[Infra] Promote internal staging to main - #27815
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…onds fields OVHCloud is deprecating two response fields on 2026-05-11: - reasoning_content replaced by reasoning (LLM reasoning models) - duration replaced by seconds (Speech-to-Text models) Adds backward-compatible support for both field names during the transition window, preferring the new field when present and falling back to the legacy field. Fixes #26586
Replaces falsy or with explicit is not None check so that a valid seconds=0.0 value is not silently dropped during field migration. Addresses Greptile review feedback on #26595
…ions for Responses API Fixes #25840 The OTel integration's set_attributes() method never populates gen_ai.output.messages, gen_ai.system_instructions, or gen_ai.response.finish_reasons for /v1/responses calls because ResponsesAPIResponse uses 'output' instead of 'choices' and the system prompt arrives as 'instructions' instead of 'system_instructions'. Changes: - Add elif branch for response_obj.get('output') to extract response text from Responses API output items (type='message'/output_text) and tool calls (type='function_call') - Coalesce system_instructions/instructions/system kwargs so the system prompt is captured for Responses API, Anthropic Messages API, and Vertex AI Gemini paths - Handle plain-string system prompts without unnecessary wrapping - Extract response_obj.get('status') as finish reason for Responses API - Add _transform_responses_api_output_to_otel() method
…uctions, and finish reasons Add 21 tests covering the new Responses API OTel attribute handling: TestOpenTelemetryResponsesAPI (13 tests): - gen_ai.output.messages from output items (text, function_call, mixed, multi-part) - gen_ai.response.finish_reasons from ResponsesAPIResponse.status - gen_ai.system_instructions from instructions/system/system_instructions kwargs - Precedence and absence edge cases - Regression test for existing choices-based responses TestTransformResponsesAPIOutput (8 tests): - Message with output_text, function_call items, unknown types - Edge cases: empty output, empty text, missing call_id, default role, non-dict items
Build the tool_call part dict separately with an explicit type annotation so mypy can track the type, avoiding the 'Unsupported target for indexed assignment' error on tool_call["parts"][0]["id"].
…r-tool-call attrs - Replace isinstance(item, dict) with hasattr(item, 'get') so Pydantic model instances (ResponseOutputMessage, ResponseFunctionToolCall) are accepted alongside plain dicts (P1) - Use 'is not None' guards instead of or-chain for system_instructions coalescing to prevent falsy values (e.g. []) falling through to the wrong kwarg (P2) - Emit per-tool-call span attributes (gen_ai.completion.N.function_call.*) for Responses API function_call items, matching the choices branch parity with _tool_calls_kv_pair (P2) - Add 4 new tests: Pydantic-like objects, falsy fallthrough guard, per-tool-call attribute emission, multiple tool call indexing
…onses Adds transform_response to OVHCloudChatConfig to normalise the new easoning field to easoning_content in non-streaming responses, matching the existing streaming fix in chunk_parser. Addresses maintainer feedback on #26595
The parent OpenAIGPTConfig already handles reasoning->reasoning_content for non-streaming via _extract_reasoning_content. The override was dead code giving false confidence. Streaming fix in chunk_parser is the only change needed for chat completions. Addresses Agent Shin review feedback on #26595
…y handles non-streaming via _extract_reasoning_content
…mation The openai SDK returns ResponseOutputMessage and ResponseOutputText as raw Pydantic v2 models that lack .get() (unlike LiteLLM's own wrapper objects). Add a _to_dict() helper that normalizes plain dicts, BaseLiteLLMOpenAIResponseObject (has .get()), and raw Pydantic models (has .model_dump()) into a consistent dict interface.
Iterate user/key/team/team_member/org/end_user/tag spend dicts in sorted order inside each Prisma transaction so concurrent pods acquire row locks in the same order, avoiding PostgreSQL deadlocks under load.
…nto OpenAPI schema
Co-authored-by: ishaan-berri <ishaan-berri@users.noreply.github.com>
Co-authored-by: ishaan-berri <ishaan-berri@users.noreply.github.com>
Squash-merged by litellm-agent from oss-pr-review-agent-shin[bot]'s PR.
…26325) Squash-merged by litellm-agent from milan-berri's PR.
Adds a Last Minute option as the first entry in the logs page time-range quick-select dropdown. Tests verify the UI passes a ~1-minute window (start_date / end_date) to uiSpendLogsCall when selected.
Squash-merged by litellm-agent from Michael-RZ-Berri's PR.
