* Addd v2/chat support for cohere
* fix streaming
* Use v2_transformation for logging passthrough:
* Use v2_transformation for logging passthrough:
* Add test for checking if document and citation_options is getting passed
* Update the cohere model
* Add cost tracking for vertex ai passthrough batch jobs
* Add full passthrough support
* refactor code according to the comments
* Add passthrough handler
* remove invalid params
* Updated documentation
* Updated documentation
* Updated documentation
* Correct the import
* Add openai videos generation and retrieval support
* add retrieval endpoint
* Add docs
* Add imports
* remove orjson
* remove double import
* fix openai videos format
* remove mock code
* remove not required comments
* Add tests
* Add tests
* Add other video endpoints
* Fix cost calculation and transformation
* Fixed mypy tests
* remove not used imports
* fix documentation for get batch req (#15742)
* Add grounding info to responses API (#15737)
* Add grounding info to responses API
* fix lint errors
* Use typed objects for annotations
* Use typed objects for annotations
* fix mypy error
* Litellm fix json serialize alreting 2 (#15741)
* fix json serializable error for alerts
* Add test
* fix mypt errors
* fix mypt errors
* Add Qwen3 imported model support for AWS Bedrock (#15783)
* Add qwen imported model support
* fix mypy errors
* fix empty user message error (#15784)
* fix typed dict for list
* Add azure supported videos endpoint
* fix mapped tests
* add azure sora models to model map
* Add OpenAI video generation and content retrieval support (#15745)
* Add openai videos generation and retrieval support
* add retrieval endpoint
* Add docs
* Add imports
* remove orjson
* remove double import
* fix openai videos format
* remove mock code
* remove not required comments
* Add tests
* Add tests
* Add other video endpoints
* Fix cost calculation and transformation
* Fixed mypy tests
* remove not used imports
* fix typed dict for list
* fix mypy errors
* move directory
* make v2 chat default
* Fix mypy tests
* Fix mypy tests
* Fix mypy tests
* Fix mypy tests
* Revert "Add Azure Video Generation Support with Sora Integration"
* refactor videos repo
* add test
* Add azure openai videos support
* Add azure openai videos support
* Add router endpoint support for videos
* fix mypy error
* add azure models
* fix mapped test
* fix mypy error
* Add proxy router test
* Add proxy router test
* remove deprecated model name from tests
* fix import error
* fix import error
* Add gaurdrail integration in videos endpoint
* Add logging support for videos endpoint
* Add final documentation supporting videos integration
* fix model name and document input
* Update literals to avoid mypy errors
* Remove unused imports and print statements
* revert guardrail support for video generation and video remix
* revert guardrail support for video generation and video remix
* Fix failing mapped and llm translation tests
* 1. add v3 classify
2. add new classifix for masking
3. support same id for the conversation for pre and post
working with duplicates
* clean code, remove some debug and run tests
* update liter errors
* improvment for Code Organization, httpx Error Handling Specificity, Logging Improvements and Type
* transfer test test_lasso_guard_config to the new location
* Fix type hints and linting errors in lasso.py
- Add type: ignore for httpx module when None
- Fix return type issues in _handle_classification and _handle_masking
- Ensure masked_messages is not None before passing to _apply_masking_to_model_response
- Convert LassoResponse to dict for _log_masking_applied call
* feat(vector_stores/): initial commit adding Vertex AI Search API support for litellm
new vector store provider
* feat(vector_store/): use vector store id for vertex ai search api
* fix: transformation.py
cleanup
* fix: implement abstract function
* fix: fix linting error
* fix: main.py
fix check
* feat(cohere): Enhance embedding transformation to support Bedrock's embeddings by type
* test(cohere): Add unit tests for embedding transformation responses
* fix: Apply max_connections configuration to Redis async client
- Add max_connections to available Redis cluster kwargs
- Add connection_pool parameter to get_redis_async_client()
- Pass connection_pool to Redis client if provided
- Prevents Redis connection exhaustion under high load
* test: Add tests for Redis max_connections feature
- Test max_connections is included in cluster kwargs
- Test connection_pool parameter is properly passed to async client
- Test async client works without connection_pool parameter
All 3 tests pass successfully
- Change variable name in litellm/__init__.py from configured_cold_storage_logger to cold_storage_custom_logger
- Update all references across the codebase to use the new variable name
- This fixes silent failure of cold storage logging due to variable name mismatch
- Configuration files use cold_storage_custom_logger, code should match
Files updated:
- litellm/__init__.py
- litellm/litellm_core_utils/litellm_logging.py
- litellm/proxy/spend_tracking/cold_storage_handler.py
- litellm/responses/litellm_completion_transformation/session_handler.py
- tests/test_litellm/litellm_core_utils/test_litellm_logging.py
- tests/test_litellm/responses/litellm_completion_transformation/test_session_handler.py
* Add imageConfig parameter support for Vertex AI to enable gemini-2.5-flash-image model requirements
* Add test for imageConfig parameter support in Vertex AI Gemini transformation
* [Feat] Add SENTRY_ENVIRONMENT configuration for Sentry integration and corresponding tests
* [Refactor] Enhance test_sentry_environment by mocking sentry_sdk and improving environment handling
* [Fix] Update default SENTRY_ENVIRONMENT to 'production' and enhance test for Sentry integration
* [Fix] Update test_sentry_environment to verify correct handling of SENTRY_ENVIRONMENT values
* [Fix] Update test_sentry_environment to assert correct handling of production environment
* fixed the Auth header for MCP Tool Call
* Final fix for Auth header
* testcase for mcp_auth_header_extraction, insensitive_alias_matching, insensitive_servername_matching added
* fix: Add response_type parameter to OAuth authorization endpoint
Fixes#15684
OAuth providers like Google require the response_type parameter during
the authorization flow. This commit adds response_type=code to the
authorization redirect parameters, which is required by the OAuth 2.0
specification (RFC 6749 Section 4.1.1).
Changes:
- Added response_type=code to authorization params in discoverable_endpoints.py
- Added test coverage for the response_type parameter
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix oauth flow by forwarding code_challenge and forwarding code_verifier
---------
Co-authored-by: Claude <noreply@anthropic.com>
