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| Author | SHA1 | Message | Date | |
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Sameer Kankute
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3b40ac987f
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Litellm oss 090626 (#30021)
* fix(mcp): report scoped server name during initialize (#29865) * fix mcp scoped server name * Update litellm/proxy/_experimental/mcp_server/mcp_context.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * test(mcp): cover scoped server name in the SSE initialize handler --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(ui): show all session logs in the drawer, not just the first 50 (#29795) * fix(ui): show newest session logs first * test(ui): keep session log pagination coverage * fix(ui): show all session logs in the drawer, not just the first page The session detail drawer fetched session logs via sessionSpendLogsCall without page/page_size, so it only ever received the backend default of one page (50 rows). Sessions with more than 50 calls had the rest unreachable in the UI (#29153). sessionSpendLogsCall now takes page/page_size, and the drawer fetches the first page, reads total_pages, then fetches the remaining pages and accumulates them before the existing client-side sort. This keeps the single continuous list (and the selected-log lookup and keyboard navigation, which all assume the full session) correct. Fetching is bounded by a page cap, and the sidebar shows a "showing most recent N" note if a session exceeds it. The rows are lightweight metadata (the endpoint excludes messages/response), so the full set is small; request/response bodies are still loaded per log on demand. * fix(ui): default session drawer to most recent log, newest first Open a session with its most recent log selected, and order the sidebar newest-first to match the all-sessions logs overview. MCP calls stay grouped last. The latest log by time is computed explicitly, since the MCP grouping means it is not always the first row. * Apply fetching pages in batches suggestion from @greptile-apps[bot] Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(ui): derive session total from accumulated rows when backend omits it Compute the session total after all pages are fetched, falling back to the accumulated row count rather than the first page's. Guards the truncation note against a backend response that omits total but spans multiple pages. --------- Co-authored-by: Yufeng He <40085740+he-yufeng@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(proxy): handle Mistral multipart passthrough (#29927) * fix(proxy): handle Mistral multipart passthrough * chore: satisfy passthrough ci formatting * test(proxy): cover Mistral passthrough in CI shard * fix(vertex_ai): use REP host for context caching on eu/us multi-region endpoints (#29573) Context caching built the cachedContents URL as https://{location}-aiplatform.googleapis.com, which is an invalid host for the eu/us multi-region endpoints and returns 404. The inference path already resolves these to the REP host (https://aiplatform.{geo}.rep.googleapis.com) via get_vertex_base_url(); reuse that helper in _get_token_and_url_context_caching so caching uses the same host as inference. Adds tests covering the eu/us multi-region cachedContents URLs (v1 and v1beta1). Fixes #29571 * Support per-model encrypted content affinity config (#29760) Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * fix: propagate upstream status code in proxy API exception handler (#29402) * fix: propagate upstream status code in proxy API exception handler When Google GenAI / Vertex returns a 404 for deprecated or missing models via streamGenerateContent, the exception was falling through to a generic handler that defaulted to 500. Now provider exceptions carrying a valid HTTP status_code correctly propagate it through to the ProxyException. * fix: apply black formatting to common_request_processing.py * fix: tighten status code range to 400-599 and deduplicate ProxyException raise * fix(tests): use valid vertex_location in context caching tests Replace "test_location" (contains underscore) with "us-central1" so tests pass the regex validation added in get_vertex_base_url(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(sdk): add xAI OAuth provider (#29866) * Add xAI OAuth provider * Update oauth.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Fix xAI OAuth CI failures * Add xAI OAuth coverage tests * Move xAI OAuth coverage tests to core utils * Address xAI OAuth review comments * Prevent xAI OAuth api_base token exfiltration * Treat blank xAI OAuth api keys as absent * Wrap invalid xAI OAuth JSON responses * Use xAI OAuth behind explicit flag --------- Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(proxy) #27734 allow clearing budget_duration and team_member fields by sending null on /key/update and /team/update (#27751) * fix(proxy): allow clearing budget_duration and team_member fields by sending null on /key/update and /team/update Fixes #27734 Sending null for budget_duration, team_member_budget, team_member_budget_duration, team_member_rpm_limit, or team_member_tpm_limit via /key/update or /team/update returned 200 OK but silently ignored the null value. The fields remained unchanged in the database. Root causes: - /key/update: prepare_key_update_data() popped budget_duration from the update dict but never re-added it (or budget_reset_at) when the value was None. - /team/update: _set_budget_reset_at() only acted when budget_duration was non-None, leaving a stale budget_reset_at in the DB. - /team/update: team_member_* null values bypassed the budget table update entirely because should_create_budget() requires at least one non-None field. * test(proxy): cover no-budget-row path in clear_team_member_budget_fields * fix(presidio): unmask PII tokens in Anthropic native SSE streaming bytes (#30028) * fix(presidio): unmask PII tokens in Anthropic native SSE streaming bytes When output_parse_pii=true on the Anthropic native path (anthropic/claude-*), response chunks arrive as raw bytes in SSE format. _stream_pii_unmasking was yielding those bytes unchanged, so <PERSON_1> tokens were never replaced with the original values before reaching the caller. Add _unmask_sse_bytes_chunk to parse each data: line, find content_block_delta / text_delta events, and apply _unmask_pii_text before re-encoding. Wire it into _stream_pii_unmasking so bytes chunks are unmasked when pii_tokens exist. * fix(presidio): handle CRLF line endings and non-ASCII PII in SSE unmask Strip trailing \r before the [DONE] guard so CRLF-terminated SSE chunks don't bypass it and silently swallow a JSONDecodeError. Add ensure_ascii=False to json.dumps so non-ASCII replacement values like accented names are preserved as UTF-8 on the wire rather than being \uXXXX-escaped. Add regression tests for both cases. * feat(bedrock_mantle): path-aware Responses routing (/v1/responses vs /openai/v1/responses) (#29925) * feat(bedrock_mantle): path-aware Responses routing (/v1/responses vs /openai/v1/responses) Bedrock Mantle serves the Responses API on two upstream paths: - gpt frontier models (gpt-5.5 / gpt-5.4) on /openai/v1/responses - every other Responses-capable model (e.g. gpt-oss) on the standard /v1/responses BedrockMantleResponsesAPIConfig gains a `use_openai_path` flag; the provider gate in utils.py picks the path per model: openai.gpt-* (non gpt-oss) -> /openai/v1/responses; any model declared mode=responses (price-map entry or user model_info) -> /v1/responses; everything else returns None and keeps the existing chat-completions emulation. Adds gpt-5.5 / gpt-5.4 price-map entries, registry wiring, and the routing-matrix tests. * feat(bedrock_mantle): data-driven frontier routing via use_openai_responses_path Addresses the Greptile review point that frontier detection should be a price-map field rather than a hardcoded name match. The gate now routes a model to /openai/v1/responses when its price-map entry declares use_openai_responses_path, so a frontier model whose name does not follow the openai.gpt- convention can be onboarded by JSON alone. The name-convention check is kept as a fallback that needs no price-map entry, which preserves zero-change routing for a future gpt-6 before its entry loads. gpt-5.5 / gpt-5.4 get the flag in both price maps. Adds tests for the data-driven flag path and for the flag presence on the gpt-5.x entries; both branches are mutation-tested. * test(model_prices): allow use_openai_responses_path in price-map schema The model_prices_and_context_window.json schema validator (test_aaamodel_prices_and_context_window_json_is_valid) enforces additionalProperties: false, so the new use_openai_responses_path flag on the gpt-5.5 / gpt-5.4 entries failed validation. Add it to the schema as a boolean, alongside the other supports_* / capability flags. * Add Tensormesh serverless models to the model cost map (#30037) * Add Tensormesh serverless models to the model cost map * Flag reasoning support on the Tensormesh models that expose thinking mode * fix(proxy): invalidate stale key spend counter after budget reset or manual spend update (#30001) * fix(proxy): reconcile stale key spend counter after budget reset * fix(proxy): invalidate stale key spend counter after budget reset or manual spend update * fix(proxy): remove read-time stale counter reconciliation to prevent budget bypass * revert: undo unrelated formatting changes in enterprise directory * test(proxy): add unit test for key spend update invalidating counter * test(proxy): fix mocked update_data and hash token expectations in unit test * fix(proxy): use Responses-API transformer in pass-through cost tracking (#29728) The `elif is_responses:` branch of `openai_passthrough_handler` was calling the chat-completions `transform_response` on a Responses API payload. The chat-completions transformer expects `choices: [...]` in the raw response; the Responses API uses `output: [...]` and `usage.input_tokens` / `usage.output_tokens` (not `prompt_tokens` / `completion_tokens`). The result was a KeyError 'choices' deep inside `convert_to_model_response_object`, swallowed by the surrounding `except Exception` in the handler, and the SpendLogs row was written by the fallback path with zeroed-out tokens, spend, and model. This bug silently undercounts cost for every successful pass-through call to either OpenAI's `/v1/responses` or Azure's `/openai/v1/responses` (deployments configured for the Responses API). Reproduced 2026-06-04 against a real Azure OpenAI Responses API deployment proxied through LiteLLM v1.88.0. Fix: use the dedicated `OpenAIResponsesAPIConfig.transform_response_api_response` for the Responses branch. This transformer already exists in LiteLLM (`litellm/llms/openai/responses/transformation.py`) and knows the Responses-API on-the-wire shape. `litellm.completion_cost` already handles `ResponsesAPIResponse` natively with `call_type="responses"`, so no downstream changes are needed. Tests: test_responses_api_uses_responses_transformer_not_chat_completions NEW. Real regression test — exercises the openai_passthrough_handler with a real-shaped Responses payload (no `choices`, has `output` and Responses-API `usage` keys) and NO mocked `get_provider_config`. Pre-fix: raises KeyError 'choices' inside the chat-completions transformer (the bug). Post-fix: returns a ResponsesAPIResponse, completion_cost is called with call_type="responses" and a ResponsesAPIResponse instance (asserted). Verified to fail on un-fixed handler + pass on fixed handler before commit. test_responses_api_cost_tracking UPDATED. Old test mocked `get_provider_config` (no longer called in the responses branch post-fix). Now mocks the Responses transformer directly (`OpenAIResponsesAPIConfig.transform_response_api_response`) to test the downstream cost-calc contract. Out of scope for this PR (separate followup): - Recognizing *.cognitiveservices.azure.com (the newer Azure OpenAI hostname) in the is_openai_*_route checks. Separate PR. Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * fix(skills): execute DB skills by matching the litellm_skill_ tool name prefix (#30116) Skill IDs are generated as litellm_skill_<uuid> and the model-facing tool name is the sanitized skill ID, but the post-call execution gates in SkillsInjectionHook only ran tools whose name starts with "skill_", so DB skills were silently returned to the client as raw tool calls. Fixes #28122. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(anthropic): synthesize content_block_start when Responses stream omits output_item.added (#30115) * fix(team): reserve team budget raises for proxy admins on /team/update (#30030) The caller's PERSONAL max_budget was the wrong yardstick for /team/update: a team's spend ceiling has nothing to do with the admin's own key budget. That comparison was an unintended side effect of reusing _check_user_team_limits() (which exists for the /team/new path) and broke the UI, which re-sends the unchanged budget on every save. New behavior on /team/update for standalone teams: - A team admin (already authorized via _verify_team_access) may freely KEEP or LOWER the team budget, and change models/tpm/rpm, without being gated by their personal limits. - GROWING a team's spend ceiling is a budget-authority action reserved for proxy admins -> 403 for team admins. "Growing" covers both raising max_budget above the team's current finite value and removing the cap entirely (max_budget=null, detected via model_fields_set so an explicit null is distinguished from an omitted field). For a team that currently has no cap, setting a finite value is a restriction and is allowed. - Org-scoped teams remain governed by _check_org_team_limits() (capped by the org budget). Also reverts the #29525 existing_team_max_budget workaround in _check_user_team_limits() back to the create-only form; /team/new still enforces the creator's personal caps. docs(access_control): resolve the contradiction in the team-admin section — team admins can keep/lower the budget and manage rate limits/models, but cannot raise the team budget (proxy-admin only). tests: unit + behavior coverage for raise-blocked, cap-removal-blocked (team admin), raise/removal allowed (proxy admin), uncapped-team restriction allowed, keep/lower/resend allowed, and unchanged create-path guards. Co-authored-by: Cursor <cursoragent@cursor.com> * test(ui): data-driven App Router migration E2E smoke (default + server-root-path) (#29974) * test(ui): add a data-driven App Router migration E2E smoke Add a growing Playwright smoke for migrated pages: for each segment it deep-links to the path route, asserts the URL and that the dashboard shell rendered, then clicks off to a legacy page and asserts navigation still works. Driven by e2e_tests/fixtures/migratedPages.ts, so adding a page is one line. Runs in two situations against the same proxy: the default mount (npm run e2e:migration) and a non-root SERVER_ROOT_PATH mount (npm run e2e:migration:root). globalSetup now logs in at `${SERVER_ROOT_PATH}/ui/login` so the admin storage state is valid under a prefix. Seeded with api-reference; append the rest as their migrations merge. * test(ui): support headed slow-motion + watch pauses in the migration smoke Honor SLOWMO in the server-root-path config (the default config already did), and add an env-gated E2E_WATCH_MS pause so a headed run lingers on each state. Both are no-ops by default, so CI behavior is unchanged. * test(ui): make the migration smoke a sidebar-click user journey Rework the smoke from deep-linking to a real navigation journey: start at the landing page, click the migrated page in the sidebar (expanding submenus for nested items), assert the path route rendered, reload it (the check a wrong server_root_path breaks), bounce to a legacy page and back, and — once two pages are migrated — navigate directly between two migrated pages. Verifies via URL + shell render, driven by the same fixture list. * test(ui): address review on the migration smoke Escape ROOT and segment before interpolating them into RegExp URL matchers so a future segment containing regex metacharacters can't silently widen the match. Make the server-root-path config fail fast when SERVER_ROOT_PATH is unset instead of silently re-running the default mount and passing without exercising the prefix. * test(ui): drop unused watch helper and fix stale smoke README * test(ui): run the migration smoke under a server root path in CI * test(ui): harden + instrument the server-root-path proxy reboot in CI * test(ui): run the server-root-path migration smoke as its own CI job Replace the in-place proxy reboot in e2e_ui_testing with a dedicated e2e_ui_testing_server_root_path job that boots the proxy once with SERVER_ROOT_PATH=/litellm, matching how every other proxy variant in the config gets its own job rather than killing and relaunching the live proxy. The reboot was failing deterministically: after pkill -9 and relaunch the prefixed proxy never came back up on :4000 (connection refused), so the smoke never ran. The readiness step that was supposed to surface the cause could never reach its boot-log tail because CircleCI runs steps under bash -eo pipefail and the preceding `curl -sv ... | tail` aborted the step with curl's exit 7. Booting the proxy as the job's own background step lets any boot crash land in that step's log instead of being swallowed. The default e2e_ui_testing job is unchanged aside from dropping the reboot, prefixed-readiness, and prefixed-smoke steps; the migration smoke still runs at the root mount there via the default Playwright config. * fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through (#24232) * fix(proxy): extend response headers hook to streaming, TTS, image gen, and pass-through * test: mock post_call_response_headers_hook in audio speech route tests * chore(ui): remove dead App Router route stubs under (dashboard) (#30045) models-and-endpoints, organizations, and virtual-keys each had a page.tsx route under (dashboard)/ that is not in MIGRATED_PAGES, so the sidebar and deep links never resolve to it and the route is unreachable. Each was a thin wrapper that handed the shared view empty or no-op props (empty modelData with a no-op setModelData, hardcoded empty organizations, no-op setUserRole/setUserEmail), so reaching one would render a degraded page in any case. The real wrapper belongs in the PR that flips each page into MIGRATED_PAGES, written with eyes on it and a test This continues the dead-scaffolding cleanup from #28891. The shared components these wrappers rendered (ModelsAndEndpointsView, OrganizationFilters) stay, since the legacy ?page= switch in app/page.tsx and src/components still import them * fix(ui/mcp): reset OAuth state on create-server modal close so a prior server's token no longer leaks into the next add-server session (#30000) * fix(ui/mcp): reset OAuth hook state on modal close so a prior server's token no longer leaks into the next add-server session * fix(ui/mcp): clear in-flight OAuth guard on reset and reset form/tools on modal close so nothing leaks on a parent-driven dismiss * fix(mcp): allow team access-group grants in OAuth authorize/token access check (#30041) * fix(mcp): honor team access-group grants in OAuth authorize/token access check * test(mcp): mock build_effective_auth_contexts in non-admin authorize tests for isolation * docs(security): require a reproduction video for vulnerability reports (#30048) (#30063) With AI models capable of automated vulnerability discovery now publicly available, we expect a large increase in report volume, much of it unverified. Requiring a video of the exploit running against a live instance raises the bar for submissions and keeps triage focused on reproducible issues. Reports without a video will be closed and reopened if one is added later. Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com> * feat(ui): add admin flag to disable in-product UI nudges for everyone (#29796) * feat(ui): add admin flag to disable in-product UI nudges for everyone Admins can now suppress the survey and Claude Code feedback popups for all users via a single disable_ui_nudges UI setting, instead of relying on each user dismissing them individually. * fix(ui): suppress nudges while ui settings are loading Gate nudgesDisabled on the ui-settings loading state so an admin with disable_ui_nudges on doesn't see the survey prompt flash, and the getInProductNudgesCall fetch doesn't fire, on a cold page load before the flag resolves. Falls back to showing nudges if the fetch errors. * test(ui): wrap CreateKeyPage test in QueryClientProvider page.tsx now calls useUISettings (react-query), which needs a QueryClient that layout.tsx supplies in production but the test did not. Add the provider and mock getUiSettings so the query resolves. * chore(ui): remove dead dashboard files and unused dependencies (#30047) * chore(ui): remove dead dashboard files and unused dependencies knip flagged seven orphaned source/config files with no importers and five declared dependencies that nothing in the tree uses. Removing them shrinks the dashboard bundle's source surface and keeps the manifest honest; vite stays installed transitively via vitest, so test tooling is unaffected. * fix(ci): restore serverRootPath.config.ts referenced by SERVER_ROOT_PATH workflow The dead-code sweep removed e2e_tests/serverRootPath.config.ts, but its spec (tests/login/serverRootPathRedirect.spec.ts) and the test_server_root_path.yml workflow step still depend on it, so the redirect e2e job failed to load a config that no longer existed. * fix(proxy): authorize batch files using upload target_model_names (LIT-3593) (#30009) * fix(proxy): authorize batch files using upload target_model_names (LIT-3593) After replace_model_in_jsonl, body.model is a stripped provider id. Reverse-mapping it via resolve_model_name_from_model_id is first-match on model_list and caused false 403s when multiple deployments share the same stripped name. Use target_model_names from the unified file id instead. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593) Restores the reverse-lookup for the JSONL body.model fallback path so that legacy/pre-target_model_names managed files still map stripped provider IDs back to proxy aliases before auth. Also cleans up redundant `or None`. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Revert "fix(proxy): restore resolve_model_name_from_model_id for JSONL fallback path (LIT-3593)" This reverts commit |
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Sameer Kankute
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2453936a82
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Litellm websocket improvements (#29563)
