* 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
* feat(utils.py): support global flag for 'check_provider_endpoints'
enables setting this for `/models` on proxy
* feat(utils.py): add caching to 'get_valid_models'
Prevents checking endpoint repeatedly
* fix(utils.py): ensure mutations don't impact cached results
* test(test_utils.py): add unit test to confirm cache invalidation logic
* feat(utils.py): get_valid_models - support passing litellm params dynamically
Allows for checking endpoints based on received credentials
* test: update test
* feat(model_checks.py): pass router credentials to get_valid_models - ensures it checks correct credentials
* refactor(utils.py): refactor for simpler functions
* fix: fix linting errors
* fix(utils.py): fix test
* fix(utils.py): set valid providers to custom_llm_provider, if given
* test: update test
* fix: fix ruff check error
* feat(llm_passthrough_endpoints.py): support mistral passthrough
Closes https://github.com/BerriAI/litellm/issues/9051
* feat(llm_passthrough_endpoints.py): initial commit for adding vllm passthrough route
* feat(vllm/common_utils.py): add new vllm model info route
make it possible to use vllm passthrough route via factory function
* fix(llm_passthrough_endpoints.py): add all methods to vllm passthrough route
* fix: fix linting error
* fix: fix linting error
* fix: fix ruff check
* fix(proxy/_types.py): add new passthrough routes
* docs(config_settings.md): add mistral env vars to docs
* fix(azure/common_utils.py): check for azure tenant id, client id, client secret in env var
Fixes https://github.com/BerriAI/litellm/issues/9598#issuecomment-2801966027
* fix(azure/gpt_transformation.py): fix passing response_format to azure when api year = 2025
Fixes https://github.com/BerriAI/litellm/issues/9703
* test: monkeypatch azure api version in test
* test: update testing
* test: fix test
* test: update test
* docs(config_settings.md): document env vars
* build(model_prices_and_context_window.json): add gpt-4.1 pricing
* build(model_prices_and_context_window.json): add gpt-4.1-mini and gpt-4.1-nano model support
* 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
* add categories for spend tracking improvements
* xai reasoning usage
* docs tag management
* docs tag based routing
* [Beta] Routing based
* docs tag based routing
* docs tag routing
* docs enterprise web search
* only load member permissions for non-admins
* run member permission checks on update + regenerate endpoints
* run check for /key/generate
* working test_default_member_permissions
* passing test with permissions on update delete endpoints
* test_create_permissions
* _team_key_generation_check
* fix TeamBase
* fix team endpoints
* fix api docs check