… gpt-image-1 Second wave of failures from the 2026-05-12 DALL-E shutdown: - tests/image_gen_tests/test_image_edits.py::TestOpenAIImageEditDallE2 and tests/image_gen_tests/test_image_generation.py::TestOpenAIDalle3 are explicitly named for the deprecated models and can't pass; remove. gpt-image-1 coverage already exists in sibling classes. - tests/local_testing/test_router.py image gen tests use dall-e-3 only as a routing example; swap to gpt-image-1. - tests/local_testing/test_custom_callback_input.py image_generation success/failure paths swapped to gpt-image-1.
Caller-supplied tags (`x-litellm-tags` header, body `tags`, `metadata.tags`) were silently dropped unless the key/team had `metadata.allow_client_tags: true` set. Restore the documented behavior: tags from the request always flow into `metadata.tags` and union with any admin-configured static tags from key/team/project metadata. Removes the `allow_client_tags` opt-in flag from the pre-call pipeline. The flag was only ever read here; it has no schema or endpoint footprint, so leftover values in existing key metadata are inert. Test cleanup mirrors the simplification: drop the three tests that verified the strip-when-not-opted-in path, drop the `allow_client_tags` fixture lines from the merge/union tests.
The tag-strip block was removed in the parent commit but two surrounding comments still referenced "tags without opt-in" and "runs AFTER the strip". Update them to describe the remaining user_api_key_* and _pipeline_managed_guardrails strip that the snapshot/merge ordering actually protects against.
* feat(ui): add Vertex AI Search as vector store provider Adds a "Vertex AI Search" entry to the provider dropdown (custom_llm_provider=vertex_ai/search_api) with fields for project, location (global/us/eu select), and optional collection ID. Extends VectorStoreFieldConfig with `options` so select fields can be data-driven instead of falling through to the embedding-model list. * fix(ui): clarify vertex_collection_id placeholder copy Placeholder previously displayed "default_collection" — the literal fallback value — which invited users to type it instead of leaving the field blank. Switch to an example placeholder and tighten the tooltip.
* fix(proxy): resolve cache handling issues in _lookup_deprecated_key - Updated the in-memory cache for deprecated key lookups to store a 3-tuple (active_token_id, cache_expires_at_ts, revoke_at_ts) instead of a 2-tuple, ensuring proper unpacking and backward compatibility. - Removed duplicate cache reads and added logic to handle legacy cache entries gracefully. - Enhanced unit tests to cover scenarios for cache hits, DB misses, and respect for revoke_at timestamps, ensuring robust handling of the grace-period key-rotation feature. * refactor(proxy): streamline cache handling in _lookup_deprecated_key - Simplified the cache retrieval logic by directly unpacking the 3-tuple cache entries, removing the need for backward compatibility checks for 2-tuple entries. - Updated unit tests to ensure that pre-warmed 3-tuple cache entries are served correctly without unnecessary database lookups. * chore(ci): add new unit test for deprecated key grace period - Included `test_deprecated_key_grace_period.py` in the CI workflow to enhance coverage for deprecated key handling scenarios. * fix(proxy): remove unnecessary check for revoke_at in _lookup_deprecated_key - Eliminated the redundant check for None on revoke_at, streamlining the logic for handling deprecated keys in the cache. This change enhances the efficiency of the key lookup process. * test(proxy): add end-to-end tests for deprecated key lookup behavior - Introduced a new test class `TestDeprecatedKeyLookupDbE2E` to validate the behavior of deprecated key lookups against a real Prisma-backed database. - The test ensures that old key hashes resolve correctly and that repeated lookups utilize the in-memory cache without errors. - Cleaned up the `_lookup_deprecated_key` function by removing an unnecessary check for `revoke_at`, enhancing the efficiency of the key lookup process.
…ypass A non-admin caller could rebind their own key's ``user_id`` via ``/key/regenerate``. ``_execute_virtual_key_regeneration`` had org/team guards but no ``user_id`` guard, and ``prepare_key_update_data`` did not strip the field — it survived ``model_dump(exclude_unset=True)`` into the Prisma update. On the next request, ``_return_user_api_key_auth_obj`` resolved the rebound ``user_id`` against ``litellm_usertable`` and returned ``PROXY_ADMIN`` whenever the target row's ``user_role`` was admin (e.g. the default ``user_id="default_user_id"`` created on first password-UI login). ``/key/update`` had the equivalent guard inline at ``_validate_update_key_data``; extract it to a shared helper ``_validate_caller_can_change_key_ownership`` and call from both ``/key/update`` and ``_execute_virtual_key_regeneration``. Future regenerate-style endpoints inherit the guard for free. Also tighten the premium gate that allowed the master-key rotation branch to skip the enterprise check. The previous predicate was ``data.new_master_key is not None`` — a field-presence test, not an identity check. Any non-premium caller could send any value in that field and the premium check would no-op. Verify the caller actually holds the master key via ``_is_master_key`` before allowing the non-premium path. Tests: - ``test_regenerate_user_id_rebind_guard`` — parametrized table over cross-user rebind (blocked), empty-string removal (blocked), and same-user no-op rebind (allowed). - ``test_regenerate_premium_gate_requires_actual_master_key`` / ``test_regenerate_premium_gate_allows_actual_master_key_holder`` — ensure the premium check requires the caller actually present the master key, and that legitimate master-key rotation still works.
