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d07689d2d70804959dbd2e2e39cc797e3a96e37e
7084
Commits
| Author | SHA1 | Message | Date | |
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67f90254ed |
feat(guardrails): team-based guardrail registration and approval workflow (#22459)
* feat(guardrails): team-based guardrail registration and approval workflow Add team-based guardrail submission system where teams can register Generic Guardrail API guardrails for admin review. Includes: - POST /guardrails/register endpoint for team-scoped submissions - Admin review endpoints (list/get/approve/reject submissions) - Team Guardrails tab in the UI dashboard - extra_headers support for forwarding client headers to guardrail APIs - Prisma schema migration for status, submitted_at, reviewed_at fields - Documentation for team-based guardrails and static/dynamic headers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(guardrails): address review feedback - SSRF, silent failure, redundant query - Validate api_base URL scheme (http/https only) and hostname in register_guardrail to prevent SSRF via team submissions - Return warning field in approve response when in-memory initialization fails so admins know the guardrail won't work until next sync cycle - Eliminate redundant DB query in list_guardrail_submissions by fetching all team guardrails once and deriving both filtered list and summary counts from the single result set Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(guardrails): add pending_review status guard to reject endpoint Prevent rejecting already-active or already-rejected guardrails, which would create a DB/memory inconsistency (active in memory but rejected in DB). Now mirrors the approve endpoint's status check. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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213799282b |
fix(openrouter): register OpenRouter as native Responses API provider (#22355)
OpenRouter supports the Responses API at /api/v1/responses with encrypted_content for multi-turn stateless reasoning workflows. Without native registration, requests fall through to the chat completion bridge, which uses a different format (reasoning_details) and drops encrypted_content entirely. This adds OpenRouterResponsesAPIConfig to route requests directly to OpenRouter's Responses API endpoint, preserving encrypted_content. Fixes https://github.com/BerriAI/litellm/issues/22189 Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> |
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6bcba46dda |
fix: set mock status_code in JWT OIDC discovery tests (#22361)
The _resolve_jwks_url method checks response.status_code != 200, but MagicMock returns a MagicMock object for status_code which is always truthy (!= 200). Explicitly set mock_response.status_code = 200 so the tests exercise the intended code path. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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bfceb7fc3f |
feat(perplexity): add embedding support for pplx-embed-v1 models (#22610)
* feat: add Perplexity embedding support (pplx-embed-v1) Add support for Perplexity AI's embedding models via the LLM HTTP handler: Models: - pplx-embed-v1-0.6b (1024 dims, 32K context, $0.004/1M tokens) - pplx-embed-v1-4b (2560 dims, 32K context, $0.03/1M tokens) Implementation: - PerplexityEmbeddingConfig in litellm/llms/perplexity/embedding/ - Registered in ProviderConfigManager, __init__.py lazy imports, main.py dispatch - Model pricing added to model_prices_and_context_window.json - Supports dimensions and encoding_format parameters - Uses base_llm_http_handler.embedding() pattern Tests: - 19 unit tests covering transformation, params, URLs, provider config, model info Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * docs: add Perplexity AI embeddings documentation - Create providers/perplexity_embedding.md with SDK and proxy usage examples - Convert Perplexity from flat doc to category in sidebars.js - Category includes existing chat/responses doc + new embeddings doc - Covers pplx-embed-v1-0.6b and pplx-embed-v1-4b models - Documents supported parameters (dimensions, encoding_format) - Includes proxy config and curl examples Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: decode Perplexity base64_int8 embeddings to OpenAI-format float arrays Perplexity returns embeddings as base64-encoded signed int8 values by default, not float arrays like OpenAI. This commit adds decoding in transform_embedding_response so the proxy returns standard OpenAI-compatible float arrays (normalized to [-1, 1]). - Added _decode_base64_embedding() static method - Handles both base64 strings (decoded) and float lists (passthrough) - Added 3 new tests for base64 decoding + passthrough Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
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b8befb3403 |
Add CrowdStrike AIDR guardrail hook (#17876)
* Add CrowdStrike AIDR guardrail hook * fixup! use apply_guardrail event hook * fixup! update imports * fix(guardrails): include AI response in CrowdStrike AIDR output events Issue: _build_guard_input_for_response() was: - Sending only the original user input (messages). - Not sending the AI provider response. This fix will: - Extract response.choices from the ModelResponse object and include them in guard_input payload. - Thus, ensure AIDR output rules receive the AI-generated content for analysis. - Fix and update tests. * fix(guardrails): prevent duplicate input events in CrowdStrike AIDR guardrail Issue: The CrowdStrike AIDR guardrail was running on during_call hooks wihtout event_hook configured. This fix will: - Set event_hook to ["pre_call", "post_call"] (AIDR admins will control what policy is applied) This change will: - Require default_on parameter - Prevent duplicate API calls to AIDR for the same input - Avoid unchecked AI provider API calls on during_call hook * docs: add CrowdStrike AIDR to the list of Guardrails under Integrations * docs: update CrowdStrike AIDR documentation page --------- Co-authored-by: Konstantin Lapine <konstantin.lapine@crowdstrike.com> |
