* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* fix use failing_model as cache key for failed_tracking_alert
* fix use standard logging payload for getting response cost
* fix kwargs.get("response_cost")
* fix getting response cost
* feat(proxy_server.py): check if views exist on proxy server startup + refactor startup event logic to <50 LOC
* refactor(redis_cache.py): use a default cache value when writing to r… (#6358)
* refactor(redis_cache.py): use a default cache value when writing to redis
prevent redis from blowing up in high traffic
* refactor(redis_cache.py): refactor all cache writes to use self.get_ttl
ensures default ttl always used when writing to redis
Prevents redis db from blowing up in prod
* feat(proxy_cli.py): add new 'log_config' cli param (#6352)
* feat(proxy_cli.py): add new 'log_config' cli param
Allows passing logging.conf to uvicorn on startup
* docs(cli.md): add logging conf to uvicorn cli docs
* fix(get_llm_provider_logic.py): fix default api base for litellm_proxy
Fixes https://github.com/BerriAI/litellm/issues/6332
* feat(openai_like/embedding): Add support for jina ai embeddings
Closes https://github.com/BerriAI/litellm/issues/6337
* docs(deploy.md): update entrypoint.sh filepath post-refactor
Fixes outdated docs
* feat(prometheus.py): emit time_to_first_token metric on prometheus
Closes https://github.com/BerriAI/litellm/issues/6334
* fix(prometheus.py): only emit time to first token metric if stream is True
enables more accurate ttft usage
* test: handle vertex api instability
* fix(get_llm_provider_logic.py): fix import
* fix(openai.py): fix deepinfra default api base
* fix(anthropic/transformation.py): remove anthropic beta header (#6361)
* docs(sidebars.js): add jina ai embedding to docs
* docs(sidebars.js): add jina ai to left nav
* bump: version 1.50.1 → 1.50.2
* langfuse use helper for get_langfuse_logging_config
* Refactor: apply early return (#6369)
* (refactor) remove berrispendLogger - unused logging integration (#6363)
* fix remove berrispendLogger
* remove unused clickhouse logger
* fix docs configs.md
* (fix) standard logging metadata + add unit testing (#6366)
* fix setting StandardLoggingMetadata
* add unit testing for standard logging metadata
* fix otel logging test
* fix linting
* fix typing
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
* add new 35 mode lcard (#6378)
* Add claude 3 5 sonnet 20241022 models for all provides (#6380)
* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.
* added anthropic/claude-3-5-sonnet-20241022
* add new 35 mode lcard
---------
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>
* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working
* test(test_alangfuse.py): handle flaky langfuse test better
* (feat) Arize - Allow using Arize HTTP endpoint (#6364)
* arize use helper for get_arize_opentelemetry_config
* use helper to get Arize OTEL config
* arize add helpers for arize
* docs allow using arize http endpoint
* fix importing OTEL for Arize
* use static methods for ArizeLogger
* fix ArizeLogger tests
* Litellm dev 10 22 2024 (#6384)
* fix(utils.py): add 'disallowed_special' for token counting on .encode()
Fixes error when '<
endoftext
>' in string
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit 8359cb6fa9.
* add new 35 mode lcard (#6378)
* Add claude 3 5 sonnet 20241022 models for all provides (#6380)
* Add Claude 3.5 v2 on Amazon Bedrock and Vertex AI.
* added anthropic/claude-3-5-sonnet-20241022
* add new 35 mode lcard
---------
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: lowjiansheng <15527690+lowjiansheng@users.noreply.github.com>
* test(skip-flaky-google-context-caching-test): google is not reliable. their sample code is also not working
* Fix metadata being overwritten in speech() (#6295)
* fix: adding missing redis cluster kwargs (#6318)
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
* Add support for `max_completion_tokens` in Azure OpenAI (#6376)
Now that Azure supports `max_completion_tokens`, no need for special handling for this param and let it pass thru. More details: https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models?tabs=python-secure#api-support
* build(model_prices_and_context_window.json): add voyage-finance-2 pricing
Closes https://github.com/BerriAI/litellm/issues/6371
* build(model_prices_and_context_window.json): fix llama3.1 pricing model name on map
Closes https://github.com/BerriAI/litellm/issues/6310
* feat(realtime_streaming.py): just log specific events
Closes https://github.com/BerriAI/litellm/issues/6267
* fix(utils.py): more robust checking if unmapped vertex anthropic model belongs to that family of models
Fixes https://github.com/BerriAI/litellm/issues/6383
* Fix Ollama stream handling for tool calls with None content (#6155)
* test(test_max_completions): update test now that azure supports 'max_completion_tokens'
* fix(handler.py): fix linting error
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
* bump: version 1.50.2 → 1.50.3
* build(deps): bump http-proxy-middleware in /docs/my-website (#6395)
Bumps [http-proxy-middleware](https://github.com/chimurai/http-proxy-middleware) from 2.0.6 to 2.0.7.
