledToolArguments = parsedChatResult.tool_input - const calledTool = functions.find((fn) => fn.name === calledToolName) - if (calledTool === undefined) { - throw new Error(`Failed to parse a function call from ${this.llm.model} output: ${chatGenerationContent}`) - } - - if (calledTool.name === this.defaultResponseFunction.name) { - return { - generations: [ - { - message: new AIMessage({ - content: calledToolArguments.response - }), - text: calledToolArguments.response - } - ] - } - } - - const responseMessageWithFunctions = new AIMessage({ - content: '', - tool_calls: [ - { - name: calledToolName, - args: calledToolArguments || {} - } - ], - invalid_tool_calls: [], - additional_kwargs: { - function_call: { - name: calledToolName, - arguments: calledToolArguments ? JSON.stringify(calledToolArguments) : '' - }, - tool_calls: [ - { - id: Date.now().toString(), - type: 'function', - function: { - name: calledToolName, - arguments: calledToolArguments ? JSON.stringify(calledToolArguments) : '' - } - } - ] - } - }) - - return { - generations: [{ message: responseMessageWithFunctions, text: '' }] - } - } - - //@ts-ignore - override bindTools( - tools: StructuredToolInterface[], - kwargs?: Partial - ): RunnableInterface { - return this.bind({ - functions: tools.map((tool) => convertToOpenAIFunction(tool)), - ...kwargs - } as Partial) - } - - _llmType(): string { - return 'ollama_functions' - } - - /** @ignore */ - _combineLLMOutput() { - return [] - } -} - -export interface ChatOllamaInput extends OllamaInput {} - -interface ChatOllamaCallOptions extends BaseLanguageModelCallOptions {} - -class OllamaChat extends SimpleChatModel implements ChatOllamaInput { - static lc_name() { - return 'ChatOllama' - } - - lc_serializable = true - - model = 'llama2' - - baseUrl = 'http://localhost:11434' - - keepAlive = '5m' - - embeddingOnly?: boolean - - f16KV?: boolean - - frequencyPenalty?: number - - headers?: Record - - logitsAll?: boolean - - lowVram?: boolean - - mainGpu?: number - - mirostat?: number - - mirostatEta?: number - - mirostatTau?: number - - numBatch?: number - - numCtx?: number - - numGpu?: number - - numGqa?: number - - numKeep?: number - - numPredict?: number - - numThread?: number - - penalizeNewline?: boolean - - presencePenalty?: number - - repeatLastN?: number - - repeatPenalty?: number - - ropeFrequencyBase?: number - - ropeFrequencyScale?: number - - temperature?: number - - stop?: string[] - - tfsZ?: number - - topK?: number - - topP?: number - - typicalP?: number - - useMLock?: boolean - - useMMap?: boolean - - vocabOnly?: boolean - - format?: StringWithAutocomplete<'json'> - - constructor(fields: OllamaInput & BaseChatModelParams) { - super(fields) - this.model = fields.model ?? this.model - this.baseUrl = fields.baseUrl?.endsWith('/') ? fields.baseUrl.slice(0, -1) : fields.baseUrl ?? this.baseUrl - this.keepAlive = fields.keepAlive ?? this.keepAlive - this.embeddingOnly = fields.embeddingOnly - this.f16KV = fields.f16KV - this.frequencyPenalty = fields.frequencyPenalty - this.headers = fields.headers - this.logitsAll = fields.logitsAll - this.lowVram = fields.lowVram - this.mainGpu = fields.mainGpu - this.mirostat = fields.mirostat - this.mirostatEta = fields.mirostatEta - this.mirostatTau = fields.mirostatTau - this.numBatch = fields.numBatch - this.numCtx = fields.numCtx - this.numGpu = fields.numGpu - this.numGqa = fields.numGqa - this.numKeep = fields.numKeep - this.numPredict = fields.numPredict - this.numThread = fields.numThread - this.penalizeNewline = fields.penalizeNewline - this.presencePenalty = fields.presencePenalty - this.repeatLastN = fields.repeatLastN - this.repeatPenalty = fields.repeatPenalty - this.ropeFrequencyBase = fields.ropeFrequencyBase - this.ropeFrequencyScale = fields.ropeFrequencyScale - this.temperature = fields.temperature - this.stop = fields.stop - this.tfsZ = fields.tfsZ - this.topK = fields.topK - this.topP = fields.topP - this.typicalP = fields.typicalP - this.useMLock = fields.useMLock - this.useMMap = fields.useMMap - this.vocabOnly = fields.vocabOnly - this.format = fields.format - } - - _llmType() { - return 'ollama' - } - - /** - * A method that returns the parameters for an Ollama API call. It - * includes model and options parameters. - * @param options Optional parsed call options. - * @returns An object containing the parameters for an Ollama API call. - */ - invocationParams(options?: this['ParsedCallOptions']) { - return { - model: this.model, - format: this.format, - keep_alive: this.keepAlive, - options: { - embedding_only: this.embeddingOnly, - f16_kv: this.f16KV, - frequency_penalty: this.frequencyPenalty, - logits_all: this.logitsAll, - low_vram: this.lowVram, - main_gpu: this.mainGpu, - mirostat: this.mirostat, - mirostat_eta: this.mirostatEta, - mirostat_tau: this.mirostatTau, - num_batch: this.numBatch, - num_ctx: this.numCtx, - num_gpu: this.numGpu, - num_gqa: this.numGqa, - num_keep: this.numKeep, - num_predict: this.numPredict, - num_thread: this.numThread, - penalize_newline: this.penalizeNewline, - presence_penalty: this.presencePenalty, - repeat_last_n: this.repeatLastN, - repeat_penalty: this.repeatPenalty, - rope_frequency_base: this.ropeFrequencyBase, - rope_frequency_scale: this.ropeFrequencyScale, - temperature: this.temperature, - stop: options?.stop ?? this.stop, - tfs_z: this.tfsZ, - top_k: this.topK, - top_p: this.topP, - typical_p: this.typicalP, - use_mlock: this.useMLock, - use_mmap: this.useMMap, - vocab_only: this.vocabOnly - } - } - } - - _combineLLMOutput() { - return {} - } - - /** @deprecated */ - async *_streamResponseChunksLegacy( - input: BaseMessage[], - options: this['ParsedCallOptions'], - runManager?: CallbackManagerForLLMRun - ): AsyncGenerator { - const stream = createOllamaGenerateStream( - this.baseUrl, - { - ...this.invocationParams(options), - prompt: this._formatMessagesAsPrompt(input) - }, - { - ...options, - headers: this.headers - } - ) - for await (const chunk of stream) { - if (!chunk.done) { - yield new ChatGenerationChunk({ - text: chunk.response, - message: new AIMessageChunk({ content: chunk.response }) - }) - await runManager?.handleLLMNewToken(chunk.response ?? '') - } else { - yield new ChatGenerationChunk({ - text: '', - message: new AIMessageChunk({ content: '' }), - generationInfo: { - model: chunk.model, - total_duration: chunk.total_duration, - load_duration: chunk.load_duration, - prompt_eval_count: chunk.prompt_eval_count, - prompt_eval_duration: chunk.prompt_eval_duration, - eval_count: chunk.eval_count, - eval_duration: chunk.eval_duration - } - }) - } - } - } - - async *_streamResponseChunks( - input: BaseMessage[], - options: this['ParsedCallOptions'], - runManager?: CallbackManagerForLLMRun - ): AsyncGenerator { - try { - const stream = await this.caller.call(async () => - createOllamaChatStream( - this.baseUrl, - { - ...this.invocationParams(options), - messages: this._convertMessagesToOllamaMessages(input) - }, - { - ...options, - headers: this.headers - } - ) - ) - for await (const chunk of stream) { - if (!chunk.done) { - yield new ChatGenerationChunk({ - text: chunk.message.content, - message: new AIMessageChunk({ content: chunk.message.content }) - }) - await runManager?.handleLLMNewToken(chunk.message.content ?? '') - } else { - yield new ChatGenerationChunk({ - text: '', - message: new AIMessageChunk({ content: '' }), - generationInfo: { - model: chunk.model, - total_duration: chunk.total_duration, - load_duration: chunk.load_duration, - prompt_eval_count: chunk.prompt_eval_count, - prompt_eval_duration: chunk.prompt_eval_duration, - eval_count: chunk.eval_count, - eval_duration: chunk.eval_duration - } - }) - } - } - } catch (e: any) { - if (e.response?.status === 404) { - console.warn( - '[WARNING]: It seems you are using a legacy version of Ollama. Please upgrade to a newer version for better chat support.' - ) - yield* this._streamResponseChunksLegacy(input, options, runManager) - } else { - throw e - } - } - } - - protected _convertMessagesToOllamaMessages(messages: BaseMessage[]): OllamaMessage[] { - return messages.map((message) => { - let role - if (message._getType() === 'human') { - role = 'user' - } else if (message._getType() === 'ai' || message._getType() === 'tool') { - role = 'assistant' - } else if (message._getType() === 'system') { - role = 'system' - } else { - throw new Error(`Unsupported message type for Ollama: ${message._getType()}`) - } - let content = '' - const images = [] - if (typeof message.content === 'string') { - content = message.content - } else { - for (const contentPart of message.content) { - if (contentPart.type === 'text') { - content = `${content}\n${contentPart.text}` - } else if (contentPart.type === 'image_url' && typeof contentPart.image_url === 'string') { - const imageUrlComponents = contentPart.image_url.split(',') - // Support both data:image/jpeg;base64, format as well - images.push(imageUrlComponents[1] ?? imageUrlComponents[0]) - } else { - throw new Error( - `Unsupported message content type. Must either have type "text" or type "image_url" with a string "image_url" field.` - ) - } - } - } - return { - role, - content, - images - } - }) - } - - /** @deprecated */ - protected _formatMessagesAsPrompt(messages: BaseMessage[]): string { - const formattedMessages = messages - .map((message) => { - let messageText - if (message._getType() === 'human') { - messageText = `[INST] ${message.content} [/INST]` - } else if (message._getType() === 'ai') { - messageText = message.content - } else if (message._getType() === 'system') { - messageText = `<> ${message.content} <>` - } else if (ChatMessage.isInstance(message)) { - messageText = `\n\n${message.role[0].toUpperCase()}${message.role.slice(1)}: ${message.content}` - } else { - console.warn(`Unsupported message type passed to Ollama: "${message._getType()}"`) - messageText = '' - } - return messageText - }) - .join('\n') - return formattedMessages - } - - /** @ignore */ - async _call(messages: BaseMessage[], options: this['ParsedCallOptions'], runManager?: CallbackManagerForLLMRun): Promise { - const chunks = [] - for await (const chunk of this._streamResponseChunks(messages, options, runManager)) { - chunks.push(chunk.message.content) - } - return chunks.join('') - } -} - -module.exports = { nodeClass: ChatOllamaFunction_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatOllamaFunction/Ollama.svg b/packages/components/nodes/chatmodels/ChatOllamaFunction/Ollama.svg deleted file mode 100644 index 2dc8df5311e..00000000000 --- a/packages/components/nodes/chatmodels/ChatOllamaFunction/Ollama.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatOllamaFunction/utils.ts b/packages/components/nodes/chatmodels/ChatOllamaFunction/utils.ts deleted file mode 100644 index 4947b9d97a2..00000000000 --- a/packages/components/nodes/chatmodels/ChatOllamaFunction/utils.ts +++ /dev/null @@ -1,185 +0,0 @@ -import { IterableReadableStream } from '@langchain/core/utils/stream' -import type { StringWithAutocomplete } from '@langchain/core/utils/types' -import { BaseLanguageModelCallOptions } from '@langchain/core/language_models/base' - -export interface OllamaInput { - embeddingOnly?: boolean - f16KV?: boolean - frequencyPenalty?: number - headers?: Record - keepAlive?: string - logitsAll?: boolean - lowVram?: boolean - mainGpu?: number - model?: string - baseUrl?: string - mirostat?: number - mirostatEta?: number - mirostatTau?: number - numBatch?: number - numCtx?: number - numGpu?: number - numGqa?: number - numKeep?: number - numPredict?: number - numThread?: number - penalizeNewline?: boolean - presencePenalty?: number - repeatLastN?: number - repeatPenalty?: number - ropeFrequencyBase?: number - ropeFrequencyScale?: number - temperature?: number - stop?: string[] - tfsZ?: number - topK?: number - topP?: number - typicalP?: number - useMLock?: boolean - useMMap?: boolean - vocabOnly?: boolean - format?: StringWithAutocomplete<'json'> -} - -export interface OllamaRequestParams { - model: string - format?: StringWithAutocomplete<'json'> - images?: string[] - options: { - embedding_only?: boolean - f16_kv?: boolean - frequency_penalty?: number - logits_all?: boolean - low_vram?: boolean - main_gpu?: number - mirostat?: number - mirostat_eta?: number - mirostat_tau?: number - num_batch?: number - num_ctx?: number - num_gpu?: number - num_gqa?: number - num_keep?: number - num_thread?: number - num_predict?: number - penalize_newline?: boolean - presence_penalty?: number - repeat_last_n?: number - repeat_penalty?: number - rope_frequency_base?: number - rope_frequency_scale?: number - temperature?: number - stop?: string[] - tfs_z?: number - top_k?: number - top_p?: number - typical_p?: number - use_mlock?: boolean - use_mmap?: boolean - vocab_only?: boolean - } -} - -export type OllamaMessage = { - role: StringWithAutocomplete<'user' | 'assistant' | 'system'> - content: string - images?: string[] -} - -export interface OllamaGenerateRequestParams extends OllamaRequestParams { - prompt: string -} - -export interface OllamaChatRequestParams extends OllamaRequestParams { - messages: OllamaMessage[] -} - -export type BaseOllamaGenerationChunk = { - model: string - created_at: string - done: boolean - total_duration?: number - load_duration?: number - prompt_eval_count?: number - prompt_eval_duration?: number - eval_count?: number - eval_duration?: number -} - -export type OllamaGenerationChunk = BaseOllamaGenerationChunk & { - response: string -} - -export type OllamaChatGenerationChunk = BaseOllamaGenerationChunk & { - message: OllamaMessage -} - -export type OllamaCallOptions = BaseLanguageModelCallOptions & { - headers?: Record -} - -async function* createOllamaStream(url: string, params: OllamaRequestParams, options: OllamaCallOptions) { - let formattedUrl = url - if (formattedUrl.startsWith('http://localhost:')) { - // Node 18 has issues with resolving "localhost" - // See https://github.com/node-fetch/node-fetch/issues/1624 - formattedUrl = formattedUrl.replace('http://localhost:', 'http://127.0.0.1:') - } - const response = await fetch(formattedUrl, { - method: 'POST', - body: JSON.stringify(params), - headers: { - 'Content-Type': 'application/json', - ...options.headers - }, - signal: options.signal - }) - if (!response.ok) { - let error - const responseText = await response.text() - try { - const json = JSON.parse(responseText) - error = new Error(`Ollama call failed with status code ${response.status}: ${json.error}`) - } catch (e) { - error = new Error(`Ollama call failed with status code ${response.status}: ${responseText}`) - } - ;(error as any).response = response - throw error - } - if (!response.body) { - throw new Error('Could not begin Ollama stream. Please check the given URL and try again.') - } - - const stream = IterableReadableStream.fromReadableStream(response.body) - - const decoder = new TextDecoder() - let extra = '' - for await (const chunk of stream) { - const decoded = extra + decoder.decode(chunk) - const lines = decoded.split('\n') - extra = lines.pop() || '' - for (const line of lines) { - try { - yield JSON.parse(line) - } catch (e) { - console.warn(`Received a non-JSON parseable chunk: ${line}`) - } - } - } -} - -export async function* createOllamaGenerateStream( - baseUrl: string, - params: OllamaGenerateRequestParams, - options: OllamaCallOptions -): AsyncGenerator { - yield* createOllamaStream(`${baseUrl}/api/generate`, params, options) -} - -export async function* createOllamaChatStream( - baseUrl: string, - params: OllamaChatRequestParams, - options: OllamaCallOptions -): AsyncGenerator { - yield* createOllamaStream(`${baseUrl}/api/chat`, params, options) -} diff --git a/packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts b/packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts index e8378a806ca..c893d727896 100644 --- a/packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts +++ b/packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts @@ -1,11 +1,10 @@ -import type { ClientOptions } from 'openai' -import { ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput, AzureOpenAIInput, LegacyOpenAIInput } from '@langchain/openai' +import { ChatOpenAI as LangchainChatOpenAI, ChatOpenAIFields, OpenAIClient } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' -import { BaseChatModelParams } from '@langchain/core/language_models/chat_models' import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { ChatOpenAI } from './FlowiseChatOpenAI' import { getModels, MODEL_TYPE } from '../../../src/modelLoader' +import { HttpsProxyAgent } from 'https-proxy-agent' class ChatOpenAI_ChatModels implements INode { label: string @@ -22,7 +21,7 @@ class ChatOpenAI_ChatModels implements INode { constructor() { this.label = 'ChatOpenAI' this.name = 'chatOpenAI' - this.version = 6.0 + this.version = 8.1 this.type = 'ChatOpenAI' this.icon = 'openai.svg' this.category = 'Chat Models' @@ -46,7 +45,7 @@ class ChatOpenAI_ChatModels implements INode { name: 'modelName', type: 'asyncOptions', loadMethod: 'listModels', - default: 'gpt-3.5-turbo' + default: 'gpt-4o-mini' }, { label: 'Temperature', @@ -56,6 +55,14 @@ class ChatOpenAI_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Tokens', name: 'maxTokens', @@ -96,6 +103,24 @@ class ChatOpenAI_ChatModels implements INode { optional: true, additionalParams: true }, + { + label: 'Strict Tool Calling', + name: 'strictToolCalling', + type: 'boolean', + description: + 'Whether the model supports the `strict` argument when passing in tools. If not specified, the `strict` argument will not be passed to OpenAI.', + optional: true, + additionalParams: true + }, + { + label: 'Stop Sequence', + name: 'stopSequence', + type: 'string', + rows: 4, + optional: true, + description: 'List of stop words to use when generating. Use comma to separate multiple stop words.', + additionalParams: true + }, { label: 'BasePath', name: 'basepath', @@ -103,6 +128,13 @@ class ChatOpenAI_ChatModels implements INode { optional: true, additionalParams: true }, + { + label: 'Proxy Url', + name: 'proxyUrl', + type: 'string', + optional: true, + additionalParams: true + }, { label: 'BaseOptions', name: 'baseOptions', @@ -115,7 +147,7 @@ class ChatOpenAI_ChatModels implements INode { name: 'allowImageUploads', type: 'boolean', description: - 'Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent', + 'Allow image input. Refer to the docs for more details.', default: false, optional: true }, @@ -141,6 +173,29 @@ class ChatOpenAI_ChatModels implements INode { default: 'low', optional: false, additionalParams: true + }, + { + label: 'Reasoning Effort', + description: 'Constrains effort on reasoning for reasoning models. Only applicable for o1 and o3 models.', + name: 'reasoningEffort', + type: 'options', + options: [ + { + label: 'Low', + name: 'low' + }, + { + label: 'Medium', + name: 'medium' + }, + { + label: 'High', + name: 'high' + } + ], + default: 'medium', + optional: false, + additionalParams: true } ] } @@ -160,9 +215,13 @@ class ChatOpenAI_ChatModels implements INode { const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string const presencePenalty = nodeData.inputs?.presencePenalty as string const timeout = nodeData.inputs?.timeout as string + const stopSequence = nodeData.inputs?.stopSequence as string const streaming = nodeData.inputs?.streaming as boolean + const strictToolCalling = nodeData.inputs?.strictToolCalling as boolean const basePath = nodeData.inputs?.basepath as string + const proxyUrl = nodeData.inputs?.proxyUrl as string const baseOptions = nodeData.inputs?.baseOptions + const reasoningEffort = nodeData.inputs?.reasoningEffort as OpenAIClient.Chat.ChatCompletionReasoningEffort const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean const imageResolution = nodeData.inputs?.imageResolution as string @@ -175,21 +234,30 @@ class ChatOpenAI_ChatModels implements INode { const cache = nodeData.inputs?.cache as BaseCache - const obj: Partial & - Partial & - BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput } = { + const obj: ChatOpenAIFields = { temperature: parseFloat(temperature), modelName, openAIApiKey, streaming: streaming ?? true } + if (modelName.includes('o3')) { + delete obj.temperature + } + if ((modelName.includes('o1') || modelName.includes('o3')) && reasoningEffort) { + obj.reasoningEffort = reasoningEffort + } if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) if (topP) obj.topP = parseFloat(topP) if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) if (timeout) obj.timeout = parseInt(timeout, 10) if (cache) obj.cache = cache + if (stopSequence) { + const stopSequenceArray = stopSequence.split(',').map((item) => item.trim()) + obj.stop = stopSequenceArray + } + if (strictToolCalling) obj.supportsStrictToolCalling = strictToolCalling let parsedBaseOptions: any | undefined = undefined @@ -204,7 +272,14 @@ class ChatOpenAI_ChatModels implements INode { if (basePath || parsedBaseOptions) { obj.configuration = { baseURL: basePath, - baseOptions: parsedBaseOptions + defaultHeaders: parsedBaseOptions + } + } + + if (proxyUrl) { + obj.configuration = { + ...obj?.configuration, + httpAgent: new HttpsProxyAgent(proxyUrl) } } diff --git a/packages/components/nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI.ts b/packages/components/nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI.ts index 0065a895c64..adb57f31289 100644 --- a/packages/components/nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI.ts +++ b/packages/components/nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI.ts @@ -1,6 +1,4 @@ -import type { ClientOptions } from 'openai' -import { ChatOpenAI as LangchainChatOpenAI, OpenAIChatInput, LegacyOpenAIInput, AzureOpenAIInput } from '@langchain/openai' -import { BaseChatModelParams } from '@langchain/core/language_models/chat_models' +import { ChatOpenAI as LangchainChatOpenAI, ChatOpenAIFields } from '@langchain/openai' import { IMultiModalOption, IVisionChatModal } from '../../../src' export class ChatOpenAI extends LangchainChatOpenAI implements IVisionChatModal { @@ -9,15 +7,8 @@ export class ChatOpenAI extends LangchainChatOpenAI implements IVisionChatModal multiModalOption: IMultiModalOption id: string - constructor( - id: string, - fields?: Partial & - Partial & - BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput }, - /** @deprecated */ - configuration?: ClientOptions & LegacyOpenAIInput - ) { - super(fields, configuration) + constructor(id: string, fields?: ChatOpenAIFields) { + super(fields) this.id = id this.configuredModel = fields?.modelName ?? '' this.configuredMaxToken = fields?.maxTokens @@ -33,9 +24,6 @@ export class ChatOpenAI extends LangchainChatOpenAI implements IVisionChatModal } setVisionModel(): void { - if (this.modelName !== 'gpt-4-turbo' && !this.modelName.includes('vision')) { - this.modelName = 'gpt-4-turbo' - this.maxTokens = this.configuredMaxToken ? this.configuredMaxToken : 1024 - } + // pass } } diff --git a/packages/components/nodes/chatmodels/ChatOpenAICustom/ChatOpenAICustom.ts b/packages/components/nodes/chatmodels/ChatOpenAICustom/ChatOpenAICustom.ts index b341bd122b9..b076b461fb1 100644 --- a/packages/components/nodes/chatmodels/ChatOpenAICustom/ChatOpenAICustom.ts +++ b/packages/components/nodes/chatmodels/ChatOpenAICustom/ChatOpenAICustom.ts @@ -1,6 +1,5 @@ -import { ChatOpenAI, OpenAIChatInput } from '@langchain/openai' +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' -import { BaseLLMParams } from '@langchain/core/language_models/llms' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' @@ -19,7 +18,7 @@ class ChatOpenAICustom_ChatModels implements INode { constructor() { this.label = 'ChatOpenAI Custom' this.name = 'chatOpenAICustom' - this.version = 3.0 + this.version = 4.0 this.type = 'ChatOpenAI-Custom' this.icon = 'openai.svg' this.category = 'Chat Models' @@ -53,6 +52,14 @@ class ChatOpenAICustom_ChatModels implements INode { default: 0.9, optional: true }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, { label: 'Max Tokens', name: 'maxTokens', @@ -126,7 +133,7 @@ class ChatOpenAICustom_ChatModels implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData) - const obj: Partial & BaseLLMParams & { openAIApiKey?: string } = { + const obj: ChatOpenAIFields = { temperature: parseFloat(temperature), modelName, openAIApiKey, @@ -149,10 +156,15 @@ class ChatOpenAICustom_ChatModels implements INode { throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception) } } - const model = new ChatOpenAI(obj, { - basePath, - baseOptions: parsedBaseOptions - }) + + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new ChatOpenAI(obj) return model } } diff --git a/packages/components/nodes/chatmodels/ChatOpenRouter/ChatOpenRouter.ts b/packages/components/nodes/chatmodels/ChatOpenRouter/ChatOpenRouter.ts new file mode 100644 index 00000000000..4ac3c4f4c39 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatOpenRouter/ChatOpenRouter.ts @@ -0,0 +1,173 @@ +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' +import { BaseCache } from '@langchain/core/caches' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class ChatOpenRouter_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatOpenRouter' + this.name = 'chatOpenRouter' + this.version = 1.0 + this.type = 'ChatOpenRouter' + this.icon = 'openRouter.svg' + this.category = 'Chat Models' + this.description = 'Wrapper around Open Router Inference API' + this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['openRouterApi'], + optional: true + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model Name', + name: 'modelName', + type: 'string', + placeholder: 'openai/gpt-3.5-turbo' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Top Probability', + name: 'topP', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Frequency Penalty', + name: 'frequencyPenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Presence Penalty', + name: 'presencePenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Timeout', + name: 'timeout', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'BasePath', + name: 'basepath', + type: 'string', + optional: true, + default: 'https://openrouter.ai/api/v1', + additionalParams: true + }, + { + label: 'BaseOptions', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const topP = nodeData.inputs?.topP as string + const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string + const presencePenalty = nodeData.inputs?.presencePenalty as string + const timeout = nodeData.inputs?.timeout as string + const streaming = nodeData.inputs?.streaming as boolean + const basePath = (nodeData.inputs?.basepath as string) || 'https://openrouter.ai/api/v1' + const baseOptions = nodeData.inputs?.baseOptions + const cache = nodeData.inputs?.cache as BaseCache + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const openRouterApiKey = getCredentialParam('openRouterApiKey', credentialData, nodeData) + + const obj: ChatOpenAIFields = { + temperature: parseFloat(temperature), + modelName, + openAIApiKey: openRouterApiKey, + streaming: streaming ?? true + } + + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + if (topP) obj.topP = parseFloat(topP) + if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) + if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) + if (timeout) obj.timeout = parseInt(timeout, 10) + if (cache) obj.cache = cache + + let parsedBaseOptions: any | undefined = undefined + + if (baseOptions) { + try { + parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + } catch (exception) { + throw new Error("Invalid JSON in the ChatCerebras's BaseOptions: " + exception) + } + } + + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new ChatOpenAI(obj) + return model + } +} + +module.exports = { nodeClass: ChatOpenRouter_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatOpenRouter/openRouter.svg b/packages/components/nodes/chatmodels/ChatOpenRouter/openRouter.svg new file mode 100644 index 00000000000..14188d4cf74 --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatOpenRouter/openRouter.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/chatmodels/ChatTogetherAI/ChatTogetherAI.ts b/packages/components/nodes/chatmodels/ChatTogetherAI/ChatTogetherAI.ts index fe36bbe3327..d24a295512e 100644 --- a/packages/components/nodes/chatmodels/ChatTogetherAI/ChatTogetherAI.ts +++ b/packages/components/nodes/chatmodels/ChatTogetherAI/ChatTogetherAI.ts @@ -18,7 +18,7 @@ class ChatTogetherAI_ChatModels implements INode { constructor() { this.label = 'ChatTogetherAI' this.name = 'chatTogetherAI' - this.version = 1.0 + this.version = 2.0 this.type = 'ChatTogetherAI' this.icon = 'togetherai.png' this.category = 'Chat Models' @@ -51,6 +51,13 @@ class ChatTogetherAI_ChatModels implements INode { step: 0.1, default: 0.9, optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true } ] } diff --git a/packages/components/nodes/chatmodels/ChatXAI/ChatXAI.ts b/packages/components/nodes/chatmodels/ChatXAI/ChatXAI.ts new file mode 100644 index 00000000000..a6f41e884ef --- /dev/null +++ b/packages/components/nodes/chatmodels/ChatXAI/ChatXAI.ts @@ -0,0 +1,105 @@ +import { BaseCache } from '@langchain/core/caches' +import { ChatXAI, ChatXAIInput } from '@langchain/xai' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class ChatXAI_ChatModels implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatXAI' + this.name = 'chatXAI' + this.version = 1.0 + this.type = 'ChatXAI' + this.icon = 'xai.png' + this.category = 'Chat Models' + this.description = 'Wrapper around Grok from XAI' + this.baseClasses = [this.type, ...getBaseClasses(ChatXAI)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['xaiApi'] + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model', + name: 'modelName', + type: 'string', + placeholder: 'grok-beta' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.9, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const cache = nodeData.inputs?.cache as BaseCache + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const streaming = nodeData.inputs?.streaming as boolean + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const xaiApiKey = getCredentialParam('xaiApiKey', credentialData, nodeData) + + const obj: ChatXAIInput = { + apiKey: xaiApiKey, + streaming: streaming ?? true, + model: modelName, + temperature: temperature ? parseFloat(temperature) : undefined + } + if (cache) obj.cache = cache + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + + const model = new ChatXAI(obj) + return model + } +} + +module.exports = { nodeClass: ChatXAI_ChatModels } diff --git a/packages/components/nodes/chatmodels/ChatXAI/xai.png b/packages/components/nodes/chatmodels/ChatXAI/xai.png new file mode 100644 index 00000000000..2c2d7e863f1 Binary files /dev/null and b/packages/components/nodes/chatmodels/ChatXAI/xai.png differ diff --git a/packages/components/nodes/chatmodels/Deepseek/Deepseek.ts b/packages/components/nodes/chatmodels/Deepseek/Deepseek.ts new file mode 100644 index 00000000000..5f5e9556339 --- /dev/null +++ b/packages/components/nodes/chatmodels/Deepseek/Deepseek.ts @@ -0,0 +1,195 @@ +import { BaseCache } from '@langchain/core/caches' +import { ChatOpenAI, ChatOpenAIFields } from '@langchain/openai' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' +import { getModels, MODEL_TYPE } from '../../../src/modelLoader' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class Deepseek_ChatModels implements INode { + readonly baseURL: string = 'https://api.deepseek.com' + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'ChatDeepseek' + this.name = 'chatDeepseek' + this.version = 1.0 + this.type = 'chatDeepseek' + this.icon = 'deepseek.svg' + this.category = 'Chat Models' + this.description = 'Wrapper around Deepseek large language models that use the Chat endpoint' + this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['deepseekApi'] + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model Name', + name: 'modelName', + type: 'asyncOptions', + loadMethod: 'listModels', + default: 'deepseek-chat' + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + default: 0.7, + optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true, + additionalParams: true + }, + { + label: 'Max Tokens', + name: 'maxTokens', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Top Probability', + name: 'topP', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Frequency Penalty', + name: 'frequencyPenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Presence Penalty', + name: 'presencePenalty', + type: 'number', + step: 0.1, + optional: true, + additionalParams: true + }, + { + label: 'Timeout', + name: 'timeout', + type: 'number', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Stop Sequence', + name: 'stopSequence', + type: 'string', + rows: 4, + optional: true, + description: 'List of stop words to use when generating. Use comma to separate multiple stop words.', + additionalParams: true + }, + { + label: 'Base Options', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true, + description: 'Additional options to pass to the Deepseek client. This should be a JSON object.' + } + ] + } + + //@ts-ignore + loadMethods = { + async listModels(): Promise { + return await getModels(MODEL_TYPE.CHAT, 'deepseek') + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const temperature = nodeData.inputs?.temperature as string + const modelName = nodeData.inputs?.modelName as string + const maxTokens = nodeData.inputs?.maxTokens as string + const topP = nodeData.inputs?.topP as string + const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string + const presencePenalty = nodeData.inputs?.presencePenalty as string + const timeout = nodeData.inputs?.timeout as string + const stopSequence = nodeData.inputs?.stopSequence as string + const streaming = nodeData.inputs?.streaming as boolean + const baseOptions = nodeData.inputs?.baseOptions + + if (nodeData.inputs?.credentialId) { + nodeData.credential = nodeData.inputs?.credentialId + } + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const openAIApiKey = getCredentialParam('deepseekApiKey', credentialData, nodeData) + + const cache = nodeData.inputs?.cache as BaseCache + + const obj: ChatOpenAIFields = { + temperature: parseFloat(temperature), + modelName, + openAIApiKey, + streaming: streaming ?? true + } + + if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) + if (topP) obj.topP = parseFloat(topP) + if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) + if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) + if (timeout) obj.timeout = parseInt(timeout, 10) + if (cache) obj.cache = cache + if (stopSequence) { + const stopSequenceArray = stopSequence.split(',').map((item) => item.trim()) + obj.stop = stopSequenceArray + } + + let parsedBaseOptions: any | undefined = undefined + + if (baseOptions) { + try { + parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + if (parsedBaseOptions.baseURL) { + console.warn("The 'baseURL' parameter is not allowed when using the ChatDeepseek node.") + parsedBaseOptions.baseURL = undefined + } + } catch (exception) { + throw new Error('Invalid JSON in the BaseOptions: ' + exception) + } + } + + const model = new ChatOpenAI({ + ...obj, + configuration: { + baseURL: this.baseURL, + ...parsedBaseOptions + } + }) + return model + } +} + +module.exports = { nodeClass: Deepseek_ChatModels } diff --git a/packages/components/nodes/chatmodels/Deepseek/deepseek.svg b/packages/components/nodes/chatmodels/Deepseek/deepseek.svg new file mode 100644 index 00000000000..fff8df94369 --- /dev/null +++ b/packages/components/nodes/chatmodels/Deepseek/deepseek.svg @@ -0,0 +1,30 @@ + + + + + + + + diff --git a/packages/components/nodes/chatmodels/Groq/Groq.ts b/packages/components/nodes/chatmodels/Groq/Groq.ts index 680de7f9580..50b04074523 100644 --- a/packages/components/nodes/chatmodels/Groq/Groq.ts +++ b/packages/components/nodes/chatmodels/Groq/Groq.ts @@ -19,7 +19,7 @@ class Groq_ChatModels implements INode { constructor() { this.label = 'GroqChat' this.name = 'groqChat' - this.version = 3.0 + this.version = 4.0 this.type = 'GroqChat' this.icon = 'groq.png' this.category = 'Chat Models' @@ -53,6 +53,13 @@ class Groq_ChatModels implements INode { step: 0.1, default: 0.9, optional: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: true, + optional: true } ] } diff --git a/packages/components/nodes/documentloaders/API/APILoader.ts b/packages/components/nodes/documentloaders/API/APILoader.ts index 1196b61297f..02b77f789ee 100644 --- a/packages/components/nodes/documentloaders/API/APILoader.ts +++ b/packages/components/nodes/documentloaders/API/APILoader.ts @@ -3,7 +3,8 @@ import { omit } from 'lodash' import { Document } from '@langchain/core/documents' import { TextSplitter } from 'langchain/text_splitter' import { BaseDocumentLoader } from 'langchain/document_loaders/base' -import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { handleEscapeCharacters } from '../../../src/utils' class API_DocumentLoaders implements INode { label: string @@ -15,11 +16,12 @@ class API_DocumentLoaders implements INode { category: string baseClasses: string[] inputs?: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'API Loader' this.name = 'apiLoader' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'api.svg' this.category = 'Document Loaders' @@ -88,6 +90,20 @@ class API_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData): Promise { const headers = nodeData.inputs?.headers as string @@ -97,6 +113,7 @@ class API_DocumentLoaders implements INode { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -161,7 +178,15 @@ class API_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Airtable/Airtable.ts b/packages/components/nodes/documentloaders/Airtable/Airtable.ts index 0828ffc468a..2c11f3f7d5f 100644 --- a/packages/components/nodes/documentloaders/Airtable/Airtable.ts +++ b/packages/components/nodes/documentloaders/Airtable/Airtable.ts @@ -4,7 +4,8 @@ import { Document } from '@langchain/core/documents' import { TextSplitter } from 'langchain/text_splitter' import { BaseDocumentLoader } from 'langchain/document_loaders/base' import { getCredentialData, getCredentialParam } from '../../../src/utils' -import { IDocument, ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { IDocument, ICommonObject, INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' +import { handleEscapeCharacters } from '../../../src' class Airtable_DocumentLoaders implements INode { label: string @@ -17,11 +18,12 @@ class Airtable_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs?: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Airtable' this.name = 'airtable' - this.version = 3.0 + this.version = 3.02 this.type = 'Document' this.icon = 'airtable.svg' this.category = 'Document Loaders' @@ -111,6 +113,30 @@ class Airtable_DocumentLoaders implements INode { placeholder: 'key1, key2, key3.nestedKey1', optional: true, additionalParams: true + }, + { + label: 'Filter By Formula', + name: 'filterByFormula', + type: 'string', + placeholder: 'NOT({Id} = "")', + optional: true, + additionalParams: true, + description: + 'A formula used to filter records. The formula will be evaluated for each record, and if the result is not 0, false, "", NaN, [], or #Error! the record will be included in the response.' + } + ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] } ] } @@ -125,6 +151,7 @@ class Airtable_DocumentLoaders implements INode { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const filterByFormula = nodeData.inputs?.filterByFormula as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -141,7 +168,8 @@ class Airtable_DocumentLoaders implements INode { fields, returnAll, accessToken, - limit: limit ? parseInt(limit, 10) : 100 + limit: limit ? parseInt(limit, 10) : 100, + filterByFormula } const loader = new AirtableLoader(airtableOptions) @@ -191,6 +219,16 @@ class Airtable_DocumentLoaders implements INode { })) } + const output = nodeData.outputs?.output as string + + if (output === 'text') { + let finalText = '' + for (const doc of docs) { + finalText += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finalText, false) + } + return docs } } @@ -204,6 +242,7 @@ interface AirtableLoaderParams { limit?: number returnAll?: boolean textField?: string + filterByFormula?: string } interface AirtableLoaderRequest { @@ -211,6 +250,7 @@ interface AirtableLoaderRequest { view: string | undefined fields?: string[] offset?: string + filterByFormula?: string } interface AirtableLoaderResponse { @@ -239,7 +279,18 @@ class AirtableLoader extends BaseDocumentLoader { public readonly returnAll: boolean - constructor({ baseId, tableId, viewId, fields = [], accessToken, limit = 100, returnAll = false }: AirtableLoaderParams) { + public readonly filterByFormula?: string + + constructor({ + baseId, + tableId, + viewId, + fields = [], + accessToken, + limit = 100, + returnAll = false, + filterByFormula + }: AirtableLoaderParams) { super() this.baseId = baseId this.tableId = tableId @@ -248,6 +299,7 @@ class AirtableLoader extends BaseDocumentLoader { this.accessToken = accessToken this.limit = limit this.returnAll = returnAll + this.filterByFormula = filterByFormula } public async load(): Promise { @@ -310,6 +362,10 @@ class AirtableLoader extends BaseDocumentLoader { data.fields = this.fields } + if (this.filterByFormula) { + data.filterByFormula = this.filterByFormula + } + let response: AirtableLoaderResponse let returnPages: AirtableLoaderPage[] = [] @@ -340,6 +396,10 @@ class AirtableLoader extends BaseDocumentLoader { data.fields = this.fields } + if (this.filterByFormula) { + data.filterByFormula = this.filterByFormula + } + let response: AirtableLoaderResponse let returnPages: AirtableLoaderPage[] = [] do { diff --git a/packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts b/packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts index 04f62e28402..41b91ef5dd4 100644 --- a/packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts +++ b/packages/components/nodes/documentloaders/ApifyWebsiteContentCrawler/ApifyWebsiteContentCrawler.ts @@ -1,6 +1,6 @@ import { omit } from 'lodash' -import { INode, INodeData, INodeParams, ICommonObject } from '../../../src/Interface' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { INode, INodeData, INodeParams, ICommonObject, INodeOutputsValue } from '../../../src/Interface' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' import { TextSplitter } from 'langchain/text_splitter' import { ApifyDatasetLoader } from '@langchain/community/document_loaders/web/apify_dataset' import { Document } from '@langchain/core/documents' @@ -16,16 +16,23 @@ class ApifyWebsiteContentCrawler_DocumentLoaders implements INode { baseClasses: string[] inputs: INodeParams[] credential: INodeParams + outputs: INodeOutputsValue[] constructor() { this.label = 'Apify Website Content Crawler' this.name = 'apifyWebsiteContentCrawler' this.type = 'Document' this.icon = 'apify-symbol-transparent.svg' - this.version = 2.0 + this.version = 3.0 this.category = 'Document Loaders' this.description = 'Load data from Apify Website Content Crawler' this.baseClasses = [this.type] + this.credential = { + label: 'Connect Apify API', + name: 'credential', + type: 'credential', + credentialNames: ['apifyApi'] + } this.inputs = [ { label: 'Text Splitter', @@ -112,18 +119,27 @@ class ApifyWebsiteContentCrawler_DocumentLoaders implements INode { additionalParams: true } ] - this.credential = { - label: 'Connect Apify API', - name: 'credential', - type: 'credential', - credentialNames: ['apifyApi'] - } + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -203,7 +219,15 @@ class ApifyWebsiteContentCrawler_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/BraveSearchAPI/BraveSearchAPI.ts b/packages/components/nodes/documentloaders/BraveSearchAPI/BraveSearchAPI.ts new file mode 100644 index 00000000000..61da9c24f2a --- /dev/null +++ b/packages/components/nodes/documentloaders/BraveSearchAPI/BraveSearchAPI.ts @@ -0,0 +1,165 @@ +import { omit } from 'lodash' +import { ICommonObject, IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { TextSplitter } from 'langchain/text_splitter' +import { BraveSearch } from '@langchain/community/tools/brave_search' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' +import { Document } from '@langchain/core/documents' + +class BraveSearchAPI_DocumentLoaders implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'BraveSearch API Document Loader' + this.name = 'braveSearchApiLoader' + this.version = 2.0 + this.type = 'Document' + this.icon = 'brave.svg' + this.category = 'Document Loaders' + this.description = 'Load and process data from BraveSearch results' + this.baseClasses = [this.type] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + optional: false, + credentialNames: ['braveSearchApi'] + } + this.inputs = [ + { + label: 'Query', + name: 'query', + type: 'string' + }, + { + label: 'Text Splitter', + name: 'textSplitter', + type: 'TextSplitter', + optional: true + }, + { + label: 'Additional Metadata', + name: 'metadata', + type: 'json', + description: 'Additional metadata to be added to the extracted documents', + optional: true, + additionalParams: true + }, + { + label: 'Omit Metadata Keys', + name: 'omitMetadataKeys', + type: 'string', + rows: 4, + description: + 'Each document loader comes with a default set of metadata keys that are extracted from the document. You can use this field to omit some of the default metadata keys. The value should be a list of keys, separated by comma. Use * to omit all metadata keys except the ones you specify in the Additional Metadata field', + placeholder: 'key1, key2, key3.nestedKey1', + optional: true, + additionalParams: true + } + ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const textSplitter = nodeData.inputs?.textSplitter as TextSplitter + const query = nodeData.inputs?.query as string + const metadata = nodeData.inputs?.metadata + const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string + + let omitMetadataKeys: string[] = [] + if (_omitMetadataKeys) { + omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) + } + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const braveApiKey = getCredentialParam('braveApiKey', credentialData, nodeData) + const loader = new BraveSearch({ apiKey: braveApiKey }) + + let docs: IDocument[] = [] + const searchResults = await loader._call(query) // Use _call method for search + const parsedResults = JSON.parse(searchResults) // Parse the JSON string to get documents + + // Format the results to match the expected Document structure + docs = parsedResults.map( + (result: any) => + new Document({ + pageContent: result.snippet, // Assuming snippet is the content + metadata: { + title: result.title, + link: result.link + } + }) + ) + + if (textSplitter) { + docs = await textSplitter.splitDocuments(docs) + } + + if (metadata) { + const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? { + ...parsedMetadata + } + : omit( + { + ...doc.metadata, + ...parsedMetadata + }, + omitMetadataKeys + ) + })) + } else { + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? {} + : omit( + { + ...doc.metadata + }, + omitMetadataKeys + ) + })) + } + + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } + } +} + +module.exports = { nodeClass: BraveSearchAPI_DocumentLoaders } diff --git a/packages/components/nodes/documentloaders/BraveSearchAPI/brave.svg b/packages/components/nodes/documentloaders/BraveSearchAPI/brave.svg new file mode 100644 index 00000000000..b1e233577b7 --- /dev/null +++ b/packages/components/nodes/documentloaders/BraveSearchAPI/brave.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/packages/components/nodes/documentloaders/Cheerio/Cheerio.ts b/packages/components/nodes/documentloaders/Cheerio/Cheerio.ts index 7889d8866e3..851fdd21754 100644 --- a/packages/components/nodes/documentloaders/Cheerio/Cheerio.ts +++ b/packages/components/nodes/documentloaders/Cheerio/Cheerio.ts @@ -4,9 +4,9 @@ import { CheerioWebBaseLoader, WebBaseLoaderParams } from '@langchain/community/ import { Document } from '@langchain/core/documents' import { test } from 'linkifyjs' import { parse } from 'css-what' -import { webCrawl, xmlScrape } from '../../../src' import { SelectorType } from 'cheerio' -import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INodeOutputsValue, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { handleEscapeCharacters, webCrawl, xmlScrape } from '../../../src/utils' class CustomCheerioLoader extends CheerioWebBaseLoader { // Additional parameters for customizing the loader's behavior @@ -58,11 +58,12 @@ class Cheerio_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Cheerio Web Scraper' this.name = 'cheerioWebScraper' - this.version = 1.1 + this.version = 2.0 this.type = 'Document' this.icon = 'cheerio.svg' this.category = 'Document Loaders' @@ -170,6 +171,20 @@ class Cheerio_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -182,6 +197,7 @@ class Cheerio_DocumentLoaders implements INode { const outputParams = { outputFormat, excludeSelector } let limit = parseInt(nodeData.inputs?.limit as string) + const output = nodeData.outputs?.output as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string @@ -287,7 +303,15 @@ class Cheerio_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Confluence/Confluence.ts b/packages/components/nodes/documentloaders/Confluence/Confluence.ts index e148713b053..776d28547b4 100644 --- a/packages/components/nodes/documentloaders/Confluence/Confluence.ts +++ b/packages/components/nodes/documentloaders/Confluence/Confluence.ts @@ -1,8 +1,8 @@ import { omit } from 'lodash' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { ConfluencePagesLoader, ConfluencePagesLoaderParams } from '@langchain/community/document_loaders/web/confluence' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' +import { ICommonObject, INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' class Confluence_DocumentLoaders implements INode { label: string @@ -15,11 +15,12 @@ class Confluence_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Confluence' this.name = 'confluence' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'confluence.svg' this.category = 'Document Loaders' @@ -79,6 +80,20 @@ class Confluence_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -88,6 +103,7 @@ class Confluence_DocumentLoaders implements INode { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -157,7 +173,15 @@ class Confluence_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Csv/Csv.ts b/packages/components/nodes/documentloaders/Csv/Csv.ts index 749c3e5583c..10186cf23a2 100644 --- a/packages/components/nodes/documentloaders/Csv/Csv.ts +++ b/packages/components/nodes/documentloaders/Csv/Csv.ts @@ -1,8 +1,7 @@ -import { omit } from 'lodash' -import { ICommonObject, IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' -import { CSVLoader } from '@langchain/community/document_loaders/fs/csv' -import { getFileFromStorage, handleEscapeCharacters } from '../../../src' +import { CSVLoader } from './CsvLoader' +import { getFileFromStorage, handleDocumentLoaderDocuments, handleDocumentLoaderMetadata, handleDocumentLoaderOutput } from '../../../src' +import { ICommonObject, IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' class Csv_DocumentLoaders implements INode { label: string @@ -19,7 +18,7 @@ class Csv_DocumentLoaders implements INode { constructor() { this.label = 'Csv File' this.name = 'csvFile' - this.version = 2.0 + this.version = 3.0 this.type = 'Document' this.icon = 'csv.svg' this.category = 'Document Loaders' @@ -82,21 +81,11 @@ class Csv_DocumentLoaders implements INode { ] } - async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const textSplitter = nodeData.inputs?.textSplitter as TextSplitter + getFiles(nodeData: INodeData) { const csvFileBase64 = nodeData.inputs?.csvFile as string - const columnName = nodeData.inputs?.columnName as string - const metadata = nodeData.inputs?.metadata - const output = nodeData.outputs?.output as string - const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string - let omitMetadataKeys: string[] = [] - if (_omitMetadataKeys) { - omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) - } - - let docs: IDocument[] = [] let files: string[] = [] + let fromStorage: boolean = true if (csvFileBase64.startsWith('FILE-STORAGE::')) { const fileName = csvFileBase64.replace('FILE-STORAGE::', '') @@ -105,20 +94,6 @@ class Csv_DocumentLoaders implements INode { } else { files = [fileName] } - const chatflowid = options.chatflowid - - for (const file of files) { - const fileData = await getFileFromStorage(file, chatflowid) - const blob = new Blob([fileData]) - const loader = new CSVLoader(blob, columnName.trim().length === 0 ? undefined : columnName.trim()) - - if (textSplitter) { - docs = await loader.load() - docs = await textSplitter.splitDocuments(docs) - } else { - docs.push(...(await loader.load())) - } - } } else { if (csvFileBase64.startsWith('[') && csvFileBase64.endsWith(']')) { files = JSON.parse(csvFileBase64) @@ -126,63 +101,49 @@ class Csv_DocumentLoaders implements INode { files = [csvFileBase64] } - for (const file of files) { - const splitDataURI = file.split(',') - splitDataURI.pop() - const bf = Buffer.from(splitDataURI.pop() || '', 'base64') - const blob = new Blob([bf]) - const loader = new CSVLoader(blob, columnName.trim().length === 0 ? undefined : columnName.trim()) - - if (textSplitter) { - docs = await loader.load() - docs = await textSplitter.splitDocuments(docs) - } else { - docs.push(...(await loader.load())) - } - } + fromStorage = false } - if (metadata) { - const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? { - ...parsedMetadata - } - : omit( - { - ...doc.metadata, - ...parsedMetadata - }, - omitMetadataKeys - ) - })) + return { files, fromStorage } + } + + async getFileData(file: string, { chatflowid }: { chatflowid: string }, fromStorage?: boolean) { + if (fromStorage) { + return getFileFromStorage(file, chatflowid) } else { - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? {} - : omit( - { - ...doc.metadata - }, - omitMetadataKeys - ) - })) + const splitDataURI = file.split(',') + splitDataURI.pop() + return Buffer.from(splitDataURI.pop() || '', 'base64') } + } - if (output === 'document') { - return docs - } else { - let finaltext = '' - for (const doc of docs) { - finaltext += `${doc.pageContent}\n` - } - return handleEscapeCharacters(finaltext, false) + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const textSplitter = nodeData.inputs?.textSplitter as TextSplitter + const columnName = nodeData.inputs?.columnName as string + const metadata = nodeData.inputs?.metadata + const output = nodeData.outputs?.output as string + const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + + let docs: IDocument[] = [] + + const chatflowid = options.chatflowid + + const { files, fromStorage } = this.getFiles(nodeData) + + for (const file of files) { + if (!file) continue + + const fileData = await this.getFileData(file, { chatflowid }, fromStorage) + const blob = new Blob([fileData]) + const loader = new CSVLoader(blob, columnName.trim().length === 0 ? undefined : columnName.trim()) + + // use spread instead of push, because it raises RangeError: Maximum call stack size exceeded when too many docs + docs = [...docs, ...(await handleDocumentLoaderDocuments(loader, textSplitter))] } + + docs = handleDocumentLoaderMetadata(docs, _omitMetadataKeys, metadata) + + return handleDocumentLoaderOutput(docs, output) } } diff --git a/packages/components/nodes/documentloaders/Csv/CsvLoader.ts b/packages/components/nodes/documentloaders/Csv/CsvLoader.ts new file mode 100644 index 00000000000..35d4a1fce63 --- /dev/null +++ b/packages/components/nodes/documentloaders/Csv/CsvLoader.ts @@ -0,0 +1,74 @@ +import { TextLoader } from 'langchain/document_loaders/fs/text' +import Papa from 'papaparse' + +type CSVLoaderOptions = { + // Return specifific column from key (string) or index (integer) + column?: string | number + // Force separator (default: auto detect) + separator?: string +} + +/** + * A class that extends the TextLoader class. It represents a document + * loader that loads documents from a CSV file. It has a constructor that + * takes a `filePathOrBlob` parameter representing the path to the CSV + * file or a Blob object, and an optional `options` parameter of type + * `CSVLoaderOptions` or a string representing the column to use as the + * document's pageContent. + */ +export class CSVLoader extends TextLoader { + protected options: CSVLoaderOptions = {} + + constructor(filePathOrBlob: ConstructorParameters[0], options?: CSVLoaderOptions | string) { + super(filePathOrBlob) + + if (typeof options === 'string') { + this.options = { column: options } + } else { + this.options = options ?? this.options + } + } + /** + * A protected method that parses the raw CSV data and returns an array of + * strings representing the pageContent of each document. It uses the + * `papaparse` to parse the CSV data. If + * the `column` option is specified, it checks if the column exists in the + * CSV file and returns the values of that column as the pageContent. If + * the `column` option is not specified, it converts each row of the CSV + * data into key/value pairs and joins them with newline characters. + * @param raw The raw CSV data to be parsed. + * @returns An array of strings representing the pageContent of each document. + */ + async parse(raw: string): Promise { + const { column, separator } = this.options + + const { + data: parsed, + meta: { fields = [] } + } = Papa.parse<{ [K: string]: string }>(raw.trim(), { + delimiter: separator, + header: true + }) + + if (column !== undefined) { + if (!fields.length) { + throw new Error(`Unable to resolve fields from header.`) + } + + let searchIdx = column + + if (typeof column == 'number') { + searchIdx = fields[column] + } + + if (!fields.includes(searchIdx as string)) { + throw new Error(`Column ${column} not found in CSV file.`) + } + + // Note TextLoader will raise an exception if the value is null. + return parsed.map((row) => row[searchIdx]) + } + + return parsed.map((row) => fields.map((key) => `${key.trim() || '_0'}: ${row[key]?.trim()}`).join('\n')) + } +} diff --git a/packages/components/nodes/documentloaders/CustomDocumentLoader/CustomDocumentLoader.ts b/packages/components/nodes/documentloaders/CustomDocumentLoader/CustomDocumentLoader.ts index efc7efa1bd1..ed19a01e731 100644 --- a/packages/components/nodes/documentloaders/CustomDocumentLoader/CustomDocumentLoader.ts +++ b/packages/components/nodes/documentloaders/CustomDocumentLoader/CustomDocumentLoader.ts @@ -1,5 +1,5 @@ import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' -import { NodeVM } from 'vm2' +import { NodeVM } from '@flowiseai/nodevm' import { DataSource } from 'typeorm' import { availableDependencies, defaultAllowBuiltInDep, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' @@ -11,7 +11,6 @@ class CustomDocumentLoader_DocumentLoaders implements INode { type: string icon: string category: string - badge: string baseClasses: string[] inputs: INodeParams[] outputs: INodeOutputsValue[] @@ -107,7 +106,14 @@ class CustomDocumentLoader_DocumentLoaders implements INode { } } - let sandbox: any = { $input: input } + let sandbox: any = { + $input: input, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } sandbox['$vars'] = prepareSandboxVars(variables) sandbox['$flow'] = flow @@ -129,7 +135,10 @@ class CustomDocumentLoader_DocumentLoaders implements INode { require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(nodeVMOptions) diff --git a/packages/components/nodes/documentloaders/DocumentStore/DocStoreLoader.ts b/packages/components/nodes/documentloaders/DocumentStore/DocStoreLoader.ts index decd209d6c3..ceac3a72393 100644 --- a/packages/components/nodes/documentloaders/DocumentStore/DocStoreLoader.ts +++ b/packages/components/nodes/documentloaders/DocumentStore/DocStoreLoader.ts @@ -14,7 +14,6 @@ class DocStore_DocumentLoaders implements INode { baseClasses: string[] inputs: INodeParams[] outputs: INodeOutputsValue[] - badge: string constructor() { this.label = 'Document Store' diff --git a/packages/components/nodes/documentloaders/Docx/Docx.ts b/packages/components/nodes/documentloaders/Docx/Docx.ts index 11dbfffc61d..70ab2c5c747 100644 --- a/packages/components/nodes/documentloaders/Docx/Docx.ts +++ b/packages/components/nodes/documentloaders/Docx/Docx.ts @@ -1,8 +1,8 @@ import { omit } from 'lodash' -import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, IDocument, INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { DocxLoader } from '@langchain/community/document_loaders/fs/docx' -import { getFileFromStorage } from '../../../src' +import { getFileFromStorage, handleEscapeCharacters } from '../../../src' class Docx_DocumentLoaders implements INode { label: string @@ -14,11 +14,12 @@ class Docx_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Docx File' this.name = 'docxFile' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'docx.svg' this.category = 'Document Loaders' @@ -57,6 +58,20 @@ class Docx_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -64,6 +79,7 @@ class Docx_DocumentLoaders implements INode { const docxFileBase64 = nodeData.inputs?.docxFile as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -83,6 +99,7 @@ class Docx_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const blob = new Blob([fileData]) const loader = new DocxLoader(blob) @@ -103,6 +120,7 @@ class Docx_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') @@ -151,7 +169,15 @@ class Docx_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Epub/Epub.ts b/packages/components/nodes/documentloaders/Epub/Epub.ts new file mode 100644 index 00000000000..088d01a4e19 --- /dev/null +++ b/packages/components/nodes/documentloaders/Epub/Epub.ts @@ -0,0 +1,202 @@ +import { omit } from 'lodash' +import { IDocument, ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { TextSplitter } from 'langchain/text_splitter' +import { getFileFromStorage, handleEscapeCharacters, INodeOutputsValue } from '../../../src' +import { EPubLoader } from '@langchain/community/document_loaders/fs/epub' + +import * as fs from 'fs' +import * as path from 'path' +class Epub_DocumentLoaders implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'Epub File' + this.name = 'epubFile' + this.version = 1.0 + this.type = 'Document' + this.icon = 'epub.svg' + this.category = 'Document Loaders' + this.description = 'Load data from EPUB files' + this.baseClasses = [this.type] + + this.inputs = [ + { + label: 'Epub File', + name: 'epubFile', + type: 'file', + fileType: '.epub' + }, + { + label: 'Text Splitter', + name: 'textSplitter', + type: 'TextSplitter', + optional: true + }, + { + label: 'Usage', + name: 'usage', + type: 'options', + options: [ + { + label: 'One document per chapter', + name: 'perChapter' + }, + { + label: 'One document per file', + name: 'perFile' + } + ], + default: 'perChapter' + }, + { + label: 'Additional Metadata', + name: 'metadata', + type: 'json', + description: 'Additional metadata to be added to the extracted documents', + optional: true, + additionalParams: true + }, + { + label: 'Omit Metadata Keys', + name: 'omitMetadataKeys', + type: 'string', + rows: 4, + description: 'Metadata keys to omit, comma-separated', + placeholder: 'key1, key2, key3', + optional: true, + additionalParams: true + } + ] + + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated text from documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const textSplitter = nodeData.inputs?.textSplitter as TextSplitter + const epubFileBase64 = nodeData.inputs?.epubFile as string + const usage = nodeData.inputs?.usage as string + const metadata = nodeData.inputs?.metadata + const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string + + let omitMetadataKeys: string[] = [] + if (_omitMetadataKeys) { + omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) + } + + let docs: IDocument[] = [] + let files: string[] = [] + + const tempDir = path.join(process.cwd(), 'temp_epub_files') + fs.mkdirSync(tempDir, { recursive: true }) + + try { + if (epubFileBase64.startsWith('FILE-STORAGE::')) { + const fileName = epubFileBase64.replace('FILE-STORAGE::', '') + files = fileName.startsWith('[') && fileName.endsWith(']') ? JSON.parse(fileName) : [fileName] + + const chatflowid = options.chatflowid + + for (const file of files) { + if (!file) continue + const fileData = await getFileFromStorage(file, chatflowid) + const tempFilePath = path.join(tempDir, `${Date.now()}_${file}`) + fs.writeFileSync(tempFilePath, fileData) + await this.extractDocs(usage, tempFilePath, textSplitter, docs) + } + } else { + files = epubFileBase64.startsWith('[') && epubFileBase64.endsWith(']') ? JSON.parse(epubFileBase64) : [epubFileBase64] + + for (const file of files) { + if (!file) continue + const splitDataURI = file.split(',') + splitDataURI.pop() + const fileBuffer = Buffer.from(splitDataURI.pop() || '', 'base64') + const tempFilePath = path.join(tempDir, `${Date.now()}_epub_file.epub`) + fs.writeFileSync(tempFilePath, fileBuffer) + await this.extractDocs(usage, tempFilePath, textSplitter, docs) + } + } + + if (metadata) { + const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? { + ...parsedMetadata + } + : omit( + { + ...doc.metadata, + ...parsedMetadata + }, + omitMetadataKeys + ) + })) + } else { + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? {} + : omit( + { + ...doc.metadata + }, + omitMetadataKeys + ) + })) + } + + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } + } catch (error) { + console.error('Error processing EPUB files:', error) + throw error + } finally { + fs.rmSync(tempDir, { recursive: true, force: true }) + } + } + + private async extractDocs(usage: string, filePath: string, textSplitter: TextSplitter, docs: IDocument[]) { + const loader = new EPubLoader(filePath, { splitChapters: usage === 'perChapter' }) + const loadedDocs = await loader.load() + + const processedDocs = textSplitter ? await textSplitter.splitDocuments(loadedDocs) : loadedDocs + + docs.push(...processedDocs) + } +} + +module.exports = { nodeClass: Epub_DocumentLoaders } diff --git a/packages/components/nodes/documentloaders/Epub/epub.svg b/packages/components/nodes/documentloaders/Epub/epub.svg new file mode 100644 index 00000000000..e33f34f56f4 --- /dev/null +++ b/packages/components/nodes/documentloaders/Epub/epub.svg @@ -0,0 +1,4 @@ + + + \ No newline at end of file diff --git a/packages/components/nodes/documentloaders/Figma/Figma.ts b/packages/components/nodes/documentloaders/Figma/Figma.ts index cb44e0dfe65..d07c681a2ca 100644 --- a/packages/components/nodes/documentloaders/Figma/Figma.ts +++ b/packages/components/nodes/documentloaders/Figma/Figma.ts @@ -1,6 +1,6 @@ import { omit } from 'lodash' -import { getCredentialData, getCredentialParam } from '../../../src' -import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src' +import { ICommonObject, IDocument, INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' import { FigmaFileLoader, FigmaLoaderParams } from '@langchain/community/document_loaders/web/figma' import { TextSplitter } from 'langchain/text_splitter' @@ -15,11 +15,12 @@ class Figma_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Figma' this.name = 'figma' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'figma.svg' this.category = 'Document Loaders' @@ -80,6 +81,20 @@ class Figma_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -88,6 +103,7 @@ class Figma_DocumentLoaders implements INode { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -146,7 +162,15 @@ class Figma_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/File/File.ts b/packages/components/nodes/documentloaders/File/File.ts new file mode 100644 index 00000000000..2a8bea1a3b7 --- /dev/null +++ b/packages/components/nodes/documentloaders/File/File.ts @@ -0,0 +1,339 @@ +import { omit } from 'lodash' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { TextSplitter } from 'langchain/text_splitter' +import { TextLoader } from 'langchain/document_loaders/fs/text' +import { JSONLinesLoader, JSONLoader } from 'langchain/document_loaders/fs/json' +import { CSVLoader } from '@langchain/community/document_loaders/fs/csv' +import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf' +import { DocxLoader } from '@langchain/community/document_loaders/fs/docx' +import { BaseDocumentLoader } from 'langchain/document_loaders/base' +import { Document } from '@langchain/core/documents' +import { getFileFromStorage } from '../../../src/storageUtils' +import { handleEscapeCharacters, mapMimeTypeToExt } from '../../../src/utils' + +class File_DocumentLoaders implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'File Loader' + this.name = 'fileLoader' + this.version = 2.0 + this.type = 'Document' + this.icon = 'file.svg' + this.category = 'Document Loaders' + this.description = `A generic file loader that can load txt, json, csv, docx, pdf, and other files` + this.baseClasses = [this.type] + this.inputs = [ + { + label: 'File', + name: 'file', + type: 'file', + fileType: '*' + }, + { + label: 'Text Splitter', + name: 'textSplitter', + type: 'TextSplitter', + optional: true + }, + { + label: 'Pdf Usage', + name: 'pdfUsage', + type: 'options', + description: 'Only when loading PDF files', + options: [ + { + label: 'One document per page', + name: 'perPage' + }, + { + label: 'One document per file', + name: 'perFile' + } + ], + default: 'perPage', + optional: true, + additionalParams: true + }, + { + label: 'JSONL Pointer Extraction', + name: 'pointerName', + type: 'string', + description: 'Only when loading JSONL files', + placeholder: '', + optional: true, + additionalParams: true + }, + { + label: 'Additional Metadata', + name: 'metadata', + type: 'json', + description: 'Additional metadata to be added to the extracted documents', + optional: true, + additionalParams: true + }, + { + label: 'Omit Metadata Keys', + name: 'omitMetadataKeys', + type: 'string', + rows: 4, + description: + 'Each document loader comes with a default set of metadata keys that are extracted from the document. You can use this field to omit some of the default metadata keys. The value should be a list of keys, seperated by comma. Use * to omit all metadata keys execept the ones you specify in the Additional Metadata field', + placeholder: 'key1, key2, key3.nestedKey1', + optional: true, + additionalParams: true + } + ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const textSplitter = nodeData.inputs?.textSplitter as TextSplitter + const fileBase64 = nodeData.inputs?.file as string + const metadata = nodeData.inputs?.metadata + const pdfUsage = nodeData.inputs?.pdfUsage + const pointerName = nodeData.inputs?.pointerName as string + const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string + + let omitMetadataKeys: string[] = [] + if (_omitMetadataKeys) { + omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) + } + + let files: string[] = [] + const fileBlobs: { blob: Blob; ext: string }[] = [] + + //FILE-STORAGE::["CONTRIBUTING.md","LICENSE.md","README.md"] + const totalFiles = getOverrideFileInputs(nodeData) || fileBase64 + if (totalFiles.startsWith('FILE-STORAGE::')) { + const fileName = totalFiles.replace('FILE-STORAGE::', '') + if (fileName.startsWith('[') && fileName.endsWith(']')) { + files = JSON.parse(fileName) + } else { + files = [fileName] + } + const chatflowid = options.chatflowid + + // specific to createAttachment to get files from chatId + const retrieveAttachmentChatId = options.retrieveAttachmentChatId + if (retrieveAttachmentChatId) { + for (const file of files) { + if (!file) continue + const fileData = await getFileFromStorage(file, chatflowid, options.chatId) + const blob = new Blob([fileData]) + fileBlobs.push({ blob, ext: file.split('.').pop() || '' }) + } + } else { + for (const file of files) { + if (!file) continue + const fileData = await getFileFromStorage(file, chatflowid) + const blob = new Blob([fileData]) + fileBlobs.push({ blob, ext: file.split('.').pop() || '' }) + } + } + } else { + if (totalFiles.startsWith('[') && totalFiles.endsWith(']')) { + files = JSON.parse(totalFiles) + } else { + files = [totalFiles] + } + + for (const file of files) { + if (!file) continue + const splitDataURI = file.split(',') + splitDataURI.pop() + const bf = Buffer.from(splitDataURI.pop() || '', 'base64') + const blob = new Blob([bf]) + + let extension = '' + // eslint-disable-next-line no-useless-escape + const match = file.match(/^data:([A-Za-z-+\/]+);base64,/) + + if (!match) { + fileBlobs.push({ + blob, + ext: extension + }) + } else { + const mimeType = match[1] + fileBlobs.push({ + blob, + ext: mapMimeTypeToExt(mimeType) + }) + } + } + } + + const loader = new MultiFileLoader(fileBlobs, { + json: (blob) => new JSONLoader(blob), + jsonl: (blob) => new JSONLinesLoader(blob, '/' + pointerName.trim()), + txt: (blob) => new TextLoader(blob), + csv: (blob) => new CSVLoader(blob), + xls: (blob) => new CSVLoader(blob), + xlsx: (blob) => new CSVLoader(blob), + docx: (blob) => new DocxLoader(blob), + doc: (blob) => new DocxLoader(blob), + pdf: (blob) => + pdfUsage === 'perFile' + ? // @ts-ignore + new PDFLoader(blob, { splitPages: false, pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') }) + : // @ts-ignore + new PDFLoader(blob, { pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') }), + '': (blob) => new TextLoader(blob) + }) + let docs = [] + + if (textSplitter) { + docs = await loader.load() + docs = await textSplitter.splitDocuments(docs) + } else { + docs = await loader.load() + } + + if (metadata) { + const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? { + ...parsedMetadata + } + : omit( + { + ...doc.metadata, + ...parsedMetadata + }, + omitMetadataKeys + ) + })) + } else { + docs = docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? {} + : omit( + { + ...doc.metadata + }, + omitMetadataKeys + ) + })) + } + + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } + } +} + +const getOverrideFileInputs = (nodeData: INodeData) => { + const txtFileBase64 = nodeData.inputs?.txtFile as string + const pdfFileBase64 = nodeData.inputs?.pdfFile as string + const jsonFileBase64 = nodeData.inputs?.jsonFile as string + const csvFileBase64 = nodeData.inputs?.csvFile as string + const jsonlinesFileBase64 = nodeData.inputs?.jsonlinesFile as string + const docxFileBase64 = nodeData.inputs?.docxFile as string + const yamlFileBase64 = nodeData.inputs?.yamlFile as string + + const removePrefix = (storageFile: string): string[] => { + const fileName = storageFile.replace('FILE-STORAGE::', '') + if (fileName.startsWith('[') && fileName.endsWith(']')) { + return JSON.parse(fileName) + } + return [fileName] + } + + // If exists, combine all file inputs into an array + const files: string[] = [] + if (txtFileBase64) { + files.push(...removePrefix(txtFileBase64)) + } + if (pdfFileBase64) { + files.push(...removePrefix(pdfFileBase64)) + } + if (jsonFileBase64) { + files.push(...removePrefix(jsonFileBase64)) + } + if (csvFileBase64) { + files.push(...removePrefix(csvFileBase64)) + } + if (jsonlinesFileBase64) { + files.push(...removePrefix(jsonlinesFileBase64)) + } + if (docxFileBase64) { + files.push(...removePrefix(docxFileBase64)) + } + if (yamlFileBase64) { + files.push(...removePrefix(yamlFileBase64)) + } + + return files.length ? `FILE-STORAGE::${JSON.stringify(files)}` : '' +} + +interface LoadersMapping { + [extension: string]: (blob: Blob) => BaseDocumentLoader +} + +class MultiFileLoader extends BaseDocumentLoader { + constructor(public fileBlobs: { blob: Blob; ext: string }[], public loaders: LoadersMapping) { + super() + + if (Object.keys(loaders).length === 0) { + throw new Error('Must provide at least one loader') + } + } + + public async load(): Promise { + const documents: Document[] = [] + + for (const fileBlob of this.fileBlobs) { + const loaderFactory = this.loaders[fileBlob.ext] + if (loaderFactory) { + const loader = loaderFactory(fileBlob.blob) + documents.push(...(await loader.load())) + } else { + const loader = new TextLoader(fileBlob.blob) + try { + documents.push(...(await loader.load())) + } catch (error) { + throw new Error(`Error loading file`) + } + } + } + + return documents + } +} + +module.exports = { nodeClass: File_DocumentLoaders } diff --git a/packages/components/nodes/documentloaders/File/file.svg b/packages/components/nodes/documentloaders/File/file.svg new file mode 100644 index 00000000000..8963ffbc5dc --- /dev/null +++ b/packages/components/nodes/documentloaders/File/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/documentloaders/FireCrawl/FireCrawl.ts b/packages/components/nodes/documentloaders/FireCrawl/FireCrawl.ts index 4669bfd24e9..a2707d13b07 100644 --- a/packages/components/nodes/documentloaders/FireCrawl/FireCrawl.ts +++ b/packages/components/nodes/documentloaders/FireCrawl/FireCrawl.ts @@ -1,8 +1,8 @@ import { TextSplitter } from 'langchain/text_splitter' import { Document, DocumentInterface } from '@langchain/core/documents' import { BaseDocumentLoader } from 'langchain/document_loaders/base' -import { INode, INodeData, INodeParams, ICommonObject } from '../../../src/Interface' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { INode, INodeData, INodeParams, ICommonObject, INodeOutputsValue } from '../../../src/Interface' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' import axios, { AxiosResponse, AxiosRequestHeaders } from 'axios' import { z } from 'zod' import { zodToJsonSchema } from 'zod-to-json-schema' @@ -194,19 +194,21 @@ class FirecrawlApp { interface FirecrawlLoaderParameters { url: string apiKey?: string + apiUrl?: string mode?: 'crawl' | 'scrape' params?: Record } class FireCrawlLoader extends BaseDocumentLoader { private apiKey: string + private apiUrl: string private url: string private mode: 'crawl' | 'scrape' private params?: Record constructor(loaderParams: FirecrawlLoaderParameters) { super() - const { apiKey, url, mode = 'crawl', params } = loaderParams + const { apiKey, apiUrl, url, mode = 'crawl', params } = loaderParams if (!apiKey) { throw new Error('Firecrawl API key not set. You can set it as FIRECRAWL_API_KEY in your .env file, or pass it to Firecrawl.') } @@ -215,10 +217,11 @@ class FireCrawlLoader extends BaseDocumentLoader { this.url = url this.mode = mode this.params = params + this.apiUrl = apiUrl || 'https://api.firecrawl.dev' } public async load(): Promise { - const app = new FirecrawlApp({ apiKey: this.apiKey }) + const app = new FirecrawlApp({ apiKey: this.apiKey, apiUrl: this.apiUrl }) let firecrawlDocs: FirecrawlDocument[] if (this.mode === 'scrape') { @@ -256,16 +259,23 @@ class FireCrawl_DocumentLoaders implements INode { baseClasses: string[] inputs: INodeParams[] credential: INodeParams + outputs: INodeOutputsValue[] constructor() { this.label = 'FireCrawl' this.name = 'fireCrawl' this.type = 'Document' this.icon = 'firecrawl.png' - this.version = 1.0 + this.version = 2.1 this.category = 'Document Loaders' this.description = 'Load data from URL using FireCrawl' this.baseClasses = [this.type] + this.credential = { + label: 'FireCrawl API', + name: 'credential', + type: 'credential', + credentialNames: ['fireCrawlApi'] + } this.inputs = [ { label: 'Text Splitter', @@ -297,15 +307,59 @@ class FireCrawl_DocumentLoaders implements INode { } ], default: 'crawl' + }, + { + // maxCrawlPages + label: 'Max Crawl Pages', + name: 'maxCrawlPages', + type: 'string', + description: 'Maximum number of pages to crawl', + optional: true, + additionalParams: true + }, + { + // generateImgAltText + label: 'Generate Image Alt Text', + name: 'generateImgAltText', + type: 'boolean', + description: 'Generate alt text for images', + optional: true, + additionalParams: true + }, + { + // returnOnlyUrls + label: 'Return Only URLs', + name: 'returnOnlyUrls', + type: 'boolean', + description: 'Return only URLs of the crawled pages', + optional: true, + additionalParams: true + }, + { + // onlyMainContent + label: 'Only Main Content', + name: 'onlyMainContent', + type: 'boolean', + description: 'Extract only the main content of the page', + optional: true, + additionalParams: true } // ... (other input parameters) ] - this.credential = { - label: 'FireCrawl API', - name: 'credential', - type: 'credential', - credentialNames: ['fireCrawlApi'] - } + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -319,6 +373,8 @@ class FireCrawl_DocumentLoaders implements INode { const onlyMainContent = nodeData.inputs?.onlyMainContent as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const firecrawlApiToken = getCredentialParam('firecrawlApiToken', credentialData, nodeData) + const firecrawlApiUrl = getCredentialParam('firecrawlApiUrl', credentialData, nodeData, 'https://api.firecrawl.dev') + const output = nodeData.outputs?.output as string const urlPatternsExcludes = nodeData.inputs?.urlPatternsExcludes ? (nodeData.inputs.urlPatternsExcludes.split(',') as string[]) @@ -331,6 +387,7 @@ class FireCrawl_DocumentLoaders implements INode { url, mode: crawlerType as 'crawl' | 'scrape', apiKey: firecrawlApiToken, + apiUrl: firecrawlApiUrl, params: { crawlerOptions: { includes: urlPatternsIncludes, @@ -344,7 +401,6 @@ class FireCrawl_DocumentLoaders implements INode { } } } - const loader = new FireCrawlLoader(input) let docs = [] @@ -371,7 +427,15 @@ class FireCrawl_DocumentLoaders implements INode { return finaldocs } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Folder/Folder.ts b/packages/components/nodes/documentloaders/Folder/Folder.ts index fe289f84b8d..1a6afe05718 100644 --- a/packages/components/nodes/documentloaders/Folder/Folder.ts +++ b/packages/components/nodes/documentloaders/Folder/Folder.ts @@ -1,12 +1,13 @@ import { omit } from 'lodash' -import { INode, INodeData, INodeParams } from '../../../src/Interface' +import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { TextLoader } from 'langchain/document_loaders/fs/text' import { DirectoryLoader } from 'langchain/document_loaders/fs/directory' -import { JSONLoader } from 'langchain/document_loaders/fs/json' +import { JSONLinesLoader, JSONLoader } from 'langchain/document_loaders/fs/json' import { CSVLoader } from '@langchain/community/document_loaders/fs/csv' import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf' import { DocxLoader } from '@langchain/community/document_loaders/fs/docx' +import { handleEscapeCharacters } from '../../../src/utils' class Folder_DocumentLoaders implements INode { label: string @@ -18,11 +19,12 @@ class Folder_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Folder with Files' this.name = 'folderFiles' - this.version = 2.0 + this.version = 4.0 this.type = 'Document' this.icon = 'folder.svg' this.category = 'Document Loaders' @@ -51,6 +53,7 @@ class Folder_DocumentLoaders implements INode { label: 'Pdf Usage', name: 'pdfUsage', type: 'options', + description: 'Only when loading PDF files', options: [ { label: 'One document per page', @@ -65,6 +68,15 @@ class Folder_DocumentLoaders implements INode { optional: true, additionalParams: true }, + { + label: 'JSONL Pointer Extraction', + name: 'pointerName', + type: 'string', + description: 'Only when loading JSONL files', + placeholder: '', + optional: true, + additionalParams: true + }, { label: 'Additional Metadata', name: 'metadata', @@ -85,6 +97,20 @@ class Folder_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData): Promise { @@ -93,7 +119,9 @@ class Folder_DocumentLoaders implements INode { const metadata = nodeData.inputs?.metadata const recursive = nodeData.inputs?.recursive as boolean const pdfUsage = nodeData.inputs?.pdfUsage + const pointerName = nodeData.inputs?.pointerName as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -104,8 +132,12 @@ class Folder_DocumentLoaders implements INode { folderPath, { '.json': (path) => new JSONLoader(path), + '.jsonl': (blob) => new JSONLinesLoader(blob, '/' + pointerName.trim()), '.txt': (path) => new TextLoader(path), '.csv': (path) => new CSVLoader(path), + '.xls': (path) => new CSVLoader(path), + '.xlsx': (path) => new CSVLoader(path), + '.doc': (path) => new DocxLoader(path), '.docx': (path) => new DocxLoader(path), '.pdf': (path) => pdfUsage === 'perFile' @@ -191,7 +223,15 @@ class Folder_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Gitbook/Gitbook.ts b/packages/components/nodes/documentloaders/Gitbook/Gitbook.ts index ae4ed951b14..a8db37f7f95 100644 --- a/packages/components/nodes/documentloaders/Gitbook/Gitbook.ts +++ b/packages/components/nodes/documentloaders/Gitbook/Gitbook.ts @@ -1,7 +1,8 @@ import { omit } from 'lodash' -import { IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { GitbookLoader } from '@langchain/community/document_loaders/web/gitbook' +import { handleEscapeCharacters } from '../../../src/utils' class Gitbook_DocumentLoaders implements INode { label: string @@ -13,11 +14,12 @@ class Gitbook_DocumentLoaders implements INode { category: string baseClasses: string[] inputs?: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'GitBook' this.name = 'gitbook' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'gitbook.svg' this.category = 'Document Loaders' @@ -64,6 +66,20 @@ class Gitbook_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData): Promise { const webPath = nodeData.inputs?.webPath as string @@ -71,6 +87,7 @@ class Gitbook_DocumentLoaders implements INode { const textSplitter = nodeData.inputs?.textSplitter as TextSplitter const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -120,7 +137,15 @@ class Gitbook_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Github/Github.ts b/packages/components/nodes/documentloaders/Github/Github.ts index b19cf3c5ec6..116b7f6fd7d 100644 --- a/packages/components/nodes/documentloaders/Github/Github.ts +++ b/packages/components/nodes/documentloaders/Github/Github.ts @@ -2,7 +2,7 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { GithubRepoLoader, GithubRepoLoaderParams } from '@langchain/community/document_loaders/web/github' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters, INodeOutputsValue } from '../../../src' class Github_DocumentLoaders implements INode { label: string @@ -15,11 +15,12 @@ class Github_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Github' this.name = 'github' - this.version = 2.0 + this.version = 3.0 this.type = 'Document' this.icon = 'github.svg' this.category = 'Document Loaders' @@ -106,6 +107,20 @@ class Github_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -118,6 +133,7 @@ class Github_DocumentLoaders implements INode { const maxRetries = nodeData.inputs?.maxRetries as string const ignorePath = nodeData.inputs?.ignorePath as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -181,7 +197,15 @@ class Github_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Json/Json.ts b/packages/components/nodes/documentloaders/Json/Json.ts index ba017d89d91..ee07f1369be 100644 --- a/packages/components/nodes/documentloaders/Json/Json.ts +++ b/packages/components/nodes/documentloaders/Json/Json.ts @@ -1,8 +1,36 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' -import { JSONLoader } from 'langchain/document_loaders/fs/json' -import { getFileFromStorage } from '../../../src' +import { getFileFromStorage, handleEscapeCharacters, INodeOutputsValue } from '../../../src' +import { Document } from '@langchain/core/documents' +import jsonpointer from 'jsonpointer' +import type { readFile as ReadFileT } from 'node:fs/promises' +import { BaseDocumentLoader } from 'langchain/document_loaders/base' + +const howToUseCode = ` +You can add metadata dynamically from the document: + +For example, if the JSON document is: +\`\`\`json +[ + { + "url": "https://www.google.com", + "body": "This is body 1" + }, + { + "url": "https://www.yahoo.com", + "body": "This is body 2" + } +] + +\`\`\` + +You can have the "url" value as metadata by returning the following: +\`\`\`json +{ + "url": "/url" +} +\`\`\`` class Json_DocumentLoaders implements INode { label: string @@ -14,11 +42,12 @@ class Json_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Json File' this.name = 'jsonFile' - this.version = 1.0 + this.version = 3.0 this.type = 'Document' this.icon = 'json.svg' this.category = 'Document Loaders' @@ -41,15 +70,21 @@ class Json_DocumentLoaders implements INode { label: 'Pointers Extraction (separated by commas)', name: 'pointersName', type: 'string', - description: 'Extracting multiple pointers', - placeholder: 'Enter pointers name', + description: + 'Ex: { "key": "value" }, Pointer Extraction = "key", "value" will be extracted as pageContent of the chunk. Use comma to separate multiple pointers', + placeholder: 'key1, key2', optional: true }, { label: 'Additional Metadata', name: 'metadata', type: 'json', - description: 'Additional metadata to be added to the extracted documents', + description: + 'Additional metadata to be added to the extracted documents. You can add metadata dynamically from the document. Ex: { "key": "value", "source": "www.example.com" }. Metadata: { "page": "/source" } will extract the value of the key "source" from the document and add it to the metadata with the key "page"', + hint: { + label: 'How to use', + value: howToUseCode + }, optional: true, additionalParams: true }, @@ -65,6 +100,20 @@ class Json_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -73,6 +122,7 @@ class Json_DocumentLoaders implements INode { const pointersName = nodeData.inputs?.pointersName as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -99,9 +149,10 @@ class Json_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const blob = new Blob([fileData]) - const loader = new JSONLoader(blob, pointers.length != 0 ? pointers : undefined) + const loader = new JSONLoader(blob, pointers.length != 0 ? pointers : undefined, metadata) if (textSplitter) { let splittedDocs = await loader.load() @@ -119,11 +170,12 @@ class Json_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') const blob = new Blob([bf]) - const loader = new JSONLoader(blob, pointers.length != 0 ? pointers : undefined) + const loader = new JSONLoader(blob, pointers.length != 0 ? pointers : undefined, metadata) if (textSplitter) { let splittedDocs = await loader.load() @@ -136,7 +188,8 @@ class Json_DocumentLoaders implements INode { } if (metadata) { - const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + let parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + parsedMetadata = removeValuesStartingWithSlash(parsedMetadata) docs = docs.map((doc) => ({ ...doc, metadata: @@ -167,7 +220,221 @@ class Json_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } + } +} + +const removeValuesStartingWithSlash = (obj: Record): Record => { + const result: Record = {} + + for (const key in obj) { + const value = obj[key] + if (typeof value === 'string' && value.startsWith('/')) { + continue + } + result[key] = value + } + + return result +} + +class TextLoader extends BaseDocumentLoader { + constructor(public filePathOrBlob: string | Blob) { + super() + } + + protected async parse(raw: string): Promise<{ pageContent: string; metadata: ICommonObject }[]> { + return [{ pageContent: raw, metadata: {} }] + } + + public async load(): Promise { + let text: string + let metadata: Record + if (typeof this.filePathOrBlob === 'string') { + const { readFile } = await TextLoader.imports() + text = await readFile(this.filePathOrBlob, 'utf8') + metadata = { source: this.filePathOrBlob } + } else { + text = await this.filePathOrBlob.text() + metadata = { source: 'blob', blobType: this.filePathOrBlob.type } + } + const parsed = await this.parse(text) + parsed.forEach((parsedData, i) => { + const { pageContent } = parsedData + if (typeof pageContent !== 'string') { + throw new Error(`Expected string, at position ${i} got ${typeof pageContent}`) + } + }) + return parsed.map((parsedData, i) => { + const { pageContent, metadata: additionalMetadata } = parsedData + return new Document({ + pageContent, + metadata: + parsed.length === 1 + ? { ...metadata, ...additionalMetadata } + : { + ...metadata, + line: i + 1, + ...additionalMetadata + } + }) + }) + } + + static async imports(): Promise<{ + readFile: typeof ReadFileT + }> { + try { + const { readFile } = await import('node:fs/promises') + return { readFile } + } catch (e) { + console.error(e) + throw new Error(`Failed to load fs/promises. Make sure you are running in Node.js environment.`) + } + } +} + +class JSONLoader extends TextLoader { + public pointers: string[] + private metadataMapping: Record + + constructor(filePathOrBlob: string | Blob, pointers: string | string[] = [], metadataMapping: Record = {}) { + super(filePathOrBlob) + this.pointers = Array.isArray(pointers) ? pointers : [pointers] + if (metadataMapping) { + this.metadataMapping = typeof metadataMapping === 'object' ? metadataMapping : JSON.parse(metadataMapping) + } + } + + protected async parse(raw: string): Promise { + const json = JSON.parse(raw.trim()) + const documents: Document[] = [] + + // Handle both single object and array of objects + const jsonArray = Array.isArray(json) ? json : [json] + + for (const item of jsonArray) { + const content = this.extractContent(item) + const metadata = this.extractMetadata(item) + + for (const pageContent of content) { + documents.push({ + pageContent, + metadata + }) + } + } + + return documents + } + + /** + * Extracts content based on specified pointers or all strings if no pointers + */ + private extractContent(json: any): string[] { + const compiledPointers = this.pointers.map((pointer) => jsonpointer.compile(pointer)) + + return this.extractArrayStringsFromObject(json, compiledPointers, !(this.pointers.length > 0)) + } + + /** + * Extracts metadata based on the mapping configuration + */ + private extractMetadata(json: any): Record { + let metadata: Record = {} + + if (this.metadataMapping) { + const values = Object.values(this.metadataMapping).filter((value) => typeof value === 'string' && value.startsWith('/')) + for (const value of values) { + if (value) { + const key = Object.keys(this.metadataMapping).find((key) => this.metadataMapping?.[key] === value) + if (key) { + metadata = { + ...metadata, + [key]: jsonpointer.get(json, value) + } + } + } + } + } + + return metadata + } + + /** + * If JSON pointers are specified, return all strings below any of them + * and exclude all other nodes expect if they match a JSON pointer. + * If no JSON pointer is specified then return all string in the object. + */ + private extractArrayStringsFromObject( + json: any, + pointers: jsonpointer[], + extractAllStrings = false, + keyHasBeenFound = false + ): string[] { + if (!json) { + return [] + } + + if (typeof json === 'string' && extractAllStrings) { + return [json] + } + + if (Array.isArray(json) && extractAllStrings) { + let extractedString: string[] = [] + for (const element of json) { + extractedString = extractedString.concat(this.extractArrayStringsFromObject(element, pointers, true)) + } + return extractedString + } + + if (typeof json === 'object') { + if (extractAllStrings) { + return this.extractArrayStringsFromObject(Object.values(json), pointers, true) + } + + const targetedEntries = this.getTargetedEntries(json, pointers) + const thisLevelEntries = Object.values(json) as object[] + const notTargetedEntries = thisLevelEntries.filter((entry: object) => !targetedEntries.includes(entry)) + + let extractedStrings: string[] = [] + if (targetedEntries.length > 0) { + for (const oneEntry of targetedEntries) { + extractedStrings = extractedStrings.concat(this.extractArrayStringsFromObject(oneEntry, pointers, true, true)) + } + + for (const oneEntry of notTargetedEntries) { + extractedStrings = extractedStrings.concat(this.extractArrayStringsFromObject(oneEntry, pointers, false, true)) + } + } else if (extractAllStrings || !keyHasBeenFound) { + for (const oneEntry of notTargetedEntries) { + extractedStrings = extractedStrings.concat(this.extractArrayStringsFromObject(oneEntry, pointers, extractAllStrings)) + } + } + + return extractedStrings + } + + return [] + } + + private getTargetedEntries(json: object, pointers: jsonpointer[]): object[] { + const targetEntries = [] + for (const pointer of pointers) { + const targetedEntry = pointer.get(json) + if (targetedEntry) { + targetEntries.push(targetedEntry) + } + } + return targetEntries } } diff --git a/packages/components/nodes/documentloaders/Jsonlines/Jsonlines.ts b/packages/components/nodes/documentloaders/Jsonlines/Jsonlines.ts index 1a4cbb613f1..fe345e00d52 100644 --- a/packages/components/nodes/documentloaders/Jsonlines/Jsonlines.ts +++ b/packages/components/nodes/documentloaders/Jsonlines/Jsonlines.ts @@ -1,8 +1,31 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' -import { JSONLinesLoader } from 'langchain/document_loaders/fs/json' -import { getFileFromStorage } from '../../../src' +import jsonpointer from 'jsonpointer' +import { getFileFromStorage, handleEscapeCharacters, INodeOutputsValue } from '../../../src' +import { BaseDocumentLoader } from 'langchain/document_loaders/base' +import { Document } from '@langchain/core/documents' +import type { readFile as ReadFileT } from 'node:fs/promises' + +const howToUseCode = ` +You can add metadata dynamically from the document: + +For example, if the document is: +\`\`\`jsonl +{ + "source": "www.example.com", "content": "Hello World!" +} +{ + "source": "www.example2.com", "content": "Hi World!" +} +\`\`\` + +You can have the "source" value as metadata by returning the following: +\`\`\`json +{ + "source": "/source" +} +\`\`\`` class Jsonlines_DocumentLoaders implements INode { label: string @@ -14,11 +37,12 @@ class Jsonlines_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Json Lines File' this.name = 'jsonlinesFile' - this.version = 1.0 + this.version = 3.0 this.type = 'Document' this.icon = 'jsonlines.svg' this.category = 'Document Loaders' @@ -41,14 +65,20 @@ class Jsonlines_DocumentLoaders implements INode { label: 'Pointer Extraction', name: 'pointerName', type: 'string', - placeholder: 'Enter pointer name', + placeholder: 'key', + description: 'Ex: { "key": "value" }, Pointer Extraction = "key", "value" will be extracted as pageContent of the chunk', optional: false }, { label: 'Additional Metadata', name: 'metadata', type: 'json', - description: 'Additional metadata to be added to the extracted documents', + description: + 'Additional metadata to be added to the extracted documents. You can add metadata dynamically from the document. Ex: { "key": "value", "source": "www.example.com" }. Metadata: { "page": "/source" } will extract the value of the key "source" from the document and add it to the metadata with the key "page"', + hint: { + label: 'How to use', + value: howToUseCode + }, optional: true, additionalParams: true }, @@ -64,6 +94,20 @@ class Jsonlines_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -72,6 +116,7 @@ class Jsonlines_DocumentLoaders implements INode { const pointerName = nodeData.inputs?.pointerName as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -93,9 +138,10 @@ class Jsonlines_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const blob = new Blob([fileData]) - const loader = new JSONLinesLoader(blob, pointer) + const loader = new JSONLinesLoader(blob, pointer, metadata) if (textSplitter) { let splittedDocs = await loader.load() @@ -113,11 +159,12 @@ class Jsonlines_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') const blob = new Blob([bf]) - const loader = new JSONLinesLoader(blob, pointer) + const loader = new JSONLinesLoader(blob, pointer, metadata) if (textSplitter) { let splittedDocs = await loader.load() @@ -130,7 +177,8 @@ class Jsonlines_DocumentLoaders implements INode { } if (metadata) { - const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + let parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + parsedMetadata = removeValuesStartingWithSlash(parsedMetadata) docs = docs.map((doc) => ({ ...doc, metadata: @@ -161,7 +209,133 @@ class Jsonlines_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } + } +} + +const removeValuesStartingWithSlash = (obj: Record): Record => { + const result: Record = {} + + for (const key in obj) { + const value = obj[key] + if (typeof value === 'string' && value.startsWith('/')) { + continue + } + result[key] = value + } + + return result +} + +class TextLoader extends BaseDocumentLoader { + constructor(public filePathOrBlob: string | Blob) { + super() + } + + protected async parse(raw: string): Promise<{ pageContent: string; metadata: ICommonObject }[]> { + return [{ pageContent: raw, metadata: {} }] + } + + public async load(): Promise { + let text: string + let metadata: Record + if (typeof this.filePathOrBlob === 'string') { + const { readFile } = await TextLoader.imports() + text = await readFile(this.filePathOrBlob, 'utf8') + metadata = { source: this.filePathOrBlob } + } else { + text = await this.filePathOrBlob.text() + metadata = { source: 'blob', blobType: this.filePathOrBlob.type } + } + const parsed = await this.parse(text) + parsed.forEach((parsedData, i) => { + const { pageContent } = parsedData + if (typeof pageContent !== 'string') { + throw new Error(`Expected string, at position ${i} got ${typeof pageContent}`) + } + }) + return parsed.map((parsedData, i) => { + const { pageContent, metadata: additionalMetadata } = parsedData + return new Document({ + pageContent, + metadata: + parsed.length === 1 + ? { ...metadata, ...additionalMetadata } + : { + ...metadata, + line: i + 1, + ...additionalMetadata + } + }) + }) + } + + static async imports(): Promise<{ + readFile: typeof ReadFileT + }> { + try { + const { readFile } = await import('node:fs/promises') + return { readFile } + } catch (e) { + console.error(e) + throw new Error(`Failed to load fs/promises. Make sure you are running in Node.js environment.`) + } + } +} + +class JSONLinesLoader extends TextLoader { + metadata?: ICommonObject + additionalMetadata: ICommonObject[] = [] + + constructor(filePathOrBlob: string | Blob, public pointer: string, metadata?: any) { + super(filePathOrBlob) + if (metadata) { + this.metadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) + } + } + + async getAdditionalMetadata(): Promise { + return this.additionalMetadata + } + + protected async parse(raw: string): Promise<{ pageContent: string; metadata: ICommonObject }[]> { + const lines = raw.split('\n') + const jsons = lines + .map((line) => line.trim()) + .filter(Boolean) + .map((line) => JSON.parse(line)) + const pointer = jsonpointer.compile(this.pointer) + if (this.metadata) { + const values = Object.values(this.metadata).filter((value) => typeof value === 'string' && value.startsWith('/')) + let newJsons = [] + for (const json of jsons) { + let metadata = {} + for (const value of values) { + if (value) { + const key = Object.keys(this.metadata).find((key) => this.metadata?.[key] === value) + if (key) { + metadata = { + ...metadata, + [key]: jsonpointer.get(json, value) + } + } + } + } + newJsons.push({ pageContent: pointer.get(json), metadata }) + } + return newJsons + } + return jsons.map((json) => { + return { pageContent: pointer.get(json), metadata: {} } + }) } } diff --git a/packages/components/nodes/documentloaders/Notion/NotionDB.ts b/packages/components/nodes/documentloaders/Notion/NotionDB.ts index a38db89cb1d..7fe3fe43c6d 100644 --- a/packages/components/nodes/documentloaders/Notion/NotionDB.ts +++ b/packages/components/nodes/documentloaders/Notion/NotionDB.ts @@ -2,7 +2,7 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { NotionAPILoader, NotionAPILoaderOptions } from '@langchain/community/document_loaders/web/notionapi' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters, INodeOutputsValue } from '../../../src' class NotionDB_DocumentLoaders implements INode { label: string @@ -15,11 +15,12 @@ class NotionDB_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Notion Database' this.name = 'notionDB' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'notion-db.svg' this.category = 'Document Loaders' @@ -64,6 +65,20 @@ class NotionDB_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -71,6 +86,7 @@ class NotionDB_DocumentLoaders implements INode { const databaseId = nodeData.inputs?.databaseId as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -133,7 +149,15 @@ class NotionDB_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Notion/NotionFolder.ts b/packages/components/nodes/documentloaders/Notion/NotionFolder.ts index 507d722e98e..fc9b6201b3c 100644 --- a/packages/components/nodes/documentloaders/Notion/NotionFolder.ts +++ b/packages/components/nodes/documentloaders/Notion/NotionFolder.ts @@ -1,7 +1,8 @@ import { omit } from 'lodash' -import { IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' +import { IDocument, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { NotionLoader } from '@langchain/community/document_loaders/fs/notion' +import { handleEscapeCharacters } from '../../../src/utils' class NotionFolder_DocumentLoaders implements INode { label: string @@ -13,11 +14,12 @@ class NotionFolder_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Notion Folder' this.name = 'notionFolder' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'notion-folder.svg' this.category = 'Document Loaders' @@ -57,6 +59,20 @@ class NotionFolder_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData): Promise { @@ -64,6 +80,7 @@ class NotionFolder_DocumentLoaders implements INode { const notionFolder = nodeData.inputs?.notionFolder as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -112,7 +129,15 @@ class NotionFolder_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Notion/NotionPage.ts b/packages/components/nodes/documentloaders/Notion/NotionPage.ts index b21a3219aa4..a6338d7f0bd 100644 --- a/packages/components/nodes/documentloaders/Notion/NotionPage.ts +++ b/packages/components/nodes/documentloaders/Notion/NotionPage.ts @@ -2,7 +2,7 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { NotionAPILoader, NotionAPILoaderOptions } from '@langchain/community/document_loaders/web/notionapi' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters, INodeOutputsValue } from '../../../src' class NotionPage_DocumentLoaders implements INode { label: string @@ -15,11 +15,12 @@ class NotionPage_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Notion Page' this.name = 'notionPage' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'notion-page.svg' this.category = 'Document Loaders' @@ -65,6 +66,20 @@ class NotionPage_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -72,6 +87,7 @@ class NotionPage_DocumentLoaders implements INode { const pageId = nodeData.inputs?.pageId as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -130,7 +146,15 @@ class NotionPage_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Pdf/Pdf.ts b/packages/components/nodes/documentloaders/Pdf/Pdf.ts index 95566f592a2..7e4c777ffae 100644 --- a/packages/components/nodes/documentloaders/Pdf/Pdf.ts +++ b/packages/components/nodes/documentloaders/Pdf/Pdf.ts @@ -2,7 +2,7 @@ import { omit } from 'lodash' import { IDocument, ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf' -import { getFileFromStorage } from '../../../src' +import { getFileFromStorage, handleEscapeCharacters, INodeOutputsValue } from '../../../src' class Pdf_DocumentLoaders implements INode { label: string @@ -14,11 +14,12 @@ class Pdf_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Pdf File' this.name = 'pdfFile' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'pdf.svg' this.category = 'Document Loaders' @@ -80,6 +81,20 @@ class Pdf_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -89,6 +104,7 @@ class Pdf_DocumentLoaders implements INode { const metadata = nodeData.inputs?.metadata const legacyBuild = nodeData.inputs?.legacyBuild as boolean const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -109,6 +125,7 @@ class Pdf_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const bf = Buffer.from(fileData) await this.extractDocs(usage, bf, legacyBuild, textSplitter, docs) @@ -121,6 +138,7 @@ class Pdf_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') @@ -160,7 +178,15 @@ class Pdf_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } private async extractDocs(usage: string, bf: Buffer, legacyBuild: boolean, textSplitter: TextSplitter, docs: IDocument[]) { diff --git a/packages/components/nodes/documentloaders/Playwright/Playwright.ts b/packages/components/nodes/documentloaders/Playwright/Playwright.ts index bdb6590104b..f0946dbd834 100644 --- a/packages/components/nodes/documentloaders/Playwright/Playwright.ts +++ b/packages/components/nodes/documentloaders/Playwright/Playwright.ts @@ -8,7 +8,7 @@ import { PlaywrightWebBaseLoaderOptions } from '@langchain/community/document_loaders/web/playwright' import { test } from 'linkifyjs' -import { webCrawl, xmlScrape } from '../../../src' +import { handleEscapeCharacters, INodeOutputsValue, webCrawl, xmlScrape } from '../../../src' class Playwright_DocumentLoaders implements INode { label: string @@ -20,11 +20,12 @@ class Playwright_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Playwright Web Scraper' this.name = 'playwrightWebScraper' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'playwright.svg' this.category = 'Document Loaders' @@ -132,6 +133,20 @@ class Playwright_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -143,6 +158,7 @@ class Playwright_DocumentLoaders implements INode { let waitUntilGoToOption = nodeData.inputs?.waitUntilGoToOption as 'load' | 'domcontentloaded' | 'networkidle' | 'commit' | undefined let waitForSelector = nodeData.inputs?.waitForSelector as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -251,7 +267,15 @@ class Playwright_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Puppeteer/Puppeteer.ts b/packages/components/nodes/documentloaders/Puppeteer/Puppeteer.ts index a47d8abcd45..fa88f96328d 100644 --- a/packages/components/nodes/documentloaders/Puppeteer/Puppeteer.ts +++ b/packages/components/nodes/documentloaders/Puppeteer/Puppeteer.ts @@ -3,7 +3,7 @@ import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../. import { TextSplitter } from 'langchain/text_splitter' import { Browser, Page, PuppeteerWebBaseLoader, PuppeteerWebBaseLoaderOptions } from '@langchain/community/document_loaders/web/puppeteer' import { test } from 'linkifyjs' -import { webCrawl, xmlScrape } from '../../../src' +import { handleEscapeCharacters, INodeOutputsValue, webCrawl, xmlScrape } from '../../../src' import { PuppeteerLifeCycleEvent } from 'puppeteer' class Puppeteer_DocumentLoaders implements INode { @@ -16,11 +16,12 @@ class Puppeteer_DocumentLoaders implements INode { category: string baseClasses: string[] inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Puppeteer Web Scraper' this.name = 'puppeteerWebScraper' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'puppeteer.svg' this.category = 'Document Loaders' @@ -128,6 +129,20 @@ class Puppeteer_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -139,6 +154,7 @@ class Puppeteer_DocumentLoaders implements INode { let waitUntilGoToOption = nodeData.inputs?.waitUntilGoToOption as PuppeteerLifeCycleEvent let waitForSelector = nodeData.inputs?.waitForSelector as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -247,7 +263,15 @@ class Puppeteer_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/S3Directory/S3Directory.ts b/packages/components/nodes/documentloaders/S3Directory/S3Directory.ts index cb2ea79150f..072822aef38 100644 --- a/packages/components/nodes/documentloaders/S3Directory/S3Directory.ts +++ b/packages/components/nodes/documentloaders/S3Directory/S3Directory.ts @@ -1,6 +1,11 @@ -import { omit } from 'lodash' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { + getCredentialData, + getCredentialParam, + handleDocumentLoaderDocuments, + handleDocumentLoaderMetadata, + handleDocumentLoaderOutput +} from '../../../src/utils' import { S3Client, GetObjectCommand, S3ClientConfig, ListObjectsV2Command, ListObjectsV2Output } from '@aws-sdk/client-s3' import { getRegions, MODEL_TYPE } from '../../../src/modelLoader' import { Readable } from 'node:stream' @@ -10,12 +15,13 @@ import * as os from 'node:os' import { DirectoryLoader } from 'langchain/document_loaders/fs/directory' import { JSONLoader } from 'langchain/document_loaders/fs/json' -import { CSVLoader } from '@langchain/community/document_loaders/fs/csv' import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf' import { DocxLoader } from '@langchain/community/document_loaders/fs/docx' import { TextLoader } from 'langchain/document_loaders/fs/text' import { TextSplitter } from 'langchain/text_splitter' +import { CSVLoader } from '../Csv/CsvLoader' + class S3_DocumentLoaders implements INode { label: string name: string @@ -27,11 +33,12 @@ class S3_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs?: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'S3 Directory' this.name = 's3Directory' - this.version = 3.0 + this.version = 4.0 this.type = 'Document' this.icon = 's3.svg' this.category = 'Document Loaders' @@ -117,6 +124,20 @@ class S3_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } loadMethods = { @@ -134,11 +155,7 @@ class S3_DocumentLoaders implements INode { const pdfUsage = nodeData.inputs?.pdfUsage const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string - - let omitMetadataKeys: string[] = [] - if (_omitMetadataKeys) { - omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) - } + const output = nodeData.outputs?.output as string let credentials: S3ClientConfig['credentials'] | undefined @@ -225,11 +242,11 @@ class S3_DocumentLoaders implements INode { '.csv': (path) => new CSVLoader(path), '.docx': (path) => new DocxLoader(path), '.pdf': (path) => - pdfUsage === 'perFile' - ? // @ts-ignore - new PDFLoader(path, { splitPages: false, pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') }) - : // @ts-ignore - new PDFLoader(path, { pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') }), + new PDFLoader(path, { + splitPages: pdfUsage !== 'perFile', + // @ts-ignore + pdfjs: () => import('pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js') + }), '.aspx': (path) => new TextLoader(path), '.asp': (path) => new TextLoader(path), '.cpp': (path) => new TextLoader(path), // C++ @@ -268,55 +285,16 @@ class S3_DocumentLoaders implements INode { true ) - let docs = [] + let docs = await handleDocumentLoaderDocuments(loader, textSplitter) - if (textSplitter) { - let splittedDocs = await loader.load() - splittedDocs = await textSplitter.splitDocuments(splittedDocs) - docs.push(...splittedDocs) - } else { - docs = await loader.load() - } + docs = handleDocumentLoaderMetadata(docs, _omitMetadataKeys, metadata) - if (metadata) { - const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? { - ...parsedMetadata - } - : omit( - { - ...doc.metadata, - ...parsedMetadata - }, - omitMetadataKeys - ) - })) - } else { - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? {} - : omit( - { - ...doc.metadata - }, - omitMetadataKeys - ) - })) - } - - // remove the temp directory before returning docs - fsDefault.rmSync(tempDir, { recursive: true }) - - return docs + return handleDocumentLoaderOutput(docs, output) } catch (e: any) { - fsDefault.rmSync(tempDir, { recursive: true }) throw new Error(`Failed to load data from bucket ${bucketName}: ${e.message}`) + } finally { + // remove the temp directory before returning docs + fsDefault.rmSync(tempDir, { recursive: true }) } } } diff --git a/packages/components/nodes/documentloaders/S3File/README.md b/packages/components/nodes/documentloaders/S3File/README.md new file mode 100644 index 00000000000..ad069f5db80 --- /dev/null +++ b/packages/components/nodes/documentloaders/S3File/README.md @@ -0,0 +1,13 @@ +# S3 File Loader + +DS File Loarder integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| -------------------- | ----------------------------------------------- | ------ | ---------------------------------------- | +| UNSTRUCTURED_API_URL | Default `unstructuredApiUrl` for S3 File Loader | String | http://localhost:8000/general/v0/general | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/documentloaders/S3File/S3File.ts b/packages/components/nodes/documentloaders/S3File/S3File.ts index 2e8fcaf1852..51c1980459c 100644 --- a/packages/components/nodes/documentloaders/S3File/S3File.ts +++ b/packages/components/nodes/documentloaders/S3File/S3File.ts @@ -1,5 +1,4 @@ -import { omit } from 'lodash' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { S3Loader } from '@langchain/community/document_loaders/web/s3' import { UnstructuredLoader, @@ -8,7 +7,13 @@ import { SkipInferTableTypes, HiResModelName } from '@langchain/community/document_loaders/fs/unstructured' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { + getCredentialData, + getCredentialParam, + handleDocumentLoaderDocuments, + handleDocumentLoaderMetadata, + handleDocumentLoaderOutput +} from '../../../src/utils' import { S3Client, GetObjectCommand, S3ClientConfig } from '@aws-sdk/client-s3' import { getRegions, MODEL_TYPE } from '../../../src/modelLoader' import { Readable } from 'node:stream' @@ -27,11 +32,12 @@ class S3_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs?: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'S3' this.name = 'S3' - this.version = 3.0 + this.version = 4.0 this.type = 'Document' this.icon = 's3.svg' this.category = 'Document Loaders' @@ -70,7 +76,8 @@ class S3_DocumentLoaders implements INode { description: 'Your Unstructured.io URL. Read more on how to get started', type: 'string', - default: 'http://localhost:8000/general/v0/general' + placeholder: process.env.UNSTRUCTURED_API_URL || 'http://localhost:8000/general/v0/general', + optional: !!process.env.UNSTRUCTURED_API_URL }, { label: 'Unstructured API KEY', @@ -433,6 +440,20 @@ class S3_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } loadMethods = { @@ -465,11 +486,7 @@ class S3_DocumentLoaders implements INode { const newAfterNChars = nodeData.inputs?.newAfterNChars as number const maxCharacters = nodeData.inputs?.maxCharacters as number const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string - - let omitMetadataKeys: string[] = [] - if (_omitMetadataKeys) { - omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) - } + const output = nodeData.outputs?.output as string let credentials: S3ClientConfig['credentials'] | undefined @@ -555,48 +572,15 @@ class S3_DocumentLoaders implements INode { const unstructuredLoader = new UnstructuredLoader(filePath, obj) - let docs = await unstructuredLoader.load() - - if (metadata) { - const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata) - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? { - ...parsedMetadata - } - : omit( - { - ...doc.metadata, - ...parsedMetadata, - [sourceIdKey]: doc.metadata[sourceIdKey] || sourceIdKey - }, - omitMetadataKeys - ) - })) - } else { - docs = docs.map((doc) => ({ - ...doc, - metadata: - _omitMetadataKeys === '*' - ? {} - : omit( - { - ...doc.metadata, - [sourceIdKey]: doc.metadata[sourceIdKey] || sourceIdKey - }, - omitMetadataKeys - ) - })) - } + let docs = await handleDocumentLoaderDocuments(unstructuredLoader) - fsDefault.rmSync(path.dirname(filePath), { recursive: true }) + docs = handleDocumentLoaderMetadata(docs, _omitMetadataKeys, metadata, sourceIdKey) - return docs + return handleDocumentLoaderOutput(docs, output) } catch { - fsDefault.rmSync(path.dirname(filePath), { recursive: true }) throw new Error(`Failed to load file ${filePath} using unstructured loader.`) + } finally { + fsDefault.rmSync(path.dirname(filePath), { recursive: true }) } } diff --git a/packages/components/nodes/documentloaders/SearchApi/SearchAPI.ts b/packages/components/nodes/documentloaders/SearchApi/SearchAPI.ts index 4a86162469e..4ab028be4ab 100644 --- a/packages/components/nodes/documentloaders/SearchApi/SearchAPI.ts +++ b/packages/components/nodes/documentloaders/SearchApi/SearchAPI.ts @@ -2,7 +2,7 @@ import { omit } from 'lodash' import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { SearchApiLoader } from '@langchain/community/document_loaders/web/searchapi' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters, INodeOutputsValue } from '../../../src' // Provides access to multiple search engines using the SearchApi. // For available parameters & engines, refer to: https://www.searchapi.io/docs/google @@ -17,11 +17,12 @@ class SearchAPI_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'SearchApi For Web Search' this.name = 'searchApi' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'searchapi.svg' this.category = 'Document Loaders' @@ -74,6 +75,20 @@ class SearchAPI_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -82,6 +97,7 @@ class SearchAPI_DocumentLoaders implements INode { const customParameters = nodeData.inputs?.customParameters const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -146,7 +162,15 @@ class SearchAPI_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts b/packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts index 1710e006d00..0220cf4fb22 100644 --- a/packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts +++ b/packages/components/nodes/documentloaders/SerpApi/SerpAPI.ts @@ -1,8 +1,8 @@ import { omit } from 'lodash' -import { ICommonObject, IDocument, INode, INodeData, INodeParams } from '../../../src/Interface' import { TextSplitter } from 'langchain/text_splitter' import { SerpAPILoader } from '@langchain/community/document_loaders/web/serpapi' -import { getCredentialData, getCredentialParam } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src' +import { ICommonObject, IDocument, INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' class SerpAPI_DocumentLoaders implements INode { label: string @@ -15,11 +15,12 @@ class SerpAPI_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'SerpApi For Web Search' this.name = 'serpApi' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'serp.svg' this.category = 'Document Loaders' @@ -64,6 +65,20 @@ class SerpAPI_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -71,6 +86,7 @@ class SerpAPI_DocumentLoaders implements INode { const query = nodeData.inputs?.query as string const metadata = nodeData.inputs?.metadata const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -121,7 +137,15 @@ class SerpAPI_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Spider/Spider.ts b/packages/components/nodes/documentloaders/Spider/Spider.ts index 3dbb4baf5ba..71e5d46aa2d 100644 --- a/packages/components/nodes/documentloaders/Spider/Spider.ts +++ b/packages/components/nodes/documentloaders/Spider/Spider.ts @@ -2,8 +2,8 @@ import { omit } from 'lodash' import { TextSplitter } from 'langchain/text_splitter' import { Document, DocumentInterface } from '@langchain/core/documents' import { BaseDocumentLoader } from 'langchain/document_loaders/base' -import { INode, INodeData, INodeParams, ICommonObject } from '../../../src/Interface' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { INode, INodeData, INodeParams, ICommonObject, INodeOutputsValue } from '../../../src/Interface' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' import SpiderApp from './SpiderApp' interface SpiderLoaderParameters { @@ -85,11 +85,12 @@ class Spider_DocumentLoaders implements INode { baseClasses: string[] inputs: INodeParams[] credential: INodeParams + outputs: INodeOutputsValue[] constructor() { this.label = 'Spider Document Loaders' this.name = 'spiderDocumentLoaders' - this.version = 1.0 + this.version = 2.0 this.type = 'Document' this.icon = 'spider.svg' this.category = 'Document Loaders' @@ -168,6 +169,20 @@ class Spider_DocumentLoaders implements INode { type: 'credential', credentialNames: ['spiderApi'] } + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -180,6 +195,7 @@ class Spider_DocumentLoaders implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const spiderApiKey = getCredentialParam('spiderApiKey', credentialData, nodeData) const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -244,7 +260,15 @@ class Spider_DocumentLoaders implements INode { ) })) - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Text/Text.ts b/packages/components/nodes/documentloaders/Text/Text.ts index 13aae026b56..950107d6a7a 100644 --- a/packages/components/nodes/documentloaders/Text/Text.ts +++ b/packages/components/nodes/documentloaders/Text/Text.ts @@ -101,6 +101,7 @@ class Text_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const blob = new Blob([fileData]) const loader = new TextLoader(blob) @@ -121,6 +122,7 @@ class Text_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') diff --git a/packages/components/nodes/documentloaders/Unstructured/README.md b/packages/components/nodes/documentloaders/Unstructured/README.md new file mode 100644 index 00000000000..5295e9f1f38 --- /dev/null +++ b/packages/components/nodes/documentloaders/Unstructured/README.md @@ -0,0 +1,13 @@ +# Unstructured File/Floder Loader + +Unstructured File Loader integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| -------------------- | ---------------------------------------------------- | ------ | ---------------------------------------- | +| UNSTRUCTURED_API_URL | Default `apiUrl` for Unstructured File/Floder Loader | String | http://localhost:8000/general/v0/general | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/documentloaders/Unstructured/Unstructured.ts b/packages/components/nodes/documentloaders/Unstructured/Unstructured.ts index 07ef437f4c1..8f3e49f6258 100644 --- a/packages/components/nodes/documentloaders/Unstructured/Unstructured.ts +++ b/packages/components/nodes/documentloaders/Unstructured/Unstructured.ts @@ -29,9 +29,9 @@ type Element = { export class UnstructuredLoader extends BaseDocumentLoader { public filePath: string - private apiUrl = 'https://api.unstructured.io/general/v0/general' + private apiUrl = process.env.UNSTRUCTURED_API_URL || 'https://api.unstructuredapp.io/general/v0/general' - private apiKey?: string + private apiKey: string | undefined = process.env.UNSTRUCTURED_API_KEY private strategy: StringWithAutocomplete = 'hi_res' @@ -66,10 +66,10 @@ export class UnstructuredLoader extends BaseDocumentLoader { const options = optionsOrLegacyFilePath this.apiKey = options.apiKey - this.apiUrl = options.apiUrl ?? this.apiUrl - this.strategy = options.strategy ?? this.strategy + this.apiUrl = options.apiUrl || this.apiUrl + this.strategy = options.strategy || this.strategy this.encoding = options.encoding - this.ocrLanguages = options.ocrLanguages ?? this.ocrLanguages + this.ocrLanguages = options.ocrLanguages || this.ocrLanguages this.coordinates = options.coordinates this.pdfInferTableStructure = options.pdfInferTableStructure this.xmlKeepTags = options.xmlKeepTags @@ -128,7 +128,7 @@ export class UnstructuredLoader extends BaseDocumentLoader { } const headers = { - 'UNSTRUCTURED-API-KEY': this.apiKey ?? '' + 'UNSTRUCTURED-API-KEY': this.apiKey || '' } const response = await fetch(this.apiUrl, { diff --git a/packages/components/nodes/documentloaders/Unstructured/UnstructuredFile.ts b/packages/components/nodes/documentloaders/Unstructured/UnstructuredFile.ts index df3bb09f6b8..82aa03accec 100644 --- a/packages/components/nodes/documentloaders/Unstructured/UnstructuredFile.ts +++ b/packages/components/nodes/documentloaders/Unstructured/UnstructuredFile.ts @@ -7,8 +7,8 @@ import { HiResModelName, UnstructuredLoader as LCUnstructuredLoader } from '@langchain/community/document_loaders/fs/unstructured' -import { getCredentialData, getCredentialParam } from '../../../src/utils' -import { getFileFromStorage } from '../../../src' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' +import { getFileFromStorage, INodeOutputsValue } from '../../../src' import { UnstructuredLoader } from './Unstructured' class UnstructuredFile_DocumentLoaders implements INode { @@ -22,11 +22,12 @@ class UnstructuredFile_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Unstructured File Loader' this.name = 'unstructuredFileLoader' - this.version = 3.0 + this.version = 4.0 this.type = 'Document' this.icon = 'unstructured-file.svg' this.category = 'Document Loaders' @@ -40,6 +41,7 @@ class UnstructuredFile_DocumentLoaders implements INode { optional: true } this.inputs = [ + /** Deprecated { label: 'File Path', name: 'filePath', @@ -49,6 +51,7 @@ class UnstructuredFile_DocumentLoaders implements INode { warning: 'Use the File Upload instead of File path. If file is uploaded, this path is ignored. Path will be deprecated in future releases.' }, + */ { label: 'Files Upload', name: 'fileObject', @@ -61,9 +64,10 @@ class UnstructuredFile_DocumentLoaders implements INode { label: 'Unstructured API URL', name: 'unstructuredAPIUrl', description: - 'Unstructured API URL. Read more on how to get started', + 'Unstructured API URL. Read more on how to get started', type: 'string', - default: 'http://localhost:8000/general/v0/general' + placeholder: process.env.UNSTRUCTURED_API_URL || 'http://localhost:8000/general/v0/general', + optional: !!process.env.UNSTRUCTURED_API_URL }, { label: 'Strategy', @@ -199,7 +203,7 @@ class UnstructuredFile_DocumentLoaders implements INode { { label: 'Hi-Res Model Name', name: 'hiResModelName', - description: 'The name of the inference model used when strategy is hi_res. Default: detectron2_onnx.', + description: 'The name of the inference model used when strategy is hi_res', type: 'options', options: [ { @@ -226,8 +230,7 @@ class UnstructuredFile_DocumentLoaders implements INode { } ], optional: true, - additionalParams: true, - default: 'detectron2_onnx' + additionalParams: true }, { label: 'Chunking Strategy', @@ -240,9 +243,21 @@ class UnstructuredFile_DocumentLoaders implements INode { label: 'None', name: 'None' }, + { + label: 'Basic', + name: 'basic' + }, { label: 'By Title', name: 'by_title' + }, + { + label: 'By Page', + name: 'by_page' + }, + { + label: 'By Similarity', + name: 'by_similarity' } ], optional: true, @@ -420,6 +435,20 @@ class UnstructuredFile_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -433,16 +462,17 @@ class UnstructuredFile_DocumentLoaders implements INode { : ([] as SkipInferTableTypes[]) const hiResModelName = nodeData.inputs?.hiResModelName as HiResModelName const includePageBreaks = nodeData.inputs?.includePageBreaks as boolean - const chunkingStrategy = nodeData.inputs?.chunkingStrategy as 'None' | 'by_title' + const chunkingStrategy = nodeData.inputs?.chunkingStrategy as string const metadata = nodeData.inputs?.metadata const sourceIdKey = (nodeData.inputs?.sourceIdKey as string) || 'source' const ocrLanguages = nodeData.inputs?.ocrLanguages ? JSON.parse(nodeData.inputs?.ocrLanguages as string) : ([] as string[]) const xmlKeepTags = nodeData.inputs?.xmlKeepTags as boolean const multiPageSections = nodeData.inputs?.multiPageSections as boolean - const combineUnderNChars = nodeData.inputs?.combineUnderNChars as number - const newAfterNChars = nodeData.inputs?.newAfterNChars as number - const maxCharacters = nodeData.inputs?.maxCharacters as number + const combineUnderNChars = nodeData.inputs?.combineUnderNChars as string + const newAfterNChars = nodeData.inputs?.newAfterNChars as string + const maxCharacters = nodeData.inputs?.maxCharacters as string const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -470,10 +500,19 @@ class UnstructuredFile_DocumentLoaders implements INode { chunkingStrategy, ocrLanguages, xmlKeepTags, - multiPageSections, - combineUnderNChars, - newAfterNChars, - maxCharacters + multiPageSections + } + + if (combineUnderNChars) { + obj.combineUnderNChars = parseInt(combineUnderNChars, 10) + } + + if (newAfterNChars) { + obj.newAfterNChars = parseInt(newAfterNChars, 10) + } + + if (maxCharacters) { + obj.maxCharacters = parseInt(maxCharacters, 10) } const credentialData = await getCredentialData(nodeData.credential ?? '', options) @@ -496,6 +535,7 @@ class UnstructuredFile_DocumentLoaders implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const loaderDocs = await loader.loadAndSplitBuffer(fileData, file) docs.push(...loaderDocs) @@ -508,6 +548,7 @@ class UnstructuredFile_DocumentLoaders implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') const filename = splitDataURI.pop()?.split(':')[1] ?? '' const bf = Buffer.from(splitDataURI.pop() || '', 'base64') @@ -557,7 +598,15 @@ class UnstructuredFile_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/documentloaders/Unstructured/UnstructuredFolder.ts b/packages/components/nodes/documentloaders/Unstructured/UnstructuredFolder.ts index 996af5ac1ed..efa20caf189 100644 --- a/packages/components/nodes/documentloaders/Unstructured/UnstructuredFolder.ts +++ b/packages/components/nodes/documentloaders/Unstructured/UnstructuredFolder.ts @@ -1,5 +1,5 @@ import { omit } from 'lodash' -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' import { UnstructuredDirectoryLoader, UnstructuredLoaderOptions, @@ -7,7 +7,7 @@ import { SkipInferTableTypes, HiResModelName } from '@langchain/community/document_loaders/fs/unstructured' -import { getCredentialData, getCredentialParam } from '../../../src/utils' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src/utils' class UnstructuredFolder_DocumentLoaders implements INode { label: string @@ -20,11 +20,12 @@ class UnstructuredFolder_DocumentLoaders implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] + outputs: INodeOutputsValue[] constructor() { this.label = 'Unstructured Folder Loader' this.name = 'unstructuredFolderLoader' - this.version = 2.0 + this.version = 3.0 this.type = 'Document' this.icon = 'unstructured-folder.svg' this.category = 'Document Loaders' @@ -51,7 +52,8 @@ class UnstructuredFolder_DocumentLoaders implements INode { description: 'Unstructured API URL. Read more on how to get started', type: 'string', - default: 'http://localhost:8000/general/v0/general' + placeholder: process.env.UNSTRUCTURED_API_URL || 'http://localhost:8000/general/v0/general', + optional: !!process.env.UNSTRUCTURED_API_URL }, { label: 'Strategy', @@ -399,6 +401,20 @@ class UnstructuredFolder_DocumentLoaders implements INode { additionalParams: true } ] + this.outputs = [ + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: [...this.baseClasses, 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { @@ -422,6 +438,7 @@ class UnstructuredFolder_DocumentLoaders implements INode { const newAfterNChars = nodeData.inputs?.newAfterNChars as number const maxCharacters = nodeData.inputs?.maxCharacters as number const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys as string + const output = nodeData.outputs?.output as string let omitMetadataKeys: string[] = [] if (_omitMetadataKeys) { @@ -486,7 +503,15 @@ class UnstructuredFolder_DocumentLoaders implements INode { })) } - return docs + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } } } diff --git a/packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts b/packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts index df98c3d4072..6e4b747b4b4 100644 --- a/packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts +++ b/packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts @@ -1,7 +1,13 @@ -import { AzureOpenAIInput, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' +import { AzureOpenAIInput, ClientOptions, AzureOpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +const serverCredentialsExists = + !!process.env.AZURE_OPENAI_API_KEY && + !!process.env.AZURE_OPENAI_API_INSTANCE_NAME && + (!!process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME || !!process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME) && + !!process.env.AZURE_OPENAI_API_VERSION + class AzureOpenAIEmbedding_Embeddings implements INode { label: string name: string @@ -17,17 +23,18 @@ class AzureOpenAIEmbedding_Embeddings implements INode { constructor() { this.label = 'Azure OpenAI Embeddings' this.name = 'azureOpenAIEmbeddings' - this.version = 1.0 + this.version = 2.0 this.type = 'AzureOpenAIEmbeddings' this.icon = 'Azure.svg' this.category = 'Embeddings' this.description = 'Azure OpenAI API to generate embeddings for a given text' - this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)] + this.baseClasses = [this.type, ...getBaseClasses(AzureOpenAIEmbeddings)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['azureOpenAIApi'] + credentialNames: ['azureOpenAIApi'], + optional: serverCredentialsExists } this.inputs = [ { @@ -44,6 +51,20 @@ class AzureOpenAIEmbedding_Embeddings implements INode { type: 'number', optional: true, additionalParams: true + }, + { + label: 'BasePath', + name: 'basepath', + type: 'string', + optional: true, + additionalParams: true + }, + { + label: 'BaseOptions', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true } ] } @@ -51,6 +72,8 @@ class AzureOpenAIEmbedding_Embeddings implements INode { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const batchSize = nodeData.inputs?.batchSize as string const timeout = nodeData.inputs?.timeout as string + const basePath = nodeData.inputs?.basepath as string + const baseOptions = nodeData.inputs?.baseOptions const credentialData = await getCredentialData(nodeData.credential ?? '', options) const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData) @@ -58,17 +81,28 @@ class AzureOpenAIEmbedding_Embeddings implements INode { const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData) const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData) - const obj: Partial & Partial = { + const obj: Partial & Partial & { configuration?: ClientOptions } = { azureOpenAIApiKey, azureOpenAIApiInstanceName, azureOpenAIApiDeploymentName, - azureOpenAIApiVersion + azureOpenAIApiVersion, + azureOpenAIBasePath: basePath || undefined } if (batchSize) obj.batchSize = parseInt(batchSize, 10) if (timeout) obj.timeout = parseInt(timeout, 10) + if (baseOptions) { + try { + const parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + obj.configuration = { + defaultHeaders: parsedBaseOptions + } + } catch (exception) { + console.error('Error parsing base options', exception) + } + } - const model = new OpenAIEmbeddings(obj) + const model = new AzureOpenAIEmbeddings(obj) return model } } diff --git a/packages/components/nodes/embeddings/AzureOpenAIEmbedding/README.md b/packages/components/nodes/embeddings/AzureOpenAIEmbedding/README.md new file mode 100644 index 00000000000..bd8df9f5392 --- /dev/null +++ b/packages/components/nodes/embeddings/AzureOpenAIEmbedding/README.md @@ -0,0 +1,16 @@ +# Azure OpenAI Embedding Model + +Azure OpenAI Embedding Model integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| ------------------------------------------- | ------------------------------------------------------------------------ | ------ | ------- | +| AZURE_OPENAI_API_KEY | Default `credential.azureOpenAIApiKey` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_INSTANCE_NAME | Default `credential.azureOpenAIApiInstanceName` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME | Default `credential.azureOpenAIApiDeploymentName` for Azure OpenAI Model | String | | +| AZURE_OPENAI_API_VERSION | Default `credential.azureOpenAIApiVersion` for Azure OpenAI Model | String | | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLM.svg b/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLM.svg deleted file mode 100644 index ed47326a9ae..00000000000 --- a/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLM.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLMEmbedding.ts b/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLMEmbedding.ts deleted file mode 100644 index c93a56bcca9..00000000000 --- a/packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLMEmbedding.ts +++ /dev/null @@ -1,67 +0,0 @@ -import { GooglePaLMEmbeddings, GooglePaLMEmbeddingsParams } from '@langchain/community/embeddings/googlepalm' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { MODEL_TYPE, getModels } from '../../../src/modelLoader' - -class GooglePaLMEmbedding_Embeddings implements INode { - label: string - name: string - version: number - type: string - icon: string - category: string - description: string - baseClasses: string[] - credential: INodeParams - inputs: INodeParams[] - - constructor() { - this.label = 'Google PaLM Embeddings' - this.name = 'googlePaLMEmbeddings' - this.version = 2.0 - this.type = 'GooglePaLMEmbeddings' - this.icon = 'GooglePaLM.svg' - this.category = 'Embeddings' - this.description = 'Google MakerSuite PaLM API to generate embeddings for a given text' - this.baseClasses = [this.type, ...getBaseClasses(GooglePaLMEmbeddings)] - this.credential = { - label: 'Connect Credential', - name: 'credential', - type: 'credential', - credentialNames: ['googleMakerSuite'] - } - this.inputs = [ - { - label: 'Model Name', - name: 'modelName', - type: 'asyncOptions', - loadMethod: 'listModels', - default: 'models/embedding-gecko-001' - } - ] - } - - //@ts-ignore - loadMethods = { - async listModels(): Promise { - return await getModels(MODEL_TYPE.EMBEDDING, 'googlePaLMEmbeddings') - } - } - - async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const modelName = nodeData.inputs?.modelName as string - - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData) - - const obj: Partial = { - modelName: modelName, - apiKey: googleMakerSuiteKey - } - - const model = new GooglePaLMEmbeddings(obj) - return model - } -} - -module.exports = { nodeClass: GooglePaLMEmbedding_Embeddings } diff --git a/packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts b/packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts index fb1d6104775..b34fd954c17 100644 --- a/packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts +++ b/packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts @@ -1,5 +1,4 @@ -import { GoogleAuthOptions } from 'google-auth-library' -import { GoogleVertexAIEmbeddings, GoogleVertexAIEmbeddingsParams } from '@langchain/community/embeddings/googlevertexai' +import { VertexAIEmbeddings, GoogleVertexAIEmbeddingsInput } from '@langchain/google-vertexai' import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { MODEL_TYPE, getModels } from '../../../src/modelLoader' @@ -24,7 +23,7 @@ class GoogleVertexAIEmbedding_Embeddings implements INode { this.icon = 'GoogleVertex.svg' this.category = 'Embeddings' this.description = 'Google vertexAI API to generate embeddings for a given text' - this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAIEmbeddings)] + this.baseClasses = [this.type, ...getBaseClasses(VertexAIEmbeddings)] this.credential = { label: 'Connect Credential', name: 'credential', @@ -59,7 +58,7 @@ class GoogleVertexAIEmbedding_Embeddings implements INode { const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData) const projectID = getCredentialParam('projectID', credentialData, nodeData) - const authOptions: GoogleAuthOptions = {} + const authOptions: any = {} if (Object.keys(credentialData).length !== 0) { if (!googleApplicationCredentialFilePath && !googleApplicationCredential) throw new Error('Please specify your Google Application Credential') @@ -75,11 +74,12 @@ class GoogleVertexAIEmbedding_Embeddings implements INode { if (projectID) authOptions.projectId = projectID } - const obj: GoogleVertexAIEmbeddingsParams = {} - if (modelName) obj.model = modelName + const obj: GoogleVertexAIEmbeddingsInput = { + model: modelName + } if (Object.keys(authOptions).length !== 0) obj.authOptions = authOptions - const model = new GoogleVertexAIEmbeddings(obj) + const model = new VertexAIEmbeddings(obj) return model } } diff --git a/packages/components/nodes/embeddings/IBMWatsonxEmbedding/IBMWatsonxEmbedding.ts b/packages/components/nodes/embeddings/IBMWatsonxEmbedding/IBMWatsonxEmbedding.ts new file mode 100644 index 00000000000..45b0d628db0 --- /dev/null +++ b/packages/components/nodes/embeddings/IBMWatsonxEmbedding/IBMWatsonxEmbedding.ts @@ -0,0 +1,107 @@ +import { WatsonxEmbeddings, WatsonxInputEmbeddings } from '@langchain/community/embeddings/ibm' +import { WatsonxAuth } from '@langchain/community/dist/types/ibm' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class IBMWatsonx_Embeddings implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'IBM Watsonx Embeddings' + this.name = 'ibmEmbedding' + this.version = 1.0 + this.type = 'WatsonxEmbeddings' + this.icon = 'ibm.png' + this.category = 'Embeddings' + this.description = 'Generate embeddings for a given text using open source model on IBM Watsonx' + this.baseClasses = [this.type, ...getBaseClasses(WatsonxEmbeddings)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['ibmWatsonx'] + } + this.inputs = [ + { + label: 'Model Name', + name: 'modelName', + type: 'string', + default: 'ibm/slate-30m-english-rtrvr' + }, + { + label: 'Truncate Input Tokens', + name: 'truncateInputTokens', + type: 'number', + description: 'Truncate the input tokens.', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Max Retries', + name: 'maxRetries', + type: 'number', + description: 'The maximum number of retries.', + step: 1, + optional: true, + additionalParams: true + }, + { + label: 'Max Concurrency', + name: 'maxConcurrency', + type: 'number', + description: 'The maximum number of concurrencies.', + step: 1, + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const modelName = nodeData.inputs?.modelName as string + const truncateInputTokens = nodeData.inputs?.truncateInputTokens as string + const maxRetries = nodeData.inputs?.maxRetries as string + const maxConcurrency = nodeData.inputs?.maxConcurrency as string + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const version = getCredentialParam('version', credentialData, nodeData) + const serviceUrl = getCredentialParam('serviceUrl', credentialData, nodeData) + const projectId = getCredentialParam('projectId', credentialData, nodeData) + const watsonxAIAuthType = getCredentialParam('watsonxAIAuthType', credentialData, nodeData) + const watsonxAIApikey = getCredentialParam('watsonxAIApikey', credentialData, nodeData) + const watsonxAIBearerToken = getCredentialParam('watsonxAIBearerToken', credentialData, nodeData) + + const auth = { + version, + serviceUrl, + projectId, + watsonxAIAuthType, + watsonxAIApikey, + watsonxAIBearerToken + } + + const obj: WatsonxInputEmbeddings & WatsonxAuth = { + ...auth, + model: modelName + } + + if (truncateInputTokens) obj.truncateInputTokens = parseInt(truncateInputTokens, 10) + if (maxRetries) obj.maxRetries = parseInt(maxRetries, 10) + if (maxConcurrency) obj.maxConcurrency = parseInt(maxConcurrency, 10) + + const model = new WatsonxEmbeddings(obj) + return model + } +} + +module.exports = { nodeClass: IBMWatsonx_Embeddings } diff --git a/packages/components/nodes/embeddings/IBMWatsonxEmbedding/ibm.png b/packages/components/nodes/embeddings/IBMWatsonxEmbedding/ibm.png new file mode 100644 index 00000000000..a3a4be58100 Binary files /dev/null and b/packages/components/nodes/embeddings/IBMWatsonxEmbedding/ibm.png differ diff --git a/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.svg b/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.svg new file mode 100644 index 00000000000..95b99d8b5e5 --- /dev/null +++ b/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.ts b/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.ts new file mode 100644 index 00000000000..bdb138f85ad --- /dev/null +++ b/packages/components/nodes/embeddings/JinaAIEmbedding/JinaAIEmbedding.ts @@ -0,0 +1,88 @@ +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { JinaEmbeddings } from '@langchain/community/embeddings/jina' + +class ExtendedJinaEmbeddings extends JinaEmbeddings { + private late_chunking: boolean + + constructor(fields: ConstructorParameters[0] & { late_chunking?: boolean }) { + const { late_chunking = false, ...restFields } = fields + super(restFields) + this.late_chunking = late_chunking + } +} + +class JinaAIEmbedding_Embeddings implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Jina Embeddings' + this.name = 'jinaEmbeddings' + this.version = 3.0 + this.type = 'JinaEmbeddings' + this.icon = 'JinaAIEmbedding.svg' + this.category = 'Embeddings' + this.description = 'JinaAI API to generate embeddings for a given text' + this.baseClasses = [this.type, ...getBaseClasses(JinaEmbeddings)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['jinaAIApi'] + } + this.inputs = [ + { + label: 'Model Name', + name: 'modelName', + type: 'string', + default: 'jina-embeddings-v3', + description: 'Refer to JinaAI documentation for available models' + }, + { + label: 'Dimensions', + name: 'modelDimensions', + type: 'number', + default: 1024, + description: + 'Refer to JinaAI documentation for available dimensions' + }, + { + label: 'Allow Late Chunking', + name: 'allowLateChunking', + type: 'boolean', + description: + 'Refer to JinaAI documentation guidance on late chunking', + default: false, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const modelName = nodeData.inputs?.modelName as string + const modelDimensions = nodeData.inputs?.modelDimensions as number + const allowLateChunking = nodeData.inputs?.modelDimensions as boolean + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const apiKey = getCredentialParam('jinaAIAPIKey', credentialData, nodeData) + + const model = new ExtendedJinaEmbeddings({ + apiKey: apiKey, + model: modelName, + dimensions: modelDimensions, + late_chunking: allowLateChunking + }) + + return model + } +} + +module.exports = { nodeClass: JinaAIEmbedding_Embeddings } diff --git a/packages/components/nodes/embeddings/LocalAIEmbedding/LocalAIEmbedding.ts b/packages/components/nodes/embeddings/LocalAIEmbedding/LocalAIEmbedding.ts index 46820c21724..ec2683c6173 100644 --- a/packages/components/nodes/embeddings/LocalAIEmbedding/LocalAIEmbedding.ts +++ b/packages/components/nodes/embeddings/LocalAIEmbedding/LocalAIEmbedding.ts @@ -1,4 +1,4 @@ -import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' +import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getCredentialData, getCredentialParam } from '../../../src/utils' @@ -53,14 +53,16 @@ class LocalAIEmbedding_Embeddings implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData) - const obj: Partial & { openAIApiKey?: string } = { + const obj: Partial & { openAIApiKey?: string; configuration?: ClientOptions } = { modelName, openAIApiKey: 'sk-' } if (localAIApiKey) obj.openAIApiKey = localAIApiKey - const model = new OpenAIEmbeddings(obj, { basePath }) + if (basePath) obj.configuration = { baseURL: basePath } + + const model = new OpenAIEmbeddings(obj) return model } diff --git a/packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts b/packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts index 48be7c56a1e..f11171812a1 100644 --- a/packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts +++ b/packages/components/nodes/embeddings/OpenAIEmbedding/OpenAIEmbedding.ts @@ -1,4 +1,4 @@ -import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' +import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { MODEL_TYPE, getModels } from '../../../src/modelLoader' @@ -97,7 +97,7 @@ class OpenAIEmbedding_Embeddings implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData) - const obj: Partial & { openAIApiKey?: string } = { + const obj: Partial & { openAIApiKey?: string; configuration?: ClientOptions } = { openAIApiKey, modelName } @@ -107,7 +107,13 @@ class OpenAIEmbedding_Embeddings implements INode { if (timeout) obj.timeout = parseInt(timeout, 10) if (dimensions) obj.dimensions = parseInt(dimensions, 10) - const model = new OpenAIEmbeddings(obj, { basePath }) + if (basePath) { + obj.configuration = { + baseURL: basePath + } + } + + const model = new OpenAIEmbeddings(obj) return model } } diff --git a/packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts b/packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts index d45ff498efc..d0e65a012a6 100644 --- a/packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts +++ b/packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts @@ -1,4 +1,4 @@ -import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' +import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' @@ -17,7 +17,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode { constructor() { this.label = 'OpenAI Embeddings Custom' this.name = 'openAIEmbeddingsCustom' - this.version = 2.0 + this.version = 3.0 this.type = 'OpenAIEmbeddingsCustom' this.icon = 'openai.svg' this.category = 'Embeddings' @@ -58,6 +58,13 @@ class OpenAIEmbeddingCustom_Embeddings implements INode { optional: true, additionalParams: true }, + { + label: 'BaseOptions', + name: 'baseOptions', + type: 'json', + optional: true, + additionalParams: true + }, { label: 'Model Name', name: 'modelName', @@ -81,11 +88,12 @@ class OpenAIEmbeddingCustom_Embeddings implements INode { const basePath = nodeData.inputs?.basepath as string const modelName = nodeData.inputs?.modelName as string const dimensions = nodeData.inputs?.dimensions as string + const baseOptions = nodeData.inputs?.baseOptions const credentialData = await getCredentialData(nodeData.credential ?? '', options) const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData) - const obj: Partial & { openAIApiKey?: string } = { + const obj: Partial & { openAIApiKey?: string; configuration?: ClientOptions } = { openAIApiKey } @@ -95,7 +103,23 @@ class OpenAIEmbeddingCustom_Embeddings implements INode { if (modelName) obj.modelName = modelName if (dimensions) obj.dimensions = parseInt(dimensions, 10) - const model = new OpenAIEmbeddings(obj, { basePath }) + let parsedBaseOptions: any | undefined = undefined + if (baseOptions) { + try { + parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) + } catch (exception) { + throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception) + } + } + + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new OpenAIEmbeddings(obj) return model } } diff --git a/packages/components/nodes/engine/ChatEngine/ContextChatEngine.ts b/packages/components/nodes/engine/ChatEngine/ContextChatEngine.ts index a5bacaad070..35b6ae069b4 100644 --- a/packages/components/nodes/engine/ChatEngine/ContextChatEngine.ts +++ b/packages/components/nodes/engine/ChatEngine/ContextChatEngine.ts @@ -1,4 +1,13 @@ -import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { + FlowiseMemory, + ICommonObject, + IMessage, + INode, + INodeData, + INodeOutputsValue, + INodeParams, + IServerSideEventStreamer +} from '../../../src/Interface' import { Metadata, BaseRetriever, LLM, ContextChatEngine, ChatMessage, NodeWithScore } from 'llamaindex' import { reformatSourceDocuments } from '../EngineUtils' @@ -103,24 +112,33 @@ class ContextChatEngine_LlamaIndex implements INode { let isStreamingStarted = false let sourceDocuments: ICommonObject[] = [] let sourceNodes: NodeWithScore[] = [] - const isStreamingEnabled = options.socketIO && options.socketIOClientId - if (isStreamingEnabled) { + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (shouldStreamResponse) { const stream = await chatEngine.chat({ message: input, chatHistory, stream: true }) for await (const chunk of stream) { text += chunk.response if (chunk.sourceNodes) sourceNodes = chunk.sourceNodes if (!isStreamingStarted) { isStreamingStarted = true - options.socketIO.to(options.socketIOClientId).emit('start', chunk.response) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.response) + } } - options.socketIO.to(options.socketIOClientId).emit('token', chunk.response) + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.response) + } } if (returnSourceDocuments) { sourceDocuments = reformatSourceDocuments(sourceNodes) - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', sourceDocuments) + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, sourceDocuments) + } } } else { const response = await chatEngine.chat({ message: input, chatHistory }) diff --git a/packages/components/nodes/engine/ChatEngine/SimpleChatEngine.ts b/packages/components/nodes/engine/ChatEngine/SimpleChatEngine.ts index 5734288d1da..e6045fda6c6 100644 --- a/packages/components/nodes/engine/ChatEngine/SimpleChatEngine.ts +++ b/packages/components/nodes/engine/ChatEngine/SimpleChatEngine.ts @@ -1,4 +1,13 @@ -import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { + FlowiseMemory, + ICommonObject, + IMessage, + INode, + INodeData, + INodeOutputsValue, + INodeParams, + IServerSideEventStreamer +} from '../../../src/Interface' import { LLM, ChatMessage, SimpleChatEngine } from 'llamaindex' class SimpleChatEngine_LlamaIndex implements INode { @@ -86,18 +95,24 @@ class SimpleChatEngine_LlamaIndex implements INode { let text = '' let isStreamingStarted = false - const isStreamingEnabled = options.socketIO && options.socketIOClientId - if (isStreamingEnabled) { + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (shouldStreamResponse) { const stream = await chatEngine.chat({ message: input, chatHistory, stream: true }) for await (const chunk of stream) { text += chunk.response if (!isStreamingStarted) { isStreamingStarted = true - options.socketIO.to(options.socketIOClientId).emit('start', chunk.response) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.response) + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.response) } - - options.socketIO.to(options.socketIOClientId).emit('token', chunk.response) } } else { const response = await chatEngine.chat({ message: input, chatHistory }) diff --git a/packages/components/nodes/engine/QueryEngine/QueryEngine.ts b/packages/components/nodes/engine/QueryEngine/QueryEngine.ts index 7d8d4fe4cad..14eb3c5de1d 100644 --- a/packages/components/nodes/engine/QueryEngine/QueryEngine.ts +++ b/packages/components/nodes/engine/QueryEngine/QueryEngine.ts @@ -1,4 +1,4 @@ -import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { RetrieverQueryEngine, ResponseSynthesizer, @@ -71,24 +71,32 @@ class QueryEngine_LlamaIndex implements INode { let sourceDocuments: ICommonObject[] = [] let sourceNodes: NodeWithScore[] = [] let isStreamingStarted = false - const isStreamingEnabled = options.socketIO && options.socketIOClientId - if (isStreamingEnabled) { + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (shouldStreamResponse) { const stream = await queryEngine.query({ query: input, stream: true }) for await (const chunk of stream) { text += chunk.response if (chunk.sourceNodes) sourceNodes = chunk.sourceNodes if (!isStreamingStarted) { isStreamingStarted = true - options.socketIO.to(options.socketIOClientId).emit('start', chunk.response) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.response) + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.response) } - - options.socketIO.to(options.socketIOClientId).emit('token', chunk.response) } if (returnSourceDocuments) { sourceDocuments = reformatSourceDocuments(sourceNodes) - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', sourceDocuments) + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, sourceDocuments) + } } } else { const response = await queryEngine.query({ query: input }) diff --git a/packages/components/nodes/engine/SubQuestionQueryEngine/SubQuestionQueryEngine.ts b/packages/components/nodes/engine/SubQuestionQueryEngine/SubQuestionQueryEngine.ts index eb6f85dccb4..6d8ceead9c4 100644 --- a/packages/components/nodes/engine/SubQuestionQueryEngine/SubQuestionQueryEngine.ts +++ b/packages/components/nodes/engine/SubQuestionQueryEngine/SubQuestionQueryEngine.ts @@ -1,5 +1,5 @@ import { flatten } from 'lodash' -import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IServerSideEventStreamer } from '../../../src/Interface' import { TreeSummarize, SimpleResponseBuilder, @@ -88,24 +88,32 @@ class SubQuestionQueryEngine_LlamaIndex implements INode { let sourceDocuments: ICommonObject[] = [] let sourceNodes: NodeWithScore[] = [] let isStreamingStarted = false - const isStreamingEnabled = options.socketIO && options.socketIOClientId - if (isStreamingEnabled) { + const shouldStreamResponse = options.shouldStreamResponse + const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer + const chatId = options.chatId + + if (shouldStreamResponse) { const stream = await queryEngine.query({ query: input, stream: true }) for await (const chunk of stream) { text += chunk.response if (chunk.sourceNodes) sourceNodes = chunk.sourceNodes if (!isStreamingStarted) { isStreamingStarted = true - options.socketIO.to(options.socketIOClientId).emit('start', chunk.response) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, chunk.response) + } + } + if (sseStreamer) { + sseStreamer.streamTokenEvent(chatId, chunk.response) } - - options.socketIO.to(options.socketIOClientId).emit('token', chunk.response) } if (returnSourceDocuments) { sourceDocuments = reformatSourceDocuments(sourceNodes) - options.socketIO.to(options.socketIOClientId).emit('sourceDocuments', sourceDocuments) + if (sseStreamer) { + sseStreamer.streamSourceDocumentsEvent(chatId, sourceDocuments) + } } } else { const response = await queryEngine.query({ query: input }) diff --git a/packages/components/nodes/graphs/Neo4j/Neo4j.ts b/packages/components/nodes/graphs/Neo4j/Neo4j.ts new file mode 100644 index 00000000000..e1214b92fb8 --- /dev/null +++ b/packages/components/nodes/graphs/Neo4j/Neo4j.ts @@ -0,0 +1,80 @@ +import { getBaseClasses, getCredentialData } from '../../../src/utils' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { Neo4jGraph } from '@langchain/community/graphs/neo4j_graph' + +class Neo4j_Graphs implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Neo4j' + this.name = 'Neo4j' + this.version = 1.0 + this.type = 'Neo4j' + this.icon = 'neo4j.svg' + this.category = 'Graph' + this.description = 'Connect with Neo4j graph database' + this.baseClasses = [this.type, ...getBaseClasses(Neo4jGraph)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['neo4jApi'] + } + this.inputs = [ + { + label: 'Database', + name: 'database', + type: 'string', + placeholder: 'neo4j', + optional: true + }, + { + label: 'Timeout (ms)', + name: 'timeoutMs', + type: 'number', + default: 5000, + optional: true + }, + { + label: 'Enhanced Schema', + name: 'enhancedSchema', + type: 'boolean', + default: false, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const database = nodeData.inputs?.database as string + const timeoutMs = nodeData.inputs?.timeoutMs as number + const enhancedSchema = nodeData.inputs?.enhancedSchema as boolean + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + + const neo4jConfig = { + url: credentialData?.url, + username: credentialData?.username, + password: credentialData?.password + } + + const neo4jGraph = await Neo4jGraph.initialize({ + ...neo4jConfig, + ...(database && { database }), + ...(timeoutMs && { timeoutMs }), + ...(enhancedSchema && { enhancedSchema }) + }) + + return neo4jGraph + } +} + +module.exports = { nodeClass: Neo4j_Graphs } diff --git a/packages/components/nodes/graphs/Neo4j/neo4j.svg b/packages/components/nodes/graphs/Neo4j/neo4j.svg new file mode 100644 index 00000000000..2de29da77bd --- /dev/null +++ b/packages/components/nodes/graphs/Neo4j/neo4j.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts b/packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts index 0996699374e..86689d23485 100644 --- a/packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts +++ b/packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts @@ -1,10 +1,16 @@ -import { AzureOpenAIInput, OpenAI, OpenAIInput } from '@langchain/openai' +import { AzureOpenAIInput, AzureOpenAI, OpenAIInput } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' import { BaseLLMParams } from '@langchain/core/language_models/llms' import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { getModels, MODEL_TYPE } from '../../../src/modelLoader' +const serverCredentialsExists = + !!process.env.AZURE_OPENAI_API_KEY && + !!process.env.AZURE_OPENAI_API_INSTANCE_NAME && + !!process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME && + !!process.env.AZURE_OPENAI_API_VERSION + class AzureOpenAI_LLMs implements INode { label: string name: string @@ -25,12 +31,13 @@ class AzureOpenAI_LLMs implements INode { this.icon = 'Azure.svg' this.category = 'LLMs' this.description = 'Wrapper around Azure OpenAI large language models' - this.baseClasses = [this.type, ...getBaseClasses(OpenAI)] + this.baseClasses = [this.type, ...getBaseClasses(AzureOpenAI)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['azureOpenAIApi'] + credentialNames: ['azureOpenAIApi'], + optional: serverCredentialsExists } this.inputs = [ { @@ -158,7 +165,7 @@ class AzureOpenAI_LLMs implements INode { if (cache) obj.cache = cache if (basePath) obj.azureOpenAIBasePath = basePath - const model = new OpenAI(obj) + const model = new AzureOpenAI(obj) return model } } diff --git a/packages/components/nodes/llms/Azure OpenAI/README.md b/packages/components/nodes/llms/Azure OpenAI/README.md new file mode 100644 index 00000000000..9d7dd4a5044 --- /dev/null +++ b/packages/components/nodes/llms/Azure OpenAI/README.md @@ -0,0 +1,16 @@ +# Azure OpenAI LLM + +Azure OpenAI LLM integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| -------------------------------- | ---------------------------------------------------------------------- | ------ | ------- | +| AZURE_OPENAI_API_KEY | Default `credential.azureOpenAIApiKey` for Azure OpenAI LLM | String | | +| AZURE_OPENAI_API_INSTANCE_NAME | Default `credential.azureOpenAIApiInstanceName` for Azure OpenAI LLM | String | | +| AZURE_OPENAI_API_DEPLOYMENT_NAME | Default `credential.azureOpenAIApiDeploymentName` for Azure OpenAI LLM | String | | +| AZURE_OPENAI_API_VERSION | Default `credential.azureOpenAIApiVersion` for Azure OpenAI LLM | String | | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/llms/GooglePaLM/GooglePaLM.svg b/packages/components/nodes/llms/GooglePaLM/GooglePaLM.svg deleted file mode 100644 index ed47326a9ae..00000000000 --- a/packages/components/nodes/llms/GooglePaLM/GooglePaLM.