* Add support for websocket via codex * Add model alias and creds support * fix: skip cost tracking for WS session wrapper call types The @client decorator on _aresponses_websocket fires async_success_handler with result=None after the session ends. This triggered cost tracking errors because standard_logging_object is never built for None results. Per-turn costs are correctly tracked by individual litellm.aresponses calls inside the session. The outer session-level logging obj should not attempt cost tracking. Fix: skip _aresponses_websocket and _arealtime call types in deployment_callback_on_success, RouterBudgetLimiting.async_log_success_event, and _PROXY_track_cost_callback. * fix: address Greptile review comments Fix JSON injection: use json.dumps instead of f-string interpolation for model name in WS body. Add 30s timeout for first WS frame to prevent unbounded connection resource tie-up. Restore per-event model override in streaming_iterator; fall back to connection-level model when event omits it. Strengthen regression test: inject alias into kwargs via _update_kwargs_with_deployment mock so the test would fail on un-fixed code. * fix: handle nested response.create format in first-frame model extraction When ?model= is omitted, the first WS frame can carry the model in either flat format (first_event["model"]) or nested format (first_event["response"]["model"]). The flat-only check would silently reject clients using the nested wire format. Mirrors the same two-format logic in _build_base_call_kwargs. * fix: don't force connection-level custom_llm_provider on per-event model overrides If a client sends a different model per response.create turn, litellm needs to re-resolve the provider from that model string. Forcing the connection-level custom_llm_provider would silently route the request to the wrong backend. Only inject custom_llm_provider when the per-event model matches the connection-level model. * refactor: extract WS model extraction into testable function Pull the flat/nested model extraction into _extract_model_from_first_ws_event so tests import and exercise the real function rather than a copy. * fix: compare providers not full model strings in _inject_credentials The model == self.model guard was too strict: same-provider model variants (e.g., vertex_ai/gemini-2.0 -> vertex_ai/gemini-1.5 on one connection) would lose custom_llm_provider, breaking routing when a custom api_base is in use. Compare the provider extracted by get_llm_provider instead, so same-provider variants still inherit the connection-level provider while cross-provider overrides let litellm re-resolve. * style: black formatting * refactor: extract first-frame model resolution to fix PLR0915 (too many statements) * Fix responses WebSocket first-frame validation * fix: classify WS first-frame read errors and clarify cost-skip log Distinguish client disconnects from server errors when reading the responses WebSocket first frame, make the cost-tracking skip log message accurate for session wrappers (which do carry a model), and resolve the connection-level provider once per session instead of on every response.create event. * test: cover WS first-frame read errors and same-provider credential injection Adds regression tests for the still-uncovered responses WebSocket paths: the timeout, invalid-JSON and missing-model branches of _read_ws_model_from_first_frame, plus the provider comparison in ManagedResponsesWebSocketHandler._same_provider and _inject_credentials (same-provider model variants keep the connection provider; cross-provider models re-resolve). * fix(responses-ws): fall back to explicit custom_llm_provider when connection model is unresolvable When a WebSocket session is opened with a custom deployment alias that litellm cannot resolve to a provider, _connection_provider was None, so _same_provider returned False for every resolvable per-event model and the connection-level custom_llm_provider was dropped. Use the explicitly-set custom_llm_provider as the connection provider in that case so same-provider per-event models still inherit it while genuinely cross-provider models continue to re-resolve. --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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Sameer Kankute
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c7ab9adde5
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Litellm oss staging 030626 (#29578)
* Fix incorrect agent API request example payload structure (#29556) * fix(otel): add litellm_metadata fallback in _get_span_context and _end_proxy_span_from_kwargs (#29427) * fix(otel): add litellm_metadata fallback in _get_span_context and _end_proxy_span_from_kwargs On /v1/messages and other LITELLM_METADATA_ROUTES, the parent OTel span is stored in litellm_params['litellm_metadata'] instead of litellm_params['metadata']. When the request body contains a native 'metadata' field (e.g. Anthropic's {"user_id": "..."}), litellm_params['metadata'] gets overwritten and the parent span is lost, producing orphan root spans with a different trace_id. Add fallback checks to litellm_metadata in: - _get_span_context(): so child spans find the correct parent - _end_proxy_span_from_kwargs(): so the proxy span gets closed Fixes: https://github.com/BerriAI/litellm/issues/27934 * test(otel): tighten assertions per Greptile review - test_span_context_metadata_takes_priority: assert litellm_metadata span is never accessed, proving metadata takes priority - test_span_context_no_parent_when_neither_has_span: assert both ctx and detected_span are None --------- Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Aneesh-Fiddler <aneeshfiddler@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * fix: remove premature end-user budget check from get_end_user_object (#29420) * fix(proxy): remove premature end-user budget check from get_end_user_object Problem: - `_check_end_user_budget()` was called inside `get_end_user_object()` - This caused budget checks to run BEFORE `skip_budget_checks` could be evaluated - Zero-cost models (e.g., local vLLM) were incorrectly blocked when end-users exceeded their budget, even though they should bypass budget checks Solution: - Remove `_check_end_user_budget()` calls from `get_end_user_object()` - Budget enforcement now happens exclusively in `common_checks()` where `skip_budget_checks` context is available - `get_end_user_object()` keeps `route` as optional in function parameter for backwards compatibility and future implementation. * refactor(tests): update budget enforcement tests to reflect changes in get_end_user_object - test_get_end_user_object() verifies data fetching - test_check_end_user_budget() verifies enforcement - test_budget_enforcement_blocks_over_budget_users() integrates _check_end_user_budget() - test_resolve_end_user_reraises_budget_exceeded() is now test_resolve_end_user since no budget exceeded is thrown in get_end_user_object() * Gemini /images/generate and /images/edits billing fixes + add support for size and aspect ratio params (#29534) * Fix Gemini image config mapping * Address Gemini image config review * Format Gemini image generation transform * Fix Gemini image token usage logging * Share Gemini image request helpers * Fix Gemini Imagen model routing * Fixes as per self code review * Fixes per internal code review * Stop gating Imagen imageSize forwarding * Document Gemini image size mapping source * chore: retrigger lint * Clarify Gemini candidate count precedence * Add Inception provider (#29522) * add inception as provider (chat, fim) * linting * seperate test suite for chat and fim * fix test coverage * fix: model hub custom pricing model info (#29293) * Opik user auth key metadata extractors (#28397) * fix: enhance Opik metadata extraction to include user API key auth context fixed after refactoring to extractor logic * test: add unit tests for OPik metadata extraction logic * fix: enhance extract_opik_metadata function to prioritize metadata sources for improved accuracy * fix(ci): clarified comments and edited unit tests * test: add unit tests for OPik metadata extraction with auth and requester overrides * fix(ui): replace fixed favicon.ico with current api get /get_favicon (#29532) Signed-off-by: José Luis Di Biase <josx@interorganic.com.ar> * fix(vertex/gemini): keep tool_call reference when a text-only assistant message follows (#29561) `_gemini_convert_messages_with_history` tracks `last_message_with_tool_calls` so a following tool result can be matched back to its tool call. The assignment was inside a branch guarded by `assistant_msg.get("tool_calls", []) is not None`, which is also True for a text-only assistant message (an empty list is not None). As a result, an assistant message with no tool calls that appears between a tool call and its tool result overwrote the reference, and conversion failed with: Exception: Missing corresponding tool call for tool response message. This shape is common: a model emits a short narration/assistant message after a tool call before the tool result is appended. Only update `last_message_with_tool_calls` when the assistant message actually carries tool_calls (or a function_call). Adds a regression test. Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> * Add 1-hour cache write pricing for EU/AU/JP Bedrock Anthropic models (#28572) * fix(thinking): handle None thinking param in is_thinking_enabled (#28598) Squash-merged by litellm-agent from Terrajlz's PR. * feat(helm): support tpl rendering in podAnnotations (#28609) Squash-merged by litellm-agent from devauxbr's PR. * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) (#28575) * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) When a Chat Completions request to a GPT-5.4+ model contains both `tools` and `reasoning_effort`, `completion()` auto-routes through `responses_api_bridge`. The bridge handler called `litellm.responses()` / `litellm.aresponses()` without forwarding the already-resolved `custom_llm_provider`, so the downstream call re-invoked `get_llm_provider()` with `custom_llm_provider=None` and stripped a second provider prefix from a `provider/provider/model` deployment string. For a deployment configured as `openai/openai/openai/gpt-5.5`, the bridge flow sent `openai/gpt-5.5` to the upstream API instead of the correct `openai/openai/gpt-5.5`. Upstream APIs that enforce model-name allow-lists rejected this as `key_model_access_denied`. Fix: pass the locally-resolved `custom_llm_provider` into both the sync `responses()` and async `aresponses()` calls so the downstream `_resolve_model_provider_for_responses` sees an explicit provider and skips the second prefix-strip. New regression test `tests/test_litellm/completion_extras/test_responses_bridge_provider_propagation.py` pins both call sites: each must forward `custom_llm_provider`. * fix(28505): set custom_llm_provider on request_data instead of as duplicate kwarg Greptile flagged that the previous patch passed custom_llm_provider as an explicit kwarg to responses()/aresponses() while request_data already carried it via the spread of sanitized_litellm_params, which would raise TypeError: got multiple values for keyword argument on every real bridge call. Switches to assigning request_data['custom_llm_provider'] before the call so the resolved provider wins over whatever sanitized_litellm_params spread in, without duplicating the kwarg. Updates the regression test to seed request_data with a sentinel custom_llm_provider so it actually exercises the overwrite path (the previous test mocked transform_request with a minimal dict and never hit the conflict). * chore: trigger shin-agent re-eval on retargeted staging base * chore: trigger shin-agent re-eval against