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- Add encodingFormat property to OpenAIEmbeddingsParams interface and OpenAIEmbeddings class
- Pass encoding_format parameter to OpenAI API calls in embedDocuments and embedQuery methods
- Add integration tests for encodingFormat with default and custom dimensions
- Maintain camelCase in public API while correctly mapping to underscore format for OpenAI API
Fixes incorrect embeddings vector length issue by allowing users to specify
the encoding format ('float' or 'base64') for OpenAI embeddings API calls.
Resolves#8101
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christian-bromann
changed the title
feat(openai): add encodingFormat parameter support for embeddings
feat(openai/0.x): add encodingFormat parameter support for embeddings
Sep 9, 2025
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This PR got buried (and should also address this), but I have similar reservations with this change. We can set the encoding format, but the type that gets returned from the base embeddings class is always a number array, so when encodingFormat is set to base64 the types are technically wrong
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christian-bromann
changed the title
ported from #8881