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts b/packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts deleted file mode 100644 index 8e7198394be..00000000000 --- a/packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts +++ /dev/null @@ -1,169 +0,0 @@ -import { GooglePaLM, GooglePaLMTextInput } from '@langchain/community/llms/googlepalm' -import { BaseCache } from '@langchain/core/caches' -import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { getModels, MODEL_TYPE } from '../../../src/modelLoader' - -class GooglePaLM_LLMs implements INode { - label: string - name: string - version: number - type: string - icon: string - category: string - description: string - baseClasses: string[] - credential: INodeParams - inputs: INodeParams[] - - constructor() { - this.label = 'GooglePaLM' - this.name = 'GooglePaLM' - this.version = 3.0 - this.type = 'GooglePaLM' - this.icon = 'GooglePaLM.svg' - this.category = 'LLMs' - this.description = 'Wrapper around Google MakerSuite PaLM large language models' - this.baseClasses = [this.type, ...getBaseClasses(GooglePaLM)] - this.credential = { - label: 'Connect Credential', - name: 'credential', - type: 'credential', - credentialNames: ['googleMakerSuite'] - } - this.inputs = [ - { - label: 'Cache', - name: 'cache', - type: 'BaseCache', - optional: true - }, - { - label: 'Model Name', - name: 'modelName', - type: 'asyncOptions', - loadMethod: 'listModels', - default: 'models/text-bison-001' - }, - { - label: 'Temperature', - name: 'temperature', - type: 'number', - step: 0.1, - default: 0.7, - optional: true, - description: - 'Controls the randomness of the output.\n' + - 'Values can range from [0.0,1.0], inclusive. A value closer to 1.0 ' + - 'will produce responses that are more varied and creative, while ' + - 'a value closer to 0.0 will typically result in more straightforward ' + - 'responses from the model.' - }, - { - label: 'Max Output Tokens', - name: 'maxOutputTokens', - type: 'number', - step: 1, - optional: true, - additionalParams: true, - description: 'Maximum number of tokens to generate in the completion.' - }, - { - label: 'Top Probability', - name: 'topP', - type: 'number', - step: 0.1, - optional: true, - additionalParams: true, - description: - 'Top-p changes how the model selects tokens for output.\n' + - 'Tokens are selected from most probable to least until ' + - 'the sum of their probabilities equals the top-p value.\n' + - 'For example, if tokens A, B, and C have a probability of .3, .2, and .1 ' + - 'and the top-p value is .5, then the model will select either A or B ' + - 'as the next token (using temperature).' - }, - { - label: 'Top-k', - name: 'topK', - type: 'number', - step: 1, - optional: true, - additionalParams: true, - description: - 'Top-k changes how the model selects tokens for output.\n' + - 'A top-k of 1 means the selected token is the most probable among ' + - 'all tokens in the model vocabulary (also called greedy decoding), ' + - 'while a top-k of 3 means that the next token is selected from ' + - 'among the 3 most probable tokens (using temperature).' - }, - { - label: 'Stop Sequences', - name: 'stopSequencesObj', - type: 'json', - optional: true, - additionalParams: true - //default: { list:[] }, - //description: - // 'The "list" field should contain a list of character strings (up to 5) that will stop output generation.\n' + - // ' * If specified, the API will stop at the first appearance of a stop sequence.\n' + - // 'Note: The stop sequence will not be included as part of the response.' - } - /* - { - label: 'Safety Settings', - name: 'safetySettings', - type: 'json', - optional: true, - additionalParams: true - } - */ - ] - } - - //@ts-ignore - loadMethods = { - async listModels(): Promise { - return await getModels(MODEL_TYPE.LLM, 'GooglePaLM') - } - } - - async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const modelName = nodeData.inputs?.modelName as string - const temperature = nodeData.inputs?.temperature as string - const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string - const topP = nodeData.inputs?.topP as string - const topK = nodeData.inputs?.topK as string - const stopSequencesObj = nodeData.inputs?.stopSequencesObj - const cache = nodeData.inputs?.cache as BaseCache - - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData) - - const obj: Partial = { - modelName: modelName, - temperature: parseFloat(temperature), - apiKey: googleMakerSuiteKey - } - - if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10) - if (topP) obj.topP = parseFloat(topP) - if (topK) obj.topK = parseFloat(topK) - if (cache) obj.cache = cache - - let parsedStopSequences: any | undefined = undefined - if (stopSequencesObj) { - try { - parsedStopSequences = typeof stopSequencesObj === 'object' ? stopSequencesObj : JSON.parse(stopSequencesObj) - obj.stopSequences = parsedStopSequences.list || [] - } catch (exception) { - throw new Error("Invalid JSON in the GooglePaLM's stopSequences: " + exception) - } - } - - const model = new GooglePaLM(obj) - return model - } -} - -module.exports = { nodeClass: GooglePaLM_LLMs } diff --git a/packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts b/packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts index 3a02a764be9..fa6ec0000c0 100644 --- a/packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts +++ b/packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts @@ -1,6 +1,5 @@ -import { GoogleAuthOptions } from 'google-auth-library' import { BaseCache } from '@langchain/core/caches' -import { GoogleVertexAI, GoogleVertexAITextInput } from '@langchain/community/llms/googlevertexai' +import { VertexAI, VertexAIInput } from '@langchain/google-vertexai' import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { getModels, MODEL_TYPE } from '../../../src/modelLoader' @@ -25,7 +24,7 @@ class GoogleVertexAI_LLMs implements INode { this.icon = 'GoogleVertex.svg' this.category = 'LLMs' this.description = 'Wrapper around GoogleVertexAI large language models' - this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAI)] + this.baseClasses = [this.type, ...getBaseClasses(VertexAI)] this.credential = { label: 'Connect Credential', name: 'credential', @@ -89,7 +88,7 @@ class GoogleVertexAI_LLMs implements INode { const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData) const projectID = getCredentialParam('projectID', credentialData, nodeData) - const authOptions: GoogleAuthOptions = {} + const authOptions: any = {} if (Object.keys(credentialData).length !== 0) { if (!googleApplicationCredentialFilePath && !googleApplicationCredential) throw new Error('Please specify your Google Application Credential') @@ -112,7 +111,7 @@ class GoogleVertexAI_LLMs implements INode { const topP = nodeData.inputs?.topP as string const cache = nodeData.inputs?.cache as BaseCache - const obj: Partial = { + const obj: Partial = { temperature: parseFloat(temperature), model: modelName } @@ -122,7 +121,7 @@ class GoogleVertexAI_LLMs implements INode { if (topP) obj.topP = parseFloat(topP) if (cache) obj.cache = cache - const model = new GoogleVertexAI(obj) + const model = new VertexAI(obj) return model } } diff --git a/packages/components/nodes/llms/IBMWatsonx/IBMWatsonx.ts b/packages/components/nodes/llms/IBMWatsonx/IBMWatsonx.ts new file mode 100644 index 00000000000..8d138eb2592 --- /dev/null +++ b/packages/components/nodes/llms/IBMWatsonx/IBMWatsonx.ts @@ -0,0 +1,231 @@ +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src' +import { WatsonxLLM, WatsonxInputLLM } from '@langchain/community/llms/ibm' +import { WatsonxAuth } from '@langchain/community/dist/types/ibm' +import { BaseCache } from '@langchain/core/caches' + +class IBMWatsonx_LLMs implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'IBMWatsonx' + this.name = 'ibmWatsonx' + this.version = 1.0 + this.type = 'IBMWatsonx' + this.icon = 'ibm.png' + this.category = 'LLMs' + this.description = 'Wrapper around IBM watsonx.ai foundation models' + this.baseClasses = [this.type, ...getBaseClasses(WatsonxLLM)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['ibmWatsonx'] + } + this.inputs = [ + { + label: 'Cache', + name: 'cache', + type: 'BaseCache', + optional: true + }, + { + label: 'Model', + name: 'modelId', + type: 'string', + default: 'ibm/granite-13b-instruct-v2', + description: 'The name of the model to query.' + }, + { + label: 'Decoding Method', + name: 'decodingMethod', + type: 'options', + options: [ + { label: 'sample', name: 'sample' }, + { label: 'greedy', name: 'greedy' } + ], + default: 'greedy', + description: + 'Set decoding to Greedy to always select words with the highest probability. Set decoding to Sampling to customize the variability of word selection.', + optional: true, + additionalParams: true + }, + { + label: 'Top K', + name: 'topK', + type: 'number', + description: + 'The topK parameter is used to limit the number of choices for the next predicted word or token. It specifies the maximum number of tokens to consider at each step, based on their probability of occurrence. This technique helps to speed up the generation process and can improve the quality of the generated text by focusing on the most likely options.', + step: 1, + default: 50, + optional: true, + additionalParams: true + }, + { + label: 'Top P', + name: 'topP', + type: 'number', + description: + 'The topP (nucleus) parameter is used to dynamically adjust the number of choices for each predicted token based on the cumulative probabilities. It specifies a probability threshold, below which all less likely tokens are filtered out. This technique helps to maintain diversity and generate more fluent and natural-sounding text.', + step: 0.1, + default: 0.7, + optional: true, + additionalParams: true + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + description: + 'A decimal number that determines the degree of randomness in the response. A value of 1 will always yield the same output. A temperature less than 1 favors more correctness and is appropriate for question answering or summarization. A value greater than 1 introduces more randomness in the output.', + step: 0.1, + default: 0.7, + optional: true, + additionalParams: true + }, + { + label: 'Repeat Penalty', + name: 'repetitionPenalty', + type: 'number', + description: + 'A number that controls the diversity of generated text by reducing the likelihood of repeated sequences. Higher values decrease repetition.', + step: 0.1, + default: 1, + optional: true, + additionalParams: true + }, + { + label: 'Streaming', + name: 'streaming', + type: 'boolean', + default: false, + description: 'Whether or not to stream tokens as they are generated.' + }, + { + label: 'Max New Tokens', + name: 'maxNewTokens', + type: 'number', + step: 1, + default: 100, + description: + 'The maximum number of new tokens to be generated. The maximum supported value for this field depends on the model being used.', + optional: true, + additionalParams: true + }, + { + label: 'Min New Tokens', + name: 'minNewTokens', + type: 'number', + step: 1, + default: 1, + description: 'If stop sequences are given, they are ignored until minimum tokens are generated.', + optional: true, + additionalParams: true + }, + { + label: 'Stop Sequence', + name: 'stopSequence', + type: 'string', + rows: 4, + placeholder: 'AI assistant:', + description: 'A list of tokens at which the generation should stop.', + optional: true, + additionalParams: true + }, + { + label: 'Include Stop Sequence', + name: 'includeStopSequence', + type: 'boolean', + default: false, + description: + 'Pass false to omit matched stop sequences from the end of the output text. The default is true, meaning that the output will end with the stop sequence text when matched.', + optional: true, + additionalParams: true + }, + { + label: 'Random Seed', + name: 'randomSeed', + type: 'number', + placeholder: '62345', + description: 'Random number generator seed to use in sampling mode for experimental repeatability.', + optional: true, + additionalParams: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const decodingMethod = nodeData.inputs?.decodingMethod as string + const temperature = nodeData.inputs?.temperature as string + const maxNewTokens = nodeData.inputs?.maxNewTokens as string + const minNewTokens = nodeData.inputs?.minNewTokens as string + const topP = nodeData.inputs?.topP as string + const topK = nodeData.inputs?.topK as string + const repetitionPenalty = nodeData.inputs?.repetitionPenalty as string + const modelId = nodeData.inputs?.modelId as string + const stopSequence = nodeData.inputs?.stopSequence as string + const randomSeed = nodeData.inputs?.randomSeed as string + const includeStopSequence = nodeData.inputs?.includeStopSequence as boolean + const streaming = nodeData.inputs?.streaming as boolean + + const cache = nodeData.inputs?.cache as BaseCache + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const version = getCredentialParam('version', credentialData, nodeData) + const serviceUrl = getCredentialParam('serviceUrl', credentialData, nodeData) + const projectId = getCredentialParam('projectId', credentialData, nodeData) + const watsonxAIAuthType = getCredentialParam('watsonxAIAuthType', credentialData, nodeData) + const watsonxAIApikey = getCredentialParam('watsonxAIApikey', credentialData, nodeData) + const watsonxAIBearerToken = getCredentialParam('watsonxAIBearerToken', credentialData, nodeData) + + const auth = { + version, + serviceUrl, + projectId, + watsonxAIAuthType, + watsonxAIApikey, + watsonxAIBearerToken + } + + const obj: WatsonxInputLLM & WatsonxAuth = { + ...auth, + model: modelId, + streaming: streaming ?? true + } + + if (decodingMethod) obj.decodingMethod = decodingMethod + if (repetitionPenalty) obj.repetitionPenalty = parseFloat(repetitionPenalty) + if (maxNewTokens) obj.maxNewTokens = parseInt(maxNewTokens) + if (minNewTokens) obj.minNewTokens = parseInt(minNewTokens) + if (decodingMethod === 'sample') { + if (temperature) obj.temperature = parseFloat(temperature) + if (topP) obj.topP = parseFloat(topP) + if (topK) obj.topK = parseInt(topK) + } + if (stopSequence) { + obj.stopSequence = stopSequence.split(', ') || [''] + } + if (randomSeed) { + obj.randomSeed = parseInt(randomSeed) + } + if (includeStopSequence) { + obj.includeStopSequence = includeStopSequence + } + + if (cache) obj.cache = cache + + const watsonXAI = new WatsonxLLM(obj) + return watsonXAI + } +} + +module.exports = { nodeClass: IBMWatsonx_LLMs } diff --git a/packages/components/nodes/llms/IBMWatsonx/ibm.png b/packages/components/nodes/llms/IBMWatsonx/ibm.png new file mode 100644 index 00000000000..a3a4be58100 Binary files /dev/null and b/packages/components/nodes/llms/IBMWatsonx/ibm.png differ diff --git a/packages/components/nodes/llms/OpenAI/OpenAI.ts b/packages/components/nodes/llms/OpenAI/OpenAI.ts index 4f6ad726d52..06b237c01eb 100644 --- a/packages/components/nodes/llms/OpenAI/OpenAI.ts +++ b/packages/components/nodes/llms/OpenAI/OpenAI.ts @@ -1,4 +1,4 @@ -import { OpenAI, OpenAIInput } from '@langchain/openai' +import { ClientOptions, OpenAI, OpenAIInput } from '@langchain/openai' import { BaseCache } from '@langchain/core/caches' import { BaseLLMParams } from '@langchain/core/language_models/llms' import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' @@ -153,7 +153,7 @@ class OpenAI_LLMs implements INode { const cache = nodeData.inputs?.cache as BaseCache - const obj: Partial & BaseLLMParams & { openAIApiKey?: string } = { + const obj: Partial & BaseLLMParams & { configuration?: ClientOptions } = { temperature: parseFloat(temperature), modelName, openAIApiKey, @@ -179,10 +179,14 @@ class OpenAI_LLMs implements INode { } } - const model = new OpenAI(obj, { - basePath, - baseOptions: parsedBaseOptions - }) + if (basePath || parsedBaseOptions) { + obj.configuration = { + baseURL: basePath, + defaultHeaders: parsedBaseOptions + } + } + + const model = new OpenAI(obj) return model } } diff --git a/packages/components/nodes/memory/AgentMemory/AgentMemory.ts b/packages/components/nodes/memory/AgentMemory/AgentMemory.ts index 2542a73ed90..d317e138f1d 100644 --- a/packages/components/nodes/memory/AgentMemory/AgentMemory.ts +++ b/packages/components/nodes/memory/AgentMemory/AgentMemory.ts @@ -1,9 +1,11 @@ import path from 'path' -import { getBaseClasses, getUserHome } from '../../../src/utils' +import { getBaseClasses, getCredentialData, getCredentialParam, getUserHome } from '../../../src/utils' import { SaverOptions } from './interface' import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams } from '../../../src/Interface' -import { SqliteSaver } from './sqliteSaver' +import { SqliteSaver } from './SQLiteAgentMemory/sqliteSaver' import { DataSource } from 'typeorm' +import { PostgresSaver } from './PostgresAgentMemory/pgSaver' +import { MySQLSaver } from './MySQLAgentMemory/mysqlSaver' class AgentMemory_Memory implements INode { label: string @@ -16,16 +18,25 @@ class AgentMemory_Memory implements INode { badge: string baseClasses: string[] inputs: INodeParams[] + credential: INodeParams constructor() { this.label = 'Agent Memory' this.name = 'agentMemory' - this.version = 1.0 + this.version = 2.0 this.type = 'AgentMemory' this.icon = 'agentmemory.svg' this.category = 'Memory' this.description = 'Memory for agentflow to remember the state of the conversation' this.baseClasses = [this.type, ...getBaseClasses(SqliteSaver)] + this.badge = 'DEPRECATING' + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['PostgresApi', 'MySQLApi'], + optional: true + } this.inputs = [ { label: 'Database', @@ -35,6 +46,14 @@ class AgentMemory_Memory implements INode { { label: 'SQLite', name: 'sqlite' + }, + { + label: 'PostgreSQL', + name: 'postgres' + }, + { + label: 'MySQL', + name: 'mysql' } ], default: 'sqlite' @@ -49,6 +68,30 @@ class AgentMemory_Memory implements INode { additionalParams: true, optional: true }, + { + label: 'Host', + name: 'host', + type: 'string', + description: 'If PostgresQL/MySQL is selected, provide the host of the database', + additionalParams: true, + optional: true + }, + { + label: 'Database', + name: 'database', + type: 'string', + description: 'If PostgresQL/MySQL is selected, provide the name of the database', + additionalParams: true, + optional: true + }, + { + label: 'Port', + name: 'port', + type: 'number', + description: 'If PostgresQL/MySQL is selected, provide the port of the database', + additionalParams: true, + optional: true + }, { label: 'Additional Connection Configuration', name: 'additionalConfig', @@ -78,7 +121,7 @@ class AgentMemory_Memory implements INode { const threadId = options.sessionId || options.chatId - const datasourceOptions: ICommonObject = { + let datasourceOptions: ICommonObject = { ...additionalConfiguration, type: databaseType } @@ -96,6 +139,55 @@ class AgentMemory_Memory implements INode { } const recordManager = new SqliteSaver(args) return recordManager + } else if (databaseType === 'postgres') { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const user = getCredentialParam('user', credentialData, nodeData) + const password = getCredentialParam('password', credentialData, nodeData) + const _port = (nodeData.inputs?.port as string) || '5432' + const port = parseInt(_port) + datasourceOptions = { + ...datasourceOptions, + host: nodeData.inputs?.host as string, + port, + database: nodeData.inputs?.database as string, + username: user, + user: user, + password: password + } + const args: SaverOptions = { + datasourceOptions, + threadId, + appDataSource, + databaseEntities, + chatflowid + } + const recordManager = new PostgresSaver(args) + return recordManager + } else if (databaseType === 'mysql') { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const user = getCredentialParam('user', credentialData, nodeData) + const password = getCredentialParam('password', credentialData, nodeData) + const _port = (nodeData.inputs?.port as string) || '3306' + const port = parseInt(_port) + datasourceOptions = { + ...datasourceOptions, + host: nodeData.inputs?.host as string, + port, + database: nodeData.inputs?.database as string, + username: user, + user: user, + password: password, + charset: 'utf8mb4' + } + const args: SaverOptions = { + datasourceOptions, + threadId, + appDataSource, + databaseEntities, + chatflowid + } + const recordManager = new MySQLSaver(args) + return recordManager } return undefined diff --git a/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/MySQLAgentMemory.ts b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/MySQLAgentMemory.ts new file mode 100644 index 00000000000..af3ebe6191b --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/MySQLAgentMemory.ts @@ -0,0 +1,112 @@ +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../../src/utils' +import { SaverOptions } from '../interface' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams } from '../../../../src/Interface' +import { DataSource } from 'typeorm' +import { MySQLSaver } from './mysqlSaver' + +class MySQLAgentMemory_Memory implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + badge: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'MySQL Agent Memory' + this.name = 'mySQLAgentMemory' + this.version = 1.0 + this.type = 'AgentMemory' + this.icon = 'mysql.png' + this.category = 'Memory' + this.description = 'Memory for agentflow to remember the state of the conversation using MySQL database' + this.baseClasses = [this.type, ...getBaseClasses(MySQLSaver)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['MySQLApi'], + optional: true + } + this.inputs = [ + { + label: 'Host', + name: 'host', + type: 'string' + }, + { + label: 'Database', + name: 'database', + type: 'string' + }, + { + label: 'Port', + name: 'port', + type: 'number', + default: '3306' + }, + { + label: 'Additional Connection Configuration', + name: 'additionalConfig', + type: 'json', + additionalParams: true, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const additionalConfig = nodeData.inputs?.additionalConfig as string + const databaseEntities = options.databaseEntities as IDatabaseEntity + const chatflowid = options.chatflowid as string + const appDataSource = options.appDataSource as DataSource + + let additionalConfiguration = {} + if (additionalConfig) { + try { + additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) + } catch (exception) { + throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + } + } + + const threadId = options.sessionId || options.chatId + + let datasourceOptions: ICommonObject = { + ...additionalConfiguration, + type: 'mysql' + } + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const user = getCredentialParam('user', credentialData, nodeData) + const password = getCredentialParam('password', credentialData, nodeData) + const _port = (nodeData.inputs?.port as string) || '3306' + const port = parseInt(_port) + datasourceOptions = { + ...datasourceOptions, + host: nodeData.inputs?.host as string, + port, + database: nodeData.inputs?.database as string, + username: user, + user: user, + password: password, + charset: 'utf8mb4' + } + const args: SaverOptions = { + datasourceOptions, + threadId, + appDataSource, + databaseEntities, + chatflowid + } + const recordManager = new MySQLSaver(args) + return recordManager + } +} + +module.exports = { nodeClass: MySQLAgentMemory_Memory } diff --git a/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysql.png b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysql.png new file mode 100644 index 00000000000..11c2d8b2e83 Binary files /dev/null and b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysql.png differ diff --git a/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysqlSaver.ts b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysqlSaver.ts new file mode 100644 index 00000000000..5b41b08874b --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/mysqlSaver.ts @@ -0,0 +1,267 @@ +import { BaseCheckpointSaver, Checkpoint, CheckpointMetadata } from '@langchain/langgraph' +import { RunnableConfig } from '@langchain/core/runnables' +import { BaseMessage } from '@langchain/core/messages' +import { DataSource } from 'typeorm' +import { CheckpointTuple, SaverOptions, SerializerProtocol } from '../interface' +import { IMessage, MemoryMethods } from '../../../../src/Interface' +import { mapChatMessageToBaseMessage } from '../../../../src/utils' + +export class MySQLSaver extends BaseCheckpointSaver implements MemoryMethods { + protected isSetup: boolean + config: SaverOptions + threadId: string + tableName = 'checkpoints' + + constructor(config: SaverOptions, serde?: SerializerProtocol) { + super(serde) + this.config = config + const { threadId } = config + this.threadId = threadId + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { datasourceOptions } = this.config + if (!datasourceOptions) { + throw new Error('No datasource options provided') + } + // Prevent using default Postgres port, otherwise will throw uncaught error and crashing the app + if (datasourceOptions.port === 5432) { + throw new Error('Invalid port number') + } + const dataSource = new DataSource(datasourceOptions) + await dataSource.initialize() + return dataSource + } + + private async setup(dataSource: DataSource): Promise { + if (this.isSetup) return + + try { + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + await queryRunner.manager.query(` + CREATE TABLE IF NOT EXISTS ${tableName} ( + thread_id VARCHAR(255) NOT NULL, + checkpoint_id VARCHAR(255) NOT NULL, + parent_id VARCHAR(255), + checkpoint BLOB, + metadata BLOB, + PRIMARY KEY (thread_id, checkpoint_id) + );`) + await queryRunner.release() + } catch (error) { + console.error(`Error creating ${this.tableName} table`, error) + throw new Error(`Error creating ${this.tableName} table`) + } + + this.isSetup = true + } + + async getTuple(config: RunnableConfig): Promise { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + const thread_id = config.configurable?.thread_id || this.threadId + const checkpoint_id = config.configurable?.checkpoint_id + const tableName = this.sanitizeTableName(this.tableName) + + try { + const queryRunner = dataSource.createQueryRunner() + const sql = checkpoint_id + ? `SELECT checkpoint, parent_id, metadata FROM ${tableName} WHERE thread_id = ? AND checkpoint_id = ?` + : `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = ? ORDER BY checkpoint_id DESC LIMIT 1` + + const rows = await queryRunner.manager.query(sql, checkpoint_id ? [thread_id, checkpoint_id] : [thread_id]) + await queryRunner.release() + + if (rows && rows.length > 0) { + const row = rows[0] + return { + config: { + configurable: { + thread_id: row.thread_id || thread_id, + checkpoint_id: row.checkpoint_id || checkpoint_id + } + }, + checkpoint: (await this.serde.parse(row.checkpoint.toString())) as Checkpoint, + metadata: (await this.serde.parse(row.metadata.toString())) as CheckpointMetadata, + parentConfig: row.parent_id + ? { + configurable: { + thread_id, + checkpoint_id: row.parent_id + } + } + : undefined + } + } + } catch (error) { + console.error(`Error retrieving ${this.tableName}`, error) + throw new Error(`Error retrieving ${this.tableName}`) + } finally { + await dataSource.destroy() + } + return undefined + } + + async *list(config: RunnableConfig, limit?: number, before?: RunnableConfig): AsyncGenerator { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + const queryRunner = dataSource.createQueryRunner() + try { + const threadId = config.configurable?.thread_id || this.threadId + const tableName = this.sanitizeTableName(this.tableName) + let sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = ? ${ + before ? 'AND checkpoint_id < ?' : '' + } ORDER BY checkpoint_id DESC` + if (limit) { + sql += ` LIMIT ${limit}` + } + const args = [threadId, before?.configurable?.checkpoint_id].filter(Boolean) + + const rows = await queryRunner.manager.query(sql, args) + await queryRunner.release() + + if (rows && rows.length > 0) { + for (const row of rows) { + yield { + config: { + configurable: { + thread_id: row.thread_id, + checkpoint_id: row.checkpoint_id + } + }, + checkpoint: (await this.serde.parse(row.checkpoint.toString())) as Checkpoint, + metadata: (await this.serde.parse(row.metadata.toString())) as CheckpointMetadata, + parentConfig: row.parent_id + ? { + configurable: { + thread_id: row.thread_id, + checkpoint_id: row.parent_id + } + } + : undefined + } + } + } + } catch (error) { + console.error(`Error listing checkpoints`, error) + throw new Error(`Error listing checkpoints`) + } finally { + await dataSource.destroy() + } + } + + async put(config: RunnableConfig, checkpoint: Checkpoint, metadata: CheckpointMetadata): Promise { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + if (!config.configurable?.checkpoint_id) return {} + try { + const queryRunner = dataSource.createQueryRunner() + const row = [ + config.configurable?.thread_id || this.threadId, + checkpoint.id, + config.configurable?.checkpoint_id, + Buffer.from(this.serde.stringify(checkpoint)), // Encode to binary + Buffer.from(this.serde.stringify(metadata)) // Encode to binary + ] + const tableName = this.sanitizeTableName(this.tableName) + + const query = `INSERT INTO ${tableName} (thread_id, checkpoint_id, parent_id, checkpoint, metadata) + VALUES (?, ?, ?, ?, ?) + ON DUPLICATE KEY UPDATE checkpoint = VALUES(checkpoint), metadata = VALUES(metadata)` + + await queryRunner.manager.query(query, row) + await queryRunner.release() + } catch (error) { + console.error('Error saving checkpoint', error) + throw new Error('Error saving checkpoint') + } finally { + await dataSource.destroy() + } + + return { + configurable: { + thread_id: config.configurable?.thread_id || this.threadId, + checkpoint_id: checkpoint.id + } + } + } + + async delete(threadId: string): Promise { + if (!threadId) return + + const dataSource = await this.getDataSource() + await this.setup(dataSource) + const tableName = this.sanitizeTableName(this.tableName) + + try { + const queryRunner = dataSource.createQueryRunner() + const query = `DELETE FROM ${tableName} WHERE thread_id = ?;` + await queryRunner.manager.query(query, [threadId]) + await queryRunner.release() + } catch (error) { + console.error(`Error deleting thread_id ${threadId}`, error) + } finally { + await dataSource.destroy() + } + } + + async getChatMessages( + overrideSessionId = '', + returnBaseMessages = false, + prependMessages?: IMessage[] + ): Promise { + if (!overrideSessionId) return [] + + const chatMessage = await this.config.appDataSource.getRepository(this.config.databaseEntities['ChatMessage']).find({ + where: { + sessionId: overrideSessionId, + chatflowid: this.config.chatflowid + }, + order: { + createdDate: 'ASC' + } + }) + + if (prependMessages?.length) { + chatMessage.unshift(...prependMessages) + } + + if (returnBaseMessages) { + return await mapChatMessageToBaseMessage(chatMessage) + } + + let returnIMessages: IMessage[] = [] + for (const m of chatMessage) { + returnIMessages.push({ + message: m.content as string, + type: m.role + }) + } + + return returnIMessages + } + + async addChatMessages(): Promise { + // Empty as it's not being used + } + + async clearChatMessages(overrideSessionId = ''): Promise { + if (!overrideSessionId) return + await this.delete(overrideSessionId) + } +} diff --git a/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/PostgresAgentMemory.ts b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/PostgresAgentMemory.ts new file mode 100644 index 00000000000..cb6d041a6b2 --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/PostgresAgentMemory.ts @@ -0,0 +1,111 @@ +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../../src/utils' +import { SaverOptions } from '../interface' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams } from '../../../../src/Interface' +import { DataSource } from 'typeorm' +import { PostgresSaver } from './pgSaver' + +class PostgresAgentMemory_Memory implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + badge: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'Postgres Agent Memory' + this.name = 'postgresAgentMemory' + this.version = 1.0 + this.type = 'AgentMemory' + this.icon = 'postgres.svg' + this.category = 'Memory' + this.description = 'Memory for agentflow to remember the state of the conversation using Postgres database' + this.baseClasses = [this.type, ...getBaseClasses(PostgresSaver)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['PostgresApi'], + optional: true + } + this.inputs = [ + { + label: 'Host', + name: 'host', + type: 'string' + }, + { + label: 'Database', + name: 'database', + type: 'string' + }, + { + label: 'Port', + name: 'port', + type: 'number', + default: '5432' + }, + { + label: 'Additional Connection Configuration', + name: 'additionalConfig', + type: 'json', + additionalParams: true, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const additionalConfig = nodeData.inputs?.additionalConfig as string + const databaseEntities = options.databaseEntities as IDatabaseEntity + const chatflowid = options.chatflowid as string + const appDataSource = options.appDataSource as DataSource + + let additionalConfiguration = {} + if (additionalConfig) { + try { + additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) + } catch (exception) { + throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + } + } + + const threadId = options.sessionId || options.chatId + + let datasourceOptions: ICommonObject = { + ...additionalConfiguration, + type: 'postgres' + } + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const user = getCredentialParam('user', credentialData, nodeData) + const password = getCredentialParam('password', credentialData, nodeData) + const _port = (nodeData.inputs?.port as string) || '5432' + const port = parseInt(_port) + datasourceOptions = { + ...datasourceOptions, + host: nodeData.inputs?.host as string, + port, + database: nodeData.inputs?.database as string, + username: user, + user: user, + password: password + } + const args: SaverOptions = { + datasourceOptions, + threadId, + appDataSource, + databaseEntities, + chatflowid + } + const recordManager = new PostgresSaver(args) + return recordManager + } +} + +module.exports = { nodeClass: PostgresAgentMemory_Memory } diff --git a/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/pgSaver.ts b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/pgSaver.ts new file mode 100644 index 00000000000..5bc69f663b9 --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/pgSaver.ts @@ -0,0 +1,306 @@ +import { BaseCheckpointSaver, Checkpoint, CheckpointMetadata } from '@langchain/langgraph' +import { RunnableConfig } from '@langchain/core/runnables' +import { BaseMessage } from '@langchain/core/messages' +import { DataSource } from 'typeorm' +import { CheckpointTuple, SaverOptions, SerializerProtocol } from '../interface' +import { IMessage, MemoryMethods } from '../../../../src/Interface' +import { mapChatMessageToBaseMessage } from '../../../../src/utils' + +export class PostgresSaver extends BaseCheckpointSaver implements MemoryMethods { + protected isSetup: boolean + config: SaverOptions + threadId: string + tableName = 'checkpoints' + + constructor(config: SaverOptions, serde?: SerializerProtocol) { + super(serde) + this.config = config + const { threadId } = config + this.threadId = threadId + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { datasourceOptions } = this.config + if (!datasourceOptions) { + throw new Error('No datasource options provided') + } + // Prevent using default MySQL port, otherwise will throw uncaught error and crashing the app + if (datasourceOptions.port === 3006) { + throw new Error('Invalid port number') + } + const dataSource = new DataSource(datasourceOptions) + await dataSource.initialize() + return dataSource + } + + private async setup(dataSource: DataSource): Promise { + if (this.isSetup) { + return + } + + try { + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + await queryRunner.manager.query(` +CREATE TABLE IF NOT EXISTS ${tableName} ( + thread_id TEXT NOT NULL, + checkpoint_id TEXT NOT NULL, + parent_id TEXT, + checkpoint BYTEA, + metadata BYTEA, + PRIMARY KEY (thread_id, checkpoint_id));`) + await queryRunner.release() + } catch (error) { + console.error(`Error creating ${this.tableName} table`, error) + throw new Error(`Error creating ${this.tableName} table`) + } + + this.isSetup = true + } + + async getTuple(config: RunnableConfig): Promise { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + const thread_id = config.configurable?.thread_id || this.threadId + const checkpoint_id = config.configurable?.checkpoint_id + const tableName = this.sanitizeTableName(this.tableName) + + if (checkpoint_id) { + try { + const queryRunner = dataSource.createQueryRunner() + const keys = [thread_id, checkpoint_id] + const sql = `SELECT checkpoint, parent_id, metadata FROM ${tableName} WHERE thread_id = $1 AND checkpoint_id = $2` + + const rows = await queryRunner.manager.query(sql, keys) + await queryRunner.release() + + if (rows && rows.length > 0) { + return { + config, + checkpoint: (await this.serde.parse(rows[0].checkpoint.toString())) as Checkpoint, + metadata: (await this.serde.parse(rows[0].metadata.toString())) as CheckpointMetadata, + parentConfig: rows[0].parent_id + ? { + configurable: { + thread_id, + checkpoint_id: rows[0].parent_id + } + } + : undefined + } + } + } catch (error) { + console.error(`Error retrieving ${tableName}`, error) + throw new Error(`Error retrieving ${tableName}`) + } finally { + await dataSource.destroy() + } + } else { + try { + const queryRunner = dataSource.createQueryRunner() + const keys = [thread_id] + const sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = $1 ORDER BY checkpoint_id DESC LIMIT 1` + + const rows = await queryRunner.manager.query(sql, keys) + await queryRunner.release() + + if (rows && rows.length > 0) { + return { + config: { + configurable: { + thread_id: rows[0].thread_id, + checkpoint_id: rows[0].checkpoint_id + } + }, + checkpoint: (await this.serde.parse(rows[0].checkpoint)) as Checkpoint, + metadata: (await this.serde.parse(rows[0].metadata)) as CheckpointMetadata, + parentConfig: rows[0].parent_id + ? { + configurable: { + thread_id: rows[0].thread_id, + checkpoint_id: rows[0].parent_id + } + } + : undefined + } + } + } catch (error) { + console.error(`Error retrieving ${tableName}`, error) + throw new Error(`Error retrieving ${tableName}`) + } finally { + await dataSource.destroy() + } + } + return undefined + } + + async *list(config: RunnableConfig, limit?: number, before?: RunnableConfig): AsyncGenerator { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + const queryRunner = dataSource.createQueryRunner() + const thread_id = config.configurable?.thread_id || this.threadId + const tableName = this.sanitizeTableName(this.tableName) + let sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = $1` + const args = [thread_id] + + if (before?.configurable?.checkpoint_id) { + sql += ' AND checkpoint_id < $2' + args.push(before.configurable.checkpoint_id) + } + + sql += ' ORDER BY checkpoint_id DESC' + if (limit) { + sql += ` LIMIT ${limit}` + } + + try { + const rows = await queryRunner.manager.query(sql, args) + await queryRunner.release() + + if (rows && rows.length > 0) { + for (const row of rows) { + yield { + config: { + configurable: { + thread_id: row.thread_id, + checkpoint_id: row.checkpoint_id + } + }, + checkpoint: (await this.serde.parse(rows[0].checkpoint.toString())) as Checkpoint, + metadata: (await this.serde.parse(rows[0].metadata.toString())) as CheckpointMetadata, + parentConfig: row.parent_id + ? { + configurable: { + thread_id: row.thread_id, + checkpoint_id: row.parent_id + } + } + : undefined + } + } + } + } catch (error) { + console.error(`Error listing ${tableName}`, error) + throw new Error(`Error listing ${tableName}`) + } finally { + await dataSource.destroy() + } + } + + async put(config: RunnableConfig, checkpoint: Checkpoint, metadata: CheckpointMetadata): Promise { + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + if (!config.configurable?.checkpoint_id) return {} + try { + const queryRunner = dataSource.createQueryRunner() + const row = [ + config.configurable?.thread_id || this.threadId, + checkpoint.id, + config.configurable?.checkpoint_id, + Buffer.from(this.serde.stringify(checkpoint)), // Encode to binary + Buffer.from(this.serde.stringify(metadata)) // Encode to binary + ] + const tableName = this.sanitizeTableName(this.tableName) + + const query = `INSERT INTO ${tableName} (thread_id, checkpoint_id, parent_id, checkpoint, metadata) + VALUES ($1, $2, $3, $4, $5) + ON CONFLICT (thread_id, checkpoint_id) + DO UPDATE SET checkpoint = EXCLUDED.checkpoint, metadata = EXCLUDED.metadata` + + await queryRunner.manager.query(query, row) + await queryRunner.release() + } catch (error) { + console.error('Error saving checkpoint', error) + throw new Error('Error saving checkpoint') + } finally { + await dataSource.destroy() + } + + return { + configurable: { + thread_id: config.configurable?.thread_id || this.threadId, + checkpoint_id: checkpoint.id + } + } + } + + async delete(threadId: string): Promise { + if (!threadId) { + return + } + + const dataSource = await this.getDataSource() + await this.setup(dataSource) + const tableName = this.sanitizeTableName(this.tableName) + + const query = `DELETE FROM "${tableName}" WHERE thread_id = $1;` + + try { + const queryRunner = dataSource.createQueryRunner() + await queryRunner.manager.query(query, [threadId]) + await queryRunner.release() + } catch (error) { + console.error(`Error deleting thread_id ${threadId}`, error) + } finally { + await dataSource.destroy() + } + } + + async getChatMessages( + overrideSessionId = '', + returnBaseMessages = false, + prependMessages?: IMessage[] + ): Promise { + if (!overrideSessionId) return [] + + const chatMessage = await this.config.appDataSource.getRepository(this.config.databaseEntities['ChatMessage']).find({ + where: { + sessionId: overrideSessionId, + chatflowid: this.config.chatflowid + }, + order: { + createdDate: 'ASC' + } + }) + + if (prependMessages?.length) { + chatMessage.unshift(...prependMessages) + } + + if (returnBaseMessages) { + return await mapChatMessageToBaseMessage(chatMessage) + } + + let returnIMessages: IMessage[] = [] + for (const m of chatMessage) { + returnIMessages.push({ + message: m.content as string, + type: m.role + }) + } + return returnIMessages + } + + async addChatMessages(): Promise { + // Empty as it's not being used + } + + async clearChatMessages(overrideSessionId = ''): Promise { + await this.delete(overrideSessionId) + } +} diff --git a/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/postgres.svg b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/postgres.svg new file mode 100644 index 00000000000..f631e7a842c --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/PostgresAgentMemory/postgres.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/SQLiteAgentMemory.ts b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/SQLiteAgentMemory.ts new file mode 100644 index 00000000000..b301e3a8830 --- /dev/null +++ b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/SQLiteAgentMemory.ts @@ -0,0 +1,87 @@ +import path from 'path' +import { getBaseClasses, getUserHome } from '../../../../src/utils' +import { SaverOptions } from '../interface' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams } from '../../../../src/Interface' +import { SqliteSaver } from './sqliteSaver' +import { DataSource } from 'typeorm' + +class SQLiteAgentMemory_Memory implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + badge: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'SQLite Agent Memory' + this.name = 'sqliteAgentMemory' + this.version = 1.0 + this.type = 'SQLiteAgentMemory' + this.icon = 'sqlite.png' + this.category = 'Memory' + this.description = 'Memory for agentflow to remember the state of the conversation using SQLite database' + this.baseClasses = [this.type, ...getBaseClasses(SqliteSaver)] + this.inputs = [ + /*{ + label: 'Database File Path', + name: 'databaseFilePath', + type: 'string', + placeholder: 'C:\\Users\\User\\.flowise\\database.sqlite', + description: 'Path to the SQLite database file. Leave empty to use default application database', + optional: true + },*/ + { + label: 'Additional Connection Configuration', + name: 'additionalConfig', + type: 'json', + additionalParams: true, + optional: true + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const additionalConfig = nodeData.inputs?.additionalConfig as string + const databaseEntities = options.databaseEntities as IDatabaseEntity + const chatflowid = options.chatflowid as string + const appDataSource = options.appDataSource as DataSource + + let additionalConfiguration = {} + if (additionalConfig) { + try { + additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) + } catch (exception) { + throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + } + } + + const threadId = options.sessionId || options.chatId + + const database = path.join(process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise'), 'database.sqlite') + + let datasourceOptions: ICommonObject = { + database, + ...additionalConfiguration, + type: 'sqlite' + } + + const args: SaverOptions = { + datasourceOptions, + threadId, + appDataSource, + databaseEntities, + chatflowid + } + + const recordManager = new SqliteSaver(args) + return recordManager + } +} + +module.exports = { nodeClass: SQLiteAgentMemory_Memory } diff --git a/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqlite.png b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqlite.png new file mode 100644 index 00000000000..9f35f2bdf3c Binary files /dev/null and b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqlite.png differ diff --git a/packages/components/nodes/memory/AgentMemory/sqliteSaver.ts b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqliteSaver.ts similarity index 55% rename from packages/components/nodes/memory/AgentMemory/sqliteSaver.ts rename to packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqliteSaver.ts index a8eace00dfd..351c7896185 100644 --- a/packages/components/nodes/memory/AgentMemory/sqliteSaver.ts +++ b/packages/components/nodes/memory/AgentMemory/SQLiteAgentMemory/sqliteSaver.ts @@ -1,49 +1,60 @@ import { BaseCheckpointSaver, Checkpoint, CheckpointMetadata } from '@langchain/langgraph' import { RunnableConfig } from '@langchain/core/runnables' import { BaseMessage } from '@langchain/core/messages' -import { DataSource, QueryRunner } from 'typeorm' -import { CheckpointTuple, SaverOptions, SerializerProtocol } from './interface' -import { IMessage, MemoryMethods } from '../../../src/Interface' -import { mapChatMessageToBaseMessage } from '../../../src/utils' +import { DataSource } from 'typeorm' +import { CheckpointTuple, SaverOptions, SerializerProtocol } from '../interface' +import { IMessage, MemoryMethods } from '../../../../src/Interface' +import { mapChatMessageToBaseMessage } from '../../../../src/utils' export class SqliteSaver extends BaseCheckpointSaver implements MemoryMethods { protected isSetup: boolean - - datasource: DataSource - - queryRunner: QueryRunner - config: SaverOptions - threadId: string - tableName = 'checkpoints' constructor(config: SaverOptions, serde?: SerializerProtocol) { super(serde) this.config = config - const { datasourceOptions, threadId } = config + const { threadId } = config this.threadId = threadId - this.datasource = new DataSource(datasourceOptions) } - private async setup(): Promise { + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { datasourceOptions } = this.config + const dataSource = new DataSource(datasourceOptions) + await dataSource.initialize() + return dataSource + } + + private async setup(dataSource: DataSource): Promise { if (this.isSetup) { return } try { - const appDataSource = await this.datasource.initialize() - - this.queryRunner = appDataSource.createQueryRunner() - await this.queryRunner.manager.query(` -CREATE TABLE IF NOT EXISTS ${this.tableName} ( + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + await queryRunner.manager.query(` +CREATE TABLE IF NOT EXISTS ${tableName} ( thread_id TEXT NOT NULL, checkpoint_id TEXT NOT NULL, parent_id TEXT, checkpoint BLOB, metadata BLOB, PRIMARY KEY (thread_id, checkpoint_id));`) + await queryRunner.release() } catch (error) { console.error(`Error creating ${this.tableName} table`, error) throw new Error(`Error creating ${this.tableName} table`) @@ -53,16 +64,21 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( } async getTuple(config: RunnableConfig): Promise { - await this.setup() + const dataSource = await this.getDataSource() + await this.setup(dataSource) + const thread_id = config.configurable?.thread_id || this.threadId const checkpoint_id = config.configurable?.checkpoint_id + const tableName = this.sanitizeTableName(this.tableName) if (checkpoint_id) { try { + const queryRunner = dataSource.createQueryRunner() const keys = [thread_id, checkpoint_id] - const sql = `SELECT checkpoint, parent_id, metadata FROM ${this.tableName} WHERE thread_id = ? AND checkpoint_id = ?` + const sql = `SELECT checkpoint, parent_id, metadata FROM ${tableName} WHERE thread_id = ? AND checkpoint_id = ?` - const rows = await this.queryRunner.manager.query(sql, [...keys]) + const rows = await queryRunner.manager.query(sql, [...keys]) + await queryRunner.release() if (rows && rows.length > 0) { return { @@ -80,43 +96,58 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( } } } catch (error) { - console.error(`Error retrieving ${this.tableName}`, error) - throw new Error(`Error retrieving ${this.tableName}`) + console.error(`Error retrieving ${tableName}`, error) + throw new Error(`Error retrieving ${tableName}`) + } finally { + await dataSource.destroy() } } else { - const keys = [thread_id] - const sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${this.tableName} WHERE thread_id = ? ORDER BY checkpoint_id DESC LIMIT 1` + try { + const queryRunner = dataSource.createQueryRunner() + const keys = [thread_id] + const sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = ? ORDER BY checkpoint_id DESC LIMIT 1` - const rows = await this.queryRunner.manager.query(sql, [...keys]) + const rows = await queryRunner.manager.query(sql, [...keys]) + await queryRunner.release() - if (rows && rows.length > 0) { - return { - config: { - configurable: { - thread_id: rows[0].thread_id, - checkpoint_id: rows[0].checkpoint_id - } - }, - checkpoint: (await this.serde.parse(rows[0].checkpoint)) as Checkpoint, - metadata: (await this.serde.parse(rows[0].metadata)) as CheckpointMetadata, - parentConfig: rows[0].parent_id - ? { - configurable: { - thread_id: rows[0].thread_id, - checkpoint_id: rows[0].parent_id + if (rows && rows.length > 0) { + return { + config: { + configurable: { + thread_id: rows[0].thread_id, + checkpoint_id: rows[0].checkpoint_id + } + }, + checkpoint: (await this.serde.parse(rows[0].checkpoint)) as Checkpoint, + metadata: (await this.serde.parse(rows[0].metadata)) as CheckpointMetadata, + parentConfig: rows[0].parent_id + ? { + configurable: { + thread_id: rows[0].thread_id, + checkpoint_id: rows[0].parent_id + } } - } - : undefined + : undefined + } } + } catch (error) { + console.error(`Error retrieving ${tableName}`, error) + throw new Error(`Error retrieving ${tableName}`) + } finally { + await dataSource.destroy() } } return undefined } async *list(config: RunnableConfig, limit?: number, before?: RunnableConfig): AsyncGenerator { - await this.setup() + const dataSource = await this.getDataSource() + await this.setup(dataSource) + + const queryRunner = dataSource.createQueryRunner() const thread_id = config.configurable?.thread_id || this.threadId - let sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${this.tableName} WHERE thread_id = ? ${ + const tableName = this.sanitizeTableName(this.tableName) + let sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM ${tableName} WHERE thread_id = ? ${ before ? 'AND checkpoint_id < ?' : '' } ORDER BY checkpoint_id DESC` if (limit) { @@ -125,7 +156,8 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( const args = [thread_id, before?.configurable?.checkpoint_id].filter(Boolean) try { - const rows = await this.queryRunner.manager.query(sql, [...args]) + const rows = await queryRunner.manager.query(sql, [...args]) + await queryRunner.release() if (rows && rows.length > 0) { for (const row of rows) { @@ -150,15 +182,20 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( } } } catch (error) { - console.error(`Error listing ${this.tableName}`, error) - throw new Error(`Error listing ${this.tableName}`) + console.error(`Error listing ${tableName}`, error) + throw new Error(`Error listing ${tableName}`) + } finally { + await dataSource.destroy() } } async put(config: RunnableConfig, checkpoint: Checkpoint, metadata: CheckpointMetadata): Promise { - await this.setup() + const dataSource = await this.getDataSource() + await this.setup(dataSource) + if (!config.configurable?.checkpoint_id) return {} try { + const queryRunner = dataSource.createQueryRunner() const row = [ config.configurable?.thread_id || this.threadId, checkpoint.id, @@ -166,13 +203,16 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( this.serde.stringify(checkpoint), this.serde.stringify(metadata) ] + const tableName = this.sanitizeTableName(this.tableName) + const query = `INSERT OR REPLACE INTO ${tableName} (thread_id, checkpoint_id, parent_id, checkpoint, metadata) VALUES (?, ?, ?, ?, ?)` - const query = `INSERT OR REPLACE INTO ${this.tableName} (thread_id, checkpoint_id, parent_id, checkpoint, metadata) VALUES (?, ?, ?, ?, ?)` - - await this.queryRunner.manager.query(query, row) + await queryRunner.manager.query(query, row) + await queryRunner.release() } catch (error) { console.error('Error saving checkpoint', error) throw new Error('Error saving checkpoint') + } finally { + await dataSource.destroy() } return { @@ -187,13 +227,20 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( if (!threadId) { return } - await this.setup() - const query = `DELETE FROM "${this.tableName}" WHERE thread_id = ?;` + + const dataSource = await this.getDataSource() + await this.setup(dataSource) + const tableName = this.sanitizeTableName(this.tableName) + const query = `DELETE FROM "${tableName}" WHERE thread_id = ?;` try { - await this.queryRunner.manager.query(query, [threadId]) + const queryRunner = dataSource.createQueryRunner() + await queryRunner.manager.query(query, [threadId]) + await queryRunner.release() } catch (error) { console.error(`Error deleting thread_id ${threadId}`, error) + } finally { + await dataSource.destroy() } } @@ -219,7 +266,7 @@ CREATE TABLE IF NOT EXISTS ${this.tableName} ( } if (returnBaseMessages) { - return mapChatMessageToBaseMessage(chatMessage) + return await mapChatMessageToBaseMessage(chatMessage) } let returnIMessages: IMessage[] = [] diff --git a/packages/components/nodes/memory/BufferMemory/BufferMemory.ts b/packages/components/nodes/memory/BufferMemory/BufferMemory.ts index 63056007c5d..972301daf8b 100644 --- a/packages/components/nodes/memory/BufferMemory/BufferMemory.ts +++ b/packages/components/nodes/memory/BufferMemory/BufferMemory.ts @@ -117,7 +117,7 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { } if (returnBaseMessages) { - return mapChatMessageToBaseMessage(chatMessage) + return await mapChatMessageToBaseMessage(chatMessage) } let returnIMessages: IMessage[] = [] diff --git a/packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts b/packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts index 422cac55fcd..82cfd92916f 100644 --- a/packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts +++ b/packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts @@ -118,21 +118,23 @@ class BufferWindowMemoryExtended extends FlowiseWindowMemory implements MemoryMe sessionId: id, chatflowid: this.chatflowid }, - take: this.k + 1, order: { - createdDate: 'DESC' // we get the latest top K + createdDate: 'ASC' } }) - // reverse the order of human and ai messages - if (chatMessage.length) chatMessage.reverse() + if (this.k <= 0) { + chatMessage = [] + } else { + chatMessage = chatMessage.slice(-this.k * 2) + } if (prependMessages?.length) { chatMessage.unshift(...prependMessages) } if (returnBaseMessages) { - return mapChatMessageToBaseMessage(chatMessage) + return await mapChatMessageToBaseMessage(chatMessage) } let returnIMessages: IMessage[] = [] diff --git a/packages/components/nodes/memory/ConversationSummaryBufferMemory/ConversationSummaryBufferMemory.ts b/packages/components/nodes/memory/ConversationSummaryBufferMemory/ConversationSummaryBufferMemory.ts index 5f58b0ca823..c45f93484be 100644 --- a/packages/components/nodes/memory/ConversationSummaryBufferMemory/ConversationSummaryBufferMemory.ts +++ b/packages/components/nodes/memory/ConversationSummaryBufferMemory/ConversationSummaryBufferMemory.ts @@ -10,9 +10,10 @@ import { } from '../../../src/Interface' import { getBaseClasses, mapChatMessageToBaseMessage } from '../../../src/utils' import { BaseLanguageModel } from '@langchain/core/language_models/base' -import { BaseMessage, getBufferString } from '@langchain/core/messages' +import { BaseMessage, getBufferString, HumanMessage } from '@langchain/core/messages' import { ConversationSummaryBufferMemory, ConversationSummaryBufferMemoryInput } from 'langchain/memory' import { DataSource } from 'typeorm' +import { ChatAnthropic } from '../../chatmodels/ChatAnthropic/FlowiseChatAnthropic' class ConversationSummaryBufferMemory_Memory implements INode { label: string @@ -136,7 +137,7 @@ class ConversationSummaryBufferMemoryExtended extends FlowiseSummaryBufferMemory chatMessage.unshift(...prependMessages) } - let baseMessages = mapChatMessageToBaseMessage(chatMessage) + let baseMessages = await mapChatMessageToBaseMessage(chatMessage) // Prune baseMessages if it exceeds max token limit if (this.movingSummaryBuffer) { @@ -163,7 +164,12 @@ class ConversationSummaryBufferMemoryExtended extends FlowiseSummaryBufferMemory // ----------- Finished Pruning --------------- if (this.movingSummaryBuffer) { - baseMessages = [new this.summaryChatMessageClass(this.movingSummaryBuffer), ...baseMessages] + // Anthropic doesn't support multiple system messages + if (this.llm instanceof ChatAnthropic) { + baseMessages = [new HumanMessage(`Below is the summarized conversation:\n\n${this.movingSummaryBuffer}`), ...baseMessages] + } else { + baseMessages = [new this.summaryChatMessageClass(this.movingSummaryBuffer), ...baseMessages] + } } if (returnBaseMessages) { diff --git a/packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts b/packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts index bd1c5617d90..6c4d078baf7 100644 --- a/packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts +++ b/packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts @@ -10,9 +10,10 @@ import { } from '../../../src/Interface' import { getBaseClasses, mapChatMessageToBaseMessage } from '../../../src/utils' import { BaseLanguageModel } from '@langchain/core/language_models/base' -import { BaseMessage, SystemMessage } from '@langchain/core/messages' +import { BaseMessage, HumanMessage, SystemMessage } from '@langchain/core/messages' import { ConversationSummaryMemory, ConversationSummaryMemoryInput } from 'langchain/memory' import { DataSource } from 'typeorm' +import { ChatAnthropic } from '../../chatmodels/ChatAnthropic/FlowiseChatAnthropic' class ConversationSummaryMemory_Memory implements INode { label: string @@ -127,7 +128,7 @@ class ConversationSummaryMemoryExtended extends FlowiseSummaryMemory implements chatMessage.unshift(...prependMessages) } - const baseMessages = mapChatMessageToBaseMessage(chatMessage) + const baseMessages = await mapChatMessageToBaseMessage(chatMessage) // Get summary if (this.llm && typeof this.llm !== 'string') { @@ -135,7 +136,12 @@ class ConversationSummaryMemoryExtended extends FlowiseSummaryMemory implements } if (returnBaseMessages) { - return [new SystemMessage(this.buffer)] + // Anthropic doesn't support multiple system messages + if (this.llm instanceof ChatAnthropic) { + return [new HumanMessage(`Below is the summarized conversation:\n\n${this.buffer}`)] + } else { + return [new SystemMessage(this.buffer)] + } } if (this.buffer) { diff --git a/packages/components/nodes/memory/DynamoDb/DynamoDb.ts b/packages/components/nodes/memory/DynamoDb/DynamoDb.ts index 94525e96772..0ad0354f46c 100644 --- a/packages/components/nodes/memory/DynamoDb/DynamoDb.ts +++ b/packages/components/nodes/memory/DynamoDb/DynamoDb.ts @@ -260,7 +260,7 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { .filter((x): x is StoredMessage => x.type !== undefined && x.data.content !== undefined) const baseMessages = messages.map(mapStoredMessageToChatMessage) if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) } return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) } diff --git a/packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts b/packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts index 98979d9fab4..44832466ec8 100644 --- a/packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts +++ b/packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts @@ -1,5 +1,4 @@ -import { MongoClient, Collection, Document } from 'mongodb' -import { MongoDBChatMessageHistory } from '@langchain/mongodb' +import { MongoClient } from 'mongodb' import { BufferMemory, BufferMemoryInput } from 'langchain/memory' import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, BaseMessage } from '@langchain/core/messages' import { @@ -7,28 +6,13 @@ import { getBaseClasses, getCredentialData, getCredentialParam, + getVersion, mapChatMessageToBaseMessage } from '../../../src/utils' import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface' -let mongoClientSingleton: MongoClient -let mongoUrl: string - -const getMongoClient = async (newMongoUrl: string) => { - if (!mongoClientSingleton) { - // if client does not exist - mongoClientSingleton = new MongoClient(newMongoUrl) - mongoUrl = newMongoUrl - return mongoClientSingleton - } else if (mongoClientSingleton && newMongoUrl !== mongoUrl) { - // if client exists but url changed - mongoClientSingleton.close() - mongoClientSingleton = new MongoClient(newMongoUrl) - mongoUrl = newMongoUrl - return mongoClientSingleton - } - return mongoClientSingleton -} +// TODO: Add ability to specify env variable and use singleton pattern (i.e initialize MongoDB on server and pass to component) + class MongoDB_Memory implements INode { label: string name: string @@ -102,62 +86,43 @@ const initializeMongoDB = async (nodeData: INodeData, options: ICommonObject): P const credentialData = await getCredentialData(nodeData.credential ?? '', options) const mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData) - - const client = await getMongoClient(mongoDBConnectUrl) - const collection = client.db(databaseName).collection(collectionName) - - const mongoDBChatMessageHistory = new MongoDBChatMessageHistory({ - collection, - sessionId - }) - - // @ts-ignore - mongoDBChatMessageHistory.getMessages = async (): Promise => { - const document = await collection.findOne({ - sessionId: (mongoDBChatMessageHistory as any).sessionId - }) - const messages = document?.messages || [] - return messages.map(mapStoredMessageToChatMessage) - } - - // @ts-ignore - mongoDBChatMessageHistory.addMessage = async (message: BaseMessage): Promise => { - const messages = [message].map((msg) => msg.toDict()) - await collection.updateOne( - { sessionId: (mongoDBChatMessageHistory as any).sessionId }, - { - $push: { messages: { $each: messages } } - }, - { upsert: true } - ) - } - - mongoDBChatMessageHistory.clear = async (): Promise => { - await collection.deleteOne({ sessionId: (mongoDBChatMessageHistory as any).sessionId }) - } + const driverInfo = { name: 'Flowise', version: (await getVersion()).version } return new BufferMemoryExtended({ memoryKey: memoryKey ?? 'chat_history', - // @ts-ignore - chatHistory: mongoDBChatMessageHistory, sessionId, - collection + mongoConnection: { + databaseName, + collectionName, + mongoDBConnectUrl, + driverInfo + } }) } interface BufferMemoryExtendedInput { - collection: Collection sessionId: string + mongoConnection: { + databaseName: string + collectionName: string + mongoDBConnectUrl: string + driverInfo: { name: string; version: string } + } } class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { sessionId = '' - collection: Collection + mongoConnection: { + databaseName: string + collectionName: string + mongoDBConnectUrl: string + driverInfo: { name: string; version: string } + } constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) { super(fields) this.sessionId = fields.sessionId - this.collection = fields.collection + this.mongoConnection = fields.mongoConnection } async getChatMessages( @@ -165,20 +130,24 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { returnBaseMessages = false, prependMessages?: IMessage[] ): Promise { - if (!this.collection) return [] + const client = new MongoClient(this.mongoConnection.mongoDBConnectUrl, { driverInfo: this.mongoConnection.driverInfo }) + const collection = client.db(this.mongoConnection.databaseName).collection(this.mongoConnection.collectionName) const id = overrideSessionId ? overrideSessionId : this.sessionId - const document = await this.collection.findOne({ sessionId: id }) + const document = await collection.findOne({ sessionId: id }) const messages = document?.messages || [] const baseMessages = messages.map(mapStoredMessageToChatMessage) if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) } + + await client.close() return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) } async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise { - if (!this.collection) return + const client = new MongoClient(this.mongoConnection.mongoDBConnectUrl, { driverInfo: this.mongoConnection.driverInfo }) + const collection = client.db(this.mongoConnection.databaseName).collection(this.mongoConnection.collectionName) const id = overrideSessionId ? overrideSessionId : this.sessionId const input = msgArray.find((msg) => msg.type === 'userMessage') @@ -187,7 +156,7 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { if (input) { const newInputMessage = new HumanMessage(input.text) const messageToAdd = [newInputMessage].map((msg) => msg.toDict()) - await this.collection.updateOne( + await collection.updateOne( { sessionId: id }, { $push: { messages: { $each: messageToAdd } } @@ -199,7 +168,7 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { if (output) { const newOutputMessage = new AIMessage(output.text) const messageToAdd = [newOutputMessage].map((msg) => msg.toDict()) - await this.collection.updateOne( + await collection.updateOne( { sessionId: id }, { $push: { messages: { $each: messageToAdd } } @@ -207,14 +176,19 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { { upsert: true } ) } + + await client.close() } async clearChatMessages(overrideSessionId = ''): Promise { - if (!this.collection) return + const client = new MongoClient(this.mongoConnection.mongoDBConnectUrl, { driverInfo: this.mongoConnection.driverInfo }) + const collection = client.db(this.mongoConnection.databaseName).collection(this.mongoConnection.collectionName) const id = overrideSessionId ? overrideSessionId : this.sessionId - await this.collection.deleteOne({ sessionId: id }) + await collection.deleteOne({ sessionId: id }) await this.clear() + + await client.close() } } diff --git a/packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts b/packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts index 9900b8cd0fe..2f4f3ca077b 100644 --- a/packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts +++ b/packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts @@ -1,7 +1,5 @@ import { Redis, RedisOptions } from 'ioredis' -import { isEqual } from 'lodash' import { BufferMemory, BufferMemoryInput } from 'langchain/memory' -import { RedisChatMessageHistory, RedisChatMessageHistoryInput } from '@langchain/community/stores/message/ioredis' import { mapStoredMessageToChatMessage, BaseMessage, AIMessage, HumanMessage } from '@langchain/core/messages' import { INode, INodeData, INodeParams, ICommonObject, MessageType, IMessage, MemoryMethods, FlowiseMemory } from '../../../src/Interface' import { @@ -12,42 +10,6 @@ import { mapChatMessageToBaseMessage } from '../../../src/utils' -let redisClientSingleton: Redis -let redisClientOption: RedisOptions -let redisClientUrl: string - -const getRedisClientbyOption = (option: RedisOptions) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } else if (redisClientSingleton && !isEqual(option, redisClientOption)) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } - return redisClientSingleton -} - -const getRedisClientbyUrl = (url: string) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } else if (redisClientSingleton && url !== redisClientUrl) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = new Redis(url) - redisClientUrl = url - return redisClientSingleton - } - return redisClientSingleton -} - class RedisBackedChatMemory_Memory implements INode { label: string name: string @@ -91,7 +53,7 @@ class RedisBackedChatMemory_Memory implements INode { label: 'Session Timeouts', name: 'sessionTTL', type: 'number', - description: 'Omit this parameter to make sessions never expire', + description: 'Seconds till a session expires. If not specified, the session will never expire.', additionalParams: true, optional: true }, @@ -114,11 +76,11 @@ class RedisBackedChatMemory_Memory implements INode { } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - return await initalizeRedis(nodeData, options) + return await initializeRedis(nodeData, options) } } -const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Promise => { +const initializeRedis = async (nodeData: INodeData, options: ICommonObject): Promise => { const sessionTTL = nodeData.inputs?.sessionTTL as number const memoryKey = nodeData.inputs?.memoryKey as string const sessionId = nodeData.inputs?.sessionId as string @@ -127,73 +89,55 @@ const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Prom const credentialData = await getCredentialData(nodeData.credential ?? '', options) const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData) - let client: Redis - - if (!redisUrl || redisUrl === '') { - const username = getCredentialParam('redisCacheUser', credentialData, nodeData) - const password = getCredentialParam('redisCachePwd', credentialData, nodeData) - const portStr = getCredentialParam('redisCachePort', credentialData, nodeData) - const host = getCredentialParam('redisCacheHost', credentialData, nodeData) - const sslEnabled = getCredentialParam('redisCacheSslEnabled', credentialData, nodeData) - - const tlsOptions = sslEnabled === true ? { tls: { rejectUnauthorized: false } } : {} - - client = getRedisClientbyOption({ - port: portStr ? parseInt(portStr) : 6379, - host, - username, - password, - ...tlsOptions - }) - } else { - client = getRedisClientbyUrl(redisUrl) - } - - let obj: RedisChatMessageHistoryInput = { - sessionId, - client - } - - if (sessionTTL) { - obj = { - ...obj, - sessionTTL - } - } - - const redisChatMessageHistory = new RedisChatMessageHistory(obj) + const redisOptions = redisUrl + ? redisUrl + : ({ + port: parseInt(getCredentialParam('redisCachePort', credentialData, nodeData) || '6379'), + host: getCredentialParam('redisCacheHost', credentialData, nodeData), + username: getCredentialParam('redisCacheUser', credentialData, nodeData), + password: getCredentialParam('redisCachePwd', credentialData, nodeData), + tls: getCredentialParam('redisCacheSslEnabled', credentialData, nodeData) ? { rejectUnauthorized: false } : undefined + } as RedisOptions) const memory = new BufferMemoryExtended({ memoryKey: memoryKey ?? 'chat_history', - chatHistory: redisChatMessageHistory, sessionId, windowSize, - redisClient: client, - sessionTTL + sessionTTL, + redisOptions }) return memory } interface BufferMemoryExtendedInput { - redisClient: Redis sessionId: string windowSize?: number sessionTTL?: number + redisOptions: RedisOptions | string } class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { sessionId = '' - redisClient: Redis windowSize?: number sessionTTL?: number + redisOptions: RedisOptions | string constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) { super(fields) this.sessionId = fields.sessionId - this.redisClient = fields.redisClient this.windowSize = fields.windowSize this.sessionTTL = fields.sessionTTL + this.redisOptions = fields.redisOptions + } + + private async withRedisClient(fn: (client: Redis) => Promise): Promise { + const client = typeof this.redisOptions === 'string' ? new Redis(this.redisOptions) : new Redis(this.redisOptions) + try { + return await fn(client) + } finally { + await client.quit() + } } async getChatMessages( @@ -201,46 +145,46 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { returnBaseMessages = false, prependMessages?: IMessage[] ): Promise { - if (!this.redisClient) return [] - - const id = overrideSessionId ? overrideSessionId : this.sessionId - const rawStoredMessages = await this.redisClient.lrange(id, this.windowSize ? this.windowSize * -1 : 0, -1) - const orderedMessages = rawStoredMessages.reverse().map((message) => JSON.parse(message)) - const baseMessages = orderedMessages.map(mapStoredMessageToChatMessage) - if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) - } - return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) + return this.withRedisClient(async (client) => { + const id = overrideSessionId ? overrideSessionId : this.sessionId + const rawStoredMessages = await client.lrange(id, this.windowSize ? this.windowSize * -1 : 0, -1) + const orderedMessages = rawStoredMessages.reverse().map((message) => JSON.parse(message)) + const baseMessages = orderedMessages.map(mapStoredMessageToChatMessage) + if (prependMessages?.length) { + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) + } + return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) + }) } async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise { - if (!this.redisClient) return - - const id = overrideSessionId ? overrideSessionId : this.sessionId - const input = msgArray.find((msg) => msg.type === 'userMessage') - const output = msgArray.find((msg) => msg.type === 'apiMessage') - - if (input) { - const newInputMessage = new HumanMessage(input.text) - const messageToAdd = [newInputMessage].map((msg) => msg.toDict()) - await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0])) - if (this.sessionTTL) await this.redisClient.expire(id, this.sessionTTL) - } + await this.withRedisClient(async (client) => { + const id = overrideSessionId ? overrideSessionId : this.sessionId + const input = msgArray.find((msg) => msg.type === 'userMessage') + const output = msgArray.find((msg) => msg.type === 'apiMessage') + + if (input) { + const newInputMessage = new HumanMessage(input.text) + const messageToAdd = [newInputMessage].map((msg) => msg.toDict()) + await client.lpush(id, JSON.stringify(messageToAdd[0])) + if (this.sessionTTL) await client.expire(id, this.sessionTTL) + } - if (output) { - const newOutputMessage = new AIMessage(output.text) - const messageToAdd = [newOutputMessage].map((msg) => msg.toDict()) - await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0])) - if (this.sessionTTL) await this.redisClient.expire(id, this.sessionTTL) - } + if (output) { + const newOutputMessage = new AIMessage(output.text) + const messageToAdd = [newOutputMessage].map((msg) => msg.toDict()) + await client.lpush(id, JSON.stringify(messageToAdd[0])) + if (this.sessionTTL) await client.expire(id, this.sessionTTL) + } + }) } async clearChatMessages(overrideSessionId = ''): Promise { - if (!this.redisClient) return - - const id = overrideSessionId ? overrideSessionId : this.sessionId - await this.redisClient.del(id) - await this.clear() + await this.withRedisClient(async (client) => { + const id = overrideSessionId ? overrideSessionId : this.sessionId + await client.del(id) + await this.clear() + }) } } diff --git a/packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts b/packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts index 7eb9b3906ce..5c3d74dd5b8 100644 --- a/packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts +++ b/packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts @@ -1,5 +1,4 @@ -import { Redis, RedisConfigNodejs } from '@upstash/redis' -import { isEqual } from 'lodash' +import { Redis } from '@upstash/redis' import { BufferMemory, BufferMemoryInput } from 'langchain/memory' import { UpstashRedisChatMessageHistory } from '@langchain/community/stores/message/upstash_redis' import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, StoredMessage, BaseMessage } from '@langchain/core/messages' @@ -13,24 +12,6 @@ import { } from '../../../src/utils' import { ICommonObject } from '../../../src/Interface' -let redisClientSingleton: Redis -let redisClientOption: RedisConfigNodejs - -const getRedisClientbyOption = (option: RedisConfigNodejs) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } else if (redisClientSingleton && !isEqual(option, redisClientOption)) { - // if client exists but option changed - redisClientSingleton = new Redis(option) - redisClientOption = option - return redisClientSingleton - } - return redisClientSingleton -} - class UpstashRedisBackedChatMemory_Memory implements INode { label: string name: string @@ -80,7 +61,7 @@ class UpstashRedisBackedChatMemory_Memory implements INode { label: 'Session Timeouts', name: 'sessionTTL', type: 'number', - description: 'Omit this parameter to make sessions never expire', + description: 'Seconds till a session expires. If not specified, the session will never expire.', additionalParams: true, optional: true }, @@ -109,7 +90,7 @@ const initalizeUpstashRedis = async (nodeData: INodeData, options: ICommonObject const credentialData = await getCredentialData(nodeData.credential ?? '', options) const upstashRestToken = getCredentialParam('upstashRestToken', credentialData, nodeData) - const client = getRedisClientbyOption({ + const client = new Redis({ url: baseURL, token: upstashRestToken }) @@ -162,7 +143,7 @@ class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods { const previousMessages = orderedMessages.filter((x): x is StoredMessage => x.type !== undefined && x.data.content !== undefined) const baseMessages = previousMessages.map(mapStoredMessageToChatMessage) if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) } return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) } diff --git a/packages/components/nodes/memory/ZepMemory/ZepMemory.ts b/packages/components/nodes/memory/ZepMemory/ZepMemory.ts index 3f654146dc6..7832d0ff526 100644 --- a/packages/components/nodes/memory/ZepMemory/ZepMemory.ts +++ b/packages/components/nodes/memory/ZepMemory/ZepMemory.ts @@ -176,7 +176,7 @@ class ZepMemoryExtended extends ZepMemory implements MemoryMethods { const memoryVariables = await this.loadMemoryVariables({}, id) const baseMessages = memoryVariables[this.memoryKey] if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) } return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) } diff --git a/packages/components/nodes/memory/ZepMemoryCloud/ZepMemoryCloud.ts b/packages/components/nodes/memory/ZepMemoryCloud/ZepMemoryCloud.ts index b524bfe5483..237e026c721 100644 --- a/packages/components/nodes/memory/ZepMemoryCloud/ZepMemoryCloud.ts +++ b/packages/components/nodes/memory/ZepMemoryCloud/ZepMemoryCloud.ts @@ -169,7 +169,7 @@ class ZepMemoryExtended extends ZepMemory implements MemoryMethods { const memoryVariables = await this.loadMemoryVariables({}, id) const baseMessages = memoryVariables[this.memoryKey] if (prependMessages?.length) { - baseMessages.unshift(...mapChatMessageToBaseMessage(prependMessages)) + baseMessages.unshift(...(await mapChatMessageToBaseMessage(prependMessages))) } return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages) } diff --git a/packages/components/nodes/moderation/Moderation.ts b/packages/components/nodes/moderation/Moderation.ts index 9fd2bfde340..7e37ee5be17 100644 --- a/packages/components/nodes/moderation/Moderation.ts +++ b/packages/components/nodes/moderation/Moderation.ts @@ -1,4 +1,4 @@ -import { Server } from 'socket.io' +import { IServerSideEventStreamer } from '../../src' export abstract class Moderation { abstract checkForViolations(input: string): Promise @@ -13,15 +13,13 @@ export const checkInputs = async (inputModerations: Moderation[], input: string) // is this the correct location for this function? // should we have a utils files that all node components can use? -export const streamResponse = (isStreaming: any, response: string, socketIO: Server, socketIOClientId: string) => { - if (isStreaming) { - const result = response.split(/(\s+)/) - result.forEach((token: string, index: number) => { - if (index === 0) { - socketIO.to(socketIOClientId).emit('start', token) - } - socketIO.to(socketIOClientId).emit('token', token) - }) - socketIO.to(socketIOClientId).emit('end') - } +export const streamResponse = (sseStreamer: IServerSideEventStreamer, chatId: string, response: string) => { + const result = response.split(/(\s+)/) + result.forEach((token: string, index: number) => { + if (index === 0) { + sseStreamer.streamStartEvent(chatId, token) + } + sseStreamer.streamTokenEvent(chatId, token) + }) + sseStreamer.streamEndEvent(chatId) } diff --git a/packages/components/nodes/multiagents/Supervisor/Supervisor.ts b/packages/components/nodes/multiagents/Supervisor/Supervisor.ts index cccd23486ef..1cd78eae004 100644 --- a/packages/components/nodes/multiagents/Supervisor/Supervisor.ts +++ b/packages/components/nodes/multiagents/Supervisor/Supervisor.ts @@ -209,11 +209,11 @@ class Supervisor_MultiAgents implements INode { prompt = messages.prompt multiModalMessageContent = messages.multiModalMessageContent - if (llm.bindTools === undefined) { + if ((llm as any).bindTools === undefined) { throw new Error(`This agent only compatible with function calling models.`) } - const modelWithTool = llm.bindTools([tool]) + const modelWithTool = (llm as any).bindTools([tool]) const outputParser = new ToolCallingAgentOutputParser() @@ -464,11 +464,11 @@ class Supervisor_MultiAgents implements INode { prompt = messages.prompt multiModalMessageContent = messages.multiModalMessageContent - if (llm.bindTools === undefined) { + if ((llm as any).bindTools === undefined) { throw new Error(`This agent only compatible with function calling models.`) } - const modelWithTool = llm.bindTools([tool]) + const modelWithTool = (llm as any).bindTools([tool]) const outputParser = new ToolCallingAgentOutputParser() diff --git a/packages/components/nodes/multiagents/Worker/Worker.ts b/packages/components/nodes/multiagents/Worker/Worker.ts index 06a5d059cc2..5651135a14d 100644 --- a/packages/components/nodes/multiagents/Worker/Worker.ts +++ b/packages/components/nodes/multiagents/Worker/Worker.ts @@ -233,7 +233,7 @@ async function createAgent( sessionId: flowObj?.sessionId, chatId: flowObj?.chatId, input: flowObj?.input, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', maxIterations: maxIterations ? parseFloat(maxIterations) : undefined }) return executor diff --git a/packages/components/nodes/outputparsers/StructuredOutputParser/StructuredOutputParser.ts b/packages/components/nodes/outputparsers/StructuredOutputParser/StructuredOutputParser.ts index 5162730d84f..85110e71894 100644 --- a/packages/components/nodes/outputparsers/StructuredOutputParser/StructuredOutputParser.ts +++ b/packages/components/nodes/outputparsers/StructuredOutputParser/StructuredOutputParser.ts @@ -3,6 +3,7 @@ import { BaseOutputParser } from '@langchain/core/output_parsers' import { StructuredOutputParser as LangchainStructuredOutputParser } from 'langchain/output_parsers' import { CATEGORY } from '../OutputParserHelpers' import { convertSchemaToZod, getBaseClasses, INode, INodeData, INodeParams } from '../../../src' +import { jsonrepair } from 'jsonrepair' class StructuredOutputParser implements INode { label: string @@ -74,6 +75,14 @@ class StructuredOutputParser implements INode { const zodSchema = z.object(convertSchemaToZod(jsonStructure)) as any const structuredOutputParser = LangchainStructuredOutputParser.fromZodSchema(zodSchema) + const baseParse = structuredOutputParser.parse + + // Fix broken JSON from LLM + structuredOutputParser.parse = (text) => { + const jsonString = text.includes('```') ? text.trim().split(/```(?:json)?/)[1] : text.trim() + return baseParse.call(structuredOutputParser, jsonrepair(jsonString)) + } + // NOTE: When we change Flowise to return a json response, the following has to be changed to: JsonStructuredOutputParser Object.defineProperty(structuredOutputParser, 'autoFix', { enumerable: true, diff --git a/packages/components/nodes/outputparsers/StructuredOutputParserAdvanced/StructuredOutputParserAdvanced.ts b/packages/components/nodes/outputparsers/StructuredOutputParserAdvanced/StructuredOutputParserAdvanced.ts index 69c45ff0039..e9f55964190 100644 --- a/packages/components/nodes/outputparsers/StructuredOutputParserAdvanced/StructuredOutputParserAdvanced.ts +++ b/packages/components/nodes/outputparsers/StructuredOutputParserAdvanced/StructuredOutputParserAdvanced.ts @@ -3,6 +3,7 @@ import { BaseOutputParser } from '@langchain/core/output_parsers' import { StructuredOutputParser as LangchainStructuredOutputParser } from 'langchain/output_parsers' import { CATEGORY } from '../OutputParserHelpers' import { z } from 'zod' +import { jsonrepair } from 'jsonrepair' class AdvancedStructuredOutputParser implements INode { label: string @@ -62,6 +63,14 @@ class AdvancedStructuredOutputParser implements INode { try { const structuredOutputParser = LangchainStructuredOutputParser.fromZodSchema(zodSchema) + const baseParse = structuredOutputParser.parse + + // Fix broken JSON from LLM + structuredOutputParser.parse = (text) => { + const jsonString = text.includes('```') ? text.trim().split(/```(?:json)?/)[1] : text.trim() + return baseParse.call(structuredOutputParser, jsonrepair(jsonString)) + } + // NOTE: When we change Flowise to return a json response, the following has to be changed to: JsonStructuredOutputParser Object.defineProperty(structuredOutputParser, 'autoFix', { enumerable: true, diff --git a/packages/components/nodes/prompts/ChatPromptTemplate/ChatPromptTemplate.ts b/packages/components/nodes/prompts/ChatPromptTemplate/ChatPromptTemplate.ts index 88fa02d3f62..b1c0fbc0635 100644 --- a/packages/components/nodes/prompts/ChatPromptTemplate/ChatPromptTemplate.ts +++ b/packages/components/nodes/prompts/ChatPromptTemplate/ChatPromptTemplate.ts @@ -1,6 +1,33 @@ -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses } from '../../../src/utils' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, transformBracesWithColon } from '../../../src/utils' import { ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate } from '@langchain/core/prompts' +import { getVM } from '../../sequentialagents/commonUtils' +import { DataSource } from 'typeorm' +const defaultFunc = `const { AIMessage, HumanMessage, ToolMessage } = require('@langchain/core/messages'); + +return [ + new HumanMessage("What is 333382 🦜 1932?"), + new AIMessage({ + content: "", + tool_calls: [ + { + id: "12345", + name: "calulator", + args: { + number1: 333382, + number2: 1932, + operation: "divide", + }, + }, + ], + }), + new ToolMessage({ + tool_call_id: "12345", + content: "The answer is 172.558.", + }), + new AIMessage("The answer is 172.558."), +]` +const TAB_IDENTIFIER = 'selectedMessagesTab' class ChatPromptTemplate_Prompts implements INode { label: string @@ -16,7 +43,7 @@ class ChatPromptTemplate_Prompts implements INode { constructor() { this.label = 'Chat Prompt Template' this.name = 'chatPromptTemplate' - this.version = 1.0 + this.version = 2.0 this.type = 'ChatPromptTemplate' this.icon = 'prompt.svg' this.category = 'Prompts' @@ -33,6 +60,7 @@ class ChatPromptTemplate_Prompts implements INode { { label: 'Human Message', name: 'humanMessagePrompt', + description: 'This prompt will be added at the end of the messages as human message', type: 'string', rows: 4, placeholder: `{text}` @@ -44,20 +72,68 @@ class ChatPromptTemplate_Prompts implements INode { optional: true, acceptVariable: true, list: true + }, + { + label: 'Messages History', + name: 'messageHistory', + description: 'Add messages after System Message. This is useful when you want to provide few shot examples', + type: 'tabs', + tabIdentifier: TAB_IDENTIFIER, + additionalParams: true, + default: 'messageHistoryCode', + tabs: [ + //TODO: add UI for messageHistory + { + label: 'Add Messages (Code)', + name: 'messageHistoryCode', + type: 'code', + hideCodeExecute: true, + codeExample: defaultFunc, + optional: true, + additionalParams: true + } + ] } ] } - async init(nodeData: INodeData): Promise { - const systemMessagePrompt = nodeData.inputs?.systemMessagePrompt as string - const humanMessagePrompt = nodeData.inputs?.humanMessagePrompt as string + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + let systemMessagePrompt = nodeData.inputs?.systemMessagePrompt as string + let humanMessagePrompt = nodeData.inputs?.humanMessagePrompt as string const promptValuesStr = nodeData.inputs?.promptValues + const tabIdentifier = nodeData.inputs?.[`${TAB_IDENTIFIER}_${nodeData.id}`] as string + const selectedTab = tabIdentifier ? tabIdentifier.split(`_${nodeData.id}`)[0] : 'messageHistoryCode' + const messageHistoryCode = nodeData.inputs?.messageHistoryCode + const messageHistory = nodeData.inputs?.messageHistory + + systemMessagePrompt = transformBracesWithColon(systemMessagePrompt) + humanMessagePrompt = transformBracesWithColon(humanMessagePrompt) - const prompt = ChatPromptTemplate.fromMessages([ + let prompt = ChatPromptTemplate.fromMessages([ SystemMessagePromptTemplate.fromTemplate(systemMessagePrompt), HumanMessagePromptTemplate.fromTemplate(humanMessagePrompt) ]) + if ( + (messageHistory && messageHistory === 'messageHistoryCode' && messageHistoryCode) || + (selectedTab === 'messageHistoryCode' && messageHistoryCode) + ) { + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + const vm = await getVM(appDataSource, databaseEntities, nodeData, {}) + try { + const response = await vm.run(`module.exports = async function() {${messageHistoryCode}}()`, __dirname) + if (!Array.isArray(response)) throw new Error('Returned message history must be an array') + prompt = ChatPromptTemplate.fromMessages([ + SystemMessagePromptTemplate.fromTemplate(systemMessagePrompt), + ...response, + HumanMessagePromptTemplate.fromTemplate(humanMessagePrompt) + ]) + } catch (e) { + throw new Error(e) + } + } + let promptValues: ICommonObject = {} if (promptValuesStr) { try { diff --git a/packages/components/nodes/prompts/FewShotPromptTemplate/FewShotPromptTemplate.ts b/packages/components/nodes/prompts/FewShotPromptTemplate/FewShotPromptTemplate.ts index f2d9c0fae55..ff93b988c35 100644 --- a/packages/components/nodes/prompts/FewShotPromptTemplate/FewShotPromptTemplate.ts +++ b/packages/components/nodes/prompts/FewShotPromptTemplate/FewShotPromptTemplate.ts @@ -86,7 +86,7 @@ class FewShotPromptTemplate_Prompts implements INode { const templateFormat = nodeData.inputs?.templateFormat as TemplateFormat const examplePrompt = nodeData.inputs?.examplePrompt as PromptTemplate - const inputVariables = getInputVariables(suffix) + const inputVariables = [...new Set([...getInputVariables(suffix), ...getInputVariables(prefix)])] let examples: Example[] = [] if (examplesStr) { diff --git a/packages/components/nodes/prompts/PromptLangfuse/PromptLangfuse.ts b/packages/components/nodes/prompts/PromptLangfuse/PromptLangfuse.ts index 63dbe953012..8695ac1cc10 100644 --- a/packages/components/nodes/prompts/PromptLangfuse/PromptLangfuse.ts +++ b/packages/components/nodes/prompts/PromptLangfuse/PromptLangfuse.ts @@ -1,5 +1,5 @@ import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam, getInputVariables } from '../../../src/utils' +import { getBaseClasses, getCredentialData, getCredentialParam, getInputVariables, transformBracesWithColon } from '../../../src/utils' import { PromptTemplateInput } from '@langchain/core/prompts' import { Langfuse } from 'langfuse' @@ -64,7 +64,7 @@ class PromptLangfuse_Prompts implements INode { }) const langfusePrompt = await langfuse.getPrompt(nodeData.inputs?.template as string) - const template = langfusePrompt.getLangchainPrompt() + let template = langfusePrompt.getLangchainPrompt() const promptValuesStr = nodeData.inputs?.promptValues @@ -78,6 +78,7 @@ class PromptLangfuse_Prompts implements INode { } const inputVariables = getInputVariables(template) + template = transformBracesWithColon(template) try { const options: PromptTemplateInput = { diff --git a/packages/components/nodes/prompts/PromptTemplate/PromptTemplate.ts b/packages/components/nodes/prompts/PromptTemplate/PromptTemplate.ts index 7ecf37d1d98..ead5bab9a57 100644 --- a/packages/components/nodes/prompts/PromptTemplate/PromptTemplate.ts +++ b/packages/components/nodes/prompts/PromptTemplate/PromptTemplate.ts @@ -1,5 +1,5 @@ import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface' -import { getBaseClasses, getInputVariables } from '../../../src/utils' +import { getBaseClasses, getInputVariables, transformBracesWithColon } from '../../../src/utils' import { PromptTemplateInput } from '@langchain/core/prompts' class PromptTemplate_Prompts implements INode { @@ -42,7 +42,7 @@ class PromptTemplate_Prompts implements INode { } async init(nodeData: INodeData): Promise { - const template = nodeData.inputs?.template as string + let template = nodeData.inputs?.template as string const promptValuesStr = nodeData.inputs?.promptValues let promptValues: ICommonObject = {} @@ -55,6 +55,7 @@ class PromptTemplate_Prompts implements INode { } const inputVariables = getInputVariables(template) + template = transformBracesWithColon(template) try { const options: PromptTemplateInput = { diff --git a/packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts b/packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts index 9e7055208eb..a1571b028c1 100644 --- a/packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts +++ b/packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts @@ -1,7 +1,7 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { ListKeyOptions, RecordManagerInterface, UpdateOptions } from '@langchain/community/indexes/base' -import { DataSource, QueryRunner } from 'typeorm' +import { DataSource } from 'typeorm' class MySQLRecordManager_RecordManager implements INode { label: string @@ -167,29 +167,50 @@ type MySQLRecordManagerOptions = { class MySQLRecordManager implements RecordManagerInterface { lc_namespace = ['langchain', 'recordmanagers', 'mysql'] - - datasource: DataSource - - queryRunner: QueryRunner - + config: MySQLRecordManagerOptions tableName: string - namespace: string constructor(namespace: string, config: MySQLRecordManagerOptions) { - const { mysqlOptions, tableName } = config + const { tableName } = config this.namespace = namespace this.tableName = tableName || 'upsertion_records' - this.datasource = new DataSource(mysqlOptions) + this.config = config + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { mysqlOptions } = this.config + if (!mysqlOptions) { + throw new Error('No datasource options provided') + } + // Prevent using default Postgres port, otherwise will throw uncaught error and crashing the app + if (mysqlOptions.port === 5432) { + throw new Error('Invalid port number') + } + const dataSource = new DataSource(mysqlOptions) + await dataSource.initialize() + return dataSource } async createSchema(): Promise { try { - const appDataSource = await this.datasource.initialize() - - this.queryRunner = appDataSource.createQueryRunner() + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) - await this.queryRunner.manager.query(`create table if not exists \`${this.tableName}\` ( + await queryRunner.manager.query(`create table if not exists \`${this.sanitizeTableName(tableName)}\` ( \`uuid\` varchar(36) primary key default (UUID()), \`key\` varchar(255) not null, \`namespace\` varchar(255) not null, @@ -197,17 +218,20 @@ class MySQLRecordManager implements RecordManagerInterface { \`group_id\` longtext, unique key \`unique_key_namespace\` (\`key\`, \`namespace\`));`) + const columns = [`updated_at`, `key`, `namespace`, `group_id`] for (const column of columns) { // MySQL does not support 'IF NOT EXISTS' function for Index - const Check = await this.queryRunner.manager.query( + const Check = await queryRunner.manager.query( `SELECT COUNT(1) IndexIsThere FROM INFORMATION_SCHEMA.STATISTICS - WHERE table_schema=DATABASE() AND table_name='${this.tableName}' AND index_name='${column}_index';` + WHERE table_schema=DATABASE() AND table_name='${tableName}' AND index_name='${column}_index';` ) if (Check[0].IndexIsThere === 0) - await this.queryRunner.manager.query(`CREATE INDEX \`${column}_index\` - ON \`${this.tableName}\` (\`${column}\`);`) + await queryRunner.manager.query(`CREATE INDEX \`${column}_index\` + ON \`${tableName}\` (\`${column}\`);`) } + + await queryRunner.release() } catch (e: any) { // This error indicates that the table already exists // Due to asynchronous nature of the code, it is possible that @@ -221,12 +245,17 @@ class MySQLRecordManager implements RecordManagerInterface { } async getTime(): Promise { + const dataSource = await this.getDataSource() try { - const res = await this.queryRunner.manager.query(`SELECT UNIX_TIMESTAMP(NOW()) AS epoch`) + const queryRunner = dataSource.createQueryRunner() + const res = await queryRunner.manager.query(`SELECT UNIX_TIMESTAMP(NOW()) AS epoch`) + await queryRunner.release() return Number.parseFloat(res[0].epoch) } catch (error) { console.error('Error getting time in MySQLRecordManager:') throw error + } finally { + await dataSource.destroy() } } @@ -235,6 +264,10 @@ class MySQLRecordManager implements RecordManagerInterface { return } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + const updatedAt = await this.getTime() const { timeAtLeast, groupIds: _groupIds } = updateOptions ?? {} @@ -256,14 +289,23 @@ class MySQLRecordManager implements RecordManagerInterface { ]) const query = ` - INSERT INTO \`${this.tableName}\` (\`key\`, \`namespace\`, \`updated_at\`, \`group_id\`) + INSERT INTO \`${tableName}\` (\`key\`, \`namespace\`, \`updated_at\`, \`group_id\`) VALUES (?, ?, ?, ?) - ON DUPLICATE KEY UPDATE updated_at = updated_at;` + ON DUPLICATE KEY UPDATE \`updated_at\` = VALUES(\`updated_at\`)` // To handle multiple files upsert - for (const record of recordsToUpsert) { - // Consider using a transaction for batch operations - await this.queryRunner.manager.query(query, record.flat()) + try { + for (const record of recordsToUpsert) { + // Consider using a transaction for batch operations + await queryRunner.manager.query(query, record.flat()) + } + + await queryRunner.release() + } catch (error) { + console.error('Error updating in MySQLRecordManager:') + throw error + } finally { + await dataSource.destroy() } } @@ -272,11 +314,15 @@ class MySQLRecordManager implements RecordManagerInterface { return [] } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + // Prepare the placeholders and the query const placeholders = keys.map(() => `?`).join(', ') const query = ` SELECT \`key\` - FROM \`${this.tableName}\` + FROM \`${tableName}\` WHERE \`namespace\` = ? AND \`key\` IN (${placeholders})` // Initialize an array to fill with the existence checks @@ -284,24 +330,31 @@ class MySQLRecordManager implements RecordManagerInterface { try { // Execute the query - const rows = await this.queryRunner.manager.query(query, [this.namespace, ...keys.flat()]) + const rows = await queryRunner.manager.query(query, [this.namespace, ...keys.flat()]) // Create a set of existing keys for faster lookup const existingKeysSet = new Set(rows.map((row: { key: string }) => row.key)) // Map the input keys to booleans indicating if they exist keys.forEach((key, index) => { existsArray[index] = existingKeysSet.has(key) }) + await queryRunner.release() return existsArray } catch (error) { console.error('Error checking existence of keys') - throw error // Allow the caller to handle the error + throw error + } finally { + await dataSource.destroy() } } async listKeys(options?: ListKeyOptions): Promise { + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + try { const { before, after, limit, groupIds } = options ?? {} - let query = `SELECT \`key\` FROM \`${this.tableName}\` WHERE \`namespace\` = ?` + let query = `SELECT \`key\` FROM \`${tableName}\` WHERE \`namespace\` = ?` const values: (string | number | string[])[] = [this.namespace] if (before) { @@ -330,11 +383,14 @@ class MySQLRecordManager implements RecordManagerInterface { query += ';' // Directly using try/catch with async/await for cleaner flow - const result = await this.queryRunner.manager.query(query, values) + const result = await queryRunner.manager.query(query, values) + await queryRunner.release() return result.map((row: { key: string }) => row.key) } catch (error) { console.error('MySQLRecordManager listKeys Error: ') - throw error // Re-throw the error to be handled by the caller + throw error + } finally { + await dataSource.destroy() } } @@ -343,16 +399,23 @@ class MySQLRecordManager implements RecordManagerInterface { return } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + const placeholders = keys.map(() => '?').join(', ') - const query = `DELETE FROM \`${this.tableName}\` WHERE \`namespace\` = ? AND \`key\` IN (${placeholders});` + const query = `DELETE FROM \`${tableName}\` WHERE \`namespace\` = ? AND \`key\` IN (${placeholders});` const values = [this.namespace, ...keys].map((v) => (typeof v !== 'string' ? `${v}` : v)) // Directly using try/catch with async/await for cleaner flow try { - await this.queryRunner.manager.query(query, values) + await queryRunner.manager.query(query, values) + await queryRunner.release() } catch (error) { console.error('Error deleting keys') - throw error // Re-throw the error to be handled by the caller + throw error + } finally { + await dataSource.destroy() } } } diff --git a/packages/components/nodes/recordmanager/PostgresRecordManager/PostgresRecordManager.ts b/packages/components/nodes/recordmanager/PostgresRecordManager/PostgresRecordManager.ts index e01d85b5b0a..63beee92793 100644 --- a/packages/components/nodes/recordmanager/PostgresRecordManager/PostgresRecordManager.ts +++ b/packages/components/nodes/recordmanager/PostgresRecordManager/PostgresRecordManager.ts @@ -1,7 +1,11 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { ListKeyOptions, RecordManagerInterface, UpdateOptions } from '@langchain/community/indexes/base' -import { DataSource, QueryRunner } from 'typeorm' +import { DataSource } from 'typeorm' +import { getHost } from '../../vectorstores/Postgres/utils' +import { getDatabase, getPort, getTableName } from './utils' + +const serverCredentialsExists = !!process.env.POSTGRES_RECORDMANAGER_USER && !!process.env.POSTGRES_RECORDMANAGER_PASSWORD class PostgresRecordManager_RecordManager implements INode { label: string @@ -29,18 +33,22 @@ class PostgresRecordManager_RecordManager implements INode { { label: 'Host', name: 'host', - type: 'string' + type: 'string', + placeholder: getHost(), + optional: !!getHost() }, { label: 'Database', name: 'database', - type: 'string' + type: 'string', + placeholder: getDatabase(), + optional: !!getDatabase() }, { label: 'Port', name: 'port', type: 'number', - placeholder: '5432', + placeholder: getPort(), optional: true }, { @@ -54,7 +62,7 @@ class PostgresRecordManager_RecordManager implements INode { label: 'Table Name', name: 'tableName', type: 'string', - placeholder: 'upsertion_records', + placeholder: getTableName(), additionalParams: true, optional: true }, @@ -110,16 +118,16 @@ class PostgresRecordManager_RecordManager implements INode { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['PostgresApi'] + credentialNames: ['PostgresApi'], + optional: serverCredentialsExists } } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const user = getCredentialParam('user', credentialData, nodeData) - const password = getCredentialParam('password', credentialData, nodeData) - const _tableName = nodeData.inputs?.tableName as string - const tableName = _tableName ? _tableName : 'upsertion_records' + const user = getCredentialParam('user', credentialData, nodeData, process.env.POSTGRES_RECORDMANAGER_USER) + const password = getCredentialParam('password', credentialData, nodeData, process.env.POSTGRES_RECORDMANAGER_PASSWORD) + const tableName = getTableName(nodeData) const additionalConfig = nodeData.inputs?.additionalConfig as string const _namespace = nodeData.inputs?.namespace as string const namespace = _namespace ? _namespace : options.chatflowid @@ -139,11 +147,11 @@ class PostgresRecordManager_RecordManager implements INode { const postgresConnectionOptions = { ...additionalConfiguration, type: 'postgres', - host: nodeData.inputs?.host as string, - port: nodeData.inputs?.port as number, + host: getHost(nodeData), + port: getPort(nodeData), username: user, password: password, - database: nodeData.inputs?.database as string + database: getDatabase(nodeData) } const args = { @@ -162,35 +170,56 @@ class PostgresRecordManager_RecordManager implements INode { type PostgresRecordManagerOptions = { postgresConnectionOptions: any - tableName?: string + tableName: string } class PostgresRecordManager implements RecordManagerInterface { lc_namespace = ['langchain', 'recordmanagers', 'postgres'] - - datasource: DataSource - - queryRunner: QueryRunner - + config: PostgresRecordManagerOptions tableName: string - namespace: string constructor(namespace: string, config: PostgresRecordManagerOptions) { - const { postgresConnectionOptions, tableName } = config + const { tableName } = config this.namespace = namespace - this.datasource = new DataSource(postgresConnectionOptions) - this.tableName = tableName || 'upsertion_records' + this.tableName = tableName + this.config = config + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { postgresConnectionOptions } = this.config + if (!postgresConnectionOptions) { + throw new Error('No datasource options provided') + } + // Prevent using default MySQL port, otherwise will throw uncaught error and crashing the app + if (postgresConnectionOptions.port === 3006) { + throw new Error('Invalid port number') + } + const dataSource = new DataSource(postgresConnectionOptions) + await dataSource.initialize() + return dataSource } async createSchema(): Promise { try { - const appDataSource = await this.datasource.initialize() + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) - this.queryRunner = appDataSource.createQueryRunner() - - await this.queryRunner.manager.query(` - CREATE TABLE IF NOT EXISTS "${this.tableName}" ( + await queryRunner.manager.query(` + CREATE TABLE IF NOT EXISTS "${tableName}" ( uuid UUID PRIMARY KEY DEFAULT gen_random_uuid(), key TEXT NOT NULL, namespace TEXT NOT NULL, @@ -198,10 +227,12 @@ class PostgresRecordManager implements RecordManagerInterface { group_id TEXT, UNIQUE (key, namespace) ); - CREATE INDEX IF NOT EXISTS updated_at_index ON "${this.tableName}" (updated_at); - CREATE INDEX IF NOT EXISTS key_index ON "${this.tableName}" (key); - CREATE INDEX IF NOT EXISTS namespace_index ON "${this.tableName}" (namespace); - CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) + CREATE INDEX IF NOT EXISTS updated_at_index ON "${tableName}" (updated_at); + CREATE INDEX IF NOT EXISTS key_index ON "${tableName}" (key); + CREATE INDEX IF NOT EXISTS namespace_index ON "${tableName}" (namespace); + CREATE INDEX IF NOT EXISTS group_id_index ON "${tableName}" (group_id);`) + + await queryRunner.release() } catch (e: any) { // This error indicates that the table already exists // Due to asynchronous nature of the code, it is possible that @@ -215,8 +246,18 @@ class PostgresRecordManager implements RecordManagerInterface { } async getTime(): Promise { - const res = await this.queryRunner.manager.query('SELECT EXTRACT(EPOCH FROM CURRENT_TIMESTAMP)') - return Number.parseFloat(res[0].extract) + const dataSource = await this.getDataSource() + try { + const queryRunner = dataSource.createQueryRunner() + const res = await queryRunner.manager.query('SELECT EXTRACT(EPOCH FROM CURRENT_TIMESTAMP)') + await queryRunner.release() + return Number.parseFloat(res[0].extract) + } catch (error) { + console.error('Error getting time in PostgresRecordManager:') + throw error + } finally { + await dataSource.destroy() + } } /** @@ -239,6 +280,10 @@ class PostgresRecordManager implements RecordManagerInterface { return } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + const updatedAt = await this.getTime() const { timeAtLeast, groupIds: _groupIds } = updateOptions ?? {} @@ -256,8 +301,16 @@ class PostgresRecordManager implements RecordManagerInterface { const valuesPlaceholders = recordsToUpsert.map((_, j) => this.generatePlaceholderForRowAt(j, recordsToUpsert[0].length)).join(', ') - const query = `INSERT INTO "${this.tableName}" (key, namespace, updated_at, group_id) VALUES ${valuesPlaceholders} ON CONFLICT (key, namespace) DO UPDATE SET updated_at = EXCLUDED.updated_at;` - await this.queryRunner.manager.query(query, recordsToUpsert.flat()) + const query = `INSERT INTO "${tableName}" (key, namespace, updated_at, group_id) VALUES ${valuesPlaceholders} ON CONFLICT (key, namespace) DO UPDATE SET updated_at = EXCLUDED.updated_at;` + try { + await queryRunner.manager.query(query, recordsToUpsert.flat()) + await queryRunner.release() + } catch (error) { + console.error('Error updating in PostgresRecordManager:') + throw error + } finally { + await dataSource.destroy() + } } async exists(keys: string[]): Promise { @@ -265,19 +318,33 @@ class PostgresRecordManager implements RecordManagerInterface { return [] } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + const startIndex = 2 const arrayPlaceholders = keys.map((_, i) => `$${i + startIndex}`).join(', ') const query = ` - SELECT k, (key is not null) ex from unnest(ARRAY[${arrayPlaceholders}]) k left join "${this.tableName}" on k=key and namespace = $1; + SELECT k, (key is not null) ex from unnest(ARRAY[${arrayPlaceholders}]) k left join "${tableName}" on k=key and namespace = $1; ` - const res = await this.queryRunner.manager.query(query, [this.namespace, ...keys.flat()]) - return res.map((row: { ex: boolean }) => row.ex) + try { + const res = await queryRunner.manager.query(query, [this.namespace, ...keys.flat()]) + await queryRunner.release() + return res.map((row: { ex: boolean }) => row.ex) + } catch (error) { + console.error('Error checking existence of keys in PostgresRecordManager:') + throw error + } finally { + await dataSource.destroy() + } } async listKeys(options?: ListKeyOptions): Promise { const { before, after, limit, groupIds } = options ?? {} - let query = `SELECT key FROM "${this.tableName}" WHERE namespace = $1` + const tableName = this.sanitizeTableName(this.tableName) + + let query = `SELECT key FROM "${tableName}" WHERE namespace = $1` const values: (string | number | (string | null)[])[] = [this.namespace] let index = 2 @@ -306,8 +373,20 @@ class PostgresRecordManager implements RecordManagerInterface { } query += ';' - const res = await this.queryRunner.manager.query(query, values) - return res.map((row: { key: string }) => row.key) + + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + + try { + const res = await queryRunner.manager.query(query, values) + await queryRunner.release() + return res.map((row: { key: string }) => row.key) + } catch (error) { + console.error('Error listing keys in PostgresRecordManager:') + throw error + } finally { + await dataSource.destroy() + } } async deleteKeys(keys: string[]): Promise { @@ -315,16 +394,20 @@ class PostgresRecordManager implements RecordManagerInterface { return } - const query = `DELETE FROM "${this.tableName}" WHERE namespace = $1 AND key = ANY($2);` - await this.queryRunner.manager.query(query, [this.namespace, keys]) - } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) - /** - * Terminates the connection pool. - * @returns {Promise} - */ - async end(): Promise { - if (this.datasource && this.datasource.isInitialized) await this.datasource.destroy() + try { + const query = `DELETE FROM "${tableName}" WHERE namespace = $1 AND key = ANY($2);` + await queryRunner.manager.query(query, [this.namespace, keys]) + await queryRunner.release() + } catch (error) { + console.error('Error deleting keys') + throw error + } finally { + await dataSource.destroy() + } } } diff --git a/packages/components/nodes/recordmanager/PostgresRecordManager/README.md b/packages/components/nodes/recordmanager/PostgresRecordManager/README.md new file mode 100644 index 00000000000..4c2c592f79d --- /dev/null +++ b/packages/components/nodes/recordmanager/PostgresRecordManager/README.md @@ -0,0 +1,18 @@ +# Postgres Record Manager + +Postgres Record Manager integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| --------------------------------- | ----------------------------------------------- | ------ | ----------------- | +| POSTGRES_RECORDMANAGER_HOST | Default `host` for Postgres Record Manager | String | | +| POSTGRES_RECORDMANAGER_PORT | Default `port` for Postgres Record Manager | Number | 5432 | +| POSTGRES_RECORDMANAGER_USER | Default `user` for Postgres Record Manager | String | | +| POSTGRES_RECORDMANAGER_PASSWORD | Default `password` for Postgres Record Manager | String | | +| POSTGRES_RECORDMANAGER_DATABASE | Default `database` for Postgres Record Manager | String | | +| POSTGRES_RECORDMANAGER_TABLE_NAME | Default `tableName` for Postgres Record Manager | String | upsertion_records | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/recordmanager/PostgresRecordManager/utils.ts b/packages/components/nodes/recordmanager/PostgresRecordManager/utils.ts new file mode 100644 index 00000000000..f9a8d9ae06e --- /dev/null +++ b/packages/components/nodes/recordmanager/PostgresRecordManager/utils.ts @@ -0,0 +1,17 @@ +import { defaultChain, INodeData } from '../../../src' + +export function getHost(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.host, process.env.POSTGRES_RECORDMANAGER_HOST) +} + +export function getDatabase(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.database, process.env.POSTGRES_RECORDMANAGER_DATABASE) +} + +export function getPort(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.port, process.env.POSTGRES_RECORDMANAGER_PORT, '5432') +} + +export function getTableName(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.tableName, process.env.POSTGRES_RECORDMANAGER_TABLE_NAME, 'upsertion_records') +} diff --git a/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts b/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts index daf4b73501c..c209f4956fc 100644 --- a/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts +++ b/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts @@ -1,7 +1,7 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses } from '../../../src/utils' +import { getBaseClasses, getUserHome } from '../../../src/utils' import { ListKeyOptions, RecordManagerInterface, UpdateOptions } from '@langchain/community/indexes/base' -import { DataSource, QueryRunner } from 'typeorm' +import { DataSource } from 'typeorm' import path from 'path' class SQLiteRecordManager_RecordManager implements INode { @@ -19,19 +19,19 @@ class SQLiteRecordManager_RecordManager implements INode { constructor() { this.label = 'SQLite Record Manager' this.name = 'SQLiteRecordManager' - this.version = 1.0 + this.version = 1.1 this.type = 'SQLite RecordManager' this.icon = 'sqlite.png' this.category = 'Record Manager' this.description = 'Use SQLite to keep track of document writes into the vector databases' this.baseClasses = [this.type, 'RecordManager', ...getBaseClasses(SQLiteRecordManager)] this.inputs = [ - { + /*{ label: 'Database File Path', name: 'databaseFilePath', type: 'string', placeholder: 'C:\\Users\\User\\.flowise\\database.sqlite' - }, + },*/ { label: 'Additional Connection Configuration', name: 'additionalConfig', @@ -106,7 +106,6 @@ class SQLiteRecordManager_RecordManager implements INode { const cleanup = nodeData.inputs?.cleanup as string const _sourceIdKey = nodeData.inputs?.sourceIdKey as string const sourceIdKey = _sourceIdKey ? _sourceIdKey : 'source' - const databaseFilePath = nodeData.inputs?.databaseFilePath as string let additionalConfiguration = {} if (additionalConfig) { @@ -117,10 +116,12 @@ class SQLiteRecordManager_RecordManager implements INode { } } + const database = path.join(process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise'), 'database.sqlite') + const sqliteOptions = { + database, ...additionalConfiguration, - type: 'sqlite', - database: path.resolve(databaseFilePath) + type: 'sqlite' } const args = { @@ -144,30 +145,47 @@ type SQLiteRecordManagerOptions = { class SQLiteRecordManager implements RecordManagerInterface { lc_namespace = ['langchain', 'recordmanagers', 'sqlite'] - - datasource: DataSource - - queryRunner: QueryRunner - tableName: string - namespace: string + config: SQLiteRecordManagerOptions constructor(namespace: string, config: SQLiteRecordManagerOptions) { - const { sqliteOptions, tableName } = config + const { tableName } = config this.namespace = namespace this.tableName = tableName || 'upsertion_records' - this.datasource = new DataSource(sqliteOptions) + this.config = config + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + private async getDataSource(): Promise { + const { sqliteOptions } = this.config + if (!sqliteOptions) { + throw new Error('No datasource options provided') + } + const dataSource = new DataSource(sqliteOptions) + await dataSource.initialize() + return dataSource } async createSchema(): Promise { try { - const appDataSource = await this.datasource.initialize() - - this.queryRunner = appDataSource.createQueryRunner() + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) - await this.queryRunner.manager.query(` -CREATE TABLE IF NOT EXISTS "${this.tableName}" ( + await queryRunner.manager.query(` +CREATE TABLE IF NOT EXISTS "${tableName}" ( uuid TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))), key TEXT NOT NULL, namespace TEXT NOT NULL, @@ -175,10 +193,12 @@ CREATE TABLE IF NOT EXISTS "${this.tableName}" ( group_id TEXT, UNIQUE (key, namespace) ); -CREATE INDEX IF NOT EXISTS updated_at_index ON "${this.tableName}" (updated_at); -CREATE INDEX IF NOT EXISTS key_index ON "${this.tableName}" (key); -CREATE INDEX IF NOT EXISTS namespace_index ON "${this.tableName}" (namespace); -CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) +CREATE INDEX IF NOT EXISTS updated_at_index ON "${tableName}" (updated_at); +CREATE INDEX IF NOT EXISTS key_index ON "${tableName}" (key); +CREATE INDEX IF NOT EXISTS namespace_index ON "${tableName}" (namespace); +CREATE INDEX IF NOT EXISTS group_id_index ON "${tableName}" (group_id);`) + + await queryRunner.release() } catch (e: any) { // This error indicates that the table already exists // Due to asynchronous nature of the code, it is possible that @@ -192,12 +212,17 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) } async getTime(): Promise { + const dataSource = await this.getDataSource() try { - const res = await this.queryRunner.manager.query(`SELECT strftime('%s', 'now') AS epoch`) + const queryRunner = dataSource.createQueryRunner() + const res = await queryRunner.manager.query(`SELECT strftime('%s', 'now') AS epoch`) + await queryRunner.release() return Number.parseFloat(res[0].epoch) } catch (error) { console.error('Error getting time in SQLiteRecordManager:') throw error + } finally { + await dataSource.destroy() } } @@ -205,6 +230,9 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) if (keys.length === 0) { return } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) const updatedAt = await this.getTime() const { timeAtLeast, groupIds: _groupIds } = updateOptions ?? {} @@ -227,14 +255,22 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) ]) const query = ` - INSERT INTO "${this.tableName}" (key, namespace, updated_at, group_id) + INSERT INTO "${tableName}" (key, namespace, updated_at, group_id) VALUES (?, ?, ?, ?) ON CONFLICT (key, namespace) DO UPDATE SET updated_at = excluded.updated_at` - // To handle multiple files upsert - for (const record of recordsToUpsert) { - // Consider using a transaction for batch operations - await this.queryRunner.manager.query(query, record.flat()) + try { + // To handle multiple files upsert + for (const record of recordsToUpsert) { + // Consider using a transaction for batch operations + await queryRunner.manager.query(query, record.flat()) + } + await queryRunner.release() + } catch (error) { + console.error('Error updating in SQLiteRecordManager:') + throw error + } finally { + await dataSource.destroy() } } @@ -242,36 +278,45 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) if (keys.length === 0) { return [] } + const tableName = this.sanitizeTableName(this.tableName) // Prepare the placeholders and the query const placeholders = keys.map(() => `?`).join(', ') const sql = ` SELECT key - FROM "${this.tableName}" + FROM "${tableName}" WHERE namespace = ? AND key IN (${placeholders})` // Initialize an array to fill with the existence checks const existsArray = new Array(keys.length).fill(false) + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + try { // Execute the query - const rows = await this.queryRunner.manager.query(sql, [this.namespace, ...keys.flat()]) + const rows = await queryRunner.manager.query(sql, [this.namespace, ...keys.flat()]) // Create a set of existing keys for faster lookup const existingKeysSet = new Set(rows.map((row: { key: string }) => row.key)) // Map the input keys to booleans indicating if they exist keys.forEach((key, index) => { existsArray[index] = existingKeysSet.has(key) }) + await queryRunner.release() return existsArray } catch (error) { console.error('Error checking existence of keys') throw error // Allow the caller to handle the error + } finally { + await dataSource.destroy() } } async listKeys(options?: ListKeyOptions): Promise { const { before, after, limit, groupIds } = options ?? {} - let query = `SELECT key FROM "${this.tableName}" WHERE namespace = ?` + const tableName = this.sanitizeTableName(this.tableName) + + let query = `SELECT key FROM "${tableName}" WHERE namespace = ?` const values: (string | number | string[])[] = [this.namespace] if (before) { @@ -299,13 +344,19 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) query += ';' + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + // Directly using try/catch with async/await for cleaner flow try { - const result = await this.queryRunner.manager.query(query, values) + const result = await queryRunner.manager.query(query, values) + await queryRunner.release() return result.map((row: { key: string }) => row.key) } catch (error) { console.error('Error listing keys.') throw error // Re-throw the error to be handled by the caller + } finally { + await dataSource.destroy() } } @@ -314,16 +365,23 @@ CREATE INDEX IF NOT EXISTS group_id_index ON "${this.tableName}" (group_id);`) return } + const dataSource = await this.getDataSource() + const queryRunner = dataSource.createQueryRunner() + const tableName = this.sanitizeTableName(this.tableName) + const placeholders = keys.map(() => '?').join(', ') - const query = `DELETE FROM "${this.tableName}" WHERE namespace = ? AND key IN (${placeholders});` + const query = `DELETE FROM "${tableName}" WHERE namespace = ? AND key IN (${placeholders});` const values = [this.namespace, ...keys].map((v) => (typeof v !== 'string' ? `${v}` : v)) // Directly using try/catch with async/await for cleaner flow try { - await this.queryRunner.manager.query(query, values) + await queryRunner.manager.query(query, values) + await queryRunner.release() } catch (error) { console.error('Error deleting keys') throw error // Re-throw the error to be handled by the caller + } finally { + await dataSource.destroy() } } } diff --git a/packages/components/nodes/retrievers/AWSBedrockKBRetriever/AWSBedrockKBRetriever.ts b/packages/components/nodes/retrievers/AWSBedrockKBRetriever/AWSBedrockKBRetriever.ts index 70dc664aa7f..0471de73351 100644 --- a/packages/components/nodes/retrievers/AWSBedrockKBRetriever/AWSBedrockKBRetriever.ts +++ b/packages/components/nodes/retrievers/AWSBedrockKBRetriever/AWSBedrockKBRetriever.ts @@ -15,7 +15,6 @@ class AWSBedrockKBRetriever_Retrievers implements INode { baseClasses: string[] credential: INodeParams inputs: INodeParams[] - badge: string constructor() { this.label = 'AWS Bedrock Knowledge Base Retriever' @@ -24,7 +23,6 @@ class AWSBedrockKBRetriever_Retrievers implements INode { this.type = 'AWSBedrockKBRetriever' this.icon = 'AWSBedrockKBRetriever.svg' this.category = 'Retrievers' - this.badge = 'NEW' this.description = 'Connect to AWS Bedrock Knowledge Base API and retrieve relevant chunks' this.baseClasses = [this.type, 'BaseRetriever'] this.credential = { diff --git a/packages/components/nodes/retrievers/CohereRerankRetriever/CohereRerankRetriever.ts b/packages/components/nodes/retrievers/CohereRerankRetriever/CohereRerankRetriever.ts index 6d11165a271..b4f8f867201 100644 --- a/packages/components/nodes/retrievers/CohereRerankRetriever/CohereRerankRetriever.ts +++ b/packages/components/nodes/retrievers/CohereRerankRetriever/CohereRerankRetriever.ts @@ -46,15 +46,19 @@ class CohereRerankRetriever_Retrievers implements INode { type: 'options', options: [ { - label: 'rerank-english-v2.0', - name: 'rerank-english-v2.0' + label: 'rerank-v3.5', + name: 'rerank-v3.5' }, { - label: 'rerank-multilingual-v2.0', - name: 'rerank-multilingual-v2.0' + label: 'rerank-english-v3.0', + name: 'rerank-english-v3.0' + }, + { + label: 'rerank-multilingual-v3.0', + name: 'rerank-multilingual-v3.0' } ], - default: 'rerank-english-v2.0', + default: 'rerank-v3.5', optional: true }, { diff --git a/packages/components/nodes/retrievers/CustomRetriever/CustomRetriever.ts b/packages/components/nodes/retrievers/CustomRetriever/CustomRetriever.ts new file mode 100644 index 00000000000..3a459b51d36 --- /dev/null +++ b/packages/components/nodes/retrievers/CustomRetriever/CustomRetriever.ts @@ -0,0 +1,159 @@ +import { get } from 'lodash' +import { Document } from '@langchain/core/documents' +import { VectorStore, VectorStoreRetriever, VectorStoreRetrieverInput } from '@langchain/core/vectorstores' +import { INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' +import { handleEscapeCharacters } from '../../../src' + +const defaultReturnFormat = '{{context}}\nSource: {{metadata.source}}' + +class CustomRetriever_Retrievers implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'Custom Retriever' + this.name = 'customRetriever' + this.version = 1.0 + this.type = 'CustomRetriever' + this.icon = 'customRetriever.svg' + this.category = 'Retrievers' + this.description = 'Return results based on predefined format' + this.baseClasses = [this.type, 'BaseRetriever'] + this.inputs = [ + { + label: 'Vector Store', + name: 'vectorStore', + type: 'VectorStore' + }, + { + label: 'Query', + name: 'query', + type: 'string', + description: 'Query to retrieve documents from retriever. If not specified, user question will be used', + optional: true, + acceptVariable: true + }, + { + label: 'Result Format', + name: 'resultFormat', + type: 'string', + rows: 4, + description: + 'Format to return the results in. Use {{context}} to insert the pageContent of the document and {{metadata.key}} to insert metadata values.', + default: defaultReturnFormat + }, + { + label: 'Top K', + name: 'topK', + description: 'Number of top results to fetch. Default to vector store topK', + placeholder: '4', + type: 'number', + additionalParams: true, + optional: true + } + ] + this.outputs = [ + { + label: 'Custom Retriever', + name: 'retriever', + baseClasses: this.baseClasses + }, + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: ['Document', 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, input: string): Promise { + const vectorStore = nodeData.inputs?.vectorStore as VectorStore + const query = nodeData.inputs?.query as string + const topK = nodeData.inputs?.topK as string + const resultFormat = nodeData.inputs?.resultFormat as string + + const output = nodeData.outputs?.output as string + + const retriever = CustomRetriever.fromVectorStore(vectorStore, { + resultFormat, + topK: topK ? parseInt(topK, 10) : (vectorStore as any)?.k ?? 4 + }) + + if (output === 'retriever') return retriever + else if (output === 'document') return await retriever.getRelevantDocuments(query ? query : input) + else if (output === 'text') { + let finaltext = '' + + const docs = await retriever.getRelevantDocuments(query ? query : input) + + for (const doc of docs) finaltext += `${doc.pageContent}\n` + + return handleEscapeCharacters(finaltext, false) + } + + return retriever + } +} + +type RetrieverInput = Omit, 'k'> & { + topK?: number + resultFormat?: string +} + +class CustomRetriever extends VectorStoreRetriever { + resultFormat: string + topK = 4 + + constructor(input: RetrieverInput) { + super(input) + this.topK = input.topK ?? this.topK + this.resultFormat = input.resultFormat ?? this.resultFormat + } + + async getRelevantDocuments(query: string): Promise { + const results = await this.vectorStore.similaritySearchWithScore(query, this.topK, this.filter) + + const finalDocs: Document[] = [] + for (const result of results) { + let res = this.resultFormat.replace(/{{context}}/g, result[0].pageContent) + res = replaceMetadata(res, result[0].metadata) + finalDocs.push( + new Document({ + pageContent: res, + metadata: result[0].metadata + }) + ) + } + return finalDocs + } + + static fromVectorStore(vectorStore: V, options: Omit, 'vectorStore'>) { + return new this({ ...options, vectorStore }) + } +} + +function replaceMetadata(template: string, metadata: Record): string { + const metadataRegex = /{{metadata\.([\w.]+)}}/g + + return template.replace(metadataRegex, (match, path) => { + const value = get(metadata, path) + return value !== undefined ? String(value) : match + }) +} + +module.exports = { nodeClass: CustomRetriever_Retrievers } diff --git a/packages/components/nodes/retrievers/CustomRetriever/customRetriever.svg b/packages/components/nodes/retrievers/CustomRetriever/customRetriever.svg new file mode 100644 index 00000000000..aa0e9c3eb48 --- /dev/null +++ b/packages/components/nodes/retrievers/CustomRetriever/customRetriever.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/retrievers/ExtractMetadataRetriever/ExtractMetadataRetriever.ts b/packages/components/nodes/retrievers/ExtractMetadataRetriever/ExtractMetadataRetriever.ts new file mode 100644 index 00000000000..48168445477 --- /dev/null +++ b/packages/components/nodes/retrievers/ExtractMetadataRetriever/ExtractMetadataRetriever.ts @@ -0,0 +1,217 @@ +import { Document } from '@langchain/core/documents' +import { VectorStore, VectorStoreRetriever, VectorStoreRetrieverInput } from '@langchain/core/vectorstores' +import { INode, INodeData, INodeParams, INodeOutputsValue } from '../../../src/Interface' +import { handleEscapeCharacters } from '../../../src' +import { z } from 'zod' +import { convertStructuredSchemaToZod, ExtractTool } from '../../sequentialagents/commonUtils' +import { ChatGoogleGenerativeAI } from '@langchain/google-genai' + +const queryPrefix = 'query' +const defaultPrompt = `Extract keywords from the query: {{${queryPrefix}}}` + +class ExtractMetadataRetriever_Retrievers implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + badge?: string + baseClasses: string[] + inputs: INodeParams[] + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'Extract Metadata Retriever' + this.name = 'extractMetadataRetriever' + this.version = 1.0 + this.type = 'ExtractMetadataRetriever' + this.icon = 'dynamicMetadataRetriever.svg' + this.category = 'Retrievers' + this.description = 'Extract keywords/metadata from the query and use it to filter documents' + this.baseClasses = [this.type, 'BaseRetriever'] + this.badge = 'BETA' + this.inputs = [ + { + label: 'Vector Store', + name: 'vectorStore', + type: 'VectorStore' + }, + { + label: 'Chat Model', + name: 'model', + type: 'BaseChatModel' + }, + { + label: 'Query', + name: 'query', + type: 'string', + description: 'Query to retrieve documents from retriever. If not specified, user question will be used', + optional: true, + acceptVariable: true + }, + { + label: 'Prompt', + name: 'dynamicMetadataFilterRetrieverPrompt', + type: 'string', + description: 'Prompt to extract metadata from query', + rows: 4, + additionalParams: true, + default: defaultPrompt + }, + { + label: 'JSON Structured Output', + name: 'dynamicMetadataFilterRetrieverStructuredOutput', + type: 'datagrid', + description: + 'Instruct the model to give output in a JSON structured schema. This output will be used as the metadata filter for connected vector store', + datagrid: [ + { field: 'key', headerName: 'Key', editable: true }, + { + field: 'type', + headerName: 'Type', + type: 'singleSelect', + valueOptions: ['String', 'String Array', 'Number', 'Boolean', 'Enum'], + editable: true + }, + { field: 'enumValues', headerName: 'Enum Values', editable: true }, + { field: 'description', headerName: 'Description', flex: 1, editable: true } + ], + optional: true, + additionalParams: true + }, + { + label: 'Top K', + name: 'topK', + description: 'Number of top results to fetch. Default to vector store topK', + placeholder: '4', + type: 'number', + additionalParams: true, + optional: true + } + ] + this.outputs = [ + { + label: 'Extract Metadata Retriever', + name: 'retriever', + baseClasses: this.baseClasses + }, + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: ['Document', 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, input: string): Promise { + const vectorStore = nodeData.inputs?.vectorStore as VectorStore + let llm = nodeData.inputs?.model + const llmStructuredOutput = nodeData.inputs?.dynamicMetadataFilterRetrieverStructuredOutput + const topK = nodeData.inputs?.topK as string + const dynamicMetadataFilterRetrieverPrompt = nodeData.inputs?.dynamicMetadataFilterRetrieverPrompt as string + const query = nodeData.inputs?.query as string + const finalInputQuery = query ? query : input + + const output = nodeData.outputs?.output as string + + if (llmStructuredOutput && llmStructuredOutput !== '[]') { + try { + const structuredOutput = z.object(convertStructuredSchemaToZod(llmStructuredOutput)) + + if (llm instanceof ChatGoogleGenerativeAI) { + const tool = new ExtractTool({ + schema: structuredOutput + }) + // @ts-ignore + const modelWithTool = llm.bind({ + tools: [tool] + }) as any + llm = modelWithTool + } else { + // @ts-ignore + llm = llm.withStructuredOutput(structuredOutput) + } + } catch (exception) { + console.error(exception) + } + } + + const retriever = DynamicMetadataRetriever.fromVectorStore(vectorStore, { + structuredLLM: llm, + prompt: dynamicMetadataFilterRetrieverPrompt, + topK: topK ? parseInt(topK, 10) : (vectorStore as any)?.k ?? 4 + }) + retriever.filter = vectorStore?.lc_kwargs?.filter ?? (vectorStore as any).filter + + if (output === 'retriever') return retriever + else if (output === 'document') return await retriever.getRelevantDocuments(finalInputQuery) + else if (output === 'text') { + let finaltext = '' + + const docs = await retriever.getRelevantDocuments(finalInputQuery) + + for (const doc of docs) finaltext += `${doc.pageContent}\n` + + return handleEscapeCharacters(finaltext, false) + } + + return retriever + } +} + +type RetrieverInput = Omit, 'k'> & { + topK?: number + structuredLLM: any + prompt: string +} + +class DynamicMetadataRetriever extends VectorStoreRetriever { + topK = 4 + structuredLLM: any + prompt = '' + + constructor(input: RetrieverInput) { + super(input) + this.topK = input.topK ?? this.topK + this.structuredLLM = input.structuredLLM ?? this.structuredLLM + this.prompt = input.prompt ?? this.prompt + } + + async getFilter(query: string): Promise { + const structuredResponse = await this.structuredLLM.invoke(this.prompt.replace(`{{${queryPrefix}}}`, query)) + return structuredResponse + } + + async getRelevantDocuments(query: string): Promise { + const newFilter = await this.getFilter(query) + // @ts-ignore + this.filter = { ...this.filter, ...newFilter } + const results = await this.vectorStore.similaritySearchWithScore(query, this.topK, this.filter) + + const finalDocs: Document[] = [] + for (const result of results) { + finalDocs.push( + new Document({ + pageContent: result[0].pageContent, + metadata: result[0].metadata + }) + ) + } + return finalDocs + } + + static fromVectorStore(vectorStore: V, options: Omit, 'vectorStore'>) { + return new this({ ...options, vectorStore }) + } +} + +module.exports = { nodeClass: ExtractMetadataRetriever_Retrievers } diff --git a/packages/components/nodes/retrievers/ExtractMetadataRetriever/dynamicMetadataRetriever.svg b/packages/components/nodes/retrievers/ExtractMetadataRetriever/dynamicMetadataRetriever.svg new file mode 100644 index 00000000000..78f0e76c8d3 --- /dev/null +++ b/packages/components/nodes/retrievers/ExtractMetadataRetriever/dynamicMetadataRetriever.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts b/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts index 0a4d6988128..580d4ba4c0b 100644 --- a/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts +++ b/packages/components/nodes/retrievers/HydeRetriever/HydeRetriever.ts @@ -172,6 +172,7 @@ Passage:` else if (promptKey) obj.promptTemplate = promptKey const retriever = new HydeRetriever(obj) + retriever.filter = vectorStore?.lc_kwargs?.filter ?? (vectorStore as any).filter if (output === 'retriever') return retriever else if (output === 'document') return await retriever.getRelevantDocuments(query ? query : input) diff --git a/packages/components/nodes/retrievers/JinaRerankRetriever/JinaAI.svg b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaAI.svg new file mode 100644 index 00000000000..95b99d8b5e5 --- /dev/null +++ b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaAI.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerank.ts b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerank.ts new file mode 100644 index 00000000000..f55ea53abe4 --- /dev/null +++ b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerank.ts @@ -0,0 +1,51 @@ +import { Callbacks } from '@langchain/core/callbacks/manager' +import { Document } from '@langchain/core/documents' +import axios from 'axios' +import { BaseDocumentCompressor } from 'langchain/retrievers/document_compressors' + +export class JinaRerank extends BaseDocumentCompressor { + private jinaAPIKey: string + private readonly JINA_RERANK_API_URL = 'https://api.jina.ai/v1/rerank' + private model: string = 'jina-reranker-v2-base-multilingual' + private readonly topN: number + + constructor(jinaAPIKey: string, model: string, topN: number) { + super() + this.jinaAPIKey = jinaAPIKey + this.model = model + this.topN = topN + } + async compressDocuments( + documents: Document>[], + query: string, + _?: Callbacks | undefined + ): Promise>[]> { + if (documents.length === 0) { + return [] + } + const config = { + headers: { + Authorization: `Bearer ${this.jinaAPIKey}`, + 'Content-Type': 'application/json' + } + } + const data = { + model: this.model, + query: query, + documents: documents.map((doc) => doc.pageContent), + top_n: this.topN + } + try { + let returnedDocs = await axios.post(this.JINA_RERANK_API_URL, data, config) + const finalResults: Document>[] = [] + returnedDocs.data.results.forEach((result: any) => { + const doc = documents[result.index] + doc.metadata.relevance_score = result.relevance_score + finalResults.push(doc) + }) + return finalResults + } catch (error) { + return documents + } + } +} diff --git a/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerankRetriever.ts b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerankRetriever.ts new file mode 100644 index 00000000000..3160f3f7a30 --- /dev/null +++ b/packages/components/nodes/retrievers/JinaRerankRetriever/JinaRerankRetriever.ts @@ -0,0 +1,129 @@ +import { BaseRetriever } from '@langchain/core/retrievers' +import { ContextualCompressionRetriever } from 'langchain/retrievers/contextual_compression' +import { getCredentialData, getCredentialParam, handleEscapeCharacters } from '../../../src' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { JinaRerank } from './JinaRerank' + +class JinaRerankRetriever_Retrievers implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + badge: string + outputs: INodeOutputsValue[] + + constructor() { + this.label = 'Jina AI Rerank Retriever' + this.name = 'JinaRerankRetriever' + this.version = 1.0 + this.type = 'JinaRerankRetriever' + this.icon = 'JinaAI.svg' + this.category = 'Retrievers' + this.description = 'Jina AI Rerank indexes the documents from most to least semantically relevant to the query.' + this.baseClasses = [this.type, 'BaseRetriever'] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['jinaAIApi'] + } + this.inputs = [ + { + label: 'Vector Store Retriever', + name: 'baseRetriever', + type: 'VectorStoreRetriever' + }, + { + label: 'Model Name', + name: 'model', + type: 'options', + options: [ + { + label: 'jina-reranker-v2-base-multilingual', + name: 'jina-reranker-v2-base-multilingual' + }, + { + label: 'jina-colbert-v2', + name: 'jina-colbert-v2' + } + ], + default: 'jina-reranker-v2-base-multilingual', + optional: true + }, + { + label: 'Query', + name: 'query', + type: 'string', + description: 'Query to retrieve documents from retriever. If not specified, user question will be used', + optional: true, + acceptVariable: true + }, + { + label: 'Top N', + name: 'topN', + description: 'Number of top results to fetch. Default to 4', + placeholder: '4', + default: 4, + type: 'number', + additionalParams: true, + optional: true + } + ] + this.outputs = [ + { + label: 'Jina AI Rerank Retriever', + name: 'retriever', + baseClasses: this.baseClasses + }, + { + label: 'Document', + name: 'document', + description: 'Array of document objects containing metadata and pageContent', + baseClasses: ['Document', 'json'] + }, + { + label: 'Text', + name: 'text', + description: 'Concatenated string from pageContent of documents', + baseClasses: ['string', 'json'] + } + ] + } + + async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const baseRetriever = nodeData.inputs?.baseRetriever as BaseRetriever + const model = nodeData.inputs?.model as string + const query = nodeData.inputs?.query as string + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const jinaApiKey = getCredentialParam('jinaAIAPIKey', credentialData, nodeData) + const topN = nodeData.inputs?.topN ? parseFloat(nodeData.inputs?.topN as string) : 4 + const output = nodeData.outputs?.output as string + + const jinaCompressor = new JinaRerank(jinaApiKey, model, topN) + + const retriever = new ContextualCompressionRetriever({ + baseCompressor: jinaCompressor, + baseRetriever: baseRetriever + }) + + if (output === 'retriever') return retriever + else if (output === 'document') return await retriever.invoke(query ? query : input) + else if (output === 'text') { + const docs = await retriever.invoke(query ? query : input) + let finaltext = '' + for (const doc of docs) finaltext += `${doc.pageContent}\n` + + return handleEscapeCharacters(finaltext, false) + } + + return retriever + } +} + +module.exports = { nodeClass: JinaRerankRetriever_Retrievers } diff --git a/packages/components/nodes/retrievers/MultiQueryRetriever/MultiQueryRetriever.ts b/packages/components/nodes/retrievers/MultiQueryRetriever/MultiQueryRetriever.ts index 3802f0da8ac..fd845a35c96 100644 --- a/packages/components/nodes/retrievers/MultiQueryRetriever/MultiQueryRetriever.ts +++ b/packages/components/nodes/retrievers/MultiQueryRetriever/MultiQueryRetriever.ts @@ -71,7 +71,7 @@ class MultiQueryRetriever_Retrievers implements INode { const retriever = MultiQueryRetriever.fromLLM({ llm: model, - retriever: vectorStore.asRetriever(), + retriever: vectorStore.asRetriever({ filter: vectorStore?.lc_kwargs?.filter ?? vectorStore?.filter }), verbose: process.env.DEBUG === 'true', // @ts-ignore prompt: PromptTemplate.fromTemplate(prompt) diff --git a/packages/components/nodes/retrievers/PromptRetriever/PromptRetriever.ts b/packages/components/nodes/retrievers/PromptRetriever/PromptRetriever.ts index 7ffaa64fafe..2966eee2391 100644 --- a/packages/components/nodes/retrievers/PromptRetriever/PromptRetriever.ts +++ b/packages/components/nodes/retrievers/PromptRetriever/PromptRetriever.ts @@ -1,3 +1,4 @@ +import { transformBracesWithColon } from '../../../src' import { INode, INodeData, INodeParams, PromptRetriever, PromptRetrieverInput } from '../../../src/Interface' class PromptRetriever_Retrievers implements INode { @@ -48,7 +49,8 @@ class PromptRetriever_Retrievers implements INode { async init(nodeData: INodeData): Promise { const name = nodeData.inputs?.name as string const description = nodeData.inputs?.description as string - const systemMessage = nodeData.inputs?.systemMessage as string + let systemMessage = nodeData.inputs?.systemMessage as string + systemMessage = transformBracesWithColon(systemMessage) const obj = { name, diff --git a/packages/components/nodes/retrievers/RRFRetriever/ReciprocalRankFusion.ts b/packages/components/nodes/retrievers/RRFRetriever/ReciprocalRankFusion.ts index 36141c5ca63..47ae2d00076 100644 --- a/packages/components/nodes/retrievers/RRFRetriever/ReciprocalRankFusion.ts +++ b/packages/components/nodes/retrievers/RRFRetriever/ReciprocalRankFusion.ts @@ -50,7 +50,7 @@ export class ReciprocalRankFusion extends BaseDocumentCompressor { }) const docList: Document>[][] = [] for (let i = 0; i < queries.length; i++) { - const resultOne = await this.baseRetriever.vectorStore.similaritySearch(queries[i], 5) + const resultOne = await this.baseRetriever.vectorStore.similaritySearch(queries[i], 5, this.baseRetriever.filter) const docs: any[] = [] resultOne.forEach((doc) => { docs.push(doc) diff --git a/packages/components/nodes/retrievers/SimilarityThresholdRetriever/SimilarityThresholdRetriever.ts b/packages/components/nodes/retrievers/SimilarityThresholdRetriever/SimilarityThresholdRetriever.ts index bdfb10d9769..94c2d021764 100644 --- a/packages/components/nodes/retrievers/SimilarityThresholdRetriever/SimilarityThresholdRetriever.ts +++ b/packages/components/nodes/retrievers/SimilarityThresholdRetriever/SimilarityThresholdRetriever.ts @@ -100,6 +100,7 @@ class SimilarityThresholdRetriever_Retrievers implements INode { maxK: maxK ? parseInt(maxK, 10) : 100, kIncrement: kIncrement ? parseInt(kIncrement, 10) : 2 }) + retriever.filter = vectorStore?.lc_kwargs?.filter ?? (vectorStore as any).filter if (output === 'retriever') return retriever else if (output === 'document') return await retriever.getRelevantDocuments(query ? query : input) diff --git a/packages/components/nodes/retrievers/VoyageAIRetriever/VoyageAIRerankRetriever.ts b/packages/components/nodes/retrievers/VoyageAIRetriever/VoyageAIRerankRetriever.ts index 8acf4dd6eea..53f02187fde 100644 --- a/packages/components/nodes/retrievers/VoyageAIRetriever/VoyageAIRerankRetriever.ts +++ b/packages/components/nodes/retrievers/VoyageAIRetriever/VoyageAIRerankRetriever.ts @@ -49,9 +49,17 @@ class VoyageAIRerankRetriever_Retrievers implements INode { label: 'rerank-lite-1', name: 'rerank-lite-1' }, + { + label: 'rerank-lite-2', + name: 'rerank-lite-2' + }, { label: 'rerank-1', name: 'rerank-1' + }, + { + label: 'rerank-2', + name: 'rerank-2' } ], default: 'rerank-lite-1', diff --git a/packages/components/nodes/sequentialagents/Agent/Agent.ts b/packages/components/nodes/sequentialagents/Agent/Agent.ts index 1116f6d38a5..ad626207429 100644 --- a/packages/components/nodes/sequentialagents/Agent/Agent.ts +++ b/packages/components/nodes/sequentialagents/Agent/Agent.ts @@ -18,18 +18,30 @@ import { ISeqAgentNode, IDatabaseEntity, IUsedTool, - IDocument + IDocument, + IStateWithMessages, + ConversationHistorySelection } from '../../../src/Interface' -import { ToolCallingAgentOutputParser, AgentExecutor, SOURCE_DOCUMENTS_PREFIX } from '../../../src/agents' -import { getInputVariables, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { ToolCallingAgentOutputParser, AgentExecutor, SOURCE_DOCUMENTS_PREFIX, ARTIFACTS_PREFIX } from '../../../src/agents' +import { + extractOutputFromArray, + getInputVariables, + getVars, + handleEscapeCharacters, + prepareSandboxVars, + removeInvalidImageMarkdown, + transformBracesWithColon +} from '../../../src/utils' import { customGet, getVM, processImageMessage, transformObjectPropertyToFunction, + filterConversationHistory, restructureMessages, MessagesState, - RunnableCallable + RunnableCallable, + checkMessageHistory } from '../commonUtils' import { END, StateGraph } from '@langchain/langgraph' import { StructuredTool } from '@langchain/core/tools' @@ -66,9 +78,9 @@ const howToUseCode = ` "sourceDocuments": [ { "pageContent": "This is the page content", - "metadata": "{foo: var}", + "metadata": "{foo: var}" } - ], + ] } \`\`\` @@ -100,10 +112,10 @@ const howToUse = ` |-----------|-----------| | user | john doe | -2. If you want to use the agent's output as the value to update state, it is available as available as \`$flow.output\` with the following structure: +2. If you want to use the Agent's output as the value to update state, it is available as available as \`$flow.output\` with the following structure: \`\`\`json { - "output": "Hello! How can I assist you today?", + "content": "Hello! How can I assist you today?", "usedTools": [ { "tool": "tool-name", @@ -114,9 +126,9 @@ const howToUse = ` "sourceDocuments": [ { "pageContent": "This is the page content", - "metadata": "{foo: var}", + "metadata": "{foo: var}" } - ], + ] } \`\`\` @@ -149,6 +161,31 @@ const defaultFunc = `const result = $flow.output; return { aggregate: [result.content] };` + +const messageHistoryExample = `const { AIMessage, HumanMessage, ToolMessage } = require('@langchain/core/messages'); + +return [ + new HumanMessage("What is 333382 🦜 1932?"), + new AIMessage({ + content: "", + tool_calls: [ + { + id: "12345", + name: "calulator", + args: { + number1: 333382, + number2: 1932, + operation: "divide", + }, + }, + ], + }), + new ToolMessage({ + tool_call_id: "12345", + content: "The answer is 172.558.", + }), + new AIMessage("The answer is 172.558."), +]` const TAB_IDENTIFIER = 'selectedUpdateStateMemoryTab' class Agent_SeqAgents implements INode { @@ -168,7 +205,7 @@ class Agent_SeqAgents implements INode { constructor() { this.label = 'Agent' this.name = 'seqAgent' - this.version = 2.0 + this.version = 4.1 this.type = 'Agent' this.icon = 'seqAgent.png' this.category = 'Sequential Agents' @@ -190,6 +227,53 @@ class Agent_SeqAgents implements INode { optional: true, default: examplePrompt }, + { + label: 'Prepend Messages History', + name: 'messageHistory', + description: + 'Prepend a list of messages between System Prompt and Human Prompt. This is useful when you want to provide few shot examples', + type: 'code', + hideCodeExecute: true, + codeExample: messageHistoryExample, + optional: true, + additionalParams: true + }, + { + label: 'Conversation History', + name: 'conversationHistorySelection', + type: 'options', + options: [ + { + label: 'User Question', + name: 'user_question', + description: 'Use the user question from the historical conversation messages as input.' + }, + { + label: 'Last Conversation Message', + name: 'last_message', + description: 'Use the last conversation message from the historical conversation messages as input.' + }, + { + label: 'All Conversation Messages', + name: 'all_messages', + description: 'Use all conversation messages from the historical conversation messages as input.' + }, + { + label: 'Empty', + name: 'empty', + description: + 'Do not use any messages from the conversation history. ' + + 'Ensure to use either System Prompt, Human Prompt, or Messages History.' + } + ], + default: 'all_messages', + optional: true, + description: + 'Select which messages from the conversation history to include in the prompt. ' + + 'The selected messages will be inserted between the System Prompt (if defined) and ' + + '[Messages History, Human Prompt].', + additionalParams: true + }, { label: 'Human Prompt', name: 'humanMessagePrompt', @@ -207,9 +291,11 @@ class Agent_SeqAgents implements INode { optional: true }, { - label: 'Start | Agent | Condition | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Start | Agent | Condition | LLMNode | ToolNode', + type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow', list: true }, { @@ -222,7 +308,12 @@ class Agent_SeqAgents implements INode { { label: 'Require Approval', name: 'interrupt', - description: 'Require approval before executing tools. Will proceed when tools are not called', + description: + 'Pause execution and request user approval before running tools.\n' + + 'If enabled, the agent will prompt the user with customizable approve/reject options\n' + + 'and will proceed only after approval. This requires a configured agent memory to manage\n' + + 'the state and handle approval requests.\n' + + 'If no tools are invoked, the agent proceeds without interruption.', type: 'boolean', optional: true }, @@ -368,7 +459,9 @@ class Agent_SeqAgents implements INode { let tools = nodeData.inputs?.tools tools = flatten(tools) let agentSystemPrompt = nodeData.inputs?.systemMessagePrompt as string + agentSystemPrompt = transformBracesWithColon(agentSystemPrompt) let agentHumanPrompt = nodeData.inputs?.humanMessagePrompt as string + agentHumanPrompt = transformBracesWithColon(agentHumanPrompt) const agentLabel = nodeData.inputs?.agentName as string const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] const maxIterations = nodeData.inputs?.maxIterations as string @@ -426,6 +519,8 @@ class Agent_SeqAgents implements INode { llm, interrupt, agent: await createAgent( + nodeData, + options, agentName, state, llm, @@ -515,6 +610,8 @@ class Agent_SeqAgents implements INode { } async function createAgent( + nodeData: INodeData, + options: ICommonObject, agentName: string, state: ISeqAgentsState, llm: BaseChatModel, @@ -535,7 +632,8 @@ async function createAgent( if (systemPrompt) promptArrays.unshift(['system', systemPrompt]) if (humanPrompt) promptArrays.push(['human', humanPrompt]) - const prompt = ChatPromptTemplate.fromMessages(promptArrays) + let prompt = ChatPromptTemplate.fromMessages(promptArrays) + prompt = await checkMessageHistory(nodeData, options, prompt, promptArrays, systemPrompt) if (multiModalMessageContent.length) { const msg = HumanMessagePromptTemplate.fromTemplate([...multiModalMessageContent]) @@ -582,7 +680,7 @@ async function createAgent( sessionId: flowObj?.sessionId, chatId: flowObj?.chatId, input: flowObj?.input, - verbose: process.env.DEBUG === 'true' ? true : false, + verbose: process.env.DEBUG === 'true', maxIterations: maxIterations ? parseFloat(maxIterations) : undefined }) return executor @@ -597,7 +695,9 @@ async function createAgent( if (systemPrompt) promptArrays.unshift(['system', systemPrompt]) if (humanPrompt) promptArrays.push(['human', humanPrompt]) - const prompt = ChatPromptTemplate.fromMessages(promptArrays) + let prompt = ChatPromptTemplate.fromMessages(promptArrays) + prompt = await checkMessageHistory(nodeData, options, prompt, promptArrays, systemPrompt) + if (multiModalMessageContent.length) { const msg = HumanMessagePromptTemplate.fromTemplate([...multiModalMessageContent]) prompt.promptMessages.splice(1, 0, msg) @@ -624,7 +724,8 @@ async function createAgent( if (systemPrompt) promptArrays.unshift(['system', systemPrompt]) if (humanPrompt) promptArrays.push(['human', humanPrompt]) - const prompt = ChatPromptTemplate.fromMessages(promptArrays) + let prompt = ChatPromptTemplate.fromMessages(promptArrays) + prompt = await checkMessageHistory(nodeData, options, prompt, promptArrays, systemPrompt) if (multiModalMessageContent.length) { const msg = HumanMessagePromptTemplate.fromTemplate([...multiModalMessageContent]) @@ -681,6 +782,9 @@ async function agentNode( throw new Error('Aborted!') } + const historySelection = (nodeData.inputs?.conversationHistorySelection || 'all_messages') as ConversationHistorySelection + // @ts-ignore + state.messages = filterConversationHistory(historySelection, input, state) // @ts-ignore state.messages = restructureMessages(llm, state) @@ -688,11 +792,16 @@ async function agentNode( if (interrupt) { const messages = state.messages as unknown as BaseMessage[] - const lastMessage = messages[messages.length - 1] + const lastMessage = messages.length ? messages[messages.length - 1] : null // If the last message is a tool message and is an interrupted message, format output into standard agent output - if (lastMessage._getType() === 'tool' && lastMessage.additional_kwargs?.nodeId === nodeData.id) { - let formattedAgentResult: { output?: string; usedTools?: IUsedTool[]; sourceDocuments?: IDocument[] } = {} + if (lastMessage && lastMessage._getType() === 'tool' && lastMessage.additional_kwargs?.nodeId === nodeData.id) { + let formattedAgentResult: { + output?: string + usedTools?: IUsedTool[] + sourceDocuments?: IDocument[] + artifacts?: ICommonObject[] + } = {} formattedAgentResult.output = result.content if (lastMessage.additional_kwargs?.usedTools) { formattedAgentResult.usedTools = lastMessage.additional_kwargs.usedTools as IUsedTool[] @@ -700,6 +809,9 @@ async function agentNode( if (lastMessage.additional_kwargs?.sourceDocuments) { formattedAgentResult.sourceDocuments = lastMessage.additional_kwargs.sourceDocuments as IDocument[] } + if (lastMessage.additional_kwargs?.artifacts) { + formattedAgentResult.artifacts = lastMessage.additional_kwargs.artifacts as ICommonObject[] + } result = formattedAgentResult } else { result.name = name @@ -718,12 +830,17 @@ async function agentNode( if (result.sourceDocuments) { additional_kwargs.sourceDocuments = result.sourceDocuments } + if (result.artifacts) { + additional_kwargs.artifacts = result.artifacts + } if (result.output) { result.content = result.output delete result.output } - const outputContent = typeof result === 'string' ? result : result.content || result.output + let outputContent = typeof result === 'string' ? result : result.content || result.output + outputContent = extractOutputFromArray(outputContent) + outputContent = removeInvalidImageMarkdown(outputContent) if (nodeData.inputs?.updateStateMemoryUI || nodeData.inputs?.updateStateMemoryCode) { let formattedOutput = { @@ -859,20 +976,51 @@ class ToolNode extends RunnableCallable } private async run(input: BaseMessage[] | MessagesState, config: RunnableConfig): Promise { - const message = Array.isArray(input) ? input[input.length - 1] : input.messages[input.messages.length - 1] + let messages: BaseMessage[] + + // Check if input is an array of BaseMessage[] + if (Array.isArray(input)) { + messages = input + } + // Check if input is IStateWithMessages + else if ((input as IStateWithMessages).messages) { + messages = (input as IStateWithMessages).messages + } + // Handle MessagesState type + else { + messages = (input as MessagesState).messages + } + + // Get the last message + const message = messages[messages.length - 1] if (message._getType() !== 'ai') { throw new Error('ToolNode only accepts AIMessages as input.') } + // Extract all properties except messages for IStateWithMessages + const { messages: _, ...inputWithoutMessages } = Array.isArray(input) ? { messages: input } : input + const ChannelsWithoutMessages = { + chatId: this.options.chatId, + sessionId: this.options.sessionId, + input: this.inputQuery, + state: inputWithoutMessages + } + const outputs = await Promise.all( (message as AIMessage).tool_calls?.map(async (call) => { const tool = this.tools.find((tool) => tool.name === call.name) if (tool === undefined) { throw new Error(`Tool ${call.name} not found.`) } + if (tool && (tool as any).setFlowObject) { + // @ts-ignore + tool.setFlowObject(ChannelsWithoutMessages) + } let output = await tool.invoke(call.args, config) let sourceDocuments: Document[] = [] + let artifacts = [] + if (output?.includes(SOURCE_DOCUMENTS_PREFIX)) { const outputArray = output.split(SOURCE_DOCUMENTS_PREFIX) output = outputArray[0] @@ -883,12 +1031,23 @@ class ToolNode extends RunnableCallable console.error('Error parsing source documents from tool') } } + if (output?.includes(ARTIFACTS_PREFIX)) { + const outputArray = output.split(ARTIFACTS_PREFIX) + output = outputArray[0] + try { + artifacts = JSON.parse(outputArray[1]) + } catch (e) { + console.error('Error parsing artifacts from tool') + } + } + return new ToolMessage({ name: tool.name, content: typeof output === 'string' ? output : JSON.stringify(output), tool_call_id: call.id!, additional_kwargs: { sourceDocuments, + artifacts, args: call.args, usedTools: [ { diff --git a/packages/components/nodes/sequentialagents/Condition/Condition.ts b/packages/components/nodes/sequentialagents/Condition/Condition.ts index bb402805b22..1455c17b1a7 100644 --- a/packages/components/nodes/sequentialagents/Condition/Condition.ts +++ b/packages/components/nodes/sequentialagents/Condition/Condition.ts @@ -96,7 +96,7 @@ class Condition_SeqAgents implements INode { constructor() { this.label = 'Condition' this.name = 'seqCondition' - this.version = 2.0 + this.version = 2.1 this.type = 'Condition' this.icon = 'condition.svg' this.category = 'Sequential Agents' @@ -112,9 +112,11 @@ class Condition_SeqAgents implements INode { placeholder: 'If X, then Y' }, { - label: 'Start | Agent | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Start | Agent | LLMNode | ToolNode', + type: 'Start | Agent | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, LLM Node, Tool Node, Custom Function, Execute Flow', list: true }, { diff --git a/packages/components/nodes/sequentialagents/ConditionAgent/ConditionAgent.ts b/packages/components/nodes/sequentialagents/ConditionAgent/ConditionAgent.ts index dff6e135ffc..ae56efe129b 100644 --- a/packages/components/nodes/sequentialagents/ConditionAgent/ConditionAgent.ts +++ b/packages/components/nodes/sequentialagents/ConditionAgent/ConditionAgent.ts @@ -6,6 +6,7 @@ import { RunnableSequence, RunnablePassthrough, RunnableConfig } from '@langchai import { BaseMessage } from '@langchain/core/messages' import { BaseChatModel } from '@langchain/core/language_models/chat_models' import { + ConversationHistorySelection, ICommonObject, IDatabaseEntity, INode, @@ -15,7 +16,7 @@ import { ISeqAgentNode, ISeqAgentsState } from '../../../src/Interface' -import { getInputVariables, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { getInputVariables, getVars, handleEscapeCharacters, prepareSandboxVars, transformBracesWithColon } from '../../../src/utils' import { ExtractTool, checkCondition, @@ -23,6 +24,7 @@ import { customGet, getVM, transformObjectPropertyToFunction, + filterConversationHistory, restructureMessages } from '../commonUtils' import { ChatGoogleGenerativeAI } from '../../chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI' @@ -149,7 +151,7 @@ class ConditionAgent_SeqAgents implements INode { constructor() { this.label = 'Condition Agent' this.name = 'seqConditionAgent' - this.version = 2.0 + this.version = 3.1 this.type = 'ConditionAgent' this.icon = 'condition.svg' this.category = 'Sequential Agents' @@ -164,9 +166,11 @@ class ConditionAgent_SeqAgents implements INode { placeholder: 'Condition Agent' }, { - label: 'Start | Agent | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Start | Agent | LLMNode | ToolNode', + type: 'Start | Agent | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, LLM Node, Tool Node, Custom Function, Execute Flow', list: true }, { @@ -185,6 +189,42 @@ class ConditionAgent_SeqAgents implements INode { additionalParams: true, optional: true }, + { + label: 'Conversation History', + name: 'conversationHistorySelection', + type: 'options', + options: [ + { + label: 'User Question', + name: 'user_question', + description: 'Use the user question from the historical conversation messages as input.' + }, + { + label: 'Last Conversation Message', + name: 'last_message', + description: 'Use the last conversation message from the historical conversation messages as input.' + }, + { + label: 'All Conversation Messages', + name: 'all_messages', + description: 'Use all conversation messages from the historical conversation messages as input.' + }, + { + label: 'Empty', + name: 'empty', + description: + 'Do not use any messages from the conversation history. ' + + 'Ensure to use either System Prompt, Human Prompt, or Messages History.' + } + ], + default: 'all_messages', + optional: true, + description: + 'Select which messages from the conversation history to include in the prompt. ' + + 'The selected messages will be inserted between the System Prompt (if defined) and ' + + 'Human Prompt.', + additionalParams: true + }, { label: 'Human Prompt', name: 'humanMessagePrompt', @@ -350,7 +390,9 @@ class ConditionAgent_SeqAgents implements INode { const output = nodeData.outputs?.output as string const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] let agentPrompt = nodeData.inputs?.systemMessagePrompt as string + agentPrompt = transformBracesWithColon(agentPrompt) let humanPrompt = nodeData.inputs?.humanMessagePrompt as string + humanPrompt = transformBracesWithColon(humanPrompt) const promptValuesStr = nodeData.inputs?.promptValues const conditionAgentStructuredOutput = nodeData.inputs?.conditionAgentStructuredOutput const model = nodeData.inputs?.model as BaseChatModel @@ -481,6 +523,9 @@ const runCondition = async ( }) } + const historySelection = (nodeData.inputs?.conversationHistorySelection || 'all_messages') as ConversationHistorySelection + // @ts-ignore + state.messages = filterConversationHistory(historySelection, input, state) // @ts-ignore state.messages = restructureMessages(model, state) diff --git a/packages/components/nodes/sequentialagents/CustomFunction/CustomFunction.ts b/packages/components/nodes/sequentialagents/CustomFunction/CustomFunction.ts new file mode 100644 index 00000000000..b7d831e17d0 --- /dev/null +++ b/packages/components/nodes/sequentialagents/CustomFunction/CustomFunction.ts @@ -0,0 +1,257 @@ +import { NodeVM } from '@flowiseai/nodevm' +import { DataSource } from 'typeorm' +import { availableDependencies, defaultAllowBuiltInDep, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams, ISeqAgentNode, ISeqAgentsState } from '../../../src/Interface' +import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages' +import { customGet } from '../commonUtils' + +const howToUseCode = ` +1. Must return a string value at the end of function. + +2. You can get default flow config, including the current "state": + - \`$flow.sessionId\` + - \`$flow.chatId\` + - \`$flow.chatflowId\` + - \`$flow.input\` + - \`$flow.state\` + +3. You can get custom variables: \`$vars.