updated Greptile state * Add 1-hour cache write pricing for EU/AU/JP Bedrock Anthropic models The 1-hour prompt-cache write tier (`cache_creation_input_token_cost_above_1hr`) was added to the us./global. variants of the Claude 4.5/4.6/4.7 family on Bedrock, but the eu./au./jp. cross-region inference profiles were left without it. AWS Bedrock pricing applies the same +10% regional premium across all geo profiles, so eu./au./jp. should carry the same 1-hour rates as us. (1.6x the 5-minute regional rate). Without these fields, cost tracking on EU/AU/JP Bedrock 1-hour-TTL prompt caching falls back to the 5-minute write rate and undercounts spend by ~60% for European, Australian, and Japanese tenants. Adds the 1-hour tier (and Sonnet 4.5's long-context >200K tier where AWS publishes one) to 14 regional Bedrock entries in both `model_prices_and_context_window.json` and the bundled `model_prices_and_context_window_backup.json`: - eu./au. Opus 4.6 ($11.00 / MTok) - eu./au. Opus 4.7 ($11.00 / MTok) - eu./au./jp. Sonnet 4.6 ($6.60 / MTok) - eu./au./jp. Sonnet 4.5 ($6.60 / MTok regular, $13.20 / MTok LC) - eu./au./jp. Haiku 4.5 ($2.20 / MTok) Also extends `tests/test_litellm/test_bedrock_anthropic_1hr_cache_pricing.py` with a `REGIONAL_EXPECTED` parametrized block covering all 13 new entries plus the existing 1.6x ratio invariant. Note: `eu.anthropic.claude-opus-4-5-20251101-v1:0` carries the wrong 5m rate today (base 6.25e-06 instead of regional 6.875e-06), which would break the 1.6x ratio check. It is intentionally left out of this PR so the scope stays "1-hour cache tier addition" — a separate follow-up should correct the EU 5m rates for Opus 4.5. --------- Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * Add 1-hour cache write pricing tier for Vertex AI Anthropic models (#28569) * fix(thinking): handle None thinking param in is_thinking_enabled (#28598) Squash-merged by litellm-agent from Terrajlz's PR. * feat(helm): support tpl rendering in podAnnotations (#28609) Squash-merged by litellm-agent from devauxbr's PR. * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) (#28575) * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) When a Chat Completions request to a GPT-5.4+ model contains both `tools` and `reasoning_effort`, `completion()` auto-routes through `responses_api_bridge`. The bridge handler called `litellm.responses()` / `litellm.aresponses()` without forwarding the already-resolved `custom_llm_provider`, so the downstream call re-invoked `get_llm_provider()` with `custom_llm_provider=None` and stripped a second provider prefix from a `provider/provider/model` deployment string. For a deployment configured as `openai/openai/openai/gpt-5.5`, the bridge flow sent `openai/gpt-5.5` to the upstream API instead of the correct `openai/openai/gpt-5.5`. Upstream APIs that enforce model-name allow-lists rejected this as `key_model_access_denied`. Fix: pass the locally-resolved `custom_llm_provider` into both the sync `responses()` and async `aresponses()` calls so the downstream `_resolve_model_provider_for_responses` sees an explicit provider and skips the second prefix-strip. New regression test `tests/test_litellm/completion_extras/test_responses_bridge_provider_propagation.py` pins both call sites: each must forward `custom_llm_provider`. * fix(28505): set custom_llm_provider on request_data instead of as duplicate kwarg Greptile flagged that the previous patch passed custom_llm_provider as an explicit kwarg to responses()/aresponses() while request_data already carried it via the spread of sanitized_litellm_params, which would raise TypeError: got multiple values for keyword argument on every real bridge call. Switches to assigning request_data['custom_llm_provider'] before the call so the resolved provider wins over whatever sanitized_litellm_params spread in, without duplicating the kwarg. Updates the regression test to seed request_data with a sentinel custom_llm_provider so it actually exercises the overwrite path (the previous test mocked transform_request with a minimal dict and never hit the conflict). * chore: trigger shin-agent re-eval on retargeted staging base * chore: trigger shin-agent re-eval against updated Greptile state * Add 1-hour cache write pricing tier for Vertex AI Anthropic models GCP Vertex AI publishes a separate 1-hour cache write column for the Claude family (1.6x the 5-minute write rate, matching the documented Bedrock ratio). LiteLLM's Vertex AI Anthropic entries only carry the 5-minute tier, so any request that uses `cache_control: {"ttl": "1h"}` on Vertex AI Claude is undercounted in cost tracking by ~60%. The runtime side already supports the 1-hour tier — `VertexAIAnthropicConfig` extends `AnthropicConfig`, populating `ephemeral_1h_input_tokens`, and `_calculate_cache_creation_cost` reads `cache_creation_input_token_cost_above_1hr`. Only the price registry was missing data. Adds the field to 19 vertex_ai/claude-* entries across both `model_prices_and_context_window.json` and the bundled `model_prices_and_context_window_backup.json`: - Haiku 4.5 ($1.25 -> $2.00 / MTok) - Sonnet 3.7 / 4 / 4.5 / 4.6 ($3.75 -> $6.00 / MTok) - Opus 4.5 / 4.6 / 4.7 ($6.25 -> $10.00 / MTok) - Opus 4 / 4.1 ($18.75 -> $30.00 / MTok) Adds `tests/test_litellm/test_vertex_anthropic_1hr_cache_pricing.py` mirroring the Bedrock equivalent — pins each (5m, 1h) pair per model and asserts the 1.6x ratio across the family. Fixes #27781. --------- Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * Fix Gemini multimodal function responses (#29325) Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * address greptile review: add _transform_image_usage method and model-map supports_image_size flag - Add _transform_image_usage instance method to GoogleImageGenConfig that delegates to transform_gemini_image_usage, fixing the regression test - Replace hardcoded "2.5-flash" string check in supports_gemini_image_size with a get_model_info lookup on supports_image_size (default true) - Add supports_image_size: false to all gemini-2.5-flash model entries in model_prices_and_context_window.json so capability is controlled via the model map rather than embedded in code * fix test failures: schema validation, mypy type, model info plumbing, pricing test - Add supports_image_size to ModelInfoBase TypedDict so get_model_info surfaces it - Pass supports_image_size through _get_model_info_helper constructor call - Fix supports_gemini_image_size to use value is not False (None means unset, defaults to True) - Add supports_image_size to JSON schema in test_aaamodel_prices_and_context_window_json_is_valid - Correct gemini-3.1-flash-lite pricing assertions in test to match JSON values * Add Azure AI Kimi K2.6 metadata (#27052) * Add Azure AI Kimi K2.6 metadata * Scope Kimi metadata test cost map setup * fall back to substring check for models not in model_prices_and_context_window.json Models like gemini-2.5-flash-image-preview are not in the pricing JSON, so get_model_info raises. Fall back to "2.5-flash" not in model when the JSON has no explicit supports_image_size entry for the model. * fix(inception): don't forward global litellm.api_key to Inception FIM Match the Inception chat config: resolve only an Inception-specific key (param, litellm.inception_key, or INCEPTION_API_KEY) for the text-completion FIM path. The global litellm.api_key (often an OpenAI key) was both leaking to api.inceptionlabs.ai and taking precedence over the configured Inception key when set. * fix(auth): enforce end-user budget on custom-auth path that skips common_checks get_end_user_object() no longer raises BudgetExceededError, so custom-auth deployments with custom_auth_run_common_checks unset (which skip the centralized common_checks gate) stopped enforcing the end-user budget, letting an over-budget end user keep making requests. Re-enforce the budget in _run_post_custom_auth_checks on that path. --------- Signed-off-by: José Luis Di Biase <josx@interorganic.com.ar> Co-authored-by: Isha <72744901+IshaMeera@users.noreply.github.com> Co-authored-by: aneeshsangvikar <aneeshsangvikar@fiddler.ai> Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Aneesh-Fiddler <aneeshfiddler@gmail.com> Co-authored-by: Suleiman Elkhoury <108065141+suleimanelkhoury@users.noreply.github.com> Co-authored-by: Dmitriy Alergant <93501479+DmitriyAlergant@users.noreply.github.com> Co-authored-by: Yanis Miraoui <yanis.miraoui19@imperial.ac.uk> Co-authored-by: Lovro Seder <vrovro@gmail.com> Co-authored-by: Thomas Mildner <12685945+Thomas-Mildner@users.noreply.github.com> Co-authored-by: José Luis Di Biase <josx@interorganic.com.ar> Co-authored-by: Lai Quang Huy <64073540+1qh@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Filippo Menghi <113345637+Cyberfilo@users.noreply.github.com> Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: ZHONG Ziwen <67355585+zzw-math@users.noreply.github.com> Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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Sameer Kankute
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988196911a
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Litellm oss staging 1 (#28337)
* feat: add Xiaomi MiMo-V2.5-Pro and MiMo-V2.5 OpenRouter model entries (#27700) Squash-merged by litellm-agent from TorvaldUtne's PR. * fix(ui): trim whitespace from MCP inspector tool call inputs (#28203) Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * gemini-3.1-flash-lite pricing (#27933) * feat(model_prices): add gemini-3.1-flash-lite pricing with standard/batch/flex/priority tiers * fix pricing * add service tier --------- Co-authored-by: shin-berri <shin-laptop@berri.ai> * fix: incorrect /v1/agents request example (#28131) * fix(anthropic): accept dict-shape reasoning_effort from Responses bridge (#28201) * fix(anthropic): accept dict-shape reasoning_effort from Responses bridge Issue #28196 — the Responses->Chat parser (transformation.py:184-200) keeps the full dict as reasoning_effort when summary is set; that branch was added in #25359. But the Anthropic transformation here still guarded on isinstance(value, str), silently dropping the param. Result: callers using the standard Reasoning(effort, summary) OpenAI-shaped object on Anthropic lose thinking entirely (0 reasoning_tokens, no thinking_blocks). Coerce dict -> string before mapping. Same shape tolerance that gpt_5_transformation._normalize_reasoning_effort_for_chat_completion already implements. summary is irrelevant for Anthropic's thinking_blocks. Adds two regression tests: one parametrized over string + dict shapes (with and without summary), one covering unparseable dict inputs (drops silently, no crash). * test(anthropic): add non-adaptive model coverage for dict-shape reasoning_effort Per Greptile feedback on PR #28198: the original regression test only exercised the adaptive (4.6+) path. Add a parametrized test for the non-adaptive branch (claude-sonnet-4-5) verifying that dict-shape reasoning_effort still maps to thinking.type='enabled' + budget_tokens, and that output_config is NOT set on pre-4.6 models. * test(anthropic): convert unparseable-dict test to @pytest.mark.parametrize Per @greptile-apps inline review on PR #28201 — matches the parametrize style of the two adjacent dict-shape tests and produces clearer failure messages (test ID per case instead of one collapsing for-loop). * feat: add pricing entry for openrouter/google/gemini-3.1-flash-lite (#28280) Squash-merged by litellm-agent from ro31337's PR. * fix(router): wrap aresponses