kyegomez/swarms 0.8.0

on GitHub

Changelog

• Created LLM class which serves as a wrapper for OpenAI's ChatGPT and Hugging Face's language models.

• Added optional parameters openai_api_key, hf_repo_id, hf_api_token, and model_kwargs to the LLM class.

• Introduced logic to switch between OpenAI's ChatGPT and Hugging Face's language models based on the provided optional parameters.

• Improved error handling in the LLM class. The class now raises a ValueError if neither openai_api_key nor hf_repo_id are provided. It also checks for the presence of HUGGINGFACEHUB_API_TOKEN in the environment variables.

• Improved modularity in the LLM class. Added the ability for the user to provide their own model parameters through the model_kwargs parameter.

• Updated LLM class to be shapeless, allowing users to provide their inputs in any shape they wish.

• Updated the error handling system to provide detailed error messages and log exceptions.

• Created a comprehensive suite of unit tests for the LLM class to ensure robustness and reliability of the code.

• Tests cover initializations, proper usage of underlying models, error handling for missing parameters, and environment variable checks.

Please note that this changelog reflects the changes made during our interactions and your instructions. The versioning is arbitrary and for the purpose of this demonstration only. In a real-world scenario, versioning would likely be more granular and follow semantic versioning principles.