- [Release notes](https://github.com/chimurai/http-proxy-middleware/releases)
- [Changelog](https://github.com/chimurai/http-proxy-middleware/blob/v2.0.7/CHANGELOG.md)
- [Commits](https://github.com/chimurai/http-proxy-middleware/compare/v2.0.6...v2.0.7)
---
updated-dependencies:
- dependency-name: http-proxy-middleware
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* (docs + testing) Correctly document the timeout value used by litellm proxy is 6000 seconds + add to best practices for prod (#6339)
* fix docs use documented timeout
* document request timeout
* add test for litellm.request_timeout
* add test for checking value of timeout
* (refactor) move convert dict to model response to llm_response_utils/ (#6393)
* refactor move convert dict to model response
* fix imports
* fix import _handle_invalid_parallel_tool_calls
* (refactor) litellm.Router client initialization utils (#6394)
* refactor InitalizeOpenAISDKClient
* use helper func for _should_create_openai_sdk_client_for_model
* use static methods for set client on litellm router
* reduce LOC in _get_client_initialization_params
* fix _should_create_openai_sdk_client_for_model
* code quality fix
* test test_should_create_openai_sdk_client_for_model
* test test_get_client_initialization_params_openai
* fix mypy linting errors
* fix OpenAISDKClientInitializationParams
* test_get_client_initialization_params_all_env_vars
* test_get_client_initialization_params_azure_ai_studio_mistral
* test_get_client_initialization_params_default_values
* fix _get_client_initialization_params
* (fix) Langfuse key based logging (#6372)
* langfuse use helper for get_langfuse_logging_config
* fix get_langfuse_logger_for_request
* fix import
* fix get_langfuse_logger_for_request
* test_get_langfuse_logger_for_request_with_dynamic_params
* unit testing for test_get_langfuse_logger_for_request_with_no_dynamic_params
* parameterized langfuse testing
* fix langfuse test
* fix langfuse logging
* fix test_aaalangfuse_logging_metadata
* fix langfuse log metadata test
* fix langfuse logger
* use create_langfuse_logger_from_credentials
* fix test_get_langfuse_logger_for_request_with_no_dynamic_params
* fix correct langfuse/ folder structure
* use static methods for langfuse logger
* add commment on langfuse handler
* fix linting error
* add unit testing for langfuse logging
* fix linting
* fix failure handler langfuse
* Revert "(refactor) litellm.Router client initialization utils (#6394)" (#6403)
This reverts commit b70147f63b.
* def test_text_completion_with_echo(stream): (#6401)
test
* fix linting - remove # noqa PLR0915 from fixed function
* test: cleanup codestral tests - backend api unavailable
* (refactor) prometheus async_log_success_event to be under 100 LOC (#6416)
* unit testig for prometheus
* unit testing for success metrics
* use 1 helper for _increment_token_metrics
* use helper for _increment_remaining_budget_metrics
* use _increment_remaining_budget_metrics
* use _increment_top_level_request_and_spend_metrics
* use helper for _set_latency_metrics
* remove noqa violation
* fix test prometheus
* test prometheus
* unit testing for all prometheus helper functions
* fix prom unit tests
* fix unit tests prometheus
* fix unit test prom
* (refactor) router - use static methods for client init utils (#6420)
* use InitalizeOpenAISDKClient
* use InitalizeOpenAISDKClient static method
* fix # noqa: PLR0915
* (code cleanup) remove unused and undocumented logging integrations - litedebugger, berrispend (#6406)
* code cleanup remove unused and undocumented code files
* fix unused logging integrations cleanup
* bump: version 1.50.3 → 1.50.4
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Hakan Taşköprü <Haknt@users.noreply.github.com>
Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
Co-authored-by: Paul Gauthier <paul@paulg.com>
Co-authored-by: John HU <hszqqq12@gmail.com>
Co-authored-by: Ali Arian <113945203+ali-arian@users.noreply.github.com>
Co-authored-by: Ali Arian <ali.arian@breadfinancial.com>
Co-authored-by: Anand Taralika <46954145+taralika@users.noreply.github.com>
Co-authored-by: Nolan Tremelling <34580718+NolanTrem@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* feat(custom_logger.py): expose new `async_dataset_hook` for modifying/rejecting argilla items before logging
Allows user more control on what gets logged to argilla for annotations
* feat(google_ai_studio_endpoints.py): add new `/azure/*` pass through route
enables pass-through for azure provider
* feat(utils.py): support checking ollama `/api/show` endpoint for retrieving ollama model info
Fixes https://github.com/BerriAI/litellm/issues/6322
* fix(user_api_key_auth.py): add `/key/delete` to an allowed_ui_routes
Fixes https://github.com/BerriAI/litellm/issues/6236
* fix(user_api_key_auth.py): remove type ignore
* fix(user_api_key_auth.py): route ui vs. api token checks differently
Fixes https://github.com/BerriAI/litellm/issues/6238
* feat(internal_user_endpoints.py): support setting models as a default internal user param
Closes https://github.com/BerriAI/litellm/issues/6239
* fix(user_api_key_auth.py): fix exception string
* fix(user_api_key_auth.py): fix error string
* fix: fix test
* add check for os.environ vars when readin config.yaml
* use base class for reading from config.yaml
* fix import
* fix linting
* add unit tests for base config class
* fix order of reading elements from config.yaml
* unit tests for reading configs from files
* fix user_config_file_path
* use simpler implementation
* use helper to get_config
* working unit tests for reading configs
* track LiteLLM_OrganizationMembership
* add add_internal_user_to_organization
* add org membership to schema
* read organization membership when reading user info in auth checks
* add check for valid organization_id
* add test for test_create_new_user_in_organization
* test test_create_new_user_in_organization
* add new ADMIN role
* add test for org admins creating teams
* add test for test_org_admin_create_user_permissions
* test_org_admin_create_user_team_wrong_org_permissions
* test_org_admin_create_user_team_wrong_org_permissions
* fix organization_role_based_access_check
* fix getting user members
* fix TeamBase
* fix types used for use role
* fix type checks
* sync prisma schema
* docs - organization admins
* fix use organization_endpoints for /organization management
* add types for org member endpoints
* fix role name for org admin
* add type for member add response
* add organization/member_add
* add error handling for adding members to an org
* add nice doc string for oranization/member_add
* fix test_create_new_user_in_organization
* linting fix
* use simple route changes
* fix types
* add organization member roles
* add org admin auth checks
* add auth checks for orgs
* test for creating teams as org admin
* simplify org id usage
* fix typo
* test test_org_admin_create_user_team_wrong_org_permissions
* fix type check issue
* code quality fix
* fix schema.prisma
* feat(azure/realtime): initial working commit for proxy azure openai realtime endpoint support
Adds support for passing /v1/realtime calls via litellm proxy
* feat(realtime_api/main.py): abstraction for handling openai realtime api calls
* feat(router.py): add `arealtime()` endpoint in router for realtime api calls
Allows using `model_list` in proxy for realtime as well
* fix: make realtime api a private function
Structure might change based on feedback. Make that clear to users.