Previous wording read "User=<new_owner> is not allowed to update the key to belong to user=<current_owner>" — easy to misread as "caller wants to keep the key on its current owner". Reframe as "Non-admin caller is not allowed to rebind the key from user=<existing> to user=<incoming>" so the direction of the failed operation is unambiguous. Same shape preserved (HTTPException 403); only the ``detail`` string changes. Regression test substring updated.
…name cascade tests Removes the allow_client_tags metadata check from apply_client_tag_policy_pre_auth so x-litellm-tags headers are always merged into request metadata, matching the post-auth behavior in add_litellm_data_to_request. Updates pre-call tests accordingly and adds a new test suite covering cascading credential renames into model rows. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
``model_dump(exclude_unset=True)`` in ``prepare_key_update_data`` includes any field the caller explicitly set, even when the value is ``None``. The previous guard short-circuited on ``getattr(data, 'user_id', None) is None``, which conflated "field omitted" (safe) with "field explicitly set to null" (writes NULL to the token row, detaching the key from its user and bypassing user-row role checks). Switch the omitted-vs-set distinction to ``data.model_fields_set``; treat explicit-null and explicit-empty-string identically as a removal attempt, both 403-rejected for non-admin callers. Parametrized regression adds ``explicit_null_blocked`` alongside the existing ``rebind_blocked`` / ``empty_blocked`` / ``same_user_id_allowed`` cases.
…ebind-guard chore(proxy): close /key/regenerate ownership-rebind + premium-gate bypass
`apply_client_tag_policy_pre_auth` overwrote string-typed metadata
with `{}` before merging header tags, dropping any tags inside. A
caller could send `metadata='{"tags":["over-budget"]}'` plus
`x-litellm-tags: within-budget` and bypass `_tag_max_budget_check`
on the body tag. Parse the string via `safe_json_loads` first so
existing tags survive the merge.
Also drop the empty `tests/test_litellm/proxy/credential_endpoints/`
directory — the cascade-rename tests it held imported a function
that was never implemented (out of scope for this PR).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1. Missing litellm_request child span when proxy parent in metadata: _get_span_context now returns (ctx, None) for the metadata-injected proxy parent so the primary span is always emitted as a child of ctx. Proxy span lifecycle managed by new _end_proxy_span_from_kwargs. 2. open_telemetry_logger overwrite by later handlers: _init_otel_logger_on_litellm_proxy now uses first-registered-wins — only assigns proxy_server.open_telemetry_logger when currently None. 3. Duplicate litellm_request success spans in streaming paths: Added _mark_success_span_once with per-handler dedupe key stored in kwargs metadata, suppressing the second span when both sync and async success callbacks fire for the same request. Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…rcement fix: enforce tag budgets on x-litellm-tags header requests
[Infra] Merge dev branch
[Infra] Build UI
LazyFeatureMiddleware compared the raw scope path against registered prefixes (e.g. /policies), so requests under a server root path like /api/v1/policies/... never matched, the feature never loaded, and the endpoint returned 404. Strip the configured root path before matching, normalizing trailing slashes and enforcing a component boundary so /api does not falsely match /apiv2.
SERVER_ROOT_PATH is a process-startup env var. Read it once in __init__ instead of calling get_server_root_path() + rstrip on every request that arrives before all lazy features have loaded.
…sts (#27813) OpenAI returns 'The model dall-e-3 does not exist' for the test account, breaking test_openai_img_gen_health_check and test_image_generation. Switch to gpt-image-1, matching the existing TestOpenAIGPTImage1 pattern.