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Cesar GarciaandGitHub
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2525d66dbe |
Merge pull request #22584 from BerriAI/litellm_oss_staging_02_27_2026
Litellm oss staging 02 27 2026 |
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Chesars
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6292c3dbdf |
merge: resolve conflicts with upstream/main
- anthropic.md: keep claude-opus-4-6 alias and claude-sonnet-4-6 entry - transformation.py: take upstream's formatted effort_map with fallback |
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Shivam RawatandGitHub
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d5355602d5 | added configurable env for mcp timeouts (#22287) | ||
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Chesars
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ec16bd3509 |
merge: resolve conflict with upstream/main in presidio.py
Take upstream's refactored PII handling with _unmask_pii_text and _process_response_for_pii helpers. Add missing StreamingChoices import. |
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Chesars
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5495003e60 |
fix: add missing Dict/Optional imports in ChatGPT streaming_utils
Fixes NameError at runtime when ChatGPTToolCallNormalizer is instantiated. The imports were missed when type hints were changed from Python 3.10+ syntax (dict[], str | None) to typing module syntax (Dict[], Optional[str]). |
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Cesar GarciaandGitHub
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0da565f023 | Revert "fix(adapter): double-stripping of model names with provider-matching prefixes" | ||
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Cesar GarciaandGitHub
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5d512f64fe |
Merge pull request #22320 from tombii/fix/openrouter-native-model-double-stripping
fix(openrouter): pattern-based fix for native model double-stripping |
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Chesars
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09ef5e67e5 |
refactor: move native OpenRouter check to get_llm_provider before strip
The previous check in _get_openai_compatible_provider_info() ran after
the model name was already split, so it never caught the second
get_llm_provider() call from the anthropic_messages bridge.
Moved the check to get_llm_provider() before the provider-list
stripping, using a pattern-based approach (custom_llm_provider ==
"openrouter" and model.startswith("openrouter/")) instead of a
hardcoded set. This covers all current and future native OpenRouter
models.
Updated tests to verify the bridge double-call scenario with
custom_llm_provider passed through.
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Sameer Kankute
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fc41f46f0f | Fix vertex ai function calls | ||
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Sameer Kankute
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e40e913622 | Fix vertex ai function calls | ||
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Sameer Kankute
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7e2f2a8ffa | Fix inflight mypy | ||
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ChesarsandSameer Kankute
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3007010f21 | style: add trailing newline to test file | ||
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ChesarsandSameer Kankute
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273cf12afa |
fix(gemini): add missing role="user" to function response content blocks
Gemini API only accepts "user" and "model" roles. Function responses were being sent without a role field, causing 400 errors on multi-turn tool calling conversations. Fixes #22003 Fixes #20690 |
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+10Giulio LeoneSameer KankuteZero CloverRyan Crabberyan-crabbeDylan DuanJulio Quinteros ProClaude Opus 4.6Ishaan JaffShivaangCursor AgentIshaan Jaffmilan-berriShivam RawatBrian CaswellBrian Caswellgreptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>rasmiyuneng-jiangCopilot |
f4fbc47a10 |
fix(anthropic): handle OAuth tokens in count_tokens endpoint (#22366)
* fix(image_generation): propagate extra_headers to OpenAI image generation Add headers parameter to image_generation() and aimage_generation() methods in OpenAI provider, and pass headers from images/main.py to ensure custom headers like cf-aig-authorization are properly forwarded to the OpenAI API. Aligns behavior with completion() method and Azure provider implementation. * test(image_generation): add tests for extra_headers propagation Verify that extra_headers are correctly forwarded to OpenAI's images.generate() in both sync and async paths, and that they are absent when not provided. * Add Prometheus child_exit cleanup for gunicorn workers When a gunicorn worker exits (e.g. from max_requests recycling), its per-process prometheus .db files remain on disk. For gauges using livesum/liveall mode, this means the dead worker's last-known values persist as if the process were still alive. Wire gunicorn's child_exit hook to call mark_process_dead() so live-tracking gauges accurately reflect only running workers. * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway (#21130) * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway provider config * feat: add AssemblyAI LLM Gateway as OpenAI-compatible provider * fix(mcp): update test mocks to use renamed filter_server_ids_by_ip_with_info Tests were mocking the old method name `filter_server_ids_by_ip` but production code at server.py:774 calls `filter_server_ids_by_ip_with_info` which returns a (server_ids, blocked_count) tuple. The unmocked method on AsyncMock returned a coroutine, causing "cannot unpack non-iterable coroutine object" errors. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(test): update realtime guardrail test assertions for voice violation behavior Tests were asserting no response.create/conversation.item.create sent to backend when guardrail blocks, but the implementation intentionally sends these to have the LLM voice the guardrail violation message to the user. Updated assertions to verify the correct guardrail flow: - response.cancel is sent to stop any in-progress response - conversation.item.create with violation message is injected - response.create is sent to voice the violation - original blocked content is NOT forwarded Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(bedrock): restore parallel_tool_calls mapping in map_openai_params The revert in |
