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S3 Vectors now subclasses BaseQueryEmbeddingVectorStoreConfig, so its query embedding runs through the Router executor with the request metadata instead of a private router lookup. embedding_model stays accepted as an alias of litellm_embedding_model. The router kwarg is gone from the search handler and every provider transform now that nothing but the executor fallback read it. |
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| .. | ||
| __init__.py | ||
| test_main.py | ||
| test_vector_store_create_provider_logic.py | ||
| test_vector_store_registry.py | ||