* style(internal_user_endpoints.py): add response model to `/user/list` endpoint
make sure we maintain consistent response spec
* fix(key_management_endpoints.py): return 'created_at' and 'updated_at' on `/key/generate`
Show 'created_at' on UI when key created
* test(test_keys.py): add e2e test to ensure created at is always returned
* fix(view_users.tsx): support global search by user email
allows easier search
* test(search_users.spec.ts): add e2e test ensure user search works on admin ui
* fix(view_users.tsx): support filtering user by role and user id
More powerful filtering on internal users table
* fix(view_users.tsx): allow filtering users by team
* style(view_users.tsx): cleanup ui to show filters in consistent style
* refactor(view_users.tsx): cleanup to just use 1 variable for the data
* fix(view_users.tsx): cleanup use effect hooks
* fix(internal_user_endpoints.py): fix check to pass testing
* test: update tests
* test: update tests
* Revert "test: update tests"
This reverts commit 6553eeb232.
* fix(view_userts.tsx): add back in 'previous' and 'next' tabs for pagination
* feat(fireworks_ai/chat): handle tool calling with fireworks ai correctly
Fixes https://github.com/BerriAI/litellm/issues/7209
* fix(utils.py): handle none type in message
* fix: fix model name in test
* fix(utils.py): fix validate check for openai messages
* fix: fix model returned
* fix(main.py): fix text completion routing
* test: update testing
* test: skip test - cohere having RBAC issues
* build(model_prices_and_context_window.json): add vertex ai gemini-2.5-flash pricing
* build(model_prices_and_context_window.json): add gemini reasoning token pricing
* fix(vertex_and_google_ai_studio_gemini.py): support counting thinking tokens for gemini
allows accurate cost calc
* fix(utils.py): add reasoning token cost calc to generic cost calc
ensures gemini-2.5-flash cost calculation is accurate
* build(model_prices_and_context_window.json): mark gemini-2.5-flash as 'supports_reasoning'
* feat(gemini/): support 'thinking' + 'reasoning_effort' params + new unit tests
allow controlling thinking effort for gemini-2.5-flash models
* test: update unit testing
* feat(vertex_and_google_ai_studio_gemini.py): return reasoning content if given in gemini response
* test: update model name
* fix: fix ruff check
* test(test_spend_management_endpoints.py): update tests to be less sensitive to new keys / updates to usage object
* fix(vertex_and_google_ai_studio_gemini.py): fix translation
* fix(proxy/_types.py): allow internal user to call api playground
* fix(new_usage.tsx): cleanup tag based usage - only show for proxy admin
not clear what tags internal user should be allowed to see
* fix(team_endpoints.py): allow internal user view spend for teams they belong to
* fix(team_endpoints.py): return team alias on `/team/daily/activity` API
allows displaying team alias on ui
* fix: fix linting error
* fix(entity_usage.tsx): allow viewing top keys by team
* fix(entity_usage.tsx): show alias, if available in breakdown
allows entity alias to be easily displayed
* Show usage by key (on all up, team, and tag usage dashboards) (#10152)
* fix(entity_usage.tsx): allow user to select team in team usage tab
* fix(new_usage.tsx): load all tags for filtering
* fix(tag_management_endpoints.py): return dynamic tags from db on `/tag/list`
* fix(litellm_pre_call_utils.py): support x-litellm-tags even if tag based routing not enabled
* fix(new_usage.tsx): show breakdown of usage by api key on dashboard
helpful when looking at spend by team
* fix(networking.tsx): exclude litellm-dashboard team id's from calls
adds noisy ui tokens to key activity
* fix(new_usage.tsx): allow user to see activity by key on main tab
* feat(internal_user_endpoints.py): refactor to use common_daily_activity function
reuses same logic across teams/keys/tags
Allows returning team_alias in api_keys consistently
* fix(leftnav.tsx): swap old usage with new usage tab
* fix(entity_usage.tsx): show breakdown of teams in daily spend chart
* style(new_usage.tsx): show global usage tab if user is admin / has admin view
* fix(new_usage.tsx): add disclaimer for new usage dashboard
* fix(new_usage.tsx): fix linting error
* Allow filtering usage dashboard by team + tag (#10150)
* fix(entity_usage.tsx): allow user to select team in team usage tab
* fix(new_usage.tsx): load all tags for filtering
* fix(tag_management_endpoints.py): return dynamic tags from db on `/tag/list`
* fix(litellm_pre_call_utils.py): support x-litellm-tags even if tag based routing not enabled
* fix: fix linting error
* feat: initial commit adding daily tag spend table to db
* feat(db_spend_update_writer.py): correctly log tag spend transactions
* build(schema.prisma): add new tag table to root
