* 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
* feat(llm_passthrough_endpoints.py): expose new `/vertex_ai/discovery/` endpoint
Allows calling vertex ai discovery endpoints via passthrough
For agentbuilder api calls
* refactor(llm_passthrough_endpoints.py): use common _base_vertex_proxy_route
Prevents duplicate code
* feat(llm_passthrough_endpoints.py): add vertex endpoint specific passthrough handlers
* Add litellm_call_id passing to aim guardrails on pre and post-hooks
* Add test that ensures that pre_call_hook receives litellm call id when common_request_processing called
* fix typo on UI
* fix for edit user tab
* fix for user spend
* add /team/permissions_list to management routes
* fix auth check for team member permissions
* fix team endpoints test
* fix(model_info_view.tsx): cleanup text
* fix(key_management_endpoints.py): fix filtering litellm-dashboard keys for internal users
* fix(proxy_track_cost_callback.py): prevent flooding spend logs with admin endpoint errors
* test: add unit testing for logic
* test(test_auth_exception_handler.py): add more unit testing
* fix(router.py): correctly handle retrieving model info on get_model_group_info
fixes issue where model hub was showing None prices
* fix: fix linting 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
* 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
* 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
* refactor(db_spend_update_writer.py): aggregate table is entirely different
* test(test_db_spend_update_writer.py): add unit test to ensure if disable_spend_logs is true daily user transactions is still logged
* test: fix test
* 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
* feat(internal_user_endpoints.py): return 'total_tokens' in `/user/daily/analytics`
* test(test_internal_user_endpoints.py): add unit test to assert spend metrics and dailyspend metadata always report the same fields
* build(schema.prisma): record success + failure calls to daily user table
allows understanding why model requests might exceed provider requests (e.g. user hit rate limit error)
* fix(internal_user_endpoints.py): report success / failure requests in API
* fix(proxy/utils.py): default to success
status can be missing or none at times for successful requests
* feat(new_usage.tsx): show success/failure calls on UI
* style(new_usage.tsx): ui cleanup
* fix: fix linting error
* fix: fix linting error
* feat(litellm-proxy-extras/): add new migration files