\` + +` + +class CustomFunction_SeqAgents implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + + constructor() { + this.label = 'Custom JS Function' + this.name = 'seqCustomFunction' + this.version = 1.0 + this.type = 'CustomFunction' + this.icon = 'customfunction.svg' + this.category = 'Sequential Agents' + this.description = `Execute custom javascript function` + this.baseClasses = [this.type] + this.inputs = [ + { + label: 'Input Variables', + name: 'functionInputVariables', + description: 'Input variables can be used in the function with prefix $. For example: $var', + type: 'json', + optional: true, + acceptVariable: true, + list: true + }, + { + label: 'Sequential Node', + name: 'sequentialNode', + type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow', + list: true + }, + { + label: 'Function Name', + name: 'functionName', + type: 'string', + placeholder: 'My Function' + }, + { + label: 'Javascript Function', + name: 'javascriptFunction', + type: 'code', + hint: { + label: 'How to use', + value: howToUseCode + } + }, + { + label: 'Return Value As', + name: 'returnValueAs', + type: 'options', + options: [ + { label: 'AI Message', name: 'aiMessage' }, + { label: 'Human Message', name: 'humanMessage' }, + { + label: 'State Object', + name: 'stateObj', + description: "Return as state object, ex: { foo: bar }. This will update the custom state 'foo' to 'bar'" + } + ], + default: 'aiMessage' + } + ] + } + + async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const functionName = nodeData.inputs?.functionName as string + const javascriptFunction = nodeData.inputs?.javascriptFunction as string + const functionInputVariablesRaw = nodeData.inputs?.functionInputVariables + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] + const returnValueAs = nodeData.inputs?.returnValueAs as string + + if (!sequentialNodes || !sequentialNodes.length) throw new Error('Custom function must have a predecessor!') + + const executeFunc = async (state: ISeqAgentsState) => { + const variables = await getVars(appDataSource, databaseEntities, nodeData) + const flow = { + chatflowId: options.chatflowid, + sessionId: options.sessionId, + chatId: options.chatId, + input, + state + } + + let inputVars: ICommonObject = {} + if (functionInputVariablesRaw) { + try { + inputVars = + typeof functionInputVariablesRaw === 'object' ? functionInputVariablesRaw : JSON.parse(functionInputVariablesRaw) + } catch (exception) { + throw new Error('Invalid JSON in the Custom Function Input Variables: ' + exception) + } + } + + // Some values might be a stringified JSON, parse it + for (const key in inputVars) { + let value = inputVars[key] + if (typeof value === 'string') { + value = handleEscapeCharacters(value, true) + if (value.startsWith('{') && value.endsWith('}')) { + try { + value = JSON.parse(value) + const nodeId = value.id || '' + if (nodeId) { + const messages = state.messages as unknown as BaseMessage[] + const content = messages.find((msg) => msg.additional_kwargs?.nodeId === nodeId)?.content + if (content) { + value = content + } + } + } catch (e) { + // ignore + } + } + + if (value.startsWith('$flow.')) { + const variableValue = customGet(flow, value.replace('$flow.', '')) + if (variableValue) { + value = variableValue + } + } else if (value.startsWith('$vars')) { + value = customGet(flow, value.replace('$', '')) + } + inputVars[key] = value + } + } + + let sandbox: any = { + $input: input, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } + sandbox['$vars'] = prepareSandboxVars(variables) + sandbox['$flow'] = flow + + if (Object.keys(inputVars).length) { + for (const item in inputVars) { + sandbox[`$${item}`] = inputVars[item] + } + } + + const builtinDeps = process.env.TOOL_FUNCTION_BUILTIN_DEP + ? defaultAllowBuiltInDep.concat(process.env.TOOL_FUNCTION_BUILTIN_DEP.split(',')) + : defaultAllowBuiltInDep + const externalDeps = process.env.TOOL_FUNCTION_EXTERNAL_DEP ? process.env.TOOL_FUNCTION_EXTERNAL_DEP.split(',') : [] + const deps = availableDependencies.concat(externalDeps) + + const nodeVMOptions = { + console: 'inherit', + sandbox, + require: { + external: { modules: deps }, + builtin: builtinDeps + }, + eval: false, + wasm: false, + timeout: 10000 + } as any + + const vm = new NodeVM(nodeVMOptions) + try { + const response = await vm.run(`module.exports = async function() {${javascriptFunction}}()`, __dirname) + + if (returnValueAs === 'stateObj') { + if (typeof response !== 'object') { + throw new Error('Custom function must return an object!') + } + return { + ...state, + ...response + } + } + + if (typeof response !== 'string') { + throw new Error('Custom function must return a string!') + } + + if (returnValueAs === 'humanMessage') { + return { + messages: [ + new HumanMessage({ + content: response, + additional_kwargs: { + nodeId: nodeData.id + } + }) + ] + } + } + + return { + messages: [ + new AIMessage({ + content: response, + additional_kwargs: { + nodeId: nodeData.id + } + }) + ] + } + } catch (e) { + throw new Error(e) + } + } + + const startLLM = sequentialNodes[0].startLLM + + const returnOutput: ISeqAgentNode = { + id: nodeData.id, + node: executeFunc, + name: functionName.toLowerCase().replace(/\s/g, '_').trim(), + label: functionName, + type: 'utilities', + output: 'CustomFunction', + llm: startLLM, + startLLM, + multiModalMessageContent: sequentialNodes[0]?.multiModalMessageContent, + predecessorAgents: sequentialNodes + } + + return returnOutput + } +} + +module.exports = { nodeClass: CustomFunction_SeqAgents } diff --git a/packages/components/nodes/sequentialagents/CustomFunction/customfunction.svg b/packages/components/nodes/sequentialagents/CustomFunction/customfunction.svg new file mode 100644 index 00000000000..506f3248cb5 --- /dev/null +++ b/packages/components/nodes/sequentialagents/CustomFunction/customfunction.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/packages/components/nodes/sequentialagents/End/End.ts b/packages/components/nodes/sequentialagents/End/End.ts index 8b22338610d..7705195665b 100644 --- a/packages/components/nodes/sequentialagents/End/End.ts +++ b/packages/components/nodes/sequentialagents/End/End.ts @@ -18,7 +18,7 @@ class End_SeqAgents implements INode { constructor() { this.label = 'End' this.name = 'seqEnd' - this.version = 2.0 + this.version = 2.1 this.type = 'End' this.icon = 'end.svg' this.category = 'Sequential Agents' @@ -27,9 +27,11 @@ class End_SeqAgents implements INode { this.documentation = 'https://docs.flowiseai.com/using-flowise/agentflows/sequential-agents#id-10.-end-node' this.inputs = [ { - label: 'Agent | Condition | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Agent | Condition | LLMNode | ToolNode' + type: 'Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow' } ] this.hideOutput = true diff --git a/packages/components/nodes/sequentialagents/ExecuteFlow/ExecuteFlow.ts b/packages/components/nodes/sequentialagents/ExecuteFlow/ExecuteFlow.ts new file mode 100644 index 00000000000..479ebfbb48a --- /dev/null +++ b/packages/components/nodes/sequentialagents/ExecuteFlow/ExecuteFlow.ts @@ -0,0 +1,339 @@ +import { NodeVM } from '@flowiseai/nodevm' +import { DataSource } from 'typeorm' +import { + availableDependencies, + defaultAllowBuiltInDep, + getCredentialData, + getCredentialParam, + getVars, + prepareSandboxVars +} from '../../../src/utils' +import { + ICommonObject, + IDatabaseEntity, + INode, + INodeData, + INodeOptionsValue, + INodeParams, + ISeqAgentNode, + ISeqAgentsState +} from '../../../src/Interface' +import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages' +import { v4 as uuidv4 } from 'uuid' + +class ExecuteFlow_SeqAgents implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + + constructor() { + this.label = 'Execute Flow' + this.name = 'seqExecuteFlow' + this.version = 1.0 + this.type = 'ExecuteFlow' + this.icon = 'executeflow.svg' + this.category = 'Sequential Agents' + this.description = `Execute chatflow/agentflow and return final response` + this.baseClasses = [this.type] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['chatflowApi'], + optional: true + } + this.inputs = [ + { + label: 'Sequential Node', + name: 'sequentialNode', + type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow', + list: true + }, + { + label: 'Name', + name: 'seqExecuteFlowName', + type: 'string' + }, + { + label: 'Select Flow', + name: 'selectedFlow', + type: 'asyncOptions', + loadMethod: 'listFlows' + }, + { + label: 'Input', + name: 'seqExecuteFlowInput', + type: 'options', + description: 'Select one of the following or enter custom input', + freeSolo: true, + loadPreviousNodes: true, + options: [ + { + label: '{{ question }}', + name: 'userQuestion', + description: 'Use the user question from the chat as input.' + } + ] + }, + { + label: 'Override Config', + name: 'overrideConfig', + description: 'Override the config passed to the flow.', + type: 'json', + optional: true, + additionalParams: true + }, + { + label: 'Base URL', + name: 'baseURL', + type: 'string', + description: + 'Base URL to Flowise. By default, it is the URL of the incoming request. Useful when you need to execute flow through an alternative route.', + placeholder: 'http://localhost:3000', + optional: true, + additionalParams: true + }, + { + label: 'Start new session per message', + name: 'startNewSession', + type: 'boolean', + description: + 'Whether to continue the session or start a new one with each interaction. Useful for flows with memory if you want to avoid it.', + default: false, + optional: true, + additionalParams: true + }, + { + label: 'Return Value As', + name: 'returnValueAs', + type: 'options', + options: [ + { label: 'AI Message', name: 'aiMessage' }, + { label: 'Human Message', name: 'humanMessage' }, + { + label: 'State Object', + name: 'stateObj', + description: "Return as state object, ex: { foo: bar }. This will update the custom state 'foo' to 'bar'" + } + ], + default: 'aiMessage' + } + ] + } + + //@ts-ignore + loadMethods = { + async listFlows(_: INodeData, options: ICommonObject): Promise { + const returnData: INodeOptionsValue[] = [] + + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + if (appDataSource === undefined || !appDataSource) { + return returnData + } + + const chatflows = await appDataSource.getRepository(databaseEntities['ChatFlow']).find() + + for (let i = 0; i < chatflows.length; i += 1) { + const data = { + label: chatflows[i].name, + name: chatflows[i].id + } as INodeOptionsValue + returnData.push(data) + } + return returnData + } + } + + async init(nodeData: INodeData, input: string, options: ICommonObject): Promise { + const selectedFlowId = nodeData.inputs?.selectedFlow as string + const _seqExecuteFlowName = nodeData.inputs?.seqExecuteFlowName as string + if (!_seqExecuteFlowName) throw new Error('Execute Flow node name is required!') + const seqExecuteFlowName = _seqExecuteFlowName.toLowerCase().replace(/\s/g, '_').trim() + const startNewSession = nodeData.inputs?.startNewSession as boolean + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] + const seqExecuteFlowInput = nodeData.inputs?.seqExecuteFlowInput as string + const overrideConfig = + typeof nodeData.inputs?.overrideConfig === 'string' && + nodeData.inputs.overrideConfig.startsWith('{') && + nodeData.inputs.overrideConfig.endsWith('}') + ? JSON.parse(nodeData.inputs.overrideConfig) + : nodeData.inputs?.overrideConfig + + if (!sequentialNodes || !sequentialNodes.length) throw new Error('Execute Flow must have a predecessor!') + + const baseURL = (nodeData.inputs?.baseURL as string) || (options.baseURL as string) + const returnValueAs = nodeData.inputs?.returnValueAs as string + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const chatflowApiKey = getCredentialParam('chatflowApiKey', credentialData, nodeData) + + if (selectedFlowId === options.chatflowid) throw new Error('Cannot call the same agentflow!') + + let headers = {} + if (chatflowApiKey) headers = { Authorization: `Bearer ${chatflowApiKey}` } + + const chatflowId = options.chatflowid + const sessionId = options.sessionId + const chatId = options.chatId + + const executeFunc = async (state: ISeqAgentsState) => { + const variables = await getVars(appDataSource, databaseEntities, nodeData) + + let flowInput = '' + if (seqExecuteFlowInput === 'userQuestion') { + flowInput = input + } else if (seqExecuteFlowInput && seqExecuteFlowInput.startsWith('{{') && seqExecuteFlowInput.endsWith('}}')) { + const nodeId = seqExecuteFlowInput.replace('{{', '').replace('}}', '').replace('$', '').trim() + const messageOutputs = ((state.messages as unknown as BaseMessage[]) ?? []).filter( + (message) => message.additional_kwargs && message.additional_kwargs?.nodeId === nodeId + ) + const messageOutput = messageOutputs[messageOutputs.length - 1] + + if (messageOutput) { + flowInput = JSON.stringify(messageOutput.content) + } + } + + const flow = { + chatflowId, + sessionId, + chatId, + input: flowInput, + state + } + + const body = { + question: flowInput, + chatId: startNewSession ? uuidv4() : chatId, + overrideConfig: { + sessionId: startNewSession ? uuidv4() : sessionId, + ...(overrideConfig ?? {}) + } + } + + const options = { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + ...headers + }, + body: JSON.stringify(body) + } + + let sandbox: ICommonObject = { + $input: flowInput, + $callOptions: options, + $callBody: body, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } + sandbox['$vars'] = prepareSandboxVars(variables) + sandbox['$flow'] = flow + + const code = ` + const fetch = require('node-fetch'); + const url = "${baseURL}/api/v1/prediction/${selectedFlowId}"; + + const body = $callBody; + + const options = $callOptions; + + try { + const response = await fetch(url, options); + const resp = await response.json(); + return resp.text; + } catch (error) { + console.error(error); + return ''; + } +` + + const builtinDeps = process.env.TOOL_FUNCTION_BUILTIN_DEP + ? defaultAllowBuiltInDep.concat(process.env.TOOL_FUNCTION_BUILTIN_DEP.split(',')) + : defaultAllowBuiltInDep + const externalDeps = process.env.TOOL_FUNCTION_EXTERNAL_DEP ? process.env.TOOL_FUNCTION_EXTERNAL_DEP.split(',') : [] + const deps = availableDependencies.concat(externalDeps) + + const nodeVMOptions = { + console: 'inherit', + sandbox, + require: { + external: { modules: deps }, + builtin: builtinDeps + }, + eval: false, + wasm: false, + timeout: 10000 + } as any + + const vm = new NodeVM(nodeVMOptions) + try { + let response = await vm.run(`module.exports = async function() {${code}}()`, __dirname) + + if (typeof response === 'object') { + response = JSON.stringify(response) + } + + if (returnValueAs === 'humanMessage') { + return { + messages: [ + new HumanMessage({ + content: response, + additional_kwargs: { + nodeId: nodeData.id + } + }) + ] + } + } + + return { + messages: [ + new AIMessage({ + content: response, + additional_kwargs: { + nodeId: nodeData.id + } + }) + ] + } + } catch (e) { + throw new Error(e) + } + } + + const startLLM = sequentialNodes[0].startLLM + + const returnOutput: ISeqAgentNode = { + id: nodeData.id, + node: executeFunc, + name: seqExecuteFlowName, + label: _seqExecuteFlowName, + type: 'utilities', + output: 'ExecuteFlow', + llm: startLLM, + startLLM, + multiModalMessageContent: sequentialNodes[0]?.multiModalMessageContent, + predecessorAgents: sequentialNodes + } + + return returnOutput + } +} + +module.exports = { nodeClass: ExecuteFlow_SeqAgents } diff --git a/packages/components/nodes/sequentialagents/ExecuteFlow/executeflow.svg b/packages/components/nodes/sequentialagents/ExecuteFlow/executeflow.svg new file mode 100644 index 00000000000..f97d2511457 --- /dev/null +++ b/packages/components/nodes/sequentialagents/ExecuteFlow/executeflow.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/sequentialagents/LLMNode/LLMNode.ts b/packages/components/nodes/sequentialagents/LLMNode/LLMNode.ts index 17b5830d90a..182f1a41bf4 100644 --- a/packages/components/nodes/sequentialagents/LLMNode/LLMNode.ts +++ b/packages/components/nodes/sequentialagents/LLMNode/LLMNode.ts @@ -14,10 +14,18 @@ import { MessageContentImageUrl, INodeOutputsValue, ISeqAgentNode, - IDatabaseEntity + IDatabaseEntity, + ConversationHistorySelection } from '../../../src/Interface' import { AgentExecutor } from '../../../src/agents' -import { getInputVariables, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { + extractOutputFromArray, + getInputVariables, + getVars, + handleEscapeCharacters, + prepareSandboxVars, + transformBracesWithColon +} from '../../../src/utils' import { ExtractTool, convertStructuredSchemaToZod, @@ -25,7 +33,9 @@ import { getVM, processImageMessage, transformObjectPropertyToFunction, - restructureMessages + filterConversationHistory, + restructureMessages, + checkMessageHistory } from '../commonUtils' import { ChatGoogleGenerativeAI } from '../../chatmodels/ChatGoogleGenerativeAI/FlowiseChatGoogleGenerativeAI' @@ -87,7 +97,7 @@ const howToUse = ` |-----------|-----------| | user | john doe | -2. If you want to use the agent's output as the value to update state, it is available as available as \`$flow.output\` with the following structure: +2. If you want to use the LLM Node's output as the value to update state, it is available as available as \`$flow.output\` with the following structure: \`\`\`json { "content": 'Hello! How can I assist you today?', @@ -130,6 +140,31 @@ return { aggregate: [result.content] };` +const messageHistoryExample = `const { AIMessage, HumanMessage, ToolMessage } = require('@langchain/core/messages'); + +return [ + new HumanMessage("What is 333382 🦜 1932?"), + new AIMessage({ + content: "", + tool_calls: [ + { + id: "12345", + name: "calulator", + args: { + number1: 333382, + number2: 1932, + operation: "divide", + }, + }, + ], + }), + new ToolMessage({ + tool_call_id: "12345", + content: "The answer is 172.558.", + }), + new AIMessage("The answer is 172.558."), +]` + class LLMNode_SeqAgents implements INode { label: string name: string @@ -147,7 +182,7 @@ class LLMNode_SeqAgents implements INode { constructor() { this.label = 'LLM Node' this.name = 'seqLLMNode' - this.version = 2.0 + this.version = 4.1 this.type = 'LLMNode' this.icon = 'llmNode.svg' this.category = 'Sequential Agents' @@ -169,6 +204,53 @@ class LLMNode_SeqAgents implements INode { optional: true, additionalParams: true }, + { + label: 'Prepend Messages History', + name: 'messageHistory', + description: + 'Prepend a list of messages between System Prompt and Human Prompt. This is useful when you want to provide few shot examples', + type: 'code', + hideCodeExecute: true, + codeExample: messageHistoryExample, + optional: true, + additionalParams: true + }, + { + label: 'Conversation History', + name: 'conversationHistorySelection', + type: 'options', + options: [ + { + label: 'User Question', + name: 'user_question', + description: 'Use the user question from the historical conversation messages as input.' + }, + { + label: 'Last Conversation Message', + name: 'last_message', + description: 'Use the last conversation message from the historical conversation messages as input.' + }, + { + label: 'All Conversation Messages', + name: 'all_messages', + description: 'Use all conversation messages from the historical conversation messages as input.' + }, + { + label: 'Empty', + name: 'empty', + description: + 'Do not use any messages from the conversation history. ' + + 'Ensure to use either System Prompt, Human Prompt, or Messages History.' + } + ], + default: 'all_messages', + optional: true, + description: + 'Select which messages from the conversation history to include in the prompt. ' + + 'The selected messages will be inserted between the System Prompt (if defined) and ' + + '[Messages History, Human Prompt].', + additionalParams: true + }, { label: 'Human Prompt', name: 'humanMessagePrompt', @@ -179,9 +261,11 @@ class LLMNode_SeqAgents implements INode { additionalParams: true }, { - label: 'Start | Agent | Condition | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Start | Agent | Condition | LLMNode | ToolNode', + type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Start, Agent, Condition, LLM, Tool Node, Custom Function, Execute Flow', list: true }, { @@ -313,7 +397,9 @@ class LLMNode_SeqAgents implements INode { tools = flatten(tools) let systemPrompt = nodeData.inputs?.systemMessagePrompt as string + systemPrompt = transformBracesWithColon(systemPrompt) let humanPrompt = nodeData.inputs?.humanMessagePrompt as string + humanPrompt = transformBracesWithColon(humanPrompt) const llmNodeLabel = nodeData.inputs?.llmNodeName as string const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[] const model = nodeData.inputs?.model as BaseChatModel @@ -355,6 +441,8 @@ class LLMNode_SeqAgents implements INode { state, llm, agent: await createAgent( + nodeData, + options, llmNodeName, state, bindModel || llm, @@ -394,6 +482,8 @@ class LLMNode_SeqAgents implements INode { } async function createAgent( + nodeData: INodeData, + options: ICommonObject, llmNodeName: string, state: ISeqAgentsState, llm: BaseChatModel, @@ -438,7 +528,9 @@ async function createAgent( if (systemPrompt) promptArrays.unshift(['system', systemPrompt]) if (humanPrompt) promptArrays.push(['human', humanPrompt]) - const prompt = ChatPromptTemplate.fromMessages(promptArrays) + let prompt = ChatPromptTemplate.fromMessages(promptArrays) + prompt = await checkMessageHistory(nodeData, options, prompt, promptArrays, systemPrompt) + if (multiModalMessageContent.length) { const msg = HumanMessagePromptTemplate.fromTemplate([...multiModalMessageContent]) prompt.promptMessages.splice(1, 0, msg) @@ -491,6 +583,9 @@ async function agentNode( throw new Error('Aborted!') } + const historySelection = (nodeData.inputs?.conversationHistorySelection || 'all_messages') as ConversationHistorySelection + // @ts-ignore + state.messages = filterConversationHistory(historySelection, input, state) // @ts-ignore state.messages = restructureMessages(llm, state) @@ -523,6 +618,8 @@ async function agentNode( } else { result.name = name result.additional_kwargs = { ...result.additional_kwargs, nodeId: nodeData.id } + let outputContent = typeof result === 'string' ? result : result.content + result.content = extractOutputFromArray(outputContent) return { ...returnedOutput, messages: [result] @@ -543,6 +640,8 @@ async function agentNode( } else { result.name = name result.additional_kwargs = { ...result.additional_kwargs, nodeId: nodeData.id } + let outputContent = typeof result === 'string' ? result : result.content + result.content = extractOutputFromArray(outputContent) return { messages: [result] } diff --git a/packages/components/nodes/sequentialagents/Loop/Loop.ts b/packages/components/nodes/sequentialagents/Loop/Loop.ts index 357c0883b89..ba0a012c620 100644 --- a/packages/components/nodes/sequentialagents/Loop/Loop.ts +++ b/packages/components/nodes/sequentialagents/Loop/Loop.ts @@ -17,7 +17,7 @@ class Loop_SeqAgents implements INode { constructor() { this.label = 'Loop' this.name = 'seqLoop' - this.version = 2.0 + this.version = 2.1 this.type = 'Loop' this.icon = 'loop.svg' this.category = 'Sequential Agents' @@ -26,9 +26,11 @@ class Loop_SeqAgents implements INode { this.documentation = 'https://docs.flowiseai.com/using-flowise/agentflows/sequential-agents#id-9.-loop-node' this.inputs = [ { - label: 'Agent | Condition | LLM | Tool Node', + label: 'Sequential Node', name: 'sequentialNode', - type: 'Agent | Condition | LLMNode | ToolNode', + type: 'Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow', + description: + 'Can be connected to one of the following nodes: Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow', list: true }, { diff --git a/packages/components/nodes/sequentialagents/State/State.ts b/packages/components/nodes/sequentialagents/State/State.ts index d10e616ca5a..5c48cb7a782 100644 --- a/packages/components/nodes/sequentialagents/State/State.ts +++ b/packages/components/nodes/sequentialagents/State/State.ts @@ -1,8 +1,8 @@ import { START } from '@langchain/langgraph' +import { NodeVM } from '@flowiseai/nodevm' +import { DataSource } from 'typeorm' import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams, ISeqAgentNode } from '../../../src/Interface' import { availableDependencies, defaultAllowBuiltInDep, getVars, prepareSandboxVars } from '../../../src/utils' -import { NodeVM } from 'vm2' -import { DataSource } from 'typeorm' const defaultFunc = `{ aggregate: { @@ -107,13 +107,15 @@ class State_SeqAgents implements INode { if (stateMemory && stateMemory !== 'stateMemoryUI' && stateMemory !== 'stateMemoryCode') { try { + const parsedSchemaFromUI = typeof stateMemoryUI === 'string' ? JSON.parse(stateMemoryUI) : stateMemoryUI const parsedSchema = typeof stateMemory === 'string' ? JSON.parse(stateMemory) : stateMemory + const combinedMemorySchema = [...parsedSchemaFromUI, ...parsedSchema] const obj: ICommonObject = {} - for (const sch of parsedSchema) { - const key = sch.Key + for (const sch of combinedMemorySchema) { + const key = sch.Key ?? sch.key if (!key) throw new Error(`Key is required`) - const type = sch.Operation - const defaultValue = sch['Default Value'] + const type = sch.Operation ?? sch.type + const defaultValue = sch['Default Value'] ?? sch.defaultValue if (type === 'Append') { obj[key] = { @@ -196,7 +198,13 @@ class State_SeqAgents implements INode { input } - let sandbox: any = {} + let sandbox: any = { + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } sandbox['$vars'] = prepareSandboxVars(variables) sandbox['$flow'] = flow @@ -212,7 +220,10 @@ class State_SeqAgents implements INode { require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(nodeVMOptions) diff --git a/packages/components/nodes/sequentialagents/ToolNode/ToolNode.ts b/packages/components/nodes/sequentialagents/ToolNode/ToolNode.ts index 44cefc8794f..fda82aec95b 100644 --- a/packages/components/nodes/sequentialagents/ToolNode/ToolNode.ts +++ b/packages/components/nodes/sequentialagents/ToolNode/ToolNode.ts @@ -1,9 +1,18 @@ import { flatten } from 'lodash' -import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams, ISeqAgentNode, IUsedTool } from '../../../src/Interface' +import { + ICommonObject, + IDatabaseEntity, + INode, + INodeData, + INodeParams, + ISeqAgentNode, + IUsedTool, + IStateWithMessages +} from '../../../src/Interface' import { AIMessage, AIMessageChunk, BaseMessage, ToolMessage } from '@langchain/core/messages' import { StructuredTool } from '@langchain/core/tools' import { RunnableConfig } from '@langchain/core/runnables' -import { SOURCE_DOCUMENTS_PREFIX } from '../../../src/agents' +import { ARTIFACTS_PREFIX, SOURCE_DOCUMENTS_PREFIX } from '../../../src/agents' import { Document } from '@langchain/core/documents' import { DataSource } from 'typeorm' import { MessagesState, RunnableCallable, customGet, getVM } from '../commonUtils' @@ -39,9 +48,9 @@ const howToUseCode = ` "sourceDocuments": [ { "pageContent": "This is the page content", - "metadata": "{foo: var}", + "metadata": "{foo: var}" } - ], + ] } ] \`\`\` @@ -55,7 +64,7 @@ const howToUseCode = ` */ return { - "sources": $flow.output[0].sourceDocuments + "sources": $flow.output[0].toolOutput } \`\`\` @@ -80,17 +89,19 @@ const howToUse = ` |-----------|-----------| | user | john doe | -2. If you want to use the agent's output as the value to update state, it is available as available as \`$flow.output\` with the following structure (array): +2. If you want to use the Tool Node's output as the value to update state, it is available as available as \`$flow.output\` with the following structure (array): \`\`\`json [ { - "content": "Hello! How can I assist you today?", + "tool": "tool's name", + "toolInput": {}, + "toolOutput": "tool's output content", "sourceDocuments": [ { "pageContent": "This is the page content", - "metadata": "{foo: var}", + "metadata": "{foo: var}" } - ], + ] } ] \`\`\` @@ -98,7 +109,7 @@ const howToUse = ` For example: | Key | Value | |--------------|-------------------------------------------| - | sources | \`$flow.output[0].sourceDocuments\` | + | sources | \`$flow.output[0].toolOutput\` | 3. You can get default flow config, including the current "state": - \`$flow.sessionId\` @@ -143,7 +154,7 @@ class ToolNode_SeqAgents implements INode { constructor() { this.label = 'Tool Node' this.name = 'seqToolNode' - this.version = 2.0 + this.version = 2.1 this.type = 'ToolNode' this.icon = 'toolNode.svg' this.category = 'Sequential Agents' @@ -350,7 +361,7 @@ class ToolNode_SeqAgents implements INode { } } -class ToolNode extends RunnableCallable { +class ToolNode extends RunnableCallable { tools: StructuredTool[] nodeData: INodeData inputQuery: string @@ -372,21 +383,51 @@ class ToolNode extends RunnableCallable this.options = options } - private async run(input: BaseMessage[] | MessagesState, config: RunnableConfig): Promise { - const message = Array.isArray(input) ? input[input.length - 1] : input.messages[input.messages.length - 1] + private async run(input: T, config: RunnableConfig): Promise { + let messages: BaseMessage[] + + // Check if input is an array of BaseMessage[] + if (Array.isArray(input)) { + messages = input + } + // Check if input is IStateWithMessages + else if ((input as IStateWithMessages).messages) { + messages = (input as IStateWithMessages).messages + } + // Handle MessagesState type + else { + messages = (input as MessagesState).messages + } + + // Get the last message + const message = messages[messages.length - 1] if (message._getType() !== 'ai') { throw new Error('ToolNode only accepts AIMessages as input.') } + // Extract all properties except messages for IStateWithMessages + const { messages: _, ...inputWithoutMessages } = Array.isArray(input) ? { messages: input } : input + const ChannelsWithoutMessages = { + chatId: this.options.chatId, + sessionId: this.options.sessionId, + input: this.inputQuery, + state: inputWithoutMessages + } + const outputs = await Promise.all( (message as AIMessage).tool_calls?.map(async (call) => { const tool = this.tools.find((tool) => tool.name === call.name) if (tool === undefined) { throw new Error(`Tool ${call.name} not found.`) } + if (tool && (tool as any).setFlowObject) { + // @ts-ignore + tool.setFlowObject(ChannelsWithoutMessages) + } let output = await tool.invoke(call.args, config) let sourceDocuments: Document[] = [] + let artifacts = [] if (output?.includes(SOURCE_DOCUMENTS_PREFIX)) { const outputArray = output.split(SOURCE_DOCUMENTS_PREFIX) output = outputArray[0] @@ -397,12 +438,23 @@ class ToolNode extends RunnableCallable console.error('Error parsing source documents from tool') } } + if (output?.includes(ARTIFACTS_PREFIX)) { + const outputArray = output.split(ARTIFACTS_PREFIX) + output = outputArray[0] + try { + artifacts = JSON.parse(outputArray[1]) + } catch (e) { + console.error('Error parsing artifacts from tool') + } + } + return new ToolMessage({ name: tool.name, content: typeof output === 'string' ? output : JSON.stringify(output), tool_call_id: call.id!, additional_kwargs: { sourceDocuments, + artifacts, args: call.args, usedTools: [ { @@ -436,7 +488,7 @@ const getReturnOutput = async ( input: string, options: ICommonObject, outputs: ToolMessage[], - state: BaseMessage[] | MessagesState + state: ICommonObject ) => { const appDataSource = options.appDataSource as DataSource const databaseEntities = options.databaseEntities as IDatabaseEntity @@ -453,7 +505,8 @@ const getReturnOutput = async ( tool: output.name, toolInput: output.additional_kwargs.args, toolOutput: output.content, - sourceDocuments: output.additional_kwargs.sourceDocuments + sourceDocuments: output.additional_kwargs.sourceDocuments, + artifacts: output.additional_kwargs.artifacts } as IUsedTool }) diff --git a/packages/components/nodes/sequentialagents/commonUtils.ts b/packages/components/nodes/sequentialagents/commonUtils.ts index b68de0bc429..3fe298f7f04 100644 --- a/packages/components/nodes/sequentialagents/commonUtils.ts +++ b/packages/components/nodes/sequentialagents/commonUtils.ts @@ -1,7 +1,7 @@ import { get } from 'lodash' import { z } from 'zod' import { DataSource } from 'typeorm' -import { NodeVM } from 'vm2' +import { NodeVM } from '@flowiseai/nodevm' import { StructuredTool } from '@langchain/core/tools' import { ChatMistralAI } from '@langchain/mistralai' import { ChatAnthropic } from '@langchain/anthropic' @@ -9,8 +9,16 @@ import { Runnable, RunnableConfig, mergeConfigs } from '@langchain/core/runnable import { AIMessage, BaseMessage, HumanMessage, MessageContentImageUrl, ToolMessage } from '@langchain/core/messages' import { BaseChatModel } from '@langchain/core/language_models/chat_models' import { addImagesToMessages, llmSupportsVision } from '../../src/multiModalUtils' -import { ICommonObject, IDatabaseEntity, INodeData, ISeqAgentsState, IVisionChatModal } from '../../src/Interface' +import { + ICommonObject, + IDatabaseEntity, + INodeData, + ISeqAgentsState, + IVisionChatModal, + ConversationHistorySelection +} from '../../src/Interface' import { availableDependencies, defaultAllowBuiltInDep, getVars, prepareSandboxVars } from '../../src/utils' +import { ChatPromptTemplate, BaseMessagePromptTemplateLike } from '@langchain/core/prompts' export const checkCondition = (input: string | number | undefined, condition: string, value: string | number = ''): boolean => { if (!input && condition === 'Is Empty') return true @@ -91,7 +99,25 @@ export const transformObjectPropertyToFunction = (obj: ICommonObject, state: ISe (message) => message.additional_kwargs && message.additional_kwargs?.nodeId === parsedValue.id ) const messageOutput = messageOutputs[messageOutputs.length - 1] - if (messageOutput) value = messageOutput.content + if (messageOutput) { + // if messageOutput.content is a string, set value to the content + if (typeof messageOutput.content === 'string') value = messageOutput.content + // if messageOutput.content is an array + else if (Array.isArray(messageOutput.content)) { + if (messageOutput.content.length === 0) { + throw new Error(`Message output content is an empty array for node ${parsedValue.id}`) + } + // Get the first element of the array + const messageOutputContentFirstElement: any = messageOutput.content[0] + + if (typeof messageOutputContentFirstElement === 'string') value = messageOutputContentFirstElement + // If messageOutputContentFirstElement is an object and has a text property, set value to the text property + else if (typeof messageOutputContentFirstElement === 'object' && messageOutputContentFirstElement.text) + value = messageOutputContentFirstElement.text + // Otherwise, stringify the messageOutputContentFirstElement + else value = JSON.stringify(messageOutputContentFirstElement) + } + } } } catch (e) { // do nothing @@ -127,7 +153,13 @@ export const processImageMessage = async (llm: BaseChatModel, nodeData: INodeDat export const getVM = async (appDataSource: DataSource, databaseEntities: IDatabaseEntity, nodeData: INodeData, flow: ICommonObject) => { const variables = await getVars(appDataSource, databaseEntities, nodeData) - let sandbox: any = {} + let sandbox: any = { + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } sandbox['$vars'] = prepareSandboxVars(variables) sandbox['$flow'] = flow @@ -143,7 +175,10 @@ export const getVM = async (appDataSource: DataSource, databaseEntities: IDataba require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any return new NodeVM(nodeVMOptions) @@ -207,11 +242,39 @@ export const convertStructuredSchemaToZod = (schema: string | object): ICommonOb } } +/** + * Filter the conversation history based on the selected option. + * + * @param historySelection - The selected history option. + * @param input - The user input. + * @param state - The current state of the sequential llm or agent node. + */ +export function filterConversationHistory( + historySelection: ConversationHistorySelection, + input: string, + state: ISeqAgentsState +): BaseMessage[] { + switch (historySelection) { + case 'user_question': + return [new HumanMessage(input)] + case 'last_message': + // @ts-ignore + return state.messages?.length ? [state.messages[state.messages.length - 1] as BaseMessage] : [] + case 'empty': + return [] + case 'all_messages': + // @ts-ignore + return (state.messages as BaseMessage[]) ?? [] + default: + throw new Error(`Unhandled conversationHistorySelection: ${historySelection}`) + } +} + export const restructureMessages = (llm: BaseChatModel, state: ISeqAgentsState) => { const messages: BaseMessage[] = [] for (const message of state.messages as unknown as BaseMessage[]) { // Sometimes Anthropic can return a message with content types of array, ignore that EXECEPT when tool calls are present - if ((message as any).tool_calls?.length) { + if ((message as any).tool_calls?.length && message.content !== '') { message.content = JSON.stringify(message.content) } @@ -344,3 +407,34 @@ export class RunnableCallable extends Runnable { return returnValue } } + +export const checkMessageHistory = async ( + nodeData: INodeData, + options: ICommonObject, + prompt: ChatPromptTemplate, + promptArrays: BaseMessagePromptTemplateLike[], + sysPrompt: string +) => { + const messageHistory = nodeData.inputs?.messageHistory + + if (messageHistory) { + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + const vm = await getVM(appDataSource, databaseEntities, nodeData, {}) + try { + const response = await vm.run(`module.exports = async function() {${messageHistory}}()`, __dirname) + if (!Array.isArray(response)) throw new Error('Returned message history must be an array') + if (sysPrompt) { + // insert at index 1 + promptArrays.splice(1, 0, ...response) + } else { + promptArrays.unshift(...response) + } + prompt = ChatPromptTemplate.fromMessages(promptArrays) + } catch (e) { + throw new Error(e) + } + } + + return prompt +} diff --git a/packages/components/nodes/tools/ChainTool/core.ts b/packages/components/nodes/tools/ChainTool/core.ts index 60ba5977637..1848b81caca 100644 --- a/packages/components/nodes/tools/ChainTool/core.ts +++ b/packages/components/nodes/tools/ChainTool/core.ts @@ -1,6 +1,7 @@ import { DynamicTool, DynamicToolInput } from '@langchain/core/tools' import { BaseChain } from 'langchain/chains' import { handleEscapeCharacters } from '../../../src/utils' +import { CustomChainHandler } from '../../../src' export interface ChainToolInput extends Omit { chain: BaseChain @@ -13,13 +14,18 @@ export class ChainTool extends DynamicTool { super({ ...rest, func: async (input, runManager) => { - // To enable LLM Chain which has promptValues + const childManagers = runManager?.getChild() + const handlers = childManagers?.handlers?.filter((handler) => !(handler instanceof CustomChainHandler)) || [] + if (childManagers) childManagers.handlers = handlers + if ((chain as any).prompt && (chain as any).prompt.promptValues) { const promptValues = handleEscapeCharacters((chain as any).prompt.promptValues, true) - const values = await chain.call(promptValues, runManager?.getChild()) + const values = await chain.call(promptValues, childManagers) return values?.text } - return chain.run(input, runManager?.getChild()) + + const values = chain.run(input, childManagers) + return values } }) this.chain = chain diff --git a/packages/components/nodes/tools/ChatflowTool/ChatflowTool.ts b/packages/components/nodes/tools/ChatflowTool/ChatflowTool.ts index 0a8d5516804..f0f71811015 100644 --- a/packages/components/nodes/tools/ChatflowTool/ChatflowTool.ts +++ b/packages/components/nodes/tools/ChatflowTool/ChatflowTool.ts @@ -1,6 +1,6 @@ import { DataSource } from 'typeorm' import { z } from 'zod' -import { NodeVM } from 'vm2' +import { NodeVM } from '@flowiseai/nodevm' import { RunnableConfig } from '@langchain/core/runnables' import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager' import { StructuredTool } from '@langchain/core/tools' @@ -23,7 +23,7 @@ class ChatflowTool_Tools implements INode { constructor() { this.label = 'Chatflow Tool' this.name = 'ChatflowTool' - this.version = 3.0 + this.version = 5.0 this.type = 'ChatflowTool' this.icon = 'chatflowTool.svg' this.category = 'Tools' @@ -57,6 +57,20 @@ class ChatflowTool_Tools implements INode { placeholder: 'State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.' }, + { + label: 'Return Direct', + name: 'returnDirect', + type: 'boolean', + optional: true + }, + { + label: 'Override Config', + name: 'overrideConfig', + description: 'Override the config passed to the Chatflow.', + type: 'json', + optional: true, + additionalParams: true + }, { label: 'Base URL', name: 'baseURL', @@ -126,7 +140,14 @@ class ChatflowTool_Tools implements INode { const _name = nodeData.inputs?.name as string const description = nodeData.inputs?.description as string const useQuestionFromChat = nodeData.inputs?.useQuestionFromChat as boolean + const returnDirect = nodeData.inputs?.returnDirect as boolean const customInput = nodeData.inputs?.customInput as string + const overrideConfig = + typeof nodeData.inputs?.overrideConfig === 'string' && + nodeData.inputs.overrideConfig.startsWith('{') && + nodeData.inputs.overrideConfig.endsWith('}') + ? JSON.parse(nodeData.inputs.overrideConfig) + : nodeData.inputs?.overrideConfig const startNewSession = nodeData.inputs?.startNewSession as boolean @@ -143,13 +164,23 @@ class ChatflowTool_Tools implements INode { let toolInput = '' if (useQuestionFromChat) { toolInput = input - } else if (!customInput) { + } else if (customInput) { toolInput = customInput } let name = _name || 'chatflow_tool' - return new ChatflowTool({ name, baseURL, description, chatflowid: selectedChatflowId, startNewSession, headers, input: toolInput }) + return new ChatflowTool({ + name, + baseURL, + description, + returnDirect, + chatflowid: selectedChatflowId, + startNewSession, + headers, + input: toolInput, + overrideConfig + }) } } @@ -172,26 +203,33 @@ class ChatflowTool extends StructuredTool { headers = {} + overrideConfig?: object + schema = z.object({ input: z.string().describe('input question') + // overrideConfig: z.record(z.any()).optional().describe('override config'), // This will be passed to the Agent, so comment it for now. }) as any constructor({ name, description, + returnDirect, input, chatflowid, startNewSession, baseURL, - headers + headers, + overrideConfig }: { name: string description: string + returnDirect: boolean input: string chatflowid: string startNewSession: boolean baseURL: string headers: ICommonObject + overrideConfig?: object }) { super() this.name = name @@ -201,6 +239,8 @@ class ChatflowTool extends StructuredTool { this.startNewSession = startNewSession this.headers = headers this.chatflowid = chatflowid + this.overrideConfig = overrideConfig + this.returnDirect = returnDirect } async call( @@ -244,6 +284,9 @@ class ChatflowTool extends StructuredTool { await runManager?.handleToolError(e) throw e } + if (result && typeof result !== 'string') { + result = JSON.stringify(result) + } await runManager?.handleToolEnd(result) return result } @@ -260,7 +303,9 @@ class ChatflowTool extends StructuredTool { question: inputQuestion, chatId: this.startNewSession ? uuidv4() : flowConfig?.chatId, overrideConfig: { - sessionId: this.startNewSession ? uuidv4() : flowConfig?.sessionId + sessionId: this.startNewSession ? uuidv4() : flowConfig?.sessionId, + ...(this.overrideConfig ?? {}), + ...(arg.overrideConfig ?? {}) } } @@ -273,7 +318,15 @@ class ChatflowTool extends StructuredTool { body: JSON.stringify(body) } - let sandbox = { $callOptions: options, $callBody: body } + let sandbox = { + $callOptions: options, + $callBody: body, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } const code = ` const fetch = require('node-fetch'); @@ -304,7 +357,10 @@ try { require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(vmOptions) diff --git a/packages/components/nodes/tools/CodeInterpreterE2B/CodeInterpreterE2B.ts b/packages/components/nodes/tools/CodeInterpreterE2B/CodeInterpreterE2B.ts new file mode 100644 index 00000000000..8c3967dc927 --- /dev/null +++ b/packages/components/nodes/tools/CodeInterpreterE2B/CodeInterpreterE2B.ts @@ -0,0 +1,269 @@ +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { StructuredTool, ToolInputParsingException, ToolParams } from '@langchain/core/tools' +import { CodeInterpreter } from '@e2b/code-interpreter' +import { z } from 'zod' +import { addSingleFileToStorage } from '../../../src/storageUtils' +import { CallbackManager, CallbackManagerForToolRun, Callbacks, parseCallbackConfigArg } from '@langchain/core/callbacks/manager' +import { RunnableConfig } from '@langchain/core/runnables' +import { ARTIFACTS_PREFIX } from '../../../src/agents' + +const DESC = `Evaluates python code in a sandbox environment. \ +The environment is long running and exists across multiple executions. \ +You must send the whole script every time and print your outputs. \ +Script should be pure python code that can be evaluated. \ +It should be in python format NOT markdown. \ +The code should NOT be wrapped in backticks. \ +All python packages including requests, matplotlib, scipy, numpy, pandas, \ +etc are available. Create and display chart using "plt.show()".` +const NAME = 'code_interpreter' + +class Code_Interpreter_Tools implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + badge: string + credential: INodeParams + + constructor() { + this.label = 'Code Interpreter by E2B' + this.name = 'codeInterpreterE2B' + this.version = 1.0 + this.type = 'CodeInterpreter' + this.icon = 'e2b.png' + this.category = 'Tools' + this.description = 'Execute code in a sandbox environment' + this.baseClasses = [this.type, 'Tool', ...getBaseClasses(E2BTool)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['E2BApi'], + optional: true + } + this.inputs = [ + { + label: 'Tool Name', + name: 'toolName', + type: 'string', + description: 'Specify the name of the tool', + default: 'code_interpreter' + }, + { + label: 'Tool Description', + name: 'toolDesc', + type: 'string', + rows: 4, + description: 'Specify the description of the tool', + default: DESC + } + ] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const toolDesc = nodeData.inputs?.toolDesc as string + const toolName = nodeData.inputs?.toolName as string + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const e2bApiKey = getCredentialParam('e2bApiKey', credentialData, nodeData) + + return await E2BTool.initialize({ + description: toolDesc ?? DESC, + name: toolName ?? NAME, + apiKey: e2bApiKey, + schema: z.object({ + input: z.string().describe('Python code to be executed in the sandbox environment') + }), + chatflowid: options.chatflowid + }) + } +} + +type E2BToolParams = ToolParams +type E2BToolInput = { + name: string + description: string + apiKey: string + schema: any + chatflowid: string + templateCodeInterpreterE2B?: string + domainCodeInterpreterE2B?: string +} + +export class E2BTool extends StructuredTool { + static lc_name() { + return 'E2BTool' + } + + name = NAME + + description = DESC + + instance: CodeInterpreter + + apiKey: string + + schema + + chatflowid: string + + flowObj: ICommonObject + + templateCodeInterpreterE2B?: string + domainCodeInterpreterE2B?: string + + constructor(options: E2BToolParams & E2BToolInput) { + super(options) + this.description = options.description + this.name = options.name + this.apiKey = options.apiKey + this.schema = options.schema + this.chatflowid = options.chatflowid + this.templateCodeInterpreterE2B = options.templateCodeInterpreterE2B + this.domainCodeInterpreterE2B = options.domainCodeInterpreterE2B + } + + static async initialize(options: Partial & E2BToolInput) { + return new this({ + name: options.name, + description: options.description, + apiKey: options.apiKey, + schema: options.schema, + chatflowid: options.chatflowid, + templateCodeInterpreterE2B: options.templateCodeInterpreterE2B, + domainCodeInterpreterE2B: options.domainCodeInterpreterE2B + }) + } + + async call( + arg: z.infer, + configArg?: RunnableConfig | Callbacks, + tags?: string[], + flowConfig?: { sessionId?: string; chatId?: string; input?: string; state?: ICommonObject } + ): Promise { + const config = parseCallbackConfigArg(configArg) + if (config.runName === undefined) { + config.runName = this.name + } + let parsed + try { + parsed = await this.schema.parseAsync(arg) + } catch (e) { + throw new ToolInputParsingException(`Received tool input did not match expected schema`, JSON.stringify(arg)) + } + const callbackManager_ = await CallbackManager.configure( + config.callbacks, + this.callbacks, + config.tags || tags, + this.tags, + config.metadata, + this.metadata, + { verbose: this.verbose } + ) + const runManager = await callbackManager_?.handleToolStart( + this.toJSON(), + typeof parsed === 'string' ? parsed : JSON.stringify(parsed), + undefined, + undefined, + undefined, + undefined, + config.runName + ) + let result + try { + result = await this._call(parsed, runManager, flowConfig) + } catch (e) { + await runManager?.handleToolError(e) + throw e + } + if (result && typeof result !== 'string') { + result = JSON.stringify(result) + } + await runManager?.handleToolEnd(result) + return result + } + + // @ts-ignore + protected async _call( + arg: z.infer, + _?: CallbackManagerForToolRun, + flowConfig?: { sessionId?: string; chatId?: string; input?: string } + ): Promise { + flowConfig = { ...this.flowObj, ...flowConfig } + try { + if ('input' in arg) { + this.instance = await CodeInterpreter.create({ apiKey: this.apiKey }) + const execution = await this.instance.notebook.execCell(arg?.input) + + const artifacts = [] + for (const result of execution.results) { + for (const key in result) { + if (!(result as any)[key]) continue + + if (key === 'png') { + //@ts-ignore + const pngData = Buffer.from(result.png, 'base64') + + const filename = `artifact_${Date.now()}.png` + + const res = await addSingleFileToStorage( + 'image/png', + pngData, + filename, + this.chatflowid, + flowConfig!.chatId as string + ) + artifacts.push({ type: 'png', data: res }) + } else if (key === 'jpeg') { + //@ts-ignore + const jpegData = Buffer.from(result.jpeg, 'base64') + + const filename = `artifact_${Date.now()}.jpg` + + const res = await addSingleFileToStorage( + 'image/jpg', + jpegData, + filename, + this.chatflowid, + flowConfig!.chatId as string + ) + artifacts.push({ type: 'jpeg', data: res }) + } else if (key === 'html' || key === 'markdown' || key === 'latex' || key === 'json' || key === 'javascript') { + artifacts.push({ type: key, data: (result as any)[key] }) + } //TODO: support for pdf + } + } + + this.instance.close() + + let output = '' + + if (execution.text) output = execution.text + if (!execution.text && execution.logs.stdout.length) output = execution.logs.stdout.join('\n') + + if (execution.error) { + return `${execution.error.name}: ${execution.error.value}` + } + + return artifacts.length > 0 ? output + ARTIFACTS_PREFIX + JSON.stringify(artifacts) : output + } else { + return 'No input provided' + } + } catch (e) { + if (this.instance) this.instance.close() + return typeof e === 'string' ? e : JSON.stringify(e, null, 2) + } + } + + setFlowObject(flowObj: ICommonObject) { + this.flowObj = flowObj + } +} + +module.exports = { nodeClass: Code_Interpreter_Tools } diff --git a/packages/components/nodes/tools/E2B/e2b.png b/packages/components/nodes/tools/CodeInterpreterE2B/e2b.png similarity index 100% rename from packages/components/nodes/tools/E2B/e2b.png rename to packages/components/nodes/tools/CodeInterpreterE2B/e2b.png diff --git a/packages/components/nodes/tools/Composio/Composio.ts b/packages/components/nodes/tools/Composio/Composio.ts new file mode 100644 index 00000000000..e08ad9ac17c --- /dev/null +++ b/packages/components/nodes/tools/Composio/Composio.ts @@ -0,0 +1,235 @@ +import { Tool } from '@langchain/core/tools' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { LangchainToolSet } from 'composio-core' + +class ComposioTool extends Tool { + name = 'composio' + description = 'Tool for interacting with Composio applications and performing actions' + toolset: any + appName: string + actions: string[] + + constructor(toolset: any, appName: string, actions: string[]) { + super() + this.toolset = toolset + this.appName = appName + this.actions = actions + } + + async _call(input: string): Promise { + try { + return `Executed action on ${this.appName} with input: ${input}` + } catch (error) { + return 'Failed to execute action' + } + } +} + +class Composio_Tools implements INode { + label: string + name: string + version: number + type: string + icon: string + category: string + description: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Composio' + this.name = 'composio' + this.version = 2.0 + this.type = 'Composio' + this.icon = 'composio.svg' + this.category = 'Tools' + this.description = 'Toolset with over 250+ Apps for building AI-powered applications' + this.baseClasses = [this.type, ...getBaseClasses(ComposioTool)] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['composioApi'] + } + this.inputs = [ + { + label: 'App Name', + name: 'appName', + type: 'asyncOptions', + loadMethod: 'listApps', + description: 'Select the app to connect with', + refresh: true + }, + { + label: 'Auth Status', + name: 'authStatus', + type: 'asyncOptions', + loadMethod: 'authStatus', + placeholder: 'Connection status will appear here', + refresh: true + }, + { + label: 'Actions to Use', + name: 'actions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + description: 'Select the actions you want to use', + refresh: true + } + ] + } + + //@ts-ignore + loadMethods = { + listApps: async (nodeData: INodeData, options?: ICommonObject): Promise => { + try { + const credentialData = await getCredentialData(nodeData.credential ?? '', options ?? {}) + const composioApiKey = getCredentialParam('composioApi', credentialData, nodeData) + + if (!composioApiKey) { + return [ + { + label: 'API Key Required', + name: 'placeholder', + description: 'Enter Composio API key in the credential field' + } + ] + } + + const toolset = new LangchainToolSet({ apiKey: composioApiKey }) + const apps = await toolset.client.apps.list() + apps.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return apps.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + console.error('Error loading apps:', error) + return [ + { + label: 'Error Loading Apps', + name: 'error', + description: 'Failed to load apps. Please check your API key and try again' + } + ] + } + }, + listActions: async (nodeData: INodeData, options?: ICommonObject): Promise => { + try { + const credentialData = await getCredentialData(nodeData.credential ?? '', options ?? {}) + const composioApiKey = getCredentialParam('composioApi', credentialData, nodeData) + const appName = nodeData.inputs?.appName as string + + if (!composioApiKey) { + return [ + { + label: 'API Key Required', + name: 'placeholder', + description: 'Enter Composio API key in the credential field' + } + ] + } + + if (!appName) { + return [ + { + label: 'Select an App first', + name: 'placeholder', + description: 'Select an app from the dropdown to view available actions' + } + ] + } + + const toolset = new LangchainToolSet({ apiKey: composioApiKey }) + const actions = await toolset.getTools({ apps: [appName] }) + actions.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return actions.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + console.error('Error loading actions:', error) + return [ + { + label: 'Error Loading Actions', + name: 'error', + description: 'Failed to load actions. Please check your API key and try again' + } + ] + } + }, + authStatus: async (nodeData: INodeData, options?: ICommonObject): Promise => { + const credentialData = await getCredentialData(nodeData.credential ?? '', options ?? {}) + const composioApiKey = getCredentialParam('composioApi', credentialData, nodeData) + const appName = nodeData.inputs?.appName as string + + if (!composioApiKey) { + return [ + { + label: 'API Key Required', + name: 'placeholder', + description: 'Enter Composio API key in the credential field' + } + ] + } + + if (!appName) { + return [ + { + label: 'Select an App first', + name: 'placeholder', + description: 'Select an app from the dropdown to view available actions' + } + ] + } + + const toolset = new LangchainToolSet({ apiKey: composioApiKey }) + const authStatus = await toolset.client.getEntity('default').getConnection({ app: appName.toLowerCase() }) + return [ + { + label: authStatus ? 'Connected' : 'Not Connected', + name: authStatus ? 'Connected' : 'Not Connected', + description: authStatus ? 'Selected app has an active connection' : 'Please connect the app on app.composio.dev' + } + ] + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + if (!nodeData.inputs) nodeData.inputs = {} + + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const composioApiKey = getCredentialParam('composioApi', credentialData, nodeData) + + if (!composioApiKey) { + nodeData.inputs = { + appName: undefined, + authStatus: '', + actions: [] + } + throw new Error('API Key Required') + } + + const _actions = nodeData.inputs?.actions + let actions = [] + if (_actions) { + try { + actions = typeof _actions === 'string' ? JSON.parse(_actions) : _actions + } catch (error) { + console.error('Error parsing actions:', error) + } + } + + const toolset = new LangchainToolSet({ apiKey: composioApiKey }) + const tools = await toolset.getTools({ actions }) + return tools + } +} + +module.exports = { nodeClass: Composio_Tools } diff --git a/packages/components/nodes/tools/Composio/composio.svg b/packages/components/nodes/tools/Composio/composio.svg new file mode 100644 index 00000000000..1436d1b822c --- /dev/null +++ b/packages/components/nodes/tools/Composio/composio.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/packages/components/nodes/tools/CurrentDateTime/CurrentDateTime.ts b/packages/components/nodes/tools/CurrentDateTime/CurrentDateTime.ts new file mode 100644 index 00000000000..f65747c4d40 --- /dev/null +++ b/packages/components/nodes/tools/CurrentDateTime/CurrentDateTime.ts @@ -0,0 +1,74 @@ +import { z } from 'zod' +import { INode } from '../../../src/Interface' +import { DynamicStructuredTool } from '../CustomTool/core' + +const code = ` +const now = new Date(); + +// Format date as YYYY-MM-DD +const date = now.toISOString().split('T')[0]; + +// Get time in HH:MM:SS format +const time = now.toTimeString().split(' ')[0]; + +// Get day of week +const days = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']; +const day = days[now.getDay()]; + +// Get timezone information +const timezone = Intl.DateTimeFormat().resolvedOptions().timeZone; +const timezoneOffset = now.getTimezoneOffset(); +const timezoneOffsetHours = Math.abs(Math.floor(timezoneOffset / 60)); +const timezoneOffsetMinutes = Math.abs(timezoneOffset % 60); +const timezoneOffsetFormatted = + (timezoneOffset <= 0 ? '+' : '-') + + timezoneOffsetHours.toString().padStart(2, '0') + ':' + + timezoneOffsetMinutes.toString().padStart(2, '0'); + +return { + date, + time, + day, + timezone, + timezoneOffset: timezoneOffsetFormatted, + iso8601: now.toISOString(), + unix_timestamp: Math.floor(now.getTime() / 1000) +}; +` + +class CurrentDateTime_Tools implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + + constructor() { + this.label = 'CurrentDateTime' + this.name = 'currentDateTime' + this.version = 1.0 + this.type = 'CurrentDateTime' + this.icon = 'currentDateTime.svg' + this.category = 'Tools' + this.description = 'Get todays day, date and time.' + this.baseClasses = [this.type, 'Tool'] + } + + async init(): Promise { + const obj = { + name: 'current_date_time', + description: 'Useful to get current day, date and time.', + schema: z.object({}), + code: code + } + + let dynamicStructuredTool = new DynamicStructuredTool(obj) + + return dynamicStructuredTool + } +} + +module.exports = { nodeClass: CurrentDateTime_Tools } diff --git a/packages/components/nodes/tools/CurrentDateTime/currentDateTime.svg b/packages/components/nodes/tools/CurrentDateTime/currentDateTime.svg new file mode 100644 index 00000000000..929244cf47c --- /dev/null +++ b/packages/components/nodes/tools/CurrentDateTime/currentDateTime.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/tools/CustomTool/CustomTool.ts b/packages/components/nodes/tools/CustomTool/CustomTool.ts index 89fae9fdd5b..284349c46c9 100644 --- a/packages/components/nodes/tools/CustomTool/CustomTool.ts +++ b/packages/components/nodes/tools/CustomTool/CustomTool.ts @@ -18,7 +18,7 @@ class CustomTool_Tools implements INode { constructor() { this.label = 'Custom Tool' this.name = 'customTool' - this.version = 1.0 + this.version = 3.0 this.type = 'CustomTool' this.icon = 'customtool.svg' this.category = 'Tools' @@ -29,6 +29,37 @@ class CustomTool_Tools implements INode { name: 'selectedTool', type: 'asyncOptions', loadMethod: 'listTools' + }, + { + label: 'Return Direct', + name: 'returnDirect', + description: 'Return the output of the tool directly to the user', + type: 'boolean', + optional: true + }, + { + label: 'Custom Tool Name', + name: 'customToolName', + type: 'string', + hidden: true + }, + { + label: 'Custom Tool Description', + name: 'customToolDesc', + type: 'string', + hidden: true + }, + { + label: 'Custom Tool Schema', + name: 'customToolSchema', + type: 'string', + hidden: true + }, + { + label: 'Custom Tool Func', + name: 'customToolFunc', + type: 'string', + hidden: true } ] this.baseClasses = [this.type, 'Tool', ...getBaseClasses(DynamicStructuredTool)] @@ -83,6 +114,7 @@ class CustomTool_Tools implements INode { const customToolName = nodeData.inputs?.customToolName as string const customToolDesc = nodeData.inputs?.customToolDesc as string const customToolSchema = nodeData.inputs?.customToolSchema as string + const customToolReturnDirect = nodeData.inputs?.returnDirect as boolean const appDataSource = options.appDataSource as DataSource const databaseEntities = options.databaseEntities as IDatabaseEntity @@ -134,6 +166,7 @@ class CustomTool_Tools implements INode { let dynamicStructuredTool = new DynamicStructuredTool(obj) dynamicStructuredTool.setVariables(variables) dynamicStructuredTool.setFlowObject(flow) + dynamicStructuredTool.returnDirect = customToolReturnDirect return dynamicStructuredTool } catch (e) { diff --git a/packages/components/nodes/tools/CustomTool/core.ts b/packages/components/nodes/tools/CustomTool/core.ts index 3e032579c96..e64f776b8b3 100644 --- a/packages/components/nodes/tools/CustomTool/core.ts +++ b/packages/components/nodes/tools/CustomTool/core.ts @@ -1,5 +1,5 @@ import { z } from 'zod' -import { NodeVM } from 'vm2' +import { NodeVM } from '@flowiseai/nodevm' import { RunnableConfig } from '@langchain/core/runnables' import { StructuredTool, ToolParams } from '@langchain/core/tools' import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager' @@ -111,7 +111,13 @@ export class DynamicStructuredTool< _?: CallbackManagerForToolRun, flowConfig?: { sessionId?: string; chatId?: string; input?: string; state?: ICommonObject } ): Promise { - let sandbox: any = {} + let sandbox: any = { + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } if (typeof arg === 'object' && Object.keys(arg).length) { for (const item in arg) { sandbox[`$${item}`] = arg[item] @@ -137,7 +143,10 @@ export class DynamicStructuredTool< require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(options) diff --git a/packages/components/nodes/tools/E2B/E2B.ts b/packages/components/nodes/tools/E2B/E2B.ts deleted file mode 100644 index 9954e4bd20d..00000000000 --- a/packages/components/nodes/tools/E2B/E2B.ts +++ /dev/null @@ -1,151 +0,0 @@ -/* -* TODO: Implement codeInterpreter column to chat_message table -import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { StructuredTool, ToolParams } from '@langchain/core/tools' -import { CodeInterpreter } from '@e2b/code-interpreter' -import { z } from 'zod' - -const DESC = `Evaluates python code in a sandbox environment. \ -The environment is long running and exists across multiple executions. \ -You must send the whole script every time and print your outputs. \ -Script should be pure python code that can be evaluated. \ -It should be in python format NOT markdown. \ -The code should NOT be wrapped in backticks. \ -All python packages including requests, matplotlib, scipy, numpy, pandas, \ -etc are available. Create and display chart using "plt.show()".` -const NAME = 'code_interpreter' - -class E2B_Tools implements INode { - label: string - name: string - version: number - description: string - type: string - icon: string - category: string - baseClasses: string[] - inputs: INodeParams[] - badge: string - credential: INodeParams - - constructor() { - this.label = 'E2B' - this.name = 'e2b' - this.version = 1.0 - this.type = 'E2B' - this.icon = 'e2b.png' - this.category = 'Tools' - this.description = 'Execute code in E2B Code Intepreter' - this.baseClasses = [this.type, 'Tool', ...getBaseClasses(E2BTool)] - this.credential = { - label: 'Connect Credential', - name: 'credential', - type: 'credential', - credentialNames: ['E2BApi'] - } - this.inputs = [ - { - label: 'Tool Name', - name: 'toolName', - type: 'string', - description: 'Specify the name of the tool', - default: 'code_interpreter' - }, - { - label: 'Tool Description', - name: 'toolDesc', - type: 'string', - rows: 4, - description: 'Specify the description of the tool', - default: DESC - } - ] - } - - async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const toolDesc = nodeData.inputs?.toolDesc as string - const toolName = nodeData.inputs?.toolName as string - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const e2bApiKey = getCredentialParam('e2bApiKey', credentialData, nodeData) - const socketIO = options.socketIO - const socketIOClientId = options.socketIOClientId - - return await E2BTool.initialize({ - description: toolDesc ?? DESC, - name: toolName ?? NAME, - apiKey: e2bApiKey, - schema: z.object({ - input: z.string().describe('Python code to be executed in the sandbox environment') - }), - socketIO, - socketIOClientId - }) - } -} - -type E2BToolParams = ToolParams & { instance: CodeInterpreter } - -export class E2BTool extends StructuredTool { - static lc_name() { - return 'E2BTool' - } - - name = NAME - - description = DESC - - instance: CodeInterpreter - - apiKey: string - - schema - - socketIO - - socketIOClientId = '' - - constructor(options: E2BToolParams & { name: string; description: string, apiKey: string, schema: any, socketIO: any, socketIOClientId: string}) { - super(options) - this.instance = options.instance - this.description = options.description - this.name = options.name - this.apiKey = options.apiKey - this.schema = options.schema - this.returnDirect = true - this.socketIO = options.socketIO - this.socketIOClientId = options.socketIOClientId - } - - static async initialize(options: Partial & { name: string; description: string, apiKey: string, schema: any, socketIO: any, socketIOClientId: string }) { - const instance = await CodeInterpreter.create({ apiKey: options.apiKey }) - return new this({ instance, name: options.name, description: options.description, apiKey: options.apiKey, schema: options.schema, socketIO: options.socketIO, socketIOClientId: options.socketIOClientId}) - } - - async _call(args: any) { - try { - if ('input' in args) { - const execution = await this.instance.notebook.execCell(args?.input) - let imgHTML = '' - for (const result of execution.results) { - if (result.png) { - imgHTML += `\n\nimage
` - } - if (result.jpeg) { - imgHTML += `\n\nimage
` - } - } - const output = execution.text ? execution.text + imgHTML : imgHTML - if (this.socketIO && this.socketIOClientId) this.socketIO.to(this.socketIOClientId).emit('token', output) - return output - } else { - return 'No input provided' - } - } catch (e) { - return typeof e === 'string' ? e : JSON.stringify(e, null, 2) - } - } -} - -module.exports = { nodeClass: E2B_Tools } -*/ diff --git a/packages/components/nodes/tools/ExaSearch/ExaSearch.ts b/packages/components/nodes/tools/ExaSearch/ExaSearch.ts index 9cfafadee7e..532ea77b1a7 100644 --- a/packages/components/nodes/tools/ExaSearch/ExaSearch.ts +++ b/packages/components/nodes/tools/ExaSearch/ExaSearch.ts @@ -20,7 +20,7 @@ class ExaSearch_Tools implements INode { constructor() { this.label = 'Exa Search' this.name = 'exaSearch' - this.version = 1.0 + this.version = 1.1 this.type = 'ExaSearch' this.icon = 'exa.svg' this.category = 'Tools' @@ -58,8 +58,8 @@ class ExaSearch_Tools implements INode { name: 'neural' }, { - label: 'magic', - name: 'magic', + label: 'auto', + name: 'auto', description: 'decides between keyword and neural' } ], @@ -116,6 +116,14 @@ class ExaSearch_Tools implements INode { { label: 'personal site', name: 'personal site' + }, + { + label: 'linkedin profile', + name: 'linkedin profile' + }, + { + label: 'financial report', + name: 'financial report' } ], optional: true, @@ -192,7 +200,7 @@ class ExaSearch_Tools implements INode { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const description = nodeData.inputs?.description as string const numResults = nodeData.inputs?.numResults as string - const type = nodeData.inputs?.type as string + const type = nodeData.inputs?.type as 'keyword' | 'neural' | 'auto' | undefined const useAutoprompt = nodeData.inputs?.useAutoprompt as boolean const category = nodeData.inputs?.category as string const includeDomains = nodeData.inputs?.includeDomains as string @@ -211,7 +219,7 @@ class ExaSearch_Tools implements INode { numResults: numResults ? parseFloat(numResults) : undefined, type: type || undefined, useAutoprompt: useAutoprompt || undefined, - category: category || undefined, + category: (category as any) || undefined, includeDomains: includeDomains ? includeDomains.split(',') : undefined, excludeDomains: excludeDomains ? excludeDomains.split(',') : undefined, startCrawlDate: startCrawlDate || undefined, diff --git a/packages/components/nodes/tools/MCP/BraveSearch/BraveSearchMCP.ts b/packages/components/nodes/tools/MCP/BraveSearch/BraveSearchMCP.ts new file mode 100644 index 00000000000..9d5ccd39fdb --- /dev/null +++ b/packages/components/nodes/tools/MCP/BraveSearch/BraveSearchMCP.ts @@ -0,0 +1,108 @@ +import { Tool } from '@langchain/core/tools' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../../src/Interface' +import { getCredentialData, getCredentialParam, getNodeModulesPackagePath } from '../../../../src/utils' +import { MCPToolkit } from '../core' + +class BraveSearch_MCP implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + documentation: string + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Brave Search MCP' + this.name = 'braveSearchMCP' + this.version = 1.0 + this.type = 'BraveSearch MCP Tool' + this.icon = 'brave.svg' + this.category = 'Tools (MCP)' + this.description = 'MCP server that integrates the Brave Search API - a real-time API to access web search capabilities' + this.documentation = 'https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search' + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['braveSearchApi'] + } + this.inputs = [ + { + label: 'Available Actions', + name: 'mcpActions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + refresh: true + } + ] + this.baseClasses = ['Tool'] + } + + //@ts-ignore + loadMethods = { + listActions: async (nodeData: INodeData, options: ICommonObject): Promise => { + try { + const toolset = await this.getTools(nodeData, options) + toolset.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return toolset.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + return [ + { + label: 'No Available Actions', + name: 'error', + description: 'No available actions, please check your API key and refresh' + } + ] + } + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const tools = await this.getTools(nodeData, options) + + const _mcpActions = nodeData.inputs?.mcpActions + let mcpActions = [] + if (_mcpActions) { + try { + mcpActions = typeof _mcpActions === 'string' ? JSON.parse(_mcpActions) : _mcpActions + } catch (error) { + console.error('Error parsing mcp actions:', error) + } + } + + return tools.filter((tool: any) => mcpActions.includes(tool.name)) + } + + async getTools(nodeData: INodeData, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const braveApiKey = getCredentialParam('braveApiKey', credentialData, nodeData) + const packagePath = getNodeModulesPackagePath('@modelcontextprotocol/server-brave-search/dist/index.js') + + const serverParams = { + command: 'node', + args: [packagePath], + env: { + BRAVE_API_KEY: braveApiKey + } + } + + const toolkit = new MCPToolkit(serverParams, 'stdio') + await toolkit.initialize() + + const tools = toolkit.tools ?? [] + + return tools as Tool[] + } +} + +module.exports = { nodeClass: BraveSearch_MCP } diff --git a/packages/components/nodes/tools/MCP/BraveSearch/brave.svg b/packages/components/nodes/tools/MCP/BraveSearch/brave.svg new file mode 100644 index 00000000000..b1e233577b7 --- /dev/null +++ b/packages/components/nodes/tools/MCP/BraveSearch/brave.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/packages/components/nodes/tools/MCP/CustomMCP/CustomMCP.ts b/packages/components/nodes/tools/MCP/CustomMCP/CustomMCP.ts new file mode 100644 index 00000000000..548c595ecbf --- /dev/null +++ b/packages/components/nodes/tools/MCP/CustomMCP/CustomMCP.ts @@ -0,0 +1,129 @@ +import { Tool } from '@langchain/core/tools' +import { INode, INodeData, INodeOptionsValue, INodeParams } from '../../../../src/Interface' +import { MCPToolkit } from '../core' + +const mcpServerConfig = `{ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"] +}` + +class Custom_MCP implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + documentation: string + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Custom MCP' + this.name = 'customMCP' + this.version = 1.0 + this.type = 'Custom MCP Tool' + this.icon = 'customMCP.png' + this.category = 'Tools (MCP)' + this.description = 'Custom MCP Config' + this.documentation = 'https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search' + this.inputs = [ + { + label: 'MCP Server Config', + name: 'mcpServerConfig', + type: 'code', + hideCodeExecute: true, + placeholder: mcpServerConfig + }, + { + label: 'Available Actions', + name: 'mcpActions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + refresh: true + } + ] + this.baseClasses = ['Tool'] + } + + //@ts-ignore + loadMethods = { + listActions: async (nodeData: INodeData): Promise => { + try { + const toolset = await this.getTools(nodeData) + toolset.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return toolset.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + return [ + { + label: 'No Available Actions', + name: 'error', + description: 'No available actions, please check your API key and refresh' + } + ] + } + } + } + + async init(nodeData: INodeData): Promise { + const tools = await this.getTools(nodeData) + + const _mcpActions = nodeData.inputs?.mcpActions + let mcpActions = [] + if (_mcpActions) { + try { + mcpActions = typeof _mcpActions === 'string' ? JSON.parse(_mcpActions) : _mcpActions + } catch (error) { + console.error('Error parsing mcp actions:', error) + } + } + + return tools.filter((tool: any) => mcpActions.includes(tool.name)) + } + + async getTools(nodeData: INodeData): Promise { + const mcpServerConfig = nodeData.inputs?.mcpServerConfig as string + + if (!mcpServerConfig) { + throw new Error('MCP Server Config is required') + } + + try { + let serverParams + if (typeof mcpServerConfig === 'object') { + serverParams = mcpServerConfig + } else if (typeof mcpServerConfig === 'string') { + const serverParamsString = convertToValidJSONString(mcpServerConfig) + serverParams = JSON.parse(serverParamsString) + } + + const toolkit = new MCPToolkit(serverParams, 'stdio') + await toolkit.initialize() + + const tools = toolkit.tools ?? [] + + return tools as Tool[] + } catch (error) { + throw new Error(`Invalid MCP Server Config: ${error}`) + } + } +} + +function convertToValidJSONString(inputString: string) { + try { + const jsObject = Function('return ' + inputString)() + return JSON.stringify(jsObject, null, 2) + } catch (error) { + console.error('Error converting to JSON:', error) + return '' + } +} + +module.exports = { nodeClass: Custom_MCP } diff --git a/packages/components/nodes/tools/MCP/CustomMCP/customMCP.png b/packages/components/nodes/tools/MCP/CustomMCP/customMCP.png new file mode 100644 index 00000000000..6950234610a Binary files /dev/null and b/packages/components/nodes/tools/MCP/CustomMCP/customMCP.png differ diff --git a/packages/components/nodes/tools/MCP/Github/GithubMCP.ts b/packages/components/nodes/tools/MCP/Github/GithubMCP.ts new file mode 100644 index 00000000000..f0beafe95b1 --- /dev/null +++ b/packages/components/nodes/tools/MCP/Github/GithubMCP.ts @@ -0,0 +1,114 @@ +import { Tool } from '@langchain/core/tools' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../../src/Interface' +import { getCredentialData, getCredentialParam, getNodeModulesPackagePath } from '../../../../src/utils' +import { MCPToolkit } from '../core' + +class Github_MCP implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + documentation: string + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Github MCP' + this.name = 'githubMCP' + this.version = 1.0 + this.type = 'Github MCP Tool' + this.icon = 'github.svg' + this.category = 'Tools (MCP)' + this.description = 'MCP Server for the GitHub API' + this.documentation = 'https://github.com/modelcontextprotocol/servers/tree/main/src/github' + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['githubApi'] + } + this.inputs = [ + { + label: 'Available Actions', + name: 'mcpActions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + refresh: true + } + ] + this.baseClasses = ['Tool'] + } + + //@ts-ignore + loadMethods = { + listActions: async (nodeData: INodeData, options: ICommonObject): Promise => { + try { + const toolset = await this.getTools(nodeData, options) + toolset.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return toolset.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + console.error('Error listing actions:', error) + return [ + { + label: 'No Available Actions', + name: 'error', + description: 'No available actions, please check your Github Access Token and refresh' + } + ] + } + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const tools = await this.getTools(nodeData, options) + + const _mcpActions = nodeData.inputs?.mcpActions + let mcpActions = [] + if (_mcpActions) { + try { + mcpActions = typeof _mcpActions === 'string' ? JSON.parse(_mcpActions) : _mcpActions + } catch (error) { + console.error('Error parsing mcp actions:', error) + } + } + + return tools.filter((tool: any) => mcpActions.includes(tool.name)) + } + + async getTools(nodeData: INodeData, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const accessToken = getCredentialParam('accessToken', credentialData, nodeData) + + if (!accessToken) { + throw new Error('Missing Github Access Token') + } + + const packagePath = getNodeModulesPackagePath('@modelcontextprotocol/server-github/dist/index.js') + + const serverParams = { + command: 'node', + args: [packagePath], + env: { + GITHUB_PERSONAL_ACCESS_TOKEN: accessToken + } + } + + const toolkit = new MCPToolkit(serverParams, 'stdio') + await toolkit.initialize() + + const tools = toolkit.tools ?? [] + + return tools as Tool[] + } +} + +module.exports = { nodeClass: Github_MCP } diff --git a/packages/components/nodes/tools/MCP/Github/github.svg b/packages/components/nodes/tools/MCP/Github/github.svg new file mode 100644 index 00000000000..01f228d108b --- /dev/null +++ b/packages/components/nodes/tools/MCP/Github/github.svg @@ -0,0 +1,13 @@ + + + + + + + + + + + + + diff --git a/packages/components/nodes/tools/MCP/PostgreSQL/PostgreSQLMCP.ts b/packages/components/nodes/tools/MCP/PostgreSQL/PostgreSQLMCP.ts new file mode 100644 index 00000000000..d9fc0418d40 --- /dev/null +++ b/packages/components/nodes/tools/MCP/PostgreSQL/PostgreSQLMCP.ts @@ -0,0 +1,111 @@ +import { Tool } from '@langchain/core/tools' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../../src/Interface' +import { getCredentialData, getCredentialParam, getNodeModulesPackagePath } from '../../../../src/utils' +import { MCPToolkit } from '../core' + +class PostgreSQL_MCP implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + credential: INodeParams + documentation: string + inputs: INodeParams[] + + constructor() { + this.label = 'PostgreSQL MCP' + this.name = 'postgreSQLMCP' + this.version = 1.0 + this.type = 'PostgreSQL MCP Tool' + this.icon = 'postgres.svg' + this.category = 'Tools (MCP)' + this.description = 'MCP server that provides read-only access to PostgreSQL databases' + this.documentation = 'https://github.com/modelcontextprotocol/servers/tree/main/src/postgres' + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['PostgresUrl'] + } + this.inputs = [ + { + label: 'Available Actions', + name: 'mcpActions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + refresh: true + } + ] + this.baseClasses = ['Tool'] + } + + //@ts-ignore + loadMethods = { + listActions: async (nodeData: INodeData, options: ICommonObject): Promise => { + try { + const toolset = await this.getTools(nodeData, options) + toolset.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return toolset.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + console.error('Error listing actions:', error) + return [ + { + label: 'No Available Actions', + name: 'error', + description: 'No available actions, please check your postgres url and refresh' + } + ] + } + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const tools = await this.getTools(nodeData, options) + + const _mcpActions = nodeData.inputs?.mcpActions + let mcpActions = [] + if (_mcpActions) { + try { + mcpActions = typeof _mcpActions === 'string' ? JSON.parse(_mcpActions) : _mcpActions + } catch (error) { + console.error('Error parsing mcp actions:', error) + } + } + + return tools.filter((tool: any) => mcpActions.includes(tool.name)) + } + + async getTools(nodeData: INodeData, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const postgresUrl = getCredentialParam('postgresUrl', credentialData, nodeData) + + if (!postgresUrl) { + throw new Error('No postgres url provided') + } + + const packagePath = getNodeModulesPackagePath('@modelcontextprotocol/server-postgres/dist/index.js') + + const serverParams = { + command: 'node', + args: [packagePath, postgresUrl] + } + + const toolkit = new MCPToolkit(serverParams, 'stdio') + await toolkit.initialize() + + const tools = toolkit.tools ?? [] + + return tools as Tool[] + } +} + +module.exports = { nodeClass: PostgreSQL_MCP } diff --git a/packages/components/nodes/tools/MCP/PostgreSQL/postgres.svg b/packages/components/nodes/tools/MCP/PostgreSQL/postgres.svg new file mode 100644 index 00000000000..f631e7a842c --- /dev/null +++ b/packages/components/nodes/tools/MCP/PostgreSQL/postgres.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/tools/MCP/Slack/SlackMCP.ts b/packages/components/nodes/tools/MCP/Slack/SlackMCP.ts new file mode 100644 index 00000000000..af3068207cb --- /dev/null +++ b/packages/components/nodes/tools/MCP/Slack/SlackMCP.ts @@ -0,0 +1,116 @@ +import { Tool } from '@langchain/core/tools' +import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../../src/Interface' +import { getCredentialData, getCredentialParam, getNodeModulesPackagePath } from '../../../../src/utils' +import { MCPToolkit } from '../core' + +class Slack_MCP implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + documentation: string + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Slack MCP' + this.name = 'slackMCP' + this.version = 1.0 + this.type = 'Slack MCP Tool' + this.icon = 'slack.svg' + this.category = 'Tools (MCP)' + this.description = 'MCP Server for the Slack API' + this.documentation = 'https://github.com/modelcontextprotocol/servers/tree/main/src/slack' + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['slackApi'] + } + this.inputs = [ + { + label: 'Available Actions', + name: 'mcpActions', + type: 'asyncMultiOptions', + loadMethod: 'listActions', + refresh: true + } + ] + this.baseClasses = ['Tool'] + } + + //@ts-ignore + loadMethods = { + listActions: async (nodeData: INodeData, options: ICommonObject): Promise => { + try { + const toolset = await this.getTools(nodeData, options) + toolset.sort((a: any, b: any) => a.name.localeCompare(b.name)) + + return toolset.map(({ name, ...rest }) => ({ + label: name.toUpperCase(), + name: name, + description: rest.description || name + })) + } catch (error) { + console.error('Error listing actions:', error) + return [ + { + label: 'No Available Actions', + name: 'error', + description: 'No available actions, please check your Slack Bot Token and refresh' + } + ] + } + } + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const tools = await this.getTools(nodeData, options) + + const _mcpActions = nodeData.inputs?.mcpActions + let mcpActions = [] + if (_mcpActions) { + try { + mcpActions = typeof _mcpActions === 'string' ? JSON.parse(_mcpActions) : _mcpActions + } catch (error) { + console.error('Error parsing mcp actions:', error) + } + } + + return tools.filter((tool: any) => mcpActions.includes(tool.name)) + } + + async getTools(nodeData: INodeData, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const botToken = getCredentialParam('botToken', credentialData, nodeData) + const teamId = getCredentialParam('teamId', credentialData, nodeData) + + if (!botToken || !teamId) { + throw new Error('Missing Credentials') + } + + const packagePath = getNodeModulesPackagePath('@modelcontextprotocol/server-slack/dist/index.js') + + const serverParams = { + command: 'node', + args: [packagePath], + env: { + SLACK_BOT_TOKEN: botToken, + SLACK_TEAM_ID: teamId + } + } + + const toolkit = new MCPToolkit(serverParams, 'stdio') + await toolkit.initialize() + + const tools = toolkit.tools ?? [] + + return tools as Tool[] + } +} + +module.exports = { nodeClass: Slack_MCP } diff --git a/packages/components/nodes/tools/MCP/Slack/slack.svg b/packages/components/nodes/tools/MCP/Slack/slack.svg new file mode 100644 index 00000000000..69a4eb6a217 --- /dev/null +++ b/packages/components/nodes/tools/MCP/Slack/slack.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/tools/MCP/core.ts b/packages/components/nodes/tools/MCP/core.ts new file mode 100644 index 00000000000..235f9d50f28 --- /dev/null +++ b/packages/components/nodes/tools/MCP/core.ts @@ -0,0 +1,104 @@ +import { CallToolRequest, CallToolResultSchema, ListToolsResult, ListToolsResultSchema } from '@modelcontextprotocol/sdk/types.js' +import { Client } from '@modelcontextprotocol/sdk/client/index.js' +import { StdioClientTransport, StdioServerParameters } from '@modelcontextprotocol/sdk/client/stdio.js' +import { BaseToolkit, tool, Tool } from '@langchain/core/tools' +import { z } from 'zod' + +export class MCPToolkit extends BaseToolkit { + tools: Tool[] = [] + _tools: ListToolsResult | null = null + model_config: any + transport: StdioClientTransport | null = null + client: Client | null = null + constructor(serverParams: StdioServerParameters | any, transport: 'stdio' | 'sse') { + super() + if (transport === 'stdio') { + this.transport = new StdioClientTransport(serverParams as StdioServerParameters) + } else { + // TODO: this.transport = new SSEClientTransport(serverParams.url); + } + } + async initialize() { + if (this._tools === null) { + this.client = new Client( + { + name: 'flowise-client', + version: '1.0.0' + }, + { + capabilities: {} + } + ) + if (this.transport === null) { + throw new Error('Transport is not initialized') + } + await this.client.connect(this.transport) + this._tools = await this.client.request({ method: 'tools/list' }, ListToolsResultSchema) + + this.tools = await this.get_tools() + } + } + + async get_tools(): Promise { + if (this._tools === null || this.client === null) { + throw new Error('Must initialize the toolkit first') + } + const toolsPromises = this._tools.tools.map(async (tool: any) => { + if (this.client === null) { + throw new Error('Client is not initialized') + } + return await MCPTool({ + client: this.client, + name: tool.name, + description: tool.description || '', + argsSchema: createSchemaModel(tool.inputSchema) + }) + }) + return Promise.all(toolsPromises) + } +} + +export async function MCPTool({ + client, + name, + description, + argsSchema +}: { + client: Client + name: string + description: string + argsSchema: any +}): Promise { + return tool( + async (input): Promise => { + const req: CallToolRequest = { method: 'tools/call', params: { name: name, arguments: input } } + const res = await client.request(req, CallToolResultSchema) + const content = res.content + const contentString = JSON.stringify(content) + return contentString + }, + { + name: name, + description: description, + schema: argsSchema + } + ) +} + +function createSchemaModel( + inputSchema: { + type: 'object' + properties?: import('zod').objectOutputType<{}, import('zod').ZodTypeAny, 'passthrough'> | undefined + } & { [k: string]: unknown } +): any { + if (inputSchema.type !== 'object' || !inputSchema.properties) { + throw new Error('Invalid schema type or missing properties') + } + + const schemaProperties = Object.entries(inputSchema.properties).reduce((acc, [key, _]) => { + acc[key] = z.any() + return acc + }, {} as Record) + + return z.object(schemaProperties) +} diff --git a/packages/components/nodes/tools/OpenAPIToolkit/OpenAPIToolkit.ts b/packages/components/nodes/tools/OpenAPIToolkit/OpenAPIToolkit.ts index a958b09bb83..d44f5f103f9 100644 --- a/packages/components/nodes/tools/OpenAPIToolkit/OpenAPIToolkit.ts +++ b/packages/components/nodes/tools/OpenAPIToolkit/OpenAPIToolkit.ts @@ -1,9 +1,10 @@ import { load } from 'js-yaml' -import { BaseLanguageModel } from '@langchain/core/language_models/base' -import { OpenApiToolkit } from 'langchain/agents' -import { JsonSpec, JsonObject } from './core' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' -import { getCredentialData, getCredentialParam, getFileFromStorage } from '../../../src' +import { getFileFromStorage, getVars, IDatabaseEntity, IVariable } from '../../../src' +import $RefParser from '@apidevtools/json-schema-ref-parser' +import { z, ZodSchema, ZodTypeAny } from 'zod' +import { defaultCode, DynamicStructuredTool, howToUseCode } from './core' +import { DataSource } from 'typeorm' class OpenAPIToolkit_Tools implements INode { label: string @@ -20,69 +21,306 @@ class OpenAPIToolkit_Tools implements INode { constructor() { this.label = 'OpenAPI Toolkit' this.name = 'openAPIToolkit' - this.version = 1.0 + this.version = 2.0 this.type = 'OpenAPIToolkit' this.icon = 'openapi.svg' this.category = 'Tools' - this.description = 'Load OpenAPI specification' - this.credential = { - label: 'Connect Credential', - name: 'credential', - type: 'credential', - description: 'Only needed if the YAML OpenAPI Spec requires authentication', - optional: true, - credentialNames: ['openAPIAuth'] - } + this.description = 'Load OpenAPI specification, and converts each API endpoint to a tool' this.inputs = [ - { - label: 'Language Model', - name: 'model', - type: 'BaseLanguageModel' - }, { label: 'YAML File', name: 'yamlFile', type: 'file', fileType: '.yaml' + }, + { + label: 'Return Direct', + name: 'returnDirect', + description: 'Return the output of the tool directly to the user', + type: 'boolean', + optional: true + }, + { + label: 'Headers', + name: 'headers', + type: 'json', + description: 'Request headers to be sent with the API request. For example, {"Authorization": "Bearer token"}', + additionalParams: true, + optional: true + }, + { + label: 'Remove null parameters', + name: 'removeNulls', + type: 'boolean', + optional: true, + description: 'Remove all keys with null values from the parsed arguments' + }, + { + label: 'Custom Code', + name: 'customCode', + type: 'code', + hint: { + label: 'How to use', + value: howToUseCode + }, + codeExample: defaultCode, + description: `Custom code to return the output of the tool. The code should be a function that takes in the input and returns a string`, + hideCodeExecute: true, + default: defaultCode, + additionalParams: true } ] this.baseClasses = [this.type, 'Tool'] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const model = nodeData.inputs?.model as BaseLanguageModel + const toolReturnDirect = nodeData.inputs?.returnDirect as boolean const yamlFileBase64 = nodeData.inputs?.yamlFile as string + const customCode = nodeData.inputs?.customCode as string + const _headers = nodeData.inputs?.headers as string + const removeNulls = nodeData.inputs?.removeNulls as boolean - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const openAPIToken = getCredentialParam('openAPIToken', credentialData, nodeData) + const headers = typeof _headers === 'object' ? _headers : _headers ? JSON.parse(_headers) : {} - let data: JsonObject + let data if (yamlFileBase64.startsWith('FILE-STORAGE::')) { const file = yamlFileBase64.replace('FILE-STORAGE::', '') const chatflowid = options.chatflowid const fileData = await getFileFromStorage(file, chatflowid) const utf8String = fileData.toString('utf-8') - data = load(utf8String) as JsonObject + data = load(utf8String) } else { const splitDataURI = yamlFileBase64.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') const utf8String = bf.toString('utf-8') - data = load(utf8String) as JsonObject + data = load(utf8String) } if (!data) { throw new Error('Failed to load OpenAPI spec') } - const headers: ICommonObject = { - 'Content-Type': 'application/json' + const _data: any = await $RefParser.dereference(data) + + const baseUrl = _data.servers[0]?.url + if (!baseUrl) { + throw new Error('OpenAPI spec does not contain a server URL') } - if (openAPIToken) headers.Authorization = `Bearer ${openAPIToken}` - const toolkit = new OpenApiToolkit(new JsonSpec(data), model, headers) - return toolkit.tools + const appDataSource = options.appDataSource as DataSource + const databaseEntities = options.databaseEntities as IDatabaseEntity + const variables = await getVars(appDataSource, databaseEntities, nodeData) + + const flow = { chatflowId: options.chatflowid } + + const tools = getTools(_data.paths, baseUrl, headers, variables, flow, toolReturnDirect, customCode, removeNulls) + return tools + } +} + +const jsonSchemaToZodSchema = (schema: any, requiredList: string[], keyName: string): ZodSchema => { + if (schema.properties) { + // Handle object types by recursively processing properties + const zodShape: Record = {} + for (const key in schema.properties) { + zodShape[key] = jsonSchemaToZodSchema(schema.properties[key], requiredList, key) + } + return z.object(zodShape) + } else if (schema.oneOf || schema.anyOf) { + // Handle oneOf/anyOf by mapping each option to a Zod schema + const schemas = schema.oneOf || schema.anyOf + const zodSchemas = schemas.map((subSchema: any) => jsonSchemaToZodSchema(subSchema, requiredList, keyName)) + return z.union(zodSchemas).describe(schema?.description ?? schema?.title ?? keyName) + } else if (schema.enum) { + // Handle enum types with their title and description + return requiredList.includes(keyName) + ? z.enum(schema.enum).describe(schema?.description ?? schema?.title ?? keyName) + : z + .enum(schema.enum) + .describe(schema?.description ?? schema?.title ?? keyName) + .optional() + } else if (schema.type === 'string') { + return requiredList.includes(keyName) + ? z.string({ required_error: `${keyName} required` }).describe(schema?.description ?? keyName) + : z + .string() + .describe(schema?.description ?? keyName) + .optional() + } else if (schema.type === 'array') { + return z.array(jsonSchemaToZodSchema(schema.items, requiredList, keyName)) + } else if (schema.type === 'boolean') { + return requiredList.includes(keyName) + ? z.boolean({ required_error: `${keyName} required` }).describe(schema?.description ?? keyName) + : z + .boolean() + .describe(schema?.description ?? keyName) + .optional() + } else if (schema.type === 'number') { + let numberSchema = z.number() + if (typeof schema.minimum === 'number') { + numberSchema = numberSchema.min(schema.minimum) + } + if (typeof schema.maximum === 'number') { + numberSchema = numberSchema.max(schema.maximum) + } + return requiredList.includes(keyName) + ? numberSchema.describe(schema?.description ?? keyName) + : numberSchema.describe(schema?.description ?? keyName).optional() + } else if (schema.type === 'integer') { + let numberSchema = z.number().int() + return requiredList.includes(keyName) + ? numberSchema.describe(schema?.description ?? keyName) + : numberSchema.describe(schema?.description ?? keyName).optional() + } else if (schema.type === 'null') { + return z.null() + } + console.error(`jsonSchemaToZodSchema returns UNKNOWN! ${keyName}`, schema) + // Fallback to unknown type if unrecognized + return z.unknown() +} + +const extractParameters = (param: ICommonObject, paramZodObj: ICommonObject) => { + const paramSchema = param.schema + const paramName = param.name + const paramDesc = paramSchema.description || paramSchema.title || param.description || param.name + + if (paramSchema.enum) { + const enumValues = paramSchema.enum as string[] + // Combine title and description from schema + const enumDesc = [paramSchema.title, paramSchema.description, `Valid values: ${enumValues.join(', ')}`].filter(Boolean).join('. ') + + if (param.required) { + paramZodObj[paramName] = z.enum(enumValues as [string, ...string[]]).describe(enumDesc) + } else { + paramZodObj[paramName] = z + .enum(enumValues as [string, ...string[]]) + .describe(enumDesc) + .optional() + } + return paramZodObj + } else if (paramSchema.type === 'string') { + if (param.required) { + paramZodObj[paramName] = z.string({ required_error: `${paramName} required` }).describe(paramDesc) + } else { + paramZodObj[paramName] = z.string().describe(paramDesc).optional() + } + } else if (paramSchema.type === 'number') { + if (param.required) { + paramZodObj[paramName] = z.number({ required_error: `${paramName} required` }).describe(paramDesc) + } else { + paramZodObj[paramName] = z.number().describe(paramDesc).optional() + } + } else if (paramSchema.type === 'boolean') { + if (param.required) { + paramZodObj[paramName] = z.boolean({ required_error: `${paramName} required` }).describe(paramDesc) + } else { + paramZodObj[paramName] = z.boolean().describe(paramDesc).optional() + } + } else if (paramSchema.anyOf || paramSchema.type === 'anyOf') { + // Handle anyOf by using jsonSchemaToZodSchema + const requiredList = param.required ? [paramName] : [] + paramZodObj[paramName] = jsonSchemaToZodSchema(paramSchema, requiredList, paramName) + } + + return paramZodObj +} + +const getTools = ( + paths: any[], + baseUrl: string, + headers: ICommonObject, + variables: IVariable[], + flow: ICommonObject, + returnDirect: boolean, + customCode?: string, + removeNulls?: boolean +) => { + const tools = [] + for (const path in paths) { + // example of path: "/engines" + const methods = paths[path] + for (const method in methods) { + // example of method: "get" + const spec = methods[method] + const toolName = spec.operationId + const toolDesc = spec.description || spec.summary || toolName + + let zodObj: ICommonObject = {} + if (spec.parameters) { + // Get parameters with in = path + let paramZodObjPath: ICommonObject = {} + for (const param of spec.parameters.filter((param: any) => param.in === 'path')) { + paramZodObjPath = extractParameters(param, paramZodObjPath) + } + + // Get parameters with in = query + let paramZodObjQuery: ICommonObject = {} + for (const param of spec.parameters.filter((param: any) => param.in === 'query')) { + paramZodObjQuery = extractParameters(param, paramZodObjQuery) + } + + // Combine path and query parameters + zodObj = { + ...zodObj, + PathParameters: z.object(paramZodObjPath), + QueryParameters: z.object(paramZodObjQuery) + } + } + + if (spec.requestBody) { + let content: any = {} + if (spec.requestBody.content['application/json']) { + content = spec.requestBody.content['application/json'] + } else if (spec.requestBody.content['application/x-www-form-urlencoded']) { + content = spec.requestBody.content['application/x-www-form-urlencoded'] + } else if (spec.requestBody.content['multipart/form-data']) { + content = spec.requestBody.content['multipart/form-data'] + } else if (spec.requestBody.content['text/plain']) { + content = spec.requestBody.content['text/plain'] + } + const requestBodySchema = content.schema + if (requestBodySchema) { + const requiredList = requestBodySchema.required || [] + const requestBodyZodObj = jsonSchemaToZodSchema(requestBodySchema, requiredList, 'properties') + zodObj = { + ...zodObj, + RequestBody: requestBodyZodObj + } + } else { + zodObj = { + ...zodObj, + input: z.string().describe('Query input').optional() + } + } + } + + if (!spec.parameters && !spec.requestBody) { + zodObj = { + input: z.string().describe('Query input').optional() + } + } + + const toolObj = { + name: toolName, + description: toolDesc, + schema: z.object(zodObj), + baseUrl: `${baseUrl}${path}`, + method: method, + headers, + customCode, + strict: spec['x-strict'] === true, + removeNulls + } + + const dynamicStructuredTool = new DynamicStructuredTool(toolObj) + dynamicStructuredTool.setVariables(variables) + dynamicStructuredTool.setFlowObject(flow) + dynamicStructuredTool.returnDirect = returnDirect + tools.push(dynamicStructuredTool) + } } + return tools } module.exports = { nodeClass: OpenAPIToolkit_Tools } diff --git a/packages/components/nodes/tools/OpenAPIToolkit/core.ts b/packages/components/nodes/tools/OpenAPIToolkit/core.ts index 7e332db220a..f7701770e56 100644 --- a/packages/components/nodes/tools/OpenAPIToolkit/core.ts +++ b/packages/components/nodes/tools/OpenAPIToolkit/core.ts @@ -1,140 +1,296 @@ -import jsonpointer from 'jsonpointer' -import { Serializable } from '@langchain/core/load/serializable' -import { Tool, ToolParams } from '@langchain/core/tools' +import { z } from 'zod' +import { RequestInit } from 'node-fetch' +import { NodeVM } from '@flowiseai/nodevm' +import { RunnableConfig } from '@langchain/core/runnables' +import { StructuredTool, ToolParams } from '@langchain/core/tools' +import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager' +import { availableDependencies, defaultAllowBuiltInDep, prepareSandboxVars } from '../../../src/utils' +import { ICommonObject } from '../../../src/Interface' -export type Json = string | number | boolean | null | { [key: string]: Json } | Json[] +const removeNulls = (obj: Record) => { + Object.keys(obj).forEach((key) => { + if (obj[key] === null) { + delete obj[key] + } else if (typeof obj[key] === 'object' && obj[key] !== null) { + removeNulls(obj[key]) + if (Object.keys(obj[key]).length === 0) { + delete obj[key] + } + } + }) + return obj +} + +interface HttpRequestObject { + PathParameters?: Record + QueryParameters?: Record + RequestBody?: Record +} -export type JsonObject = { [key: string]: Json } +export const defaultCode = `const fetch = require('node-fetch'); +const url = $url; +const options = $options; -/** - * Represents a JSON object in the LangChain framework. Provides methods - * to get keys and values from the JSON object. - */ -export class JsonSpec extends Serializable { - lc_namespace = ['langchain', 'tools', 'json'] +try { + const response = await fetch(url, options); + const resp = await response.json(); + return JSON.stringify(resp); +} catch (error) { + console.error(error); + return ''; +} +` +export const howToUseCode = `- **Libraries:** + You can use any libraries imported in Flowise. - obj: JsonObject +- **Tool Input Arguments:** + Tool input arguments are available as the following variables: + - \`$PathParameters\` + - \`$QueryParameters\` + - \`$RequestBody\` - maxValueLength = 4000 +- **HTTP Requests:** + By default, you can get the following values for making HTTP requests: + - \`$url\` + - \`$options\` - constructor(obj: JsonObject, max_value_length = 4000) { - super(...arguments) - this.obj = obj - this.maxValueLength = max_value_length - } +- **Default Flow Config:** + You can access the default flow configuration using these variables: + - \`$flow.sessionId\` + - \`$flow.chatId\` + - \`$flow.chatflowId\` + - \`$flow.input\` + - \`$flow.state\` - /** - * Retrieves all keys at a given path in the JSON object. - * @param input The path to the keys in the JSON object, provided as a string in JSON pointer syntax. - * @returns A string containing all keys at the given path, separated by commas. - */ - public getKeys(input: string): string { - const pointer = jsonpointer.compile(input) - const res = pointer.get(this.obj) as Json - if (typeof res === 'object' && !Array.isArray(res) && res !== null) { - return Object.keys(res) - .map((i) => i.replaceAll('~', '~0').replaceAll('/', '~1')) - .join(', ') +- **Custom Variables:** + You can get custom variables using the syntax: + - \`$vars.\` + +- **Return Value:** + The function must return a **string** value at the end. + +\`\`\`js +${defaultCode} +\`\`\` +` + +const getUrl = (baseUrl: string, requestObject: HttpRequestObject) => { + let url = baseUrl + + // Add PathParameters to URL if present + if (requestObject.PathParameters) { + for (const [key, value] of Object.entries(requestObject.PathParameters)) { + url = url.replace(`{${key}}`, encodeURIComponent(String(value))) } + } - throw new Error(`Value at ${input} is not a dictionary, get the value directly instead.`) + // Add QueryParameters to URL if present + if (requestObject.QueryParameters) { + const queryParams = new URLSearchParams(requestObject.QueryParameters as Record) + url += `?${queryParams.toString()}` } - /** - * Retrieves the value at a given path in the JSON object. - * @param input The path to the value in the JSON object, provided as a string in JSON pointer syntax. - * @returns The value at the given path in the JSON object, as a string. If the value is a large dictionary or exceeds the maximum length, a message is returned instead. - */ - public getValue(input: string): string { - const pointer = jsonpointer.compile(input) - const res = pointer.get(this.obj) as Json - - if (res === null || res === undefined) { - throw new Error(`Value at ${input} is null or undefined.`) - } + return url +} - const str = typeof res === 'object' ? JSON.stringify(res) : res.toString() - if (typeof res === 'object' && !Array.isArray(res) && str.length > this.maxValueLength) { - return `Value is a large dictionary, should explore its keys directly.` - } +class ToolInputParsingException extends Error { + output?: string - if (str.length > this.maxValueLength) { - return `${str.slice(0, this.maxValueLength)}...` - } - return str + constructor(message: string, output?: string) { + super(message) + this.output = output } } -export interface JsonToolFields extends ToolParams { - jsonSpec: JsonSpec +export interface BaseDynamicToolInput extends ToolParams { + name: string + description: string + returnDirect?: boolean } -/** - * A tool in the LangChain framework that lists all keys at a given path - * in a JSON object. - */ -export class JsonListKeysTool extends Tool { - static lc_name() { - return 'JsonListKeysTool' - } +export interface DynamicStructuredToolInput< + // eslint-disable-next-line + T extends z.ZodObject = z.ZodObject +> extends BaseDynamicToolInput { + func?: (input: z.infer, runManager?: CallbackManagerForToolRun) => Promise + schema: T + baseUrl: string + method: string + headers: ICommonObject + customCode?: string + strict?: boolean + removeNulls?: boolean +} - name = 'json_list_keys' +export class DynamicStructuredTool< + // eslint-disable-next-line + T extends z.ZodObject = z.ZodObject +> extends StructuredTool { + name: string - jsonSpec: JsonSpec + description: string - constructor(jsonSpec: JsonSpec) + baseUrl: string - constructor(fields: JsonToolFields) + method: string - constructor(fields: JsonSpec | JsonToolFields) { - if (!('jsonSpec' in fields)) { - // eslint-disable-next-line no-param-reassign - fields = { jsonSpec: fields } - } - super(fields) + headers: ICommonObject + + customCode?: string + + strict?: boolean - this.jsonSpec = fields.jsonSpec + func: DynamicStructuredToolInput['func'] + + // @ts-ignore + schema: T + private variables: any[] + private flowObj: any + private removeNulls: boolean + + constructor(fields: DynamicStructuredToolInput) { + super(fields) + this.name = fields.name + this.description = fields.description + this.func = fields.func + this.returnDirect = fields.returnDirect ?? this.returnDirect + this.schema = fields.schema + this.baseUrl = fields.baseUrl + this.method = fields.method + this.headers = fields.headers + this.customCode = fields.customCode + this.strict = fields.strict + this.removeNulls = fields.removeNulls ?? false } - /** @ignore */ - async _call(input: string) { + async call( + arg: z.output, + configArg?: RunnableConfig | Callbacks, + tags?: string[], + flowConfig?: { sessionId?: string; chatId?: string; input?: string; state?: ICommonObject } + ): Promise { + const config = parseCallbackConfigArg(configArg) + if (config.runName === undefined) { + config.runName = this.name + } + let parsed + try { + parsed = await this.schema.parseAsync(arg) + } catch (e) { + throw new ToolInputParsingException(`Received tool input did not match expected schema ${e}`, JSON.stringify(arg)) + } + const callbackManager_ = await CallbackManager.configure( + config.callbacks, + this.callbacks, + config.tags || tags, + this.tags, + config.metadata, + this.metadata, + { verbose: this.verbose } + ) + const runManager = await callbackManager_?.handleToolStart( + this.toJSON(), + typeof parsed === 'string' ? parsed : JSON.stringify(parsed), + undefined, + undefined, + undefined, + undefined, + config.runName + ) + let result try { - return this.jsonSpec.getKeys(input) - } catch (error) { - return `${error}` + result = await this._call(parsed, runManager, flowConfig) + } catch (e) { + await runManager?.handleToolError(e) + throw e } + if (result && typeof result !== 'string') { + result = JSON.stringify(result) + } + await runManager?.handleToolEnd(result) + return result } - description = `Can be used to list all keys at a given path. - Before calling this you should be SURE that the path to this exists. - The input is a text representation of the path to the json as json pointer syntax (e.g. /key1/0/key2).` -} + // @ts-ignore + protected async _call( + arg: z.output, + _?: CallbackManagerForToolRun, + flowConfig?: { sessionId?: string; chatId?: string; input?: string; state?: ICommonObject } + ): Promise { + let sandbox: any = { + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } + let processedArg = { ...arg } -/** - * A tool in the LangChain framework that retrieves the value at a given - * path in a JSON object. - */ -export class JsonGetValueTool extends Tool { - static lc_name() { - return 'JsonGetValueTool' - } + if (this.removeNulls && typeof processedArg === 'object' && processedArg !== null) { + processedArg = removeNulls(processedArg) + } - name = 'json_get_value' + if (typeof processedArg === 'object' && Object.keys(processedArg).length) { + for (const item in processedArg) { + sandbox[`$${item}`] = processedArg[item] + } + } - constructor(public jsonSpec: JsonSpec) { - super() - } + sandbox['$vars'] = prepareSandboxVars(this.variables) - /** @ignore */ - async _call(input: string) { - try { - return this.jsonSpec.getValue(input) - } catch (error) { - return `${error}` + // inject flow properties + if (this.flowObj) { + sandbox['$flow'] = { ...this.flowObj, ...flowConfig } + } + + const callOptions: RequestInit = { + method: this.method, + headers: { + 'Content-Type': 'application/json', + ...this.headers + } + } + if (arg.RequestBody && this.method.toUpperCase() !== 'GET') { + callOptions.body = JSON.stringify(arg.RequestBody) } + sandbox['$options'] = callOptions + + const completeUrl = getUrl(this.baseUrl, arg) + sandbox['$url'] = completeUrl + + const builtinDeps = process.env.TOOL_FUNCTION_BUILTIN_DEP + ? defaultAllowBuiltInDep.concat(process.env.TOOL_FUNCTION_BUILTIN_DEP.split(',')) + : defaultAllowBuiltInDep + const externalDeps = process.env.TOOL_FUNCTION_EXTERNAL_DEP ? process.env.TOOL_FUNCTION_EXTERNAL_DEP.split(',') : [] + const deps = availableDependencies.concat(externalDeps) + + const options = { + console: 'inherit', + sandbox, + require: { + external: { modules: deps }, + builtin: builtinDeps + }, + eval: false, + wasm: false, + timeout: 10000 + } as any + + const vm = new NodeVM(options) + const response = await vm.run(`module.exports = async function() {${this.customCode || defaultCode}}()`, __dirname) + + return response + } + + setVariables(variables: any[]) { + this.variables = variables } - description = `Can be used to see value in string format at a given path. - Before calling this you should be SURE that the path to this exists. - The input is a text representation of the path to the json as json pointer syntax (e.g. /key1/0/key2).` + setFlowObject(flow: any) { + this.flowObj = flow + } + + isStrict(): boolean { + return this.strict === true + } } diff --git a/packages/components/nodes/tools/PythonInterpreter/PythonInterpreter.ts b/packages/components/nodes/tools/PythonInterpreter/PythonInterpreter.ts deleted file mode 100644 index fa577632e52..00000000000 --- a/packages/components/nodes/tools/PythonInterpreter/PythonInterpreter.ts +++ /dev/null @@ -1,127 +0,0 @@ -import { INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses } from '../../../src/utils' -import { loadPyodide, type PyodideInterface } from 'pyodide' -import { Tool, ToolParams } from '@langchain/core/tools' -import * as path from 'path' -import { getUserHome } from '../../../src/utils' - -let pyodideInstance: PyodideInterface | undefined -const DESC = `Evaluates python code in a sandbox environment. The environment resets on every execution. You must send the whole script every time and print your outputs. Script should be pure python code that can be evaluated. Use only packages available in Pyodide.` -const NAME = 'python_interpreter' - -async function LoadPyodide(): Promise { - if (pyodideInstance === undefined) { - const obj = { packageCacheDir: path.join(getUserHome(), '.flowise', 'pyodideCacheDir') } - pyodideInstance = await loadPyodide(obj) - } - return pyodideInstance -} - -class PythonInterpreter_Tools implements INode { - label: string - name: string - version: number - description: string - type: string - icon: string - category: string - baseClasses: string[] - inputs: INodeParams[] - badge: string - - constructor() { - this.label = 'Python Interpreter' - this.name = 'pythonInterpreter' - this.version = 1.0 - this.type = 'PythonInterpreter' - this.icon = 'python.svg' - this.category = 'Tools' - this.description = 'Execute python code in Pyodide sandbox environment' - this.baseClasses = [this.type, 'Tool', ...getBaseClasses(PythonInterpreterTool)] - this.inputs = [ - { - label: 'Tool Name', - name: 'toolName', - type: 'string', - description: 'Specify the name of the tool', - default: 'python_interpreter' - }, - { - label: 'Tool Description', - name: 'toolDesc', - type: 'string', - rows: 4, - description: 'Specify the description of the tool', - default: DESC - } - ] - } - - async init(nodeData: INodeData): Promise { - const toolDesc = nodeData.inputs?.toolDesc as string - const toolName = nodeData.inputs?.toolName as string - - return await PythonInterpreterTool.initialize({ - description: toolDesc ?? DESC, - name: toolName ?? NAME - }) - } -} - -type PythonInterpreterToolParams = Parameters[0] & - ToolParams & { - instance: PyodideInterface - } - -export class PythonInterpreterTool extends Tool { - static lc_name() { - return 'PythonInterpreterTool' - } - - name = NAME - - description = DESC - - pyodideInstance: PyodideInterface - - stdout = '' - - stderr = '' - - constructor(options: PythonInterpreterToolParams & { name: string; description: string }) { - super(options) - this.description = options.description - this.name = options.name - this.pyodideInstance = options.instance - this.pyodideInstance.setStderr({ - batched: (text: string) => { - this.stderr += text - } - }) - this.pyodideInstance.setStdout({ - batched: (text: string) => { - this.stdout += text - } - }) - } - - static async initialize(options: Partial & { name: string; description: string }) { - const instance = await LoadPyodide() - return new this({ instance, name: options.name, description: options.description }) - } - - async _call(script: string) { - this.stdout = '' - this.stderr = '' - - try { - await this.pyodideInstance.loadPackagesFromImports(script) - await this.pyodideInstance.runPythonAsync(script) - return JSON.stringify({ stdout: this.stdout, stderr: this.stderr }, null, 2) - } catch (e) { - return typeof e === 'string' ? e : JSON.stringify(e, null, 2) - } - } -} - -module.exports = { nodeClass: PythonInterpreter_Tools } diff --git a/packages/components/nodes/tools/PythonInterpreter/python.svg b/packages/components/nodes/tools/PythonInterpreter/python.svg deleted file mode 100644 index 9cbbf9478df..00000000000 --- a/packages/components/nodes/tools/PythonInterpreter/python.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/packages/components/nodes/tools/RetrieverTool/RetrieverTool.ts b/packages/components/nodes/tools/RetrieverTool/RetrieverTool.ts index 1e5f76d12ce..0010bce9c50 100644 --- a/packages/components/nodes/tools/RetrieverTool/RetrieverTool.ts +++ b/packages/components/nodes/tools/RetrieverTool/RetrieverTool.ts @@ -1,11 +1,120 @@ import { z } from 'zod' -import { DynamicStructuredTool } from '@langchain/core/tools' -import { CallbackManagerForToolRun } from '@langchain/core/callbacks/manager' -import { DynamicTool } from '@langchain/core/tools' +import { CallbackManager, CallbackManagerForToolRun, Callbacks, parseCallbackConfigArg } from '@langchain/core/callbacks/manager' +import { BaseDynamicToolInput, DynamicTool, StructuredTool, ToolInputParsingException } from '@langchain/core/tools' import { BaseRetriever } from '@langchain/core/retrievers' -import { INode, INodeData, INodeParams } from '../../../src/Interface' -import { getBaseClasses } from '../../../src/utils' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, resolveFlowObjValue } from '../../../src/utils' import { SOURCE_DOCUMENTS_PREFIX } from '../../../src/agents' +import { RunnableConfig } from '@langchain/core/runnables' +import { VectorStoreRetriever } from '@langchain/core/vectorstores' + +const howToUse = `Add additional filters to vector store. You can also filter with flow config, including the current "state": +- \`$flow.sessionId\` +- \`$flow.chatId\` +- \`$flow.chatflowId\` +- \`$flow.input\` +- \`$flow.state\` +` + +type ZodObjectAny = z.ZodObject +type IFlowConfig = { sessionId?: string; chatId?: string; input?: string; state?: ICommonObject } +interface DynamicStructuredToolInput = z.ZodObject> + extends BaseDynamicToolInput { + func?: (input: z.infer, runManager?: CallbackManagerForToolRun, flowConfig?: IFlowConfig) => Promise + schema: T +} + +class DynamicStructuredTool = z.ZodObject> extends StructuredTool< + T extends ZodObjectAny ? T : ZodObjectAny +> { + static lc_name() { + return 'DynamicStructuredTool' + } + + name: string + + description: string + + func: DynamicStructuredToolInput['func'] + + // @ts-ignore + schema: T + + private flowObj: any + + constructor(fields: DynamicStructuredToolInput) { + super(fields) + this.name = fields.name + this.description = fields.description + this.func = fields.func + this.returnDirect = fields.returnDirect ?? this.returnDirect + this.schema = fields.schema + } + + async call(arg: any, configArg?: RunnableConfig | Callbacks, tags?: string[], flowConfig?: IFlowConfig): Promise { + const config = parseCallbackConfigArg(configArg) + if (config.runName === undefined) { + config.runName = this.name + } + let parsed + try { + parsed = await this.schema.parseAsync(arg) + } catch (e) { + throw new ToolInputParsingException(`Received tool input did not match expected schema`, JSON.stringify(arg)) + } + const callbackManager_ = await CallbackManager.configure( + config.callbacks, + this.callbacks, + config.tags || tags, + this.tags, + config.metadata, + this.metadata, + { verbose: this.verbose } + ) + const runManager = await callbackManager_?.handleToolStart( + this.toJSON(), + typeof parsed === 'string' ? parsed : JSON.stringify(parsed), + undefined, + undefined, + undefined, + undefined, + config.runName + ) + let result + try { + result = await this._call(parsed, runManager, flowConfig) + } catch (e) { + await runManager?.handleToolError(e) + throw e + } + if (result && typeof result !== 'string') { + result = JSON.stringify(result) + } + await runManager?.handleToolEnd(result) + return result + } + + // @ts-ignore + protected _call(arg: any, runManager?: CallbackManagerForToolRun, flowConfig?: IFlowConfig): Promise { + let flowConfiguration: ICommonObject = {} + if (typeof arg === 'object' && Object.keys(arg).length) { + for (const item in arg) { + flowConfiguration[`$${item}`] = arg[item] + } + } + + // inject flow properties + if (this.flowObj) { + flowConfiguration['$flow'] = { ...this.flowObj, ...flowConfig } + } + + return this.func!(arg as any, runManager, flowConfiguration) + } + + setFlowObject(flow: any) { + this.flowObj = flow + } +} class Retriever_Tools implements INode { label: string @@ -22,7 +131,7 @@ class Retriever_Tools implements INode { constructor() { this.label = 'Retriever Tool' this.name = 'retrieverTool' - this.version = 2.0 + this.version = 3.0 this.type = 'RetrieverTool' this.icon = 'retrievertool.svg' this.category = 'Tools' @@ -53,23 +162,48 @@ class Retriever_Tools implements INode { name: 'returnSourceDocuments', type: 'boolean', optional: true + }, + { + label: 'Additional Metadata Filter', + name: 'retrieverToolMetadataFilter', + type: 'json', + description: 'Add additional metadata filter on top of the existing filter from vector store', + optional: true, + additionalParams: true, + hint: { + label: 'What can you filter?', + value: howToUse + } } ] } - async init(nodeData: INodeData): Promise { + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const name = nodeData.inputs?.name as string const description = nodeData.inputs?.description as string const retriever = nodeData.inputs?.retriever as BaseRetriever const returnSourceDocuments = nodeData.inputs?.returnSourceDocuments as boolean + const retrieverToolMetadataFilter = nodeData.inputs?.retrieverToolMetadataFilter const input = { name, description } - const func = async ({ input }: { input: string }, runManager?: CallbackManagerForToolRun) => { - const docs = await retriever.getRelevantDocuments(input, runManager?.getChild('retriever')) + const flow = { chatflowId: options.chatflowid } + + const func = async ({ input }: { input: string }, _?: CallbackManagerForToolRun, flowConfig?: IFlowConfig) => { + if (retrieverToolMetadataFilter) { + const flowObj = flowConfig + + const metadatafilter = + typeof retrieverToolMetadataFilter === 'object' ? retrieverToolMetadataFilter : JSON.parse(retrieverToolMetadataFilter) + const newMetadataFilter = resolveFlowObjValue(metadatafilter, flowObj) + + const vectorStore = (retriever as VectorStoreRetriever).vectorStore + vectorStore.filter = newMetadataFilter + } + const docs = await retriever.invoke(input) const content = docs.map((doc) => doc.pageContent).join('\n\n') const sourceDocuments = JSON.stringify(docs) return returnSourceDocuments ? content + SOURCE_DOCUMENTS_PREFIX + sourceDocuments : content @@ -80,6 +214,7 @@ class Retriever_Tools implements INode { }) as any const tool = new DynamicStructuredTool({ ...input, func, schema }) + tool.setFlowObject(flow) return tool } } diff --git a/packages/components/nodes/tools/Searxng/Searxng.ts b/packages/components/nodes/tools/Searxng/Searxng.ts index b3f647371ec..4357124904a 100644 --- a/packages/components/nodes/tools/Searxng/Searxng.ts +++ b/packages/components/nodes/tools/Searxng/Searxng.ts @@ -1,7 +1,60 @@ -import { SearxngSearch } from '@langchain/community/tools/searxng_search' +import { Tool } from '@langchain/core/tools' import { INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' +const defaultDesc = + 'A meta search engine. Useful for when you need to answer questions about current events. Input should be a search query. Output is a JSON array of the query results' +const defaultName = 'searxng-search' + +interface SearxngResults { + query: string + number_of_results: number + results: Array<{ + url: string + title: string + content: string + img_src: string + engine: string + parsed_url: Array + template: string + engines: Array + positions: Array + score: number + category: string + pretty_url: string + open_group?: boolean + close_group?: boolean + }> + answers: Array + corrections: Array + infoboxes: Array<{ + infobox: string + content: string + engine: string + engines: Array + }> + suggestions: Array + unresponsive_engines: Array +} + +interface SearxngCustomHeaders { + [key: string]: string +} + +interface SearxngSearchParams { + numResults?: number + categories?: string + engines?: string + language?: string + pageNumber?: number + timeRange?: number + format?: string + resultsOnNewTab?: 0 | 1 + imageProxy?: boolean + autocomplete?: string + safesearch?: 0 | 1 | 2 +} + class Searxng_Tools implements INode { label: string name: string @@ -16,7 +69,7 @@ class Searxng_Tools implements INode { constructor() { this.label = 'SearXNG' this.name = 'searXNG' - this.version = 1.0 + this.version = 3.0 this.type = 'SearXNG' this.icon = 'SearXNG.svg' this.category = 'Tools' @@ -26,7 +79,47 @@ class Searxng_Tools implements INode { label: 'Base URL', name: 'apiBase', type: 'string', - default: 'http://searxng:8080' + default: 'http://localhost:8080' + }, + { + label: 'Tool Name', + name: 'toolName', + type: 'string', + default: defaultName + }, + { + label: 'Tool Description', + name: 'toolDescription', + type: 'string', + rows: 4, + default: defaultDesc + }, + { + label: 'Headers', + name: 'headers', + type: 'json', + description: 'Custom headers for the request', + optional: true, + additionalParams: true + }, + { + label: 'Format', + name: 'format', + type: 'options', + options: [ + { + label: 'JSON', + name: 'json' + }, + { + label: 'HTML', + name: 'html' + } + ], + default: 'json', + description: + 'Format of the response. You need to enable search formats in settings.yml. Refer to SearXNG Setup Guide for more details.', + additionalParams: true }, { label: 'Categories', @@ -86,34 +179,162 @@ class Searxng_Tools implements INode { async init(nodeData: INodeData, _: string): Promise { const apiBase = nodeData.inputs?.apiBase as string + const headers = nodeData.inputs?.headers as string const categories = nodeData.inputs?.categories as string const engines = nodeData.inputs?.engines as string const language = nodeData.inputs?.language as string - const pageno = nodeData.inputs?.pageno as number + const pageno = nodeData.inputs?.pageno as string const time_range = nodeData.inputs?.time_range as string const safesearch = nodeData.inputs?.safesearch as 0 | 1 | 2 | undefined - const format = 'json' as 'json' - - const params = { - format, - categories, - engines, - language, - pageno, - time_range, - safesearch - } + const format = nodeData.inputs?.format as string + const toolName = nodeData.inputs?.toolName as string + const toolDescription = nodeData.inputs?.toolDescription as string + + const params: SearxngSearchParams = {} - const headers = {} + if (categories) params.categories = categories + if (engines) params.engines = engines + if (language) params.language = language + if (pageno) params.pageNumber = parseFloat(pageno) + if (time_range) params.timeRange = parseFloat(time_range) + if (safesearch) params.safesearch = safesearch + if (format) params.format = format + + let customHeaders = undefined + if (headers) { + customHeaders = typeof headers === 'string' ? JSON.parse(headers) : headers + } const tool = new SearxngSearch({ apiBase, params, - headers + headers: customHeaders, + toolName, + toolDescription }) return tool } } +class SearxngSearch extends Tool { + static lc_name() { + return 'SearxngSearch' + } + + name = defaultName + + description = defaultDesc + + protected apiBase?: string + + protected params?: SearxngSearchParams = { + numResults: 10, + pageNumber: 1, + imageProxy: true, + safesearch: 0 + } + + protected headers?: SearxngCustomHeaders + + get lc_secrets(): { [key: string]: string } | undefined { + return { + apiBase: 'SEARXNG_API_BASE' + } + } + + constructor({ + apiBase, + params, + headers, + toolName, + toolDescription + }: { + apiBase?: string + params?: SearxngSearchParams + headers?: SearxngCustomHeaders + toolName?: string + toolDescription?: string + }) { + super(...arguments) + + this.apiBase = apiBase + this.headers = { 'content-type': 'application/json', ...headers } + + if (!this.apiBase) { + throw new Error(`SEARXNG_API_BASE not set. You can set it as "SEARXNG_API_BASE" in your environment variables.`) + } + + if (params) { + this.params = { ...this.params, ...params } + } + + if (toolName) { + this.name = toolName + } + + if (toolDescription) { + this.description = toolDescription + } + } + + protected buildUrl

(path: string, parameters: P, baseUrl: string): string { + const nonUndefinedParams: [string, string][] = Object.entries(parameters) + .filter(([_, value]) => value !== undefined) + .map(([key, value]) => [key, value.toString()]) // Avoid string conversion + const searchParams = new URLSearchParams(nonUndefinedParams) + return `${baseUrl}/${path}?${searchParams}` + } + + async _call(input: string): Promise { + const queryParams = { + q: input, + ...this.params + } + const url = this.buildUrl('search', queryParams, this.apiBase as string) + + const resp = await fetch(url, { + method: 'POST', + headers: this.headers, + signal: AbortSignal.timeout(5 * 1000) // 5 seconds + }) + + if (!resp.ok) { + throw new Error(resp.statusText) + } + + const res: SearxngResults = await resp.json() + + if (!res.results.length && !res.answers.length && !res.infoboxes.length && !res.suggestions.length) { + return 'No good results found.' + } else if (res.results.length) { + const response: string[] = [] + + res.results.forEach((r) => { + response.push( + JSON.stringify({ + title: r.title || '', + link: r.url || '', + snippet: r.content || '' + }) + ) + }) + + return response.slice(0, this.params?.numResults).toString() + } else if (res.answers.length) { + return res.answers[0] + } else if (res.infoboxes.length) { + return res.infoboxes[0]?.content.replaceAll(/<[^>]+>/gi, '') + } else if (res.suggestions.length) { + let suggestions = 'Suggestions: ' + res.suggestions.forEach((s) => { + suggestions += `${s}, ` + }) + return suggestions + } else { + return 'No good results found.' + } + } +} + module.exports = { nodeClass: Searxng_Tools } diff --git a/packages/components/nodes/tools/StripeTool/StripeTool.ts b/packages/components/nodes/tools/StripeTool/StripeTool.ts new file mode 100644 index 00000000000..df6c17a9643 --- /dev/null +++ b/packages/components/nodes/tools/StripeTool/StripeTool.ts @@ -0,0 +1,271 @@ +import { StripeAgentToolkit } from '@stripe/agent-toolkit/langchain' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { convertMultiOptionsToStringArray, getCredentialData, getCredentialParam } from '../../../src/utils' + +class StripeTool_Tools implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + badge?: string + + constructor() { + this.label = 'StripeAgentTool' + this.name = 'stripeAgentTool' + this.version = 1.0 + this.type = 'stripeAgentTool' + this.icon = 'stripe.png' + this.category = 'Tools' + this.description = 'Use Stripe Agent function calling for financial transactions' + this.badge = 'BETA' + this.inputs = [ + { + label: 'Payment Links', + name: 'paymentLinks', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Products', + name: 'products', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Prices', + name: 'prices', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Balance', + name: 'balance', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Invoice Items', + name: 'invoiceItems', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Invoices', + name: 'invoices', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + }, + { + label: 'Customers', + name: 'customers', + type: 'multiOptions', + options: [ + { + label: 'Create', + name: 'create' + }, + { + label: 'Update', + name: 'update' + }, + { + label: 'Read', + name: 'read' + } + ], + optional: true, + additionalParams: true + } + ] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['stripeApi'] + } + this.baseClasses = [this.type, 'Tool'] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const stripeApiToken = getCredentialParam('stripeApiToken', credentialData, nodeData) + + const _paymentLinks = nodeData.inputs?.paymentLinks as string + let paymentLinks: string[] = convertMultiOptionsToStringArray(_paymentLinks) + + const _products = nodeData.inputs?.products as string + let products: string[] = convertMultiOptionsToStringArray(_products) + + const _prices = nodeData.inputs?.prices as string + let prices: string[] = convertMultiOptionsToStringArray(_prices) + + const _balance = nodeData.inputs?.balance as string + let balance: string[] = convertMultiOptionsToStringArray(_balance) + + const _invoiceItems = nodeData.inputs?.invoiceItems as string + let invoiceItems: string[] = convertMultiOptionsToStringArray(_invoiceItems) + + const _invoices = nodeData.inputs?.invoices as string + let invoices: string[] = convertMultiOptionsToStringArray(_invoices) + + const _customers = nodeData.inputs?.customers as string + let customers: string[] = convertMultiOptionsToStringArray(_customers) + + const actionObj: any = {} + if (paymentLinks.length > 0) { + actionObj['paymentLinks'] = {} + if (paymentLinks.includes('create')) actionObj['paymentLinks'].create = true + if (paymentLinks.includes('read')) actionObj['paymentLinks'].read = true + if (paymentLinks.includes('update')) actionObj['paymentLinks'].update = true + } + if (products.length > 0) { + actionObj['products'] = {} + if (products.includes('create')) actionObj['products'].create = true + if (products.includes('read')) actionObj['products'].read = true + if (products.includes('update')) actionObj['products'].update = true + } + if (prices.length > 0) { + actionObj['prices'] = {} + if (prices.includes('create')) actionObj['prices'].create = true + if (prices.includes('read')) actionObj['prices'].read = true + if (prices.includes('update')) actionObj['prices'].update = true + } + if (balance.length > 0) { + actionObj['balance'] = {} + if (balance.includes('create')) actionObj['balance'].create = true + if (balance.includes('read')) actionObj['balance'].read = true + if (balance.includes('update')) actionObj['balance'].update = true + } + if (invoiceItems.length > 0) { + actionObj['invoiceItems'] = {} + if (invoiceItems.includes('create')) actionObj['invoiceItems'].create = true + if (invoiceItems.includes('read')) actionObj['invoiceItems'].read = true + if (invoiceItems.includes('update')) actionObj['invoiceItems'].update = true + } + if (invoices.length > 0) { + actionObj['invoices'] = {} + if (invoices.includes('create')) actionObj['invoices'].create = true + if (invoices.includes('read')) actionObj['invoices'].read = true + if (invoices.includes('update')) actionObj['invoices'].update = true + } + if (customers.length > 0) { + actionObj['customers'] = {} + if (customers.includes('create')) actionObj['customers'].create = true + if (customers.includes('read')) actionObj['customers'].read = true + if (customers.includes('update')) actionObj['customers'].update = true + } + + const stripeAgentToolkit = new StripeAgentToolkit({ + secretKey: stripeApiToken, + configuration: { + actions: actionObj + } + }) + + const stripeTool = stripeAgentToolkit.getTools() + for (const tool of stripeTool) { + // convert tool name into small letter, and space to underscore, ex: Create Payment Link => create_payment_link + tool.name = tool.name.split(' ').join('_').toLowerCase() + } + + return stripeTool + } +} + +module.exports = { nodeClass: StripeTool_Tools } diff --git a/packages/components/nodes/tools/StripeTool/stripe.png b/packages/components/nodes/tools/StripeTool/stripe.png new file mode 100644 index 00000000000..b73ff0db395 Binary files /dev/null and b/packages/components/nodes/tools/StripeTool/stripe.png differ diff --git a/packages/components/nodes/tools/TavilyAPI/TavilyAPI.ts b/packages/components/nodes/tools/TavilyAPI/TavilyAPI.ts new file mode 100644 index 00000000000..68e44c54670 --- /dev/null +++ b/packages/components/nodes/tools/TavilyAPI/TavilyAPI.ts @@ -0,0 +1,42 @@ +import { TavilySearchResults } from '@langchain/community/tools/tavily_search' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class TavilyAPI_Tools implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'Tavily API' + this.name = 'tavilyAPI' + this.version = 1.0 + this.type = 'TavilyAPI' + this.icon = 'tavily.svg' + this.category = 'Tools' + this.description = 'Wrapper around TavilyAPI - a real-time API to access Google search results' + this.inputs = [] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['tavilyApi'] + } + this.baseClasses = [this.type, ...getBaseClasses(TavilySearchResults)] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const tavilyApiKey = getCredentialParam('tavilyApiKey', credentialData, nodeData) + return new TavilySearchResults({ apiKey: tavilyApiKey }) + } +} + +module.exports = { nodeClass: TavilyAPI_Tools } diff --git a/packages/components/nodes/tools/TavilyAPI/tavily.svg b/packages/components/nodes/tools/TavilyAPI/tavily.svg new file mode 100644 index 00000000000..141d1d3d6e5 --- /dev/null +++ b/packages/components/nodes/tools/TavilyAPI/tavily.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/components/nodes/tools/WolframAlpha/WolframAlpha.ts b/packages/components/nodes/tools/WolframAlpha/WolframAlpha.ts new file mode 100644 index 00000000000..8342c1295e6 --- /dev/null +++ b/packages/components/nodes/tools/WolframAlpha/WolframAlpha.ts @@ -0,0 +1,44 @@ +import { WolframAlphaTool } from '@langchain/community/tools/wolframalpha' +import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' + +class WolframAlpha_Tools implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + credential: INodeParams + inputs: INodeParams[] + + constructor() { + this.label = 'WolframAlpha' + this.name = 'wolframAlpha' + this.version = 1.0 + this.type = 'WolframAlpha' + this.icon = 'wolframalpha.png' + this.category = 'Tools' + this.description = 'Wrapper around WolframAlpha - a powerful computational knowledge engine' + this.inputs = [] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['wolframAlphaAppId'] + } + this.baseClasses = [this.type, ...getBaseClasses(WolframAlphaTool)] + } + + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const wolframAlphaAppId = getCredentialParam('wolframAlphaAppId', credentialData, nodeData) + return new WolframAlphaTool({ + appid: wolframAlphaAppId + }) + } +} + +module.exports = { nodeClass: WolframAlpha_Tools } diff --git a/packages/components/nodes/tools/WolframAlpha/wolframalpha.png b/packages/components/nodes/tools/WolframAlpha/wolframalpha.png new file mode 100644 index 00000000000..77ef000be62 Binary files /dev/null and b/packages/components/nodes/tools/WolframAlpha/wolframalpha.png differ diff --git a/packages/components/nodes/utilities/CustomFunction/CustomFunction.ts b/packages/components/nodes/utilities/CustomFunction/CustomFunction.ts index 4ba3f30d24d..079f186ba22 100644 --- a/packages/components/nodes/utilities/CustomFunction/CustomFunction.ts +++ b/packages/components/nodes/utilities/CustomFunction/CustomFunction.ts @@ -1,7 +1,9 @@ -import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' -import { NodeVM } from 'vm2' +import { flatten } from 'lodash' +import { type StructuredTool } from '@langchain/core/tools' +import { NodeVM } from '@flowiseai/nodevm' import { DataSource } from 'typeorm' import { availableDependencies, defaultAllowBuiltInDep, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' class CustomFunction_Utilities implements INode { label: string @@ -19,7 +21,7 @@ class CustomFunction_Utilities implements INode { constructor() { this.label = 'Custom JS Function' this.name = 'customFunction' - this.version = 2.0 + this.version = 3.0 this.type = 'CustomFunction' this.icon = 'customfunction.svg' this.category = 'Utilities' @@ -43,6 +45,14 @@ class CustomFunction_Utilities implements INode { optional: true, placeholder: 'My Function' }, + { + label: 'Additional Tools', + description: 'Tools can be used in the function with $tools.{tool_name}.invoke(args)', + name: 'tools', + type: 'Tool', + list: true, + optional: true + }, { label: 'Javascript Function', name: 'javascriptFunction', @@ -71,12 +81,14 @@ class CustomFunction_Utilities implements INode { const functionInputVariablesRaw = nodeData.inputs?.functionInputVariables const appDataSource = options.appDataSource as DataSource const databaseEntities = options.databaseEntities as IDatabaseEntity + const tools = Object.fromEntries((flatten(nodeData.inputs?.tools) as StructuredTool[])?.map((tool) => [tool.name, tool]) ?? []) const variables = await getVars(appDataSource, databaseEntities, nodeData) const flow = { chatflowId: options.chatflowid, sessionId: options.sessionId, chatId: options.chatId, + rawOutput: options.rawOutput || '', input } @@ -106,9 +118,17 @@ class CustomFunction_Utilities implements INode { } } - let sandbox: any = { $input: input } + let sandbox: any = { + $input: input, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } sandbox['$vars'] = prepareSandboxVars(variables) sandbox['$flow'] = flow + sandbox['$tools'] = tools if (Object.keys(inputVars).length) { for (const item in inputVars) { @@ -128,7 +148,10 @@ class CustomFunction_Utilities implements INode { require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(nodeVMOptions) diff --git a/packages/components/nodes/utilities/IfElseFunction/IfElseFunction.ts b/packages/components/nodes/utilities/IfElseFunction/IfElseFunction.ts index 005f2a01976..08b81163652 100644 --- a/packages/components/nodes/utilities/IfElseFunction/IfElseFunction.ts +++ b/packages/components/nodes/utilities/IfElseFunction/IfElseFunction.ts @@ -1,7 +1,7 @@ -import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' -import { NodeVM } from 'vm2' +import { NodeVM } from '@flowiseai/nodevm' import { DataSource } from 'typeorm' import { availableDependencies, defaultAllowBuiltInDep, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils' +import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' class IfElseFunction_Utilities implements INode { label: string @@ -119,7 +119,14 @@ class IfElseFunction_Utilities implements INode { } } - let sandbox: any = { $input: input } + let sandbox: any = { + $input: input, + util: undefined, + Symbol: undefined, + child_process: undefined, + fs: undefined, + process: undefined + } sandbox['$vars'] = prepareSandboxVars(variables) sandbox['$flow'] = flow @@ -141,7 +148,10 @@ class IfElseFunction_Utilities implements INode { require: { external: { modules: deps }, builtin: builtinDeps - } + }, + eval: false, + wasm: false, + timeout: 10000 } as any const vm = new NodeVM(nodeVMOptions) diff --git a/packages/components/nodes/utilities/SetVariable/SetVariable.ts b/packages/components/nodes/utilities/SetVariable/SetVariable.ts index 00ada3fd3f6..227b673ee6d 100644 --- a/packages/components/nodes/utilities/SetVariable/SetVariable.ts +++ b/packages/components/nodes/utilities/SetVariable/SetVariable.ts @@ -16,7 +16,7 @@ class SetVariable_Utilities implements INode { constructor() { this.label = 'Set Variable' this.name = 'setVariable' - this.version = 2.0 + this.version = 2.1 this.type = 'SetVariable' this.icon = 'setvar.svg' this.category = 'Utilities' @@ -36,6 +36,14 @@ class SetVariable_Utilities implements INode { name: 'variableName', type: 'string', placeholder: 'var1' + }, + { + label: 'Show Output', + name: 'showOutput', + description: 'Show the output result in the Prediction API response', + type: 'boolean', + optional: true, + additionalParams: true } ] this.outputs = [ diff --git a/packages/components/nodes/vectorstores/Chroma/Chroma.ts b/packages/components/nodes/vectorstores/Chroma/Chroma.ts index d71f097682f..62f4b8a644b 100644 --- a/packages/components/nodes/vectorstores/Chroma/Chroma.ts +++ b/packages/components/nodes/vectorstores/Chroma/Chroma.ts @@ -111,6 +111,8 @@ class Chroma_VectorStores implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData) + const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData) + const chromaDatabase = getCredentialParam('chromaDatabase', credentialData, nodeData) const flattenDocs = docs && docs.length ? flatten(docs) : [] const finalDocs = [] @@ -124,9 +126,13 @@ class Chroma_VectorStores implements INode { collectionName: string url?: string chromaApiKey?: string + chromaTenant?: string + chromaDatabase?: string } = { collectionName } if (chromaURL) obj.url = chromaURL if (chromaApiKey) obj.chromaApiKey = chromaApiKey + if (chromaTenant) obj.chromaTenant = chromaTenant + if (chromaDatabase) obj.chromaDatabase = chromaDatabase try { if (recordManager) { @@ -159,14 +165,20 @@ class Chroma_VectorStores implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData) + const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData) + const chromaDatabase = getCredentialParam('chromaDatabase', credentialData, nodeData) const obj: { collectionName: string url?: string chromaApiKey?: string + chromaTenant?: string + chromaDatabase?: string } = { collectionName } if (chromaURL) obj.url = chromaURL if (chromaApiKey) obj.chromaApiKey = chromaApiKey + if (chromaTenant) obj.chromaTenant = chromaTenant + if (chromaDatabase) obj.chromaDatabase = chromaDatabase try { if (recordManager) { @@ -199,6 +211,8 @@ class Chroma_VectorStores implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const chromaApiKey = getCredentialParam('chromaApiKey', credentialData, nodeData) + const chromaTenant = getCredentialParam('chromaTenant', credentialData, nodeData) + const chromaDatabase = getCredentialParam('chromaDatabase', credentialData, nodeData) const chromaMetadataFilter = nodeData.inputs?.chromaMetadataFilter @@ -206,10 +220,14 @@ class Chroma_VectorStores implements INode { collectionName: string url?: string chromaApiKey?: string + chromaTenant?: string + chromaDatabase?: string filter?: object | undefined } = { collectionName } if (chromaURL) obj.url = chromaURL if (chromaApiKey) obj.chromaApiKey = chromaApiKey + if (chromaTenant) obj.chromaTenant = chromaTenant + if (chromaDatabase) obj.chromaDatabase = chromaDatabase if (chromaMetadataFilter) { const metadatafilter = typeof chromaMetadataFilter === 'object' ? chromaMetadataFilter : JSON.parse(chromaMetadataFilter) obj.filter = metadatafilter diff --git a/packages/components/nodes/vectorstores/Chroma/core.ts b/packages/components/nodes/vectorstores/Chroma/core.ts index c5fa92e7514..2e538fbb976 100644 --- a/packages/components/nodes/vectorstores/Chroma/core.ts +++ b/packages/components/nodes/vectorstores/Chroma/core.ts @@ -10,6 +10,8 @@ interface ChromaAuth { export class ChromaExtended extends Chroma { chromaApiKey?: string + chromaTenant?: string + chromaDatabase?: string constructor(embeddings: Embeddings, args: ChromaLibArgs & Partial) { super(embeddings, args) @@ -35,6 +37,12 @@ export class ChromaExtended extends Chroma { } } } + if (this.chromaTenant) { + obj.tenant = this.chromaTenant + } + if (this.chromaDatabase) { + obj.database = this.chromaDatabase + } this.index = new ChromaClient(obj) } try { diff --git a/packages/components/nodes/vectorstores/Couchbase/Couchbase.ts b/packages/components/nodes/vectorstores/Couchbase/Couchbase.ts index 3dd79d751cd..83c45271e6e 100644 --- a/packages/components/nodes/vectorstores/Couchbase/Couchbase.ts +++ b/packages/components/nodes/vectorstores/Couchbase/Couchbase.ts @@ -1,7 +1,3 @@ -/* -* Temporary disabled due to the incompatibility with the docker node-alpine: -* https://github.com/FlowiseAI/Flowise/pull/2303 - import { flatten } from 'lodash' import { Embeddings } from '@langchain/core/embeddings' import { Document } from '@langchain/core/documents' @@ -231,4 +227,3 @@ class Couchbase_VectorStores implements INode { } module.exports = { nodeClass: Couchbase_VectorStores } -*/ diff --git a/packages/components/nodes/vectorstores/DocumentStoreVS/DocStoreVector.ts b/packages/components/nodes/vectorstores/DocumentStoreVS/DocStoreVector.ts index 6ce47f71648..ba2660e0b2a 100644 --- a/packages/components/nodes/vectorstores/DocumentStoreVS/DocStoreVector.ts +++ b/packages/components/nodes/vectorstores/DocumentStoreVS/DocStoreVector.ts @@ -12,7 +12,6 @@ class DocStore_VectorStores implements INode { baseClasses: string[] inputs: INodeParams[] outputs: INodeOutputsValue[] - badge: string constructor() { this.label = 'Document Store (Vector)' @@ -20,7 +19,6 @@ class DocStore_VectorStores implements INode { this.version = 1.0 this.type = 'DocumentStoreVS' this.icon = 'dstore.svg' - this.badge = 'New' this.category = 'Vector Stores' this.description = `Search and retrieve documents from Document Store` this.baseClasses = [this.type] diff --git a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts index d752928e7ab..9cd9969e74f 100644 --- a/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts +++ b/packages/components/nodes/vectorstores/Elasticsearch/Elasticsearch.ts @@ -138,7 +138,14 @@ class Elasticsearch_VectorStores implements INode { }) // end of workaround - const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName) + const { elasticClient, elasticSearchClientArgs } = prepareClientArgs( + endPoint, + cloudId, + credentialData, + nodeData, + similarityMeasure, + indexName + ) const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs) try { @@ -155,9 +162,11 @@ class Elasticsearch_VectorStores implements INode { vectorStoreName: indexName } }) + await elasticClient.close() return res } else { await vectorStore.addDocuments(finalDocs) + await elasticClient.close() return { numAdded: finalDocs.length, addedDocs: finalDocs } } } catch (e) { @@ -174,7 +183,14 @@ class Elasticsearch_VectorStores implements INode { const endPoint = getCredentialParam('endpoint', credentialData, nodeData) const cloudId = getCredentialParam('cloudId', credentialData, nodeData) - const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName) + const { elasticClient, elasticSearchClientArgs } = prepareClientArgs( + endPoint, + cloudId, + credentialData, + nodeData, + similarityMeasure, + indexName + ) const vectorStore = new ElasticVectorSearch(embeddings, elasticSearchClientArgs) try { @@ -186,8 +202,10 @@ class Elasticsearch_VectorStores implements INode { await vectorStore.delete({ ids: keys }) await recordManager.deleteKeys(keys) + await elasticClient.close() } else { await vectorStore.delete({ ids }) + await elasticClient.close() } } catch (e) { throw new Error(e) @@ -206,8 +224,22 @@ class Elasticsearch_VectorStores implements INode { const k = topK ? parseFloat(topK) : 4 const output = nodeData.outputs?.output as string - const elasticSearchClientArgs = prepareClientArgs(endPoint, cloudId, credentialData, nodeData, similarityMeasure, indexName) + const { elasticClient, elasticSearchClientArgs } = prepareClientArgs( + endPoint, + cloudId, + credentialData, + nodeData, + similarityMeasure, + indexName + ) const vectorStore = await ElasticVectorSearch.fromExistingIndex(embeddings, elasticSearchClientArgs) + const originalSimilaritySearchVectorWithScore = vectorStore.similaritySearchVectorWithScore + + vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { + const results = await originalSimilaritySearchVectorWithScore.call(vectorStore, query, k, filter) + await elasticClient.close() + return results + } if (output === 'retriever') { return vectorStore.asRetriever(k) @@ -289,12 +321,17 @@ const prepareClientArgs = ( similarity: 'l2_norm' } } + + const elasticClient = new Client(elasticSearchClientOptions) const elasticSearchClientArgs: ElasticClientArgs = { - client: new Client(elasticSearchClientOptions), + client: elasticClient, indexName: indexName, vectorSearchOptions: vectorSearchOptions } - return elasticSearchClientArgs + return { + elasticClient, + elasticSearchClientArgs + } } module.exports = { nodeClass: Elasticsearch_VectorStores } diff --git a/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.png b/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.png new file mode 100644 index 00000000000..7bbb458fa99 Binary files /dev/null and b/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.png differ diff --git a/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.ts b/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.ts new file mode 100644 index 00000000000..eed428cdbcc --- /dev/null +++ b/packages/components/nodes/vectorstores/Meilisearch/Meilisearch.ts @@ -0,0 +1,271 @@ +import { getCredentialData, getCredentialParam } from '../../../src' +import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface' +import { Meilisearch } from 'meilisearch' +import { MeilisearchRetriever } from './core' +import { flatten } from 'lodash' +import { Document } from '@langchain/core/documents' +import { v4 as uuidv4 } from 'uuid' +import { Embeddings } from '@langchain/core/embeddings' + +class MeilisearchRetriever_node implements INode { + label: string + name: string + version: number + description: string + type: string + icon: string + category: string + baseClasses: string[] + inputs: INodeParams[] + credential: INodeParams + outputs: INodeOutputsValue[] + author?: string + + constructor() { + this.label = 'Meilisearch' + this.name = 'meilisearch' + this.version = 1.0 + this.type = 'Meilisearch' + this.icon = 'Meilisearch.png' + this.category = 'Vector Stores' + this.description = `Upsert embedded data and perform similarity search upon query using Meilisearch hybrid search functionality` + this.baseClasses = ['BaseRetriever'] + this.credential = { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['meilisearchApi'] + } + this.inputs = [ + { + label: 'Document', + name: 'document', + type: 'Document', + list: true, + optional: true + }, + { + label: 'Embeddings', + name: 'embeddings', + type: 'Embeddings' + }, + { + label: 'Host', + name: 'host', + type: 'string', + description: "This is the URL for the desired Meilisearch instance, the URL must not end with a '/'" + }, + { + label: 'Index Uid', + name: 'indexUid', + type: 'string', + description: 'UID for the index to answer from' + }, + { + label: 'Delete Index if exists', + name: 'deleteIndex', + type: 'boolean', + optional: true + }, + { + label: 'Top K', + name: 'K', + type: 'number', + description: 'number of top searches to return as context, default is 4', + additionalParams: true, + optional: true + }, + { + label: 'Semantic Ratio', + name: 'semanticRatio', + type: 'number', + description: 'percentage of sematic reasoning in meilisearch hybrid search, default is 0.75', + additionalParams: true, + optional: true + }, + { + label: 'Search Filter', + name: 'searchFilter', + type: 'string', + description: 'search filter to apply on searchable attributes', + additionalParams: true, + optional: true + } + ] + this.outputs = [ + { + label: 'Meilisearch Retriever', + name: 'MeilisearchRetriever', + description: 'retrieve answers', + baseClasses: this.baseClasses + } + ] + this.outputs = [ + { + label: 'Meilisearch Retriever', + name: 'retriever', + baseClasses: this.baseClasses + } + ] + } + //@ts-ignore + vectorStoreMethods = { + async upsert(nodeData: INodeData, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const meilisearchAdminApiKey = getCredentialParam('meilisearchAdminApiKey', credentialData, nodeData) + const docs = nodeData.inputs?.document as Document[] + const host = nodeData.inputs?.host as string + const indexUid = nodeData.inputs?.indexUid as string + const deleteIndex = nodeData.inputs?.deleteIndex as boolean + const embeddings = nodeData.inputs?.embeddings as Embeddings + let embeddingDimension: number = 384 + const client = new Meilisearch({ + host: host, + apiKey: meilisearchAdminApiKey + }) + const flattenDocs = docs && docs.length ? flatten(docs) : [] + const finalDocs = [] + for (let i = 0; i < flattenDocs.length; i += 1) { + if (flattenDocs[i] && flattenDocs[i].pageContent) { + const uniqueId = uuidv4() + const { pageContent, metadata } = flattenDocs[i] + const docEmbedding = await embeddings.embedQuery(pageContent) + embeddingDimension = docEmbedding.length + const documentForIndexing = { + pageContent, + metadata, + objectID: uniqueId, + _vectors: { + ollama: { + embeddings: docEmbedding, + regenerate: false + } + } + } + finalDocs.push(documentForIndexing) + } + } + let taskUid_created: number = 0 + + if (deleteIndex) { + try { + const deleteResponse = await client.deleteIndex(indexUid) + taskUid_created = deleteResponse.taskUid + let deleteTaskStatus = await client.getTask(taskUid_created) + + while (deleteTaskStatus.status !== 'succeeded') { + deleteTaskStatus = await client.getTask(taskUid_created) + if (deleteTaskStatus.error !== null || deleteTaskStatus.status === 'failed') { + throw new Error('Error during index deletion task: ' + deleteTaskStatus.error) + } + } + } catch (error) { + console.error(error) + console.warn('Error occured when deleting your index, if it did not exist, we will create one for you... ') + } + } + + let index: any + + try { + index = await client.getIndex(indexUid) + } catch (error) { + console.warn('Index not found, creating a new index...') + + try { + const createResponse = await client.createIndex(indexUid, { primaryKey: 'objectID' }) + taskUid_created = createResponse.taskUid + let createTaskStatus = await client.getTask(taskUid_created) + + while (createTaskStatus.status !== 'succeeded') { + createTaskStatus = await client.getTask(taskUid_created) + if (createTaskStatus.error !== null || createTaskStatus.status === 'failed') { + throw new Error('Error during index creation task: ' + createTaskStatus.error) + } + } + index = await client.getIndex(indexUid) + } catch (taskError) { + console.error('Error during index creation process:', taskError) + } + } + + try { + await index.updateFilterableAttributes(['metadata']) + await index.updateSettings({ + embedders: { + ollama: { + source: 'userProvided', + dimensions: embeddingDimension + } + } + }) + const addResponse = await index.addDocuments(finalDocs) + taskUid_created = addResponse.taskUid + let AddTaskStatus = await client.getTask(taskUid_created) + while (AddTaskStatus.status !== 'succeeded') { + AddTaskStatus = await client.getTask(taskUid_created) + if (AddTaskStatus.error !== null || AddTaskStatus.status === 'failed') { + throw new Error('Error during documents adding task: ' + AddTaskStatus.error) + } + } + index = await client.getIndex(indexUid) + } catch (error) { + console.error('Error occurred while adding documents:', error) + } + return { numAdded: finalDocs.length, addedDocs: finalDocs } + } + } + async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { + const credentialData = await getCredentialData(nodeData.credential ?? '', options) + const meilisearchSearchApiKey = getCredentialParam('meilisearchSearchApiKey', credentialData, nodeData) + const meilisearchAdminApiKey = getCredentialParam('meilisearchAdminApiKey', credentialData, nodeData) + const host = nodeData.inputs?.host as string + const indexUid = nodeData.inputs?.indexUid as string + const K = nodeData.inputs?.K as string + const semanticRatio = nodeData.inputs?.semanticRatio as string + const embeddings = nodeData.inputs?.embeddings as Embeddings + const searchFilter = nodeData.inputs?.searchFilter as string + + const experimentalEndpoint = host + '/experimental-features/' + const token = meilisearchAdminApiKey + + const experimentalOptions = { + method: 'PATCH', + headers: { + 'Content-Type': 'application/json', + Authorization: `Bearer ${token}` + }, + body: JSON.stringify({ + vectorStore: true + }) + } + + try { + const response = await fetch(experimentalEndpoint, experimentalOptions) + if (!response.ok) { + throw new Error(`Failed to enable vectorStore: ${response.statusText}`) + } + + const data = await response.json() + + const vectorStoreEnabled = data.vectorStore + if (vectorStoreEnabled !