litellm

Author	SHA1	Message	Date
Sameer Kankute	b84f7f82f7	Litellm oss staging (#29492 ) * fix(llm_http_handler): forward kwargs['model_info'] to litellm_params for /v1/messages Router._update_kwargs_with_deployment stamps the selected deployment's model_info on kwargs['model_info'] before dispatching the request. Downstream cooldown / success callbacks (deployment_callback_on_failure, deployment_callback_on_success) look up the deployment id via kwargs['litellm_params']['model_info']['id']. async_anthropic_messages_handler constructs its own litellm_params dict when calling logging_obj.update_from_kwargs and never forwarded model_info. As a result, /v1/messages requests dispatched through the Router had an empty model_info on litellm_params, the deployment id was not discoverable, and cooldown / success tracking were silently skipped for this call type. Forward kwargs['model_info'] into the litellm_params dict so the existing Router callbacks can identify the deployment. * merge main (#29486) * [Refactor] UI - Spend Logs: consolidate filter state and extract components (#25847) * [Refactor] UI - Spend Logs: consolidate filter state, extract components, remove dead code - Lift filter state into index.tsx and pass to hook (removes selectedX vars + sync useEffect) - Move main useQuery into useLogFilterLogic hook (removes isMainQueryEnabled toggle) - Delete dead RequestViewer component (300 lines, replaced by LogDetailsDrawer) - Extract LogsTableToolbar component (search, date range, pagination, live tail) - Extract filter options config to filter_options.ts - Remove dead code: handleRefresh, handleSelectLog, handleCloseDrawer, formatTimeUnit, showFilters/showColumnDropdown state, dropdownRef/filtersRef * Fix PR feedback: use antd Switch instead of Tremor in new file, fix typo * Collapse dual-path filtering into single React Query All 10 filter keys now go through the useQuery — the imperative performSearch / debouncedSearch / backendFilteredLogs path is deleted. Filter values are debounced via useDebouncedValue(300ms) before hitting the query key so text inputs don't fire per-keystroke. Removed: performSearch, debouncedSearch, backendFilteredLogs, lastSearchTimestamp, hasBackendFilters, clientDerivedFilteredLogs, the sort/page/time refetch useEffect, and the filteredLogs chooser memo. * Clean up remaining smells: remove isFetchingDeferred, internalize selectedTimeInterval, fix circular import - Remove useDeferredValue/isButtonLoading — pass logsQuery.isFetching directly - Move selectedTimeInterval into LogsTableToolbar as internal state - Move PaginatedResponse type from index.tsx to log_filter_logic.tsx * Fix quick-select dropdown overlapping sidebar * Fix stale quick-select label after Reset Filters Move selectedTimeInterval back to parent so handleFilterReset can reset it to the 24-hour default. The toolbar receives it as a prop. * refactor useLogFilterLogic tests for controlled-hook + backend-query shape The hook no longer owns filter state or does client-side filtering — it receives filters/setFilters as props and drives filteredLogs from a useQuery over uiSpendLogsCall. Reshape the tests around that contract: introduce a controlled harness that owns filter state, collapse the 10 per-filter assertions into a single it.each over filterKey → API param, and drop the client-side passthrough tests (the .min test file and the "return all logs when no filters" / "empty when logs null" cases) that no longer correspond to any hook behavior. * cover new useLogFilterLogic invariants: activeTab gate, filterByCurrentUser fallback, debounce negative, partial merge Follow-up to the test refactor. Adds coverage for invariants the refactored hook contract introduced but that the first pass didn't assert: - query enablement: expand the single accessToken-null case into an it.each over all four credential props (accessToken, token, userRole, userID), plus a separate test for activeTab !== "request logs" - filterByCurrentUser: when true with a blank User ID filter, the outbound request carries user_id = userID - debounce: also assert the negative case — no call in the first 100ms after a filter change (first waiting out the initial mount fire) - handleFilterChange: partial updates merge without clobbering other filter keys (protects the spread + default-fill semantics) - handleFilterReset: calls setCurrentPage(1) alongside restoring filters * fix typo dropping the live-tail banner border Tailwind silently ignores unknown classes, so border-greem-200 was leaving the auto-refresh banner with only its bg-green-50 fill and no outline. * memoize columns and derived table data in SpendLogsTable The table's columns array, four-pass data pipeline, and sort-change handler were all being rebuilt on every parent render. That made every filter click re-instance all 23 TanStack-Table columns, re-run filter/reduce/map over all rows, and recreate per-row click closures — all before the intentional 300ms debounce timer even got a chance to fire. Local measurement (40 rows, dev mode): filter click → query fires: 1957ms → 1217ms (−38%) Wrap createColumns in useMemo keyed on sortBy/sortOrder, hoist onSortChange into a useCallback, and move the searchedLogs / sessionComposition / sessionRepresentativeMap / filteredData derivations into a single useMemo keyed on filteredLogs.data + searchTerm. These were pre-existing issues on main — not regressions from the hook refactor — but the refactor made them user-visible because the new query debounce put render cost on the critical path. * apply dropdown filters instantly, debounce only text inputs Dropdown selects now bypass the 300ms debounce so a click updates the table immediately. Text inputs (Key Hash, Error Message, Request ID, User ID) still debounce. handleFilterReset also clears the pending debounced value so a half-typed text filter can't re-fire after reset. * fix(ui/spend-logs): restore lost loading/debounce behavior + cover dropped tests Regressions from the spend-logs-view refactor: - debounce the 'Public model / search tool' text filter (was firing a backend query per keystroke) via TEXT_FILTER_KEYS - restore Fetch-button smoothing through table repaint using useDeferredValue on the rendered data (explicit staleness) - show AntDLoadingSpinner during the auth-resolve phase instead of a blank screen on first load - only live-tail-poll while the tab is visible (refetchIntervalInBackground: false) - extract getLiveTailRefetchInterval helper for the poll decision Tests: - LogDetailContent: retries display (>0 / 0 / absent), overhead-absent - log_filter_logic: regression guard that the public-model filter debounces; getLiveTailRefetchInterval unit tests - logs_utils: getTimeRangeDisplay quick-select window labels * test(ui/spend-logs): cover the cold-load auth-not-ready spinner guard Asserts SpendLogsTable shows a loading spinner (not a blank screen) while credentials are unresolved, and renders the table once present. * fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5 (#28281) * fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5 OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so the live audio calls in test_stream_chunk_builder_openai_audio_output_usage and test_standard_logging_payload_audio now hard-fail with a model-not-found error on every PR. The error was not "openai-internal", so the except block swallowed it and execution fell through to an unbound completion/response (UnboundLocalError). Switch both tests to gpt-audio-1.5, OpenAI's recommended successor (GA, not deprecated, already present in the litellm cost map so the response_cost assertion still resolves). Also broaden the except to skip with the real error in the reason instead of crashing, so a transient upstream blip can't reintroduce the UnboundLocalError. * fix(tests): narrow audio-test skip to model-not-found, re-raise the rest Address review feedback: an unconditional skip on any exception would silently mask a litellm-internal regression in the audio path (broken param transformation, serialization, bad header) instead of failing CI. Skip only on the upstream-unavailable class (model_not_found / "does not exist" / openai-internal) and re-raise everything else, so genuine regressions still fail loudly. The UnboundLocalError is still fixed because the handler either skips or raises - it never falls through. * fix(tests): add budget_exceeded to expected Interaction status enum Staging added budget_exceeded to the Interaction OpenAPI status enum; the staging merge into this branch picked up the spec change but not the matching test update, so test_status_enum_values failed in CI. Align the test's expected list (exact-match by design) with the live spec. * fix(tests): mock HTTP fetch in test_img_url_token_counter The test parameterized a live third-party image URL (blog.purpureus.net) which now 404s, causing get_image_dimensions to fall through to its base64 decode path and crash with 'not enough values to unpack' on every PR run. Mock safe_get with a tiny 1x1 PNG so the URL branch is still exercised without any network dependency. * fix(tests): swap gpt-4o-audio-preview to