* fix(bedrock): filter non-serializable objects from request params
- Enhanced filter_exceptions_from_params() to filter callable objects (functions) and Logging objects
- Applied filtering in Bedrock's _prepare_request_params() before deepcopy
- Applied filtering to additional_request_params before JSON serialization
- Prevents TypeError during deepcopy (APIConnectionError objects) and JSON serialization (functions, Logging objects)
- Fixes test_bedrock_tool_calling test failures
Root cause: MCP-related functions (handle_chat_completion_with_mcp, completion_callable) and litellm_logging_obj were incorrectly added to optional_params via add_provider_specific_params_to_optional_params(), which then ended up in additional_request_params. These objects should be in litellm_params, not optional_params.
* fix(bedrock): filter internal MCP parameters from API requests
Filter out LiteLLM internal/MCP-related parameters (skip_mcp_handler,
mcp_handler_context, _skip_mcp_handler) from additional_request_params
before sending to Bedrock API to prevent 'extraneous key' errors.
- Added filter_internal_params() helper function in core_helpers.py
- Applied filtering in Bedrock's _prepare_request_params() method
- Fixes test_bedrock_completion.py::test_bedrock_tool_calling
* fix: mypy type error
* fix: add filter_exceptions_from_params to recursive function ignore list
- Add filter_exceptions_from_params to IGNORE_FUNCTIONS in recursive_detector.py
- Function is safe: has max_depth parameter (default 20) to prevent infinite recursion
The _delete_nested_value_custom function is recursive but has bounded depth
(limited by the number of path segments), preventing infinite recursion.
This is necessary for nested field removal in additional_drop_params.
* Attempt CI/CD Fix
* Adding test for coverage
* Adding max depth to copilot and vertex
* Fixing mypy lint and docker database
* Fixing UI build issues
* Update playwright test
* fix: avoid redundant __init__ calls on hot path
Previously, imports on the request hot path caused __init__ to run
excessively for every request. This change ensures initialization
happens once, reducing cpu overhead.
* fix: remove redundant __init__ import
The current implementation no longer requires an import at the top of the function.
* fix: placed on core utils for future reuse
* test: add coverage & remove inline import
A general import-checking tool across all endpoints would be a large PR.
This commit focuses on a smaller, targeted fix for the discussed case.
* added import check to CI
* fix(router.py): safe deep copy kwargs
OTEL adds a parent_otel_span which cannot be deepcopied
* fix: use safe deep copy in other places as well
* test: add script to check and ban copy.deepcopy of kwargs
enforce safe_deep_copy usage
* build(ui/): new component for adding model group alias on UI
* fix(proxy_server.py): support updating model_group_alias via /config/update
allows ui component to work
* fix(router.py): update model_group_alias in router settings based on db value
* fix: fix code qa error
* build(model_prices_and_context_window.json): remove 'supports_tool_choice' for specific mistral models
Closes https://github.com/BerriAI/litellm/issues/11750
* feat: initial commit adding cleaner ui for azure text moderation guardrails
* feat(guardrail_endpoints.py): add discoverable guardrail configs and improve converting base model to dict with types
* fix(guardrail_provider_fields.tsx): render from api endpoint correctly
* fix(guardrail_provider_fields.tsx): cleanup
* refactor(guardrail_endpoints.py): refactor to handle dictionaries with literal - allows multiselect
* feat(ui/): render dictionary with known keys correctly
* feat(ui/): render optional params on separate page
* style(ui/): style improvements to rendering optional params on the UI
* feat(azure/prompt_shield.py): add azure prompt shield back on UI
* fix(add_guardrail_form.tsx): fix form to handle updated api
* fix(guardrail_optional_params.tsx): ensure values are nested correctly for writing to api
* fix: fix linting error
* feat(text_moderation.py): handle str to int conversion
* fix(guardrail_info.tsx): only render pii settings if guardrail is presidio
* fix(guardrail_info.tsx): add guardrail specific fields to update settings
allows updating guardrail fields (e.g. severity threshold) post-create
* fix(guardrail_endpoints.py): set guardrail_id in guardrail object
ensures duplicate objects not created on guardrail update
* fix(guardrail_endpoints.py): allow provider specific fields to be updated on patch update
* refactor(guardrail_endpoints.py): remove duplicate info endpoint
* fix(guardrail_endpoints.py): mask sensitive keys on returning via guardrail `/info`
Prevent leaking keys
* fix(guardrail_optional_params.tsx): return numerical input when numerical component used
fixes issue where output was a str
* fix(guardrail_optional_params.tsx): render dict keys correctly
* fix(text_moderation.py): fix severity by category check
* fix(proxy/utils.py): check if guardrail should run for post call streaming hook
Prevents invalid guardrails from running if not requested
* test: fix import
* fix: fix linting error
* test: update test
* fix: fix tests
* fix: fix code qa errors
* fix(guardrail_endpoints.py): set max depth for function
* test: update recursive_detector.py
* test: update list
* build: merge main
* fix: fix ruff check errors
* fix(spend_tracking_utils.py): add user agent tags from standard logging payload, in spend logs payload
