* fix use new format for Cohere config
* fix base llm http handler
* Litellm code qa common config (#7116)
* feat(base_llm): initial commit for common base config class
Addresses code qa critique https://github.com/andrewyng/aisuite/issues/113#issuecomment-2512369132
* feat(base_llm/): add transform request/response abstract methods to base config class
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* use base transform helpers
* use base_llm_http_handler for cohere
* working cohere using base llm handler
* add async cohere chat completion support on base handler
* fix completion code
* working sync cohere stream
* add async support cohere_chat
* fix types get_model_response_iterator
* async / sync tests cohere
* feat cohere using base llm class
* fix linting errors
* fix _abc error
* add cohere params to transformation
* remove old cohere file
* fix type error
* fix merge conflicts
* fix cohere merge conflicts
* fix linting error
* fix litellm.llms.custom_httpx.http_handler.HTTPHandler.post
* fix passing cohere specific params
---------
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* feat(base_llm): initial commit for common base config class
Addresses code qa critique https://github.com/andrewyng/aisuite/issues/113#issuecomment-2512369132
* feat(base_llm/): add transform request/response abstract methods to base config class
* feat(cohere-+-clarifai): refactor integrations to use common base config class
* fix: fix linting errors
* refactor(anthropic/): move anthropic + vertex anthropic to use base config
* test: fix xai test
* test: fix tests
* fix: fix linting errors
* test: comment out WIP test
* fix(transformation.py): fix is pdf used check
* fix: fix linting error
* fix(main.py): support passing max retries to azure/openai embedding integrations
Fixes https://github.com/BerriAI/litellm/issues/7003
* feat(team_endpoints.py): allow updating team model aliases
Closes https://github.com/BerriAI/litellm/issues/6956
* feat(router.py): allow specifying model id as fallback - skips any cooldown check
Allows a default model to be checked if all models in cooldown
s/o @micahjsmith
* docs(reliability.md): add fallback to specific model to docs
* fix(utils.py): new 'is_prompt_caching_valid_prompt' helper util
Allows user to identify if messages/tools have prompt caching
Related issue: https://github.com/BerriAI/litellm/issues/6784
* feat(router.py): store model id for prompt caching valid prompt
Allows routing to that model id on subsequent requests
* fix(router.py): only cache if prompt is valid prompt caching prompt
prevents storing unnecessary items in cache
* feat(router.py): support routing prompt caching enabled models to previous deployments
Closes https://github.com/BerriAI/litellm/issues/6784
* test: fix linting errors
* feat(databricks/): convert basemodel to dict and exclude none values
allow passing pydantic message to databricks
* fix(utils.py): ensure all chat completion messages are dict
* (feat) Track `custom_llm_provider` in LiteLLMSpendLogs (#7081)
* add custom_llm_provider to SpendLogsPayload
* add custom_llm_provider to SpendLogs
* add custom llm provider to SpendLogs payload
* test_spend_logs_payload
* Add MLflow to the side bar (#7031)
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
* (bug fix) SpendLogs update DB catch all possible DB errors for retrying (#7082)
* catch DB_CONNECTION_ERROR_TYPES
* fix DB retry mechanism for SpendLog updates
* use DB_CONNECTION_ERROR_TYPES in auth checks
* fix exp back off for writing SpendLogs
* use _raise_failed_update_spend_exception to ensure errors print as NON blocking
* test_update_spend_logs_multiple_batches_with_failure
* (Feat) Add StructuredOutputs support for Fireworks.AI (#7085)
* fix model cost map fireworks ai "supports_response_schema": true,
* fix supports_response_schema
* fix map openai params fireworks ai
* test_map_response_format
* test_map_response_format
* added deepinfra/Meta-Llama-3.1-405B-Instruct (#7084)
* bump: version 1.53.9 → 1.54.0
* fix deepinfra
* litellm db fixes LiteLLM_UserTable (#7089)