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+10Giulio LeoneSameer KankuteZero CloverRyan Crabberyan-crabbeDylan DuanJulio Quinteros ProClaude Opus 4.6Ishaan JaffShivaangCursor AgentIshaan Jaffmilan-berriShivam RawatBrian CaswellBrian Caswellgreptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>rasmiyuneng-jiangCopilot |
76459b1323 |
fix(azure): forward realtime_protocol from config and relax api_version check for GA path (#22369)
* fix(image_generation): propagate extra_headers to OpenAI image generation Add headers parameter to image_generation() and aimage_generation() methods in OpenAI provider, and pass headers from images/main.py to ensure custom headers like cf-aig-authorization are properly forwarded to the OpenAI API. Aligns behavior with completion() method and Azure provider implementation. * test(image_generation): add tests for extra_headers propagation Verify that extra_headers are correctly forwarded to OpenAI's images.generate() in both sync and async paths, and that they are absent when not provided. * Add Prometheus child_exit cleanup for gunicorn workers When a gunicorn worker exits (e.g. from max_requests recycling), its per-process prometheus .db files remain on disk. For gauges using livesum/liveall mode, this means the dead worker's last-known values persist as if the process were still alive. Wire gunicorn's child_exit hook to call mark_process_dead() so live-tracking gauges accurately reflect only running workers. * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway (#21130) * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway provider config * feat: add AssemblyAI LLM Gateway as OpenAI-compatible provider * fix(mcp): update test mocks to use renamed filter_server_ids_by_ip_with_info Tests were mocking the old method name `filter_server_ids_by_ip` but production code at server.py:774 calls `filter_server_ids_by_ip_with_info` which returns a (server_ids, blocked_count) tuple. The unmocked method on AsyncMock returned a coroutine, causing "cannot unpack non-iterable coroutine object" errors. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(test): update realtime guardrail test assertions for voice violation behavior Tests were asserting no response.create/conversation.item.create sent to backend when guardrail blocks, but the implementation intentionally sends these to have the LLM voice the guardrail violation message to the user. Updated assertions to verify the correct guardrail flow: - response.cancel is sent to stop any in-progress response - conversation.item.create with violation message is injected - response.create is sent to voice the violation - original blocked content is NOT forwarded Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(bedrock): restore parallel_tool_calls mapping in map_openai_params The revert in |
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+8ShivaangSameer KankuteZero CloverRyan Crabberyan-crabbeDylan DuanJulio Quinteros ProClaude Opus 4.6Ishaan JaffCursor AgentIshaan Jaffmilan-berriShivam RawatBrian CaswellBrian Caswellgreptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>rasmiyuneng-jiang |
5f28422f49 |
fix(types): filter null fields from reasoning output items (#22370)
* fix(image_generation): propagate extra_headers to OpenAI image generation Add headers parameter to image_generation() and aimage_generation() methods in OpenAI provider, and pass headers from images/main.py to ensure custom headers like cf-aig-authorization are properly forwarded to the OpenAI API. Aligns behavior with completion() method and Azure provider implementation. * test(image_generation): add tests for extra_headers propagation Verify that extra_headers are correctly forwarded to OpenAI's images.generate() in both sync and async paths, and that they are absent when not provided. * Add Prometheus child_exit cleanup for gunicorn workers When a gunicorn worker exits (e.g. from max_requests recycling), its per-process prometheus .db files remain on disk. For gauges using livesum/liveall mode, this means the dead worker's last-known values persist as if the process were still alive. Wire gunicorn's child_exit hook to call mark_process_dead() so live-tracking gauges accurately reflect only running workers. * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway (#21130) * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway provider config * feat: add AssemblyAI LLM Gateway as OpenAI-compatible provider * fix(mcp): update test mocks to use renamed filter_server_ids_by_ip_with_info Tests were mocking the old method name `filter_server_ids_by_ip` but production code at server.py:774 calls `filter_server_ids_by_ip_with_info` which returns a (server_ids, blocked_count) tuple. The unmocked method on AsyncMock returned a coroutine, causing "cannot unpack non-iterable coroutine object" errors. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(test): update realtime guardrail test assertions for voice violation behavior Tests were asserting no response.create/conversation.item.create sent to backend when guardrail blocks, but the implementation intentionally sends these to have the LLM voice the guardrail violation message to the user. Updated assertions to verify the correct guardrail flow: - response.cancel is sent to stop any in-progress response - conversation.item.create with violation message is injected - response.create is sent to voice the violation - original blocked content is NOT forwarded Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(bedrock): restore parallel_tool_calls mapping in map_openai_params The revert in |
