* enforce prometheus as enterprise feature
* show correct error on prometheus metric when not enrterprise user
* docs promethues metrics enforced
* fix enforcing
* enforce prometheus as enterprise feature
* show correct error on prometheus metric when not enrterprise user
* docs promethues metrics enforced
* track requested model on prometheus
* docs prom metrics
* fix prom tracking failures
* fix(auth_checks.py): check if key has all model access via wildcard routing
Fixes issue where key with `openai/*` couldn't call gpt models
* fix(slack_alerting.py): expose flag for disabling failed spend tracking alerts
* 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
...
Signed-off-by: dependabot[bot] <support@github.com>
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>
* 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 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
* 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(aws_base_llm.py): prevents recreating boto3 credentials during high traffic
Leads to 100ms perf boost in local testing
* fix(base_aws_llm.py): fix credential caching check to see if token is set
* refactor(bedrock/chat): separate converse api and invoke api + isolate converse api transformation logic
Make it easier to see how requests are transformed for /converse
* fix: fix imports
* fix(bedrock/embed): fix reordering of headers
* fix(base_aws_llm.py): fix get credential logic
* fix(converse_handler.py): fix ai21 streaming response
* fix(health_check.py): hide sensitive keys from health check debug information k
* fix(route_llm_request.py): fix proxy model not found error message to indicate how to resolve issue
* fix(vertex_llm_base.py): fix exception message to not log credentials
* fix get model list
* fix test custom callback router
* fix embedding fallback test
* fix router retry policy on AuthErrors
* fix router test
* add test for single deployments no cooldown test prod
* add test test_single_deployment_no_cooldowns_test_prod_mock_completion_calls
* fix(proxy/utils.py): comment out auto-upsert logic in check_view_exists
Prevents proxy from failing on startup due to faulty logic
* fix(db/migration_scripts/create_views.py): fix 'DailyTagSpend' quotation on check
* fix(create_views.py): mongly global spend time period should be 30d not 20d
* fix(schema.prisma): index on startTime and endUser for efficient UI querying
* fix(caching.py): set ttl for async_increment cache
fixes issue where ttl for redis client was not being set on increment_cache
Fixes https://github.com/BerriAI/litellm/issues/5609
* fix(caching.py): fix increment cache w/ ttl for sync increment cache on redis
Fixes https://github.com/BerriAI/litellm/issues/5609
* fix(router.py): support adding retry policy + allowed fails policy via config.yaml
* fix(router.py): don't cooldown single deployments
No point, as there's no other deployment to loadbalance with.
* fix(user_api_key_auth.py): support setting allowed email domains on jwt tokens
Closes https://github.com/BerriAI/litellm/issues/5605
* docs(token_auth.md): add user upsert + allowed email domain to jwt auth docs
* fix(litellm_pre_call_utils.py): fix dynamic key logging when team id is set
Fixes issue where key logging would not be set if team metadata was not none
* fix(secret_managers/main.py): load environment variables correctly
Fixes issue where os.environ/ was not being loaded correctly
* test(test_router.py): fix test
* feat(spend_tracking_utils.py): support logging additional usage params - e.g. prompt caching values for deepseek
* test: fix tests
* test: fix test
* test: fix test
* test: fix test
* test: fix test
* fix(cost_calculator.py): move to debug for noisy warning message on cost calculation error
Fixes https://github.com/BerriAI/litellm/issues/5610
* fix(databricks/cost_calculator.py): Handles model name issues for databricks models
* fix(main.py): fix stream chunk builder for multiple tool calls
Fixes https://github.com/BerriAI/litellm/issues/5591
* fix: correctly set user_alias when passed in
Fixes https://github.com/BerriAI/litellm/issues/5612
* fix(types/utils.py): allow passing role for message object
https://github.com/BerriAI/litellm/issues/5621
* fix(litellm_logging.py): Fix langfuse logging across multiple projects
Fixes issue where langfuse logger was re-using the old logging object
* feat(proxy/_types.py): support adding key-based tags for tag-based routing
Enable tag based routing at key-level
* fix(proxy/_types.py): fix inheritance
* test(test_key_generate_prisma.py): fix test
* test: fix test
* fix(litellm_logging.py): return used callback object