PaLM API LLM component

packages/components/credentials/GoogleMakerSuite.credential.ts

@@ -0,0 +1,26 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class GoogleMakerSuite implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Google MakerSuite'
+        this.name = 'googleMakerSuite'
+        this.version = 1.0
+        this.description =
+            'Use the <a target="_blank" href="https://makersuite.google.com/app/apikey">Google MakerSuite API credential site</a> to get this key.'
+        this.inputs = [
+            {
+                label: 'MakerSuite API Key',
+                name: 'googleMakerSuiteKey',
+                type: 'password'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: GoogleMakerSuite }

packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts

@@ -0,0 +1,158 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { GooglePaLM, GooglePaLMTextInput } from 'langchain/llms/googlepalm'
+
+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 = 1.0
+        this.type = 'GooglePaLM'
+        this.icon = 'Google_PaLM_Logo.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: 'Model Name',
+                name: 'modelName',
+                type: 'options',
+                options: [
+                    {
+                        label: 'models/text-bison-001',
+                        name: 'models/text-bison-001'
+                    }
+                ],
+                default: 'models/text-bison-001',
+                optional: true
+            },
+            {
+                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
+            } 
+            */
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        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 credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData)
+
+        const obj: Partial<GooglePaLMTextInput> = {
+            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)
+
+        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 }

packages/components/package.json

@@ -19,6 +19,7 @@
         "@aws-sdk/client-dynamodb": "^3.360.0",
         "@dqbd/tiktoken": "^1.0.7",
         "@getzep/zep-js": "^0.6.3",
+        "@google-ai/generativelanguage": "^0.2.1",
         "@huggingface/inference": "^2.6.1",
         "@notionhq/client": "^2.2.8",
         "@opensearch-project/opensearch": "^1.2.0",