* fix(factory.py): ensure tool call converts image url
Fixes https://github.com/BerriAI/litellm/issues/6953
* fix(transformation.py): support mp4 + pdf url's for vertex ai
Fixes https://github.com/BerriAI/litellm/issues/6936
* fix(http_handler.py): mask gemini api key in error logs
Fixes https://github.com/BerriAI/litellm/issues/6963
* docs(prometheus.md): update prometheus FAQs
* feat(auth_checks.py): ensure specific model access > wildcard model access
if wildcard model is in access group, but specific model is not - deny access
* fix(auth_checks.py): handle auth checks for team based model access groups
handles scenario where model access group used for wildcard models
* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`
Fixes https://github.com/BerriAI/litellm/issues/6942
* fix(key_management_endpoints.py): fix prepare_metadata_fields helper
* fix: fix tests
* build(requirements.txt): bump openai dep version
fixes proxies argument
* test: fix tests
* fix(http_handler.py): fix error message masking
* fix(bedrock_guardrails.py): pass in prepped data
* test: fix test
* test: fix nvidia nim test
* fix(http_handler.py): return original response headers
* fix: revert maskedhttpstatuserror
* test: update tests
* test: cleanup test
* fix(key_management_endpoints.py): fix metadata field update logic
* fix(key_management_endpoints.py): maintain initial order of guardrails in key update
* fix(key_management_endpoints.py): handle prepare metadata
* fix: fix linting errors
* fix: fix linting errors
* fix: fix linting errors
* fix: fix key management errors
* fix(key_management_endpoints.py): update metadata
* test: update test
* refactor: add more debug statements
* test: skip flaky test
* test: fix test
* fix: fix test
* fix: fix update metadata logic
* fix: fix test
* ci(config.yml): change db url for e2e ui testing
* docs(config_settings.md): document all router_settings
* ci(config.yml): add router_settings doc test to ci/cd
* test: debug test on ci/cd
* test: debug ci/cd test
* test: fix test
* fix(team_endpoints.py): skip invalid team object. don't fail `/team/list` call
Causes downstream errors if ui just fails to load team list
* test(base_llm_unit_tests.py): add 'response_format={"type": "text"}' test to base_llm_unit_tests
adds complete coverage for all 'response_format' values to ci/cd
* feat(router.py): support wildcard routes in `get_router_model_info()`
Addresses https://github.com/BerriAI/litellm/issues/6914
* build(model_prices_and_context_window.json): add tpm/rpm limits for all gemini models
Allows for ratelimit tracking for gemini models even with wildcard routing enabled
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): add tpm/rpm tracking on success/failure to global_router
Addresses https://github.com/BerriAI/litellm/issues/6914
* feat(router.py): support wildcard routes on router.get_model_group_usage()
* fix(router.py): fix linting error
* fix(router.py): implement get_remaining_tokens_and_requests
Addresses https://github.com/BerriAI/litellm/issues/6914
* fix(router.py): fix linting errors
* test: fix test
* test: fix tests
* docs(config_settings.md): add missing dd env vars to docs
* fix(router.py): check if hidden params is dict
* add async_log_failure_event for dd
* use standard logging payload for DD logging
* use standard logging payload for DD
* fix use SLP status
* allow opting into _create_v0_logging_payload
* add unit tests for DD logging payload
* fix dd logging tests
* use 1 file for duration_in_seconds
* add to readme.md
* re use duration_in_seconds
* fix importing _extract_from_regex, get_last_day_of_month
* fix import
* update provider budget routing
* fix - remove dup test
* add support for using in multi instance environments
* test_in_memory_redis_sync_e2e
* test_in_memory_redis_sync_e2e
* fix test_in_memory_redis_sync_e2e
* fix code quality check
* fix test provider budgets
* working provider budget tests
* add fixture for provider budget routing
* fix router testing for provider budgets
* add comments on provider budget routing
* use RedisPipelineIncrementOperation
* add redis async_increment_pipeline
* use redis async_increment_pipeline
* use lower value for testing
* use redis async_increment_pipeline
* use consistent key name for increment op
* add handling for budget windows
* fix typing async_increment_pipeline
* fix set attr
* add clear doc strings
* unit testing for provider budgets
* test_redis_increment_pipeline
* feat(pass_through_endpoints/): support logging anthropic/gemini pass through calls to langfuse/s3/etc.
