Non-admin keys could delete vector stores via DELETE /v1/vector_stores/{id}
and delete Azure AI Search indexes via the azure_ai pass-through endpoint.
Added PROXY_ADMIN checks to both paths (registered-index and generic fallthrough).
Made-with: Cursor
* fix(proxy): infer team from DB when JWT has no team and user has one team
- When team_id is unset after JWT auth but the user row has exactly one
team, set team_id, team_object, and team_membership from DB.
- Skip when zero or multiple teams (ambiguous).
- Add parametrized unit tests in test_handle_jwt.py.
Made-with: Cursor
* fix(proxy): JWT single-team DB fallback: catch errors, tests match get_team_object
- Wrap get_team_object + get_team_membership in one try/except; log and skip on failure (stale/missing team id no longer fails auth).
- Parametrize tests: HTTP 404/500, membership error; use side_effect not return_value=None for missing team row.
Made-with: Cursor
* refactor(jwt): extract single-team fallback into _resolve_single_team_fallback helper
Made-with: Cursor
* feat(guardrails): add LLM_AS_A_JUDGE to SupportedGuardrailIntegrations
* feat(types): add EvalVerdict, StandardLoggingEvalInformation; wire eval_information into SpendLogsMetadata
* feat(guardrails): add self-contained llm_as_a_judge guardrail hook
* fix(a2a): filter agent-only litellm_params from acompletion kwargs; pass agent_id into body
* feat(ui): add LLMJudgeFields criteria builder component
* feat(ui): wire LLM-as-a-Judge into add guardrail form
* feat(ui): update EvalViewer — title 'LLM Judge Results', weighted score column, summary row
* fix(ui): wire EvalViewer into LogDetailContent to show LLM judge results on logs page
* fix(guardrails-ui): route llm_as_a_judge to criteria builder step; rename to LiteLLM LLM as a Judge; add litellm logo
* fix(guardrail-viewer): stack lifecycle + eval details vertically to avoid badge overflow in narrow drawer
* fix(guardrail-create): surface config validation errors on create instead of silently orphaning guardrail in DB
* fix(guardrail-registry): hardcode llm_as_a_judge in initializer registry so it loads regardless of package install path
* fix(llm-as-a-judge): fix P1 code quality issues - validate weights/on_failure, guard pre_call, handle multimodal, move imports to module level, fix spurious finally logging
* fix(guardrail_endpoints): use correct PK field in rollback delete and log rollback failure
* fix(llm_as_a_judge): support Pydantic object in _get_litellm_param fallback chain
* fix(LLMJudgeFields): replace @tremor/react Button with antd Button
* fix(llm_as_a_judge): remove dead registry dicts, fix KeyError in prompt builder, set correct status on judge failure
* test(llm_as_a_judge): add unit tests for guardrail hook
* fix(llm_as_a_judge): remove @log_guardrail_information decorator to fix duplicate guardrail_information entries
The decorator and the manual finally block both called add_standard_logging_guardrail_information_to_request_data, producing two entries per request. The decorator also misclassified HTTPException(422) blocks as guardrail_failed_to_respond (it checks for 400). The finally block correctly tracks status throughout, so removing the decorator is sufficient.
* fix(test_gcs_pub_sub): ignore metadata.eval_information in comparison
* fix(test_spend_management): ignore metadata.eval_information in payload comparison
* fix(types/guardrails): add input_type and messages to ApplyGuardrailRequest
* fix(guardrail_endpoints): pass input_type and messages through apply_guardrail endpoint
* fix(guardrail_endpoints): auto-detect post_call guardrails and use input_type=response
* fix(a2a_endpoints): merge agent litellm_params guardrails into data before post_call hooks
* fix(llm_as_a_judge): use float sum with tolerance for weight validation
* fix(guardrail_registry): split long import line for black formatting
* fix(llm_as_a_judge): guard guardrail_name Optional for mypy
* fix(llm_as_a_judge): set guardrail_status=guardrail_intervened when score fails, regardless of on_failure mode
* fix(a2a_endpoints): use try/finally so deferred spend log fires even when guardrail blocks with 422
* fix(litellm_logging): declare _defer_async_logging and _enqueue_deferred_logging on Logging class for mypy
* fix(logging_worker): restore queue.join() in flush() to wait for in-flight callbacks
* fix(vertex passthrough): log :embedContent and :batchEmbedContents responses
* test(vertex passthrough): add unit tests for :embedContent and :batchEmbedContents logging
* fix(vertex passthrough): extract input text from request body for embedContent token counting
* fix(vertex passthrough): add embedContent and batchEmbedContents to TRACKED_VERTEX_ROUTES
* fix(vertex passthrough): detect Google AI Studio URLs in embedContent handler
* test(vertex passthrough): add unit test for Google AI Studio URL embedContent provider detection
* style: black format vertex_passthrough_logging_handler
The enterprise package ships under the BerriAI Enterprise License defined
in enterprise/LICENSE.md, which is not an SPDX-listed license. Declare it
via PEP 639's LicenseRef-Proprietary expression so metadata-reading tools
(PyPI classifiers, Nexus IQ, pip-licenses) resolve it instead of reporting
License-None. The existing license-files entry already ships the full terms.
