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GH Pages for documentation #14

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tazarov opened this issue Jul 8, 2023 · 0 comments
Closed

GH Pages for documentation #14

tazarov opened this issue Jul 8, 2023 · 0 comments
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documentation Improvements or additions to documentation
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tazarov commented Jul 8, 2023

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Create GH pages with material for mkdocs

@tazarov tazarov added the documentation Improvements or additions to documentation label Jul 8, 2023
@tazarov tazarov added this to the POC milestone Jul 8, 2023
@tazarov tazarov self-assigned this Jul 8, 2023
tazarov added a commit that referenced this issue Jul 8, 2023
Added docs workflow for building the docs

Refs: #14
tazarov added a commit that referenced this issue Jul 8, 2023
tazarov added a commit that referenced this issue Jul 8, 2023
tazarov added a commit that referenced this issue Jul 8, 2023
tazarov added a commit that referenced this issue Jul 18, 2023
* chore: Added project urls and fixed python vulnerability scan paths

* chore: Added some fixes and documentation to py_function_parser.  (#2)

* chore: Added some fixes and documentation to py_function_parser. Added py parser tests.

* fix: Fixing vuln scan action

* feat: Added LLM tools, Added class inheritance for classes that need LLM handling.

* feat: Added support for enums.

Updated tests.
Added links to inspiration projects

* feat: First 'naive' iteration of openai function calling with openAPI specs

* chore: version bump

* feat: OpenAPI Parsing and calling is now implemented and working.

* feat: Jinja2 template rendering with prompt and OpenAI Functions

* feat: Added custom filter support.

* feat: Refactored OpenAPI calling.

Added an abstraction for OpenAI functions OpenAIFunctionWrapper. It is still in early dev.

* feat: Added json serialization of wrappers.

* feat: Fixing python vulnerability scan workflow.

* chore: Version bump for json serialization feature of OpenAPI wrapper

* feat: OpenAPI spec chatbot (#8)

Refs: #7

* feat: Added OpenAPI QA bot support and example gradio chatbot

Refs: #7

* feat: Added locally run (facebook/bart-large-mnli) text classifier for identifying operations from user prompts - this is helpful for reducing LLM costs.

* feat: Added return description to OpenAI function object's description.

Refs: #11

* feat: Added threshold to the FunctionIndexer find_functions with a default 1.0 (match everything)

Refs: #13

* feat: Documentation

Added docs workflow for building the docs

Refs: #14

* chore: Enable Material theme for docs

Refs: #14

* chore: Added an article on Python function calling

Refs: #14

* fix: Fixed wrong indentation in python-function-calling.md article.

Refs: #14

* fix: Gotta learn material for mkdocs :D

Refs: #14

* feat: Added function wrapper documentation and example jupyter notebook.

Refs: #14

* fix: Added small improvement of information returned about failures to call LLM from response.

* chore: Version bump

* fix: Remove telemetry in ChromaDB and fixed an issue where OpenaAI key was not taken from env variable or constructor args.

---------

Signed-off-by: Trayan Azarov <tazarov@users.noreply.github.com>
tazarov added a commit that referenced this issue Jul 19, 2023
* chore: Added project urls and fixed python vulnerability scan paths

* chore: Added some fixes and documentation to py_function_parser.  (#2)

* chore: Added some fixes and documentation to py_function_parser. Added py parser tests.

* fix: Fixing vuln scan action

* feat: Added LLM tools, Added class inheritance for classes that need LLM handling.

* feat: Added support for enums.

Updated tests.
Added links to inspiration projects

* feat: First 'naive' iteration of openai function calling with openAPI specs

* chore: version bump

* feat: OpenAPI Parsing and calling is now implemented and working.

* feat: Jinja2 template rendering with prompt and OpenAI Functions

* feat: Added custom filter support.

* feat: Refactored OpenAPI calling.

Added an abstraction for OpenAI functions OpenAIFunctionWrapper. It is still in early dev.

