Enhance embedding functionality with LiteLLM support#32
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pavanputhra wants to merge 2 commits intomainfrom
Open
Enhance embedding functionality with LiteLLM support#32pavanputhra wants to merge 2 commits intomainfrom
pavanputhra wants to merge 2 commits intomainfrom
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pavanputhra
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Feb 25, 2026
pavanputhra
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- Updated environment variables in .env.example to include LiteLLM proxy settings.
- Modified embed-vcons.ts to support LiteLLM as an embedding provider, updating the provider detection logic and embedding functions.
- Adjusted test-semantic-search.ts to allow embedding generation via LiteLLM or OpenAI.
- Updated Supabase functions to prioritize LiteLLM for embeddings, ensuring proper error handling and API integration.
- Enhanced sync-to-s3 function to include LiteLLM in the provider priority logic.
- Updated environment variables in .env.example to include LiteLLM proxy settings. - Modified embed-vcons.ts to support LiteLLM as an embedding provider, updating the provider detection logic and embedding functions. - Adjusted test-semantic-search.ts to allow embedding generation via LiteLLM or OpenAI. - Updated Supabase functions to prioritize LiteLLM for embeddings, ensuring proper error handling and API integration. - Enhanced sync-to-s3 function to include LiteLLM in the provider priority logic.
- Introduced a new shared module for embedding functions, consolidating logic for LiteLLM, OpenAI, Azure OpenAI, and Hugging Face. - Updated embed-vcons.ts to utilize the shared embedding functions, improving code maintainability and reducing duplication. - Modified Supabase functions to call shared embedding utilities, ensuring consistent handling of API keys and options. - Removed redundant embedding logic from Supabase functions, streamlining the codebase.
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