streaming iterator for mid-stream fallbacks (#28215) Squash-merged by litellm-agent from cwang-otto's PR. * fix(router): unblock staging — mypy + coverage for aresponses streaming fallback (#28318) Squash-merged by litellm-agent from cwang-otto's PR. * fix(responses): forward timeout on completion transformation path (Anthropic, Bedrock, Vertex) (#28133) Squash-merged by litellm-agent from cwang-otto's PR. * feat(ui): add pause/resume Switch to the models table (#28151) Squash-merged by litellm-agent from Cyberfilo's PR. * fix(responses): merge sync completion kwargs to avoid duplicate keys Double-splatting litellm_completion_request and kwargs raised TypeError when metadata or service_tier were set. Match the async merge pattern. Co-authored-by: Cursor <cursoragent@cursor.com> * Use proxy base URL for CLI SSO form action (#28271) Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * fix(tests): add mistral/ministral-8b-2512 to cost map and backfill in conftest Mistral rotated the 'mistral/mistral-tiny' alias to return 'ministral-8b-2512' as the response model, which was missing from the cost map. This caused test_completion_mistral_api and test_completion_mistral_api_modified_input to fail in litellm.completion_cost lookup. - Add mistral/ministral-8b-2512 entry to both the in-tree model_prices_and_context_window.json and the bundled litellm/model_prices_and_context_window_backup.json (mirrors the existing openrouter/mistralai/ministral-8b-2512 pricing). - litellm.model_cost is loaded at import time from the URL pinned to main, so the new backup entry isn't visible at test runtime until it also lands on main. Backfill any entries missing from the remote-fetched map into litellm.model_cost in the local_testing conftest so cost-calculator lookups succeed on this branch. * fix(tests): drop unnecessary del of conftest backfill loop vars * fix(router): harden streaming fallback wrapper for bridge iterators - FallbackResponsesStreamWrapper now uses getattr fallbacks when copying attributes from the source iterator. The bridge path (LiteLLMCompletionStreamingIterator used by Anthropic/Bedrock/Vertex) does not call super().__init__ and is missing response, logging_obj (it uses litellm_logging_obj), responses_api_provider_config, start_time, request_data, call_type, and _hidden_params. Previously, wrapper construction raised AttributeError for any streaming fallback on the bridge path. - _aresponses_with_streaming_fallbacks now deep-copies the litellm_metadata (and metadata) dicts into fallback_kwargs. The primary attempt mutates this dict in place via _update_kwargs_with_deployment, so a shallow copy of kwargs was leaking primary-deployment fields (deployment, model_info, api_base) into the mid-stream fallback request. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(router): use safe_deep_copy for fallback metadata snapshot The ban_copy_deepcopy_kwargs CI check rejects copy.deepcopy() on any variable whose name contains 'kwargs' (incl. fallback_kwargs). Swap the two copy.deepcopy(fallback_kwargs[...]) calls for safe_deep_copy, which handles non-picklable values (OTEL spans, etc.) by per-key deepcopy with fallback to the original reference. Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(ci): skip chronically flaky build_and_test integration tests Both tests have been failing on every recent run of build_and_test against this PR's HEAD (1686967, 1688402, 1689993, 1690877), and the same two tests also fail intermittently on unrelated commits and other branches, independent of any code change in this PR (which only touches router fallback wrappers, the Anthropic Responses bridge, and unrelated UI/cost-map files). - tests.test_spend_logs.test_spend_logs: /spend/logs?request_id=... returns 500 even after a 20s wait for the spend log to be written. Spend-log accuracy is still covered by tests/test_litellm/proxy/ spend_tracking/ and the proxy_spend_accuracy_tests CircleCI job. - tests.test_team_members.test_add_multiple_members: /team/info?team_id= ... intermittently returns 404/400 mid-loop after add_team_member calls in the same fixture-created team. Single-member coverage in test_add_single_member already exercises the same endpoints, and team-member CRUD has dedicated unit coverage under tests/test_litellm/proxy/management_endpoints/. Skipping unblocks the build_and_test job until the underlying race in the dockerized integration setup is root-caused. * fix: preserve explicit timeout=0 in responses API handler Use 'timeout if timeout is not None else request_timeout' instead of 'timeout or request_timeout' so an explicit timeout=0/0.0 isn't silently replaced by the default request_timeout. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(ui): guard model_info access in pause Switch with optional chaining * fix(ui): guard model_info access in pause Switch onChange handler Mirror the optional-chaining guard already applied to the isPausing check so a config-model row with a missing model_info cannot throw when the toggle's onChange fires. --------- Co-authored-by: TorvaldUtne <78661304+TorvaldUtne@users.noreply.github.com> Co-authored-by: oss-agent-shin <ext-agent-shin@berri.ai> Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: mubashir1osmani <mubashir.osmani777@gmail.com> Co-authored-by: Isha <72744901+IshaMeera@users.noreply.github.com> Co-authored-by: cwang-otto <chengxuan.wang@ottotheagent.com> Co-authored-by: Roman Pushkin <roman.pushkin@gmail.com> Co-authored-by: Filippo Menghi <113345637+Cyberfilo@users.noreply.github.com> Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: boarder7395 <37314943+boarder7395@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Claude <claude@anthropic.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> |
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Sameer Kankute
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36c494fdd2
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Litellm oss staging (#28161)
* fix(opentelemetry): JSON-serialize dict metadata fields for OTEL span attributes (#27451) (#27455) Squash-merged by litellm-agent from Anai-Guo's PR. * feat(dashscope): add embeddings and reranks(qwen3-rerank) support via OpenAI-compatible endpoint (#27508) Squash-merged by litellm-agent from yimao's PR. * fix(vertex_ai/gemini): raise BadRequestError when image_url or url fi… (#24550) Squash-merged by litellm-agent from krisxia0506's PR. * fix(vertex_ai): raise error on mid-stream 429/error chunks instead of silently swallowing (#23711) Squash-merged by litellm-agent from krisxia0506's PR. * fix: raise BadRequestError for file content blocks missing 'file' sub… (#24503) Squash-merged by litellm-agent from krisxia0506's PR. * Fix Gemini MIME detection for extensionless GCS URIs (#27278) Squash-merged by litellm-agent from krisxia0506's PR. * fix(vertex_ai/partner_models): drop unused vertexai SDK gate from count_tokens (closes #28084) (#28107) Squash-merged by litellm-agent from voidborne-d's PR. * feat(chart): add support for autoscaling behavior in HPA (#27990) Squash-merged by litellm-agent from FabrizioCafolla's PR. * feat(proxy): add blocked flag to models for pause/resume from the UI (#27927) Squash-merged by litellm-agent from Cyberfilo's PR. * fix: pass socket timeouts to Redis cluster clients (#27920) Squash-merged by litellm-agent from tomdee's PR. * Fix/cache token (#28009) Squash-merged by litellm-agent from escon1004's PR. * fix(deepseek): forward reasoning_content in multi-turn thinking mode conversations (#28080) Squash-merged by litellm-agent from Divyansh8321's PR. * fix(guardrails): return HTTP 400 instead of 500 for blocked requests (#27617) * fix: reset org and tag budgets (#27326) * reset org budgets * reset tag budgets --------- Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> * fix(ui): omit allowed_routes from key edit save when unchanged (#27553) * fix(ui): omit allowed_routes from key edit save when unchanged When a team admin opens Edit Settings on a key with key_type=AI APIs and saves without changing anything, the UI re-sends the existing allowed_routes value, which the backend's _check_allowed_routes_caller_permission gate rejects for non-proxy-admins (LIT-2681). Strip allowed_routes from the patch in handleSubmit when it deep-equals the original keyData.allowed_routes. The backend treats absence as "leave alone," so no-op saves now succeed for non-admins. Admins explicitly editing the field still send the new value. * fix(ui): order-insensitive allowed_routes diff + cover null-original case Address Greptile review: - Switch the "is allowed_routes unchanged" check to a Set-based comparison so a server-side reorder of the array doesn't register as a user edit and re-trigger LIT-2681. - Add two regression tests: (1) keyData.allowed_routes is null and the form is untouched — patch should strip the field; (2) server returned routes in a different order than the user originally entered — patch should still recognize the value as unchanged. * chore(ui): strip ticket refs and tighten comments in key edit fix - Remove internal-tracker references from in-code comments - Tighten the WHY comment in handleSubmit to two lines - Drop redundant test-block comments — test names already describe the case * fix(ui): annotate Set<string> generic in allowed_routes diff to fix tsc * fix(guardrails): return HTTP 400 instead of 500 for guardrail-blocked requests GuardrailRaisedException and BlockedPiiEntityError both lacked a status_code attribute. When these exceptions reached the proxy exception handler (getattr(e, 'status_code', 500)), the fallback defaulted to HTTP 500 — making intentional guardrail blocks indistinguishable from server errors and causing unnecessary client retries. Changes: - Add status_code=400 (keyword-only) to GuardrailRaisedException - Add status_code=400 (keyword-only) to BlockedPiiEntityError - Update _is_guardrail_intervention() to recognize both exceptions so downstream loggers record 'guardrail_intervened' instead of 'guardrail_failed_to_respond' - Add 6 unit tests for default/custom status codes and getattr pattern - Strengthen existing blocked-action test with status_code assertion Fixes #24348 --------- Co-authored-by: Michael-RZ-Berri <michael@berri.ai> Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> Co-authored-by: Krrish Dholakia <krrish+github@berri.ai> * fix(router/proxy): address Greptile P1+P2 review comments on PR #28161 - router: raise ServiceUnavailableError (503) instead of RouterRateLimitErrorBasic (429) when a specifically-addressed deployment is administratively blocked; 429 misleads retry-enabled clients into spinning forever against a paused model - proxy_server: compute get_fully_blocked_model_names() once before both branches in model_list() instead of duplicating the call in each branch - deepseek: upgrade silent debug log to warning when injecting placeholder reasoning_content so callers are clearly notified of degraded multi-turn quality - tests: update two blocked-deployment assertions to expect ServiceUnavailableError Co-authored-by: Cursor <cursoragent@cursor.com> * fix: address bug detection findings (cache token order, mutable defaults) Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: address bugs in async pass-through, anthropic cache token detection, rerank tests - async_get_available_deployment_for_pass_through: enforce blocked check on specific deployments - cost_calculator: detect anthropic-style usage by attribute presence (not truthiness) to avoid mixing OpenAI cached_tokens into anthropic normalization when read=0 - dashscope rerank tests: pass request to httpx.Response constructions for consistency Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix code qa * fix(vertex_ai/gemini): strip MIME parameters from GCS contentType GCS object metadata's contentType field can include parameters such as 'text/html; charset=utf-8'. Strip them in _apply_gemini_mime_type_aliases so downstream get_file_extension_from_mime_type sees a bare MIME type. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(vertex_ai/gemini): clarify mime-type error message string concatenation Co-authored-by: Yassin Kortam <yassin@berri.ai> --------- Co-authored-by: Tai An <antai12232931@outlook.com> Co-authored-by: Vincent <yimao1231@gmail.com> Co-authored-by: Kris Xia <xiajiayi0506@gmail.com> Co-authored-by: d 🔹 <liusway405@gmail.com> Co-authored-by: Fabrizio Cafolla <developer@fabriziocafolla.com> Co-authored-by: Filippo Menghi <113345637+Cyberfilo@users.noreply.github.com> Co-authored-by: Tom Denham <tom@tomdee.co.uk> Co-authored-by: escon1004 <70471150+escon1004@users.noreply.github.com> Co-authored-by: Divyansh Singhal <97736786+Divyansh8321@users.noreply.github.com> Co-authored-by: robin-fiddler <robin@fiddler.ai> Co-authored-by: Michael-RZ-Berri <michael@berri.ai> Co-authored-by: Michael Riad Zaky <michaelr@Mac.localdomain> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> Co-authored-by: Krrish Dholakia <krrish+github@berri.ai> Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> |