* build: add new migration file
* feat(common_daily_activity.py): add `/tag/daily/activity` API endpoint
allows viewing daily spend by tag
* feat(tag_management_endpoints.py): support comma separated list of tags + tag breakdown metric
allows querying multiple tags + knowing what tags are driving spend
* feat(entity_usage.tsx): initial commit adding tag based usage to litellm dashboard
brings back tag based usage tracking to UI at 1m+ spend logs
* feat(entity_usage.tsx): add top api key view to ui
* feat(entity_usage.tsx): add tag table to ui
* feat(entity_usage.tsx): allow filtering by tag
* refactor(entity_usage.tsx): reorder components
* build(ui/): fix linting error
* fix: fix ruff checks
* fix(schema.prisma): drop uniqueness requirement on tag
allows dailytagspend to have multiple rows with the same tag
* build(schema.prisma): drop uniqueness requirement on tag in dailytagspend
allows tag agg. view to work on multiple rows with same tag
* build(schema.prisma): drop tag uniqueness requirement
* feat: initial commit adding daily tag spend table to db
* feat(db_spend_update_writer.py): correctly log tag spend transactions
* build(schema.prisma): add new tag table to root
* build: add new migration file
* fix(llm_http_handler.py): fix fake streaming
allows groq to work with llm_http_handler
* fix(groq.py): migrate groq to openai like config
ensures json mode handling works correctly
* feat(schema.prisma): initial commit adding aggregate table for team spend
allows team spend to be visible at 1m+ logs
* feat(db_spend_update_writer.py): support logging aggregate team spend
allows usage dashboard to work at 1m+ logs
* feat(litellm-proxy-extras/): add new migration file
* fix(db_spend_update_writer.py): fix return type
* build: bump requirements
* fix: fix ruff error
* fix(openai.py): ensure openai file object shows up on logs
* fix(managed_files.py): return unified file id as b64 str
allows retrieve file id to work as expected
* fix(managed_files.py): apply decoded file id transformation
* fix: add unit test for file id + decode logic
* fix: initial commit for litellm_proxy support with CRUD Endpoints
* fix(managed_files.py): support retrieve file operation
* fix(managed_files.py): support for DELETE endpoint for files
* fix(managed_files.py): retrieve file content support
supports retrieve file content api from openai
* fix: fix linting error
* test: update tests
* fix: fix linting error
* feat(managed_files.py): support reading / writing files in DB
* feat(managed_files.py): support deleting file from DB on delete
* test: update testing
* fix(spend_tracking_utils.py): ensure each file create request is logged correctly
* fix(managed_files.py): fix storing / returning managed file object from cache
* fix(files/main.py): pass litellm params to azure route
* test: fix test
* build: add new prisma migration
* build: bump requirements
* test: add more testing
* refactor: cleanup post merge w/ main
* fix: fix code qa errors
* fix(openai.py): ensure openai file object shows up on logs
* fix(managed_files.py): return unified file id as b64 str
allows retrieve file id to work as expected
* fix(managed_files.py): apply decoded file id transformation
* fix: add unit test for file id + decode logic
* fix: initial commit for litellm_proxy support with CRUD Endpoints
* fix(managed_files.py): support retrieve file operation
* fix(managed_files.py): support for DELETE endpoint for files
* fix(managed_files.py): retrieve file content support
supports retrieve file content api from openai
* fix: fix linting error
* test: update tests
* fix: fix linting error
* fix(files/main.py): pass litellm params to azure route
* test: fix test
* add team_member_permissions
* add GetTeamMemberPermissionsRequest types
* crud endpoint for team member permissions
* test team member permissions CRUD
* fix GetTeamMemberPermissionsRequest
* endpoint for updating default team settings on ui
* add GET default team settings endpoint
* ui expose default team settings on UI
* update to use DefaultTeamSSOParams
* DefaultTeamSSOParams
* fix DefaultTeamSSOParams
* docs team management
* test_update_default_team_settings
* feat(managed_files.py): encode file type in unified file id
simplify calling gemini models
* fix(common_utils.py): fix extracting file type from unified file id
* fix(litellm_logging.py): create standard logging payload for create file call
* fix: fix linting error
* refactor(litellm_logging.py): refactor realtime cost tracking to use common code as rest
Ensures basic features like base model just work
* feat(realtime/): support 'base_model' cost tracking on realtime api
Fixes issue where base model was not working on realtime
* fix: fix ruff linting error
* test: fix test
