Replace Pydantic v1 `.dict()` method with v2 `.model_dump()` to fix
PydanticDeprecatedSince20 warnings. The `.dict()` method is deprecated
in Pydantic v2 and will be removed in v3.
Fixes#5987
* fix: conditionally pass enable_cleanup_closed to aiohttp TCPConnector
Fixes deprecation warning on Python 3.12.7+ and 3.13.1+ where
enable_cleanup_closed is no longer needed since the underlying
CPython SSL connection leak bug was fixed.
See: https://github.com/python/cpython/pull/118960
* chore: add aiohttp source reference to AIOHTTP_NEEDS_CLEANUP_CLOSED
* docs vertex tts
* place vertex ai types in file
* use VertexAITextToSpeechConfig
* use vertex_voice_dict
* refactor docs
* docs vertex ai chirp
* TestVertexAITextToSpeechConfig
* new provider vertex ai chirp3
* test_litellm_speech_vertex_ai_chirp
* add vertex_ai/chirp cost trackign
* docs: add Azure AI Foundry documentation for Claude models
Add documentation explaining how to use Claude models (Sonnet 4.5,
Haiku 4.5, Opus 4.1) deployed on Azure AI Foundry with LiteLLM.
Azure exposes Claude using Anthropic's native API, so users can use
the existing anthropic/ provider with their Azure endpoint.
Closes#17066
* docs: Add alternative method for Azure AI Foundry using anthropic/ provider
Document that users can use anthropic/ provider with Azure endpoint
as an alternative to the dedicated azure_ai/ provider.
* refactor(generic_guardrail_api.py): refactor to update to new guardrail api logic
* refactor: refactor llm api integrations to support passing in text as a list[str] instead of one at a time
* refactor: fix linting errors
* refactor: pass request type to guardrail api
allows request vs. response processing to occur
* feat: pass user api key dict information to the guardrail api
* fix: pass user api key dict information to the guardrail api
* feat: pass litellm call id + trace id, if present
* docs: update docs
* update databricks pricing and add DBU<>USD test
* Refactor test_databricks_pricing.py
Removed unnecessary sys.path modification and cleaned up comments.
Handle the case where metadata is explicitly set to null/None in the
request body. This was causing a 401 error with "'NoneType' object
has no attribute 'get'" when calling /v1/batches with metadata: null.
The fix uses `or {}` instead of a default dict value since the key
exists but has a None value.
* test: add failing tests for SSO user not added to Entra-synced teams bug
Adds tests reproducing the bug where new SSO users with teams=None
(from NewUserResponse) are not added to Entra ID synced teams because
add_missing_team_member() returns early when teams is None.
Tests demonstrate:
- NewUserResponse with teams=None fails to add user to teams (bug)
- LiteLLM_UserTable with teams=[] correctly adds user to teams (control)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: treat None as empty list in add_missing_team_member for new SSO users
Fixed bug where new SSO users logging in via Microsoft SSO were not added
to their Entra-synced teams. The issue was an early return when
user_info.teams is None (default for NewUserResponse). Now treats None
as an empty list so new users are properly added to all their SSO teams.
Location: litellm/proxy/management_endpoints/ui_sso.py:438-440
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
* fix: skip user budget/model validation for org-scoped teams
When creating a team with organization_id, budget and model constraints
should be validated against the organization's limits, not the user's
personal limits. This allows org admins with restrictive personal
budgets to create teams within their organization's more generous limits.
Adds 4 unit tests to verify:
- Org-scoped teams bypass user budget validation
- Org-scoped teams bypass user model validation
- Standalone teams still validate against user limits
* fix: enforce user budget/model limits for standalone teams in update_team
- Add user-level budget and model validation to update_team endpoint for standalone teams,
matching the existing pattern in new_team
- Org-scoped teams correctly bypass user validation and use organization limits instead
- Add 5 new comprehensive tests covering standalone/org team budget/model validation
* fix: Add direct TPM/RPM org limit validation and consolidate user team limit checks
- Add direct TPM/RPM comparison against org limits in _check_org_team_limits()
- Consolidate budget/models/TPM/RPM user validation into _check_user_team_limits() helper
- Ensure user limits only apply to standalone teams (organization_id=None)
- Org-scoped teams now validate TPM/RPM against org limits (not user limits)
- Add 8 tests for TPM/RPM validation scenarios (org and user limits)
- Reduce code duplication between new_team() and update_team()