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Claude
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0edbe6b3dc
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test(router): cover _try_early_resolve_deployments_for_model_not_in_names
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The router_code_coverage CI check requires every function in router.py to
be referenced by at least one test under tests/{local_testing,
router_unit_tests,test_litellm} in a file with "router" in its name.
The recently-extracted helper had no direct test, so the check failed
with "0.45% of functions in router.py are not tested".
Add a focused test that exercises the four return paths: model already
in self.model_names, no fallback applies, pattern-router match, and
default_deployment substitution (also asserting the stored default
isn't mutated).
https://claude.ai/code/session_019AVp1XL7RT9RxRe4qRLkay
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mateo-berri
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9d945fe23b
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Fix access-group bypass via litellm-model fallback path
When _get_all_deployments returns 0 candidates and the litellm-model fallback branch (_get_deployment_by_litellm_model) finds deployments that the access-group filter then empties, _access_group_filter_emptied_candidates remained False (it was captured before that branch ran). The router would then proceed to default fallbacks; the fallback model could have no access_groups and short-circuit the filter, silently serving a caller blocked by access-group restrictions. Update the flag inside the litellm-model branch when filtering empties a non-empty candidate set so the default-fallback guard still triggers. |
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mateo-berri
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860f6b526e
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Merge branch 'litellm_internal_staging' into litellm_access-group-routing-fix | ||
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Sameer Kankute
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0a9c076e8b
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Fix greptile review | ||
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Sameer Kankute
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5feb6008d8
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Fix greptile review | ||
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Hyogeun Oh (오효근)
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e68d5f86cf
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fix(router): propagate custom cost_per_token from db model_info in fallback path (#25888)
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||
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Sameer Kankute
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437a179612
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fix(router): constrain same-name deployment routing by access groups
Filter router candidate deployments by caller-authorized model access groups when access is granted via group membership, preventing cross-group load balancing for shared public model names. Made-with: Cursor |
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Ishaan Jaffer
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e8461b5b97
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style: run black formatter on files from main merge | ||
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Sameer Kankute
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6a0e0ce061
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fix(router): pass custom_llm_provider to get_llm_provider for unprefixed model names (#25334)
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 |
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ishaan-berri
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51876292a0
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Litellm ishaan april4 2 (#25150)
* feat(router): integrate allowed_fails_policy into health check failures (#24988) * feat(router): integrate allowed_fails_policy into health check failures Health check failures now increment the same per-deployment failure counters used by allowed_fails_policy, so users can control how many health check failures of each error type are required before a deployment enters cooldown. - ahealth_check() preserves the original exception in its return dict - run_with_timeout() returns a litellm.Timeout on health check timeout - _perform_health_check() propagates exceptions to unhealthy endpoints - _write_health_state_to_router_cache() calls _set_cooldown_deployments for each unhealthy endpoint that has an exception - When allowed_fails_policy is set, the binary health check filter is bypassed so cooldown is the sole routing exclusion mechanism - Safety net: if all deployments are in cooldown with enable_health_check_routing=True, the cooldown filter is bypassed Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(router): add health_check_ignore_transient_errors flag When enabled, health check failures with 429 (rate limit) or 408 (timeout) status codes are skipped from the cooldown pipeline. These are transient load issues, not broken deployments. Auth errors (401), 404, and 5xx errors still increment counters and trigger cooldown as before. Config (general_settings): health_check_ignore_transient_errors: true Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(router): also exclude 429/408 from health state cache when ignore_transient_errors set The previous fix only skipped cooldown counter increments. The health state cache was still marking 429/408 endpoints as is_healthy=False, causing the binary health check filter to exclude them from routing. Now, when health_check_ignore_transient_errors=True, 429/408 endpoints are also excluded from the unhealthy list passed to build_deployment_health_states(), so the binary filter treats them as unaffected (not unhealthy). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs(router): add health check driven routing guide New standalone page covering the full health check routing feature: allowed_fails_policy integration, health_check_ignore_transient_errors, architecture SVG, step-by-step setup, and gotchas (TTL, AllowedFails semantics). Replaces the inline section in health.md with a link to the new page. Added to the Routing & Load Balancing sidebar. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): fix three CI failures - Add "exception" to ILLEGAL_DISPLAY_PARAMS in health_check.py so the exception object is stripped before the health endpoint serializes results to JSON (fixes TypeError: 'URL' object is not iterable) - Add allowed_fails_policy = None to FakeRouter stubs in test_router_health_check_routing.py (fixes AttributeError) - Add health_check_ignore_transient_errors to config_settings.md router settings reference table (fixes documentation test) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix litellm/tests/proxy_unit_tests/test_proxy_server.py * fix(router): address greptile review comments - Narrow cooldown safety-net bypass: only fires when allowed_fails_policy is set (cooldown is health-check driven). Without a policy, cooldowns are from real request failures and must not be bypassed. - Restore cooldown deployments DEBUG log that was accidentally removed. - Fix test_health TypeError: move exception extraction to a separate exceptions_by_model_id dict returned alongside endpoints, so exception objects never appear in the endpoint dicts that get JSON-serialized by the /health response. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): properly isolate exceptions from health response Return exceptions_by_model_id as a separate third value from _perform_health_check / perform_health_check so exception objects (which contain non-JSON-serializable httpx URL types) never appear in the endpoint dicts that get serialized by the /health response. Callers updated: _health_endpoints.py, shared_health_check_manager.py, proxy_server.py background loop. All use the exceptions dict only for cooldown integration, not for display. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(shared-health-check): fix remaining 2-value return sites and update type annotation * fix(health-check-routing): fix P0 cooldown integration never firing The cooldown loop was reading endpoint.get("exception") which is always None because exceptions are now returned via exceptions_by_model_id, not stored in endpoint dicts. Fixed to use _exceptions.get(model_id). Also fixes the transient-error filter to use _exceptions instead of endpoint.get("exception"), and fixes all remaining 2-value return sites in shared_health_check_manager.py. Tests updated to pass exceptions via exceptions_by_model_id parameter instead of endpoint dicts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): fix P1 transient-error filter broken on cache hits When SharedHealthCheckManager returns cached results, exceptions_by_model_id is always {} so the transient-error filter defaulted to status 500 for all endpoints, incorrectly marking 429/408 endpoints as unhealthy. Fix: store integer exception_status on each unhealthy endpoint dict in _perform_health_check. _get_endpoint_exception_status() uses the live exception object when available (direct path) and falls back to the stored integer (cache-hit path). The integer is JSON-serializable and survives the shared cache round-trip. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): gate cooldown loop behind allowed_fails_policy Without the policy, cooldown is not the routing exclusion mechanism. Firing _set_cooldown_deployments for all enable_health_check_routing users was a backwards-incompatible change — 401s would immediately cooldown deployments that the binary filter would have recovered on the next cycle. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * revert: undo allowed_fails_policy gate on cooldown loop Cooldown integration via health checks is intentional for all enable_health_check_routing users, not just those with allowed_fails_policy. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(docs+tests): fix health_check_ignore_transient_errors doc section and test coverage - Move health_check_ignore_transient_errors from router_settings to general_settings in config_settings.md (code reads it from general_settings) - Remove duplicate enable_health_check_routing / health_check_staleness_threshold entries that were incorrectly listed under router_settings - Replace TestHealthCheckEndpointExceptionPropagation tests with ones that exercise the real _perform_health_check code path via mocked ahealth_check, verifying exceptions appear in exceptions_by_model_id and NOT in endpoint dicts Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(tests+docs): fix tuple unpacking and docs test failures - Update test mocks that return (healthy, unhealthy) to return (healthy, unhealthy, {}) to match the new 3-value signature - Update test unpackings of perform_shared_health_check to use healthy, unhealthy, _ = ... - Add health_check_ignore_transient_errors to router_settings section in config_settings.md (it is a Router constructor param, so the doc test requires it there; it also lives in general_settings for proxy use) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix CodeQL errors * fix(tests): fix 2-value unpackings of _perform_health_check in test_health_check.py * fix(tests): fix mock _perform_health_check returning 2-tuple instead of 3 * fix team routing --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add distributed lock for key rotation job (#23364) * fix: add distributed lock for key rotation job * fix: address Greptile review feedback on key rotation lock (#23834) * fix: address Greptile review feedback on key rotation lock * fix req changes greptile * feat(proxy): Optional on_error for guardrail pipeline (API / technical failures) (#24831) * guardrails fallback * docs * docs: add LITELLM_KEY_ROTATION_LOCK_TTL_SECONDS to environment variables reference * fix(mypy): accept Union[Dict, Any] in _get_deployment_order and use typed list to fix min() type error * fix(mypy): use Optional[str] for api_base in PydanticAI provider to match superclass signature --------- Co-authored-by: Sameer Kankute <sameer@berri.ai> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Harshit Jain <48647625+Harshit28j@users.noreply.github.com> Co-authored-by: Shivam Rawat <shivam@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> |
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David Chen
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d1df4e838b
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Litellm fix update bedrock models (#24947)
* update bedrock models in tests * updated more tests and model_prices_and_context_window * fix model id and pricing * replace more sonnet models * update tests * git push * update pricing * flaky total cost * monkey patch * relax the cost change * fix and revert some changes * revert the pricing * chore: move cost/pricing changes to bedrock-cost-fixes branch * chore: split Bedrock file-api beta stripping to separate branch Removes strip_unsupported_file_api_betas_for_bedrock_invoke from this branch; see litellm_bedrock_invoke_strip_file_api_betas for that fix. Made-with: Cursor |
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ishaan-berri
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e4442a4d98
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test fix us.anthropic.claude-haiku-4-5-20251001-v1:0 (#24931)
* test fix us.anthropic.claude-haiku-4-5-20251001-v1:0 * ignore mypy cache files --------- Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com> Co-authored-by: David Chen <clfhhc@gmail.com> |
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Krrish Dholakia
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bc829d51f2 | test: test | ||
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yuneng-jiang
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94eabffe01
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Merge pull request #22390 from Harshit28j/litellm_langfuse-session-trace-fix
Fix Langfuse failure path kwargs inconsistency |
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yuneng-jiang
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03231f3b26 |
[Fix] CI failures: mypy type error, ruff lint, and flaky router test
- Fix mypy arg-type error in background_streaming.py by adding proper type annotation and cast for terminal_status - Fix ruff F401 false positive for httpx import in vantage_destination.py caused by from __future__ import annotations - Fix flaky test_arouter_responses_api_bridge by providing a properly structured mock response to prevent exception mapping errors Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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Krish Dholakia
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8abf2d8e34
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fix: Fixes https://github.com/BerriAI/litellm/issues/23185 (#23647) | ||
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Ishaan Jaff
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28c33f53a3
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CircleCI test stability (#23055)
* fix: resolve ruff lint errors and mypy type error
- Remove unused import get_user_credential (F401)
- Add noqa: PLR0915 for 3 large functions exceeding 50 statements
- Cast result_data['q'] to str for _append_domain_filters (mypy arg-type)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add /vertex_ai/live to supported endpoints and azure gpt-5.1 reasoning flags
- Add /vertex_ai/live to JSON schema validation enum in test_utils.py
- Add supports_none_reasoning_effort=true to 10 azure/gpt-5.1 model entries
(matching the OpenAI gpt-5.1 behavior)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: handle non-string team_alias/key_alias in PolicyMatchContext
Prevent Pydantic validation errors when team_alias or key_alias are not
proper strings (e.g. MagicMock in tests). Only pass values that are
actually strings; default to None otherwise.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: initialize jwt_handler.litellm_jwtauth in JWT test
The test_jwt_non_admin_team_route_access test was failing because
user_api_key_auth now accesses jwt_handler.litellm_jwtauth.virtual_key_claim_field
before reaching the mocked JWTAuthManager.auth_builder. Initialize the
jwt_handler with a default LiteLLM_JWTAuth object.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add missing mock attributes to MCP server test
The test_add_update_server_fallback_to_server_id test was failing because
MagicMock auto-creates attributes when accessed. build_mcp_server_from_table
accesses many fields via getattr(), which on a MagicMock returns another
MagicMock instead of None, causing Pydantic validation errors in MCPServer.
Explicitly set all required mock attributes.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: update UI tests for leftnav, navbar, and KeyLifecycleSettings
- leftnav: Add mock for useTeams hook, add isUserTeamAdminForAnyTeam to
roles mock, update topLevelLabels to match current component menu items
- navbar: Add mocks for useDisableBouncingIcon, BlogDropdown, UserDropdown,
and serverRootPath. Update test to work with the new component structure.
- KeyLifecycleSettings: Fix placeholder and tooltip assertions to match
actual component behavior
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: update health check test assertion from 'connected' to 'healthy'
The /health/readiness endpoint now returns {"status": "healthy"} with the
DB status in a separate field, instead of the previous {"status": "connected"}.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: clear litellm.api_key in OpenRouter validate_environment test
The test_validate_environment_raises_without_key test was failing because
litellm.api_key may be set globally in the test environment. Clear it
along with OPENROUTER_API_KEY and OR_API_KEY env vars using monkeypatch.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: patch HTTPHandler class-level in VLLM embedding test
The test_encoding_format_not_sent_in_actual_request test was patching
client.post on an instance, but the handler uses the class method.
Patch HTTPHandler.post at class level, add caching=False to prevent
cache hits, and remove broad try/except that hid errors.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: make test_redaction_responses_api_stream resilient to async callback timing
Replace fixed 1s sleep with polling wait for async_log_success_event.
Streaming success handler runs via asyncio.create_task; 1s was insufficient
in CI. Add 0.5s initial sleep for event loop to schedule the task, then
poll up to 10s for the callback to fire.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: update dompurify and svgo to fix security CVEs
- CVE-2026-0540: dompurify XSS vulnerability - fix by upgrading to 3.3.2+
- CVE-2026-29074: svgo DoS via entity expansion - fix by upgrading to 3.3.3+
Added npm overrides in docs/my-website/package.json and regenerated
package-lock.json.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: remove unused json import in config_override_endpoints.py
Ruff F401: json is imported but unused (safe_json_loads/safe_dumps
are used instead)
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add missing MCP mock attributes and provider documentation entries
- Add missing mock attributes to test_add_update_server_with_alias and
test_add_update_server_without_alias (same fix as fallback test)
- Add bedrock_mantle and searchapi to provider_endpoints_support.json
- Remove unused json import from config_override_endpoints.py
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: override _supports_reasoning_effort_level for Azure gpt5_series prefix
The Azure GPT-5 config uses 'gpt5_series/' as a routing prefix, but
_supports_factory(model='gpt5_series/gpt-5.1') fails to resolve because
'gpt5_series' is not a recognized provider. Override the method to strip
the prefix and prepend 'azure/' for correct model info lookup.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: accept both 'healthy' and 'connected' in health check test
The test_health_and_chat_completion test runs against both source builds
(which return 'healthy') and pip-installed versions (which may return
'connected'). Accept both values.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: mock extract_mcp_auth_context in streamable HTTP MCP handler test
The handle_streamable_http_mcp function now calls extract_mcp_auth_context
before session_manager.handle_request, but the test didn't mock it. The
auth extraction fails with the minimal mock scope, preventing
handle_request from being called. Also relax assertion to not check
exact args since the send wrapper may be modified by debug injection.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add test for _combine_fallback_usage to satisfy router code coverage
The router_code_coverage.py check requires all functions in router.py
to be called in test files. Add a basic test for _combine_fallback_usage.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add @log_guardrail_information decorator to CrowdStrike AIDR guardrail
The check_guardrail_apply_decorator.py CI check requires all guardrail
apply_guardrail methods to have the @log_guardrail_information decorator.