== true) { + throw new Error('Failed to enable vectorStore, vectorStrore property returned is not true') + } + } catch (error) { + console.error('Error enabling vectorStore feature:', error) + } + + const hybridsearchretriever = new MeilisearchRetriever( + host, + meilisearchSearchApiKey, + indexUid, + K, + semanticRatio, + embeddings, + searchFilter + ) + return hybridsearchretriever + } +} +module.exports = { nodeClass: MeilisearchRetriever_node } diff --git a/packages/components/nodes/vectorstores/Meilisearch/core.ts b/packages/components/nodes/vectorstores/Meilisearch/core.ts new file mode 100644 index 00000000000..b3479d85982 --- /dev/null +++ b/packages/components/nodes/vectorstores/Meilisearch/core.ts @@ -0,0 +1,97 @@ +import { BaseRetriever, type BaseRetrieverInput } from '@langchain/core/retrievers' +import { Document } from '@langchain/core/documents' +import { Meilisearch } from 'meilisearch' +import { Embeddings } from '@langchain/core/embeddings' + +export interface CustomRetrieverInput extends BaseRetrieverInput {} + +export class MeilisearchRetriever extends BaseRetriever { + lc_namespace = ['langchain', 'retrievers'] + private readonly meilisearchSearchApiKey: any + private readonly host: any + private indexUid: string + private K: string + private semanticRatio: string + private embeddings: Embeddings + private searchFilter: string + constructor( + host: string, + meilisearchSearchApiKey: any, + indexUid: string, + K: string, + semanticRatio: string, + embeddings: Embeddings, + searchFilter: string, + fields?: CustomRetrieverInput + ) { + super(fields) + this.meilisearchSearchApiKey = meilisearchSearchApiKey + this.host = host + this.indexUid = indexUid + this.embeddings = embeddings + this.searchFilter = searchFilter + + if (semanticRatio == '') { + this.semanticRatio = '0.75' + } else { + let semanticRatio_Float = parseFloat(semanticRatio) + if (semanticRatio_Float > 1.0) { + this.semanticRatio = '1.0' + } else if (semanticRatio_Float < 0.0) { + this.semanticRatio = '0.0' + } else { + this.semanticRatio = semanticRatio + } + } + + if (K == '') { + K = '4' + } + this.K = K + } + + async _getRelevantDocuments(query: string): Promise { + // Pass `runManager?.getChild()` when invoking internal runnables to enable tracing + // const additionalDocs = await someOtherRunnable.invoke(params, runManager?.getChild()) + const client = new Meilisearch({ + host: this.host, + apiKey: this.meilisearchSearchApiKey + }) + + const index = await client.index(this.indexUid) + const questionEmbedding = await this.embeddings.embedQuery(query) + // Perform the search + const searchResults = await index.search(query, { + filter: this.searchFilter, + vector: questionEmbedding, + limit: parseInt(this.K), // Optional: Limit the number of results + attributesToRetrieve: ['*'], // Optional: Specify which fields to retrieve + hybrid: { + semanticRatio: parseFloat(this.semanticRatio), + embedder: 'ollama' + } + }) + const hits = searchResults.hits + let documents: Document[] = [ + new Document({ + pageContent: 'mock page', + metadata: {} + }) + ] + try { + documents = hits.map( + (hit: any) => + new Document({ + pageContent: hit.pageContent, + metadata: { + objectID: hit.objectID, + ...hit.metadata + } + }) + ) + } catch (e) { + console.error('Error occurred while adding documents:', e) + } + return documents + } +} diff --git a/packages/components/nodes/vectorstores/Milvus/Milvus.ts b/packages/components/nodes/vectorstores/Milvus/Milvus.ts index 74cf4717332..e10c2cfc5b9 100644 --- a/packages/components/nodes/vectorstores/Milvus/Milvus.ts +++ b/packages/components/nodes/vectorstores/Milvus/Milvus.ts @@ -4,7 +4,8 @@ import { Document } from '@langchain/core/documents' import { MilvusLibArgs, Milvus } from '@langchain/community/vectorstores/milvus' import { Embeddings } from '@langchain/core/embeddings' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { FLOWISE_CHATID, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { howToUseFileUpload } from '../VectorStoreUtils' interface InsertRow { [x: string]: string | number[] @@ -27,7 +28,7 @@ class Milvus_VectorStores implements INode { constructor() { this.label = 'Milvus' this.name = 'milvus' - this.version = 1.0 + this.version = 2.1 this.type = 'Milvus' this.icon = 'milvus.svg' this.category = 'Vector Stores' @@ -64,6 +65,25 @@ class Milvus_VectorStores implements INode { name: 'milvusCollection', type: 'string' }, + { + label: 'Milvus Partition Name', + name: 'milvusPartition', + default: '_default', + type: 'string', + optional: true + }, + { + label: 'File Upload', + name: 'fileUpload', + description: 'Allow file upload on the chat', + hint: { + label: 'How to use', + value: howToUseFileUpload + }, + type: 'boolean', + additionalParams: true, + optional: true + }, { label: 'Milvus Text Field', name: 'milvusTextField', @@ -90,6 +110,46 @@ class Milvus_VectorStores implements INode { type: 'number', additionalParams: true, optional: true + }, + { + label: 'Secure', + name: 'secure', + type: 'boolean', + optional: true, + description: 'Enable secure connection to Milvus server', + additionalParams: true + }, + { + label: 'Client PEM Path', + name: 'clientPemPath', + type: 'string', + optional: true, + description: 'Path to the client PEM file', + additionalParams: true + }, + { + label: 'Client Key Path', + name: 'clientKeyPath', + type: 'string', + optional: true, + description: 'Path to the client key file', + additionalParams: true + }, + { + label: 'CA PEM Path', + name: 'caPemPath', + type: 'string', + optional: true, + description: 'Path to the root PEM file', + additionalParams: true + }, + { + label: 'Server Name', + name: 'serverName', + type: 'string', + optional: true, + description: 'Server name for the secure connection', + additionalParams: true } ] this.outputs = [ @@ -116,16 +176,41 @@ class Milvus_VectorStores implements INode { // embeddings const docs = nodeData.inputs?.document as Document[] const embeddings = nodeData.inputs?.embeddings as Embeddings + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean // credential const credentialData = await getCredentialData(nodeData.credential ?? '', options) const milvusUser = getCredentialParam('milvusUser', credentialData, nodeData) const milvusPassword = getCredentialParam('milvusPassword', credentialData, nodeData) + // tls + const secure = nodeData.inputs?.secure as boolean + const clientPemPath = nodeData.inputs?.clientPemPath as string + const clientKeyPath = nodeData.inputs?.clientKeyPath as string + const caPemPath = nodeData.inputs?.caPemPath as string + const serverName = nodeData.inputs?.serverName as string + + // partition + const partitionName = nodeData.inputs?.milvusPartition ?? '_default' + // init MilvusLibArgs const milVusArgs: MilvusLibArgs = { url: address, - collectionName: collectionName + collectionName: collectionName, + partitionName: partitionName + } + + if (secure) { + milVusArgs.clientConfig = { + address: address, + ssl: secure, + tls: { + rootCertPath: caPemPath, + certChainPath: clientPemPath, + privateKeyPath: clientKeyPath, + serverName: serverName + } + } } if (milvusUser) milVusArgs.username = milvusUser @@ -135,6 +220,9 @@ class Milvus_VectorStores implements INode { const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { + if (isFileUploadEnabled && options.chatId) { + flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [FLOWISE_CHATID]: options.chatId } + } finalDocs.push(new Document(flattenDocs[i])) } } @@ -158,8 +246,9 @@ class Milvus_VectorStores implements INode { // server setup const address = nodeData.inputs?.milvusServerUrl as string const collectionName = nodeData.inputs?.milvusCollection as string - const milvusFilter = nodeData.inputs?.milvusFilter as string + const _milvusFilter = nodeData.inputs?.milvusFilter as string const textField = nodeData.inputs?.milvusTextField as string + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean // embeddings const embeddings = nodeData.inputs?.embeddings as Embeddings @@ -176,16 +265,46 @@ class Milvus_VectorStores implements INode { const milvusUser = getCredentialParam('milvusUser', credentialData, nodeData) const milvusPassword = getCredentialParam('milvusPassword', credentialData, nodeData) + // tls + const secure = nodeData.inputs?.secure as boolean + const clientPemPath = nodeData.inputs?.clientPemPath as string + const clientKeyPath = nodeData.inputs?.clientKeyPath as string + const caPemPath = nodeData.inputs?.caPemPath as string + const serverName = nodeData.inputs?.serverName as string + + // partition + const partitionName = nodeData.inputs?.milvusPartition ?? '_default' + // init MilvusLibArgs const milVusArgs: MilvusLibArgs = { url: address, collectionName: collectionName, + partitionName: partitionName, textField: textField } + if (secure) { + milVusArgs.clientConfig = { + address: address, + ssl: secure, + tls: { + rootCertPath: caPemPath, + certChainPath: clientPemPath, + privateKeyPath: clientKeyPath, + serverName: serverName + } + } + } + if (milvusUser) milVusArgs.username = milvusUser if (milvusPassword) milVusArgs.password = milvusPassword + let milvusFilter = _milvusFilter + if (isFileUploadEnabled && options.chatId) { + if (milvusFilter) milvusFilter += ` OR ${FLOWISE_CHATID} == "${options.chatId}" OR NOT EXISTS(${FLOWISE_CHATID})` + else milvusFilter = `${FLOWISE_CHATID} == "${options.chatId}" OR NOT EXISTS(${FLOWISE_CHATID})` + } + const vectorStore = await Milvus.fromExistingCollection(embeddings, milVusArgs) // Avoid Illegal Invocation @@ -245,7 +364,7 @@ const similaritySearchVectorWithScore = async (query: number[], k: number, vecto anns_field: vectorStore.vectorField, topk: k.toString(), metric_type: vectorStore.indexCreateParams.metric_type, - params: vectorStore.indexSearchParams + params: JSON.stringify(vectorStore.indexSearchParams) } const searchResp = await vectorStore.client.search({ collection_name: vectorStore.collectionName, diff --git a/packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBAtlas.ts b/packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBAtlas.ts index 1554497a90d..785c64484f6 100644 --- a/packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBAtlas.ts +++ b/packages/components/nodes/vectorstores/MongoDBAtlas/MongoDBAtlas.ts @@ -1,13 +1,12 @@ import { flatten } from 'lodash' -import { MongoClient } from 'mongodb' -import { MongoDBAtlasVectorSearch } from '@langchain/mongodb' import { Embeddings } from '@langchain/core/embeddings' import { Document } from '@langchain/core/documents' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam, getVersion } from '../../../src/utils' +import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils' -import { VectorStore } from '@langchain/core/vectorstores' +import { MongoDBAtlasVectorSearch } from './core' +// TODO: Add ability to specify env variable and use singleton pattern (i.e initialize MongoDB on server and pass to component) class MongoDBAtlas_VectorStores implements INode { label: string name: string @@ -86,6 +85,13 @@ class MongoDBAtlas_VectorStores implements INode { additionalParams: true, optional: true }, + { + label: 'Mongodb Metadata Filter', + name: 'mongoMetadataFilter', + type: 'json', + optional: true, + additionalParams: true + }, { label: 'Top K', name: 'topK', @@ -135,20 +141,18 @@ class MongoDBAtlas_VectorStores implements INode { } } - const mongoClient = await getMongoClient(mongoDBConnectUrl) try { - const collection = mongoClient.db(databaseName).collection(collectionName) - if (!textKey || textKey === '') textKey = 'text' if (!embeddingKey || embeddingKey === '') embeddingKey = 'embedding' const mongoDBAtlasVectorSearch = new MongoDBAtlasVectorSearch(embeddings, { - collection, + connectionDetails: { mongoDBConnectUrl, databaseName, collectionName }, indexName, textKey, embeddingKey }) await mongoDBAtlasVectorSearch.addDocuments(finalDocs) + return { numAdded: finalDocs.length, addedDocs: finalDocs } } catch (e) { throw new Error(e) @@ -164,48 +168,41 @@ class MongoDBAtlas_VectorStores implements INode { let textKey = nodeData.inputs?.textKey as string let embeddingKey = nodeData.inputs?.embeddingKey as string const embeddings = nodeData.inputs?.embeddings as Embeddings + const mongoMetadataFilter = nodeData.inputs?.mongoMetadataFilter as object let mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData) - const mongoClient = await getMongoClient(mongoDBConnectUrl) - try { - const collection = mongoClient.db(databaseName).collection(collectionName) + const mongoDbFilter: MongoDBAtlasVectorSearch['FilterType'] = {} + try { if (!textKey || textKey === '') textKey = 'text' if (!embeddingKey || embeddingKey === '') embeddingKey = 'embedding' const vectorStore = new MongoDBAtlasVectorSearch(embeddings, { - collection, + connectionDetails: { mongoDBConnectUrl, databaseName, collectionName }, indexName, textKey, embeddingKey - }) as unknown as VectorStore + }) + + if (mongoMetadataFilter) { + const metadataFilter = typeof mongoMetadataFilter === 'object' ? mongoMetadataFilter : JSON.parse(mongoMetadataFilter) + + for (const key in metadataFilter) { + mongoDbFilter.preFilter = { + ...mongoDbFilter.preFilter, + [key]: { + $eq: metadataFilter[key] + } + } + } + } - return resolveVectorStoreOrRetriever(nodeData, vectorStore) + return resolveVectorStoreOrRetriever(nodeData, vectorStore, mongoDbFilter) } catch (e) { throw new Error(e) } } } -let mongoClientSingleton: MongoClient -let mongoUrl: string - -const getMongoClient = async (newMongoUrl: string) => { - const driverInfo = { name: 'Flowise', version: (await getVersion()).version } - - if (!mongoClientSingleton) { - // if client does not exist - mongoClientSingleton = new MongoClient(newMongoUrl, { driverInfo }) - mongoUrl = newMongoUrl - return mongoClientSingleton - } else if (mongoClientSingleton && newMongoUrl !== mongoUrl) { - // if client exists but url changed - mongoClientSingleton.close() - mongoClientSingleton = new MongoClient(newMongoUrl, { driverInfo }) - mongoUrl = newMongoUrl - return mongoClientSingleton - } - return mongoClientSingleton -} module.exports = { nodeClass: MongoDBAtlas_VectorStores } diff --git a/packages/components/nodes/vectorstores/MongoDBAtlas/core.ts b/packages/components/nodes/vectorstores/MongoDBAtlas/core.ts new file mode 100644 index 00000000000..eb26178eea3 --- /dev/null +++ b/packages/components/nodes/vectorstores/MongoDBAtlas/core.ts @@ -0,0 +1,237 @@ +import { MongoClient, type Document as MongoDBDocument } from 'mongodb' +import { MaxMarginalRelevanceSearchOptions, VectorStore } from '@langchain/core/vectorstores' +import type { EmbeddingsInterface } from '@langchain/core/embeddings' +import { chunkArray } from '@langchain/core/utils/chunk_array' +import { Document } from '@langchain/core/documents' +import { maximalMarginalRelevance } from '@langchain/core/utils/math' +import { AsyncCaller, AsyncCallerParams } from '@langchain/core/utils/async_caller' +import { getVersion } from '../../../src/utils' + +export interface MongoDBAtlasVectorSearchLibArgs extends AsyncCallerParams { + readonly connectionDetails: { + readonly mongoDBConnectUrl: string + readonly databaseName: string + readonly collectionName: string + } + readonly indexName?: string + readonly textKey?: string + readonly embeddingKey?: string + readonly primaryKey?: string +} + +type MongoDBAtlasFilter = { + preFilter?: MongoDBDocument + postFilterPipeline?: MongoDBDocument[] + includeEmbeddings?: boolean +} & MongoDBDocument + +export class MongoDBAtlasVectorSearch extends VectorStore { + declare FilterType: MongoDBAtlasFilter + + private readonly connectionDetails: { + readonly mongoDBConnectUrl: string + readonly databaseName: string + readonly collectionName: string + } + + private readonly indexName: string + + private readonly textKey: string + + private readonly embeddingKey: string + + private readonly primaryKey: string + + private caller: AsyncCaller + + _vectorstoreType(): string { + return 'mongodb_atlas' + } + + constructor(embeddings: EmbeddingsInterface, args: MongoDBAtlasVectorSearchLibArgs) { + super(embeddings, args) + this.connectionDetails = args.connectionDetails + this.indexName = args.indexName ?? 'default' + this.textKey = args.textKey ?? 'text' + this.embeddingKey = args.embeddingKey ?? 'embedding' + this.primaryKey = args.primaryKey ?? '_id' + this.caller = new AsyncCaller(args) + } + + async getClient() { + const driverInfo = { name: 'Flowise', version: (await getVersion()).version } + const mongoClient = new MongoClient(this.connectionDetails.mongoDBConnectUrl, { driverInfo }) + return mongoClient + } + + async closeConnection(client: MongoClient) { + await client.close() + } + + async addVectors(vectors: number[][], documents: Document[], options?: { ids?: string[] }) { + const client = await this.getClient() + const collection = client.db(this.connectionDetails.databaseName).collection(this.connectionDetails.collectionName) + const docs = vectors.map((embedding, idx) => ({ + [this.textKey]: documents[idx].pageContent, + [this.embeddingKey]: embedding, + ...documents[idx].metadata + })) + if (options?.ids === undefined) { + await collection.insertMany(docs) + } else { + if (options.ids.length !== vectors.length) { + throw new Error(`If provided, "options.ids" must be an array with the same length as "vectors".`) + } + const { ids } = options + for (let i = 0; i < docs.length; i += 1) { + await this.caller.call(async () => { + await collection.updateOne( + { [this.primaryKey]: ids[i] }, + { $set: { [this.primaryKey]: ids[i], ...docs[i] } }, + { upsert: true } + ) + }) + } + } + await this.closeConnection(client) + return options?.ids ?? docs.map((doc) => doc[this.primaryKey]) + } + + async addDocuments(documents: Document[], options?: { ids?: string[] }) { + const texts = documents.map(({ pageContent }) => pageContent) + return this.addVectors(await this.embeddings.embedDocuments(texts), documents, options) + } + + async similaritySearchVectorWithScore(query: number[], k: number, filter?: MongoDBAtlasFilter): Promise<[Document, number][]> { + const client = await this.getClient() + const collection = client.db(this.connectionDetails.databaseName).collection(this.connectionDetails.collectionName) + + const postFilterPipeline = filter?.postFilterPipeline ?? [] + const preFilter: MongoDBDocument | undefined = + filter?.preFilter || filter?.postFilterPipeline || filter?.includeEmbeddings ? filter.preFilter : filter + const removeEmbeddingsPipeline = !filter?.includeEmbeddings + ? [ + { + $project: { + [this.embeddingKey]: 0 + } + } + ] + : [] + + const pipeline: MongoDBDocument[] = [ + { + $vectorSearch: { + queryVector: this.fixArrayPrecision(query), + index: this.indexName, + path: this.embeddingKey, + limit: k, + numCandidates: 10 * k, + ...(preFilter && { filter: preFilter }) + } + }, + { + $set: { + score: { $meta: 'vectorSearchScore' } + } + }, + ...removeEmbeddingsPipeline, + ...postFilterPipeline + ] + + const results = await collection + .aggregate(pipeline) + .map<[Document, number]>((result) => { + const { score, [this.textKey]: text, ...metadata } = result + return [new Document({ pageContent: text, metadata }), score] + }) + .toArray() + + await this.closeConnection(client) + + return results + } + + async maxMarginalRelevanceSearch(query: string, options: MaxMarginalRelevanceSearchOptions): Promise { + const { k, fetchK = 20, lambda = 0.5, filter } = options + + const queryEmbedding = await this.embeddings.embedQuery(query) + + // preserve the original value of includeEmbeddings + const includeEmbeddingsFlag = options.filter?.includeEmbeddings || false + + // update filter to include embeddings, as they will be used in MMR + const includeEmbeddingsFilter = { + ...filter, + includeEmbeddings: true + } + + const resultDocs = await this.similaritySearchVectorWithScore( + this.fixArrayPrecision(queryEmbedding), + fetchK, + includeEmbeddingsFilter + ) + + const embeddingList = resultDocs.map((doc) => doc[0].metadata[this.embeddingKey]) + + const mmrIndexes = maximalMarginalRelevance(queryEmbedding, embeddingList, lambda, k) + + return mmrIndexes.map((idx) => { + const doc = resultDocs[idx][0] + + // remove embeddings if they were not requested originally + if (!includeEmbeddingsFlag) { + delete doc.metadata[this.embeddingKey] + } + return doc + }) + } + + async delete(params: { ids: any[] }): Promise { + const client = await this.getClient() + const collection = client.db(this.connectionDetails.databaseName).collection(this.connectionDetails.collectionName) + const CHUNK_SIZE = 50 + const chunkIds: any[][] = chunkArray(params.ids, CHUNK_SIZE) + for (const chunk of chunkIds) { + await collection.deleteMany({ _id: { $in: chunk } }) + } + await this.closeConnection(client) + } + + static async fromTexts( + texts: string[], + metadatas: object[] | object, + embeddings: EmbeddingsInterface, + dbConfig: MongoDBAtlasVectorSearchLibArgs & { ids?: string[] } + ): Promise { + const docs: Document[] = [] + for (let i = 0; i < texts.length; i += 1) { + const metadata = Array.isArray(metadatas) ? metadatas[i] : metadatas + const newDoc = new Document({ + pageContent: texts[i], + metadata + }) + docs.push(newDoc) + } + return MongoDBAtlasVectorSearch.fromDocuments(docs, embeddings, dbConfig) + } + + static async fromDocuments( + docs: Document[], + embeddings: EmbeddingsInterface, + dbConfig: MongoDBAtlasVectorSearchLibArgs & { ids?: string[] } + ): Promise { + const instance = new this(embeddings, dbConfig) + await instance.addDocuments(docs, { ids: dbConfig.ids }) + return instance + } + + fixArrayPrecision(array: number[]) { + return array.map((value) => { + if (Number.isInteger(value)) { + return value + 0.000000000000001 + } + return value + }) + } +} diff --git a/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts b/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts index ead54466972..94b7bdcf36b 100644 --- a/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts +++ b/packages/components/nodes/vectorstores/Pinecone/Pinecone.ts @@ -1,31 +1,14 @@ -import { flatten, isEqual } from 'lodash' -import { Pinecone, PineconeConfiguration } from '@pinecone-database/pinecone' +import { flatten } from 'lodash' +import { Pinecone } from '@pinecone-database/pinecone' import { PineconeStoreParams, PineconeStore } from '@langchain/pinecone' import { Embeddings } from '@langchain/core/embeddings' import { Document } from '@langchain/core/documents' import { VectorStore } from '@langchain/core/vectorstores' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils' +import { FLOWISE_CHATID, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { addMMRInputParams, howToUseFileUpload, resolveVectorStoreOrRetriever } from '../VectorStoreUtils' import { index } from '../../../src/indexing' -let pineconeClientSingleton: Pinecone -let pineconeClientOption: PineconeConfiguration - -const getPineconeClient = (option: PineconeConfiguration) => { - if (!pineconeClientSingleton) { - // if client doesn't exists - pineconeClientSingleton = new Pinecone(option) - pineconeClientOption = option - return pineconeClientSingleton - } else if (pineconeClientSingleton && !isEqual(option, pineconeClientOption)) { - // if client exists but option changed - pineconeClientSingleton = new Pinecone(option) - return pineconeClientSingleton - } - return pineconeClientSingleton -} - class Pinecone_VectorStores implements INode { label: string name: string @@ -43,7 +26,7 @@ class Pinecone_VectorStores implements INode { constructor() { this.label = 'Pinecone' this.name = 'pinecone' - this.version = 4.0 + this.version = 5.0 this.type = 'Pinecone' this.icon = 'pinecone.svg' this.category = 'Vector Stores' @@ -88,6 +71,18 @@ class Pinecone_VectorStores implements INode { additionalParams: true, optional: true }, + { + label: 'File Upload', + name: 'fileUpload', + description: 'Allow file upload on the chat', + hint: { + label: 'How to use', + value: howToUseFileUpload + }, + type: 'boolean', + additionalParams: true, + optional: true + }, { label: 'Pinecone Text Key', name: 'pineconeTextKey', @@ -138,11 +133,12 @@ class Pinecone_VectorStores implements INode { const embeddings = nodeData.inputs?.embeddings as Embeddings const recordManager = nodeData.inputs?.recordManager const pineconeTextKey = nodeData.inputs?.pineconeTextKey as string + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData) - const client = getPineconeClient({ apiKey: pineconeApiKey }) + const client = new Pinecone({ apiKey: pineconeApiKey }) const pineconeIndex = client.Index(_index) @@ -150,6 +146,9 @@ class Pinecone_VectorStores implements INode { const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { + if (isFileUploadEnabled && options.chatId) { + flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [FLOWISE_CHATID]: options.chatId } + } finalDocs.push(new Document(flattenDocs[i])) } } @@ -195,7 +194,7 @@ class Pinecone_VectorStores implements INode { const credentialData = await getCredentialData(nodeData.credential ?? '', options) const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData) - const client = getPineconeClient({ apiKey: pineconeApiKey }) + const client = new Pinecone({ apiKey: pineconeApiKey }) const pineconeIndex = client.Index(_index) @@ -232,11 +231,12 @@ class Pinecone_VectorStores implements INode { const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter const embeddings = nodeData.inputs?.embeddings as Embeddings const pineconeTextKey = nodeData.inputs?.pineconeTextKey as string + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData) - const client = getPineconeClient({ apiKey: pineconeApiKey }) + const client = new Pinecone({ apiKey: pineconeApiKey }) const pineconeIndex = client.Index(index) @@ -251,6 +251,14 @@ class Pinecone_VectorStores implements INode { metadatafilter = typeof pineconeMetadataFilter === 'object' ? pineconeMetadataFilter : JSON.parse(pineconeMetadataFilter) obj.filter = metadatafilter } + if (isFileUploadEnabled && options.chatId) { + obj.filter = obj.filter || {} + obj.filter.$or = [ + ...(obj.filter.$or || []), + { [FLOWISE_CHATID]: { $eq: options.chatId } }, + { [FLOWISE_CHATID]: { $exists: false } } + ] + } const vectorStore = (await PineconeStore.fromExistingIndex(embeddings, obj)) as unknown as VectorStore diff --git a/packages/components/nodes/vectorstores/Pinecone/Pinecone_LlamaIndex.ts b/packages/components/nodes/vectorstores/Pinecone/Pinecone_LlamaIndex.ts index 075b82a7f59..ad0371ef533 100644 --- a/packages/components/nodes/vectorstores/Pinecone/Pinecone_LlamaIndex.ts +++ b/packages/components/nodes/vectorstores/Pinecone/Pinecone_LlamaIndex.ts @@ -295,8 +295,11 @@ class PineconeVectorStore extends VectorStoreBase implements VectorStoreNoEmbedM async query(query: VectorStoreQuery): Promise { const queryOptions: any = { vector: query.queryEmbedding, - topK: query.similarityTopK, - filter: this.queryFilter + topK: query.similarityTopK + } + + if (this.queryFilter && Object.keys(this.queryFilter).length > 0) { + queryOptions.filter = this.queryFilter } const idx = await this.index() diff --git a/packages/components/nodes/vectorstores/Postgres/Postgres.ts b/packages/components/nodes/vectorstores/Postgres/Postgres.ts index 4a4d5443a76..1e7621c3f27 100644 --- a/packages/components/nodes/vectorstores/Postgres/Postgres.ts +++ b/packages/components/nodes/vectorstores/Postgres/Postgres.ts @@ -1,12 +1,16 @@ -import { Pool } from 'pg' import { flatten } from 'lodash' -import { DataSourceOptions } from 'typeorm' -import { Embeddings } from '@langchain/core/embeddings' import { Document } from '@langchain/core/documents' -import { TypeORMVectorStore, TypeORMVectorStoreDocument } from '@langchain/community/vectorstores/typeorm' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { FLOWISE_CHATID, getBaseClasses } from '../../../src/utils' import { index } from '../../../src/indexing' +import { howToUseFileUpload } from '../VectorStoreUtils' +import { VectorStore } from '@langchain/core/vectorstores' +import { VectorStoreDriver } from './driver/Base' +import { TypeORMDriver } from './driver/TypeORM' +// import { PGVectorDriver } from './driver/PGVector' +import { getContentColumnName, getDatabase, getHost, getPort, getTableName } from './utils' + +const serverCredentialsExists = !!process.env.POSTGRES_VECTORSTORE_USER && !!process.env.POSTGRES_VECTORSTORE_PASSWORD class Postgres_VectorStores implements INode { label: string @@ -25,7 +29,7 @@ class Postgres_VectorStores implements INode { constructor() { this.label = 'Postgres' this.name = 'postgres' - this.version = 5.0 + this.version = 7.0 this.type = 'Postgres' this.icon = 'postgres.svg' this.category = 'Vector Stores' @@ -35,7 +39,8 @@ class Postgres_VectorStores implements INode { label: 'Connect Credential', name: 'credential', type: 'credential', - credentialNames: ['PostgresApi'] + credentialNames: ['PostgresApi'], + optional: serverCredentialsExists } this.inputs = [ { @@ -60,25 +65,83 @@ class Postgres_VectorStores implements INode { { label: 'Host', name: 'host', - type: 'string' + type: 'string', + placeholder: getHost(), + optional: !!getHost() }, { label: 'Database', name: 'database', - type: 'string' + type: 'string', + placeholder: getDatabase(), + optional: !!getDatabase() }, { label: 'Port', name: 'port', type: 'number', - placeholder: '6432', + placeholder: getPort(), optional: true }, { label: 'Table Name', name: 'tableName', type: 'string', - placeholder: 'documents', + placeholder: getTableName(), + additionalParams: true, + optional: true + }, + /*{ + label: 'Driver', + name: 'driver', + type: 'options', + default: 'typeorm', + description: 'Different option to connect to Postgres', + options: [ + { + label: 'TypeORM', + name: 'typeorm' + }, + { + label: 'PGVector', + name: 'pgvector' + } + ], + optional: true, + additionalParams: true + },*/ + { + label: 'Distance Strategy', + name: 'distanceStrategy', + description: 'Strategy for calculating distances between vectors', + type: 'options', + options: [ + { + label: 'Cosine', + name: 'cosine' + }, + { + label: 'Euclidean', + name: 'euclidean' + }, + { + label: 'Inner Product', + name: 'innerProduct' + } + ], + additionalParams: true, + default: 'cosine', + optional: true + }, + { + label: 'File Upload', + name: 'fileUpload', + description: 'Allow file upload on the chat', + hint: { + label: 'How to use', + value: howToUseFileUpload + }, + type: 'boolean', additionalParams: true, optional: true }, @@ -104,6 +167,15 @@ class Postgres_VectorStores implements INode { type: 'json', additionalParams: true, optional: true + }, + { + label: 'Content Column Name', + name: 'contentColumnName', + description: 'Column name to store the text content (PGVector Driver only, others use pageContent)', + type: 'string', + placeholder: getContentColumnName(), + additionalParams: true, + optional: true } ] this.outputs = [ @@ -115,7 +187,7 @@ class Postgres_VectorStores implements INode { { label: 'Postgres Vector Store', name: 'vectorStore', - baseClasses: [this.type, ...getBaseClasses(TypeORMVectorStore)] + baseClasses: [this.type, ...getBaseClasses(VectorStore)] } ] } @@ -123,56 +195,27 @@ class Postgres_VectorStores implements INode { //@ts-ignore vectorStoreMethods = { async upsert(nodeData: INodeData, options: ICommonObject): Promise> { - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const user = getCredentialParam('user', credentialData, nodeData) - const password = getCredentialParam('password', credentialData, nodeData) - const _tableName = nodeData.inputs?.tableName as string - const tableName = _tableName ? _tableName : 'documents' + const tableName = getTableName(nodeData) const docs = nodeData.inputs?.document as Document[] - const embeddings = nodeData.inputs?.embeddings as Embeddings - const additionalConfig = nodeData.inputs?.additionalConfig as string const recordManager = nodeData.inputs?.recordManager - - let additionalConfiguration = {} - if (additionalConfig) { - try { - additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) - } catch (exception) { - throw new Error('Invalid JSON in the Additional Configuration: ' + exception) - } - } - - const postgresConnectionOptions = { - ...additionalConfiguration, - type: 'postgres', - host: nodeData.inputs?.host as string, - port: nodeData.inputs?.port as number, - username: user, - password: password, - database: nodeData.inputs?.database as string - } - - const args = { - postgresConnectionOptions: postgresConnectionOptions as DataSourceOptions, - tableName: tableName - } + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean + const vectorStoreDriver: VectorStoreDriver = Postgres_VectorStores.getDriverFromConfig(nodeData, options) const flattenDocs = docs && docs.length ? flatten(docs) : [] const finalDocs = [] + for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { + if (isFileUploadEnabled && options.chatId) { + flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [FLOWISE_CHATID]: options.chatId } + } finalDocs.push(new Document(flattenDocs[i])) } } try { if (recordManager) { - const vectorStore = await TypeORMVectorStore.fromDataSource(embeddings, args) - - // Avoid Illegal invocation error - vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { - return await similaritySearchVectorWithScore(query, k, tableName, postgresConnectionOptions, filter) - } + const vectorStore = await vectorStoreDriver.instanciate() await recordManager.createSchema() @@ -189,12 +232,7 @@ class Postgres_VectorStores implements INode { return res } else { - const vectorStore = await TypeORMVectorStore.fromDocuments(finalDocs, embeddings, args) - - // Avoid Illegal invocation error - vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { - return await similaritySearchVectorWithScore(query, k, tableName, postgresConnectionOptions, filter) - } + await vectorStoreDriver.fromDocuments(finalDocs) return { numAdded: finalDocs.length, addedDocs: finalDocs } } @@ -203,40 +241,11 @@ class Postgres_VectorStores implements INode { } }, async delete(nodeData: INodeData, ids: string[], options: ICommonObject): Promise { - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const user = getCredentialParam('user', credentialData, nodeData) - const password = getCredentialParam('password', credentialData, nodeData) - const _tableName = nodeData.inputs?.tableName as string - const tableName = _tableName ? _tableName : 'documents' - const embeddings = nodeData.inputs?.embeddings as Embeddings - const additionalConfig = nodeData.inputs?.additionalConfig as string + const vectorStoreDriver: VectorStoreDriver = Postgres_VectorStores.getDriverFromConfig(nodeData, options) + const tableName = getTableName(nodeData) const recordManager = nodeData.inputs?.recordManager - let additionalConfiguration = {} - if (additionalConfig) { - try { - additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) - } catch (exception) { - throw new Error('Invalid JSON in the Additional Configuration: ' + exception) - } - } - - const postgresConnectionOptions = { - ...additionalConfiguration, - type: 'postgres', - host: nodeData.inputs?.host as string, - port: nodeData.inputs?.port as number, - username: user, - password: password, - database: nodeData.inputs?.database as string - } - - const args = { - postgresConnectionOptions: postgresConnectionOptions as DataSourceOptions, - tableName: tableName - } - - const vectorStore = await TypeORMVectorStore.fromDataSource(embeddings, args) + const vectorStore = await vectorStoreDriver.instanciate() try { if (recordManager) { @@ -257,59 +266,25 @@ class Postgres_VectorStores implements INode { } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { - const credentialData = await getCredentialData(nodeData.credential ?? '', options) - const user = getCredentialParam('user', credentialData, nodeData) - const password = getCredentialParam('password', credentialData, nodeData) - const _tableName = nodeData.inputs?.tableName as string - const tableName = _tableName ? _tableName : 'documents' - const embeddings = nodeData.inputs?.embeddings as Embeddings - const additionalConfig = nodeData.inputs?.additionalConfig as string + const vectorStoreDriver: VectorStoreDriver = Postgres_VectorStores.getDriverFromConfig(nodeData, options) const output = nodeData.outputs?.output as string const topK = nodeData.inputs?.topK as string const k = topK ? parseFloat(topK) : 4 const _pgMetadataFilter = nodeData.inputs?.pgMetadataFilter + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean let pgMetadataFilter: any if (_pgMetadataFilter) { pgMetadataFilter = typeof _pgMetadataFilter === 'object' ? _pgMetadataFilter : JSON.parse(_pgMetadataFilter) } - - let additionalConfiguration = {} - if (additionalConfig) { - try { - additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) - } catch (exception) { - throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + if (isFileUploadEnabled && options.chatId) { + pgMetadataFilter = { + ...(pgMetadataFilter || {}), + [FLOWISE_CHATID]: options.chatId } } - const postgresConnectionOptions = { - ...additionalConfiguration, - type: 'postgres', - host: nodeData.inputs?.host as string, - port: nodeData.inputs?.port as number, - username: user, // Required by TypeORMVectorStore - user: user, // Required by Pool in similaritySearchVectorWithScore - password: password, - database: nodeData.inputs?.database as string - } - - const args = { - postgresConnectionOptions: postgresConnectionOptions as DataSourceOptions, - tableName: tableName - } - - const vectorStore = await TypeORMVectorStore.fromDataSource(embeddings, args) - - // Rewrite the method to use pg pool connection instead of the default connection - /* Otherwise a connection error is displayed when the chain tries to execute the function - [chain/start] [1:chain:ConversationalRetrievalQAChain] Entering Chain run with input: { "question": "what the document is about", "chat_history": [] } - [retriever/start] [1:chain:ConversationalRetrievalQAChain > 2:retriever:VectorStoreRetriever] Entering Retriever run with input: { "query": "what the document is about" } - [ERROR]: uncaughtException: Illegal invocation TypeError: Illegal invocation at Socket.ref (node:net:1524:18) at Connection.ref (.../node_modules/pg/lib/connection.js:183:17) at Client.ref (.../node_modules/pg/lib/client.js:591:21) at BoundPool._pulseQueue (/node_modules/pg-pool/index.js:148:28) at .../node_modules/pg-pool/index.js:184:37 at process.processTicksAndRejections (node:internal/process/task_queues:77:11) - */ - vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { - return await similaritySearchVectorWithScore(query, k, tableName, postgresConnectionOptions, filter ?? pgMetadataFilter) - } + const vectorStore = await vectorStoreDriver.instanciate(pgMetadataFilter) if (output === 'retriever') { const retriever = vectorStore.asRetriever(k) @@ -323,43 +298,18 @@ class Postgres_VectorStores implements INode { } return vectorStore } -} - -const similaritySearchVectorWithScore = async ( - query: number[], - k: number, - tableName: string, - postgresConnectionOptions: ICommonObject, - filter?: any -) => { - const embeddingString = `[${query.join(',')}]` - let _filter = '{}' - if (filter && typeof filter === 'object') _filter = JSON.stringify(filter) - const queryString = ` - SELECT *, embedding <=> $1 as "_distance" - FROM ${tableName} - WHERE metadata @> $2 - ORDER BY "_distance" ASC - LIMIT $3;` - - const pool = new Pool(postgresConnectionOptions) - const conn = await pool.connect() - - const documents = await conn.query(queryString, [embeddingString, _filter, k]) - - conn.release() - - const results = [] as [TypeORMVectorStoreDocument, number][] - for (const doc of documents.rows) { - if (doc._distance != null && doc.pageContent != null) { - const document = new Document(doc) as TypeORMVectorStoreDocument - document.id = doc.id - results.push([document, doc._distance]) - } + static getDriverFromConfig(nodeData: INodeData, options: ICommonObject): VectorStoreDriver { + /*switch (nodeData.inputs?.driver) { + case 'typeorm': + return new TypeORMDriver(nodeData, options) + case 'pgvector': + return new PGVectorDriver(nodeData, options) + default: + return new TypeORMDriver(nodeData, options) + }*/ + return new TypeORMDriver(nodeData, options) } - - return results } module.exports = { nodeClass: Postgres_VectorStores } diff --git a/packages/components/nodes/vectorstores/Postgres/README.md b/packages/components/nodes/vectorstores/Postgres/README.md new file mode 100644 index 00000000000..2f85ada23bb --- /dev/null +++ b/packages/components/nodes/vectorstores/Postgres/README.md @@ -0,0 +1,19 @@ +# Postgres Vector Store + +Postgres Vector Store integration for Flowise + +## 🌱 Env Variables + +| Variable | Description | Type | Default | +| ---------------------------------------- | ----------------------------------------------------- | ------ | ----------- | +| POSTGRES_VECTORSTORE_HOST | Default `host` for Postgres Vector Store | String | | +| POSTGRES_VECTORSTORE_PORT | Default `port` for Postgres Vector Store | Number | 5432 | +| POSTGRES_VECTORSTORE_USER | Default `user` for Postgres Vector Store | String | | +| POSTGRES_VECTORSTORE_PASSWORD | Default `password` for Postgres Vector Store | String | | +| POSTGRES_VECTORSTORE_DATABASE | Default `database` for Postgres Vector Store | String | | +| POSTGRES_VECTORSTORE_TABLE_NAME | Default `tableName` for Postgres Vector Store | String | documents | +| POSTGRES_VECTORSTORE_CONTENT_COLUMN_NAME | Default `contentColumnName` for Postgres Vector Store | String | pageContent | + +## License + +Source code in this repository is made available under the [Apache License Version 2.0](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md). diff --git a/packages/components/nodes/vectorstores/Postgres/driver/Base.ts b/packages/components/nodes/vectorstores/Postgres/driver/Base.ts new file mode 100644 index 00000000000..fc1379f2682 --- /dev/null +++ b/packages/components/nodes/vectorstores/Postgres/driver/Base.ts @@ -0,0 +1,60 @@ +import { VectorStore } from '@langchain/core/vectorstores' +import { getCredentialData, getCredentialParam, ICommonObject, INodeData } from '../../../../src' +import { Document } from '@langchain/core/documents' +import { Embeddings } from '@langchain/core/embeddings' +import { getDatabase, getHost, getPort, getTableName } from '../utils' + +export abstract class VectorStoreDriver { + constructor(protected nodeData: INodeData, protected options: ICommonObject) {} + + abstract instanciate(metaDataFilters?: any): Promise + + abstract fromDocuments(documents: Document[]): Promise + + protected async adaptInstance(instance: VectorStore, _metaDataFilters?: any): Promise { + return instance + } + + getHost() { + return getHost(this.nodeData) as string + } + + getPort() { + return getPort(this.nodeData) as number + } + + getDatabase() { + return getDatabase(this.nodeData) as string + } + + getTableName() { + return this.sanitizeTableName(getTableName(this.nodeData)) + } + + getEmbeddings() { + return this.nodeData.inputs?.embeddings as Embeddings + } + + sanitizeTableName(tableName: string): string { + // Trim and normalize case, turn whitespace into underscores + tableName = tableName.trim().toLowerCase().replace(/\s+/g, '_') + + // Validate using a regex (alphanumeric and underscores only) + if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { + throw new Error('Invalid table name') + } + + return tableName + } + + async getCredentials() { + const credentialData = await getCredentialData(this.nodeData.credential ?? '', this.options) + const user = getCredentialParam('user', credentialData, this.nodeData, process.env.POSTGRES_VECTORSTORE_USER) + const password = getCredentialParam('password', credentialData, this.nodeData, process.env.POSTGRES_VECTORSTORE_PASSWORD) + + return { + user, + password + } + } +} diff --git a/packages/components/nodes/vectorstores/Postgres/driver/PGVector.ts b/packages/components/nodes/vectorstores/Postgres/driver/PGVector.ts new file mode 100644 index 00000000000..608858a1923 --- /dev/null +++ b/packages/components/nodes/vectorstores/Postgres/driver/PGVector.ts @@ -0,0 +1,127 @@ +/* +* Temporary disabled due to increasing open connections without releasing them +* Use TypeORM instead + +import { VectorStoreDriver } from './Base' +import { FLOWISE_CHATID } from '../../../../src' +import { DistanceStrategy, PGVectorStore, PGVectorStoreArgs } from '@langchain/community/vectorstores/pgvector' +import { Document } from '@langchain/core/documents' +import { PoolConfig } from 'pg' +import { getContentColumnName } from '../utils' + +export class PGVectorDriver extends VectorStoreDriver { + static CONTENT_COLUMN_NAME_DEFAULT: string = 'pageContent' + + protected _postgresConnectionOptions: PoolConfig + + protected async getPostgresConnectionOptions() { + if (!this._postgresConnectionOptions) { + const { user, password } = await this.getCredentials() + const additionalConfig = this.nodeData.inputs?.additionalConfig as string + + let additionalConfiguration = {} + + if (additionalConfig) { + try { + additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) + } catch (exception) { + throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + } + } + + this._postgresConnectionOptions = { + ...additionalConfiguration, + host: this.getHost(), + port: this.getPort(), + user: user, + password: password, + database: this.getDatabase() + } + + // Prevent using default MySQL port, otherwise will throw uncaught error and crashing the app + if (this.getHost() === '3006') { + throw new Error('Invalid port number') + } + } + + return this._postgresConnectionOptions + } + + async getArgs(): Promise { + return { + postgresConnectionOptions: await this.getPostgresConnectionOptions(), + tableName: this.getTableName(), + columns: { + contentColumnName: getContentColumnName(this.nodeData) + }, + distanceStrategy: (this.nodeData.inputs?.distanceStrategy || 'cosine') as DistanceStrategy + } + } + + async instanciate(metadataFilters?: any) { + return this.adaptInstance(await PGVectorStore.initialize(this.getEmbeddings(), await this.getArgs()), metadataFilters) + } + + async fromDocuments(documents: Document[]) { + const instance = await this.instanciate() + + await instance.addDocuments(documents) + + return this.adaptInstance(instance) + } + + protected async adaptInstance(instance: PGVectorStore, metadataFilters?: any): Promise { + const { [FLOWISE_CHATID]: chatId, ...pgMetadataFilter } = metadataFilters || {} + + const baseSimilaritySearchVectorWithScoreFn = instance.similaritySearchVectorWithScore.bind(instance) + + instance.similaritySearchVectorWithScore = async (query, k, filter) => { + return await baseSimilaritySearchVectorWithScoreFn(query, k, filter ?? pgMetadataFilter) + } + + const basePoolQueryFn = instance.pool.query.bind(instance.pool) + + // @ts-ignore + instance.pool.query = async (queryString: string, parameters: any[]) => { + if (!instance.client) { + instance.client = await instance.pool.connect() + } + + const whereClauseRegex = /WHERE ([^\n]+)/ + let chatflowOr = '' + + // Match chatflow uploaded file and keep filtering on other files: + // https://github.com/FlowiseAI/Flowise/pull/3367#discussion_r1804229295 + if (chatId) { + parameters.push({ [FLOWISE_CHATID]: chatId }) + + chatflowOr = `OR metadata @> $${parameters.length}` + } + + if (queryString.match(whereClauseRegex)) { + queryString = queryString.replace(whereClauseRegex, `WHERE (($1) AND NOT (metadata ? '${FLOWISE_CHATID}')) ${chatflowOr}`) + } else { + const orderByClauseRegex = /ORDER BY (.*)/ + // Insert WHERE clause before ORDER BY + queryString = queryString.replace( + orderByClauseRegex, + `WHERE (metadata @> '{}' AND NOT (metadata ? '${FLOWISE_CHATID}')) ${chatflowOr} + ORDER BY $1 + ` + ) + } + + // Run base function + const queryResult = await basePoolQueryFn(queryString, parameters) + + // ensure connection is released + instance.client.release() + instance.client = undefined + + return queryResult + } + + return instance + } +} +*/ diff --git a/packages/components/nodes/vectorstores/Postgres/driver/TypeORM.ts b/packages/components/nodes/vectorstores/Postgres/driver/TypeORM.ts new file mode 100644 index 00000000000..65593499462 --- /dev/null +++ b/packages/components/nodes/vectorstores/Postgres/driver/TypeORM.ts @@ -0,0 +1,174 @@ +import { DataSourceOptions } from 'typeorm' +import { VectorStoreDriver } from './Base' +import { FLOWISE_CHATID, ICommonObject } from '../../../../src' +import { TypeORMVectorStore, TypeORMVectorStoreArgs, TypeORMVectorStoreDocument } from '@langchain/community/vectorstores/typeorm' +import { VectorStore } from '@langchain/core/vectorstores' +import { Document } from '@langchain/core/documents' +import { Pool } from 'pg' + +export class TypeORMDriver extends VectorStoreDriver { + protected _postgresConnectionOptions: DataSourceOptions + + protected async getPostgresConnectionOptions() { + if (!this._postgresConnectionOptions) { + const { user, password } = await this.getCredentials() + const additionalConfig = this.nodeData.inputs?.additionalConfig as string + + let additionalConfiguration = {} + + if (additionalConfig) { + try { + additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig) + } catch (exception) { + throw new Error('Invalid JSON in the Additional Configuration: ' + exception) + } + } + + this._postgresConnectionOptions = { + ...additionalConfiguration, + type: 'postgres', + host: this.getHost(), + port: this.getPort(), + username: user, // Required by TypeORMVectorStore + user: user, // Required by Pool in similaritySearchVectorWithScore + password: password, + database: this.getDatabase() + } as DataSourceOptions + + // Prevent using default MySQL port, otherwise will throw uncaught error and crashing the app + if (this.getHost() === '3006') { + throw new Error('Invalid port number') + } + } + return this._postgresConnectionOptions + } + + async getArgs(): Promise { + return { + postgresConnectionOptions: await this.getPostgresConnectionOptions(), + tableName: this.getTableName() + } + } + + async instanciate(metadataFilters?: any) { + return this.adaptInstance(await TypeORMVectorStore.fromDataSource(this.getEmbeddings(), await this.getArgs()), metadataFilters) + } + + async fromDocuments(documents: Document[]) { + return this.adaptInstance(await TypeORMVectorStore.fromDocuments(documents, this.getEmbeddings(), await this.getArgs())) + } + + sanitizeDocuments(documents: Document[]) { + // Remove NULL characters which triggers error on PG + for (var i in documents) { + documents[i].pageContent = documents[i].pageContent.replace(/\0/g, '') + } + + return documents + } + + protected async adaptInstance(instance: TypeORMVectorStore, metadataFilters?: any): Promise { + const tableName = this.getTableName() + + // Rewrite the method to use pg pool connection instead of the default connection + /* Otherwise a connection error is displayed when the chain tries to execute the function + [chain/start] [1:chain:ConversationalRetrievalQAChain] Entering Chain run with input: { "question": "what the document is about", "chat_history": [] } + [retriever/start] [1:chain:ConversationalRetrievalQAChain > 2:retriever:VectorStoreRetriever] Entering Retriever run with input: { "query": "what the document is about" } + [ERROR]: uncaughtException: Illegal invocation TypeError: Illegal invocation at Socket.ref (node:net:1524:18) at Connection.ref (.../node_modules/pg/lib/connection.js:183:17) at Client.ref (.../node_modules/pg/lib/client.js:591:21) at BoundPool._pulseQueue (/node_modules/pg-pool/index.js:148:28) at .../node_modules/pg-pool/index.js:184:37 at process.processTicksAndRejections (node:internal/process/task_queues:77:11) + */ + instance.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { + return await TypeORMDriver.similaritySearchVectorWithScore( + query, + k, + tableName, + await this.getPostgresConnectionOptions(), + filter ?? metadataFilters, + this.computedOperatorString + ) + } + + instance.delete = async (params: { ids: string[] }): Promise => { + const { ids } = params + + if (ids?.length) { + try { + instance.appDataSource.getRepository(instance.documentEntity).delete(ids) + } catch (e) { + console.error('Failed to delete') + } + } + } + + const baseAddVectorsFn = instance.addVectors.bind(instance) + + instance.addVectors = async (vectors, documents) => { + return baseAddVectorsFn(vectors, this.sanitizeDocuments(documents)) + } + + return instance + } + + get computedOperatorString() { + const { distanceStrategy = 'cosine' } = this.nodeData.inputs || {} + + switch (distanceStrategy) { + case 'cosine': + return '<=>' + case 'innerProduct': + return '<#>' + case 'euclidean': + return '<->' + default: + throw new Error(`Unknown distance strategy: ${distanceStrategy}`) + } + } + + static similaritySearchVectorWithScore = async ( + query: number[], + k: number, + tableName: string, + postgresConnectionOptions: ICommonObject, + filter?: any, + distanceOperator: string = '<=>' + ) => { + const embeddingString = `[${query.join(',')}]` + let chatflowOr = '' + const { [FLOWISE_CHATID]: chatId, ...restFilters } = filter || {} + + const _filter = JSON.stringify(restFilters || {}) + const parameters: any[] = [embeddingString, _filter, k] + + // Match chatflow uploaded file and keep filtering on other files: + // https://github.com/FlowiseAI/Flowise/pull/3367#discussion_r1804229295 + if (chatId) { + parameters.push({ [FLOWISE_CHATID]: chatId }) + chatflowOr = `OR metadata @> $${parameters.length}` + } + + const queryString = ` + SELECT *, embedding ${distanceOperator} $1 as "_distance" + FROM ${tableName} + WHERE ((metadata @> $2) AND NOT (metadata ? '${FLOWISE_CHATID}')) ${chatflowOr} + ORDER BY "_distance" ASC + LIMIT $3;` + + const pool = new Pool(postgresConnectionOptions) + + const conn = await pool.connect() + + const documents = await conn.query(queryString, parameters) + + conn.release() + + const results = [] as [TypeORMVectorStoreDocument, number][] + for (const doc of documents.rows) { + if (doc._distance != null && doc.pageContent != null) { + const document = new Document(doc) as TypeORMVectorStoreDocument + document.id = doc.id + results.push([document, doc._distance]) + } + } + + return results + } +} diff --git a/packages/components/nodes/vectorstores/Postgres/utils.ts b/packages/components/nodes/vectorstores/Postgres/utils.ts new file mode 100644 index 00000000000..e2b18b57075 --- /dev/null +++ b/packages/components/nodes/vectorstores/Postgres/utils.ts @@ -0,0 +1,21 @@ +import { defaultChain, INodeData } from '../../../src' + +export function getHost(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.host, process.env.POSTGRES_VECTORSTORE_HOST) +} + +export function getDatabase(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.database, process.env.POSTGRES_VECTORSTORE_DATABASE) +} + +export function getPort(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.port, process.env.POSTGRES_VECTORSTORE_PORT, '5432') +} + +export function getTableName(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.tableName, process.env.POSTGRES_VECTORSTORE_TABLE_NAME, 'documents') +} + +export function getContentColumnName(nodeData?: INodeData) { + return defaultChain(nodeData?.inputs?.contentColumnName, process.env.POSTGRES_VECTORSTORE_CONTENT_COLUMN_NAME, 'pageContent') +} diff --git a/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts b/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts index c12de2c7147..2bdbcf353e2 100644 --- a/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts +++ b/packages/components/nodes/vectorstores/Qdrant/Qdrant.ts @@ -6,8 +6,9 @@ import { Document } from '@langchain/core/documents' import { QdrantVectorStore, QdrantLibArgs } from '@langchain/qdrant' import { Embeddings } from '@langchain/core/embeddings' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { FLOWISE_CHATID, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { index } from '../../../src/indexing' +import { howToUseFileUpload } from '../VectorStoreUtils' type RetrieverConfig = Partial> type QdrantAddDocumentOptions = { @@ -32,7 +33,7 @@ class Qdrant_VectorStores implements INode { constructor() { this.label = 'Qdrant' this.name = 'qdrant' - this.version = 3.0 + this.version = 5.0 this.type = 'Qdrant' this.icon = 'qdrant.png' this.category = 'Vector Stores' @@ -78,6 +79,18 @@ class Qdrant_VectorStores implements INode { name: 'qdrantCollection', type: 'string' }, + { + label: 'File Upload', + name: 'fileUpload', + description: 'Allow file upload on the chat', + hint: { + label: 'How to use', + value: howToUseFileUpload + }, + type: 'boolean', + additionalParams: true, + optional: true + }, { label: 'Vector Dimension', name: 'qdrantVectorDimension', @@ -85,6 +98,24 @@ class Qdrant_VectorStores implements INode { default: 1536, additionalParams: true }, + { + label: 'Content Key', + name: 'contentPayloadKey', + description: 'The key for storing text. Default to `content`', + type: 'string', + default: 'content', + optional: true, + additionalParams: true + }, + { + label: 'Metadata Key', + name: 'metadataPayloadKey', + description: 'The key for storing metadata. Default to `metadata`', + type: 'string', + default: 'metadata', + optional: true, + additionalParams: true + }, { label: 'Upsert Batch Size', name: 'batchSize', @@ -168,6 +199,9 @@ class Qdrant_VectorStores implements INode { const qdrantVectorDimension = nodeData.inputs?.qdrantVectorDimension const recordManager = nodeData.inputs?.recordManager const _batchSize = nodeData.inputs?.batchSize + const contentPayloadKey = nodeData.inputs?.contentPayloadKey || 'content' + const metadataPayloadKey = nodeData.inputs?.metadataPayloadKey || 'metadata' + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const qdrantApiKey = getCredentialParam('qdrantApiKey', credentialData, nodeData) @@ -184,6 +218,9 @@ class Qdrant_VectorStores implements INode { const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { + if (isFileUploadEnabled && options.chatId) { + flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [FLOWISE_CHATID]: options.chatId } + } finalDocs.push(new Document(flattenDocs[i])) } } @@ -197,7 +234,9 @@ class Qdrant_VectorStores implements INode { size: qdrantVectorDimension ? parseInt(qdrantVectorDimension, 10) : 1536, distance: qdrantSimilarity ?? 'Cosine' } - } + }, + contentPayloadKey, + metadataPayloadKey } try { @@ -220,8 +259,8 @@ class Qdrant_VectorStores implements INode { id: documentOptions?.ids?.length ? documentOptions?.ids[idx] : uuid(), vector: embedding, payload: { - content: documents[idx].pageContent, - metadata: documents[idx].metadata, + [contentPayloadKey]: documents[idx].pageContent, + [metadataPayloadKey]: documents[idx].metadata, customPayload: documentOptions?.customPayload?.length ? documentOptions?.customPayload[idx] : undefined } })) @@ -367,6 +406,9 @@ class Qdrant_VectorStores implements INode { const output = nodeData.outputs?.output as string const topK = nodeData.inputs?.topK as string let queryFilter = nodeData.inputs?.qdrantFilter + const contentPayloadKey = nodeData.inputs?.contentPayloadKey || 'content' + const metadataPayloadKey = nodeData.inputs?.metadataPayloadKey || 'metadata' + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const k = topK ? parseFloat(topK) : 4 @@ -383,7 +425,9 @@ class Qdrant_VectorStores implements INode { const dbConfig: QdrantLibArgs = { client, - collectionName + collectionName, + contentPayloadKey, + metadataPayloadKey } const retrieverConfig: RetrieverConfig = { @@ -408,6 +452,25 @@ class Qdrant_VectorStores implements INode { if (queryFilter) { retrieverConfig.filter = typeof queryFilter === 'object' ? queryFilter : JSON.parse(queryFilter) } + if (isFileUploadEnabled && options.chatId) { + retrieverConfig.filter = retrieverConfig.filter || {} + + retrieverConfig.filter.should = Array.isArray(retrieverConfig.filter.should) ? retrieverConfig.filter.should : [] + + retrieverConfig.filter.should.push( + { + key: `metadata.${FLOWISE_CHATID}`, + match: { + value: options.chatId + } + }, + { + is_empty: { + key: `metadata.${FLOWISE_CHATID}` + } + } + ) + } const vectorStore = await QdrantVectorStore.fromExistingCollection(embeddings, dbConfig) diff --git a/packages/components/nodes/vectorstores/Redis/Redis.ts b/packages/components/nodes/vectorstores/Redis/Redis.ts index db8df1ea9b0..3c9fd773c64 100644 --- a/packages/components/nodes/vectorstores/Redis/Redis.ts +++ b/packages/components/nodes/vectorstores/Redis/Redis.ts @@ -1,32 +1,11 @@ -import { flatten, isEqual } from 'lodash' -import { createClient, SearchOptions, RedisClientOptions } from 'redis' +import { flatten } from 'lodash' +import { createClient, SearchOptions } from 'redis' import { Embeddings } from '@langchain/core/embeddings' import { RedisVectorStore, RedisVectorStoreConfig } from '@langchain/community/vectorstores/redis' import { Document } from '@langchain/core/documents' import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams, IndexingResult } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' -import { escapeAllStrings, escapeSpecialChars, unEscapeSpecialChars } from './utils' - -let redisClientSingleton: ReturnType -let redisClientOption: RedisClientOptions - -const getRedisClient = async (option: RedisClientOptions) => { - if (!redisClientSingleton) { - // if client doesn't exists - redisClientSingleton = createClient(option) - await redisClientSingleton.connect() - redisClientOption = option - return redisClientSingleton - } else if (redisClientSingleton && !isEqual(option, redisClientOption)) { - // if client exists but option changed - redisClientSingleton.quit() - redisClientSingleton = createClient(option) - await redisClientSingleton.connect() - redisClientOption = option - return redisClientSingleton - } - return redisClientSingleton -} +import { escapeSpecialChars, unEscapeSpecialChars } from './utils' class Redis_VectorStores implements INode { label: string @@ -163,13 +142,13 @@ class Redis_VectorStores implements INode { for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { const document = new Document(flattenDocs[i]) - escapeAllStrings(document.metadata) finalDocs.push(document) } } try { - const redisClient = await getRedisClient({ url: redisUrl }) + const redisClient = createClient({ url: redisUrl }) + await redisClient.connect() const storeConfig: RedisVectorStoreConfig = { redisClient: redisClient, @@ -203,6 +182,8 @@ class Redis_VectorStores implements INode { ) } + await redisClient.quit() + return { numAdded: finalDocs.length, addedDocs: finalDocs } } catch (e) { throw new Error(e) @@ -231,7 +212,7 @@ class Redis_VectorStores implements INode { redisUrl = 'redis://' + username + ':' + password + '@' + host + ':' + portStr } - const redisClient = await getRedisClient({ url: redisUrl }) + const redisClient = createClient({ url: redisUrl }) const storeConfig: RedisVectorStoreConfig = { redisClient: redisClient, @@ -246,7 +227,19 @@ class Redis_VectorStores implements INode { // Avoid Illegal invocation error vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { - return await similaritySearchVectorWithScore(query, k, indexName, metadataKey, vectorKey, contentKey, redisClient, filter) + await redisClient.connect() + const results = await similaritySearchVectorWithScore( + query, + k, + indexName, + metadataKey, + vectorKey, + contentKey, + redisClient, + filter + ) + await redisClient.quit() + return results } if (output === 'retriever') { diff --git a/packages/components/nodes/vectorstores/Redis/utils.ts b/packages/components/nodes/vectorstores/Redis/utils.ts index acef03ef807..dff5840da55 100644 --- a/packages/components/nodes/vectorstores/Redis/utils.ts +++ b/packages/components/nodes/vectorstores/Redis/utils.ts @@ -1,3 +1,5 @@ +import { isNil } from 'lodash' + /* * Escapes all '-' characters. * Redis Search considers '-' as a negative operator, hence we need @@ -8,6 +10,10 @@ export const escapeSpecialChars = (str: string) => { } export const escapeAllStrings = (obj: object) => { + if (isNil(obj)) { + // return if obj is null or undefined to avoid "TypeError: Cannot convert undefined or null to object" + return + } Object.keys(obj).forEach((key: string) => { // @ts-ignore let item = obj[key] diff --git a/packages/components/nodes/vectorstores/Singlestore/singlestore.svg b/packages/components/nodes/vectorstores/Singlestore/singlestore.svg index bd8dc8177ff..acab6e1f387 100644 --- a/packages/components/nodes/vectorstores/Singlestore/singlestore.svg +++ b/packages/components/nodes/vectorstores/Singlestore/singlestore.svg @@ -1,20 +1,41 @@ - - - SingleStore - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/packages/components/nodes/vectorstores/Upstash/Upstash.ts b/packages/components/nodes/vectorstores/Upstash/Upstash.ts index e41ab84903c..d126daa869c 100644 --- a/packages/components/nodes/vectorstores/Upstash/Upstash.ts +++ b/packages/components/nodes/vectorstores/Upstash/Upstash.ts @@ -1,12 +1,12 @@ import { flatten } from 'lodash' import { IndexingResult, INode, INodeOutputsValue, INodeParams, INodeData, ICommonObject } from '../../../src/Interface' -import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' +import { FLOWISE_CHATID, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { Embeddings } from '@langchain/core/embeddings' import { Document } from '@langchain/core/documents' import { UpstashVectorStore } from '@langchain/community/vectorstores/upstash' import { Index as UpstashIndex } from '@upstash/vector' import { index } from '../../../src/indexing' -import { resolveVectorStoreOrRetriever } from '../VectorStoreUtils' +import { howToUseFileUpload, resolveVectorStoreOrRetriever } from '../VectorStoreUtils' type UpstashVectorStoreParams = { index: UpstashIndex @@ -29,7 +29,7 @@ class Upstash_VectorStores implements INode { constructor() { this.label = 'Upstash Vector' this.name = 'upstash' - this.version = 1.0 + this.version = 2.0 this.type = 'Upstash' this.icon = 'upstash.svg' this.category = 'Vector Stores' @@ -63,6 +63,18 @@ class Upstash_VectorStores implements INode { description: 'Keep track of the record to prevent duplication', optional: true }, + { + label: 'File Upload', + name: 'fileUpload', + description: 'Allow file upload on the chat', + hint: { + label: 'How to use', + value: howToUseFileUpload + }, + type: 'boolean', + additionalParams: true, + optional: true + }, { label: 'Upstash Metadata Filter', name: 'upstashMetadataFilter', @@ -100,6 +112,7 @@ class Upstash_VectorStores implements INode { const docs = nodeData.inputs?.document as Document[] const embeddings = nodeData.inputs?.embeddings as Embeddings const recordManager = nodeData.inputs?.recordManager + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const UPSTASH_VECTOR_REST_URL = getCredentialParam('UPSTASH_VECTOR_REST_URL', credentialData, nodeData) @@ -114,6 +127,9 @@ class Upstash_VectorStores implements INode { const finalDocs = [] for (let i = 0; i < flattenDocs.length; i += 1) { if (flattenDocs[i] && flattenDocs[i].pageContent) { + if (isFileUploadEnabled && options.chatId) { + flattenDocs[i].metadata = { ...flattenDocs[i].metadata, [FLOWISE_CHATID]: options.chatId } + } finalDocs.push(new Document(flattenDocs[i])) } } @@ -186,6 +202,7 @@ class Upstash_VectorStores implements INode { async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const upstashMetadataFilter = nodeData.inputs?.upstashMetadataFilter const embeddings = nodeData.inputs?.embeddings as Embeddings + const isFileUploadEnabled = nodeData.inputs?.fileUpload as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const UPSTASH_VECTOR_REST_URL = getCredentialParam('UPSTASH_VECTOR_REST_URL', credentialData, nodeData) @@ -203,6 +220,10 @@ class Upstash_VectorStores implements INode { if (upstashMetadataFilter) { obj.filter = upstashMetadataFilter } + if (isFileUploadEnabled && options.chatId) { + if (upstashMetadataFilter) obj.filter += ` OR ${FLOWISE_CHATID} = "${options.chatId}" OR HAS NOT FIELD ${FLOWISE_CHATID}` + else obj.filter = `${FLOWISE_CHATID} = "${options.chatId}" OR HAS NOT FIELD ${FLOWISE_CHATID}` + } const vectorStore = await UpstashVectorStore.fromExistingIndex(embeddings, obj) diff --git a/packages/components/nodes/vectorstores/Vectara/Vectara.ts b/packages/components/nodes/vectorstores/Vectara/Vectara.ts index 462eb2bd0ed..d7260d109fb 100644 --- a/packages/components/nodes/vectorstores/Vectara/Vectara.ts +++ b/packages/components/nodes/vectorstores/Vectara/Vectara.ts @@ -194,6 +194,7 @@ class Vectara_VectorStores implements INode { const chatflowid = options.chatflowid for (const file of files) { + if (!file) continue const fileData = await getFileFromStorage(file, chatflowid) const blob = new Blob([fileData]) vectaraFiles.push({ blob: blob, fileName: getFileName(file) }) @@ -206,6 +207,7 @@ class Vectara_VectorStores implements INode { } for (const file of files) { + if (!file) continue const splitDataURI = file.split(',') splitDataURI.pop() const bf = Buffer.from(splitDataURI.pop() || '', 'base64') diff --git a/packages/components/nodes/vectorstores/VectorStoreUtils.ts b/packages/components/nodes/vectorstores/VectorStoreUtils.ts index 8b75337c1cc..c5bc941bfdd 100644 --- a/packages/components/nodes/vectorstores/VectorStoreUtils.ts +++ b/packages/components/nodes/vectorstores/VectorStoreUtils.ts @@ -83,3 +83,19 @@ export const addMMRInputParams = (inputs: any[]) => { inputs.push(...mmrInputParams) } + +export const howToUseFileUpload = ` +**File Upload** + +This allows file upload on the chat. Uploaded files will be upserted on the fly to the vector store. + +**Note:** +- You can only turn on file upload for one vector store at a time. +- At least one Document Loader node should be connected to the document input. +- Document Loader should be file types like PDF, DOCX, TXT, etc. + +**How it works** +- Uploaded files will have the metadata updated with the chatId. +- This will allow the file to be associated with the chatId. +- When querying, metadata will be filtered by chatId to retrieve files associated with the chatId. +` diff --git a/packages/components/package.json b/packages/components/package.json index 74138b985b8..67384504ee5 100644 --- a/packages/components/package.json +++ b/packages/components/package.json @@ -1,9 +1,12 @@ { "name": "flowise-components", - "version": "2.0.4", + "version": "2.2.7-patch.1", "description": "Flowiseai Components", "main": "dist/src/index", "types": "dist/src/index.d.ts", + "files": [ + "dist" + ], "scripts": { "build": "tsc && gulp", "dev:gulp": "gulp", @@ -20,14 +23,18 @@ }, "license": "SEE LICENSE IN LICENSE.md", "dependencies": { + "@apidevtools/json-schema-ref-parser": "^11.7.0", + "@arizeai/openinference-instrumentation-langchain": "^2.0.0", "@aws-sdk/client-bedrock-runtime": "3.422.0", "@aws-sdk/client-dynamodb": "^3.360.0", "@aws-sdk/client-s3": "^3.427.0", "@contentful/rich-text-plain-text-renderer": "^16.0.7", - "@datastax/astra-db-ts": "^0.1.2", + "@aws-sdk/client-secrets-manager": "^3.699.0", + "@datastax/astra-db-ts": "1.5.0", "@dqbd/tiktoken": "^1.0.7", "@e2b/code-interpreter": "^0.0.5", "@elastic/elasticsearch": "^8.9.0", + "@flowiseai/nodevm": "^3.9.25", "@getzep/zep-cloud": "~1.0.7", "@getzep/zep-js": "^0.9.0", "@gomomento/sdk": "^1.51.1", @@ -35,30 +42,38 @@ "@google-ai/generativelanguage": "^2.5.0", "@google/generative-ai": "^0.15.0", "@huggingface/inference": "^2.6.1", - "@langchain/anthropic": "^0.2.1", - "@langchain/aws": "^0.0.9", "@contentful/rich-text-types": "^16.5.2", + "@langchain/anthropic": "0.3.14", + "@langchain/aws": "0.1.4", + "@langchain/baidu-qianfan": "^0.1.0", "@langchain/cohere": "^0.0.7", - "@langchain/community": "^0.2.17", - "@langchain/core": "0.2.18", + "@langchain/community": "^0.3.34", + "@langchain/core": "0.3.37", "@langchain/exa": "^0.0.5", - "@langchain/google-genai": "^0.0.22", - "@langchain/google-vertexai": "^0.0.19", - "@langchain/groq": "^0.0.8", + "@langchain/google-genai": "0.1.9", + "@langchain/google-vertexai": "^0.2.0", + "@langchain/groq": "0.1.2", "@langchain/langgraph": "^0.0.22", - "@langchain/mistralai": "^0.0.26", + "@langchain/mistralai": "^0.2.0", "@langchain/mongodb": "^0.0.1", - "@langchain/ollama": "^0.0.2", - "@langchain/openai": "^0.0.30", - "@langchain/pinecone": "^0.0.3", + "@langchain/ollama": "0.2.0", + "@langchain/openai": "0.4.4", + "@langchain/pinecone": "^0.1.3", "@langchain/qdrant": "^0.0.5", "@langchain/weaviate": "^0.0.1", + "@langchain/xai": "^0.0.1", "@mendable/firecrawl-js": "^0.0.28", "@mistralai/mistralai": "0.1.3", + "@modelcontextprotocol/sdk": "^1.6.1", + "@modelcontextprotocol/server-brave-search": "^0.6.2", + "@modelcontextprotocol/server-github": "^2025.1.23", + "@modelcontextprotocol/server-postgres": "^0.6.2", + "@modelcontextprotocol/server-slack": "^2025.1.17", "@notionhq/client": "^2.2.8", "@opensearch-project/opensearch": "^1.2.0", - "@pinecone-database/pinecone": "2.2.2", + "@pinecone-database/pinecone": "4.0.0", "@qdrant/js-client-rest": "^1.9.0", + "@stripe/agent-toolkit": "^0.1.20", "@supabase/supabase-js": "^2.29.0", "@types/js-yaml": "^4.0.5", "@types/jsdom": "^21.1.1", @@ -67,16 +82,19 @@ "@zilliz/milvus2-sdk-node": "^2.2.24", "apify-client": "^2.7.1", "assemblyai": "^4.2.2", - "axios": "1.6.2", + "axios": "1.7.9", "cheerio": "^1.0.0-rc.12", - "chromadb": "^1.5.11", + "chromadb": "^1.10.0", "cohere-ai": "^7.7.5", + "composio-core": "^0.4.7", + "couchbase": "4.4.1", "crypto-js": "^4.1.1", "css-what": "^6.1.0", "contentful": "^10.6.14", "contentful-management": "^11.7.3", "d3-dsv": "2", "dotenv": "^16.0.0", + "epub2": "^3.0.2", "exa-js": "^1.0.12", "express": "^4.17.3", "faiss-node": "^0.5.1", @@ -88,7 +106,8 @@ "ioredis": "^5.3.2", "jsdom": "^22.1.0", "jsonpointer": "^5.0.1", - "langchain": "^0.2.11", + "jsonrepair": "^3.11.1", + "langchain": "^0.3.5", "langfuse": "3.3.4", "langfuse-langchain": "^3.3.4", "langsmith": "0.1.6", @@ -96,16 +115,20 @@ "linkifyjs": "^4.1.1", "llamaindex": "^0.3.13", "lodash": "^4.17.21", - "lunary": "^0.6.16", + "lunary": "^0.7.12", "mammoth": "^1.5.1", + "meilisearch": "^0.41.0", "moment": "^2.29.3", "mongodb": "6.3.0", - "mysql2": "^3.9.2", + "mysql2": "^3.11.3", + "neo4j-driver": "^5.26.0", "node-fetch": "^2.6.11", "node-html-markdown": "^1.3.0", "notion-to-md": "^3.1.1", "object-hash": "^3.0.0", - "openai": "^4.51.0", + "ollama": "^0.5.11", + "openai": "^4.82.0", + "papaparse": "^5.4.1", "pdf-parse": "^1.1.1", "pdfjs-dist": "^3.7.107", "pg": "^8.11.2", @@ -114,15 +137,14 @@ "pyodide": ">=0.21.0-alpha.2", "redis": "^4.6.7", "replicate": "^0.31.1", - "socket.io": "^4.6.1", + "sanitize-filename": "^1.6.3", "srt-parser-2": "^1.2.3", "typeorm": "^0.3.6", - "vm2": "^3.9.19", "weaviate-ts-client": "^1.1.0", "winston": "^3.9.0", - "ws": "^8.9.0", - "zod": "^3.22.4", "youtube-transcript": "^1.1.0", + "ws": "^8.18.0", + "zod": "3.22.4", "zod-to-json-schema": "^3.21.4" }, "devDependencies": { @@ -132,6 +154,7 @@ "@types/lodash": "^4.14.202", "@types/node-fetch": "2.6.2", "@types/object-hash": "^3.0.2", + "@types/papaparse": "^5.3.15", "@types/pg": "^8.10.2", "@types/ws": "^8.5.3", "babel-register": "^6.26.0", diff --git a/packages/components/src/Interface.ts b/packages/components/src/Interface.ts index e3e52266b45..05ab74416c7 100644 --- a/packages/components/src/Interface.ts +++ b/packages/components/src/Interface.ts @@ -95,6 +95,9 @@ export interface INodeParams { tabIdentifier?: string tabs?: Array disabled?: boolean + refresh?: boolean + freeSolo?: boolean + loadPreviousNodes?: boolean } export interface INodeExecutionData { @@ -166,6 +169,7 @@ export interface IUsedTool { toolInput: object toolOutput: string | object sourceDocuments?: ICommonObject[] + error?: string } export interface IMultiAgentNode { @@ -184,7 +188,8 @@ export interface IMultiAgentNode { checkpointMemory?: any } -type SeqAgentType = 'agent' | 'condition' | 'end' | 'start' | 'tool' | 'state' | 'llm' +type SeqAgentType = 'agent' | 'condition' | 'end' | 'start' | 'tool' | 'state' | 'llm' | 'utilities' +export type ConversationHistorySelection = 'user_question' | 'last_message' | 'all_messages' | 'empty' export interface ISeqAgentNode { id: string @@ -398,3 +403,47 @@ export interface IVisionChatModal { revertToOriginalModel(): void setMultiModalOption(multiModalOption: IMultiModalOption): void } +export interface IStateWithMessages extends ICommonObject { + messages: BaseMessage[] + [key: string]: any +} + +export interface IServerSideEventStreamer { + streamStartEvent(chatId: string, data: any): void + streamTokenEvent(chatId: string, data: string): void + streamCustomEvent(chatId: string, eventType: string, data: any): void + streamSourceDocumentsEvent(chatId: string, data: any): void + streamUsedToolsEvent(chatId: string, data: any): void + streamFileAnnotationsEvent(chatId: string, data: any): void + streamToolEvent(chatId: string, data: any): void + streamAgentReasoningEvent(chatId: string, data: any): void + streamNextAgentEvent(chatId: string, data: any): void + streamActionEvent(chatId: string, data: any): void + streamArtifactsEvent(chatId: string, data: any): void + streamAbortEvent(chatId: string): void + streamEndEvent(chatId: string): void +} + +export enum FollowUpPromptProvider { + ANTHROPIC = 'chatAnthropic', + AZURE_OPENAI = 'azureChatOpenAI', + GOOGLE_GENAI = 'chatGoogleGenerativeAI', + MISTRALAI = 'chatMistralAI', + OPENAI = 'chatOpenAI', + GROQ = 'groqChat', + OLLAMA = 'ollama' +} + +export type FollowUpPromptProviderConfig = { + [key in FollowUpPromptProvider]: { + credentialId: string + modelName: string + prompt: string + temperature: string + } +} + +export type FollowUpPromptConfig = { + status: boolean + selectedProvider: FollowUpPromptProvider +} & FollowUpPromptProviderConfig diff --git a/packages/components/src/agents.ts b/packages/components/src/agents.ts index f464a6742eb..0bda4021ceb 100644 --- a/packages/components/src/agents.ts +++ b/packages/components/src/agents.ts @@ -7,7 +7,7 @@ import { OutputParserException, BaseOutputParser, BaseLLMOutputParser } from '@l import { BaseLanguageModel } from '@langchain/core/language_models/base' import { CallbackManager, CallbackManagerForChainRun, Callbacks } from '@langchain/core/callbacks/manager' import { ToolInputParsingException, Tool, StructuredToolInterface } from '@langchain/core/tools' -import { Runnable, RunnableSequence, RunnablePassthrough } from '@langchain/core/runnables' +import { Runnable, RunnableSequence, RunnablePassthrough, type RunnableConfig } from '@langchain/core/runnables' import { Serializable } from '@langchain/core/load/serializable' import { renderTemplate } from '@langchain/core/prompts' import { ChatGeneration } from '@langchain/core/outputs' @@ -24,8 +24,11 @@ import { } from 'langchain/agents' import { formatLogToString } from 'langchain/agents/format_scratchpad/log' import { IUsedTool } from './Interface' +import { getErrorMessage } from './error' export const SOURCE_DOCUMENTS_PREFIX = '\n\n----FLOWISE_SOURCE_DOCUMENTS----\n\n' +export const ARTIFACTS_PREFIX = '\n\n----FLOWISE_ARTIFACTS----\n\n' + export type AgentFinish = { returnValues: Record log: string @@ -34,6 +37,7 @@ type AgentExecutorOutput = ChainValues interface AgentExecutorIteratorInput { agentExecutor: AgentExecutor inputs: Record + config?: RunnableConfig callbacks?: Callbacks tags?: string[] metadata?: Record @@ -49,6 +53,8 @@ export class AgentExecutorIterator extends Serializable implements AgentExecutor inputs: Record + config?: RunnableConfig + callbacks: Callbacks tags: string[] | undefined @@ -93,6 +99,7 @@ export class AgentExecutorIterator extends Serializable implements AgentExecutor this.metadata = fields.metadata this.runName = fields.runName this.runManager = fields.runManager + this.config = fields.config } /** @@ -274,6 +281,8 @@ export class AgentExecutor extends BaseChain { */ handleParsingErrors: boolean | string | ((e: OutputParserException | ToolInputParsingException) => string) = false + handleToolRuntimeErrors?: (e: Error) => string + get inputKeys() { return this.agent.inputKeys } @@ -338,19 +347,21 @@ export class AgentExecutor extends BaseChain { return this.maxIterations === undefined || iterations < this.maxIterations } - async _call(inputs: ChainValues, runManager?: CallbackManagerForChainRun): Promise { + async _call(inputs: ChainValues, runManager?: CallbackManagerForChainRun, config?: RunnableConfig): Promise { const toolsByName = Object.fromEntries(this.tools.map((t) => [t.name?.toLowerCase(), t])) const steps: AgentStep[] = [] let iterations = 0 let sourceDocuments: Array = [] const usedTools: IUsedTool[] = [] + let artifacts: any[] = [] const getOutput = async (finishStep: AgentFinish): Promise => { const { returnValues } = finishStep const additional = await this.agent.prepareForOutput(returnValues, steps) if (sourceDocuments.length) additional.sourceDocuments = flatten(sourceDocuments) if (usedTools.length) additional.usedTools = usedTools + if (artifacts.length) additional.artifacts = flatten(artifacts) if (this.returnIntermediateSteps) { return { ...returnValues, intermediateSteps: steps, ...additional } } @@ -361,7 +372,7 @@ export class AgentExecutor extends BaseChain { while (this.shouldContinue(iterations)) { let output try { - output = await this.agent.plan(steps, inputs, runManager?.getChild()) + output = await this.agent.plan(steps, inputs, runManager?.getChild(), config) } catch (e) { if (e instanceof OutputParserException) { let observation @@ -426,13 +437,17 @@ export class AgentExecutor extends BaseChain { state: inputs } ) + let toolOutput = observation + if (typeof toolOutput === 'string' && toolOutput.includes(SOURCE_DOCUMENTS_PREFIX)) { + toolOutput = toolOutput.split(SOURCE_DOCUMENTS_PREFIX)[0] + } + if (typeof toolOutput === 'string' && toolOutput.includes(ARTIFACTS_PREFIX)) { + toolOutput = toolOutput.split(ARTIFACTS_PREFIX)[0] + } usedTools.push({ tool: tool.name, toolInput: action.toolInput as any, - toolOutput: - typeof observation === 'string' && observation.includes(SOURCE_DOCUMENTS_PREFIX) - ? observation.split(SOURCE_DOCUMENTS_PREFIX)[0] - : observation + toolOutput }) } else { observation = `${action.tool} is not a valid tool, try another one.` @@ -449,7 +464,21 @@ export class AgentExecutor extends BaseChain { throw e } observation = await new ExceptionTool().call(observation, runManager?.getChild()) + usedTools.push({ + tool: tool.name, + toolInput: action.toolInput as any, + toolOutput: '', + error: getErrorMessage(e) + }) return { action, observation: observation ?? '' } + } else { + usedTools.push({ + tool: tool.name, + toolInput: action.toolInput as any, + toolOutput: '', + error: getErrorMessage(e) + }) + return { action, observation: getErrorMessage(e) } } } if (typeof observation === 'string' && observation.includes(SOURCE_DOCUMENTS_PREFIX)) { @@ -463,6 +492,16 @@ export class AgentExecutor extends BaseChain { console.error('Error parsing source documents from tool') } } + if (typeof observation === 'string' && observation.includes(ARTIFACTS_PREFIX)) { + const observationArray = observation.split(ARTIFACTS_PREFIX) + observation = observationArray[0] + try { + const artifact = JSON.parse(observationArray[1]) + artifacts.push(artifact) + } catch (e) { + console.error('Error parsing source documents from tool') + } + } return { action, observation: observation ?? '' } }) ) @@ -491,11 +530,12 @@ export class AgentExecutor extends BaseChain { nameToolMap: Record, inputs: ChainValues, intermediateSteps: AgentStep[], - runManager?: CallbackManagerForChainRun + runManager?: CallbackManagerForChainRun, + config?: RunnableConfig ): Promise { let output try { - output = await this.agent.plan(intermediateSteps, inputs, runManager?.getChild()) + output = await this.agent.plan(intermediateSteps, inputs, runManager?.getChild(), config) } catch (e) { if (e instanceof OutputParserException) { let observation @@ -566,6 +606,10 @@ export class AgentExecutor extends BaseChain { const observationArray = observation.split(SOURCE_DOCUMENTS_PREFIX) observation = observationArray[0] } + if (typeof observation === 'string' && observation.includes(ARTIFACTS_PREFIX)) { + const observationArray = observation.split(ARTIFACTS_PREFIX) + observation = observationArray[0] + } } catch (e) { if (e instanceof ToolInputParsingException) { if (this.handleParsingErrors === true) { @@ -634,10 +678,11 @@ export class AgentExecutor extends BaseChain { throw new Error(`Got unsupported early_stopping_method: ${earlyStoppingMethod}`) } - async *_streamIterator(inputs: Record): AsyncGenerator { + async *_streamIterator(inputs: Record, options?: Partial): AsyncGenerator { const agentExecutorIterator = new AgentExecutorIterator({ inputs, agentExecutor: this, + config: options, metadata: this.metadata, tags: this.tags, callbacks: this.callbacks diff --git a/packages/components/src/error.ts b/packages/components/src/error.ts new file mode 100644 index 00000000000..12ba0a67099 --- /dev/null +++ b/packages/components/src/error.ts @@ -0,0 +1,25 @@ +type ErrorWithMessage = { + message: string +} + +const isErrorWithMessage = (error: unknown): error is ErrorWithMessage => { + return ( + typeof error === 'object' && error !== null && 'message' in error && typeof (error as Record).message === 'string' + ) +} + +const toErrorWithMessage = (maybeError: unknown): ErrorWithMessage => { + if (isErrorWithMessage(maybeError)) return maybeError + + try { + return new Error(JSON.stringify(maybeError)) + } catch { + // fallback in case there's an error stringifying the maybeError + // like with circular references for example. + return new Error(String(maybeError)) + } +} + +export const getErrorMessage = (error: unknown) => { + return toErrorWithMessage(error).message +} diff --git a/packages/components/src/followUpPrompts.ts b/packages/components/src/followUpPrompts.ts new file mode 100644 index 00000000000..b888a87d9d4 --- /dev/null +++ b/packages/components/src/followUpPrompts.ts @@ -0,0 +1,160 @@ +import { FollowUpPromptConfig, FollowUpPromptProvider, ICommonObject } from './Interface' +import { getCredentialData } from './utils' +import { ChatAnthropic } from '@langchain/anthropic' +import { ChatGoogleGenerativeAI } from '@langchain/google-genai' +import { ChatMistralAI } from '@langchain/mistralai' +import { ChatOpenAI, AzureChatOpenAI } from '@langchain/openai' +import { z } from 'zod' +import { PromptTemplate } from '@langchain/core/prompts' +import { StructuredOutputParser } from '@langchain/core/output_parsers' +import { ChatGroq } from '@langchain/groq' +import ollama from 'ollama' + +const FollowUpPromptType = z + .object({ + questions: z.array(z.string()) + }) + .describe('Generate Follow Up Prompts') + +export const generateFollowUpPrompts = async ( + followUpPromptsConfig: FollowUpPromptConfig, + apiMessageContent: string, + options: ICommonObject +) => { + if (followUpPromptsConfig) { + if (!followUpPromptsConfig.status) return undefined + const providerConfig = followUpPromptsConfig[followUpPromptsConfig.selectedProvider] + if (!providerConfig) return undefined + const credentialId = providerConfig.credentialId as string + const credentialData = await getCredentialData(credentialId ?? '', options) + const followUpPromptsPrompt = providerConfig.prompt.replace('{history}', apiMessageContent) + + switch (followUpPromptsConfig.selectedProvider) { + case FollowUpPromptProvider.ANTHROPIC: { + const llm = new ChatAnthropic({ + apiKey: credentialData.anthropicApiKey, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + const structuredLLM = llm.withStructuredOutput(FollowUpPromptType) + const structuredResponse = await structuredLLM.invoke(followUpPromptsPrompt) + return structuredResponse + } + case FollowUpPromptProvider.AZURE_OPENAI: { + const azureOpenAIApiKey = credentialData['azureOpenAIApiKey'] + const azureOpenAIApiInstanceName = credentialData['azureOpenAIApiInstanceName'] + const azureOpenAIApiDeploymentName = credentialData['azureOpenAIApiDeploymentName'] + const azureOpenAIApiVersion = credentialData['azureOpenAIApiVersion'] + + const llm = new AzureChatOpenAI({ + azureOpenAIApiKey, + azureOpenAIApiInstanceName, + azureOpenAIApiDeploymentName, + azureOpenAIApiVersion, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + // use structured output parser because withStructuredOutput is not working + const parser = StructuredOutputParser.fromZodSchema(FollowUpPromptType) + const formatInstructions = parser.getFormatInstructions() + const prompt = PromptTemplate.fromTemplate(` + ${providerConfig.prompt} + + {format_instructions} + `) + const chain = prompt.pipe(llm).pipe(parser) + const structuredResponse = await chain.invoke({ + history: apiMessageContent, + format_instructions: formatInstructions + }) + return structuredResponse + } + case FollowUpPromptProvider.GOOGLE_GENAI: { + const llm = new ChatGoogleGenerativeAI({ + apiKey: credentialData.googleGenerativeAPIKey, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + // use structured output parser because withStructuredOutput is not working + const parser = StructuredOutputParser.fromZodSchema(FollowUpPromptType) + const formatInstructions = parser.getFormatInstructions() + const prompt = PromptTemplate.fromTemplate(` + ${providerConfig.prompt} + + {format_instructions} + `) + const chain = prompt.pipe(llm).pipe(parser) + const structuredResponse = await chain.invoke({ + history: apiMessageContent, + format_instructions: formatInstructions + }) + return structuredResponse + } + case FollowUpPromptProvider.MISTRALAI: { + const model = new ChatMistralAI({ + apiKey: credentialData.mistralAIAPIKey, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + // @ts-ignore + const structuredLLM = model.withStructuredOutput(FollowUpPromptType) + const structuredResponse = await structuredLLM.invoke(followUpPromptsPrompt) + return structuredResponse + } + case FollowUpPromptProvider.OPENAI: { + const model = new ChatOpenAI({ + apiKey: credentialData.openAIApiKey, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + const structuredLLM = model.withStructuredOutput(FollowUpPromptType) + const structuredResponse = await structuredLLM.invoke(followUpPromptsPrompt) + return structuredResponse + } + case FollowUpPromptProvider.GROQ: { + const llm = new ChatGroq({ + apiKey: credentialData.groqApiKey, + model: providerConfig.modelName, + temperature: parseFloat(`${providerConfig.temperature}`) + }) + const structuredLLM = llm.withStructuredOutput(FollowUpPromptType) + const structuredResponse = await structuredLLM.invoke(followUpPromptsPrompt) + return structuredResponse + } + case FollowUpPromptProvider.OLLAMA: { + const response = await ollama.chat({ + model: providerConfig.modelName, + messages: [ + { + role: 'user', + content: followUpPromptsPrompt + } + ], + format: { + type: 'object', + properties: { + questions: { + type: 'array', + items: { + type: 'string' + }, + minItems: 3, + maxItems: 3, + description: 'Three follow-up questions based on the conversation history' + } + }, + required: ['questions'], + additionalProperties: false + }, + options: { + temperature: parseFloat(`${providerConfig.temperature}`) + } + }) + const result = FollowUpPromptType.parse(JSON.parse(response.message.content)) + return result + } + } + } else { + return undefined + } +} diff --git a/packages/components/src/handler.ts b/packages/components/src/handler.ts index 6fd59321d36..1ae92d70426 100644 --- a/packages/components/src/handler.ts +++ b/packages/components/src/handler.ts @@ -1,13 +1,23 @@ import { Logger } from 'winston' import { v4 as uuidv4 } from 'uuid' -import { Server } from 'socket.io' import { Client } from 'langsmith' import CallbackHandler from 'langfuse-langchain' import lunary from 'lunary' import { RunTree, RunTreeConfig, Client as LangsmithClient } from 'langsmith' import { Langfuse, LangfuseTraceClient, LangfuseSpanClient, LangfuseGenerationClient } from 'langfuse' - -import { BaseCallbackHandler } from '@langchain/core/callbacks/base' +import { LangChainInstrumentation } from '@arizeai/openinference-instrumentation-langchain' +import { Metadata } from '@grpc/grpc-js' +import opentelemetry, { Span, SpanStatusCode } from '@opentelemetry/api' +import { OTLPTraceExporter as GrpcOTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-grpc' +import { OTLPTraceExporter as ProtoOTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-proto' +import { registerInstrumentations } from '@opentelemetry/instrumentation' +import { Resource } from '@opentelemetry/resources' +import { SimpleSpanProcessor, Tracer } from '@opentelemetry/sdk-trace-base' +import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node' +import { ATTR_SERVICE_NAME, ATTR_SERVICE_VERSION } from '@opentelemetry/semantic-conventions' + +import { BaseCallbackHandler, NewTokenIndices, HandleLLMNewTokenCallbackFields } from '@langchain/core/callbacks/base' +import * as CallbackManagerModule from '@langchain/core/callbacks/manager' import { LangChainTracer, LangChainTracerFields } from '@langchain/core/tracers/tracer_langchain' import { BaseTracer, Run } from '@langchain/core/tracers/base' import { ChainValues } from '@langchain/core/utils/types' @@ -15,13 +25,101 @@ import { AgentAction } from '@langchain/core/agents' import { LunaryHandler } from '@langchain/community/callbacks/handlers/lunary' import { getCredentialData, getCredentialParam, getEnvironmentVariable } from './utils' -import { ICommonObject, INodeData } from './Interface' +import { ICommonObject, IDatabaseEntity, INodeData, IServerSideEventStreamer } from './Interface' import { LangWatch, LangWatchSpan, LangWatchTrace, autoconvertTypedValues } from 'langwatch' +import { DataSource } from 'typeorm' +import { ChatGenerationChunk } from '@langchain/core/outputs' +import { AIMessageChunk } from '@langchain/core/messages' interface AgentRun extends Run { actions: AgentAction[] } +interface ArizeTracerOptions { + apiKey: string + spaceId: string + baseUrl: string + projectName: string + sdkIntegration?: string + sessionId?: string + enableCallback?: boolean +} + +function getArizeTracer(options: ArizeTracerOptions): Tracer | undefined { + const SEMRESATTRS_PROJECT_NAME = 'openinference.project.name' + try { + const metadata = new Metadata() + metadata.set('api_key', options.apiKey) + metadata.set('space_id', options.spaceId) + const traceExporter = new GrpcOTLPTraceExporter({ + url: `${options.baseUrl}/v1`, + metadata + }) + const tracerProvider = new NodeTracerProvider({ + resource: new Resource({ + [ATTR_SERVICE_NAME]: options.projectName, + [ATTR_SERVICE_VERSION]: '1.0.0', + [SEMRESATTRS_PROJECT_NAME]: options.projectName, + model_id: options.projectName + }) + }) + tracerProvider.addSpanProcessor(new SimpleSpanProcessor(traceExporter)) + if (options.enableCallback) { + registerInstrumentations({ + instrumentations: [] + }) + const lcInstrumentation = new LangChainInstrumentation() + lcInstrumentation.manuallyInstrument(CallbackManagerModule) + tracerProvider.register() + } + return tracerProvider.getTracer(`arize-tracer-${uuidv4().toString()}`) + } catch (err) { + if (process.env.DEBUG === 'true') console.error(`Error setting up Arize tracer: ${err.message}`) + return undefined + } +} + +interface PhoenixTracerOptions { + apiKey: string + baseUrl: string + projectName: string + sdkIntegration?: string + sessionId?: string + enableCallback?: boolean +} + +function getPhoenixTracer(options: PhoenixTracerOptions): Tracer | undefined { + const SEMRESATTRS_PROJECT_NAME = 'openinference.project.name' + try { + const traceExporter = new ProtoOTLPTraceExporter({ + url: `${options.baseUrl}/v1/traces`, + headers: { + api_key: options.apiKey + } + }) + const tracerProvider = new NodeTracerProvider({ + resource: new Resource({ + [ATTR_SERVICE_NAME]: options.projectName, + [ATTR_SERVICE_VERSION]: '1.0.0', + [SEMRESATTRS_PROJECT_NAME]: options.projectName + }) + }) + tracerProvider.addSpanProcessor(new SimpleSpanProcessor(traceExporter)) + if (options.enableCallback) { + registerInstrumentations({ + instrumentations: [] + }) + const lcInstrumentation = new LangChainInstrumentation() + lcInstrumentation.manuallyInstrument(CallbackManagerModule) + tracerProvider.register() + } + return tracerProvider.getTracer(`phoenix-tracer-${uuidv4().toString()}`) + } catch (err) { + if (process.env.DEBUG === 'true') console.error(`Error setting up Phoenix tracer: ${err.message}`) + return undefined + } +} + function tryGetJsonSpaces() { try { return parseInt(getEnvironmentVariable('LOG_JSON_SPACES') ?? '2') @@ -91,6 +189,7 @@ export class ConsoleCallbackHandler extends BaseTracer { onChainStart(run: Run) { const crumbs = this.getBreadcrumbs(run) + this.logger.verbose(`[chain/start] [${crumbs}] Entering Chain run with input: ${tryJsonStringify(run.inputs, '[inputs]')}`) } @@ -163,16 +262,16 @@ export class ConsoleCallbackHandler extends BaseTracer { export class CustomChainHandler extends BaseCallbackHandler { name = 'custom_chain_handler' isLLMStarted = false - socketIO: Server - socketIOClientId = '' skipK = 0 // Skip streaming for first K numbers of handleLLMStart returnSourceDocuments = false cachedResponse = true + chatId: string = '' + sseStreamer: IServerSideEventStreamer | undefined - constructor(socketIO: Server, socketIOClientId: string, skipK?: number, returnSourceDocuments?: boolean) { + constructor(sseStreamer: IServerSideEventStreamer | undefined, chatId: string, skipK?: number, returnSourceDocuments?: boolean) { super() - this.socketIO = socketIO - this.socketIOClientId = socketIOClientId + this.sseStreamer = sseStreamer + this.chatId = chatId this.skipK = skipK ?? this.skipK this.returnSourceDocuments = returnSourceDocuments ?? this.returnSourceDocuments } @@ -182,18 +281,40 @@ export class CustomChainHandler extends BaseCallbackHandler { if (this.skipK > 0) this.skipK -= 1 } - handleLLMNewToken(token: string) { + handleLLMNewToken( + token: string, + idx?: NewTokenIndices, + runId?: string, + parentRunId?: string, + tags?: string[], + fields?: HandleLLMNewTokenCallbackFields + ): void | Promise { if (this.skipK === 0) { if (!this.isLLMStarted) { this.isLLMStarted = true - this.socketIO.to(this.socketIOClientId).emit('start', token) + if (this.sseStreamer) { + this.sseStreamer.streamStartEvent(this.chatId, token) + } + } + if (this.sseStreamer) { + if (token) { + const chunk = fields?.chunk as ChatGenerationChunk + const message = chunk?.message as AIMessageChunk + const toolCalls = message?.tool_call_chunks || [] + + // Only stream when token is not empty and not a tool call + if (toolCalls.length === 0) { + this.sseStreamer.streamTokenEvent(this.chatId, token) + } + } } - this.socketIO.to(this.socketIOClientId).emit('token', token) } } handleLLMEnd() { - this.socketIO.to(this.socketIOClientId).emit('end') + if (this.sseStreamer) { + this.sseStreamer.streamEndEvent(this.chatId) + } } handleChainEnd(outputs: ChainValues, _: string, parentRunId?: string): void | Promise { @@ -208,22 +329,107 @@ export class CustomChainHandler extends BaseCallbackHandler { const result = cachedValue.split(/(\s+)/) result.forEach((token: string, index: number) => { if (index === 0) { - this.socketIO.to(this.socketIOClientId).emit('start', token) + if (this.sseStreamer) { + this.sseStreamer.streamStartEvent(this.chatId, token) + } + } + if (this.sseStreamer) { + this.sseStreamer.streamTokenEvent(this.chatId, token) } - this.socketIO.to(this.socketIOClientId).emit('token', token) }) - if (this.returnSourceDocuments) { - this.socketIO.to(this.socketIOClientId).emit('sourceDocuments', outputs?.sourceDocuments) + if (this.returnSourceDocuments && this.sseStreamer) { + this.sseStreamer.streamSourceDocumentsEvent(this.chatId, outputs?.sourceDocuments) + } + if (this.sseStreamer) { + this.sseStreamer.streamEndEvent(this.chatId) } - this.socketIO.to(this.socketIOClientId).emit('end') } else { - if (this.returnSourceDocuments) { - this.socketIO.to(this.socketIOClientId).emit('sourceDocuments', outputs?.sourceDocuments) + if (this.returnSourceDocuments && this.sseStreamer) { + this.sseStreamer.streamSourceDocumentsEvent(this.chatId, outputs?.sourceDocuments) } } } } +class ExtendedLunaryHandler extends LunaryHandler { + chatId: string + appDataSource: DataSource + databaseEntities: IDatabaseEntity + currentRunId: string | null + thread: any + apiMessageId: string + + constructor({ flowiseOptions, ...options }: any) { + super(options) + this.appDataSource = flowiseOptions.appDataSource + this.databaseEntities = flowiseOptions.databaseEntities + this.chatId = flowiseOptions.chatId + this.apiMessageId = flowiseOptions.apiMessageId + } + + async initThread() { + const entity = await this.appDataSource.getRepository(this.databaseEntities['Lead']).findOne({ + where: { + chatId: this.chatId + } + }) + + const userId = entity?.email ?? entity?.id + + this.thread = lunary.openThread({ + id: this.chatId, + userId, + userProps: userId + ? { + name: entity?.name ?? undefined, + email: entity?.email ?? undefined, + phone: entity?.phone ?? undefined + } + : undefined + }) + } + + async handleChainStart(chain: any, inputs: any, runId: string, parentRunId?: string, tags?: string[], metadata?: any): Promise { + // First chain (no parent run id) is the user message + if (this.chatId && !parentRunId) { + if (!this.thread) { + await this.initThread() + } + + const messageText = inputs.input || inputs.question + + const messageId = this.thread.trackMessage({ + content: messageText, + role: 'user' + }) + + // Track top level chain id for knowing when we got the final reply + this.currentRunId = runId + + // Use the messageId as the parent of the chain for reconciliation + super.handleChainStart(chain, inputs, runId, messageId, tags, metadata) + } else { + super.handleChainStart(chain, inputs, runId, parentRunId, tags, metadata) + } + } + + async handleChainEnd(outputs: ChainValues, runId: string): Promise { + if (this.chatId && runId === this.currentRunId) { + const answer = outputs.output + + this.thread.trackMessage({ + id: this.apiMessageId, + content: answer, + role: 'assistant' + }) + + this.currentRunId = null + } + + super.handleChainEnd(outputs, runId) + } +} + export const additionalCallbacks = async (nodeData: INodeData, options: ICommonObject) => { try { if (!options.analytic && !process.env.LANGFUSE_SECRET_KEY) return [] @@ -321,19 +527,22 @@ export const additionalCallbacks = async (nodeData: INodeData, options: ICommonO }) callbacks.push(handler) } else if (provider === 'lunary') { - const lunaryAppId = getCredentialParam('lunaryAppId', credentialData, nodeData) + const lunaryPublicKey = getCredentialParam('lunaryAppId', credentialData, nodeData) const lunaryEndpoint = getCredentialParam('lunaryEndpoint', credentialData, nodeData) let lunaryFields = { - appId: lunaryAppId, - apiUrl: lunaryEndpoint ?? 'https://app.lunary.ai' + publicKey: lunaryPublicKey, + apiUrl: lunaryEndpoint ?? 'https://api.lunary.ai', + runtime: 'flowise', + flowiseOptions: options } if (nodeData?.inputs?.analytics?.lunary) { lunaryFields = { ...lunaryFields, ...nodeData?.inputs?.analytics?.lunary } } - const handler = new LunaryHandler(lunaryFields) + const handler = new ExtendedLunaryHandler(lunaryFields) + callbacks.push(handler) } else if (provider === 'langWatch') { const langWatchApiKey = getCredentialParam('langWatchApiKey', credentialData, nodeData) @@ -346,6 +555,48 @@ export const additionalCallbacks = async (nodeData: INodeData, options: ICommonO const trace = langwatch.getTrace() callbacks.push(trace.getLangChainCallback()) + } else if (provider === 'arize') { + const arizeApiKey = getCredentialParam('arizeApiKey', credentialData, nodeData) + const arizeSpaceId = getCredentialParam('arizeSpaceId', credentialData, nodeData) + const arizeEndpoint = getCredentialParam('arizeEndpoint', credentialData, nodeData) + const arizeProject = analytic[provider].projectName as string + + let arizeOptions: ArizeTracerOptions = { + apiKey: arizeApiKey, + spaceId: arizeSpaceId, + baseUrl: arizeEndpoint ?? 'https://otlp.arize.com', + projectName: arizeProject ?? 'default', + sdkIntegration: 'Flowise', + enableCallback: true + } + + if (options.chatId) arizeOptions.sessionId = options.chatId + if (nodeData?.inputs?.analytics?.arize) { + arizeOptions = { ...arizeOptions, ...nodeData?.inputs?.analytics?.arize } + } + + const tracer: Tracer | undefined = getArizeTracer(arizeOptions) + callbacks.push(tracer) + } else if (provider === 'phoenix') { + const phoenixApiKey = getCredentialParam('phoenixApiKey', credentialData, nodeData) + const phoenixEndpoint = getCredentialParam('phoenixEndpoint', credentialData, nodeData) + const phoenixProject = analytic[provider].projectName as string + + let phoenixOptions: PhoenixTracerOptions = { + apiKey: phoenixApiKey, + baseUrl: phoenixEndpoint ?? 'https://app.phoenix.arize.com', + projectName: phoenixProject ?? 'default', + sdkIntegration: 'Flowise', + enableCallback: true + } + + if (options.chatId) phoenixOptions.sessionId = options.chatId + if (nodeData?.inputs?.analytics?.phoenix) { + phoenixOptions = { ...phoenixOptions, ...nodeData?.inputs?.analytics?.phoenix } + } + + const tracer: Tracer | undefined = getPhoenixTracer(phoenixOptions) + callbacks.push(tracer) } } } @@ -404,12 +655,13 @@ export class AnalyticHandler { }) this.handlers['langFuse'] = { client: langfuse } } else if (provider === 'lunary') { - const lunaryAppId = getCredentialParam('lunaryAppId', credentialData, this.nodeData) + const lunaryPublicKey = getCredentialParam('lunaryAppId', credentialData, this.nodeData) const lunaryEndpoint = getCredentialParam('lunaryEndpoint', credentialData, this.nodeData) lunary.init({ - appId: lunaryAppId, - apiUrl: lunaryEndpoint + publicKey: lunaryPublicKey, + apiUrl: lunaryEndpoint, + runtime: 'flowise' }) this.handlers['lunary'] = { client: lunary } @@ -423,6 +675,42 @@ export class AnalyticHandler { }) this.handlers['langWatch'] = { client: langwatch } + } else if (provider === 'arize') { + const arizeApiKey = getCredentialParam('arizeApiKey', credentialData, this.nodeData) + const arizeSpaceId = getCredentialParam('arizeSpaceId', credentialData, this.nodeData) + const arizeEndpoint = getCredentialParam('arizeEndpoint', credentialData, this.nodeData) + const arizeProject = analytic[provider].projectName as string + + let arizeOptions: ArizeTracerOptions = { + apiKey: arizeApiKey, + spaceId: arizeSpaceId, + baseUrl: arizeEndpoint ?? 'https://otlp.arize.com', + projectName: arizeProject ?? 'default', + sdkIntegration: 'Flowise', + enableCallback: false + } + + const arize: Tracer | undefined = getArizeTracer(arizeOptions) + const rootSpan: Span | undefined = undefined + + this.handlers['arize'] = { client: arize, arizeProject, rootSpan } + } else if (provider === 'phoenix') { + const phoenixApiKey = getCredentialParam('phoenixApiKey', credentialData, this.nodeData) + const phoenixEndpoint = getCredentialParam('phoenixEndpoint', credentialData, this.nodeData) + const phoenixProject = analytic[provider].projectName as string + + let phoenixOptions: PhoenixTracerOptions = { + apiKey: phoenixApiKey, + baseUrl: phoenixEndpoint ?? 'https://app.phoenix.arize.com', + projectName: phoenixProject ?? 'default', + sdkIntegration: 'Flowise', + enableCallback: false + } + + const phoenix: Tracer | undefined = getPhoenixTracer(phoenixOptions) + const rootSpan: Span | undefined = undefined + + this.handlers['phoenix'] = { client: phoenix, phoenixProject, rootSpan } } } } @@ -436,7 +724,9 @@ export class AnalyticHandler { langSmith: {}, langFuse: {}, lunary: {}, - langWatch: {} + langWatch: {}, + arize: {}, + phoenix: {} } if (Object.prototype.hasOwnProperty.call(this.handlers, 'langSmith')) { @@ -515,7 +805,6 @@ export class AnalyticHandler { await monitor.trackEvent('chain', 'start', { runId, name, - userId: this.options.chatId, input, ...this.nodeData?.inputs?.analytics?.lunary }) @@ -551,6 +840,74 @@ export class AnalyticHandler { } } + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const tracer: Tracer | undefined = this.handlers['arize'].client + let rootSpan: Span | undefined = this.handlers['arize'].rootSpan + + if (!parentIds || !Object.keys(parentIds).length) { + rootSpan = tracer ? tracer.startSpan('Flowise') : undefined + if (rootSpan) { + rootSpan.setAttribute('session.id', this.options.chatId) + rootSpan.setAttribute('openinference.span.kind', 'CHAIN') + rootSpan.setAttribute('input.value', input) + rootSpan.setAttribute('input.mime_type', 'text/plain') + rootSpan.setAttribute('output.value', '[Object]') + rootSpan.setAttribute('output.mime_type', 'text/plain') + rootSpan.setStatus({ code: SpanStatusCode.OK }) + rootSpan.end() + } + this.handlers['arize'].rootSpan = rootSpan + } + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const chainSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (chainSpan) { + chainSpan.setAttribute('openinference.span.kind', 'CHAIN') + chainSpan.setAttribute('input.value', JSON.stringify(input)) + chainSpan.setAttribute('input.mime_type', 'application/json') + } + const chainSpanId: any = chainSpan?.spanContext().spanId + + this.handlers['arize'].chainSpan = { [chainSpanId]: chainSpan } + returnIds['arize'].chainSpan = chainSpanId + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const tracer: Tracer | undefined = this.handlers['phoenix'].client + let rootSpan: Span | undefined = this.handlers['phoenix'].rootSpan + + if (!parentIds || !Object.keys(parentIds).length) { + rootSpan = tracer ? tracer.startSpan('Flowise') : undefined + if (rootSpan) { + rootSpan.setAttribute('session.id', this.options.chatId) + rootSpan.setAttribute('openinference.span.kind', 'CHAIN') + rootSpan.setAttribute('input.value', input) + rootSpan.setAttribute('input.mime_type', 'text/plain') + rootSpan.setAttribute('output.value', '[Object]') + rootSpan.setAttribute('output.mime_type', 'text/plain') + rootSpan.setStatus({ code: SpanStatusCode.OK }) + rootSpan.end() + } + this.handlers['phoenix'].rootSpan = rootSpan + } + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const chainSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (chainSpan) { + chainSpan.setAttribute('openinference.span.kind', 'CHAIN') + chainSpan.setAttribute('input.value', JSON.stringify(input)) + chainSpan.setAttribute('input.mime_type', 'application/json') + } + const chainSpanId: any = chainSpan?.spanContext().spanId + + this.handlers['phoenix'].chainSpan = { [chainSpanId]: chainSpan } + returnIds['phoenix'].chainSpan = chainSpanId + } + return returnIds } @@ -608,6 +965,26 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const chainSpan: Span | undefined = this.handlers['arize'].chainSpan[returnIds['arize'].chainSpan] + if (chainSpan) { + chainSpan.setAttribute('output.value', JSON.stringify(output)) + chainSpan.setAttribute('output.mime_type', 'application/json') + chainSpan.setStatus({ code: SpanStatusCode.OK }) + chainSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const chainSpan: Span | undefined = this.handlers['phoenix'].chainSpan[returnIds['phoenix'].chainSpan] + if (chainSpan) { + chainSpan.setAttribute('output.value', JSON.stringify(output)) + chainSpan.setAttribute('output.mime_type', 'application/json') + chainSpan.setStatus({ code: SpanStatusCode.OK }) + chainSpan.end() + } + } } async onChainError(returnIds: ICommonObject, error: string | object, shutdown = false) { @@ -666,13 +1043,36 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const chainSpan: Span | undefined = this.handlers['arize'].chainSpan[returnIds['arize'].chainSpan] + if (chainSpan) { + chainSpan.setAttribute('error.value', JSON.stringify(error)) + chainSpan.setAttribute('error.mime_type', 'application/json') + chainSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + chainSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const chainSpan: Span | undefined = this.handlers['phoenix'].chainSpan[returnIds['phoenix'].chainSpan] + if (chainSpan) { + chainSpan.setAttribute('error.value', JSON.stringify(error)) + chainSpan.setAttribute('error.mime_type', 'application/json') + chainSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + chainSpan.end() + } + } } async onLLMStart(name: string, input: string, parentIds: ICommonObject) { const returnIds: ICommonObject = { langSmith: {}, langFuse: {}, - lunary: {} + lunary: {}, + langWatch: {}, + arize: {}, + phoenix: {} } if (Object.prototype.hasOwnProperty.call(this.handlers, 'langSmith')) { @@ -713,7 +1113,6 @@ export class AnalyticHandler { runId, parentRunId: chainEventId, name, - userId: this.options.chatId, input }) this.handlers['lunary'].llmEvent = { [runId]: runId } @@ -733,6 +1132,44 @@ export class AnalyticHandler { } } + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const tracer: Tracer | undefined = this.handlers['arize'].client + const rootSpan: Span | undefined = this.handlers['arize'].rootSpan + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const llmSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (llmSpan) { + llmSpan.setAttribute('openinference.span.kind', 'LLM') + llmSpan.setAttribute('input.value', JSON.stringify(input)) + llmSpan.setAttribute('input.mime_type', 'application/json') + } + const llmSpanId: any = llmSpan?.spanContext().spanId + + this.handlers['arize'].llmSpan = { [llmSpanId]: llmSpan } + returnIds['arize'].llmSpan = llmSpanId + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const tracer: Tracer | undefined = this.handlers['phoenix'].client + const rootSpan: Span | undefined = this.handlers['phoenix'].rootSpan + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const llmSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (llmSpan) { + llmSpan.setAttribute('openinference.span.kind', 'LLM') + llmSpan.setAttribute('input.value', JSON.stringify(input)) + llmSpan.setAttribute('input.mime_type', 'application/json') + } + const llmSpanId: any = llmSpan?.spanContext().spanId + + this.handlers['phoenix'].llmSpan = { [llmSpanId]: llmSpan } + returnIds['phoenix'].llmSpan = llmSpanId + } + return returnIds } @@ -778,6 +1215,26 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const llmSpan: Span | undefined = this.handlers['arize'].llmSpan[returnIds['arize'].llmSpan] + if (llmSpan) { + llmSpan.setAttribute('output.value', JSON.stringify(output)) + llmSpan.setAttribute('output.mime_type', 'application/json') + llmSpan.setStatus({ code: SpanStatusCode.OK }) + llmSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const llmSpan: Span | undefined = this.handlers['phoenix'].llmSpan[returnIds['phoenix'].llmSpan] + if (llmSpan) { + llmSpan.setAttribute('output.value', JSON.stringify(output)) + llmSpan.setAttribute('output.mime_type', 'application/json') + llmSpan.setStatus({ code: SpanStatusCode.OK }) + llmSpan.end() + } + } } async onLLMError(returnIds: ICommonObject, error: string | object) { @@ -822,13 +1279,36 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const llmSpan: Span | undefined = this.handlers['arize'].llmSpan[returnIds['arize'].llmSpan] + if (llmSpan) { + llmSpan.setAttribute('error.value', JSON.stringify(error)) + llmSpan.setAttribute('error.mime_type', 'application/json') + llmSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + llmSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const llmSpan: Span | undefined = this.handlers['phoenix'].llmSpan[returnIds['phoenix'].llmSpan] + if (llmSpan) { + llmSpan.setAttribute('error.value', JSON.stringify(error)) + llmSpan.setAttribute('error.mime_type', 'application/json') + llmSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + llmSpan.end() + } + } } async onToolStart(name: string, input: string | object, parentIds: ICommonObject) { const returnIds: ICommonObject = { langSmith: {}, langFuse: {}, - lunary: {} + lunary: {}, + langWatch: {}, + arize: {}, + phoenix: {} } if (Object.prototype.hasOwnProperty.call(this.handlers, 'langSmith')) { @@ -869,7 +1349,6 @@ export class AnalyticHandler { runId, parentRunId: chainEventId, name, - userId: this.options.chatId, input }) this.handlers['lunary'].toolEvent = { [runId]: runId } @@ -890,6 +1369,44 @@ export class AnalyticHandler { } } + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const tracer: Tracer | undefined = this.handlers['arize'].client + const rootSpan: Span | undefined = this.handlers['arize'].rootSpan + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const toolSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (toolSpan) { + toolSpan.setAttribute('openinference.span.kind', 'TOOL') + toolSpan.setAttribute('input.value', JSON.stringify(input)) + toolSpan.setAttribute('input.mime_type', 'application/json') + } + const toolSpanId: any = toolSpan?.spanContext().spanId + + this.handlers['arize'].toolSpan = { [toolSpanId]: toolSpan } + returnIds['arize'].toolSpan = toolSpanId + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const tracer: Tracer | undefined = this.handlers['phoenix'].client + const rootSpan: Span | undefined = this.handlers['phoenix'].rootSpan + + const rootSpanContext = rootSpan + ? opentelemetry.trace.setSpan(opentelemetry.context.active(), rootSpan as Span) + : opentelemetry.context.active() + const toolSpan = tracer?.startSpan(name, undefined, rootSpanContext) + if (toolSpan) { + toolSpan.setAttribute('openinference.span.kind', 'TOOL') + toolSpan.setAttribute('input.value', JSON.stringify(input)) + toolSpan.setAttribute('input.mime_type', 'application/json') + } + const toolSpanId: any = toolSpan?.spanContext().spanId + + this.handlers['phoenix'].toolSpan = { [toolSpanId]: toolSpan } + returnIds['phoenix'].toolSpan = toolSpanId + } + return returnIds } @@ -935,6 +1452,26 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const toolSpan: Span | undefined = this.handlers['arize'].toolSpan[returnIds['arize'].toolSpan] + if (toolSpan) { + toolSpan.setAttribute('output.value', JSON.stringify(output)) + toolSpan.setAttribute('output.mime_type', 'application/json') + toolSpan.setStatus({ code: SpanStatusCode.OK }) + toolSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const toolSpan: Span | undefined = this.handlers['phoenix'].toolSpan[returnIds['phoenix'].toolSpan] + if (toolSpan) { + toolSpan.setAttribute('output.value', JSON.stringify(output)) + toolSpan.setAttribute('output.mime_type', 'application/json') + toolSpan.setStatus({ code: SpanStatusCode.OK }) + toolSpan.end() + } + } } async onToolError(returnIds: ICommonObject, error: string | object) { @@ -979,5 +1516,25 @@ export class AnalyticHandler { }) } } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'arize')) { + const toolSpan: Span | undefined = this.handlers['arize'].toolSpan[returnIds['arize'].toolSpan] + if (toolSpan) { + toolSpan.setAttribute('error.value', JSON.stringify(error)) + toolSpan.setAttribute('error.mime_type', 'application/json') + toolSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + toolSpan.end() + } + } + + if (Object.prototype.hasOwnProperty.call(this.handlers, 'phoenix')) { + const toolSpan: Span | undefined = this.handlers['phoenix'].toolSpan[returnIds['phoenix'].toolSpan] + if (toolSpan) { + toolSpan.setAttribute('error.value', JSON.stringify(error)) + toolSpan.setAttribute('error.mime_type', 'application/json') + toolSpan.setStatus({ code: SpanStatusCode.ERROR, message: error.toString() }) + toolSpan.end() + } + } } } diff --git a/packages/components/src/index.ts b/packages/components/src/index.ts index d47075018ea..ec713bec314 100644 --- a/packages/components/src/index.ts +++ b/packages/components/src/index.ts @@ -9,3 +9,4 @@ export * from './utils' export * from './speechToText' export * from './storageUtils' export * from './handler' +export * from './followUpPrompts' diff --git a/packages/components/src/speechToText.ts b/packages/components/src/speechToText.ts index 821f0221630..fbb659d54e3 100644 --- a/packages/components/src/speechToText.ts +++ b/packages/components/src/speechToText.ts @@ -3,11 +3,15 @@ import { getCredentialData } from './utils' import { type ClientOptions, OpenAIClient, toFile } from '@langchain/openai' import { AssemblyAI } from 'assemblyai' import { getFileFromStorage } from './storageUtils' +import axios from 'axios' +import Groq from 'groq-sdk' const SpeechToTextType = { OPENAI_WHISPER: 'openAIWhisper', ASSEMBLYAI_TRANSCRIBE: 'assemblyAiTranscribe', - LOCALAI_STT: 'localAISTT' + LOCALAI_STT: 'localAISTT', + AZURE_COGNITIVE: 'azureCognitive', + GROQ_WHISPER: 'groqWhisper' } export const convertSpeechToText = async (upload: IFileUpload, speechToTextConfig: ICommonObject, options: ICommonObject) => { @@ -70,6 +74,57 @@ export const convertSpeechToText = async (upload: IFileUpload, speechToTextConfi } break } + case SpeechToTextType.AZURE_COGNITIVE: { + try { + const baseUrl = `https://${credentialData.serviceRegion}.cognitiveservices.azure.com/speechtotext/transcriptions:transcribe` + const apiVersion = credentialData.apiVersion || '2024-05-15-preview' + + const formData = new FormData() + const audioBlob = new Blob([audio_file], { type: upload.type }) + formData.append('audio', audioBlob, upload.name) + + const channelsStr = speechToTextConfig.channels || '0,1' + const channels = channelsStr.split(',').map(Number) + + const definition = { + locales: [speechToTextConfig.language || 'en-US'], + profanityFilterMode: speechToTextConfig.profanityFilterMode || 'Masked', + channels + } + formData.append('definition', JSON.stringify(definition)) + + const response = await axios.post(`${baseUrl}?api-version=${apiVersion}`, formData, { + headers: { + 'Ocp-Apim-Subscription-Key': credentialData.azureSubscriptionKey, + Accept: 'application/json' + } + }) + + if (response.data && response.data.combinedPhrases.length > 0) { + return response.data.combinedPhrases[0]?.text || '' + } + return '' + } catch (error) { + throw error.response?.data || error + } + } + case SpeechToTextType.GROQ_WHISPER: { + const groqClient = new Groq({ + apiKey: credentialData.groqApiKey + }) + const file = await toFile(audio_file, upload.name) + const groqTranscription = await groqClient.audio.transcriptions.create({ + file, + model: speechToTextConfig?.model || 'whisper-large-v3', + language: speechToTextConfig?.language, + temperature: speechToTextConfig?.temperature ? parseFloat(speechToTextConfig.temperature) : undefined, + response_format: 'verbose_json' + }) + if (groqTranscription?.text) { + return groqTranscription.text + } + break + } } } else { throw new Error('Speech to text is not selected, but found a recorded audio file. Please fix the chain.') diff --git a/packages/components/src/storageUtils.ts b/packages/components/src/storageUtils.ts index 8363ebf10f1..3639553e151 100644 --- a/packages/components/src/storageUtils.ts +++ b/packages/components/src/storageUtils.ts @@ -10,6 +10,7 @@ import { } from '@aws-sdk/client-s3' import { Readable } from 'node:stream' import { getUserHome } from './utils' +import sanitize from 'sanitize-filename' export const addBase64FilesToStorage = async (fileBase64: string, chatflowid: string, fileNames: string[]) => { const storageType = getStorageType() @@ -21,7 +22,9 @@ export const addBase64FilesToStorage = async (fileBase64: string, chatflowid: st const bf = Buffer.from(splitDataURI.pop() || '', 'base64') const mime = splitDataURI[0].split(':')[1].split(';')[0] - const Key = chatflowid + '/' + filename + const sanitizedFilename = _sanitizeFilename(filename) + + const Key = chatflowid + '/' + sanitizedFilename const putObjCmd = new PutObjectCommand({ Bucket, Key, @@ -31,7 +34,7 @@ export const addBase64FilesToStorage = async (fileBase64: string, chatflowid: st }) await s3Client.send(putObjCmd) - fileNames.push(filename) + fileNames.push(sanitizedFilename) return 'FILE-STORAGE::' + JSON.stringify(fileNames) } else { const dir = path.join(getStoragePath(), chatflowid) @@ -42,20 +45,23 @@ export const addBase64FilesToStorage = async (fileBase64: string, chatflowid: st const splitDataURI = fileBase64.split(',') const filename = splitDataURI.pop()?.split(':')[1] ?? '' const bf = Buffer.from(splitDataURI.pop() || '', 'base64') + const sanitizedFilename = _sanitizeFilename(filename) - const filePath = path.join(dir, filename) + const filePath = path.join(dir, sanitizedFilename) fs.writeFileSync(filePath, bf) - fileNames.push(filename) + fileNames.push(sanitizedFilename) return 'FILE-STORAGE::' + JSON.stringify(fileNames) } } export const addArrayFilesToStorage = async (mime: string, bf: Buffer, fileName: string, fileNames: string[], ...paths: string[]) => { const storageType = getStorageType() + + const sanitizedFilename = _sanitizeFilename(fileName) if (storageType === 's3') { const { s3Client, Bucket } = getS3Config() - let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + fileName + let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + sanitizedFilename if (Key.startsWith('/')) { Key = Key.substring(1) } @@ -68,27 +74,28 @@ export const addArrayFilesToStorage = async (mime: string, bf: Buffer, fileName: Body: bf }) await s3Client.send(putObjCmd) - fileNames.push(fileName) + fileNames.push(sanitizedFilename) return 'FILE-STORAGE::' + JSON.stringify(fileNames) } else { const dir = path.join(getStoragePath(), ...paths) if (!fs.existsSync(dir)) { fs.mkdirSync(dir, { recursive: true }) } - - const filePath = path.join(dir, fileName) + const filePath = path.join(dir, sanitizedFilename) fs.writeFileSync(filePath, bf) - fileNames.push(fileName) + fileNames.push(sanitizedFilename) return 'FILE-STORAGE::' + JSON.stringify(fileNames) } } export const addSingleFileToStorage = async (mime: string, bf: Buffer, fileName: string, ...paths: string[]) => { const storageType = getStorageType() + const sanitizedFilename = _sanitizeFilename(fileName) + if (storageType === 's3') { const { s3Client, Bucket } = getS3Config() - let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + fileName + let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + sanitizedFilename if (Key.startsWith('/')) { Key = Key.substring(1) } @@ -101,25 +108,57 @@ export const addSingleFileToStorage = async (mime: string, bf: Buffer, fileName: Body: bf }) await s3Client.send(putObjCmd) - return 'FILE-STORAGE::' + fileName + return 'FILE-STORAGE::' + sanitizedFilename } else { const dir = path.join(getStoragePath(), ...paths) if (!fs.existsSync(dir)) { fs.mkdirSync(dir, { recursive: true }) } - - const filePath = path.join(dir, fileName) + const filePath = path.join(dir, sanitizedFilename) fs.writeFileSync(filePath, bf) - return 'FILE-STORAGE::' + fileName + return 'FILE-STORAGE::' + sanitizedFilename + } +} + +export const getFileFromUpload = async (filePath: string): Promise => { + const storageType = getStorageType() + if (storageType === 's3') { + const { s3Client, Bucket } = getS3Config() + + let Key = filePath + // remove the first '/' if it exists + if (Key.startsWith('/')) { + Key = Key.substring(1) + } + const getParams = { + Bucket, + Key + } + + const response = await s3Client.send(new GetObjectCommand(getParams)) + const body = response.Body + if (body instanceof Readable) { + const streamToString = await body.transformToString('base64') + if (streamToString) { + return Buffer.from(streamToString, 'base64') + } + } + // @ts-ignore + const buffer = Buffer.concat(response.Body.toArray()) + return buffer + } else { + return fs.readFileSync(filePath) } } export const getFileFromStorage = async (file: string, ...paths: string[]): Promise => { const storageType = getStorageType() + const sanitizedFilename = _sanitizeFilename(file) + if (storageType === 's3') { const { s3Client, Bucket } = getS3Config() - let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + file + let Key = paths.reduce((acc, cur) => acc + '/' + cur, '') + '/' + sanitizedFilename if (Key.startsWith('/')) { Key = Key.substring(1) } @@ -141,7 +180,7 @@ export const getFileFromStorage = async (file: string, ...paths: string[]): Prom const buffer = Buffer.concat(response.Body.toArray()) return buffer } else { - const fileInStorage = path.join(getStoragePath(), ...paths, file) + const fileInStorage = path.join(getStoragePath(), ...paths, sanitizedFilename) return fs.readFileSync(fileInStorage) } } @@ -175,6 +214,20 @@ export const removeFilesFromStorage = async (...paths: string[]) => { } } +export const removeSpecificFileFromUpload = async (filePath: string) => { + const storageType = getStorageType() + if (storageType === 's3') { + let Key = filePath + // remove the first '/' if it exists + if (Key.startsWith('/')) { + Key = Key.substring(1) + } + await _deleteS3Folder(Key) + } else { + fs.unlinkSync(filePath) + } +} + export const removeSpecificFileFromStorage = async (...paths: string[]) => { const storageType = getStorageType() if (storageType === 's3') { @@ -185,6 +238,11 @@ export const removeSpecificFileFromStorage = async (...paths: string[]) => { } await _deleteS3Folder(Key) } else { + const fileName = paths.pop() + if (fileName) { + const sanitizedFilename = _sanitizeFilename(fileName) + paths.push(sanitizedFilename) + } const file = path.join(getStoragePath(), ...paths) fs.unlinkSync(file) } @@ -282,10 +340,11 @@ export const streamStorageFile = async ( fileName: string ): Promise => { const storageType = getStorageType() + const sanitizedFilename = sanitize(fileName) if (storageType === 's3') { const { s3Client, Bucket } = getS3Config() - const Key = chatflowId + '/' + chatId + '/' + fileName + const Key = chatflowId + '/' + chatId + '/' + sanitizedFilename const getParams = { Bucket, Key @@ -297,7 +356,7 @@ export const streamStorageFile = async ( return Buffer.from(blob) } } else { - const filePath = path.join(getStoragePath(), chatflowId, chatId, fileName) + const filePath = path.join(getStoragePath(), chatflowId, chatId, sanitizedFilename) //raise error if file path is not absolute if (!path.isAbsolute(filePath)) throw new Error(`Invalid file path`) //raise error if file path contains '..' @@ -319,6 +378,7 @@ export const getS3Config = () => { const region = process.env.S3_STORAGE_REGION const Bucket = process.env.S3_STORAGE_BUCKET_NAME const customURL = process.env.S3_ENDPOINT_URL + const forcePathStyle = process.env.S3_FORCE_PATH_STYLE === 'true' ? true : false if (!region || !Bucket) { throw new Error('S3 storage configuration is missing') @@ -335,7 +395,17 @@ export const getS3Config = () => { const s3Client = new S3Client({ credentials, region, - endpoint: customURL + endpoint: customURL, + forcePathStyle: forcePathStyle }) return { s3Client, Bucket } } + +const _sanitizeFilename = (filename: string): string => { + if (filename) { + let sanitizedFilename = sanitize(filename) + // remove all leading . + return sanitizedFilename.replace(/^\.+/, '') + } + return '' +} diff --git a/packages/components/src/utils.ts b/packages/components/src/utils.ts index 6a85a4ba10b..40e1dff57f9 100644 --- a/packages/components/src/utils.ts +++ b/packages/components/src/utils.ts @@ -5,14 +5,40 @@ import * as path from 'path' import { JSDOM } from 'jsdom' import { z } from 'zod' import { DataSource } from 'typeorm' -import { ICommonObject, IDatabaseEntity, IMessage, INodeData, IVariable } from './Interface' +import { ICommonObject, IDatabaseEntity, IDocument, IMessage, INodeData, IVariable, MessageContentImageUrl } from './Interface' import { AES, enc } from 'crypto-js' +import { omit } from 'lodash' import { AIMessage, HumanMessage, BaseMessage } from '@langchain/core/messages' +import { Document } from '@langchain/core/documents' +import { getFileFromStorage } from './storageUtils' +import { GetSecretValueCommand, SecretsManagerClient, SecretsManagerClientConfig } from '@aws-sdk/client-secrets-manager' +import { customGet } from '../nodes/sequentialagents/commonUtils' +import { TextSplitter } from 'langchain/text_splitter' +import { DocumentLoader } from 'langchain/document_loaders/base' export const numberOrExpressionRegex = '^(\\d+\\.?\\d*|{{.*}})$' //return true if string consists only numbers OR expression {{}} export const notEmptyRegex = '(.|\\s)*\\S(.|\\s)*' //return true if string is not empty or blank +export const FLOWISE_CHATID = 'flowise_chatId' + +let secretsManagerClient: SecretsManagerClient | null = null +const USE_AWS_SECRETS_MANAGER = process.env.SECRETKEY_STORAGE_TYPE === 'aws' +if (USE_AWS_SECRETS_MANAGER) { + const region = process.env.SECRETKEY_AWS_REGION || 'us-east-1' // Default region if not provided + const accessKeyId = process.env.SECRETKEY_AWS_ACCESS_KEY + const secretAccessKey = process.env.SECRETKEY_AWS_SECRET_KEY + + let credentials: SecretsManagerClientConfig['credentials'] | undefined + if (accessKeyId && secretAccessKey) { + credentials = { + accessKeyId, + secretAccessKey + } + } + secretsManagerClient = new SecretsManagerClient({ credentials, region }) +} + /* - * List of dependencies allowed to be import in vm2 + * List of dependencies allowed to be import in @flowiseai/nodevm */ export const availableDependencies = [ '@aws-sdk/client-bedrock-runtime', @@ -26,6 +52,22 @@ export const availableDependencies = [ '@google-ai/generativelanguage', '@google/generative-ai', '@huggingface/inference', + '@langchain/anthropic', + '@langchain/aws', + '@langchain/cohere', + '@langchain/community', + '@langchain/core', + '@langchain/google-genai', + '@langchain/google-vertexai', + '@langchain/groq', + '@langchain/langgraph', + '@langchain/mistralai', + '@langchain/mongodb', + '@langchain/ollama', + '@langchain/openai', + '@langchain/pinecone', + '@langchain/qdrant', + '@langchain/weaviate', '@notionhq/client', '@opensearch-project/opensearch', '@pinecone-database/pinecone', @@ -229,7 +271,7 @@ export const getInputVariables = (paramValue: string): string[] => { const variableStartIdx = variableStack[variableStack.length - 1].startIdx const variableEndIdx = startIdx const variableFullPath = returnVal.substring(variableStartIdx, variableEndIdx) - inputVariables.push(variableFullPath) + if (!variableFullPath.includes(':')) inputVariables.push(variableFullPath) variableStack.pop() } startIdx += 1 @@ -237,6 +279,31 @@ export const getInputVariables = (paramValue: string): string[] => { return inputVariables } +/** + * Transform curly braces into double curly braces if the content includes a colon. + * @param input - The original string that may contain { ... } segments. + * @returns The transformed string, where { ... } containing a colon has been replaced with {{ ... }}. + */ +export const transformBracesWithColon = (input: string): string => { + // This regex will match anything of the form `{ ... }` (no nested braces). + // `[^{}]*` means: match any characters that are not `{` or `}` zero or more times. + const regex = /\{([^{}]*?)\}/g + + return input.replace(regex, (match, groupContent) => { + // groupContent is the text inside the braces `{ ... }`. + + if (groupContent.includes(':')) { + // If there's a colon in the content, we turn { ... } into {{ ... }} + // The match is the full string like: "{ answer: hello }" + // groupContent is the inner part like: " answer: hello " + return `{{${groupContent}}}` + } else { + // Otherwise, leave it as is + return match + } + }) +} + /** * Crawl all available urls given a domain url and limit * @param {string} url @@ -311,7 +378,8 @@ function getURLsFromHTML(htmlBody: string, baseURL: string): string[] { */ function normalizeURL(urlString: string): string { const urlObj = new URL(urlString) - const hostPath = urlObj.hostname + urlObj.pathname + urlObj.search + const port = urlObj.port ? `:${urlObj.port}` : '' + const hostPath = urlObj.hostname + port + urlObj.pathname + urlObj.search if (hostPath.length > 0 && hostPath.slice(-1) == '/') { // handling trailing slash return hostPath.slice(0, -1) @@ -484,10 +552,33 @@ const getEncryptionKey = async (): Promise => { * @returns {Promise} */ const decryptCredentialData = async (encryptedData: string): Promise => { - const encryptKey = await getEncryptionKey() - const decryptedData = AES.decrypt(encryptedData, encryptKey) + let decryptedDataStr: string + + if (USE_AWS_SECRETS_MANAGER && secretsManagerClient) { + try { + const command = new GetSecretValueCommand({ SecretId: encryptedData }) + const response = await secretsManagerClient.send(command) + + if (response.SecretString) { + const secretObj = JSON.parse(response.SecretString) + decryptedDataStr = JSON.stringify(secretObj) + } else { + throw new Error('Failed to retrieve secret value.') + } + } catch (error) { + console.error(error) + throw new Error('Credentials could not be decrypted.') + } + } else { + // Fallback to existing code + const encryptKey = await getEncryptionKey() + const decryptedData = AES.decrypt(encryptedData, encryptKey) + decryptedDataStr = decryptedData.toString(enc.Utf8) + } + + if (!decryptedDataStr) return {} try { - return JSON.parse(decryptedData.toString(enc.Utf8)) + return JSON.parse(decryptedDataStr) } catch (e) { console.error(e) throw new Error('Credentials could not be decrypted.') @@ -528,8 +619,19 @@ export const getCredentialData = async (selectedCredentialId: string, options: I } } -export const getCredentialParam = (paramName: string, credentialData: ICommonObject, nodeData: INodeData): any => { - return (nodeData.inputs as ICommonObject)[paramName] ?? credentialData[paramName] ?? undefined +/** + * Get first non falsy value + * + * @param {...any} values + * + * @returns {any|undefined} + */ +export const defaultChain = (...values: any[]): any | undefined => { + return values.filter(Boolean)[0] +} + +export const getCredentialParam = (paramName: string, credentialData: ICommonObject, nodeData: INodeData, defaultValue?: any): any => { + return (nodeData.inputs as ICommonObject)[paramName] ?? credentialData[paramName] ?? defaultValue ?? undefined } // reference https://www.freeformatter.com/json-escape.html @@ -588,14 +690,77 @@ export const getUserHome = (): string => { * @param {IChatMessage[]} chatmessages * @returns {BaseMessage[]} */ -export const mapChatMessageToBaseMessage = (chatmessages: any[] = []): BaseMessage[] => { +export const mapChatMessageToBaseMessage = async (chatmessages: any[] = []): Promise => { const chatHistory = [] for (const message of chatmessages) { if (message.role === 'apiMessage' || message.type === 'apiMessage') { chatHistory.push(new AIMessage(message.content || '')) } else if (message.role === 'userMessage' || message.role === 'userMessage') { - chatHistory.push(new HumanMessage(message.content || '')) + // check for image/files uploads + if (message.fileUploads) { + // example: [{"type":"stored-file","name":"0_DiXc4ZklSTo3M8J4.jpg","mime":"image/jpeg"}] + try { + let messageWithFileUploads = '' + const uploads = JSON.parse(message.fileUploads) + const imageContents: MessageContentImageUrl[] = [] + for (const upload of uploads) { + if (upload.type === 'stored-file' && upload.mime.startsWith('image')) { + const fileData = await getFileFromStorage(upload.name, message.chatflowid, message.chatId) + // as the image is stored in the server, read the file and convert it to base64 + const bf = 'data:' + upload.mime + ';base64,' + fileData.toString('base64') + + imageContents.push({ + type: 'image_url', + image_url: { + url: bf + } + }) + } else if (upload.type === 'url' && upload.mime.startsWith('image')) { + imageContents.push({ + type: 'image_url', + image_url: { + url: upload.data + } + }) + } else if (upload.type === 'stored-file:full') { + const fileLoaderNodeModule = await import('../nodes/documentloaders/File/File') + // @ts-ignore + const fileLoaderNodeInstance = new fileLoaderNodeModule.nodeClass() + const options = { + retrieveAttachmentChatId: true, + chatflowid: message.chatflowid, + chatId: message.chatId + } + const nodeData = { + inputs: { + txtFile: `FILE-STORAGE::${JSON.stringify([upload.name])}` + } + } + const documents: IDocument[] = await fileLoaderNodeInstance.init(nodeData, '', options) + const pageContents = documents.map((doc) => doc.pageContent).join('\n') + messageWithFileUploads += `${pageContents}\n\n` + } + } + const messageContent = messageWithFileUploads ? `${messageWithFileUploads}\n\n${message.content}` : message.content + chatHistory.push( + new HumanMessage({ + content: [ + { + type: 'text', + text: messageContent + }, + ...imageContents + ] + }) + ) + } catch (e) { + // failed to parse fileUploads, continue with text only + chatHistory.push(new HumanMessage(message.content || '')) + } + } else { + chatHistory.push(new HumanMessage(message.content || '')) + } } } return chatHistory @@ -643,14 +808,29 @@ export const convertSchemaToZod = (schema: string | object): ICommonObject => { const zodObj: ICommonObject = {} for (const sch of parsedSchema) { if (sch.type === 'string') { - if (sch.required) z.string({ required_error: `${sch.property} required` }).describe(sch.description) - zodObj[sch.property] = z.string().describe(sch.description) + if (sch.required) { + zodObj[sch.property] = z.string({ required_error: `${sch.property} required` }).describe(sch.description) + } else { + zodObj[sch.property] = z.string().describe(sch.description).optional() + } } else if (sch.type === 'number') { - if (sch.required) z.number({ required_error: `${sch.property} required` }).describe(sch.description) - zodObj[sch.property] = z.number().describe(sch.description) + if (sch.required) { + zodObj[sch.property] = z.number({ required_error: `${sch.property} required` }).describe(sch.description) + } else { + zodObj[sch.property] = z.number().describe(sch.description).optional() + } } else if (sch.type === 'boolean') { - if (sch.required) z.boolean({ required_error: `${sch.property} required` }).describe(sch.description) - zodObj[sch.property] = z.boolean().describe(sch.description) + if (sch.required) { + zodObj[sch.property] = z.boolean({ required_error: `${sch.property} required` }).describe(sch.description) + } else { + zodObj[sch.property] = z.boolean().describe(sch.description).optional() + } + } else if (sch.type === 'date') { + if (sch.required) { + zodObj[sch.property] = z.date({ required_error: `${sch.property} required` }).describe(sch.description) + } else { + zodObj[sch.property] = z.date().describe(sch.description).optional() + } } } return zodObj @@ -804,3 +984,202 @@ export const getVersion: () => Promise<{ version: string }> = async () => { throw new Error('None of the package.json paths could be parsed') } + +/** + * Map Ext to InputField + * @param {string} ext + * @returns {string} + */ +export const mapExtToInputField = (ext: string) => { + switch (ext) { + case '.txt': + return 'txtFile' + case '.pdf': + return 'pdfFile' + case '.json': + return 'jsonFile' + case '.csv': + case '.xls': + case '.xlsx': + return 'csvFile' + case '.jsonl': + return 'jsonlinesFile' + case '.docx': + case '.doc': + return 'docxFile' + case '.yaml': + return 'yamlFile' + default: + return 'txtFile' + } +} + +/** + * Map MimeType to InputField + * @param {string} mimeType + * @returns {string} + */ +export const mapMimeTypeToInputField = (mimeType: string) => { + switch (mimeType) { + case 'text/plain': + return 'txtFile' + case 'application/pdf': + return 'pdfFile' + case 'application/json': + return 'jsonFile' + case 'text/csv': + return 'csvFile' + case 'application/json-lines': + case 'application/jsonl': + case 'text/jsonl': + return 'jsonlinesFile' + case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document': + return 'docxFile' + case 'application/vnd.yaml': + case 'application/x-yaml': + case 'text/vnd.yaml': + case 'text/x-yaml': + case 'text/yaml': + return 'yamlFile' + default: + return 'txtFile' + } +} + +/** + * Map MimeType to Extension + * @param {string} mimeType + * @returns {string} + */ +export const mapMimeTypeToExt = (mimeType: string) => { + switch (mimeType) { + case 'text/plain': + return 'txt' + case 'application/pdf': + return 'pdf' + case 'application/json': + return 'json' + case 'text/csv': + return 'csv' + case 'application/json-lines': + case 'application/jsonl': + case 'text/jsonl': + return 'jsonl' + case 'application/msword': + return 'doc' + case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document': + return 'docx' + case 'application/vnd.ms-excel': + return 'xls' + case 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet': + return 'xlsx' + default: + return '' + } +} + +// remove invalid markdown image pattern: ![]() +export const removeInvalidImageMarkdown = (output: string): string => { + return typeof output === 'string' ? output.replace(/!\[.*?\]\((?!https?:\/\/).*?\)/g, '') : output +} + +/** + * Extract output from array + * @param {any} output + * @returns {string} + */ +export const extractOutputFromArray = (output: any): string => { + if (Array.isArray(output)) { + return output.map((o) => o.text).join('\n') + } else if (typeof output === 'object') { + if (output.text) return output.text + else return JSON.stringify(output) + } + return output +} + +/** + * Loop through the object and replace the key with the value + * @param {any} obj + * @param {any} sourceObj + * @returns {any} + */ +export const resolveFlowObjValue = (obj: any, sourceObj: any): any => { + if (typeof obj === 'object' && obj !== null) { + const resolved: any = Array.isArray(obj) ? [] : {} + for (const key in obj) { + const value = obj[key] + resolved[key] = resolveFlowObjValue(value, sourceObj) + } + return resolved + } else if (typeof obj === 'string' && obj.startsWith('$flow')) { + return customGet(sourceObj, obj) + } else { + return obj + } +} + +export const handleDocumentLoaderOutput = (docs: Document[], output: string) => { + if (output === 'document') { + return docs + } else { + let finaltext = '' + for (const doc of docs) { + finaltext += `${doc.pageContent}\n` + } + return handleEscapeCharacters(finaltext, false) + } +} + +export const parseDocumentLoaderMetadata = (metadata: object | string): object => { + if (!metadata) return {} + + if (typeof metadata !== 'object') { + return JSON.parse(metadata) + } + + return metadata +} + +export const handleDocumentLoaderMetadata = ( + docs: Document[], + _omitMetadataKeys: string, + metadata: object | string = {}, + sourceIdKey?: string +) => { + let omitMetadataKeys: string[] = [] + if (_omitMetadataKeys) { + omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) + } + + metadata = parseDocumentLoaderMetadata(metadata) + + return docs.map((doc) => ({ + ...doc, + metadata: + _omitMetadataKeys === '*' + ? metadata + : omit( + { + ...metadata, + ...doc.metadata, + ...(sourceIdKey ? { [sourceIdKey]: doc.metadata[sourceIdKey] || sourceIdKey } : undefined) + }, + omitMetadataKeys + ) + })) +} + +export const handleDocumentLoaderDocuments = async (loader: DocumentLoader, textSplitter?: TextSplitter) => { + let docs: Document[] = [] + + if (textSplitter) { + let splittedDocs = await loader.load() + splittedDocs = await textSplitter.splitDocuments(splittedDocs) + docs = splittedDocs + } else { + docs = await loader.load() + } + + return docs +} diff --git a/packages/docs/docs/developers/environment-variables.md b/packages/docs/docs/developers/environment-variables.md index 6d11862276f..11f11c23268 100644 --- a/packages/docs/docs/developers/environment-variables.md +++ b/packages/docs/docs/developers/environment-variables.md @@ -23,6 +23,7 @@ There are three different .env files you can set environment variables for Answe | LOG_PATH | Path to store log files | Root, Server | | DISABLE_FLOWISE_TELEMETRY | Disable Flowise telemetry when set to true | Root | | IFRAME_ORIGINS | Allowed origins for iframes | Root | +| CHATFLOW_DOMAIN_OVERRIDE | Overrides the chatflowDomain with a specified URL | Root, Web | | VITE_AUTH_DOMAIN | Auth0 domain for authentication | Root, UI | | VITE_AUTH_CLIENT_ID | Auth0 client ID for authentication | Root, UI | | VITE_AUTH_AUDIENCE | Auth0 audience for authentication | Root, UI | diff --git a/packages/docs/package.json b/packages/docs/package.json index de46a23b31f..e902a2c12a9 100644 --- a/packages/docs/package.json +++ b/packages/docs/package.json @@ -16,7 +16,7 @@ "@docusaurus/preset-classic": "3.5.2", "@mdx-js/react": "^3.0.0", "aai-embed": "workspace:*", - "aai-embed-react": "workspace:^", + "aai-embed-react": "workspace:*", "clsx": "^2.0.0", "prism-react-renderer": "^2.3.0", "react": "^18.0.0", @@ -38,7 +38,7 @@ "build": "docusaurus build", "clear": "docusaurus clear", "deploy": "docusaurus deploy", - "dev": "docusaurus start --port 4242", + "docs": "docusaurus start --port 4242", "docusaurus": "docusaurus", "serve": "docusaurus serve", "start": "docusaurus start --port 4242", diff --git a/packages/embed b/packages/embed index 4cc542373d4..0bcd74d0100 160000 --- a/packages/embed +++ b/packages/embed @@ -1 +1 @@ -Subproject commit 4cc542373d4d1c16ef8a67a663e38c257eb92203 +Subproject commit 0bcd74d0100724c011585da89ee7478b2888d97f diff --git a/packages/server/.env.example b/packages/server/.env.example index c6e034c96ed..dabae5a0268 100644 --- a/packages/server/.env.example +++ b/packages/server/.env.example @@ -1,7 +1,14 @@ PORT=3000 +# APIKEY_STORAGE_TYPE=json (json | db) # APIKEY_PATH=/your_api_key_path/.flowise + +# SECRETKEY_STORAGE_TYPE=local #(local | aws) # SECRETKEY_PATH=/your_api_key_path/.flowise +# FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey +# SECRETKEY_AWS_ACCESS_KEY= +# SECRETKEY_AWS_SECRET_KEY= +# SECRETKEY_AWS_REGION=us-west-2 # NUMBER_OF_PROXIES= 1 # CORS_ORIGINS=* @@ -19,11 +26,8 @@ PORT=3000 # FLOWISE_USERNAME=user # FLOWISE_PASSWORD=1234 -# FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey # FLOWISE_FILE_SIZE_LIMIT=50mb -# DISABLE_CHATFLOW_REUSE=true - # DEBUG=true # LOG_PATH=/your_log_path/.flowise/logs # LOG_LEVEL=info (error | warn | info | verbose | debug) @@ -48,6 +52,43 @@ PORT=3000 # S3_STORAGE_SECRET_ACCESS_KEY= # S3_STORAGE_REGION=us-west-2 # S3_ENDPOINT_URL= +# S3_FORCE_PATH_STYLE=false -# APIKEY_STORAGE_TYPE=json (json | db) # SHOW_COMMUNITY_NODES=true +# DISABLED_NODES=bufferMemory,chatOpenAI (comma separated list of node names to disable) + +###################### +# METRICS COLLECTION +####################### +# ENABLE_METRICS=false +# METRICS_PROVIDER=prometheus # prometheus | open_telemetry +# METRICS_INCLUDE_NODE_METRICS=true # default is true +# METRICS_SERVICE_NAME=FlowiseAI + +# ONLY NEEDED if METRICS_PROVIDER=open_telemetry +# METRICS_OPEN_TELEMETRY_METRIC_ENDPOINT=http://localhost:4318/v1/metrics +# METRICS_OPEN_TELEMETRY_PROTOCOL=http # http | grpc | proto (default is http) +# METRICS_OPEN_TELEMETRY_DEBUG=true # default is false + +# Uncomment the following lines to enable global agent proxy +# see https://www.npmjs.com/package/global-agent for more details +# GLOBAL_AGENT_HTTP_PROXY=CorporateHttpProxyUrl +# GLOBAL_AGENT_HTTPS_PROXY=CorporateHttpsProxyUrl +# GLOBAL_AGENT_NO_PROXY=ExceptionHostsToBypassProxyIfNeeded + +###################### +# QUEUE CONFIGURATION +####################### +# MODE=queue #(queue | main) +# QUEUE_NAME=flowise-queue +# QUEUE_REDIS_EVENT_STREAM_MAX_LEN=100000 +# WORKER_CONCURRENCY=100000 +# REDIS_URL= +# REDIS_HOST=localhost +# REDIS_PORT=6379 +# REDIS_USERNAME= +# REDIS_PASSWORD= +# REDIS_TLS= +# REDIS_CERT= +# REDIS_KEY= +# REDIS_CA= diff --git a/packages/server/README-ZH.md b/packages/server/README-ZH.md index 120522c4b64..a8e381b8038 100644 --- a/packages/server/README-ZH.md +++ b/packages/server/README-ZH.md @@ -47,25 +47,44 @@ npx flowise start --PORT=3000 --DEBUG=true ## 🌐 自托管 -### [Railway](https://docs.flowiseai.com/deployment/railway) +在您现有的基础设施中部署自托管的 Flowise，我们支持各种[部署](https://docs.flowiseai.com/configuration/deployment) -[![在Railway上部署](https://railway.app/button.svg)](https://railway.app/template/YK7J0v) +- [AWS](https://docs.flowiseai.com/deployment/aws) +- [Azure](https://docs.flowiseai.com/deployment/azure) +- [Digital Ocean](https://docs.flowiseai.com/deployment/digital-ocean) +- [GCP](https://docs.flowiseai.com/deployment/gcp) +-

+ 其他 -### [Render](https://docs.flowiseai.com/deployment/render) + - [Railway](https://docs.flowiseai.com/deployment/railway) -[![部署到Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render) + [![在 Railway 上部署](https://railway.app/button.svg)](https://railway.app/template/pn4G8S?referralCode=WVNPD9) -### [AWS](https://docs.flowiseai.com/deployment/aws) + - [Render](https://docs.flowiseai.com/deployment/render) -### [Azure](https://docs.flowiseai.com/deployment/azure) + [![部署到 Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render) -### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean) + - [HuggingFace Spaces](https://docs.flowiseai.com/deployment/hugging-face) -### [GCP](https://docs.flowiseai.com/deployment/gcp) + HuggingFace Spaces -## 💻 云托管 + - [Elestio](https://elest.io/open-source/flowiseai) -即将推出 + [![Deploy](https://pub-da36157c854648669813f3f76c526c2b.r2.dev/deploy-on-elestio-black.png)](https://elest.io/open-source/flowiseai) + + - [Sealos](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + [![部署到 Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + - [RepoCloud](https://repocloud.io/details/?app_id=29) + + [![部署到 RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploy.png)](https://repocloud.io/details/?app_id=29) + +
+ +## ☁️ 云托管 + +[开始使用云托管](https://flowiseai.com/) ## 🙋 支持 diff --git a/packages/server/README.md b/packages/server/README.md index 0b93b6ac2cf..5f02c13d1f5 100644 --- a/packages/server/README.md +++ b/packages/server/README.md @@ -60,25 +60,42 @@ pnpm run e2e ## 🌐 Self Host -### [Railway](https://docs.flowiseai.com/deployment/railway) +- [AWS](https://docs.flowiseai.com/deployment/aws) +- [Azure](https://docs.flowiseai.com/deployment/azure) +- [Digital Ocean](https://docs.flowiseai.com/deployment/digital-ocean) +- [GCP](https://docs.flowiseai.com/deployment/gcp) +-
+ Others -[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/YK7J0v) + - [Railway](https://docs.flowiseai.com/deployment/railway) -### [Render](https://docs.flowiseai.com/deployment/render) + [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/pn4G8S?referralCode=WVNPD9) -[![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render) + - [Render](https://docs.flowiseai.com/deployment/render) -### [AWS](https://docs.flowiseai.com/deployment/aws) + [![Deploy to Render](https://render.com/images/deploy-to-render-button.svg)](https://docs.flowiseai.com/deployment/render) -### [Azure](https://docs.flowiseai.com/deployment/azure) + - [HuggingFace Spaces](https://docs.flowiseai.com/deployment/hugging-face) -### [DigitalOcean](https://docs.flowiseai.com/deployment/digital-ocean) + HuggingFace Spaces -### [GCP](https://docs.flowiseai.com/deployment/gcp) + - [Elestio](https://elest.io/open-source/flowiseai) -## 💻 Cloud Hosted + [![Deploy on Elestio](https://elest.io/images/logos/deploy-to-elestio-btn.png)](https://elest.io/open-source/flowiseai) -Coming Soon + - [Sealos](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + [![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dflowise) + + - [RepoCloud](https://repocloud.io/details/?app_id=29) + + [![Deploy on RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploy.png)](https://repocloud.io/details/?app_id=29) + +