Contributor
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| # response.stream_to_file("output_speech.mp3") | ||
| `;break;default:t="\n# Code generation for this endpoint is not implemented yet."}return`${T} | ||
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| (globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,447566,e=>{"use strict";e.i(247167);var t=e.i(931067),o=e.i(271645);let i={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M872 474H286.9l350.2-304c5.6-4.9 2.2-14-5.2-14h-88.5c-3.9 0-7.6 1.4-10.5 3.9L155 487.8a31.96 31.96 0 000 48.3L535.1 866c1.5 1.3 3.3 2 5.2 2h91.5c7.4 0 10.8-9.2 5.2-14L286.9 550H872c4.4 0 8-3.6 8-8v-60c0-4.4-3.6-8-8-8z"}}]},name:"arrow-left",theme:"outlined"};var n=e.i(9583),a=o.forwardRef(function(e,a){return o.createElement(n.default,(0,t.default)({},e,{ref:a,icon:i}))});e.s(["ArrowLeftOutlined",0,a],447566)},492030,e=>{"use strict";var t=e.i(121229);e.s(["CheckOutlined",()=>t.default])},596239,e=>{"use strict";e.i(247167);var t=e.i(931067),o=e.i(271645);let i={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M574 665.4a8.03 8.03 0 00-11.3 0L446.5 781.6c-53.8 53.8-144.6 59.5-204 0-59.5-59.5-53.8-150.2 0-204l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3l-39.8-39.8a8.03 8.03 0 00-11.3 0L191.4 526.5c-84.6 84.6-84.6 221.5 0 306s221.5 84.6 306 0l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3L574 665.4zm258.6-474c-84.6-84.6-221.5-84.6-306 0L410.3 307.6a8.03 8.03 0 000 11.3l39.7 39.7c3.1 3.1 8.2 3.1 11.3 0l116.2-116.2c53.8-53.8 144.6-59.5 204 0 59.5 59.5 53.8 150.2 0 204L665.3 562.6a8.03 8.03 0 000 11.3l39.8 39.8c3.1 3.1 8.2 3.1 11.3 0l116.2-116.2c84.5-84.6 84.5-221.5 0-306.1zM610.1 372.3a8.03 8.03 0 00-11.3 0L372.3 598.7a8.03 8.03 0 000 11.3l39.6 39.6c3.1 3.1 8.2 3.1 11.3 0l226.4-226.4c3.1-3.1 3.1-8.2 0-11.3l-39.5-39.6z"}}]},name:"link",theme:"outlined"};var n=e.i(9583),a=o.forwardRef(function(e,a){return o.createElement(n.default,(0,t.default)({},e,{ref:a,icon:i}))});e.s(["LinkOutlined",0,a],596239)},190272,785913,e=>{"use strict";var t,o,i=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),n=((o={}).IMAGE="image",o.VIDEO="video",o.CHAT="chat",o.RESPONSES="responses",o.IMAGE_EDITS="image_edits",o.ANTHROPIC_MESSAGES="anthropic_messages",o.EMBEDDINGS="embeddings",o.SPEECH="speech",o.TRANSCRIPTION="transcription",o.A2A_AGENTS="a2a_agents",o.MCP="mcp",o.REALTIME="realtime",o);let a={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>n,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(i).includes(e)){let t=a[e];return console.log("endpointType:",t),t}return"chat"}],785913),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:o,accessToken:i,apiKey:a,inputMessage:s,chatHistory:r,selectedTags:l,selectedVectorStores:c,selectedGuardrails:p,selectedPolicies:d,selectedMCPServers:m,mcpServers:u,mcpServerToolRestrictions:f,selectedVoice:g,endpointType:h,selectedModel:_,selectedSdk:b,proxySettings:v}=e,x="session"===o?i:a,y=window.location.origin,S=v?.LITELLM_UI_API_DOC_BASE_URL;S&&S.trim()?y=S:v?.PROXY_BASE_URL&&(y=v.PROXY_BASE_URL);let w=s||"Your prompt here",j=w.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),k=r.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),z={};l.length>0&&(z.tags=l),c.length>0&&(z.vector_stores=c),p.length>0&&(z.guardrails=p),d.length>0&&(z.policies=d);let R=_||"your-model-name",T="azure"===b?`import openai | |||
| @@ -0,0 +1,420 @@ | |||