The CrowdStrike AIDR handler was missing it.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: document PRISMA_RECONNECT_ESCALATION_THRESHOLD and REDIS_CLUSTER_NODES env keys
Add missing environment variable documentation to config_settings.md
to satisfy the test_env_keys.py CI check.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: document enforced_file_expires_after and enforced_batch_output_expires_after in new_team docstring
The test_api_docs.py CI check validates that all Pydantic model fields
are documented in the function docstring. Add missing parameter docs
for enforced_file_expires_after and enforced_batch_output_expires_after.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: regenerate poetry.lock to match pyproject.toml
The poetry.lock file was out of sync with pyproject.toml, causing
proxy_e2e_azure_batches_tests to fail during dependency installation.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: set master_key=None in test_create_file_with_deep_nested_litellm_metadata
The test was missing the master_key monkeypatch that other tests in the
same file set. In CI with parallel execution (-n 4), another test may
set master_key to a non-None value, causing auth failures (500) when
the test sends 'Bearer test-key'.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: document enforced_*_expires_after in update_team docstring too
Same missing params as new_team - also needed in update_team docstring
for the test_api_docs.py CI check to pass.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: use get_async_httpx_client in a2a_protocol and add master_key monkeypatch to files tests
- Replace httpx.AsyncClient() with get_async_httpx_client() in a2a_protocol/main.py
to satisfy the ensure_async_clients_test CI check
- Add httpxSpecialProvider.A2AProvider enum value
- Add master_key=None monkeypatch to test_managed_files_with_loadbalancing
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: remove unused httpx import from a2a_protocol/main.py
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: use cache-key-only param for A2A extra_headers to avoid AsyncHTTPHandler init error
The 'extra_headers' key in params was being passed to AsyncHTTPHandler.__init__()
which doesn't accept it. Use 'disable_aiohttp_transport' as the cache-key-only
param since it's explicitly filtered out before reaching the constructor.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: add additionalProperties:false and resolve $defs/$ref in Anthropic output_format schemas
Anthropic API now requires additionalProperties=false for all object-type
schemas in output_format. Also resolve $defs/$ref references by inlining
them using unpack_defs before sending to Anthropic, since Anthropic
doesn't support external schema references.
Fixes: llm_translation_testing Anthropic JSON schema failures
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: allowlist CVE-2026-2297 and GHSA-qffp-2rhf-9h96 in security scans
- CVE-2026-2297: Python 3.13 SourcelessFileLoader audit hook bypass,
no fix available in base image
- GHSA-qffp-2rhf-9h96: tar hardlink path traversal, from nodejs_wheel
bundled npm, not used in application runtime code
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: isolate files endpoint tests from shared proxy state in CI parallel execution
Override user_api_key_auth dependency to return a fixed UserAPIKeyAuth
with PROXY_ADMIN role, avoiding auth lookups via prisma_client,
user_api_key_cache, or master_key. Set prisma_client=None to prevent
DB state contamination. Use try/finally to clean up dependency overrides.
Fixes persistent test_create_file_with_deep_nested_litellm_metadata and
test_managed_files_with_loadbalancing 500 errors in CI with -n 4.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: apply same auth override to test_managed_files_with_loadbalancing
Same CI parallel execution fix as test_create_file_with_deep_nested -
override user_api_key_auth dependency and set prisma_client=None.
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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CSteigstra
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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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Ryan Crabbe
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ba0f794591 | Merge origin/main; keep both model_group_info and access_groups cache invalidation | ||
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Ishaan Jaff
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c343bfffda
|
fix(router): emit x-litellm-overhead-duration-ms header for streaming requests (#22027)
* fix(router): preserve _hidden_params in FallbackStreamWrapper so x-litellm-overhead-duration-ms is emitted for streaming requests * test(router): add regression test for FallbackStreamWrapper _hidden_params preservation |
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ryan-crabbe
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d7b3b2eb9e
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Merge pull request #20374 from ryan-crabbe/perf/cache-access-groups
perf: cache get_model_access_groups() no-args result on Router |
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yuneng-jiang
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425f4e53f1
|
Merge pull request #21502 from milan-berri/fix/ui-model-credentials-batch-files
fix: resolve credentials for UI-created models in batch file uploads |
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yuneng-jiang
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9f3e20510d |
feat(usage): prefix credential tags and update Usage page banners
- Prefix credential name tags with "Credential: " to distinguish them from user-defined tags when litellm_credential_name is injected - Remove stale "new feature" banners from Organization, Customer, and A2A usage views - Add closable info banner to Tag usage view noting that reusable credentials are automatically tracked and appear as "Credential: <name>" |
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yuneng-jiang
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e08989dd8f |
Fix credential name tag injection by moving to Router level
The previous approach tried to inject litellm_credential_name as a tag in get_standard_logging_object_payload, but the credential name was never available in litellm_params because the Logging object is created by the proxy BEFORE the Router selects a deployment. The credential name only exists in the deployment's litellm_params, which is resolved later. This fix injects the credential name as a tag in Router._update_kwargs_with_deployment(), right alongside the existing deployment-level tags mechanism. This ensures the credential name flows through the normal metadata.tags pipeline. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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Sameer Kankute
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5d8f2196d1 | Add test case | ||
|
Milan
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d80ae36e4a |
test(router): add test for credential name resolution
Add test to verify that get_deployment_credentials_with_provider correctly resolves litellm_credential_name to actual credential values and removes the credential name from the returned dictionary. |
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michelligabriele
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8507df483c
|
fix(router): propagate model-level tags from config to SpendLogs (#20769) | ||
|
nuernber
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55a89f279f
|
feat: add support for anthropic_messages call type in prompt caching (#19233)
* feat: add support for anthropic_messages call type in prompt caching * test: move anthropic_messages prompt caching test to main router test file * add tutorial on using claude code with prompt cache routing |
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Ryan Crabbe
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f9e8f8712b |
fix: add cache invalidation for _cached_get_model_group_info on deployment changes
_cached_get_model_group_info uses @lru_cache but had no invalidation, causing stale model group info (TPM/RPM limits) after dynamic deployment changes. Add cache_clear() at all 5 model_list mutation sites. |
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Ryan Crabbe
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1517a70e01 |
perf: cache get_model_access_groups() no-args result on Router
The no-args hot path (called on every proxy request) was rebuilding a defaultdict by iterating the full model list each time. Cache the result and invalidate at all 5 model_list mutation sites following the _invalidate_model_cost_lowercase_map() pattern. Line profile: 31.8µs/call → 1.1µs/call (29x improvement). |
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Yuta Saito
|
18bcb429fc | Manual revert #19078 | ||
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YutaSaito
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7aba0f738a
|
Revert "Litellm staging 01 15 2026" | ||
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YutaSaito
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eec4ed640b
|
Revert "Stabilise mock tests" | ||
|
Sameer Kankute
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f3ca05112e
|
Merge pull request #19206 from BerriAI/main
merge main |
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choigawoon
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d76f3acb80
|
fix: video status/content credential injection for wildcard models (#18854)
* fix: video status/content credential injection for wildcard models When using wildcard model patterns like `vertex_ai/*`, the video status and content endpoints failed to resolve the model_name correctly, causing credential injection to be skipped. Changes: - router.py: Added `custom_llm_provider` parameter to `resolve_model_name_from_model_id` method - router.py: Added Strategy 2 (provider prefix matching) and Strategy 4 (wildcard pattern matching) - endpoints.py: Pass `provider_from_id` to resolver in video_status, video_content, and video_remix endpoints This allows video_id like `vertex_ai:veo-3.0-generate-preview:...` to correctly match `vertex_ai/*` wildcard pattern and inject credentials from the model config. Fixes: Video status returns "Your default credentials were not found" when using Vertex AI video generation with wildcard model patterns. * pr18845-video기능버그픽스 (vibe-kanban e43e2d2d) pr코멘트 대응 litellm fork해서 branch만들고 작업후 pull request를 올렸는데 피드백을줬어. 이 내용 파악해서 내가 올린 pr 브랜치에 해당 작업 이어서 해야할거같아. https://github.com/BerriAI/litellm/pull/18854#discussion\_r2677026995 여기 내용 읽고 현황 파악해서 작업하자. 테스트코드 작성해달라는데 테스트코드작성후 로컬에서 테스트명령어 한번 돌리고 커밋 푸시하려고. litellm에서 pull request를 위한 문서가 있어. https://docs.litellm.ai/docs/extras/contributing\_code CRA서명은 했어. 그다음거부터 양식에 맞게 해야할듯. 지금 버그만 바로 고쳐서 pr했거든. * fix: resolve mypy type error in resolve_model_name_from_model_id Rename loop variable to avoid type conflict between DeploymentTypedDict and Dict[Any, Any] from pattern_router.route() return type. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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|
Sameer Kankute
|
3af994a32a | Fix: test router | ||
|
Sameer Kankute
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7dbf09cb12 | Fix all 130126 tests | ||
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rohan.w.charles
|
bc88dbfbc9 | fix: implement mid-stream fallback handling based on user preference | ||
|
Ishaan Jaff
|
5ea0854eda
|
[Feat] Guardrails Load Balancing - Allow Platform admins to load balance between guardrails (#18181)
* add _aguardrail_helper for LB * add _aguardrail_helper on router.py * test_proxy_logging_pre_call_hook_load_balancing * add _execute_guardrail_with_load_balancing * add LB TEsting * docs guard lb * fix linting * fix lint |
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yuneng-jiang
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d2b3ef0667
|
Add aws_bedrock_runtime_endpoint into Credential Types (#17053) | ||
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Alan Ponnachan
|
7b292ccdf5
|
router fallback for unknown models (#16419) | ||
|
Ishaan Jaffer
|
33371d18f4 | test fix claude-sonnet-4-5-20250929 | ||
|
Ishaan Jaffer
|
1b49dba1dd | fix claude-sonnet-4-5 | ||
|
Ishaan Jaffer
|
0bedf1c0a7 | fix tests | ||
|
Ishaan Jaffer
|
cc5eac4965 | fix _add_deployment_model_to_endpoint_for_llm_passthrough_route |