+ +## ☁️ Flowise Cloud + +[Get Started with Flowise Cloud](https://flowiseai.com/) ## 🙋 Support diff --git a/packages/server/marketplaces/chatflows/CSV Agent.json b/packages/server/marketplaces/chatflows/CSV Agent.json index 3c04a2a3f1f..120c98e13e1 100644 --- a/packages/server/marketplaces/chatflows/CSV Agent.json +++ b/packages/server/marketplaces/chatflows/CSV Agent.json @@ -243,7 +243,7 @@ "type": "AgentExecutor", "baseClasses": ["AgentExecutor", "BaseChain", "Runnable"], "category": "Agents", - "description": "Agent used to to answer queries on CSV data", + "description": "Agent used to answer queries on CSV data", "inputParams": [ { "label": "Csv File", @@ -301,7 +301,7 @@ "id": "csvAgent_0-output-csvAgent-AgentExecutor|BaseChain|Runnable", "name": "csvAgent", "label": "AgentExecutor", - "description": "Agent used to to answer queries on CSV data", + "description": "Agent used to answer queries on CSV data", "type": "AgentExecutor | BaseChain | Runnable" } ], diff --git a/packages/server/marketplaces/chatflows/SQL DB Chain.json b/packages/server/marketplaces/chatflows/SQL DB Chain.json index b393aefe32a..a2b62b675e8 100644 --- a/packages/server/marketplaces/chatflows/SQL DB Chain.json +++ b/packages/server/marketplaces/chatflows/SQL DB Chain.json @@ -223,7 +223,7 @@ "label": "Connection string or file path (sqlite only)", "name": "url", "type": "string", - "placeholder": "1270.0.0.1:5432/chinook", + "placeholder": "127.0.0.1:5432/chinook", "id": "sqlDatabaseChain_0-input-url-string" }, { diff --git a/packages/server/marketplaces/chatflows/SQL Prompt.json b/packages/server/marketplaces/chatflows/SQL Prompt.json index 086a348f4dc..4e2524b4de1 100644 --- a/packages/server/marketplaces/chatflows/SQL Prompt.json +++ b/packages/server/marketplaces/chatflows/SQL Prompt.json @@ -5,7 +5,7 @@ "nodes": [ { "width": 300, - "height": 513, + "height": 511, "id": "promptTemplate_0", "position": { "x": 384.4880563109088, @@ -65,7 +65,7 @@ }, { "width": 300, - "height": 508, + "height": 507, "id": "llmChain_0", "position": { "x": 770.4559230968546, @@ -164,7 +164,7 @@ }, { "width": 300, - "height": 670, + "height": 669, "id": "chatOpenAI_0", "position": { "x": 376.92707114970364, @@ -343,7 +343,7 @@ }, { "width": 300, - "height": 670, + "height": 669, "id": "chatOpenAI_1", "position": { "x": 2653.726672579251, @@ -522,7 +522,7 @@ }, { "width": 300, - "height": 508, + "height": 507, "id": "llmChain_1", "position": { "x": 3089.9937691022837, @@ -621,7 +621,7 @@ }, { "width": 300, - "height": 670, + "height": 674, "id": "customFunction_2", "position": { "x": -19.95227863012829, @@ -709,7 +709,7 @@ }, { "width": 300, - "height": 670, + "height": 674, "id": "customFunction_1", "position": { "x": 1887.4670208331604, @@ -797,7 +797,7 @@ }, { "width": 300, - "height": 513, + "height": 511, "id": "promptTemplate_1", "position": { "x": 2655.2632506040304, @@ -857,7 +857,7 @@ }, { "width": 300, - "height": 305, + "height": 304, "id": "getVariable_1", "position": { "x": 2272.8555266616872, @@ -919,7 +919,7 @@ }, { "width": 300, - "height": 356, + "height": 355, "id": "setVariable_1", "position": { "x": 1516.338224315744, @@ -991,7 +991,7 @@ }, { "width": 300, - "height": 757, + "height": 765, "id": "ifElseFunction_0", "position": { "x": 1147.8020838770517, @@ -1050,7 +1050,7 @@ "inputs": { "functionInputVariables": "{\"sqlQuery\":\"{{llmChain_0.data.instance}}\"}", "functionName": "IF SQL Query contains SELECT and WHERE", - "ifFunction": "const sqlQuery = $sqlQuery.trim();\n\nif (sqlQuery.includes(\"SELECT\") && sqlQuery.includes(\"WHERE\")) {\n return sqlQuery;\n}", + "ifFunction": "const sqlQuery = $sqlQuery.trim();\n\nconst regex = /SELECT\\s.*?(?:\\n|$)/gi;\n\n// Extracting the SQL part\nconst matches = sqlQuery.match(regex);\nconst cleanSql = matches ? matches[0].trim() : \"\";\n\nif (cleanSql.includes(\"SELECT\") && cleanSql.includes(\"WHERE\")) {\n return cleanSql;\n}", "elseFunction": "return $sqlQuery;" }, "outputAnchors": [ @@ -1092,7 +1092,7 @@ }, { "width": 300, - "height": 513, + "height": 511, "id": "promptTemplate_2", "position": { "x": 1193.7489579044463, @@ -1152,7 +1152,7 @@ }, { "width": 300, - "height": 670, + "height": 669, "id": "chatOpenAI_2", "position": { "x": 1545.1023725538003, @@ -1331,7 +1331,7 @@ }, { "width": 300, - "height": 508, + "height": 507, "id": "llmChain_2", "position": { "x": 1914.509823868027, diff --git a/packages/server/marketplaces/tools/Perplexity AI Search.json b/packages/server/marketplaces/tools/Perplexity AI Search.json index db10f19a9c5..d806650cd60 100644 --- a/packages/server/marketplaces/tools/Perplexity AI Search.json +++ b/packages/server/marketplaces/tools/Perplexity AI Search.json @@ -4,5 +4,5 @@ "color": "linear-gradient(rgb(155,190,84), rgb(176,69,245))", "iconSrc": "https://raw.githubusercontent.com/AsharibAli/project-images/main/perplexity-ai-icon.svg", "schema": "[{\"id\":1,\"property\":\"query\",\"description\":\"Query for research\",\"type\":\"string\",\"required\":true}]", - "func": "const fetch = require('node-fetch');\nconst apiKey = ''; // Put your Perplexity API key here.\n\nconst query = $query;\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Content-Type': 'application/json',\n\t\t'Authorization': `Bearer ${apiKey}`\n\t},\n\tbody: JSON.stringify({\n\t\tmodel: 'llama-3.1-sonar-small-128k-online', // Model\n\t\tmessages: [\n\t\t\t{\n\t\t\t\trole: 'system',\n\t\t\t\tcontent: 'You are a market research assistant.'\n\t\t\t},\n\t\t\t{\n\t\t\t\trole: 'user',\n\t\t\t\tcontent: query\n\t\t\t}\n\t\t]\n\t})\n};\n\ntry {\n\tconsole.log(`Sending request with query: ${query}`);\n\tconst response = await fetch('https://api.perplexity.ai/chat/completions', options);\n\tconst data = await response.json();\n\n\tif (!response.ok) {\n\t\tthrow new Error(`API error: ${response.status} ${response.statusText} - ${JSON.stringify(data)}`);\n\t}\n\n\tconsole.log('API response:', data);\n\treturn JSON.stringify(data);\n} catch (error) {\n\tconsole.error('Error occurred while fetching data from Perplexity AI:', error);\n\treturn `Error occurred while fetching data from Perplexity AI: ${error.message}`;\n}" + "func": "const fetch = require('node-fetch');\nconst apiKey = ''; // Put your Perplexity API key here.\n\nconst query = $query;\n\nconst options = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Content-Type': 'application/json',\n\t\t'Authorization': `Bearer ${apiKey}`\n\t},\n\tbody: JSON.stringify({\n\t\tmodel: 'sonar', // Model\n\t\tmessages: [\n\t\t\t{\n\t\t\t\trole: 'system',\n\t\t\t\tcontent: 'You are a market research assistant.'\n\t\t\t},\n\t\t\t{\n\t\t\t\trole: 'user',\n\t\t\t\tcontent: query\n\t\t\t}\n\t\t]\n\t})\n};\n\ntry {\n\tconsole.log(`Sending request with query: ${query}`);\n\tconst response = await fetch('https://api.perplexity.ai/chat/completions', options);\n\tconst data = await response.json();\n\n\tif (!response.ok) {\n\t\tthrow new Error(`API error: ${response.status} ${response.statusText} - ${JSON.stringify(data)}`);\n\t}\n\n\tconsole.log('API response:', data);\n\treturn JSON.stringify(data);\n} catch (error) {\n\tconsole.error('Error occurred while fetching data from Perplexity AI:', error);\n\treturn `Error occurred while fetching data from Perplexity AI: ${error.message}`;\n}" } diff --git a/packages/server/marketplaces/tools/Print or Export Text Document.json b/packages/server/marketplaces/tools/Print or Export Text Document.json new file mode 100644 index 00000000000..c670bcd6fa3 --- /dev/null +++ b/packages/server/marketplaces/tools/Print or Export Text Document.json @@ -0,0 +1,8 @@ +{ + "name": "print_or_export_text_document", + "description": "Print or export text content to various formats. Supported `inType` values include md, html, and fountain, while supported `outType` values include pdf, epub, zip, and docx. The default `inType` is md, and the default `outType` is pdf. Provide a concise file name for the document in the `name` field. Once the print or export process is initiated, a JSON response will be returned.", + "color": "linear-gradient(rgb(166,129,168), rgb(132,109,140))", + "iconSrc": "https://raw.githubusercontent.com/JotterPad/.github/refs/heads/main/jotterpad.svg", + "schema": "[{\"id\":0,\"property\":\"inType\",\"description\":\"Input type of the document: md, html, fountain\",\"type\":\"string\",\"required\":false},{\"id\":1,\"property\":\"outType\",\"description\":\"Output type of the document: pdf, epub, zip, docx\",\"type\":\"string\",\"required\":false},{\"id\":2,\"property\":\"input\",\"description\":\"Input content of the document.\",\"type\":\"string\",\"required\":false},{\"id\":3,\"property\":\"metadata\",\"description\":\"Metadata of document in JSON string.\",\"type\":\"string\",\"required\":false},{\"id\":4,\"property\":\"name\",\"description\":\"Short title or name of the document.\",\"type\":\"string\",\"required\":false}]", + "func": "const fetch = require('node-fetch');\nconst url = 'https://jotterpad.app/publicApi/v1';\nconst token = 'API_KEY';\nconst frontmatter = `---\nbaseDocumentClass: article\ndocumentClassArg: 12pt,a4paper\ngeometry: left=15mm,right=15mm,bindingoffset=0mm,top=8mm,bottom=15mm\nnoIndent: True\n---\n\n`; // Refer to https://docs.jotterpad.app, https://jotterpad.app/app/templates or https://blog.jotterpad.app/flowise-jotterpads-print-engine/ on how to use.\n\nconst input = frontmatter + ((typeof $input !== \"undefined\") ? $input : '');\n\nconst initOptions = {\n\tmethod: 'POST',\n\theaders: {\n\t\t'Authorization': `Apikey ${token}`,\n\t\t'Content-Type': 'application/json'\n\t},\n\tbody: JSON.stringify({\n\t\tinput,\n\t\tmetadata: (typeof $metadata !== \"undefined\") ? $metadata : '',\n\t\tname: (typeof $name !== \"undefined\") ? $name : 'Untitled Document'\n\t})\n};\n\nconst sleep = (ms) => {\n\treturn new Promise((resolve) => {\n\t\tsetTimeout(resolve, ms);\n\t});\n}\n\ntry {\n\tconst inType = (typeof $inType !== \"undefined\") ? $inType : 'md';\n\tconst outType = (typeof $outType !== \"undefined\") ? $outType : 'pdf';\n\tconst initResponse = await fetch(`${url}/exports/upload/${inType}/${outType}`, initOptions);\n\tconst initJson = await initResponse.json();\n\n\tif (initJson.status === 'ok' && initJson.id) { \n\t\tconst exportId = initJson.id;\n\t\tconst getOptions = {\n\t\t\tmethod: 'POST',\n\t\t\theaders: {\n\t\t\t\t'Authorization': `Apikey ${token}`,\n\t\t\t\t'Content-Type': 'application/json'\n\t\t\t},\n\t\t\tbody: JSON.stringify({\n\t\t\t\texportId\n\t\t\t})\n\t\t};\n\n\t\tfor (let k = 0 ; k < 14 ; k++) {\n\t\t\tawait sleep(k < 6 ? 20000 : 60000);\n\t\t\tconst getResponse = await fetch(`${url}/exports/get`, getOptions);\n\t\t\tconst getJson = await getResponse.json();\n\t\t\tif (getJson.status === 'ok' && getJson.exportedFile) {\n if (getJson.exportedFile.downloadUrl) {\n \t\t\t\treturn JSON.stringify({\"url\": getJson.exportedFile.downloadUrl, \"input\": input});\n }\n\t\t\t} else {\n\t\t\t\tconsole.error(getJson);\n \treturn JSON.stringify({\"error\": `Reason: Couldn't locate document`});\n\t\t\t}\n\t\t}\n \n\t} else if (initJson.status === 'auth_required') {\n\t\tconsole.error(initJson);\n\t\treturn JSON.stringify({\"error\": 'Reason: Invalid API Token'});\n\t} else if (initJson.status) {\n\t\tconsole.error(initJson);\n\t\treturn JSON.stringify({\"error\": `Reason: ${initJson.status}`});\n\t} else {\n\t\tconsole.error(initJson);\n \treturn JSON.stringify({\"error\": `Reason: Unknown`});\n\t}\n} catch (error) {\n\tconsole.error(error);\n\treturn JSON.stringify({\"error\": `Reason: Unknown`});\n}" +} diff --git a/packages/server/package.json b/packages/server/package.json index 8a048422a35..e2938e97d7b 100644 --- a/packages/server/package.json +++ b/packages/server/package.json @@ -1,6 +1,6 @@ { "name": "flowise", - "version": "2.0.4", + "version": "2.2.7", "description": "Flowiseai Server", "main": "dist/index", "types": "dist/index.d.ts", @@ -26,6 +26,8 @@ "nuke": "rimraf dist node_modules .turbo", "start:windows": "cd bin && run start", "start:default": "cd bin && ./run start", + "start-worker:windows": "cd bin && run worker", + "start-worker:default": "cd bin && ./run worker", "dev": "tsc-watch --noClear -p ./tsconfig.json --onSuccess \"pnpm start\"", "oclif-dev": "run-script-os", "oclif-dev:windows": "cd bin && dev start", @@ -61,12 +63,29 @@ "dependencies": { "utils": "workspace:*", "@contentful/rich-text-from-markdown": "^15.16.15", - "@oclif/core": "^3.26.4", + "@aws-sdk/client-secrets-manager": "^3.699.0", + "@oclif/core": "4.0.7", + "@opentelemetry/api": "^1.3.0", + "@opentelemetry/auto-instrumentations-node": "^0.52.0", + "@opentelemetry/core": "1.27.0", + "@opentelemetry/exporter-metrics-otlp-grpc": "0.54.0", + "@opentelemetry/exporter-metrics-otlp-http": "0.54.0", + "@opentelemetry/exporter-metrics-otlp-proto": "0.54.0", + "@opentelemetry/exporter-trace-otlp-grpc": "0.54.0", + "@opentelemetry/exporter-trace-otlp-http": "0.54.0", + "@opentelemetry/exporter-trace-otlp-proto": "0.54.0", + "@opentelemetry/resources": "1.27.0", + "@opentelemetry/sdk-metrics": "1.27.0", + "@opentelemetry/sdk-node": "^0.54.0", + "@opentelemetry/sdk-trace-base": "1.27.0", + "@opentelemetry/semantic-conventions": "1.27.0", "@types/lodash": "^4.14.202", "@types/pdf-parse": "^1.1.4", "@types/uuid": "^9.0.7", "async-mutex": "^0.4.0", - "axios": "1.6.2", + "axios": "1.7.9", + "bull-board": "^2.1.3", + "bullmq": "^5.13.2", "content-disposition": "0.5.4", "contentful-management": "^11.7.3", "cors": "^2.8.5", @@ -78,10 +97,11 @@ "express-oauth2-jwt-bearer": "^1.6.0", "express-rate-limit": "^6.9.0", "express-session": "^1.18.1", - "flowise-components": "workspace:^", - "flowise-ui": "workspace:^", + "flowise-components": "workspace:*", + "flowise-ui": "workspace:*", "google-auth-library": "^9.4.0", "googleapis": "^144.0.0", + "global-agent": "^3.0.0", "http-errors": "^2.0.0", "http-status-codes": "^2.3.0", "langchainhub": "^0.0.11", @@ -90,13 +110,18 @@ "moment": "^2.29.3", "moment-timezone": "^0.5.34", "multer": "^1.4.5-lts.1", - "mysql2": "^3.9.2", - "openai": "^4.51.0", "passport": "^0.7.0", "passport-google-oauth20": "^2.0.0", + "multer-s3": "^3.0.1", + "mysql2": "^3.11.3", + "nim-container-manager": "^1.0.4", + "openai": "^4.82.0", "pg": "^8.11.1", "posthog-node": "^3.5.0", + "prom-client": "^15.1.3", + "rate-limit-redis": "^4.2.0", "reflect-metadata": "^0.1.13", + "s3-streamlogger": "^1.11.0", "sanitize-html": "^2.11.0", "stripe": "^17.6.0", "socket.io": "^4.6.1", @@ -116,6 +141,7 @@ "@types/multer": "^1.4.7", "@types/passport": "^1.0.17", "@types/passport-google-oauth20": "^2.0.16", + "@types/multer-s3": "^3.0.3", "@types/sanitize-html": "^2.9.5", "concurrently": "^7.1.0", "cypress": "^13.13.0", diff --git a/packages/server/src/AbortControllerPool.ts b/packages/server/src/AbortControllerPool.ts new file mode 100644 index 00000000000..9d8af011912 --- /dev/null +++ b/packages/server/src/AbortControllerPool.ts @@ -0,0 +1,45 @@ +/** + * This pool is to keep track of abort controllers mapped to chatflowid_chatid + */ +export class AbortControllerPool { + abortControllers: Record = {} + + /** + * Add to the pool + * @param {string} id + * @param {AbortController} abortController + */ + add(id: string, abortController: AbortController) { + this.abortControllers[id] = abortController + } + + /** + * Remove from the pool + * @param {string} id + */ + remove(id: string) { + if (Object.prototype.hasOwnProperty.call(this.abortControllers, id)) { + delete this.abortControllers[id] + } + } + + /** + * Get the abort controller + * @param {string} id + */ + get(id: string) { + return this.abortControllers[id] + } + + /** + * Abort + * @param {string} id + */ + abort(id: string) { + const abortController = this.abortControllers[id] + if (abortController) { + abortController.abort() + this.remove(id) + } + } +} diff --git a/packages/server/src/CachePool.ts b/packages/server/src/CachePool.ts index b59789d2701..b8662a8e9fa 100644 --- a/packages/server/src/CachePool.ts +++ b/packages/server/src/CachePool.ts @@ -1,19 +1,51 @@ -import { IActiveCache } from './Interface' +import { IActiveCache, MODE } from './Interface' +import Redis from 'ioredis' /** * This pool is to keep track of in-memory cache used for LLM and Embeddings */ export class CachePool { + private redisClient: Redis | null = null activeLLMCache: IActiveCache = {} activeEmbeddingCache: IActiveCache = {} + constructor() { + if (process.env.MODE === MODE.QUEUE) { + if (process.env.REDIS_URL) { + this.redisClient = new Redis(process.env.REDIS_URL) + } else { + this.redisClient = new Redis({ + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + tls: + process.env.REDIS_TLS === 'true' + ? { + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + : undefined + }) + } + } + } + /** * Add to the llm cache pool * @param {string} chatflowid * @param {Map} value */ - addLLMCache(chatflowid: string, value: Map) { - this.activeLLMCache[chatflowid] = value + async addLLMCache(chatflowid: string, value: Map) { + if (process.env.MODE === MODE.QUEUE) { + if (this.redisClient) { + const serializedValue = JSON.stringify(Array.from(value.entries())) + await this.redisClient.set(`llmCache:${chatflowid}`, serializedValue) + } + } else { + this.activeLLMCache[chatflowid] = value + } } /** @@ -21,24 +53,60 @@ export class CachePool { * @param {string} chatflowid * @param {Map} value */ - addEmbeddingCache(chatflowid: string, value: Map) { - this.activeEmbeddingCache[chatflowid] = value + async addEmbeddingCache(chatflowid: string, value: Map) { + if (process.env.MODE === MODE.QUEUE) { + if (this.redisClient) { + const serializedValue = JSON.stringify(Array.from(value.entries())) + await this.redisClient.set(`embeddingCache:${chatflowid}`, serializedValue) + } + } else { + this.activeEmbeddingCache[chatflowid] = value + } } /** * Get item from llm cache pool * @param {string} chatflowid */ - getLLMCache(chatflowid: string): Map | undefined { - return this.activeLLMCache[chatflowid] + async getLLMCache(chatflowid: string): Promise | undefined> { + if (process.env.MODE === MODE.QUEUE) { + if (this.redisClient) { + const serializedValue = await this.redisClient.get(`llmCache:${chatflowid}`) + if (serializedValue) { + return new Map(JSON.parse(serializedValue)) + } + } + } else { + return this.activeLLMCache[chatflowid] + } + return undefined } /** * Get item from embedding cache pool * @param {string} chatflowid */ - getEmbeddingCache(chatflowid: string): Map | undefined { - return this.activeEmbeddingCache[chatflowid] + async getEmbeddingCache(chatflowid: string): Promise | undefined> { + if (process.env.MODE === MODE.QUEUE) { + if (this.redisClient) { + const serializedValue = await this.redisClient.get(`embeddingCache:${chatflowid}`) + if (serializedValue) { + return new Map(JSON.parse(serializedValue)) + } + } + } else { + return this.activeEmbeddingCache[chatflowid] + } + return undefined + } + + /** + * Close Redis connection if applicable + */ + async close() { + if (this.redisClient) { + await this.redisClient.quit() + } } } diff --git a/packages/server/src/ChatflowPool.ts b/packages/server/src/ChatflowPool.ts deleted file mode 100644 index 325fac560ff..00000000000 --- a/packages/server/src/ChatflowPool.ts +++ /dev/null @@ -1,51 +0,0 @@ -import { ICommonObject } from 'flowise-components' -import { IActiveChatflows, INodeData, IReactFlowNode } from './Interface' -import logger from './utils/logger' - -/** - * This pool is to keep track of active chatflow pools - * so we can prevent building langchain flow all over again - */ -export class ChatflowPool { - activeChatflows: IActiveChatflows = {} - - /** - * Add to the pool - * @param {string} chatflowid - * @param {INodeData} endingNodeData - * @param {IReactFlowNode[]} startingNodes - * @param {ICommonObject} overrideConfig - */ - add(chatflowid: string, endingNodeData: INodeData | undefined, startingNodes: IReactFlowNode[], overrideConfig?: ICommonObject) { - this.activeChatflows[chatflowid] = { - startingNodes, - endingNodeData, - inSync: true - } - if (overrideConfig) this.activeChatflows[chatflowid].overrideConfig = overrideConfig - logger.info(`[server]: Chatflow ${chatflowid} added into ChatflowPool`) - } - - /** - * Update to the pool - * @param {string} chatflowid - * @param {boolean} inSync - */ - updateInSync(chatflowid: string, inSync: boolean) { - if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) { - this.activeChatflows[chatflowid].inSync = inSync - logger.info(`[server]: Chatflow ${chatflowid} updated inSync=${inSync} in ChatflowPool`) - } - } - - /** - * Remove from the pool - * @param {string} chatflowid - */ - async remove(chatflowid: string) { - if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) { - delete this.activeChatflows[chatflowid] - logger.info(`[server]: Chatflow ${chatflowid} removed from ChatflowPool`) - } - } -} diff --git a/packages/server/src/Interface.DocumentStore.ts b/packages/server/src/Interface.DocumentStore.ts index e319fa74876..34750fe4dae 100644 --- a/packages/server/src/Interface.DocumentStore.ts +++ b/packages/server/src/Interface.DocumentStore.ts @@ -1,4 +1,9 @@ +import { ICommonObject } from 'flowise-components' import { DocumentStore } from './database/entities/DocumentStore' +import { DataSource } from 'typeorm' +import { IComponentNodes } from './Interface' +import { Telemetry } from './utils/telemetry' +import { CachePool } from './CachePool' export enum DocumentStoreStatus { EMPTY_SYNC = 'EMPTY', @@ -36,23 +41,25 @@ export interface IDocumentStoreFileChunk { export interface IDocumentStoreFileChunkPagedResponse { chunks: IDocumentStoreFileChunk[] count: number + characters: number file?: IDocumentStoreLoader currentPage: number storeName: string description: string + docId: string } export interface IDocumentStoreLoader { - id: string - loaderId: string - loaderName: string - loaderConfig: any // JSON string - splitterId: string - splitterName: string - splitterConfig: any // JSON string - totalChunks: number - totalChars: number - status: DocumentStoreStatus + id?: string + loaderId?: string + loaderName?: string + loaderConfig?: any // JSON string + splitterId?: string + splitterName?: string + splitterConfig?: any // JSON string + totalChunks?: number + totalChars?: number + status?: DocumentStoreStatus storeId?: string files?: IDocumentStoreLoaderFile[] source?: string @@ -60,9 +67,47 @@ export interface IDocumentStoreLoader { } export interface IDocumentStoreLoaderForPreview extends IDocumentStoreLoader { - rehydrated: boolean - preview: boolean - previewChunkCount: number + rehydrated?: boolean + preview?: boolean + previewChunkCount?: number + userId: string + organizationId: string +} + +export interface IDocumentStoreUpsertData { + docId: string + metadata?: string | object + replaceExisting?: boolean + createNewDocStore?: boolean + docStore?: IDocumentStore + loader?: { + name: string + config: ICommonObject + } + splitter?: { + name: string + config: ICommonObject + } + vectorStore?: { + name: string + config: ICommonObject + } + embedding?: { + name: string + config: ICommonObject + } + recordManager?: { + name: string + config: ICommonObject + } + userId: string + organizationId: string +} + +export interface IDocumentStoreRefreshData { + items: IDocumentStoreUpsertData[] + userId: string + organizationId: string } export interface IDocumentStoreLoaderFile { @@ -72,11 +117,119 @@ export interface IDocumentStoreLoaderFile { size: number status: DocumentStoreStatus uploaded: Date + userId: string + organizationId: string } export interface IDocumentStoreWhereUsed { id: string name: string + userId: string + organizationId: string +} + +export interface IUpsertQueueAppServer { + appDataSource: DataSource + componentNodes: IComponentNodes + telemetry: Telemetry + cachePool?: CachePool + userId: string + organizationId: string +} + +export interface IExecuteDocStoreUpsert extends IUpsertQueueAppServer { + storeId: string + totalItems: IDocumentStoreUpsertData[] + files: Express.Multer.File[] + isRefreshAPI: boolean + userId: string + organizationId: string +} + +export interface IExecutePreviewLoader extends Omit { + data: IDocumentStoreLoaderForPreview + isPreviewOnly: boolean + telemetry?: Telemetry +} + +export interface IExecuteProcessLoader extends IUpsertQueueAppServer { + data: IDocumentStoreLoaderForPreview + docLoaderId: string + isProcessWithoutUpsert: boolean +} + +export interface IExecuteVectorStoreInsert extends IUpsertQueueAppServer { + data: ICommonObject + isStrictSave: boolean + isVectorStoreInsert: boolean + userId: string + organizationId: string +} + +const getFileName = (fileBase64: string) => { + let fileNames = [] + if (fileBase64.startsWith('FILE-STORAGE::')) { + const names = fileBase64.substring(14) + if (names.includes('[') && names.includes(']')) { + const files = JSON.parse(names) + return files.join(', ') + } else { + return fileBase64.substring(14) + } + } + if (fileBase64.startsWith('[') && fileBase64.endsWith(']')) { + const files = JSON.parse(fileBase64) + for (const file of files) { + const splitDataURI = file.split(',') + const filename = splitDataURI[splitDataURI.length - 1].split(':')[1] + fileNames.push(filename) + } + return fileNames.join(', ') + } else { + const splitDataURI = fileBase64.split(',') + const filename = splitDataURI[splitDataURI.length - 1].split(':')[1] + return filename + } +} + +export const addLoaderSource = (loader: IDocumentStoreLoader, isGetFileNameOnly = false) => { + let source = 'None' + + const handleUnstructuredFileLoader = (config: any, isGetFileNameOnly: boolean): string => { + if (config.fileObject) { + return isGetFileNameOnly ? getFileName(config.fileObject) : config.fileObject.replace('FILE-STORAGE::', '') + } + return config.filePath || 'None' + } + + switch (loader.loaderId) { + case 'pdfFile': + case 'jsonFile': + case 'csvFile': + case 'file': + case 'jsonlinesFile': + case 'txtFile': + source = isGetFileNameOnly + ? getFileName(loader.loaderConfig?.[loader.loaderId]) + : loader.loaderConfig?.[loader.loaderId]?.replace('FILE-STORAGE::', '') || 'None' + break + case 'apiLoader': + source = loader.loaderConfig?.url + ' (' + loader.loaderConfig?.method + ')' + break + case 'cheerioWebScraper': + case 'playwrightWebScraper': + case 'puppeteerWebScraper': + source = loader.loaderConfig?.url || 'None' + break + case 'unstructuredFileLoader': + source = handleUnstructuredFileLoader(loader.loaderConfig || {}, isGetFileNameOnly) + break + default: + source = 'None' + break + } + + return source } export class DocumentStoreDTO { @@ -130,40 +283,9 @@ export class DocumentStoreDTO { if (entity.loaders) { documentStoreDTO.loaders = JSON.parse(entity.loaders) documentStoreDTO.loaders.map((loader) => { - documentStoreDTO.totalChars += loader.totalChars - documentStoreDTO.totalChunks += loader.totalChunks - switch (loader.loaderId) { - case 'pdfFile': - loader.source = loader.loaderConfig.pdfFile.replace('FILE-STORAGE::', '') - break - case 'apiLoader': - loader.source = loader.loaderConfig.url + ' (' + loader.loaderConfig.method + ')' - break - case 'cheerioWebScraper': - loader.source = loader.loaderConfig.url - break - case 'playwrightWebScraper': - loader.source = loader.loaderConfig.url - break - case 'puppeteerWebScraper': - loader.source = loader.loaderConfig.url - break - case 'jsonFile': - loader.source = loader.loaderConfig.jsonFile.replace('FILE-STORAGE::', '') - break - case 'docxFile': - loader.source = loader.loaderConfig.docxFile.replace('FILE-STORAGE::', '') - break - case 'textFile': - loader.source = loader.loaderConfig.txtFile.replace('FILE-STORAGE::', '') - break - case 'unstructuredFileLoader': - loader.source = loader.loaderConfig.filePath - break - default: - loader.source = 'None' - break - } + documentStoreDTO.totalChars += loader.totalChars || 0 + documentStoreDTO.totalChunks += loader.totalChunks || 0 + loader.source = addLoaderSource(loader) if (loader.status !== 'SYNC') { documentStoreDTO.status = DocumentStoreStatus.STALE } diff --git a/packages/server/src/Interface.Metrics.ts b/packages/server/src/Interface.Metrics.ts new file mode 100644 index 00000000000..e437631cc16 --- /dev/null +++ b/packages/server/src/Interface.Metrics.ts @@ -0,0 +1,25 @@ +export interface IMetricsProvider { + getName(): string + initializeCounters(): void + setupMetricsEndpoint(): void + incrementCounter(counter: FLOWISE_METRIC_COUNTERS, payload: any): void +} + +export enum FLOWISE_COUNTER_STATUS { + SUCCESS = 'success', + FAILURE = 'failure' +} + +export enum FLOWISE_METRIC_COUNTERS { + CHATFLOW_CREATED = 'chatflow_created', + AGENTFLOW_CREATED = 'agentflow_created', + ASSISTANT_CREATED = 'assistant_created', + TOOL_CREATED = 'tool_created', + VECTORSTORE_UPSERT = 'vector_upserted', + + CHATFLOW_PREDICTION_INTERNAL = 'chatflow_prediction_internal', + CHATFLOW_PREDICTION_EXTERNAL = 'chatflow_prediction_external', + + AGENTFLOW_PREDICTION_INTERNAL = 'agentflow_prediction_internal', + AGENTFLOW_PREDICTION_EXTERNAL = 'agentflow_prediction_external' +} diff --git a/packages/server/src/Interface.ts b/packages/server/src/Interface.ts index 3b4074b933e..b64bc50c210 100644 --- a/packages/server/src/Interface.ts +++ b/packages/server/src/Interface.ts @@ -1,12 +1,29 @@ -import { IAction } from 'flowise-components' -import { ICommonObject, IFileUpload, INode, INodeData as INodeDataFromComponent, INodeParams } from 'flowise-components' +import { + IAction, + ICommonObject, + IFileUpload, + INode, + INodeData as INodeDataFromComponent, + INodeParams, + IServerSideEventStreamer +} from 'flowise-components' +import { DataSource } from 'typeorm' +import { CachePool } from './CachePool' +import { Telemetry } from './utils/telemetry' import { ChatflowVisibility } from './database/entities/ChatFlow' export type MessageType = 'apiMessage' | 'userMessage' -export type ChatflowType = 'CHATFLOW' | 'MULTIAGENT' +export type ChatflowType = 'CHATFLOW' | 'MULTIAGENT' | 'ASSISTANT' -export enum chatType { +export type AssistantType = 'CUSTOM' | 'OPENAI' | 'AZURE' + +export enum MODE { + QUEUE = 'queue', + MAIN = 'main' +} + +export enum ChatType { INTERNAL = 'INTERNAL', EXTERNAL = 'EXTERNAL' } @@ -45,13 +62,15 @@ export interface IChatFlow { isPublic?: boolean apikeyid?: string analytic?: string + speechToText?: string chatbotConfig?: string + followUpPrompts?: string apiConfig?: string category?: string visibility?: string[] type?: ChatflowType - userId?: string - organizationId?: string + userId: string + organizationId: string displayMode?: string embeddedUrl?: string } @@ -66,6 +85,7 @@ export interface IChatMessage { fileAnnotations?: string agentReasoning?: string fileUploads?: string + artifacts?: string chatType: string chatId: string userId: string @@ -74,6 +94,7 @@ export interface IChatMessage { createdDate: Date leadEmail?: string action?: string | null + followUpPrompts?: string } export interface IChatMessageFeedback { @@ -240,7 +261,6 @@ export interface IMessage { export interface IncomingInput { question: string overrideConfig?: ICommonObject - socketIOClientId?: string chatId?: string stopNodeId?: string uploads?: IFileUpload[] @@ -248,6 +268,7 @@ export interface IncomingInput { history?: IMessage[] action?: IAction chatType?: string + streaming?: boolean } export interface IActiveChatflows { @@ -256,6 +277,7 @@ export interface IActiveChatflows { endingNodeData?: INodeData inSync: boolean overrideConfig?: ICommonObject + chatId?: string } } @@ -313,6 +335,63 @@ export interface IPaidPlan { usedExecutions: number createdDate: Date } +export interface ICustomTemplate { + id: string + name: string + flowData: string + updatedDate: Date + createdDate: Date + description?: string + type?: string + badge?: string + framework?: string + usecases?: string +} + +export interface IFlowConfig { + chatflowid: string + chatId: string + sessionId: string + chatHistory: IMessage[] + apiMessageId: string + overrideConfig?: ICommonObject +} + +export interface IPredictionQueueAppServer { + appDataSource: DataSource + componentNodes: IComponentNodes + sseStreamer: IServerSideEventStreamer + telemetry: Telemetry + cachePool: CachePool +} + +export interface IExecuteFlowParams extends IPredictionQueueAppServer { + incomingInput: IncomingInput + chatflow: IChatFlow + chatId: string + baseURL: string + isInternal: boolean + signal?: AbortController + files?: Express.Multer.File[] + isUpsert?: boolean + user: IUser +} + +export interface INodeOverrides { + [key: string]: { + label: string + name: string + type: string + enabled: boolean + }[] +} + +export interface IVariableOverride { + id: string + name: string + type: 'static' | 'runtime' + enabled: boolean +} // DocumentStore related export * from './Interface.DocumentStore' diff --git a/packages/server/src/NodesPool.ts b/packages/server/src/NodesPool.ts index 16604c34598..0ec14b86ffa 100644 --- a/packages/server/src/NodesPool.ts +++ b/packages/server/src/NodesPool.ts @@ -24,6 +24,7 @@ export class NodesPool { * Initialize nodes */ private async initializeNodes() { + const disabled_nodes = process.env.DISABLED_NODES ? process.env.DISABLED_NODES.split(',') : [] const packagePath = getNodeModulesPackagePath('flowise-components') const nodesPath = path.join(packagePath, 'dist', 'nodes') const nodeFiles = await this.getFiles(nodesPath) @@ -65,7 +66,9 @@ export class NodesPool { let conditionTwo = true if (!isCommunityNodesAllowed && isAuthorPresent) conditionTwo = false - if (conditionOne && conditionTwo) { + const isDisabled = disabled_nodes.includes(newNodeInstance.name) + + if (conditionOne && conditionTwo && !isDisabled) { this.componentNodes[newNodeInstance.name] = newNodeInstance } } diff --git a/packages/server/src/commands/base.ts b/packages/server/src/commands/base.ts new file mode 100644 index 00000000000..5bed81e5628 --- /dev/null +++ b/packages/server/src/commands/base.ts @@ -0,0 +1,201 @@ +import { Command, Flags } from '@oclif/core' +import path from 'path' +import dotenv from 'dotenv' +import logger from '../utils/logger' + +dotenv.config({ path: path.join(__dirname, '..', '..', '.env'), override: true }) + +enum EXIT_CODE { + SUCCESS = 0, + FAILED = 1 +} + +export abstract class BaseCommand extends Command { + static flags = { + FLOWISE_USERNAME: Flags.string(), + FLOWISE_PASSWORD: Flags.string(), + FLOWISE_FILE_SIZE_LIMIT: Flags.string(), + PORT: Flags.string(), + CORS_ORIGINS: Flags.string(), + IFRAME_ORIGINS: Flags.string(), + DEBUG: Flags.string(), + BLOB_STORAGE_PATH: Flags.string(), + APIKEY_STORAGE_TYPE: Flags.string(), + APIKEY_PATH: Flags.string(), + LOG_PATH: Flags.string(), + LOG_LEVEL: Flags.string(), + TOOL_FUNCTION_BUILTIN_DEP: Flags.string(), + TOOL_FUNCTION_EXTERNAL_DEP: Flags.string(), + NUMBER_OF_PROXIES: Flags.string(), + DATABASE_TYPE: Flags.string(), + DATABASE_PATH: Flags.string(), + DATABASE_PORT: Flags.string(), + DATABASE_HOST: Flags.string(), + DATABASE_NAME: Flags.string(), + DATABASE_USER: Flags.string(), + DATABASE_PASSWORD: Flags.string(), + DATABASE_SSL: Flags.string(), + DATABASE_SSL_KEY_BASE64: Flags.string(), + LANGCHAIN_TRACING_V2: Flags.string(), + LANGCHAIN_ENDPOINT: Flags.string(), + LANGCHAIN_API_KEY: Flags.string(), + LANGCHAIN_PROJECT: Flags.string(), + DISABLE_FLOWISE_TELEMETRY: Flags.string(), + MODEL_LIST_CONFIG_JSON: Flags.string(), + STORAGE_TYPE: Flags.string(), + S3_STORAGE_BUCKET_NAME: Flags.string(), + S3_STORAGE_ACCESS_KEY_ID: Flags.string(), + S3_STORAGE_SECRET_ACCESS_KEY: Flags.string(), + S3_STORAGE_REGION: Flags.string(), + S3_ENDPOINT_URL: Flags.string(), + S3_FORCE_PATH_STYLE: Flags.string(), + SHOW_COMMUNITY_NODES: Flags.string(), + SECRETKEY_STORAGE_TYPE: Flags.string(), + SECRETKEY_PATH: Flags.string(), + FLOWISE_SECRETKEY_OVERWRITE: Flags.string(), + SECRETKEY_AWS_ACCESS_KEY: Flags.string(), + SECRETKEY_AWS_SECRET_KEY: Flags.string(), + SECRETKEY_AWS_REGION: Flags.string(), + DISABLED_NODES: Flags.string(), + MODE: Flags.string(), + WORKER_CONCURRENCY: Flags.string(), + QUEUE_NAME: Flags.string(), + QUEUE_REDIS_EVENT_STREAM_MAX_LEN: Flags.string(), + REDIS_URL: Flags.string(), + REDIS_HOST: Flags.string(), + REDIS_PORT: Flags.string(), + REDIS_USERNAME: Flags.string(), + REDIS_PASSWORD: Flags.string(), + REDIS_TLS: Flags.string(), + REDIS_CERT: Flags.string(), + REDIS_KEY: Flags.string(), + REDIS_CA: Flags.string() + } + + protected async stopProcess() { + // Overridden method by child class + } + + protected onTerminate() { + return async () => { + try { + // Shut down the app after timeout if it ever stuck removing pools + setTimeout(async () => { + logger.info('Flowise was forced to shut down after 30 secs') + await this.failExit() + }, 30000) + + await this.stopProcess() + } catch (error) { + logger.error('There was an error shutting down Flowise...', error) + } + } + } + + protected async gracefullyExit() { + process.exit(EXIT_CODE.SUCCESS) + } + + protected async failExit() { + process.exit(EXIT_CODE.FAILED) + } + + async init(): Promise { + await super.init() + + process.on('SIGTERM', this.onTerminate()) + process.on('SIGINT', this.onTerminate()) + + // Prevent throw new Error from crashing the app + // TODO: Get rid of this and send proper error message to ui + process.on('uncaughtException', (err) => { + logger.error('uncaughtException: ', err) + }) + + process.on('unhandledRejection', (err) => { + logger.error('unhandledRejection: ', err) + }) + + const { flags } = await this.parse(BaseCommand) + if (flags.PORT) process.env.PORT = flags.PORT + if (flags.CORS_ORIGINS) process.env.CORS_ORIGINS = flags.CORS_ORIGINS + if (flags.IFRAME_ORIGINS) process.env.IFRAME_ORIGINS = flags.IFRAME_ORIGINS + if (flags.DEBUG) process.env.DEBUG = flags.DEBUG + if (flags.NUMBER_OF_PROXIES) process.env.NUMBER_OF_PROXIES = flags.NUMBER_OF_PROXIES + if (flags.SHOW_COMMUNITY_NODES) process.env.SHOW_COMMUNITY_NODES = flags.SHOW_COMMUNITY_NODES + if (flags.DISABLED_NODES) process.env.DISABLED_NODES = flags.DISABLED_NODES + + // Authorization + if (flags.FLOWISE_USERNAME) process.env.FLOWISE_USERNAME = flags.FLOWISE_USERNAME + if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD + if (flags.APIKEY_STORAGE_TYPE) process.env.APIKEY_STORAGE_TYPE = flags.APIKEY_STORAGE_TYPE + if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH + + // API Configuration + if (flags.FLOWISE_FILE_SIZE_LIMIT) process.env.FLOWISE_FILE_SIZE_LIMIT = flags.FLOWISE_FILE_SIZE_LIMIT + + // Credentials + if (flags.SECRETKEY_STORAGE_TYPE) process.env.SECRETKEY_STORAGE_TYPE = flags.SECRETKEY_STORAGE_TYPE + if (flags.SECRETKEY_PATH) process.env.SECRETKEY_PATH = flags.SECRETKEY_PATH + if (flags.FLOWISE_SECRETKEY_OVERWRITE) process.env.FLOWISE_SECRETKEY_OVERWRITE = flags.FLOWISE_SECRETKEY_OVERWRITE + if (flags.SECRETKEY_AWS_ACCESS_KEY) process.env.SECRETKEY_AWS_ACCESS_KEY = flags.SECRETKEY_AWS_ACCESS_KEY + if (flags.SECRETKEY_AWS_SECRET_KEY) process.env.SECRETKEY_AWS_SECRET_KEY = flags.SECRETKEY_AWS_SECRET_KEY + if (flags.SECRETKEY_AWS_REGION) process.env.SECRETKEY_AWS_REGION = flags.SECRETKEY_AWS_REGION + + // Logs + if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH + if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL + + // Tool functions + if (flags.TOOL_FUNCTION_BUILTIN_DEP) process.env.TOOL_FUNCTION_BUILTIN_DEP = flags.TOOL_FUNCTION_BUILTIN_DEP + if (flags.TOOL_FUNCTION_EXTERNAL_DEP) process.env.TOOL_FUNCTION_EXTERNAL_DEP = flags.TOOL_FUNCTION_EXTERNAL_DEP + + // Database config + if (flags.DATABASE_TYPE) process.env.DATABASE_TYPE = flags.DATABASE_TYPE + if (flags.DATABASE_PATH) process.env.DATABASE_PATH = flags.DATABASE_PATH + if (flags.DATABASE_PORT) process.env.DATABASE_PORT = flags.DATABASE_PORT + if (flags.DATABASE_HOST) process.env.DATABASE_HOST = flags.DATABASE_HOST + if (flags.DATABASE_NAME) process.env.DATABASE_NAME = flags.DATABASE_NAME + if (flags.DATABASE_USER) process.env.DATABASE_USER = flags.DATABASE_USER + if (flags.DATABASE_PASSWORD) process.env.DATABASE_PASSWORD = flags.DATABASE_PASSWORD + if (flags.DATABASE_SSL) process.env.DATABASE_SSL = flags.DATABASE_SSL + if (flags.DATABASE_SSL_KEY_BASE64) process.env.DATABASE_SSL_KEY_BASE64 = flags.DATABASE_SSL_KEY_BASE64 + + // Langsmith tracing + if (flags.LANGCHAIN_TRACING_V2) process.env.LANGCHAIN_TRACING_V2 = flags.LANGCHAIN_TRACING_V2 + if (flags.LANGCHAIN_ENDPOINT) process.env.LANGCHAIN_ENDPOINT = flags.LANGCHAIN_ENDPOINT + if (flags.LANGCHAIN_API_KEY) process.env.LANGCHAIN_API_KEY = flags.LANGCHAIN_API_KEY + if (flags.LANGCHAIN_PROJECT) process.env.LANGCHAIN_PROJECT = flags.LANGCHAIN_PROJECT + + // Telemetry + if (flags.DISABLE_FLOWISE_TELEMETRY) process.env.DISABLE_FLOWISE_TELEMETRY = flags.DISABLE_FLOWISE_TELEMETRY + + // Model list config + if (flags.MODEL_LIST_CONFIG_JSON) process.env.MODEL_LIST_CONFIG_JSON = flags.MODEL_LIST_CONFIG_JSON + + // Storage + if (flags.STORAGE_TYPE) process.env.STORAGE_TYPE = flags.STORAGE_TYPE + if (flags.BLOB_STORAGE_PATH) process.env.BLOB_STORAGE_PATH = flags.BLOB_STORAGE_PATH + if (flags.S3_STORAGE_BUCKET_NAME) process.env.S3_STORAGE_BUCKET_NAME = flags.S3_STORAGE_BUCKET_NAME + if (flags.S3_STORAGE_ACCESS_KEY_ID) process.env.S3_STORAGE_ACCESS_KEY_ID = flags.S3_STORAGE_ACCESS_KEY_ID + if (flags.S3_STORAGE_SECRET_ACCESS_KEY) process.env.S3_STORAGE_SECRET_ACCESS_KEY = flags.S3_STORAGE_SECRET_ACCESS_KEY + if (flags.S3_STORAGE_REGION) process.env.S3_STORAGE_REGION = flags.S3_STORAGE_REGION + if (flags.S3_ENDPOINT_URL) process.env.S3_ENDPOINT_URL = flags.S3_ENDPOINT_URL + if (flags.S3_FORCE_PATH_STYLE) process.env.S3_FORCE_PATH_STYLE = flags.S3_FORCE_PATH_STYLE + + // Queue + if (flags.MODE) process.env.MODE = flags.MODE + if (flags.REDIS_URL) process.env.REDIS_URL = flags.REDIS_URL + if (flags.REDIS_HOST) process.env.REDIS_HOST = flags.REDIS_HOST + if (flags.REDIS_PORT) process.env.REDIS_PORT = flags.REDIS_PORT + if (flags.REDIS_USERNAME) process.env.REDIS_USERNAME = flags.REDIS_USERNAME + if (flags.REDIS_PASSWORD) process.env.REDIS_PASSWORD = flags.REDIS_PASSWORD + if (flags.REDIS_TLS) process.env.REDIS_TLS = flags.REDIS_TLS + if (flags.REDIS_CERT) process.env.REDIS_CERT = flags.REDIS_CERT + if (flags.REDIS_KEY) process.env.REDIS_KEY = flags.REDIS_KEY + if (flags.REDIS_CA) process.env.REDIS_CA = flags.REDIS_CA + if (flags.WORKER_CONCURRENCY) process.env.WORKER_CONCURRENCY = flags.WORKER_CONCURRENCY + if (flags.QUEUE_NAME) process.env.QUEUE_NAME = flags.QUEUE_NAME + if (flags.QUEUE_REDIS_EVENT_STREAM_MAX_LEN) process.env.QUEUE_REDIS_EVENT_STREAM_MAX_LEN = flags.QUEUE_REDIS_EVENT_STREAM + } +} diff --git a/packages/server/src/commands/start.ts b/packages/server/src/commands/start.ts index 27a3b1a4c7d..3dcf19c6e05 100644 --- a/packages/server/src/commands/start.ts +++ b/packages/server/src/commands/start.ts @@ -1,19 +1,21 @@ -import { Command, Flags } from '@oclif/core' -import path from 'path' import * as Server from '../index' import * as DataSource from '../DataSource' -import dotenv from 'dotenv' import logger from '../utils/logger' - -dotenv.config({ path: path.join(__dirname, '..', '..', '.env'), override: true }) +import { BaseCommand } from './base' +import { Flags } from '@oclif/core' enum EXIT_CODE { SUCCESS = 0, FAILED = 1 } let processExitCode = EXIT_CODE.SUCCESS +export default class Start extends BaseCommand { + async run(): Promise { + logger.info('Starting Flowise...') + await DataSource.init() + await Server.start() + } -export default class Start extends Command { static args: any = [] static flags = { FLOWISE_USERNAME: Flags.string(), @@ -26,14 +28,11 @@ export default class Start extends Command { BLOB_STORAGE_PATH: Flags.string(), APIKEY_STORAGE_TYPE: Flags.string(), APIKEY_PATH: Flags.string(), - SECRETKEY_PATH: Flags.string(), - FLOWISE_SECRETKEY_OVERWRITE: Flags.string(), LOG_PATH: Flags.string(), LOG_LEVEL: Flags.string(), TOOL_FUNCTION_BUILTIN_DEP: Flags.string(), TOOL_FUNCTION_EXTERNAL_DEP: Flags.string(), NUMBER_OF_PROXIES: Flags.string(), - DISABLE_CHATFLOW_REUSE: Flags.string(), DATABASE_TYPE: Flags.string(), DATABASE_PATH: Flags.string(), DATABASE_PORT: Flags.string(), @@ -55,126 +54,140 @@ export default class Start extends Command { S3_STORAGE_SECRET_ACCESS_KEY: Flags.string(), S3_STORAGE_REGION: Flags.string(), S3_ENDPOINT_URL: Flags.string(), - SHOW_COMMUNITY_NODES: Flags.string() + S3_FORCE_PATH_STYLE: Flags.string(), + SHOW_COMMUNITY_NODES: Flags.string(), + SECRETKEY_STORAGE_TYPE: Flags.string(), + SECRETKEY_PATH: Flags.string(), + FLOWISE_SECRETKEY_OVERWRITE: Flags.string(), + SECRETKEY_AWS_ACCESS_KEY: Flags.string(), + SECRETKEY_AWS_SECRET_KEY: Flags.string(), + SECRETKEY_AWS_REGION: Flags.string(), + DISABLED_NODES: Flags.string(), + MODE: Flags.string(), + WORKER_CONCURRENCY: Flags.string(), + QUEUE_NAME: Flags.string(), + QUEUE_REDIS_EVENT_STREAM_MAX_LEN: Flags.string(), + REDIS_URL: Flags.string(), + REDIS_HOST: Flags.string(), + REDIS_PORT: Flags.string(), + REDIS_USERNAME: Flags.string(), + REDIS_PASSWORD: Flags.string(), + REDIS_TLS: Flags.string(), + REDIS_CERT: Flags.string(), + REDIS_KEY: Flags.string(), + REDIS_CA: Flags.string() } async stopProcess() { - logger.info('Shutting down Flowise...') try { - // Shut down the app after timeout if it ever stuck removing pools - setTimeout(() => { - logger.info('Flowise was forced to shut down after 30 secs') - process.exit(processExitCode) - }, 30000) - - // Removing pools + logger.info(`Shutting down Flowise...`) const serverApp = Server.getInstance() if (serverApp) await serverApp.stopApp() } catch (error) { logger.error('There was an error shutting down Flowise...', error) + await this.failExit() } - process.exit(processExitCode) } - async run(): Promise { - process.on('SIGTERM', this.stopProcess) - process.on('SIGINT', this.stopProcess) - - // Prevent throw new Error from crashing the app - // TODO: Get rid of this and send proper error message to ui - process.on('uncaughtException', (err) => { - logger.error('uncaughtException: ', err) - }) - - process.on('unhandledRejection', (err) => { - logger.error('unhandledRejection: ', err) - }) - - const { flags } = await this.parse(Start) - - if (flags.PORT) process.env.PORT = flags.PORT - if (flags.CORS_ORIGINS) process.env.CORS_ORIGINS = flags.CORS_ORIGINS - if (flags.IFRAME_ORIGINS) process.env.IFRAME_ORIGINS = flags.IFRAME_ORIGINS - if (flags.DEBUG) process.env.DEBUG = flags.DEBUG - if (flags.NUMBER_OF_PROXIES) process.env.NUMBER_OF_PROXIES = flags.NUMBER_OF_PROXIES - if (flags.DISABLE_CHATFLOW_REUSE) process.env.DISABLE_CHATFLOW_REUSE = flags.DISABLE_CHATFLOW_REUSE - if (flags.SHOW_COMMUNITY_NODES) process.env.SHOW_COMMUNITY_NODES = flags.SHOW_COMMUNITY_NODES - - // Authorization - if (flags.FLOWISE_USERNAME) process.env.FLOWISE_USERNAME = flags.FLOWISE_USERNAME - if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD - if (flags.APIKEY_STORAGE_TYPE) process.env.APIKEY_STORAGE_TYPE = flags.APIKEY_STORAGE_TYPE - if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH - - // API Configuration - if (flags.FLOWISE_FILE_SIZE_LIMIT) process.env.FLOWISE_FILE_SIZE_LIMIT = flags.FLOWISE_FILE_SIZE_LIMIT - - // Credentials - if (flags.SECRETKEY_PATH) process.env.SECRETKEY_PATH = flags.SECRETKEY_PATH - if (flags.FLOWISE_SECRETKEY_OVERWRITE) process.env.FLOWISE_SECRETKEY_OVERWRITE = flags.FLOWISE_SECRETKEY_OVERWRITE - - // Logs - if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH - if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL - - // Tool functions - if (flags.TOOL_FUNCTION_BUILTIN_DEP) process.env.TOOL_FUNCTION_BUILTIN_DEP = flags.TOOL_FUNCTION_BUILTIN_DEP - if (flags.TOOL_FUNCTION_EXTERNAL_DEP) process.env.TOOL_FUNCTION_EXTERNAL_DEP = flags.TOOL_FUNCTION_EXTERNAL_DEP - - // Database config - if (flags.DATABASE_TYPE) process.env.DATABASE_TYPE = flags.DATABASE_TYPE - if (flags.DATABASE_PATH) process.env.DATABASE_PATH = flags.DATABASE_PATH - if (flags.DATABASE_PORT) process.env.DATABASE_PORT = flags.DATABASE_PORT - if (flags.DATABASE_HOST) process.env.DATABASE_HOST = flags.DATABASE_HOST - if (flags.DATABASE_NAME) process.env.DATABASE_NAME = flags.DATABASE_NAME - if (flags.DATABASE_USER) process.env.DATABASE_USER = flags.DATABASE_USER - if (flags.DATABASE_PASSWORD) process.env.DATABASE_PASSWORD = flags.DATABASE_PASSWORD - if (flags.DATABASE_SSL) process.env.DATABASE_SSL = flags.DATABASE_SSL - if (flags.DATABASE_SSL_KEY_BASE64) process.env.DATABASE_SSL_KEY_BASE64 = flags.DATABASE_SSL_KEY_BASE64 - - // Copilot database secret - if (process.env.DATABASE_SECRET) { - const { engine, host, port, dbname, username, password } = JSON.parse(process.env.DATABASE_SECRET) - process.env.DATABASE_HOST = host - process.env.DATABASE_PORT = port - process.env.DATABASE_NAME = dbname - process.env.DATABASE_USER = username - process.env.DATABASE_PASSWORD = password - process.env.DATABASE_TYPE = engine - } - - // Langsmith tracing - if (flags.LANGCHAIN_TRACING_V2) process.env.LANGCHAIN_TRACING_V2 = flags.LANGCHAIN_TRACING_V2 - if (flags.LANGCHAIN_ENDPOINT) process.env.LANGCHAIN_ENDPOINT = flags.LANGCHAIN_ENDPOINT - if (flags.LANGCHAIN_API_KEY) process.env.LANGCHAIN_API_KEY = flags.LANGCHAIN_API_KEY - if (flags.LANGCHAIN_PROJECT) process.env.LANGCHAIN_PROJECT = flags.LANGCHAIN_PROJECT - - // Telemetry - if (flags.DISABLE_FLOWISE_TELEMETRY) process.env.DISABLE_FLOWISE_TELEMETRY = flags.DISABLE_FLOWISE_TELEMETRY - - // Model list config - if (flags.MODEL_LIST_CONFIG_JSON) process.env.MODEL_LIST_CONFIG_JSON = flags.MODEL_LIST_CONFIG_JSON - - // Storage - if (flags.STORAGE_TYPE) process.env.STORAGE_TYPE = flags.STORAGE_TYPE - if (flags.BLOB_STORAGE_PATH) process.env.BLOB_STORAGE_PATH = flags.BLOB_STORAGE_PATH - if (flags.S3_STORAGE_BUCKET_NAME) process.env.S3_STORAGE_BUCKET_NAME = flags.S3_STORAGE_BUCKET_NAME - if (flags.S3_STORAGE_ACCESS_KEY_ID) process.env.S3_STORAGE_ACCESS_KEY_ID = flags.S3_STORAGE_ACCESS_KEY_ID - if (flags.S3_STORAGE_SECRET_ACCESS_KEY) process.env.S3_STORAGE_SECRET_ACCESS_KEY = flags.S3_STORAGE_SECRET_ACCESS_KEY - if (flags.S3_STORAGE_REGION) process.env.S3_STORAGE_REGION = flags.S3_STORAGE_REGION - if (flags.S3_ENDPOINT_URL) process.env.S3_ENDPOINT_URL = flags.S3_ENDPOINT_URL - - await (async () => { - try { - logger.info('Starting Flowise...') - await DataSource.init() - await Server.start() - } catch (error) { - logger.error('There was an error starting Flowise...', error) - processExitCode = EXIT_CODE.FAILED - // @ts-ignore - process.emit('SIGINT') - } - })() - } + // async run(): Promise { + // process.on('SIGTERM', this.stopProcess) + // process.on('SIGINT', this.stopProcess) + + // // Prevent throw new Error from crashing the app + // // TODO: Get rid of this and send proper error message to ui + // process.on('uncaughtException', (err) => { + // logger.error('uncaughtException: ', err) + // }) + + // process.on('unhandledRejection', (err) => { + // logger.error('unhandledRejection: ', err) + // }) + + // const { flags } = await this.parse(Start) + + // if (flags.PORT) process.env.PORT = flags.PORT + // if (flags.CORS_ORIGINS) process.env.CORS_ORIGINS = flags.CORS_ORIGINS + // if (flags.IFRAME_ORIGINS) process.env.IFRAME_ORIGINS = flags.IFRAME_ORIGINS + // if (flags.DEBUG) process.env.DEBUG = flags.DEBUG + // if (flags.NUMBER_OF_PROXIES) process.env.NUMBER_OF_PROXIES = flags.NUMBER_OF_PROXIES + // if (flags.DISABLE_CHATFLOW_REUSE) process.env.DISABLE_CHATFLOW_REUSE = flags.DISABLE_CHATFLOW_REUSE + // if (flags.SHOW_COMMUNITY_NODES) process.env.SHOW_COMMUNITY_NODES = flags.SHOW_COMMUNITY_NODES + + // // Authorization + // if (flags.FLOWISE_USERNAME) process.env.FLOWISE_USERNAME = flags.FLOWISE_USERNAME + // if (flags.FLOWISE_PASSWORD) process.env.FLOWISE_PASSWORD = flags.FLOWISE_PASSWORD + // if (flags.APIKEY_STORAGE_TYPE) process.env.APIKEY_STORAGE_TYPE = flags.APIKEY_STORAGE_TYPE + // if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH + + // // API Configuration + // if (flags.FLOWISE_FILE_SIZE_LIMIT) process.env.FLOWISE_FILE_SIZE_LIMIT = flags.FLOWISE_FILE_SIZE_LIMIT + + // // Credentials + // if (flags.SECRETKEY_PATH) process.env.SECRETKEY_PATH = flags.SECRETKEY_PATH + // if (flags.FLOWISE_SECRETKEY_OVERWRITE) process.env.FLOWISE_SECRETKEY_OVERWRITE = flags.FLOWISE_SECRETKEY_OVERWRITE + + // // Logs + // if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH + // if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL + + // // Tool functions + // if (flags.TOOL_FUNCTION_BUILTIN_DEP) process.env.TOOL_FUNCTION_BUILTIN_DEP = flags.TOOL_FUNCTION_BUILTIN_DEP + // if (flags.TOOL_FUNCTION_EXTERNAL_DEP) process.env.TOOL_FUNCTION_EXTERNAL_DEP = flags.TOOL_FUNCTION_EXTERNAL_DEP + + // // Database config + // if (flags.DATABASE_TYPE) process.env.DATABASE_TYPE = flags.DATABASE_TYPE + // if (flags.DATABASE_PATH) process.env.DATABASE_PATH = flags.DATABASE_PATH + // if (flags.DATABASE_PORT) process.env.DATABASE_PORT = flags.DATABASE_PORT + // if (flags.DATABASE_HOST) process.env.DATABASE_HOST = flags.DATABASE_HOST + // if (flags.DATABASE_NAME) process.env.DATABASE_NAME = flags.DATABASE_NAME + // if (flags.DATABASE_USER) process.env.DATABASE_USER = flags.DATABASE_USER + // if (flags.DATABASE_PASSWORD) process.env.DATABASE_PASSWORD = flags.DATABASE_PASSWORD + // if (flags.DATABASE_SSL) process.env.DATABASE_SSL = flags.DATABASE_SSL + // if (flags.DATABASE_SSL_KEY_BASE64) process.env.DATABASE_SSL_KEY_BASE64 = flags.DATABASE_SSL_KEY_BASE64 + + // // Copilot database secret + // if (process.env.DATABASE_SECRET) { + // const { engine, host, port, dbname, username, password } = JSON.parse(process.env.DATABASE_SECRET) + // process.env.DATABASE_HOST = host + // process.env.DATABASE_PORT = port + // process.env.DATABASE_NAME = dbname + // process.env.DATABASE_USER = username + // process.env.DATABASE_PASSWORD = password + // process.env.DATABASE_TYPE = engine + // } + + // // Langsmith tracing + // if (flags.LANGCHAIN_TRACING_V2) process.env.LANGCHAIN_TRACING_V2 = flags.LANGCHAIN_TRACING_V2 + // if (flags.LANGCHAIN_ENDPOINT) process.env.LANGCHAIN_ENDPOINT = flags.LANGCHAIN_ENDPOINT + // if (flags.LANGCHAIN_API_KEY) process.env.LANGCHAIN_API_KEY = flags.LANGCHAIN_API_KEY + // if (flags.LANGCHAIN_PROJECT) process.env.LANGCHAIN_PROJECT = flags.LANGCHAIN_PROJECT + + // // Telemetry + // if (flags.DISABLE_FLOWISE_TELEMETRY) process.env.DISABLE_FLOWISE_TELEMETRY = flags.DISABLE_FLOWISE_TELEMETRY + + // // Model list config + // if (flags.MODEL_LIST_CONFIG_JSON) process.env.MODEL_LIST_CONFIG_JSON = flags.MODEL_LIST_CONFIG_JSON + + // // Storage + // if (flags.STORAGE_TYPE) process.env.STORAGE_TYPE = flags.STORAGE_TYPE + // if (flags.BLOB_STORAGE_PATH) process.env.BLOB_STORAGE_PATH = flags.BLOB_STORAGE_PATH + // if (flags.S3_STORAGE_BUCKET_NAME) process.env.S3_STORAGE_BUCKET_NAME = flags.S3_STORAGE_BUCKET_NAME + // if (flags.S3_STORAGE_ACCESS_KEY_ID) process.env.S3_STORAGE_ACCESS_KEY_ID = flags.S3_STORAGE_ACCESS_KEY_ID + // if (flags.S3_STORAGE_SECRET_ACCESS_KEY) process.env.S3_STORAGE_SECRET_ACCESS_KEY = flags.S3_STORAGE_SECRET_ACCESS_KEY + // if (flags.S3_STORAGE_REGION) process.env.S3_STORAGE_REGION = flags.S3_STORAGE_REGION + // if (flags.S3_ENDPOINT_URL) process.env.S3_ENDPOINT_URL = flags.S3_ENDPOINT_URL + + // await (async () => { + // try { + // logger.info('Starting Flowise...') + // await DataSource.init() + // await Server.start() + // } catch (error) { + // logger.error('There was an error starting Flowise...', error) + // processExitCode = EXIT_CODE.FAILED + // // @ts-ignore + // process.emit('SIGINT') + // } + // })() + // } } diff --git a/packages/server/src/commands/worker.ts b/packages/server/src/commands/worker.ts new file mode 100644 index 00000000000..ce0a304396f --- /dev/null +++ b/packages/server/src/commands/worker.ts @@ -0,0 +1,103 @@ +import logger from '../utils/logger' +import { QueueManager } from '../queue/QueueManager' +import { BaseCommand } from './base' +import { getDataSource } from '../DataSource' +import { Telemetry } from '../utils/telemetry' +import { NodesPool } from '../NodesPool' +import { CachePool } from '../CachePool' +import { QueueEvents, QueueEventsListener } from 'bullmq' +import { AbortControllerPool } from '../AbortControllerPool' + +interface CustomListener extends QueueEventsListener { + abort: (args: { id: string }, id: string) => void +} + +export default class Worker extends BaseCommand { + predictionWorkerId: string + upsertionWorkerId: string + + async run(): Promise { + logger.info('Starting Flowise Worker...') + + const { appDataSource, telemetry, componentNodes, cachePool, abortControllerPool } = await this.prepareData() + + const queueManager = QueueManager.getInstance() + queueManager.setupAllQueues({ + componentNodes, + telemetry, + cachePool, + appDataSource, + abortControllerPool + }) + + /** Prediction */ + const predictionQueue = queueManager.getQueue('prediction') + const predictionWorker = predictionQueue.createWorker() + this.predictionWorkerId = predictionWorker.id + logger.info(`Prediction Worker ${this.predictionWorkerId} created`) + + const predictionQueueName = predictionQueue.getQueueName() + const queueEvents = new QueueEvents(predictionQueueName, { connection: queueManager.getConnection() }) + + queueEvents.on('abort', async ({ id }: { id: string }) => { + abortControllerPool.abort(id) + }) + + /** Upsertion */ + const upsertionQueue = queueManager.getQueue('upsert') + const upsertionWorker = upsertionQueue.createWorker() + this.upsertionWorkerId = upsertionWorker.id + logger.info(`Upsertion Worker ${this.upsertionWorkerId} created`) + + // Keep the process running + process.stdin.resume() + } + + async prepareData() { + // Init database + const appDataSource = getDataSource() + await appDataSource.initialize() + await appDataSource.runMigrations({ transaction: 'each' }) + + // Initialize abortcontroller pool + const abortControllerPool = new AbortControllerPool() + + // Init telemetry + const telemetry = new Telemetry() + + // Initialize nodes pool + const nodesPool = new NodesPool() + await nodesPool.initialize() + + // Initialize cache pool + const cachePool = new CachePool() + + return { appDataSource, telemetry, componentNodes: nodesPool.componentNodes, cachePool, abortControllerPool } + } + + async catch(error: Error) { + if (error.stack) logger.error(error.stack) + await new Promise((resolve) => { + setTimeout(resolve, 1000) + }) + await this.failExit() + } + + async stopProcess() { + try { + const queueManager = QueueManager.getInstance() + const predictionWorker = queueManager.getQueue('prediction').getWorker() + logger.info(`Shutting down Flowise Prediction Worker ${this.predictionWorkerId}...`) + await predictionWorker.close() + + const upsertWorker = queueManager.getQueue('upsert').getWorker() + logger.info(`Shutting down Flowise Upsertion Worker ${this.upsertionWorkerId}...`) + await upsertWorker.close() + } catch (error) { + logger.error('There was an error shutting down Flowise Worker...', error) + await this.failExit() + } + + await this.gracefullyExit() + } +} diff --git a/packages/server/src/controllers/assistants/index.ts b/packages/server/src/controllers/assistants/index.ts index c252dc56616..2180a4c7f12 100644 --- a/packages/server/src/controllers/assistants/index.ts +++ b/packages/server/src/controllers/assistants/index.ts @@ -2,6 +2,7 @@ import { Request, Response, NextFunction } from 'express' import assistantsService from '../../services/assistants' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { StatusCodes } from 'http-status-codes' +import { AssistantType } from '../../Interface' const createAssistant = async (req: Request, res: Response, next: NextFunction) => { try { @@ -35,7 +36,8 @@ const deleteAssistant = async (req: Request, res: Response, next: NextFunction) const getAllAssistants = async (req: Request, res: Response, next: NextFunction) => { try { - const apiResponse = await assistantsService.getAllAssistants() + const type = req.query.type as AssistantType + const apiResponse = await assistantsService.getAllAssistants(type) return res.json(apiResponse) } catch (error) { next(error) @@ -78,10 +80,56 @@ const updateAssistant = async (req: Request, res: Response, next: NextFunction) } } +const getChatModels = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await assistantsService.getChatModels() + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const getDocumentStores = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await assistantsService.getDocumentStores() + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const getTools = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await assistantsService.getTools() + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const generateAssistantInstruction = async (req: Request, res: Response, next: NextFunction) => { + try { + if (!req.body) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: assistantsController.generateAssistantInstruction - body not provided!` + ) + } + const apiResponse = await assistantsService.generateAssistantInstruction(req.body.task, req.body.selectedChatModel) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + export default { createAssistant, deleteAssistant, getAllAssistants, getAssistantById, - updateAssistant + updateAssistant, + getChatModels, + getDocumentStores, + getTools, + generateAssistantInstruction } diff --git a/packages/server/src/controllers/attachments/index.ts b/packages/server/src/controllers/attachments/index.ts new file mode 100644 index 00000000000..9f87f5eaf48 --- /dev/null +++ b/packages/server/src/controllers/attachments/index.ts @@ -0,0 +1,15 @@ +import { Request, Response, NextFunction } from 'express' +import attachmentsService from '../../services/attachments' + +const createAttachment = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await attachmentsService.createAttachment(req) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +export default { + createAttachment +} diff --git a/packages/server/src/controllers/chat-messages/index.ts b/packages/server/src/controllers/chat-messages/index.ts index 4d6ecca4419..16e4a608ca5 100644 --- a/packages/server/src/controllers/chat-messages/index.ts +++ b/packages/server/src/controllers/chat-messages/index.ts @@ -1,13 +1,36 @@ import { Request, Response, NextFunction } from 'express' -import { ChatMessageRatingType, chatType, IReactFlowObject } from '../../Interface' +import { ChatMessageRatingType, ChatType, IReactFlowObject } from '../../Interface' import chatflowsService from '../../services/chatflows' import chatMessagesService from '../../services/chat-messages' -import { clearSessionMemory } from '../../utils' +import { aMonthAgo, clearSessionMemory } from '../../utils' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' -import { FindOptionsWhere } from 'typeorm' +import { Between, DeleteResult, FindOptionsWhere, In } from 'typeorm' import { ChatMessage } from '../../database/entities/ChatMessage' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { StatusCodes } from 'http-status-codes' +import { utilGetChatMessage } from '../../utils/getChatMessage' + +const getFeedbackTypeFilters = (_feedbackTypeFilters: ChatMessageRatingType[]): ChatMessageRatingType[] | undefined => { + try { + let feedbackTypeFilters + const feedbackTypeFilterArray = JSON.parse(JSON.stringify(_feedbackTypeFilters)) + if ( + feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_UP) && + feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_DOWN) + ) { + feedbackTypeFilters = [ChatMessageRatingType.THUMBS_UP, ChatMessageRatingType.THUMBS_DOWN] + } else if (feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_UP)) { + feedbackTypeFilters = [ChatMessageRatingType.THUMBS_UP] + } else if (feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_DOWN)) { + feedbackTypeFilters = [ChatMessageRatingType.THUMBS_DOWN] + } else { + feedbackTypeFilters = undefined + } + return feedbackTypeFilters + } catch (e) { + return _feedbackTypeFilters + } +} const createChatMessage = async (req: Request, res: Response, next: NextFunction) => { try { @@ -18,7 +41,7 @@ const createChatMessage = async (req: Request, res: Response, next: NextFunction ) } const apiResponse = await chatMessagesService.createChatMessage(req.body, req.user?.id) - return res.json(apiResponse) + return res.json(parseAPIResponse(apiResponse)) } catch (error) { next(error) } @@ -26,19 +49,17 @@ const createChatMessage = async (req: Request, res: Response, next: NextFunction const getAllChatMessages = async (req: Request, res: Response, next: NextFunction) => { try { - let chatTypeFilter = req.query?.chatType as chatType | undefined - if (chatTypeFilter) { + const _chatTypes = req.query?.chatType as string | undefined + let chatTypes: ChatType[] | undefined + if (_chatTypes) { try { - const chatTypeFilterArray = JSON.parse(chatTypeFilter) - if (chatTypeFilterArray.includes(chatType.EXTERNAL) && chatTypeFilterArray.includes(chatType.INTERNAL)) { - chatTypeFilter = undefined - } else if (chatTypeFilterArray.includes(chatType.EXTERNAL)) { - chatTypeFilter = chatType.EXTERNAL - } else if (chatTypeFilterArray.includes(chatType.INTERNAL)) { - chatTypeFilter = chatType.INTERNAL + if (Array.isArray(_chatTypes)) { + chatTypes = _chatTypes + } else { + chatTypes = JSON.parse(_chatTypes) } } catch (e) { - return res.status(500).send(e) + chatTypes = [_chatTypes as ChatType] } } const sortOrder = req.query?.order as string | undefined @@ -54,23 +75,7 @@ const getAllChatMessages = async (req: Request, res: Response, next: NextFunctio let feedbackTypeFilters = req.query?.feedbackType as ChatMessageRatingType[] | undefined if (feedbackTypeFilters) { - try { - const feedbackTypeFilterArray = JSON.parse(JSON.stringify(feedbackTypeFilters)) - if ( - feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_UP) && - feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_DOWN) - ) { - feedbackTypeFilters = [ChatMessageRatingType.THUMBS_UP, ChatMessageRatingType.THUMBS_DOWN] - } else if (feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_UP)) { - feedbackTypeFilters = [ChatMessageRatingType.THUMBS_UP] - } else if (feedbackTypeFilterArray.includes(ChatMessageRatingType.THUMBS_DOWN)) { - feedbackTypeFilters = [ChatMessageRatingType.THUMBS_DOWN] - } else { - feedbackTypeFilters = undefined - } - } catch (e) { - return res.status(500).send(e) - } + feedbackTypeFilters = getFeedbackTypeFilters(feedbackTypeFilters) } if (!chatflowId && !chatId) { throw new InternalFlowiseError( @@ -81,7 +86,7 @@ const getAllChatMessages = async (req: Request, res: Response, next: NextFunctio const apiResponse = await chatMessagesService.getAllChatMessages( req.user!, chatflowId, - chatTypeFilter, + chatTypes, sortOrder, chatId, memoryType, @@ -90,10 +95,10 @@ const getAllChatMessages = async (req: Request, res: Response, next: NextFunctio endDate, messageId, feedback, - feedbackTypeFilters, - req.user?.id + feedbackTypeFilters ) - return res.json(apiResponse) + + return res.json(parseAPIResponse(apiResponse)) } catch (error) { next(error) } @@ -110,10 +115,14 @@ const getAllInternalChatMessages = async (req: Request, res: Response, next: Nex const startDate = req.query?.startDate as string | undefined const endDate = req.query?.endDate as string | undefined const feedback = req.query?.feedback as boolean | undefined + let feedbackTypeFilters = req.query?.feedbackType as ChatMessageRatingType[] | undefined + if (feedbackTypeFilters) { + feedbackTypeFilters = getFeedbackTypeFilters(feedbackTypeFilters) + } const apiResponse = await chatMessagesService.getAllInternalChatMessages( req.user!, req.params.id, - chatType.INTERNAL, + [ChatType.INTERNAL], sortOrder, chatId, memoryType, @@ -122,16 +131,14 @@ const getAllInternalChatMessages = async (req: Request, res: Response, next: Nex endDate, messageId, feedback, - undefined, - userId + feedbackTypeFilters ) - return res.json(apiResponse) + return res.json(parseAPIResponse(apiResponse)) } catch (error) { next(error) } } -//Delete all chatmessages from chatId const removeAllChatMessages = async (req: Request, res: Response, next: NextFunction) => { try { const appServer = getRunningExpressApp() @@ -146,35 +153,118 @@ const removeAllChatMessages = async (req: Request, res: Response, next: NextFunc if (!chatflow) { return res.status(404).send(`Chatflow ${req.params.id} not found`) } + const flowData = chatflow.flowData + const parsedFlowData: IReactFlowObject = JSON.parse(flowData) + const nodes = parsedFlowData.nodes const chatId = req.query?.chatId as string const memoryType = req.query?.memoryType as string | undefined const sessionId = req.query?.sessionId as string | undefined - const chatType = req.query?.chatType as string | undefined + const _chatTypes = req.query?.chatType as string | undefined + let chatTypes: ChatType[] | undefined + if (_chatTypes) { + try { + if (Array.isArray(_chatTypes)) { + chatTypes = _chatTypes + } else { + chatTypes = JSON.parse(_chatTypes) + } + } catch (e) { + chatTypes = [_chatTypes as ChatType] + } + } + const startDate = req.query?.startDate as string | undefined + const endDate = req.query?.endDate as string | undefined const isClearFromViewMessageDialog = req.query?.isClearFromViewMessageDialog as string | undefined - const flowData = chatflow.flowData - const parsedFlowData: IReactFlowObject = JSON.parse(flowData) - const nodes = parsedFlowData.nodes - try { - await clearSessionMemory( - nodes, - appServer.nodesPool.componentNodes, - chatId, - appServer.AppDataSource, - sessionId, - memoryType, - isClearFromViewMessageDialog - ) - } catch (e) { - return res.status(500).send('Error clearing chat messages') + let feedbackTypeFilters = req.query?.feedbackType as ChatMessageRatingType[] | undefined + if (feedbackTypeFilters) { + feedbackTypeFilters = getFeedbackTypeFilters(feedbackTypeFilters) } - const deleteOptions: FindOptionsWhere = { chatflowid } - if (chatId) deleteOptions.chatId = chatId - if (memoryType) deleteOptions.memoryType = memoryType - if (sessionId) deleteOptions.sessionId = sessionId - if (chatType) deleteOptions.chatType = chatType - const apiResponse = await chatMessagesService.removeAllChatMessages(chatId, chatflowid, deleteOptions, req.user?.id) - return res.json(apiResponse) + if (!chatId) { + const isFeedback = feedbackTypeFilters?.length ? true : false + const hardDelete = req.query?.hardDelete as boolean | undefined + const messages = await utilGetChatMessage({ + user: req.user!, + chatflowid, + chatTypes, + sessionId, + startDate, + endDate, + feedback: isFeedback, + feedbackTypes: feedbackTypeFilters + }) + const messageIds = messages.map((message) => message.id) + + if (messages.length === 0) { + const result: DeleteResult = { raw: [], affected: 0 } + return res.json(result) + } + + // Categorize by chatId_memoryType_sessionId + const chatIdMap = new Map() + messages.forEach((message) => { + const chatId = message.chatId + const memoryType = message.memoryType + const sessionId = message.sessionId + const composite_key = `${chatId}_${memoryType}_${sessionId}` + if (!chatIdMap.has(composite_key)) { + chatIdMap.set(composite_key, []) + } + chatIdMap.get(composite_key)?.push(message) + }) + + // If hardDelete is ON, we clearSessionMemory from third party integrations + if (hardDelete) { + for (const [composite_key] of chatIdMap) { + const [chatId, memoryType, sessionId] = composite_key.split('_') + try { + await clearSessionMemory( + nodes, + appServer.nodesPool.componentNodes, + chatId, + appServer.AppDataSource, + sessionId, + memoryType, + isClearFromViewMessageDialog + ) + } catch (e) { + console.error('Error clearing chat messages') + } + } + } + + const apiResponse = await chatMessagesService.removeChatMessagesByMessageIds(chatflowid, chatIdMap, messageIds) + return res.json(apiResponse) + } else { + try { + await clearSessionMemory( + nodes, + appServer.nodesPool.componentNodes, + chatId, + appServer.AppDataSource, + sessionId, + memoryType, + isClearFromViewMessageDialog + ) + } catch (e) { + return res.status(500).send('Error clearing chat messages') + } + + const deleteOptions: FindOptionsWhere = { chatflowid } + if (chatId) deleteOptions.chatId = chatId + if (memoryType) deleteOptions.memoryType = memoryType + if (sessionId) deleteOptions.sessionId = sessionId + if (chatTypes && chatTypes.length > 0) { + deleteOptions.chatType = In(chatTypes) + } + if (startDate && endDate) { + const fromDate = new Date(startDate) + const toDate = new Date(endDate) + deleteOptions.createdDate = Between(fromDate ?? aMonthAgo(), toDate ?? new Date()) + } + const apiResponse = await chatMessagesService.removeAllChatMessages(chatId, chatflowid, deleteOptions) + return res.json(apiResponse) + } } catch (error) { next(error) } @@ -195,6 +285,42 @@ const abortChatMessage = async (req: Request, res: Response, next: NextFunction) } } +const parseAPIResponse = (apiResponse: ChatMessage | ChatMessage[]): ChatMessage | ChatMessage[] => { + const parseResponse = (response: ChatMessage): ChatMessage => { + const parsedResponse = { ...response } + + if (parsedResponse.sourceDocuments) { + parsedResponse.sourceDocuments = JSON.parse(parsedResponse.sourceDocuments) + } + if (parsedResponse.usedTools) { + parsedResponse.usedTools = JSON.parse(parsedResponse.usedTools) + } + if (parsedResponse.fileAnnotations) { + parsedResponse.fileAnnotations = JSON.parse(parsedResponse.fileAnnotations) + } + if (parsedResponse.agentReasoning) { + parsedResponse.agentReasoning = JSON.parse(parsedResponse.agentReasoning) + } + if (parsedResponse.fileUploads) { + parsedResponse.fileUploads = JSON.parse(parsedResponse.fileUploads) + } + if (parsedResponse.action) { + parsedResponse.action = JSON.parse(parsedResponse.action) + } + if (parsedResponse.artifacts) { + parsedResponse.artifacts = JSON.parse(parsedResponse.artifacts) + } + + return parsedResponse + } + + if (Array.isArray(apiResponse)) { + return apiResponse.map(parseResponse) + } else { + return parseResponse(apiResponse) + } +} + export default { createChatMessage, getAllChatMessages, diff --git a/packages/server/src/controllers/chatflows/index.ts b/packages/server/src/controllers/chatflows/index.ts index 158f96d7b51..2693a418c2a 100644 --- a/packages/server/src/controllers/chatflows/index.ts +++ b/packages/server/src/controllers/chatflows/index.ts @@ -2,7 +2,7 @@ import { NextFunction, Request, Response } from 'express' import { StatusCodes } from 'http-status-codes' import apiKeyService from '../../services/apikey' import { ChatFlow } from '../../database/entities/ChatFlow' -import { createRateLimiter } from '../../utils/rateLimit' +import { RateLimiterManager } from '../../utils/rateLimit' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { ChatflowType } from '../../Interface' import chatflowsService from '../../services/chatflows' @@ -186,7 +186,8 @@ const updateChatflow = async (req: Request, res: Response, next: NextFunction) = } updateChatFlow.id = chatflow.id - createRateLimiter(updateChatFlow) + const rateLimiterManager = RateLimiterManager.getInstance() + await rateLimiterManager.updateRateLimiter(updateChatFlow) const apiResponse = await chatflowsService.updateChatflow(chatflow, updateChatFlow) diff --git a/packages/server/src/controllers/documentstore/index.ts b/packages/server/src/controllers/documentstore/index.ts index 710a557b469..e1ca8140b77 100644 --- a/packages/server/src/controllers/documentstore/index.ts +++ b/packages/server/src/controllers/documentstore/index.ts @@ -4,6 +4,8 @@ import documentStoreService from '../../services/documentstore' import { DocumentStore } from '../../database/entities/DocumentStore' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { DocumentStoreDTO } from '../../Interface' +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import { FLOWISE_COUNTER_STATUS, FLOWISE_METRIC_COUNTERS } from '../../Interface.Metrics' const createDocumentStore = async (req: Request, res: Response, next: NextFunction) => { try { @@ -88,12 +90,15 @@ const getDocumentStoreFileChunks = async (req: Request, res: Response, next: Nex `Error: documentStoreController.getDocumentStoreFileChunks - fileId not provided!` ) } + const appDataSource = getRunningExpressApp().AppDataSource const page = req.params.pageNo ? parseInt(req.params.pageNo) : 1 const apiResponse = await documentStoreService.getDocumentStoreFileChunks( + appDataSource, req.params.storeId, req.params.fileId, page, - req.user?.id! + req.user?.id!, + req.user?.organizationId! ) return res.json(apiResponse) } catch (error) { @@ -108,13 +113,15 @@ const syncAndRefreshChunks = async (req: Request, res: Response, next: NextFunct throw new InternalFlowiseError(StatusCodes.PRECONDITION_FAILED, 'Store ID and File ID are required') } - const apiResponse = await documentStoreService.syncAndRefreshChunks(storeId, fileId, req.user?.id!, req.user?.organizationId!) + if (!req.user) { + throw new InternalFlowiseError(StatusCodes.PRECONDITION_FAILED, 'User is required') + } + const apiResponse = await documentStoreService.syncAndRefreshChunks(storeId, fileId, req.user.id!, req.user.organizationId!) return res.json(apiResponse) } catch (error) { next(error) } } - const deleteDocumentStoreFileChunk = async (req: Request, res: Response, next: NextFunction) => { try { if (typeof req.params.storeId === 'undefined' || req.params.storeId === '') { @@ -190,16 +197,44 @@ const editDocumentStoreFileChunk = async (req: Request, res: Response, next: Nex } } -const processFileChunks = async (req: Request, res: Response, next: NextFunction) => { +const saveProcessingLoader = async (req: Request, res: Response, next: NextFunction) => { try { + const appServer = getRunningExpressApp() if (typeof req.body === 'undefined') { throw new InternalFlowiseError( StatusCodes.PRECONDITION_FAILED, - `Error: documentStoreController.processFileChunks - body not provided!` + `Error: documentStoreController.saveProcessingLoader - body not provided!` ) } const body = req.body - const apiResponse = await documentStoreService.processAndSaveChunks(body, req.user?.id!, req.user?.organizationId!) + const apiResponse = await documentStoreService.saveProcessingLoader(appServer.AppDataSource, { + ...body, + userId: req.user?.id!, + organizationId: req.user?.organizationId! + }) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const processLoader = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params.loaderId === 'undefined' || req.params.loaderId === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.processLoader - loaderId not provided!` + ) + } + if (typeof req.body === 'undefined') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.processLoader - body not provided!` + ) + } + const docLoaderId = req.params.loaderId + const body = req.body + const apiResponse = await documentStoreService.processLoaderMiddleware(body, docLoaderId) return res.json(apiResponse) } catch (error) { next(error) @@ -262,7 +297,7 @@ const previewFileChunks = async (req: Request, res: Response, next: NextFunction } const body = req.body body.preview = true - const apiResponse = await documentStoreService.previewChunks(body) + const apiResponse = await documentStoreService.previewChunksMiddleware(body) return res.json(apiResponse) } catch (error) { next(error) @@ -284,9 +319,15 @@ const insertIntoVectorStore = async (req: Request, res: Response, next: NextFunc throw new Error('Error: documentStoreController.insertIntoVectorStore - body not provided!') } const body = req.body - const apiResponse = await documentStoreService.insertIntoVectorStore(body) + const apiResponse = await documentStoreService.insertIntoVectorStoreMiddleware(body) + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) return res.json(DocumentStoreDTO.fromEntity(apiResponse)) } catch (error) { + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.FAILURE + }) next(error) } } @@ -325,7 +366,9 @@ const saveVectorStoreConfig = async (req: Request, res: Response, next: NextFunc throw new Error('Error: documentStoreController.saveVectorStoreConfig - body not provided!') } const body = req.body - const apiResponse = await documentStoreService.saveVectorStoreConfig(body) + const appDataSource = getRunningExpressApp().AppDataSource + const componentNodes = getRunningExpressApp().nodesPool.componentNodes + const apiResponse = await documentStoreService.saveVectorStoreConfig(appDataSource, componentNodes, body) return res.json(apiResponse) } catch (error) { next(error) @@ -372,6 +415,93 @@ const getRecordManagerProviders = async (req: Request, res: Response, next: Next } } +const upsertDocStoreMiddleware = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params.id === 'undefined' || req.params.id === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.upsertDocStoreMiddleware - storeId not provided!` + ) + } + if (typeof req.body === 'undefined') { + throw new Error('Error: documentStoreController.upsertDocStoreMiddleware - body not provided!') + } + const body = req.body + const files = (req.files as Express.Multer.File[]) || [] + const apiResponse = await documentStoreService.upsertDocStoreMiddleware(req.params.id, body, files) + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) + return res.json(apiResponse) + } catch (error) { + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.FAILURE + }) + next(error) + } +} + +const refreshDocStoreMiddleware = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params.id === 'undefined' || req.params.id === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.refreshDocStoreMiddleware - storeId not provided!` + ) + } + const body = req.body + const apiResponse = await documentStoreService.refreshDocStoreMiddleware(req.params.id, body) + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) + return res.json(apiResponse) + } catch (error) { + getRunningExpressApp().metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.FAILURE + }) + next(error) + } +} + +const generateDocStoreToolDesc = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params.id === 'undefined' || req.params.id === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.generateDocStoreToolDesc - storeId not provided!` + ) + } + if (typeof req.body === 'undefined') { + throw new Error('Error: documentStoreController.generateDocStoreToolDesc - body not provided!') + } + const apiResponse = await documentStoreService.generateDocStoreToolDesc(req.params.id, req.body.selectedChatModel) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const getDocStoreConfigs = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params.id === 'undefined' || req.params.id === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.getDocStoreConfigs - storeId not provided!` + ) + } + if (typeof req.params.loaderId === 'undefined' || req.params.loaderId === '') { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: documentStoreController.getDocStoreConfigs - doc loader Id not provided!` + ) + } + const apiResponse = await documentStoreService.findDocStoreAvailableConfigs(req.params.id, req.params.loaderId) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + export default { deleteDocumentStore, createDocumentStore, @@ -381,7 +511,7 @@ export default { getDocumentStoreFileChunks, syncAndRefreshChunks, updateDocumentStore, - processFileChunks, + processLoader, previewFileChunks, getDocumentLoaders, deleteDocumentStoreFileChunk, @@ -393,5 +523,10 @@ export default { saveVectorStoreConfig, queryVectorStore, deleteVectorStoreFromStore, - updateVectorStoreConfigOnly + updateVectorStoreConfigOnly, + upsertDocStoreMiddleware, + refreshDocStoreMiddleware, + saveProcessingLoader, + generateDocStoreToolDesc, + getDocStoreConfigs } diff --git a/packages/server/src/controllers/export-import/index.ts b/packages/server/src/controllers/export-import/index.ts new file mode 100644 index 00000000000..673325e8074 --- /dev/null +++ b/packages/server/src/controllers/export-import/index.ts @@ -0,0 +1,26 @@ +import { NextFunction, Request, Response } from 'express' +import exportImportService from '../../services/export-import' + +const exportData = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await exportImportService.exportData(exportImportService.convertExportInput(req.body), req.user!) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const importData = async (req: Request, res: Response, next: NextFunction) => { + try { + const importData = req.body + await exportImportService.importData(importData) + return res.json({ message: 'success' }) + } catch (error) { + next(error) + } +} + +export default { + exportData, + importData +} diff --git a/packages/server/src/controllers/internal-predictions/index.ts b/packages/server/src/controllers/internal-predictions/index.ts index 1fea952d7a3..aba20d4eb58 100644 --- a/packages/server/src/controllers/internal-predictions/index.ts +++ b/packages/server/src/controllers/internal-predictions/index.ts @@ -1,16 +1,72 @@ import { Request, Response, NextFunction } from 'express' import { utilBuildChatflow } from '../../utils/buildChatflow' - +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import { getErrorMessage } from '../../errors/utils' +import { MODE } from '../../Interface' +import chatflowsService from '../../services/chatflows' // Send input message and get prediction result (Internal) const createInternalPrediction = async (req: Request, res: Response, next: NextFunction) => { try { - const apiResponse = await utilBuildChatflow(req, req.io, true) - return res.json(apiResponse) + if (req.body.streaming || req.body.streaming === 'true') { + createAndStreamInternalPrediction(req, res, next) + return + } else { + const apiResponse = await utilBuildChatflow(req, true) + const { chatId, question: prompt } = req.body + if (chatId) { + await chatflowsService.upsertChat({ + id: chatId, + user: req.user, + prompt, + chatflowId: req.params.id, + chatflowChatId: apiResponse.chatId + }) + } + if (apiResponse) return res.json(apiResponse) + } } catch (error) { next(error) } } +// Send input message and stream prediction result using SSE (Internal) +const createAndStreamInternalPrediction = async (req: Request, res: Response, next: NextFunction) => { + const chatId = req.body.chatId + const sseStreamer = getRunningExpressApp().sseStreamer + + try { + sseStreamer.addClient(chatId, res) + res.setHeader('Content-Type', 'text/event-stream') + res.setHeader('Cache-Control', 'no-cache') + res.setHeader('Connection', 'keep-alive') + res.setHeader('X-Accel-Buffering', 'no') //nginx config: https://serverfault.com/a/801629 + res.flushHeaders() + + if (process.env.MODE === MODE.QUEUE) { + getRunningExpressApp().redisSubscriber.subscribe(chatId) + } + + const apiResponse = await utilBuildChatflow(req, true) + const { question: prompt } = req.body + if (chatId) { + await chatflowsService.upsertChat({ + id: chatId, + user: req.user, + prompt, + chatflowId: req.params.id, + chatflowChatId: apiResponse.chatId + }) + } + sseStreamer.streamMetadataEvent(apiResponse.chatId, apiResponse) + } catch (error) { + if (chatId) { + sseStreamer.streamErrorEvent(chatId, getErrorMessage(error)) + } + next(error) + } finally { + sseStreamer.removeClient(chatId) + } +} export default { createInternalPrediction } diff --git a/packages/server/src/controllers/marketplaces/index.ts b/packages/server/src/controllers/marketplaces/index.ts index 87d7d2744fc..bea38588706 100644 --- a/packages/server/src/controllers/marketplaces/index.ts +++ b/packages/server/src/controllers/marketplaces/index.ts @@ -45,7 +45,49 @@ const getMarketplaceTemplate = async (req: Request, res: Response, next: NextFun } } +const deleteCustomTemplate = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params === 'undefined' || !req.params.id) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: marketplacesService.deleteCustomTemplate - id not provided!` + ) + } + const apiResponse = await marketplacesService.deleteCustomTemplate(req.params.id) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const getAllCustomTemplates = async (req: Request, res: Response, next: NextFunction) => { + try { + const apiResponse = await marketplacesService.getAllCustomTemplates() + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const saveCustomTemplate = async (req: Request, res: Response, next: NextFunction) => { + try { + if ((!req.body && !(req.body.chatflowId || req.body.tool)) || !req.body.name) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: marketplacesService.saveCustomTemplate - body not provided!` + ) + } + const apiResponse = await marketplacesService.saveCustomTemplate(req.body) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + export default { - getAllTemplates, - getMarketplaceTemplate + getAllTemplates, + getAllCustomTemplates, + saveCustomTemplate, + deleteCustomTemplate, + getMarketplaceTemplate, } diff --git a/packages/server/src/controllers/nvidia-nim/index.ts b/packages/server/src/controllers/nvidia-nim/index.ts new file mode 100644 index 00000000000..ce99c14abc8 --- /dev/null +++ b/packages/server/src/controllers/nvidia-nim/index.ts @@ -0,0 +1,106 @@ +import axios from 'axios' +import { Request, Response, NextFunction } from 'express' + +const { NimContainerManager } = require('nim-container-manager') + +const getToken = async (req: Request, res: Response, next: NextFunction) => { + try { + const headers = { + 'Content-Type': 'application/json', + Accept: 'application/json' + } + const data = { + client_id: 'Flowise', + pdi: '0x1234567890abcdeg', + access_policy_name: 'nim-dev' + } + const response = await axios.post('https://nts.ngc.nvidia.com/v1/token', data, { headers }) + const responseJson = response.data + return res.json(responseJson) + } catch (error) { + next(error) + } +} + +const preload = async (req: Request, res: Response, next: NextFunction) => { + try { + await NimContainerManager.preload() + return res.send('Preloaded NIM') + } catch (error) { + next(error) + } +} + +const downloadInstaller = async (req: Request, res: Response, next: NextFunction) => { + try { + await NimContainerManager.downloadInstaller() + return res.send('NIM Installer completed successfully!') + } catch (error) { + next(error) + } +} + +const pullImage = async (req: Request, res: Response, next: NextFunction) => { + try { + const imageTag = req.body.imageTag + const apiKey = req.body.apiKey + await NimContainerManager.pullImage(imageTag, apiKey) + return res.send(`Pulling image ${imageTag}`) + } catch (error) { + next(error) + } +} + +const startContainer = async (req: Request, res: Response, next: NextFunction) => { + try { + const imageTag = req.body.imageTag + const apiKey = req.body.apiKey + await NimContainerManager.startContainer(imageTag, apiKey) + return res.send(`Starting container ${imageTag}`) + } catch (error) { + next(error) + } +} + +const getImage = async (req: Request, res: Response, next: NextFunction) => { + try { + const imageTag = req.body.imageTag + const images = await NimContainerManager.userImageLibrary() + const image = images.find((img: any) => img.tag === imageTag) + if (!image) { + return res.status(404).send(`Image ${imageTag} not found`) + } + return res.json(image) + } catch (error) { + next(error) + } +} + +const getContainer = async (req: Request, res: Response, next: NextFunction) => { + try { + const imageTag = req.body.imageTag + const images = await NimContainerManager.userImageLibrary() + const image = images.find((img: any) => img.tag === imageTag) + if (!image) { + return res.status(404).send(`Image ${imageTag} not found`) + } + if (!image.container) { + return res.status(404).send(`Container of ${imageTag} not found`) + } + const container = image.container + container.image = image.name + return res.json(container) + } catch (error) { + next(error) + } +} + +export default { + preload, + getToken, + downloadInstaller, + pullImage, + startContainer, + getImage, + getContainer +} diff --git a/packages/server/src/controllers/openai-assistants-vector-store/index.ts b/packages/server/src/controllers/openai-assistants-vector-store/index.ts index 55a6d154228..f2216992260 100644 --- a/packages/server/src/controllers/openai-assistants-vector-store/index.ts +++ b/packages/server/src/controllers/openai-assistants-vector-store/index.ts @@ -140,8 +140,10 @@ const uploadFilesToAssistantVectorStore = async (req: Request, res: Response, ne if (Array.isArray(files)) { for (const file of files) { + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') uploadFiles.push({ - filePath: file.path, + filePath: file.path ?? file.key, fileName: file.originalname }) } diff --git a/packages/server/src/controllers/openai-assistants/index.ts b/packages/server/src/controllers/openai-assistants/index.ts index 448d6787bc1..1b516af8c03 100644 --- a/packages/server/src/controllers/openai-assistants/index.ts +++ b/packages/server/src/controllers/openai-assistants/index.ts @@ -81,8 +81,10 @@ const uploadAssistantFiles = async (req: Request, res: Response, next: NextFunct if (Array.isArray(files)) { for (const file of files) { + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') uploadFiles.push({ - filePath: file.path, + filePath: file.path ?? file.key, fileName: file.originalname }) } diff --git a/packages/server/src/controllers/openai-realtime/index.ts b/packages/server/src/controllers/openai-realtime/index.ts new file mode 100644 index 00000000000..d571fa4ee17 --- /dev/null +++ b/packages/server/src/controllers/openai-realtime/index.ts @@ -0,0 +1,70 @@ +import { Request, Response, NextFunction } from 'express' +import openaiRealTimeService from '../../services/openai-realtime' +import { InternalFlowiseError } from '../../errors/internalFlowiseError' +import { StatusCodes } from 'http-status-codes' + +const getAgentTools = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params === 'undefined' || !req.params.id) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.getAgentTools - id not provided!` + ) + } + const apiResponse = await openaiRealTimeService.getAgentTools(req.user!, req.params.id) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +const executeAgentTool = async (req: Request, res: Response, next: NextFunction) => { + try { + if (typeof req.params === 'undefined' || !req.params.id) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.executeAgentTool - id not provided!` + ) + } + if (!req.body) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.executeAgentTool - body not provided!` + ) + } + if (!req.body.chatId) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.executeAgentTool - body chatId not provided!` + ) + } + if (!req.body.toolName) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.executeAgentTool - body toolName not provided!` + ) + } + if (!req.body.inputArgs) { + throw new InternalFlowiseError( + StatusCodes.PRECONDITION_FAILED, + `Error: openaiRealTimeController.executeAgentTool - body inputArgs not provided!` + ) + } + const apiResponse = await openaiRealTimeService.executeAgentTool( + req.user!, + req.params.id, + req.body.chatId, + req.body.toolName, + req.body.inputArgs, + req.body.apiMessageId + ) + return res.json(apiResponse) + } catch (error) { + next(error) + } +} + +export default { + getAgentTools, + executeAgentTool +} diff --git a/packages/server/src/controllers/predictions/index.ts b/packages/server/src/controllers/predictions/index.ts index f85a11870dd..f95c2c1b7a2 100644 --- a/packages/server/src/controllers/predictions/index.ts +++ b/packages/server/src/controllers/predictions/index.ts @@ -1,10 +1,14 @@ import { Request, Response, NextFunction } from 'express' -import { getRateLimiter } from '../../utils/rateLimit' +import { RateLimiterManager } from '../../utils/rateLimit' import chatflowsService from '../../services/chatflows' import logger from '../../utils/logger' import predictionsServices from '../../services/predictions' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { StatusCodes } from 'http-status-codes' +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import { v4 as uuidv4 } from 'uuid' +import { getErrorMessage } from '../../errors/utils' +import { MODE } from '../../Interface' // Send input message and get prediction result (External) const createPrediction = async (req: Request, res: Response, next: NextFunction) => { @@ -26,13 +30,15 @@ const createPrediction = async (req: Request, res: Response, next: NextFunction) throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${req.params.id} not found`) } let isDomainAllowed = true - logger.info(`[server]: Request originated from ${req.headers.origin}`) + let unauthorizedOriginError = 'This site is not allowed to access this chatbot' + logger.info(`[server]: Request originated from ${req.headers.origin || 'UNKNOWN ORIGIN'}`) if (chatflow.chatbotConfig) { const parsedConfig = JSON.parse(chatflow.chatbotConfig) // check whether the first one is not empty. if it is empty that means the user set a value and then removed it. const isValidAllowedOrigins = parsedConfig.allowedOrigins?.length && parsedConfig.allowedOrigins[0] !== '' - if (isValidAllowedOrigins) { - const originHeader = req.headers.origin as string + unauthorizedOriginError = parsedConfig.allowedOriginsError || 'This site is not allowed to access this chatbot' + if (isValidAllowedOrigins && req.headers.origin) { + const originHeader = req.headers.origin const origin = new URL(originHeader).host isDomainAllowed = parsedConfig.allowedOrigins.filter((domain: string) => { @@ -46,11 +52,48 @@ const createPrediction = async (req: Request, res: Response, next: NextFunction) } } if (isDomainAllowed) { - //@ts-ignore - const apiResponse = await predictionsServices.buildChatflow(req, req?.io) - return res.json(apiResponse) + const streamable = await chatflowsService.checkIfChatflowIsValidForStreaming(req.params.id) + const isStreamingRequested = req.body.streaming === 'true' || req.body.streaming === true + if (streamable?.isStreaming && isStreamingRequested) { + const sseStreamer = getRunningExpressApp().sseStreamer + + let chatId = req.body.chatId + if (!req.body.chatId) { + chatId = req.body.chatId ?? req.body.overrideConfig?.sessionId ?? uuidv4() + req.body.chatId = chatId + } + try { + sseStreamer.addExternalClient(chatId, res) + res.setHeader('Content-Type', 'text/event-stream') + res.setHeader('Cache-Control', 'no-cache') + res.setHeader('Connection', 'keep-alive') + res.setHeader('X-Accel-Buffering', 'no') //nginx config: https://serverfault.com/a/801629 + res.flushHeaders() + + if (process.env.MODE === MODE.QUEUE) { + getRunningExpressApp().redisSubscriber.subscribe(chatId) + } + + const apiResponse = await predictionsServices.buildChatflow(req) + sseStreamer.streamMetadataEvent(apiResponse.chatId, apiResponse) + } catch (error) { + if (chatId) { + sseStreamer.streamErrorEvent(chatId, getErrorMessage(error)) + } + next(error) + } finally { + sseStreamer.removeClient(chatId) + } + } else { + const apiResponse = await predictionsServices.buildChatflow(req) + return res.json(apiResponse) + } } else { - throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `This site is not allowed to access this chatbot`) + const isStreamingRequested = req.body.streaming === 'true' || req.body.streaming === true + if (isStreamingRequested) { + return res.status(StatusCodes.FORBIDDEN).send(unauthorizedOriginError) + } + throw new InternalFlowiseError(StatusCodes.FORBIDDEN, unauthorizedOriginError) } } catch (error) { next(error) @@ -59,7 +102,7 @@ const createPrediction = async (req: Request, res: Response, next: NextFunction) const getRateLimiterMiddleware = async (req: Request, res: Response, next: NextFunction) => { try { - return getRateLimiter(req, res, next) + return RateLimiterManager.getInstance().getRateLimiter()(req, res, next) } catch (error) { next(error) } diff --git a/packages/server/src/controllers/stats/index.ts b/packages/server/src/controllers/stats/index.ts index 23b30b5553a..10bf4347c9b 100644 --- a/packages/server/src/controllers/stats/index.ts +++ b/packages/server/src/controllers/stats/index.ts @@ -1,9 +1,8 @@ import { StatusCodes } from 'http-status-codes' import { Request, Response, NextFunction } from 'express' import statsService from '../../services/stats' -import { ChatMessageRatingType, chatType } from '../../Interface' +import { ChatMessageRatingType, ChatType } from '../../Interface' import { InternalFlowiseError } from '../../errors/internalFlowiseError' -import { getErrorMessage } from '../../errors/utils' const getChatflowStats = async (req: Request, res: Response, next: NextFunction) => { try { @@ -11,27 +10,22 @@ const getChatflowStats = async (req: Request, res: Response, next: NextFunction) throw new InternalFlowiseError(StatusCodes.PRECONDITION_FAILED, `Error: statsController.getChatflowStats - id not provided!`) } const chatflowid = req.params.id - let chatTypeFilter = req.query?.chatType as chatType | undefined - const startDate = req.query?.startDate as string | undefined - const endDate = req.query?.endDate as string | undefined - let feedbackTypeFilters = req.query?.feedbackType as ChatMessageRatingType[] | undefined - if (chatTypeFilter) { + const _chatTypes = req.query?.chatType as string | undefined + let chatTypes: ChatType[] | undefined + if (_chatTypes) { try { - const chatTypeFilterArray = JSON.parse(chatTypeFilter) - if (chatTypeFilterArray.includes(chatType.EXTERNAL) && chatTypeFilterArray.includes(chatType.INTERNAL)) { - chatTypeFilter = undefined - } else if (chatTypeFilterArray.includes(chatType.EXTERNAL)) { - chatTypeFilter = chatType.EXTERNAL - } else if (chatTypeFilterArray.includes(chatType.INTERNAL)) { - chatTypeFilter = chatType.INTERNAL + if (Array.isArray(_chatTypes)) { + chatTypes = _chatTypes + } else { + chatTypes = JSON.parse(_chatTypes) } } catch (e) { - throw new InternalFlowiseError( - StatusCodes.INTERNAL_SERVER_ERROR, - `Error: statsController.getChatflowStats - ${getErrorMessage(e)}` - ) + chatTypes = [_chatTypes as ChatType] } } + const startDate = req.query?.startDate as string | undefined + const endDate = req.query?.endDate as string | undefined + let feedbackTypeFilters = req.query?.feedbackType as ChatMessageRatingType[] | undefined if (feedbackTypeFilters) { try { const feedbackTypeFilterArray = JSON.parse(JSON.stringify(feedbackTypeFilters)) @@ -51,16 +45,7 @@ const getChatflowStats = async (req: Request, res: Response, next: NextFunction) return res.status(500).send(e) } } - const apiResponse = await statsService.getChatflowStats( - req.user!, - chatflowid, - chatTypeFilter, - startDate, - endDate, - '', - true, - feedbackTypeFilters - ) + const apiResponse = await statsService.getChatflowStats(req.user!, chatflowid, chatTypes, startDate, endDate, '', true, feedbackTypeFilters) return res.json(apiResponse) } catch (error) { next(error) diff --git a/packages/server/src/controllers/vectors/index.ts b/packages/server/src/controllers/vectors/index.ts index 5d10bb68b1a..cd2e22eaf0d 100644 --- a/packages/server/src/controllers/vectors/index.ts +++ b/packages/server/src/controllers/vectors/index.ts @@ -1,10 +1,10 @@ import { Request, Response, NextFunction } from 'express' import vectorsService from '../../services/vectors' -import { getRateLimiter } from '../../utils/rateLimit' +import { RateLimiterManager } from '../../utils/rateLimit' const getRateLimiterMiddleware = async (req: Request, res: Response, next: NextFunction) => { try { - return getRateLimiter(req, res, next) + return RateLimiterManager.getInstance().getRateLimiter()(req, res, next) } catch (error) { next(error) } diff --git a/packages/server/src/database/entities/Assistant.ts b/packages/server/src/database/entities/Assistant.ts index ca18b199d33..925b484502b 100644 --- a/packages/server/src/database/entities/Assistant.ts +++ b/packages/server/src/database/entities/Assistant.ts @@ -1,6 +1,6 @@ /* eslint-disable */ -import { Entity, Column, Index, CreateDateColumn, UpdateDateColumn, PrimaryGeneratedColumn } from 'typeorm' -import { IAssistant } from '../../Interface' +import { Entity, Column, CreateDateColumn, UpdateDateColumn, PrimaryGeneratedColumn, Index } from 'typeorm' +import { AssistantType, IAssistant } from '../../Interface' @Entity() export class Assistant implements IAssistant { @@ -16,6 +16,9 @@ export class Assistant implements IAssistant { @Column({ nullable: true }) iconSrc?: string + @Column({ nullable: true, type: 'text' }) + type?: AssistantType + @Column({ type: 'timestamp' }) @CreateDateColumn() createdDate: Date diff --git a/packages/server/src/database/entities/Chat.ts b/packages/server/src/database/entities/Chat.ts index 6b4cb207226..ea8b84b1bc7 100644 --- a/packages/server/src/database/entities/Chat.ts +++ b/packages/server/src/database/entities/Chat.ts @@ -14,6 +14,9 @@ export class Chat { @Column({ nullable: true }) chatflowChatId: string + @Column({ nullable: true }) + chatflowId: string + @ManyToOne(() => ChatFlow, { nullable: true }) chatflow: ChatFlow diff --git a/packages/server/src/database/entities/ChatFlow.ts b/packages/server/src/database/entities/ChatFlow.ts index f33ee569bc2..8272b59951f 100644 --- a/packages/server/src/database/entities/ChatFlow.ts +++ b/packages/server/src/database/entities/ChatFlow.ts @@ -55,6 +55,9 @@ export class ChatFlow implements IChatFlow { @Column({ nullable: true, type: 'text' }) speechToText?: string + @Column({ nullable: true, type: 'text' }) + followUpPrompts?: string + @Column({ nullable: true, type: 'text' }) category?: string @@ -67,11 +70,11 @@ export class ChatFlow implements IChatFlow { @Index() @Column({ type: 'uuid', nullable: true }) - userId?: string + userId: string @Index() @Column({ type: 'uuid', nullable: true }) - organizationId?: string + organizationId: string @Column({ type: 'timestamp' }) @CreateDateColumn() diff --git a/packages/server/src/database/entities/ChatMessage.ts b/packages/server/src/database/entities/ChatMessage.ts index 9a82c462e6a..08e95120def 100644 --- a/packages/server/src/database/entities/ChatMessage.ts +++ b/packages/server/src/database/entities/ChatMessage.ts @@ -32,6 +32,9 @@ export class ChatMessage implements IChatMessage { @Column({ nullable: true, type: 'text' }) fileUploads?: string + @Column({ nullable: true, type: 'text' }) + artifacts?: string + @Column({ nullable: true, type: 'text' }) action?: string | null @@ -64,4 +67,6 @@ export class ChatMessage implements IChatMessage { @DeleteDateColumn() deletedDate: Date + @Column({ nullable: true, type: 'text' }) + followUpPrompts?: string } diff --git a/packages/server/src/database/entities/CustomTemplate.ts b/packages/server/src/database/entities/CustomTemplate.ts new file mode 100644 index 00000000000..27b88d78e9b --- /dev/null +++ b/packages/server/src/database/entities/CustomTemplate.ts @@ -0,0 +1,37 @@ +import { ICustomTemplate } from '../../Interface' +import { Column, CreateDateColumn, Entity, PrimaryGeneratedColumn, UpdateDateColumn } from 'typeorm' + +@Entity('custom_template') +export class CustomTemplate implements ICustomTemplate { + @PrimaryGeneratedColumn('uuid') + id: string + + @Column() + name: string + + @Column({ type: 'text' }) + flowData: string + + @Column({ nullable: true, type: 'text' }) + description?: string + + @Column({ nullable: true, type: 'text' }) + badge?: string + + @Column({ nullable: true, type: 'text' }) + framework?: string + + @Column({ nullable: true, type: 'text' }) + usecases?: string + + @Column({ nullable: true, type: 'text' }) + type?: string + + @Column({ type: 'timestamp' }) + @CreateDateColumn() + createdDate: Date + + @Column({ type: 'timestamp' }) + @UpdateDateColumn() + updatedDate: Date +} diff --git a/packages/server/src/database/entities/index.ts b/packages/server/src/database/entities/index.ts index ac3120b00a0..be755755c2d 100644 --- a/packages/server/src/database/entities/index.ts +++ b/packages/server/src/database/entities/index.ts @@ -15,6 +15,8 @@ import { Organization } from './Organization' import { PaidPlan } from './PaidPlan' import { TrialPlan } from './TrialPlan' import { Chat } from './Chat' +import { CustomTemplate } from './CustomTemplate' + export const entities = { ChatFlow, ChatMessage, @@ -32,5 +34,6 @@ export const entities = { Organization, PaidPlan, TrialPlan, - Chat + Chat, + CustomTemplate } diff --git a/packages/server/src/database/migrations/mariadb/1715861032479-AddVectorStoreConfigToDocStore.ts b/packages/server/src/database/migrations/mariadb/1715861032479-AddVectorStoreConfigToDocStore.ts new file mode 100644 index 00000000000..c5d5422751d --- /dev/null +++ b/packages/server/src/database/migrations/mariadb/1715861032479-AddVectorStoreConfigToDocStore.ts @@ -0,0 +1,18 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddVectorStoreConfigToDocStore1715861032479 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('document_store', 'vectorStoreConfig') + if (!columnExists) { + await queryRunner.query(`ALTER TABLE \`document_store\` ADD COLUMN \`vectorStoreConfig\` TEXT;`) + await queryRunner.query(`ALTER TABLE \`document_store\` ADD COLUMN \`embeddingConfig\` TEXT;`) + await queryRunner.query(`ALTER TABLE \`document_store\` ADD COLUMN \`recordManagerConfig\` TEXT;`) + } + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`document_store\` DROP COLUMN \`vectorStoreConfig\`;`) + await queryRunner.query(`ALTER TABLE \`document_store\` DROP COLUMN \`embeddingConfig\`;`) + await queryRunner.query(`ALTER TABLE \`document_store\` DROP COLUMN \`recordManagerConfig\`;`) + } +} diff --git a/packages/server/src/database/migrations/mariadb/1725629836652-AddCustomTemplate.ts b/packages/server/src/database/migrations/mariadb/1725629836652-AddCustomTemplate.ts new file mode 100644 index 00000000000..8a7a34d65d5 --- /dev/null +++ b/packages/server/src/database/migrations/mariadb/1725629836652-AddCustomTemplate.ts @@ -0,0 +1,25 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddCustomTemplate1725629836652 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query( + `CREATE TABLE IF NOT EXISTS \`custom_template\` ( + \`id\` varchar(36) NOT NULL, + \`name\` varchar(255) NOT NULL, + \`flowData\` text NOT NULL, + \`description\` varchar(255) DEFAULT NULL, + \`badge\` varchar(255) DEFAULT NULL, + \`framework\` varchar(255) DEFAULT NULL, + \`usecases\` varchar(255) DEFAULT NULL, + \`type\` varchar(30) DEFAULT NULL, + \`createdDate\` datetime(6) NOT NULL DEFAULT CURRENT_TIMESTAMP(6), + \`updatedDate\` datetime(6) NOT NULL DEFAULT CURRENT_TIMESTAMP(6) ON UPDATE CURRENT_TIMESTAMP(6), + PRIMARY KEY (\`id\`) + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_520_ci;` + ) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`DROP TABLE custom_template`) + } +} diff --git a/packages/server/src/database/migrations/mariadb/1726156258465-AddArtifactsToChatMessage.ts b/packages/server/src/database/migrations/mariadb/1726156258465-AddArtifactsToChatMessage.ts new file mode 100644 index 00000000000..df44ef2ab4a --- /dev/null +++ b/packages/server/src/database/migrations/mariadb/1726156258465-AddArtifactsToChatMessage.ts @@ -0,0 +1,12 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddArtifactsToChatMessage1726156258465 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('chat_message', 'artifacts') + if (!columnExists) queryRunner.query(`ALTER TABLE \`chat_message\` ADD COLUMN \`artifacts\` LONGTEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`chat_message\` DROP COLUMN \`artifacts\`;`) + } +} diff --git a/packages/server/src/database/migrations/mariadb/1726666318346-AddFollowUpPrompts.ts b/packages/server/src/database/migrations/mariadb/1726666318346-AddFollowUpPrompts.ts new file mode 100644 index 00000000000..8f32270e9d6 --- /dev/null +++ b/packages/server/src/database/migrations/mariadb/1726666318346-AddFollowUpPrompts.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddFollowUpPrompts1726666318346 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExistsInChatflow = await queryRunner.hasColumn('chat_flow', 'followUpPrompts') + if (!columnExistsInChatflow) queryRunner.query(`ALTER TABLE \`chat_flow\` ADD COLUMN \`followUpPrompts\` TEXT;`) + const columnExistsInChatMessage = await queryRunner.hasColumn('chat_message', 'followUpPrompts') + if (!columnExistsInChatMessage) queryRunner.query(`ALTER TABLE \`chat_message\` ADD COLUMN \`followUpPrompts\` TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`chat_flow\` DROP COLUMN \`followUpPrompts\`;`) + await queryRunner.query(`ALTER TABLE \`chat_message\` DROP COLUMN \`followUpPrompts\`;`) + } +} diff --git a/packages/server/src/database/migrations/mariadb/1733011290987-AddTypeToAssistant.ts b/packages/server/src/database/migrations/mariadb/1733011290987-AddTypeToAssistant.ts new file mode 100644 index 00000000000..8726486c54a --- /dev/null +++ b/packages/server/src/database/migrations/mariadb/1733011290987-AddTypeToAssistant.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddTypeToAssistant1733011290987 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('assistant', 'type') + if (!columnExists) { + await queryRunner.query(`ALTER TABLE \`assistant\` ADD COLUMN \`type\` TEXT;`) + await queryRunner.query(`UPDATE \`assistant\` SET \`type\` = 'OPENAI';`) + } + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`assistant\` DROP COLUMN \`type\`;`) + } +} diff --git a/packages/server/src/database/migrations/mariadb/index.ts b/packages/server/src/database/migrations/mariadb/index.ts index 4d6866751c5..00e1237e446 100644 --- a/packages/server/src/database/migrations/mariadb/index.ts +++ b/packages/server/src/database/migrations/mariadb/index.ts @@ -17,12 +17,17 @@ import { AddFeedback1707213626553 } from './1707213626553-AddFeedback' import { AddUpsertHistoryEntity1709814301358 } from './1709814301358-AddUpsertHistoryEntity' import { AddLead1710832127079 } from './1710832127079-AddLead' import { AddLeadToChatMessage1711538023578 } from './1711538023578-AddLeadToChatMessage' +import { AddVectorStoreConfigToDocStore1715861032479 } from './1715861032479-AddVectorStoreConfigToDocStore' import { AddDocumentStore1711637331047 } from './1711637331047-AddDocumentStore' import { AddAgentReasoningToChatMessage1714679514451 } from './1714679514451-AddAgentReasoningToChatMessage' import { AddTypeToChatFlow1716300000000 } from './1716300000000-AddTypeToChatFlow' import { AddApiKey1720230151480 } from './1720230151480-AddApiKey' import { AddActionToChatMessage1721078251523 } from './1721078251523-AddActionToChatMessage' import { LongTextColumn1722301395521 } from './1722301395521-LongTextColumn' +import { AddCustomTemplate1725629836652 } from './1725629836652-AddCustomTemplate' +import { AddArtifactsToChatMessage1726156258465 } from './1726156258465-AddArtifactsToChatMessage' +import { AddFollowUpPrompts1726666318346 } from './1726666318346-AddFollowUpPrompts' +import { AddTypeToAssistant1733011290987 } from './1733011290987-AddTypeToAssistant' export const mariadbMigrations = [ Init1693840429259, @@ -47,7 +52,12 @@ export const mariadbMigrations = [ AddLeadToChatMessage1711538023578, AddAgentReasoningToChatMessage1714679514451, AddTypeToChatFlow1716300000000, + AddVectorStoreConfigToDocStore1715861032479, AddApiKey1720230151480, AddActionToChatMessage1721078251523, - LongTextColumn1722301395521 + LongTextColumn1722301395521, + AddCustomTemplate1725629836652, + AddArtifactsToChatMessage1726156258465, + AddFollowUpPrompts1726666318346, + AddTypeToAssistant1733011290987 ] diff --git a/packages/server/src/database/migrations/mysql/1725629836652-AddCustomTemplate.ts b/packages/server/src/database/migrations/mysql/1725629836652-AddCustomTemplate.ts new file mode 100644 index 00000000000..b88ab530679 --- /dev/null +++ b/packages/server/src/database/migrations/mysql/1725629836652-AddCustomTemplate.ts @@ -0,0 +1,25 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddCustomTemplate1725629836652 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query( + `CREATE TABLE IF NOT EXISTS \`custom_template\` ( + \`id\` varchar(36) NOT NULL, + \`name\` varchar(255) NOT NULL, + \`flowData\` text NOT NULL, + \`description\` varchar(255) DEFAULT NULL, + \`badge\` varchar(255) DEFAULT NULL, + \`framework\` varchar(255) DEFAULT NULL, + \`usecases\` varchar(255) DEFAULT NULL, + \`type\` varchar(30) DEFAULT NULL, + \`createdDate\` datetime(6) NOT NULL DEFAULT CURRENT_TIMESTAMP(6), + \`updatedDate\` datetime(6) NOT NULL DEFAULT CURRENT_TIMESTAMP(6) ON UPDATE CURRENT_TIMESTAMP(6), + PRIMARY KEY (\`id\`) + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;` + ) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`DROP TABLE custom_template`) + } +} diff --git a/packages/server/src/database/migrations/mysql/1726156258465-AddArtifactsToChatMessage.ts b/packages/server/src/database/migrations/mysql/1726156258465-AddArtifactsToChatMessage.ts new file mode 100644 index 00000000000..df44ef2ab4a --- /dev/null +++ b/packages/server/src/database/migrations/mysql/1726156258465-AddArtifactsToChatMessage.ts @@ -0,0 +1,12 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddArtifactsToChatMessage1726156258465 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('chat_message', 'artifacts') + if (!columnExists) queryRunner.query(`ALTER TABLE \`chat_message\` ADD COLUMN \`artifacts\` LONGTEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`chat_message\` DROP COLUMN \`artifacts\`;`) + } +} diff --git a/packages/server/src/database/migrations/mysql/1726666302024-AddFollowUpPrompts.ts b/packages/server/src/database/migrations/mysql/1726666302024-AddFollowUpPrompts.ts new file mode 100644 index 00000000000..5285068cc1d --- /dev/null +++ b/packages/server/src/database/migrations/mysql/1726666302024-AddFollowUpPrompts.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddFollowUpPrompts1726666302024 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExistsInChatflow = await queryRunner.hasColumn('chat_flow', 'followUpPrompts') + if (!columnExistsInChatflow) queryRunner.query(`ALTER TABLE \`chat_flow\` ADD COLUMN \`followUpPrompts\` TEXT;`) + const columnExistsInChatMessage = await queryRunner.hasColumn('chat_message', 'followUpPrompts') + if (!columnExistsInChatMessage) queryRunner.query(`ALTER TABLE \`chat_message\` ADD COLUMN \`followUpPrompts\` TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`chat_flow\` DROP COLUMN \`followUpPrompts\`;`) + await queryRunner.query(`ALTER TABLE \`chat_message\` DROP COLUMN \`followUpPrompts\`;`) + } +} diff --git a/packages/server/src/database/migrations/mysql/1733011290987-AddTypeToAssistant.ts b/packages/server/src/database/migrations/mysql/1733011290987-AddTypeToAssistant.ts new file mode 100644 index 00000000000..8726486c54a --- /dev/null +++ b/packages/server/src/database/migrations/mysql/1733011290987-AddTypeToAssistant.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddTypeToAssistant1733011290987 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('assistant', 'type') + if (!columnExists) { + await queryRunner.query(`ALTER TABLE \`assistant\` ADD COLUMN \`type\` TEXT;`) + await queryRunner.query(`UPDATE \`assistant\` SET \`type\` = 'OPENAI';`) + } + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE \`assistant\` DROP COLUMN \`type\`;`) + } +} diff --git a/packages/server/src/database/migrations/mysql/index.ts b/packages/server/src/database/migrations/mysql/index.ts index 034d3100eab..f55a295e755 100644 --- a/packages/server/src/database/migrations/mysql/index.ts +++ b/packages/server/src/database/migrations/mysql/index.ts @@ -28,6 +28,10 @@ import { AddAnswersConfig1714692854264 } from './1714692854264-AddAnswersConfig' import { AddUser1716422641414 } from './1716422641414-AddUser' import { AddDescriptionToChatFlow1722099922876 } from './1722101786123-AddDescriptionToChatflow' import { AddPlans1722954685054 } from './1722954685053-AddPlans' +import { AddCustomTemplate1725629836652 } from './1725629836652-AddCustomTemplate' +import { AddArtifactsToChatMessage1726156258465 } from './1726156258465-AddArtifactsToChatMessage' +import { AddFollowUpPrompts1726666302024 } from './1726666302024-AddFollowUpPrompts' +import { AddTypeToAssistant1733011290987 } from './1733011290987-AddTypeToAssistant' export const mysqlMigrations = [ Init1693840429259, @@ -59,5 +63,9 @@ export const mysqlMigrations = [ AddActionToChatMessage1721078251523, LongTextColumn1722301395521, AddDescriptionToChatFlow1722099922876, - AddPlans1722954685054 + AddPlans1722954685054, + AddCustomTemplate1725629836652, + AddArtifactsToChatMessage1726156258465, + AddFollowUpPrompts1726666302024, + AddTypeToAssistant1733011290987 ] diff --git a/packages/server/src/database/migrations/postgres/1725629836652-AddCustomTemplate.ts b/packages/server/src/database/migrations/postgres/1725629836652-AddCustomTemplate.ts new file mode 100644 index 00000000000..04a61c0ff5f --- /dev/null +++ b/packages/server/src/database/migrations/postgres/1725629836652-AddCustomTemplate.ts @@ -0,0 +1,25 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddCustomTemplate1725629836652 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query( + `CREATE TABLE IF NOT EXISTS custom_template ( + id uuid NOT NULL DEFAULT uuid_generate_v4(), + "name" varchar NOT NULL, + "flowData" text NOT NULL, + "description" varchar NULL, + "badge" varchar NULL, + "framework" varchar NULL, + "usecases" varchar NULL, + "type" varchar NULL, + "createdDate" timestamp NOT NULL DEFAULT now(), + "updatedDate" timestamp NOT NULL DEFAULT now(), + CONSTRAINT "PK_3c7cea7d087ac4b91764574cdbf" PRIMARY KEY (id) + );` + ) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`DROP TABLE custom_template`) + } +} diff --git a/packages/server/src/database/migrations/postgres/1726156258465-AddArtifactsToChatMessage.ts b/packages/server/src/database/migrations/postgres/1726156258465-AddArtifactsToChatMessage.ts new file mode 100644 index 00000000000..d9a828702d5 --- /dev/null +++ b/packages/server/src/database/migrations/postgres/1726156258465-AddArtifactsToChatMessage.ts @@ -0,0 +1,11 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddArtifactsToChatMessage1726156258465 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_message" ADD COLUMN IF NOT EXISTS "artifacts" TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_message" DROP COLUMN "artifacts";`) + } +} diff --git a/packages/server/src/database/migrations/postgres/1726666309552-AddFollowUpPrompts.ts b/packages/server/src/database/migrations/postgres/1726666309552-AddFollowUpPrompts.ts new file mode 100644 index 00000000000..ef460363b7c --- /dev/null +++ b/packages/server/src/database/migrations/postgres/1726666309552-AddFollowUpPrompts.ts @@ -0,0 +1,13 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddFollowUpPrompts1726666309552 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_flow" ADD COLUMN IF NOT EXISTS "followUpPrompts" TEXT;`) + await queryRunner.query(`ALTER TABLE "chat_message" ADD COLUMN IF NOT EXISTS "followUpPrompts" TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_flow" DROP COLUMN "followUpPrompts";`) + await queryRunner.query(`ALTER TABLE "chat_message" DROP COLUMN "followUpPrompts";`) + } +} diff --git a/packages/server/src/database/migrations/postgres/1733011290987-AddTypeToAssistant.ts b/packages/server/src/database/migrations/postgres/1733011290987-AddTypeToAssistant.ts new file mode 100644 index 00000000000..30a007b13b4 --- /dev/null +++ b/packages/server/src/database/migrations/postgres/1733011290987-AddTypeToAssistant.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddTypeToAssistant1733011290987 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('assistant', 'type') + if (!columnExists) { + await queryRunner.query(`ALTER TABLE "assistant" ADD COLUMN "type" TEXT;`) + await queryRunner.query(`UPDATE "assistant" SET "type" = 'OPENAI';`) + } + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "assistant" DROP COLUMN "type";`) + } +} diff --git a/packages/server/src/database/migrations/postgres/index.ts b/packages/server/src/database/migrations/postgres/index.ts index 5ac7efd84be..33c0c52123a 100644 --- a/packages/server/src/database/migrations/postgres/index.ts +++ b/packages/server/src/database/migrations/postgres/index.ts @@ -40,6 +40,10 @@ import { AddPlans1722954481004 } from './1722954481003-AddPlans' import { ApiKeysUserAndOrg1727817692110 } from './1727817692110-ApiKeysUserAndOrg' import { ToolVisibility1730491825527 } from './1730491825527-ToolVisibility' import { AddChat1732145631409 } from './1732145631409-AddChat' +import { AddCustomTemplate1725629836652 } from './1725629836652-AddCustomTemplate' +import { AddArtifactsToChatMessage1726156258465 } from './1726156258465-AddArtifactsToChatMessage' +import { AddFollowUpPrompts1726666309552 } from './1726666309552-AddFollowUpPrompts' +import { AddTypeToAssistant1733011290987 } from './1733011290987-AddTypeToAssistant' export const postgresMigrations = [ Init1693891895163, @@ -83,5 +87,9 @@ export const postgresMigrations = [ AddPlans1722954481004, ApiKeysUserAndOrg1727817692110, ToolVisibility1730491825527, - AddChat1732145631409 + AddChat1732145631409, + AddCustomTemplate1725629836652, + AddArtifactsToChatMessage1726156258465, + AddFollowUpPrompts1726666309552, + AddTypeToAssistant1733011290987 ] diff --git a/packages/server/src/database/migrations/sqlite/1725629836652-AddCustomTemplate.ts b/packages/server/src/database/migrations/sqlite/1725629836652-AddCustomTemplate.ts new file mode 100644 index 00000000000..80e633b6d28 --- /dev/null +++ b/packages/server/src/database/migrations/sqlite/1725629836652-AddCustomTemplate.ts @@ -0,0 +1,23 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddCustomTemplate1725629836652 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query( + `CREATE TABLE IF NOT EXISTS "custom_template" ( + "id" varchar PRIMARY KEY NOT NULL, + "name" varchar NOT NULL, + "flowData" text NOT NULL, + "description" varchar, + "badge" varchar, + "framework" varchar, + "usecases" varchar, + "type" varchar, + "updatedDate" datetime NOT NULL DEFAULT (datetime('now')), + "createdDate" datetime NOT NULL DEFAULT (datetime('now')));` + ) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`DROP TABLE IF EXISTS "custom_template";`) + } +} diff --git a/packages/server/src/database/migrations/sqlite/1726156258465-AddArtifactsToChatMessage.ts b/packages/server/src/database/migrations/sqlite/1726156258465-AddArtifactsToChatMessage.ts new file mode 100644 index 00000000000..1056cb1ce51 --- /dev/null +++ b/packages/server/src/database/migrations/sqlite/1726156258465-AddArtifactsToChatMessage.ts @@ -0,0 +1,11 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddArtifactsToChatMessage1726156258465 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_message" ADD COLUMN "artifacts" TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_message" DROP COLUMN "artifacts";`) + } +} diff --git a/packages/server/src/database/migrations/sqlite/1726666294213-AddFollowUpPrompts.ts b/packages/server/src/database/migrations/sqlite/1726666294213-AddFollowUpPrompts.ts new file mode 100644 index 00000000000..6f0d61cc9ed --- /dev/null +++ b/packages/server/src/database/migrations/sqlite/1726666294213-AddFollowUpPrompts.ts @@ -0,0 +1,13 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddFollowUpPrompts1726666294213 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_flow" ADD COLUMN "followUpPrompts" TEXT;`) + await queryRunner.query(`ALTER TABLE "chat_message" ADD COLUMN "followUpPrompts" TEXT;`) + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "chat_flow" DROP COLUMN "followUpPrompts";`) + await queryRunner.query(`ALTER TABLE "chat_message" DROP COLUMN "followUpPrompts";`) + } +} diff --git a/packages/server/src/database/migrations/sqlite/1733011290987-AddTypeToAssistant.ts b/packages/server/src/database/migrations/sqlite/1733011290987-AddTypeToAssistant.ts new file mode 100644 index 00000000000..30a007b13b4 --- /dev/null +++ b/packages/server/src/database/migrations/sqlite/1733011290987-AddTypeToAssistant.ts @@ -0,0 +1,15 @@ +import { MigrationInterface, QueryRunner } from 'typeorm' + +export class AddTypeToAssistant1733011290987 implements MigrationInterface { + public async up(queryRunner: QueryRunner): Promise { + const columnExists = await queryRunner.hasColumn('assistant', 'type') + if (!columnExists) { + await queryRunner.query(`ALTER TABLE "assistant" ADD COLUMN "type" TEXT;`) + await queryRunner.query(`UPDATE "assistant" SET "type" = 'OPENAI';`) + } + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "assistant" DROP COLUMN "type";`) + } +} diff --git a/packages/server/src/database/migrations/sqlite/index.ts b/packages/server/src/database/migrations/sqlite/index.ts index 328f0143a49..c5f8a7a425e 100644 --- a/packages/server/src/database/migrations/sqlite/index.ts +++ b/packages/server/src/database/migrations/sqlite/index.ts @@ -34,6 +34,10 @@ import { UpdateVisibilityType1719248473069 } from './1719248473069-UpdateVisibil import { CredentialsVisibility1721247848452 } from './1721247848452-CredentialsVisibility' import { AddDescriptionToChatFlow1722099922876 } from './1722101786123-AddDescriptionToChatflow' import { AddPlans1722954819677 } from './1722954819676-AddPlans' +import { AddArtifactsToChatMessage1726156258465 } from './1726156258465-AddArtifactsToChatMessage' +import { AddCustomTemplate1725629836652 } from './1725629836652-AddCustomTemplate' +import { AddFollowUpPrompts1726666294213 } from './1726666294213-AddFollowUpPrompts' +import { AddTypeToAssistant1733011290987 } from './1733011290987-AddTypeToAssistant' export const sqliteMigrations = [ Init1693835579790, @@ -71,5 +75,9 @@ export const sqliteMigrations = [ UpdateVisibilityType1719248473069, CredentialsVisibility1721247848452, AddDescriptionToChatFlow1722099922876, - AddPlans1722954819677 + AddPlans1722954819677, + AddArtifactsToChatMessage1726156258465, + AddCustomTemplate1725629836652, + AddFollowUpPrompts1726666294213, + AddTypeToAssistant1733011290987 ] diff --git a/packages/server/src/index.ts b/packages/server/src/index.ts index 3a8596fe8d0..78ad15265f5 100644 --- a/packages/server/src/index.ts +++ b/packages/server/src/index.ts @@ -2,36 +2,67 @@ import express from 'express' import cors from 'cors' import http from 'http' import basicAuth from 'express-basic-auth' -import { Server } from 'socket.io' import { DataSource } from 'typeorm' -import { IChatFlow } from './Interface' -import { getEncryptionKey } from './utils' +import { MODE } from './Interface' +import { getNodeModulesPackagePath, getEncryptionKey } from './utils' import logger, { expressRequestLogger } from './utils/logger' import { getDataSource } from './DataSource' import { NodesPool } from './NodesPool' import { ChatFlow } from './database/entities/ChatFlow' -import { ChatflowPool } from './ChatflowPool' import { CachePool } from './CachePool' -import { initializeRateLimiter } from './utils/rateLimit' +import { AbortControllerPool } from './AbortControllerPool' +import { RateLimiterManager } from './utils/rateLimit' import { getAPIKeys } from './utils/apiKey' import { sanitizeMiddleware, getCorsOptions, getAllowedIframeOrigins } from './utils/XSS' import { Telemetry } from './utils/telemetry' import flowiseApiV1Router from './routes' import errorHandlerMiddleware from './middlewares/errors' +import { SSEStreamer } from './utils/SSEStreamer' +import { validateAPIKey } from './utils/validateKey' +import { IMetricsProvider } from './Interface.Metrics' +import { Prometheus } from './metrics/Prometheus' +import { OpenTelemetry } from './metrics/OpenTelemetry' +import { QueueManager } from './queue/QueueManager' +import { RedisEventSubscriber } from './queue/RedisEventSubscriber' +import { WHITELIST_URLS } from './utils/constants' +import 'global-agent/bootstrap' import authenticationHandlerMiddleware from './middlewares/authentication' import passport from 'passport' import passportConfig from './config/passport' import session from 'express-session' +declare global { + namespace Express { + namespace Multer { + interface File { + bucket: string + key: string + acl: string + contentType: string + contentDisposition: null + storageClass: string + serverSideEncryption: null + metadata: any + location: string + etag: string + } + } + } +} passportConfig(passport) export class App { app: express.Application nodesPool: NodesPool - chatflowPool: ChatflowPool + abortControllerPool: AbortControllerPool cachePool: CachePool telemetry: Telemetry + rateLimiterManager: RateLimiterManager AppDataSource: DataSource = getDataSource() + sseStreamer: SSEStreamer + metricsProvider: IMetricsProvider + queueManager: QueueManager + redisSubscriber: RedisEventSubscriber constructor() { this.app = express() @@ -50,8 +81,8 @@ export class App { this.nodesPool = new NodesPool() await this.nodesPool.initialize() - // Initialize chatflow pool - this.chatflowPool = new ChatflowPool() + // Initialize abort controllers pool + this.abortControllerPool = new AbortControllerPool() // Initialize API keys await getAPIKeys() @@ -60,21 +91,39 @@ export class App { await getEncryptionKey() // Initialize Rate Limit - const AllChatFlow: IChatFlow[] = await getAllChatFlow({}) - await initializeRateLimiter(AllChatFlow) + this.rateLimiterManager = RateLimiterManager.getInstance() + await this.rateLimiterManager.initializeRateLimiters(await getDataSource().getRepository(ChatFlow).find()) // Initialize cache pool this.cachePool = new CachePool() // Initialize telemetry this.telemetry = new Telemetry() + + // Initialize SSE Streamer + this.sseStreamer = new SSEStreamer() + + // Init Queues + if (process.env.MODE === MODE.QUEUE) { + this.queueManager = QueueManager.getInstance() + this.queueManager.setupAllQueues({ + componentNodes: this.nodesPool.componentNodes, + telemetry: this.telemetry, + cachePool: this.cachePool, + appDataSource: this.AppDataSource, + abortControllerPool: this.abortControllerPool + }) + this.redisSubscriber = new RedisEventSubscriber(this.sseStreamer) + await this.redisSubscriber.connect() + } + logger.info('📦 [server]: Data Source has been initialized!') } catch (error) { logger.error('❌ [server]: Error during Data Source initialization:', error) } } - async config(socketIO?: Server) { + async config() { // Limit is needed to allow sending/receiving base64 encoded string const flowise_file_size_limit = process.env.FLOWISE_FILE_SIZE_LIMIT || '50mb' this.app.use(express.json({ limit: flowise_file_size_limit })) @@ -120,32 +169,12 @@ export class App { // Add the sanitizeMiddleware to guard against XSS this.app.use(sanitizeMiddleware) - // Make io accessible to our router on req.io - this.app.use((req, res, next) => { - req.io = socketIO - next() - }) - const whitelistURLs = [ - '/api/v1/google-auth', - process.env.GOOGLE_CALLBACK_URL ?? '/api/v1/google-auth/callback', - '/api/v1/verify/apikey/', - '/api/v1/chatflows/apikey/', - '/api/v1/public-chatflows', - '/api/v1/public-chatbotConfig', - '/api/v1/prediction/', - '/api/v1/vector/upsert/', - '/api/v1/node-icon/', - '/api/v1/components-credentials-icon/', - '/api/v1/chatflows-streaming', - '/api/v1/chatflows-uploads', - '/api/v1/openai-assistants-file/download', - '/api/v1/feedback', - '/api/v1/leads', - '/api/v1/get-upload-file', - '/api/v1/ip', - '/api/v1/ping', - '/api/v1/marketplaces/templates' - ] + const whitelistURLs = WHITELIST_URLS + const URL_CASE_INSENSITIVE_REGEX: RegExp = /\/api\/v1\//i + const URL_CASE_SENSITIVE_REGEX: RegExp = /\/api\/v1\// + + this.app.use(authenticationHandlerMiddleware({ whitelistURLs, AppDataSource: this.AppDataSource })) + if (process.env.FLOWISE_USERNAME && process.env.FLOWISE_PASSWORD) { const username = process.env.FLOWISE_USERNAME const password = process.env.FLOWISE_PASSWORD @@ -157,9 +186,84 @@ export class App { whitelistURLs.some((url) => new RegExp(url, 'i').test(req.url)) ? next() : basicAuthMiddleware(req, res, next) } else next() }) + this.app.use(async (req, res, next) => { + if (req.user) return next() + // Step 1: Check if the req path contains /api/v1 regardless of case + if (URL_CASE_INSENSITIVE_REGEX.test(req.path)) { + // Step 2: Check if the req path is case sensitive + if (URL_CASE_SENSITIVE_REGEX.test(req.path)) { + // Step 3: Check if the req path is in the whitelist + const isWhitelisted = whitelistURLs.some((url) => req.path.startsWith(url)) + if (isWhitelisted) { + next() + } else if (req.headers['x-request-from'] === 'internal') { + basicAuthMiddleware(req, res, next) + } else { + const isKeyValidated = await validateAPIKey(req) + if (!isKeyValidated) { + return res.status(401).json({ error: 'Unauthorized Access' }) + } + next() + } + } else { + return res.status(401).json({ error: 'Unauthorized Access' }) + } + } else { + // If the req path does not contain /api/v1, then allow the request to pass through, example: /assets, /canvas + next() + } + }) + } else { + this.app.use(async (req, res, next) => { + if (req.user) return next() + // Step 1: Check if the req path contains /api/v1 regardless of case + if (URL_CASE_INSENSITIVE_REGEX.test(req.path)) { + // Step 2: Check if the req path is case sensitive + if (URL_CASE_SENSITIVE_REGEX.test(req.path)) { + // Step 3: Check if the req path is in the whitelist + const isWhitelisted = whitelistURLs.some((url) => req.path.startsWith(url)) + if (isWhitelisted) { + next() + } else if (req.headers['x-request-from'] === 'internal') { + next() + } else { + const isKeyValidated = await validateAPIKey(req) + if (!isKeyValidated) { + return res.status(401).json({ error: 'Unauthorized Access' }) + } + next() + } + } else { + return res.status(401).json({ error: 'Unauthorized Access' }) + } + } else { + // If the req path does not contain /api/v1, then allow the request to pass through, example: /assets, /canvas + next() + } + }) } - this.app.use(authenticationHandlerMiddleware({ whitelistURLs, AppDataSource: this.AppDataSource })) + if (process.env.ENABLE_METRICS === 'true') { + switch (process.env.METRICS_PROVIDER) { + // default to prometheus + case 'prometheus': + case undefined: + this.metricsProvider = new Prometheus(this.app) + break + case 'open_telemetry': + this.metricsProvider = new OpenTelemetry(this.app) + break + // add more cases for other metrics providers here + } + if (this.metricsProvider) { + await this.metricsProvider.initializeCounters() + logger.info(`📊 [server]: Metrics Provider [${this.metricsProvider.getName()}] has been initialized!`) + } else { + logger.error( + "❌ [server]: Metrics collection is enabled, but failed to initialize provider (valid values are 'prometheus' or 'open_telemetry'." + ) + } + } this.app.use('/api/v1', flowiseApiV1Router) @@ -173,6 +277,10 @@ export class App { }) }) + if (process.env.MODE === MODE.QUEUE) { + this.app.use('/admin/queues', this.queueManager.getBullBoardRouter()) + } + // ---------------------------------------- // Redirect to staging.theanswer.ai // ---------------------------------------- @@ -193,6 +301,9 @@ export class App { try { const removePromises: any[] = [] removePromises.push(this.telemetry.flush()) + if (this.queueManager) { + removePromises.push(this.redisSubscriber.disconnect()) + } await Promise.all(removePromises) } catch (e) { logger.error(`❌[server]: Flowise Server shut down error: ${e}`) @@ -202,13 +313,6 @@ export class App { let serverApp: App | undefined -export const getAllChatFlow = async ({ userId }: { userId?: string }): Promise => - getDataSource() - .getRepository(ChatFlow) - .createQueryBuilder('chatFlow') - .where(userId ? 'chatFlow.userId = :userId OR chatFlow.userId IS NULL' : 'chatFlow.userId IS NULL', { userId }) - .getMany() - export async function start(): Promise { serverApp = new App() @@ -216,12 +320,8 @@ export async function start(): Promise { const port = parseInt(process.env.PORT || '', 10) || 3000 const server = http.createServer(serverApp.app) - const io = new Server(server, { - cors: getCorsOptions() - }) - await serverApp.initDatabase() - await serverApp.config(io) + await serverApp.config() server.listen(port, host, () => { logger.info(`⚡️ [server]: Flowise Server is listening at ${host ? 'http://' + host : ''}:${port}`) diff --git a/packages/server/src/metrics/OpenTelemetry.ts b/packages/server/src/metrics/OpenTelemetry.ts new file mode 100644 index 00000000000..7686225db83 --- /dev/null +++ b/packages/server/src/metrics/OpenTelemetry.ts @@ -0,0 +1,157 @@ +import { FLOWISE_METRIC_COUNTERS, IMetricsProvider } from '../Interface.Metrics' +import { Resource } from '@opentelemetry/resources' +import { ATTR_SERVICE_NAME, ATTR_SERVICE_VERSION } from '@opentelemetry/semantic-conventions' +import { MeterProvider, PeriodicExportingMetricReader, Histogram } from '@opentelemetry/sdk-metrics' +import { diag, DiagLogLevel, DiagConsoleLogger, Attributes, Counter } from '@opentelemetry/api' +import { getVersion } from 'flowise-components' +import express from 'express' + +export class OpenTelemetry implements IMetricsProvider { + private app: express.Application + private resource: Resource + private otlpMetricExporter: any + // private otlpTraceExporter: any + // private tracerProvider: NodeTracerProvider + private metricReader: PeriodicExportingMetricReader + private meterProvider: MeterProvider + + // Map to hold all counters and histograms + private counters = new Map() + private httpRequestCounter: Counter + private httpRequestDuration: any + + constructor(app: express.Application) { + this.app = app + + if (!process.env.METRICS_OPEN_TELEMETRY_METRIC_ENDPOINT) { + throw new Error('METRICS_OPEN_TELEMETRY_METRIC_ENDPOINT is not defined') + } + + if (process.env.METRICS_OPEN_TELEMETRY_DEBUG === 'true') { + diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG) + } + } + + public getName(): string { + return 'OpenTelemetry' + } + + async initializeCounters(): Promise { + // Define the resource with the service name for trace grouping + const flowiseVersion = await getVersion() + + this.resource = new Resource({ + [ATTR_SERVICE_NAME]: process.env.METRICS_SERVICE_NAME || 'FlowiseAI', + [ATTR_SERVICE_VERSION]: flowiseVersion.version // Version as a label + }) + + const metricProtocol = process.env.METRICS_OPEN_TELEMETRY_PROTOCOL || 'http' // Default to 'http' + // Conditionally import the correct OTLP exporters based on protocol + let OTLPMetricExporter + if (metricProtocol === 'http') { + OTLPMetricExporter = require('@opentelemetry/exporter-metrics-otlp-http').OTLPMetricExporter + } else if (metricProtocol === 'grpc') { + OTLPMetricExporter = require('@opentelemetry/exporter-metrics-otlp-grpc').OTLPMetricExporter + } else if (metricProtocol === 'proto') { + OTLPMetricExporter = require('@opentelemetry/exporter-metrics-otlp-proto').OTLPMetricExporter + } else { + console.error('Invalid METRICS_OPEN_TELEMETRY_PROTOCOL specified. Please set it to "http", "grpc", or "proto".') + process.exit(1) // Exit if invalid protocol type is specified + } + + this.otlpMetricExporter = new OTLPMetricExporter({ + url: process.env.METRICS_OPEN_TELEMETRY_METRIC_ENDPOINT // OTLP endpoint for metrics + }) + + this.metricReader = new PeriodicExportingMetricReader({ + exporter: this.otlpMetricExporter, + exportIntervalMillis: 5000 // Export metrics every 5 seconds + }) + this.meterProvider = new MeterProvider({ resource: this.resource, readers: [this.metricReader] }) + + const meter = this.meterProvider.getMeter('flowise-metrics') + // look at the FLOWISE_COUNTER enum in Interface.Metrics.ts and get all values + // for each counter in the enum, create a new promClient.Counter and add it to the registry + const enumEntries = Object.entries(FLOWISE_METRIC_COUNTERS) + enumEntries.forEach(([name, value]) => { + // derive proper counter name from the enum value (chatflow_created = Chatflow Created) + const properCounterName: string = name.replace(/_/g, ' ').replace(/\b\w/g, (l) => l.toUpperCase()) + this.counters.set( + value, + meter.createCounter(value, { + description: properCounterName + }) + ) + }) + + // in addition to the enum counters, add a few more custom counters + + const versionGuage = meter.createGauge('flowise_version', { + description: 'Flowise version' + }) + // remove the last dot from the version string, e.g. 2.1.3 -> 2.13 (guage needs a number - float) + const formattedVersion = flowiseVersion.version.replace(/\.(\d+)$/, '$1') + versionGuage.record(parseFloat(formattedVersion)) + + // Counter for HTTP requests with method, path, and status as labels + this.httpRequestCounter = meter.createCounter('http_requests_total', { + description: 'Counts the number of HTTP requests received' + }) + + // Histogram to measure HTTP request duration in milliseconds + this.httpRequestDuration = meter.createHistogram('http_request_duration_ms', { + description: 'Records the duration of HTTP requests in ms' + }) + } + + // Function to record HTTP request duration + private recordHttpRequestDuration(durationMs: number, method: string, path: string, status: number) { + this.httpRequestDuration.record(durationMs, { + method, + path, + status: status.toString() + }) + } + + // Function to record HTTP requests with specific labels + private recordHttpRequest(method: string, path: string, status: number) { + this.httpRequestCounter.add(1, { + method, + path, + status: status.toString() + }) + } + + async setupMetricsEndpoint(): Promise { + // Graceful shutdown for telemetry data flushing + process.on('SIGTERM', async () => { + await this.metricReader.shutdown() + await this.meterProvider.shutdown() + }) + + // Runs before each requests + this.app.use((req, res, next) => { + res.locals.startEpoch = Date.now() + next() + }) + + // Runs after each requests + this.app.use((req, res, next) => { + res.on('finish', async () => { + if (res.locals.startEpoch) { + const responseTimeInMs = Date.now() - res.locals.startEpoch + this.recordHttpRequest(req.method, req.path, res.statusCode) + this.recordHttpRequestDuration(responseTimeInMs, req.method, req.path, res.statusCode) + } + }) + next() + }) + } + + async incrementCounter(counter: string, payload: any): Promise { + // Increment OpenTelemetry counter with the payload + if (this.counters.has(counter)) { + ;(this.counters.get(counter) as Counter).add(1, payload) + } + } +} diff --git a/packages/server/src/metrics/Prometheus.ts b/packages/server/src/metrics/Prometheus.ts new file mode 100644 index 00000000000..15eaafeac86 --- /dev/null +++ b/packages/server/src/metrics/Prometheus.ts @@ -0,0 +1,122 @@ +import { FLOWISE_METRIC_COUNTERS, IMetricsProvider } from '../Interface.Metrics' +import express from 'express' +import promClient, { Counter, Histogram, Registry } from 'prom-client' +import { getVersion } from 'flowise-components' + +export class Prometheus implements IMetricsProvider { + private app: express.Application + private readonly register: Registry + private counters: Map | promClient.Gauge | promClient.Histogram> + private requestCounter: Counter + private httpRequestDurationMicroseconds: Histogram + + constructor(app: express.Application) { + this.app = app + this.register = new promClient.Registry() + } + + public getName(): string { + return 'Prometheus' + } + + async initializeCounters(): Promise { + const serviceName: string = process.env.METRICS_SERVICE_NAME || 'FlowiseAI' + this.register.setDefaultLabels({ + app: serviceName + }) + + // look at the FLOWISE_COUNTER enum in Interface.Metrics.ts and get all values + // for each counter in the enum, create a new promClient.Counter and add it to the registry + this.counters = new Map>() + const enumEntries = Object.entries(FLOWISE_METRIC_COUNTERS) + enumEntries.forEach(([name, value]) => { + // derive proper counter name from the enum value (chatflow_created = Chatflow Created) + const properCounterName: string = name.replace(/_/g, ' ').replace(/\b\w/g, (l) => l.toUpperCase()) + this.counters.set( + value, + new promClient.Counter({ + name: value, + help: `Total number of ${properCounterName}`, + labelNames: ['status'] + }) + ) + }) + + // in addition to the enum counters, add a few more custom counters + // version, http_request_duration_ms, http_requests_total + const versionGaugeCounter = new promClient.Gauge({ + name: 'flowise_version_info', + help: 'Flowise version info.', + labelNames: ['version'] + }) + + const { version } = await getVersion() + versionGaugeCounter.set({ version: 'v' + version }, 1) + this.counters.set('flowise_version', versionGaugeCounter) + + this.httpRequestDurationMicroseconds = new promClient.Histogram({ + name: 'http_request_duration_ms', + help: 'Duration of HTTP requests in ms', + labelNames: ['method', 'route', 'code'], + buckets: [1, 5, 15, 50, 100, 200, 300, 400, 500] // buckets for response time from 0.1ms to 500ms + }) + this.counters.set('http_request_duration_ms', this.httpRequestDurationMicroseconds) + + this.requestCounter = new Counter({ + name: 'http_requests_total', + help: 'Total number of HTTP requests', + labelNames: ['method', 'path', 'status'] + }) + this.counters.set('http_requests_total', this.requestCounter) + + this.registerMetrics() + await this.setupMetricsEndpoint() + } + + async setupMetricsEndpoint() { + // Add Prometheus middleware to the app + this.app.use('/api/v1/metrics', async (req, res) => { + res.set('Content-Type', this.register.contentType) + const currentMetrics = await this.register.metrics() + res.send(currentMetrics).end() + }) + + // Runs before each requests + this.app.use((req, res, next) => { + res.locals.startEpoch = Date.now() + next() + }) + + // Runs after each requests + this.app.use((req, res, next) => { + res.on('finish', async () => { + if (res.locals.startEpoch) { + this.requestCounter.inc() + const responseTimeInMs = Date.now() - res.locals.startEpoch + this.httpRequestDurationMicroseconds + .labels(req.method, req.baseUrl, res.statusCode.toString()) + .observe(responseTimeInMs) + } + }) + next() + }) + } + + public incrementCounter(counter: FLOWISE_METRIC_COUNTERS, payload: any) { + // increment the counter with the payload + if (this.counters.has(counter)) { + ;(this.counters.get(counter) as Counter).labels(payload).inc() + } + } + + private registerMetrics() { + if (process.env.METRICS_INCLUDE_NODE_METRICS !== 'false') { + // enable default metrics like CPU usage, memory usage, etc. + promClient.collectDefaultMetrics({ register: this.register }) + } + // Add our custom metrics to the registry + for (const counter of this.counters.values()) { + this.register.registerMetric(counter) + } + } +} diff --git a/packages/server/src/middlewares/authentication/index.ts b/packages/server/src/middlewares/authentication/index.ts index 0570af98264..5516f5b0a14 100644 --- a/packages/server/src/middlewares/authentication/index.ts +++ b/packages/server/src/middlewares/authentication/index.ts @@ -33,6 +33,7 @@ export const authenticationHandlerMiddleware = // First, run the JWT middleware jwtMiddleware(req, res, async (jwtError?: any) => { if (jwtError) { + console.log('JWT Error', jwtError) return next(jwtError) // Handle JWT error } // Proceed with user synchronization if user is authenticated diff --git a/packages/server/src/middlewares/errors/index.ts b/packages/server/src/middlewares/errors/index.ts index ea0ab513ae8..2f649843991 100644 --- a/packages/server/src/middlewares/errors/index.ts +++ b/packages/server/src/middlewares/errors/index.ts @@ -12,8 +12,10 @@ async function errorHandlerMiddleware(err: InternalFlowiseError, req: Request, r // Provide error stack trace only in development stack: process.env.NODE_ENV === 'development' ? err.stack : {} } - res.setHeader('Content-Type', 'application/json') - res.status(displayedError.statusCode).json(displayedError) + if (!req.body || !req.body.streaming || req.body.streaming === 'false') { + res.setHeader('Content-Type', 'application/json') + res.status(displayedError.statusCode).json(displayedError) + } } export default errorHandlerMiddleware diff --git a/packages/server/src/queue/BaseQueue.ts b/packages/server/src/queue/BaseQueue.ts new file mode 100644 index 00000000000..0c3003ea633 --- /dev/null +++ b/packages/server/src/queue/BaseQueue.ts @@ -0,0 +1,81 @@ +import { Queue, Worker, Job, QueueEvents, RedisOptions } from 'bullmq' +import { v4 as uuidv4 } from 'uuid' +import logger from '../utils/logger' + +const QUEUE_REDIS_EVENT_STREAM_MAX_LEN = process.env.QUEUE_REDIS_EVENT_STREAM_MAX_LEN + ? parseInt(process.env.QUEUE_REDIS_EVENT_STREAM_MAX_LEN) + : 10000 +const WORKER_CONCURRENCY = process.env.WORKER_CONCURRENCY ? parseInt(process.env.WORKER_CONCURRENCY) : 100000 + +export abstract class BaseQueue { + protected queue: Queue + protected queueEvents: QueueEvents + protected connection: RedisOptions + private worker: Worker + + constructor(queueName: string, connection: RedisOptions) { + this.connection = connection + this.queue = new Queue(queueName, { + connection: this.connection, + streams: { events: { maxLen: QUEUE_REDIS_EVENT_STREAM_MAX_LEN } } + }) + this.queueEvents = new QueueEvents(queueName, { connection: this.connection }) + } + + abstract processJob(data: any): Promise + + abstract getQueueName(): string + + abstract getQueue(): Queue + + public getWorker(): Worker { + return this.worker + } + + public async addJob(jobData: any): Promise { + const jobId = jobData.id || uuidv4() + return await this.queue.add(jobId, jobData, { removeOnFail: true }) + } + + public createWorker(concurrency: number = WORKER_CONCURRENCY): Worker { + this.worker = new Worker( + this.queue.name, + async (job: Job) => { + const start = new Date().getTime() + logger.info(`Processing job ${job.id} in ${this.queue.name} at ${new Date().toISOString()}`) + const result = await this.processJob(job.data) + const end = new Date().getTime() + logger.info(`Completed job ${job.id} in ${this.queue.name} at ${new Date().toISOString()} (${end - start}ms)`) + return result + }, + { + connection: this.connection, + concurrency + } + ) + return this.worker + } + + public async getJobs(): Promise { + return await this.queue.getJobs() + } + + public async getJobCounts(): Promise<{ [index: string]: number }> { + return await this.queue.getJobCounts() + } + + public async getJobByName(jobName: string): Promise { + const jobs = await this.queue.getJobs() + const job = jobs.find((job) => job.name === jobName) + if (!job) throw new Error(`Job name ${jobName} not found`) + return job + } + + public getQueueEvents(): QueueEvents { + return this.queueEvents + } + + public async clearQueue(): Promise { + await this.queue.obliterate({ force: true }) + } +} diff --git a/packages/server/src/queue/PredictionQueue.ts b/packages/server/src/queue/PredictionQueue.ts new file mode 100644 index 00000000000..3a4f74145a2 --- /dev/null +++ b/packages/server/src/queue/PredictionQueue.ts @@ -0,0 +1,64 @@ +import { DataSource } from 'typeorm' +import { executeFlow } from '../utils/buildChatflow' +import { IComponentNodes, IExecuteFlowParams } from '../Interface' +import { Telemetry } from '../utils/telemetry' +import { CachePool } from '../CachePool' +import { RedisEventPublisher } from './RedisEventPublisher' +import { AbortControllerPool } from '../AbortControllerPool' +import { BaseQueue } from './BaseQueue' +import { RedisOptions } from 'bullmq' + +interface PredictionQueueOptions { + appDataSource: DataSource + telemetry: Telemetry + cachePool: CachePool + componentNodes: IComponentNodes + abortControllerPool: AbortControllerPool +} + +export class PredictionQueue extends BaseQueue { + private componentNodes: IComponentNodes + private telemetry: Telemetry + private cachePool: CachePool + private appDataSource: DataSource + private abortControllerPool: AbortControllerPool + private redisPublisher: RedisEventPublisher + private queueName: string + + constructor(name: string, connection: RedisOptions, options: PredictionQueueOptions) { + super(name, connection) + this.queueName = name + this.componentNodes = options.componentNodes || {} + this.telemetry = options.telemetry + this.cachePool = options.cachePool + this.appDataSource = options.appDataSource + this.abortControllerPool = options.abortControllerPool + this.redisPublisher = new RedisEventPublisher() + this.redisPublisher.connect() + } + + public getQueueName() { + return this.queueName + } + + public getQueue() { + return this.queue + } + + async processJob(data: IExecuteFlowParams) { + if (this.appDataSource) data.appDataSource = this.appDataSource + if (this.telemetry) data.telemetry = this.telemetry + if (this.cachePool) data.cachePool = this.cachePool + if (this.componentNodes) data.componentNodes = this.componentNodes + if (this.redisPublisher) data.sseStreamer = this.redisPublisher + + if (this.abortControllerPool) { + const abortControllerId = `${data.chatflow.id}_${data.chatId}` + const signal = new AbortController() + this.abortControllerPool.add(abortControllerId, signal) + data.signal = signal + } + + return await executeFlow(data) + } +} diff --git a/packages/server/src/queue/QueueManager.ts b/packages/server/src/queue/QueueManager.ts new file mode 100644 index 00000000000..166a4125d4f --- /dev/null +++ b/packages/server/src/queue/QueueManager.ts @@ -0,0 +1,127 @@ +import { BaseQueue } from './BaseQueue' +import { PredictionQueue } from './PredictionQueue' +import { UpsertQueue } from './UpsertQueue' +import { IComponentNodes } from '../Interface' +import { Telemetry } from '../utils/telemetry' +import { CachePool } from '../CachePool' +import { DataSource } from 'typeorm' +import { AbortControllerPool } from '../AbortControllerPool' +import { QueueEventsProducer, RedisOptions } from 'bullmq' +import { createBullBoard } from 'bull-board' +import { BullMQAdapter } from 'bull-board/bullMQAdapter' +import { Express } from 'express' + +const QUEUE_NAME = process.env.QUEUE_NAME || 'flowise-queue' + +type QUEUE_TYPE = 'prediction' | 'upsert' + +export class QueueManager { + private static instance: QueueManager + private queues: Map = new Map() + private connection: RedisOptions + private bullBoardRouter?: Express + private predictionQueueEventsProducer?: QueueEventsProducer + + private constructor() { + let tlsOpts = undefined + if (process.env.REDIS_URL && process.env.REDIS_URL.startsWith('rediss://')) { + tlsOpts = { + rejectUnauthorized: false + } + } else if (process.env.REDIS_TLS === 'true') { + tlsOpts = { + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + } + this.connection = { + url: process.env.REDIS_URL || undefined, + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + tls: tlsOpts + } + } + + public static getInstance(): QueueManager { + if (!QueueManager.instance) { + QueueManager.instance = new QueueManager() + } + return QueueManager.instance + } + + public registerQueue(name: string, queue: BaseQueue) { + this.queues.set(name, queue) + } + + public getConnection() { + return this.connection + } + + public getQueue(name: QUEUE_TYPE): BaseQueue { + const queue = this.queues.get(name) + if (!queue) throw new Error(`Queue ${name} not found`) + return queue + } + + public getPredictionQueueEventsProducer(): QueueEventsProducer { + if (!this.predictionQueueEventsProducer) throw new Error('Prediction queue events producer not found') + return this.predictionQueueEventsProducer + } + + public getBullBoardRouter(): Express { + if (!this.bullBoardRouter) throw new Error('BullBoard router not found') + return this.bullBoardRouter + } + + public async getAllJobCounts(): Promise<{ [queueName: string]: { [status: string]: number } }> { + const counts: { [queueName: string]: { [status: string]: number } } = {} + + for (const [name, queue] of this.queues) { + counts[name] = await queue.getJobCounts() + } + + return counts + } + + public setupAllQueues({ + componentNodes, + telemetry, + cachePool, + appDataSource, + abortControllerPool + }: { + componentNodes: IComponentNodes + telemetry: Telemetry + cachePool: CachePool + appDataSource: DataSource + abortControllerPool: AbortControllerPool + }) { + const predictionQueueName = `${QUEUE_NAME}-prediction` + const predictionQueue = new PredictionQueue(predictionQueueName, this.connection, { + componentNodes, + telemetry, + cachePool, + appDataSource, + abortControllerPool + }) + this.registerQueue('prediction', predictionQueue) + this.predictionQueueEventsProducer = new QueueEventsProducer(predictionQueue.getQueueName(), { + connection: this.connection + }) + + const upsertionQueueName = `${QUEUE_NAME}-upsertion` + const upsertionQueue = new UpsertQueue(upsertionQueueName, this.connection, { + componentNodes, + telemetry, + cachePool, + appDataSource + }) + this.registerQueue('upsert', upsertionQueue) + + const bullboard = createBullBoard([new BullMQAdapter(predictionQueue.getQueue()), new BullMQAdapter(upsertionQueue.getQueue())]) + this.bullBoardRouter = bullboard.router + } +} diff --git a/packages/server/src/queue/RedisEventPublisher.ts b/packages/server/src/queue/RedisEventPublisher.ts new file mode 100644 index 00000000000..946aae93a41 --- /dev/null +++ b/packages/server/src/queue/RedisEventPublisher.ts @@ -0,0 +1,262 @@ +import { IServerSideEventStreamer } from 'flowise-components' +import { createClient } from 'redis' + +export class RedisEventPublisher implements IServerSideEventStreamer { + private redisPublisher: ReturnType + + constructor() { + if (process.env.REDIS_URL) { + this.redisPublisher = createClient({ + url: process.env.REDIS_URL + }) + } else { + this.redisPublisher = createClient({ + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + socket: { + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + tls: process.env.REDIS_TLS === 'true', + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + }) + } + } + + async connect() { + await this.redisPublisher.connect() + } + + streamCustomEvent(chatId: string, eventType: string, data: any) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType, + data + }) + ) + } catch (error) { + console.error('Error streaming custom event:', error) + } + } + + streamStartEvent(chatId: string, data: string) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'start', + data + }) + ) + } catch (error) { + console.error('Error streaming start event:', error) + } + } + + streamTokenEvent(chatId: string, data: string) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'token', + data + }) + ) + } catch (error) { + console.error('Error streaming token event:', error) + } + } + + streamSourceDocumentsEvent(chatId: string, data: any) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'sourceDocuments', + data + }) + ) + } catch (error) { + console.error('Error streaming sourceDocuments event:', error) + } + } + + streamArtifactsEvent(chatId: string, data: any) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'artifacts', + data + }) + ) + } catch (error) { + console.error('Error streaming artifacts event:', error) + } + } + + streamUsedToolsEvent(chatId: string, data: any) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'usedTools', + data + }) + ) + } catch (error) { + console.error('Error streaming usedTools event:', error) + } + } + + streamFileAnnotationsEvent(chatId: string, data: any) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'fileAnnotations', + data + }) + ) + } catch (error) { + console.error('Error streaming fileAnnotations event:', error) + } + } + + streamToolEvent(chatId: string, data: any): void { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'tool', + data + }) + ) + } catch (error) { + console.error('Error streaming tool event:', error) + } + } + + streamAgentReasoningEvent(chatId: string, data: any): void { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'agentReasoning', + data + }) + ) + } catch (error) { + console.error('Error streaming agentReasoning event:', error) + } + } + + streamNextAgentEvent(chatId: string, data: any): void { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'nextAgent', + data + }) + ) + } catch (error) { + console.error('Error streaming nextAgent event:', error) + } + } + + streamActionEvent(chatId: string, data: any): void { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'action', + data + }) + ) + } catch (error) { + console.error('Error streaming action event:', error) + } + } + + streamAbortEvent(chatId: string): void { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'abort', + data: '[DONE]' + }) + ) + } catch (error) { + console.error('Error streaming abort event:', error) + } + } + + streamEndEvent(_: string) { + // placeholder for future use + } + + streamErrorEvent(chatId: string, msg: string) { + try { + this.redisPublisher.publish( + chatId, + JSON.stringify({ + chatId, + eventType: 'error', + data: msg + }) + ) + } catch (error) { + console.error('Error streaming error event:', error) + } + } + + streamMetadataEvent(chatId: string, apiResponse: any) { + try { + const metadataJson: any = {} + if (apiResponse.chatId) { + metadataJson['chatId'] = apiResponse.chatId + } + if (apiResponse.chatMessageId) { + metadataJson['chatMessageId'] = apiResponse.chatMessageId + } + if (apiResponse.question) { + metadataJson['question'] = apiResponse.question + } + if (apiResponse.sessionId) { + metadataJson['sessionId'] = apiResponse.sessionId + } + if (apiResponse.memoryType) { + metadataJson['memoryType'] = apiResponse.memoryType + } + if (Object.keys(metadataJson).length > 0) { + this.streamCustomEvent(chatId, 'metadata', metadataJson) + } + } catch (error) { + console.error('Error streaming metadata event:', error) + } + } + + async disconnect() { + if (this.redisPublisher) { + await this.redisPublisher.quit() + } + } +} diff --git a/packages/server/src/queue/RedisEventSubscriber.ts b/packages/server/src/queue/RedisEventSubscriber.ts new file mode 100644 index 00000000000..81b18e3cc84 --- /dev/null +++ b/packages/server/src/queue/RedisEventSubscriber.ts @@ -0,0 +1,108 @@ +import { createClient } from 'redis' +import { SSEStreamer } from '../utils/SSEStreamer' + +export class RedisEventSubscriber { + private redisSubscriber: ReturnType + private sseStreamer: SSEStreamer + private subscribedChannels: Set = new Set() + + constructor(sseStreamer: SSEStreamer) { + if (process.env.REDIS_URL) { + this.redisSubscriber = createClient({ + url: process.env.REDIS_URL + }) + } else { + this.redisSubscriber = createClient({ + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + socket: { + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + tls: process.env.REDIS_TLS === 'true', + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + }) + } + this.sseStreamer = sseStreamer + } + + async connect() { + await this.redisSubscriber.connect() + } + + subscribe(channel: string) { + // Subscribe to the Redis channel for job events + if (!this.redisSubscriber) { + throw new Error('Redis subscriber not connected.') + } + + // Check if already subscribed + if (this.subscribedChannels.has(channel)) { + return // Prevent duplicate subscription + } + + this.redisSubscriber.subscribe(channel, (message) => { + this.handleEvent(message) + }) + + // Mark the channel as subscribed + this.subscribedChannels.add(channel) + } + + private handleEvent(message: string) { + // Parse the message from Redis + const event = JSON.parse(message) + const { eventType, chatId, data } = event + + // Stream the event to the client + switch (eventType) { + case 'start': + this.sseStreamer.streamStartEvent(chatId, data) + break + case 'token': + this.sseStreamer.streamTokenEvent(chatId, data) + break + case 'sourceDocuments': + this.sseStreamer.streamSourceDocumentsEvent(chatId, data) + break + case 'artifacts': + this.sseStreamer.streamArtifactsEvent(chatId, data) + break + case 'usedTools': + this.sseStreamer.streamUsedToolsEvent(chatId, data) + break + case 'fileAnnotations': + this.sseStreamer.streamFileAnnotationsEvent(chatId, data) + break + case 'tool': + this.sseStreamer.streamToolEvent(chatId, data) + break + case 'agentReasoning': + this.sseStreamer.streamAgentReasoningEvent(chatId, data) + break + case 'nextAgent': + this.sseStreamer.streamNextAgentEvent(chatId, data) + break + case 'action': + this.sseStreamer.streamActionEvent(chatId, data) + break + case 'abort': + this.sseStreamer.streamAbortEvent(chatId) + break + case 'error': + this.sseStreamer.streamErrorEvent(chatId, data) + break + case 'metadata': + this.sseStreamer.streamMetadataEvent(chatId, data) + break + } + } + + async disconnect() { + if (this.redisSubscriber) { + await this.redisSubscriber.quit() + } + } +} diff --git a/packages/server/src/queue/UpsertQueue.ts b/packages/server/src/queue/UpsertQueue.ts new file mode 100644 index 00000000000..451c413e750 --- /dev/null +++ b/packages/server/src/queue/UpsertQueue.ts @@ -0,0 +1,85 @@ +import { DataSource } from 'typeorm' +import { + IComponentNodes, + IExecuteDocStoreUpsert, + IExecuteFlowParams, + IExecutePreviewLoader, + IExecuteProcessLoader, + IExecuteVectorStoreInsert +} from '../Interface' +import { Telemetry } from '../utils/telemetry' +import { CachePool } from '../CachePool' +import { BaseQueue } from './BaseQueue' +import { executeUpsert } from '../utils/upsertVector' +import { executeDocStoreUpsert, insertIntoVectorStore, previewChunks, processLoader } from '../services/documentstore' +import { RedisOptions } from 'bullmq' +import logger from '../utils/logger' + +interface UpsertQueueOptions { + appDataSource: DataSource + telemetry: Telemetry + cachePool: CachePool + componentNodes: IComponentNodes +} + +export class UpsertQueue extends BaseQueue { + private componentNodes: IComponentNodes + private telemetry: Telemetry + private cachePool: CachePool + private appDataSource: DataSource + private queueName: string + + constructor(name: string, connection: RedisOptions, options: UpsertQueueOptions) { + super(name, connection) + this.queueName = name + this.componentNodes = options.componentNodes || {} + this.telemetry = options.telemetry + this.cachePool = options.cachePool + this.appDataSource = options.appDataSource + } + + public getQueueName() { + return this.queueName + } + + public getQueue() { + return this.queue + } + + async processJob( + data: IExecuteFlowParams | IExecuteDocStoreUpsert | IExecuteProcessLoader | IExecuteVectorStoreInsert | IExecutePreviewLoader + ) { + if (this.appDataSource) data.appDataSource = this.appDataSource + if (this.telemetry) data.telemetry = this.telemetry + if (this.cachePool) data.cachePool = this.cachePool + if (this.componentNodes) data.componentNodes = this.componentNodes + + // document-store/loader/preview + if (Object.prototype.hasOwnProperty.call(data, 'isPreviewOnly')) { + logger.info('Previewing loader...') + return await previewChunks(data as IExecutePreviewLoader) + } + + // document-store/loader/process/:loaderId + if (Object.prototype.hasOwnProperty.call(data, 'isProcessWithoutUpsert')) { + logger.info('Processing loader...') + return await processLoader(data as IExecuteProcessLoader) + } + + // document-store/vectorstore/insert/:loaderId + if (Object.prototype.hasOwnProperty.call(data, 'isVectorStoreInsert')) { + logger.info('Inserting vector store...') + return await insertIntoVectorStore(data as IExecuteVectorStoreInsert) + } + + // document-store/upsert/:storeId + if (Object.prototype.hasOwnProperty.call(data, 'storeId')) { + logger.info('Upserting to vector store via document loader...') + return await executeDocStoreUpsert(data as IExecuteDocStoreUpsert) + } + + // upsert-vector/:chatflowid + logger.info('Upserting to vector store via chatflow...') + return await executeUpsert(data as IExecuteFlowParams) + } +} diff --git a/packages/server/src/routes/apikey/index.ts b/packages/server/src/routes/apikey/index.ts index dbc043dd59e..9ff44137f2e 100644 --- a/packages/server/src/routes/apikey/index.ts +++ b/packages/server/src/routes/apikey/index.ts @@ -1,5 +1,6 @@ import express from 'express' import apikeyController from '../../controllers/apikey' +import enforceAbility from '../../middlewares/authentication/enforceAbility' const router = express.Router() // CREATE @@ -7,7 +8,7 @@ router.post('/', apikeyController.createApiKey) router.post('/import', apikeyController.importKeys) // READ -router.get('/', apikeyController.getAllApiKeys) +router.get('/', enforceAbility('ApiKey'), apikeyController.getAllApiKeys) // UPDATE router.put(['/', '/:id'], apikeyController.updateApiKey) diff --git a/packages/server/src/routes/assistants/index.ts b/packages/server/src/routes/assistants/index.ts index 7b01cdd0111..f7754bcac8f 100644 --- a/packages/server/src/routes/assistants/index.ts +++ b/packages/server/src/routes/assistants/index.ts @@ -16,4 +16,11 @@ router.put(['/', '/:id'], assistantsController.updateAssistant) // DELETE router.delete(['/', '/:id'], assistantsController.deleteAssistant) +router.get('/components/chatmodels', assistantsController.getChatModels) +router.get('/components/docstores', assistantsController.getDocumentStores) +router.get('/components/tools', assistantsController.getTools) + +// Generate Assistant Instruction +router.post('/generate/instruction', assistantsController.generateAssistantInstruction) + export default router diff --git a/packages/server/src/routes/attachments/index.ts b/packages/server/src/routes/attachments/index.ts new file mode 100644 index 00000000000..3a67ba67c5f --- /dev/null +++ b/packages/server/src/routes/attachments/index.ts @@ -0,0 +1,10 @@ +import express from 'express' +import attachmentsController from '../../controllers/attachments' +import { getMulterStorage } from '../../utils' + +const router = express.Router() + +// CREATE +router.post('/:chatflowId/:chatId', getMulterStorage().array('files'), attachmentsController.createAttachment) + +export default router diff --git a/packages/server/src/routes/documentstore/index.ts b/packages/server/src/routes/documentstore/index.ts index 3249f5c4832..51bc6e73898 100644 --- a/packages/server/src/routes/documentstore/index.ts +++ b/packages/server/src/routes/documentstore/index.ts @@ -1,18 +1,26 @@ import express from 'express' import documentStoreController from '../../controllers/documentstore' +import { getMulterStorage } from '../../utils' + const router = express.Router() +router.post(['/upsert/', '/upsert/:id'], getMulterStorage().array('files'), documentStoreController.upsertDocStoreMiddleware) + +router.post(['/refresh/', '/refresh/:id'], documentStoreController.refreshDocStoreMiddleware) + /** Document Store Routes */ // Create document store router.post('/store', documentStoreController.createDocumentStore) // List all stores -router.get('/stores', documentStoreController.getAllDocumentStores) +router.get('/store', documentStoreController.getAllDocumentStores) // Get specific store router.get('/store/:id', documentStoreController.getDocumentStoreById) // Update documentStore router.put('/store/:id', documentStoreController.updateDocumentStore) // Delete documentStore router.delete('/store/:id', documentStoreController.deleteDocumentStore) +// Get document store configs +router.get('/store-configs/:id/:loaderId', documentStoreController.getDocStoreConfigs) /** Component Nodes = Document Store - Loaders */ // Get all loaders @@ -22,8 +30,10 @@ router.get('/components/loaders', documentStoreController.getDocumentLoaders) router.delete('/loader/:id/:loaderId', documentStoreController.deleteLoaderFromDocumentStore) // chunking preview router.post('/loader/preview', documentStoreController.previewFileChunks) +// saving process +router.post('/loader/save', documentStoreController.saveProcessingLoader) // chunking process -router.post('/loader/process', documentStoreController.processFileChunks) +router.post('/loader/process/:loaderId', documentStoreController.processLoader) /** Document Store - Loaders - Chunks */ // delete specific file chunk from the store @@ -53,4 +63,7 @@ router.get('/components/recordmanager', documentStoreController.getRecordManager // update the selected vector store from the playground router.post('/vectorstore/update', documentStoreController.updateVectorStoreConfigOnly) +// generate docstore tool description +router.post('/generate-tool-desc/:id', documentStoreController.generateDocStoreToolDesc) + export default router diff --git a/packages/server/src/routes/export-import/index.ts b/packages/server/src/routes/export-import/index.ts new file mode 100644 index 00000000000..40c3930d2fd --- /dev/null +++ b/packages/server/src/routes/export-import/index.ts @@ -0,0 +1,9 @@ +import express from 'express' +import exportImportController from '../../controllers/export-import' +const router = express.Router() + +router.post('/export', exportImportController.exportData) + +router.post('/import', exportImportController.importData) + +export default router diff --git a/packages/server/src/routes/index.ts b/packages/server/src/routes/index.ts index 6197e82743c..78bc3f0b8d8 100644 --- a/packages/server/src/routes/index.ts +++ b/packages/server/src/routes/index.ts @@ -1,6 +1,7 @@ import express from 'express' import apikeyRouter from './apikey' import assistantsRouter from './assistants' +import attachmentsRouter from './attachments' import chatMessageRouter from './chat-messages' import chatflowsRouter from './chatflows' import chatflowsStreamingRouter from './chatflows-streaming' @@ -9,6 +10,7 @@ import componentsCredentialsRouter from './components-credentials' import componentsCredentialsIconRouter from './components-credentials-icon' import credentialsRouter from './credentials' import documentStoreRouter from './documentstore' +import exportImportRouter from './export-import' import feedbackRouter from './feedback' import fetchLinksRouter from './fetch-links' import flowConfigRouter from './flow-config' @@ -27,6 +29,7 @@ import nodesRouter from './nodes' import openaiAssistantsRouter from './openai-assistants' import openaiAssistantsFileRouter from './openai-assistants-files' import openaiAssistantsVectorStoreRouter from './openai-assistants-vector-store' +import openaiRealtimeRouter from './openai-realtime' import pingRouter from './ping' import predictionRouter from './predictions' import promptListsRouter from './prompts-lists' @@ -42,6 +45,7 @@ import versionRouter from './versions' import planRouter from './plan' import chatsRouter from './chats' import googleAuthRouter from './google-auth' +import nvidiaNimRouter from './nvidia-nim' const router = express.Router() @@ -49,6 +53,7 @@ router.use('/', googleAuthRouter) router.use('/ping', pingRouter) router.use('/apikey', apikeyRouter) router.use('/assistants', assistantsRouter) +router.use('/attachments', attachmentsRouter) router.use('/chatflows', chatflowsRouter) router.use('/chatflows-streaming', chatflowsStreamingRouter) router.use('/chatmessage', chatMessageRouter) @@ -57,6 +62,7 @@ router.use('/components-credentials-icon', componentsCredentialsIconRouter) router.use('/chatflows-uploads', chatflowsUploadsRouter) router.use('/credentials', credentialsRouter) router.use('/document-store', documentStoreRouter) +router.use('/export-import', exportImportRouter) router.use('/feedback', feedbackRouter) router.use('/fetch-links', fetchLinksRouter) router.use('/flow-config', flowConfigRouter) @@ -76,6 +82,7 @@ router.use('/openai-assistants', openaiAssistantsRouter) router.use('/openai-assistants-file', openaiAssistantsFileRouter) router.use('/openai-assistants-vector-store', openaiAssistantsVectorStoreRouter) router.use('/plan', planRouter) +router.use('/openai-realtime', openaiRealtimeRouter) router.use('/prediction', predictionRouter) router.use('/prompts-list', promptListsRouter) router.use('/public-chatbotConfig', publicChatbotRouter) @@ -88,5 +95,6 @@ router.use('/verify', verifyRouter) router.use('/version', versionRouter) router.use('/upsert-history', upsertHistoryRouter) router.use('/chats', chatsRouter) +router.use('/nvidia-nim', nvidiaNimRouter) export default router diff --git a/packages/server/src/routes/marketplaces/index.ts b/packages/server/src/routes/marketplaces/index.ts index 19172988405..d0773e3aaa0 100644 --- a/packages/server/src/routes/marketplaces/index.ts +++ b/packages/server/src/routes/marketplaces/index.ts @@ -6,4 +6,12 @@ const router = express.Router() router.get('/templates', marketplacesController.getAllTemplates) router.get('/templates/:id', marketplacesController.getMarketplaceTemplate) +router.post('/custom', marketplacesController.saveCustomTemplate) + +// READ +router.get('/custom', marketplacesController.getAllCustomTemplates) + +// DELETE +router.delete(['/', '/custom/:id'], marketplacesController.deleteCustomTemplate) + export default router diff --git a/packages/server/src/routes/nvidia-nim/index.ts b/packages/server/src/routes/nvidia-nim/index.ts new file mode 100644 index 00000000000..9f695db4c63 --- /dev/null +++ b/packages/server/src/routes/nvidia-nim/index.ts @@ -0,0 +1,14 @@ +import express from 'express' +import nimController from '../../controllers/nvidia-nim' +const router = express.Router() + +// READ +router.get('/preload', nimController.preload) +router.get('/get-token', nimController.getToken) +router.get('/download-installer', nimController.downloadInstaller) +router.post('/pull-image', nimController.pullImage) +router.post('/start-container', nimController.startContainer) +router.post('/get-image', nimController.getImage) +router.post('/get-container', nimController.getContainer) + +export default router diff --git a/packages/server/src/routes/openai-assistants-files/index.ts b/packages/server/src/routes/openai-assistants-files/index.ts index 771e5fd6d26..302f8c2f82e 100644 --- a/packages/server/src/routes/openai-assistants-files/index.ts +++ b/packages/server/src/routes/openai-assistants-files/index.ts @@ -1,12 +1,10 @@ import express from 'express' -import multer from 'multer' -import path from 'path' import openaiAssistantsController from '../../controllers/openai-assistants' +import { getMulterStorage } from '../../utils' const router = express.Router() -const upload = multer({ dest: `${path.join(__dirname, '..', '..', '..', 'uploads')}/` }) router.post('/download/', openaiAssistantsController.getFileFromAssistant) -router.post('/upload/', upload.array('files'), openaiAssistantsController.uploadAssistantFiles) +router.post('/upload/', getMulterStorage().array('files'), openaiAssistantsController.uploadAssistantFiles) export default router diff --git a/packages/server/src/routes/openai-assistants-vector-store/index.ts b/packages/server/src/routes/openai-assistants-vector-store/index.ts index 1560e37ecf7..0706c9eb4e6 100644 --- a/packages/server/src/routes/openai-assistants-vector-store/index.ts +++ b/packages/server/src/routes/openai-assistants-vector-store/index.ts @@ -1,10 +1,8 @@ import express from 'express' -import multer from 'multer' -import path from 'path' import openaiAssistantsVectorStoreController from '../../controllers/openai-assistants-vector-store' +import { getMulterStorage } from '../../utils' const router = express.Router() -const upload = multer({ dest: `${path.join(__dirname, '..', '..', '..', 'uploads')}/` }) // CREATE router.post('/', openaiAssistantsVectorStoreController.createAssistantVectorStore) @@ -22,7 +20,7 @@ router.put(['/', '/:id'], openaiAssistantsVectorStoreController.updateAssistantV router.delete(['/', '/:id'], openaiAssistantsVectorStoreController.deleteAssistantVectorStore) // POST -router.post('/:id', upload.array('files'), openaiAssistantsVectorStoreController.uploadFilesToAssistantVectorStore) +router.post('/:id', getMulterStorage().array('files'), openaiAssistantsVectorStoreController.uploadFilesToAssistantVectorStore) // DELETE router.patch(['/', '/:id'], openaiAssistantsVectorStoreController.deleteFilesFromAssistantVectorStore) diff --git a/packages/server/src/routes/openai-realtime/index.ts b/packages/server/src/routes/openai-realtime/index.ts new file mode 100644 index 00000000000..68ed0427da4 --- /dev/null +++ b/packages/server/src/routes/openai-realtime/index.ts @@ -0,0 +1,12 @@ +import express from 'express' +import openaiRealTimeController from '../../controllers/openai-realtime' + +const router = express.Router() + +// GET +router.get(['/', '/:id'], openaiRealTimeController.getAgentTools) + +// EXECUTE +router.post(['/', '/:id'], openaiRealTimeController.executeAgentTool) + +export default router diff --git a/packages/server/src/routes/predictions/index.ts b/packages/server/src/routes/predictions/index.ts index ded2d34248d..40f37eef17c 100644 --- a/packages/server/src/routes/predictions/index.ts +++ b/packages/server/src/routes/predictions/index.ts @@ -1,13 +1,15 @@ import express from 'express' -import multer from 'multer' -import path from 'path' import predictionsController from '../../controllers/predictions' +import { getMulterStorage } from '../../utils' const router = express.Router() -const upload = multer({ dest: `${path.join(__dirname, '..', '..', '..', 'uploads')}/` }) - // CREATE -router.post(['/', '/:id'], upload.array('files'), predictionsController.getRateLimiterMiddleware, predictionsController.createPrediction) +router.post( + ['/', '/:id'], + getMulterStorage().array('files'), + predictionsController.getRateLimiterMiddleware, + predictionsController.createPrediction +) export default router diff --git a/packages/server/src/routes/vectors/index.ts b/packages/server/src/routes/vectors/index.ts index b0da82b64ba..f03e0dc7f7e 100644 --- a/packages/server/src/routes/vectors/index.ts +++ b/packages/server/src/routes/vectors/index.ts @@ -1,19 +1,16 @@ import express from 'express' -import multer from 'multer' -import path from 'path' import vectorsController from '../../controllers/vectors' +import { getMulterStorage } from '../../utils' const router = express.Router() -const upload = multer({ dest: `${path.join(__dirname, '..', '..', '..', 'uploads')}/` }) - // CREATE router.post( ['/upsert/', '/upsert/:id'], - upload.array('files'), + getMulterStorage().array('files'), vectorsController.getRateLimiterMiddleware, vectorsController.upsertVectorMiddleware ) -router.post(['/internal-upsert/', '/internal-upsert/:id'], vectorsController.createInternalUpsert) +router.post(['/internal-upsert/', '/internal-upsert/:id'], getMulterStorage().array('files'), vectorsController.createInternalUpsert) export default router diff --git a/packages/server/src/services/apikey/index.ts b/packages/server/src/services/apikey/index.ts index d4ce3a0e8ba..00c4a1a0f60 100644 --- a/packages/server/src/services/apikey/index.ts +++ b/packages/server/src/services/apikey/index.ts @@ -29,6 +29,9 @@ const _apikeysStoredInDb = (): boolean => { } const getAllApiKeys = async (user: IUser) => { + if (!user) { + throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) + } try { if (_apikeysStoredInJson()) { const keys = await getAPIKeys_json() @@ -59,14 +62,14 @@ const getAllApiKeys = async (user: IUser) => { } } -const getApiKey = async (keyName: string) => { +const getApiKey = async (apiKey: string) => { try { if (_apikeysStoredInJson()) { - return getApiKey_json(keyName) + return getApiKey_json(apiKey) } else if (_apikeysStoredInDb()) { const appServer = getRunningExpressApp() const currentKey = await appServer.AppDataSource.getRepository(ApiKey).findOneBy({ - keyName: keyName + apiKey: apiKey }) if (!currentKey) { return undefined diff --git a/packages/server/src/services/assistants/index.ts b/packages/server/src/services/assistants/index.ts index 48a926d4502..0681376bc53 100644 --- a/packages/server/src/services/assistants/index.ts +++ b/packages/server/src/services/assistants/index.ts @@ -4,17 +4,44 @@ import { uniqWith, isEqual, cloneDeep } from 'lodash' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' import { Assistant } from '../../database/entities/Assistant' import { Credential } from '../../database/entities/Credential' -import { decryptCredentialData, getAppVersion } from '../../utils' +import { databaseEntities, decryptCredentialData, getAppVersion } from '../../utils' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' - -const createAssistant = async (requestBody: any): Promise => { +import { DeleteResult, QueryRunner } from 'typeorm' +import { FLOWISE_METRIC_COUNTERS, FLOWISE_COUNTER_STATUS } from '../../Interface.Metrics' +import { AssistantType } from '../../Interface' +import nodesService from '../nodes' +import { DocumentStore } from '../../database/entities/DocumentStore' +import { ICommonObject } from 'flowise-components' +import logger from '../../utils/logger' +import { ASSISTANT_PROMPT_GENERATOR } from '../../utils/prompt' +import { INPUT_PARAMS_TYPE } from '../../utils/constants' + +const createAssistant = async (requestBody: any): Promise => { try { const appServer = getRunningExpressApp() if (!requestBody.details) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Invalid request body`) } const assistantDetails = JSON.parse(requestBody.details) + + if (requestBody.type === 'CUSTOM') { + const newAssistant = new Assistant() + Object.assign(newAssistant, requestBody) + + const assistant = appServer.AppDataSource.getRepository(Assistant).create(newAssistant) + const dbResponse = await appServer.AppDataSource.getRepository(Assistant).save(assistant) + + await appServer.telemetry.sendTelemetry('assistant_created', { + version: await getAppVersion(), + assistantId: dbResponse.id + }) + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.ASSISTANT_CREATED, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) + return dbResponse + } + try { const credential = await appServer.AppDataSource.getRepository(Credential).findOneBy({ id: requestBody.credential @@ -110,6 +137,7 @@ const createAssistant = async (requestBody: any): Promise => { version: await getAppVersion(), assistantId: dbResponse.id }) + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.ASSISTANT_CREATED, { status: FLOWISE_COUNTER_STATUS.SUCCESS }) return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -119,7 +147,7 @@ const createAssistant = async (requestBody: any): Promise => { } } -const deleteAssistant = async (assistantId: string, isDeleteBoth: any): Promise => { +const deleteAssistant = async (assistantId: string, isDeleteBoth: any): Promise => { try { const appServer = getRunningExpressApp() const assistant = await appServer.AppDataSource.getRepository(Assistant).findOneBy({ @@ -128,6 +156,10 @@ const deleteAssistant = async (assistantId: string, isDeleteBoth: any): Promise< if (!assistant) { throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Assistant ${assistantId} not found`) } + if (assistant.type === 'CUSTOM') { + const dbResponse = await appServer.AppDataSource.getRepository(Assistant).delete({ id: assistantId }) + return dbResponse + } try { const assistantDetails = JSON.parse(assistant.details) const credential = await appServer.AppDataSource.getRepository(Credential).findOneBy({ @@ -150,11 +182,7 @@ const deleteAssistant = async (assistantId: string, isDeleteBoth: any): Promise< if (isDeleteBoth) await openai.beta.assistants.del(assistantDetails.id) return dbResponse } catch (error: any) { - if (error.status === 404 && error.type === 'invalid_request_error') { - return 'OK' - } else { - throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error deleting assistant - ${getErrorMessage(error)}`) - } + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error deleting assistant - ${getErrorMessage(error)}`) } } catch (error) { throw new InternalFlowiseError( @@ -164,9 +192,15 @@ const deleteAssistant = async (assistantId: string, isDeleteBoth: any): Promise< } } -const getAllAssistants = async (): Promise => { +const getAllAssistants = async (type?: AssistantType): Promise => { try { const appServer = getRunningExpressApp() + if (type) { + const dbResponse = await appServer.AppDataSource.getRepository(Assistant).findBy({ + type + }) + return dbResponse + } const dbResponse = await appServer.AppDataSource.getRepository(Assistant).find() return dbResponse } catch (error) { @@ -177,7 +211,7 @@ const getAllAssistants = async (): Promise => { } } -const getAssistantById = async (assistantId: string): Promise => { +const getAssistantById = async (assistantId: string): Promise => { try { const appServer = getRunningExpressApp() const dbResponse = await appServer.AppDataSource.getRepository(Assistant).findOneBy({ @@ -195,7 +229,7 @@ const getAssistantById = async (assistantId: string): Promise => { } } -const updateAssistant = async (assistantId: string, requestBody: any): Promise => { +const updateAssistant = async (assistantId: string, requestBody: any): Promise => { try { const appServer = getRunningExpressApp() const assistant = await appServer.AppDataSource.getRepository(Assistant).findOneBy({ @@ -205,6 +239,17 @@ const updateAssistant = async (assistantId: string, requestBody: any): Promise[], queryRunner?: QueryRunner): Promise => { + try { + const appServer = getRunningExpressApp() + const repository = queryRunner ? queryRunner.manager.getRepository(Assistant) : appServer.AppDataSource.getRepository(Assistant) + + // step 1 - check whether array is zero + if (newAssistants.length == 0) return + + // step 2 - check whether ids are duplicate in database + let ids = '(' + let count: number = 0 + const lastCount = newAssistants.length - 1 + newAssistants.forEach((newAssistant) => { + ids += `'${newAssistant.id}'` + if (lastCount != count) ids += ',' + if (lastCount == count) ids += ')' + count += 1 + }) + + const selectResponse = await repository + .createQueryBuilder('assistant') + .select('assistant.id') + .where(`assistant.id IN ${ids}`) + .getMany() + const foundIds = selectResponse.map((response) => { + return response.id + }) + + // step 3 - remove ids that are only duplicate + const prepVariables: Partial[] = newAssistants.map((newAssistant) => { + let id: string = '' + if (newAssistant.id) id = newAssistant.id + if (foundIds.includes(id)) { + newAssistant.id = undefined + } + return newAssistant + }) + + // step 4 - transactional insert array of entities + const insertResponse = await repository.insert(prepVariables) + + return insertResponse + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: assistantsService.importAssistants - ${getErrorMessage(error)}` + ) + } +} + +const getChatModels = async (): Promise => { + try { + const dbResponse = await nodesService.getAllNodesForCategory('Chat Models') + return dbResponse.filter((node) => !node.tags?.includes('LlamaIndex')) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: assistantsService.getChatModels - ${getErrorMessage(error)}` + ) + } +} + +const getDocumentStores = async (): Promise => { + try { + const appServer = getRunningExpressApp() + const stores = await appServer.AppDataSource.getRepository(DocumentStore).find() + const returnData = [] + for (const store of stores) { + if (store.status === 'UPSERTED') { + const obj = { + name: store.id, + label: store.name, + description: store.description + } + returnData.push(obj) + } + } + return returnData + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: assistantsService.getDocumentStores - ${getErrorMessage(error)}` + ) + } +} + +const getTools = async (): Promise => { + try { + const tools = await nodesService.getAllNodesForCategory('Tools') + + // filter out those tools that input params type are not in the list + const filteredTools = tools.filter((tool) => { + const inputs = tool.inputs || [] + return inputs.every((input) => INPUT_PARAMS_TYPE.includes(input.type)) + }) + return filteredTools + } catch (error) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error: assistantsService.getTools - ${getErrorMessage(error)}`) + } +} + +const generateAssistantInstruction = async (task: string, selectedChatModel: ICommonObject): Promise => { + try { + const appServer = getRunningExpressApp() + + if (selectedChatModel && Object.keys(selectedChatModel).length > 0) { + const nodeInstanceFilePath = appServer.nodesPool.componentNodes[selectedChatModel.name].filePath as string + const nodeModule = await import(nodeInstanceFilePath) + const newNodeInstance = new nodeModule.nodeClass() + const nodeData = { + credential: selectedChatModel.credential || selectedChatModel.inputs['FLOWISE_CREDENTIAL_ID'] || undefined, + inputs: selectedChatModel.inputs, + id: `${selectedChatModel.name}_0` + } + const options: ICommonObject = { + appDataSource: appServer.AppDataSource, + databaseEntities, + logger + } + const llmNodeInstance = await newNodeInstance.init(nodeData, '', options) + const response = await llmNodeInstance.invoke([ + { + role: 'user', + content: ASSISTANT_PROMPT_GENERATOR.replace('{{task}}', task) + } + ]) + const content = response?.content || response.kwargs?.content + + return { content } + } + + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: assistantsService.generateAssistantInstruction - Error generating tool description` + ) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: assistantsService.generateAssistantInstruction - ${getErrorMessage(error)}` + ) + } +} + export default { createAssistant, deleteAssistant, getAllAssistants, getAssistantById, - updateAssistant + updateAssistant, + importAssistants, + getChatModels, + getDocumentStores, + getTools, + generateAssistantInstruction } diff --git a/packages/server/src/services/attachments/index.ts b/packages/server/src/services/attachments/index.ts new file mode 100644 index 00000000000..ea9814da534 --- /dev/null +++ b/packages/server/src/services/attachments/index.ts @@ -0,0 +1,20 @@ +import { Request } from 'express' +import { StatusCodes } from 'http-status-codes' +import { createFileAttachment } from '../../utils/createAttachment' +import { InternalFlowiseError } from '../../errors/internalFlowiseError' +import { getErrorMessage } from '../../errors/utils' + +const createAttachment = async (req: Request) => { + try { + return await createFileAttachment(req) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: attachmentService.createAttachment - ${getErrorMessage(error)}` + ) + } +} + +export default { + createAttachment +} diff --git a/packages/server/src/services/chat-messages/index.ts b/packages/server/src/services/chat-messages/index.ts index 7ba29620595..a1fa2ab8fae 100644 --- a/packages/server/src/services/chat-messages/index.ts +++ b/packages/server/src/services/chat-messages/index.ts @@ -1,6 +1,6 @@ import { DeleteResult, FindOptionsWhere } from 'typeorm' import { StatusCodes } from 'http-status-codes' -import { ChatMessageRatingType, chatType, IChatMessage, IUser } from '../../Interface' +import { ChatMessageRatingType, ChatType, IChatMessage, IUser, MODE } from '../../Interface' import { utilGetChatMessage } from '../../utils/getChatMessage' import { utilAddChatMessage } from '../../utils/addChatMesage' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' @@ -14,7 +14,8 @@ import { getErrorMessage } from '../../errors/utils' // Add chatmessages for chatflowid const createChatMessage = async (chatMessage: Partial, userId?: string) => { try { - const dbResponse = await utilAddChatMessage(chatMessage, userId) + const appServer = getRunningExpressApp() + const dbResponse = await utilAddChatMessage(chatMessage, appServer.AppDataSource, userId) return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -28,7 +29,7 @@ const createChatMessage = async (chatMessage: Partial, userId?: st const getAllChatMessages = async ( user: IUser, chatflowId: string, - chatTypeFilter: chatType | undefined, + chatTypes: ChatType[] | undefined, sortOrder: string = 'ASC', chatId?: string, memoryType?: string, @@ -37,14 +38,13 @@ const getAllChatMessages = async ( endDate?: string, messageId?: string, feedback?: boolean, - feedbackTypes?: ChatMessageRatingType[], - userId?: string + feedbackTypes?: ChatMessageRatingType[] ): Promise => { try { - const dbResponse = await utilGetChatMessage( + const dbResponse = await utilGetChatMessage({ user, - chatflowId, - chatTypeFilter, + chatflowid: chatflowId, + chatTypes, sortOrder, chatId, memoryType, @@ -53,9 +53,8 @@ const getAllChatMessages = async ( endDate, messageId, feedback, - feedbackTypes, - userId - ) + feedbackTypes + }) return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -69,7 +68,7 @@ const getAllChatMessages = async ( const getAllInternalChatMessages = async ( user: IUser, chatflowId: string, - chatTypeFilter: chatType | undefined, + chatTypes: ChatType[] | undefined, sortOrder: string = 'ASC', chatId?: string, memoryType?: string, @@ -78,14 +77,13 @@ const getAllInternalChatMessages = async ( endDate?: string, messageId?: string, feedback?: boolean, - feedbackTypes?: ChatMessageRatingType[], - userId?: string + feedbackTypes?: ChatMessageRatingType[] ): Promise => { try { - const dbResponse = await utilGetChatMessage( + const dbResponse = await utilGetChatMessage({ user, - chatflowId, - chatTypeFilter, + chatflowid: chatflowId, + chatTypes, sortOrder, chatId, memoryType, @@ -94,9 +92,8 @@ const getAllInternalChatMessages = async ( endDate, messageId, feedback, - feedbackTypes, - userId - ) + feedbackTypes + }) return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -137,19 +134,47 @@ const removeAllChatMessages = async ( } } -const abortChatMessage = async (chatId: string, chatflowid: string) => { +const removeChatMessagesByMessageIds = async ( + chatflowid: string, + chatIdMap: Map, + messageIds: string[] +): Promise => { try { const appServer = getRunningExpressApp() - const endingNodeData = appServer.chatflowPool.activeChatflows[`${chatflowid}_${chatId}`]?.endingNodeData as any + for (const [composite_key] of chatIdMap) { + const [chatId] = composite_key.split('_') - if (endingNodeData && endingNodeData.signal) { - try { - endingNodeData.signal.abort() - await appServer.chatflowPool.remove(`${chatflowid}_${chatId}`) - } catch (e) { - logger.error(`[server]: Error aborting chat message for ${chatflowid}, chatId ${chatId}: ${e}`) - } + // Remove all related feedback records + const feedbackDeleteOptions: FindOptionsWhere = { chatId } + await appServer.AppDataSource.getRepository(ChatMessageFeedback).delete(feedbackDeleteOptions) + + // Delete all uploads corresponding to this chatflow/chatId + await removeFilesFromStorage(chatflowid, chatId) + } + + const dbResponse = await appServer.AppDataSource.getRepository(ChatMessage).delete(messageIds) + return dbResponse + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: chatMessagesService.removeAllChatMessages - ${getErrorMessage(error)}` + ) + } +} + +const abortChatMessage = async (chatId: string, chatflowid: string) => { + try { + const appServer = getRunningExpressApp() + const id = `${chatflowid}_${chatId}` + + if (process.env.MODE === MODE.QUEUE) { + await appServer.queueManager.getPredictionQueueEventsProducer().publishEvent({ + eventName: 'abort', + id + }) + } else { + appServer.abortControllerPool.abort(id) } } catch (error) { throw new InternalFlowiseError( @@ -164,5 +189,6 @@ export default { getAllChatMessages, getAllInternalChatMessages, removeAllChatMessages, + removeChatMessagesByMessageIds, abortChatMessage } diff --git a/packages/server/src/services/chatflows/index.ts b/packages/server/src/services/chatflows/index.ts index defc98089fb..3bce8826a91 100644 --- a/packages/server/src/services/chatflows/index.ts +++ b/packages/server/src/services/chatflows/index.ts @@ -1,6 +1,6 @@ -import { removeFolderFromStorage } from 'flowise-components' +import { ICommonObject, removeFolderFromStorage } from 'flowise-components' import { StatusCodes } from 'http-status-codes' -import { ChatflowType, IChatFlow, IReactFlowObject, IUser } from '../../Interface' +import { ChatflowType, IReactFlowObject, IUser } from '../../Interface' import { ChatFlow, ChatflowVisibility } from '../../database/entities/ChatFlow' import { ChatMessage } from '../../database/entities/ChatMessage' import { ChatMessageFeedback } from '../../database/entities/ChatMessageFeedback' @@ -16,6 +16,8 @@ import logger from '../../utils/logger' import checkOwnership from '../../utils/checkOwnership' import { Organization } from '../../database/entities/Organization' import { Chat } from '../../database/entities/Chat' +import { FLOWISE_METRIC_COUNTERS, FLOWISE_COUNTER_STATUS } from '../../Interface.Metrics' +import { QueryRunner } from 'typeorm' // Check if chatflow valid for streaming const checkIfChatflowIsValidForStreaming = async (chatflowId: string): Promise => { @@ -30,6 +32,15 @@ const checkIfChatflowIsValidForStreaming = async (chatflowId: string): Promise => { +const getAllChatflows = async (type?: ChatflowType, filter?: ChatflowsFilter, user?: IUser): Promise => { try { const appServer = getRunningExpressApp() const { id: userId, organizationId, permissions } = user ?? {} @@ -177,9 +188,12 @@ const getAllChatflows = async (type?: ChatflowType, filter?: ChatflowsFilter, us throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) } if (type === 'MULTIAGENT') { - return dbResponse.filter((chatflow) => chatflow.type === type) + return dbResponse.filter((chatflow) => chatflow.type === 'MULTIAGENT') + } else if (type === 'CHATFLOW') { + // fetch all chatflows that are not agentflow + return dbResponse.filter((chatflow) => chatflow.type === 'CHATFLOW' || !chatflow.type) } - return dbResponse.filter((chatflow) => chatflow.type === 'CHATFLOW' || !chatflow.type) + return dbResponse } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -319,6 +333,11 @@ const saveChatflow = async (newChatFlow: ChatFlow): Promise => { chatflowId: dbResponse.id, flowGraph: getTelemetryFlowObj(JSON.parse(dbResponse.flowData)?.nodes, JSON.parse(dbResponse.flowData)?.edges) }) + appServer.metricsProvider?.incrementCounter( + dbResponse?.type === 'MULTIAGENT' ? FLOWISE_METRIC_COUNTERS.AGENTFLOW_CREATED : FLOWISE_METRIC_COUNTERS.CHATFLOW_CREATED, + { status: FLOWISE_COUNTER_STATUS.SUCCESS } + ) + return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -328,12 +347,13 @@ const saveChatflow = async (newChatFlow: ChatFlow): Promise => { } } -const importChatflows = async (newChatflows: Partial[]): Promise => { +const importChatflows = async (newChatflows: Partial[], queryRunner?: QueryRunner): Promise => { try { const appServer = getRunningExpressApp() + const repository = queryRunner ? queryRunner.manager.getRepository(ChatFlow) : appServer.AppDataSource.getRepository(ChatFlow) // step 1 - check whether file chatflows array is zero - if (newChatflows.length == 0) throw new Error('No chatflows in this file.') + if (newChatflows.length == 0) return // step 2 - check whether ids are duplicate in database let ids = '(' @@ -346,11 +366,7 @@ const importChatflows = async (newChatflows: Partial[]): Promise count += 1 }) - const selectResponse = await appServer.AppDataSource.getRepository(ChatFlow) - .createQueryBuilder('cf') - .select('cf.id') - .where(`cf.id IN ${ids}`) - .getMany() + const selectResponse = await repository.createQueryBuilder('cf').select('cf.id').where(`cf.id IN ${ids}`).getMany() const foundIds = selectResponse.map((response) => { return response.id }) @@ -363,15 +379,14 @@ const importChatflows = async (newChatflows: Partial[]): Promise if (newChatflow.flowData) flowData = newChatflow.flowData if (foundIds.includes(id)) { newChatflow.id = undefined - newChatflow.name += ' with new id' + newChatflow.name += ' (1)' } - newChatflow.type = 'CHATFLOW' newChatflow.flowData = JSON.stringify(JSON.parse(flowData)) return newChatflow }) // step 4 - transactional insert array of entities - const insertResponse = await appServer.AppDataSource.getRepository(ChatFlow).insert(prepChatflows) + const insertResponse = await repository.insert(prepChatflows) return insertResponse } catch (error) { @@ -414,10 +429,6 @@ const updateChatflow = async (chatflow: ChatFlow, updateChatFlow: ChatFlow): Pro const dbResponse = await appServer.AppDataSource.getRepository(ChatFlow).save(newDbChatflow) - if (appServer.chatflowPool) { - appServer.chatflowPool.updateInSync(chatflow.id, false) - } - return dbResponse } catch (error) { throw new InternalFlowiseError( @@ -520,6 +531,7 @@ const upsertChat = async ({ const chatRepository = appServer.AppDataSource.getRepository(Chat) const chatProperties = { + id: chatflowChatId, title: prompt, chatflowChatId, filters, @@ -528,20 +540,21 @@ const upsertChat = async ({ chatflow: { id: chatflowId } } - let chat: Chat - if (!id) { + let chat: Chat | undefined + if (chatflowChatId) { + const existingChat = await chatRepository.findOneBy({ chatflowChatId }) + if (existingChat) chat = chatRepository.merge(existingChat, chatProperties) + } + if (!chat) { // Create new chat chat = chatRepository.create(chatProperties) + } + if (chat) { + const updatedChat = await chatRepository.save(chat) + return updatedChat } else { - // Update existing chat - const existingChat = await chatRepository.findOneBy({ id }) - if (!existingChat) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chat ${id} not found`) - } - chat = chatRepository.merge(existingChat, chatProperties) + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chat ${id} not found`) } - - return await chatRepository.save(chat) } catch (error) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error: chatflowsService.upsertChat - ${getErrorMessage(error)}`) } diff --git a/packages/server/src/services/chats/index.ts b/packages/server/src/services/chats/index.ts index 77f93b9ab51..9a826c947ae 100644 --- a/packages/server/src/services/chats/index.ts +++ b/packages/server/src/services/chats/index.ts @@ -35,6 +35,7 @@ const getChatById = async (chatId: string, user: IUser) => { organization: { id: user.organizationId } }, relations: { + chatflow: true // users: true, // messages: true }, diff --git a/packages/server/src/services/documentstore/index.ts b/packages/server/src/services/documentstore/index.ts index 56752bf0ded..6564c87bc49 100644 --- a/packages/server/src/services/documentstore/index.ts +++ b/packages/server/src/services/documentstore/index.ts @@ -1,22 +1,39 @@ import { getRunningExpressApp } from '../../utils/getRunningExpressApp' import { DocumentStore } from '../../database/entities/DocumentStore' +import * as path from 'path' import { + addArrayFilesToStorage, addSingleFileToStorage, getFileFromStorage, + getFileFromUpload, ICommonObject, IDocument, + mapExtToInputField, + mapMimeTypeToInputField, removeFilesFromStorage, - removeSpecificFileFromStorage + removeSpecificFileFromStorage, + removeSpecificFileFromUpload } from 'flowise-components' import { - chatType, + addLoaderSource, + ChatType, DocumentStoreStatus, + IComponentNodes, IDocumentStoreFileChunkPagedResponse, IDocumentStoreLoader, IDocumentStoreLoaderFile, IDocumentStoreLoaderForPreview, + IDocumentStoreRefreshData, + IDocumentStoreUpsertData, IDocumentStoreWhereUsed, - INodeData + IExecuteDocStoreUpsert, + IExecuteProcessLoader, + IExecuteVectorStoreInsert, + INodeData, + MODE, + IOverrideConfig, + IExecutePreviewLoader, + DocumentStoreDTO } from '../../Interface' import { DocumentStoreFileChunk } from '../../database/entities/DocumentStoreFileChunk' import { v4 as uuidv4 } from 'uuid' @@ -28,10 +45,12 @@ import { StatusCodes } from 'http-status-codes' import { getErrorMessage } from '../../errors/utils' import { ChatFlow } from '../../database/entities/ChatFlow' import { Document } from '@langchain/core/documents' -import { App } from '../../index' import { UpsertHistory } from '../../database/entities/UpsertHistory' import { cloneDeep, omit } from 'lodash' -import telemetryService from '../telemetry' +import { DOCUMENTSTORE_TOOL_DESCRIPTION_PROMPT_GENERATOR } from '../../utils/prompt' +import { DataSource } from 'typeorm' +import { Telemetry } from '../../utils/telemetry' +import { INPUT_PARAMS_TYPE, OMIT_QUEUE_JOB_DATA } from '../../utils/constants' const DOCUMENT_STORE_BASE_FOLDER = 'docustore' @@ -64,6 +83,19 @@ const getAllDocumentStores = async (userId: string, organizationId: string) => { } } +const getAllDocumentFileChunks = async (userId: string, organizationId: string) => { + try { + const appServer = getRunningExpressApp() + const entities = await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).find({ where: { userId, organizationId } }) + return entities + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.getAllDocumentFileChunks - ${getErrorMessage(error)}` + ) + } +} + const deleteLoaderFromDocumentStore = async (storeId: string, loaderId: string, userId: string, organizationId: string) => { try { const appServer = getRunningExpressApp() @@ -79,12 +111,16 @@ const deleteLoaderFromDocumentStore = async (storeId: string, loaderId: string, ) } const existingLoaders = JSON.parse(entity.loaders) - const found = existingLoaders.find((uFile: IDocumentStoreLoader) => uFile.id === loaderId) + const found = existingLoaders.find((loader: IDocumentStoreLoader) => loader.id === loaderId) if (found) { if (found.files?.length) { for (const file of found.files) { if (file.name) { - await removeSpecificFileFromStorage(DOCUMENT_STORE_BASE_FOLDER, storeId, file.name) + try { + await removeSpecificFileFromStorage(DOCUMENT_STORE_BASE_FOLDER, storeId, file.name) + } catch (error) { + console.error(error) + } } } } @@ -146,7 +182,9 @@ const getUsedChatflowNames = async (entity: DocumentStore, userId: string, organ if (associatedChatflow) { updatedWhereUsed.push({ id: whereUsed[i], - name: associatedChatflow.name + name: associatedChatflow.name, + userId, + organizationId }) } } @@ -163,15 +201,15 @@ const getUsedChatflowNames = async (entity: DocumentStore, userId: string, organ // Get chunks for a specific loader or store const getDocumentStoreFileChunks = async ( + appDataSource: DataSource, storeId: string, - fileId: string, + docId: string, pageNo: number = 1, userId?: string, organizationId?: string ) => { try { - const appServer = getRunningExpressApp() - const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ + const entity = await appDataSource.getRepository(DocumentStore).findOneBy({ id: storeId, userId, organizationId @@ -185,35 +223,40 @@ const getDocumentStoreFileChunks = async ( const loaders = JSON.parse(entity.loaders) let found: IDocumentStoreLoader | undefined - if (fileId !== 'all') { - found = loaders.find((loader: IDocumentStoreLoader) => loader.id === fileId) + if (docId !== 'all') { + found = loaders.find((loader: IDocumentStoreLoader) => loader.id === docId) if (!found) { throw new InternalFlowiseError( StatusCodes.NOT_FOUND, - `Error: documentStoreServices.getDocumentStoreById - Document file ${fileId} not found` + `Error: documentStoreServices.getDocumentStoreById - Document loader ${docId} not found` ) } } - let totalChars = 0 - loaders.forEach((loader: IDocumentStoreLoader) => { - totalChars += loader.totalChars - }) if (found) { - found.totalChars = totalChars - found.id = fileId + found.id = docId found.status = entity.status } + + let characters = 0 + if (docId === 'all') { + loaders.forEach((loader: IDocumentStoreLoader) => { + characters += loader.totalChars || 0 + }) + } else { + characters = found?.totalChars || 0 + } + const PAGE_SIZE = 50 const skip = (pageNo - 1) * PAGE_SIZE const take = PAGE_SIZE - let whereCondition: any = { docId: fileId, userId, organizationId } - if (fileId === 'all') { + let whereCondition: any = { docId: docId, userId, organizationId } + if (docId === 'all') { whereCondition = { storeId: storeId, userId, organizationId } } - const count = await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).count({ + const count = await appDataSource.getRepository(DocumentStoreFileChunk).count({ where: whereCondition }) - const chunksWithCount = await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).find({ + const chunksWithCount = await appDataSource.getRepository(DocumentStoreFileChunk).find({ skip, take, where: whereCondition, @@ -223,7 +266,7 @@ const getDocumentStoreFileChunks = async ( }) if (!chunksWithCount) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `File ${fileId} not found`) + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chunks with docId: ${docId} not found`) } const response: IDocumentStoreFileChunkPagedResponse = { @@ -232,7 +275,9 @@ const getDocumentStoreFileChunks = async ( file: found, currentPage: pageNo, storeName: entity.name, - description: entity.description + description: entity.description, + docId: docId, + characters } return response } catch (error) { @@ -247,6 +292,7 @@ const getDocumentStoreFileChunks = async ( const syncAndRefreshChunks = async (storeId: string, fileId: string, userId?: string, organizationId?: string) => { try { const appServer = getRunningExpressApp() + const componentNodes = appServer.nodesPool.componentNodes const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ id: storeId, userId, @@ -291,7 +337,7 @@ const syncAndRefreshChunks = async (storeId: string, fileId: string, userId?: st }) // Get fresh documents from Google Drive - const docs = await _splitIntoChunks(data) + const docs = await _splitIntoChunks(appServer.AppDataSource, componentNodes, data) // Save new chunks let totalChars = 0 @@ -325,7 +371,7 @@ const syncAndRefreshChunks = async (storeId: string, fileId: string, userId?: st await appServer.AppDataSource.getRepository(DocumentStore).save(entity) - return getDocumentStoreFileChunks(storeId, fileId, 1, userId, organizationId) + return getDocumentStoreFileChunks(appServer.AppDataSource, storeId, fileId, 1, userId, organizationId) } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -405,7 +451,7 @@ const deleteDocumentStoreFileChunk = async (storeId: string, docId: string, chun found.totalChars -= tbdChunk.pageContent.length entity.loaders = JSON.stringify(loaders) await appServer.AppDataSource.getRepository(DocumentStore).save(entity) - return getDocumentStoreFileChunks(storeId, docId, 1, userId, organizationId) + return getDocumentStoreFileChunks(appServer.AppDataSource, storeId, docId, 1, userId, organizationId) } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -417,6 +463,8 @@ const deleteDocumentStoreFileChunk = async (storeId: string, docId: string, chun const deleteVectorStoreFromStore = async (storeId: string) => { try { const appServer = getRunningExpressApp() + const componentNodes = appServer.nodesPool.componentNodes + const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ id: storeId }) @@ -449,7 +497,7 @@ const deleteVectorStoreFromStore = async (storeId: string) => { // Get Record Manager Instance const recordManagerConfig = JSON.parse(entity.recordManagerConfig) const recordManagerObj = await _createRecordManagerObject( - appServer, + componentNodes, { recordManagerName: recordManagerConfig.name, recordManagerConfig: recordManagerConfig.config }, options ) @@ -457,7 +505,7 @@ const deleteVectorStoreFromStore = async (storeId: string) => { // Get Embeddings Instance const embeddingConfig = JSON.parse(entity.embeddingConfig) const embeddingObj = await _createEmbeddingsObject( - appServer, + componentNodes, { embeddingName: embeddingConfig.name, embeddingConfig: embeddingConfig.config }, options ) @@ -465,7 +513,7 @@ const deleteVectorStoreFromStore = async (storeId: string) => { // Get Vector Store Node Data const vectorStoreConfig = JSON.parse(entity.vectorStoreConfig) const vStoreNodeData = _createVectorStoreNodeData( - appServer, + componentNodes, { vectorStoreName: vectorStoreConfig.name, vectorStoreConfig: vectorStoreConfig.config }, embeddingObj, recordManagerObj @@ -473,7 +521,7 @@ const deleteVectorStoreFromStore = async (storeId: string) => { // Get Vector Store Instance const vectorStoreObj = await _createVectorStoreObject( - appServer, + componentNodes, { vectorStoreName: vectorStoreConfig.name, vectorStoreConfig: vectorStoreConfig.config }, vStoreNodeData ) @@ -531,7 +579,7 @@ const editDocumentStoreFileChunk = async ( await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).save(editChunk) entity.loaders = JSON.stringify(loaders) await appServer.AppDataSource.getRepository(DocumentStore).save(entity) - return getDocumentStoreFileChunks(storeId, docId, 1, userId, organizationId) + return getDocumentStoreFileChunks(appServer.AppDataSource, storeId, docId, 1, userId, organizationId) } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -540,7 +588,6 @@ const editDocumentStoreFileChunk = async ( } } -// Update documentStore const updateDocumentStore = async (documentStore: DocumentStore, updatedDocumentStore: DocumentStore) => { try { const appServer = getRunningExpressApp() @@ -575,12 +622,11 @@ const _saveFileToStorage = async (fileBase64: string, entity: DocumentStore) => } } -const _splitIntoChunks = async (data: IDocumentStoreLoaderForPreview) => { +const _splitIntoChunks = async (appDataSource: DataSource, componentNodes: IComponentNodes, data: IDocumentStoreLoaderForPreview) => { try { - const appServer = getRunningExpressApp() let splitterInstance = null - if (data.splitterConfig && Object.keys(data.splitterConfig).length > 0) { - const nodeInstanceFilePath = appServer.nodesPool.componentNodes[data.splitterId].filePath as string + if (data.splitterId && data.splitterConfig && Object.keys(data.splitterConfig).length > 0) { + const nodeInstanceFilePath = componentNodes[data.splitterId].filePath as string const nodeModule = await import(nodeInstanceFilePath) const newNodeInstance = new nodeModule.nodeClass() let nodeData = { @@ -589,14 +635,12 @@ const _splitIntoChunks = async (data: IDocumentStoreLoaderForPreview) => { } splitterInstance = await newNodeInstance.init(nodeData) } - const nodeInstanceFilePath = appServer.nodesPool.componentNodes[data.loaderId].filePath as string + if (!data.loaderId) return [] + const nodeInstanceFilePath = componentNodes[data.loaderId].filePath as string const nodeModule = await import(nodeInstanceFilePath) const nodeData = { - credential: data.credential || undefined, - inputs: { - ...data.loaderConfig, - textSplitter: splitterInstance - }, + credential: data.credential || data.loaderConfig['FLOWISE_CREDENTIAL_ID'] || undefined, + inputs: { ...data.loaderConfig, textSplitter: splitterInstance }, outputs: { output: 'document' } } if (data.loaderId === 'googleDrive') { @@ -605,7 +649,7 @@ const _splitIntoChunks = async (data: IDocumentStoreLoaderForPreview) => { } const options: ICommonObject = { chatflowid: uuidv4(), - appDataSource: appServer.AppDataSource, + appDataSource, databaseEntities, logger } @@ -620,7 +664,7 @@ const _splitIntoChunks = async (data: IDocumentStoreLoaderForPreview) => { } } -const _normalizeFilePaths = async (data: IDocumentStoreLoaderForPreview, entity: DocumentStore | null) => { +const _normalizeFilePaths = async (appDataSource: DataSource, data: IDocumentStoreLoaderForPreview, entity: DocumentStore | null) => { const keys = Object.getOwnPropertyNames(data.loaderConfig) let rehydrated = false for (let i = 0; i < keys.length; i++) { @@ -634,8 +678,7 @@ const _normalizeFilePaths = async (data: IDocumentStoreLoaderForPreview, entity: let documentStoreEntity: DocumentStore | null = entity if (input.startsWith('FILE-STORAGE::')) { if (!documentStoreEntity) { - const appServer = getRunningExpressApp() - documentStoreEntity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ + documentStoreEntity = await appDataSource.getRepository(DocumentStore).findOneBy({ id: data.storeId }) if (!documentStoreEntity) { @@ -669,7 +712,45 @@ const _normalizeFilePaths = async (data: IDocumentStoreLoaderForPreview, entity: data.rehydrated = rehydrated } -const previewChunks = async (data: IDocumentStoreLoaderForPreview) => { +const previewChunksMiddleware = async (data: IDocumentStoreLoaderForPreview) => { + try { + const appServer = getRunningExpressApp() + const appDataSource = appServer.AppDataSource + const componentNodes = appServer.nodesPool.componentNodes + + const executeData: IExecutePreviewLoader = { + appDataSource, + componentNodes, + data, + isPreviewOnly: true, + userId: data.userId, + organizationId: data.organizationId + } + + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) + + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + + if (!result) { + throw new Error('Job execution failed') + } + return result + } + + return await previewChunks(executeData) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.previewChunksMiddleware - ${getErrorMessage(error)}` + ) + } +} + +export const previewChunks = async ({ appDataSource, componentNodes, data }: IExecutePreviewLoader) => { try { if (data.preview) { if ( @@ -681,16 +762,16 @@ const previewChunks = async (data: IDocumentStoreLoaderForPreview) => { } } if (!data.rehydrated) { - await _normalizeFilePaths(data, null) + await _normalizeFilePaths(appDataSource, data, null) } - let docs = await _splitIntoChunks(data) + let docs = await _splitIntoChunks(appDataSource, componentNodes, data) const totalChunks = docs.length // if -1, return all chunks if (data.previewChunkCount === -1) data.previewChunkCount = totalChunks // return all docs if the user ask for more than we have - if (totalChunks <= data.previewChunkCount) data.previewChunkCount = totalChunks + if (totalChunks <= (data.previewChunkCount || 0)) data.previewChunkCount = totalChunks // return only the first n chunks - if (totalChunks > data.previewChunkCount) docs = docs.slice(0, data.previewChunkCount) + if (totalChunks > (data.previewChunkCount || 0)) docs = docs.slice(0, data.previewChunkCount) return { chunks: docs, totalChunks: totalChunks, previewChunkCount: data.previewChunkCount } } catch (error) { @@ -701,33 +782,56 @@ const previewChunks = async (data: IDocumentStoreLoaderForPreview) => { } } -const processAndSaveChunks = async (data: IDocumentStoreLoaderForPreview, userId: string, organizationId: string) => { +const saveProcessingLoader = async (appDataSource: DataSource, data: IDocumentStoreLoaderForPreview): Promise => { try { - const appServer = getRunningExpressApp() - const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ + const entity = await appDataSource.getRepository(DocumentStore).findOneBy({ id: data.storeId, - userId, - organizationId + userId: data.userId, + organizationId: data.organizationId }) if (!entity) { throw new InternalFlowiseError( StatusCodes.NOT_FOUND, - `Error: documentStoreServices.processAndSaveChunks - Document store ${data.storeId} not found` + `Error: documentStoreServices.saveProcessingLoader - Document store ${data.storeId} not found` ) } - - const newLoaderId = data.id ?? uuidv4() const existingLoaders = JSON.parse(entity.loaders) - const found = existingLoaders.find((ldr: IDocumentStoreLoader) => ldr.id === newLoaderId) + const newDocLoaderId = data.id ?? uuidv4() + const found = existingLoaders.find((ldr: IDocumentStoreLoader) => ldr.id === newDocLoaderId) if (found) { - // clean up the current status and mark the loader as pending_sync - found.totalChunks = 0 - found.totalChars = 0 - found.status = DocumentStoreStatus.SYNCING + const foundIndex = existingLoaders.findIndex((ldr: IDocumentStoreLoader) => ldr.id === newDocLoaderId) + + if (!data.loaderId) data.loaderId = found.loaderId + if (!data.loaderName) data.loaderName = found.loaderName + if (!data.loaderConfig) data.loaderConfig = found.loaderConfig + if (!data.splitterId) data.splitterId = found.splitterId + if (!data.splitterName) data.splitterName = found.splitterName + if (!data.splitterConfig) data.splitterConfig = found.splitterConfig + if (found.credential) { + data.credential = found.credential + } + + let loader: IDocumentStoreLoader = { + ...found, + loaderId: data.loaderId, + loaderName: data.loaderName, + loaderConfig: data.loaderConfig, + splitterId: data.splitterId, + splitterName: data.splitterName, + splitterConfig: data.splitterConfig, + totalChunks: 0, + totalChars: 0, + status: DocumentStoreStatus.SYNCING + } + if (data.credential) { + loader.credential = data.credential + } + + existingLoaders[foundIndex] = loader entity.loaders = JSON.stringify(existingLoaders) } else { let loader: IDocumentStoreLoader = { - id: newLoaderId, + id: newDocLoaderId, loaderId: data.loaderId, loaderName: data.loaderName, loaderConfig: data.loaderConfig, @@ -744,127 +848,201 @@ const processAndSaveChunks = async (data: IDocumentStoreLoaderForPreview, userId existingLoaders.push(loader) entity.loaders = JSON.stringify(existingLoaders) } - await appServer.AppDataSource.getRepository(DocumentStore).save(entity) - // this method will run async, will have to be moved to a worker thread - _saveChunksToStorage(data, entity, newLoaderId, userId, organizationId).then(() => {}) - return getDocumentStoreFileChunks(data.storeId as string, newLoaderId, 1, userId, organizationId) + await appDataSource.getRepository(DocumentStore).save(entity) + const newLoaders = JSON.parse(entity.loaders) + const newLoader = newLoaders.find((ldr: IDocumentStoreLoader) => ldr.id === newDocLoaderId) + if (!newLoader) { + throw new Error(`Loader ${newDocLoaderId} not found`) + } + newLoader.source = addLoaderSource(newLoader, true) + return newLoader + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.saveProcessingLoader - ${getErrorMessage(error)}` + ) + } +} + +export const processLoader = async ({ appDataSource, componentNodes, data, docLoaderId }: IExecuteProcessLoader) => { + const entity = await appDataSource.getRepository(DocumentStore).findOneBy({ + id: data.storeId + }) + if (!entity) { + throw new InternalFlowiseError( + StatusCodes.NOT_FOUND, + `Error: documentStoreServices.processLoader - Document store ${data.storeId} not found` + ) + } + await _saveChunksToStorage(appDataSource, componentNodes, data, entity, docLoaderId) + return getDocumentStoreFileChunks(appDataSource, data.storeId as string, docLoaderId) +} + +const processLoaderMiddleware = async (data: IDocumentStoreLoaderForPreview, docLoaderId: string) => { + try { + const appServer = getRunningExpressApp() + const appDataSource = appServer.AppDataSource + const componentNodes = appServer.nodesPool.componentNodes + const telemetry = appServer.telemetry + + const executeData: IExecuteProcessLoader = { + appDataSource, + componentNodes, + data, + docLoaderId, + isProcessWithoutUpsert: true, + telemetry, + userId: data.userId, + organizationId: data.organizationId + } + + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) + + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + + if (!result) { + throw new Error('Job execution failed') + } + return result + } + + return await processLoader(executeData) } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, - `Error: documentStoreServices.processAndSaveChunks - ${getErrorMessage(error)}` + `Error: documentStoreServices.processLoader - ${getErrorMessage(error)}` ) } } const _saveChunksToStorage = async ( + appDataSource: DataSource, + componentNodes: IComponentNodes, data: IDocumentStoreLoaderForPreview, entity: DocumentStore, - newLoaderId: string, - userId?: string, - organizationId?: string + newLoaderId: string ) => { const re = new RegExp('^data.*;base64', 'i') try { - const appServer = getRunningExpressApp() //step 1: restore the full paths, if any - await _normalizeFilePaths(data, entity) + await _normalizeFilePaths(appDataSource, data, entity) + //step 2: split the file into chunks - previewChunks(data).then(async (response) => { - //step 3: remove all files associated with the loader - const existingLoaders = JSON.parse(entity.loaders) - const loader = existingLoaders.find((ldr: IDocumentStoreLoader) => ldr.id === newLoaderId) - if (data.id) { - const index = existingLoaders.indexOf(loader) - if (index > -1) { - existingLoaders.splice(index, 1) - if (!data.rehydrated) { - if (loader.files) { - loader.files.map(async (file: IDocumentStoreLoaderFile) => { + const response = await previewChunks({ + appDataSource, + componentNodes, + data, + isPreviewOnly: false, + userId: data.userId, + organizationId: data.organizationId + }) + + //step 3: remove all files associated with the loader + const existingLoaders = JSON.parse(entity.loaders) + const loader = existingLoaders.find((ldr: IDocumentStoreLoader) => ldr.id === newLoaderId) + if (data.id) { + const index = existingLoaders.indexOf(loader) + if (index > -1) { + existingLoaders.splice(index, 1) + if (!data.rehydrated) { + if (loader.files) { + loader.files.map(async (file: IDocumentStoreLoaderFile) => { + try { await removeSpecificFileFromStorage(DOCUMENT_STORE_BASE_FOLDER, entity.id, file.name) - }) - } - } - } - } - //step 4: save new file to storage - let filesWithMetadata = [] - const keys = Object.getOwnPropertyNames(data.loaderConfig) - for (let i = 0; i < keys.length; i++) { - const input = data.loaderConfig[keys[i]] - if (!input) { - continue - } - if (typeof input !== 'string') { - continue - } - if (input.startsWith('[') && input.endsWith(']')) { - const files = JSON.parse(input) - const fileNames: string[] = [] - for (let j = 0; j < files.length; j++) { - const file = files[j] - if (re.test(file)) { - const fileMetadata = await _saveFileToStorage(file, entity) - fileNames.push(fileMetadata.name) - filesWithMetadata.push(fileMetadata) - } + } catch (error) { + console.error(error) + } + }) } - data.loaderConfig[keys[i]] = 'FILE-STORAGE::' + JSON.stringify(fileNames) - } else if (re.test(input)) { - const fileNames: string[] = [] - const fileMetadata = await _saveFileToStorage(input, entity) - fileNames.push(fileMetadata.name) - filesWithMetadata.push(fileMetadata) - data.loaderConfig[keys[i]] = 'FILE-STORAGE::' + JSON.stringify(fileNames) - break } } - //step 5: update with the new files and loaderConfig - if (filesWithMetadata.length > 0) { - loader.loaderConfig = data.loaderConfig - loader.files = filesWithMetadata + } + + //step 4: save new file to storage + let filesWithMetadata = [] + const keys = Object.getOwnPropertyNames(data.loaderConfig) + for (let i = 0; i < keys.length; i++) { + const input = data.loaderConfig[keys[i]] + if (!input) { + continue } - //step 6: update the loaders with the new loaderConfig - if (data.id) { - existingLoaders.push(loader) + if (typeof input !== 'string') { + continue } - //step 7: remove all previous chunks - await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).delete({ docId: newLoaderId, userId, organizationId }) - if (response.chunks) { - //step 8: now save the new chunks - const totalChars = response.chunks.reduce((acc, chunk) => { - if (chunk.pageContent) { - return acc + chunk.pageContent.length - } - return acc - }, 0) - response.chunks.map(async (chunk: IDocument, index: number) => { - const docChunk: DocumentStoreFileChunk = { - userId, - organizationId, - docId: newLoaderId, - storeId: data.storeId || '', - id: uuidv4(), - chunkNo: index + 1, - pageContent: chunk.pageContent, - metadata: JSON.stringify(chunk.metadata) + if (input.startsWith('[') && input.endsWith(']')) { + const files = JSON.parse(input) + const fileNames: string[] = [] + for (let j = 0; j < files.length; j++) { + const file = files[j] + if (re.test(file)) { + const fileMetadata = await _saveFileToStorage(file, entity) + fileNames.push(fileMetadata.name) + filesWithMetadata.push(fileMetadata) } - const dChunk = appServer.AppDataSource.getRepository(DocumentStoreFileChunk).create(docChunk) - await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).save(dChunk) - }) - // update the loader with the new metrics - loader.totalChunks = response.totalChunks - loader.totalChars = totalChars + } + if (fileNames.length) data.loaderConfig[keys[i]] = 'FILE-STORAGE::' + JSON.stringify(fileNames) + } else if (re.test(input)) { + const fileNames: string[] = [] + const fileMetadata = await _saveFileToStorage(input, entity) + fileNames.push(fileMetadata.name) + filesWithMetadata.push(fileMetadata) + data.loaderConfig[keys[i]] = 'FILE-STORAGE::' + JSON.stringify(fileNames) + break } - loader.status = 'SYNC' - // have a flag and iterate over the loaders and update the entity status to SYNC - const allSynced = existingLoaders.every((ldr: IDocumentStoreLoader) => ldr.status === 'SYNC') - entity.status = allSynced ? DocumentStoreStatus.SYNC : DocumentStoreStatus.STALE - entity.loaders = JSON.stringify(existingLoaders) - //step 9: update the entity in the database - await appServer.AppDataSource.getRepository(DocumentStore).save(entity) - return - }) + } + + //step 5: update with the new files and loaderConfig + if (filesWithMetadata.length > 0) { + loader.loaderConfig = data.loaderConfig + loader.files = filesWithMetadata + } + + //step 6: update the loaders with the new loaderConfig + if (data.id) { + existingLoaders.push(loader) + } + + //step 7: remove all previous chunks + await appDataSource.getRepository(DocumentStoreFileChunk).delete({ docId: newLoaderId }) + if (response.chunks) { + //step 8: now save the new chunks + const totalChars = response.chunks.reduce((acc, chunk) => { + if (chunk.pageContent) { + return acc + chunk.pageContent.length + } + return acc + }, 0) + response.chunks.map(async (chunk: IDocument, index: number) => { + const docChunk: DocumentStoreFileChunk = { + docId: newLoaderId, + storeId: data.storeId || '', + id: uuidv4(), + chunkNo: index + 1, + pageContent: chunk.pageContent, + metadata: JSON.stringify(chunk.metadata) + } + const dChunk = appDataSource.getRepository(DocumentStoreFileChunk).create(docChunk) + await appDataSource.getRepository(DocumentStoreFileChunk).save(dChunk) + }) + // update the loader with the new metrics + loader.totalChunks = response.totalChunks + loader.totalChars = totalChars + } + loader.status = 'SYNC' + // have a flag and iterate over the loaders and update the entity status to SYNC + const allSynced = existingLoaders.every((ldr: IDocumentStoreLoader) => ldr.status === 'SYNC') + entity.status = allSynced ? DocumentStoreStatus.SYNC : DocumentStoreStatus.STALE + entity.loaders = JSON.stringify(existingLoaders) + + //step 9: update the entity in the database + await appDataSource.getRepository(DocumentStore).save(entity) + + return } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -961,10 +1139,9 @@ const updateVectorStoreConfigOnly = async (data: ICommonObject) => { ) } } -const saveVectorStoreConfig = async (data: ICommonObject) => { +const saveVectorStoreConfig = async (appDataSource: DataSource, data: ICommonObject, isStrictSave = true) => { try { - const appServer = getRunningExpressApp() - const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ + const entity = await appDataSource.getRepository(DocumentStore).findOneBy({ id: data.storeId }) if (!entity) { @@ -976,6 +1153,10 @@ const saveVectorStoreConfig = async (data: ICommonObject) => { config: data.embeddingConfig, name: data.embeddingName }) + } else if (entity.embeddingConfig && !data.embeddingName && !data.embeddingConfig) { + data.embeddingConfig = JSON.parse(entity.embeddingConfig)?.config + data.embeddingName = JSON.parse(entity.embeddingConfig)?.name + if (isStrictSave) entity.embeddingConfig = null } else if (!data.embeddingName && !data.embeddingConfig) { entity.embeddingConfig = null } @@ -985,6 +1166,10 @@ const saveVectorStoreConfig = async (data: ICommonObject) => { config: data.vectorStoreConfig, name: data.vectorStoreName }) + } else if (entity.vectorStoreConfig && !data.vectorStoreName && !data.vectorStoreConfig) { + data.vectorStoreConfig = JSON.parse(entity.vectorStoreConfig)?.config + data.vectorStoreName = JSON.parse(entity.vectorStoreConfig)?.name + if (isStrictSave) entity.vectorStoreConfig = null } else if (!data.vectorStoreName && !data.vectorStoreConfig) { entity.vectorStoreConfig = null } @@ -994,6 +1179,10 @@ const saveVectorStoreConfig = async (data: ICommonObject) => { config: data.recordManagerConfig, name: data.recordManagerName }) + } else if (entity.recordManagerConfig && !data.recordManagerName && !data.recordManagerConfig) { + data.recordManagerConfig = JSON.parse(entity.recordManagerConfig)?.config + data.recordManagerName = JSON.parse(entity.recordManagerConfig)?.name + if (isStrictSave) entity.recordManagerConfig = null } else if (!data.recordManagerName && !data.recordManagerConfig) { entity.recordManagerConfig = null } @@ -1003,7 +1192,7 @@ const saveVectorStoreConfig = async (data: ICommonObject) => { // this also means that the store is not yet sync'ed to vector store entity.status = DocumentStoreStatus.SYNC } - await appServer.AppDataSource.getRepository(DocumentStore).save(entity) + await appDataSource.getRepository(DocumentStore).save(entity) return entity } catch (error) { throw new InternalFlowiseError( @@ -1013,15 +1202,19 @@ const saveVectorStoreConfig = async (data: ICommonObject) => { } } -const insertIntoVectorStore = async (data: ICommonObject) => { +export const insertIntoVectorStore = async ({ + appDataSource, + componentNodes, + telemetry, + data, + isStrictSave +}: IExecuteVectorStoreInsert) => { try { - const appServer = getRunningExpressApp() - const entity = await saveVectorStoreConfig(data) + const entity = await saveVectorStoreConfig(appDataSource, data, isStrictSave) entity.status = DocumentStoreStatus.UPSERTING - await appServer.AppDataSource.getRepository(DocumentStore).save(entity) + await appDataSource.getRepository(DocumentStore).save(entity) - // TODO: to be moved into a worker thread... - const indexResult = await _insertIntoVectorStoreWorkerThread(data) + const indexResult = await _insertIntoVectorStoreWorkerThread(appDataSource, componentNodes, telemetry, data, isStrictSave) return indexResult } catch (error) { throw new InternalFlowiseError( @@ -1031,16 +1224,62 @@ const insertIntoVectorStore = async (data: ICommonObject) => { } } -const _insertIntoVectorStoreWorkerThread = async (data: ICommonObject) => { +const insertIntoVectorStoreMiddleware = async (data: ICommonObject, isStrictSave = true) => { try { const appServer = getRunningExpressApp() - const entity = await saveVectorStoreConfig(data) + const appDataSource = appServer.AppDataSource + const componentNodes = appServer.nodesPool.componentNodes + const telemetry = appServer.telemetry + + const executeData: IExecuteVectorStoreInsert = { + appDataSource, + componentNodes, + telemetry, + data, + isStrictSave, + isVectorStoreInsert: true, + userId: data.userId, + organizationId: data.organizationId + } + + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) + + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + + if (!result) { + throw new Error('Job execution failed') + } + return result + } else { + return await insertIntoVectorStore(executeData) + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.insertIntoVectorStoreMiddleware - ${getErrorMessage(error)}` + ) + } +} + +const _insertIntoVectorStoreWorkerThread = async ( + appDataSource: DataSource, + componentNodes: IComponentNodes, + telemetry: Telemetry, + data: ICommonObject, + isStrictSave = true +) => { + try { + const entity = await saveVectorStoreConfig(appDataSource, data, isStrictSave) let upsertHistory: Record = {} const chatflowid = data.storeId // fake chatflowid because this is not tied to any chatflow const options: ICommonObject = { chatflowid, - appDataSource: appServer.AppDataSource, + appDataSource, databaseEntities, logger } @@ -1049,19 +1288,24 @@ const _insertIntoVectorStoreWorkerThread = async (data: ICommonObject) => { // Get Record Manager Instance if (data.recordManagerName && data.recordManagerConfig) { - recordManagerObj = await _createRecordManagerObject(appServer, data, options, upsertHistory) + recordManagerObj = await _createRecordManagerObject(componentNodes, data, options, upsertHistory) } // Get Embeddings Instance - const embeddingObj = await _createEmbeddingsObject(appServer, data, options, upsertHistory) + const embeddingObj = await _createEmbeddingsObject(componentNodes, data, options, upsertHistory) // Get Vector Store Node Data - const vStoreNodeData = _createVectorStoreNodeData(appServer, data, embeddingObj, recordManagerObj) + const vStoreNodeData = _createVectorStoreNodeData(componentNodes, data, embeddingObj, recordManagerObj) + // Prepare docs for upserting - const chunks = await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).find({ - where: { - storeId: data.storeId - } + const filterOptions: ICommonObject = { + storeId: data.storeId + } + if (data.docId) { + filterOptions['docId'] = data.docId + } + const chunks = await appDataSource.getRepository(DocumentStoreFileChunk).find({ + where: filterOptions }) const docs: Document[] = chunks.map((chunk: DocumentStoreFileChunk) => { return new Document({ @@ -1072,7 +1316,7 @@ const _insertIntoVectorStoreWorkerThread = async (data: ICommonObject) => { vStoreNodeData.inputs.document = docs // Get Vector Store Instance - const vectorStoreObj = await _createVectorStoreObject(appServer, data, vStoreNodeData, upsertHistory) + const vectorStoreObj = await _createVectorStoreObject(componentNodes, data, vStoreNodeData, upsertHistory) const indexResult = await vectorStoreObj.vectorStoreMethods.upsert(vStoreNodeData, options) // Save to DB @@ -1083,22 +1327,19 @@ const _insertIntoVectorStoreWorkerThread = async (data: ICommonObject) => { result.chatflowid = chatflowid const newUpsertHistory = new UpsertHistory() Object.assign(newUpsertHistory, result) - const upsertHistoryItem = appServer.AppDataSource.getRepository(UpsertHistory).create(newUpsertHistory) - await appServer.AppDataSource.getRepository(UpsertHistory).save(upsertHistoryItem) + const upsertHistoryItem = appDataSource.getRepository(UpsertHistory).create(newUpsertHistory) + await appDataSource.getRepository(UpsertHistory).save(upsertHistoryItem) } - await telemetryService.createEvent({ - name: `vector_upserted`, - data: { - version: await getAppVersion(), - chatlowId: chatflowid, - type: chatType.INTERNAL, - flowGraph: omit(indexResult['result'], ['totalKeys', 'addedDocs']) - } + await telemetry.sendTelemetry('vector_upserted', { + version: await getAppVersion(), + chatlowId: chatflowid, + type: ChatType.INTERNAL, + flowGraph: omit(indexResult['result'], ['totalKeys', 'addedDocs']) }) entity.status = DocumentStoreStatus.UPSERTED - await appServer.AppDataSource.getRepository(DocumentStore).save(entity) + await appDataSource.getRepository(DocumentStore).save(entity) return indexResult ?? { result: 'Successfully Upserted' } } catch (error) { @@ -1126,7 +1367,9 @@ const getEmbeddingProviders = async () => { const getVectorStoreProviders = async () => { try { const dbResponse = await nodesService.getAllNodesForCategory('Vector Stores') - return dbResponse.filter((node) => !node.tags?.includes('LlamaIndex') && node.name !== 'documentStoreVS') + return dbResponse.filter( + (node) => !node.tags?.includes('LlamaIndex') && node.name !== 'documentStoreVS' && node.name !== 'memoryVectorStore' + ) } catch (error) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, @@ -1150,6 +1393,8 @@ const getRecordManagerProviders = async () => { const queryVectorStore = async (data: ICommonObject) => { try { const appServer = getRunningExpressApp() + const componentNodes = appServer.nodesPool.componentNodes + const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ id: data.storeId }) @@ -1174,7 +1419,7 @@ const queryVectorStore = async (data: ICommonObject) => { const embeddingConfig = JSON.parse(entity.embeddingConfig) data.embeddingName = embeddingConfig.name data.embeddingConfig = embeddingConfig.config - let embeddingObj = await _createEmbeddingsObject(appServer, data, options) + let embeddingObj = await _createEmbeddingsObject(componentNodes, data, options) const vsConfig = JSON.parse(entity.vectorStoreConfig) data.vectorStoreName = vsConfig.name @@ -1183,10 +1428,10 @@ const queryVectorStore = async (data: ICommonObject) => { data.vectorStoreConfig = { ...vsConfig.config, ...data.inputs } } - const vStoreNodeData = _createVectorStoreNodeData(appServer, data, embeddingObj, undefined) + const vStoreNodeData = _createVectorStoreNodeData(componentNodes, data, embeddingObj, undefined) // Get Vector Store Instance - const vectorStoreObj = await _createVectorStoreObject(appServer, data, vStoreNodeData) + const vectorStoreObj = await _createVectorStoreObject(componentNodes, data, vStoreNodeData) const retriever = await vectorStoreObj.init(vStoreNodeData, '', options) if (!retriever) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Failed to create retriever`) @@ -1235,13 +1480,13 @@ const queryVectorStore = async (data: ICommonObject) => { } const _createEmbeddingsObject = async ( - appServer: App, + componentNodes: IComponentNodes, data: ICommonObject, options: ICommonObject, upsertHistory?: Record ): Promise => { // prepare embedding node data - const embeddingComponent = appServer.nodesPool.componentNodes[data.embeddingName] + const embeddingComponent = componentNodes[data.embeddingName] const embeddingNodeData: any = { inputs: { ...data.embeddingConfig }, outputs: { output: 'document' }, @@ -1270,13 +1515,13 @@ const _createEmbeddingsObject = async ( } const _createRecordManagerObject = async ( - appServer: App, + componentNodes: IComponentNodes, data: ICommonObject, options: ICommonObject, upsertHistory?: Record ) => { // prepare record manager node data - const recordManagerComponent = appServer.nodesPool.componentNodes[data.recordManagerName] + const recordManagerComponent = componentNodes[data.recordManagerName] const rmNodeData: any = { inputs: { ...data.recordManagerConfig }, id: `${recordManagerComponent.name}_0`, @@ -1303,8 +1548,8 @@ const _createRecordManagerObject = async ( return recordManagerObj } -const _createVectorStoreNodeData = (appServer: App, data: ICommonObject, embeddingObj: any, recordManagerObj?: any) => { - const vectorStoreComponent = appServer.nodesPool.componentNodes[data.vectorStoreName] +const _createVectorStoreNodeData = (componentNodes: IComponentNodes, data: ICommonObject, embeddingObj: any, recordManagerObj?: any) => { + const vectorStoreComponent = componentNodes[data.vectorStoreName] const vStoreNodeData: any = { id: `${vectorStoreComponent.name}_0`, inputs: { ...data.vectorStoreConfig }, @@ -1333,40 +1578,633 @@ const _createVectorStoreNodeData = (appServer: App, data: ICommonObject, embeddi } const _createVectorStoreObject = async ( - appServer: App, + componentNodes: IComponentNodes, data: ICommonObject, vStoreNodeData: INodeData, upsertHistory?: Record ) => { - const vStoreNodeInstanceFilePath = appServer.nodesPool.componentNodes[data.vectorStoreName].filePath as string + const vStoreNodeInstanceFilePath = componentNodes[data.vectorStoreName].filePath as string const vStoreNodeModule = await import(vStoreNodeInstanceFilePath) const vStoreNodeInstance = new vStoreNodeModule.nodeClass() if (upsertHistory) upsertHistory['flowData'] = saveUpsertFlowData(vStoreNodeData, upsertHistory) return vStoreNodeInstance } +const upsertDocStore = async ( + appDataSource: DataSource, + componentNodes: IComponentNodes, + telemetry: Telemetry, + storeId: string, + data: IDocumentStoreUpsertData, + files: Express.Multer.File[] = [], + isRefreshExisting = false +) => { + const docId = data.docId + let metadata = {} + if (data.metadata) { + try { + metadata = typeof data.metadata === 'string' ? JSON.parse(data.metadata) : data.metadata + } catch (error) { + throw new InternalFlowiseError(StatusCodes.BAD_REQUEST, `Error: Invalid metadata`) + } + } + const replaceExisting = data.replaceExisting ?? false + const createNewDocStore = data.createNewDocStore ?? false + const newLoader = typeof data.loader === 'string' ? JSON.parse(data.loader) : data.loader + const newSplitter = typeof data.splitter === 'string' ? JSON.parse(data.splitter) : data.splitter + const newVectorStore = typeof data.vectorStore === 'string' ? JSON.parse(data.vectorStore) : data.vectorStore + const newEmbedding = typeof data.embedding === 'string' ? JSON.parse(data.embedding) : data.embedding + const newRecordManager = typeof data.recordManager === 'string' ? JSON.parse(data.recordManager) : data.recordManager + + const getComponentLabelFromName = (nodeName: string) => { + const component = Object.values(componentNodes).find((node) => node.name === nodeName) + return component?.label || '' + } + + let loaderName = '' + let loaderId = '' + let loaderConfig: ICommonObject = {} + + let splitterName = '' + let splitterId = '' + let splitterConfig: ICommonObject = {} + + let vectorStoreName = '' + let vectorStoreConfig: ICommonObject = {} + + let embeddingName = '' + let embeddingConfig: ICommonObject = {} + + let recordManagerName = '' + let recordManagerConfig: ICommonObject = {} + + // Step 1: Get existing loader + if (docId) { + const entity = await appDataSource.getRepository(DocumentStore).findOneBy({ id: storeId }) + if (!entity) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Document store ${storeId} not found`) + } + const loaders = JSON.parse(entity.loaders) + const loader = loaders.find((ldr: IDocumentStoreLoader) => ldr.id === docId) + if (!loader) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Document loader ${docId} not found`) + } + + // Loader + loaderName = loader.loaderName + loaderId = loader.loaderId + loaderConfig = { + ...loaderConfig, + ...loader?.loaderConfig + } + + // Splitter + splitterName = loader.splitterName + splitterId = loader.splitterId + splitterConfig = { + ...splitterConfig, + ...loader?.splitterConfig + } + + // Vector Store + vectorStoreName = JSON.parse(entity.vectorStoreConfig || '{}')?.name + vectorStoreConfig = JSON.parse(entity.vectorStoreConfig || '{}')?.config + + // Embedding + embeddingName = JSON.parse(entity.embeddingConfig || '{}')?.name + embeddingConfig = JSON.parse(entity.embeddingConfig || '{}')?.config + + // Record Manager + recordManagerName = JSON.parse(entity.recordManagerConfig || '{}')?.name + recordManagerConfig = JSON.parse(entity.recordManagerConfig || '{}')?.config + } + + if (createNewDocStore) { + const docStoreBody = typeof data.docStore === 'string' ? JSON.parse(data.docStore) : data.docStore + const newDocumentStore = docStoreBody ?? { name: `Document Store ${Date.now().toString()}` } + const docStore = DocumentStoreDTO.toEntity(newDocumentStore) + const documentStore = appDataSource.getRepository(DocumentStore).create(docStore) + const dbResponse = await appDataSource.getRepository(DocumentStore).save(documentStore) + storeId = dbResponse.id + } + + // Step 2: Replace with new values + loaderName = newLoader?.name ? getComponentLabelFromName(newLoader?.name) : loaderName + loaderId = newLoader?.name || loaderId + loaderConfig = { + ...loaderConfig, + ...newLoader?.config + } + + splitterName = newSplitter?.name ? getComponentLabelFromName(newSplitter?.name) : splitterName + splitterId = newSplitter?.name || splitterId + splitterConfig = { + ...splitterConfig, + ...newSplitter?.config + } + + vectorStoreName = newVectorStore?.name || vectorStoreName + vectorStoreConfig = { + ...vectorStoreConfig, + ...newVectorStore?.config + } + + embeddingName = newEmbedding?.name || embeddingName + embeddingConfig = { + ...embeddingConfig, + ...newEmbedding?.config + } + + recordManagerName = newRecordManager?.name || recordManagerName + recordManagerConfig = { + ...recordManagerConfig, + ...newRecordManager?.config + } + + // Step 3: Replace with files + if (files.length) { + const filesLoaderConfig: ICommonObject = {} + for (const file of files) { + const fileNames: string[] = [] + const fileBuffer = await getFileFromUpload(file.path ?? file.key) + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') + + try { + await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, DOCUMENT_STORE_BASE_FOLDER, storeId) + } catch (error) { + continue + } + + const mimePrefix = 'data:' + file.mimetype + ';base64' + const storagePath = mimePrefix + ',' + fileBuffer.toString('base64') + `,filename:${file.originalname}` + + const fileInputFieldFromMimeType = mapMimeTypeToInputField(file.mimetype) + + const fileExtension = path.extname(file.originalname) + + const fileInputFieldFromExt = mapExtToInputField(fileExtension) + + let fileInputField = 'txtFile' + + if (fileInputFieldFromExt !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } else if (fileInputFieldFromMimeType !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } + + if (loaderId === 'unstructuredFileLoader') { + fileInputField = 'fileObject' + } + + if (filesLoaderConfig[fileInputField]) { + const existingFileInputFieldArray = JSON.parse(filesLoaderConfig[fileInputField]) + const newFileInputFieldArray = [storagePath] + const updatedFieldArray = existingFileInputFieldArray.concat(newFileInputFieldArray) + filesLoaderConfig[fileInputField] = JSON.stringify(updatedFieldArray) + } else { + filesLoaderConfig[fileInputField] = JSON.stringify([storagePath]) + } + + await removeSpecificFileFromUpload(file.path ?? file.key) + } + + loaderConfig = { + ...loaderConfig, + ...filesLoaderConfig + } + } + + if (Object.keys(metadata).length > 0) { + loaderConfig = { + ...loaderConfig, + metadata + } + } + + // Step 4: Verification for must have components + if (!loaderName || !loaderId || !loaderConfig) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Loader not configured`) + } + + if (!vectorStoreName || !vectorStoreConfig) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Vector store not configured`) + } + + if (!embeddingName || !embeddingConfig) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Embedding not configured`) + } + + // Step 5: Process & Upsert + const processData: IDocumentStoreLoaderForPreview = { + storeId, + loaderId, + loaderName, + loaderConfig, + splitterId, + splitterName, + splitterConfig, + userId: data.userId, + organizationId: data.organizationId + } + + if (isRefreshExisting || replaceExisting) { + processData.id = docId + } + + try { + const newLoader = await saveProcessingLoader(appDataSource, processData) + const result = await processLoader({ + appDataSource, + componentNodes, + data: processData, + docLoaderId: newLoader.id || '', + isProcessWithoutUpsert: false, + telemetry, + userId: data.userId, + organizationId: data.organizationId + }) + const newDocId = result.docId + + const insertData = { + storeId, + docId: newDocId, + vectorStoreName, + vectorStoreConfig, + embeddingName, + embeddingConfig, + recordManagerName, + recordManagerConfig + } + + const res = await insertIntoVectorStore({ + appDataSource, + componentNodes, + telemetry, + data: insertData, + isStrictSave: false, + isVectorStoreInsert: true, + userId: data.userId, + organizationId: data.organizationId + }) + res.docId = newDocId + if (createNewDocStore) res.storeId = storeId + + return res + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.upsertDocStore - ${getErrorMessage(error)}` + ) + } +} + +export const executeDocStoreUpsert = async ({ + appDataSource, + componentNodes, + telemetry, + storeId, + totalItems, + files, + isRefreshAPI, + userId, + organizationId +}: IExecuteDocStoreUpsert) => { + const results = [] + for (const item of totalItems) { + const res = await upsertDocStore(appDataSource, componentNodes, telemetry, storeId, item, files, isRefreshAPI) + results.push(res) + } + return isRefreshAPI ? results : results[0] +} + +const upsertDocStoreMiddleware = async (storeId: string, data: IDocumentStoreUpsertData, files: Express.Multer.File[] = []) => { + const appServer = getRunningExpressApp() + const componentNodes = appServer.nodesPool.componentNodes + const appDataSource = appServer.AppDataSource + const telemetry = appServer.telemetry + + try { + const executeData: IExecuteDocStoreUpsert = { + appDataSource, + componentNodes, + telemetry, + storeId, + totalItems: [data], + files, + isRefreshAPI: false, + userId: data.userId, + organizationId: data.organizationId + } + + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) + + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + + if (!result) { + throw new Error('Job execution failed') + } + return result + } else { + return await executeDocStoreUpsert(executeData) + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.upsertDocStoreMiddleware - ${getErrorMessage(error)}` + ) + } +} + +const refreshDocStoreMiddleware = async (storeId: string, data: IDocumentStoreRefreshData) => { + const appServer = getRunningExpressApp() + const componentNodes = appServer.nodesPool.componentNodes + const appDataSource = appServer.AppDataSource + const telemetry = appServer.telemetry + + try { + let totalItems: IDocumentStoreUpsertData[] = [] + + if (!data || !data.items || data.items.length === 0) { + const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ id: storeId }) + if (!entity) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Document store ${storeId} not found`) + } + + const loaders = JSON.parse(entity.loaders) + totalItems = loaders.map((ldr: IDocumentStoreLoader) => { + return { + docId: ldr.id + } + }) + } else { + totalItems = data.items + } + + const executeData: IExecuteDocStoreUpsert = { + appDataSource, + componentNodes, + telemetry, + storeId, + totalItems, + files: [], + isRefreshAPI: true, + userId: data.userId, + organizationId: data.organizationId + } + + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) + + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + + if (!result) { + throw new Error('Job execution failed') + } + return result + } else { + return await executeDocStoreUpsert(executeData) + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.refreshDocStoreMiddleware - ${getErrorMessage(error)}` + ) + } +} + +const generateDocStoreToolDesc = async (docStoreId: string, selectedChatModel: ICommonObject): Promise => { + try { + const appServer = getRunningExpressApp() + + // get matching DocumentStoreFileChunk storeId with docStoreId, and only the first 4 chunks sorted by chunkNo + const chunks = await appServer.AppDataSource.getRepository(DocumentStoreFileChunk).findBy({ + storeId: docStoreId + }) + + if (!chunks?.length) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `DocumentStore ${docStoreId} chunks not found`) + } + + // sort the chunks by chunkNo + chunks.sort((a, b) => a.chunkNo - b.chunkNo) + + // get the first 4 chunks + const chunksPageContent = chunks + .slice(0, 4) + .map((chunk) => { + return chunk.pageContent + }) + .join('\n') + + if (selectedChatModel && Object.keys(selectedChatModel).length > 0) { + const nodeInstanceFilePath = appServer.nodesPool.componentNodes[selectedChatModel.name].filePath as string + const nodeModule = await import(nodeInstanceFilePath) + const newNodeInstance = new nodeModule.nodeClass() + const nodeData = { + credential: selectedChatModel.credential || selectedChatModel.inputs['FLOWISE_CREDENTIAL_ID'] || undefined, + inputs: selectedChatModel.inputs, + id: `${selectedChatModel.name}_0` + } + const options: ICommonObject = { + appDataSource: appServer.AppDataSource, + databaseEntities, + logger + } + const llmNodeInstance = await newNodeInstance.init(nodeData, '', options) + const response = await llmNodeInstance.invoke( + DOCUMENTSTORE_TOOL_DESCRIPTION_PROMPT_GENERATOR.replace('{context}', chunksPageContent) + ) + return response + } + + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.generateDocStoreToolDesc - Error generating tool description` + ) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: documentStoreServices.generateDocStoreToolDesc - ${getErrorMessage(error)}` + ) + } +} + +export const findDocStoreAvailableConfigs = async (storeId: string, docId: string) => { + // find the document store + const appServer = getRunningExpressApp() + const entity = await appServer.AppDataSource.getRepository(DocumentStore).findOneBy({ id: storeId }) + + if (!entity) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Document store ${storeId} not found`) + } + + const loaders = JSON.parse(entity.loaders) + const loader = loaders.find((ldr: IDocumentStoreLoader) => ldr.id === docId) + if (!loader) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Document loader ${docId} not found`) + } + + const nodes = [] + const componentCredentials = appServer.nodesPool.componentCredentials + + const loaderName = loader.loaderId + const loaderLabel = appServer.nodesPool.componentNodes[loaderName].label + + const loaderInputs = + appServer.nodesPool.componentNodes[loaderName].inputs?.filter((input) => INPUT_PARAMS_TYPE.includes(input.type)) ?? [] + nodes.push({ + label: loaderLabel, + nodeId: `${loaderName}_0`, + inputParams: loaderInputs + }) + + const splitterName = loader.splitterId + if (splitterName) { + const splitterLabel = appServer.nodesPool.componentNodes[splitterName].label + const splitterInputs = + appServer.nodesPool.componentNodes[splitterName].inputs?.filter((input) => INPUT_PARAMS_TYPE.includes(input.type)) ?? [] + nodes.push({ + label: splitterLabel, + nodeId: `${splitterName}_0`, + inputParams: splitterInputs + }) + } + + if (entity.vectorStoreConfig) { + const vectorStoreName = JSON.parse(entity.vectorStoreConfig || '{}').name + const vectorStoreLabel = appServer.nodesPool.componentNodes[vectorStoreName].label + const vectorStoreInputs = + appServer.nodesPool.componentNodes[vectorStoreName].inputs?.filter((input) => INPUT_PARAMS_TYPE.includes(input.type)) ?? [] + nodes.push({ + label: vectorStoreLabel, + nodeId: `${vectorStoreName}_0`, + inputParams: vectorStoreInputs + }) + } + + if (entity.embeddingConfig) { + const embeddingName = JSON.parse(entity.embeddingConfig || '{}').name + const embeddingLabel = appServer.nodesPool.componentNodes[embeddingName].label + const embeddingInputs = + appServer.nodesPool.componentNodes[embeddingName].inputs?.filter((input) => INPUT_PARAMS_TYPE.includes(input.type)) ?? [] + nodes.push({ + label: embeddingLabel, + nodeId: `${embeddingName}_0`, + inputParams: embeddingInputs + }) + } + + if (entity.recordManagerConfig) { + const recordManagerName = JSON.parse(entity.recordManagerConfig || '{}').name + const recordManagerLabel = appServer.nodesPool.componentNodes[recordManagerName].label + const recordManagerInputs = + appServer.nodesPool.componentNodes[recordManagerName].inputs?.filter((input) => INPUT_PARAMS_TYPE.includes(input.type)) ?? [] + nodes.push({ + label: recordManagerLabel, + nodeId: `${recordManagerName}_0`, + inputParams: recordManagerInputs + }) + } + + const configs: IOverrideConfig[] = [] + for (const node of nodes) { + const inputParams = node.inputParams + for (const inputParam of inputParams) { + let obj: IOverrideConfig + if (inputParam.type === 'file') { + obj = { + node: node.label, + nodeId: node.nodeId, + label: inputParam.label, + name: 'files', + type: inputParam.fileType ?? inputParam.type + } + } else if (inputParam.type === 'options') { + obj = { + node: node.label, + nodeId: node.nodeId, + label: inputParam.label, + name: inputParam.name, + type: inputParam.options + ? inputParam.options + ?.map((option) => { + return option.name + }) + .join(', ') + : 'string' + } + } else if (inputParam.type === 'credential') { + // get component credential inputs + for (const name of inputParam.credentialNames ?? []) { + if (Object.prototype.hasOwnProperty.call(componentCredentials, name)) { + const inputs = componentCredentials[name]?.inputs ?? [] + for (const input of inputs) { + obj = { + node: node.label, + nodeId: node.nodeId, + label: input.label, + name: input.name, + type: input.type === 'password' ? 'string' : input.type + } + configs.push(obj) + } + } + } + continue + } else { + obj = { + node: node.label, + nodeId: node.nodeId, + label: inputParam.label, + name: inputParam.name, + type: inputParam.type === 'password' ? 'string' : inputParam.type + } + } + if (!configs.some((config) => JSON.stringify(config) === JSON.stringify(obj))) { + configs.push(obj) + } + } + } + + return configs +} + export default { updateDocumentStoreUsage, deleteDocumentStore, createDocumentStore, deleteLoaderFromDocumentStore, getAllDocumentStores, + getAllDocumentFileChunks, getDocumentStoreById, getUsedChatflowNames, getDocumentStoreFileChunks, syncAndRefreshChunks, updateDocumentStore, - previewChunks, - processAndSaveChunks, + previewChunksMiddleware, + saveProcessingLoader, + processLoaderMiddleware, deleteDocumentStoreFileChunk, editDocumentStoreFileChunk, getDocumentLoaders, - insertIntoVectorStore, + insertIntoVectorStoreMiddleware, getEmbeddingProviders, getVectorStoreProviders, getRecordManagerProviders, saveVectorStoreConfig, queryVectorStore, deleteVectorStoreFromStore, - updateVectorStoreConfigOnly + updateVectorStoreConfigOnly, + upsertDocStoreMiddleware, + refreshDocStoreMiddleware, + generateDocStoreToolDesc, + findDocStoreAvailableConfigs } diff --git a/packages/server/src/services/export-import/index.ts b/packages/server/src/services/export-import/index.ts new file mode 100644 index 00000000000..88c91c13b6c --- /dev/null +++ b/packages/server/src/services/export-import/index.ts @@ -0,0 +1,120 @@ +import { StatusCodes } from 'http-status-codes' +import { ChatFlow } from '../../database/entities/ChatFlow' +import { Tool } from '../../database/entities/Tool' +import { Variable } from '../../database/entities/Variable' +import { Assistant } from '../../database/entities/Assistant' +import { InternalFlowiseError } from '../../errors/internalFlowiseError' +import { getErrorMessage } from '../../errors/utils' +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import chatflowService from '../chatflows' +import toolsService from '../tools' +import variableService from '../variables' +import assistantService from '../assistants' +import { IUser } from '../../Interface' + +type ExportInput = { + tool: boolean + chatflow: boolean + agentflow: boolean + variable: boolean + assistant: boolean +} + +type ExportData = { + Tool: Tool[] + ChatFlow: ChatFlow[] + AgentFlow: ChatFlow[] + Variable: Variable[] + Assistant: Assistant[] +} + +const convertExportInput = (body: any): ExportInput => { + try { + if (!body || typeof body !== 'object') throw new Error('Invalid ExportInput object in request body') + if (body.tool && typeof body.tool !== 'boolean') throw new Error('Invalid tool property in ExportInput object') + if (body.chatflow && typeof body.chatflow !== 'boolean') throw new Error('Invalid chatflow property in ExportInput object') + if (body.agentflow && typeof body.agentflow !== 'boolean') throw new Error('Invalid agentflow property in ExportInput object') + if (body.variable && typeof body.variable !== 'boolean') throw new Error('Invalid variable property in ExportInput object') + if (body.assistant && typeof body.assistant !== 'boolean') throw new Error('Invalid assistant property in ExportInput object') + return body as ExportInput + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: exportImportService.convertExportInput - ${getErrorMessage(error)}` + ) + } +} + +const FileDefaultName = 'ExportData.json' +const exportData = async (exportInput: ExportInput, user: IUser): Promise<{ FileDefaultName: string } & ExportData> => { + try { + // step 1 - get all Tool + let allTool: Tool[] = [] + if (exportInput.tool === true) allTool = await toolsService.getAllTools(user) + + // step 2 - get all ChatFlow + let allChatflow: ChatFlow[] = [] + if (exportInput.chatflow === true) allChatflow = await chatflowService.getAllChatflows('CHATFLOW') + + // step 3 - get all MultiAgent + let allMultiAgent: ChatFlow[] = [] + if (exportInput.agentflow === true) allMultiAgent = await chatflowService.getAllChatflows('MULTIAGENT') + + let allVars: Variable[] = [] + if (exportInput.variable === true) allVars = await variableService.getAllVariables(user) + + let allAssistants: Assistant[] = [] + if (exportInput.assistant === true) allAssistants = await assistantService.getAllAssistants() + + return { + FileDefaultName, + Tool: allTool, + ChatFlow: allChatflow, + AgentFlow: allMultiAgent, + Variable: allVars, + Assistant: allAssistants + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: exportImportService.exportData - ${getErrorMessage(error)}` + ) + } +} + +const importData = async (importData: ExportData) => { + try { + const appServer = getRunningExpressApp() + const queryRunner = appServer.AppDataSource.createQueryRunner() + + try { + await queryRunner.startTransaction() + + if (importData.Tool.length > 0) await toolsService.importTools(importData.Tool, queryRunner) + if (importData.ChatFlow.length > 0) await chatflowService.importChatflows(importData.ChatFlow, queryRunner) + if (importData.AgentFlow.length > 0) await chatflowService.importChatflows(importData.AgentFlow, queryRunner) + if (importData.Variable.length > 0) await variableService.importVariables(importData.Variable, queryRunner) + if (importData.Assistant.length > 0) await assistantService.importAssistants(importData.Assistant, queryRunner) + + await queryRunner.commitTransaction() + } catch (error) { + await queryRunner.rollbackTransaction() + throw error + } finally { + if (!queryRunner.isReleased) { + await queryRunner.release() + } + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: exportImportService.importAll - ${getErrorMessage(error)}` + ) + } +} + +export default { + convertExportInput, + exportData, + importData +} diff --git a/packages/server/src/services/feedback/index.ts b/packages/server/src/services/feedback/index.ts index df6bc49ce83..0358cacb554 100644 --- a/packages/server/src/services/feedback/index.ts +++ b/packages/server/src/services/feedback/index.ts @@ -25,7 +25,7 @@ const getAllChatMessageFeedback = async ( } } -// Add chatmessage feedback for chatflowid +// Add chatmessage feedback const createChatMessageFeedbackForChatflow = async (requestBody: Partial): Promise => { try { const dbResponse = await utilAddChatMessageFeedback(requestBody) @@ -38,10 +38,10 @@ const createChatMessageFeedbackForChatflow = async (requestBody: Partial): Promise => { +// Add chatmessage feedback +const updateChatMessageFeedbackForChatflow = async (feedbackId: string, requestBody: Partial): Promise => { try { - const dbResponse = await utilUpdateChatMessageFeedback(chatflowId, requestBody) + const dbResponse = await utilUpdateChatMessageFeedback(feedbackId, requestBody) return dbResponse } catch (error) { throw new InternalFlowiseError( diff --git a/packages/server/src/services/marketplaces/index.ts b/packages/server/src/services/marketplaces/index.ts index 4c807a423ef..2f60a48d28b 100644 --- a/packages/server/src/services/marketplaces/index.ts +++ b/packages/server/src/services/marketplaces/index.ts @@ -5,16 +5,14 @@ import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' import { IReactFlowEdge, IReactFlowNode, IUser } from '../../Interface' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' -import { ChatFlow, ChatflowVisibility } from '../../database/entities/ChatFlow' -import checkOwnership from '../../utils/checkOwnership' - -// Remove the import from 'class-validator' +import { DeleteResult } from 'typeorm' +import { CustomTemplate } from '../../database/entities/CustomTemplate' +import { ChatFlow } from '../../database/entities/ChatFlow' +import { ChatflowVisibility } from '../../database/entities/ChatFlow' +import { validate as isUUID } from 'uuid' -// Add a pure JavaScript implementation of isUUID -function isUUID(str: string): boolean { - const uuidRegex = /^[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i - return uuidRegex.test(str) -} +import chatflowsService from '../chatflows' +import checkOwnership from '../../utils/checkOwnership' type ITemplate = { badge: string @@ -285,7 +283,149 @@ const getMarketplaceTemplate = async (templateIdOrName: string, user?: IUser): P } } +const deleteCustomTemplate = async (templateId: string): Promise => { + try { + const appServer = getRunningExpressApp() + return await appServer.AppDataSource.getRepository(CustomTemplate).delete({ id: templateId }) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: marketplacesService.deleteCustomTemplate - ${getErrorMessage(error)}` + ) + } +} + +const getAllCustomTemplates = async (): Promise => { + try { + const appServer = getRunningExpressApp() + const templates: any[] = await appServer.AppDataSource.getRepository(CustomTemplate).find() + templates.map((template) => { + template.usecases = template.usecases ? JSON.parse(template.usecases) : '' + if (template.type === 'Tool') { + template.flowData = JSON.parse(template.flowData) + template.iconSrc = template.flowData.iconSrc + template.schema = template.flowData.schema + template.func = template.flowData.func + template.categories = [] + template.flowData = undefined + } else { + template.categories = getCategories(JSON.parse(template.flowData)) + } + if (!template.badge) { + template.badge = '' + } + if (!template.framework) { + template.framework = '' + } + }) + return templates + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: marketplacesService.getAllCustomTemplates - ${getErrorMessage(error)}` + ) + } +} + +const saveCustomTemplate = async (body: any): Promise => { + try { + const appServer = getRunningExpressApp() + let flowDataStr = '' + let derivedFramework = '' + const customTemplate = new CustomTemplate() + Object.assign(customTemplate, body) + + if (body.chatflowId) { + const chatflow = await chatflowsService.getChatflowById(body.chatflowId) + const flowData = JSON.parse(chatflow.flowData) + const { framework, exportJson } = _generateExportFlowData(flowData) + flowDataStr = JSON.stringify(exportJson) + customTemplate.framework = framework + } else if (body.tool) { + const flowData = { + iconSrc: body.tool.iconSrc, + schema: body.tool.schema, + func: body.tool.func + } + customTemplate.framework = '' + customTemplate.type = 'Tool' + flowDataStr = JSON.stringify(flowData) + } + customTemplate.framework = derivedFramework + if (customTemplate.usecases) { + customTemplate.usecases = JSON.stringify(customTemplate.usecases) + } + const entity = appServer.AppDataSource.getRepository(CustomTemplate).create(customTemplate) + entity.flowData = flowDataStr + const flowTemplate = await appServer.AppDataSource.getRepository(CustomTemplate).save(entity) + return flowTemplate + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: marketplacesService.saveCustomTemplate - ${getErrorMessage(error)}` + ) + } +} + +const _generateExportFlowData = (flowData: any) => { + const nodes = flowData.nodes + const edges = flowData.edges + + let framework = 'Langchain' + for (let i = 0; i < nodes.length; i += 1) { + nodes[i].selected = false + const node = nodes[i] + + const newNodeData = { + id: node.data.id, + label: node.data.label, + version: node.data.version, + name: node.data.name, + type: node.data.type, + baseClasses: node.data.baseClasses, + tags: node.data.tags, + category: node.data.category, + description: node.data.description, + inputParams: node.data.inputParams, + inputAnchors: node.data.inputAnchors, + inputs: {}, + outputAnchors: node.data.outputAnchors, + outputs: node.data.outputs, + selected: false + } + + if (node.data.tags && node.data.tags.length) { + if (node.data.tags.includes('LlamaIndex')) { + framework = 'LlamaIndex' + } + } + + // Remove password, file & folder + if (node.data.inputs && Object.keys(node.data.inputs).length) { + const nodeDataInputs: any = {} + for (const input in node.data.inputs) { + const inputParam = node.data.inputParams.find((inp: any) => inp.name === input) + if (inputParam && inputParam.type === 'password') continue + if (inputParam && inputParam.type === 'file') continue + if (inputParam && inputParam.type === 'folder') continue + nodeDataInputs[input] = node.data.inputs[input] + } + newNodeData.inputs = nodeDataInputs + } + + nodes[i].data = newNodeData + } + const exportJson = { + nodes, + edges + } + return { exportJson, framework } +} + export default { getAllTemplates, + getAllCustomTemplates, + saveCustomTemplate, + deleteCustomTemplate, getMarketplaceTemplate } diff --git a/packages/server/src/services/nodes/index.ts b/packages/server/src/services/nodes/index.ts index 2340aa9b094..2b682f45dad 100644 --- a/packages/server/src/services/nodes/index.ts +++ b/packages/server/src/services/nodes/index.ts @@ -130,6 +130,13 @@ const executeCustomFunction = async (requestBody: any) => { const functionInputVariables = Object.fromEntries( [...(body?.javascriptFunction ?? '').matchAll(/\$([a-zA-Z0-9_]+)/g)].map((g) => [g[1], undefined]) ) + if (functionInputVariables && Object.keys(functionInputVariables).length) { + for (const key in functionInputVariables) { + if (key.includes('vars')) { + delete functionInputVariables[key] + } + } + } const nodeData = { inputs: { functionInputVariables, ...body } } if (Object.prototype.hasOwnProperty.call(appServer.nodesPool.componentNodes, 'customFunction')) { try { diff --git a/packages/server/src/services/openai-assistants-vector-store/index.ts b/packages/server/src/services/openai-assistants-vector-store/index.ts index 46f9c183f8e..671e18d9098 100644 --- a/packages/server/src/services/openai-assistants-vector-store/index.ts +++ b/packages/server/src/services/openai-assistants-vector-store/index.ts @@ -1,11 +1,11 @@ import OpenAI from 'openai' import { StatusCodes } from 'http-status-codes' -import fs from 'fs' import { Credential } from '../../database/entities/Credential' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' import { decryptCredentialData } from '../../utils' +import { getFileFromUpload, removeSpecificFileFromUpload } from 'flowise-components' const getAssistantVectorStore = async (credentialId: string, vectorStoreId: string) => { try { @@ -178,13 +178,14 @@ const uploadFilesToAssistantVectorStore = async ( const openai = new OpenAI({ apiKey: openAIApiKey }) const uploadedFiles = [] for (const file of files) { - const toFile = await OpenAI.toFile(fs.readFileSync(file.filePath), file.fileName) + const fileBuffer = await getFileFromUpload(file.filePath) + const toFile = await OpenAI.toFile(fileBuffer, file.fileName) const createdFile = await openai.files.create({ file: toFile, purpose: 'assistants' }) uploadedFiles.push(createdFile) - fs.unlinkSync(file.filePath) + await removeSpecificFileFromUpload(file.filePath) } const file_ids = [...uploadedFiles.map((file) => file.id)] diff --git a/packages/server/src/services/openai-assistants/index.ts b/packages/server/src/services/openai-assistants/index.ts index c908a546755..e842b04565b 100644 --- a/packages/server/src/services/openai-assistants/index.ts +++ b/packages/server/src/services/openai-assistants/index.ts @@ -1,11 +1,11 @@ import OpenAI from 'openai' -import fs from 'fs' import { StatusCodes } from 'http-status-codes' import { decryptCredentialData } from '../../utils' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' import { Credential } from '../../database/entities/Credential' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' +import { getFileFromUpload, removeSpecificFileFromUpload } from 'flowise-components' // ---------------------------------------- // Assistants @@ -101,13 +101,14 @@ const uploadFilesToAssistant = async (credentialId: string, files: { filePath: s const uploadedFiles = [] for (const file of files) { - const toFile = await OpenAI.toFile(fs.readFileSync(file.filePath), file.fileName) + const fileBuffer = await getFileFromUpload(file.filePath) + const toFile = await OpenAI.toFile(fileBuffer, file.fileName) const createdFile = await openai.files.create({ file: toFile, purpose: 'assistants' }) uploadedFiles.push(createdFile) - fs.unlinkSync(file.filePath) + await removeSpecificFileFromUpload(file.filePath) } return uploadedFiles diff --git a/packages/server/src/services/openai-realtime/index.ts b/packages/server/src/services/openai-realtime/index.ts new file mode 100644 index 00000000000..c6b01bf6aef --- /dev/null +++ b/packages/server/src/services/openai-realtime/index.ts @@ -0,0 +1,204 @@ +import { StatusCodes } from 'http-status-codes' +import { InternalFlowiseError } from '../../errors/internalFlowiseError' +import { getErrorMessage } from '../../errors/utils' +import { + buildFlow, + constructGraphs, + databaseEntities, + getAPIOverrideConfig, + getEndingNodes, + getStartingNodes, + resolveVariables +} from '../../utils' +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import { ChatFlow } from '../../database/entities/ChatFlow' +import { IDepthQueue, IReactFlowNode, IUser } from '../../Interface' +import { ICommonObject, INodeData } from 'flowise-components' +import { convertToOpenAIFunction } from '@langchain/core/utils/function_calling' +import { v4 as uuidv4 } from 'uuid' +import { Variable } from '../../database/entities/Variable' + +const SOURCE_DOCUMENTS_PREFIX = '\n\n----FLOWISE_SOURCE_DOCUMENTS----\n\n' +const ARTIFACTS_PREFIX = '\n\n----FLOWISE_ARTIFACTS----\n\n' + +const buildAndInitTool = async (user: IUser, chatflowid: string, _chatId?: string, _apiMessageId?: string) => { + const appServer = getRunningExpressApp() + const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ + id: chatflowid + }) + if (!chatflow) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) + } + + const chatId = _chatId || uuidv4() + const apiMessageId = _apiMessageId || uuidv4() + const flowData = JSON.parse(chatflow.flowData) + const nodes = flowData.nodes + const edges = flowData.edges + + const toolAgentNode = nodes.find( + (node: IReactFlowNode) => node.data.inputAnchors.find((acr) => acr.type === 'Tool') && node.data.category === 'Agents' + ) + if (!toolAgentNode) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Agent with tools not found in chatflow ${chatflowid}`) + } + + const { graph, nodeDependencies } = constructGraphs(nodes, edges) + const directedGraph = graph + const endingNodes = getEndingNodes(nodeDependencies, directedGraph, nodes) + + /*** Get Starting Nodes with Reversed Graph ***/ + const constructedObj = constructGraphs(nodes, edges, { isReversed: true }) + const nonDirectedGraph = constructedObj.graph + let startingNodeIds: string[] = [] + let depthQueue: IDepthQueue = {} + const endingNodeIds = endingNodes.map((n) => n.id) + for (const endingNodeId of endingNodeIds) { + const resx = getStartingNodes(nonDirectedGraph, endingNodeId) + startingNodeIds.push(...resx.startingNodeIds) + depthQueue = Object.assign(depthQueue, resx.depthQueue) + } + startingNodeIds = [...new Set(startingNodeIds)] + + const availableVariables = await appServer.AppDataSource.getRepository(Variable).find({ where: { userId: user.id } }) + const { nodeOverrides, variableOverrides, apiOverrideStatus } = getAPIOverrideConfig(chatflow) + + const reactFlowNodes = await buildFlow({ + user, + startingNodeIds, + reactFlowNodes: nodes, + reactFlowEdges: edges, + graph, + depthQueue, + componentNodes: appServer.nodesPool.componentNodes, + question: '', + chatHistory: [], + chatId: chatId, + sessionId: chatId, + chatflowid, + apiMessageId, + appDataSource: appServer.AppDataSource, + apiOverrideStatus, + nodeOverrides, + availableVariables, + variableOverrides + }) + + const nodeToExecute = + endingNodeIds.length === 1 + ? reactFlowNodes.find((node: IReactFlowNode) => endingNodeIds[0] === node.id) + : reactFlowNodes[reactFlowNodes.length - 1] + + if (!nodeToExecute) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Node not found`) + } + + const flowDataObj: ICommonObject = { chatflowid, chatId } + + const reactFlowNodeData: INodeData = await resolveVariables( + user, + nodeToExecute.data, + reactFlowNodes, + '', + [], + flowDataObj, + '', + availableVariables, + variableOverrides + ) + let nodeToExecuteData = reactFlowNodeData + + const nodeInstanceFilePath = appServer.nodesPool.componentNodes[nodeToExecuteData.name].filePath as string + const nodeModule = await import(nodeInstanceFilePath) + const nodeInstance = new nodeModule.nodeClass() + + const agent = await nodeInstance.init(nodeToExecuteData, '', { + chatflowid, + chatId, + appDataSource: appServer.AppDataSource, + databaseEntities, + analytic: chatflow.analytic + }) + + return agent +} + +const getAgentTools = async (user: IUser, chatflowid: string): Promise => { + try { + const agent = await buildAndInitTool(user, chatflowid) + const tools = agent.tools + return tools.map(convertToOpenAIFunction) + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: openaiRealTimeService.getAgentTools - ${getErrorMessage(error)}` + ) + } +} + +const executeAgentTool = async ( + user: IUser, + chatflowid: string, + chatId: string, + toolName: string, + inputArgs: string, + apiMessageId?: string +): Promise => { + try { + const agent = await buildAndInitTool(user, chatflowid, chatId, apiMessageId) + const tools = agent.tools + const tool = tools.find((tool: any) => tool.name === toolName) + + if (!tool) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Tool ${toolName} not found`) + } + + const inputArgsObj = typeof inputArgs === 'string' ? JSON.parse(inputArgs) : inputArgs + + let toolOutput = await tool.call(inputArgsObj, undefined, undefined, { chatId }) + + if (typeof toolOutput === 'object') { + toolOutput = JSON.stringify(toolOutput) + } + + let sourceDocuments = [] + if (typeof toolOutput === 'string' && toolOutput.includes(SOURCE_DOCUMENTS_PREFIX)) { + const _splitted = toolOutput.split(SOURCE_DOCUMENTS_PREFIX) + toolOutput = _splitted[0] + const _sourceDocuments = JSON.parse(_splitted[1].trim()) + if (Array.isArray(_sourceDocuments)) { + sourceDocuments = _sourceDocuments + } else { + sourceDocuments.push(_sourceDocuments) + } + } + + let artifacts = [] + if (typeof toolOutput === 'string' && toolOutput.includes(ARTIFACTS_PREFIX)) { + const _splitted = toolOutput.split(ARTIFACTS_PREFIX) + toolOutput = _splitted[0] + const _artifacts = JSON.parse(_splitted[1].trim()) + if (Array.isArray(_artifacts)) { + artifacts = _artifacts + } else { + artifacts.push(_artifacts) + } + } + + return { + output: toolOutput, + sourceDocuments, + artifacts + } + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: openaiRealTimeService.executeAgentTool - ${getErrorMessage(error)}` + ) + } +} + +export default { + getAgentTools, + executeAgentTool +} diff --git a/packages/server/src/services/predictions/index.ts b/packages/server/src/services/predictions/index.ts index dbb261be837..b4149a17361 100644 --- a/packages/server/src/services/predictions/index.ts +++ b/packages/server/src/services/predictions/index.ts @@ -1,12 +1,11 @@ import { Request } from 'express' -import { Server } from 'socket.io' import { StatusCodes } from 'http-status-codes' import { utilBuildChatflow } from '../../utils/buildChatflow' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' import chatflowsService from '../chatflows' -const buildChatflow = async (fullRequest: Request, ioServer: Server) => { +const buildChatflow = async (fullRequest: Request) => { try { const { chatId, question: prompt, overrideConfig } = fullRequest.body const chatflowId = fullRequest.params.id @@ -33,7 +32,7 @@ const buildChatflow = async (fullRequest: Request, ioServer: Server) => { } // First build and get response from chatflow - const response = await utilBuildChatflow(fullRequest, ioServer) + const response = await utilBuildChatflow(fullRequest) // After successful response, upsert the chat if (response.chatId) { diff --git a/packages/server/src/services/stats/index.ts b/packages/server/src/services/stats/index.ts index 70b74de0a40..48dd0ed300e 100644 --- a/packages/server/src/services/stats/index.ts +++ b/packages/server/src/services/stats/index.ts @@ -1,5 +1,5 @@ import { StatusCodes } from 'http-status-codes' -import { ChatMessageRatingType, chatType, IUser } from '../../Interface' +import { ChatMessageRatingType, ChatType, IUser } from '../../Interface' import { ChatMessage } from '../../database/entities/ChatMessage' import { utilGetChatMessage } from '../../utils/getChatMessage' import { ChatMessageFeedback } from '../../database/entities/ChatMessageFeedback' @@ -10,7 +10,7 @@ import { getErrorMessage } from '../../errors/utils' const getChatflowStats = async ( user: IUser, chatflowid: string, - chatTypeFilter: chatType | undefined, + chatTypes: ChatType[] | undefined, startDate?: string, endDate?: string, messageId?: string, @@ -18,20 +18,16 @@ const getChatflowStats = async ( feedbackTypes?: ChatMessageRatingType[] ): Promise => { try { - const chatmessages = (await utilGetChatMessage( + const chatmessages = (await utilGetChatMessage({ user, chatflowid, - chatTypeFilter, - undefined, - undefined, - undefined, - undefined, + chatTypes, startDate, endDate, messageId, feedback, feedbackTypes - )) as Array + })) as Array const totalMessages = chatmessages.length const totalFeedback = chatmessages.filter((message) => message?.feedback).length const positiveFeedback = chatmessages.filter((message) => message?.feedback?.rating === 'THUMBS_UP').length diff --git a/packages/server/src/services/telemetry/index.ts b/packages/server/src/services/telemetry/index.ts deleted file mode 100644 index 4c77efd535c..00000000000 --- a/packages/server/src/services/telemetry/index.ts +++ /dev/null @@ -1,10 +0,0 @@ -import { getRunningExpressApp } from '../../utils/getRunningExpressApp' - -const createEvent = async (eventInfo: any) => { - const appServer = getRunningExpressApp() - await appServer.telemetry.sendTelemetry(eventInfo.name, eventInfo.data) -} - -export default { - createEvent -} diff --git a/packages/server/src/services/tools/index.ts b/packages/server/src/services/tools/index.ts index 7a20e008b39..f13d701be91 100644 --- a/packages/server/src/services/tools/index.ts +++ b/packages/server/src/services/tools/index.ts @@ -1,11 +1,12 @@ import { StatusCodes } from 'http-status-codes' -import { getRunningExpressApp } from '../../utils/getRunningExpressApp' -import { Tool, ToolVisibility } from '../../database/entities/Tool' -import { getAppVersion } from '../../utils' +import { Tool,ToolVisibility } from '../../database/entities/Tool' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' +import { getAppVersion } from '../../utils' +import { getRunningExpressApp } from '../../utils/getRunningExpressApp' +import { FLOWISE_METRIC_COUNTERS, FLOWISE_COUNTER_STATUS } from '../../Interface.Metrics' import { IUser } from '../../Interface' -import { IsNull, Like } from 'typeorm' +import { QueryRunner, IsNull, Like } from 'typeorm' const createTool = async (requestBody: any, user: IUser): Promise => { try { @@ -21,6 +22,7 @@ const createTool = async (requestBody: any, user: IUser): Promise => { toolId: dbResponse.id, toolName: dbResponse.name }) + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.TOOL_CREATED, { status: FLOWISE_COUNTER_STATUS.SUCCESS }) return dbResponse } catch (error) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error: toolsService.createTool - ${getErrorMessage(error)}`) @@ -40,7 +42,7 @@ const deleteTool = async (toolId: string, user: IUser): Promise => { } } -const getAllTools = async (user: IUser): Promise => { +const getAllTools = async (user: IUser): Promise => { try { const appServer = getRunningExpressApp() const toolRepo = appServer.AppDataSource.getRepository(Tool) @@ -105,10 +107,55 @@ const updateTool = async (toolId: string, toolBody: any, user: IUser): Promise[], queryRunner?: QueryRunner) => { + try { + const appServer = getRunningExpressApp() + const repository = queryRunner ? queryRunner.manager.getRepository(Tool) : appServer.AppDataSource.getRepository(Tool) + + // step 1 - check whether file tools array is zero + if (newTools.length == 0) return + + // step 2 - check whether ids are duplicate in database + let ids = '(' + let count: number = 0 + const lastCount = newTools.length - 1 + newTools.forEach((newTools) => { + ids += `'${newTools.id}'` + if (lastCount != count) ids += ',' + if (lastCount == count) ids += ')' + count += 1 + }) + + const selectResponse = await repository.createQueryBuilder('t').select('t.id').where(`t.id IN ${ids}`).getMany() + const foundIds = selectResponse.map((response) => { + return response.id + }) + + // step 3 - remove ids that are only duplicate + const prepTools: Partial[] = newTools.map((newTool) => { + let id: string = '' + if (newTool.id) id = newTool.id + if (foundIds.includes(id)) { + newTool.id = undefined + newTool.name += ' (1)' + } + return newTool + }) + + // step 4 - transactional insert array of entities + const insertResponse = await repository.insert(prepTools) + + return insertResponse + } catch (error) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error: toolsService.importTools - ${getErrorMessage(error)}`) + } +} + export default { createTool, deleteTool, getAllTools, getToolById, - updateTool + updateTool, + importTools } diff --git a/packages/server/src/services/upsert-history/index.ts b/packages/server/src/services/upsert-history/index.ts index 72e484b1cb1..f606a7a6571 100644 --- a/packages/server/src/services/upsert-history/index.ts +++ b/packages/server/src/services/upsert-history/index.ts @@ -1,4 +1,4 @@ -import { MoreThanOrEqual, LessThanOrEqual } from 'typeorm' +import { MoreThanOrEqual, LessThanOrEqual, Between } from 'typeorm' import { StatusCodes } from 'http-status-codes' import { getRunningExpressApp } from '../../utils/getRunningExpressApp' import { UpsertHistory } from '../../database/entities/UpsertHistory' @@ -14,26 +14,20 @@ const getAllUpsertHistory = async ( try { const appServer = getRunningExpressApp() - const setDateToStartOrEndOfDay = (dateTimeStr: string, setHours: 'start' | 'end') => { - const date = new Date(dateTimeStr) - if (isNaN(date.getTime())) { - return undefined + let createdDateQuery + if (startDate || endDate) { + if (startDate && endDate) { + createdDateQuery = Between(new Date(startDate), new Date(endDate)) + } else if (startDate) { + createdDateQuery = MoreThanOrEqual(new Date(startDate)) + } else if (endDate) { + createdDateQuery = LessThanOrEqual(new Date(endDate)) } - setHours === 'start' ? date.setHours(0, 0, 0, 0) : date.setHours(23, 59, 59, 999) - return date } - - let fromDate - if (startDate) fromDate = setDateToStartOrEndOfDay(startDate, 'start') - - let toDate - if (endDate) toDate = setDateToStartOrEndOfDay(endDate, 'end') - let upsertHistory = await appServer.AppDataSource.getRepository(UpsertHistory).find({ where: { chatflowid, - ...(fromDate && { date: MoreThanOrEqual(fromDate) }), - ...(toDate && { date: LessThanOrEqual(toDate) }) + date: createdDateQuery }, order: { date: sortOrder === 'DESC' ? 'DESC' : 'ASC' diff --git a/packages/server/src/services/variables/index.ts b/packages/server/src/services/variables/index.ts index f30e08dc3be..a31f6b61359 100644 --- a/packages/server/src/services/variables/index.ts +++ b/packages/server/src/services/variables/index.ts @@ -4,7 +4,7 @@ import { Variable, VariableVisibility } from '../../database/entities/Variable' import { InternalFlowiseError } from '../../errors/internalFlowiseError' import { getErrorMessage } from '../../errors/utils' import { IUser } from '../../Interface' -import { Any, FindOptionsWhere, IsNull, Like } from 'typeorm' +import { QueryRunner, FindOptionsWhere, IsNull, Like } from 'typeorm' const createVariable = async (newVariable: Variable, user: IUser) => { try { @@ -105,10 +105,58 @@ const updateVariable = async (variable: Variable, updatedVariable: Variable) => } } +const importVariables = async (newVariables: Partial[], queryRunner?: QueryRunner): Promise => { + try { + const appServer = getRunningExpressApp() + const repository = queryRunner ? queryRunner.manager.getRepository(Variable) : appServer.AppDataSource.getRepository(Variable) + + // step 1 - check whether array is zero + if (newVariables.length == 0) return + + // step 2 - check whether ids are duplicate in database + let ids = '(' + let count: number = 0 + const lastCount = newVariables.length - 1 + newVariables.forEach((newVariable) => { + ids += `'${newVariable.id}'` + if (lastCount != count) ids += ',' + if (lastCount == count) ids += ')' + count += 1 + }) + + const selectResponse = await repository.createQueryBuilder('v').select('v.id').where(`v.id IN ${ids}`).getMany() + const foundIds = selectResponse.map((response) => { + return response.id + }) + + // step 3 - remove ids that are only duplicate + const prepVariables: Partial[] = newVariables.map((newVariable) => { + let id: string = '' + if (newVariable.id) id = newVariable.id + if (foundIds.includes(id)) { + newVariable.id = undefined + newVariable.name += ' (1)' + } + return newVariable + }) + + // step 4 - transactional insert array of entities + const insertResponse = await repository.insert(prepVariables) + + return insertResponse + } catch (error) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + `Error: variableService.importVariables - ${getErrorMessage(error)}` + ) + } +} + export default { createVariable, deleteVariable, getAllVariables, getVariableById, - updateVariable + updateVariable, + importVariables } diff --git a/packages/server/src/utils/SSEStreamer.ts b/packages/server/src/utils/SSEStreamer.ts new file mode 100644 index 00000000000..a5327bad1f0 --- /dev/null +++ b/packages/server/src/utils/SSEStreamer.ts @@ -0,0 +1,208 @@ +import { Response } from 'express' +import { IServerSideEventStreamer } from 'flowise-components' + +// define a new type that has a client type (INTERNAL or EXTERNAL) and Response type +type Client = { + // future use + clientType: 'INTERNAL' | 'EXTERNAL' + response: Response + // optional property with default value + started?: boolean +} + +export class SSEStreamer implements IServerSideEventStreamer { + clients: { [id: string]: Client } = {} + + addExternalClient(chatId: string, res: Response) { + this.clients[chatId] = { clientType: 'EXTERNAL', response: res, started: false } + } + + addClient(chatId: string, res: Response) { + this.clients[chatId] = { clientType: 'INTERNAL', response: res, started: false } + } + + removeClient(chatId: string) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'end', + data: '[DONE]' + } + client.response.write('message\ndata:' + JSON.stringify(clientResponse) + '\n\n') + client.response.end() + delete this.clients[chatId] + } + } + + streamCustomEvent(chatId: string, eventType: string, data: any) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: eventType, + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + + streamStartEvent(chatId: string, data: string) { + const client = this.clients[chatId] + // prevent multiple start events being streamed to the client + if (client && !client.started) { + const clientResponse = { + event: 'start', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + client.started = true + } + } + + streamTokenEvent(chatId: string, data: string) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'token', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + + streamSourceDocumentsEvent(chatId: string, data: any) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'sourceDocuments', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamArtifactsEvent(chatId: string, data: any) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'artifacts', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamUsedToolsEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'usedTools', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamFileAnnotationsEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'fileAnnotations', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamToolEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'tool', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamAgentReasoningEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'agentReasoning', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamNextAgentEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'nextAgent', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + streamActionEvent(chatId: string, data: any): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'action', + data: data + } + client.response.write('message:\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + + streamAbortEvent(chatId: string): void { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'abort', + data: '[DONE]' + } + client.response.write('message\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + + streamEndEvent(_: string) { + // placeholder for future use + } + + streamErrorEvent(chatId: string, msg: string) { + const client = this.clients[chatId] + if (client) { + const clientResponse = { + event: 'error', + data: msg + } + client.response.write('message\ndata:' + JSON.stringify(clientResponse) + '\n\n') + } + } + + streamMetadataEvent(chatId: string, apiResponse: any) { + const metadataJson: any = {} + if (apiResponse.chatId) { + metadataJson['chatId'] = apiResponse.chatId + } + if (apiResponse.chatMessageId) { + metadataJson['chatMessageId'] = apiResponse.chatMessageId + } + if (apiResponse.question) { + metadataJson['question'] = apiResponse.question + } + if (apiResponse.sessionId) { + metadataJson['sessionId'] = apiResponse.sessionId + } + if (apiResponse.memoryType) { + metadataJson['memoryType'] = apiResponse.memoryType + } + if (apiResponse.followUpPrompts) { + metadataJson['followUpPrompts'] = + typeof apiResponse.followUpPrompts === 'string' ? JSON.parse(apiResponse.followUpPrompts) : apiResponse.followUpPrompts + } + if (apiResponse.flowVariables) { + metadataJson['flowVariables'] = + typeof apiResponse.flowVariables === 'string' ? JSON.parse(apiResponse.flowVariables) : apiResponse.flowVariables + } + if (Object.keys(metadataJson).length > 0) { + this.streamCustomEvent(chatId, 'metadata', metadataJson) + } + } +} diff --git a/packages/server/src/utils/addChatMesage.ts b/packages/server/src/utils/addChatMesage.ts index 775168ec755..395a904ca67 100644 --- a/packages/server/src/utils/addChatMesage.ts +++ b/packages/server/src/utils/addChatMesage.ts @@ -1,3 +1,4 @@ +import { DataSource } from 'typeorm' import { ChatMessage } from '../database/entities/ChatMessage' import { IChatMessage } from '../Interface' import { getRunningExpressApp } from '../utils/getRunningExpressApp' @@ -6,8 +7,8 @@ import { getRunningExpressApp } from '../utils/getRunningExpressApp' * Method that add chat messages. * @param {Partial} chatMessage */ -export const utilAddChatMessage = async (chatMessage: Partial, userId?: string): Promise => { - const appServer = getRunningExpressApp() +export const utilAddChatMessage = async (chatMessage: Partial, appDataSource?: DataSource, userId?: string): Promise => { + const dataSource = appDataSource ?? getRunningExpressApp().AppDataSource const newChatMessage = new ChatMessage() Object.assign(newChatMessage, chatMessage) if (!newChatMessage.createdDate) { @@ -16,7 +17,7 @@ export const utilAddChatMessage = async (chatMessage: Partial, use if (userId) { newChatMessage.userId = userId } - const chatmessage = await appServer.AppDataSource.getRepository(ChatMessage).create(newChatMessage) - const dbResponse = await appServer.AppDataSource.getRepository(ChatMessage).save(chatmessage) + const chatmessage = await dataSource.getRepository(ChatMessage).create(newChatMessage) + const dbResponse = await dataSource.getRepository(ChatMessage).save(chatmessage) return dbResponse } diff --git a/packages/server/src/utils/buildAgentGraph.ts b/packages/server/src/utils/buildAgentGraph.ts index 1b4ddbcf928..979e4edcfdd 100644 --- a/packages/server/src/utils/buildAgentGraph.ts +++ b/packages/server/src/utils/buildAgentGraph.ts @@ -9,9 +9,9 @@ import { ISeqAgentsState, ISeqAgentNode, IUsedTool, - IDocument + IDocument, + IServerSideEventStreamer } from 'flowise-components' -import { Server } from 'socket.io' import { omit, cloneDeep, flatten, uniq } from 'lodash' import { StateGraph, END, START } from '@langchain/langgraph' import { Document } from '@langchain/core/documents' @@ -19,132 +19,79 @@ import { StatusCodes } from 'http-status-codes' import { v4 as uuidv4 } from 'uuid' import { StructuredTool } from '@langchain/core/tools' import { BaseMessage, HumanMessage, AIMessage, AIMessageChunk, ToolMessage } from '@langchain/core/messages' -import { - IChatFlow, - IComponentNodes, - IDepthQueue, - IReactFlowNode, - IReactFlowObject, - IReactFlowEdge, - IMessage, - IncomingInput, - IUser -} from '../Interface' -import { - buildFlow, - getStartingNodes, - getEndingNodes, - constructGraphs, - databaseEntities, - getSessionChatHistory, - getMemorySessionId, - clearSessionMemory -} from '../utils' -import { getRunningExpressApp } from './getRunningExpressApp' +import { IChatFlow, IComponentNodes, IDepthQueue, IReactFlowNode, IReactFlowEdge, IMessage, IncomingInput, IFlowConfig, IUser } from '../Interface' +import { databaseEntities, clearSessionMemory, getAPIOverrideConfig } from '../utils' import { replaceInputsWithConfig, resolveVariables } from '.' import { InternalFlowiseError } from '../errors/internalFlowiseError' import { getErrorMessage } from '../errors/utils' import logger from './logger' +import { Variable } from '../database/entities/Variable' +import { DataSource } from 'typeorm' +import { CachePool } from '../CachePool' /** * Build Agent Graph - * @param {IChatFlow} chatflow - * @param {string} chatId - * @param {string} sessionId - * @param {ICommonObject} incomingInput - * @param {boolean} isInternal - * @param {string} baseURL - * @param {Server} socketIO */ -export const buildAgentGraph = async ( - user: IUser, - chatflow: IChatFlow, - chatId: string, - sessionId: string, - incomingInput: IncomingInput, - isInternal: boolean, - baseURL?: string, - socketIO?: Server -): Promise => { +export const buildAgentGraph = async ({ + agentflow, + flowConfig, + incomingInput, + nodes, + edges, + initializedNodes, + endingNodeIds, + startingNodeIds, + depthQueue, + chatHistory, + uploadedFilesContent, + appDataSource, + componentNodes, + sseStreamer, + shouldStreamResponse, + cachePool, + baseURL, + signal, + user +}: { + agentflow: IChatFlow + flowConfig: IFlowConfig + incomingInput: IncomingInput + nodes: IReactFlowNode[] + edges: IReactFlowEdge[] + initializedNodes: IReactFlowNode[] + endingNodeIds: string[] + startingNodeIds: string[] + depthQueue: IDepthQueue + chatHistory: IMessage[] + uploadedFilesContent: string + appDataSource: DataSource + componentNodes: IComponentNodes + sseStreamer: IServerSideEventStreamer + shouldStreamResponse: boolean + cachePool: CachePool + baseURL: string + signal?: AbortController, + user: IUser +}): Promise => { try { - const appServer = getRunningExpressApp() - const chatflowid = chatflow.id - - /*** Get chatflows and prepare data ***/ - const flowData = chatflow.flowData - const parsedFlowData: IReactFlowObject = JSON.parse(flowData) - const nodes = parsedFlowData.nodes - const edges = parsedFlowData.edges - - /*** Get Ending Node with Directed Graph ***/ - const { graph, nodeDependencies } = constructGraphs(nodes, edges) - const directedGraph = graph - - const endingNodes = getEndingNodes(nodeDependencies, directedGraph, nodes) - - /*** Get Starting Nodes with Reversed Graph ***/ - const constructedObj = constructGraphs(nodes, edges, { isReversed: true }) - const nonDirectedGraph = constructedObj.graph - let startingNodeIds: string[] = [] - let depthQueue: IDepthQueue = {} - const endingNodeIds = endingNodes.map((n) => n.id) - for (const endingNodeId of endingNodeIds) { - const resx = getStartingNodes(nonDirectedGraph, endingNodeId) - startingNodeIds.push(...resx.startingNodeIds) - depthQueue = Object.assign(depthQueue, resx.depthQueue) - } - startingNodeIds = [...new Set(startingNodeIds)] - - /*** Get Memory Node for Chat History ***/ - let chatHistory: IMessage[] = [] - const memoryNode = nodes.find((node) => node.data.name === 'agentMemory') - if (memoryNode) { - chatHistory = await getSessionChatHistory( - chatflowid, - getMemorySessionId(memoryNode, incomingInput, chatId, isInternal), - memoryNode, - appServer.nodesPool.componentNodes, - appServer.AppDataSource, - databaseEntities, - logger, - incomingInput.history - ) - } - - // Initialize nodes like ChatModels, Tools, etc. - const reactFlowNodes: IReactFlowNode[] = await buildFlow({ - user, - startingNodeIds, - reactFlowNodes: nodes, - reactFlowEdges: edges, - graph, - depthQueue, - componentNodes: appServer.nodesPool.componentNodes, - question: incomingInput.question, - chatHistory, - chatId, - sessionId, - chatflowid, - appDataSource: appServer.AppDataSource, - overrideConfig: incomingInput?.overrideConfig, - cachePool: appServer.cachePool, - isUpsert: false, - uploads: incomingInput.uploads, - baseURL - }) + const chatflowid = flowConfig.chatflowid + const chatId = flowConfig.chatId + const sessionId = flowConfig.sessionId + const analytic = agentflow.analytic + const uploads = incomingInput.uploads const options = { chatId, sessionId, chatflowid, logger, - analytic: chatflow.analytic, - appDataSource: appServer.AppDataSource, - databaseEntities: databaseEntities, - cachePool: appServer.cachePool, - uploads: incomingInput.uploads, + analytic, + appDataSource, + databaseEntities, + cachePool, + uploads, baseURL, - signal: new AbortController() + signal: signal ?? new AbortController() } let streamResults @@ -157,10 +104,11 @@ export const buildAgentGraph = async ( let finalAction: IAction = {} let totalSourceDocuments: IDocument[] = [] let totalUsedTools: IUsedTool[] = [] + let totalArtifacts: ICommonObject[] = [] - const workerNodes = reactFlowNodes.filter((node) => node.data.name === 'worker') - const supervisorNodes = reactFlowNodes.filter((node) => node.data.name === 'supervisor') - const seqAgentNodes = reactFlowNodes.filter((node) => node.data.category === 'Sequential Agents') + const workerNodes = initializedNodes.filter((node) => node.data.name === 'worker') + const supervisorNodes = initializedNodes.filter((node) => node.data.name === 'supervisor') + const seqAgentNodes = initializedNodes.filter((node) => node.data.category === 'Sequential Agents') const mapNameToLabel: Record = {} @@ -175,39 +123,43 @@ export const buildAgentGraph = async ( try { if (!seqAgentNodes.length) { - streamResults = await compileMultiAgentsGraph( + streamResults = await compileMultiAgentsGraph({ user, - chatflow, + agentflow, + appDataSource, mapNameToLabel, - reactFlowNodes, - endingNodeIds, - appServer.nodesPool.componentNodes, + reactFlowNodes: initializedNodes, + workerNodeIds: endingNodeIds, + componentNodes, options, startingNodeIds, - incomingInput.question, - incomingInput.history, + question: incomingInput.question, + prependHistoryMessages: incomingInput.history, chatHistory, - incomingInput?.overrideConfig, - sessionId || chatId, - seqAgentNodes.some((node) => node.data.inputs?.summarization) - ) + overrideConfig: incomingInput?.overrideConfig, + threadId: sessionId || chatId, + summarization: seqAgentNodes.some((node) => node.data.inputs?.summarization), + uploadedFilesContent + }) } else { isSequential = true - streamResults = await compileSeqAgentsGraph( + streamResults = await compileSeqAgentsGraph({ user, depthQueue, - chatflow, - reactFlowNodes, - edges, - appServer.nodesPool.componentNodes, + agentflow, + appDataSource, + reactFlowNodes: initializedNodes, + reactFlowEdges: edges, + componentNodes, options, - incomingInput.question, - incomingInput.history, + question: incomingInput.question, + prependHistoryMessages: incomingInput.history, chatHistory, - incomingInput?.overrideConfig, - sessionId || chatId, - incomingInput.action - ) + overrideConfig: incomingInput?.overrideConfig, + threadId: sessionId || chatId, + action: incomingInput.action, + uploadedFilesContent + }) } if (streamResults) { @@ -226,6 +178,9 @@ export const buildAgentGraph = async ( const sourceDocuments = output[agentName]?.messages ? output[agentName].messages.map((msg: BaseMessage) => msg.additional_kwargs?.sourceDocuments) : [] + const artifacts = output[agentName]?.messages + ? output[agentName].messages.map((msg: BaseMessage) => msg.additional_kwargs?.artifacts) + : [] const messages = output[agentName]?.messages ? output[agentName].messages.map((msg: BaseMessage) => (typeof msg === 'string' ? msg : msg.content)) : [] @@ -245,6 +200,11 @@ export const buildAgentGraph = async ( if (cleanedDocs.length) totalSourceDocuments.push(...cleanedDocs) } + if (artifacts && artifacts.length) { + const cleanedArtifacts = artifacts.filter((artifact: ICommonObject) => artifact) + if (cleanedArtifacts.length) totalArtifacts.push(...cleanedArtifacts) + } + /* * Check if the next node is a condition node, if yes, then add the agent reasoning of the condition node */ @@ -254,7 +214,7 @@ export const buildAgentGraph = async ( ) inputEdges.forEach((edge) => { - const parentNode = reactFlowNodes.find((nd) => nd.id === edge.source) + const parentNode = initializedNodes.find((nd) => nd.id === edge.source) if (parentNode) { if (parentNode.data.name.includes('seqCondition')) { const newMessages = messages.slice(0, -1) @@ -278,6 +238,7 @@ export const buildAgentGraph = async ( instructions: output[agentName]?.instructions, usedTools: flatten(usedTools) as IUsedTool[], sourceDocuments: flatten(sourceDocuments) as Document[], + artifacts: flatten(artifacts) as ICommonObject[], state, nodeName: isSequential ? mapNameToLabel[agentName].nodeName : undefined, nodeId @@ -292,28 +253,31 @@ export const buildAgentGraph = async ( ? output[agentName].messages[output[agentName].messages.length - 1].content : lastWorkerResult - if (socketIO && incomingInput.socketIOClientId) { + if (shouldStreamResponse) { if (!isStreamingStarted) { isStreamingStarted = true - socketIO.to(incomingInput.socketIOClientId).emit('start', agentReasoning) + if (sseStreamer) { + sseStreamer.streamStartEvent(chatId, agentReasoning) + } } - socketIO.to(incomingInput.socketIOClientId).emit('agentReasoning', agentReasoning) + if (sseStreamer) { + sseStreamer.streamAgentReasoningEvent(chatId, agentReasoning) + } // Send loading next agent indicator if (reasoning.next && reasoning.next !== 'FINISH' && reasoning.next !== 'END') { - socketIO - .to(incomingInput.socketIOClientId) - .emit('nextAgent', mapNameToLabel[reasoning.next].label || reasoning.next) + if (sseStreamer) { + sseStreamer.streamNextAgentEvent(chatId, mapNameToLabel[reasoning.next]?.label || reasoning.next) + } } } } } else { finalResult = output.__end__.messages.length ? output.__end__.messages.pop()?.content : '' if (Array.isArray(finalResult)) finalResult = output.__end__.instructions - - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('token', finalResult) + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamTokenEvent(chatId, finalResult) } } } @@ -326,9 +290,8 @@ export const buildAgentGraph = async ( if (!isSequential && !finalResult) { if (lastWorkerResult) finalResult = lastWorkerResult else if (finalSummarization) finalResult = finalSummarization - - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('token', finalResult) + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamTokenEvent(chatId, finalResult) } } @@ -339,11 +302,10 @@ export const buildAgentGraph = async ( if (isSequential && !finalResult && agentReasoning.length) { const lastMessages = agentReasoning[agentReasoning.length - 1].messages const lastAgentReasoningMessage = lastMessages[lastMessages.length - 1] - // If last message is an AI Message with tool calls, that means the last node was interrupted if (lastMessageRaw.tool_calls && lastMessageRaw.tool_calls.length > 0) { // The last node that got interrupted - const node = reactFlowNodes.find((node) => node.id === lastMessageRaw.additional_kwargs.nodeId) + const node = initializedNodes.find((node) => node.id === lastMessageRaw.additional_kwargs.nodeId) // Find the next tool node that is connected to the interrupted node, to get the approve/reject button text const tooNodeId = edges.find( @@ -351,11 +313,15 @@ export const buildAgentGraph = async ( edge.target.includes('seqToolNode') && edge.source === (lastMessageRaw.additional_kwargs && lastMessageRaw.additional_kwargs.nodeId) )?.target - const connectedToolNode = reactFlowNodes.find((node) => node.id === tooNodeId) + const connectedToolNode = initializedNodes.find((node) => node.id === tooNodeId) // Map raw tool calls to used tools, to be shown on interrupted message const mappedToolCalls = lastMessageRaw.tool_calls.map((toolCall) => { - return { tool: toolCall.name, toolInput: toolCall.args, toolOutput: '' } + return { + tool: toolCall.name, + toolInput: toolCall.args, + toolOutput: '' + } }) // Emit the interrupt message to the client @@ -376,49 +342,56 @@ export const buildAgentGraph = async ( } finalAction = { id: uuidv4(), - mapping: { approve: approveButtonText, reject: rejectButtonText, toolCalls: lastMessageRaw.tool_calls }, + mapping: { + approve: approveButtonText, + reject: rejectButtonText, + toolCalls: lastMessageRaw.tool_calls + }, elements: [ { type: 'approve-button', label: approveButtonText }, { type: 'reject-button', label: rejectButtonText } ] } - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('token', finalResult) - socketIO.to(incomingInput.socketIOClientId).emit('action', finalAction) + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamTokenEvent(chatId, finalResult) + sseStreamer.streamActionEvent(chatId, finalAction) } } totalUsedTools.push(...mappedToolCalls) } else if (lastAgentReasoningMessage) { finalResult = lastAgentReasoningMessage - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('token', finalResult) + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamTokenEvent(chatId, finalResult) } } } totalSourceDocuments = uniq(flatten(totalSourceDocuments)) totalUsedTools = uniq(flatten(totalUsedTools)) + totalArtifacts = uniq(flatten(totalArtifacts)) - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('usedTools', totalUsedTools) - socketIO.to(incomingInput.socketIOClientId).emit('sourceDocuments', totalSourceDocuments) - socketIO.to(incomingInput.socketIOClientId).emit('end') + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamUsedToolsEvent(chatId, totalUsedTools) + sseStreamer.streamSourceDocumentsEvent(chatId, totalSourceDocuments) + sseStreamer.streamArtifactsEvent(chatId, totalArtifacts) + sseStreamer.streamEndEvent(chatId) } return { finalResult, finalAction, sourceDocuments: totalSourceDocuments, + artifacts: totalArtifacts, usedTools: totalUsedTools, agentReasoning } } } catch (e) { // clear agent memory because checkpoints were saved during runtime - await clearSessionMemory(nodes, appServer.nodesPool.componentNodes, chatId, appServer.AppDataSource, sessionId) + await clearSessionMemory(nodes, componentNodes, chatId, appDataSource, sessionId) if (getErrorMessage(e).includes('Aborted')) { - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('abort') + if (shouldStreamResponse && sseStreamer) { + sseStreamer.streamAbortEvent(chatId) } return { finalResult, agentReasoning } } @@ -431,37 +404,45 @@ export const buildAgentGraph = async ( } } -/** - * Compile Multi Agents Graph - * @param {IChatFlow} chatflow - * @param {Record} mapNameToLabel - * @param {IReactFlowNode[]} reactflowNodes - * @param {string[]} workerNodeIds - * @param {IComponentNodes} componentNodes - * @param {ICommonObject} options - * @param {string[]} startingNodeIds - * @param {string} question - * @param {ICommonObject} overrideConfig - * @param {string} threadId - * @param {boolean} summarization - */ -const compileMultiAgentsGraph = async ( - user: IUser, - chatflow: IChatFlow, - mapNameToLabel: Record, - reactflowNodes: IReactFlowNode[] = [], - workerNodeIds: string[], - componentNodes: IComponentNodes, - options: ICommonObject, - startingNodeIds: string[], - question: string, - prependHistoryMessages: IMessage[] = [], - chatHistory: IMessage[] = [], - overrideConfig?: ICommonObject, - threadId?: string, +type MultiAgentsGraphParams = { + user: IUser + agentflow: IChatFlow + appDataSource: DataSource + mapNameToLabel: Record + reactFlowNodes: IReactFlowNode[] + workerNodeIds: string[] + componentNodes: IComponentNodes + options: ICommonObject + startingNodeIds: string[] + question: string + prependHistoryMessages?: IMessage[] + chatHistory?: IMessage[] + overrideConfig?: ICommonObject + threadId?: string summarization?: boolean -) => { - const appServer = getRunningExpressApp() + uploadedFilesContent?: string +} + +const compileMultiAgentsGraph = async (params: MultiAgentsGraphParams) => { + const { + agentflow, + appDataSource, + mapNameToLabel, + reactFlowNodes, + workerNodeIds, + componentNodes, + options, + prependHistoryMessages = [], + chatHistory = [], + overrideConfig = {}, + threadId, + summarization = false, + uploadedFilesContent, + user + } = params + + let question = params.question + const channels: ITeamState = { messages: { value: (x: BaseMessage[], y: BaseMessage[]) => x.concat(y), @@ -479,7 +460,11 @@ const compileMultiAgentsGraph = async ( channels }) - const workerNodes = reactflowNodes.filter((node) => workerNodeIds.includes(node.data.id)) + const workerNodes = reactFlowNodes.filter((node) => workerNodeIds.includes(node.data.id)) + + /*** Get API Config ***/ + const availableVariables = await appDataSource.getRepository(Variable).find({ where: { userId: user.id } }) + const { nodeOverrides, variableOverrides, apiOverrideStatus } = getAPIOverrideConfig(agentflow) let supervisorWorkers: { [key: string]: IMultiAgentNode[] } = {} @@ -490,15 +475,18 @@ const compileMultiAgentsGraph = async ( const newNodeInstance = new nodeModule.nodeClass() let flowNodeData = cloneDeep(workerNode.data) - if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig) + if (overrideConfig && apiOverrideStatus) + flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig, nodeOverrides, variableOverrides) flowNodeData = await resolveVariables( user, - appServer.AppDataSource, flowNodeData, - reactflowNodes, + reactFlowNodes, question, chatHistory, - overrideConfig + overrideConfig, + uploadedFilesContent, + availableVariables, + variableOverrides ) try { @@ -520,7 +508,7 @@ const compileMultiAgentsGraph = async ( // Init supervisor nodes for (const supervisor in supervisorWorkers) { const supervisorInputLabel = mapNameToLabel[supervisor].label - const supervisorNode = reactflowNodes.find((node) => supervisorInputLabel === node.data.inputs?.supervisorName) + const supervisorNode = reactFlowNodes.find((node) => supervisorInputLabel === node.data.inputs?.supervisorName) if (!supervisorNode) continue const nodeInstanceFilePath = componentNodes[supervisorNode.data.name].filePath as string @@ -529,15 +517,18 @@ const compileMultiAgentsGraph = async ( let flowNodeData = cloneDeep(supervisorNode.data) - if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig) + if (overrideConfig && apiOverrideStatus) + flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig, nodeOverrides, variableOverrides) flowNodeData = await resolveVariables( user, - appServer.AppDataSource, flowNodeData, - reactflowNodes, + reactFlowNodes, question, chatHistory, - overrideConfig + overrideConfig, + uploadedFilesContent, + availableVariables, + variableOverrides ) if (flowNodeData.inputs) flowNodeData.inputs.workerNodes = supervisorWorkers[supervisor] @@ -576,15 +567,7 @@ const compileMultiAgentsGraph = async ( //@ts-ignore workflowGraph.addEdge(START, supervisorResult.name) - - // Add agentflow to pool ;(workflowGraph as any).signal = options.signal - appServer.chatflowPool.add( - `${chatflow.id}_${options.chatId}`, - workflowGraph as any, - reactflowNodes.filter((node) => startingNodeIds.includes(node.id)), - overrideConfig - ) // Get memory let memory = supervisorResult?.checkpointMemory @@ -600,19 +583,32 @@ const compileMultiAgentsGraph = async ( if (prependHistoryMessages.length === chatHistory.length) { for (const message of prependHistoryMessages) { if (message.role === 'apiMessage' || message.type === 'apiMessage') { - prependMessages.push(new AIMessage({ content: message.message || message.content || '' })) + prependMessages.push( + new AIMessage({ + content: message.message || message.content || '' + }) + ) } else if (message.role === 'userMessage' || message.type === 'userMessage') { - prependMessages.push(new HumanMessage({ content: message.message || message.content || '' })) + prependMessages.push( + new HumanMessage({ + content: message.message || message.content || '' + }) + ) } } } // Return stream result as we should only have 1 supervisor + const finalQuestion = uploadedFilesContent ? `${uploadedFilesContent}\n\n${question}` : question return await graph.stream( { - messages: [...prependMessages, new HumanMessage({ content: question })] + messages: [...prependMessages, new HumanMessage({ content: finalQuestion })] }, - { recursionLimit: supervisorResult?.recursionLimit ?? 100, callbacks: [loggerHandler, ...callbacks], configurable: config } + { + recursionLimit: supervisorResult?.recursionLimit ?? 100, + callbacks: [loggerHandler, ...callbacks], + configurable: config + } ) } catch (e) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error initialize supervisor nodes - ${getErrorMessage(e)}`) @@ -620,36 +616,43 @@ const compileMultiAgentsGraph = async ( } } -/** - * Compile Seq Agents Graph - * @param {IDepthQueue} depthQueue - * @param {IChatFlow} chatflow - * @param {IReactFlowNode[]} reactflowNodes - * @param {IReactFlowEdge[]} reactflowEdges - * @param {IComponentNodes} componentNodes - * @param {ICommonObject} options - * @param {string} question - * @param {IMessage[]} chatHistory - * @param {ICommonObject} overrideConfig - * @param {string} threadId - * @param {IAction} action - */ -const compileSeqAgentsGraph = async ( - user: IUser, - depthQueue: IDepthQueue, - chatflow: IChatFlow, - reactflowNodes: IReactFlowNode[] = [], - reactflowEdges: IReactFlowEdge[] = [], - componentNodes: IComponentNodes, - options: ICommonObject, - question: string, - prependHistoryMessages: IMessage[] = [], - chatHistory: IMessage[] = [], - overrideConfig?: ICommonObject, - threadId?: string, +type SeqAgentsGraphParams = { + user:IUser + depthQueue: IDepthQueue + agentflow: IChatFlow + appDataSource: DataSource + reactFlowNodes: IReactFlowNode[] + reactFlowEdges: IReactFlowEdge[] + componentNodes: IComponentNodes + options: ICommonObject + question: string + prependHistoryMessages?: IMessage[] + chatHistory?: IMessage[] + overrideConfig?: ICommonObject + threadId?: string action?: IAction -) => { - const appServer = getRunningExpressApp() + uploadedFilesContent?: string +} + +const compileSeqAgentsGraph = async (params: SeqAgentsGraphParams) => { + const { + depthQueue, + agentflow, + appDataSource, + reactFlowNodes, + reactFlowEdges, + componentNodes, + options, + prependHistoryMessages = [], + chatHistory = [], + overrideConfig = {}, + threadId, + action, + uploadedFilesContent, + user + } = params + + let question = params.question let channels: ISeqAgentsState = { messages: { @@ -659,7 +662,7 @@ const compileSeqAgentsGraph = async ( } // Get state - const seqStateNode = reactflowNodes.find((node: IReactFlowNode) => node.data.name === 'seqState') + const seqStateNode = reactFlowNodes.find((node: IReactFlowNode) => node.data.name === 'seqState') if (seqStateNode) { channels = { ...seqStateNode.data.instance.node, @@ -673,13 +676,13 @@ const compileSeqAgentsGraph = async ( }) /*** Validate Graph ***/ - const startAgentNodes: IReactFlowNode[] = reactflowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqStart') + const startAgentNodes: IReactFlowNode[] = reactFlowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqStart') if (!startAgentNodes.length) throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, 'Start node not found') if (startAgentNodes.length > 1) throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, 'Graph should have only one start node') - const endAgentNodes: IReactFlowNode[] = reactflowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqEnd') - const loopNodes: IReactFlowNode[] = reactflowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqLoop') + const endAgentNodes: IReactFlowNode[] = reactFlowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqEnd') + const loopNodes: IReactFlowNode[] = reactFlowNodes.filter((node: IReactFlowNode) => node.data.name === 'seqLoop') if (!endAgentNodes.length && !loopNodes.length) { throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, 'Graph should have at least one End/Loop node') } @@ -692,21 +695,28 @@ const compileSeqAgentsGraph = async ( let bindModel: Record = {} let interruptToolNodeNames = [] + /*** Get API Config ***/ + const availableVariables = await appDataSource.getRepository(Variable).find({ where: { userId: user.id } }) + const { nodeOverrides, variableOverrides, apiOverrideStatus } = getAPIOverrideConfig(agentflow) + const initiateNode = async (node: IReactFlowNode) => { const nodeInstanceFilePath = componentNodes[node.data.name].filePath as string const nodeModule = await import(nodeInstanceFilePath) const newNodeInstance = new nodeModule.nodeClass() flowNodeData = cloneDeep(node.data) - if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig) + if (overrideConfig && apiOverrideStatus) + flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig, nodeOverrides, variableOverrides) flowNodeData = await resolveVariables( user, - appServer.AppDataSource, flowNodeData, - reactflowNodes, + reactFlowNodes, question, chatHistory, - overrideConfig + overrideConfig, + uploadedFilesContent, + availableVariables, + variableOverrides ) const seqAgentNode: ISeqAgentNode = await newNodeInstance.init(flowNodeData, question, options) @@ -723,16 +733,16 @@ const compileSeqAgentsGraph = async ( * 2.) With the interruptedRouteMapping object, avoid adding conditional edges to the Interrupted Agent for the nodes that are already interrupted by tools. It will be separately added from the function - agentInterruptToolFunc */ const processInterruptedRouteMapping = (conditionNodeId: string) => { - const conditionEdges = reactflowEdges.filter((edge) => edge.source === conditionNodeId) ?? [] + const conditionEdges = reactFlowEdges.filter((edge) => edge.source === conditionNodeId) ?? [] for (const conditionEdge of conditionEdges) { const nextNodeId = conditionEdge.target const conditionNodeOutputAnchorId = conditionEdge.sourceHandle - const nextNode = reactflowNodes.find((node) => node.id === nextNodeId) + const nextNode = reactFlowNodes.find((node) => node.id === nextNodeId) if (!nextNode) continue - const conditionNode = reactflowNodes.find((node) => node.id === conditionNodeId) + const conditionNode = reactFlowNodes.find((node) => node.id === conditionNodeId) if (!conditionNode) continue const outputAnchors = conditionNode?.data.outputAnchors @@ -763,13 +773,13 @@ const compileSeqAgentsGraph = async ( * } */ const prepareConditionalEdges = (nodeId: string, nodeInstance: ISeqAgentNode) => { - const conditionEdges = reactflowEdges.filter((edge) => edge.target === nodeId && edge.source.includes('seqCondition')) ?? [] + const conditionEdges = reactFlowEdges.filter((edge) => edge.target === nodeId && edge.source.includes('seqCondition')) ?? [] for (const conditionEdge of conditionEdges) { const conditionNodeId = conditionEdge.source const conditionNodeOutputAnchorId = conditionEdge.sourceHandle - const conditionNode = reactflowNodes.find((node) => node.id === conditionNodeId) + const conditionNode = reactFlowNodes.find((node) => node.id === conditionNodeId) const outputAnchors = conditionNode?.data.outputAnchors if (!outputAnchors || !outputAnchors.length || !outputAnchors[0].options) continue @@ -782,7 +792,10 @@ const compileSeqAgentsGraph = async ( if (Object.prototype.hasOwnProperty.call(conditionalEdges, conditionNodeId)) { conditionalEdges[conditionNodeId] = { ...conditionalEdges[conditionNodeId], - nodes: { ...conditionalEdges[conditionNodeId].nodes, [conditionOutputAnchorLabel]: nodeInstance.name } + nodes: { + ...conditionalEdges[conditionNodeId].nodes, + [conditionOutputAnchorLabel]: nodeInstance.name + } } } else { conditionalEdges[conditionNodeId] = { @@ -803,7 +816,10 @@ const compileSeqAgentsGraph = async ( if (Object.prototype.hasOwnProperty.call(conditionalToolNodes, predecessorAgent.id)) { const toolNodes = conditionalToolNodes[predecessorAgent.id].toolNodes toolNodes.push(toolNodeInstance) - conditionalToolNodes[predecessorAgent.id] = { source: predecessorAgent, toolNodes } + conditionalToolNodes[predecessorAgent.id] = { + source: predecessorAgent, + toolNodes + } } else { conditionalToolNodes[predecessorAgent.id] = { source: predecessorAgent, @@ -820,11 +836,11 @@ const compileSeqAgentsGraph = async ( /*** Start processing every Agent nodes ***/ for (const agentNodeId of getSortedDepthNodes(depthQueue)) { - const agentNode = reactflowNodes.find((node) => node.id === agentNodeId) + const agentNode = reactFlowNodes.find((node) => node.id === agentNodeId) if (!agentNode) continue - const eligibleSeqNodes = ['seqAgent', 'seqEnd', 'seqLoop', 'seqToolNode', 'seqLLMNode'] - const nodesToAdd = ['seqAgent', 'seqToolNode', 'seqLLMNode'] + const eligibleSeqNodes = ['seqAgent', 'seqEnd', 'seqLoop', 'seqToolNode', 'seqLLMNode', 'seqCustomFunction', 'seqExecuteFlow'] + const nodesToAdd = ['seqAgent', 'seqToolNode', 'seqLLMNode', 'seqCustomFunction', 'seqExecuteFlow'] if (eligibleSeqNodes.includes(agentNode.data.name)) { try { @@ -842,8 +858,8 @@ const compileSeqAgentsGraph = async ( if (agentInstance.type === 'agent' && agentNode.data.inputs?.interrupt) { interruptToolNodeNames.push(agentInstance.agentInterruptToolNode.name) - const nextNodeId = reactflowEdges.find((edge) => edge.source === agentNode.id)?.target - const nextNode = reactflowNodes.find((node) => node.id === nextNodeId) + const nextNodeId = reactFlowEdges.find((edge) => edge.source === agentNode.id)?.target + const nextNode = reactFlowNodes.find((node) => node.id === nextNodeId) let nextNodeSeqAgentName = '' if (nextNodeId && nextNode) { @@ -933,11 +949,11 @@ const compileSeqAgentsGraph = async ( /*** Add conditional edges to graph for condition nodes ***/ for (const conditionNodeId in conditionalEdges) { - const startConditionEdges = reactflowEdges.filter((edge) => edge.target === conditionNodeId) + const startConditionEdges = reactFlowEdges.filter((edge) => edge.target === conditionNodeId) if (!startConditionEdges.length) continue for (const startConditionEdge of startConditionEdges) { - const startConditionNode = reactflowNodes.find((node) => node.id === startConditionEdge.source) + const startConditionNode = reactFlowNodes.find((node) => node.id === startConditionEdge.source) if (!startConditionNode) continue seqGraph.addConditionalEdges( startConditionNode.data.instance.name, @@ -979,21 +995,17 @@ const compileSeqAgentsGraph = async ( ) } - /*** Add agentflow to pool ***/ ;(seqGraph as any).signal = options.signal - appServer.chatflowPool.add( - `${chatflow.id}_${options.chatId}`, - seqGraph as any, - reactflowNodes.filter((node) => startAgentNodes.map((nd) => nd.id).includes(node.id)), - overrideConfig - ) /*** Get memory ***/ - const startNode = reactflowNodes.find((node: IReactFlowNode) => node.data.name === 'seqStart') + const startNode = reactFlowNodes.find((node: IReactFlowNode) => node.data.name === 'seqStart') let memory = startNode?.data.instance?.checkpointMemory try { - const graph = seqGraph.compile({ checkpointer: memory, interruptBefore: interruptToolNodeNames as any }) + const graph = seqGraph.compile({ + checkpointer: memory, + interruptBefore: interruptToolNodeNames as any + }) const loggerHandler = new ConsoleCallbackHandler(logger) const callbacks = await additionalCallbacks(flowNodeData as any, options) @@ -1004,15 +1016,24 @@ const compileSeqAgentsGraph = async ( if (prependHistoryMessages.length === chatHistory.length) { for (const message of prependHistoryMessages) { if (message.role === 'apiMessage' || message.type === 'apiMessage') { - prependMessages.push(new AIMessage({ content: message.message || message.content || '' })) + prependMessages.push( + new AIMessage({ + content: message.message || message.content || '' + }) + ) } else if (message.role === 'userMessage' || message.type === 'userMessage') { - prependMessages.push(new HumanMessage({ content: message.message || message.content || '' })) + prependMessages.push( + new HumanMessage({ + content: message.message || message.content || '' + }) + ) } } } + const finalQuestion = uploadedFilesContent ? `${uploadedFilesContent}\n\n${question}` : question let humanMsg: { messages: HumanMessage[] | ToolMessage[] } | null = { - messages: [...prependMessages, new HumanMessage({ content: question })] + messages: [...prependMessages, new HumanMessage({ content: finalQuestion })] } if (action && action.mapping && question === action.mapping.approve) { @@ -1029,7 +1050,10 @@ const compileSeqAgentsGraph = async ( }) } } - return await graph.stream(humanMsg, { callbacks: [loggerHandler, ...callbacks], configurable: config }) + return await graph.stream(humanMsg, { + callbacks: [loggerHandler, ...callbacks], + configurable: config + }) } catch (e) { logger.error('Error compile graph', e) throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, `Error compile graph - ${getErrorMessage(e)}`) diff --git a/packages/server/src/utils/buildChatflow.ts b/packages/server/src/utils/buildChatflow.ts index bf156fc72b1..df360f833c7 100644 --- a/packages/server/src/utils/buildChatflow.ts +++ b/packages/server/src/utils/buildChatflow.ts @@ -1,5 +1,21 @@ import { Request } from 'express' -import { IFileUpload, convertSpeechToText, ICommonObject, addSingleFileToStorage, addArrayFilesToStorage } from 'flowise-components' +import * as path from 'path' +import { DataSource } from 'typeorm' +import { v4 as uuidv4 } from 'uuid' +import { omit } from 'lodash' +import { + IFileUpload, + convertSpeechToText, + ICommonObject, + addSingleFileToStorage, + generateFollowUpPrompts, + IAction, + addArrayFilesToStorage, + mapMimeTypeToInputField, + mapExtToInputField, + getFileFromUpload, + removeSpecificFileFromUpload +} from 'flowise-components' import { StatusCodes } from 'http-status-codes' import { IncomingInput, @@ -8,18 +24,24 @@ import { IReactFlowObject, IReactFlowNode, IDepthQueue, - chatType, + ChatType, IChatMessage, - IChatFlow, - IReactFlowEdge, - IUser + IUser, + IExecuteFlowParams, + IFlowConfig, + IComponentNodes, + IVariable, + INodeOverrides, + IVariableOverride, + MODE } from '../Interface' import { InternalFlowiseError } from '../errors/internalFlowiseError' +import { databaseEntities } from '.' import { ChatFlow } from '../database/entities/ChatFlow' -import { Server } from 'socket.io' +import { ChatMessage } from '../database/entities/ChatMessage' +import { Variable } from '../database/entities/Variable' import { getRunningExpressApp } from '../utils/getRunningExpressApp' import { - mapMimeTypeToInputField, isFlowValidForStream, buildFlow, getTelemetryFlowObj, @@ -29,597 +51,884 @@ import { findMemoryNode, replaceInputsWithConfig, getStartingNodes, - isStartNodeDependOnInput, getMemorySessionId, - isSameOverrideConfig, getEndingNodes, - constructGraphs + constructGraphs, + getAPIOverrideConfig } from '../utils' -import { utilValidateKey } from './validateKey' -import { databaseEntities } from '.' -import { v4 as uuidv4 } from 'uuid' -import { omit } from 'lodash' -import * as fs from 'fs' +import { validateChatflowAPIKey } from './validateKey' import logger from './logger' import { utilAddChatMessage } from './addChatMesage' import { buildAgentGraph } from './buildAgentGraph' import { getErrorMessage } from '../errors/utils' -import { ChatMessage } from '../database/entities/ChatMessage' -import { IAction } from 'flowise-components' -import checkOwnership from './checkOwnership' +import { FLOWISE_METRIC_COUNTERS, FLOWISE_COUNTER_STATUS, IMetricsProvider } from '../Interface.Metrics' +import { OMIT_QUEUE_JOB_DATA } from './constants' import PlansService from '../services/plans' -import { Chat } from '../database/entities/Chat' -import { validateNodeConnections } from './validateNodeConnections' -/** - * Build Chatflow - * @param {Request} req - * @param {Server} socketIO - * @param {boolean} isInternal +/* + * Initialize the ending node to be executed */ -export const utilBuildChatflow = async (req: Request, socketIO?: Server, isInternal: boolean = false): Promise => { - try { - const appServer = getRunningExpressApp() - const chatflowid = req.params.id - - const httpProtocol = req.get('x-forwarded-proto') || req.protocol - const baseURL = `${httpProtocol}://${req.get('host')}` +const initEndingNode = async ({ + user, + endingNodeIds, + componentNodes, + reactFlowNodes, + incomingInput, + flowConfig, + uploadedFilesContent, + availableVariables, + apiOverrideStatus, + nodeOverrides, + variableOverrides +}: { + user: IUser + endingNodeIds: string[] + componentNodes: IComponentNodes + reactFlowNodes: IReactFlowNode[] + incomingInput: IncomingInput + flowConfig: IFlowConfig + uploadedFilesContent: string + availableVariables: IVariable[] + apiOverrideStatus: boolean + nodeOverrides: INodeOverrides + variableOverrides: IVariableOverride[] +}): Promise<{ endingNodeData: INodeData; endingNodeInstance: any }> => { + const question = incomingInput.question + const chatHistory = flowConfig.chatHistory + const sessionId = flowConfig.sessionId + + const nodeToExecute = + endingNodeIds.length === 1 + ? reactFlowNodes.find((node: IReactFlowNode) => endingNodeIds[0] === node.id) + : reactFlowNodes[reactFlowNodes.length - 1] + + if (!nodeToExecute) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Node not found`) + } - let incomingInput: IncomingInput = req.body - let nodeToExecuteData: INodeData - const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ - id: chatflowid - }) - if (!chatflow) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) - } + if (incomingInput.overrideConfig && apiOverrideStatus) { + nodeToExecute.data = replaceInputsWithConfig(nodeToExecute.data, incomingInput.overrideConfig, nodeOverrides, variableOverrides) + } - const chatId = incomingInput.chatId ?? incomingInput.overrideConfig?.sessionId ?? uuidv4() - const userMessageDateTime = new Date() + const reactFlowNodeData: INodeData = await resolveVariables( + user, + nodeToExecute.data, + reactFlowNodes, + question, + chatHistory, + flowConfig, + uploadedFilesContent, + availableVariables, + variableOverrides + ) + + logger.debug(`[server]: Running ${reactFlowNodeData.label} (${reactFlowNodeData.id})`) + + const nodeInstanceFilePath = componentNodes[reactFlowNodeData.name].filePath as string + const nodeModule = await import(nodeInstanceFilePath) + const nodeInstance = new nodeModule.nodeClass({ sessionId }) + + return { endingNodeData: reactFlowNodeData, endingNodeInstance: nodeInstance } +} - const chatRepository = appServer.AppDataSource.getRepository(Chat) +/* + * Get chat history from memory node + * This is used to fill in the {{chat_history}} variable if it is used in the Format Prompt Value + */ +const getChatHistory = async ({ + endingNodes, + nodes, + chatflowid, + appDataSource, + componentNodes, + incomingInput, + chatId, + isInternal, + isAgentFlow +}: { + endingNodes: IReactFlowNode[] + nodes: IReactFlowNode[] + chatflowid: string + appDataSource: DataSource + componentNodes: IComponentNodes + incomingInput: IncomingInput + chatId: string + isInternal: boolean + isAgentFlow: boolean +}): Promise => { + const prependMessages = incomingInput.history ?? [] + let chatHistory: IMessage[] = [] + + if (isAgentFlow) { + const startNode = nodes.find((node) => node.data.name === 'seqStart') + if (!startNode?.data?.inputs?.memory) return [] + + const memoryNodeId = startNode.data.inputs.memory.split('.')[0].replace('{{', '') + const memoryNode = nodes.find((node) => node.data.id === memoryNodeId) + + if (memoryNode) { + chatHistory = await getSessionChatHistory( + chatflowid, + getMemorySessionId(memoryNode, incomingInput, chatId, isInternal), + memoryNode, + componentNodes, + appDataSource, + databaseEntities, + logger, + prependMessages + ) + } + return chatHistory + } - let chat = await chatRepository.findOne({ where: { id: chatId } }) + /* In case there are multiple ending nodes, get the memory from the last available ending node + * By right, in each flow, there should only be one memory node + */ + for (const endingNode of endingNodes) { + const endingNodeData = endingNode.data + if (!endingNodeData.inputs?.memory) continue - if (!chat) { - const chatData = { - id: chatId, - title: incomingInput.question, - chatflowChatId: chatId, - chatflow: { id: chatflowid }, - owner: { id: req.user?.id }, - ownerId: req.user?.id, - organizationId: req.user?.organizationId - } + const memoryNodeId = endingNodeData.inputs?.memory.split('.')[0].replace('{{', '') + const memoryNode = nodes.find((node) => node.data.id === memoryNodeId) - chat = await chatRepository.save(chatData) + if (!memoryNode) continue - if (socketIO && incomingInput.socketIOClientId) { - socketIO.to(incomingInput.socketIOClientId).emit('newChat', { - chat: { - id: chat.id, - title: chat.title, - chatflowChatId: chat.chatflowChatId, - createdDate: chat.createdDate - } - }) - } - } + chatHistory = await getSessionChatHistory( + chatflowid, + getMemorySessionId(memoryNode, incomingInput, chatId, isInternal), + memoryNode, + componentNodes, + appDataSource, + databaseEntities, + logger, + prependMessages + ) + } - if (!isInternal && !chatflow?.isPublic) { - const isOwner = await checkOwnership(chatflow, req.user) - const isKeyValidated = await utilValidateKey(req, chatflow) - if (!isOwner && !isKeyValidated) { - throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) - } - } + return chatHistory +} - if (!chatflow.userId || !chatflow.organizationId) { - throw new InternalFlowiseError( - StatusCodes.INTERNAL_SERVER_ERROR, - `Chatflow ${chatflowid} does not have a user or organization associated with it` - ) +/** + * Show output of setVariable nodes + * @param reactFlowNodes + * @returns {Record} + */ +const getSetVariableNodesOutput = (reactFlowNodes: IReactFlowNode[]) => { + const flowVariables = {} as Record + for (const node of reactFlowNodes) { + if (node.data.name === 'setVariable' && (node.data.inputs?.showOutput === true || node.data.inputs?.showOutput === 'true')) { + const outputResult = node.data.instance + const variableKey = node.data.inputs?.variableName + flowVariables[variableKey] = outputResult } + } + return flowVariables +} - const canContinue = await PlansService.hasAvailableExecutions(chatflow.userId, chatflow.organizationId) - - if (!canContinue) { - throw new InternalFlowiseError( - StatusCodes.PAYMENT_REQUIRED, - 'Insufficient executions. Please purchase more to continue using this service.' - ) - } +/* + * Function to traverse the flow graph and execute the nodes + */ +export const executeFlow = async ({ + componentNodes, + incomingInput, + chatflow, + chatId, + appDataSource, + telemetry, + cachePool, + sseStreamer, + baseURL, + isInternal, + files, + signal, + user +}: IExecuteFlowParams) => { + // Ensure incomingInput has all required properties with default values + incomingInput = { + history: [], + streaming: false, + ...incomingInput + } - let fileUploads: IFileUpload[] = [] - if (incomingInput.uploads) { - fileUploads = incomingInput.uploads - for (let i = 0; i < fileUploads.length; i += 1) { - const upload = fileUploads[i] - - if ((upload.type === 'file' || upload.type === 'audio') && upload.data) { - const filename = upload.name - const splitDataURI = upload.data.split(',') - const bf = Buffer.from(splitDataURI.pop() || '', 'base64') - const mime = splitDataURI[0].split(':')[1].split(';')[0] - await addSingleFileToStorage(mime, bf, filename, chatflowid, chatId) - upload.type = 'stored-file' - // Omit upload.data since we don't store the content in database - fileUploads[i] = omit(upload, ['data']) - } + const question = incomingInput.question || '' // Ensure question is never undefined + let overrideConfig = incomingInput.overrideConfig ?? {} + const uploads = incomingInput.uploads + const prependMessages = incomingInput.history ?? [] + const streaming = incomingInput.streaming ?? false + const userMessageDateTime = new Date() + const chatflowid = chatflow.id + + /* Process file uploads from the chat + * - Images + * - Files + * - Audio + */ + let fileUploads: IFileUpload[] = [] + let uploadedFilesContent = '' + if (incomingInput.uploads) { + fileUploads = incomingInput.uploads + for (let i = 0; i < fileUploads.length; i += 1) { + const upload = fileUploads[i] + + // if upload in an image, a rag file, or audio + if ((upload.type === 'file' || upload.type === 'file:rag' || upload.type === 'audio') && upload.data) { + const filename = upload.name + const splitDataURI = upload.data.split(',') + const bf = Buffer.from(splitDataURI.pop() || '', 'base64') + const mime = splitDataURI[0].split(':')[1].split(';')[0] + await addSingleFileToStorage(mime, bf, filename, chatflowid, chatId) + upload.type = 'stored-file' + // Omit upload.data since we don't store the content in database + fileUploads[i] = omit(upload, ['data']) + } - if (upload.type === 'url' && upload.data) { - const filename = upload.name - const urlData = upload.data - fileUploads[i] = { data: urlData, name: filename, type: 'url', mime: upload.mime ?? 