* build(requirements.txt): add websockets to the requirements.txt
* feat(openai/realtime): add openai /v1/realtime api support
* LiteLLM Minor Fixes & Improvements (09/26/2024) (#5925)
* fix(litellm_logging.py): don't initialize prometheus_logger if non premium user
Prevents bad error messages in logs
Fixes https://github.com/BerriAI/litellm/issues/5897
* Add Support for Custom Providers in Vision and Function Call Utils (#5688)
* Add Support for Custom Providers in Vision and Function Call Utils Lookup
* Remove parallel function call due to missing model info param
* Add Unit Tests for Vision and Function Call Changes
* fix-#5920: set header value to string to fix "'int' object has no att… (#5922)
* LiteLLM Minor Fixes & Improvements (09/24/2024) (#5880)
* LiteLLM Minor Fixes & Improvements (09/23/2024) (#5842)
* feat(auth_utils.py): enable admin to allow client-side credentials to be passed
Makes it easier for devs to experiment with finetuned fireworks ai models
* feat(router.py): allow setting configurable_clientside_auth_params for a model
Closes https://github.com/BerriAI/litellm/issues/5843
* build(model_prices_and_context_window.json): fix anthropic claude-3-5-sonnet max output token limit
Fixes https://github.com/BerriAI/litellm/issues/5850
* fix(azure_ai/): support content list for azure ai
Fixes https://github.com/BerriAI/litellm/issues/4237
* fix(litellm_logging.py): always set saved_cache_cost
Set to 0 by default
* fix(fireworks_ai/cost_calculator.py): add fireworks ai default pricing
handles calling 405b+ size models
* fix(slack_alerting.py): fix error alerting for failed spend tracking
Fixes regression with slack alerting error monitoring
* fix(vertex_and_google_ai_studio_gemini.py): handle gemini no candidates in streaming chunk error
* docs(bedrock.md): add llama3-1 models
* test: fix tests
* fix(azure_ai/chat): fix transformation for azure ai calls
* feat(azure_ai/embed): Add azure ai embeddings support
Closes https://github.com/BerriAI/litellm/issues/5861
* fix(azure_ai/embed): enable async embedding
* feat(azure_ai/embed): support azure ai multimodal embeddings
* fix(azure_ai/embed): support async multi modal embeddings
* feat(together_ai/embed): support together ai embedding calls
* feat(rerank/main.py): log source documents for rerank endpoints to langfuse
improves rerank endpoint logging
* fix(langfuse.py): support logging `/audio/speech` input to langfuse
* test(test_embedding.py): fix test
* test(test_completion_cost.py): fix helper util
* fix-#5920: set header value to string to fix "'int' object has no attribute 'encode'"
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* Revert "fix-#5920: set header value to string to fix "'int' object has no att…" (#5926)
This reverts commit a554ae2695.
* build(model_prices_and_context_window.json): add azure ai cohere rerank model pricing
Enables cost tracking for azure ai cohere rerank models
* fix(litellm_logging.py): fix debug log to be clearer
Closes https://github.com/BerriAI/litellm/issues/5909
* test(test_utils.py): fix test name
* fix(azure_ai/cost_calculator.py): support cost tracking for azure ai rerank models
* fix(azure_ai): fix azure ai base model cost tracking for rerank endpoints
* fix(converse_handler.py): support new llama 3-2 models
Fixes https://github.com/BerriAI/litellm/issues/5901
* fix(litellm_logging.py): ensure response is redacted for standard message logging
Fixes https://github.com/BerriAI/litellm/issues/5890#issuecomment-2378242360
* fix(cost_calculator.py): use 'get_model_info' for cohere rerank cost calculation
allows user to set custom cost for model
* fix(config.yml): fix docker hub auht
* build(config.yml): add docker auth to all tests
* fix(db/create_views.py): fix linting error
* fix(main.py): fix circular import
* fix(azure_ai/__init__.py): fix circular import
* fix(main.py): fix import
* fix: fix linting errors
* test: fix test
* fix(proxy_server.py): pass premium user value on startup
used for prometheus init
---------
Co-authored-by: Cole Murray <colemurray.cs@gmail.com>
Co-authored-by: bravomark <62681807+bravomark@users.noreply.github.com>
* handle streaming for azure ai studio error
* [Perf Proxy] parallel request limiter - use one cache update call (#5932)
* fix parallel request limiter - use one cache update call
* ci/cd run again
* run ci/cd again
* use docker username password
* fix config.yml
* fix config
* fix config
* fix config.yml
* ci/cd run again
* use correct typing for batch set cache
* fix async_set_cache_pipeline
* fix only check user id tpm / rpm limits when limits set
* fix test_openai_azure_embedding_with_oidc_and_cf
* test: fix test
* test(test_rerank.py): fix test
---------
Co-authored-by: Cole Murray <colemurray.cs@gmail.com>
