* refactor(aim.py): refactor to support adding aim guardrails on UI
* fix(base.py): add ui_friendly_name to config model
* feat(ui/): support loading new guardrails from backend api call
removes need to onboard each guardrail to ui
* fix: don't show optional params if not set and don't show ui_friendly_name (internal param0
* fix(ui/add_guardrail_form.tsx): ensure dynamic provider value is used
* fix(ui/): just one-time update the provider map dictionary
* fix(ui/): show masked api base / api key on guardrail update
* refactor(aporia_ai/): refactor to show on UI
* feat(aporia_ai/): add aporia ai guardrail to UI
* refactor(guardrails_ai/): refactor to add via UI
* refactor(lasso.py): refactor to enable adding lasso guardrails via UI
* feat(pangea.py): add pangea guardrail on UI
* feat(panw): add panw prisma airs through UI
* test: update tests
* fix: fix ruff linting error
* test: update tests
* fix: add missing docs
* fix: fix guardrail init
* fix: suppress linting errors
* fix(proxy_server.py): fix linting error
* fix(streaming_handler.py): don't return stream options in clientside response
* test: add unit test
* fix(custom_guardrail.py): fix start time
don't start until function actually called
leading to incorrect high latency numbers
* fix(custom_guardrail.py): fix start time
* 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
* 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
* test: update tests
* fix mapped tests (#12320)
* fix - use flush llm client cache
* faster mapped tests
* test_async_multiple_response_ids_routing
* fix tests
* test_ateam_member_update_admin_requires_premium
* regular mapped tests
* Revert "Fix: Initialize JSON logging for all loggers when JSON_LOGS=True (#12206)"
This reverts commit 2c60c316ec.
* reset num workers
* check_for_litellm_module_deletion
* add test
* add code_qa_check_tests
* ci/cd new release
* docs(opentelemetry_integration.md): add otel debug flag to docs
help people debug their traces easily
* [Feat] Add failure logging support for s3 logger (#12299)
* add async_log_failure_event
* test_basic_s3_v2_logging_failure
* Comma separated spend and budget (#12317)
* all_keys_table, key_info_view, organizations
* teams
* the whole usage page
* teams page
* users table
* user info
* more commas
* some more commas
* Segregate MCP tools on connections using headers (#12296)
* Add get tools segregation
* add ui changes (#12302)
* resolve comments
* add mapped tests
* remove advanced settings (#12323)
* [Bug Fix] /generateContent API - Only pass supported params when using OpenAI models (#12297)
* fix - only pass GenericLiteLLMParams
* test_google_generate_content_with_openai
* Fix: Fix custom ca bundle support in aiohttp transport (#12281)
* Unify usage of get_ssl_configuration
* Fix doc
* [Feat] Add github co-pilot as a new LLM API provider (#12325)
* Litellm dev 03 05 2025 contributor prs (#9079)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
* Fix#7629 - Add tzdata package to Dockerfile (#8915)
* Add tzdata package to Dockerfile
* Move tzdata to python requirement.txt
* feat: add support for copilot provider (#8577)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* feat: add model information for copilot models
* fix: fix linting errors
* test: remove integration test for github_copilot + fix misisng mock
* fix: use print to make sure the logger message shown
* test: remove debug print
* fix lint (#11112)
* Add init files to make test directories Python packages and update import paths in test_token_counter.py (#11119)
* Update litellm/model_prices_and_context_window_backup.json
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
---------
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* refactor github copilot
* test_github_copilot_transformation.py
* test_github_copilot_authenticator.py
* add GitHub Copilot
* fix order
* doc fix
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
* add new env vars to docs
* ssl_cert_error (#12327)
* feat - add new banner on startup (#12328)
* [Security Bug Fix] Ensure only LLM API route fails get logged on Langfuse (and other loggers) (#12308)
* _is_proxy_only_llm_api_error
* test_proxy_only_error_true_for_llm_route
* add not on change
* Update tests/test_litellm/proxy/test_proxy_utils.py
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* add test_post_call_failure_hook_auth_error_key_info_route
* test fix _is_proxy_only_llm_api_error
* test_chat_completion_request_with_redaction
* test_post_call_failure_hook_auth_error_llm_api_route
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Ensure message redaction works for responses API logging (#12291)
* add fixes to choice implementation redaction
* add isInstance check on responses API
* change datadog to revert back
* change datadog to revert back
* fix type errors
* Redaction test changes
* Redaction test changes
* Redaction test changes - remove changes
* [Feat] UI - Allow Viewing/Editing Team Based Callbacks (#12329)
* add logging settings view on UI
* fix change ordering
* fix type error
* test fix - import loc
* [Feat] QA - Arize Team based logging (#12331)
* add _get_tracer_with_dynamic_headers
* fix construct_dynamic_arize_headers
* [Feat] UI - Allow Viewing/Editing Team Based Callbacks (#12329)
* add logging settings view on UI
* fix change ordering
* add construct_dynamic_otel_headers for arize
* refactor common code
* test_construct_dynamic_arize_headers
* otel unit tests
* test_arize_dynamic_params
* test_arize_dynamic_headers_in_grpc_requests
* [Feat] UI - Allow setting Logging Callback Setting per Key (#12333)
* allow adding logging settings on a key
* add ability to edit key logging settings
* dont leak api keys on ui
* fix order
* add langsmith settings
* ui new build
* test_default_api_base
* fix new utils tests
* bump: version 1.73.7 → 1.74.0
* Add mcp server segregation comma separated support (#12326)
* add mcp comma separated support
* dont support legacy json array
* lint
* add live tail state to session storage (#12335)
* add aiml
* fix: fix unused imports
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: tanjiro <56165694+NANDINI-star@users.noreply.github.com>
Co-authored-by: Jugal D. Bhatt <55304795+jugaldb@users.noreply.github.com>
