Remove the silent try/catch from setSecureItem so OAuth hooks can
surface actionable "enable storage" guidance instead of a cryptic
"state lost" error after the round-trip. Add a local try/catch in
ChatUI where the storage write is non-critical.
Add Baseten Model API pricing entries for Nemotron, GLM, Kimi, GPT OSS, and DeepSeek models with validated model slugs. Include a focused regression test to assert provider and per-token pricing values.
Made-with: Cursor
* fix(vertex_ai): support pluggable (executable) credential_source for WIF auth (#24700)
The WIF credential dispatch in load_auth() only handled identity_pool and
aws credential types. When credential_source.executable was present (used
for Azure Managed Identity via Workload Identity Federation), it fell
through to identity_pool.Credentials which rejected it with MalformedError.
Add dispatch to google.auth.pluggable.Credentials for executable-type
credential sources, following the same pattern as the existing identity_pool
and aws helpers.
Fixes authentication for Azure Container Apps → GCP Vertex AI via WIF
with executable credential sources.
* feat(logging): add component and logger fields to JSON logs for 3rd p… (#24447)
* feat(logging): add component and logger fields to JSON logs for 3rd party filtering
* Let user-supplied extra fields win over auto-generated component/logger, tighten test assertions
* Feat - Add organization into the metrics metadata for org_id & org_alias (#24440)
* Add org_id and org_alias label names to Prometheus metric definitions
* Add user_api_key_org_alias to StandardLoggingUserAPIKeyMetadata
* Populate user_api_key_org_alias in pre-call metadata
* Pass org_id and org_alias into per-request Prometheus metric labels
* Add test for org labels on per-request Prometheus metrics
* chore: resolve test mockdata
* Address review: populate org_alias from DB view, add feature flag, use .get() for org metadata
* Add org labels to failure path and verify flag behavior in test
* Fix test: build flag-off enum_values without org fields
* Gate org labels behind feature flag in get_labels() instead of static metric lists
* Scope org label injection to metrics that carry team context, remove orphaned budget label defs, add test teardown
* Use explicit metric allowlist for org label injection instead of team heuristic
* Fix duplicate org label guard, move _org_label_metrics to class constant
* Reset custom_prometheus_metadata_labels after duplicate label assertion
* fix: emit org labels by default, remove flag, fix missing org_alias in all metadata paths
* fix: emit org labels by default, no opt-in flag required
* fix: write org_alias to metadata unconditionally in proxy_server.py
* fix: 429s from batch creation being converted to 500 (#24703)
* add us gov models (#24660)
* add us gov models
* added max tokens
* Litellm dev 04 02 2026 p1 (#25052)
* fix: replace hardcoded url
* fix: Anthropic web search cost not tracked for Chat Completions
The ModelResponse branch in response_object_includes_web_search_call()
only checked url_citation annotations and prompt_tokens_details, missing
Anthropic's server_tool_use.web_search_requests field. This caused
_handle_web_search_cost() to never fire for Anthropic Claude models.
Also routes vertex_ai/claude-* models to the Anthropic cost calculator
instead of the Gemini one, since Claude on Vertex uses the same
server_tool_use billing structure as the direct Anthropic API.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix(anthropic): pass logging_obj to client.post for litellm_overhead_time_ms (#24071)
When LITELLM_DETAILED_TIMING=true, litellm_overhead_time_ms was null for
Anthropic because the handler did not pass logging_obj to client.post(),
so track_llm_api_timing could not set llm_api_duration_ms. Pass
logging_obj=logging_obj at all four post() call sites (make_call,
make_sync_call, acompletion, completion). Add test to ensure make_call
passes logging_obj to client.post.