Co-authored-by: bravomark <62681807+bravomark@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* feat(litellm_logging.py): update standard logging payload to include debug information for cost failures
Also includes fixes for cohere rerank cost tracking + databricks llama2 model cost tracking
Easier to repro cost failures and improve reliability in prod
* fix(proxy_server.py): emit cost failure debug info for slack alerting
Improves debug information for cost tracking failures, on slack alerting
* add test for using images with custom openai endpoints
* run all otel tests
* update name of test
* add custom openai model to test config
* add test for setting supports_vision=True for model
* fix test guardrails aporia
* docs supports vison
* fix yaml
* fix yaml
* docs supports vision
* fix bedrock guardrail test
* fix cohere rerank test
* update model_group doc string
* add better prints on test
* fix(vertex_llm_base.py): Handle api_base = ""
Fixes https://github.com/BerriAI/litellm/issues/5798
* fix(o1_transformation.py): handle stream_options not being supported
https://github.com/BerriAI/litellm/issues/5803
* docs(routing.md): fix docs
Closes https://github.com/BerriAI/litellm/issues/5808
* perf(internal_user_endpoints.py): reduce db calls for getting team_alias for a key
Use the list gotten earlier in `/user/info` endpoint
Reduces ui keys tab load time to 800ms (prev. 28s+)
* feat(proxy_server.py): support CONFIG_FILE_PATH as env var
Closes https://github.com/BerriAI/litellm/issues/5744
* feat(get_llm_provider_logic.py): add `litellm_proxy/` as a known openai-compatible route
simplifies calling litellm proxy
Reduces confusion when calling models on litellm proxy from litellm sdk
* docs(litellm_proxy.md): cleanup docs
* fix(internal_user_endpoints.py): fix pydantic obj
* test(test_key_generate_prisma.py): fix test
* fix(model_prices_and_context_window.json): add cost tracking for more vertex llama3.1 model
8b and 70b models
* fix(proxy/utils.py): handle data being none on pre-call hooks
* fix(proxy/): create views on initial proxy startup
fixes base case, where user starts proxy for first time
Fixes https://github.com/BerriAI/litellm/issues/5756
* build(config.yml): fix vertex version for test
* feat(ui/): support enabling/disabling slack alerting
Allows admin to turn on/off slack alerting through ui
* feat(rerank/main.py): support langfuse logging
* fix(proxy/utils.py): fix linting errors
* fix(langfuse.py): log clean metadata
* test(tests): replace deprecated openai model
* fix(proxy_server.py): use default azure credentials to support azure non-client secret kms
* fix(langsmith.py): raise error if credentials missing
* feat(langsmith.py): support error logging for langsmith + standard logging payload
Fixes https://github.com/BerriAI/litellm/issues/5738
* Fix hardcoding of schema in view check (#5749)
* fix - deal with case when check view exists returns None (#5740)
* Revert "fix - deal with case when check view exists returns None (#5740)" (#5741)
This reverts commit 535228159b.
* test(test_router_debug_logs.py): move to mock response
* Fix hardcoding of schema
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
* fix(proxy_server.py): allow admin to disable ui via `DISABLE_ADMIN_UI` flag
* fix(router.py): fix default model name value
Fixes 55db19a1e4 (r1763712148)
* fix(utils.py): fix unbound variable error
* feat(rerank/main.py): add azure ai rerank endpoints
Closes https://github.com/BerriAI/litellm/issues/5667
* feat(secret_detection.py): Allow configuring secret detection params
Allows admin to control what plugins to run for secret detection. Prevents overzealous secret detection.
* docs(secret_detection.md): add secret detection guardrail docs
* fix: fix linting errors
* fix - deal with case when check view exists returns None (#5740)
* Revert "fix - deal with case when check view exists returns None (#5740)" (#5741)
This reverts commit 535228159b.
* Litellm fix router testing (#5748)
* test: fix testing - azure changed content policy error logic
* test: fix tests to use mock responses
* test(test_image_generation.py): handle api instability
* test(test_image_generation.py): handle azure api instability
* fix(utils.py): fix unbounded variable error
* fix(utils.py): fix unbounded variable error
* test: refactor test to use mock response
* test: mark flaky azure tests
* Bump next from 14.1.1 to 14.2.10 in /ui/litellm-dashboard (#5753)
Bumps [next](https://github.com/vercel/next.js) from 14.1.1 to 14.2.10.
- [Release notes](https://github.com/vercel/next.js/releases)
- [Changelog](https://github.com/vercel/next.js/blob/canary/release.js)
- [Commits](https://github.com/vercel/next.js/compare/v14.1.1...v14.2.10)
---
updated-dependencies:
- dependency-name: next
dependency-type: direct:production
...
