* 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>
* feat(guardrails): Add content masking and streaming support to PANW Prisma AIRS
- Add mask_request_content and mask_response_content parameters
- Implement content masking for prompts and responses
- Add streaming support with real-time masking
- Add comprehensive test coverage (28 tests)
- Update documentation with masking examples and security notes
* fix(guardrails): Fix PANW Prisma AIRS env var fallback and text completion support