Made-with: Cursor
* sap - add additional parameters for grounding
- additional parameter for grounding added for the sap provider
* sap - fix models
* (sap) add filtering, masking, translation SAP GEN AI Hub modules
* (sap) add tests and docs for new SAP modules
* (sap) add support of multiple modules config
* (sap) code refactoring
* (sap) rename file
* test(): add safeguard tests
* (sap) update tests
* (sap) update docs, solve merge conflict in transformation.py
* (sap) linter fix
* (sap) Align embedding request transformation with current API
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) mock commit
* (sap) run black formater
* (sap) add literals to models, add negative tests, fix test for tool transformation
* (sap) fix formating
* (sap) fix models
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) commit for rerun bot review
* (sap) minor improve
* (sap) fix after bot review
* (sap) lint fix
* docs(sap): update documentation
* fix(sap): change creds priority
* fix(sap): change creds priority
* fix(sap): fix sap creds unit test
* fix(sap): linter fix
* fix(sap): linter fix
* linter fix
* (sap) update logic of fetching creds, add additional tests
* (sap) clean up code
* (sap) fix after review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) add a possibility to put the service key by both variants
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) update test
* (sap) update service key resolve function
* (sap) run black formater
* (sap) fix validate credentials, add negative tests for credential fetching
* (sap) fix validate credentials, add negative tests for credential fetching
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) fix after bot review
* (sap) lint fix
* (sap) lint fix
* feat: support service_tier in gemini
* chore: add a service_tier field mapping from openai to gemini
* fix: use x-gemini-service-tier header in response
* docs: add service_tier to gemini docs
* chore: add defaut/standard mapping, and some tests
* chore: tidying up some case insensitivity
* chore: remove unnecessary guard
* fix: remove redundant test file
* fix: handle 'auto' case-insensitively
* fix: return service_tier on final steamed chunk
* chore: black
* feat: enable supports_service_tier to gemini models
* Fix get_standard_logging_metadata tests
* Fix test_get_model_info_bedrock_models
* Fix test_get_model_info_bedrock_models
* Fix remaining tests
* Fix mypy issues
* Fix tests
* Fix merge conflicts
* Fix code qa
* Fix code qa
* Fix code qa
* Fix greptile review
---------
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
Co-authored-by: Josh <36064836+J-Byron@users.noreply.github.com>
Co-authored-by: mubashir1osmani <mubashir.osmani777@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: milan-berri <milan@berri.ai>
Co-authored-by: Alperen Kömürcü <alperen.koemuercue@sap.com>
Co-authored-by: Vasilisa Parshikova <vasilisa.parshikova@sap.com>
Co-authored-by: Lin Xu <lin.xu03@sap.com>
Co-authored-by: Mark McDonald <macd@google.com>
Co-authored-by: Sameer Kankute <sameer@berri.ai>
Fixes 'LLM Provider NOT provided' errors when models are configured with
custom_llm_provider but model names lack provider prefix (e.g., 'gpt-4.1-mini'
instead of 'azure/gpt-4.1-mini').
Changes:
- Router now passes deployment's custom_llm_provider to get_llm_provider()
- Fixes 6 code paths: file creation, file content, batch operations, vector store
- Adds regression tests for file creation and file content operations
Made-with: Cursor
* feat(triton): add embedding usage estimation for self-hosted responses
Populate Triton embedding usage from request input using token counting with a safe fallback so cost/observability flows work even when provider usage is missing.
Made-with: Cursor
* fix(triton): sum per-input embedding token counts for batches
Joining batch strings with newlines before token_counter added spurious
tokens. Count each input separately and sum, matching OpenAI-style usage.
Made-with: Cursor
Using setdefault('litellm_metadata', {}) unconditionally created an empty
litellm_metadata key for chat completions and embeddings. This caused
_get_metadata_variable_name_from_kwargs to return 'litellm_metadata' instead
of 'metadata', so tag-based routing looked for tags in the wrong dict and
ignored all tag filters.
Fix: only set the encrypted_content_affinity_enabled flag when litellm_metadata
already exists (Responses API path). Chat completions and embeddings never have
this key, so nothing is created and tag routing works correctly.