* fix(utils.py): allow disabling end user cost tracking with new param
Allows proxy admin to disable cost tracking for end user - keeps prometheus metrics small
* docs(configs.md): add disable_end_user_cost_tracking reference to docs
* feat(key_management_endpoints.py): add support for restricting access to `/key/generate` by team/proxy level role
Enables admin to restrict key creation, and assign team admins to handle distributing keys
* test(test_key_management.py): add unit testing for personal / team key restriction checks
* docs: add docs on restricting key creation
* docs(finetuned_models.md): add new guide on calling finetuned models
* docs(input.md): cleanup anthropic supported params
Closes https://github.com/BerriAI/litellm/issues/6856
* test(test_embedding.py): add test for passing extra headers via embedding
* feat(cohere/embed): pass client to async embedding
* feat(rerank.py): add `/v1/rerank` if missing for cohere base url
Closes https://github.com/BerriAI/litellm/issues/6844
* fix(main.py): pass extra_headers param to openai
Fixes https://github.com/BerriAI/litellm/issues/6836
* fix(litellm_logging.py): don't disable global callbacks when dynamic callbacks are set
Fixes issue where global callbacks - e.g. prometheus were overriden when langfuse was set dynamically
* fix(handler.py): fix linting error
* fix: fix typing
* build: add conftest to proxy_admin_ui_tests/
* test: fix test
* fix: fix linting errors
* test: fix test
* fix: fix pass through testing
* Fix Vertex AI function calling invoke: use JSON format instead of protobuf text format. (#6702)
* test: test tool_call conversion when arguments is empty dict
Fixes https://github.com/BerriAI/litellm/issues/6833
* fix(openai_like/handler.py): return more descriptive error message
Fixes https://github.com/BerriAI/litellm/issues/6812
* test: skip overloaded model
* docs(anthropic.md): update anthropic docs to show how to route to any new model
* feat(groq/): fake stream when 'response_format' param is passed
Groq doesn't support streaming when response_format is set
* feat(groq/): add response_format support for groq
Closes https://github.com/BerriAI/litellm/issues/6845
* fix(o1_handler.py): remove fake streaming for o1
Closes https://github.com/BerriAI/litellm/issues/6801
* build(model_prices_and_context_window.json): add groq llama3.2b model pricing
Closes https://github.com/BerriAI/litellm/issues/6807
* fix(utils.py): fix handling ollama response format param
Fixes https://github.com/BerriAI/litellm/issues/6848#issuecomment-2491215485
* docs(sidebars.js): refactor chat endpoint placement
* fix: fix linting errors
* test: fix test
* test: fix test
* fix(openai_like/handler): handle max retries
* fix(streaming_handler.py): fix streaming check for openai-compatible providers
* test: update test
* test: correctly handle model is overloaded error
* test: update test
* test: fix test
* test: mark flaky test
---------
Co-authored-by: Guowang Li <Guowang@users.noreply.github.com>
* feat(customer_endpoints.py): support passing budget duration via `/customer/new` endpoint
Closes https://github.com/BerriAI/litellm/issues/5651
* docs: add missing params to swagger + api documentation test
* docs: add documentation for all key endpoints
documents all params on swagger
* docs(internal_user_endpoints.py): document all /user/new params
Ensures all params are documented
* docs(team_endpoints.py): add missing documentation for team endpoints
Ensures 100% param documentation on swagger
* docs(organization_endpoints.py): document all org params
Adds documentation for all params in org endpoint
* docs(customer_endpoints.py): add coverage for all params on /customer endpoints
ensures all /customer/* params are documented
* ci(config.yml): add endpoint doc testing to ci/cd
* fix: fix internal_user_endpoints.py
* fix(internal_user_endpoints.py): support 'duration' param
* fix(partner_models/main.py): fix anthropic re-raise exception on vertex
* fix: fix pydantic obj
* build(model_prices_and_context_window.json): add new vertex claude model names
vertex claude changed model names - causes cost tracking errors
* fix(anthropic/chat/transformation.py): add json schema as values: json_schema
fixes passing pydantic obj to anthropic
Fixes https://github.com/BerriAI/litellm/issues/6766
* (feat): Add timestamp_granularities parameter to transcription API (#6457)
* Add timestamp_granularities parameter to transcription API
* add param to the local test
* fix(databricks/chat.py): handle max_retries optional param handling for openai-like calls
Fixes issue with calling finetuned vertex ai models via databricks route
* build(ui/): add team admins via proxy ui
* fix: fix linting error
* test: fix test
* docs(vertex.md): refactor docs
* test: handle overloaded anthropic model error
* test: remove duplicate test
* test: fix test
* test: update test to handle model overloaded error
---------
