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Add llama-github Python library to the list #13

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Hello maintainers,

I would like to propose adding the llama-github Python library to the awesome-ai-sdks list. Llama-github is a powerful tool that retrieves highly relevant code snippets, issues, and repository information from GitHub based on user queries, transforming them into valuable knowledge context for LLM Chatbots, AI Agents, and Auto-dev Agents.

Key features of llama-github include:

  1. Intelligent GitHub Retrieval: Advanced retrieval techniques ensure the most pertinent information is found quickly and efficiently.

  2. Repository Pool Caching: An innovative caching mechanism significantly accelerates GitHub search retrieval efficiency and minimizes the consumption of GitHub API tokens.

  3. LLM-Powered Question Analysis: State-of-the-art language models analyze user questions and generate highly effective search strategies and criteria.

  4. Comprehensive Context Generation: Rich, contextually relevant answers are generated by combining information retrieved from GitHub with the reasoning capabilities of advanced language models.

  5. Asynchronous Processing Excellence: Built from the ground up to leverage the full potential of asynchronous programming, llama-github efficiently handles high-volume workloads without compromising on speed or quality.

  6. Flexible LLM Integration: Easily integrate with various LLM providers, embedding models, and reranking models to tailor the library's capabilities to specific requirements.

  7. Robust Authentication Options: Supports both personal access tokens and GitHub App authentication, providing flexibility for different development setups.

  8. Logging and Error Handling: Comprehensive logging and error handling mechanisms provide deep insights into the library's behavior and help maintain a stable and reliable development workflow.

I believe llama-github would be a valuable addition to the awesome-ai-sdks list, as it offers a unique and powerful solution for developers and engineers working with LLMs and GitHub data. The library has been well-received by the community, with a growing number of downloads and positive feedback.

Thank you for considering this pull request. I look forward to your feedback and the opportunity to contribute to this fantastic resource for the AI development community.

Best regards,
Jet Xu

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