- Dockerfile.health_check: HEALTHCHECK now verifies the script is intact
instead of unconditionally exiting 0
- secureStorage.ts: replace deprecated escape/unescape with
encodeURIComponent/decodeURIComponent; don't delete legacy values on
decode failure so in-flight flows can time out naturally
- OAuth callback: add same-origin check before redirecting to stored
return URL
Port security fixes from litellm_v1.82.3.dev.6:
- Use secureStorage (sessionStorage wrapper) instead of raw storage for tokens
- Add URL validation for stored worker URLs to prevent open redirects
- Add same-origin checks before redirecting to stored return URLs
- Harden Dockerfile.health_check with non-root user and exec-form HEALTHCHECK
- Add constants.ts with all required exports (key aliases, team IDs)
- Add fixtures/users.ts with all role definitions and storage paths
- Add fixtures/seed.sql for deterministic test database seeding
- Remove Firefox project from playwright config (only Chromium installed)
- Remove unused variable in teams.spec.ts
- Rename CircleCI job to e2e_ui_testing
Add Playwright E2E tests covering proxy admin team and key management
workflows, with a self-contained test runner and CircleCI integration.
Tests cover: create team, invite user, edit/delete team members, create
key in team, regenerate key, update TPM/RPM limits, delete key, and
verify internal user keys are visible.
Infrastructure: run_e2e.sh builds the UI from source before starting
the proxy, ensuring tests always run against the latest UI changes.
Added data-testid attributes to key UI components for reliable selectors.
Redis caching unit tests (test_dual_cache, test_redis_batch_optimizations,
test_router_utils) required Redis secrets that should live in CircleCI.
- Add redis_caching_unit_tests job to CircleCI config
- Delete test-unit-caching-redis.yml GHA workflow
- Remove all Redis plumbing (inputs, secrets, env vars) from
_test-unit-services-base.yml and its callers
- Move os and MCP_STDIO_ALLOWED_COMMANDS imports to module level in mcp_server_manager.py
- Move MCP_STDIO_ALLOWED_COMMANDS import to module level in _types.py
- Change defense-in-depth warning to HTTPException 403 for legacy non-allowlisted commands
- Ensures arbitrary command execution is blocked for both new and legacy MCP servers
Addresses Greptile review comments:
- P2: Inline imports violate CLAUDE.md style guide
- P1 security: Defense-in-depth should block, not warn, for legacy commands
Made-with: Cursor
- Defense-in-depth: warn instead of hard-fail for legacy servers
- Move os import to module level in _types.py
- Document args residual risk in allowlist comment
- Add UpdateMCPServerRequest allowlist test
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add command allowlist for MCP stdio transport to prevent RCE via
/mcp-rest/test/* endpoints. Restrict test endpoints to PROXY_ADMIN
role. Fix docker/README.md MASTER_KEY -> LITELLM_MASTER_KEY.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The /v2/key/info endpoint was missing response filtering that
the v1 /key/info endpoint already had. This aligns the two
endpoints so v2 applies the same per-key permission checks and
strips internal fields from the response. Also fixes the
key_aliases query path to resolve aliases before querying.
Allow JWT tokens matching routing_overrides to use OAuth2 introspection without enabling global OAuth2 while keeping OAuth2 routing limited to LLM/info routes. Add regression coverage for management-route boundary and tighten opaque-token assertions; update docs to reflect selective-mode route scope.
Made-with: Cursor
The .npmrc file (ignore-scripts=true, min-release-age=3d) is temporarily
removed during the Docker build since lifecycle scripts are needed by
npm ci. However, the unconditional `mv` fails when the build context
doesn't include .npmrc (e.g. when LiteLLM is vendored in a subdirectory).
Make all .npmrc mv operations conditional. This is safe because npm ci
already installs from package-lock.json with pinned versions and
integrity hashes.
