feat: hf chat completion plugin support

[GangGreenTemperTatum]

support for the HF API integration https://huggingface.co/docs/api-inference/en/tasks/chat-completion?code=curl and completes #4

AI-Generated Summary

PR Summary

Overview of Changes

Avast, me hearties! We've hoisted the sails and charted a course through the sea of code, making noteworthy changes and additions to our sturdy ship, the burpference API adapters. With an eye on the horizon, we've added support for HuggingFace API, refined how we cast our request and response handling across the broadside of existing API adapters, and included updates to our treasure map (configs and documentation) to ensure that any soul, be they a seasoned sea dog or a landlubber, can make use of our arsenal of tools for code review and inference.

Key Modifications

1. HuggingFace API Adapter Integration: We've welcomed aboard a new class, HuggingFaceAPIAdapter, setting it up to prepare requests and handle responses for the HuggingFace Serveless Inference API. This includes handling parameters such as max_length, temperature, top_p, and repetition_penalty.
2. Refactor of Existing Adapters: The existing API adapters for Ollama, Anthropic, and Groq alongside OpenAI have undergone a tidy, with adjustments to the way requests are prepared and responses are processed. This be includin' a more consistent use of quotes and tweaking the structure to improve readability and maintainability.
3. Configuration and Documentation Plunder: The configs documentation has seen an addition covering the newly supported HuggingFace Serveless Inference, including an example configuration for the promising bigcode/starcoder model. A new JSON file for the HuggingFace configuration has also been committed to the repository, making it a breeze to configure for those wishing to employ HuggingFace for their code reviewing needs.

Potential Impact

• Enhanced flexibility and utility of burpference for developers and researchers, allowing for a broader range of API services to be used, specifically adding the capability to integrate with HuggingFace's inference API.
• Improved readability and maintainability of the codebase thanks to the refactoring efforts, enabling future sailors of the code to navigate and augment the capabilities with less resistance.
• Greater clarity in documentation and configuration examples, helping users to quickly get the API adapters shipshape and Bristol fashion for their particular needs, especially in leveraging HuggingFace's offerings.

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[GangGreenTemperTatum]

support for the HF API integration https://huggingface.co/docs/api-inference/en/tasks/chat-completion?code=curl and completes #4