* ci/cd queue new release
* fix llama-3.3-70b-versatile
* refactor - use consistent file naming convention `AI21/` -> `ai21` (#7090)
* fix refactor - use consistent file naming convention
* ci/cd run again
* fix naming structure
* fix use consistent naming (#7092)
---------
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com>
Co-authored-by: ali sayyah <ali.sayyah2@gmail.com>
* fix(edit_budget_modal.tsx): call `/budget/update` endpoint instead of `/budget/new`
allows updating existing budget on ui
* fix(user_api_key_auth.py): support cost tracking for end user via jwt field
* fix(presidio.py): support pii masking on sync logging callbacks
enables masking before logging to langfuse
* feat(utils.py): support retry policy logic inside '.completion()'
Fixes https://github.com/BerriAI/litellm/issues/6623
* fix(utils.py): support retry by retry policy on async logic as well
* fix(handle_jwt.py): set leeway default leeway value
* test: fix test to handle jwt audience claim
* fix(cost_calculator.py): move to using `.get_model_info()` for cost per token calculations
ensures cost tracking is reliable - handles edge cases of parsing model cost map
* build(model_prices_and_context_window.json): add 'supports_response_schema' for select tgai models
Fixes https://github.com/BerriAI/litellm/pull/7037#discussion_r1872157329
* build(model_prices_and_context_window.json): remove 'pdf input' and 'vision' support from nova micro in model map
Bedrock docs indicate no support for micro - https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html
* fix(converse_transformation.py): support amazon nova tool use
* fix(opentelemetry): Add missing LLM request type attribute to spans (#7041)
* feat(opentelemetry): add LLM request type attribute to spans
* lint
* fix: curl usage (#7038)
curl -d, --data <data> is lowercase d
curl -D, --dump-header <filename> is uppercase D
references:
https://curl.se/docs/manpage.html#-dhttps://curl.se/docs/manpage.html#-D
* fix(spend_tracking.py): handle empty 'id' in model response - when creating spend log
Fixes https://github.com/BerriAI/litellm/issues/7023
* fix(streaming_chunk_builder.py): handle initial id being empty string
Fixes https://github.com/BerriAI/litellm/issues/7023
* fix(anthropic_passthrough_logging_handler.py): add end user cost tracking for anthropic pass through endpoint
* docs(pass_through/): refactor docs location + add table on supported features for pass through endpoints
* feat(anthropic_passthrough_logging_handler.py): support end user cost tracking via anthropic sdk
* docs(anthropic_completion.md): add docs on passing end user param for cost tracking on anthropic sdk
* fix(litellm_logging.py): use standard logging payload if present in kwargs
prevent datadog logging error for pass through endpoints
* docs(bedrock.md): add rerank api usage example to docs
* bugfix/change dummy tool name format (#7053)
* fix viewing keys (#7042)
* ui new build
* build(model_prices_and_context_window.json): add bedrock region models to model cost map (#7044)
* bye (#6982)
* (fix) litellm router.aspeech (#6962)
* doc Migrating Databases
* fix aspeech on router
* test_audio_speech_router
* test_audio_speech_router
* docs show supported providers on batches api doc
* change dummy tool name format
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
* fix: fix linting errors
* test: update test
* fix(litellm_logging.py): fix pass through check
* fix(test_otel_logging.py): fix test
* fix(cost_calculator.py): update handling for cost per second
* fix(cost_calculator.py): fix cost check
* test: fix test
* (fix) adding public routes when using custom header (#7045)
* get_api_key_from_custom_header
* add test_get_api_key_from_custom_header
* fix testing use 1 file for test user api key auth
* fix test user api key auth
* test_custom_api_key_header_name
* build: update ui build
---------
Co-authored-by: Doron Kopit <83537683+doronkopit5@users.noreply.github.com>
Co-authored-by: lloydchang <lloydchang@gmail.com>
Co-authored-by: hgulersen <haymigulersen@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