Co-authored-by: Show <35062952+BrunooShow@users.noreply.github.com>
* fix azure exceptions
* test_bad_request_error_contains_httpx_response
* test_bad_request_error_contains_httpx_response
* use safe access to get exception response
* fix get attr
* fix(ollama.py): fix get model info request
Fixes https://github.com/BerriAI/litellm/issues/6703
* feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param
* docs(anthropic.md): document all supported openai params for anthropic
* test: fix tests
* fix: fix tests
* feat(jina_ai/): add rerank support
Closes https://github.com/BerriAI/litellm/issues/6691
* test: handle service unavailable error
* fix(handler.py): refactor together ai rerank call
* test: update test to handle overloaded error
* test: fix test
* Litellm router trace (#6742)
* feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks
* feat(router.py): log trace id across retry/fallback logic
allows grouping llm logs for the same request
* test: fix tests
* fix: fix test
* fix(transformation.py): only set non-none stop_sequences
* Litellm router disable fallbacks (#6743)
* bump: version 1.52.6 → 1.52.7
* feat(router.py): enable dynamically disabling fallbacks
Allows for enabling/disabling fallbacks per key
* feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key
* test: fix test
* fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error
* test: handle gemini error
* test: fix test
* fix: new run
* add SecretManager to httpxSpecialProvider
* fix importing AWSSecretsManagerV2
* add unit testing for writing keys to AWS secret manager
* use KeyManagementEventHooks for key/generated events
* us event hooks for key management endpoints
* working AWSSecretsManagerV2
* fix write secret to AWS secret manager on /key/generate
* fix KeyManagementSettings
* use tasks for key management hooks
* add async_delete_secret
* add test for async_delete_secret
* use _delete_virtual_keys_from_secret_manager
* fix test secret manager
* test_key_generate_with_secret_manager_call
* fix check for key_management_settings
* sync_read_secret
* test_aws_secret_manager
* fix sync_read_secret
* use helper to check when _should_read_secret_from_secret_manager
* test_get_secret_with_access_mode
* test - handle eol model claude-2, use claude-2.1 instead
* docs AWS secret manager
* fix test_read_nonexistent_secret
* fix test_supports_response_schema
* ci/cd run again
* fix(caching): convert arg to equivalent kwargs in llm caching handler
prevent unexpected errors
* fix(caching_handler.py): don't pass args to caching
* fix(caching): remove all *args from caching.py
* fix(caching): consistent function signatures + abc method
* test(caching_unit_tests.py): add unit tests for llm caching
ensures coverage for common caching scenarios across different implementations
* refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one
* fix(router.py): drop redis password requirement
* fix(proxy_server.py): fix faulty slack alerting check
* fix(langfuse.py): avoid copying functions/thread lock objects in metadata
fixes metadata copy error when parent otel span in metadata
* test: update test
* fix raise correct error on /key/info
* add not_found_error error
* fix key not found in DB error
* use 1 helper for checking token hash
* fix error code on key info
* fix test key gen prisma
* test_generate_and_call_key_info
* test fix test_call_with_valid_model_using_all_models
* fix key info tests
* add langsmith_api_key to StandardCallbackDynamicParams
* create a file for langsmith types
* langsmith add key / team based logging
* add key based logging for langsmith
* fix langsmith key based logging
* fix linting langsmith
* remove NOQA violation
* add unit test coverage for all helpers in test langsmith
* test_langsmith_key_based_logging
* docs langsmith key based logging
* run langsmith tests in logging callback tests
* fix logging testing
* test_langsmith_key_based_logging
* test_add_callback_via_key_litellm_pre_call_utils_langsmith
* add debug statement langsmith key based logging
* test_langsmith_key_based_logging
* fix(__init__.py): add 'watsonx_text' as mapped llm api route
Fixes https://github.com/BerriAI/litellm/issues/6663
* fix(opentelemetry.py): fix passing parallel tool calls to otel
Fixes https://github.com/BerriAI/litellm/issues/6677
* refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling
reduces bugs in repo
* fix(__init__.py): update provider-model mapping to include all known provider-model mappings
Fixes https://github.com/BerriAI/litellm/issues/6669
* feat(anthropic): support passing document in llm api call
* docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function
* fix(factory.py): fix linting error
* use CustomBatchLogger for GCS
* add GCS bucket logging type
* use batch logging for GCs bucket
* add gcs_bucket
* allow setting flush_interval on CustomBatchLogger
* set GCS_FLUSH_INTERVAL to 1s
* fix test_key_logging
* fix test_key_logging
* add docs on new env vars