gpt-audio-1.5 in test_gpt4o_audio OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so both live tests in test_gpt4o_audio.py (test_audio_output_from_model and test_audio_input_to_model) hard-fail model_not_found on every PR. Swap the hardcoded model to OpenAI's successor gpt-audio-1.5 (same chat-completions audio surface; already in the litellm cost map). Mirror the narrowed-skip pattern from the prior audio fixes: skip on model_not_found / does-not-exist / openai-internal, re-raise everything else so genuine litellm regressions still fail CI loudly. * chore(ci): bump versions (#28287) * bump: version 0.4.72 → 0.4.73 * bump: version 1.86.0 → 1.87.0 * uv lock * feat: propagate team_id and team_alias to all child OTEL spans (#28273) - Add `_set_team_attributes_on_span` helper to stamp team_id/team_alias onto any span, ensuring these attributes are not limited to the root litellm_request span - Add `_set_team_attributes_from_kwargs` helper to extract team metadata from the standard_logging_object in kwargs and apply them to a span - Apply team attributes to raw request spans via `_maybe_log_raw_request` so downstream consumers can filter traces by team without needing the root span - Apply team attributes to guardrail spans so guardrail activity can be correlated to teams in tracing backends - Apply team attributes to exception logging spans to preserve team context during failure paths - Add comprehensive unit tests covering all new helpers, including edge cases where metadata or standard_logging_object is absent Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> * Day 0 support : Gemini 3.5 Flash (#28268) * Add day 0 support for gemini 3.5 flash * Fix pricing * Fix greptile review * Fix failing test * Fix tests * Fix: revert tool removing logic * fix greptile and test --------- Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> * Gemini managed agents support (#28270) * Add support for environment variable in interactions api * Add sdk support for gemini create agent * Add agents endpoint support via proxy * Add outputs of each api * Add routing for model and agents param * Remove redundant condition in get_provider_agents_api_config LlmProviders.GEMINI.value is literally the string "gemini", so the second clause of the or was checking the exact same thing as the first. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: forward query-param credentials to list/get/delete/versions Gemini agent endpoints The list_gemini_agents, get_gemini_agent, delete_gemini_agent, and list_gemini_agent_versions endpoints previously constructed a hardcoded data dict with no mechanism to pass provider credentials. Unlike create_gemini_agent (POST, reads litellm_params_template from body), these GET/DELETE endpoints gave no way for multi-tenant callers to supply a per-request api_key or other LiteLLM params. Fix: - Add _merge_query_params_into_data() helper that reads query parameters from the request and merges them into the data dict without overwriting already-set keys (e.g. path params like 'name'). - Support a JSON-encoded litellm_params_template query parameter (matching the POST body pattern) as well as flat key=value pairs (e.g. api_key=AIza...). - Apply the helper in all four affected endpoints. - Add 13 unit tests covering the helper and each endpoint. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: pass model=None for managed agent proxy endpoints to prevent agent name polluting data["model"] Endpoints acreate_agent, aget_agent, adelete_agent, and alist_agent_versions were passing model=<agent_name> to base_process_llm_request. This caused common_processing_pre_call_logic to write the agent name into self.data["model"], which then triggered spurious model-alias mapping, rate-limiting lookups, and logging tied to a non-existent model deployment. The agent name is already carried in data["name"] and is passed correctly to the SDK functions (litellm.interactions.agents.). There is no reason to also set model=<agent_name>; the correct value is model=None for all five managed-agent management routes. Adds tests/test_litellm/proxy/google_endpoints/test_managed_agents_model_param.py to verify all five managed-agent endpoints pass model=None. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> fix: address greptile P1/P2 review comments P1 (router.py): Restore fallback/retry support for acreate_interaction and create_interaction. Both were silently moved to _init_interactions_api_endpoints (direct call, no fallbacks). Moved them back to _ageneric_api_call_with_fallbacks so users with configured fallback models keep retry behaviour. P1 security (agents_endpoints.py): Remove flat query-param credential path (e.g. ?api_key=AIza...) from _merge_query_params_into_data. Credentials in URL query strings appear verbatim in server access logs, CDN edge logs, and browser history. Only the JSON-encoded litellm_params_template query param (matching the POST body pattern) is retained. P2 (interactions/http_handler.py): Extract _BaseHTTPHandler with shared _handle_error, _sync_client, and _async_client helpers. InteractionsHTTPHandler now extends _BaseHTTPHandler. The _async_client reads the provider from litellm_params instead of hardcoding GEMINI. P2 (interactions/agents/http_handler.py): AgentsHTTPHandler now extends InteractionsHTTPHandler (which inherits _BaseHTTPHandler) so all shared HTTP infrastructure is reused rather than duplicated. Removes the hardcoded LlmProviders.GEMINI from the async client path. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: address CI failures from greptile review fixes - black: format interactions/agents/main.py and utils.py - tests: update test_gemini_agents_endpoints.py to match new _merge_query_params_into_data behaviour (flat credential params are rejected; only JSON-encoded litellm_params_template is accepted) - ci: add test_gemini_agents_endpoints.py to endpoints-and-responses shard in test-unit-proxy-db.yml so assert-shard-coverage passes - tests: add _initialize_managed_agents_endpoints and _init_managed_agents_api_endpoints test coverage so router_code_coverage passes; also fix TestRouterCreateInteractionRouting to reflect that acreate_interaction now correctly routes through _ageneric_api_call_with_fallbacks (restoring fallback support) Co-authored-by: Cursor <cursoragent@cursor.com> * fix: remove InteractionsHTTPHandler._handle_error override to fix type errors AgentsHTTPHandler extends InteractionsHTTPHandler and calls self._handle_error(provider_config=agents_api_config) where agents_api_config is BaseAgentsAPIConfig. Python MRO resolved _handle_error to InteractionsHTTPHandler._handle_error which expected BaseInteractionsAPIConfig, causing 10 mypy arg-type errors in interactions/agents/http_handler.py. Removing the redundant override lets both classes inherit _BaseHTTPHandler._handle_error (provider_config: Any) which is structurally correct for both config types. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: agent-only interactions and managed agents provider routing Resolve None custom_llm_provider in agents HTTP client lookup and set custom_llm_provider on GenericLiteLLMParams for all agent CRUD paths. Stop mapping agent names to proxy model routing; route interactions through _init_interactions_api_endpoints with fallbacks only when model is set. Consolidate duplicate router elif branches for interaction APIs. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix greptile review * test(agents): add unit tests for managed agents SDK and HTTP handler Adds coverage for the new `litellm.interactions.agents` surface area: - main.py: sync/async entry points (create/list/get/delete/list_versions), provider config lookup, logging-obj helper, async error wrapping - http_handler.py: every CRUD method (sync + async paths), `_is_async` dispatch branches, and provider error mapping through GeminiAgentsConfig - utils.py: get_provider_agents_api_config for supported / unsupported providers Brings patch coverage on these files from <25% to ~100% so codecov/patch is satisfied. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * docs(gemini-agents): fix misleading credential-passing examples in GET/DELETE docstrings (#28293) The four GET/DELETE endpoint docstrings (list_gemini_agents, get_gemini_agent, delete_gemini_agent, list_gemini_agent_versions) documented passing per-request credentials as flat query parameters (e.g. ?api_key=AIza...). However, _merge_query_params_into_data only reads the JSON-encoded litellm_params_template query parameter and intentionally ignores flat params (URL query strings appear verbatim in access logs, browser history, and Referer headers). Callers following the documented curl examples would have their credentials silently dropped and hit auth failures against Gemini. Update the examples to use the supported JSON-encoded litellm_params_template query parameter, matching _merge_query_params_into_data's own docstring. Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * refactor(agents): rename provider-agnostic agent response types Move GeminiAgent{ListResponse,DeleteResult,VersionsResponse} to provider-neutral names (AgentListResponse, AgentDeleteResult, AgentVersionsResponse) so the BaseAgentsAPIConfig interface no longer references Gemini-specific type names. * fix(gemini-agents): close veria-flagged credential-escalation gaps Two high-severity findings from the veria-ai PR review are addressed: 1. api_base override could leak the shared Gemini key GeminiAgentsConfig.validate_environment falls back to GOOGLE_API_KEY / GEMINI_API_KEY when no api_key is supplied. Combined with caller-controlled api_base on the proxy CRUD endpoints, an authenticated user could redirect the outbound request to an attacker-controlled host and capture the operator's shared Gemini key from the x-goog-api-key header. The config now refuses env-fallback whenever api_base is explicitly overridden. 2. Managed-agent CRUD exposed to ordinary LLM keys The new /v1beta/agents routes live in google_routes (i.e. llm_api_routes), so any non-admin LLM key can reach them. Unlike /v1beta/models/...: generateContent these endpoints are NOT model-routed and have no model_list-supplied credentials, so env-fallback would let any LLM key list / create / delete agents inside the operator's Gemini project. Each endpoint now calls _enforce_caller_supplied_provider_key, which requires non-admin callers to supply their own Gemini api_key via litellm_params_template. Proxy admins keep the env-fallback convenience. Tests cover non-admin rejection, admin allow-through, the api_base override guard, and SDK env-fallback when api_base is not overridden. Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * test(router): restore strict assert_called_once_with on interactions default-provider test --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * feat(gemini): add gemini-3.1-flash-lite model cost map (#28320) * feat(gemini): add gemini-3.1-flash-lite model cost map entries Co-authored-by: Cursor <cursoragent@cursor.com> * Update model_prices_and_context_window.json * Update source URL for model pricing information * Sync source URL for gemini-3.1-flash-lite in backup JSON * fix(model_cost_map): add mistral/ministral-8b-2512 entry Mistral rotated the 'mistral/mistral-tiny' alias to return 'ministral-8b-2512' as the response model, which is not in the cost map. This caused test_completion_mistral_api and test_completion_mistral_api_modified_input to fail in completion_cost lookup. Add the entry mirroring the existing openrouter/mistralai/ministral-8b-2512 pricing. * test(cost_calculator): assert output_cost_per_reasoning_token for gemini-3.1-flash-lite * fix(tests): backfill local backup entries into runtime model_cost litellm.model_cost is loaded from LITELLM_MODEL_COST_MAP_URL (pinned to main) at import time, so any pricing entries added to the in-tree backup on this branch aren't visible at test runtime until they also land on main. The Mistral cassette currently returns model=ministral-8b-2512 and the cost-calculator lookup in test_completion_mistral_api / test_completion_mistral_api_modified_input fails despite the entry existing in the local backup. Backfill missing backup entries into litellm.model_cost in the local_testing conftest so these lookups succeed against the cassette state the branch is being tested with. * fix(tests): guard conftest backfill against empty local cost map --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> * fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed (#27854) * fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed Symptom ------- Customers on multi-pod deployments see team `spend` jump to ~2x (or N x the pod count) shortly after a Redis cache miss / TTL expiry, triggering spurious "Budget Crossed" alerts and blocked requests until the value is manually reset. Root cause ---------- `SpendCounterReseed.coalesced` warmed the primary spend counter by calling `redis.async_increment(key, value=db_spend, refresh_ttl=True)`, which lowers to Redis `INCRBYFLOAT`. That is additive, not idempotent. The per-counter `asyncio.Lock` only coalesces seeders inside one process. With N pods sharing one Redis, on a cold key (cold start, TTL expiry, manual delete) every pod independently passes its lock + Redis re-check, reads the same `db_spend`, and issues `INCRBYFLOAT db_spend`. Final value: N x db_spend. Fix --- Use `redis.async_set_cache(key, value=db_spend, nx=True)` for the seed. SET NX is atomic across pods: exactly one writer initializes the key; losers read the winner's value via `async_get_cache`. This is the same idiom already used by `coalesced_window` in the same file, so the two seed paths are now consistent. Per-request deltas continue to use `INCRBYFLOAT` (correct - additive behaviour is what we want for increments, not for initial seed). Verification ------------ Live two-process repro against the same Postgres + Redis (DB spend = 506): Unpatched: 4/4 runs -> Redis counter = ~1012 (~2 x db_spend) Patched: 12/12 runs -> Redis counter = ~506 Unit tests (`test_proxy_server.py`): - New `test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed` patches `_get_lock` to return a fresh lock per caller (otherwise the per-process lock masks the race), races two `coalesced` calls, and asserts final = 506 with exactly one of two SET NX attempts winning. - 4 existing tests updated for the new seed contract (SET NX for the seed, INCRBYFLOAT only for the per-request delta). - Full `spend_counter or reseed or budget` slice: 22 passed. Co-authored-by: Cursor <cursoragent@cursor.com> * test(spend_counter): make SET NX mock atomic so loser branch is exercised Greptile flagged that `redis_set_cache` in test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed placed `await asyncio.sleep(0)` AFTER the NX membership check. Both concurrent tasks observed an empty `redis_store`, passed the guard, and both returned True - so the loser branch (else: read back winner's value) was never exercised. Fix the mock to model real atomic Redis SET NX: - Yield BEFORE the membership check so two concurrent callers interleave the way real SET NX does (first to resume runs check + write atomically and wins; second resumes after the key exists and loses). - Track set_cache return values; assert sorted([loser, winner]) so we know exactly one task wins and one loses. - Track async_get_cache calls that happen AFTER at least one SET NX has completed; assert at least one such read - that is the loser-path fallback (`current_value = float(cached)` when seeded is False). Verified by temporarily reverting the mock to the old order: the test now fails with `expected exactly one SET NX winner and one loser, got [True, True]`, exactly the failure mode Greptile described. No production code change. Co-authored-by: Cursor <cursoragent@cursor.com> * test(spend_counter): mock async_set_cache to populate redis_store in concurrent read+write test `test_concurrent_read_and_write_paths_share_one_db_query` mocks `async_increment` to populate the in-memory `redis_store`, but did not mock `async_set_cache`. After the SET-NX seed change in `coalesced()`, the seed step writes via `async_set_cache(nx=True)` (default AsyncMock, no `redis_store` write), so the simulated Redis stays empty after the first reseed. The second `get_current_spend` then sees a clean Redis miss, re-enters the DB read path, and the test fails with `expected 1 DB query, got 2`. Fix: add a `redis_set_cache` side_effect that updates `redis_store` on `nx=True` (and rejects when the key already exists), matching the pattern used by the four sibling tests fixed in this branch's first commit. Pre-existing assertions are unchanged. Full `tests/test_litellm/proxy/test_proxy_server.py`: 158 passed. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): normalize batch file IDs before ManagedObjectTable write (#28339) * fix(proxy): normalize batch file IDs before ManagedObjectTable write Run post_call_success_hook before update_batch_in_database on retrieve/cancel, and ensure_batch_response_managed_file_ids so file_object never stores raw provider output_file_id or error_file_id. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): address Greptile review on batch file ID normalization Remove redundant resolve_* calls after update_batch_in_database and rename loop variable to avoid shadowing hidden_params unified_file_id. Co-authored-by: Cursor <cursoragent@cursor.com> * 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: resolve batch response file IDs even when status unchanged The status-unchanged early return in update_batch_in_database was skipping ensure_batch_response_managed_file_ids, leaving raw provider input_file_id (and other raw IDs) in the user-facing response when polling an in-progress batch. Move the in-place file ID normalization above the early return so the response always carries unified managed IDs while still skipping the DB write when nothing changed. Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(batches): cover ensure_batch_response_managed_file_ids branches Add tests for the previously-uncovered paths in ensure_batch_response_managed_file_ids: error_file_id normalization, swallowed conversion errors, UserAPIKeyAuth fallback from db_batch_object, model_name resolution from unified_file_id, and early returns when managed_files_obj, model_id, or auth context are missing. --------- Co-authored-by: Cursor <cursoragent@cursor.