LiteLLM - A Unified API Interface for Multiple Language Models

LiteLLM - A Unified API Interface for Multiple Language Models

Trelis Research via YouTube Direct link

- Basic setup instructions for LiteLLM

5 of 18

5 of 18

- Basic setup instructions for LiteLLM

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Classroom Contents

LiteLLM - A Unified API Interface for Multiple Language Models

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  1. 1 - Introduction to using multiple APIs through a single endpoint
  2. 2 - Explanation of how different APIs have different formats
  3. 3 - Introduction to LiteLLM as open source solution
  4. 4 - Overview of testing different use cases
  5. 5 - Basic setup instructions for LiteLLM
  6. 6 - Demo of basic API calls
  7. 7 - Discussion of LiteLLM's business model
  8. 8 - Testing long context with Berkshire transcript
  9. 9 - Demonstration of streaming functionality
  10. 10 - Testing tool calling capabilities
  11. 11 - Testing o1 series models
  12. 12 - Testing image input functionality
  13. 13 - Introduction to custom endpoints
  14. 14 - Setting up RunPod custom endpoint
  15. 15 - Demonstration of local endpoint with LM Studio
  16. 16 - Conclusion and recommendations
  17. 17 - Comparison with alternatives like Langchain and DSPy
  18. 18 - Reference to Advanced Inference Repo

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