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litellm/tests/test_litellm/vector_stores
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mateo-berri f77b3b2b52 refactor(s3_vectors): embed search queries through the shared vector store executor 
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.
2026-09-02 19:26:31 -07:00
..
__init__.py test(vector_stores): package the suite dir to avoid test_main basename collision 2026-09-01 13:15:51 -07:00
test_main.py refactor(s3_vectors): embed search queries through the shared vector store executor 2026-09-02 19:26:31 -07:00
test_vector_store_create_provider_logic.py test: drop the cwd-relative sys.path.insert calls from the test suite (#37802) 2026-08-22 09:25:58 -07:00
test_vector_store_registry.py test: drop the cwd-relative sys.path.insert calls from the test suite (#37802) 2026-08-22 09:25:58 -07:00