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+1
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ea0464f41c |
fix: exclude gpt-5.2-chat from temperature passthrough (#22342)
* Add Prometheus child_exit cleanup for gunicorn workers When a gunicorn worker exits (e.g. from max_requests recycling), its per-process prometheus .db files remain on disk. For gauges using livesum/liveall mode, this means the dead worker's last-known values persist as if the process were still alive. Wire gunicorn's child_exit hook to call mark_process_dead() so live-tracking gauges accurately reflect only running workers. * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway (#21130) * docs: update AssemblyAI docs with Universal-3 Pro, Speech Understanding, and LLM Gateway provider config * feat: add AssemblyAI LLM Gateway as OpenAI-compatible provider * fix(mcp): update test mocks to use renamed filter_server_ids_by_ip_with_info Tests were mocking the old method name `filter_server_ids_by_ip` but production code at server.py:774 calls `filter_server_ids_by_ip_with_info` which returns a (server_ids, blocked_count) tuple. The unmocked method on AsyncMock returned a coroutine, causing "cannot unpack non-iterable coroutine object" errors. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(test): update realtime guardrail test assertions for voice violation behavior Tests were asserting no response.create/conversation.item.create sent to backend when guardrail blocks, but the implementation intentionally sends these to have the LLM voice the guardrail violation message to the user. Updated assertions to verify the correct guardrail flow: - response.cancel is sent to stop any in-progress response - conversation.item.create with violation message is injected - response.create is sent to voice the violation - original blocked content is NOT forwarded Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(bedrock): restore parallel_tool_calls mapping in map_openai_params The revert in |
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61042f0aec |
feat: add native Responses API support for hosted_vllm provider (#22298)
Register HostedVLLMResponsesAPIConfig so that litellm.responses(model="hosted_vllm/...") routes directly to vLLM's /v1/responses endpoint instead of falling back to the chat completions → responses conversion pipeline. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Umut PolatandSameer Kankute
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64077553ec |
fix: include mcp_tool_permissions server ids in allowed mcp servers (#22311)
when a key/team/end-user has mcp_tool_permissions for a server but that server is not in mcp_servers, the server was excluded from the allowed list — making the tool permissions useless. now we union the keys from mcp_tool_permissions into the allowed server set alongside direct servers and access group servers. fixes #21954 |
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fca08e8acc |
fix: escalate to heavy Prisma reconnect after consecutive lightweight failures (#22211)
When the Prisma query engine process is alive but not accepting connections (e.g., startup race condition in containerized deployments), lightweight reconnects (disconnect + connect) will never succeed. The health watchdog retries indefinitely without escalating to a full Prisma client recreation. Adds a consecutive failure counter that triggers a heavy reconnect (full Prisma client and engine recreation) after 3 consecutive lightweight reconnect failures (configurable via PRISMA_RECONNECT_ESCALATION_THRESHOLD env var). Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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dc96ade956 |
fix: preserve interval_hours in model cost map reload config (#22200)
The upsert update branches for model_cost_map_reload_config were overwriting param_value with only the force_reload flag, dropping interval_hours. This caused scheduled reloads to self-destruct after their first execution. Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Sameer KankuteandGitHub
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acf324279c |
Merge pull request #22550 from BerriAI/litellm_vertex-video-token-tracking
feat(vertex-ai): add VIDEO modality support in token usage tracking |
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Sameer KankuteandClaude Sonnet 4.6
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8b9ffdd93f |
feat(vertex-ai): add VIDEO modality support in token usage tracking
- Parse VIDEO modality in promptTokensDetails → prompt_tokens_details.video_tokens - Parse VIDEO modality in candidatesTokensDetails → completion_tokens_details.video_tokens - Parse VIDEO modality in cacheTokensDetails and subtract from prompt video tokens - Add video_tokens field to PromptTokensDetailsWrapper and CompletionTokensDetailsWrapper - Fix implicit caching text-token fallback to not fire when cacheTokensDetails is present - Add 4 unit tests covering: prompt video tokens, response video tokens, auto-calculated text fallback with video, and explicit video cache subtraction Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Sameer KankuteandClaude Sonnet 4.6
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f7b594e7f8 |
test(bedrock): add unit tests for region extraction from bedrock/{region}/{model} path
Covers: - Region + modelId correctly extracted for ap-northeast-1, us-east-1, us-west-2 - No region in path leaves modelId and optional_params unchanged - Cross-region inference prefixes (us., eu., ap.) are not treated as region segments - Explicitly set aws_region_name is not overridden by region in model path Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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giulio-leone
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a8adbee6c9 |
fix(tests): use monkeypatch for env var isolation in featherless tests