* feat(litellm_logging.py): identify user agent tags as `User-Agent: ..` and allow admin to disable storing user agent as tag
* fix(azure_ai/): pass content type header in azure ai request
Fixes https://github.com/BerriAI/litellm/issues/11227
* test: add unit test
* fix(router.py): fix passing dynamic credentials to retrieve batch
Fixes batch retrieval when using router
* test: add more unit tests
* refactor(litellm/): wrap enterprise package usage in safe try-excepts
prevents missing package error for OSS users
Fixes https://github.com/BerriAI/litellm/issues/10795
* ci(config.yml): add script to check for unsafe imports to ci/cd
Closes https://github.com/BerriAI/litellm/issues/10795
* fix: add missing docs
* test: test_openai_image_edit_litellm_sdk
* use n 4 for mapped tests (#11109)
* Fix/background health check (#10887)
* fix: improve health check logic by deep copying model list on each iteration
* test: add async test for background health check reflecting model list changes
* fix: validate health check interval before executing background health check
* fix: specify type for health check results dictionary
* fix(user_api_key_auth.py): handle user custom auth set with no custom settings
* bump: version 0.1.21 → 0.2.0
* ci(config.yml): run enterprise and litellm tests separately
* fix: fix linting error
* docs: add missing docs
* [Feat] Add content policy violation error mapping for image editd (#11113)
* feat: add image edit mapping for content policy violations
* test fix
* Expose `/list` and `/info` endpoints for Audit Log events (#11102)
* feat(audit_logging_endpoints.py): expose list endpoint to show all audit logs
make it easier for user to retrieve individual endpoints
* feat(enterprise/): add audit logging endpoint
* feat(audit_logging_endpoints.py): expose new GET `/audit/{id}` endpoint
make it easier to retrieve view individual audit logs
* feat(key_management_event_hooks.py): correctly show the key of the user who initiated the change
* fix(key_management_event_hooks.py): add key rotations as an audit log event
'
* test(test_audit_logging_endpoints.py): add simple unit testing for audit log endpoint
* fix: testing fixes
* fix: fix ruff check
* [Feat] Use aiohttp transport by default - 97% lower median latency (#11097)
* fix: add flag for disabling use_aiohttp_transport
* feat: add _create_async_transport
* feat: fixes for transport
* add httpx-aiohttp
* feat: fixes for transport
* refactor: fixes for transport
* build: fix deps
* fixes: test fixes
* fix: ensure aiohttp does not auto set content type
* test: test fixes
* feat: add LiteLLMAiohttpTransport
* fix: fixes for responses API handling
* test: fixes for responses API handling
* test: fixes for responses API handling
* feat: fixes for transport
* fix: base embedding handler
* test: test_async_http_handler_force_ipv4
* test: fix failing deepeval test
* fix: add YARL for bedrock urls
* fix: issues with transport
* fix: comment out linting issues
* test fix
* test: XAI is unstable
* test: fixes for using respx
* test: XAI fixes
* test: XAI fixes
* test: infinity testing fixes
* docs(config_settings.md): document param
* test: test_openai_image_edit_litellm_sdk
* test: remove deprecated test
* bump respx==0.22.0
* test: test_xai_message_name_filtering
* test: fix anthropic test after bumping httpx
* use n 4 for mapped tests (#11109)
* fix: use 1 session per event loop
* test: test_client_session_helper
* fix: linting error
* fix: resolving GET requests on httpx 0.28.1
* test fixes proxy unit tests
* fix: add ssl verify settings
* fix: proxy unit tests
* fix: refactor
* tests: basic unit tests for aiohttp transports
* tests: fixes xai
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* test: cleanup redundant test
* fix: fix import
* fix: fix linting errors
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: JuHyun Bae <jhyun0408@nate.com>
* fix(auth_checks.py): enforce auth checks on target model names
ensures user has access to models they are trying to call
* test(test_auth_utils.py): add unit tests for auth check
* fix(exception_mapping_utils.py): handle mistral 429 exception
* fix: fix linting error
* fix(auth_checks.py): add max fallback depth
* fix(cost_calculator.py): handle custom pricing at deployment level for router
* test: add unit tests
* fix(router.py): show custom pricing on UI
check correct model str
* fix: fix linting error
* docs(custom_pricing.md): clarify custom pricing for proxy
Fixes https://github.com/BerriAI/litellm/issues/8573#issuecomment-2790420740
* test: update code qa test
* fix: cleanup traceback
* fix: handle litellm param custom pricing
* test: update test
* fix(cost_calculator.py): add router model id to list of potential model names
* fix(cost_calculator.py): fix router model id check
* fix: router.py - maintain older model registry approach
* fix: fix ruff check
* fix(router.py): router get deployment info
add custom values to mapped dict
* test: update test
* fix(utils.py): update only if value is non-null
* test: add unit test
* fix(vertex_ai.py): common_utils.py
move to only passing in accepted keys by vertex ai
prevent json schema compatible keys like $id, and $comment from causing vertex ai openapi calls to fail
* fix(test_vertex.py): add testing to ensure only accepted schema params passed in
* fix(common_utils.py): fix linting error
* test: update test
* test: accept function
Ishaan Jaffer