* fix(cost_calculator.py): handle custom pricing at deployment level for router
* test: add unit tests
* fix(router.py): show custom pricing on UI
check correct model str
* fix: fix linting error
* docs(custom_pricing.md): clarify custom pricing for proxy
Fixes https://github.com/BerriAI/litellm/issues/8573#issuecomment-2790420740
* test: update code qa test
* fix: cleanup traceback
* fix: handle litellm param custom pricing
* test: update test
* fix(cost_calculator.py): add router model id to list of potential model names
* fix(cost_calculator.py): fix router model id check
* fix: router.py - maintain older model registry approach
* fix: fix ruff check
* fix(router.py): router get deployment info
add custom values to mapped dict
* test: update test
* fix(utils.py): update only if value is non-null
* test: add unit test
* rendering tags on UI
* use /models for building tags
* CRUD endpoints for Tag management
* fix tag management
* working api for LIST tags
* working tag management
* refactor UI components
* fixes ui tag management
* clean up ui tag management
* fix tag management ui
* fix show allowed llms
* e2e tag controls
* stash change for rendering tags on UI
* ui working tag selector on Test Key page
* fixes for tag management
* clean up tag info
* fix code quality
* test for tag management
* ui clarify what tag routing is
* test: move test to just checking async
* fix(transformation.py): handle function call with no schema
* fix(utils.py): handle pydantic base model in message tool calls
Fix https://github.com/BerriAI/litellm/issues/9321
* fix(vertex_and_google_ai_studio.py): handle tools=[]
Fixes https://github.com/BerriAI/litellm/issues/9080
* test: remove max token restriction
* test: fix basic test
* fix(get_supported_openai_params.py): fix check
* fix(converse_transformation.py): support fake streaming for meta.llama3-3-70b-instruct-v1:0
* fix: fix test
* fix: parse out empty dictionary on dbrx streaming + tool calls
* fix(handle-'strict'-param-when-calling-fireworks-ai): fireworks ai does not support 'strict' param
* fix: fix ruff check
'
* fix: handle no strict in function
* fix: revert bedrock change - handle in separate PR
* fix(vertex_ai.py): common_utils.py
move to only passing in accepted keys by vertex ai
prevent json schema compatible keys like $id, and $comment from causing vertex ai openapi calls to fail
* fix(test_vertex.py): add testing to ensure only accepted schema params passed in
* fix(common_utils.py): fix linting error
* test: update test
* test: accept function
* fix(router.py): support reusable credentials via passthrough router
enables reusable vertex credentials to be used in passthrough
* test: fix test
* test(test_router_adding_deployments.py): add unit testing
* Add date picker to usage tab + Add reasoning_content token tracking across all providers on streaming (#9722)
* feat(new_usage.tsx): add date picker for new usage tab
allow user to look back on their usage data
* feat(anthropic/chat/transformation.py): report reasoning tokens in completion token details
allows usage tracking on how many reasoning tokens are actually being used
* feat(streaming_chunk_builder.py): return reasoning_tokens in anthropic/openai streaming response
allows tracking reasoning_token usage across providers
* Fix update team metadata + fix bulk adding models on Ui (#9721)
* fix(handle_add_model_submit.tsx): fix bulk adding models
* fix(team_info.tsx): fix team metadata update
Fixes https://github.com/BerriAI/litellm/issues/9689
* (v0) Unified file id - allow calling multiple providers with same file id (#9718)
* feat(files_endpoints.py): initial commit adding 'target_model_names' support
allow developer to specify all the models they want to call with the file
* feat(files_endpoints.py): return unified files endpoint
* test(test_files_endpoints.py): add validation test - if invalid purpose submitted
* feat: more updates
* feat: initial working commit of unified file id translation
* fix: additional fixes
* fix(router.py): remove model replace logic in jsonl on acreate_file
enables file upload to work for chat completion requests as well
* fix(files_endpoints.py): remove whitespace around model name
* fix(azure/handler.py): return acreate_file with correct response type
* fix: fix linting errors
* test: fix mock test to run on github actions
* fix: fix ruff errors
* fix: fix file too large error
* fix(utils.py): remove redundant var
* test: modify test to work on github actions
* test: update tests
* test: more debug logs to understand ci/cd issue
* test: fix test for respx
* test: skip mock respx test
fails on ci/cd - not clear why
* fix: fix ruff check
* fix: fix test
* fix(model_connection_test.tsx): fix linting error
* test: update unit tests