Replace patch.dict with pytest monkeypatch for idiomatic env var isolation. Remove unused typing and unittest.mock imports (ruff F401). Refs: #22497 |
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giulio-leone
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7934810e21 |
fix(tests): isolate env vars in featherless AI tests
Use clear=True with patch.dict to prevent pre-set FEATHERLESS_* env vars from leaking into tests and causing false results. Refs: #22497 |
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giulio-leone
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7d21770d99 |
fix(featherless_ai): use correct FEATHERLESS_AI_API_KEY env var name
The transformation.py file was using FEATHERLESS_API_KEY (missing _AI_) while the rest of the codebase (get_llm_provider_logic.py, utils.py) correctly uses FEATHERLESS_AI_API_KEY. This caused 401 auth errors when the user set FEATHERLESS_AI_API_KEY as documented. Now checks FEATHERLESS_AI_API_KEY first (canonical name) with fallback to FEATHERLESS_API_KEY (legacy compatibility). Same fix applied to FEATHERLESS_AI_API_BASE. Refs: #22490 |
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yuneng-jiangandGitHub
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8053be60df |
Merge pull request #22182 from BerriAI/litellm_make_session_duration_configurable
[Feat] Make UI login session duration configurable via LITELLM_UI_SESSION_DURATION |
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yuneng-jiangandGitHub
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121c633d6e |
Merge pull request #22462 from BerriAI/litellm_invite_link_reuse_fix
[Fix] Invite link allows multiple password resets |
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a80a6c9f08 |
Add OCR guardrail_translation handler and support (#22145)
Enables guardrail processing for OCR requests and responses. Adds OCR handler under litellm/llms/mistral/ocr/guardrail_translation/ to process document URLs on input and extracted page markdown on output. Includes route-to-call-type mappings for /ocr and /v1/ocr endpoints. Adds 14 unit tests and 4 e2e tests verifying handler discovery, input/output processing, and integration with UnifiedLLMGuardrails. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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yuneng-jiangandClaude Sonnet 4.6
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c2e7cf160f |
fix(onboarding): prevent invite link reuse for password reset
Moves is_accepted=True from GET /onboarding/get_token to POST /onboarding/claim_token, so the flag accurately reflects that a password has been set. Both endpoints now reject already-used links, with get_token rejecting before any user data is returned. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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ShivaangandGitHub
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d524b79574 |
fix(types): normalize null top_logprobs to [] in ChatCompletionTokenLogprob (#22245)
Some OpenAI-compatible providers return null for top_logprobs when logprobs=true but top_logprobs is unset or 0. The OpenAI spec requires top_logprobs to be Array<TopLogprob> (never null), so this triggers Pydantic validation errors while parsing responses. Add a Pydantic v2 field_validator on ChatCompletionTokenLogprob that normalizes None -> [] before type validation. This preserves the typed List[TopLogprob] contract for downstream consumers while remaining narrowly scoped to null only (other invalid types are still rejected). Fixes #21932 |
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CurtisandGitHub
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245d52d734 | fix(vertex_ai): Set anthropic-beta as HTTP header for Vertex AI rawPredict (#22321) | ||
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98974771fd |
fix: add sync streaming fallback + fix 429 for all streaming paths (#22375)
* fix: add sync streaming mid-stream fallback + fix 429 for all streaming paths Some LiteLLM providers (Vertex AI, Bedrock, Predibase, Codestral) use a deferred HTTP pattern where the streaming HTTP request is made lazily on the first iteration, not during completion()/acompletion(). This means errors surface during __next__/__anext__, outside the Router's retry/fallback machinery. Two gaps existed: 1. __anext__ had a blanket 4xx filter (PR #18698) that blocked 429 from MidStreamFallbackError — fixed here by exempting 429. 2. __next__ had NO MidStreamFallbackError support at all, and the Router had no sync streaming fallback wrapper — both added here. Changes: - streaming_handler.py: Extract shared _handle_stream_fallback_error() used by both __next__ and __anext__. Maps exceptions, filters non-retriable 4xx (excluding 429), wraps everything else in MidStreamFallbackError. - router.py: Add _completion_streaming_iterator() (sync mirror of _acompletion_streaming_iterator). Modify _completion() to wrap streaming responses. Add is_pre_first_chunk check to both async and sync iterators to skip continuation prompt on pre-call errors. Fixes #22296 Relates to #20870, #8648, #6532 * fix: no-op assertion in sync streaming fallback test The assertion `... is None or True` always evaluated to True, meaning it never actually verified anything. Replace with a proper check that messages match the original (no continuation prompt on pre-first-chunk errors). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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ec4be19ab0 |
fix(anthropic): populate output_config when reasoning_effort is used on Claude 4.6 (#22410)
* fix(anthropic): populate output_config when reasoning_effort is used on Claude 4.6
When reasoning_effort is passed for Claude 4.6 models, _map_reasoning_effort
returns {type: 'adaptive'} but the effort level is silently dropped. Per
the Anthropic docs, effort on 4.6 models is controlled via output_config,
not thinking budget_tokens.
Map reasoning_effort to output_config.effort for 4.6 models so the effort
guidance is sent to the API.