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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* [Fix] o1-mini causes pydantic warnings on `reasoning_tokens` (#5754)
* add requester_metadata in standard logging payload
* log requester_metadata in metadata
* use StandardLoggingPayload for logging
* docs StandardLoggingPayload
* fix import
* include standard logging object in failure
* add test for requester metadata
* handle completion_tokens_details
* add test for completion_tokens_details
* [Feat-Proxy-DataDog] Log Redis, Postgres Failure events on DataDog (#5750)
* dd - start tracking redis status on dd
* add async_service_succes_hook / failure hook in custom logger
* add async_service_failure_hook
* log service failures on dd
* fix import error
* add test for redis errors / warning
* [Fix] Router/ Proxy - Tag Based routing, raise correct error when no deployments found and tag filtering is on (#5745)
* fix tag routing - raise correct error when no model with tag based routing
* fix error string from tag based routing
* test router tag based routing
* raise 401 error when no tags avialable for deploymen
* linting fix
* [Feat] Log Request metadata on gcs bucket logging (#5743)
* add requester_metadata in standard logging payload
* log requester_metadata in metadata
* use StandardLoggingPayload for logging
* docs StandardLoggingPayload
* fix import
* include standard logging object in failure
* add test for requester metadata
* fix(litellm_logging.py): fix logging message
* fix(rerank_api/main.py): fix linting errors
* fix(custom_guardrails.py): maintain backwards compatibility for older guardrails
* fix(rerank_api/main.py): fix cost tracking for rerank endpoints
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: steffen-sbt <148480574+steffen-sbt@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* fix(utils.py): return citations for perplexity streaming
Fixes https://github.com/BerriAI/litellm/issues/5535
* fix(anthropic/chat.py): support fallbacks for anthropic streaming (#5542)
* fix(anthropic/chat.py): support fallbacks for anthropic streaming
Fixes https://github.com/BerriAI/litellm/issues/5512
* fix(anthropic/chat.py): use module level http client if none given (prevents early client closure)
* fix: fix linting errors
* fix(http_handler.py): fix raise_for_status error handling
* test: retry flaky test
* fix otel type
* fix(bedrock/embed): fix error raising
* test(test_openai_batches_and_files.py): skip azure batches test (for now) quota exceeded
* fix(test_router.py): skip azure batch route test (for now) - hit batch quota limits
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Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* All `model_group_alias` should show up in `/models`, `/model/info` , `/model_group/info` (#5539)
* fix(router.py): support returning model_alias model names in `/v1/models`
* fix(proxy_server.py): support returning model alias'es on `/model/info`
* feat(router.py): support returning model group alias for `/model_group/info`
* fix(proxy_server.py): fix linting errors
* fix(proxy_server.py): fix linting errors
* build(model_prices_and_context_window.json): add amazon titan text premier pricing information
Closes https://github.com/BerriAI/litellm/issues/5560
* feat(litellm_logging.py): log standard logging response object for pass through endpoints. Allows bedrock /invoke agent calls to be correctly logged to langfuse + s3
* fix(success_handler.py): fix linting error
* fix(success_handler.py): fix linting errors
* fix(team_endpoints.py): Allows admin to update team member budgets
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
* fix(vertex_ai): Fixes issue where multimodal message without text was failing vertex calls
Fixes https://github.com/BerriAI/litellm/issues/5515
* fix(azure.py): move to using httphandler for oidc token calls
Fixes issue where ssl certificates weren't being picked up as expected
Closes https://github.com/BerriAI/litellm/issues/5522
* feat: Allows admin to set a default_max_internal_user_budget in config, and allow setting more specific values as env vars
* fix(proxy_server.py): fix read for max_internal_user_budget
* build(model_prices_and_context_window.json): add regional gpt-4o-2024-08-06 pricing
Closes https://github.com/BerriAI/litellm/issues/5540
* test: skip re-test
* Minor IAM AWS OIDC Improvements (#5246)
* AWS IAM: Temporary tokens are valid across all regions after being issued, so it is wasteful to request one for each region.
* AWS IAM: Include an inline policy, to help reduce misuse of overly permissive IAM roles.
* (test_bedrock_completion.py): Ensure we are testing cross AWS region OIDC flow.
* fix(router.py): log rejected requests
Fixes https://github.com/BerriAI/litellm/issues/5498
* refactor: don't use verbose_logger.exception, if exception is raised
User might already have handling for this. But alerting systems in prod will raise this as an unhandled error.
* fix(datadog.py): support setting datadog source as an env var
Fixes https://github.com/BerriAI/litellm/issues/5508
* docs(logging.md): add dd_source to datadog docs
* fix(proxy_server.py): expose `/customer/list` endpoint for showing all customers
* (bedrock): Fix usage with Cloudflare AI Gateway, and proxies in general. (#5509)
* feat(anthropic.py): support 'cache_control' param for content when it is a string
* Revert "(bedrock): Fix usage with Cloudflare AI Gateway, and proxies in gener…" (#5519)
This reverts commit 3fac0349c2.
* refactor: ci/cd run again
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Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
