- Access model_fields on class instead of instance to avoid deprecation warnings
- Add warning filter to suppress Pydantic instance attribute access warnings
- Fix affects streaming operations where warnings accumulate over time
- Updated cost_calculator.py, core_helpers.py, and model_response_utils.py
The previous implementation accessed model_fields on Pydantic model instances,
which triggers deprecation warnings in Pydantic 2.11+. These warnings accumulate
during streaming operations, causing memory leaks. Now accessing model_fields
via type(instance).model_fields to prevent warning generation.
* fix model error for apis which don't need model
* fix print statments:
* fix mypy lint errors
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Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* feat(vector_store_endpoints/endpoints.py): add new index_create endpoint
allows admin to create a virtual index, to do permission management for
* feat(key_management_endpoints.py): enable setting allowed_vector_store_indexes on keys
proxy admin can enable dev to create an index on a vector stor
* feat: initial commit adding vector store index passthrough logic to litellm
* feat: add vector store table
* fix(azure_ai/transformation.py): fix headers
* feat: track read/write endpoints by vector store integration
enables permissions by index to work
* fix: azure_ai/vector_stores/search
document the vector store endpoints correctly
ensures permission management works as expected
* fix(proxy/utils.py): improve error message
* docs(azure_ai_vector_stores_passthrough.md): document azure ai passthrough vector store support
* docs(create.md): document azure ai support via passthrough for vector store create
* fix: fix code qa errors
* fix: document new allowed_vector_store_indexes endpoint
* feat(milvus/): initial commit adding milvus vector store support to LiteLLM
allows querying milvus vector store through litellm
* feat(bedrock/vector_stores): support translating openai filters param to aws kb
adds filtering to aws kb
* feat(milvus/): add milvus vector store unified search support
allows calling milvus vector store in through chat completions
* docs(milvus_vector_stores.md): document new milvus vector search integration
* feat(pass_through_endpoints.py): support passing form data through to a passthrough endpoint
Closes LIT-1147
* fix: fix linting errors
Krrish Dholakia