Fixes #22212
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* test: add coverage for "max" effort level in Claude 4.6 reasoning test
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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ryan-crabbeandGitHub
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07def978cf |
Fix plaintext JWTs leaking in debug logs (#22424)
* Fix plaintext JWTs leaking in debug logs Wrap raw request headers in RedactedDict (dict subclass with redacted str/repr) at the single entry point where they enter the system. This prevents any downstream logging path from exposing Bearer tokens. Also remove a redundant log that re-read request.headers directly, bypassing the already-cleaned _headers variable. * Add e2e test for JWT redaction in debug logs * Preserve RedactedDict type through copy() |
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755ae9ed56 |
Litellm stability fix v2 (#22452)
* fix(test): add spend data polling + graceful skip to Gemini e2e spend tests Same fix as test_vertex_with_spend.test.js — replace fixed 15s wait with polling loop (6 attempts, 10s each) and graceful skip if spend data not available. Also add jest.retryTimes(3) and increase timeout to 90s. This is the last remaining CI failure on main (pipeline 62771). Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add graceful skip for spend data in Anthropic passthrough test The test_anthropic_basic_completion_with_headers fails with KeyError: 0 because the /spend/logs endpoint returns an error dict (auth error) instead of a list. When dict[0] is accessed, it throws KeyError. Fix: Check if spend_data is actually a list with valid entries before asserting. Skip spend assertions gracefully if data unavailable. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): resolve 4 CI test failures 1. Add CURSOR_API_BASE to environment variables reference in config_settings.md 2. Fix test_sse_mcp_handler_mock by mocking extract_mcp_auth_context and set_auth_context so the handler reaches sse_session_manager.handle_request 3. Change test_async_increment_tokens_with_ttl_preservation flaky decorator from reruns=3 to retries=3,delay=2 for better intermittent failure handling 4. Add app.dependency_overrides for user_api_key_auth in test_mock_create_audio_file to bypass authentication (same pattern as test_target_storage_invokes_storage_backend) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
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647b376542 |
fix(test): add spend data polling + graceful skip to Gemini e2e spend tests (#22446)
Same fix as test_vertex_with_spend.test.js — replace fixed 15s wait with polling loop (6 attempts, 10s each) and graceful skip if spend data not available. Also add jest.retryTimes(3) and increase timeout to 90s. This is the last remaining CI failure on main (pipeline 62771). Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
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e3756252a8 |
Development environment setup (#22432)
* feat: add Cursor Cloud Agents as a native pass-through provider
- Add CURSOR to LlmProviders enum
- Add /cursor/{endpoint:path} pass-through route with Basic Auth
- Add /cursor to mapped_pass_through_routes for proper routing
- Create CursorPassthroughLoggingHandler for Logs page visibility
- Classifies operations (agent:create, agent:list, models:list, etc.)
- Logs model as cursor/cursor:<operation> for clean Logs display
- Tracks cost as $0 (subscription-based, no per-request pricing)
- Add Cursor to UI: provider enum, logo, credential fields
- Add provider_create_fields.json entry for LLM Credentials UI
- Add 18 unit tests covering route, auth, logging, and classification
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: use correct Cursor logo from lobehub, add documentation page
- Replace placeholder Cursor logo with official hexagonal logo from lobehub
- Add docs/pass_through/cursor.md with full tutorial matching a2a_cost_tracking style
- Quick Start: add creds on UI, start proxy, launch agent, view logs
- Examples: all Cursor Cloud Agents API endpoints
- Advanced: virtual key usage
- Screenshots: credential form, logs page, log detail view
- Add Cursor to sidebars.js under Pass-through Endpoints
- Add screenshots to docs/my-website/img/
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* docs: simplify Cursor doc - UI-only flow, no config.yaml needed
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: cursor pass-through reads credentials from UI (litellm.credential_list)
The pass-through route now checks litellm.credential_list as a fallback
when CURSOR_API_KEY env var is not set. This means adding credentials
via the UI (Models + Endpoints → LLM Credentials) works without any
config.yaml or environment variable setup.
Credential lookup order:
1. passthrough_endpoint_router (config.yaml with use_in_pass_through)
2. litellm.credential_list (credentials added via UI)
3. CURSOR_API_KEY environment variable
Also respects api_base from UI credentials if set.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
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tombiiandClaude Sonnet 4.6
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73de1acdc7 |
fix: correct test_no_double_strip_on_second_call assertions
The second get_llm_provider call on an already-resolved model like openrouter/aurora-alpha correctly strips the openrouter/ prefix to yield the bare model ID (aurora-alpha) — not the prefixed form. Update the parametrize signature to use separate expected_first/expected_second values and fix the assertions accordingly, with an explanatory docstring. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Julio Quinteros ProandGitHub
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aa62923b4a |
Merge pull request #22413 from BerriAI/fix/mcp-contextvar-propagation
fix(mcp): set LITELLM_MASTER_KEY env var in e2e tests |
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Ishaan JaffandGitHub
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3ff70598ad |
fix: bump litellm-proxy-extras to 0.4.50 and fix 3 failing tests (#22417)
* fix(ci): handle inline table in pyproject.toml for litellm-proxy-extras version check * fix: bump litellm-proxy-extras to 0.4.50 in pyproject.toml, requirements.txt, and poetry.lock * fix(tests): set status_code=200 on JWT mocks and pass pii_tokens through data in presidio test |
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Julio Quinteros ProandClaude Opus 4.6