Co-authored-by: Joost van Doorn <joost.van.doorn@gmail.com>
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* add JWTLiteLLMRoleMap
* test_sync_user_role_and_teams
* add sync_user_role_and_teams
* test_sync_user_role_and_teams
* fix types
* Sync User Roles and Teams with IDP
* Add test for JWT role mapping to LiteLLM roles
* Litellm dev 03 05 2025 contributor prs (#9079)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
* Fix#7629 - Add tzdata package to Dockerfile (#8915)
* Add tzdata package to Dockerfile
* Move tzdata to python requirement.txt
* feat: add support for copilot provider (#8577)
* feat: add support for copilot provider
* test: add tests for github copilot
* chore: clean up github copilot authenticator
* test: add test for github copilot authenticator
* test: add test for github copilot for sonnet 3.7 thought model
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* feat: add model information for copilot models
* fix: fix linting errors
* test: remove integration test for github_copilot + fix misisng mock
* fix: use print to make sure the logger message shown
* test: remove debug print
* fix lint (#11112)
* Add init files to make test directories Python packages and update import paths in test_token_counter.py (#11119)
* Update litellm/model_prices_and_context_window_backup.json
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
---------
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* refactor github copilot
* test_github_copilot_transformation.py
* test_github_copilot_authenticator.py
* add GitHub Copilot
* fix order
* doc fix
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Son H. Nguyen <nhs.000.dev@gmail.com>
Co-authored-by: subnet.dev <50828879+subnet-dev@users.noreply.github.com>
Co-authored-by: Son H. Nguyen <33925625+nhs000@users.noreply.github.com>
Co-authored-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
- Added 'size' to supported parameters for vertex_ai in get_optional_params_image_gen
- Implemented mapping from OpenAI size format (e.g., '1024x1024') to Vertex AI aspectRatio format (e.g., '1:1')
- Supports common aspect ratios: 1:1 (square), 16:9 (landscape), 9:16 (portrait)
- Added comprehensive test coverage for the size parameter mapping
Fixes LIT-279: Vertex AI Image Generation Aspect Ratio Support
The test_list_callbacks_mixed_callback_types test was failing when run in parallel with other tests due to the proxy server's internal _PROXY_VirtualKeyModelMaxBudgetLimiter callback persisting across test runs. This fix filters out proxy internal callbacks from the test assertions to ensure consistent test behavior regardless of test execution order or parallelization.
* feat(azure/prompt_shield.py): initial commit adding prompt shield guardrail + auto discovery mechanism for guardrails
reduces amount of code needed outside of guardrail integration for instrumentation
* feat(azure/prompt_shield.py): working azure prompt shield guardrail integration
Addresses https://github.com/BerriAI/litellm/issues/12254
* test: unit tests for prompt_shield
* fix(prompt_shield.py): add event hook validation for prompt shield guardrail
ensures prompt shield guardrail raises error if asked to run post_call (only runs on user prompt)
* feat(azure/): working text_moderation integration
* fix(text_moderation.py): suppress linting error
* test(test_azure_text_moderation.py): add unit test
* test(test_azure_text_moderation.py): add unit test for responses
* fix(text_moderation.py): return streaming error correctly
ensures error returned to user
* fix: fix linting error
* fix: fix linting check
* test: change mistral model
service tier exceeded
* fix(exception_mapping_utils.py): cover mistral in exception mapping
* Enhance Mistral API: Add support for parallel tool calls and refine name handling in tool messages. Plus, introduce a new test for parallel tool calls in the Mistral model.
* tests
* make mypy happy
* Refine name handling in Mistral chat transformation: clarify conditions for removing the 'name' field based on message role and content.
* refactor: streamline Mistral integration by removing deprecated references and adding a new handler
- Removed "mistral" from the list of compatible providers in constants.
- Updated the completion function in main.py to utilize the new Mistral handler.
- Deleted outdated Mistral chat and embedding files.
- Introduced a new handler for Mistral chat completions, implementing the llm_http_handler pattern.
- Added integration tests for the Mistral handler to ensure proper API base and key handling.
* lint
* fix: remove unneeded handler object
* add tests
* Addres PR comments
* fix(main.py): handle router custom azure model name for responses api bridge
* fix(responses/handler): ensure azure model name is stripped before sending to provider
Fixes model name error
* fix(google_genai/main.py): handle stream=true being set in kwargs
* docs: cleanup icons from sidebar
* fix(test-litellm.yml): add google-genai to test litellmyml
* fix(main.py): strip 'responses/' from bridge
* fix(main.py): fix linting errors
* fix(types/openai.py): allow item to be none
handle azure streaming response
* fix(base.py): allow extra fields + handle azure item = none value in response output item added event
* fix(main.py): correctly handle removing responses/
* test(test_main.py): add unit tests
When JSON_LOGS=True is set, error logs were not being formatted as JSON despite
the configuration. This was because the logging initialization code configured
individual loggers but failed to properly initialize all loggers with the JSON
formatter.
This fix ensures that when json_logs is enabled, the _initialize_loggers_with_handler()
function is called to:
- Configure all loggers (root, LiteLLM, Router, Proxy) with JSON formatter
- Disable logger propagation to prevent duplicate entries
- Set up exception handlers for JSON formatting
Fixes LIT-267
* Enhance Mistral API: Add support for parallel tool calls and refine name handling in tool messages. Plus, introduce a new test for parallel tool calls in the Mistral model.
* tests
* make mypy happy
* Refine name handling in Mistral chat transformation: clarify conditions for removing the 'name' field based on message role and content.
* handle mistral returning '' instead of None