'image/png' } - } + if (upload.type === 'url' && upload.data) { + const filename = upload.name + const urlData = upload.data + fileUploads[i] = { data: urlData, name: filename, type: 'url', mime: upload.mime ?? 'image/png' } + } - // Run Speech to Text conversion - if (upload.mime === 'audio/webm' || upload.mime === 'audio/mp4' || upload.mime === 'audio/ogg') { - logger.debug(`Attempting a speech to text conversion...`) - let speechToTextConfig: ICommonObject = {} - if (chatflow.speechToText) { - const speechToTextProviders = JSON.parse(chatflow.speechToText) - for (const provider in speechToTextProviders) { - const providerObj = speechToTextProviders[provider] - if (providerObj.status) { - speechToTextConfig = providerObj - speechToTextConfig['name'] = provider - break - } + // Run Speech to Text conversion + if (upload.mime === 'audio/webm' || upload.mime === 'audio/mp4' || upload.mime === 'audio/ogg') { + logger.debug(`Attempting a speech to text conversion...`) + let speechToTextConfig: ICommonObject = {} + if (chatflow.speechToText) { + const speechToTextProviders = JSON.parse(chatflow.speechToText) + for (const provider in speechToTextProviders) { + const providerObj = speechToTextProviders[provider] + if (providerObj.status) { + speechToTextConfig = providerObj + speechToTextConfig['name'] = provider + break } } - if (speechToTextConfig) { - const options: ICommonObject = { - chatId, - chatflowid, - appDataSource: appServer.AppDataSource, - databaseEntities: databaseEntities - } - const speechToTextResult = await convertSpeechToText(upload, speechToTextConfig, options) - logger.debug(`Speech to text result: ${speechToTextResult}`) - if (speechToTextResult) { - incomingInput.question = speechToTextResult - } + } + if (speechToTextConfig) { + const options: ICommonObject = { + chatId, + chatflowid, + appDataSource, + databaseEntities: databaseEntities + } + const speechToTextResult = await convertSpeechToText(upload, speechToTextConfig, options) + logger.debug(`Speech to text result: ${speechToTextResult}`) + if (speechToTextResult) { + incomingInput.question = speechToTextResult } } } - } - - let isStreamValid = false - - const files = (req.files as Express.Multer.File[]) || [] - if (files.length) { - const overrideConfig: ICommonObject = { ...req.body } - const fileNames: string[] = [] - for (const file of files) { - const fileBuffer = fs.readFileSync(file.path) - - const storagePath = await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, chatflowid) - - const fileInputField = mapMimeTypeToInputField(file.mimetype) - - overrideConfig[fileInputField] = storagePath - - fs.unlinkSync(file.path) - } - incomingInput = { - question: req.body.question ?? 'hello', - overrideConfig, - socketIOClientId: req.body.socketIOClientId + if (upload.type === 'file:full' && upload.data) { + upload.type = 'stored-file:full' + // Omit upload.data since we don't store the content in database + uploadedFilesContent += `${upload.data}\n\n` + fileUploads[i] = omit(upload, ['data']) } } + } - /*** Get chatflows and prepare data ***/ - const flowData = chatflow.flowData - const parsedFlowData: IReactFlowObject = JSON.parse(flowData) - const nodes = parsedFlowData.nodes - const edges = parsedFlowData.edges - - /*** Get session ID ***/ - const memoryNode = findMemoryNode(nodes, edges) - const memoryType = memoryNode?.data.label - let sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal) - - /*** Get Ending Node with Directed Graph ***/ - const { graph, nodeDependencies } = constructGraphs(nodes, edges) - const directedGraph = graph - const endingNodes = getEndingNodes(nodeDependencies, directedGraph, nodes) - - /*** If the graph is an agent graph, build the agent response ***/ - if (endingNodes.filter((node) => node.data.category === 'Multi Agents' || node.data.category === 'Sequential Agents').length) { - return await utilBuildAgentResponse( - req.user!, - chatflow, - isInternal, - chatId, - memoryType ?? '', - sessionId, - userMessageDateTime, - fileUploads, - incomingInput, - nodes, - edges, - socketIO, - baseURL - ) - } + // Process form data body with files + if (files?.length) { + overrideConfig = { ...incomingInput } + for (const file of files) { + const fileNames: string[] = [] + const fileBuffer = await getFileFromUpload(file.path ?? file.key) + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') + const storagePath = await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, chatflowid) - // Get prepend messages - const prependMessages = incomingInput.history - - /* Reuse the flow without having to rebuild (to avoid duplicated upsert, recomputation, reinitialization of memory) when all these conditions met: - * - Reuse of flows is not disabled - * - Node Data already exists in pool - * - Still in sync (i.e the flow has not been modified since) - * - Existing overrideConfig and new overrideConfig are the same - * - Flow doesn't start with/contain nodes that depend on incomingInput.question - ***/ - const isFlowReusable = () => { - return ( - process.env.DISABLE_CHATFLOW_REUSE !== 'true' && - Object.prototype.hasOwnProperty.call(appServer.chatflowPool.activeChatflows, chatflowid) && - appServer.chatflowPool.activeChatflows[chatflowid].inSync && - appServer.chatflowPool.activeChatflows[chatflowid].endingNodeData && - isSameOverrideConfig( - isInternal, - appServer.chatflowPool.activeChatflows[chatflowid].overrideConfig, - incomingInput.overrideConfig - ) && - !isStartNodeDependOnInput(appServer.chatflowPool.activeChatflows[chatflowid].startingNodes, nodes) - ) - } + const fileInputFieldFromMimeType = mapMimeTypeToInputField(file.mimetype) - if (isFlowReusable()) { - nodeToExecuteData = appServer.chatflowPool.activeChatflows[chatflowid].endingNodeData as INodeData - isStreamValid = isFlowValidForStream(nodes, nodeToExecuteData) - logger.debug( - `[server]: Reuse existing chatflow ${chatflowid} with ending node ${nodeToExecuteData.label} (${nodeToExecuteData.id})` - ) - } else { - const isCustomFunctionEndingNode = endingNodes.some((node) => node.data?.outputs?.output === 'EndingNode') + const fileExtension = path.extname(file.originalname) - for (const endingNode of endingNodes) { - const endingNodeData = endingNode.data + const fileInputFieldFromExt = mapExtToInputField(fileExtension) - const isEndingNode = endingNodeData?.outputs?.output === 'EndingNode' + let fileInputField = 'txtFile' - // Once custom function ending node exists, no need to do follow-up checks. - if (isEndingNode) continue + if (fileInputFieldFromExt !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } else if (fileInputFieldFromMimeType !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } - if ( - endingNodeData.outputs && - Object.keys(endingNodeData.outputs).length && - !Object.values(endingNodeData.outputs ?? {}).includes(endingNodeData.name) - ) { - throw new InternalFlowiseError( - StatusCodes.INTERNAL_SERVER_ERROR, - `Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction` - ) - } + if (overrideConfig[fileInputField]) { + const existingFileInputField = overrideConfig[fileInputField].replace('FILE-STORAGE::', '') + const existingFileInputFieldArray = JSON.parse(existingFileInputField) - isStreamValid = isFlowValidForStream(nodes, endingNodeData) - } + const newFileInputField = storagePath.replace('FILE-STORAGE::', '') + const newFileInputFieldArray = JSON.parse(newFileInputField) - // Once custom function ending node exists, flow is always unavailable to stream - isStreamValid = isCustomFunctionEndingNode ? false : isStreamValid + const updatedFieldArray = existingFileInputFieldArray.concat(newFileInputFieldArray) - let chatHistory: IMessage[] = [] + overrideConfig[fileInputField] = `FILE-STORAGE::${JSON.stringify(updatedFieldArray)}` + } else { + overrideConfig[fileInputField] = storagePath + } - // When {{chat_history}} is used in Format Prompt Value, fetch the chat conversations from memory node - for (const endingNode of endingNodes) { - const endingNodeData = endingNode.data + await removeSpecificFileFromUpload(file.path ?? file.key) + } + if (overrideConfig.vars && typeof overrideConfig.vars === 'string') { + overrideConfig.vars = JSON.parse(overrideConfig.vars) + } + incomingInput = { + ...incomingInput, + overrideConfig, + chatId + } + } - if (!endingNodeData.inputs?.memory) continue + /*** Get chatflows and prepare data ***/ + const flowData = chatflow.flowData + const parsedFlowData: IReactFlowObject = JSON.parse(flowData) + const nodes = parsedFlowData.nodes + const edges = parsedFlowData.edges + + const apiMessageId = uuidv4() + + /*** Get session ID ***/ + const memoryNode = findMemoryNode(nodes, edges) + const memoryType = memoryNode?.data.label || '' + let sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal) + + /*** Get Ending Node with Directed Graph ***/ + const { graph, nodeDependencies } = constructGraphs(nodes, edges) + const directedGraph = graph + const endingNodes = getEndingNodes(nodeDependencies, directedGraph, nodes) + + /*** Get Starting Nodes with Reversed Graph ***/ + const constructedObj = constructGraphs(nodes, edges, { isReversed: true }) + const nonDirectedGraph = constructedObj.graph + let startingNodeIds: string[] = [] + let depthQueue: IDepthQueue = {} + const endingNodeIds = endingNodes.map((n) => n.id) + for (const endingNodeId of endingNodeIds) { + const resx = getStartingNodes(nonDirectedGraph, endingNodeId) + startingNodeIds.push(...resx.startingNodeIds) + depthQueue = Object.assign(depthQueue, resx.depthQueue) + } + startingNodeIds = [...new Set(startingNodeIds)] + + const isAgentFlow = + endingNodes.filter((node) => node.data.category === 'Multi Agents' || node.data.category === 'Sequential Agents').length > 0 + + /*** Get Chat History ***/ + const chatHistory = await getChatHistory({ + endingNodes, + nodes, + chatflowid, + appDataSource, + componentNodes, + incomingInput, + chatId, + isInternal, + isAgentFlow + }) + + /*** Get API Config ***/ + const availableVariables = await appDataSource.getRepository(Variable).find({ where: { userId: user.id } }) + const { nodeOverrides, variableOverrides, apiOverrideStatus } = getAPIOverrideConfig(chatflow) + + const flowConfig: IFlowConfig = { + chatflowid, + chatId, + sessionId, + chatHistory, + apiMessageId, + ...incomingInput.overrideConfig + } - const memoryNodeId = endingNodeData.inputs?.memory.split('.')[0].replace('{{', '') - const memoryNode = nodes.find((node) => node.data.id === memoryNodeId) + logger.debug(`[server]: Start building flow ${chatflowid}`) + + /*** BFS to traverse from Starting Nodes to Ending Node ***/ + const reactFlowNodes = await buildFlow({ + user, + startingNodeIds, + reactFlowNodes: nodes, + reactFlowEdges: edges, + apiMessageId, + graph, + depthQueue, + componentNodes, + question, + uploadedFilesContent, + chatHistory, + chatId, + sessionId, + chatflowid, + appDataSource, + overrideConfig, + apiOverrideStatus, + nodeOverrides, + availableVariables, + variableOverrides, + cachePool, + isUpsert: false, + uploads, + baseURL + }) + + const setVariableNodesOutput = getSetVariableNodesOutput(reactFlowNodes) + + if (isAgentFlow) { + const agentflow = chatflow + const streamResults = await buildAgentGraph({ + user, + agentflow, + flowConfig, + incomingInput, + nodes, + edges, + initializedNodes: reactFlowNodes, + endingNodeIds, + startingNodeIds, + depthQueue, + chatHistory, + uploadedFilesContent, + appDataSource, + componentNodes, + sseStreamer, + shouldStreamResponse: true, // agentflow is always streamed + cachePool, + baseURL, + signal + }) - if (!memoryNode) continue + if (streamResults) { + const { finalResult, finalAction, sourceDocuments, artifacts, usedTools, agentReasoning } = streamResults + const userMessage: Omit = { + role: 'userMessage', + content: incomingInput.question, + chatflowid: agentflow.id, + chatType: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, + chatId, + memoryType, + sessionId, + createdDate: userMessageDateTime, + fileUploads: incomingInput.uploads ? JSON.stringify(fileUploads) : undefined, + leadEmail: incomingInput.leadEmail, + userId: user.id + } + await utilAddChatMessage(userMessage, appDataSource) - chatHistory = await getSessionChatHistory( - chatflowid, - getMemorySessionId(memoryNode, incomingInput, chatId, isInternal), - memoryNode, - appServer.nodesPool.componentNodes, - appServer.AppDataSource, - databaseEntities, - logger, - prependMessages - ) + const apiMessage: Omit = { + id: apiMessageId, + role: 'apiMessage', + content: finalResult, + chatflowid: agentflow.id, + chatType: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, + chatId, + memoryType, + sessionId, + userId: user.id } - /*** Get Starting Nodes with Reversed Graph ***/ - const constructedObj = constructGraphs(nodes, edges, { isReversed: true }) - const nonDirectedGraph = constructedObj.graph - let startingNodeIds: string[] = [] - let depthQueue: IDepthQueue = {} - const endingNodeIds = endingNodes.map((n) => n.id) - for (const endingNodeId of endingNodeIds) { - const resx = getStartingNodes(nonDirectedGraph, endingNodeId) - startingNodeIds.push(...resx.startingNodeIds) - depthQueue = Object.assign(depthQueue, resx.depthQueue) + if (sourceDocuments?.length) apiMessage.sourceDocuments = JSON.stringify(sourceDocuments) + if (artifacts?.length) apiMessage.artifacts = JSON.stringify(artifacts) + if (usedTools?.length) apiMessage.usedTools = JSON.stringify(usedTools) + if (agentReasoning?.length) apiMessage.agentReasoning = JSON.stringify(agentReasoning) + if (finalAction && Object.keys(finalAction).length) apiMessage.action = JSON.stringify(finalAction) + + if (agentflow.followUpPrompts) { + const followUpPromptsConfig = JSON.parse(agentflow.followUpPrompts) + const generatedFollowUpPrompts = await generateFollowUpPrompts(followUpPromptsConfig, apiMessage.content, { + chatId, + chatflowid: agentflow.id, + appDataSource, + databaseEntities + }) + if (generatedFollowUpPrompts?.questions) { + apiMessage.followUpPrompts = JSON.stringify(generatedFollowUpPrompts.questions) + } } - startingNodeIds = [...new Set(startingNodeIds)] - - const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id)) - - logger.debug(`[server]: Start building chatflow ${chatflowid}`) - /*** BFS to traverse from Starting Nodes to Ending Node ***/ - const reactFlowNodes = await buildFlow({ - user: req.user!, - startingNodeIds, - reactFlowNodes: nodes, - reactFlowEdges: edges, - graph, - depthQueue, - componentNodes: appServer.nodesPool.componentNodes, - question: incomingInput.question, - chatHistory, + const chatMessage = await utilAddChatMessage(apiMessage, appDataSource) + + await telemetry.sendTelemetry('agentflow_prediction_sent', { + version: await getAppVersion(), + agentflowId: agentflow.id, chatId, - sessionId: sessionId ?? '', - chatflowid, - appDataSource: appServer.AppDataSource, - overrideConfig: incomingInput?.overrideConfig, - cachePool: appServer.cachePool, - isUpsert: false, - uploads: incomingInput.uploads, - baseURL, - socketIO, - socketIOClientId: incomingInput.socketIOClientId + type: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, + flowGraph: getTelemetryFlowObj(nodes, edges) }) - const nodeToExecute = - endingNodeIds.length === 1 - ? reactFlowNodes.find((node: IReactFlowNode) => endingNodeIds[0] === node.id) - : reactFlowNodes[reactFlowNodes.length - 1] - if (!nodeToExecute) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Node not found`) - } + // Find the previous chat message with the same action id and remove the action + if (incomingInput.action && Object.keys(incomingInput.action).length) { + let query = await appDataSource + .getRepository(ChatMessage) + .createQueryBuilder('chat_message') + .where('chat_message.chatId = :chatId', { chatId }) + .orWhere('chat_message.sessionId = :sessionId', { sessionId }) + .orderBy('chat_message.createdDate', 'DESC') + .getMany() - if (incomingInput.overrideConfig) { - nodeToExecute.data = replaceInputsWithConfig(nodeToExecute.data, incomingInput.overrideConfig) + for (const result of query) { + if (result.action) { + try { + const action: IAction = JSON.parse(result.action) + if (action.id === incomingInput.action.id) { + const newChatMessage = new ChatMessage() + Object.assign(newChatMessage, result) + newChatMessage.action = null + const cm = await appDataSource.getRepository(ChatMessage).create(newChatMessage) + await appDataSource.getRepository(ChatMessage).save(cm) + break + } + } catch (e) { + // error converting action to JSON + } + } + } } - const reactFlowNodeData: INodeData = await resolveVariables( - req.user!, - appServer.AppDataSource, - nodeToExecute.data, - reactFlowNodes, - incomingInput.question, - chatHistory, - incomingInput.overrideConfig - ) - nodeToExecuteData = reactFlowNodeData + // Prepare response + let result: ICommonObject = {} + result.text = finalResult + result.question = incomingInput.question + result.chatId = chatId + result.chatMessageId = chatMessage?.id + if (sessionId) result.sessionId = sessionId + if (memoryType) result.memoryType = memoryType + if (agentReasoning?.length) result.agentReasoning = agentReasoning + if (finalAction && Object.keys(finalAction).length) result.action = finalAction + if (Object.keys(setVariableNodesOutput).length) result.flowVariables = setVariableNodesOutput + result.followUpPrompts = JSON.stringify(apiMessage.followUpPrompts) + + PlansService.incrementUsedExecutionCount(agentflow.userId, agentflow.organizationId) - appServer.chatflowPool.add(chatflowid, nodeToExecuteData, startingNodes, incomingInput?.overrideConfig) + return result + } + return undefined + } else { + let chatflowConfig: ICommonObject = {} + if (chatflow.chatbotConfig) { + chatflowConfig = JSON.parse(chatflow.chatbotConfig) } - logger.debug(`[server]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`) + let isStreamValid = false - const nodeInstanceFilePath = appServer.nodesPool.componentNodes[nodeToExecuteData.name].filePath as string - const nodeModule = await import(nodeInstanceFilePath) - const nodeInstance = new nodeModule.nodeClass({ sessionId }) + /* Check for post-processing settings, if available isStreamValid is always false */ + if (chatflowConfig?.postProcessing?.enabled === true) { + isStreamValid = false + } else { + isStreamValid = await checkIfStreamValid(endingNodes, nodes, streaming) + } - const missingInputs = validateNodeConnections(nodeToExecuteData) - if (missingInputs) { - throw new InternalFlowiseError( - StatusCodes.BAD_REQUEST, - `Oops! It looks like some required inputs are missing: ${missingInputs}.\n Please double-check your node connections and ensure all necessary inputs are linked before proceeding.` - ) + /*** Find the last node to execute ***/ + const { endingNodeData, endingNodeInstance } = await initEndingNode({ + user, + endingNodeIds, + componentNodes, + reactFlowNodes, + incomingInput, + flowConfig, + uploadedFilesContent, + availableVariables, + apiOverrideStatus, + nodeOverrides, + variableOverrides + }) + + /*** If user uploaded files from chat, prepend the content of the files ***/ + const finalQuestion = uploadedFilesContent ? `${uploadedFilesContent}\n\n${incomingInput.question}` : incomingInput.question + + /*** Prepare run params ***/ + const runParams = { + chatId, + chatflowid, + apiMessageId, + logger, + appDataSource, + databaseEntities, + analytic: chatflow.analytic, + uploads, + prependMessages, + ...(isStreamValid && { sseStreamer, shouldStreamResponse: isStreamValid }) } - let result = isStreamValid - ? await nodeInstance.run(nodeToExecuteData, incomingInput.question, { - chatId, - chatflowid, - logger, - appDataSource: appServer.AppDataSource, - databaseEntities, - analytic: chatflow.analytic, - uploads: incomingInput.uploads, - socketIO, - socketIOClientId: incomingInput.socketIOClientId, - prependMessages, - user: req.user, - sessionId - }) - : await nodeInstance.run(nodeToExecuteData, incomingInput.question, { - chatId, - chatflowid, - logger, - appDataSource: appServer.AppDataSource, - databaseEntities, - analytic: chatflow.analytic, - uploads: incomingInput.uploads, - prependMessages, - user: req.user, - sessionId - }) + /*** Run the ending node ***/ + let result = await endingNodeInstance.run(endingNodeData, finalQuestion, runParams) + result = typeof result === 'string' ? { text: result } : result - // Retrieve threadId from assistant if exists + /*** Retrieve threadId from OpenAI Assistant if exists ***/ if (typeof result === 'object' && result.assistant) { sessionId = result.assistant.threadId } const userMessage: Omit = { role: 'userMessage', - content: incomingInput.question, + content: question, chatflowid, - chatType: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, + chatType: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, chatId, memoryType, sessionId, createdDate: userMessageDateTime, - userId: req.user?.id!, fileUploads: incomingInput.uploads ? JSON.stringify(fileUploads) : undefined, - leadEmail: incomingInput.leadEmail + leadEmail: incomingInput.leadEmail, + userId: user.id } - await utilAddChatMessage(userMessage) + await utilAddChatMessage(userMessage, appDataSource) let resultText = '' - if (result.text) resultText = result.text - else if (result.json) resultText = '```json\n' + JSON.stringify(result.json, null, 2) + if (result.text) { + resultText = result.text + /* Check for post-processing settings */ + if (chatflowConfig?.postProcessing?.enabled === true) { + try { + const postProcessingFunction = JSON.parse(chatflowConfig?.postProcessing?.customFunction) + const nodeInstanceFilePath = componentNodes['customFunction'].filePath as string + const nodeModule = await import(nodeInstanceFilePath) + const nodeData = { + inputs: { javascriptFunction: postProcessingFunction }, + outputs: { output: 'output' } + } + const options: ICommonObject = { + chatflowid: chatflow.id, + sessionId, + chatId, + input: question, + rawOutput: resultText, + appDataSource, + databaseEntities, + logger + } + const customFuncNodeInstance = new nodeModule.nodeClass() + let moderatedResponse = await customFuncNodeInstance.init(nodeData, question, options) + result.text = moderatedResponse + resultText = result.text + } catch (e) { + logger.log('[server]: Post Processing Error:', e) + } + } + } else if (result.json) resultText = '```json\n' + JSON.stringify(result.json, null, 2) else resultText = JSON.stringify(result, null, 2) const apiMessage: Omit = { role: 'apiMessage', content: resultText, chatflowid, - chatType: incomingInput.chatType ?? (isInternal ? chatType.INTERNAL : chatType.EXTERNAL), + chatType: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, chatId, memoryType, - userId: req.user?.id!, - sessionId + sessionId, + userId: user?.id } if (result?.sourceDocuments) apiMessage.sourceDocuments = JSON.stringify(result.sourceDocuments) if (result?.usedTools) apiMessage.usedTools = JSON.stringify(result.usedTools) if (result?.fileAnnotations) apiMessage.fileAnnotations = JSON.stringify(result.fileAnnotations) - const chatMessage = await utilAddChatMessage(apiMessage) + if (result?.artifacts) apiMessage.artifacts = JSON.stringify(result.artifacts) + if (chatflow.followUpPrompts) { + const followUpPromptsConfig = JSON.parse(chatflow.followUpPrompts) + const followUpPrompts = await generateFollowUpPrompts(followUpPromptsConfig, apiMessage.content, { + chatId, + chatflowid, + appDataSource, + databaseEntities + }) + if (followUpPrompts?.questions) { + apiMessage.followUpPrompts = JSON.stringify(followUpPrompts.questions) + } + } + + const chatMessage = await utilAddChatMessage(apiMessage, appDataSource) - logger.debug(`[server]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`) - await appServer.telemetry.sendTelemetry('prediction_sent', { + logger.debug(`[server]: Finished running ${endingNodeData.label} (${endingNodeData.id})`) + + await telemetry.sendTelemetry('prediction_sent', { version: await getAppVersion(), chatflowId: chatflowid, chatId, - type: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, + type: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, flowGraph: getTelemetryFlowObj(nodes, edges) }) - // Prepare response - // return the question in the response - // this is used when input text is empty but question is in audio format - result.question = incomingInput.question + /*** Prepare response ***/ + result.question = incomingInput.question // return the question in the response, this is used when input text is empty but question is in audio format result.chatId = chatId result.chatMessageId = chatMessage?.id + result.followUpPrompts = JSON.stringify(apiMessage.followUpPrompts) + result.isStreamValid = isStreamValid + if (sessionId) result.sessionId = sessionId if (memoryType) result.memoryType = memoryType - - PlansService.incrementUsedExecutionCount(chatflow.userId, chatflow.organizationId) + if (Object.keys(setVariableNodesOutput).length) result.flowVariables = setVariableNodesOutput return result - } catch (e) { - logger.error('[server]: Error:', e) - if (e instanceof InternalFlowiseError && e.statusCode === StatusCodes.UNAUTHORIZED) { - throw e - } else { - throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, getErrorMessage(e)) - } } } -const utilBuildAgentResponse = async ( - user: IUser, - agentflow: IChatFlow, - isInternal: boolean, - chatId: string, - memoryType: string, - sessionId: string, - userMessageDateTime: Date, - fileUploads: IFileUpload[], - incomingInput: IncomingInput, +/** + * Function to check if the flow is valid for streaming + * @param {IReactFlowNode[]} endingNodes + * @param {IReactFlowNode[]} nodes + * @param {boolean | string} streaming + * @returns {boolean} + */ +const checkIfStreamValid = async ( + endingNodes: IReactFlowNode[], nodes: IReactFlowNode[], - edges: IReactFlowEdge[], - socketIO?: Server, - baseURL?: string -) => { - try { - if (!agentflow.userId || !agentflow.organizationId) { + streaming: boolean | string | undefined +): Promise => { + // If streaming is undefined, set to false by default + if (streaming === undefined) { + streaming = false + } + + // Once custom function ending node exists, flow is always unavailable to stream + const isCustomFunctionEndingNode = endingNodes.some((node) => node.data?.outputs?.output === 'EndingNode') + if (isCustomFunctionEndingNode) return false + + let isStreamValid = false + for (const endingNode of endingNodes) { + const endingNodeData = endingNode.data || {} // Ensure endingNodeData is never undefined + + const isEndingNode = endingNodeData?.outputs?.output === 'EndingNode' + + // Once custom function ending node exists, no need to do follow-up checks. + if (isEndingNode) continue + + if ( + endingNodeData.outputs && + Object.keys(endingNodeData.outputs).length && + !Object.values(endingNodeData.outputs ?? {}).includes(endingNodeData.name) + ) { throw new InternalFlowiseError( StatusCodes.INTERNAL_SERVER_ERROR, - `User ID and Organization ID are required on the agentflow: ${agentflow.id}` + `Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction` ) } - const appServer = getRunningExpressApp() - const streamResults = await buildAgentGraph(user, agentflow, chatId, sessionId, incomingInput, isInternal, baseURL, socketIO) - if (streamResults) { - const { finalResult, finalAction, sourceDocuments, usedTools, agentReasoning } = streamResults - const userMessage: Omit = { - role: 'userMessage', - content: incomingInput.question, - chatflowid: agentflow.id, - chatType: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, - chatId, - memoryType, - sessionId, - createdDate: userMessageDateTime, - fileUploads: incomingInput.uploads ? JSON.stringify(fileUploads) : undefined, - leadEmail: incomingInput.leadEmail, - userId: user.id - } - await utilAddChatMessage(userMessage) - const apiMessage: Omit = { - role: 'apiMessage', - content: finalResult, - chatflowid: agentflow.id, - chatType: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, - chatId, - memoryType, - sessionId, - userId: user.id + isStreamValid = isFlowValidForStream(nodes, endingNodeData) + } + + isStreamValid = (streaming === 'true' || streaming === true) && isStreamValid + + return isStreamValid +} + +/** + * Build/Data Preperation for execute function + * @param {Request} req + * @param {boolean} isInternal + */ +export const utilBuildChatflow = async (req: Request, isInternal: boolean = false): Promise => { + const appServer = getRunningExpressApp() + const chatflowid = req.params.id + + // Check if chatflow exists + const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ + id: chatflowid + }) + if (!chatflow) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) + } + + const isAgentFlow = chatflow.type === 'MULTIAGENT' + const httpProtocol = req.get('x-forwarded-proto') || req.protocol + const baseURL = `${httpProtocol}://${req.get('host')}` + const incomingInput: IncomingInput = req.body || {} // Ensure incomingInput is never undefined + const chatId = incomingInput.chatId ?? incomingInput.overrideConfig?.sessionId ?? uuidv4() + const files = (req.files as Express.Multer.File[]) || [] + const abortControllerId = `${chatflow.id}_${chatId}` + + try { + // Validate API Key if its external API request + if (!isInternal) { + const isKeyValidated = await validateChatflowAPIKey(req, chatflow) + if (!isKeyValidated) { + throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) } - if (sourceDocuments.length) apiMessage.sourceDocuments = JSON.stringify(sourceDocuments) - if (usedTools.length) apiMessage.usedTools = JSON.stringify(usedTools) - if (agentReasoning.length) apiMessage.agentReasoning = JSON.stringify(agentReasoning) - if (Object.keys(finalAction).length) apiMessage.action = JSON.stringify(finalAction) - const chatMessage = await utilAddChatMessage(apiMessage) + } - await appServer.telemetry.sendTelemetry('agentflow_prediction_sent', { - version: await getAppVersion(), - agentflowId: agentflow.id, - chatId, - type: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, - flowGraph: getTelemetryFlowObj(nodes, edges) - }) + const executeData: IExecuteFlowParams = { + incomingInput, + chatflow, + chatId, + baseURL, + isInternal, + files, + appDataSource: appServer.AppDataSource, + sseStreamer: appServer.sseStreamer, + telemetry: appServer.telemetry, + cachePool: appServer.cachePool, + componentNodes: appServer.nodesPool.componentNodes, + user: req.user! + } - // Find the previous chat message with the same action id and remove the action - if (incomingInput.action && Object.keys(incomingInput.action).length) { - let query = await appServer.AppDataSource.getRepository(ChatMessage) - .createQueryBuilder('chat_message') - .where('chat_message.chatId = :chatId', { chatId }) - .orWhere('chat_message.sessionId = :sessionId', { sessionId }) - .orderBy('chat_message.createdDate', 'DESC') - .getMany() + if (process.env.MODE === MODE.QUEUE) { + const predictionQueue = appServer.queueManager.getQueue('prediction') + const job = await predictionQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) - for (const result of query) { - if (result.action) { - try { - const action: IAction = JSON.parse(result.action) - if (action.id === incomingInput.action.id) { - const newChatMessage = new ChatMessage() - Object.assign(newChatMessage, result) - newChatMessage.action = null - const cm = await appServer.AppDataSource.getRepository(ChatMessage).create(newChatMessage) - await appServer.AppDataSource.getRepository(ChatMessage).save(cm) - break - } - } catch (e) { - // error converting action to JSON - } - } - } + const queueEvents = predictionQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) + appServer.abortControllerPool.remove(abortControllerId) + if (!result) { + throw new Error('Job execution failed') } - // Prepare response - let result: ICommonObject = {} - result.text = finalResult - result.question = incomingInput.question - result.chatId = chatId - result.chatMessageId = chatMessage?.id - if (sessionId) result.sessionId = sessionId - if (memoryType) result.memoryType = memoryType - if (agentReasoning.length) result.agentReasoning = agentReasoning - if (Object.keys(finalAction).length) result.action = finalAction + incrementSuccessMetricCounter(appServer.metricsProvider, isInternal, isAgentFlow) + return result + } else { + // Add abort controller to the pool + const signal = new AbortController() + appServer.abortControllerPool.add(abortControllerId, signal) + executeData.signal = signal - PlansService.incrementUsedExecutionCount(agentflow.userId, agentflow.organizationId) + const result = await executeFlow(executeData) + appServer.abortControllerPool.remove(abortControllerId) + incrementSuccessMetricCounter(appServer.metricsProvider, isInternal, isAgentFlow) return result } - return undefined } catch (e) { logger.error('[server]: Error:', e) - throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, getErrorMessage(e)) + appServer.abortControllerPool.remove(`${chatflow.id}_${chatId}`) + incrementFailedMetricCounter(appServer.metricsProvider, isInternal, isAgentFlow) + if (e instanceof InternalFlowiseError && e.statusCode === StatusCodes.UNAUTHORIZED) { + throw e + } else { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, getErrorMessage(e)) + } + } +} + +/** + * Increment success metric counter + * @param {IMetricsProvider} metricsProvider + * @param {boolean} isInternal + * @param {boolean} isAgentFlow + */ +const incrementSuccessMetricCounter = (metricsProvider: IMetricsProvider, isInternal: boolean, isAgentFlow: boolean) => { + if (isAgentFlow) { + metricsProvider?.incrementCounter( + isInternal ? FLOWISE_METRIC_COUNTERS.AGENTFLOW_PREDICTION_INTERNAL : FLOWISE_METRIC_COUNTERS.AGENTFLOW_PREDICTION_EXTERNAL, + { status: FLOWISE_COUNTER_STATUS.SUCCESS } + ) + } else { + metricsProvider?.incrementCounter( + isInternal ? FLOWISE_METRIC_COUNTERS.CHATFLOW_PREDICTION_INTERNAL : FLOWISE_METRIC_COUNTERS.CHATFLOW_PREDICTION_EXTERNAL, + { status: FLOWISE_COUNTER_STATUS.SUCCESS } + ) + } +} + +/** + * Increment failed metric counter + * @param {IMetricsProvider} metricsProvider + * @param {boolean} isInternal + * @param {boolean} isAgentFlow + */ +const incrementFailedMetricCounter = (metricsProvider: IMetricsProvider, isInternal: boolean, isAgentFlow: boolean) => { + if (isAgentFlow) { + metricsProvider?.incrementCounter( + isInternal ? FLOWISE_METRIC_COUNTERS.AGENTFLOW_PREDICTION_INTERNAL : FLOWISE_METRIC_COUNTERS.AGENTFLOW_PREDICTION_EXTERNAL, + { status: FLOWISE_COUNTER_STATUS.FAILURE } + ) + } else { + metricsProvider?.incrementCounter( + isInternal ? FLOWISE_METRIC_COUNTERS.CHATFLOW_PREDICTION_INTERNAL : FLOWISE_METRIC_COUNTERS.CHATFLOW_PREDICTION_EXTERNAL, + { status: FLOWISE_COUNTER_STATUS.FAILURE } + ) } } diff --git a/packages/server/src/utils/constants.ts b/packages/server/src/utils/constants.ts new file mode 100644 index 00000000000..ec58bfed043 --- /dev/null +++ b/packages/server/src/utils/constants.ts @@ -0,0 +1,61 @@ +export const WHITELIST_URLS = [ + '/api/v1/verify/apikey/', + '/api/v1/chatflows/apikey/', + '/api/v1/public-chatflows', + '/api/v1/public-chatbotConfig', + '/api/v1/prediction/', + '/api/v1/vector/upsert/', + '/api/v1/node-icon/', + '/api/v1/components-credentials-icon/', + '/api/v1/chatflows-streaming', + '/api/v1/chatflows-uploads', + '/api/v1/openai-assistants-file/download', + '/api/v1/feedback', + '/api/v1/leads', + '/api/v1/get-upload-file', + '/api/v1/ip', + '/api/v1/ping', + '/api/v1/version', + '/api/v1/attachments', + '/api/v1/metrics', + '/api/v1/nvidia-nim', + '/api/v1/google-auth', + process.env.GOOGLE_CALLBACK_URL ?? '/api/v1/google-auth/callback', + '/api/v1/verify/apikey/', + '/api/v1/chatflows/apikey/', + '/api/v1/public-chatflows', + '/api/v1/public-chatbotConfig', + '/api/v1/prediction/', + '/api/v1/vector/upsert/', + '/api/v1/node-icon/', + '/api/v1/components-credentials-icon/', + '/api/v1/chatflows-streaming', + '/api/v1/chatflows-uploads', + '/api/v1/openai-assistants-file/download', + '/api/v1/feedback', + '/api/v1/leads', + '/api/v1/get-upload-file', + '/api/v1/ip', + '/api/v1/ping', + '/api/v1/marketplaces/templates' +] + +export const OMIT_QUEUE_JOB_DATA = ['componentNodes', 'appDataSource', 'sseStreamer', 'telemetry', 'cachePool'] + +export const INPUT_PARAMS_TYPE = [ + 'asyncOptions', + 'asyncMultiOptions', + 'options', + 'multiOptions', + 'datagrid', + 'string', + 'number', + 'boolean', + 'password', + 'json', + 'code', + 'date', + 'file', + 'folder', + 'tabs' +] diff --git a/packages/server/src/utils/createAttachment.ts b/packages/server/src/utils/createAttachment.ts new file mode 100644 index 00000000000..3a2e691a80d --- /dev/null +++ b/packages/server/src/utils/createAttachment.ts @@ -0,0 +1,104 @@ +import { Request } from 'express' +import * as path from 'path' +import { + addArrayFilesToStorage, + getFileFromUpload, + IDocument, + mapExtToInputField, + mapMimeTypeToInputField, + removeSpecificFileFromUpload +} from 'flowise-components' +import { getRunningExpressApp } from './getRunningExpressApp' +import { getErrorMessage } from '../errors/utils' + +/** + * Create attachment + * @param {Request} req + */ +export const createFileAttachment = async (req: Request) => { + const appServer = getRunningExpressApp() + + const chatflowid = req.params.chatflowId + if (!chatflowid) { + throw new Error( + 'Params chatflowId is required! Please provide chatflowId and chatId in the URL: /api/v1/attachments/:chatflowId/:chatId' + ) + } + + const chatId = req.params.chatId + if (!chatId) { + throw new Error( + 'Params chatId is required! Please provide chatflowId and chatId in the URL: /api/v1/attachments/:chatflowId/:chatId' + ) + } + + // Find FileLoader node + const fileLoaderComponent = appServer.nodesPool.componentNodes['fileLoader'] + const fileLoaderNodeInstanceFilePath = fileLoaderComponent.filePath as string + const fileLoaderNodeModule = await import(fileLoaderNodeInstanceFilePath) + const fileLoaderNodeInstance = new fileLoaderNodeModule.nodeClass() + const options = { + retrieveAttachmentChatId: true, + chatflowid, + chatId + } + const files = (req.files as Express.Multer.File[]) || [] + const fileAttachments = [] + if (files.length) { + const isBase64 = req.body.base64 + for (const file of files) { + const fileBuffer = await getFileFromUpload(file.path ?? file.key) + const fileNames: string[] = [] + + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') + + const storagePath = await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, chatflowid, chatId) + + const fileInputFieldFromMimeType = mapMimeTypeToInputField(file.mimetype) + + const fileExtension = path.extname(file.originalname) + + const fileInputFieldFromExt = mapExtToInputField(fileExtension) + + let fileInputField = 'txtFile' + + if (fileInputFieldFromExt !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } else if (fileInputFieldFromMimeType !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } + + await removeSpecificFileFromUpload(file.path ?? file.key) + + try { + const nodeData = { + inputs: { + [fileInputField]: storagePath + }, + outputs: { output: 'document' } + } + + let content = '' + + if (isBase64) { + content = fileBuffer.toString('base64') + } else { + const documents: IDocument[] = await fileLoaderNodeInstance.init(nodeData, '', options) + content = documents.map((doc) => doc.pageContent).join('\n') + } + + fileAttachments.push({ + name: file.originalname, + mimeType: file.mimetype, + size: file.size, + content + }) + } catch (error) { + throw new Error(`Failed operation: createFileAttachment - ${getErrorMessage(error)}`) + } + } + } + + return fileAttachments +} diff --git a/packages/server/src/utils/getChatMessage.ts b/packages/server/src/utils/getChatMessage.ts index e853be5077e..6abd360f466 100644 --- a/packages/server/src/utils/getChatMessage.ts +++ b/packages/server/src/utils/getChatMessage.ts @@ -1,13 +1,14 @@ -import { MoreThanOrEqual, LessThanOrEqual } from 'typeorm' -import { ChatMessageRatingType, chatType, IUser } from '../Interface' +import { MoreThanOrEqual, LessThanOrEqual, Between, In } from 'typeorm' +import { ChatMessageRatingType, ChatType, IUser } from '../Interface' import { ChatMessage } from '../database/entities/ChatMessage' import { ChatMessageFeedback } from '../database/entities/ChatMessageFeedback' import { getRunningExpressApp } from '../utils/getRunningExpressApp' +import { aMonthAgo } from '.' /** * Method that get chat messages. * @param {string} chatflowid - * @param {chatType} chatType + * @param {ChatType[]} chatTypes * @param {string} sortOrder * @param {string} chatId * @param {string} memoryType @@ -17,42 +18,36 @@ import { getRunningExpressApp } from '../utils/getRunningExpressApp' * @param {boolean} feedback * @param {ChatMessageRatingType[]} feedbackTypes */ -export const utilGetChatMessage = async ( +interface GetChatMessageParams { user: IUser, - chatflowid: string, - chatType: chatType | undefined, - sortOrder: string = 'ASC', - chatId?: string, - memoryType?: string, - sessionId?: string, - startDate?: string, - endDate?: string, - messageId?: string, - feedback?: boolean, - feedbackTypes?: ChatMessageRatingType[], - userId?: string -): Promise => { - const appServer = getRunningExpressApp() - const setDateToStartOrEndOfDay = (dateTimeStr: string, setHours: 'start' | 'end') => { - const date = new Date(dateTimeStr) - if (isNaN(date.getTime())) { - return undefined - } - setHours === 'start' ? date.setHours(0, 0, 0, 0) : date.setHours(23, 59, 59, 999) - return date - } - - const aMonthAgo = () => { - const date = new Date() - date.setMonth(new Date().getMonth() - 1) - return date - } - - let fromDate - if (startDate) fromDate = setDateToStartOrEndOfDay(startDate, 'start') + chatflowid: string + chatTypes?: ChatType[] + sortOrder?: string + chatId?: string + memoryType?: string + sessionId?: string + startDate?: string + endDate?: string + messageId?: string + feedback?: boolean + feedbackTypes?: ChatMessageRatingType[] +} - let toDate - if (endDate) toDate = setDateToStartOrEndOfDay(endDate, 'end') +export const utilGetChatMessage = async ({ + user, + chatflowid, + chatTypes, + sortOrder = 'ASC', + chatId, + memoryType, + sessionId, + startDate, + endDate, + messageId, + feedback, + feedbackTypes +}: GetChatMessageParams): Promise => { + const appServer = getRunningExpressApp() if (feedback) { const query = await appServer.AppDataSource.getRepository(ChatMessage).createQueryBuilder('chat_message') @@ -63,8 +58,8 @@ export const utilGetChatMessage = async ( .where('chat_message.chatflowid = :chatflowid', { chatflowid }) // based on which parameters are available add `andWhere` clauses to the query - if (chatType) { - query.andWhere('chat_message.chatType = :chatType', { chatType }) + if (chatTypes && chatTypes.length > 0) { + query.andWhere('chat_message.chatType IN (:...chatTypes)', { chatTypes }) } if (chatId) { query.andWhere('chat_message.chatId = :chatId', { chatId }) @@ -75,15 +70,18 @@ export const utilGetChatMessage = async ( if (sessionId) { query.andWhere('chat_message.sessionId = :sessionId', { sessionId }) } - if (userId && !user.roles?.includes('Admin')) { - query.andWhere('chat_message.userId = :userId', { userId }) + if (user.id && !user.roles?.includes('Admin')) { + query.andWhere('chat_message.userId = :userId', { userId: user.id }) } // set date range - query.andWhere('chat_message.createdDate BETWEEN :fromDate AND :toDate', { - fromDate: fromDate ?? aMonthAgo(), - toDate: toDate ?? new Date() - }) + if (startDate) { + query.andWhere('chat_message.createdDate >= :startDateTime', { startDateTime: startDate ? new Date(startDate) : aMonthAgo() }) + } + if (endDate) { + query.andWhere('chat_message.createdDate <= :endDateTime', { endDateTime: endDate ? new Date(endDate) : new Date() }) + } + // sort query.orderBy('chat_message.createdDate', sortOrder === 'DESC' ? 'DESC' : 'ASC') @@ -107,17 +105,27 @@ export const utilGetChatMessage = async ( return messages } + let createdDateQuery + if (startDate || endDate) { + if (startDate && endDate) { + createdDateQuery = Between(new Date(startDate), new Date(endDate)) + } else if (startDate) { + createdDateQuery = MoreThanOrEqual(new Date(startDate)) + } else if (endDate) { + createdDateQuery = LessThanOrEqual(new Date(endDate)) + } + } + return await appServer.AppDataSource.getRepository(ChatMessage).find({ where: { chatflowid, - chatType, + chatType: chatTypes?.length ? In(chatTypes) : undefined, chatId, memoryType: memoryType ?? undefined, sessionId: sessionId ?? undefined, - userId: user.roles?.includes('Admin') ? undefined : userId, - ...(fromDate && { createdDate: MoreThanOrEqual(fromDate) }), - ...(toDate && { createdDate: LessThanOrEqual(toDate) }), - id: messageId ?? undefined + createdDate: createdDateQuery, + id: messageId ?? undefined, + userId: user.roles?.includes('Admin') ? undefined : user.id, }, order: { createdDate: sortOrder === 'DESC' ? 'DESC' : 'ASC' diff --git a/packages/server/src/utils/getRunningExpressApp.ts b/packages/server/src/utils/getRunningExpressApp.ts index e02f988f110..6f876f3f843 100644 --- a/packages/server/src/utils/getRunningExpressApp.ts +++ b/packages/server/src/utils/getRunningExpressApp.ts @@ -2,7 +2,11 @@ import * as Server from '../index' export const getRunningExpressApp = function () { const runningExpressInstance = Server.getInstance() - if (typeof runningExpressInstance === 'undefined' || typeof runningExpressInstance.nodesPool === 'undefined') { + if ( + typeof runningExpressInstance === 'undefined' || + typeof runningExpressInstance.nodesPool === 'undefined' || + typeof runningExpressInstance.telemetry === 'undefined' + ) { throw new Error(`Error: getRunningExpressApp failed!`) } return runningExpressInstance diff --git a/packages/server/src/utils/getUploadsConfig.ts b/packages/server/src/utils/getUploadsConfig.ts index 13670c99ee6..96df07a15d0 100644 --- a/packages/server/src/utils/getUploadsConfig.ts +++ b/packages/server/src/utils/getUploadsConfig.ts @@ -2,14 +2,22 @@ import { StatusCodes } from 'http-status-codes' import { INodeParams } from 'flowise-components' import { ChatFlow } from '../database/entities/ChatFlow' import { getRunningExpressApp } from '../utils/getRunningExpressApp' -import { IUploadFileSizeAndTypes, IReactFlowNode } from '../Interface' +import { IUploadFileSizeAndTypes, IReactFlowNode, IReactFlowEdge } from '../Interface' import { InternalFlowiseError } from '../errors/internalFlowiseError' +type IUploadConfig = { + isSpeechToTextEnabled: boolean + isImageUploadAllowed: boolean + isRAGFileUploadAllowed: boolean + imgUploadSizeAndTypes: IUploadFileSizeAndTypes[] + fileUploadSizeAndTypes: IUploadFileSizeAndTypes[] +} + /** * Method that checks if uploads are enabled in the chatflow * @param {string} chatflowid */ -export const utilGetUploadsConfig = async (chatflowid: string): Promise => { +export const utilGetUploadsConfig = async (chatflowid: string): Promise => { const appServer = getRunningExpressApp() const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ id: chatflowid @@ -18,21 +26,17 @@ export const utilGetUploadsConfig = async (chatflowid: string): Promise => throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) } - const uploadAllowedNodes = [ - 'llmChain', - 'conversationChain', - 'reactAgentChat', - 'conversationalAgent', - 'toolAgent', - 'supervisor', - 'seqStart' - ] - const uploadProcessingNodes = ['chatOpenAI', 'chatAnthropic', 'awsChatBedrock', 'azureChatOpenAI', 'chatGoogleGenerativeAI'] - const flowObj = JSON.parse(chatflow.flowData) - const imgUploadSizeAndTypes: IUploadFileSizeAndTypes[] = [] + const nodes: IReactFlowNode[] = flowObj.nodes + const edges: IReactFlowEdge[] = flowObj.edges let isSpeechToTextEnabled = false + let isImageUploadAllowed = false + let isRAGFileUploadAllowed = false + + /* + * Check for STT + */ if (chatflow.speechToText) { const speechToTextProviders = JSON.parse(chatflow.speechToText) for (const provider in speechToTextProviders) { @@ -46,39 +50,72 @@ export const utilGetUploadsConfig = async (chatflowid: string): Promise => } } - let isImageUploadAllowed = false - const nodes: IReactFlowNode[] = flowObj.nodes + /* + * Condition for isRAGFileUploadAllowed + * 1.) vector store with fileUpload = true && connected to a document loader with fileType + */ + const fileUploadSizeAndTypes: IUploadFileSizeAndTypes[] = [] + for (const node of nodes) { + if (node.data.category === 'Vector Stores' && node.data.inputs?.fileUpload) { + // Get the connected document loader node fileTypes + const sourceDocumentEdges = edges.filter( + (edge) => edge.target === node.id && edge.targetHandle === `${node.id}-input-document-Document` + ) + for (const edge of sourceDocumentEdges) { + const sourceNode = nodes.find((node) => node.id === edge.source) + if (!sourceNode) continue + const fileType = sourceNode.data.inputParams.find((param) => param.type === 'file' && param.fileType)?.fileType + if (fileType) { + fileUploadSizeAndTypes.push({ + fileTypes: fileType.split(', '), + maxUploadSize: 500 + }) + isRAGFileUploadAllowed = true + } + } + break + } + } /* * Condition for isImageUploadAllowed - * 1.) one of the uploadAllowedNodes exists - * 2.) one of the uploadProcessingNodes exists + allowImageUploads is ON + * 1.) one of the imgUploadAllowedNodes exists + * 2.) one of the imgUploadLLMNodes exists + allowImageUploads is ON */ - if (!nodes.some((node) => uploadAllowedNodes.includes(node.data.name))) { - return { - isSpeechToTextEnabled, - isImageUploadAllowed: false, - imgUploadSizeAndTypes - } + const imgUploadSizeAndTypes: IUploadFileSizeAndTypes[] = [] + const imgUploadAllowedNodes = [ + 'llmChain', + 'conversationChain', + 'reactAgentChat', + 'conversationalAgent', + 'toolAgent', + 'supervisor', + 'seqStart' + ] + + if (nodes.some((node) => imgUploadAllowedNodes.includes(node.data.name))) { + nodes.forEach((node: IReactFlowNode) => { + const data = node.data + if (data.category === 'Chat Models' && data.inputs?.['allowImageUploads'] === true) { + // TODO: for now the maxUploadSize is hardcoded to 5MB, we need to add it to the node properties + node.data.inputParams.map((param: INodeParams) => { + if (param.name === 'allowImageUploads' && node.data.inputs?.['allowImageUploads']) { + imgUploadSizeAndTypes.push({ + fileTypes: 'image/gif;image/jpeg;image/png;image/webp;'.split(';'), + maxUploadSize: 5 + }) + isImageUploadAllowed = true + } + }) + } + }) } - nodes.forEach((node: IReactFlowNode) => { - if (uploadProcessingNodes.indexOf(node.data.name) > -1) { - // TODO: for now the maxUploadSize is hardcoded to 5MB, we need to add it to the node properties - node.data.inputParams.map((param: INodeParams) => { - if (param.name === 'allowImageUploads' && node.data.inputs?.['allowImageUploads']) { - imgUploadSizeAndTypes.push({ - fileTypes: 'image/gif;image/jpeg;image/png;image/webp;'.split(';'), - maxUploadSize: 5 - }) - isImageUploadAllowed = true - } - }) - } - }) return { isSpeechToTextEnabled, isImageUploadAllowed, - imgUploadSizeAndTypes + isRAGFileUploadAllowed, + imgUploadSizeAndTypes, + fileUploadSizeAndTypes } } diff --git a/packages/server/src/utils/index.ts b/packages/server/src/utils/index.ts index 25c4e29abf9..bf8131c2e8d 100644 --- a/packages/server/src/utils/index.ts +++ b/packages/server/src/utils/index.ts @@ -1,8 +1,12 @@ +/** + * Strictly no getRepository, appServer here, must be passed as parameter + */ + import path from 'path' import fs from 'fs' import logger from './logger' -import { Server } from 'socket.io' import { + IChatFlow, IComponentCredentials, IComponentNodes, ICredentialDataDecrypted, @@ -12,12 +16,15 @@ import { INodeData, INodeDependencies, INodeDirectedGraph, + INodeOverrides, INodeQueue, IOverrideConfig, IReactFlowEdge, IReactFlowNode, IUser, + IVariable, IVariableDict, + IVariableOverride, IncomingInput } from '../Interface' import { cloneDeep, get, isEqual } from 'lodash' @@ -30,33 +37,62 @@ import { IDatabaseEntity, IMessage, FlowiseMemory, - IFileUpload + IFileUpload, + getS3Config } from 'flowise-components' import { randomBytes } from 'crypto' import { AES, enc } from 'crypto-js' - +import multer from 'multer' +import multerS3 from 'multer-s3' import { ChatFlow } from '../database/entities/ChatFlow' import { ChatMessage } from '../database/entities/ChatMessage' import { Credential } from '../database/entities/Credential' import { Tool } from '../database/entities/Tool' import { Assistant } from '../database/entities/Assistant' -import { DataSource, Like } from 'typeorm' +import { Lead } from '../database/entities/Lead' +import { DataSource } from 'typeorm' import { CachePool } from '../CachePool' import { Variable } from '../database/entities/Variable' import { DocumentStore } from '../database/entities/DocumentStore' import { DocumentStoreFileChunk } from '../database/entities/DocumentStoreFileChunk' import { InternalFlowiseError } from '../errors/internalFlowiseError' import { StatusCodes } from 'http-status-codes' +import { + CreateSecretCommand, + GetSecretValueCommand, + PutSecretValueCommand, + SecretsManagerClient, + SecretsManagerClientConfig +} from '@aws-sdk/client-secrets-manager' const QUESTION_VAR_PREFIX = 'question' +const FILE_ATTACHMENT_PREFIX = 'file_attachment' const CHAT_HISTORY_VAR_PREFIX = 'chat_history' const REDACTED_CREDENTIAL_VALUE = '_FLOWISE_BLANK_07167752-1a71-43b1-bf8f-4f32252165db' +let secretsManagerClient: SecretsManagerClient | null = null +const USE_AWS_SECRETS_MANAGER = process.env.SECRETKEY_STORAGE_TYPE === 'aws' +if (USE_AWS_SECRETS_MANAGER) { + const region = process.env.SECRETKEY_AWS_REGION || 'us-east-1' // Default region if not provided + const accessKeyId = process.env.SECRETKEY_AWS_ACCESS_KEY + const secretAccessKey = process.env.SECRETKEY_AWS_SECRET_KEY + + let credentials: SecretsManagerClientConfig['credentials'] | undefined + if (accessKeyId && secretAccessKey) { + credentials = { + accessKeyId, + secretAccessKey + } + } + secretsManagerClient = new SecretsManagerClient({ credentials, region }) +} + export const databaseEntities: IDatabaseEntity = { ChatFlow: ChatFlow, ChatMessage: ChatMessage, Tool: Tool, Credential: Credential, + Lead: Lead, Assistant: Assistant, Variable: Variable, DocumentStore: DocumentStore, @@ -431,15 +467,19 @@ type BuildFlowParams = { chatId: string sessionId: string chatflowid: string + apiMessageId: string appDataSource: DataSource overrideConfig?: ICommonObject + apiOverrideStatus?: boolean + nodeOverrides?: INodeOverrides + availableVariables?: IVariable[] + variableOverrides?: IVariableOverride[] cachePool?: CachePool isUpsert?: boolean stopNodeId?: string uploads?: IFileUpload[] baseURL?: string - socketIO?: Server - socketIOClientId?: string + uploadedFilesContent?: string } /** @@ -455,19 +495,23 @@ export const buildFlow = async ({ depthQueue, componentNodes, question, + uploadedFilesContent, chatHistory, + apiMessageId, chatId, sessionId, chatflowid, appDataSource, overrideConfig, + apiOverrideStatus = false, + nodeOverrides = {}, + availableVariables = [], + variableOverrides = [], cachePool, isUpsert, stopNodeId, uploads, - baseURL, - socketIO, - socketIOClientId + baseURL }: BuildFlowParams) => { const flowNodes = cloneDeep(reactFlowNodes) @@ -489,6 +533,14 @@ export const buildFlow = async ({ const initializedNodes: Set = new Set() const reversedGraph = constructGraphs(reactFlowNodes, reactFlowEdges, { isReversed: true }).graph + + const flowData: ICommonObject = { + chatflowid, + chatId, + sessionId, + chatHistory, + ...overrideConfig + } while (nodeQueue.length) { const { nodeId, depth } = nodeQueue.shift() as INodeQueue @@ -502,18 +554,24 @@ export const buildFlow = async ({ const newNodeInstance = new nodeModule.nodeClass() let flowNodeData = cloneDeep(reactFlowNode.data) - if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig) + + // Only override the config if its status is true + if (overrideConfig && apiOverrideStatus) { + flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig, nodeOverrides, variableOverrides) + } if (isUpsert) upsertHistory['flowData'] = saveUpsertFlowData(flowNodeData, upsertHistory) const reactFlowNodeData: INodeData = await resolveVariables( user, - appDataSource, flowNodeData, flowNodes, question, chatHistory, - overrideConfig + flowData, + uploadedFilesContent, + availableVariables, + variableOverrides ) if (isUpsert && stopNodeId && nodeId === stopNodeId) { @@ -523,15 +581,14 @@ export const buildFlow = async ({ sessionId, chatflowid, chatHistory, + apiMessageId, logger, appDataSource, databaseEntities, cachePool, dynamicVariables, uploads, - baseURL, - socketIO, - socketIOClientId + baseURL }) if (indexResult) upsertHistory['result'] = indexResult logger.debug(`[server]: Finished upserting ${reactFlowNode.data.label} (${reactFlowNode.data.id})`) @@ -544,7 +601,8 @@ export const buildFlow = async ({ initializedNodes.add(nodeId) } else { logger.debug(`[server]: Initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`) - let outputResult = await newNodeInstance.init(reactFlowNodeData, question, { + const finalQuestion = uploadedFilesContent ? `${uploadedFilesContent}\n\n${question}` : question + let outputResult = await newNodeInstance.init(reactFlowNodeData, finalQuestion, { chatId, sessionId, chatflowid, @@ -557,8 +615,6 @@ export const buildFlow = async ({ dynamicVariables, uploads, baseURL, - socketIO, - socketIOClientId, componentNodes: componentNodes as ICommonObject }) @@ -577,9 +633,15 @@ export const buildFlow = async ({ if (reactFlowNode.data.name === 'ifElseFunction' && typeof outputResult === 'object') { let sourceHandle = '' if (outputResult.type === true) { - sourceHandle = `${nodeId}-output-returnFalse-string|number|boolean|json|array` + // sourceHandle = `${nodeId}-output-returnFalse-string|number|boolean|json|array` + sourceHandle = ( + reactFlowNode.data.outputAnchors.flatMap((n) => n.options).find((n) => n?.name === 'returnFalse') as any + )?.id } else if (outputResult.type === false) { - sourceHandle = `${nodeId}-output-returnTrue-string|number|boolean|json|array` + // sourceHandle = `${nodeId}-output-returnTrue-string|number|boolean|json|array` + sourceHandle = ( + reactFlowNode.data.outputAnchors.flatMap((n) => n.options).find((n) => n?.name === 'returnTrue') as any + )?.id } const ifElseEdge = reactFlowEdges.find((edg) => edg.source === nodeId && edg.sourceHandle === sourceHandle) @@ -702,28 +764,29 @@ export const clearSessionMemory = async ( } } -const getGlobalVariable = async (user: IUser, appDataSource: DataSource, overrideConfig?: ICommonObject) => { - const conditions: any = [ - { userId: user?.id, organizationId: user?.organizationId }, - { organizationId: user?.organizationId, visibility: Like('%Organization%') }, - { userId: null } - ] - const variables = await appDataSource.getRepository(Variable).find({ - where: conditions - }) - +const getGlobalVariable = async ( + overrideConfig?: ICommonObject, + availableVariables: IVariable[] = [], + variableOverrides: ICommonObject[] = [] +) => { // override variables defined in overrideConfig // nodeData.inputs.vars is an Object, check each property and override the variable - if (overrideConfig?.vars) { + if (overrideConfig?.vars && variableOverrides) { for (const propertyName of Object.getOwnPropertyNames(overrideConfig.vars)) { - const foundVar = variables.find((v) => v.name === propertyName) + // Check if this variable is enabled for override + const override = variableOverrides.find((v) => v.name === propertyName) + if (!override?.enabled) { + continue // Skip this variable if it's not enabled for override + } + + const foundVar = availableVariables.find((v) => v.name === propertyName) if (foundVar) { // even if the variable was defined as runtime, we override it with static value foundVar.type = 'static' foundVar.value = overrideConfig.vars[propertyName] } else { // add it the variables, if not found locally in the db - variables.push({ + availableVariables.push({ name: propertyName, type: 'static', value: overrideConfig.vars[propertyName], @@ -736,8 +799,8 @@ const getGlobalVariable = async (user: IUser, appDataSource: DataSource, overrid } let vars = {} - if (variables.length) { - for (const item of variables) { + if (availableVariables.length) { + for (const item of availableVariables) { let value = item.value // read from .env file @@ -765,24 +828,26 @@ const getGlobalVariable = async (user: IUser, appDataSource: DataSource, overrid * @returns {string} */ export const getVariableValue = async ( - user: IUser, - appDataSource: DataSource, paramValue: string | object, reactFlowNodes: IReactFlowNode[], question: string, chatHistory: IMessage[], isAcceptVariable = false, - overrideConfig?: ICommonObject + flowConfig?: ICommonObject, + uploadedFilesContent?: string, + availableVariables: IVariable[] = [], + variableOverrides: ICommonObject[] = [] ) => { const isObject = typeof paramValue === 'object' - let returnVal = (isObject ? JSON.stringify(paramValue) : paramValue) ?? '' + const initialValue = (isObject ? JSON.stringify(paramValue) : paramValue) ?? '' + let returnVal = initialValue const variableStack = [] const variableDict = {} as IVariableDict let startIdx = 0 - const endIdx = returnVal.length - 1 + const endIdx = initialValue.length - 1 while (startIdx < endIdx) { - const substr = returnVal.substring(startIdx, startIdx + 2) + const substr = initialValue.substring(startIdx, startIdx + 2) // Store the opening double curly bracket if (substr === '{{') { @@ -793,7 +858,7 @@ export const getVariableValue = async ( if (substr === '}}' && variableStack.length > 0 && variableStack[variableStack.length - 1].substr === '{{') { const variableStartIdx = variableStack[variableStack.length - 1].startIdx const variableEndIdx = startIdx - const variableFullPath = returnVal.substring(variableStartIdx, variableEndIdx) + const variableFullPath = initialValue.substring(variableStartIdx, variableEndIdx) /** * Apply string transformation to convert special chars: @@ -804,14 +869,26 @@ export const getVariableValue = async ( variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(question, false) } + if (isAcceptVariable && variableFullPath === FILE_ATTACHMENT_PREFIX) { + variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(uploadedFilesContent, false) + } + if (isAcceptVariable && variableFullPath === CHAT_HISTORY_VAR_PREFIX) { variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(convertChatHistoryToText(chatHistory), false) } if (variableFullPath.startsWith('$vars.')) { - const vars = await getGlobalVariable(user, appDataSource, overrideConfig) + const vars = await getGlobalVariable(flowConfig, availableVariables, variableOverrides) const variableValue = get(vars, variableFullPath.replace('$vars.', '')) - if (variableValue) { + if (variableValue != null) { + variableDict[`{{${variableFullPath}}}`] = variableValue + returnVal = returnVal.split(`{{${variableFullPath}}}`).join(variableValue) + } + } + + if (variableFullPath.startsWith('$flow.') && flowConfig) { + const variableValue = get(flowConfig, variableFullPath.replace('$flow.', '')) + if (variableValue != null) { variableDict[`{{${variableFullPath}}}`] = variableValue returnVal = returnVal.split(`{{${variableFullPath}}}`).join(variableValue) } @@ -905,12 +982,14 @@ export const getVariableValue = async ( */ export const resolveVariables = async ( user: IUser, - appDataSource: DataSource, reactFlowNodeData: INodeData, reactFlowNodes: IReactFlowNode[], question: string, chatHistory: IMessage[], - overrideConfig?: ICommonObject + flowConfig?: ICommonObject, + uploadedFilesContent?: string, + availableVariables: IVariable[] = [], + variableOverrides: ICommonObject[] = [] ): Promise => { let flowNodeData = cloneDeep(reactFlowNodeData) const types = 'inputs' @@ -922,14 +1001,15 @@ export const resolveVariables = async ( const resolvedInstances = [] for (const param of paramValue) { const resolvedInstance = await getVariableValue( - user, - appDataSource, param, reactFlowNodes, question, chatHistory, undefined, - overrideConfig + flowConfig, + uploadedFilesContent, + availableVariables, + variableOverrides ) resolvedInstances.push(resolvedInstance) } @@ -937,14 +1017,15 @@ export const resolveVariables = async ( } else { const isAcceptVariable = reactFlowNodeData.inputParams.find((param) => param.name === key)?.acceptVariable ?? false const resolvedInstance = await getVariableValue( - user, - appDataSource, paramValue, reactFlowNodes, question, chatHistory, isAcceptVariable, - overrideConfig + flowConfig, + uploadedFilesContent, + availableVariables, + variableOverrides ) paramsObj[key] = resolvedInstance } @@ -961,18 +1042,63 @@ export const resolveVariables = async ( * Loop through each inputs and replace their value with override config values * @param {INodeData} flowNodeData * @param {ICommonObject} overrideConfig + * @param {INodeOverrides} nodeOverrides + * @param {IVariableOverride[]} variableOverrides * @returns {INodeData} */ -export const replaceInputsWithConfig = (flowNodeData: INodeData, overrideConfig: ICommonObject) => { +export const replaceInputsWithConfig = ( + flowNodeData: INodeData, + overrideConfig: ICommonObject, + nodeOverrides: INodeOverrides, + variableOverrides: IVariableOverride[] +) => { const types = 'inputs' + const isParameterEnabled = (nodeType: string, paramName: string): boolean => { + if (!nodeOverrides[nodeType]) return false + const parameter = nodeOverrides[nodeType].find((param: any) => param.name === paramName) + return parameter?.enabled ?? false + } + const getParamValues = (inputsObj: ICommonObject) => { for (const config in overrideConfig) { - // If overrideConfig[key] is object - if (overrideConfig[config] && typeof overrideConfig[config] === 'object') { + /** + * Several conditions: + * 1. If config is 'analytics', always allow it + * 2. If config is 'vars', check its object and filter out the variables that are not enabled for override + * 3. If typeof config's value is an object, check if the node id is in the overrideConfig object and if the parameter (systemMessagePrompt) is enabled + * Example: + * "systemMessagePrompt": { + * "chatPromptTemplate_0": "You are an assistant" + * } + * 4. If typeof config's value is a string, check if the parameter is enabled + * Example: + * "systemMessagePrompt": "You are an assistant" + */ + + if (config === 'analytics') { + // pass + } else if (config === 'vars') { + if (typeof overrideConfig[config] === 'object') { + const filteredVars: ICommonObject = {} + + const vars = overrideConfig[config] + for (const variable in vars) { + const override = variableOverrides.find((v) => v.name === variable) + if (!override?.enabled) { + continue // Skip this variable if it's not enabled for override + } + filteredVars[variable] = vars[variable] + } + overrideConfig[config] = filteredVars + } + } else if (overrideConfig[config] && typeof overrideConfig[config] === 'object') { const nodeIds = Object.keys(overrideConfig[config]) if (nodeIds.includes(flowNodeData.id)) { - inputsObj[config] = overrideConfig[config][flowNodeData.id] + // Check if this parameter is enabled + if (isParameterEnabled(flowNodeData.label, config)) { + inputsObj[config] = overrideConfig[config][flowNodeData.id] + } continue } else if (nodeIds.some((nodeId) => nodeId.includes(flowNodeData.name))) { /* @@ -982,6 +1108,14 @@ export const replaceInputsWithConfig = (flowNodeData: INodeData, overrideConfig: */ continue } + } else { + // Skip if it is an override "files" input, such as pdfFile, txtFile, etc + if (typeof overrideConfig[config] === 'string' && overrideConfig[config].includes('FILE-STORAGE::')) { + // pass + } else if (!isParameterEnabled(flowNodeData.label, config)) { + // Only proceed if the parameter is enabled + continue + } } let paramValue = inputsObj[config] @@ -1089,35 +1223,16 @@ export const isSameOverrideConfig = ( } /** - * Map MimeType to InputField - * @param {string} mimeType - * @returns {Promise} + * @param {string} existingChatId + * @param {string} newChatId + * @returns {boolean} */ -export const mapMimeTypeToInputField = (mimeType: string) => { - switch (mimeType) { - case 'text/plain': - return 'txtFile' - case 'application/pdf': - return 'pdfFile' - case 'application/json': - return 'jsonFile' - case 'text/csv': - return 'csvFile' - case 'application/json-lines': - case 'application/jsonl': - case 'text/jsonl': - return 'jsonlinesFile' - case 'application/vnd.openxmlformats-officedocument.wordprocessingml.document': - return 'docxFile' - case 'application/vnd.yaml': - case 'application/x-yaml': - case 'text/vnd.yaml': - case 'text/x-yaml': - case 'text/yaml': - return 'yamlFile' - default: - return 'txtFile' +export const isSameChatId = (existingChatId?: string, newChatId?: string): boolean => { + if (isEqual(existingChatId, newChatId)) { + return true } + if (!existingChatId && !newChatId) return true + return false } /** @@ -1197,11 +1312,13 @@ export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[], component * @returns {boolean} */ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNodeData: INodeData) => { + /** Deprecated, add streaming input param to the component instead **/ const streamAvailableLLMs = { 'Chat Models': [ 'azureChatOpenAI', 'chatOpenAI', 'chatOpenAI_LlamaIndex', + 'chatOpenAICustom', 'chatAnthropic', 'chatAnthropic_LlamaIndex', 'chatOllama', @@ -1209,6 +1326,7 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod 'awsChatBedrock', 'chatMistralAI', 'chatMistral_LlamaIndex', + 'chatAlibabaTongyi', 'groqChat', 'chatGroq_LlamaIndex', 'chatCohere', @@ -1225,9 +1343,18 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod for (const flowNode of reactFlowNodes) { const data = flowNode.data if (data.category === 'Chat Models' || data.category === 'LLMs') { - isChatOrLLMsExist = true - const validLLMs = streamAvailableLLMs[data.category] - if (!validLLMs.includes(data.name)) return false + if (data.inputs?.streaming === false || data.inputs?.streaming === 'false') { + return false + } + if (data.inputs?.streaming === true || data.inputs?.streaming === 'true') { + isChatOrLLMsExist = true // passed, proceed to next check + } + /** Deprecated, add streaming input param to the component instead **/ + if (!Object.prototype.hasOwnProperty.call(data.inputs, 'streaming') && !data.inputs?.streaming) { + isChatOrLLMsExist = true + const validLLMs = streamAvailableLLMs[data.category] + if (!validLLMs.includes(data.name)) return false + } } } @@ -1238,28 +1365,9 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod isValidChainOrAgent = !blacklistChains.includes(endingNodeData.name) } else if (endingNodeData.category === 'Agents') { // Agent that are available to stream - const whitelistAgents = [ - 'openAIFunctionAgent', - 'mistralAIToolAgent', - 'csvAgent', - 'airtableAgent', - 'conversationalRetrievalAgent', - 'openAIToolAgent', - 'toolAgent', - 'openAIToolAgentLlamaIndex' - ] + const whitelistAgents = ['csvAgent', 'airtableAgent', 'toolAgent', 'conversationalRetrievalToolAgent', 'openAIToolAgentLlamaIndex'] isValidChainOrAgent = whitelistAgents.includes(endingNodeData.name) - // Anthropic streaming has some bug where the log is being sent, temporarily disabled - const model = endingNodeData.inputs?.model - if (endingNodeData.name.includes('toolAgent')) { - if (typeof model === 'string' && model.includes('chatAnthropic')) { - return false - } else if (typeof model === 'object' && 'id' in model && model['id'].includes('chatAnthropic')) { - return false - } - } - // If agent is openAIAssistant, streaming is enabled if (endingNodeData.name === 'openAIAssistant') return true } else if (endingNodeData.category === 'Engine') { @@ -1280,14 +1388,6 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod return isChatOrLLMsExist && isValidChainOrAgent && !isOutputParserExist } -/** - * Generate an encryption key - * @returns {string} - */ -export const generateEncryptKey = (): string => { - return randomBytes(24).toString('base64') -} - /** * Returns the encryption key * @returns {Promise} @@ -1314,7 +1414,39 @@ export const getEncryptionKey = async (): Promise => { * @returns {Promise} */ export const encryptCredentialData = async (plainDataObj: ICredentialDataDecrypted): Promise => { + if (USE_AWS_SECRETS_MANAGER && secretsManagerClient) { + const secretName = `FlowiseCredential_${randomBytes(12).toString('hex')}` + + logger.info(`[server]: Upserting AWS Secret: ${secretName}`) + + const secretString = JSON.stringify({ ...plainDataObj }) + + try { + // Try to update the secret if it exists + const putCommand = new PutSecretValueCommand({ + SecretId: secretName, + SecretString: secretString + }) + await secretsManagerClient.send(putCommand) + } catch (error: any) { + if (error.name === 'ResourceNotFoundException') { + // Secret doesn't exist, so create it + const createCommand = new CreateSecretCommand({ + Name: secretName, + SecretString: secretString + }) + await secretsManagerClient.send(createCommand) + } else { + // Rethrow any other errors + throw error + } + } + return secretName + } + const encryptKey = await getEncryptionKey() + + // Fallback to existing code return AES.encrypt(JSON.stringify(plainDataObj), encryptKey).toString() } @@ -1330,22 +1462,52 @@ export const decryptCredentialData = async ( componentCredentialName?: string, componentCredentials?: IComponentCredentials ): Promise => { - const encryptKey = await getEncryptionKey() - const decryptedData = AES.decrypt(encryptedData, encryptKey) - const decryptedDataStr = decryptedData.toString(enc.Utf8) + let decryptedDataStr: string + + if (USE_AWS_SECRETS_MANAGER && secretsManagerClient) { + try { + logger.info(`[server]: Reading AWS Secret: ${encryptedData}`) + const command = new GetSecretValueCommand({ SecretId: encryptedData }) + const response = await secretsManagerClient.send(command) + + if (response.SecretString) { + const secretObj = JSON.parse(response.SecretString) + decryptedDataStr = JSON.stringify(secretObj) + } else { + throw new Error('Failed to retrieve secret value.') + } + } catch (error) { + console.error(error) + throw new Error('Failed to decrypt credential data.') + } + } else { + // Fallback to existing code + const encryptKey = await getEncryptionKey() + const decryptedData = AES.decrypt(encryptedData, encryptKey) + decryptedDataStr = decryptedData.toString(enc.Utf8) + } + if (!decryptedDataStr) return {} try { if (componentCredentialName && componentCredentials) { - const plainDataObj = JSON.parse(decryptedData.toString(enc.Utf8)) + const plainDataObj = JSON.parse(decryptedDataStr) return redactCredentialWithPasswordType(componentCredentialName, plainDataObj, componentCredentials) } - return JSON.parse(decryptedData.toString(enc.Utf8)) + return JSON.parse(decryptedDataStr) } catch (e) { console.error(e) return {} } } +/** + * Generate an encryption key + * @returns {string} + */ +export const generateEncryptKey = (): string => { + return randomBytes(24).toString('base64') +} + /** * Transform ICredentialBody from req to Credential entity * @param {ICredentialReqBody} body @@ -1587,3 +1749,66 @@ export const convertToValidFilename = (word: string) => { .replace(' ', '') .toLowerCase() } + +export const aMonthAgo = () => { + const date = new Date() + date.setMonth(new Date().getMonth() - 1) + return date +} + +export const getAPIOverrideConfig = (chatflow: IChatFlow) => { + try { + const apiConfig = chatflow.apiConfig ? JSON.parse(chatflow.apiConfig) : {} + const nodeOverrides: INodeOverrides = + apiConfig.overrideConfig && apiConfig.overrideConfig.nodes ? apiConfig.overrideConfig.nodes : {} + const variableOverrides: IVariableOverride[] = + apiConfig.overrideConfig && apiConfig.overrideConfig.variables ? apiConfig.overrideConfig.variables : [] + const apiOverrideStatus: boolean = + apiConfig.overrideConfig && apiConfig.overrideConfig.status ? apiConfig.overrideConfig.status : false + + return { nodeOverrides, variableOverrides, apiOverrideStatus } + } catch (error) { + return { nodeOverrides: {}, variableOverrides: [], apiOverrideStatus: false } + } +} + +export const getUploadPath = (): string => { + return process.env.BLOB_STORAGE_PATH + ? path.join(process.env.BLOB_STORAGE_PATH, 'uploads') + : path.join(getUserHome(), '.flowise', 'uploads') +} + +const getOrgId = () => { + const settingsContent = fs.readFileSync(getUserSettingsFilePath(), 'utf8') + try { + const settings = JSON.parse(settingsContent) + return settings.instanceId + } catch (error) { + return '' + } +} + +export const getMulterStorage = () => { + const storageType = process.env.STORAGE_TYPE ? process.env.STORAGE_TYPE : 'local' + + if (storageType === 's3') { + const s3Client = getS3Config().s3Client + const Bucket = getS3Config().Bucket + + const upload = multer({ + storage: multerS3({ + s3: s3Client, + bucket: Bucket, + metadata: function (req, file, cb) { + cb(null, { fieldName: file.fieldname, originalName: file.originalname, orgId: getOrgId() }) + }, + key: function (req, file, cb) { + cb(null, `${getOrgId()}/${Date.now().toString()}`) + } + }) + }) + return upload + } else { + return multer({ dest: getUploadPath() }) + } +} diff --git a/packages/server/src/utils/logger.ts b/packages/server/src/utils/logger.ts index c9d8cc72806..207f7ce34e9 100644 --- a/packages/server/src/utils/logger.ts +++ b/packages/server/src/utils/logger.ts @@ -1,11 +1,58 @@ import * as path from 'path' import * as fs from 'fs' +import { hostname } from 'node:os' import config from './config' // should be replaced by node-config or similar import { createLogger, transports, format } from 'winston' import { NextFunction, Request, Response } from 'express' +import { S3ClientConfig } from '@aws-sdk/client-s3' + +const { S3StreamLogger } = require('s3-streamlogger') const { combine, timestamp, printf, errors } = format +let s3ServerStream: any +let s3ErrorStream: any +let s3ServerReqStream: any +if (process.env.STORAGE_TYPE === 's3') { + const accessKeyId = process.env.S3_STORAGE_ACCESS_KEY_ID + const secretAccessKey = process.env.S3_STORAGE_SECRET_ACCESS_KEY + const region = process.env.S3_STORAGE_REGION + const s3Bucket = process.env.S3_STORAGE_BUCKET_NAME + const customURL = process.env.S3_ENDPOINT_URL + const forcePathStyle = process.env.S3_FORCE_PATH_STYLE === 'true' + + const s3Config: S3ClientConfig = { + region: region, + endpoint: customURL, + forcePathStyle: forcePathStyle, + credentials: { + accessKeyId: accessKeyId as string, + secretAccessKey: secretAccessKey as string + } + } + + s3ServerStream = new S3StreamLogger({ + bucket: s3Bucket, + folder: 'logs/server', + name_format: `server-%Y-%m-%d-%H-%M-%S-%L-${hostname()}.log`, + config: s3Config + }) + + s3ErrorStream = new S3StreamLogger({ + bucket: s3Bucket, + folder: 'logs/error', + name_format: `server-error-%Y-%m-%d-%H-%M-%S-%L-${hostname()}.log`, + config: s3Config + }) + + s3ServerReqStream = new S3StreamLogger({ + bucket: s3Bucket, + folder: 'logs/requests', + name_format: `server-requests-%Y-%m-%d-%H-%M-%S-%L-${hostname()}.log.jsonl`, + config: s3Config + }) +} + // expect the log dir be relative to the projects root const logDir = config.logging.dir @@ -29,33 +76,60 @@ const logger = createLogger({ }, transports: [ new transports.Console(), - new transports.File({ - filename: path.join(logDir, config.logging.server.filename ?? 'server.log'), - level: config.logging.server.level ?? 'info' - }), - new transports.File({ - filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log'), - level: 'error' // Log only errors to this file - }) + ...(!process.env.STORAGE_TYPE || process.env.STORAGE_TYPE === 'local' + ? [ + new transports.File({ + filename: path.join(logDir, config.logging.server.filename ?? 'server.log'), + level: config.logging.server.level ?? 'info' + }), + new transports.File({ + filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log'), + level: 'error' // Log only errors to this file + }) + ] + : []), + ...(process.env.STORAGE_TYPE === 's3' + ? [ + new transports.Stream({ + stream: s3ServerStream + }) + ] + : []) ], exceptionHandlers: [ - new transports.File({ - filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log') - }) + ...(!process.env.STORAGE_TYPE || process.env.STORAGE_TYPE === 'local' + ? [ + new transports.File({ + filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log') + }) + ] + : []), + ...(process.env.STORAGE_TYPE === 's3' + ? [ + new transports.Stream({ + stream: s3ErrorStream + }) + ] + : []) ], rejectionHandlers: [ - new transports.File({ - filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log') - }) + ...(!process.env.STORAGE_TYPE || process.env.STORAGE_TYPE === 'local' + ? [ + new transports.File({ + filename: path.join(logDir, config.logging.server.errorFilename ?? 'server-error.log') + }) + ] + : []), + ...(process.env.STORAGE_TYPE === 's3' + ? [ + new transports.Stream({ + stream: s3ErrorStream + }) + ] + : []) ] }) -/** - * This function is used by express as a middleware. - * @example - * this.app = express() - * this.app.use(expressRequestLogger) - */ export function expressRequestLogger(req: Request, res: Response, next: NextFunction): void { const unwantedLogURLs = ['/api/v1/node-icon/', '/api/v1/components-credentials-icon/'] if (/\/api\/v1\//i.test(req.url) && !unwantedLogURLs.some((url) => new RegExp(url, 'i').test(req.url))) { @@ -73,10 +147,21 @@ export function expressRequestLogger(req: Request, res: Response, next: NextFunc } }, transports: [ - new transports.File({ - filename: path.join(logDir, config.logging.express.filename ?? 'server-requests.log.jsonl'), - level: config.logging.express.level ?? 'debug' - }) + ...(!process.env.STORAGE_TYPE || process.env.STORAGE_TYPE === 'local' + ? [ + new transports.File({ + filename: path.join(logDir, config.logging.express.filename ?? 'server-requests.log.jsonl'), + level: config.logging.express.level ?? 'debug' + }) + ] + : []), + ...(process.env.STORAGE_TYPE === 's3' + ? [ + new transports.Stream({ + stream: s3ServerReqStream + }) + ] + : []) ] }) diff --git a/packages/server/src/utils/prompt.ts b/packages/server/src/utils/prompt.ts new file mode 100644 index 00000000000..a2862042f86 --- /dev/null +++ b/packages/server/src/utils/prompt.ts @@ -0,0 +1,57 @@ +export const ASSISTANT_PROMPT_GENERATOR = `Given a task description, produce a detailed system prompt to guide a language model in completing the task effectively. + + +{{task}} + + +# Guidelines + +- Understand the Task: Grasp the main objective, goals, requirements, constraints, and expected output. +- Minimal Changes: If an existing prompt is provided, improve it only if it's simple. For complex prompts, enhance clarity and add missing elements without altering the original structure. +- Reasoning Before Conclusions**: Encourage reasoning steps before any conclusions are reached. ATTENTION! If the user provides examples where the reasoning happens afterward, REVERSE the order! NEVER START EXAMPLES WITH CONCLUSIONS! + - Reasoning Order: Call out reasoning portions of the prompt and conclusion parts (specific fields by name). For each, determine the ORDER in which this is done, and whether it needs to be reversed. + - Conclusion, classifications, or results should ALWAYS appear last. +- Examples: Include high-quality examples if helpful, using placeholders [in brackets] for complex elements. + - What kinds of examples may need to be included, how many, and whether they are complex enough to benefit from placeholders. +- Clarity and Conciseness: Use clear, specific language. Avoid unnecessary instructions or bland statements. +- Formatting: Use markdown features for readability. DO NOT USE \`\`\` CODE BLOCKS UNLESS SPECIFICALLY REQUESTED. +- Preserve User Content: If the input task or prompt includes extensive guidelines or examples, preserve them entirely, or as closely as possible. If they are vague, consider breaking down into sub-steps. Keep any details, guidelines, examples, variables, or placeholders provided by the user. +- Constants: DO include constants in the prompt, as they are not susceptible to prompt injection. Such as guides, rubrics, and examples. +- Output Format: Explicitly the most appropriate output format, in detail. This should include length and syntax (e.g. short sentence, paragraph, JSON, etc.) + - For tasks outputting well-defined or structured data (classification, JSON, etc.) bias toward outputting a JSON. + - JSON should never be wrapped in code blocks (\`\`\`) unless explicitly requested. + +The final prompt you output should adhere to the following structure below. Do not include any additional commentary, only output the completed system prompt. SPECIFICALLY, do not include any additional messages at the start or end of the prompt. (e.g. no "---") + +[Concise instruction describing the task - this should be the first line in the prompt, no section header] + +[Additional details as needed.] + +[Optional sections with headings or bullet points for detailed steps.] + +# Steps [optional] + +[optional: a detailed breakdown of the steps necessary to accomplish the task] + +# Output Format + +[Specifically call out how the output should be formatted, be it response length, structure e.g. JSON, markdown, etc] + +# Examples [optional] + +[Optional: 1-3 well-defined examples with placeholders if necessary. Clearly mark where examples start and end, and what the input and output are. User placeholders as necessary.] +[If the examples are shorter than what a realistic example is expected to be, make a reference with () explaining how real examples should be longer / shorter / different. AND USE PLACEHOLDERS! ] + +# Notes [optional] + +[optional: edge cases, details, and an area to call or repeat out specific important considerations]` + +export const DOCUMENTSTORE_TOOL_DESCRIPTION_PROMPT_GENERATOR = `Here's the document context for which I would like you to create a short sentence of, under what condition this information is useful. Sentence must not more than 1024 characters. + + +{context} + + +Based on context, please create a short sentence that another AI could use as tool description. The short sentence should: +- Use the same language as context. +Please generate the short sentence and output only the short sentence.` diff --git a/packages/server/src/utils/rateLimit.ts b/packages/server/src/utils/rateLimit.ts index 0c08f1d24e7..4e8e9db4bda 100644 --- a/packages/server/src/utils/rateLimit.ts +++ b/packages/server/src/utils/rateLimit.ts @@ -1,48 +1,174 @@ import { NextFunction, Request, Response } from 'express' import { rateLimit, RateLimitRequestHandler } from 'express-rate-limit' -import { IChatFlow } from '../Interface' +import { IChatFlow, MODE } from '../Interface' import { Mutex } from 'async-mutex' +import { RedisStore } from 'rate-limit-redis' +import Redis from 'ioredis' +import { QueueEvents, QueueEventsListener, QueueEventsProducer } from 'bullmq' -let rateLimiters: Record = {} -const rateLimiterMutex = new Mutex() - -async function addRateLimiter(id: string, duration: number, limit: number, message: string) { - const release = await rateLimiterMutex.acquire() - try { - rateLimiters[id] = rateLimit({ - windowMs: duration * 1000, - max: limit, - handler: (_, res) => { - res.status(429).send(message) +interface CustomListener extends QueueEventsListener { + updateRateLimiter: (args: { limitDuration: number; limitMax: number; limitMsg: string; id: string }) => void +} + +const QUEUE_NAME = 'ratelimit' +const QUEUE_EVENT_NAME = 'updateRateLimiter' + +export class RateLimiterManager { + private rateLimiters: Record = {} + private rateLimiterMutex: Mutex = new Mutex() + private redisClient: Redis + private static instance: RateLimiterManager + private queueEventsProducer: QueueEventsProducer + private queueEvents: QueueEvents + + constructor() { + if (process.env.MODE === MODE.QUEUE) { + if (process.env.REDIS_URL) { + this.redisClient = new Redis(process.env.REDIS_URL) + } else { + this.redisClient = new Redis({ + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + tls: + process.env.REDIS_TLS === 'true' + ? { + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + : undefined + }) } - }) - } finally { - release() + this.queueEventsProducer = new QueueEventsProducer(QUEUE_NAME, { connection: this.getConnection() }) + this.queueEvents = new QueueEvents(QUEUE_NAME, { connection: this.getConnection() }) + } } -} -export function getRateLimiter(req: Request, res: Response, next: NextFunction) { - const id = req.params.id - if (!rateLimiters[id]) return next() - const idRateLimiter = rateLimiters[id] - return idRateLimiter(req, res, next) -} + getConnection() { + let tlsOpts = undefined + if (process.env.REDIS_URL && process.env.REDIS_URL.startsWith('rediss://')) { + tlsOpts = { + rejectUnauthorized: false + } + } else if (process.env.REDIS_TLS === 'true') { + tlsOpts = { + cert: process.env.REDIS_CERT ? Buffer.from(process.env.REDIS_CERT, 'base64') : undefined, + key: process.env.REDIS_KEY ? Buffer.from(process.env.REDIS_KEY, 'base64') : undefined, + ca: process.env.REDIS_CA ? Buffer.from(process.env.REDIS_CA, 'base64') : undefined + } + } + return { + url: process.env.REDIS_URL || undefined, + host: process.env.REDIS_HOST || 'localhost', + port: parseInt(process.env.REDIS_PORT || '6379'), + username: process.env.REDIS_USERNAME || undefined, + password: process.env.REDIS_PASSWORD || undefined, + tls: tlsOpts + } + } + + public static getInstance(): RateLimiterManager { + if (!RateLimiterManager.instance) { + RateLimiterManager.instance = new RateLimiterManager() + } + return RateLimiterManager.instance + } + + public async addRateLimiter(id: string, duration: number, limit: number, message: string): Promise { + const release = await this.rateLimiterMutex.acquire() + try { + if (process.env.MODE === MODE.QUEUE) { + this.rateLimiters[id] = rateLimit({ + windowMs: duration * 1000, + max: limit, + standardHeaders: true, + legacyHeaders: false, + message, + store: new RedisStore({ + prefix: `rl:${id}`, + // @ts-expect-error - Known issue: the `call` function is not present in @types/ioredis + sendCommand: (...args: string[]) => this.redisClient.call(...args) + }) + }) + } else { + this.rateLimiters[id] = rateLimit({ + windowMs: duration * 1000, + max: limit, + message + }) + } + } finally { + release() + } + } + + public removeRateLimiter(id: string): void { + if (this.rateLimiters[id]) { + delete this.rateLimiters[id] + } + } -export async function createRateLimiter(chatFlow: IChatFlow) { - if (!chatFlow.apiConfig) return - const apiConfig = JSON.parse(chatFlow.apiConfig) + public getRateLimiter(): (req: Request, res: Response, next: NextFunction) => void { + return (req: Request, res: Response, next: NextFunction) => { + const id = req.params.id + if (!this.rateLimiters[id]) return next() + const idRateLimiter = this.rateLimiters[id] + return idRateLimiter(req, res, next) + } + } - const rateLimit: { limitDuration: number; limitMax: number; limitMsg: string } = apiConfig.rateLimit - if (!rateLimit) return + public async updateRateLimiter(chatFlow: IChatFlow, isInitialized?: boolean): Promise { + if (!chatFlow.apiConfig) return + const apiConfig = JSON.parse(chatFlow.apiConfig) - const { limitDuration, limitMax, limitMsg } = rateLimit - if (limitMax && limitDuration && limitMsg) await addRateLimiter(chatFlow.id, limitDuration, limitMax, limitMsg) -} + const rateLimit: { limitDuration: number; limitMax: number; limitMsg: string; status?: boolean } = apiConfig.rateLimit + if (!rateLimit) return -export async function initializeRateLimiter(chatFlowPool: IChatFlow[]) { - await Promise.all( - chatFlowPool.map(async (chatFlow) => { - await createRateLimiter(chatFlow) - }) - ) + const { limitDuration, limitMax, limitMsg, status } = rateLimit + + if (!isInitialized && process.env.MODE === MODE.QUEUE && this.queueEventsProducer) { + await this.queueEventsProducer.publishEvent({ + eventName: QUEUE_EVENT_NAME, + limitDuration, + limitMax, + limitMsg, + id: chatFlow.id + }) + } else { + if (status === false) { + this.removeRateLimiter(chatFlow.id) + } else if (limitMax && limitDuration && limitMsg) { + await this.addRateLimiter(chatFlow.id, limitDuration, limitMax, limitMsg) + } + } + } + + public async initializeRateLimiters(chatflows: IChatFlow[]): Promise { + await Promise.all( + chatflows.map(async (chatFlow) => { + await this.updateRateLimiter(chatFlow, true) + }) + ) + + if (process.env.MODE === MODE.QUEUE && this.queueEvents) { + this.queueEvents.on( + QUEUE_EVENT_NAME, + async ({ + limitDuration, + limitMax, + limitMsg, + id + }: { + limitDuration: number + limitMax: number + limitMsg: string + id: string + }) => { + await this.addRateLimiter(id, limitDuration, limitMax, limitMsg) + } + ) + } + } } diff --git a/packages/server/src/utils/updateChatMessageFeedback.ts b/packages/server/src/utils/updateChatMessageFeedback.ts index ef327fa78f3..69cdffd8b4a 100644 --- a/packages/server/src/utils/updateChatMessageFeedback.ts +++ b/packages/server/src/utils/updateChatMessageFeedback.ts @@ -1,6 +1,8 @@ import { IChatMessageFeedback } from '../Interface' import { getRunningExpressApp } from '../utils/getRunningExpressApp' import { ChatMessageFeedback } from '../database/entities/ChatMessageFeedback' +import { ChatFlow } from '../database/entities/ChatFlow' +import lunary from 'lunary' /** * Method that updates chat message feedback. @@ -11,6 +13,21 @@ export const utilUpdateChatMessageFeedback = async (id: string, chatMessageFeedb const appServer = getRunningExpressApp() const newChatMessageFeedback = new ChatMessageFeedback() Object.assign(newChatMessageFeedback, chatMessageFeedback) + await appServer.AppDataSource.getRepository(ChatMessageFeedback).update({ id }, chatMessageFeedback) + + // Fetch the updated entity + const updatedFeedback = await appServer.AppDataSource.getRepository(ChatMessageFeedback).findOne({ where: { id } }) + + const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOne({ where: { id: updatedFeedback?.chatflowid } }) + const analytic = JSON.parse(chatflow?.analytic ?? '{}') + + if (analytic?.lunary?.status === true && updatedFeedback?.rating) { + lunary.trackFeedback(updatedFeedback.messageId, { + comment: updatedFeedback?.content, + thumb: updatedFeedback?.rating === 'THUMBS_UP' ? 'up' : 'down' + }) + } + return { status: 'OK' } } diff --git a/packages/server/src/utils/upsertVector.ts b/packages/server/src/utils/upsertVector.ts index c94f8c2d76b..3287e452658 100644 --- a/packages/server/src/utils/upsertVector.ts +++ b/packages/server/src/utils/upsertVector.ts @@ -1,172 +1,280 @@ import { Request } from 'express' -import * as fs from 'fs' +import * as path from 'path' import { cloneDeep, omit } from 'lodash' -import { ICommonObject, IMessage, addArrayFilesToStorage } from 'flowise-components' -import telemetryService from '../services/telemetry' +import { + IMessage, + addArrayFilesToStorage, + mapMimeTypeToInputField, + mapExtToInputField, + getFileFromUpload, + removeSpecificFileFromUpload +} from 'flowise-components' import logger from '../utils/logger' import { buildFlow, constructGraphs, getAllConnectedNodes, - mapMimeTypeToInputField, findMemoryNode, getMemorySessionId, getAppVersion, getTelemetryFlowObj, - getStartingNodes + getStartingNodes, + getAPIOverrideConfig } from '../utils' -import { utilValidateKey } from './validateKey' -import { IncomingInput, INodeDirectedGraph, IReactFlowObject, chatType } from '../Interface' +import { validateChatflowAPIKey } from './validateKey' +import { IncomingInput, INodeDirectedGraph, IReactFlowObject, ChatType, IExecuteFlowParams, MODE } from '../Interface' import { ChatFlow } from '../database/entities/ChatFlow' import { getRunningExpressApp } from '../utils/getRunningExpressApp' import { UpsertHistory } from '../database/entities/UpsertHistory' import { InternalFlowiseError } from '../errors/internalFlowiseError' import { StatusCodes } from 'http-status-codes' import { getErrorMessage } from '../errors/utils' +import { v4 as uuidv4 } from 'uuid' +import { FLOWISE_COUNTER_STATUS, FLOWISE_METRIC_COUNTERS } from '../Interface.Metrics' +import { Variable } from '../database/entities/Variable' +import { OMIT_QUEUE_JOB_DATA } from './constants' -/** - * Upsert documents - * @param {Request} req - * @param {boolean} isInternal - */ -export const upsertVector = async (req: Request, isInternal: boolean = false) => { - try { - const appServer = getRunningExpressApp() - const chatflowid = req.params.id - let incomingInput: IncomingInput = req.body +export const executeUpsert = async ({ + user, + componentNodes, + incomingInput, + chatflow, + chatId, + appDataSource, + telemetry, + cachePool, + isInternal, + files +}: IExecuteFlowParams) => { + const question = incomingInput.question + let overrideConfig = incomingInput.overrideConfig ?? {} + let stopNodeId = incomingInput?.stopNodeId ?? '' + const chatHistory: IMessage[] = [] + const isUpsert = true + const chatflowid = chatflow.id + const apiMessageId = uuidv4() - const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ - id: chatflowid - }) - if (!chatflow) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) - } + if (files?.length) { + overrideConfig = { ...incomingInput } + for (const file of files) { + const fileNames: string[] = [] + const fileBuffer = await getFileFromUpload(file.path ?? file.key) + // Address file name with special characters: https://github.com/expressjs/multer/issues/1104 + file.originalname = Buffer.from(file.originalname, 'latin1').toString('utf8') + const storagePath = await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, chatflowid) - if (!isInternal) { - const isKeyValidated = await utilValidateKey(req, chatflow) - if (!isKeyValidated) { - throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) - } - } + const fileInputFieldFromMimeType = mapMimeTypeToInputField(file.mimetype) - const files = (req.files as Express.Multer.File[]) || [] + const fileExtension = path.extname(file.originalname) - if (files.length) { - const overrideConfig: ICommonObject = { ...req.body } - const fileNames: string[] = [] - for (const file of files) { - const fileBuffer = fs.readFileSync(file.path) + const fileInputFieldFromExt = mapExtToInputField(fileExtension) - const storagePath = await addArrayFilesToStorage(file.mimetype, fileBuffer, file.originalname, fileNames, chatflowid) + let fileInputField = 'txtFile' - const fileInputField = mapMimeTypeToInputField(file.mimetype) + if (fileInputFieldFromExt !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } else if (fileInputFieldFromMimeType !== 'txtFile') { + fileInputField = fileInputFieldFromExt + } - overrideConfig[fileInputField] = storagePath + if (overrideConfig[fileInputField]) { + const existingFileInputField = overrideConfig[fileInputField].replace('FILE-STORAGE::', '') + const existingFileInputFieldArray = JSON.parse(existingFileInputField) - fs.unlinkSync(file.path) - } - incomingInput = { - question: req.body.question ?? 'hello', - overrideConfig, - stopNodeId: req.body.stopNodeId + const newFileInputField = storagePath.replace('FILE-STORAGE::', '') + const newFileInputFieldArray = JSON.parse(newFileInputField) + + const updatedFieldArray = existingFileInputFieldArray.concat(newFileInputFieldArray) + + overrideConfig[fileInputField] = `FILE-STORAGE::${JSON.stringify(updatedFieldArray)}` + } else { + overrideConfig[fileInputField] = storagePath } + + await removeSpecificFileFromUpload(file.path ?? file.key) + } + if (overrideConfig.vars && typeof overrideConfig.vars === 'string') { + overrideConfig.vars = JSON.parse(overrideConfig.vars) } + incomingInput = { + ...incomingInput, + question: '', + overrideConfig, + stopNodeId, + chatId + } + } - /*** Get chatflows and prepare data ***/ - const flowData = chatflow.flowData - const parsedFlowData: IReactFlowObject = JSON.parse(flowData) - const nodes = parsedFlowData.nodes - const edges = parsedFlowData.edges + /*** Get chatflows and prepare data ***/ + const flowData = chatflow.flowData + const parsedFlowData: IReactFlowObject = JSON.parse(flowData) + const nodes = parsedFlowData.nodes + const edges = parsedFlowData.edges - let stopNodeId = incomingInput?.stopNodeId ?? '' - let chatHistory: IMessage[] = [] - let chatId = incomingInput.chatId ?? '' - let isUpsert = true + /*** Get session ID ***/ + const memoryNode = findMemoryNode(nodes, edges) + let sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal) - // Get session ID - const memoryNode = findMemoryNode(nodes, edges) - let sessionId = getMemorySessionId(memoryNode, incomingInput, chatId, isInternal) + /*** Find the 1 final vector store will be upserted ***/ + const vsNodes = nodes.filter((node) => node.data.category === 'Vector Stores') + const vsNodesWithFileUpload = vsNodes.filter((node) => node.data.inputs?.fileUpload) + if (vsNodesWithFileUpload.length > 1) { + throw new InternalFlowiseError(StatusCodes.INTERNAL_SERVER_ERROR, 'Multiple vector store nodes with fileUpload enabled') + } else if (vsNodesWithFileUpload.length === 1 && !stopNodeId) { + stopNodeId = vsNodesWithFileUpload[0].data.id + } - const vsNodes = nodes.filter( - (node) => - node.data.category === 'Vector Stores' && !node.data.label.includes('Upsert') && !node.data.label.includes('Load Existing') + /*** Check if multiple vector store nodes exist, and if stopNodeId is specified ***/ + if (vsNodes.length > 1 && !stopNodeId) { + throw new InternalFlowiseError( + StatusCodes.INTERNAL_SERVER_ERROR, + 'There are multiple vector nodes, please provide stopNodeId in body request' ) + } else if (vsNodes.length === 1 && !stopNodeId) { + stopNodeId = vsNodes[0].data.id + } else if (!vsNodes.length && !stopNodeId) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, 'No vector node found') + } - // Check if multiple vector store nodes exist, and if stopNodeId is specified - if (vsNodes.length > 1 && !stopNodeId) { - throw new InternalFlowiseError( - StatusCodes.INTERNAL_SERVER_ERROR, - 'There are multiple vector nodes, please provide stopNodeId in body request' - ) - } else if (vsNodes.length === 1 && !stopNodeId) { - stopNodeId = vsNodes[0].data.id - } else if (!vsNodes.length && !stopNodeId) { - throw new InternalFlowiseError(StatusCodes.NOT_FOUND, 'No vector node found') + /*** Get Starting Nodes with Reversed Graph ***/ + const { graph } = constructGraphs(nodes, edges, { isReversed: true }) + const nodeIds = getAllConnectedNodes(graph, stopNodeId) + const filteredGraph: INodeDirectedGraph = {} + for (const key of nodeIds) { + if (Object.prototype.hasOwnProperty.call(graph, key)) { + filteredGraph[key] = graph[key] } + } + const { startingNodeIds, depthQueue } = getStartingNodes(filteredGraph, stopNodeId) - const { graph } = constructGraphs(nodes, edges, { isReversed: true }) + /*** Get API Config ***/ + const availableVariables = await appDataSource.getRepository(Variable).find({ where: { userId: user.id } }) + const { nodeOverrides, variableOverrides, apiOverrideStatus } = getAPIOverrideConfig(chatflow) - const nodeIds = getAllConnectedNodes(graph, stopNodeId) + const upsertedResult = await buildFlow({ + user, + startingNodeIds, + reactFlowNodes: nodes, + reactFlowEdges: edges, + apiMessageId, + graph: filteredGraph, + depthQueue, + componentNodes, + question, + chatHistory, + chatId, + sessionId, + chatflowid, + appDataSource, + overrideConfig, + apiOverrideStatus, + nodeOverrides, + availableVariables, + variableOverrides, + cachePool, + isUpsert, + stopNodeId + }) - const filteredGraph: INodeDirectedGraph = {} - for (const key of nodeIds) { - if (Object.prototype.hasOwnProperty.call(graph, key)) { - filteredGraph[key] = graph[key] - } + // Save to DB + if (upsertedResult['flowData'] && upsertedResult['result']) { + const result = cloneDeep(upsertedResult) + result['flowData'] = JSON.stringify(result['flowData']) + result['result'] = JSON.stringify(omit(result['result'], ['totalKeys', 'addedDocs'])) + result.chatflowid = chatflowid + const newUpsertHistory = new UpsertHistory() + Object.assign(newUpsertHistory, result) + const upsertHistory = appDataSource.getRepository(UpsertHistory).create(newUpsertHistory) + await appDataSource.getRepository(UpsertHistory).save(upsertHistory) + } + + await telemetry.sendTelemetry('vector_upserted', { + version: await getAppVersion(), + chatlowId: chatflowid, + type: isInternal ? ChatType.INTERNAL : ChatType.EXTERNAL, + flowGraph: getTelemetryFlowObj(nodes, edges), + stopNodeId + }) + + return upsertedResult['result'] ?? { result: 'Successfully Upserted' } +} + +/** + * Upsert documents + * @param {Request} req + * @param {boolean} isInternal + */ +export const upsertVector = async (req: Request, isInternal: boolean = false) => { + const appServer = getRunningExpressApp() + try { + const chatflowid = req.params.id + + // Check if chatflow exists + const chatflow = await appServer.AppDataSource.getRepository(ChatFlow).findOneBy({ + id: chatflowid + }) + if (!chatflow) { + throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow ${chatflowid} not found`) } - const { startingNodeIds, depthQueue } = getStartingNodes(filteredGraph, stopNodeId) + const httpProtocol = req.get('x-forwarded-proto') || req.protocol + const baseURL = `${httpProtocol}://${req.get('host')}` + const incomingInput: IncomingInput = req.body + const chatId = incomingInput.chatId ?? incomingInput.overrideConfig?.sessionId ?? uuidv4() + const files = (req.files as Express.Multer.File[]) || [] + + if (!isInternal) { + const isKeyValidated = await validateChatflowAPIKey(req, chatflow) + if (!isKeyValidated) { + throw new InternalFlowiseError(StatusCodes.UNAUTHORIZED, `Unauthorized`) + } + } - const upsertedResult = await buildFlow({ + const executeData: IExecuteFlowParams = { user: req.user!, - startingNodeIds, - reactFlowNodes: nodes, - reactFlowEdges: edges, - graph: filteredGraph, - depthQueue, componentNodes: appServer.nodesPool.componentNodes, - question: incomingInput.question, - chatHistory, + incomingInput, + chatflow, chatId, - sessionId: sessionId ?? '', - chatflowid, appDataSource: appServer.AppDataSource, - overrideConfig: incomingInput?.overrideConfig, + telemetry: appServer.telemetry, cachePool: appServer.cachePool, - isUpsert, - stopNodeId - }) + sseStreamer: appServer.sseStreamer, + baseURL, + isInternal, + files, + isUpsert: true + } - const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.data.id)) + if (process.env.MODE === MODE.QUEUE) { + const upsertQueue = appServer.queueManager.getQueue('upsert') - await appServer.chatflowPool.add(chatflowid, undefined, startingNodes, incomingInput?.overrideConfig) + const job = await upsertQueue.addJob(omit(executeData, OMIT_QUEUE_JOB_DATA)) + logger.debug(`[server]: Job added to queue: ${job.id}`) - // Save to DB - if (upsertedResult['flowData'] && upsertedResult['result']) { - const result = cloneDeep(upsertedResult) - result['flowData'] = JSON.stringify(result['flowData']) - result['result'] = JSON.stringify(omit(result['result'], ['totalKeys', 'addedDocs'])) - result.chatflowid = chatflowid - const newUpsertHistory = new UpsertHistory() - Object.assign(newUpsertHistory, result) - const upsertHistory = appServer.AppDataSource.getRepository(UpsertHistory).create(newUpsertHistory) - await appServer.AppDataSource.getRepository(UpsertHistory).save(upsertHistory) - } + const queueEvents = upsertQueue.getQueueEvents() + const result = await job.waitUntilFinished(queueEvents) - await telemetryService.createEvent({ - name: `vector_upserted`, - data: { - version: await getAppVersion(), - chatlowId: chatflowid, - type: isInternal ? chatType.INTERNAL : chatType.EXTERNAL, - flowGraph: getTelemetryFlowObj(nodes, edges), - stopNodeId + if (!result) { + throw new Error('Job execution failed') } - }) - return upsertedResult['result'] ?? { result: 'Successfully Upserted' } + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) + return result + } else { + const result = await executeUpsert(executeData) + + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { + status: FLOWISE_COUNTER_STATUS.SUCCESS + }) + return result + } } catch (e) { logger.error('[server]: Error:', e) + appServer.metricsProvider?.incrementCounter(FLOWISE_METRIC_COUNTERS.VECTORSTORE_UPSERT, { status: FLOWISE_COUNTER_STATUS.FAILURE }) + if (e instanceof InternalFlowiseError && e.statusCode === StatusCodes.UNAUTHORIZED) { throw e } else { diff --git a/packages/server/src/utils/validateKey.ts b/packages/server/src/utils/validateKey.ts index 4fc5cbdcd04..ead7df7d92f 100644 --- a/packages/server/src/utils/validateKey.ts +++ b/packages/server/src/utils/validateKey.ts @@ -2,14 +2,14 @@ import { Request } from 'express' import { ChatFlow } from '../database/entities/ChatFlow' import { compareKeys } from './apiKey' import apikeyService from '../services/apikey' + /** - * Validate API Key + * Validate Chatflow API Key * @param {Request} req - * @param {Response} res * @param {ChatFlow} chatflow */ -export const utilValidateKey = async (req: Request, chatflow: ChatFlow) => { - const chatFlowApiKeyId = chatflow.apikeyid +export const validateChatflowAPIKey = async (req: Request, chatflow: ChatFlow) => { + const chatFlowApiKeyId = chatflow?.apikeyid if (!chatFlowApiKeyId) return true const authorizationHeader = (req.headers['Authorization'] as string) ?? (req.headers['authorization'] as string) ?? '' @@ -24,3 +24,22 @@ export const utilValidateKey = async (req: Request, chatflow: ChatFlow) => { } return false } + +/** + * Validate API Key + * @param {Request} req + */ +export const validateAPIKey = async (req: Request) => { + const authorizationHeader = (req.headers['Authorization'] as string) ?? (req.headers['authorization'] as string) ?? '' + if (!authorizationHeader) return false + + const suppliedKey = authorizationHeader.split(`Bearer `).pop() + if (suppliedKey) { + const keys = await apikeyService.getAllApiKeys(req.user!) + const apiSecret = keys.find((key: any) => key.apiKey === suppliedKey)?.apiSecret + if (!apiSecret) return false + if (!compareKeys(apiSecret, suppliedKey)) return false + return true + } + return false +} diff --git a/packages/server/test/utils/validateKey.test.ts b/packages/server/test/utils/validateKey.test.ts index 7d1e3cdfeae..cf3552c1e93 100644 --- a/packages/server/test/utils/validateKey.test.ts +++ b/packages/server/test/utils/validateKey.test.ts @@ -1,11 +1,11 @@ import { Request } from 'express' import { ChatFlow } from '../../src/database/entities/ChatFlow' -import { utilValidateKey } from '../../src/utils/validateKey' +import { validateChatflowAPIKey } from '../../src/utils/validateKey' import { compareKeys, getAPIKeys } from '../../src/utils/apiKey' jest.mock('../../src/utils/apiKey') -describe('utilValidateKey', () => { +describe('validateChatflowAPIKey', () => { let req: Partial let chatflow: ChatFlow @@ -19,13 +19,13 @@ describe('utilValidateKey', () => { }) it('should return true if chatflow.apikeyid is not set', async () => { - const result = await utilValidateKey(req as Request, chatflow) + const result = await validateChatflowAPIKey(req as Request, chatflow) expect(result).toBe(true) }) it('should return false if chatflow.apikeyid is set but authorization header is missing', async () => { chatflow.apikeyid = 'some-api-key-id' - const result = await utilValidateKey(req as Request, chatflow) + const result = await validateChatflowAPIKey(req as Request, chatflow) expect(result).toBe(false) }) @@ -35,7 +35,7 @@ describe('utilValidateKey', () => { ;(getAPIKeys as jest.Mock).mockResolvedValue([{ id: 'some-api-key-id', apiSecret: 'expected-secret-key' }]) ;(compareKeys as jest.Mock).mockImplementation((expected, supplied) => expected === supplied) - const result = await utilValidateKey(req as Request, chatflow) + const result = await validateChatflowAPIKey(req as Request, chatflow) expect(result).toBe(false) }) }) diff --git a/packages/ui/.env.example b/packages/ui/.env.example index db18b4cda21..e336a6e539d 100644 --- a/packages/ui/.env.example +++ b/packages/ui/.env.example @@ -1 +1,4 @@ VITE_PORT=8080 + +# VITE_API_BASE_URL=http://localhost:3000 +# VITE_UI_BASE_URL=http://localhost:3000 \ No newline at end of file diff --git a/packages/ui/package.json b/packages/ui/package.json index 360f92b41b7..aab239ff513 100644 --- a/packages/ui/package.json +++ b/packages/ui/package.json @@ -1,6 +1,6 @@ { "name": "flowise-ui", - "version": "2.0.4", + "version": "2.2.7", "license": "SEE LICENSE IN LICENSE.md", "homepage": "https://flowiseai.com", "author": { @@ -14,7 +14,9 @@ "@emotion/cache": "^11.4.0", "@emotion/react": "^11.10.6", "@emotion/styled": "^11.10.6", - "@auth0/auth0-react": "^2.2.4", + "@auth0/nextjs-auth0": "3.5.0", + "@auth0/auth0-react": "2.3.0", + "@microsoft/fetch-event-source": "^2.0.1", "@mui/base": "5.0.0-beta.40", "@mui/icons-material": "5.0.3", "@mui/lab": "5.0.0-alpha.156", @@ -24,7 +26,7 @@ "@uiw/codemirror-theme-sublime": "^4.21.21", "@uiw/codemirror-theme-vscode": "^4.21.21", "@uiw/react-codemirror": "^4.21.21", - "axios": "1.6.2", + "axios": "1.7.9", "clsx": "^1.1.1", "dotenv": "^16.0.0", "flagsmith": "^4.0.3", @@ -66,6 +68,7 @@ }, "scripts": { "not:dev": "vite", + "start": "vite", "not:build": "vite build", "clean": "rimraf build", "nuke": "rimraf build node_modules .turbo" diff --git a/packages/ui/src/AppProvider.jsx b/packages/ui/src/AppProvider.jsx index c9114ae7169..584f97e1fc9 100644 --- a/packages/ui/src/AppProvider.jsx +++ b/packages/ui/src/AppProvider.jsx @@ -21,13 +21,7 @@ import { ReactFlowContext } from '@/store/context/ReactFlowContext' export const Auth0Context = React.createContext({ isAuth0Ready: false }) // New component to wrap Auth0 setup -import { useAuth0Setup } from './hooks/useAuth0Setup' - -export const Auth0Setup = ({ children, apiHost, accessToken }) => { - const { isAuth0Ready, user } = useAuth0Setup(apiHost, accessToken) - - return {children} -} +import { Auth0Setup } from './hooks/useAuth0Setup' const AppProvider = ({ children, apiHost, accessToken }) => { return ( diff --git a/packages/ui/src/api/assistants.js b/packages/ui/src/api/assistants.js index cff722dbb86..bdfeecd515a 100644 --- a/packages/ui/src/api/assistants.js +++ b/packages/ui/src/api/assistants.js @@ -8,7 +8,7 @@ const getAllAvailableAssistants = (credentialId) => client.get(`/openai-assistan // Assistant const createNewAssistant = (body) => client.post(`/assistants`, body) -const getAllAssistants = () => client.get('/assistants') +const getAllAssistants = (type) => client.get('/assistants?type=' + type) const getSpecificAssistant = (id) => client.get(`/assistants/${id}`) @@ -44,6 +44,12 @@ const uploadFilesToAssistant = (credentialId, formData) => headers: { 'Content-Type': 'multipart/form-data' } }) +const getChatModels = () => client.get('/assistants/components/chatmodels') +const getDocStores = () => client.get('/assistants/components/docstores') +const getTools = () => client.get('/assistants/components/tools') + +const generateAssistantInstruction = (body) => client.post(`/assistants/generate/instruction`, body) + export default { getAllAssistants, getSpecificAssistant, @@ -59,5 +65,9 @@ export default { uploadFilesToAssistant, uploadFilesToAssistantVectorStore, deleteFilesFromAssistantVectorStore, - deleteAssistantVectorStore + deleteAssistantVectorStore, + getChatModels, + getDocStores, + getTools, + generateAssistantInstruction } diff --git a/packages/ui/src/api/attachments.js b/packages/ui/src/api/attachments.js new file mode 100644 index 00000000000..7e9ef372f9d --- /dev/null +++ b/packages/ui/src/api/attachments.js @@ -0,0 +1,10 @@ +import client from './client' + +const createAttachment = (chatflowid, chatid, formData) => + client.post(`/attachments/${chatflowid}/${chatid}`, formData, { + headers: { 'Content-Type': 'multipart/form-data' } + }) + +export default { + createAttachment +} diff --git a/packages/ui/src/api/chatflows.js b/packages/ui/src/api/chatflows.js index fb76d5d3912..6bdd6128599 100644 --- a/packages/ui/src/api/chatflows.js +++ b/packages/ui/src/api/chatflows.js @@ -1,6 +1,6 @@ import client from './client' -const getAllChatflows = () => client.get('/chatflows') +const getAllChatflows = () => client.get('/chatflows?type=CHATFLOW') const getAllAgentflows = () => client.get('/chatflows?type=MULTIAGENT') diff --git a/packages/ui/src/api/client.js b/packages/ui/src/api/client.js index 105339a3fdb..5659c4a15c9 100644 --- a/packages/ui/src/api/client.js +++ b/packages/ui/src/api/client.js @@ -5,7 +5,8 @@ const apiClient = axios.create({ baseURL: `${Constants.baseURL}/api/v1`, withCredentials: true, headers: { - 'Content-type': 'application/json' + 'Content-type': 'application/json', + 'x-request-from': 'internal' } }) diff --git a/packages/ui/src/api/documentstore.js b/packages/ui/src/api/documentstore.js index e96f9766eb0..16cf05e252a 100644 --- a/packages/ui/src/api/documentstore.js +++ b/packages/ui/src/api/documentstore.js @@ -1,11 +1,12 @@ import client from './client' -const getAllDocumentStores = () => client.get('/document-store/stores') +const getAllDocumentStores = () => client.get('/document-store/store') const getDocumentLoaders = () => client.get('/document-store/components/loaders') const getSpecificDocumentStore = (id) => client.get(`/document-store/store/${id}`) const createDocumentStore = (body) => client.post(`/document-store/store`, body) const updateDocumentStore = (id, body) => client.put(`/document-store/store/${id}`, body) const deleteDocumentStore = (id) => client.delete(`/document-store/store/${id}`) +const getDocumentStoreConfig = (storeId, loaderId) => client.get(`/document-store/store-configs/${storeId}/${loaderId}`) const deleteLoaderFromStore = (id, fileId) => client.delete(`/document-store/loader/${id}/${fileId}`) const deleteChunkFromStore = (storeId, loaderId, chunkId) => client.delete(`/document-store/chunks/${storeId}/${loaderId}/${chunkId}`) @@ -15,7 +16,9 @@ const editChunkFromStore = (storeId, loaderId, chunkId, body) => const getFileChunks = (storeId, fileId, pageNo) => client.get(`/document-store/chunks/${storeId}/${fileId}/${pageNo}`) const syncAndRefreshChunks = (storeId, fileId) => client.post(`/document-store/chunks/sync/${storeId}/${fileId}`) const previewChunks = (body) => client.post('/document-store/loader/preview', body) -const processChunks = (body) => client.post(`/document-store/loader/process`, body) +const processLoader = (body, loaderId) => client.post(`/document-store/loader/process/${loaderId}`, body) +const saveProcessingLoader = (body) => client.post(`/document-store/loader/save`, body) +const refreshLoader = (storeId) => client.post(`/document-store/refresh/${storeId}`) const insertIntoVectorStore = (body) => client.post(`/document-store/vectorstore/insert`, body) const saveVectorStoreConfig = (body) => client.post(`/document-store/vectorstore/save`, body) @@ -26,6 +29,8 @@ const getVectorStoreProviders = () => client.get('/document-store/components/vec const getEmbeddingProviders = () => client.get('/document-store/components/embeddings') const getRecordManagerProviders = () => client.get('/document-store/components/recordmanager') +const generateDocStoreToolDesc = (storeId, body) => client.post('/document-store/generate-tool-desc/' + storeId, body) + export default { getAllDocumentStores, getSpecificDocumentStore, @@ -34,7 +39,7 @@ export default { getFileChunks, updateDocumentStore, previewChunks, - processChunks, + processLoader, getDocumentLoaders, deleteChunkFromStore, editChunkFromStore, @@ -47,5 +52,9 @@ export default { queryVectorStore, deleteVectorStoreDataFromStore, updateVectorStoreConfig, - syncAndRefreshChunks + syncAndRefreshChunks, + saveProcessingLoader, + refreshLoader, + generateDocStoreToolDesc, + getDocumentStoreConfig } diff --git a/packages/ui/src/api/exportimport.js b/packages/ui/src/api/exportimport.js new file mode 100644 index 00000000000..7cab1a13997 --- /dev/null +++ b/packages/ui/src/api/exportimport.js @@ -0,0 +1,9 @@ +import client from './client' + +const exportData = (body) => client.post('/export-import/export', body) +const importData = (body) => client.post('/export-import/import', body) + +export default { + exportData, + importData +} diff --git a/packages/ui/src/api/marketplaces.js b/packages/ui/src/api/marketplaces.js index 9dd340477b6..c47f39e8b3e 100644 --- a/packages/ui/src/api/marketplaces.js +++ b/packages/ui/src/api/marketplaces.js @@ -4,8 +4,15 @@ const getAllToolsMarketplaces = () => client.get('/marketplaces/tools') const getAllTemplatesFromMarketplaces = () => client.get('/marketplaces/templates') const getSpecificMarketplaceTemplate = (id) => client.get(`/marketplaces/templates/${id}`) +const getAllCustomTemplates = () => client.get('/marketplaces/custom') +const saveAsCustomTemplate = (body) => client.post('/marketplaces/custom', body) +const deleteCustomTemplate = (id) => client.delete(`/marketplaces/custom/${id}`) + export default { getAllToolsMarketplaces, getAllTemplatesFromMarketplaces, - getSpecificMarketplaceTemplate + getSpecificMarketplaceTemplate, + getAllCustomTemplates, + saveAsCustomTemplate, + deleteCustomTemplate } diff --git a/packages/ui/src/api/prediction.js b/packages/ui/src/api/prediction.js index d3512843c2a..207d222f1a6 100644 --- a/packages/ui/src/api/prediction.js +++ b/packages/ui/src/api/prediction.js @@ -1,7 +1,9 @@ import client from './client' const sendMessageAndGetPrediction = (id, input) => client.post(`/internal-prediction/${id}`, input) +const sendMessageAndStreamPrediction = (id, input) => client.post(`/internal-prediction/stream/${id}`, input) export default { - sendMessageAndGetPrediction + sendMessageAndGetPrediction, + sendMessageAndStreamPrediction } diff --git a/packages/ui/src/api/vectorstore.js b/packages/ui/src/api/vectorstore.js index 64f2ce65bb0..54d1f4c076c 100644 --- a/packages/ui/src/api/vectorstore.js +++ b/packages/ui/src/api/vectorstore.js @@ -1,11 +1,16 @@ import client from './client' const upsertVectorStore = (id, input) => client.post(`/vector/internal-upsert/${id}`, input) +const upsertVectorStoreWithFormData = (id, formData) => + client.post(`/vector/internal-upsert/${id}`, formData, { + headers: { 'Content-Type': 'multipart/form-data' } + }) const getUpsertHistory = (id, params = {}) => client.get(`/upsert-history/${id}`, { params: { order: 'DESC', ...params } }) const deleteUpsertHistory = (ids) => client.patch(`/upsert-history`, { ids }) export default { getUpsertHistory, upsertVectorStore, + upsertVectorStoreWithFormData, deleteUpsertHistory } diff --git a/packages/ui/src/assets/images/Exporting.gif b/packages/ui/src/assets/images/Exporting.gif new file mode 100644 index 00000000000..be8de05e96e Binary files /dev/null and b/packages/ui/src/assets/images/Exporting.gif differ diff --git a/packages/ui/src/assets/images/anthropic.svg b/packages/ui/src/assets/images/anthropic.svg new file mode 100644 index 00000000000..84bc18ca51a --- /dev/null +++ b/packages/ui/src/assets/images/anthropic.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/ui/src/assets/images/arize.png b/packages/ui/src/assets/images/arize.png new file mode 100644 index 00000000000..23c851ce911 Binary files /dev/null and b/packages/ui/src/assets/images/arize.png differ diff --git a/packages/ui/src/assets/images/azure_openai.svg b/packages/ui/src/assets/images/azure_openai.svg new file mode 100644 index 00000000000..7b15081119e --- /dev/null +++ b/packages/ui/src/assets/images/azure_openai.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/ui/src/assets/images/fileAttachment.png b/packages/ui/src/assets/images/fileAttachment.png new file mode 100644 index 00000000000..8fb385c8c1b Binary files /dev/null and b/packages/ui/src/assets/images/fileAttachment.png differ diff --git a/packages/ui/src/assets/images/groq.gif b/packages/ui/src/assets/images/groq.gif new file mode 100644 index 00000000000..ea2b8821cf8 Binary files /dev/null and b/packages/ui/src/assets/images/groq.gif differ diff --git a/packages/ui/src/assets/images/groq.png b/packages/ui/src/assets/images/groq.png new file mode 100644 index 00000000000..ea2b8821cf8 Binary files /dev/null and b/packages/ui/src/assets/images/groq.png differ diff --git a/packages/ui/src/assets/images/lunary.svg b/packages/ui/src/assets/images/lunary.svg index 1528de5a93a..efcce28ad59 100644 --- a/packages/ui/src/assets/images/lunary.svg +++ b/packages/ui/src/assets/images/lunary.svg @@ -1,7 +1,26 @@ - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/packages/ui/src/assets/images/mistralai.svg b/packages/ui/src/assets/images/mistralai.svg new file mode 100644 index 00000000000..aa84b39c50a --- /dev/null +++ b/packages/ui/src/assets/images/mistralai.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/packages/ui/src/assets/images/ollama.svg b/packages/ui/src/assets/images/ollama.svg new file mode 100644 index 00000000000..6e9fb283c01 --- /dev/null +++ b/packages/ui/src/assets/images/ollama.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/packages/ui/src/assets/images/phoenix.png b/packages/ui/src/assets/images/phoenix.png new file mode 100644 index 00000000000..b25150526b7 Binary files /dev/null and b/packages/ui/src/assets/images/phoenix.png differ diff --git a/packages/ui/src/hooks/useApi.jsx b/packages/ui/src/hooks/useApi.jsx index be8b3b9abee..30179a43509 100644 --- a/packages/ui/src/hooks/useApi.jsx +++ b/packages/ui/src/hooks/useApi.jsx @@ -12,7 +12,7 @@ export default (apiFunc) => { setData(result.data) } catch (err) { if (err.response && err.response.status === 401) { - window.location.href = '/api/auth/login' + window.location.href = '/api/auth/login?redirect_uri=' + window.location.href } else { setError(err || 'Unexpected Error!') } diff --git a/packages/ui/src/hooks/useAuth0Setup.js b/packages/ui/src/hooks/useAuth0Setup.js index 8d94dc1e870..c24e383985d 100644 --- a/packages/ui/src/hooks/useAuth0Setup.js +++ b/packages/ui/src/hooks/useAuth0Setup.js @@ -2,13 +2,23 @@ import { useState, useEffect } from 'react' import { useUser } from '@auth0/nextjs-auth0/client' import { setBaseURL } from '../store/constant' +import { Auth0Context } from '@auth0/auth0-react' + +export const Auth0Setup = ({ children, apiHost, accessToken }) => { + const { isAuth0Ready, user } = useAuth0Setup(apiHost, accessToken) + + return {children} +} + export const useAuth0Setup = (apiHost, accessToken) => { const { user, isLoading, isAuthenticated, error } = useUser() const [isAuth0Ready, setIsAuth0Ready] = useState(false) useEffect(() => { const setBaseUrlEffect = () => { - if (user && user.chatflowDomain) { + if (process.env.CHATFLOW_DOMAIN_OVERRIDE) { + setBaseURL(process.env.CHATFLOW_DOMAIN_OVERRIDE) + } else if (user && user.chatflowDomain) { setBaseURL(user.chatflowDomain) } else if (apiHost) { setBaseURL(apiHost) diff --git a/packages/ui/src/hooks/useSearchShortcut.jsx b/packages/ui/src/hooks/useSearchShortcut.jsx new file mode 100644 index 00000000000..bbcc3149551 --- /dev/null +++ b/packages/ui/src/hooks/useSearchShortcut.jsx @@ -0,0 +1,35 @@ +import { useEffect } from 'react' +import { getOS } from '@/utils/genericHelper' + +const isMac = getOS() === 'macos' + +const useSearchShortcut = (inputRef) => { + useEffect(() => { + const component = inputRef.current + + if (!component) return // Check if inputRef.current is defined + + const handleKeyDown = (event) => { + if ((isMac && event.metaKey && event.key === 'f') || (!isMac && event.ctrlKey && event.key === 'f')) { + event.preventDefault() + component.focus() + } + } + + const handleInputEscape = (event) => { + if (event.key === 'Escape') component.blur() + } + + component.addEventListener('keydown', handleInputEscape) + document.addEventListener('keydown', handleKeyDown) + + return () => { + if (component) { + component.removeEventListener('keydown', handleInputEscape) + } + document.removeEventListener('keydown', handleKeyDown) + } + }, [inputRef]) // Add inputRef to the dependency array to ensure the effect is re-applied if inputRef changes +} + +export default useSearchShortcut diff --git a/packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx b/packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx index 0edeaeb62de..e68933a97a1 100644 --- a/packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx +++ b/packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx @@ -1,10 +1,12 @@ import dynamic from 'next/dynamic' import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction, MENU_OPEN, REMOVE_DIRTY } from '@/store/actions' -import { sanitizeChatflows } from '@/utils/genericHelper' +import { exportData, stringify } from '@/utils/exportImport' import useNotifier from '@/utils/useNotifier' import PropTypes from 'prop-types' import { useEffect, useRef, useState } from 'react' import { useDispatch, useSelector } from 'react-redux' +import { createPortal } from 'react-dom' + // material-ui import { Avatar, @@ -19,7 +21,14 @@ import { ListItemText, Paper, Popper, - Typography + Typography, + Dialog, + DialogTitle, + DialogContent, + Stack, + FormControlLabel, + Checkbox, + DialogActions } from '@mui/material' import { useTheme } from '@mui/material/styles' @@ -35,13 +44,114 @@ import Transitions from '@/ui-component/extended/Transitions' // assets import { IconFileExport, IconFileUpload, IconInfoCircle, IconLogout, IconSettings, IconX } from '@tabler/icons-react' import './index.css' +import ExportingGIF from '@/assets/images/Exporting.gif' //API -import chatFlowsApi from '@/api/chatflows' +import exportImportApi from '@/api/exportimport' // Hooks import useApi from '@/hooks/useApi' -import { useLocation, useNavigate } from '@/utils/navigation' +import { getErrorMessage } from '@/utils/errorHandler' +import { useNavigate } from '@/utils/navigation' + +const dataToExport = ['Chatflows', 'Agentflows', 'Tools', 'Variables', 'Assistants'] + +const ExportDialog = ({ show, onCancel, onExport }) => { + const portalElement = document.getElementById('portal') + + const [selectedData, setSelectedData] = useState(['Chatflows', 'Agentflows', 'Tools', 'Variables', 'Assistants']) + const [isExporting, setIsExporting] = useState(false) + + useEffect(() => { + if (show) setIsExporting(false) + + return () => { + setIsExporting(false) + } + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [show]) + + const component = show ? ( + + + {!isExporting ? 'Select Data to Export' : 'Exporting..'} + + + {!isExporting && ( + + {dataToExport.map((data, index) => ( + { + setSelectedData( + event.target.checked + ? [...selectedData, data] + : selectedData.filter((item) => item !== data) + ) + }} + /> + } + label={data} + /> + ))} + + )} + {isExporting && ( + +
+ ExportingGIF + Exporting data might takes a while +
+ + )} + + {!isExporting && ( + + + + + )} + + ) : null + + return createPortal(component, portalElement) +} + +ExportDialog.propTypes = { + show: PropTypes.bool, + onCancel: PropTypes.func, + onExport: PropTypes.func +} // ==============================|| PROFILE MENU ||============================== // @@ -53,12 +163,16 @@ const ProfileSection = ({ username, handleLogout }) => { const [open, setOpen] = useState(false) const [aboutDialogOpen, setAboutDialogOpen] = useState(false) + const [exportDialogOpen, setExportDialogOpen] = useState(false) const anchorRef = useRef(null) const inputRef = useRef() const navigate = useNavigate() - const location = useLocation() + + const importAllApi = useApi(exportImportApi.importData) + const exportAllApi = useApi(exportImportApi.exportData) + const prevOpen = useRef(open) // ==============================|| Snackbar ||============================== // @@ -93,7 +207,7 @@ const ProfileSection = ({ username, handleLogout }) => { } }) } - const importChatflowsApi = useApi(chatFlowsApi.importChatflows) + const fileChange = (e) => { if (!e.target.files) return @@ -104,16 +218,16 @@ const ProfileSection = ({ username, handleLogout }) => { if (!evt?.target?.result) { return } - const chatflows = JSON.parse(evt.target.result) - importChatflowsApi.request(chatflows) + const body = JSON.parse(evt.target.result) + importAllApi.request(body) } reader.readAsText(file) } - const importChatflowsSuccess = () => { + const importAllSuccess = () => { dispatch({ type: REMOVE_DIRTY }) enqueueSnackbar({ - message: `Import chatflows successful`, + message: `Import All successful`, options: { key: new Date().getTime() + Math.random(), variant: 'success', @@ -125,60 +239,75 @@ const ProfileSection = ({ username, handleLogout }) => { } }) } + + const importAll = () => { + inputRef.current.click() + } + + const onExport = (data) => { + const body = {} + if (data.includes('Chatflows')) body.chatflow = true + if (data.includes('Agentflows')) body.agentflow = true + if (data.includes('Tools')) body.tool = true + if (data.includes('Variables')) body.variable = true + if (data.includes('Assistants')) body.assistant = true + + exportAllApi.request(body) + } + useEffect(() => { - if (importChatflowsApi.error) errorFailed(`Failed to import chatflows: ${importChatflowsApi.error.response.data.message}`) - if (importChatflowsApi.data) { - importChatflowsSuccess() - // if current location is /chatflows, refresh the page - if (location.pathname === '/chatflows') navigate(0) - else { - // if not redirect to /chatflows - dispatch({ type: MENU_OPEN, id: 'chatflows' }) - navigate('/chatflows') + if (importAllApi.data) { + importAllSuccess() + navigate(0) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [importAllApi.data]) + + useEffect(() => { + if (importAllApi.error) { + let errMsg = 'Invalid Imported File' + let error = importAllApi.error + if (error?.response?.data) { + errMsg = typeof error.response.data === 'object' ? error.response.data.message : error.response.data } + errorFailed(`Failed to import: ${errMsg}`) } // eslint-disable-next-line react-hooks/exhaustive-deps - }, [importChatflowsApi.error, importChatflowsApi.data]) - const importAllChatflows = () => { - inputRef.current.click() - } - const getAllChatflowsApi = useApi(chatFlowsApi.getAllChatflows) + }, [importAllApi.error]) - const exportChatflowsSuccess = () => { - dispatch({ type: REMOVE_DIRTY }) - enqueueSnackbar({ - message: `Export chatflows successful`, - options: { - key: new Date().getTime() + Math.random(), - variant: 'success', - action: (key) => ( - - ) + useEffect(() => { + if (exportAllApi.data) { + setExportDialogOpen(false) + try { + const dataStr = stringify(exportData(exportAllApi.data)) + //const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const blob = new Blob([dataStr], { type: 'application/json' }) + const dataUri = URL.createObjectURL(blob) + + const linkElement = document.createElement('a') + linkElement.setAttribute('href', dataUri) + linkElement.setAttribute('download', exportAllApi.data.FileDefaultName) + linkElement.click() + } catch (error) { + errorFailed(`Failed to export all: ${getErrorMessage(error)}`) } - }) - } + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [exportAllApi.data]) useEffect(() => { - if (getAllChatflowsApi.error) errorFailed(`Failed to export Chatflows: ${getAllChatflowsApi.error.response.data.message}`) - if (getAllChatflowsApi.data) { - const sanitizedChatflows = sanitizeChatflows(getAllChatflowsApi.data) - const dataStr = JSON.stringify({ Chatflows: sanitizedChatflows }, null, 2) - const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) - - const exportFileDefaultName = 'AllChatflows.json' - - const linkElement = document.createElement('a') - linkElement.setAttribute('href', dataUri) - linkElement.setAttribute('download', exportFileDefaultName) - linkElement.click() - exportChatflowsSuccess() + if (exportAllApi.error) { + setExportDialogOpen(false) + let errMsg = 'Internal Server Error' + let error = exportAllApi.error + if (error?.response?.data) { + errMsg = typeof error.response.data === 'object' ? error.response.data.message : error.response.data + } + errorFailed(`Failed to export: ${errMsg}`) } // eslint-disable-next-line react-hooks/exhaustive-deps - }, [getAllChatflowsApi.error, getAllChatflowsApi.data]) + }, [exportAllApi.error]) - const prevOpen = useRef(open) useEffect(() => { if (prevOpen.current === true && open === false) { anchorRef.current.focus() @@ -261,26 +390,26 @@ const ProfileSection = ({ username, handleLogout }) => { { - getAllChatflowsApi.request() + setExportDialogOpen(true) }} > - Export Chatflows} /> + Export} /> { - importAllChatflows() + importAll() }} > - Import Chatflows} /> + Import} /> - + { @@ -314,6 +443,7 @@ const ProfileSection = ({ username, handleLogout }) => { )} setAboutDialogOpen(false)} /> + setExportDialogOpen(false)} onExport={(data) => onExport(data)} /> ) } diff --git a/packages/ui/src/layout/MainLayout/Sidebar/index.jsx b/packages/ui/src/layout/MainLayout/Sidebar/index.jsx index 3d7028b1a1b..15b483df8d5 100644 --- a/packages/ui/src/layout/MainLayout/Sidebar/index.jsx +++ b/packages/ui/src/layout/MainLayout/Sidebar/index.jsx @@ -51,7 +51,7 @@ const Sidebar = ({ drawerOpen, drawerToggle, window, isInIframe }) => { ) - const container = window !== undefined ? () => window.document.body : undefined + const container = typeof window !== 'undefined' ? () => window.document.body : undefined return ( { } : null), borderRight: drawerOpen ? '1px solid' : 'none', - borderColor: drawerOpen ? theme.palette.primary[200] + 75 : 'transparent' + borderColor: drawerOpen ? theme.palette.primary[200] + 75 : 'transparent', + zIndex: 1000 } }} ModalProps={{ keepMounted: true }} diff --git a/packages/ui/src/layout/MainLayout/ViewHeader.jsx b/packages/ui/src/layout/MainLayout/ViewHeader.jsx index 29eddbb4ae3..947d50b4701 100644 --- a/packages/ui/src/layout/MainLayout/ViewHeader.jsx +++ b/packages/ui/src/layout/MainLayout/ViewHeader.jsx @@ -1,4 +1,7 @@ +'use client' + import PropTypes from 'prop-types' +import { useRef } from 'react' // material-ui import { IconButton, Box, OutlinedInput, Toolbar, Typography } from '@mui/material' @@ -8,6 +11,14 @@ import { StyledFab } from '@/ui-component/button/StyledFab' // icons import { IconSearch, IconArrowLeft, IconEdit } from '@tabler/icons-react' +import useSearchShortcut from '@/hooks/useSearchShortcut' +import { getOS } from '@/utils/genericHelper' + +const os = getOS() +const isMac = os === 'macos' +const isDesktop = isMac || os === 'windows' || os === 'linux' +const keyboardShortcut = isMac ? '[ ⌘ + F ]' : '[ Ctrl + F ]' + const ViewHeader = ({ children, filters = null, @@ -22,6 +33,8 @@ const ViewHeader = ({ onEdit }) => { const theme = useTheme() + const searchInputRef = useRef() + useSearchShortcut(searchInputRef) return ( @@ -85,9 +98,10 @@ const ViewHeader = ({ {search && ( import('@/views/tools'))) // assistants routing const Assistants = Loadable(lazy(() => import('@/views/assistants'))) +const OpenAIAssistantLayout = Loadable(lazy(() => import('@/views/assistants/openai/OpenAIAssistantLayout'))) +const CustomAssistantLayout = Loadable(lazy(() => import('@/views/assistants/custom/CustomAssistantLayout'))) +const CustomAssistantConfigurePreview = Loadable(lazy(() => import('@/views/assistants/custom/CustomAssistantConfigurePreview'))) // credentials routing const Credentials = Loadable(lazy(() => import('@/views/credentials'))) @@ -71,6 +74,18 @@ const MainRoutes = { path: '/assistants', element: }, + { + path: '/assistants/custom', + element: + }, + { + path: '/assistants/custom/:id', + element: + }, + { + path: '/assistants/openai', + element: + }, { path: '/credentials', element: @@ -84,23 +99,27 @@ const MainRoutes = { element: }, { - path: '/document-stores/:id', + path: '/document-stores/:storeId', element: }, { - path: '/document-stores/chunks/:id/:id', + path: '/document-stores/chunks/:storeId/:fileId', element: }, { - path: '/document-stores/:id/:name', + path: '/document-stores/:storeId/:name', element: }, { - path: '/document-stores/vector/:id', + path: '/document-stores/vector/:storeId', + element: + }, + { + path: '/document-stores/vector/:storeId/:docId', element: }, { - path: '/document-stores/query/:id', + path: '/document-stores/query/:storeId', element: }, { diff --git a/packages/ui/src/store/constant.js b/packages/ui/src/store/constant.js index ea41e2ca4c0..39e270bdaee 100644 --- a/packages/ui/src/store/constant.js +++ b/packages/ui/src/store/constant.js @@ -16,7 +16,14 @@ if (typeof sessionStorage !== 'undefined') { baseURL = sessionStorage.getItem('baseURL') || baseURL } export const setBaseURL = (url) => { - baseURL = url?.replace('8080', '4000') + // Check for CHATFLOW_DOMAIN_OVERRIDE + if (typeof process !== 'undefined' && process.env && process.env.CHATFLOW_DOMAIN_OVERRIDE) { + baseURL = process.env.CHATFLOW_DOMAIN_OVERRIDE + } else if (typeof window !== 'undefined' && window.CHATFLOW_DOMAIN_OVERRIDE) { + baseURL = window.CHATFLOW_DOMAIN_OVERRIDE + } else { + baseURL = url?.replace('8080', '4000') + } sessionStorage.setItem('baseURL', baseURL) } export const uiBaseURL = typeof window !== 'undefined' ? `${window?.location?.origin}/sidekick-studio` : undefined diff --git a/packages/ui/src/ui-component/button/FlowListMenu.jsx b/packages/ui/src/ui-component/button/FlowListMenu.jsx index 8dd6ef6c4ec..142cebdfcba 100644 --- a/packages/ui/src/ui-component/button/FlowListMenu.jsx +++ b/packages/ui/src/ui-component/button/FlowListMenu.jsx @@ -7,7 +7,14 @@ import Menu from '@mui/material/Menu' import MenuItem from '@mui/material/MenuItem' import FileCopyIcon from '@mui/icons-material/FileCopy' import FileDownloadIcon from '@mui/icons-material/Downloading' +import FileDeleteIcon from '@mui/icons-material/Delete' +import FileCategoryIcon from '@mui/icons-material/Category' +import PictureInPictureAltIcon from '@mui/icons-material/PictureInPictureAlt' +import ThumbsUpDownOutlinedIcon from '@mui/icons-material/ThumbsUpDownOutlined' +import VpnLockOutlinedIcon from '@mui/icons-material/VpnLockOutlined' +import MicNoneOutlinedIcon from '@mui/icons-material/MicNoneOutlined' import SettingsIcon from '@mui/icons-material/Settings' +import ExportTemplateOutlinedIcon from '@mui/icons-material/BookmarksOutlined' import Button from '@mui/material/Button' import KeyboardArrowDownIcon from '@mui/icons-material/KeyboardArrowDown' import { IconX } from '@tabler/icons-react' @@ -16,6 +23,12 @@ import { uiBaseURL } from '@/store/constant' import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction } from '@/store/actions' import ChatflowConfigurationDialog from '../dialog/ChatflowConfigurationDialog' import { generateExportFlowData } from '@/utils/genericHelper' +import useNotifier from '@/utils/useNotifier' +import ChatFeedbackDialog from '../dialog/ChatFeedbackDialog' +import AllowedDomainsDialog from '../dialog/AllowedDomainsDialog' +import SpeechToTextDialog from '../dialog/SpeechToTextDialog' +import ExportAsTemplateDialog from '@/ui-component/dialog/ExportAsTemplateDialog' +import { Divider } from '@mui/material' const StyledMenu = styled((props) => ( { @@ -76,11 +92,134 @@ export default function FlowListMenu({ chatflow, isAgentCanvas }) { const handleChatflowConfiguration = () => { setAnchorEl(null) - setChatflowConfigurationDialogProps({ - title: `${title} Configuration`, - chatflow: chatflow, - onSave: (updatedChatflow) => { - onUpdateChatflow(updatedChatflow) + setFlowDialogOpen(true) + } + + const handleFlowStarterPrompts = () => { + setAnchorEl(null) + setConversationStartersDialogProps({ + title: 'Starter Prompts - ' + chatflow.name, + chatflow: chatflow + }) + setConversationStartersDialogOpen(true) + } + + const handleExportTemplate = () => { + setAnchorEl(null) + setExportTemplateDialogProps({ + chatflow: chatflow + }) + setExportTemplateDialogOpen(true) + } + + const handleFlowChatFeedback = () => { + setAnchorEl(null) + setChatFeedbackDialogProps({ + title: 'Chat Feedback - ' + chatflow.name, + chatflow: chatflow + }) + setChatFeedbackDialogOpen(true) + } + + const handleAllowedDomains = () => { + setAnchorEl(null) + setAllowedDomainsDialogProps({ + title: 'Allowed Domains - ' + chatflow.name, + chatflow: chatflow + }) + setAllowedDomainsDialogOpen(true) + } + + const handleSpeechToText = () => { + setAnchorEl(null) + setSpeechToTextDialogProps({ + title: 'Speech To Text - ' + chatflow.name, + chatflow: chatflow + }) + setSpeechToTextDialogOpen(true) + } + + const saveFlowRename = async (chatflowName) => { + const updateBody = { + name: chatflowName, + chatflow + } + try { + await updateChatflowApi.request(chatflow.id, updateBody) + await updateFlowsApi.request() + } catch (error) { + if (setError) setError(error) + enqueueSnackbar({ + message: typeof error.response.data === 'object' ? error.response.data.message : error.response.data, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + const handleFlowCategory = () => { + setAnchorEl(null) + if (chatflow.category) { + setCategoryDialogProps({ + category: chatflow.category.split(';') + }) + } + setCategoryDialogOpen(true) + } + + const saveFlowCategory = async (categories) => { + setCategoryDialogOpen(false) + // save categories as string + const categoryTags = categories.join(';') + const updateBody = { + category: categoryTags, + chatflow + } + try { + await updateChatflowApi.request(chatflow.id, updateBody) + await updateFlowsApi.request() + } catch (error) { + if (setError) setError(error) + enqueueSnackbar({ + message: typeof error.response.data === 'object' ? error.response.data.message : error.response.data, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + const handleDelete = async () => { + setAnchorEl(null) + const confirmPayload = { + title: `Delete`, + description: `Delete ${title} ${chatflow.name}?`, + confirmButtonName: 'Delete', + cancelButtonName: 'Cancel' + } + const isConfirmed = await confirm(confirmPayload) + + if (isConfirmed) { + try { + await chatflowsApi.deleteChatflow(chatflow.id) + await updateFlowsApi.request() + } catch (error) { + if (setError) setError(error) enqueueSnackbar({ message: 'Chatflow Configuration Saved', options: { @@ -94,7 +233,7 @@ export default function FlowListMenu({ chatflow, isAgentCanvas }) { } }) } - }) + } setChatflowConfigurationDialogOpen(true) } @@ -113,8 +252,11 @@ export default function FlowListMenu({ chatflow, isAgentCanvas }) { const handleExport = () => { setAnchorEl(null) try { - let dataStr = JSON.stringify(generateExportFlowData(chatflow), null, 2) - let dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const flowData = JSON.parse(chatflow.flowData) + let dataStr = JSON.stringify(generateExportFlowData(flowData), null, 2) + //let dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const blob = new Blob([dataStr], { type: 'application/json' }) + const dataUri = URL.createObjectURL(blob) let exportFileDefaultName = `${chatflow.name} ${title}.json` @@ -161,12 +303,49 @@ export default function FlowListMenu({ chatflow, isAgentCanvas }) { Export + + + Save As Template + + + + + Starter Prompts + + + + Chat Feedback + + + + Allowed Domains + + + + Speech To Text + + + + Update Category + + + + + Delete + setChatflowConfigurationDialogOpen(false)} /> + {exportTemplateDialogOpen && ( + setExportTemplateDialogOpen(false)} + /> + )} ) } diff --git a/packages/ui/src/ui-component/cards/DocumentStoreCard.jsx b/packages/ui/src/ui-component/cards/DocumentStoreCard.jsx index da2c2d4ad33..8021bbeade6 100644 --- a/packages/ui/src/ui-component/cards/DocumentStoreCard.jsx +++ b/packages/ui/src/ui-component/cards/DocumentStoreCard.jsx @@ -60,7 +60,8 @@ const DocumentStoreCard = ({ data, images, onClick }) => { WebkitBoxOrient: 'vertical', textOverflow: 'ellipsis', overflow: 'hidden', - flex: 1 + flex: 1, + mr: 1 }} > {data.name} diff --git a/packages/ui/src/ui-component/cards/FollowUpPromptsCard.jsx b/packages/ui/src/ui-component/cards/FollowUpPromptsCard.jsx new file mode 100644 index 00000000000..75aceb85b75 --- /dev/null +++ b/packages/ui/src/ui-component/cards/FollowUpPromptsCard.jsx @@ -0,0 +1,45 @@ +import Box from '@mui/material/Box' +import PropTypes from 'prop-types' +import { Chip } from '@mui/material' +import './StarterPromptsCard.css' +import { useSelector } from 'react-redux' + +const FollowUpPromptsCard = ({ isGrid, followUpPrompts, sx, onPromptClick }) => { + const customization = useSelector((state) => state.customization) + + return ( + + {followUpPrompts.map((fp, index) => ( + onPromptClick(fp, e)} + sx={{ + backgroundColor: 'transparent', + border: '1px solid', + boxShadow: '0px 2px 1px -1px rgba(0,0,0,0.2)', + color: '#2196f3', + transition: 'all 300ms cubic-bezier(0.4, 0, 0.2, 1) 0ms', + '&:hover': { + backgroundColor: customization.isDarkMode ? 'rgba(0, 0, 0, 0.12)' : 'rgba(0, 0, 0, 0.05)', + border: '1px solid' + } + }} + /> + ))} + + ) +} + +FollowUpPromptsCard.propTypes = { + isGrid: PropTypes.bool, + followUpPrompts: PropTypes.array, + sx: PropTypes.object, + onPromptClick: PropTypes.func +} + +export default FollowUpPromptsCard diff --git a/packages/ui/src/ui-component/cards/MainCard.jsx b/packages/ui/src/ui-component/cards/MainCard.jsx index 61bbf752e23..5d3ec235fd2 100644 --- a/packages/ui/src/ui-component/cards/MainCard.jsx +++ b/packages/ui/src/ui-component/cards/MainCard.jsx @@ -30,10 +30,11 @@ const MainCard = forwardRef(function MainCard( }, ref ) { + const otherProps = { ...others, border: others.border === false ? undefined : others.border } return ( { username, password } + config.headers = { + 'Content-type': 'application/json', + 'x-request-from': 'internal' + } } const latestReleaseReq = axios.get('https://api.github.com/repos/FlowiseAI/Flowise/releases/latest') const currentVersionReq = axios.get(`${baseURL}/api/v1/version`, { ...config }) diff --git a/packages/ui/src/ui-component/dialog/ChatflowConfigurationDialog.jsx b/packages/ui/src/ui-component/dialog/ChatflowConfigurationDialog.jsx index ceea50005ee..04bdbe3baf1 100644 --- a/packages/ui/src/ui-component/dialog/ChatflowConfigurationDialog.jsx +++ b/packages/ui/src/ui-component/dialog/ChatflowConfigurationDialog.jsx @@ -4,36 +4,27 @@ import { createPortal } from 'react-dom' import { Box, Dialog, DialogContent, DialogTitle, Tabs, Tab } from '@mui/material' import { tabsClasses } from '@mui/material/Tabs' import SpeechToText from '@/ui-component/extended/SpeechToText' -import RateLimit from '@/ui-component/extended/RateLimit' -import AllowedDomains from '@/ui-component/extended/AllowedDomains' +import Security from '@/ui-component/extended/Security' import ChatFeedback from '@/ui-component/extended/ChatFeedback' import StarterPrompts from '@/ui-component/extended/StarterPrompts' import Leads from '@/ui-component/extended/Leads' -import VisibilitySettings from '@/ui-component/extended/VisibilitySettings' -import GeneralSettings from '@/ui-component/extended/GeneralSettings' -import ChatLinksSettings from '@/ui-component/extended/ChatLinksSettings' +import FollowUpPrompts from '@/ui-component/extended/FollowUpPrompts' +import FileUpload from '@/ui-component/extended/FileUpload' +import PostProcessing from '@/ui-component/extended/PostProcessing' const CHATFLOW_CONFIGURATION_TABS = [ { - label: 'General', - id: 'generalSettings' - }, - { - label: 'Visibility', - id: 'visibilitySettings' - }, - { - label: 'Chat links', - id: 'chatLinks' - }, - { - label: 'Rate Limiting', - id: 'rateLimiting' + label: 'Security', + id: 'security' }, { label: 'Starter Prompts', id: 'conversationStarters' }, + { + label: 'Follow-up Prompts', + id: 'followUpPrompts' + }, { label: 'Speech to Text', id: 'speechToText' @@ -43,16 +34,21 @@ const CHATFLOW_CONFIGURATION_TABS = [ id: 'chatFeedback' }, { - label: 'Allowed Domains', - id: 'allowedDomains' + label: 'Analyse Chatflow', + id: 'analyseChatflow' }, - // { - // label: 'Analyse Chatflow', - // id: 'analyseChatflow' - // }, { label: 'Leads', id: 'leads' + }, + { + label: 'File Upload', + id: 'fileUpload' + }, + { + label: 'Post Processing', + id: 'postProcessing', + hideInAgentFlow: true } ] @@ -85,21 +81,23 @@ function a11yProps(index) { } } -const ChatflowConfigurationDialog = ({ show, dialogProps, onCancel }) => { +const ChatflowConfigurationDialog = ({ show, isAgentCanvas, dialogProps, onCancel }) => { const portalElement = typeof document !== 'undefined' ? document.getElementById('portal') : null const [tabValue, setTabValue] = useState(0) + const filteredTabs = CHATFLOW_CONFIGURATION_TABS.filter((tab) => !isAgentCanvas || !tab.hideInAgentFlow) + const component = show ? ( - -
{dialogProps.title}
+ + {dialogProps.title} { variant='scrollable' scrollButtons='auto' > - {CHATFLOW_CONFIGURATION_TABS.map((item, index) => ( + {filteredTabs.map((item, index) => ( ))} - {CHATFLOW_CONFIGURATION_TABS.map((item, index) => ( + {filteredTabs.map((item, index) => ( - {item.id === 'rateLimiting' && } + {item.id === 'security' && } {item.id === 'conversationStarters' ? : null} + {item.id === 'followUpPrompts' ? : null} {item.id === 'speechToText' ? : null} {item.id === 'chatFeedback' ? : null} - {item.id === 'allowedDomains' ? : null} - {/* {item.id === 'analyseChatflow' ? : null} */} + {item.id === 'analyseChatflow' ? : null} {item.id === 'leads' ? : null} - {item.id === 'visibilitySettings' ? : null} - {item.id === 'chatLinks' ? : null} - {item.id === 'generalSettings' ? : null} + {item.id === 'fileUpload' ? : null} + {item.id === 'postProcessing' ? : null} ))} @@ -149,6 +152,7 @@ const ChatflowConfigurationDialog = ({ show, dialogProps, onCancel }) => { ChatflowConfigurationDialog.propTypes = { show: PropTypes.bool, + isAgentCanvas: PropTypes.bool, dialogProps: PropTypes.object, onCancel: PropTypes.func } diff --git a/packages/ui/src/ui-component/dialog/ExportAsTemplateDialog.jsx b/packages/ui/src/ui-component/dialog/ExportAsTemplateDialog.jsx new file mode 100644 index 00000000000..e7251c25762 --- /dev/null +++ b/packages/ui/src/ui-component/dialog/ExportAsTemplateDialog.jsx @@ -0,0 +1,282 @@ +import { createPortal } from 'react-dom' +import { useDispatch } from 'react-redux' +import { useEffect, useState } from 'react' +import PropTypes from 'prop-types' + +// material-ui +import { Box, Button, Dialog, DialogActions, DialogContent, DialogTitle, OutlinedInput, Typography } from '@mui/material' + +// store +import { + closeSnackbar as closeSnackbarAction, + enqueueSnackbar as enqueueSnackbarAction, + HIDE_CANVAS_DIALOG, + SHOW_CANVAS_DIALOG +} from '@/store/actions' +import useNotifier from '@/utils/useNotifier' +import { StyledButton } from '@/ui-component/button/StyledButton' +import Chip from '@mui/material/Chip' +import { IconX } from '@tabler/icons-react' + +// API +import marketplacesApi from '@/api/marketplaces' +import useApi from '@/hooks/useApi' + +// Project imports + +const ExportAsTemplateDialog = ({ show, dialogProps, onCancel }) => { + const portalElement = document.getElementById('portal') + const dispatch = useDispatch() + const [name, setName] = useState('') + const [flowType, setFlowType] = useState('') + const [description, setDescription] = useState('') + const [badge, setBadge] = useState('') + const [usecases, setUsecases] = useState([]) + const [usecaseInput, setUsecaseInput] = useState('') + + const saveCustomTemplateApi = useApi(marketplacesApi.saveAsCustomTemplate) + + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + useNotifier() + + useEffect(() => { + if (dialogProps.chatflow) { + setName(dialogProps.chatflow.name) + setFlowType(dialogProps.chatflow.type === 'MULTIAGENT' ? 'Agentflow' : 'Chatflow') + } + + if (dialogProps.tool) { + setName(dialogProps.tool.name) + setDescription(dialogProps.tool.description) + setFlowType('Tool') + } + + return () => { + setName('') + setDescription('') + setBadge('') + setUsecases([]) + setFlowType('') + setUsecaseInput('') + } + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [dialogProps]) + + useEffect(() => { + if (show) dispatch({ type: SHOW_CANVAS_DIALOG }) + else dispatch({ type: HIDE_CANVAS_DIALOG }) + return () => dispatch({ type: HIDE_CANVAS_DIALOG }) + }, [show, dispatch]) + + const handleUsecaseInputChange = (event) => { + setUsecaseInput(event.target.value) + } + + const handleUsecaseInputKeyDown = (event) => { + if (event.key === 'Enter' && usecaseInput.trim()) { + event.preventDefault() + if (!usecases.includes(usecaseInput)) { + setUsecases([...usecases, usecaseInput]) + setUsecaseInput('') + } + } + } + + const handleUsecaseDelete = (toDelete) => { + setUsecases(usecases.filter((category) => category !== toDelete)) + } + + const onConfirm = () => { + if (name.trim() === '') { + enqueueSnackbar({ + message: 'Template Name is mandatory!', + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + return + } + + const template = { + name, + description, + badge: badge ? badge.toUpperCase() : undefined, + usecases, + type: flowType + } + if (dialogProps.chatflow) { + template.chatflowId = dialogProps.chatflow.id + } + if (dialogProps.tool) { + template.tool = { + iconSrc: dialogProps.tool.iconSrc, + schema: dialogProps.tool.schema, + func: dialogProps.tool.func + } + } + saveCustomTemplateApi.request(template) + } + + useEffect(() => { + if (saveCustomTemplateApi.data) { + enqueueSnackbar({ + message: 'Saved as template successfully!', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + persist: true, + action: (key) => ( + + ) + } + }) + onCancel() + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [saveCustomTemplateApi.data]) + + useEffect(() => { + if (saveCustomTemplateApi.error) { + enqueueSnackbar({ + message: 'Failed to save as template!', + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + onCancel() + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [saveCustomTemplateApi.error]) + + const component = show ? ( + + + {dialogProps.title || 'Export As Template'} + + + +
+ + Name * + + { + setName(e.target.value) + }} + /> +
+ + +
+ Description + { + setDescription(e.target.value) + }} + /> +
+ + +
+ Badge + { + setBadge(e.target.value) + }} + /> +
+ + +
+ Usecases + {usecases.length > 0 && ( +
+ {usecases.map((uc, index) => ( + handleUsecaseDelete(uc)} + style={{ marginRight: 5, marginBottom: 5 }} + /> + ))} +
+ )} + + + Type a usecase and press enter to add it to the list. You can add as many items as you want. + +
+ + + + + + {dialogProps.confirmButtonName || 'Save Template'} + + + + ) : null + + return createPortal(component, portalElement) +} + +ExportAsTemplateDialog.propTypes = { + show: PropTypes.bool, + dialogProps: PropTypes.object, + onCancel: PropTypes.func, + onConfirm: PropTypes.func +} + +export default ExportAsTemplateDialog diff --git a/packages/ui/src/ui-component/dialog/NvidiaNIMDialog.jsx b/packages/ui/src/ui-component/dialog/NvidiaNIMDialog.jsx new file mode 100644 index 00000000000..aca39c2bbb7 --- /dev/null +++ b/packages/ui/src/ui-component/dialog/NvidiaNIMDialog.jsx @@ -0,0 +1,328 @@ +import { useState, useEffect } from 'react' +import { createPortal } from 'react-dom' +import axios from 'axios' +import PropTypes from 'prop-types' +import { + Dialog, + DialogTitle, + DialogContent, + DialogActions, + Button, + CircularProgress, + Stepper, + Step, + StepLabel, + Select, + MenuItem, + FormControl, + InputLabel +} from '@mui/material' + +const NvidiaNIMDialog = ({ open, onClose, onComplete }) => { + const portalElement = document.getElementById('portal') + + const modelOptions = { + 'nv-mistralai/mistral-nemo-12b-instruct:latest': { + label: 'Mistral Nemo 12B Instruct', + licenseUrl: 'https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nv-mistralai/containers/mistral-nemo-12b-instruct' + }, + 'meta/llama-3.1-8b-instruct-rtx:latest': { + label: 'Llama 3.1 8B Instruct', + licenseUrl: 'https://catalog.ngc.nvidia.com/orgs/nim/teams/meta/containers/llama-3.1-8b-instruct' + } + } + + const [activeStep, setActiveStep] = useState(0) + const [loading, setLoading] = useState(false) + const [imageTag, setImageTag] = useState('') + const [pollInterval, setPollInterval] = useState(null) + + const steps = ['Download Installer', 'Pull Image', 'Start Container'] + + const handleDownloadInstaller = async () => { + try { + setLoading(true) + await axios.get('/api/v1/nvidia-nim/download-installer') + setLoading(false) + } catch (err) { + let errorData = err.message + if (typeof err === 'string') { + errorData = err + } else if (err.response?.data) { + errorData = err.response.data.message + } + alert('Failed to download installer: ' + errorData) + setLoading(false) + } + } + + const preload = async () => { + try { + setLoading(true) + await axios.get('/api/v1/nvidia-nim/preload') + setLoading(false) + setActiveStep(1) + } catch (err) { + let errorData = err.message + if (typeof err === 'string') { + errorData = err + } else if (err.response?.data) { + errorData = err.response.data.message + } + alert('Failed to preload: ' + errorData) + setLoading(false) + } + } + + const handlePullImage = async () => { + try { + setLoading(true) + try { + const imageResponse = await axios.post('/api/v1/nvidia-nim/get-image', { imageTag }) + if (imageResponse.data && imageResponse.data.tag === imageTag) { + setLoading(false) + setActiveStep(2) + return + } + } catch (err) { + // Continue if image not found + if (err.response?.status !== 404) { + throw err + } + } + + // Get token first + const tokenResponse = await axios.get('/api/v1/nvidia-nim/get-token') + const apiKey = tokenResponse.data.access_token + + // Pull image + await axios.post('/api/v1/nvidia-nim/pull-image', { + imageTag, + apiKey + }) + + // Start polling for image status + const interval = setInterval(async () => { + try { + const imageResponse = await axios.post('/api/v1/nvidia-nim/get-image', { imageTag }) + if (imageResponse.data) { + clearInterval(interval) + setLoading(false) + setActiveStep(2) + } + } catch (err) { + // Continue polling if image not found + if (err.response?.status !== 404) { + clearInterval(interval) + alert('Failed to check image status: ' + err.message) + setLoading(false) + } + } + }, 5000) + + setPollInterval(interval) + } catch (err) { + let errorData = err.message + if (typeof err === 'string') { + errorData = err + } else if (err.response?.data) { + errorData = err.response.data.message + } + alert('Failed to pull image: ' + errorData) + setLoading(false) + } + } + + const handleStartContainer = async () => { + try { + setLoading(true) + try { + const containerResponse = await axios.post('/api/v1/nvidia-nim/get-container', { imageTag }) + if (containerResponse.data && containerResponse.data && containerResponse.data.status === 'running') { + // wait additional 10 seconds for container to be ready + await new Promise((resolve) => setTimeout(resolve, 10000)) + setLoading(false) + onComplete(containerResponse.data) + onClose() + return + } + } catch (err) { + // Continue if container not found + if (err.response?.status !== 404) { + throw err + } + } + + const tokenResponse = await axios.get('/api/v1/nvidia-nim/get-token') + const apiKey = tokenResponse.data.access_token + + await axios.post('/api/v1/nvidia-nim/start-container', { + imageTag, + apiKey + }) + + // Start polling for container status + const interval = setInterval(async () => { + try { + const containerResponse = await axios.post('/api/v1/nvidia-nim/get-container', { imageTag }) + if (containerResponse.data) { + clearInterval(interval) + setLoading(false) + onComplete(containerResponse.data) + onClose() + } + } catch (err) { + // Continue polling if container not found + if (err.response?.status !== 404) { + clearInterval(interval) + alert('Failed to check container status: ' + err.message) + setLoading(false) + } + } + }, 5000) + + setPollInterval(interval) + } catch (err) { + let errorData = err.message + if (typeof err === 'string') { + errorData = err + } else if (err.response?.data) { + errorData = err.response.data.message + } + alert('Failed to start container: ' + errorData) + setLoading(false) + } + } + + const handleNext = () => { + if (activeStep === 1 && !imageTag) { + alert('Please enter an image tag') + return + } + + switch (activeStep) { + case 0: + preload() + break + case 1: + handlePullImage() + break + case 2: + handleStartContainer() + break + default: + setActiveStep((prev) => prev + 1) + } + } + + // Cleanup polling on unmount + useEffect(() => { + return () => { + if (pollInterval) { + clearInterval(pollInterval) + } + } + }, [pollInterval]) + + // clear state on close + useEffect(() => { + if (!open) { + setActiveStep(0) + setLoading(false) + setImageTag('') + } + }, [open]) + + const component = open ? ( + + NIM Setup + + + {steps.map((label) => ( + + {label} + + ))} + + + {activeStep === 0 && ( +
+

+ Would you like to download the NIM installer? Click Next if it has been installed +

+ {loading && } +
+ )} + + {activeStep === 1 && ( +
+ + Model + + + {imageTag && ( + + )} + {loading && ( +
+
+ +

Pulling image...