* feat: Added json serialization of wrappers.

* feat: Fixing python vulnerability scan workflow.

* chore: Version bump for json serialization feature of OpenAPI wrapper

* feat: OpenAPI spec chatbot (#8)

Refs: #7

* feat: Added OpenAPI QA bot support and example gradio chatbot

Refs: #7

* feat: Added locally run (facebook/bart-large-mnli) text classifier for identifying operations from user prompts - this is helpful for reducing LLM costs.

* feat: Added return description to OpenAI function object's description.

Refs: #11

* feat: Added threshold to the FunctionIndexer find_functions with a default 1.0 (match everything)

Refs: #13

* feat: Documentation

Added docs workflow for building the docs

Refs: #14

* chore: Enable Material theme for docs

Refs: #14

* chore: Added an article on Python function calling

Refs: #14

* fix: Fixed wrong indentation in python-function-calling.md article.

Refs: #14

* fix: Gotta learn material for mkdocs :D

Refs: #14

* feat: Added function wrapper documentation and example jupyter notebook.

Refs: #14

* fix: Added small improvement of information returned about failures to call LLM from response.

* chore: Version bump

* fix: Remove telemetry in ChromaDB and fixed an issue where OpenaAI key was not taken from env variable or constructor args.

* fix: Bumping chromadb version to 0.4.2

* chore: Version bump to resolve dependency issues

---------

Signed-off-by: Trayan Azarov <tazarov@users.noreply.github.com>
tazarov added a commit that referenced this issue Jul 19, 2023
* chore: Added project urls and fixed python vulnerability scan paths

* chore: Added some fixes and documentation to py_function_parser.  (#2)

* chore: Added some fixes and documentation to py_function_parser. Added py parser tests.

* fix: Fixing vuln scan action

* feat: Added LLM tools, Added class inheritance for classes that need LLM handling.

* feat: Added support for enums.

Updated tests.
Added links to inspiration projects

* feat: First 'naive' iteration of openai function calling with openAPI specs

* chore: version bump

* feat: OpenAPI Parsing and calling is now implemented and working.

* feat: Jinja2 template rendering with prompt and OpenAI Functions

* feat: Added custom filter support.

* feat: Refactored OpenAPI calling.

Added an abstraction for OpenAI functions OpenAIFunctionWrapper. It is still in early dev.

* feat: Added json serialization of wrappers.

* feat: Fixing python vulnerability scan workflow.

* chore: Version bump for json serialization feature of OpenAPI wrapper

* feat: OpenAPI spec chatbot (#8)

Refs: #7

* feat: Added OpenAPI QA bot support and example gradio chatbot

Refs: #7

* feat: Added locally run (facebook/bart-large-mnli) text classifier for identifying operations from user prompts - this is helpful for reducing LLM costs.

* feat: Added return description to OpenAI function object's description.

Refs: #11

* feat: Added threshold to the FunctionIndexer find_functions with a default 1.0 (match everything)

Refs: #13

* feat: Documentation

Added docs workflow for building the docs

Refs: #14

* chore: Enable Material theme for docs

Refs: #14

* chore: Added an article on Python function calling

Refs: #14

* fix: Fixed wrong indentation in python-function-calling.md article.

Refs: #14

* fix: Gotta learn material for mkdocs :D

Refs: #14

* feat: Added function wrapper documentation and example jupyter notebook.

Refs: #14

* fix: Added small improvement of information returned about failures to call LLM from response.

* chore: Version bump

* fix: Remove telemetry in ChromaDB and fixed an issue where OpenaAI key was not taken from env variable or constructor args.

* fix: Bumping chromadb version to 0.4.2

* chore: Version bump to resolve dependency issues

* fix: Fixed a migration problem to new chromadb

---------

Signed-off-by: Trayan Azarov <tazarov@users.noreply.github.com>
@tazarov tazarov closed this as completed Jul 19, 2023
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