* get_api_key_from_custom_header
* add test_get_api_key_from_custom_header
* fix testing use 1 file for test user api key auth
* fix test user api key auth
* test_custom_api_key_header_name
* fix(together_ai/chat): only return response_format + tools for supported models
Fixes https://github.com/BerriAI/litellm/issues/6972
* feat(bedrock/rerank): initial working commit for bedrock rerank api support
Closes https://github.com/BerriAI/litellm/issues/7021
* feat(bedrock/rerank): async bedrock rerank api support
Addresses https://github.com/BerriAI/litellm/issues/7021
* build(model_prices_and_context_window.json): add 'supports_prompt_caching' for bedrock models + cleanup cross-region from model list (duplicate information - lead to inconsistencies )
* docs(json_mode.md): clarify model support for json schema
Closes https://github.com/BerriAI/litellm/issues/6998
* fix(_service_logger.py): handle dd callback in list
ensure failed spend tracking is logged to datadog
* feat(converse_transformation.py): translate from anthropic format to bedrock format
Closes https://github.com/BerriAI/litellm/issues/7030
* fix: fix linting errors
* test: fix test
* fix(key_management_endpoints.py): override metadata field value on update
allow user to override tags
* feat(__init__.py): expose new disable_end_user_cost_tracking_prometheus_only metric
allow disabling end user cost tracking on prometheus - fixes cardinality issue
* fix(litellm_pre_call_utils.py): add key/team level enforced params
Fixes https://github.com/BerriAI/litellm/issues/6652
* fix(key_management_endpoints.py): allow user to pass in `enforced_params` as a top level param on /key/generate and /key/update
* docs(enterprise.md): add docs on enforcing required params for llm requests
* Add support of Galadriel API (#7005)
* fix(router.py): robust retry after handling
set retry after time to 0 if >0 healthy deployments. handle base case = 1 deployment
* test(test_router.py): fix test
* feat(bedrock/): add support for 'nova' models
also adds explicit 'converse/' route for simpler routing
* fix: fix 'supports_pdf_input'
return if model supports pdf input on get_model_info
* feat(converse_transformation.py): support bedrock pdf input
* docs(document_understanding.md): add document understanding to docs
* fix(litellm_pre_call_utils.py): fix linting error
* fix(init.py): fix passing of bedrock converse models
* feat(bedrock/converse): support 'response_format={"type": "json_object"}'
* fix(converse_handler.py): fix linting error
* fix(base_llm_unit_tests.py): fix test
* fix: fix test
* test: fix test
* test: fix test
* test: remove duplicate test
---------
Co-authored-by: h4n0 <4738254+h4n0@users.noreply.github.com>
* add the logprobs param for fireworks ai (#6915)
* add the logprobs param for fireworks ai
* (feat) pass through llm endpoints - add `PATCH` support (vertex context caching requires for update ops) (#6924)
* add PATCH for pass through endpoints
* test_pass_through_routes_support_all_methods
* sonnet supports pdf, haiku does not (#6928)
* (feat) DataDog Logger - Add Failure logging + use Standard Logging payload (#6929)
* 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
* (feat) log proxy auth errors on datadog (#6931)
* add new dd type for auth errors
* add async_log_proxy_authentication_errors
* fix comment
* use async_log_proxy_authentication_errors
* test_datadog_post_call_failure_hook
* test_async_log_proxy_authentication_errors
* (feat) Allow using include to include external YAML files in a config.yaml (#6922)
* add helper to process inlcudes directive on yaml
* add doc on config management
* unit tests for `include` on config.yaml
* bump: version 1.52.16 → 1.53.
* (feat) dd logger - set tags according to the values set by those env vars (#6933)
* dd logger, inherit from .envs
* test_datadog_payload_environment_variables
* fix _get_datadog_service
* build(ui/): update ui build
* bump: version 1.53.0 → 1.53.1
* Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)"
This reverts commit 68e59824a3.