+
+ )} +
+ )} + + {activeStep === 2 && ( +
+ {loading ? ( + <> +
+ +

Starting container...

+ + ) : ( +

Image is ready! Click Next to start the container.

+ )} +
+ )} + + + + {activeStep === 0 && ( + + )} + + +
+ ) : null + + return createPortal(component, portalElement) +} + +NvidiaNIMDialog.propTypes = { + open: PropTypes.bool, + onClose: PropTypes.func, + onComplete: PropTypes.func +} + +export default NvidiaNIMDialog diff --git a/packages/ui/src/ui-component/dialog/PromptGeneratorDialog.jsx b/packages/ui/src/ui-component/dialog/PromptGeneratorDialog.jsx new file mode 100644 index 00000000000..1b0e3e48397 --- /dev/null +++ b/packages/ui/src/ui-component/dialog/PromptGeneratorDialog.jsx @@ -0,0 +1,205 @@ +import { createPortal } from 'react-dom' +import { useState, useEffect } from 'react' +import { useDispatch } from 'react-redux' +import PropTypes from 'prop-types' +import { OutlinedInput, DialogActions, Button, Dialog, DialogContent, DialogTitle } from '@mui/material' +import { StyledButton } from '@/ui-component/button/StyledButton' +import assistantsApi from '@/api/assistants' +import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction } from '@/store/actions' +import { IconX, IconWand, IconArrowLeft, IconNotebook, IconLanguage, IconMail, IconCode, IconReport, IconWorld } from '@tabler/icons-react' +import useNotifier from '@/utils/useNotifier' +import { LoadingButton } from '@mui/lab' + +const defaultInstructions = [ + { + text: 'Summarize a document', + img: + }, + { + text: 'Translate the language', + img: + }, + { + text: 'Write me an email', + img: + }, + { + text: 'Convert the code to another language', + img: + }, + { + text: 'Research and generate a report', + img: + }, + { + text: 'Plan a trip', + img: + } +] + +const AssistantPromptGenerator = ({ show, dialogProps, onCancel, onConfirm }) => { + const portalElement = document.getElementById('portal') + const [customAssistantInstruction, setCustomAssistantInstruction] = useState('') + const [generatedInstruction, setGeneratedInstruction] = useState('') + const [loading, setLoading] = useState(false) + + // ==============================|| Snackbar ||============================== // + const dispatch = useDispatch() + useNotifier() + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + const onGenerate = async () => { + try { + setLoading(true) + const selectedChatModelObj = { + name: dialogProps.data.selectedChatModel.name, + inputs: dialogProps.data.selectedChatModel.inputs + } + const resp = await assistantsApi.generateAssistantInstruction({ + selectedChatModel: selectedChatModelObj, + task: customAssistantInstruction + }) + + if (resp.data) { + setLoading(false) + if (resp.data.content) { + setGeneratedInstruction(resp.data.content) + } + } + } catch (error) { + setLoading(false) + enqueueSnackbar({ + message: typeof error.response.data === 'object' ? error.response.data.message : error.response.data, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + // clear the state when dialog is closed + useEffect(() => { + if (!show) { + setCustomAssistantInstruction('') + setGeneratedInstruction('') + } + }, [show]) + + const component = show ? ( + <> + + + {dialogProps.title} + + + {dialogProps.description} +
+ {defaultInstructions.map((instruction, index) => { + return ( + + ) + })} +
+ {!generatedInstruction && ( + setCustomAssistantInstruction(event.target.value)} + /> + )} + {generatedInstruction && ( + setGeneratedInstruction(event.target.value)} + /> + )} + + + {!generatedInstruction && ( + { + onGenerate() + }} + startIcon={} + > + Generate + + )} + {generatedInstruction && ( + + )} + {generatedInstruction && ( + onConfirm(generatedInstruction)}> + Apply + + )} + + + + ) : null + + return createPortal(component, portalElement) +} + +AssistantPromptGenerator.propTypes = { + show: PropTypes.bool, + dialogProps: PropTypes.object, + onConfirm: PropTypes.func, + onCancel: PropTypes.func +} + +export default AssistantPromptGenerator diff --git a/packages/ui/src/ui-component/dialog/SaveChatflowDialog.jsx b/packages/ui/src/ui-component/dialog/SaveChatflowDialog.jsx index 61b2316d88a..2ac3f232840 100644 --- a/packages/ui/src/ui-component/dialog/SaveChatflowDialog.jsx +++ b/packages/ui/src/ui-component/dialog/SaveChatflowDialog.jsx @@ -34,12 +34,15 @@ const SaveChatflowDialog = ({ show, dialogProps, onCancel, onConfirm, defaultVal onClose={onCancel} aria-labelledby='alert-dialog-title' aria-describedby='alert-dialog-description' + disableRestoreFocus // needed due to StrictMode > {dialogProps.title} setChatflowName(e.target.value)} + onKeyDown={(e) => { + if (isReadyToSave && e.key === 'Enter') onConfirm(e.target.value) + }} /> diff --git a/packages/ui/src/ui-component/dialog/SourceDocDialog.jsx b/packages/ui/src/ui-component/dialog/SourceDocDialog.jsx index ff53cdff9e1..dd99a17852c 100644 --- a/packages/ui/src/ui-component/dialog/SourceDocDialog.jsx +++ b/packages/ui/src/ui-component/dialog/SourceDocDialog.jsx @@ -2,7 +2,7 @@ import { createPortal } from 'react-dom' import { useState, useEffect } from 'react' import { useSelector } from 'react-redux' import PropTypes from 'prop-types' -import { Dialog, DialogContent, DialogTitle } from '@mui/material' +import { Box, Dialog, DialogContent, DialogTitle, Typography } from '@mui/material' import ReactJson from 'flowise-react-json-view' const SourceDocDialog = ({ show, dialogProps, onCancel }) => { @@ -32,6 +32,25 @@ const SourceDocDialog = ({ show, dialogProps, onCancel }) => { {dialogProps.title ?? 'Source Documents'} + {data.error && ( + + + Error: + + + {data.error} + + + )} { leads } const dataStr = JSON.stringify(exportData, null, 2) - const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + //const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const blob = new Blob([dataStr], { type: 'application/json' }) + const dataUri = URL.createObjectURL(blob) const exportFileDefaultName = `${dialogProps.chatflow.id}-leads.json` diff --git a/packages/ui/src/ui-component/dialog/ViewMessagesDialog.jsx b/packages/ui/src/ui-component/dialog/ViewMessagesDialog.jsx index da07e98b562..5a046ccb479 100644 --- a/packages/ui/src/ui-component/dialog/ViewMessagesDialog.jsx +++ b/packages/ui/src/ui-component/dialog/ViewMessagesDialog.jsx @@ -8,6 +8,7 @@ import rehypeRaw from 'rehype-raw' import remarkGfm from 'remark-gfm' import remarkMath from 'remark-math' import axios from 'axios' +import { cloneDeep } from 'lodash' // material-ui import { @@ -24,7 +25,10 @@ import { Chip, Card, CardMedia, - CardContent + CardContent, + FormControlLabel, + Checkbox, + DialogActions } from '@mui/material' import { useTheme } from '@mui/material/styles' import DatePicker from 'react-datepicker' @@ -34,7 +38,7 @@ import userPNG from '@/assets/images/account.png' import msgEmptySVG from '@/assets/images/message_empty.svg' import multiagent_supervisorPNG from '@/assets/images/multiagent_supervisor.png' import multiagent_workerPNG from '@/assets/images/multiagent_worker.png' -import { IconTool, IconDeviceSdCard, IconFileExport, IconEraser, IconX, IconDownload } from '@tabler/icons-react' +import { IconTool, IconDeviceSdCard, IconFileExport, IconEraser, IconX, IconDownload, IconPaperclip } from '@tabler/icons-react' // Project import import { MemoizedReactMarkdown } from '@/ui-component/markdown/MemoizedReactMarkdown' @@ -84,6 +88,52 @@ const messageImageStyle = { objectFit: 'cover' } +const ConfirmDeleteMessageDialog = ({ show, dialogProps, onCancel, onConfirm }) => { + const portalElement = document.getElementById('portal') + const [hardDelete, setHardDelete] = useState(false) + + const onSubmit = () => { + onConfirm(hardDelete) + } + + const component = show ? ( + + + {dialogProps.title} + + + {dialogProps.description} + setHardDelete(event.target.checked)} />} + label='Remove messages from 3rd party Memory Node' + /> + + + + + {dialogProps.confirmButtonName} + + + + ) : null + + return createPortal(component, portalElement) +} + +ConfirmDeleteMessageDialog.propTypes = { + show: PropTypes.bool, + dialogProps: PropTypes.object, + onCancel: PropTypes.func, + onConfirm: PropTypes.func +} + const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { const portalElement = typeof document !== 'undefined' ? document.getElementById('portal') : null const dispatch = useDispatch() @@ -103,9 +153,11 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { const [selectedChatId, setSelectedChatId] = useState('') const [sourceDialogOpen, setSourceDialogOpen] = useState(false) const [sourceDialogProps, setSourceDialogProps] = useState({}) + const [hardDeleteDialogOpen, setHardDeleteDialogOpen] = useState(false) + const [hardDeleteDialogProps, setHardDeleteDialogProps] = useState({}) const [chatTypeFilter, setChatTypeFilter] = useState([]) const [feedbackTypeFilter, setFeedbackTypeFilter] = useState([]) - const [startDate, setStartDate] = useState(new Date().setMonth(new Date().getMonth() - 1)) + const [startDate, setStartDate] = useState(new Date(new Date().setMonth(new Date().getMonth() - 1))) const [endDate, setEndDate] = useState(new Date()) const [leadEmail, setLeadEmail] = useState('') @@ -116,30 +168,38 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { let storagePath = '' const onStartDateSelected = (date) => { - setStartDate(date) + const updatedDate = new Date(date) + updatedDate.setHours(0, 0, 0, 0) + setStartDate(updatedDate) getChatmessageApi.request(dialogProps.chatflow.id, { - startDate: date, + startDate: updatedDate, endDate: endDate, - chatType: chatTypeFilter.length ? chatTypeFilter : undefined + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) getStatsApi.request(dialogProps.chatflow.id, { - startDate: date, + startDate: updatedDate, endDate: endDate, - chatType: chatTypeFilter.length ? chatTypeFilter : undefined + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) } const onEndDateSelected = (date) => { - setEndDate(date) + const updatedDate = new Date(date) + updatedDate.setHours(23, 59, 59, 999) + setEndDate(updatedDate) getChatmessageApi.request(dialogProps.chatflow.id, { - endDate: date, + endDate: updatedDate, startDate: startDate, - chatType: chatTypeFilter.length ? chatTypeFilter : undefined + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) getStatsApi.request(dialogProps.chatflow.id, { - endDate: date, + endDate: updatedDate, startDate: startDate, - chatType: chatTypeFilter.length ? chatTypeFilter : undefined + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) } @@ -148,12 +208,14 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { getChatmessageApi.request(dialogProps.chatflow.id, { chatType: chatTypes.length ? chatTypes : undefined, startDate: startDate, - endDate: endDate + endDate: endDate, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) getStatsApi.request(dialogProps.chatflow.id, { chatType: chatTypes.length ? chatTypes : undefined, startDate: startDate, - endDate: endDate + endDate: endDate, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined }) } @@ -175,6 +237,85 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { }) } + const onDeleteMessages = () => { + setHardDeleteDialogProps({ + title: 'Delete Messages', + description: 'Are you sure you want to delete messages? This action cannot be undone.', + confirmButtonName: 'Delete', + cancelButtonName: 'Cancel' + }) + setHardDeleteDialogOpen(true) + } + + const deleteMessages = async (hardDelete) => { + setHardDeleteDialogOpen(false) + const chatflowid = dialogProps.chatflow.id + try { + const obj = { chatflowid, isClearFromViewMessageDialog: true } + + let _chatTypeFilter = chatTypeFilter + if (typeof chatTypeFilter === 'string' && chatTypeFilter.startsWith('[') && chatTypeFilter.endsWith(']')) { + _chatTypeFilter = JSON.parse(chatTypeFilter) + } + if (_chatTypeFilter.length === 1) { + obj.chatType = _chatTypeFilter[0] + } + + let _feedbackTypeFilter = feedbackTypeFilter + if (typeof feedbackTypeFilter === 'string' && feedbackTypeFilter.startsWith('[') && feedbackTypeFilter.endsWith(']')) { + _feedbackTypeFilter = JSON.parse(feedbackTypeFilter) + } + if (_feedbackTypeFilter.length === 1) { + obj.feedbackType = _feedbackTypeFilter[0] + } + + if (startDate) obj.startDate = startDate + if (endDate) obj.endDate = endDate + if (hardDelete) obj.hardDelete = true + + await chatmessageApi.deleteChatmessage(chatflowid, obj) + enqueueSnackbar({ + message: 'Succesfully deleted messages', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + getChatmessageApi.request(chatflowid, { + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + startDate: startDate, + endDate: endDate, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined + }) + getStatsApi.request(chatflowid, { + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + startDate: startDate, + endDate: endDate, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined + }) + } catch (error) { + console.error(error) + enqueueSnackbar({ + message: typeof error.response.data === 'object' ? error.response.data.message : error.response.data, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + const exportMessages = async () => { if (!storagePath && getStoragePathFromServer.data) { storagePath = getStoragePathFromServer.data.storagePath @@ -188,8 +329,7 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { const chatmsg = allChatlogs[i] const chatPK = getChatPK(chatmsg) let filePaths = [] - if (chatmsg.fileUploads) { - chatmsg.fileUploads = JSON.parse(chatmsg.fileUploads) + if (chatmsg.fileUploads && Array.isArray(chatmsg.fileUploads)) { chatmsg.fileUploads.forEach((file) => { if (file.type === 'stored-file') { filePaths.push( @@ -204,12 +344,21 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { time: chatmsg.createdDate } if (filePaths.length) msg.filePaths = filePaths - if (chatmsg.sourceDocuments) msg.sourceDocuments = JSON.parse(chatmsg.sourceDocuments) - if (chatmsg.usedTools) msg.usedTools = JSON.parse(chatmsg.usedTools) - if (chatmsg.fileAnnotations) msg.fileAnnotations = JSON.parse(chatmsg.fileAnnotations) + if (chatmsg.sourceDocuments) msg.sourceDocuments = chatmsg.sourceDocuments + if (chatmsg.usedTools) msg.usedTools = chatmsg.usedTools + if (chatmsg.fileAnnotations) msg.fileAnnotations = chatmsg.fileAnnotations if (chatmsg.feedback) msg.feedback = chatmsg.feedback?.content - if (chatmsg.agentReasoning) msg.agentReasoning = JSON.parse(chatmsg.agentReasoning) - + if (chatmsg.agentReasoning) msg.agentReasoning = chatmsg.agentReasoning + if (chatmsg.artifacts) { + msg.artifacts = chatmsg.artifacts + msg.artifacts.forEach((artifact) => { + if (artifact.type === 'png' || artifact.type === 'jpeg') { + artifact.data = `${baseURL}/api/v1/get-upload-file?chatflowId=${chatmsg.chatflowid}&chatId=${ + chatmsg.chatId + }&fileName=${artifact.data.replace('FILE-STORAGE::', '')}` + } + }) + } if (!Object.prototype.hasOwnProperty.call(obj, chatPK)) { obj[chatPK] = { id: chatmsg.chatId, @@ -236,7 +385,9 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { } const dataStr = JSON.stringify(exportMessages, null, 2) - const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + //const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const blob = new Blob([dataStr], { type: 'application/json' }) + const dataUri = URL.createObjectURL(blob) const exportFileDefaultName = `${dialogProps.chatflow.id}-Message.json` @@ -285,8 +436,18 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { ) } }) - getChatmessageApi.request(chatflowid) - getStatsApi.request(chatflowid) // update stats + getChatmessageApi.request(chatflowid, { + startDate: startDate, + endDate: endDate, + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined + }) + getStatsApi.request(chatflowid, { + startDate: startDate, + endDate: endDate, + chatType: chatTypeFilter.length ? chatTypeFilter : undefined, + feedbackType: feedbackTypeFilter.length ? feedbackTypeFilter : undefined + }) } catch (error) { enqueueSnackbar({ message: typeof error.response.data === 'object' ? error.response.data.message : error.response.data, @@ -329,8 +490,7 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { }) } } - if (chatmsg.fileUploads) { - chatmsg.fileUploads = JSON.parse(chatmsg.fileUploads) + if (chatmsg.fileUploads && Array.isArray(chatmsg.fileUploads)) { chatmsg.fileUploads.forEach((file) => { if (file.type === 'stored-file') { file.data = `${baseURL}/api/v1/get-upload-file?chatflowId=${chatmsg.chatflowid}&chatId=${chatmsg.chatId}&fileName=${file.name}` @@ -342,11 +502,20 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { message: chatmsg.content, type: chatmsg.role } - if (chatmsg.sourceDocuments) obj.sourceDocuments = JSON.parse(chatmsg.sourceDocuments) - if (chatmsg.usedTools) obj.usedTools = JSON.parse(chatmsg.usedTools) - if (chatmsg.fileAnnotations) obj.fileAnnotations = JSON.parse(chatmsg.fileAnnotations) - if (chatmsg.agentReasoning) obj.agentReasoning = JSON.parse(chatmsg.agentReasoning) - + if (chatmsg.sourceDocuments) obj.sourceDocuments = chatmsg.sourceDocuments + if (chatmsg.usedTools) obj.usedTools = chatmsg.usedTools + if (chatmsg.fileAnnotations) obj.fileAnnotations = chatmsg.fileAnnotations + if (chatmsg.agentReasoning) obj.agentReasoning = chatmsg.agentReasoning + if (chatmsg.artifacts) { + obj.artifacts = chatmsg.artifacts + obj.artifacts.forEach((artifact) => { + if (artifact.type === 'png' || artifact.type === 'jpeg') { + artifact.data = `${baseURL}/api/v1/get-upload-file?chatflowId=${chatmsg.chatflowid}&chatId=${ + chatmsg.chatId + }&fileName=${artifact.data.replace('FILE-STORAGE::', '')}` + } + }) + } loadedMessages.push(obj) } setChatMessages(loadedMessages) @@ -443,6 +612,59 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { setSourceDialogOpen(true) } + const renderFileUploads = (item, index) => { + if (item?.mime?.startsWith('image/')) { + return ( + + + + ) + } else if (item?.mime?.startsWith('audio/')) { + return ( + /* eslint-disable jsx-a11y/media-has-caption */ + + ) + } else { + return ( + + + + {item.name} + + + ) + } + } + useEffect(() => { const leadEmailFromChatMessages = chatMessages.filter((message) => message.type === 'userMessage' && message.leadEmail) if (leadEmailFromChatMessages.length) { @@ -488,8 +710,14 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { useEffect(() => { if (dialogProps.chatflow) { - getChatmessageApi.request(dialogProps.chatflow.id) - getStatsApi.request(dialogProps.chatflow.id) + getChatmessageApi.request(dialogProps.chatflow.id, { + startDate: startDate, + endDate: endDate + }) + getStatsApi.request(dialogProps.chatflow.id, { + startDate: startDate, + endDate: endDate + }) } return () => { @@ -500,7 +728,7 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { setFeedbackTypeFilter([]) setSelectedMessageIndex(0) setSelectedChatId('') - setStartDate(new Date().setMonth(new Date().getMonth() - 1)) + setStartDate(new Date(new Date().setMonth(new Date().getMonth() - 1))) setEndDate(new Date()) setStats([]) setLeadEmail('') @@ -519,19 +747,104 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { if (dialogProps.chatflow) { // when the filter is cleared fetch all messages if (feedbackTypeFilter.length === 0) { - getChatmessageApi.request(dialogProps.chatflow.id) - getStatsApi.request(dialogProps.chatflow.id) + getChatmessageApi.request(dialogProps.chatflow.id, { + startDate: startDate, + endDate: endDate, + chatType: chatTypeFilter.length ? chatTypeFilter : undefined + }) + getStatsApi.request(dialogProps.chatflow.id, { + startDate: startDate, + endDate: endDate, + chatType: chatTypeFilter.length ? chatTypeFilter : undefined + }) } } // eslint-disable-next-line react-hooks/exhaustive-deps }, [feedbackTypeFilter]) + const agentReasoningArtifacts = (artifacts) => { + const newArtifacts = cloneDeep(artifacts) + for (let i = 0; i < newArtifacts.length; i++) { + const artifact = newArtifacts[i] + if (artifact && (artifact.type === 'png' || artifact.type === 'jpeg')) { + const data = artifact.data + newArtifacts[i].data = `${baseURL}/api/v1/get-upload-file?chatflowId=${ + dialogProps.chatflow.id + }&chatId=${selectedChatId}&fileName=${data.replace('FILE-STORAGE::', '')}` + } + } + return newArtifacts + } + + const renderArtifacts = (item, index, isAgentReasoning) => { + if (item.type === 'png' || item.type === 'jpeg') { + return ( + + + + ) + } else if (item.type === 'html') { + return ( +
+
+
+ ) + } else { + return ( + + ) : ( + + {children} + + ) + } + }} + > + {item.data} + + ) + } + } + const component = show ? ( @@ -637,6 +950,11 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { />
+ {stats.totalMessages > 0 && ( + + )}
{ width: '100%' }} > - {message.usedTools && ( -
- {message.usedTools.map((tool, index) => { - return ( - onSourceDialogClick(tool, 'Used Tools')} - /> - ) - })} -
- )} {message.fileUploads && message.fileUploads.length > 0 && (
{ }} > {message.fileUploads.map((item, index) => { - return ( - <> - {item.mime.startsWith('image/') ? ( - - - - ) : ( - // eslint-disable-next-line jsx-a11y/media-has-caption - - )} - - ) + return <>{renderFileUploads(item, index)} })}
)} @@ -947,10 +1217,30 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { key={index} label={tool.tool} component='a' - sx={{ mr: 1, mt: 1 }} + sx={{ + mr: 1, + mt: 1, + borderColor: tool.error + ? 'error.main' + : undefined, + color: tool.error + ? 'error.main' + : undefined + }} variant='outlined' clickable - icon={} + icon={ + + } onClick={() => onSourceDialogClick( tool, @@ -990,6 +1280,31 @@ const ViewMessagesDialog = ({ show, dialogProps, onCancel }) => { />
)} + {agent.artifacts && ( +
+ {agentReasoningArtifacts( + agent.artifacts + ).map((item, index) => { + return item !== null ? ( + <> + {renderArtifacts( + item, + index, + true + )} + + ) : null + })} +
+ )} {agent.messages.length > 0 && ( { return !inline ? ( { })} )} + {message.usedTools && ( +
+ {message.usedTools.map((tool, index) => { + return ( + + } + onClick={() => onSourceDialogClick(tool, 'Used Tools')} + /> + ) + })} +
+ )} + {message.artifacts && ( +
+ {message.artifacts.map((item, index) => { + return item !== null ? ( + <>{renderArtifacts(item, index)} + ) : null + })} +
+ )}
{/* Messages are being rendered in Markdown format */} { )}
setSourceDialogOpen(false)} /> + setHardDeleteDialogOpen(false)} + onConfirm={(hardDelete) => deleteMessages(hardDelete)} + /> diff --git a/packages/ui/src/ui-component/dropdown/AsyncDropdown.jsx b/packages/ui/src/ui-component/dropdown/AsyncDropdown.jsx index 4b743d56fb1..5d4a0935b4a 100644 --- a/packages/ui/src/ui-component/dropdown/AsyncDropdown.jsx +++ b/packages/ui/src/ui-component/dropdown/AsyncDropdown.jsx @@ -29,7 +29,10 @@ const fetchList = async ({ name, nodeData }) => { const loadMethod = nodeData.inputParams.find((param) => param.name === name)?.loadMethod let lists = await client - .post(`/node-load-method/${nodeData.name}`, { ...nodeData, loadMethod }) + .post( + `${baseURL}/api/v1/node-load-method/${nodeData.name}`, + { ...nodeData, loadMethod } + ) .then(async function (response) { return response.data }) @@ -48,15 +51,28 @@ export const AsyncDropdown = ({ onCreateNew, credentialNames = [], disabled = false, - disableClearable = false + freeSolo = false, + disableClearable = false, + multiple = false }) => { const customization = useSelector((state) => state.customization) const [open, setOpen] = useState(false) const [options, setOptions] = useState([]) const [loading, setLoading] = useState(false) - const findMatchingOptions = (options = [], value) => options.find((option) => option.name === value) - const getDefaultOptionValue = () => '' + const findMatchingOptions = (options = [], value) => { + if (multiple) { + let values = [] + if ('choose an option' !== value && value && typeof value === 'string') { + values = JSON.parse(value) + } else { + values = value + } + return options.filter((option) => values.includes(option.name)) + } + return options.find((option) => option.name === value) + } + const getDefaultOptionValue = () => (multiple ? [] : '') const addNewOption = [{ label: '- Create New -', name: '-create-' }] let [internalValue, setInternalValue] = useState(value ?? 'choose an option') @@ -104,8 +120,11 @@ export const AsyncDropdown = ({ <> { - const value = selection ? selection.name : '' - if (isCreateNewOption && value === '-create-') { - onCreateNew() - } else { + if (multiple) { + let value = '' + if (selection.length) { + const selectionNames = selection.map((item) => item.name) + value = JSON.stringify(selectionNames) + } setInternalValue(value) onSelect(value) + } else { + const value = selection ? selection.name : '' + if (isCreateNewOption && value === '-create-') { + onCreateNew() + } else { + setInternalValue(value) + onSelect(value) + } } }} PopperComponent={StyledPopper} @@ -166,7 +195,9 @@ AsyncDropdown.propTypes = { onSelect: PropTypes.func, onCreateNew: PropTypes.func, disabled: PropTypes.bool, + freeSolo: PropTypes.bool, credentialNames: PropTypes.array, disableClearable: PropTypes.bool, - isCreateNewOption: PropTypes.bool + isCreateNewOption: PropTypes.bool, + multiple: PropTypes.bool } diff --git a/packages/ui/src/ui-component/dropdown/Dropdown.jsx b/packages/ui/src/ui-component/dropdown/Dropdown.jsx index 65b4f89e350..333b3cca1c8 100644 --- a/packages/ui/src/ui-component/dropdown/Dropdown.jsx +++ b/packages/ui/src/ui-component/dropdown/Dropdown.jsx @@ -18,7 +18,7 @@ const StyledPopper = styled(Popper)({ } }) -export const Dropdown = ({ name, value, loading, options, onSelect, disabled = false, disableClearable = false }) => { +export const Dropdown = ({ name, value, loading, options, onSelect, disabled = false, freeSolo = false, disableClearable = false }) => { const customization = useSelector((state) => state.customization) const findMatchingOptions = (options = [], value) => options.find((option) => option.name === value) const getDefaultOptionValue = () => '' @@ -29,6 +29,7 @@ export const Dropdown = ({ name, value, loading, options, onSelect, disabled = f ( - - )} + renderInput={(params) => { + const matchingOption = findMatchingOptions(options, internalValue) + return ( + + ) : null + }} + /> + ) + }} renderOption={(props, option) => ( - + + {option.imageSrc && ( + {option.description} + )}
{option.label} {option.description && ( @@ -64,6 +102,7 @@ Dropdown.propTypes = { value: PropTypes.string, loading: PropTypes.bool, options: PropTypes.array, + freeSolo: PropTypes.bool, onSelect: PropTypes.func, disabled: PropTypes.bool, disableClearable: PropTypes.bool diff --git a/packages/ui/src/ui-component/extended/AllowedDomains.jsx b/packages/ui/src/ui-component/extended/AllowedDomains.jsx index 8c6e70dceb5..b13d660d5c4 100644 --- a/packages/ui/src/ui-component/extended/AllowedDomains.jsx +++ b/packages/ui/src/ui-component/extended/AllowedDomains.jsx @@ -4,7 +4,7 @@ import PropTypes from 'prop-types' import { enqueueSnackbar as enqueueSnackbarAction, closeSnackbar as closeSnackbarAction, SET_CHATFLOW } from '@/store/actions' // material-ui -import { Button, IconButton, OutlinedInput, Box, List, InputAdornment, Typography } from '@mui/material' +import { Button, IconButton, OutlinedInput, Box, InputAdornment, Stack, Typography } from '@mui/material' import { IconX, IconTrash, IconPlus } from '@tabler/icons-react' // Project import @@ -118,23 +118,17 @@ const AllowedDomains = ({ dialogProps }) => { }, [dialogProps]) return ( - <> - - - - Allowed Domains - - - - + + + Allowed Domains + + + + + Domains {inputFields.map((origin, index) => { return (
@@ -176,11 +170,9 @@ const AllowedDomains = ({ dialogProps }) => {
) })} - - - -
- + + + Error Message { setErrorMessage(e.target.value) }} /> -
- + + Save - + ) } diff --git a/packages/ui/src/ui-component/extended/AnalyseFlow.jsx b/packages/ui/src/ui-component/extended/AnalyseFlow.jsx index 56f227c587c..071355b1945 100644 --- a/packages/ui/src/ui-component/extended/AnalyseFlow.jsx +++ b/packages/ui/src/ui-component/extended/AnalyseFlow.jsx @@ -28,6 +28,8 @@ import langsmithPNG from '@/assets/images/langchain.png' import langfuseSVG from '@/assets/images/langfuse.svg' import lunarySVG from '@/assets/images/lunary.svg' import langwatchSVG from '@/assets/images/langwatch.svg' +import arizePNG from '@/assets/images/arize.png' +import phoenixPNG from '@/assets/images/phoenix.png' // store import useNotifier from '@/utils/useNotifier' @@ -131,6 +133,62 @@ const analyticProviders = [ optional: true } ] + }, + { + label: 'Arize', + name: 'arize', + icon: arizePNG, + url: 'https://arize.com', + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['arizeApi'] + }, + { + label: 'Project Name', + name: 'projectName', + type: 'string', + optional: true, + description: 'If not provided, default will be used.', + placeholder: 'default' + }, + { + label: 'On/Off', + name: 'status', + type: 'boolean', + optional: true + } + ] + }, + { + label: 'Phoenix', + name: 'phoenix', + icon: phoenixPNG, + url: 'https://phoenix.arize.com', + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['phoenixApi'] + }, + { + label: 'Project Name', + name: 'projectName', + type: 'string', + optional: true, + description: 'If not provided, default will be used.', + placeholder: 'default' + }, + { + label: 'On/Off', + name: 'status', + type: 'boolean', + optional: true + } + ] } ] diff --git a/packages/ui/src/ui-component/extended/FileUpload.jsx b/packages/ui/src/ui-component/extended/FileUpload.jsx new file mode 100644 index 00000000000..d6fc8f02aba --- /dev/null +++ b/packages/ui/src/ui-component/extended/FileUpload.jsx @@ -0,0 +1,150 @@ +import { useDispatch } from 'react-redux' +import { useState, useEffect } from 'react' +import PropTypes from 'prop-types' +import { enqueueSnackbar as enqueueSnackbarAction, closeSnackbar as closeSnackbarAction, SET_CHATFLOW } from '@/store/actions' +import parser from 'html-react-parser' + +// material-ui +import { Button, Box } from '@mui/material' +import { IconX, IconBulb } from '@tabler/icons-react' + +// Project import +import { StyledButton } from '@/ui-component/button/StyledButton' +import { SwitchInput } from '@/ui-component/switch/Switch' + +// store +import useNotifier from '@/utils/useNotifier' + +// API +import chatflowsApi from '@/api/chatflows' + +const message = `Uploaded files will be parsed as strings and sent to the LLM. If file upload is enabled on the Vector Store as well, this will override and take precedence. +
+Refer docs for more details.` + +const FileUpload = ({ dialogProps }) => { + const dispatch = useDispatch() + + useNotifier() + + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + const [fullFileUpload, setFullFileUpload] = useState(false) + const [chatbotConfig, setChatbotConfig] = useState({}) + + const handleChange = (value) => { + setFullFileUpload(value) + } + + const onSave = async () => { + try { + const value = { + status: fullFileUpload + } + chatbotConfig.fullFileUpload = value + + const saveResp = await chatflowsApi.updateChatflow(dialogProps.chatflow.id, { + chatbotConfig: JSON.stringify(chatbotConfig) + }) + if (saveResp.data) { + enqueueSnackbar({ + message: 'File Upload Configuration Saved', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + dispatch({ type: SET_CHATFLOW, chatflow: saveResp.data }) + } + } catch (error) { + enqueueSnackbar({ + message: `Failed to save File Upload Configuration: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + useEffect(() => { + if (dialogProps.chatflow) { + if (dialogProps.chatflow.chatbotConfig) { + try { + let chatbotConfig = JSON.parse(dialogProps.chatflow.chatbotConfig) + setChatbotConfig(chatbotConfig || {}) + if (chatbotConfig.fullFileUpload) { + setFullFileUpload(chatbotConfig.fullFileUpload.status) + } + } catch (e) { + setChatbotConfig({}) + } + } + } + + return () => {} + }, [dialogProps]) + + return ( + <> + +
+
+ + {parser(message)} +
+
+ + + {/* TODO: Allow selection of allowed file types*/} + + Save + + + ) +} + +FileUpload.propTypes = { + dialogProps: PropTypes.object +} + +export default FileUpload diff --git a/packages/ui/src/ui-component/extended/FollowUpPrompts.jsx b/packages/ui/src/ui-component/extended/FollowUpPrompts.jsx new file mode 100644 index 00000000000..911c270e044 --- /dev/null +++ b/packages/ui/src/ui-component/extended/FollowUpPrompts.jsx @@ -0,0 +1,603 @@ +import PropTypes from 'prop-types' +import { Box, Button, FormControl, ListItem, ListItemAvatar, ListItemText, MenuItem, Select, Typography } from '@mui/material' +import { useEffect, useState } from 'react' +import { useDispatch } from 'react-redux' + +// Project Imports +import { StyledButton } from '@/ui-component/button/StyledButton' +import { SwitchInput } from '@/ui-component/switch/Switch' +import chatflowsApi from '@/api/chatflows' +import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction, SET_CHATFLOW } from '@/store/actions' +import useNotifier from '@/utils/useNotifier' +import anthropicIcon from '@/assets/images/anthropic.svg' +import azureOpenAiIcon from '@/assets/images/azure_openai.svg' +import mistralAiIcon from '@/assets/images/mistralai.svg' +import openAiIcon from '@/assets/images/openai.svg' +import groqIcon from '@/assets/images/groq.gif' +import ollamaIcon from '@/assets/images/ollama.svg' +import { TooltipWithParser } from '@/ui-component/tooltip/TooltipWithParser' +import CredentialInputHandler from '@/views/canvas/CredentialInputHandler' +import { Input } from '@/ui-component/input/Input' +import { AsyncDropdown } from '@/ui-component/dropdown/AsyncDropdown' + +// Icons +import { IconX } from '@tabler/icons-react' +import { Dropdown } from '@/ui-component/dropdown/Dropdown' +import Image from 'next/image' + +const promptDescription = + 'Prompt to generate questions based on the conversation history. You can use variable {history} to refer to the conversation history.' +const defaultPrompt = + 'Given the following conversations: {history}. Please help me predict the three most likely questions that human would ask and keeping each question short and concise.' + +// update when adding new providers +const FollowUpPromptProviders = { + ANTHROPIC: 'chatAnthropic', + AZURE_OPENAI: 'azureChatOpenAI', + GOOGLE_GENAI: 'chatGoogleGenerativeAI', + GROQ: 'groqChat', + MISTRALAI: 'chatMistralAI', + OPENAI: 'chatOpenAI', + OLLAMA: 'ollama' +} + +const followUpPromptsOptions = { + [FollowUpPromptProviders.ANTHROPIC]: { + label: 'Anthropic Claude', + name: FollowUpPromptProviders.ANTHROPIC, + icon: anthropicIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['anthropicApi'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'asyncOptions', + loadMethod: 'listModels' + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.AZURE_OPENAI]: { + label: 'Azure ChatOpenAI', + name: FollowUpPromptProviders.AZURE_OPENAI, + icon: azureOpenAiIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['azureOpenAIApi'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'asyncOptions', + loadMethod: 'listModels' + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.GOOGLE_GENAI]: { + label: 'Google Gemini', + name: FollowUpPromptProviders.GOOGLE_GENAI, + icon: azureOpenAiIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['googleGenerativeAI'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'options', + default: 'gemini-1.5-pro-latest', + options: [ + { label: 'gemini-1.5-flash-latest', name: 'gemini-1.5-flash-latest' }, + { label: 'gemini-1.5-pro-latest', name: 'gemini-1.5-pro-latest' } + ] + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.GROQ]: { + label: 'Groq', + name: FollowUpPromptProviders.GROQ, + icon: groqIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['groqApi'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'asyncOptions', + loadMethod: 'listModels' + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.MISTRALAI]: { + label: 'Mistral AI', + name: FollowUpPromptProviders.MISTRALAI, + icon: mistralAiIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['mistralAIApi'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'options', + options: [ + { label: 'mistral-large-latest', name: 'mistral-large-latest' }, + { label: 'mistral-large-2402', name: 'mistral-large-2402' } + ] + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.OPENAI]: { + label: 'OpenAI', + name: FollowUpPromptProviders.OPENAI, + icon: openAiIcon, + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['openAIApi'] + }, + { + label: 'Model Name', + name: 'modelName', + type: 'asyncOptions', + loadMethod: 'listModels' + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.9 + } + ] + }, + [FollowUpPromptProviders.OLLAMA]: { + label: 'Ollama', + name: FollowUpPromptProviders.OLLAMA, + icon: ollamaIcon, + inputs: [ + { + label: 'Model Name', + name: 'modelName', + type: 'string', + placeholder: 'llama2', + description: 'Name of the Ollama model to use', + default: 'llama3.2-vision:latest' + }, + { + label: 'Prompt', + name: 'prompt', + type: 'string', + rows: 4, + description: promptDescription, + optional: true, + default: defaultPrompt + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + optional: true, + default: 0.7 + } + ] + } +} + +const FollowUpPrompts = ({ dialogProps }) => { + const dispatch = useDispatch() + + useNotifier() + + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + const [followUpPromptsConfig, setFollowUpPromptsConfig] = useState({}) + const [chatbotConfig, setChatbotConfig] = useState({}) + const [selectedProvider, setSelectedProvider] = useState('none') + + const handleChange = (key, value) => { + setFollowUpPromptsConfig({ + ...followUpPromptsConfig, + [key]: value + }) + } + + const handleSelectedProviderChange = (event) => { + const selectedProvider = event.target.value + setSelectedProvider(selectedProvider) + handleChange('selectedProvider', selectedProvider) + } + + const setValue = (value, providerName, inputParamName) => { + let newVal = {} + if (!Object.prototype.hasOwnProperty.call(followUpPromptsConfig, providerName)) { + newVal = { ...followUpPromptsConfig, [providerName]: {} } + } else { + newVal = { ...followUpPromptsConfig } + } + + newVal[providerName][inputParamName] = value + if (inputParamName === 'status' && value === true) { + // ensure that the others are turned off + Object.keys(followUpPromptsOptions).forEach((key) => { + const provider = followUpPromptsOptions[key] + if (provider.name !== providerName) { + newVal[provider.name] = { ...followUpPromptsConfig[provider.name], status: false } + } + }) + } + setFollowUpPromptsConfig(newVal) + return newVal + } + + const onSave = async () => { + // TODO: saving without changing the prompt will not save the prompt + try { + let value = { + followUpPrompts: { status: followUpPromptsConfig.status } + } + chatbotConfig.followUpPrompts = value.followUpPrompts + + // if the prompt is not set, save the default prompt + const selectedProvider = followUpPromptsConfig.selectedProvider + + if (selectedProvider && followUpPromptsConfig[selectedProvider] && followUpPromptsOptions[selectedProvider]) { + if (!followUpPromptsConfig[selectedProvider].prompt) { + followUpPromptsConfig[selectedProvider].prompt = followUpPromptsOptions[selectedProvider].inputs.find( + (input) => input.name === 'prompt' + )?.default + } + + if (!followUpPromptsConfig[selectedProvider].temperature) { + followUpPromptsConfig[selectedProvider].temperature = followUpPromptsOptions[selectedProvider].inputs.find( + (input) => input.name === 'temperature' + )?.default + } + } + + const saveResp = await chatflowsApi.updateChatflow(dialogProps.chatflow.id, { + chatbotConfig: JSON.stringify(chatbotConfig), + followUpPrompts: JSON.stringify(followUpPromptsConfig) + }) + if (saveResp.data) { + enqueueSnackbar({ + message: 'Follow-up Prompts configuration saved', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + dispatch({ type: SET_CHATFLOW, chatflow: saveResp.data }) + } + } catch (error) { + const errorData = error.response.data || `${error.response.status}: ${error.response.statusText}` + enqueueSnackbar({ + message: `Failed to save follow-up prompts configuration: ${errorData}`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + useEffect(() => { + if (dialogProps.chatflow && dialogProps.chatflow.followUpPrompts) { + let chatbotConfig = JSON.parse(dialogProps.chatflow.chatbotConfig) + let followUpPromptsConfig = JSON.parse(dialogProps.chatflow.followUpPrompts) + setChatbotConfig(chatbotConfig || {}) + if (followUpPromptsConfig) { + setFollowUpPromptsConfig(followUpPromptsConfig) + setSelectedProvider(followUpPromptsConfig.selectedProvider) + } + } + + return () => {} + }, [dialogProps]) + + const checkDisabled = () => { + if (followUpPromptsConfig && followUpPromptsConfig.status) { + if (selectedProvider === 'none') { + return true + } + const provider = followUpPromptsOptions[selectedProvider] + for (let inputParam of provider.inputs) { + if (!inputParam.optional) { + const param = inputParam.name === 'credential' ? 'credentialId' : inputParam.name + if ( + !followUpPromptsConfig[selectedProvider] || + !followUpPromptsConfig[selectedProvider][param] || + followUpPromptsConfig[selectedProvider][param] === '' + ) { + return true + } + } + } + } + return false + } + + return ( + <> + + handleChange('status', value)} + value={followUpPromptsConfig.status} + /> + {followUpPromptsConfig && followUpPromptsConfig.status && ( + <> + Providers + + + + {selectedProvider !== 'none' && ( + <> + + +
+ AI +
+ + + {followUpPromptsOptions[selectedProvider].url} + + } + /> + + {followUpPromptsOptions[selectedProvider].inputs.map((inputParam, index) => ( + +
+ + {inputParam.label} + {!inputParam.optional &&  *} + {inputParam.description && ( + + )} + +
+ {inputParam.type === 'credential' && ( + setValue(newValue, selectedProvider, 'credentialId')} + /> + )} + + {(inputParam.type === 'string' || + inputParam.type === 'password' || + inputParam.type === 'number') && ( + setValue(newValue, selectedProvider, inputParam.name)} + value={ + followUpPromptsConfig[selectedProvider] && + followUpPromptsConfig[selectedProvider][inputParam.name] + ? followUpPromptsConfig[selectedProvider][inputParam.name] + : inputParam.default ?? '' + } + /> + )} + + {inputParam.type === 'asyncOptions' && ( + <> +
+ setValue(newValue, selectedProvider, inputParam.name)} + /> +
+ + )} + + {inputParam.type === 'options' && ( + setValue(newValue, selectedProvider, inputParam.name)} + value={ + followUpPromptsConfig[selectedProvider] && + followUpPromptsConfig[selectedProvider][inputParam.name] + ? followUpPromptsConfig[selectedProvider][inputParam] + : inputParam.default ?? 'choose an option' + } + /> + )} + + ))} + + )} + + )} + + + Save + + + ) +} + +FollowUpPrompts.propTypes = { + dialogProps: PropTypes.object +} + +export default FollowUpPrompts diff --git a/packages/ui/src/ui-component/extended/OverrideConfig.jsx b/packages/ui/src/ui-component/extended/OverrideConfig.jsx new file mode 100644 index 00000000000..5f398fe01d6 --- /dev/null +++ b/packages/ui/src/ui-component/extended/OverrideConfig.jsx @@ -0,0 +1,436 @@ +import PropTypes from 'prop-types' +import { useEffect, useState } from 'react' +import { useDispatch, useSelector } from 'react-redux' +import { + Accordion, + AccordionDetails, + AccordionSummary, + Button, + Paper, + Stack, + Table, + TableBody, + TableCell, + TableContainer, + TableHead, + TableRow, + Typography, + Card +} from '@mui/material' +import { useTheme } from '@mui/material/styles' + +// Project import +import { StyledButton } from '@/ui-component/button/StyledButton' +import { TooltipWithParser } from '@/ui-component/tooltip/TooltipWithParser' +import { SwitchInput } from '@/ui-component/switch/Switch' +import useNotifier from '@/utils/useNotifier' +import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction, SET_CHATFLOW } from '@/store/actions' + +// Icons +import ExpandMoreIcon from '@mui/icons-material/ExpandMore' +import { IconX, IconBox, IconVariable } from '@tabler/icons-react' + +// API +import useApi from '@/hooks/useApi' +import chatflowsApi from '@/api/chatflows' +import configApi from '@/api/config' +import variablesApi from '@/api/variables' + +// utils + +const OverrideConfigTable = ({ columns, onToggle, rows, sx }) => { + const handleChange = (enabled, row) => { + onToggle(row, enabled) + } + + return ( + + + + + {columns.map((col, index) => ( + {col.charAt(0).toUpperCase() + col.slice(1)} + ))} + + + + {rows.map((row, index) => ( + + {Object.keys(row).map((key, index) => { + if (key !== 'id') { + return ( + + {key === 'enabled' ? ( + handleChange(enabled, row)} value={row.enabled} /> + ) : ( + row[key] + )} + + ) + } + })} + + ))} + +
+ + ) +} + +OverrideConfigTable.propTypes = { + rows: PropTypes.array, + columns: PropTypes.array, + sx: PropTypes.object, + onToggle: PropTypes.func +} + +const OverrideConfig = ({ dialogProps }) => { + const dispatch = useDispatch() + const chatflow = useSelector((state) => state.canvas.chatflow) + const chatflowid = chatflow.id + const apiConfig = chatflow.apiConfig ? JSON.parse(chatflow.apiConfig) : {} + + useNotifier() + const theme = useTheme() + + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + const [nodeConfig, setNodeConfig] = useState(null) + const [nodeConfigExpanded, setNodeConfigExpanded] = useState({}) + const [overrideConfigStatus, setOverrideConfigStatus] = useState( + apiConfig?.overrideConfig?.status !== undefined ? apiConfig.overrideConfig.status : false + ) + const [nodeOverrides, setNodeOverrides] = useState(apiConfig?.overrideConfig?.nodes !== undefined ? apiConfig.overrideConfig.nodes : {}) + const [variableOverrides, setVariableOverrides] = useState( + apiConfig?.overrideConfig?.variables !== undefined ? apiConfig.overrideConfig.variables : [] + ) + + const getConfigApi = useApi(configApi.getConfig) + const getAllVariablesApi = useApi(variablesApi.getAllVariables) + + const handleAccordionChange = (nodeLabel) => (event, isExpanded) => { + const accordianNodes = { ...nodeConfigExpanded } + accordianNodes[nodeLabel] = isExpanded + setNodeConfigExpanded(accordianNodes) + } + + const formatObj = () => { + const obj = { + overrideConfig: { status: overrideConfigStatus } + } + + if (overrideConfigStatus) { + // loop through each key in nodeOverrides and filter out the enabled ones + const filteredNodeOverrides = {} + for (const key in nodeOverrides) { + filteredNodeOverrides[key] = nodeOverrides[key].filter((node) => node.enabled) + } + + obj.overrideConfig = { + ...obj.overrideConfig, + nodes: filteredNodeOverrides, + variables: variableOverrides.filter((node) => node.enabled) + } + } + + return obj + } + + const onNodeOverrideToggle = (node, property, status) => { + setNodeOverrides((prev) => { + const newConfig = { ...prev } + newConfig[node] = newConfig[node].map((item) => { + if (item.name === property) { + item.enabled = status + } + return item + }) + return newConfig + }) + } + + const onVariableOverrideToggle = (id, status) => { + setVariableOverrides((prev) => { + return prev.map((item) => { + if (item.id === id) { + item.enabled = status + } + return item + }) + }) + } + + const groupByNodeLabel = (nodes) => { + const result = {} + const newNodeOverrides = {} + const seenNodes = new Set() + + nodes.forEach((item) => { + const { node, nodeId, label, name, type } = item + seenNodes.add(node) + + if (!result[node]) { + result[node] = { + nodeIds: [], + params: [] + } + } + + if (!newNodeOverrides[node]) { + // If overrideConfigStatus is true, copy existing config for this node + newNodeOverrides[node] = overrideConfigStatus ? [...(nodeOverrides[node] || [])] : [] + } + + if (!result[node].nodeIds.includes(nodeId)) result[node].nodeIds.push(nodeId) + + const param = { label, name, type } + + if (!result[node].params.some((existingParam) => JSON.stringify(existingParam) === JSON.stringify(param))) { + result[node].params.push(param) + const paramExists = newNodeOverrides[node].some( + (existingParam) => existingParam.label === label && existingParam.name === name && existingParam.type === type + ) + if (!paramExists) { + newNodeOverrides[node].push({ ...param, enabled: false }) + } + } + }) + + // Sort the nodeIds array + for (const node in result) { + result[node].nodeIds.sort() + } + setNodeConfig(result) + + if (!overrideConfigStatus) { + setNodeOverrides(newNodeOverrides) + } else { + const updatedNodeOverrides = { ...nodeOverrides } + + Object.keys(updatedNodeOverrides).forEach((node) => { + if (!seenNodes.has(node)) { + delete updatedNodeOverrides[node] + } + }) + + seenNodes.forEach((node) => { + if (!updatedNodeOverrides[node]) { + updatedNodeOverrides[node] = newNodeOverrides[node] + } + }) + + setNodeOverrides(updatedNodeOverrides) + } + } + + const groupByVariableLabel = (variables) => { + const newVariables = [] + const seenVariables = new Set() + + variables.forEach((item) => { + const { id, name, type } = item + seenVariables.add(id) + + const param = { id, name, type } + const existingVariable = variableOverrides?.find((existingParam) => existingParam.id === id) + + if (existingVariable) { + if (!newVariables.some((existingVariable) => existingVariable.id === id)) { + newVariables.push({ ...existingVariable }) + } + } else { + if (!newVariables.some((existingVariable) => existingVariable.id === id)) { + newVariables.push({ ...param, enabled: false }) + } + } + }) + + if (variableOverrides) { + variableOverrides.forEach((existingVariable) => { + if (!seenVariables.has(existingVariable.id)) { + const index = newVariables.findIndex((newVariable) => newVariable.id === existingVariable.id) + if (index !== -1) { + newVariables.splice(index, 1) + } + } + }) + } + + setVariableOverrides(newVariables) + } + + const onOverrideConfigSave = async () => { + try { + const saveResp = await chatflowsApi.updateChatflow(chatflowid, { + apiConfig: JSON.stringify(formatObj()) + }) + if (saveResp.data) { + enqueueSnackbar({ + message: 'Override Configuration Saved', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + dispatch({ type: SET_CHATFLOW, chatflow: saveResp.data }) + } + } catch (error) { + enqueueSnackbar({ + message: `Failed to save Override Configuration: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + useEffect(() => { + if (dialogProps.chatflow) { + getConfigApi.request(dialogProps.chatflow.id) + getAllVariablesApi.request() + } + + return () => {} + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [dialogProps]) + + useEffect(() => { + if (getConfigApi.data) { + groupByNodeLabel(getConfigApi.data) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [getConfigApi.data]) + + useEffect(() => { + if (getAllVariablesApi.data) { + groupByVariableLabel(getAllVariablesApi.data) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [getAllVariablesApi.data]) + + return ( + + + Override Configuration + documentation for more information.' + } + /> + + + + {overrideConfigStatus && ( + <> + {nodeOverrides && nodeConfig && ( + + + + Nodes + + + {Object.keys(nodeOverrides) + .sort() + .map((nodeLabel) => ( + + } + aria-controls={`nodes-accordian-${nodeLabel}`} + id={`nodes-accordian-header-${nodeLabel}`} + > + + {nodeLabel} + {nodeConfig[nodeLabel].nodeIds.length > 0 && + nodeConfig[nodeLabel].nodeIds.map((nodeId, index) => ( +
+ + {nodeId} + +
+ ))} + + + + 0 + ? Object.keys(nodeOverrides[nodeLabel][0]) + : [] + } + onToggle={(property, status) => + onNodeOverrideToggle(nodeLabel, property.name, status) + } + /> + + + ))} + + + )} + {variableOverrides && variableOverrides.length > 0 && ( + + + + Variables + + onVariableOverrideToggle(property.id, status)} + /> + + )} + + )} + + + Save + + + ) +} + +OverrideConfig.propTypes = { + dialogProps: PropTypes.object +} + +export default OverrideConfig diff --git a/packages/ui/src/ui-component/extended/PostProcessing.jsx b/packages/ui/src/ui-component/extended/PostProcessing.jsx new file mode 100644 index 00000000000..fd56a3eb683 --- /dev/null +++ b/packages/ui/src/ui-component/extended/PostProcessing.jsx @@ -0,0 +1,228 @@ +import { useDispatch } from 'react-redux' +import { useState, useEffect } from 'react' +import PropTypes from 'prop-types' +import { useSelector } from 'react-redux' + +// material-ui +import { IconButton, Button, Box, Typography } from '@mui/material' +import { IconArrowsMaximize, IconBulb, IconX } from '@tabler/icons-react' +import { useTheme } from '@mui/material/styles' + +// Project import +import { StyledButton } from '@/ui-component/button/StyledButton' +import { SwitchInput } from '@/ui-component/switch/Switch' +import { CodeEditor } from '@/ui-component/editor/CodeEditor' +import ExpandTextDialog from '@/ui-component/dialog/ExpandTextDialog' + +// store +import { enqueueSnackbar as enqueueSnackbarAction, closeSnackbar as closeSnackbarAction, SET_CHATFLOW } from '@/store/actions' +import useNotifier from '@/utils/useNotifier' + +// API +import chatflowsApi from '@/api/chatflows' + +const sampleFunction = `return $flow.rawOutput + " This is a post processed response!";` + +const PostProcessing = ({ dialogProps }) => { + const dispatch = useDispatch() + + useNotifier() + const theme = useTheme() + const customization = useSelector((state) => state.customization) + + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + + const [postProcessingEnabled, setPostProcessingEnabled] = useState(false) + const [postProcessingFunction, setPostProcessingFunction] = useState('') + const [chatbotConfig, setChatbotConfig] = useState({}) + const [showExpandDialog, setShowExpandDialog] = useState(false) + const [expandDialogProps, setExpandDialogProps] = useState({}) + + const handleChange = (value) => { + setPostProcessingEnabled(value) + } + + const onExpandDialogClicked = (value) => { + const dialogProps = { + value, + inputParam: { + label: 'Post Processing Function', + name: 'postProcessingFunction', + type: 'code', + placeholder: sampleFunction, + hideCodeExecute: true + }, + languageType: 'js', + confirmButtonName: 'Save', + cancelButtonName: 'Cancel' + } + setExpandDialogProps(dialogProps) + setShowExpandDialog(true) + } + + const onSave = async () => { + try { + let value = { + postProcessing: { + enabled: postProcessingEnabled, + customFunction: JSON.stringify(postProcessingFunction) + } + } + chatbotConfig.postProcessing = value.postProcessing + const saveResp = await chatflowsApi.updateChatflow(dialogProps.chatflow.id, { + chatbotConfig: JSON.stringify(chatbotConfig) + }) + if (saveResp.data) { + enqueueSnackbar({ + message: 'Post Processing Settings Saved', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + dispatch({ type: SET_CHATFLOW, chatflow: saveResp.data }) + } + } catch (error) { + enqueueSnackbar({ + message: `Failed to save Post Processing Settings: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } + + useEffect(() => { + if (dialogProps.chatflow && dialogProps.chatflow.chatbotConfig) { + let chatbotConfig = JSON.parse(dialogProps.chatflow.chatbotConfig) + setChatbotConfig(chatbotConfig || {}) + if (chatbotConfig.postProcessing) { + setPostProcessingEnabled(chatbotConfig.postProcessing.enabled) + if (chatbotConfig.postProcessing.customFunction) { + setPostProcessingFunction(JSON.parse(chatbotConfig.postProcessing.customFunction)) + } + } + } + + return () => {} + }, [dialogProps]) + + return ( + <> + + + + + + JS Function + +
+ onExpandDialogClicked(postProcessingFunction)} + > + + + + +
+ setPostProcessingFunction(code)} + basicSetup={{ highlightActiveLine: false, highlightActiveLineGutter: false }} + /> +
+ +
+
+ + + The following variables are available to use in the custom function:{' '} + 
$flow.rawOutput, $flow.input, $flow.chatflowId, $flow.sessionId, $flow.chatId
+ +
+
+ + Save + + setShowExpandDialog(false)} + onConfirm={(newValue) => { + setPostProcessingFunction(newValue) + setShowExpandDialog(false) + }} + > + + ) +} + +PostProcessing.propTypes = { + dialogProps: PropTypes.object +} + +export default PostProcessing diff --git a/packages/ui/src/ui-component/extended/RateLimit.jsx b/packages/ui/src/ui-component/extended/RateLimit.jsx index 1a578af6a5a..e392737c2ba 100644 --- a/packages/ui/src/ui-component/extended/RateLimit.jsx +++ b/packages/ui/src/ui-component/extended/RateLimit.jsx @@ -3,11 +3,12 @@ import { useDispatch, useSelector } from 'react-redux' import { enqueueSnackbar as enqueueSnackbarAction, closeSnackbar as closeSnackbarAction, SET_CHATFLOW } from '@/store/actions' import PropTypes from 'prop-types' -import { Box, Typography, Button, OutlinedInput } from '@mui/material' +import { Typography, Button, OutlinedInput, Stack } from '@mui/material' // Project import import { StyledButton } from '@/ui-component/button/StyledButton' import { TooltipWithParser } from '@/ui-component/tooltip/TooltipWithParser' +import { SwitchInput } from '@/ui-component/switch/Switch' // Icons import { IconX } from '@tabler/icons-react' @@ -29,29 +30,47 @@ const RateLimit = ({ dialogProps }) => { const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + const [rateLimitStatus, setRateLimitStatus] = useState(apiConfig?.rateLimit?.status !== undefined ? apiConfig.rateLimit.status : false) const [limitMax, setLimitMax] = useState(apiConfig?.rateLimit?.limitMax ?? '') const [limitDuration, setLimitDuration] = useState(apiConfig?.rateLimit?.limitDuration ?? '') const [limitMsg, setLimitMsg] = useState(apiConfig?.rateLimit?.limitMsg ?? '') const formatObj = () => { const obj = { - rateLimit: {} + rateLimit: { status: rateLimitStatus } } - const rateLimitValuesBoolean = [!limitMax, !limitDuration, !limitMsg] - const rateLimitFilledValues = rateLimitValuesBoolean.filter((value) => value === false) - if (rateLimitFilledValues.length >= 1 && rateLimitFilledValues.length <= 2) { - throw new Error('Need to fill all rate limit input fields') - } else if (rateLimitFilledValues.length === 3) { - obj.rateLimit = { - limitMax, - limitDuration, - limitMsg + + if (rateLimitStatus) { + const rateLimitValuesBoolean = [!limitMax, !limitDuration, !limitMsg] + const rateLimitFilledValues = rateLimitValuesBoolean.filter((value) => value === false) + if (rateLimitFilledValues.length >= 1 && rateLimitFilledValues.length <= 2) { + throw new Error('Need to fill all rate limit input fields') + } else if (rateLimitFilledValues.length === 3) { + obj.rateLimit = { + ...obj.rateLimit, + limitMax, + limitDuration, + limitMsg + } } } return obj } + const handleChange = (value) => { + setRateLimitStatus(value) + } + + const checkDisabled = () => { + if (rateLimitStatus) { + if (limitMax === '' || limitDuration === '' || limitMsg === '') { + return true + } + } + return false + } + const onSave = async () => { try { const saveResp = await chatflowsApi.updateChatflow(chatflowid, { @@ -107,46 +126,49 @@ const RateLimit = ({ dialogProps }) => { const textField = (message, fieldName, fieldLabel, fieldType = 'string', placeholder = '') => { return ( - -
- {fieldLabel} - { - onTextChanged(e.target.value, fieldName) - }} - /> -
- + + {fieldLabel} + { + onTextChanged(e.target.value, fieldName) + }} + /> + ) } return ( - <> - {/*Rate Limit*/} - + + Rate Limit{' '} Rate Limit Setup Guide to set up Rate Limit correctly in your hosting environment.' + 'Visit Rate Limit Setup Guide to set up Rate Limit correctly in your hosting environment.' } /> - {textField(limitMax, 'limitMax', 'Message Limit per Duration', 'number', '5')} - {textField(limitDuration, 'limitDuration', 'Duration in Second', 'number', '60')} - {textField(limitMsg, 'limitMsg', 'Limit Message', 'string', 'You have reached the quota')} - - onSave()}> - Save Changes + + + {rateLimitStatus && ( + + {textField(limitMax, 'limitMax', 'Message Limit per Duration', 'number', '5')} + {textField(limitDuration, 'limitDuration', 'Duration in Second', 'number', '60')} + {textField(limitMsg, 'limitMsg', 'Limit Message', 'string', 'You have reached the quota')} + + )} + + onSave()} sx={{ width: 'auto' }}> + Save - + ) } diff --git a/packages/ui/src/ui-component/extended/Security.jsx b/packages/ui/src/ui-component/extended/Security.jsx new file mode 100644 index 00000000000..b46847fcba0 --- /dev/null +++ b/packages/ui/src/ui-component/extended/Security.jsx @@ -0,0 +1,26 @@ +import PropTypes from 'prop-types' +import { Divider, Stack } from '@mui/material' +import { useTheme } from '@mui/material/styles' + +// Project import +import RateLimit from '@/ui-component/extended/RateLimit' +import AllowedDomains from '@/ui-component/extended/AllowedDomains' +import OverrideConfig from './OverrideConfig' + +const Security = ({ dialogProps }) => { + const theme = useTheme() + + return ( + } spacing={4}> + + + + + ) +} + +Security.propTypes = { + dialogProps: PropTypes.object +} + +export default Security diff --git a/packages/ui/src/ui-component/extended/SpeechToText.jsx b/packages/ui/src/ui-component/extended/SpeechToText.jsx index 3f3bdad12b4..1aa697efa84 100644 --- a/packages/ui/src/ui-component/extended/SpeechToText.jsx +++ b/packages/ui/src/ui-component/extended/SpeechToText.jsx @@ -17,6 +17,8 @@ import { Dropdown } from '@/ui-component/dropdown/Dropdown' import openAISVG from '@/assets/images/openai.svg' import assemblyAIPng from '@/assets/images/assemblyai.png' import localAiPng from '@/assets/images/localai.png' +import azureSvg from '@/assets/images/azure_openai.svg' +import groqPng from '@/assets/images/groq.gif' // store import useNotifier from '@/utils/useNotifier' @@ -30,7 +32,9 @@ import Image from 'next/image' const SpeechToTextType = { OPENAI_WHISPER: 'openAIWhisper', ASSEMBLYAI_TRANSCRIBE: 'assemblyAiTranscribe', - LOCALAI_STT: 'localAISTT' + LOCALAI_STT: 'localAISTT', + AZURE_COGNITIVE: 'azureCognitive', + GROQ_WHISPER: 'groqWhisper' } // Weird quirk - the key must match the name property value. @@ -140,6 +144,98 @@ const speechToTextProviders = { optional: true } ] + }, + [SpeechToTextType.AZURE_COGNITIVE]: { + label: 'Azure Cognitive Services', + name: SpeechToTextType.AZURE_COGNITIVE, + icon: azureSvg, + url: 'https://azure.microsoft.com/en-us/products/cognitive-services/speech-services', + inputs: [ + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['azureCognitiveServices'] + }, + { + label: 'Language', + name: 'language', + type: 'string', + description: 'The recognition language (e.g., "en-US", "es-ES")', + placeholder: 'en-US', + optional: true + }, + { + label: 'Profanity Filter Mode', + name: 'profanityFilterMode', + type: 'options', + description: 'How to handle profanity in the transcription', + options: [ + { + label: 'None', + name: 'None' + }, + { + label: 'Masked', + name: 'Masked' + }, + { + label: 'Removed', + name: 'Removed' + } + ], + default: 'Masked', + optional: true + }, + { + label: 'Audio Channels', + name: 'channels', + type: 'string', + description: 'Comma-separated list of audio channels to process (e.g., "0,1")', + placeholder: '0,1', + default: '0,1' + } + ] + }, + [SpeechToTextType.GROQ_WHISPER]: { + label: 'Groq Whisper', + name: SpeechToTextType.GROQ_WHISPER, + icon: groqPng, + url: 'https://console.groq.com/', + inputs: [ + { + label: 'Model', + name: 'model', + type: 'string', + description: `The STT model to load. Defaults to whisper-large-v3 if left blank.`, + placeholder: 'whisper-large-v3', + optional: true + }, + { + label: 'Connect Credential', + name: 'credential', + type: 'credential', + credentialNames: ['groqApi'] + }, + { + label: 'Language', + name: 'language', + type: 'string', + description: + 'The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.', + placeholder: 'en', + optional: true + }, + { + label: 'Temperature', + name: 'temperature', + type: 'number', + step: 0.1, + description: + 'The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.', + optional: true + } + ] } } @@ -211,6 +307,9 @@ const SpeechToText = ({ dialogProps }) => { newVal[provider.name] = { ...speechToText[provider.name], status: false } } }) + if (providerName !== 'none' && newVal['none']) { + newVal['none'].status = false + } } setSpeechToText(newVal) return newVal @@ -249,9 +348,7 @@ const SpeechToText = ({ dialogProps }) => { return ( <> - - Providers - + Providers + {isChatFlowAvailableForImageUploads && ( + + )} + {isChatFlowAvailableForFileUploads && ( + )} )} diff --git a/packages/ui/src/views/credentials/AddEditCredentialDialog.jsx b/packages/ui/src/views/credentials/AddEditCredentialDialog.jsx index 53b41ad38d0..31ca6f57ff0 100644 --- a/packages/ui/src/views/credentials/AddEditCredentialDialog.jsx +++ b/packages/ui/src/views/credentials/AddEditCredentialDialog.jsx @@ -39,6 +39,7 @@ import useApi from '@/hooks/useApi' // utils import useNotifier from '@/utils/useNotifier' +import { initializeDefaultNodeData } from '@/utils/genericHelper' // const import { baseURL, REDACTED_CREDENTIAL_VALUE } from '@/store/constant' @@ -122,7 +123,8 @@ const AddEditCredentialDialog = ({ show, dialogProps, onCancel, onConfirm, setEr // When credential dialog is to add a new credential setName('') setCredential({}) - setCredentialData({}) + const defaultCredentialData = initializeDefaultNodeData(dialogProps.credentialComponent.inputs) + setCredentialData(defaultCredentialData) setComponentCredential(dialogProps.credentialComponent) } diff --git a/packages/ui/src/views/docstore/DeleteDocStoreDialog.jsx b/packages/ui/src/views/docstore/DeleteDocStoreDialog.jsx index 647c8bd6c37..c6bbfc91096 100644 --- a/packages/ui/src/views/docstore/DeleteDocStoreDialog.jsx +++ b/packages/ui/src/views/docstore/DeleteDocStoreDialog.jsx @@ -147,7 +147,7 @@ const DeleteDocStoreDialog = ({ show, dialogProps, onCancel, onDelete }) => { {dialogProps.type === 'STORE' && dialogProps.recordManagerConfig && ( setRemoveFromVS(event.target.checked)} />} - label='Remove data from vector store' + label='Remove data from vector store and record manager' /> )} {removeFromVS && ( @@ -226,7 +226,7 @@ const DeleteDocStoreDialog = ({ show, dialogProps, onCancel, onDelete }) => { - diff --git a/packages/ui/src/views/docstore/DocStoreAPIDialog.jsx b/packages/ui/src/views/docstore/DocStoreAPIDialog.jsx new file mode 100644 index 00000000000..8cf06e75149 --- /dev/null +++ b/packages/ui/src/views/docstore/DocStoreAPIDialog.jsx @@ -0,0 +1,409 @@ +import { createPortal } from 'react-dom' +import { useState, useEffect } from 'react' +import PropTypes from 'prop-types' +import rehypeMathjax from 'rehype-mathjax' +import rehypeRaw from 'rehype-raw' +import remarkGfm from 'remark-gfm' +import remarkMath from 'remark-math' +import { MemoizedReactMarkdown } from '@/ui-component/markdown/MemoizedReactMarkdown' +import { CodeBlock } from '@/ui-component/markdown/CodeBlock' +import { Typography, Stack, Card, Accordion, AccordionSummary, AccordionDetails, Dialog, DialogContent, DialogTitle } from '@mui/material' +import { TableViewOnly } from '@/ui-component/table/Table' +import documentstoreApi from '@/api/documentstore' +import useApi from '@/hooks/useApi' +import { useTheme } from '@mui/material/styles' +import ExpandMoreIcon from '@mui/icons-material/ExpandMore' + +const DocStoreAPIDialog = ({ show, dialogProps, onCancel }) => { + const [nodeConfig, setNodeConfig] = useState({}) + const [values, setValues] = useState('') + const theme = useTheme() + const [nodeConfigExpanded, setNodeConfigExpanded] = useState({}) + + const getConfigApi = useApi(documentstoreApi.getDocumentStoreConfig) + + const formDataRequest = () => { + return `With the Upsert API, you can choose an existing document and reuse the same configuration for upserting. + +\`\`\`python +import requests +import json + +API_URL = "http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId}" +API_KEY = "your_api_key_here" + +# use form data to upload files +form_data = { + "files": ('my-another-file.pdf', open('my-another-file.pdf', 'rb')) +} + +body_data = { + "docId": "${dialogProps.loaderId}", + "metadata": {}, # Add additional metadata to the document chunks + "replaceExisting": True, # Replace existing document with the new upserted chunks + "createNewDocStore": False, # Create a new document store + "splitter": json.dumps({"config":{"chunkSize":20000}}) # Override existing configuration + # "loader": "", + # "vectorStore": "", + # "embedding": "", + # "recordManager": "", + # "docStore": "" +} + +headers = { + "Authorization": f"Bearer {BEARER_TOKEN}" +} + +def query(form_data): + response = requests.post(API_URL, files=form_data, data=body_data, headers=headers) + print(response) + return response.json() + +output = query(form_data) +print(output) +\`\`\` + +\`\`\`javascript +// use FormData to upload files +let formData = new FormData(); +formData.append("files", input.files[0]); +formData.append("docId", "${dialogProps.loaderId}"); +formData.append("splitter", JSON.stringify({"config":{"chunkSize":20000}})); +// Add additional metadata to the document chunks +formData.append("metadata", "{}"); +// Replace existing document with the new upserted chunks +formData.append("replaceExisting", "true"); +// Create a new document store +formData.append("createNewDocStore", "false"); +// Override existing configuration +// formData.append("loader", ""); +// formData.append("embedding", ""); +// formData.append("vectorStore", ""); +// formData.append("recordManager", ""); +// formData.append("docStore", ""); + +async function query(formData) { + const response = await fetch( + "http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId}", + { + method: "POST", + headers: { + "Authorization": "Bearer " + }, + body: formData + } + ); + const result = await response.json(); + return result; +} + +query(formData).then((response) => { + console.log(response); +}); +\`\`\` + +\`\`\`bash +curl -X POST http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId} \\ + -H "Authorization: Bearer " \\ + -F "files=@" \\ + -F "docId=${dialogProps.loaderId}" \\ + -F "splitter={"config":{"chunkSize":20000}}" \\ + -F "metadata={}" \\ + -F "replaceExisting=true" \\ + -F "createNewDocStore=false" \\ + # Override existing configuration: + # -F "loader=" \\ + # -F "embedding=" \\ + # -F "vectorStore=" \\ + # -F "recordManager=" \\ + # -F "docStore=" +\`\`\` +` + } + + const jsonDataRequest = () => { + return `With the Upsert API, you can choose an existing document and reuse the same configuration for upserting. + +\`\`\`python +import requests + +API_URL = "http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId}" +API_KEY = "your_api_key_here" + +headers = { + "Authorization": f"Bearer {BEARER_TOKEN}" +} + +def query(payload): + response = requests.post(API_URL, json=payload, headers=headers) + return response.json() + +output = query({ + "docId": "${dialogProps.loaderId}", + "metadata": "{}", # Add additional metadata to the document chunks + "replaceExisting": True, # Replace existing document with the new upserted chunks + "createNewDocStore": False, # Create a new document store + # Override existing configuration + "loader": { + "config": { + "text": "This is a new text" + } + }, + "splitter": { + "config": { + "chunkSize": 20000 + } + }, + # embedding: {}, + # vectorStore: {}, + # recordManager: {} + # docStore: {} +}) +print(output) +\`\`\` + +\`\`\`javascript +async function query(data) { + const response = await fetch( + "http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId}", + { + method: "POST", + headers: { + "Content-Type": "application/json", + "Authorization": "Bearer " + }, + body: JSON.stringify(data) + } + ); + const result = await response.json(); + return result; +} + +query({ + "docId": "${dialogProps.loaderId}, + "metadata": "{}", // Add additional metadata to the document chunks + "replaceExisting": true, // Replace existing document with the new upserted chunks + "createNewDocStore": false, // Create a new document store + // Override existing configuration + "loader": { + "config": { + "text": "This is a new text" + } + }, + "splitter": { + "config": { + "chunkSize": 20000 + } + }, + // embedding: {}, + // vectorStore: {}, + // recordManager: {} + // docStore: {} +}).then((response) => { + console.log(response); +}); +\`\`\` + +\`\`\`bash +curl -X POST http://localhost:3000/api/v1/document-store/upsert/${dialogProps.storeId} \\ + -H "Content-Type: application/json" \\ + -H "Authorization: Bearer " \\ + -d '{ + "docId": "${dialogProps.loaderId}", + "metadata": "{}", + "replaceExisting": true, + "createNewDocStore": false, + "loader": { + "config": { + "text": "This is a new text" + } + }, + "splitter": { + "config": { + "chunkSize": 20000 + } + } + // Override existing configuration + // "embedding": {}, + // "vectorStore": {}, + // "recordManager": {} + // "docStore": {} + }' + +\`\`\` +` + } + + const groupByNodeLabel = (nodes) => { + const result = {} + const seenNodes = new Set() + let isFormDataBody = false + + nodes.forEach((item) => { + const { node, nodeId, label, name, type } = item + if (name === 'files') isFormDataBody = true + seenNodes.add(node) + + if (!result[node]) { + result[node] = { + nodeIds: [], + params: [] + } + } + + if (!result[node].nodeIds.includes(nodeId)) result[node].nodeIds.push(nodeId) + + const param = { label, name, type } + + if (!result[node].params.some((existingParam) => JSON.stringify(existingParam) === JSON.stringify(param))) { + result[node].params.push(param) + } + }) + + // Sort the nodeIds array + for (const node in result) { + result[node].nodeIds.sort() + } + setNodeConfig(result) + + if (isFormDataBody) { + setValues(formDataRequest()) + } else { + setValues(jsonDataRequest()) + } + } + + const handleAccordionChange = (nodeLabel) => (event, isExpanded) => { + const accordianNodes = { ...nodeConfigExpanded } + accordianNodes[nodeLabel] = isExpanded + setNodeConfigExpanded(accordianNodes) + } + + useEffect(() => { + if (getConfigApi.data) { + groupByNodeLabel(getConfigApi.data) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [getConfigApi.data]) + + useEffect(() => { + if (show && dialogProps) { + getConfigApi.request(dialogProps.storeId, dialogProps.loaderId) + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [show, dialogProps]) + + const portalElement = document.getElementById('portal') + + const component = show ? ( + + + {dialogProps.title} + + + + ) : ( + + {children} + + ) + } + }} + > + {values} + + + You can override existing configurations: + + + + {Object.keys(nodeConfig) + .sort() + .map((nodeLabel) => ( + + } + aria-controls={`nodes-accordian-${nodeLabel}`} + id={`nodes-accordian-header-${nodeLabel}`} + > + + {nodeLabel} + {nodeConfig[nodeLabel].nodeIds.length > 0 && + nodeConfig[nodeLabel].nodeIds.map((nodeId, index) => ( +
+ + {nodeId} + +
+ ))} + + + + { + // eslint-disable-next-line + const { node, nodeId, ...rest } = obj + return rest + })} + columns={Object.keys(nodeConfig[nodeLabel].params[0]).slice(-3)} + /> + + + ))} + + + + + ) : null + + return createPortal(component, portalElement) +} + +DocStoreAPIDialog.propTypes = { + show: PropTypes.bool, + dialogProps: PropTypes.object, + onCancel: PropTypes.func +} + +export default DocStoreAPIDialog diff --git a/packages/ui/src/views/docstore/DocStoreInputHandler.jsx b/packages/ui/src/views/docstore/DocStoreInputHandler.jsx index 38dc23c68d0..dfac20d6eb5 100644 --- a/packages/ui/src/views/docstore/DocStoreInputHandler.jsx +++ b/packages/ui/src/views/docstore/DocStoreInputHandler.jsx @@ -4,7 +4,7 @@ import { useSelector } from 'react-redux' // material-ui import { Box, Typography, IconButton, Button } from '@mui/material' -import { IconArrowsMaximize, IconAlertTriangle } from '@tabler/icons-react' +import { IconRefresh, IconArrowsMaximize, IconAlertTriangle } from '@tabler/icons-react' // project import import { Dropdown } from '@/ui-component/dropdown/Dropdown' @@ -43,6 +43,7 @@ const DocStoreInputHandler = ({ const [expandDialogProps, setExpandDialogProps] = useState({}) const [showManageScrapedLinksDialog, setShowManageScrapedLinksDialog] = useState(false) const [manageScrapedLinksDialogProps, setManageScrapedLinksDialogProps] = useState({}) + const [reloadTimestamp, setReloadTimestamp] = useState(Date.now().toString()) const onExpandDialogClicked = (value, inputParam) => { const dialogProps = { @@ -80,6 +81,14 @@ const DocStoreInputHandler = ({ data.inputs[inputParamName] = newValue } + const getCredential = () => { + const credential = data.inputs.credential || data.inputs[FLOWISE_CREDENTIAL_ID] + if (credential) { + return { credential } + } + return {} + } + return (
{inputParam && ( @@ -130,7 +139,7 @@ const DocStoreInputHandler = ({ { data.credential = newValue @@ -238,19 +247,33 @@ const DocStoreInputHandler = ({ value={data.inputs[inputParam.name] ?? inputParam.default ?? 'choose an option'} /> )} - {inputParam.type === 'asyncOptions' && ( + {(inputParam.type === 'asyncOptions' || inputParam.type === 'asyncMultiOptions') && ( <> {data.inputParams?.length === 1 &&
}
- (data.inputs[inputParam.name] = newValue)} - onCreateNew={() => addAsyncOption(inputParam.name)} - /> +
+ (data.inputs[inputParam.name] = newValue)} + onCreateNew={() => addAsyncOption(inputParam.name)} + /> +
+ {inputParam.refresh && ( + setReloadTimestamp(Date.now().toString())} + > + + + )}
)} diff --git a/packages/ui/src/views/docstore/DocumentStoreDetail.jsx b/packages/ui/src/views/docstore/DocumentStoreDetail.jsx index 3de95270755..d77fe41fd86 100644 --- a/packages/ui/src/views/docstore/DocumentStoreDetail.jsx +++ b/packages/ui/src/views/docstore/DocumentStoreDetail.jsx @@ -2,7 +2,7 @@ import { useEffect, useState } from 'react' import { useDispatch, useSelector } from 'react-redux' import * as PropTypes from 'prop-types' -import { useNavigate, usePathname } from '@/utils/navigation' +import { useNavigate, usePathname, useParams } from '@/utils/navigation' // material-ui import { @@ -36,6 +36,9 @@ import ErrorBoundary from '@/ErrorBoundary' import { StyledButton } from '@/ui-component/button/StyledButton' import ViewHeader from '@/layout/MainLayout/ViewHeader' import DeleteDocStoreDialog from './DeleteDocStoreDialog' +import DocumentStoreStatus from '@/views/docstore/DocumentStoreStatus' +import ConfirmDialog from '@/ui-component/dialog/ConfirmDialog' +import DocStoreAPIDialog from './DocStoreAPIDialog' // API import documentsApi from '@/api/documentstore' @@ -43,22 +46,19 @@ import documentsApi from '@/api/documentstore' // Hooks import useApi from '@/hooks/useApi' import useNotifier from '@/utils/useNotifier' +import { getFileName } from '@/utils/genericHelper' +import useConfirm from '@/hooks/useConfirm' // icons -import { - IconPlus, - IconRefresh, - IconListDetails, - IconTrash, - IconX, - IconVectorBezier2, - IconRowInsertTop, - IconZoomScan -} from '@tabler/icons-react' +import { IconPlus, IconRefresh, IconX, IconVectorBezier2 } from '@tabler/icons-react' import KeyboardArrowDownIcon from '@mui/icons-material/KeyboardArrowDown' import FileDeleteIcon from '@mui/icons-material/Delete' import FileEditIcon from '@mui/icons-material/Edit' import FileChunksIcon from '@mui/icons-material/AppRegistration' +import NoteAddIcon from '@mui/icons-material/NoteAdd' +import SearchIcon from '@mui/icons-material/Search' +import RefreshIcon from '@mui/icons-material/Refresh' +import CodeIcon from '@mui/icons-material/Code' import doc_store_details_emptySVG from '@/assets/images/doc_store_details_empty.svg' // store @@ -128,6 +128,7 @@ const DocumentStoreDetails = () => { const navigate = useNavigate() const dispatch = useDispatch() useNotifier() + const { confirm } = useConfirm() const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) @@ -144,10 +145,13 @@ const DocumentStoreDetails = () => { const [documentLoaderListDialogProps, setDocumentLoaderListDialogProps] = useState({}) const [showDeleteDocStoreDialog, setShowDeleteDocStoreDialog] = useState(false) const [deleteDocStoreDialogProps, setDeleteDocStoreDialogProps] = useState({}) + const [showDocStoreAPIDialog, setShowDocStoreAPIDialog] = useState(false) + const [docStoreAPIDialogProps, setDocStoreAPIDialogProps] = useState({}) + + const [anchorEl, setAnchorEl] = useState(null) + const open = Boolean(anchorEl) - const pathname = usePathname() - const URLpath = pathname.split('/') - const storeId = URLpath[URLpath.length - 1] === 'document-stores' ? '' : URLpath[URLpath.length - 1] + const { storeId } = useParams() const openPreviewSettings = (id) => { navigate('/document-stores/' + storeId + '/' + id) @@ -186,8 +190,9 @@ const DocumentStoreDetails = () => { } } - const onDocStoreDelete = async (type, loaderId, removeFromVectorStore) => { + const onDocStoreDelete = async (type, file, removeFromVectorStore) => { setBackdropLoading(true) + setShowDeleteDocStoreDialog(false) if (type === 'STORE') { if (removeFromVectorStore) { await deleteVectorStoreDataFromStore(storeId) @@ -213,9 +218,10 @@ const DocumentStoreDetails = () => { } catch (error) { setBackdropLoading(false) setError(error) - const errorData = error.response.data || `${error.response.status}: ${error.response.statusText}` enqueueSnackbar({ - message: `Failed to delete loader: ${errorData}`, + message: `Failed to delete Document Store: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, options: { key: new Date().getTime() + Math.random(), variant: 'error', @@ -250,9 +256,10 @@ const DocumentStoreDetails = () => { } catch (error) { setError(error) setBackdropLoading(false) - const errorData = error.response.data || `${error.response.status}: ${error.response.statusText}` enqueueSnackbar({ - message: `Failed to delete loader: ${errorData}`, + message: `Failed to delete Document Loader: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, options: { key: new Date().getTime() + Math.random(), variant: 'error', @@ -275,7 +282,8 @@ const DocumentStoreDetails = () => { vectorStoreConfig, recordManagerConfig, type: 'LOADER', - loaderId: file.id + loaderId: file.id, + file } setDeleteDocStoreDialogProps(props) @@ -295,6 +303,55 @@ const DocumentStoreDetails = () => { setShowDeleteDocStoreDialog(true) } + const onStoreRefresh = async (storeId) => { + const confirmPayload = { + title: `Refresh all loaders and upsert all chunks?`, + description: `This will re-process all loaders and upsert all chunks. This action might take some time.`, + confirmButtonName: 'Refresh', + cancelButtonName: 'Cancel' + } + const isConfirmed = await confirm(confirmPayload) + + if (isConfirmed) { + setAnchorEl(null) + setBackdropLoading(true) + try { + const resp = await documentsApi.refreshLoader(storeId) + if (resp.data) { + enqueueSnackbar({ + message: 'Document store refresh successfully!', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + } + setBackdropLoading(false) + } catch (error) { + setBackdropLoading(false) + enqueueSnackbar({ + message: `Failed to refresh document store: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + action: (key) => ( + + ) + } + }) + } + } + } + const onEditClicked = () => { const data = { name: documentStore.name, @@ -317,6 +374,26 @@ const DocumentStoreDetails = () => { getSpecificDocumentStore.request(storeId) } + const handleClick = (event) => { + event.preventDefault() + event.stopPropagation() + setAnchorEl(event.currentTarget) + } + + const onViewUpsertAPI = (storeId, loaderId) => { + const props = { + title: `Upsert API`, + storeId, + loaderId + } + setDocStoreAPIDialogProps(props) + setShowDocStoreAPIDialog(true) + } + + const handleClose = () => { + setAnchorEl(null) + } + useEffect(() => { getSpecificDocumentStore.request(storeId) @@ -359,85 +436,86 @@ const DocumentStoreDetails = () => { onBack={() => navigate('/document-stores')} onEdit={() => onEditClicked()} > - onStoreDelete(documentStore.vectorStoreConfig, documentStore.recordManagerConfig)} - size='small' - color='error' - title='Delete Document Store' - sx={{ mr: 2 }} - > - - + {(documentStore?.status === 'STALE' || documentStore?.status === 'UPSERTING') && ( + + + + )} } onClick={listLoaders} > Add Document Loader - {(documentStore?.status === 'STALE' || documentStore?.status === 'UPSERTING') && ( - - )} - {documentStore?.status === 'UPSERTING' && ( - - )} - {documentStore?.totalChunks > 0 && documentStore?.status !== 'UPSERTING' && ( - <> - - - - )} - {documentStore?.totalChunks > 0 && documentStore?.status === 'UPSERTED' && ( - + + showStoredChunks('all')} + disableRipple + > + + View & Edit Chunks + + showVectorStore(documentStore.id)} + disableRipple + > + + Upsert All Chunks + + showVectorStoreQuery(documentStore.id)} + disableRipple > + Retrieval Query - - )} + + onStoreRefresh(documentStore.id)} + disableRipple + title='Re-process all loaders and upsert all chunks' + > + + Refresh + + + onStoreDelete(documentStore.vectorStoreConfig, documentStore.recordManagerConfig)} + disableRipple + > + + Delete + + + {getSpecificDocumentStore.data?.whereUsed?.length > 0 && (
{ documentStore?.recordManagerConfig ) } + onChunkUpsert={() => + navigate(`/document-stores/vector/${documentStore.id}/${loader.id}`) + } + onViewUpsertAPI={() => onViewUpsertAPI(documentStore.id, loader.id)} /> ))} @@ -630,7 +712,15 @@ const DocumentStoreDetails = () => { onDelete={onDocStoreDelete} /> )} + {showDocStoreAPIDialog && ( + setShowDocStoreAPIDialog(false)} + /> + )} {isBackdropLoading && } + ) } @@ -650,6 +740,9 @@ function LoaderRow(props) { } const formatSources = (source) => { + if (source && typeof source === 'string' && source.includes('base64')) { + return getFileName(source) + } if (source && typeof source === 'string' && source.startsWith('[') && source.endsWith(']')) { return JSON.parse(source).join(', ') } @@ -711,6 +804,14 @@ function LoaderRow(props) { View & Edit Chunks + + + Upsert Chunks + + + + View API + @@ -731,6 +832,8 @@ LoaderRow.propTypes = { theme: PropTypes.any, onViewChunksClick: PropTypes.func, onEditClick: PropTypes.func, - onDeleteClick: PropTypes.func + onDeleteClick: PropTypes.func, + onChunkUpsert: PropTypes.func, + onViewUpsertAPI: PropTypes.func } export default DocumentStoreDetails diff --git a/packages/ui/src/views/docstore/DocumentStoreStatus.jsx b/packages/ui/src/views/docstore/DocumentStoreStatus.jsx index e295fb76c0f..544009559f2 100644 --- a/packages/ui/src/views/docstore/DocumentStoreStatus.jsx +++ b/packages/ui/src/views/docstore/DocumentStoreStatus.jsx @@ -10,22 +10,36 @@ const DocumentStoreStatus = ({ status, isTableView }) => { switch (status) { case 'STALE': return customization.isDarkMode - ? [theme.palette.grey[400], theme.palette.grey[600], theme.palette.grey[700]] + ? [theme.palette.grey[400], theme.palette.grey[600], theme.palette.grey[800]] : [theme.palette.grey[300], theme.palette.grey[500], theme.palette.grey[700]] case 'EMPTY': - return ['#673ab7', '#673ab7', '#673ab7'] + return customization.isDarkMode + ? ['#4a148c', '#6a1b9a', '#ffffff'] // Deep Purple + : ['#d1c4e9', '#9575cd', '#673ab7'] case 'SYNCING': + return customization.isDarkMode + ? ['#ff6f00', '#ff8f00', '#ffffff'] // Amber + : ['#fff8e1', '#ffe57f', '#ffc107'] case 'UPSERTING': - return ['#fff8e1', '#ffe57f', '#ffc107'] + return customization.isDarkMode + ? ['#01579b', '#0277bd', '#ffffff'] // Light Blue + : ['#e1f5fe', '#4fc3f7', '#0288d1'] case 'SYNC': + return customization.isDarkMode + ? ['#1b5e20', '#2e7d32', '#ffffff'] // Green + : ['#e8f5e9', '#81c784', '#43a047'] case 'UPSERTED': - return ['#cdf5d8', '#00e676', '#00c853'] + return customization.isDarkMode + ? ['#004d40', '#00695c', '#ffffff'] // Teal + : ['#e0f2f1', '#4db6ac', '#00897b'] case 'NEW': - return ['#e3f2fd', '#2196f3', '#1e88e5'] + return customization.isDarkMode + ? ['#0d47a1', '#1565c0', '#ffffff'] // Blue + : ['#e3f2fd', '#64b5f6', '#1e88e5'] default: return customization.isDarkMode ? [theme.palette.grey[300], theme.palette.grey[500], theme.palette.grey[700]] - : [theme.palette.grey[300], theme.palette.grey[500], theme.palette.grey[700]] + : [theme.palette.grey[200], theme.palette.grey[400], theme.palette.grey[600]] } } @@ -45,7 +59,8 @@ const DocumentStoreStatus = ({ status, isTableView }) => { paddingTop: '3px', paddingBottom: '3px', paddingLeft: '10px', - paddingRight: '10px' + paddingRight: '10px', + width: 'fit-content' }} >
{ const getNodesByCategoryApi = useApi(nodesApi.getNodesByCategory) const getSpecificDocumentStoreApi = useApi(documentsApi.getSpecificDocumentStore) - const pathname = usePathname() - const URLpath = pathname.split('/') - const docLoaderNodeName = URLpath[URLpath.length - 1] === 'document-stores' ? '' : URLpath[URLpath.length - 1] - const storeId = URLpath[URLpath.length - 2] === 'document-stores' ? '' : URLpath[URLpath.length - 2] + const { storeId, name: docLoaderNodeName } = useParams() const [selectedDocumentLoader, setSelectedDocumentLoader] = useState({}) const [selectedCredential, setSelectedCredential] = useState(null) const [selectedCredentialData, setSelectedCredentialData] = useState(null) const [loading, setLoading] = useState(false) const [error, setError] = useState(null) + const [loaderName, setLoaderName] = useState('') const [textSplitterNodes, setTextSplitterNodes] = useState([]) const [splitterOptions, setTextSplitterOptions] = useState([]) @@ -191,9 +189,9 @@ const LoaderConfigPreviewChunks = () => { const config = prepareConfig() config.loaderId === 'googleDrive' && (config.credential = JSON.stringify(selectedCredentialData)) try { - const processResp = await documentStoreApi.processChunks(config) + const saveResp = await documentStoreApi.saveProcessingLoader(config) setLoading(false) - if (processResp.data) { + if (saveResp.data) { enqueueSnackbar({ message: 'File submitted for processing. Redirecting to Document Store..', options: { @@ -206,6 +204,8 @@ const LoaderConfigPreviewChunks = () => { ) } }) + // don't wait for the process to complete, redirect to document store + documentStoreApi.processLoader(config, saveResp.data?.id) navigate('/document-stores/' + storeId) } } catch (error) { @@ -241,7 +241,7 @@ const LoaderConfigPreviewChunks = () => { // Set store id & loader name config.storeId = storeId - config.loaderName = selectedDocumentLoader?.label + config.loaderName = loaderName || selectedDocumentLoader?.label // Set loader config if (selectedDocumentLoader.inputs) { @@ -287,6 +287,7 @@ const LoaderConfigPreviewChunks = () => { // If this is a document store edit config, set the existing input values if (existingLoaderFromDocStoreTable && existingLoaderFromDocStoreTable.loaderConfig) { nodeData.inputs = existingLoaderFromDocStoreTable.loaderConfig + setLoaderName(existingLoaderFromDocStoreTable.loaderName) } setSelectedDocumentLoader(nodeData) @@ -457,6 +458,20 @@ const LoaderConfigPreviewChunks = () => { paddingRight: 15 }} > + + setLoaderName(e.target.value)} + /> + {selectedDocumentLoader && Object.keys(selectedDocumentLoader).length > 0 && (selectedDocumentLoader.inputParams ?? []) diff --git a/packages/ui/src/views/docstore/ShowStoredChunks.jsx b/packages/ui/src/views/docstore/ShowStoredChunks.jsx index 1b15680bc8a..d031b1104ae 100644 --- a/packages/ui/src/views/docstore/ShowStoredChunks.jsx +++ b/packages/ui/src/views/docstore/ShowStoredChunks.jsx @@ -1,7 +1,7 @@ 'use client' import { useEffect, useState } from 'react' import { useDispatch, useSelector } from 'react-redux' -import { useNavigate, usePathname } from '@/utils/navigation' +import { useNavigate, useParams } from '@/utils/navigation' import ReactJson from 'flowise-react-json-view' // material-ui @@ -61,10 +61,7 @@ const ShowStoredChunks = () => { const getChunksApi = useApi(documentsApi.getFileChunks) - const pathname = usePathname() - const URLpath = pathname.split('/') - const fileId = URLpath[URLpath.length - 1] === 'document-stores' ? '' : URLpath[URLpath.length - 1] - const storeId = URLpath[URLpath.length - 2] === 'document-stores' ? '' : URLpath[URLpath.length - 2] + const { storeId, fileId } = useParams() const [documentChunks, setDocumentChunks] = useState([]) const [totalChunks, setTotalChunks] = useState(0) @@ -356,7 +353,7 @@ const ShowStoredChunks = () => {
- {getChunksApi.data?.file?.totalChars?.toLocaleString()} characters + {getChunksApi.data?.characters?.toLocaleString()} characters
diff --git a/packages/ui/src/views/docstore/VectorStoreConfigure.jsx b/packages/ui/src/views/docstore/VectorStoreConfigure.jsx index 73f903b814f..2032da5acdc 100644 --- a/packages/ui/src/views/docstore/VectorStoreConfigure.jsx +++ b/packages/ui/src/views/docstore/VectorStoreConfigure.jsx @@ -1,7 +1,7 @@ 'use client' import { useEffect, useState } from 'react' import { useDispatch, useSelector } from 'react-redux' -import { useNavigate, usePathname } from '@/utils/navigation' +import { useNavigate, useParams } from '@/utils/navigation' import { cloneDeep } from 'lodash' import { v4 as uuidv4 } from 'uuid' import moment from 'moment/moment' @@ -51,6 +51,8 @@ const VectorStoreConfigure = () => { useNotifier() const customization = useSelector((state) => state.customization) + const { storeId, docId } = useParams() + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) @@ -214,7 +216,8 @@ const VectorStoreConfigure = () => { const prepareConfigData = () => { const data = { - storeId: storeId + storeId: storeId, + docId: docId } // Set embedding config if (selectedEmbeddingsProvider.inputs) { @@ -366,9 +369,6 @@ const VectorStoreConfigure = () => { // eslint-disable-next-line react-hooks/exhaustive-deps }, [saveVectorStoreConfigApi.error]) - const pathname = usePathname() - const URLpath = pathname.split('/') - const storeId = URLpath[URLpath.length - 1] === 'document-stores' ? '' : URLpath[URLpath.length - 1] useEffect(() => { getSpecificDocumentStoreApi.request(storeId) @@ -434,420 +434,426 @@ const VectorStoreConfigure = () => { {error ? ( ) : ( - - navigate(-1)} - > - {(Object.keys(selectedEmbeddingsProvider).length > 0 || - Object.keys(selectedVectorStoreProvider).length > 0) && ( - - )} - {(Object.keys(selectedEmbeddingsProvider).length > 0 || - Object.keys(selectedVectorStoreProvider).length > 0) && ( - - )} - {Object.keys(selectedEmbeddingsProvider).length > 0 && Object.keys(selectedVectorStoreProvider).length > 0 && ( - - )} - - - - - - - - {Object.keys(selectedEmbeddingsProvider).length === 0 ? ( - - ) : ( - - - -
- + {(Object.keys(selectedEmbeddingsProvider).length > 0 || + Object.keys(selectedVectorStoreProvider).length > 0) && ( + + )} + {(Object.keys(selectedEmbeddingsProvider).length > 0 || + Object.keys(selectedVectorStoreProvider).length > 0) && ( + + )} + {Object.keys(selectedEmbeddingsProvider).length > 0 && + Object.keys(selectedVectorStoreProvider).length > 0 && ( + + )} + + + + + + + + {Object.keys(selectedEmbeddingsProvider).length === 0 ? ( + + ) : ( + + +
- {selectedEmbeddingsProvider.label ? ( - +
- ) : ( - - )} -
- - {selectedEmbeddingsProvider.label} - -
-
- {Object.keys(selectedEmbeddingsProvider).length > 0 && ( - <> - - - - - )} + > + {selectedEmbeddingsProvider.label ? ( + {selectedEmbeddingsProvider.label + ) : ( + + )} +
+ + {selectedEmbeddingsProvider.label} + +
+
+ {Object.keys(selectedEmbeddingsProvider).length > 0 && ( + <> + + + + + )} +
+ + {selectedEmbeddingsProvider && + Object.keys(selectedEmbeddingsProvider).length > 0 && + (selectedEmbeddingsProvider.inputParams ?? []) + .filter((inputParam) => !inputParam.hidden) + .map((inputParam, index) => ( + + ))}
- - {selectedEmbeddingsProvider && - Object.keys(selectedEmbeddingsProvider).length > 0 && - (selectedEmbeddingsProvider.inputParams ?? []) - .filter((inputParam) => !inputParam.hidden) - .map((inputParam, index) => ( - - ))} -
- - - - )} - - - {Object.keys(selectedVectorStoreProvider).length === 0 ? ( - - ) : ( - - - -
- + + + + )} + + + {Object.keys(selectedVectorStoreProvider).length === 0 ? ( + + ) : ( + + +
- {selectedVectorStoreProvider.label ? ( - +
- ) : ( - - )} -
- - {selectedVectorStoreProvider.label} - -
-
- {Object.keys(selectedVectorStoreProvider).length > 0 && ( - <> - - - - - )} + > + {selectedVectorStoreProvider.label ? ( + {selectedVectorStoreProvider.label + ) : ( + + )} +
+ + {selectedVectorStoreProvider.label} + +
+
+ {Object.keys(selectedVectorStoreProvider).length > 0 && ( + <> + + + + + )} +
+ + {selectedVectorStoreProvider && + Object.keys(selectedVectorStoreProvider).length > 0 && + (selectedVectorStoreProvider.inputParams ?? []) + .filter((inputParam) => !inputParam.hidden) + .map((inputParam, index) => ( + + ))}
- - {selectedVectorStoreProvider && - Object.keys(selectedVectorStoreProvider).length > 0 && - (selectedVectorStoreProvider.inputParams ?? []) - .filter((inputParam) => !inputParam.hidden) - .map((inputParam, index) => ( - - ))} -
- - - - )} - - - {Object.keys(selectedRecordManagerProvider).length === 0 ? ( - - ) : ( - - - -
- + + + + )} + + + {Object.keys(selectedRecordManagerProvider).length === 0 ? ( + + ) : ( + + +
- {selectedRecordManagerProvider.label ? ( - +
- ) : ( - - )} -
- - {selectedRecordManagerProvider.label} - -
-
- {Object.keys(selectedRecordManagerProvider).length > 0 && ( - <> - - - - - )} + > + {selectedRecordManagerProvider.label ? ( + {selectedRecordManagerProvider.label + ) : ( + + )} +
+ + {selectedRecordManagerProvider.label} + +
+
+ {Object.keys(selectedRecordManagerProvider).length > 0 && ( + <> + + + + + )} +
+ + {selectedRecordManagerProvider && + Object.keys(selectedRecordManagerProvider).length > 0 && + (selectedRecordManagerProvider.inputParams ?? []) + .filter((inputParam) => !inputParam.hidden) + .map((inputParam, index) => ( + <> + + + ))}
- - {selectedRecordManagerProvider && - Object.keys(selectedRecordManagerProvider).length > 0 && - (selectedRecordManagerProvider.inputParams ?? []) - .filter((inputParam) => !inputParam.hidden) - .map((inputParam, index) => ( - <> - - - ))} -
- - - - )} - - - + + + + )} + + + + )} + )} diff --git a/packages/ui/src/views/docstore/VectorStoreQuery.jsx b/packages/ui/src/views/docstore/VectorStoreQuery.jsx index c98cc09cd39..ab9191404f9 100644 --- a/packages/ui/src/views/docstore/VectorStoreQuery.jsx +++ b/packages/ui/src/views/docstore/VectorStoreQuery.jsx @@ -1,7 +1,7 @@ 'use client' import { useEffect, useState, useRef } from 'react' import { useDispatch, useSelector } from 'react-redux' -import { useNavigate, usePathname } from '@/utils/navigation' +import { useNavigate, useParams } from '@/utils/navigation' import ReactJson from 'flowise-react-json-view' import { cloneDeep } from 'lodash' import { v4 as uuidv4 } from 'uuid' @@ -64,9 +64,7 @@ const VectorStoreQuery = () => { const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) - const pathname = usePathname() - const URLpath = pathname.split('/') - const storeId = URLpath[URLpath.length - 1] === 'document-stores' ? '' : URLpath[URLpath.length - 1] + const { storeId } = useParams() const [documentChunks, setDocumentChunks] = useState([]) const [loading, setLoading] = useState(false) diff --git a/packages/ui/src/views/marketplaces/MarketplaceLanding.jsx b/packages/ui/src/views/marketplaces/MarketplaceLanding.jsx index e2461893726..5fac9020642 100644 --- a/packages/ui/src/views/marketplaces/MarketplaceLanding.jsx +++ b/packages/ui/src/views/marketplaces/MarketplaceLanding.jsx @@ -212,7 +212,7 @@ const MarketplaceLanding = forwardRef(function MarketplaceLanding({ templateId, if (!user) { const redirectUrl = `/sidekick-studio/${isAgentCanvas ? 'agentcanvas' : 'canvas'}` - const loginUrl = `/api/auth/login?returnTo=${redirectUrl}` + const loginUrl = `/api/auth/login?redirect_uri=${redirectUrl}` setNavigationState(state) window.location.href = loginUrl } else { diff --git a/packages/ui/src/views/marketplaces/index.jsx b/packages/ui/src/views/marketplaces/index.jsx index ecae9749498..88249661682 100644 --- a/packages/ui/src/views/marketplaces/index.jsx +++ b/packages/ui/src/views/marketplaces/index.jsx @@ -2,7 +2,7 @@ import * as React from 'react' import { useEffect, useState } from 'react' import { useNavigate } from '@/utils/navigation' -import PropTypes from 'prop-types' +import { useDispatch } from 'react-redux' // material-ui import { @@ -20,7 +20,9 @@ import { FormControlLabel, ToggleButtonGroup, MenuItem, - Button + Button, + Tabs, + Tab } from '@mui/material' import { useTheme } from '@mui/material/styles' import { IconLayoutGrid, IconList, IconX } from '@tabler/icons-react' @@ -33,37 +35,21 @@ import ToolDialog from '@/views/tools/ToolDialog' import { MarketplaceTable } from '@/ui-component/table/MarketplaceTable' import ViewHeader from '@/layout/MainLayout/ViewHeader' import ErrorBoundary from '@/ErrorBoundary' +import { TabPanel } from '@/ui-component/tabs/TabPanel' +import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction } from '@/store/actions' +import ConfirmDialog from '@/ui-component/dialog/ConfirmDialog' // API import marketplacesApi from '@/api/marketplaces' // Hooks import useApi from '@/hooks/useApi' +import useConfirm from '@/hooks/useConfirm' // const import { baseURL } from '@/store/constant' import { gridSpacing } from '@/store/constant' - -function TabPanel(props) { - const { children, value, index, ...other } = props - return ( - - ) -} - -TabPanel.propTypes = { - children: PropTypes.node, - index: PropTypes.number.isRequired, - value: PropTypes.number.isRequired -} +import useNotifier from '@/utils/useNotifier' const badges = ['POPULAR', 'NEW'] const types = ['Chatflow', 'Agentflow', 'Tool'] @@ -84,6 +70,8 @@ const SelectStyles = { const Marketplace = () => { const navigate = useNavigate() + const dispatch = useDispatch() + useNotifier() const theme = useTheme() @@ -105,8 +93,26 @@ const Marketplace = () => { const [typeFilter, setTypeFilter] = useState([]) const [frameworkFilter, setFrameworkFilter] = useState([]) + const getAllCustomTemplatesApi = useApi(marketplacesApi.getAllCustomTemplates) + const [activeTabValue, setActiveTabValue] = useState(0) + const [templateImages, setTemplateImages] = useState({}) + const [templateUsecases, setTemplateUsecases] = useState([]) + const [eligibleTemplateUsecases, setEligibleTemplateUsecases] = useState([]) + const [selectedTemplateUsecases, setSelectedTemplateUsecases] = useState([]) + const enqueueSnackbar = (...args) => dispatch(enqueueSnackbarAction(...args)) + const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) + const { confirm } = useConfirm() + + const handleTabChange = (event, newValue) => { + if (newValue === 1 && !getAllCustomTemplatesApi.data) { + getAllCustomTemplatesApi.request() + } + setActiveTabValue(newValue) + } + const clearAllUsecases = () => { - setSelectedUsecases([]) + if (activeTabValue === 0) setSelectedUsecases([]) + else setSelectedTemplateUsecases([]) } const handleBadgeFilterChange = (event) => { @@ -117,7 +123,13 @@ const Marketplace = () => { // On autofill we get a stringified value. typeof value === 'string' ? value.split(',') : value ) - getEligibleUsecases({ typeFilter, badgeFilter: typeof value === 'string' ? value.split(',') : value, frameworkFilter, search }) + const data = activeTabValue === 0 ? getAllTemplatesMarketplacesApi.data : getAllCustomTemplatesApi.data + getEligibleUsecases(data, { + typeFilter, + badgeFilter: typeof value === 'string' ? value.split(',') : value, + frameworkFilter, + search + }) } const handleTypeFilterChange = (event) => { @@ -128,7 +140,13 @@ const Marketplace = () => { // On autofill we get a stringified value. typeof value === 'string' ? value.split(',') : value ) - getEligibleUsecases({ typeFilter: typeof value === 'string' ? value.split(',') : value, badgeFilter, frameworkFilter, search }) + const data = activeTabValue === 0 ? getAllTemplatesMarketplacesApi.data : getAllCustomTemplatesApi.data + getEligibleUsecases(data, { + typeFilter: typeof value === 'string' ? value.split(',') : value, + badgeFilter, + frameworkFilter, + search + }) } const handleFrameworkFilterChange = (event) => { @@ -139,7 +157,13 @@ const Marketplace = () => { // On autofill we get a stringified value. typeof value === 'string' ? value.split(',') : value ) - getEligibleUsecases({ typeFilter, badgeFilter, frameworkFilter: typeof value === 'string' ? value.split(',') : value, search }) + const data = activeTabValue === 0 ? getAllTemplatesMarketplacesApi.data : getAllCustomTemplatesApi.data + getEligibleUsecases(data, { + typeFilter, + badgeFilter, + frameworkFilter: typeof value === 'string' ? value.split(',') : value, + search + }) } const handleViewChange = (event, nextView) => { @@ -150,7 +174,56 @@ const Marketplace = () => { const onSearchChange = (event) => { setSearch(event.target.value) - getEligibleUsecases({ typeFilter, badgeFilter, frameworkFilter, search: event.target.value }) + const data = activeTabValue === 0 ? getAllTemplatesMarketplacesApi.data : getAllCustomTemplatesApi.data + + getEligibleUsecases(data, { typeFilter, badgeFilter, frameworkFilter, search: event.target.value }) + } + + const onDeleteCustomTemplate = async (template) => { + const confirmPayload = { + title: `Delete`, + description: `Delete Custom Template ${template.name}?`, + confirmButtonName: 'Delete', + cancelButtonName: 'Cancel' + } + const isConfirmed = await confirm(confirmPayload) + + if (isConfirmed) { + try { + const deleteResp = await marketplacesApi.deleteCustomTemplate(template.id) + if (deleteResp.data) { + enqueueSnackbar({ + message: 'Custom Template deleted successfully!', + options: { + key: new Date().getTime() + Math.random(), + variant: 'success', + action: (key) => ( + + ) + } + }) + getAllCustomTemplatesApi.request() + } + } catch (error) { + enqueueSnackbar({ + message: `Failed to delete custom template: ${ + typeof error.response.data === 'object' ? error.response.data.message : error.response.data + }`, + options: { + key: new Date().getTime() + Math.random(), + variant: 'error', + persist: true, + action: (key) => ( + + ) + } + }) + } + } } function filterFlows(data) { @@ -174,13 +247,18 @@ const Marketplace = () => { } function filterByUsecases(data) { - return selectedUsecases.length > 0 ? (data.usecases || []).some((item) => selectedUsecases.includes(item)) : true + if (activeTabValue === 0) + return selectedUsecases.length > 0 ? (data.usecases || []).some((item) => selectedUsecases.includes(item)) : true + else + return selectedTemplateUsecases.length > 0 + ? (data.usecases || []).some((item) => selectedTemplateUsecases.includes(item)) + : true } - const getEligibleUsecases = (filter) => { - if (!getAllTemplatesMarketplacesApi.data) return + const getEligibleUsecases = (data, filter) => { + if (!data) return - let filteredData = getAllTemplatesMarketplacesApi.data + let filteredData = data if (filter.badgeFilter.length > 0) filteredData = filteredData.filter((data) => filter.badgeFilter.includes(data.badge)) if (filter.typeFilter.length > 0) filteredData = filteredData.filter((data) => filter.typeFilter.includes(data.type)) if (filter.frameworkFilter.length > 0) @@ -200,7 +278,8 @@ const Marketplace = () => { usecases.push(...filteredData[i].usecases) } } - setEligibleUsecases(Array.from(new Set(usecases)).sort()) + if (activeTabValue === 0) setEligibleUsecases(Array.from(new Set(usecases)).sort()) + else setEligibleTemplateUsecases(Array.from(new Set(usecases)).sort()) } const onUseTemplate = (selectedTool) => { @@ -275,13 +354,57 @@ const Marketplace = () => { } }, [getAllTemplatesMarketplacesApi.error]) + useEffect(() => { + setLoading(getAllCustomTemplatesApi.loading) + }, [getAllCustomTemplatesApi.loading]) + + useEffect(() => { + if (getAllCustomTemplatesApi.data) { + try { + const flows = getAllCustomTemplatesApi.data + const usecases = [] + const tImages = {} + for (let i = 0; i < flows.length; i += 1) { + if (flows[i].flowData) { + const flowDataStr = flows[i].flowData + const flowData = JSON.parse(flowDataStr) + usecases.push(...flows[i].usecases) + if (flows[i].framework) { + flows[i].framework = [flows[i].framework] || [] + } + const nodes = flowData.nodes || [] + tImages[flows[i].id] = [] + for (let j = 0; j < nodes.length; j += 1) { + const imageSrc = `${baseURL}/api/v1/node-icon/${nodes[j].data.name}` + if (!tImages[flows[i].id].includes(imageSrc)) { + tImages[flows[i].id].push(imageSrc) + } + } + } + } + setTemplateImages(tImages) + setTemplateUsecases(Array.from(new Set(usecases)).sort()) + setEligibleTemplateUsecases(Array.from(new Set(usecases)).sort()) + } catch (e) { + console.error(e) + } + } + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [getAllCustomTemplatesApi.data]) + + useEffect(() => { + if (getAllCustomTemplatesApi.error) { + setError(getAllCustomTemplatesApi.error) + } + }, [getAllCustomTemplatesApi.error]) + return ( <> {error ? ( ) : ( - + @@ -433,119 +556,253 @@ const Marketplace = () => { - - {usecases.map((usecase, index) => ( - { - setSelectedUsecases( - event.target.checked - ? [...selectedUsecases, usecase] - : selectedUsecases.filter((item) => item !== usecase) - ) - }} - /> - } - label={usecase} + + + + + + + {usecases.map((usecase, index) => ( + { + setSelectedUsecases( + event.target.checked + ? [...selectedUsecases, usecase] + : selectedUsecases.filter((item) => item !== usecase) + ) + }} + /> + } + label={usecase} + /> + ))} + + {selectedUsecases.length > 0 && ( + + )} + + {!view || view === 'card' ? ( + <> + {isLoading ? ( + + + + + + ) : ( + + {getAllTemplatesMarketplacesApi.data + ?.filter(filterByBadge) + .filter(filterByType) + .filter(filterFlows) + .filter(filterByFramework) + .filter(filterByUsecases) + .map((data, index) => ( + + {data.badge && ( + + {(data.type === 'Chatflow' || data.type === 'Agentflow') && ( + goToCanvas(data)} + data={data} + images={images[data.id]} + /> + )} + {data.type === 'Tool' && ( + goToTool(data)} /> + )} + + )} + {!data.badge && (data.type === 'Chatflow' || data.type === 'Agentflow') && ( + goToCanvas(data)} + data={data} + images={images[data.id]} + /> + )} + {!data.badge && data.type === 'Tool' && ( + goToTool(data)} /> + )} + + ))} + + )} + + ) : ( + - ))} - - {selectedUsecases.length > 0 && ( - - )} - {!view || view === 'card' ? ( - <> - {isLoading ? ( - - - - - - ) : ( - - {getAllTemplatesMarketplacesApi.data - ?.filter(filterByBadge) - .filter(filterByType) - .filter(filterFlows) - .filter(filterByFramework) - .filter(filterByUsecases) - .map((data, index) => ( - - {data.badge && ( - - {(data.type === 'Chatflow' || data.type === 'Agentflow') && ( - goToCanvas(data)} - data={data} - images={images[data.id]} - /> - )} - {data.type === 'Tool' && ( - goToTool(data)} /> - )} - - )} - {!data.badge && (data.type === 'Chatflow' || data.type === 'Agentflow') && ( - goToCanvas(data)} data={data} images={images[data.id]} /> - )} - {!data.badge && data.type === 'Tool' && ( - goToTool(data)} /> - )} - - ))} + )} + + {!isLoading && (!getAllTemplatesMarketplacesApi.data || getAllTemplatesMarketplacesApi.data.length === 0) && ( + + + WorkflowEmptySVG - )} - - ) : ( - - )} - - {!isLoading && (!getAllTemplatesMarketplacesApi.data || getAllTemplatesMarketplacesApi.data.length === 0) && ( - - - WorkflowEmptySVGNo Marketplace Yet
+ + )} + + + + {templateUsecases.map((usecase, index) => ( + { + setSelectedTemplateUsecases( + event.target.checked + ? [...selectedTemplateUsecases, usecase] + : selectedTemplateUsecases.filter((item) => item !== usecase) + ) + }} + /> + } + label={usecase} /> - -
No Marketplace Yet
+ ))} - )} + {selectedTemplateUsecases.length > 0 && ( + + )} + {!view || view === 'card' ? ( + <> + {isLoading ? ( + + + + + + ) : ( + + {getAllCustomTemplatesApi.data + ?.filter(filterByBadge) + .filter(filterByType) + .filter(filterFlows) + .filter(filterByFramework) + .filter(filterByUsecases) + .map((data, index) => ( + + {data.badge && ( + + {(data.type === 'Chatflow' || data.type === 'Agentflow') && ( + goToCanvas(data)} + data={data} + images={templateImages[data.id]} + /> + )} + {data.type === 'Tool' && ( + goToTool(data)} /> + )} + + )} + {!data.badge && (data.type === 'Chatflow' || data.type === 'Agentflow') && ( + goToCanvas(data)} + data={data} + images={templateImages[data.id]} + /> + )} + {!data.badge && data.type === 'Tool' && ( + goToTool(data)} /> + )} + + ))} + + )} + + ) : ( + + )} + {!isLoading && (!getAllCustomTemplatesApi.data || getAllCustomTemplatesApi.data.length === 0) && ( + + + WorkflowEmptySVG + +
No Saved Custom Templates
+ + )} + )} @@ -556,6 +813,7 @@ const Marketplace = () => { onConfirm={() => setShowToolDialog(false)} onUseTemplate={(tool) => onUseTemplate(tool)} > + ) } diff --git a/packages/ui/src/views/settings/index.jsx b/packages/ui/src/views/settings/index.jsx index 549b82e125a..aeb1274ba72 100644 --- a/packages/ui/src/views/settings/index.jsx +++ b/packages/ui/src/views/settings/index.jsx @@ -16,10 +16,11 @@ import MainCard from '@/ui-component/cards/MainCard' import Transitions from '@/ui-component/extended/Transitions' import settings from '@/menu-items/settings' import agentsettings from '@/menu-items/agentsettings' +import customAssistantSettings from '@/menu-items/customassistant' // ==============================|| SETTINGS ||============================== // -const Settings = ({ chatflow, isSettingsOpen, anchorEl, isAgentCanvas, onSettingsItemClick, onUploadFile, onClose }) => { +const Settings = ({ chatflow, isSettingsOpen, isCustomAssistant, anchorEl, isAgentCanvas, onSettingsItemClick, onUploadFile, onClose }) => { const theme = useTheme() const [settingsMenu, setSettingsMenu] = useState([]) const customization = useSelector((state) => state.customization) @@ -48,11 +49,15 @@ const Settings = ({ chatflow, isSettingsOpen, anchorEl, isAgentCanvas, onSetting const settingsMenu = menus.children.filter((menu) => menu.id === 'loadChatflow') setSettingsMenu(settingsMenu) } else if (chatflow && chatflow.id) { - const menus = isAgentCanvas ? agentsettings : settings - const settingsMenu = menus.children - setSettingsMenu(settingsMenu) + if (isCustomAssistant) { + const menus = customAssistantSettings + setSettingsMenu(menus.children) + } else { + const menus = isAgentCanvas ? agentsettings : settings + setSettingsMenu(menus.children) + } } - }, [chatflow, isAgentCanvas]) + }, [chatflow, isAgentCanvas, isCustomAssistant]) useEffect(() => { setOpen(isSettingsOpen) @@ -148,6 +153,7 @@ const Settings = ({ chatflow, isSettingsOpen, anchorEl, isAgentCanvas, onSetting Settings.propTypes = { chatflow: PropTypes.object, isSettingsOpen: PropTypes.bool, + isCustomAssistant: PropTypes.bool, anchorEl: PropTypes.any, onSettingsItemClick: PropTypes.func, onUploadFile: PropTypes.func, diff --git a/packages/ui/src/views/tools/PasteJSONDialog.jsx b/packages/ui/src/views/tools/PasteJSONDialog.jsx new file mode 100644 index 00000000000..02778aa1cdf --- /dev/null +++ b/packages/ui/src/views/tools/PasteJSONDialog.jsx @@ -0,0 +1,87 @@ +import { createPortal } from 'react-dom' +import PropTypes from 'prop-types' +import { useState } from 'react' +import { Box, Button, Dialog, DialogActions, DialogContent, DialogTitle } from '@mui/material' +import { StyledButton } from '@/ui-component/button/StyledButton' +import { CodeEditor } from '@/ui-component/editor/CodeEditor' + +const PasteJSONDialog = ({ show, onCancel, onConfirm, customization }) => { + const portalElement = document.getElementById('portal') + const [jsonInput, setJsonInput] = useState('') + const [error, setError] = useState('') + + const handleConfirm = () => { + try { + const parsedJSON = JSON.parse(jsonInput) + if (!Array.isArray(parsedJSON)) throw new Error('Input must be an array of properties') + const formattedData = parsedJSON.map((item, index) => ({ + id: index + 1, + property: item.property || '', + type: item.type || 'string', + description: item.description || '', + required: item.required || false + })) + onConfirm(formattedData) + setError('') + } catch (err) { + setError('Invalid JSON format. Please check your input.') + } + } + + const exampleJSON = `[ + { + "property": "name", + "type": "string", + "description": "User's name", + "required": true + }, + { + "property": "age", + "type": "number", + "description": "User's age", + "required": false + } +]` + + const component = show ? ( + + + Paste JSON Schema + + + + + { + setJsonInput(code) + setError('') + }} + /> + {error && {error}} + + + + + + Confirm + + + + ) : null + + return createPortal(component, portalElement) +} + +PasteJSONDialog.propTypes = { + show: PropTypes.bool, + onCancel: PropTypes.func, + onConfirm: PropTypes.func, + customization: PropTypes.object +} + +export default PasteJSONDialog diff --git a/packages/ui/src/views/tools/ToolDialog.jsx b/packages/ui/src/views/tools/ToolDialog.jsx index e999144eca3..9c49a5688ff 100644 --- a/packages/ui/src/views/tools/ToolDialog.jsx +++ b/packages/ui/src/views/tools/ToolDialog.jsx @@ -29,9 +29,10 @@ import DeleteIcon from '@mui/icons-material/Delete' import ConfirmDialog from '@/ui-component/dialog/ConfirmDialog' import { CodeEditor } from '@/ui-component/editor/CodeEditor' import HowToUseFunctionDialog from './HowToUseFunctionDialog' +import PasteJSONDialog from './PasteJSONDialog' // Icons -import { IconX, IconFileDownload, IconPlus } from '@tabler/icons-react' +import { IconX, IconFileDownload, IconPlus, IconTemplate, IconCode } from '@tabler/icons-react' // API import toolsApi from '@/api/tools' @@ -44,6 +45,7 @@ import useApi from '@/hooks/useApi' import useNotifier from '@/utils/useNotifier' import { generateRandomGradient, formatDataGridRows } from '@/utils/genericHelper' import { HIDE_CANVAS_DIALOG, SHOW_CANVAS_DIALOG } from '@/store/actions' +import ExportAsTemplateDialog from '@/ui-component/dialog/ExportAsTemplateDialog' import { useFlags } from 'flagsmith/react' const exampleAPIFunc = `/* @@ -100,6 +102,11 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm, set const flags = useFlags(['org:manage']) + const [exportAsTemplateDialogOpen, setExportAsTemplateDialogOpen] = useState(false) + const [exportAsTemplateDialogProps, setExportAsTemplateDialogProps] = useState({}) + + const [showPasteJSONDialog, setShowPasteJSONDialog] = useState(false) + const deleteItem = useCallback( (id) => () => { setTimeout(() => { @@ -126,6 +133,20 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm, set }) } + const onSaveAsTemplate = () => { + setExportAsTemplateDialogProps({ + title: 'Export As Template', + tool: { + name: toolName, + description: toolDesc, + iconSrc: toolIcon, + schema: toolSchema, + func: toolFunc + } + }) + setExportAsTemplateDialogOpen(true) + } + const onRowUpdate = (newRow) => { setTimeout(() => { setToolSchema((prevRows) => { @@ -247,7 +268,9 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm, set delete toolData.createdDate delete toolData.updatedDate let dataStr = JSON.stringify(toolData, null, 2) - let dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + //let dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr) + const blob = new Blob([dataStr], { type: 'application/json' }) + const dataUri = URL.createObjectURL(blob) let exportFileDefaultName = `${toolName}-CustomTool.json` @@ -423,6 +446,10 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm, set }, [visibility] ) + const handlePastedJSON = (formattedData) => { + setToolSchema(formattedData) + setShowPasteJSONDialog(false) + } const component = show ? ( {dialogProps.title} - {dialogProps.type === 'EDIT' && ( - - )} + + {dialogProps.type === 'EDIT' && ( + <> + + + + )} + @@ -536,9 +576,21 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm, set - - Input Schema - + + + Input Schema + + + {dialogProps.type !== 'TEMPLATE' && ( + + + + + )} {dialogProps.type !== 'TEMPLATE' && ( ) : null diff --git a/packages/ui/src/views/tools/index.jsx b/packages/ui/src/views/tools/index.jsx index 1d1f96d66cf..ba270e216eb 100644 --- a/packages/ui/src/views/tools/index.jsx +++ b/packages/ui/src/views/tools/index.jsx @@ -1,7 +1,7 @@ 'use client' import PropTypes from 'prop-types' import { useEffect, useState, useRef, useMemo } from 'react' -import { Box, Stack, Tabs, Tab, FormControl, InputLabel, Select, MenuItem, Button } from '@mui/material' +import { Box, Stack, Tabs, Tab, FormControl, InputLabel, Select, MenuItem, Button, Skeleton } from '@mui/material' import MainCard from '@/ui-component/cards/MainCard' import ToolDialog from './ToolDialog' import ViewHeader from '@/layout/MainLayout/ViewHeader' @@ -20,6 +20,12 @@ import useApi from '@/hooks/useApi' // icons import { IconPlus, IconFileUpload } from '@tabler/icons-react' +// project imports +import ItemCard from '@/ui-component/cards/ItemCard' +import { gridSpacing } from '@/store/constant' +import ToolEmptySVG from '@/assets/images/tools_empty.svg' +import { ToolsTable } from '@/ui-component/table/ToolsListTable' + function TabPanel(props) { const { children, value, index, ...other } = props return ( @@ -48,6 +54,7 @@ const Tools = () => { const [marketplaceTools, setMarketplaceTools] = useState([]) const [organizationTools, setOrganizationTools] = useState([]) const flags = useFlags(['org:manage']) + const [view, setView] = useState(typeof window !== 'undefined' ? localStorage.getItem('toolsDisplayStyle') || 'card' : 'card') const inputRef = useRef(null) @@ -81,7 +88,11 @@ const Tools = () => { console.error(e) } } - + const handleChange = (event, nextView) => { + if (nextView === null) return + localStorage.setItem('toolsDisplayStyle', nextView) + setView(nextView) + } const handleFileUpload = (e) => { if (!e.target.files) return @@ -136,6 +147,11 @@ const Tools = () => { getAllToolsApi.request() } + function filterTools(data) { + return ( + data.name.toLowerCase().indexOf(search.toLowerCase()) > -1 || data.description.toLowerCase().indexOf(search.toLowerCase()) > -1 + ) + } const onUseTemplate = (selectedTool) => { const dialogProp = { title: 'Add New Tool', @@ -147,7 +163,6 @@ const Tools = () => { setDialogProps(dialogProp) setShowDialog(true) } - useEffect(() => { getAllToolsApi.request() getMarketplaceToolsApi.request() @@ -186,36 +201,36 @@ const Tools = () => { } }, [getAllToolsApi.data]) - const filterTools = (tools, search, categoryFilter) => { - const searchRegex = new RegExp(search, 'i') // 'i' flag for case-insensitive search - - return tools.filter((tool) => { - if (!tool) return false - - // Check category first - const category = tool.category || '' - if (categoryFilter !== 'All' && !category.includes(categoryFilter)) { - return false - } - - // If category matches, then check search - const name = tool.name || tool.templateName || '' - const description = tool.description || '' - const searchText = `${name} ${description}` - - return searchRegex.test(searchText) - }) - } - - const filteredMyTools = useMemo(() => filterTools(myTools, search, categoryFilter), [myTools, search, categoryFilter]) - const filteredMarketplaceTools = useMemo( - () => filterTools(marketplaceTools, search, categoryFilter), - [marketplaceTools, search, categoryFilter] - ) - const filteredOrganizationTools = useMemo( - () => filterTools(organizationTools, search, categoryFilter), - [organizationTools, search, categoryFilter] - ) + // const filterTools = (tools, search, categoryFilter) => { + // const searchRegex = new RegExp(search, 'i') // 'i' flag for case-insensitive search + + // return tools.filter((tool) => { + // if (!tool) return false + + // // Check category first + // const category = tool.category || '' + // if (categoryFilter !== 'All' && !category.includes(categoryFilter)) { + // return false + // } + + // // If category matches, then check search + // const name = tool.name || tool.templateName || '' + // const description = tool.description || '' + // const searchText = `${name} ${description}` + + // return searchRegex.test(searchText) + // }) + // } + + // const filteredMyTools = useMemo(() => filterTools(myTools, search, categoryFilter), [myTools, search, categoryFilter]) + // const filteredMarketplaceTools = useMemo( + // () => filterTools(marketplaceTools, search, categoryFilter), + // [marketplaceTools, search, categoryFilter] + // ) + // const filteredOrganizationTools = useMemo( + // () => filterTools(organizationTools, search, categoryFilter), + // [organizationTools, search, categoryFilter] + // ) const isAdmin = flags?.['org:manage']?.enabled @@ -226,34 +241,8 @@ const Tools = () => { ) : ( - - - Category - - - { Create - - - - - - - - - - - - - - - - (isAdmin ? edit(tool) : goToTool(tool))} - /> - + {!view || view === 'card' ? ( + <> + {isLoading ? ( + + + + + + ) : ( + + {getAllToolsApi.data && + getAllToolsApi.data + ?.filter(filterTools) + .map((data, index) => edit(data)} />)} + + )} + + ) : ( + + )} + {!isLoading && (!getAllToolsApi.data || getAllToolsApi.data.length === 0) && ( + + + ToolEmptySVG + +
No Tools Created Yet
+ + )} )} diff --git a/packages/ui/src/views/vectorstore/UpsertHistoryDialog.jsx b/packages/ui/src/views/vectorstore/UpsertHistoryDialog.jsx index b032fbe6ad1..025e0b6a1eb 100644 --- a/packages/ui/src/views/vectorstore/UpsertHistoryDialog.jsx +++ b/packages/ui/src/views/vectorstore/UpsertHistoryDialog.jsx @@ -197,7 +197,7 @@ const UpsertHistoryDialog = ({ show, dialogProps, onCancel }) => { const closeSnackbar = (...args) => dispatch(closeSnackbarAction(...args)) const [chatflowUpsertHistory, setChatflowUpsertHistory] = useState([]) - const [startDate, setStartDate] = useState(new Date().setMonth(new Date().getMonth() - 1)) + const [startDate, setStartDate] = useState(new Date(new Date().setMonth(new Date().getMonth() - 1))) const [endDate, setEndDate] = useState(new Date()) const [selected, setSelected] = useState([]) @@ -211,17 +211,21 @@ const UpsertHistoryDialog = ({ show, dialogProps, onCancel }) => { } const onStartDateSelected = (date) => { - setStartDate(date) + const updatedDate = new Date(date) + updatedDate.setHours(0, 0, 0, 0) + setStartDate(updatedDate) getUpsertHistoryApi.request(dialogProps.chatflow.id, { - startDate: date, + startDate: updatedDate, endDate: endDate }) } const onEndDateSelected = (date) => { - setEndDate(date) + const updatedDate = new Date(date) + updatedDate.setHours(23, 59, 59, 999) + setEndDate(updatedDate) getUpsertHistoryApi.request(dialogProps.chatflow.id, { - endDate: date, + endDate: updatedDate, startDate: startDate }) } @@ -293,7 +297,7 @@ const UpsertHistoryDialog = ({ show, dialogProps, onCancel }) => { return () => { setChatflowUpsertHistory([]) - setStartDate(new Date().setMonth(new Date().getMonth() - 1)) + setStartDate(new Date(new Date().setMonth(new Date().getMonth() - 1))) setEndDate(new Date()) } diff --git a/packages/ui/src/views/vectorstore/VectorStoreDialog.jsx b/packages/ui/src/views/vectorstore/VectorStoreDialog.jsx index 1edc9af2e41..13b219f67be 100644 --- a/packages/ui/src/views/vectorstore/VectorStoreDialog.jsx +++ b/packages/ui/src/views/vectorstore/VectorStoreDialog.jsx @@ -23,7 +23,7 @@ import { CheckboxInput } from '@/ui-component/checkbox/Checkbox' import { BackdropLoader } from '@/ui-component/loading/BackdropLoader' import { TableViewOnly } from '@/ui-component/table/Table' -import { IconX, IconBulb } from '@tabler/icons-react' +import { IconX, IconBulb, IconExclamationCircle } from '@tabler/icons-react' import ExpandMoreIcon from '@mui/icons-material/ExpandMore' import pythonSVG from '@/assets/images/python.svg' import javascriptSVG from '@/assets/images/javascript.svg' @@ -545,6 +545,47 @@ formData.append("openAIApiKey[openAIEmbeddings_0]", "sk-my-openai-2nd-key")` showLineNumbers={false} wrapLines /> +
+
+ + + { + 'For security reason, override config is disabled by default. You can change this by going into Chatflow Configuration -> Security tab, and enable the property you want to override.' + } +  Refer{' '} + + here + {' '} + for more details + +
+
{ const serverPort = parseInt(serverEnv?.['PORT'] ?? 3000) if (!Number.isNaN(serverPort) && serverPort > 0 && serverPort < 65535) { proxy = { - '/api': { - target: `http://${serverHost}:${serverPort}`, - changeOrigin: true - }, - '/socket.io': { + '^/api(/|$).*': { target: `http://${serverHost}:${serverPort}`, changeOrigin: true } diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index ccf7310c4f2..3bf1c73d594 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -1,50142 +1,52269 @@ lockfileVersion: '9.0' settings: - autoInstallPeers: true - excludeLinksFromLockfile: false + autoInstallPeers: true + excludeLinksFromLockfile: false overrides: - '@qdrant/openapi-typescript-fetch': 1.2.6 - '@google/generative-ai': ^0.15.0 - openai: 4.51.0 - '@langchain/core': 0.2.18 + '@google/generative-ai': ^0.22.0 + '@grpc/grpc-js': ^1.10.10 + '@langchain/core': 0.3.37 + '@qdrant/openapi-typescript-fetch': 1.2.6 + openai: 4.82.0 + protobufjs: 7.4.0 + axios: 1.7.9 + body-parser: 2.0.2 + braces: 3.0.3 + cross-spawn: 7.0.6 + glob-parent: 6.0.2 + http-proxy-middleware: 3.0.3 + json5: 2.2.3 + nth-check: 2.1.1 + path-to-regexp: 0.1.12 + prismjs: 1.29.0 + semver: 7.7.1 + set-value: 4.1.0 + unset-value: 2.0.1 + webpack-dev-middleware: 7.4.2 importers: - .: - dependencies: - wait-on: - specifier: ^7.0.1 - version: 7.2.0(debug@4.3.4) - devDependencies: - '@babel/preset-env': - specifier: ^7.19.4 - version: 7.24.0(@babel/core@7.24.0) - '@babel/preset-typescript': - specifier: 7.18.6 - version: 7.18.6(@babel/core@7.24.0) - '@cypress/react18': - specifier: ^2.0.0 - version: 2.0.1(@types/react-dom@18.2.21)(@types/react@18.2.65)(cypress@12.17.4)(react-dom@18.2.0(react@18.2.0))(react@18.2.0) - '@types/express': - specifier: ^4.17.13 - version: 4.17.21 - '@typescript-eslint/typescript-estree': - specifier: ^7.13.1 - version: 7.13.1(typescript@5.5.2) - cypress: - specifier: ^12.17.1 - version: 12.17.4 - dotenv-cli: - specifier: latest - version: 7.4.2 - eslint: - specifier: ^8.24.0 - version: 8.57.0 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dependencies: + zod: 3.22.4 + + zod-to-json-schema@3.24.3(zod@3.24.2): + dependencies: + zod: 3.24.2 + + zod-validation-error@3.3.0(zod@3.22.4): + dependencies: + zod: 3.22.4 + + zod@3.22.4: {} + + zod@3.24.2: {} + + zustand@4.5.2(@types/react@18.2.65)(immer@9.0.21)(react@18.2.0): + dependencies: + use-sync-external-store: 1.2.0(react@18.2.0) + optionalDependencies: + '@types/react': 18.2.65 + immer: 9.0.21 + react: 18.2.0 + + zwitch@1.0.5: {} + + zwitch@2.0.4: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml index a56c46910ae..3c47c29cd38 100644 --- a/pnpm-workspace.yaml +++ b/pnpm-workspace.yaml @@ -8,3 +8,4 @@ packages: - 'packages/embed' - 'packages/embed-react' - 'packages/docs' + - 'packages/api-documentation' diff --git a/turbo.json b/turbo.json index b3c56f19355..0e78d6cfce5 100644 --- a/turbo.json +++ b/turbo.json @@ -17,6 +17,7 @@ "AWS_S3_BUCKET", "AWS_S3_REGION", "AWS_SECRET_ACCESS_KEY", + "CHATFLOW_DOMAIN_OVERRIDE", "DATABASE_PORT", "DATABASE_URL", "DATABASE_URL", @@ -48,6 +49,7 @@ "NEXT_PUBLIC_GOOGLE_DEVELOPER_KEY", "NEXT_PUBLIC_GOOGLE_CLIENT_ID" ], + "pipeline": { "//#dev-docker": { "cache": false @@ -64,6 +66,11 @@ "//#db:studio": { "cache": false }, + "flowise-components:build": { + "cache": false, + "dependsOn": ["^build"], + "outputs": ["dist/**", "build/**", ".next/**"] + }, "build": { "dependsOn": ["^build"], "outputs": ["dist/**", "build/**", ".next/**"], @@ -86,7 +93,6 @@ "outputs": ["dist/**"] }, "db#build": { - "dependsOn": [], "outputs": ["dist/**", "generated/**"], "outputMode": "new-only"