Previously, an admin JWT sending a stale/typo'd/missing x-litellm-team-id
on an LLM API route received a hard 404 from get_team_object, blocking the
request. Restore pre-PR admin behavior: if the header can't be resolved,
skip team attribution and proceed with admin access, logging a warning
with the header value and route so the misconfigured caller is diagnosable.
Replaces the rm-and-symlink hack with a plain actions/checkout
using path: docs/my-website. The previous approach failed on this
branch because docs/my-website no longer exists in the repo (its
parent docs/ directory was also removed), so ln -s had nowhere
to create the symlink.
Also adds the same checkout step to test-unit-documentation.yml,
which was silently relying on docs/my-website existing in-tree
for test_env_keys.py and test_router_settings.py.
The documentation source has moved to a separate repository,
BerriAI/litellm-docs, served at docs.litellm.ai. This PR removes
docs/my-website/ from this repo and updates README.md, AGENTS.md,
and CLAUDE.md to direct doc contributions to the new repo.
Also fixes a broken relative link in
litellm/integrations/levo/README.md.
The existing CI symlink in .github/workflows/test-code-quality.yml
(which clones litellm-docs and symlinks docs/my-website to it for
tests/documentation_tests/*) continues to work without change.
create_model does not inherit the base class docstring, so once an
extension registered a field the effective class had no description.
The UI renders schema.description as a header paragraph — losing it
broke the 'Configuration for UI-specific flags' text. Pass __doc__
through explicitly and add a regression test.
Extract the admin team-header attachment into a helper so
auth_builder stays under the 50-statement lint threshold; apply
black formatting to the two files flagged on the prior commit.
No behavior change.
GET /get/ui_settings returns a schema built from the effective UISettings
class (base + enterprise-registered fields), but PATCH /update/ui_settings
declared its body as the base UISettings. Enterprise fields still worked
via extra="allow", but the OpenAPI schema was asymmetric between GET and
PATCH.
Accept the body as a dict and validate with the effective class so both
sides are in sync and enterprise-registered fields are type-checked.
The file was moved to tests/enterprise/litellm_enterprise/proxy/management_endpoints/
and is covered by the CircleCI litellm_mapped_enterprise_tests job. The stale path
was causing pytest to error with 'file or directory not found'.
Scope the header-driven team fetch to LLM API routes so admin
management routes keep the pre-existing bypass behavior (no
phantom teams, no 404s on mgmt calls). Team context is threaded
onto UserAPIKeyAuth so spend logs, rate limits, and team_models
attribution are correctly applied when admins act on behalf of
a team via x-litellm-team-id.
* fix(proxy): honor object_permission for managed vector store access
* perf(proxy): preload team object_permission on UserAPIKeyAuth
Populate team_object_permission during virtual-key and JWT auth when the
team is loaded, so can_user_access_vector_store uses it in memory first
and only falls back to get_object_permission by id when missing.
Made-with: Cursor
* fix(team_endpoints): auto-add SSO team members to org for proxy admins
* test: proxy_admin vs team_admin security boundary for team→org move
* screenshots: before/after for team-org SSO fix
* fix(team_endpoints): restore staging security features dropped in SSO commit
Co-Authored-By: Ishaan Jaff <ishaan@berri.ai>
* style: black formatting for team_endpoints