| (globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,447566,e=>{"use strict";e.i(247167);var t=e.i(931067),o=e.i(271645);let i={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M872 474H286.9l350.2-304c5.6-4.9 2.2-14-5.2-14h-88.5c-3.9 0-7.6 1.4-10.5 3.9L155 487.8a31.96 31.96 0 000 48.3L535.1 866c1.5 1.3 3.3 2 5.2 2h91.5c7.4 0 10.8-9.2 5.2-14L286.9 550H872c4.4 0 8-3.6 8-8v-60c0-4.4-3.6-8-8-8z"}}]},name:"arrow-left",theme:"outlined"};var n=e.i(9583),a=o.forwardRef(function(e,a){return o.createElement(n.default,(0,t.default)({},e,{ref:a,icon:i}))});e.s(["ArrowLeftOutlined",0,a],447566)},492030,e=>{"use strict";var t=e.i(121229);e.s(["CheckOutlined",()=>t.default])},596239,e=>{"use strict";e.i(247167);var t=e.i(931067),o=e.i(271645);let i={icon:{tag:"svg",attrs:{viewBox:"64 64 896 896",focusable:"false"},children:[{tag:"path",attrs:{d:"M574 665.4a8.03 8.03 0 00-11.3 0L446.5 781.6c-53.8 53.8-144.6 59.5-204 0-59.5-59.5-53.8-150.2 0-204l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3l-39.8-39.8a8.03 8.03 0 00-11.3 0L191.4 526.5c-84.6 84.6-84.6 221.5 0 306s221.5 84.6 306 0l116.2-116.2c3.1-3.1 3.1-8.2 0-11.3L574 665.4zm258.6-474c-84.6-84.6-221.5-84.6-306 0L410.3 307.6a8.03 8.03 0 000 11.3l39.7 39.7c3.1 3.1 8.2 3.1 11.3 0l116.2-116.2c53.8-53.8 144.6-59.5 204 0 59.5 59.5 53.8 150.2 0 204L665.3 562.6a8.03 8.03 0 000 11.3l39.8 39.8c3.1 3.1 8.2 3.1 11.3 0l116.2-116.2c84.5-84.6 84.5-221.5 0-306.1zM610.1 372.3a8.03 8.03 0 00-11.3 0L372.3 598.7a8.03 8.03 0 000 11.3l39.6 39.6c3.1 3.1 8.2 3.1 11.3 0l226.4-226.4c3.1-3.1 3.1-8.2 0-11.3l-39.5-39.6z"}}]},name:"link",theme:"outlined"};var n=e.i(9583),a=o.forwardRef(function(e,a){return o.createElement(n.default,(0,t.default)({},e,{ref:a,icon:i}))});e.s(["LinkOutlined",0,a],596239)},190272,785913,e=>{"use strict";var t,o,i=((t={}).AUDIO_SPEECH="audio_speech",t.AUDIO_TRANSCRIPTION="audio_transcription",t.IMAGE_GENERATION="image_generation",t.VIDEO_GENERATION="video_generation",t.CHAT="chat",t.RESPONSES="responses",t.IMAGE_EDITS="image_edits",t.ANTHROPIC_MESSAGES="anthropic_messages",t.EMBEDDING="embedding",t),n=((o={}).IMAGE="image",o.VIDEO="video",o.CHAT="chat",o.RESPONSES="responses",o.IMAGE_EDITS="image_edits",o.ANTHROPIC_MESSAGES="anthropic_messages",o.EMBEDDINGS="embeddings",o.SPEECH="speech",o.TRANSCRIPTION="transcription",o.A2A_AGENTS="a2a_agents",o.MCP="mcp",o.REALTIME="realtime",o);let a={image_generation:"image",video_generation:"video",chat:"chat",responses:"responses",image_edits:"image_edits",anthropic_messages:"anthropic_messages",audio_speech:"speech",audio_transcription:"transcription",embedding:"embeddings"};e.s(["EndpointType",()=>n,"getEndpointType",0,e=>{if(console.log("getEndpointType:",e),Object.values(i).includes(e)){let t=a[e];return console.log("endpointType:",t),t}return"chat"}],785913),e.s(["generateCodeSnippet",0,e=>{let t,{apiKeySource:o,accessToken:i,apiKey:a,inputMessage:s,chatHistory:r,selectedTags:l,selectedVectorStores:c,selectedGuardrails:p,selectedPolicies:d,selectedMCPServers:m,mcpServers:u,mcpServerToolRestrictions:f,selectedVoice:g,endpointType:h,selectedModel:_,selectedSdk:b,proxySettings:v}=e,x="session"===o?i:a,y=window.location.origin,S=v?.LITELLM_UI_API_DOC_BASE_URL;S&&S.trim()?y=S:v?.PROXY_BASE_URL&&(y=v.PROXY_BASE_URL);let w=s||"Your prompt here",j=w.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),k=r.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),z={};l.length>0&&(z.tags=l),c.length>0&&(z.vector_stores=c),p.length>0&&(z.guardrails=p),d.length>0&&(z.policies=d);let R=_||"your-model-name",T="azure"===b?`import openai | |||
| @@ -0,0 +1,420 @@ | |||
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mateo-berri
approved these changes
May 13, 2026
[Fix] Lazy feature loading under SERVER_ROOT_PATH returns 404
shin-berri
approved these changes
May 13, 2026
fzowl
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to fzowl/litellm
that referenced
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Jun 24, 2026
[Infra] Promote internal staging to main
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