* fix(user_dashboard.tsx): fix spend calculation when team selected
sum all team keys, not user keys
* docs(admin_ui_sso.md): fix docs tabbing
* feat(user_api_key_auth.py): introduce new 'enforce_rbac' param on jwt auth
allows proxy admin to prevent any unmapped yet authenticated jwt tokens from calling proxy
Fixes https://github.com/BerriAI/litellm/issues/6793
* test: more unit testing + refactoring
* fix: fix returning id when obj not found in db
* fix(user_api_key_auth.py): add end user id tracking from jwt auth
* docs(token_auth.md): add doc on rbac with JWTs
* fix: fix unused params
* test: remove old test
* fix(user_api_key_auth.py): handle clientside fallback model when item in list is dictionary
* fix(auth_checks.py): help user find invalid model names during dev
Ensure fallbacks work in prod
* fix(user_api_key_auth.py): fix linting check
* fix: cleanup unused variables
* fix: fix import
* fix(auth_checks.py): fix auth check
* feat(health_check.py): set upperbound for api when making health check call
prevent bad model from health check to hang and cause pod restarts
* fix(health_check.py): cleanup task once completed
* fix(constants.py): bump default health check timeout to 1min
* docs(health.md): add 'health_check_timeout' to health docs on litellm
* build(proxy_server_config.yaml): add bad model to health check
* fix remove emoji on logs page
* fix title of page
* ui - get countryIP
* ui lookup
* ui - get country from ip address
* show team and key alias on root
* working team / key filter
* working filters
* ui filtering by key / team alias
* simple search
* fix add pagination on view logs page
* add start / end time filters
* add custom time filter
* Fix: Problem with langfuse_tags when using litellm proxy with langfuse integration (#7801)
* Refactor: Create method get_langfuse_tags
* Fix: Exception Handling
* fix(lm_studio/chat/transformation.py): Fix https://github.com/BerriAI/litellm/issues/7811
* fix(router.py): fix mock timeout check
* fix: drop model name from fallback args since it causes a conflict with the model=model that is provided later on. (#7806)
This error happens if you provide multiple fallback models to the completion function with model name defined in each one.
* fix(router.py): remove mock_timeout before sending to request
prevents reuse in fallbacks
* test: update test
* test: revert test change - wrong pr
---------
Co-authored-by: Dudu Lasry <david1542@users.noreply.github.com>
* refactor: initial commit for using separate sync vs. async transformation routes for bedrock
ensures no blocking calls e.g. when converting image url to b64
* perf(converse_transformation.py): make bedrock converse transformation async
asyncify's the bedrock message transformation - useful for handling image urls for bedrock
* fix(converse_handler.py): fix logging for async streaming
* style: cleanup unused imports
* build: ensure all regional bedrock models have same supported values as base bedrock model
prevents drift
* test(base_llm_unit_tests.py): add testing for nested pydantic objects
* fix(test_utils.py): add test_get_potential_model_names
* fix(anthropic/chat/transformation.py): support nested pydantic objects
Fixes https://github.com/BerriAI/litellm/issues/7755