* LiteLLM Minor Fixes & Improvements (11/26/2024) (#6913)
* 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
* LiteLLM Minor Fixes & Improvements (11/27/2024) (#6943)
* fix(http_parsing_utils.py): remove `ast.literal_eval()` from http utils
Security fix - https://huntr.com/bounties/96a32812-213c-4819-ba4e-36143d35e95b?token=bf414bbd77f8b346556e
64ab2dd9301ea44339910877ea50401c76f977e36cdd78272f5fb4ca852a88a7e832828aae1192df98680544ee24aa98f3cf6980d8
bab641a66b7ccbc02c0e7d4ddba2db4dbe7318889dc0098d8db2d639f345f574159814627bb084563bad472e2f990f825bff0878a9
e281e72c88b4bc5884d637d186c0d67c9987c57c3f0caf395aff07b89ad2b7220d1dd7d1b427fd2260b5f01090efce5250f8b56ea2
c0ec19916c24b23825d85ce119911275944c840a1340d69e23ca6a462da610
* fix(converse/transformation.py): support bedrock apac cross region inference
Fixes https://github.com/BerriAI/litellm/issues/6905
* fix(user_api_key_auth.py): add auth check for websocket endpoint
Fixes https://github.com/BerriAI/litellm/issues/6926
* fix(user_api_key_auth.py): use `model` from query param
* fix: fix linting error
* test: run flaky tests first
* docs: update the docs (#6923)
* (bug fix) /key/update was not storing `budget_duration` in the DB (#6941)
* fix - store budget_duration for keys
* test_generate_and_update_key
* test_update_user_unit_test
* fix user update
* (fix) handle json decode errors for DD exception logging (#6934)
* fix JSONDecodeError
* handle async_log_proxy_authentication_errors
* fix test_async_log_proxy_authentication_errors_get_request
* Revert "Revert "(feat) Allow using include to include external YAML files in a config.yaml (#6922)""
This reverts commit 5d13302e6b.
* (docs + fix) Add docs on Moderations endpoint, Text Completion (#6947)
* fix _pass_through_moderation_endpoint_factory
* fix route_llm_request
* doc moderations api
* docs on /moderations
* add e2e tests for moderations api
* docs moderations api
* test_pass_through_moderation_endpoint_factory
* docs text completion
* (feat) add enforcement for unique key aliases on /key/update and /key/generate (#6944)
* add enforcement for unique key aliases
* fix _enforce_unique_key_alias
* fix _enforce_unique_key_alias
* fix _enforce_unique_key_alias
* test_enforce_unique_key_alias
* (fix) tag merging / aggregation logic (#6932)
* use 1 helper to merge tags + ensure unique ness
* test_add_litellm_data_to_request_duplicate_tags
* fix _merge_tags
* fix proxy utils test
* fix doc string
* (feat) Allow disabling ErrorLogs written to the DB (#6940)
* fix - allow disabling logging error logs
* docs on disabling error logs
* doc string for _PROXY_failure_handler
* test_disable_error_logs
* rename file
* fix rename file
* increase test coverage for test_enable_error_logs
* fix(key_management_endpoints.py): support 'tags' param on `/key/update` (#6945)
* LiteLLM Minor Fixes & Improvements (11/29/2024) (#6965)
* 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
* bump: version 1.53.1 → 1.53.2
* Updated config.yml
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
* fix(exceptions.py): ensure ratelimit error code == 429, type == "throttling_error"
Fixes https://github.com/BerriAI/litellm/pull/6973
* fix(utils.py): add jina ai dimensions embedding param support
Fixes https://github.com/BerriAI/litellm/issues/6591
* fix(exception_mapping_utils.py): add bedrock 'prompt is too long' exception to context window exceeded error exception mapping
Fixes https://github.com/BerriAI/litellm/issues/6629
Closes https://github.com/BerriAI/litellm/pull/6975
* fix(litellm_logging.py): strip trailing slash for api base
Closes https://github.com/BerriAI/litellm/pull/6859
* test: skip timeout issue
---------
Co-authored-by: ershang-dou <erlie.shang@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
Co-authored-by: Sara Han <127759186+sdiazlor@users.noreply.github.com>
* 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
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Co-authored-by: Show <35062952+BrunooShow@users.noreply.github.com>