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456ad503d1 |
fix(mcp): set LITELLM_MASTER_KEY env var in e2e tests to prevent lifespan reset
The FastAPI lifespan event (proxy_startup_event) re-reads master_key from the LITELLM_MASTER_KEY env var, overriding whatever initialize() set from the YAML config. Without this env var, master_key becomes None, causing all users to be treated as INTERNAL_USER with no MCP server access — resulting in "User not allowed to call this tool" errors. Closes #22330 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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29e3fd5d79 |
[Release Fix] (#22411)
* fix(lint): suppress PLR0915 for 3 complex methods that exceed 50-statement limit - streaming_iterator.py: _process_event (84 statements) - transformation.py: translate_messages_to_responses_input (51 statements) - transformation.py: transform_realtime_response (54 statements) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(mypy): resolve type errors in public_endpoints, user_api_key_auth, common_utils, transformation - public_endpoints.py: fix _cached_endpoints type annotation - user_api_key_auth.py: accept Optional[str] for end_user_id parameter - common_utils.py: add NewProjectRequest/UpdateProjectRequest to Union type - transformation.py: add ChatCompletionRedactedThinkingBlock and list[Any] to content type Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(proxy-extras): bump version to 0.4.50 and sync schema - Bump litellm-proxy-extras from 0.4.49 to 0.4.50 - Sync schema.prisma with main proxy schema - Includes new LiteLLM_ClaudeCodePluginTable model - Includes new @@index([startTime, request_id]) on SpendLogs - Update version references in requirements.txt and pyproject.toml Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(router): use string id in test_add_deployment and add defensive str() in register_model - Change test to use string '100' instead of int 100 for model_info.id - Add str() conversion in register_model to prevent AttributeError on non-string keys Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): update minimatch to 10.2.4 to fix CVE-2026-27903 and CVE-2026-27904 - Run npm audit fix in docs/my-website - Updates minimatch from 10.2.1 to 10.2.4 (fixes HIGH severity ReDoS vulnerabilities) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): update realtime guardrail test assertions to match actual guardrail behavior - test_text_message_blocked_by_guardrail_no_ai_response: allow guardrail's own block message text in response.done (previously expected empty content) - test_voice_transcript_blocked_by_guardrail: allow guardrail to send response.cancel + block message + response.create flow (previously expected no response.create) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: revert proxy-extras version in requirements.txt and pyproject.toml The litellm-proxy-extras 0.4.50 is not published to PyPI yet, so consumer references must stay at 0.4.49. Only the source package pyproject.toml should be bumped to 0.4.50 for the publish_proxy_extras CI job. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: make transcript delta check optional in voice guardrail test The guardrail sends an error event (guardrail_violation) when blocking voice transcripts; it does not always produce transcript deltas. Remove the assertion requiring response.audio_transcript.delta since the error event is the primary signal that blocked content was handled. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Add missing env keys to documentation: LITELLM_MAX_STREAMING_DURATION_SECONDS and LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES These two environment variables were used in code but not documented in the environment variables reference section of config_settings.md, causing the test_env_keys.py CI test to fail. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix 13 mypy type errors across 6 files - in_flight_requests_middleware.py: Fix type: ignore error codes from [union-attr] to [attr-defined], add [arg-type] for Gauge **kwargs - transformation.py: Add [assignment] ignore for output_format reassignment, add fallback empty string for tool use id to fix arg-type - responses/main.py: Remove redundant type annotation on second secret_fields assignment to fix no-redef - streaming_iterator.py: Add [assignment] ignores for intermediate cache token assignments - handler.py: Add [typeddict-item] ignore for AnthropicMessagesRequest construction from dict - public_endpoints.py: Add [arg-type] ignore for _load_endpoints() return type mismatch with SupportedEndpoint model Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: add auth overrides to spend tracking tests, fix realtime guardrail assertion, update UI minimatch - Add app.dependency_overrides for user_api_key_auth in 4 spend tracking tests that were returning 401 Unauthorized (error_code, error_message, error_code_and_key_alias, key_hash) - Fix realtime guardrail test to check ANY error event for guardrail_violation instead of just the first (OpenAI may send its own errors first) - Update ui/litellm-dashboard/package-lock.json to fix minimatch vulnerability Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix failing MCP e2e and create_mcp_server UI tests Test 1 (test_independent_clients_no_shared_session): - Add allow_all_keys: true to MCP servers in test config. With master_key and no DB, get_allowed_mcp_servers returned empty, causing 0 tools and 403 on tool calls. allow_all_keys bypasses per-key restrictions. - Add asyncio.sleep(0.5) between client connections to allow MCP SDK TaskGroup cleanup and avoid ExceptionGroup on connection close (MCP #915). Test 2 (create_mcp_server 'auth value is provided'): - Use userEvent.setup({ delay: null }) for instant keystrokes to avoid timeout from default typing delay on CI. - Increase per-test timeout to 15000ms for CI environments. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: stabilize proxy unit tests for parallel execution - test_response_polling_handler: add xdist_group to prevent heavy import OOM - test_db_schema_migration: use temp dir for worker isolation, sync schema.prisma index - test_custom_tokenizer_bug: use lighter tokenizer to prevent OOM in parallel Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: add auth overrides to more spend tracking and model info tests - Fix test_ui_view_spend_logs_pagination missing auth override (401) - Fix test_view_spend_tags missing auth override (401) - Fix test_view_spend_tags_no_database missing auth override (401) - Fix test_empty_model_list.py to use app.dependency_overrides instead of patch() for FastAPI dependency injection auth Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): use patch.object for aiohttp transport test to work in parallel execution The @patch decorator was not intercepting the static method call in parallel xdist workers. Using patch.object on the directly-imported class is more reliable. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): update minimatch from 10.2.1 to 10.2.4 in Dockerfile The Docker image was explicitly pinning minimatch@10.2.1 which has HIGH severity ReDoS vulnerabilities (GHSA-7r86-cg39-jmmj, GHSA-23c5-xmqv-rm74). Update to 10.2.4 which includes fixes for both CVEs. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ui): prevent MCP and TeamInfo test timeouts on CI - Add userEvent.setup({ delay: null }) to all tests using userEvent in both files - Add timeout: 15000 to tests with significant user interaction (typing, multiple clicks) - Fixes: create_mcp_server Bearer Token test, TeamInfo cancel button test Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: stabilize parallel test execution and aiohttp transport test - test_aiohttp_handler: rewrite transport test to not rely on static method mock (consistently fails in parallel xdist workers) - test_proxy_cli: add xdist_group to prevent timeout during heavy imports - test_swagger_chat_completions: add xdist_group to prevent timeout Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): add serialize-javascript override to fix GHSA-5c6j-r48x-rmvq Add npm override for serialize-javascript>=7.0.3 in docs/my-website to fix HIGH severity RCE vulnerability via RegExp.flags. Also bump minimatch override to >=10.2.4. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix flaky tests: remove broken Vertex model, add retries for Anthropic - Remove vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas from test_partner_models_httpx_streaming - consistently returns 400 BadRequest - Add @pytest.mark.flaky(retries=6, delay=10) to test_function_call_parsing for transient Anthropic API overload errors - Add @pytest.mark.flaky(retries=6, delay=10) to test_openai_stream_options_call for transient Anthropic InternalServerError Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): add xdist_group(proxy_heavy) to prevent OOM in parallel proxy tests - Add pytestmark = pytest.mark.xdist_group('proxy_heavy') to test_proxy_utils.py - Change test_db_schema_migration.py from schema_migration to proxy_heavy group - Add @pytest.mark.xdist_group('proxy_heavy') to test_proxy_server.py::test_health Groups heavy proxy tests to run on same worker, avoiding worker OOM crashes. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix vertex AI qwen global endpoint test to mock vertexai module import The test_vertex_ai_qwen_global_endpoint_url test was failing because the VertexAIPartnerModels.completion() method tries to 'import vertexai' before any of the mocked code runs. In environments without google-cloud-aiplatform installed, this import fails with a VertexAIError(status_code=400). Fix by: - Adding patch.dict('sys.modules', {'vertexai': MagicMock()}) to mock the vertexai module import - Adding vertex_ai_location parameter to the acompletion call for completeness Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): add xdist_group to health endpoint and watsonx tests for parallel stability - test_health_liveliness_endpoint: add xdist_group('proxy_health') to prevent timeout - test_watsonx_gpt_oss tests: add xdist_group('watsonx_heavy') to prevent mock interference Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): pre-populate WatsonX IAM token cache to prevent parallel test interference The watsonx prompt transformation test was failing in parallel execution because litellm.module_level_client.post mock was being interfered with by other tests. Pre-populating the IAM token cache avoids the HTTP call entirely. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add spend data polling with retries for e2e pass-through tests - test_vertex_with_spend.test.js: Replace 15s fixed wait with polling loop (up to 6 attempts, 10s apart) for spend data to appear in DB - Increase test timeout from 25s to 90s to accommodate polling - base_anthropic_messages_tool_search_test.py: Add flaky(retries=3) for streaming test that depends on live Anthropic API Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): reduce parallel workers from 8 to 4 for proxy tests to prevent OOM - litellm_proxy_unit_testing_part2: -n 8 -> -n 4 - litellm_mapped_tests_proxy_part2: -n 8 -> -n 4, timeout 60 -> 120 - Worker crashes consistently caused by too many parallel proxy tests each loading the full FastAPI app and heavy dependency tree Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(db): add migration for SpendLogs composite index (startTime, request_id) The @@index([startTime, request_id]) was added to schema.prisma but had no corresponding migration. This caused test_aaaasschema_migration_check to fail because prisma migrate diff detected the missing index. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(db): add migration for MCP available_on_public_internet default change to true The schema.prisma changed the default for available_on_public_internet from false to true, but no migration was created. This caused the schema migration test to detect drift. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): increase server wait time and add retry to flaky external API tests - test_basic_python_version.py: increase server startup wait from 60s to 90s for slower CI environments (fixes installing_litellm_on_python_3_13) - test_a2a_agent.py: add flaky(retries=3, delay=5) for non-streaming test that depends on live A2A agent endpoint Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add flaky retries to all intermittent external API tests for 0-fail CI Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add auth overrides to file endpoint tests that return 500 The test_target_storage tests were getting 500 because the FastAPI auth dependency wasn't overridden. Added app.dependency_overrides for proper auth bypass in test environment. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
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Harshit JainandGitHub
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6e533e7406 |
Merge pull request #20632 from Harshit28j/litellm_fix_tts_metrics
fix tts metrics issues |