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> Co-authored-by: Claude <noreply@anthropic.com> * fix(router): use forwarded model_id for native Azure container IDs (#27921) * fix(router): use forwarded model_id for native Azure container IDs in _init_containers_api_endpoints Azure code-interpreter containers return provider-native IDs (cntr_ + hex) that carry no LiteLLM routing payload, so _decode_container_id returns model_id=None. The router was falling through to call the handler directly, bypassing _ageneric_api_call_with_fallbacks and leaving api_base=None for Azure deployments. Fall back to the model_id forwarded from the proxy ownership check so deployment credentials are always applied. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure-containers): strip /openai/responses path from api_base in AzureContainerConfig.get_complete_url When a deployment's api_base is the responses endpoint URL (e.g. .../openai/responses?api-version=...), AzureContainerConfig was appending /openai/containers on top of it, producing the broken path .../openai/responses/openai/containers. Azure returns 404 for that URL while the correct path is .../openai/containers. Strip any /openai/responses suffix from api_base before constructing the containers URL so the resource root is always used as the starting point. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure-containers): prefer api-version from api_base URL over deployment's api_version The deployment's api_version (e.g. 2024-08-01-preview) targets the chat/responses API and is too old for the containers API, which requires 2025-04-01-preview. The responses endpoint api_base already carries the correct api-version in its query string. Extract it and use it for the containers URL, overriding the stale deployment-level version. Fixes DELETE and file-upload operations returning 404 due to wrong api-version. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(containers): pass params=None instead of params={} to httpx to preserve api-version httpx erases a URL's query-string when params={} (empty dict) is passed, silently stripping ?api-version=2025-04-01-preview from every container POST/DELETE request. Azure's GET endpoints tolerate a missing api-version; POST (upload) and DELETE are strict, so those returned 404. Fix: use `params or None` in container_handler._async_handle and llm_http_handler.async_container_delete_handler (and all sibling container handlers) so that an empty params dict falls back to None, leaving httpx to preserve the URL's existing query string intact. Adds a regression test that directly documents the httpx behaviour. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(router): remove elif model_id branch from _init_containers_api_endpoints Two reviewer findings addressed: 1. Truncated comment on the model_id fallback line — now complete. 2. Security: the elif branch that fired when container_id was absent allowed any authenticated caller to supply model_id in a POST /v1/containers body and route the request through an arbitrary deployment UUID, bypassing the model-level access checks that only validate `model`. Removed the elif branch; operations without container_id (create, list) route by the caller-supplied `model` field as before. model_id forwarding is kept only inside the container_id block, where the proxy ownership check has already validated the container before forwarding the deployment ID. Adds a regression test pinning the security boundary: no-container-id path calls original_function directly even when model_id is in kwargs. Co-authored-by: Cursor <cursoragent@cursor.com> * test(containers): validate proxy-to-router model_id forwarding for managed IDs Add test_regression_get_container_forwarding_params_sets_model_id_for_managed_id to verify that get_container_forwarding_params (the proxy-side half of the Azure routing fix) correctly extracts and forwards model_id from a LiteLLM-managed encoded container ID. This closes the gap identified by Greptile P1: the previous regression test only injected model_id as a direct kwarg, validating the router in isolation. The new test exercises the actual proxy-to-router data flow through ownership.get_container_forwarding_params, confirming that kwargs["model_id"] is populated before _init_containers_api_endpoints is reached. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(azure-containers): tighten endpoint-path strip to endswith match Use path.endswith() instead of path.find() for _AZURE_ENDPOINT_PATHS so the suffix strip only fires when api_base actually ends with one of the endpoint-specific path suffixes. This is the more precise check greptile flagged on the original find()-based implementation. * Fix sync container handler to preserve URL query string Mirror the async path fix: pass None instead of an empty params dict so httpx does not strip the URL's existing query string (e.g. ?api-version=...), which is required for Azure container routing. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(azure-containers): strip trailing slash before endpoint suffix match Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(containers): recover model_id from stored encoded id for native Azure container IDs get_container_forwarding_params previously only set model_id when the user-supplied container_id was a LiteLLM-managed encoded id. For native upstream IDs (e.g. Azure 'cntr_<hex>') the decode fails and model_id was never forwarded — making the router-side fallback in _init_containers_api_endpoints unreachable in production. Fall back to the stored 'unified_object_id' on the ownership row, which is the encoded form captured at create time when the router selected a specific deployment. Decoding that yields the deployment model_id and restores router-based credential application (api_base, api_key) for retrieve/delete and container-file operations on native IDs. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Claude <claude@anthropic.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(ui): restore log filter loading indicator (#28282) When a new filter is applied to spend logs, React Query's keepPreviousData left stale rows on screen for 10–15s with no indication that a fetch was in progress. The previous custom isFilteringResults flag was removed in the #25847 toolbar refactor and only partially restored on the Fetch button. Use React Query's isPlaceholderData to discriminate a real filter change (queryKey changed, data not yet arrived) from a same-key live-tail refetch, and feed it into the existing isLoading prop on the toolbar pagination text and the table body. Live-tail polls still keep previous rows without flicker. Co-authored-by: Ryan <ryan@Ryans-MBP.localdomain> * test(e2e): migrate runner to uv, add All Proxy Models key test (#28313) * chore(e2e): migrate runner to uv, add All Proxy Models key test Switches the local e2e runner (run_e2e.sh) from poetry to uv to match the rest of the repo and CI. Adds a Playwright test for creating an admin key with no team selected (all-proxy-models flow), a SLOWMO env hook for headed debugging, and a MIGRATION_TRACKING.md doc that maps the manual UI QA checklist to e2e tests so future migration work has a single source of truth. * chore(e2e): address greptile feedback - Remove MIGRATION_TRACKING.md (docs belong in litellm-docs repo) - playwright.config.ts: fall back to 0 when SLOWMO is non-numeric (parseInt returns NaN, which Playwright accepts silently) - run_e2e.sh: add --frozen to uv sync for CI determinism * feat(ui): team passthrough routes create parity + edit load fix (#28098) * feat(ui): team allowed_passthrough_routes create parity + edit load fix Add the Allowed Pass Through Routes selector to the create-team modal (previously only on the edit form), and fix the edit form silently dropping the field: it lives under team metadata, so initialValues must read info.metadata.allowed_passthrough_routes — otherwise the selector renders empty and saving wipes admin-set routes. Both selectors are gated to premium proxy admins, mirroring the server-side gate. Resolves LIT-3019 * fix(ui): persist team allowed_passthrough_routes edits on save The edit form loaded the selector but the save path never wrote it back: allowed_passthrough_routes stayed in the raw metadata JSON textarea and parsedMetadata (from that textarea) always won, so selector edits were silently discarded. Strip it from the textarea initialValues and overlay values.allowed_passthrough_routes into updateData.metadata, mirroring how guardrails is handled. Resolves LIT-3019 * fix(ui): preserve team passthrough routes for non-proxy-admins on save Only proxy admins may set allowed_passthrough_routes (server-side gate). For non-proxy-admins, write the team's stored value back into metadata instead of the form value, so saving an unrelated setting can't silently wipe routes; omit the key entirely when the team never had any. Resolves LIT-3019 * fix(mcp): JWT on tools/list and REST tools/call server resolution (#28227) * fix(mcp): JWT on tools/list, REST server_id resolution, tool_server_mismatch Sign outbound MCP JWTs for list_mcp_tools and inject headers on the tools/list path. Resolve server_id on /mcp-rest/tools/call and return 403 tool_server_mismatch when the tool does not belong to the requested server. Default missing arguments to {}. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): restrict list JWTs to mcp:tools/list and default REST arguments to {} - List-only JWTs (call_type=list_mcp_tools) no longer carry the broad mcp:tools/call scope. _build_scope() now emits only mcp:tools/list when no tool name is provided, mirroring the existing least-privilege rule that tool-call JWTs omit mcp:tools/list. - REST /tools/call now defaults a missing 'arguments' field to {} so execute_mcp_tool() and downstream *arguments / .keys() calls don't receive None and crash with TypeError/AttributeError. Co-authored-by: Yassin Kortam <yassin@berri.ai> fix(mcp): validate tool/server in call_tool; skip JWT signer when not configured or static auth present Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(mcp): align tests and mypy with user_api_key_auth on tools/list Update mocks for the new _get_tools_from_server parameter, mock server registry in REST access-denied test, and narrow static_headers for mypy. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(test): accept user_api_key_auth in get_tools_from_mcp_servers mock The side_effect for the all-servers case did not accept the new kwarg, so tools/list returned an empty list. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): fail fast for unknown tools when server mapping exists Server-name fallback in call_tool must not open an upstream session when the tool is absent from a populated mapping. Update the HTTP transport test to register a known tool before asserting not-found behavior. Co-authored-by: Cursor <cursoragent@cursor.com> * fix mypy * Fix mypy * fix(mcp): preserve tools/call scope on missing tool name; pass user_api_key_auth in list_tools Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(mcp): match alias/server_name in _resolve_mcp_server_for_tool_call The registry lookup in _resolve_mcp_server_for_tool_call previously only compared candidate.name against the provided server_name, but tool name prefixes can be derived from a server's alias or server_name (see get_server_prefix). When the tool→server mapping is empty/stale (cold start, dynamic tools), the lookup would fail for alias-configured servers even though get_mcp_server_by_name (used by the REST path) matches alias, server_name, and name. Match the same priority of identifiers in both the registry pass and the unprefixed fallback so the MCP protocol call_tool path is consistent with the REST path. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(mcp): reuse proxy_logging DualCache in inject_mcp_jwt_headers_for_upstream Instead of allocating a fresh DualCache() on every tools/list invocation, prefer the shared proxy_logging_obj.internal_usage_cache.dual_cache when available. The cache argument is currently unused by MCPJWTSigner, but sharing the proxy's cache avoids per-call allocation overhead and matches the cache identity used elsewhere in the proxy hook plumbing — so any future per-request state stored in cache will survive across list calls. Co-authored-by: Claude <noreply@anthropic.com> * fix(mcp): return 403 ip_filtering for IP-restricted servers in tools/call name lookup Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(test): accept user_api_key_auth kwarg in list_tools mocks The proxy-infra job was failing on four TestMCPServerManager tests because the mock_get_tools_from_server stubs did not accept the new user_api_key_auth keyword argument that list_tools now forwards to _get_tools_from_server. Add the kwarg to each stub so list_tools can call through cleanly. Co-authored-by: Claude <claude@anthropic.com> * fix(mcp): skip JWT injection when per-user mcp_auth_header is set MCPClient._get_auth_headers() applies extra_headers AFTER writing Authorization from auth_value, so an injected JWT silently overwrites the user's per-server OAuth token. Guard the JWT signer with 'not mcp_auth_header' so per-user OAuth (and any dict-form per-user auth) takes precedence, mirroring the existing static_headers guard. Adds a regression test that the signer's inject helper is not called when mcp_auth_header is supplied. * fix(mcp): skip JWT injection when extra_headers already has Authorization When a server uses per-user OAuth tokens, the resolved token is passed into _get_tools_from_server via extra_headers. The JWT injection guard only checked mcp_auth_header and the server's static headers, so the signer would silently overwrite the user's OAuth Authorization header. Add a check for an existing Authorization entry in extra_headers so caller-supplied per-user OAuth tokens take precedence over JWT signing. Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(mcp): cover JWT signer + tool-call resolution branches Adds unit tests for the new MCPServerManager helpers (_resolve_mcp_server_for_tool_call, _resolve_oauth2_headers_for_tool_call) and the new MCPJWTSigner paths (_build_scope call_type branches and inject_mcp_jwt_headers_for_upstream). Brings patch coverage above the auto target without changing behavior. Co-authored-by: Claude <claude@anthropic.com> * fix(mcp): retry tool-server lookup with prefixed name in REST mismatch check When the REST /mcp-rest/tools/call path sends a raw tool name plus requested_server_id, _get_mcp_server_from_tool_name(name) can return None if the mapping only stores the prefixed form. That bypassed the tool_server_mismatch 403 guard and let the call fall through to trusting requested_server. Retry the lookup with every known prefix of the requested server so the mismatch check fires whenever the tool is actually registered. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(mcp): always reject unknown tools in server-name fallback Defense-in-depth: _resolve_mcp_server_for_tool_call previously skipped the unknown-tool check whenever the per-server mapping had no entries yet (cold start, OAuth2 lazy listing, or upstream listing failure), allowing arbitrary tool names to reach upstream servers. Tighten the check so the server-name fallback always rejects tool names not present in the mapping. Callers must call list_tools first (standard MCP flow) before tools/call can resolve. Removes the now-unused _mapping_has_tools_for_server helper and adds an explicit empty-mapping rejection test alongside the existing populated-mapping rejection test. Co-authored-by: Sameer Kankute <sameer@berri.ai> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: Claude <claude@anthropic.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Claude (greptile subagent) <claude-greptile-bot@anthropic.com> * feat(interactions): migrate to Google Interactions API steps schema (May 2026) (#28153) * feat(interactions): migrate to Google Interactions API steps schema (May 2026) Default to Api-Revision: 2026-05-20 (new `steps` schema). Add `litellm.use_legacy_interactions_schema` global flag that sends Api-Revision: 2026-05-07 for operators who need the legacy `outputs` schema until June 8, 2026. - Inject Api-Revision header in GoogleAIStudioInteractionsConfig.validate_environment() - Auto-coalesce response_mime_type → response_format and image_config migration on new schema - Add steps field to InteractionsAPIResponse and InteractionsAPIStreamingResponse - Add StepStart/StepDelta/StepStop/InteractionCreated/etc. SSE event types - Update streaming completion detection to handle interaction.completed event - Bridge transformer populates both outputs and steps fields - Bridge streaming iterator emits new-schema events by default Co-authored-by: Cursor <cursoragent@cursor.com> * fix(interactions): address greptile review feedback - Avoid mutating caller's generation_config dict by shallow-copying before popping image_config, preventing silent failures on retries - Skip schema key in response_format when response_format is None to avoid sending schema: null to the Google Interactions API - Remove delta field from step.stop events (new schema only); the StepStop model has no delta field and sending it duplicates already- streamed text and breaks spec-conformant clients Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): parse use_legacy_interactions_schema string values safely bool("false") returns True in Python, so quoted YAML values like "false" or "False" silently activated the legacy Interactions API schema. Match the env-var parsing pattern in litellm/__init__.py by treating string inputs as true only when they equal "true" (case insensitive). Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(interactions): only set object/id/delta on step.stop for legacy schema StepStop (new schema) has no object, id, or delta fields. Setting them unconditionally caused spec-breaking extra fields on new-schema step.stop events in all four construction sites (sync/async × main-loop/StopIteration). Legacy content.stop still receives id, object, and delta unchanged. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(interactions): stabilize streaming bridge schema, dict aliasing, and lost first delta - Capture use_legacy_interactions_schema once at iterator construction so all events emitted by a single stream use a consistent schema, even if the global flag is mutated mid-stream. - Check for the buffered interaction.complete/completed event before the finished check in __next__/__anext__ so the final completion event (which carries the full collected text in steps) is not dropped after self.finished is set. - Copy text content entries before appending to both outputs and the steps content list to avoid shared mutable dict aliasing between the two response fields. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix tests * fix greptile review * fix(interactions): address Greptile P1 review on schema coalescing and legacy deltas Skip response_mime_type merge when response_format is already a list, avoid in-place list mutation on image_config append, and restore delta.type on legacy content.delta events. Co-authored-by: Cursor <cursoragent@cursor.com> * style(interactions): black-format gemini transformation.py Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: Claude <noreply@anthropic.com> * test(ui-e2e): admin key creation with a specific proxy model (#28365) * test(ui-e2e): add admin key creation with a specific proxy model Adds Playwright coverage for creating a key (no team) scoped to a single proxy model, complementing the existing All-Proxy-Models test. Uses a DOM-dispatched click on the antd dropdown option since the popup animation can render the option outside the viewport. * test(ui-e2e): verify scoped key works against mock /chat/completions Extend the "Create a key with a specific proxy model" test to extract the new key from the success modal and POST to /chat/completions for the scoped model, asserting 200 and the mock response body. Without this the test could pass even if the model selection failed to register. * fix(vertex_ai): omit function_call id on Vertex Gemini 3.5+ tool turns (#28324) * fix(vertex_ai): omit function_call id on Vertex Gemini 3.5+ tool turns Vertex AI rejects `id` on function_call/function_response parts; only Google AI Studio accepts it for Gemini 3.5+ strict tool matching. Co-authored-by: Cursor <cursoragent@cursor.com> * Update litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(vertex_ai): forward custom_llm_provider in context caching Pass custom_llm_provider through to _gemini_convert_messages_with_history in the context caching path so Gemini 3.5+ tool-call `id` forwarding behaves consistently between cached and non-cached completions on Google AI Studio. Co-authored-by: Claude <claude@anthropic.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Claude <claude@anthropic.com> * feat(mcp): allow native MCP OAuth support for cursor (#28327) * feat(mcp): allow native MCP OAuth redirect URIs (cursor://) Discoverable OAuth /authorize rejected cursor:// callbacks because validate_trusted_redirect_uri only accepted http/https. Add an allowlisted native path with a built-in Cursor default and optional MCP_TRUSTED_NATIVE_REDIRECT_URIS env for other clients. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): address Greptile native redirect URI review Lowercase paths in normalizer so env allowlist entries match case- insensitively. Tighten wildcard prefix matching to reject sibling paths (e.g. callback-2) unless the prefix ends with /. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): reject query params on native OAuth redirect URIs Greptile: normalization stripped query strings before allowlist compare, so cursor://.../callback?injected=... could pass validation. Reject any native redirect_uri with a query component (same as fragments). Co-authored-by: Cursor <cursoragent@cursor.com> * fix(model_cost_map): add mistral/ministral-8b-2512 entry Mistral rotated the 'mistral/mistral-tiny' alias to return 'ministral-8b-2512' as the response model, which is not in the cost map. This caused test_completion_mistral_api and test_completion_mistral_api_modified_input to fail in completion_cost lookup. Add the entry mirroring the existing openrouter/mistralai/ministral-8b-2512 pricing. * fix(mcp): lowercase default native redirect URIs Make _parse_trusted_native_redirect_uris apply the same lowercasing to built-in defaults as it does to env-var entries. * fix(tests): backfill local model_cost into remote-fetched map litellm.model_cost is loaded at import time from the URL pinned to main, so pricing entries that exist only in this branch (e.g. mistral/ministral-8b-2512, freshly added because Mistral now returns this id from mistral-tiny) are absent at test time and completion_cost lookups raise. Backfill the in-tree backup so cassette-driven cost calculations resolve against the entries that ship with the branch under test. Fixes the local_testing_part1 failures on test_completion_mistral_api and test_completion_mistral_api_modified_input. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Claude <claude@anthropic.com> * fix(interactions): never drop streamed text deltas; always emit terminal completion (#28394) * fix(interactions): never drop streamed text deltas; always emit terminal completion The interactions streaming bridge had two bugs flagged by Greptile on PR #28153: 1. The first OutputTextDeltaEvent (and the second, when no ResponseCreatedEvent precedes the deltas) was consumed to emit a synthetic interaction.created / step.start event, but the chunk's text payload was never forwarded as a step.delta. The text only reappeared in the terminal step.stop, which defeats the purpose of incremental streaming. 2. When the upstream Responses API stream ended via StopIteration without a ResponseCompletedEvent, the iterator emitted step.stop but never the terminal interaction.completed event carrying the full collected text. This refactors the iterator to translate each upstream chunk into a list of events (instead of a single event) and buffers them in a deque. A text delta now expands into [interaction.created, step.start, step.delta] on the first chunk so no token is dropped, and the StopIteration / StopAsyncIteration fallback always flushes a terminal interaction.completed event when one hasn't already been sent. Both behaviors are covered by new unit tests: - test_no_text_token_is_dropped_during_streaming - test_response_created_then_text_delta_emits_step_start_and_delta - test_stop_iteration_fallback_emits_completion_event - test_response_completed_emits_stop_then_completion (no double-emit) Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(interactions): correlate EOF terminal events with stream's interaction id The StopIteration fallback path previously built the terminal step.stop / interaction.completed events with id=None (legacy content.stop) and a memory-address fallback string (interaction.completed), neither of which matched the item_id used by the earlier interaction.created / step.start / step.delta events in the same stream. Downstream consumers correlating events by id would see a mismatch. Persist the interaction id derived from the first upstream chunk (item_id on an OutputTextDeltaEvent, or response.id on a ResponseCreatedEvent) and reuse it when flushing the terminal events on EOF. Author: mateo-berri <277851410+mateo-berri@users.noreply.github.com> * ci(windows): raise UV_HTTP_TIMEOUT to 300s for uv sync The using_litellm_on_windows job has been hitting flaky PyPI download timeouts during 'uv sync --frozen --group dev' — different packages on each rerun (six, pydantic-core), all surfacing the same uv error: Failed to download distribution due to network timeout. Try increasing UV_HTTP_TIMEOUT (current value: 30s). uv's default 30s per-request timeout is too tight for the Windows runner on this project (50+ deps, several multi-MB wheels), so bump it to 300s to let slow individual downloads complete instead of failing the build. * fix(interactions): correlate ResponseCompletedEvent terminal events with stream's interaction id When a stream starts directly with OutputTextDeltaEvent (no preceding ResponseCreatedEvent), interaction.created carries item_id while interaction.completed previously carried response.id from ResponseCompletedEvent. The two ids can differ, leaving consumers that correlate events by id unable to match the start and completion events. Fall back to self._interaction_id (set on the first chunk that derives an id) before response.id, mirroring the EOF terminal path. --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> * fix(proxy): expose Prisma idle/connect timeout + extra DB URL params (#28395) * fix(proxy): expose Prisma idle/connect timeout + extra DB URL params Operators have reported large numbers of idle Prisma connections that never get closed. The proxy already forwards `connection_limit` and `pool_timeout` to the DATABASE_URL, but had no knob for capping idle or slow connections. Add three new `general_settings` keys that thread through to the DATABASE_URL / DIRECT_URL query string: - `database_connect_timeout` -> Prisma `connect_timeout` - `database_socket_timeout` -> Prisma `socket_timeout` (the main knob for closing idle connections from the LiteLLM side) - `database_extra_connection_params` -> untyped passthrough dict for any other Prisma URL param (`pgbouncer`, `statement_cache_size`, `sslmode`, ...); keys here override LiteLLM defaults. Refactors the duplicated DATABASE_URL/DIRECT_URL param dicts into a single `_build_db_connection_url_params` helper. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * Update litellm/proxy/proxy_cli.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --------- Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * 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 c… * fix(anthropic_messages): forward named params into MessagesInterceptor.handle (#27810) When ``anthropic_messages`` dispatches to a registered ``MessagesInterceptor`` (e.g. ``AdvisorOrchestrationHandler``), it currently splats only ``kwargs`` plus a handful of explicit positional/named args. Top-level parameters bound as named arguments on ``anthropic_messages`` — ``thinking``, ``metadata``, ``stop_sequences``, ``system``, ``temperature``, ``tool_choice``, ``top_k``, ``top_p`` — are silently dropped, because they live in local variables, not in ``kwargs``. This loses request fields on every interceptor sub-call. The most visible breakage: ``thinking={"type": "adaptive"}`` sent by clients (Claude Code, Anthropic SDK callers, etc.) is dropped on the executor sub-call, so downstream providers whose validation depends on ``thinking`` reject the request. Concretely, Vertex AI returns: invalid_request_error: ``clear_thinking_20251015`` strategy requires ``thinking`` to be enabled or adaptive even though the caller correctly sent ``thinking: {type: adaptive}``. Fix --- 1. Extend the existing ``request_kwargs.pop()`` extraction (already used for ``tools`` and ``stream``) to cover all named params we forward to the interceptor. This honors pre-request hook overrides for any of those fields and prevents duplicate-keyword conflicts when ``kwargs`` is splatted into ``interceptor.handle(...)``. 2. Forward every named parameter explicitly into ``interceptor.handle``, so the advisor (and any future interceptor) preserves the full request shape on its internal sub-calls. Tests ----- - ``test_named_params_forwarded_into_advisor_executor_subcall`` — drives the full ``anthropic_messages`` -> interceptor -> executor path and asserts all 8 named params arrive in the executor sub-call. Verified to fail on master (None vs caller-supplied values) and pass with this fix. - ``test_pre_request_hook_override_does_not_collide_with_explicit_kwargs`` — simulates a ``CustomLogger.async_pre_request_hook`` returning ``thinking``, ``system``, ``temperature``. Without the new pops, the explicit-kwarg forwarding raises ``TypeError: got multiple values for keyword argument``. This test locks in the pop extraction. All 5 tests in ``test_advisor_integration.py`` pass. * fix(guardrails): re-emit chunks in tool_permission streaming hook when no tool_calls found (#26585) * fix(guardrails): re-emit chunks in tool_permission streaming hook when no tool_calls found async_post_call_streaming_iterator_hook is an async generator. The `if not tool_calls:` branch (plain-text LLM replies) did a bare `return`, which terminates the generator without yielding anything. Clients received only `data: [DONE]` with empty content — the entire response was silently dropped. Fix: pass the assembled ModelResponse through MockResponseIterator and yield every chunk before returning, mirroring the allowed-tool code path that already exists a few lines below. Closes #26547 Re-submits after #26551 (auto-closed when litellm_oss_branch was deleted) * test(guardrails): strengthen plain-text streaming assertion to verify content fidelity Previously the regression test only checked that at least one chunk was yielded; now it also asserts that the chunk content matches the original assembled response, ensuring the fix preserves response data end-to-end. * Add dedicated xai_key and fallback logic for xAI API key (#28647) Add a provider-specific litellm.xai_key fallback for xAI chat, responses, and realtime requests. Keep the Responses API and realtime fallback order compatible by preserving litellm.api_key before XAI_API_KEY when no explicit provider-specific key is set. * fix(proxy): don't enforce budgets on model-discovery / info routes (#27923) (#29483) * fix(proxy): don't enforce budgets on model-discovery / info routes (#27923) * fix(proxy): narrow model-discovery budget bypass to explicit route set (#27923) * feat(search): add APISerpent (apiserpent.com) as search provider (#29448) * feat(search): add APISerpent (apiserpent.com) as search provider APISerpent is a multi-engine SERP API covering Google, Bing, Yahoo, and DuckDuckGo. It exposes two endpoints, quick search (/api/search/quick) and deep search (/api/search), both billed at $0.60 per 1k searches. Both are surfaced under a single `apiserpent` provider; callers select the deep endpoint with `deep=True`, following the way Linkup and Tavily ship two search setups under one provider. All supported parameters and their defaults live in a single APISerpentSearchParams dataclass, which enforces the documented bounds (num 1 to 100, pages 1 to 10) and types the constrained string params (engine, safe, freshness, format) as Literals. * address review: null results, idempotent api_base, test coverage Greptile fixes: coerce a null `results` payload to an empty list so error responses don't raise (P1); always apply the quick/deep path suffix so an api_base / APISERPENT_API_BASE host override still routes correctly, using an endswith guard to stay idempotent across the handler's double call into get_complete_url (P2); document why the deep-search num floor isn't enforced in the dataclass (P2). Move the test suite from tests/search_tests to tests/test_litellm/llms/apiserpent so the unit-test/coverage job (`pytest tests/test_litellm`) actually exercises it; the package now reports 100% patch coverage. Adds regression tests for the null-results and api_base-routing fixes. * register apiserpent in provider_endpoints_support.json The check_provider_folders_documented CI gate requires every litellm/llms folder to have an entry; add apiserpent with a search endpoint, mirroring the serper and tavily entries. * fix(github_copilot): handle missing choices in response for newer models (max_tokens=1 crash) (#29392) * fix(github_copilot): handle missing choices in response for newer models Newer Copilot backend models (claude-opus-4.7, 4.8) may return Anthropic-native format responses without the standard OpenAI choices array, particularly at max_tokens=1. This caused an unhandled IndexError. Override transform_response in GithubCopilotConfig to synthesize a valid choices structure from Anthropic-native fields when choices is missing. Fixes #29391 * fix black formatting * guard against missing choices in shared converter; delegate to super in provider override Three changes: 1. convert_dict_to_response.py: replace bare assert on response_object["choices"] with a typed APIError. Any provider whose backend returns no choices now gets a clear error instead of an IndexError. 2. transformation.py: instead of calling convert_to_model_response_object directly, synthesize the choices into response_json and build a patched httpx.Response, then delegate to super().transform_response(). This keeps us on the parent's post_call/header/logging path. 3. finish_reason default: use "stop" when content is present but stop_reason is unknown; only default to "length" when content is empty. * guard streaming response converters against missing choices Same defense-in-depth as the non-streaming path: raise a typed APIError instead of KeyError/empty iteration when choices is missing. * add unit tests for missing-choices guard in convert_dict_to_response Regression tests ensuring APIError is raised (not IndexError) when a provider returns a response without choices. Covers non-streaming, streaming cache-hit, and async streaming paths. * fix broken streaming tests: consume generators to actually exercise guards The stream=True test never consumed the returned generator, so the guard code never executed and pytest.raises saw no exception. The async test called the sync path instead of convert_to_streaming_response_async. Split into two tests that properly exercise both paths. * add unit tests for convert_dict_to_response and copilot transform_response Coverage for convert_dict_to_response.py: - _normalize_images_for_message (None, empty, adds index, preserves index) - _safe_convert_created_field (None, int, float, string, invalid string) - convert_to_streaming_response (None, happy path, finish_details fallback) - convert_to_streaming_response_async (None, happy path, tool_calls) - _handle_invalid_parallel_tool_calls (None, normal, multi_tool_use expansion, bad JSON) - _should_convert_tool_call_to_json_mode (all branches) - convert_tool_call_to_json_mode (converts, no-op) - convert_to_model_response_object embedding/transcription/rerank paths - completion path: tool_calls finish_reason override, multiple choices, json mode, reasoning_content, None inputs Coverage for github_copilot transformation.py line 197-198: - test_transform_response_invalid_json_falls_through_to_super --------- Co-authored-by: Rudy-Macmini <rudy-macmini@192.168.1.173> Co-authored-by: Rudy-Macmini <rudy-macmini@Rudy-Macminis-Mac-mini.local> * feat(proxy): add model_group filter to /spend/logs/v2 endpoint (#29405) Add an optional `model_group` query parameter to the `/spend/logs/v2` and `/spend/logs/ui` endpoints, allowing users to filter spend logs by model group. This is consistent with the existing `model` and `model_id` filters and requires no schema changes since `model_group` is already a column in the `LiteLLM_SpendLogs` table. Supersedes #24782 (rebased onto latest main). * fix(github_copilot): extract tool_calls from Anthropic-native Copilot responses Reuse AnthropicConfig.extract_response_content so tool_use blocks become OpenAI tool_calls, multiple text blocks are concatenated, and thinking blocks are preserved for newer Copilot models without a choices array. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(convert_dict_to_response): propagate missing-choices APIError; fix transcription token-usage test The defense-in-depth guard for missing 'choices' raised APIError inside the broad try/except in convert_to_model_response_object, which re-wrapped it as a generic Exception('Invalid response object ...'). Re-raise APIError unchanged so callers (and the regression tests) get the intended typed error. Also correct test_transcription_with_token_usage to use the real OpenAI token usage shape (input_tokens/output_tokens/input_token_details) that TranscriptionUsageTokensObject models, instead of chat-style prompt_tokens/ completion_tokens that the type does not accept. * test(convert_dict_to_response): exercise received_args debug path with malformed choice The missing-choices guard now raises a typed APIError for choices=None, so the old input no longer reaches the generic debugging handler. Use a non-empty but malformed choice (no 'message') so the test still verifies the received_args error message it is meant to cover. * fix(embedding): respect drop_params for unsupported dimensions parameter (#26868) --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: lengkejun <lengkejun@xd.com> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: Yassin Kortam <yassinkortam@g.ucla.edu> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com> Co-authored-by: milan-berri <milan@berri.ai> Co-authored-by: Claude <claude@anthropic.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Ryan <ryan@Ryans-MBP.localdomain> Co-authored-by: Claude (greptile subagent) <claude-greptile-bot@anthropic.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: TorvaldUtne <78661304+TorvaldUtne@users.noreply.github.com> Co-authored-by: oss-agent-shin <ext-agent-shin@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: boarder7395 <37314943+boarder7395@users.noreply.github.com> Co-authored-by: stuxf <70670632+stuxf@users.noreply.github.com> Co-authored-by: Dibyo Mukherjee <dibyo@adobe.com> Co-authored-by: Kevin Zhao <zkm8093@gmail.com> Co-authored-by: Matthew Lapointe <lapointe683@gmail.com> Co-authored-by: Elon Azoulay <elon.azoulay@gmail.com> Co-authored-by: Krrish Dholakia <krrish+github@berri.ai> Co-authored-by: afoninsky <andrey.afoninsky@gmail.com> Co-authored-by: Tai An <antai12232931@outlook.com> Co-authored-by: Joseph Barker <156112794+seph-barker@users.noreply.github.com> Co-authored-by: Maruti Agarwal <88403147+marutilai@users.noreply.github.com> Co-authored-by: Cursor Bugbot <bugbot@cursor.com> Co-authored-by: Greptile <greptile-apps[bot]@users.noreply.github.com> Co-authored-by: Greptile Reviewer <greptile-apps@users.noreply.github.com> Co-authored-by: Dennis Henry <dennis.henry@okta.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: harish-berri <harish@berri.ai> Co-authored-by: Felipe Garé <90070734+FelipeRodriguesGare@users.noreply.github.com> Co-authored-by: withomasmicrosoft <withomas@microsoft.com> Co-authored-by: Aditya Singh <60082699+adityasingh2400@users.noreply.github.com> Co-authored-by: LiteLLM Bot <bot@berri.ai> Co-authored-by: Kenan Yildirim <kenan@kenany.me> Co-authored-by: vladpolevoi <vladp@lasso.security> Co-authored-by: veria-ai[bot] <224490171+veria-ai[bot]@users.noreply.github.com> Co-authored-by: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Co-authored-by: Ishaan Jaffer <ishaanjaffer0324@gmail.com> Co-authored-by: João Costa <13508071+jpv-costa@users.noreply.github.com> Co-authored-by: Michael-RZ-Berri <michael@berri.ai> Co-authored-by: Shivam Rawat <shivam@berri.ai> 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: 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 Riad Zaky <michaelr@Mac.localdomain> Co-authored-by: Noah Nistler <60981020+noahnistler@users.noreply.github.com> Co-authored-by: Felipe Rodrigues Gare Carnielli <felipe.gare@hotmail.com> Co-authored-by: Federico Kamelhar <federico.kamelhar@oracle.com> Co-authored-by: Michael Riad Zaky <michaelr@Michaels-MacBook-Air.local> Co-authored-by: oss-agent-shin <279349115+oss-agent-shin@users.noreply.github.com> Co-authored-by: ishaan-berri <ishaan-berri@users.noreply.github.com> Co-authored-by: Krrish Dholakia <krrishdholakia@berri.ai> Co-authored-by: ryan-crabbe-berri <ryan-crabbe-berri@users.noreply.github.com> Co-authored-by: Mateo <mateo@Mateos-MacBook-Pro.local> Co-authored-by: Yassin Kortam <yassinkortam@Yassins-MacBook-Pro.local> Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: rinto <54238243+ririnto@users.noreply.github.com> Co-authored-by: Shin <shin@litellm.ai> Co-authored-by: michelligabriele <gabriele.michelli@icloud.com> Co-authored-by: Yassin Kortam <yassinkortam@Yassins-MBP.localdomain> Co-authored-by: mateo-berri <mateo@berri.ai> Co-authored-by: Alex Yaroslavsky <trexinc@gmail.com> Co-authored-by: Graham Neubig <neubig@gmail.com> Co-authored-by: Graham Neubig <398875+neubig@users.noreply.github.com> Co-authored-by: openhands <openhands@all-hands.dev> Co-authored-by: Piotr Placzko <piotr@icep-design.com> Co-authored-by: Iana <iana@Shivakumars-MacBook-Pro.local> Co-authored-by: Samarth Maganahalli <samarth.maganahalli@gmail.com> Co-authored-by: Someswar <130047865+someswar177@users.noreply.github.com> Co-authored-by: Peter Dave Hello <3691490+PeterDaveHello@users.noreply.github.com> Co-authored-by: Armaan Sandhu <74664101+Ar-maan05@users.noreply.github.com> Co-authored-by: Daniel Yudelevich <4537920+yudelevi@users.noreply.github.com> Co-authored-by: rudy renjie meng <36201915+BeginnerRudy@users.noreply.github.com> Co-authored-by: Rudy-Macmini <rudy-macmini@192.168.1.173> Co-authored-by: Rudy-Macmini <rudy-macmini@Rudy-Macminis-Mac-mini.local> Co-authored-by: kejunleng <33445544+silencedoctor@users.noreply.github.com> Co-authored-by: Tim Ren <137012659+xr843@users.noreply.github.com>	2026-06-02 08:48:10 -07:00
Mateo Wang	d76950dfb6	fix(docs): remove fixed dimensions from README hero image (#29496 ) The hero image had explicit width="2688" height="1600" attributes that caused the image to appear stretched on PyPI and other platforms where the container width is narrower than 2688px. Without these fixed dimensions, the image will scale responsively while maintaining its aspect ratio. https://claude.ai/code/session_019keR6iXdSkwS3hdBC4CkaE	2026-06-02 06:42:38 -07:00
Sameer Kankute	dba1f2d3f2	fix(azure_ai): strip tool-level extra fields on 400 and retry (#29479 ) * fix(azure_ai): strip tool-level extra fields (e.g. copilot_mcp_server_name) before retrying * fix(azure_ai): move re import to top-level; fix regex to handle hyphenated field names	2026-06-02 06:21:25 -07:00
Sameer Kankute	c8bcfbb20c	feat(a2a): watsonx Orchestrate agent provider (#29410 ) * feat(a2a): add watsonx Orchestrate agent provider Bridge A2A message/send to WXO runs API (CP4D and IBM Cloud IAM auth), with dashboard agent type metadata and unit tests for transformations. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(a2a): use shared httpx client and cache WXO auth tokens Route WXO streaming through get_async_httpx_client (TLS verification enabled). Cache bearer tokens with TTL buffer. Extract A2A reply text via a dedicated helper instead of hard-coded JSON paths. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(a2a): treat CP4D token expiration as absolute Unix time CP4D /authorize returns expiration as epoch seconds, not TTL. Compute remaining lifetime against wall clock so cached tokens refresh before expiry. Co-authored-by: Cursor <cursoragent@cursor.com> * style(a2a): black-format watsonx orchestrate handler for CI py312 Co-authored-by: Cursor <cursoragent@cursor.com> * Fix watsonx orchestrate edge cases * Fix WXO streaming fallback error handling * Fix watsonx orchestrate run completion handling * fix(a2a): make WXO username optional in agent create UI Username is only required for cp4d auth; ibm_cloud uses api_key alone. Backend still validates username when auth_mode is cp4d. Co-authored-by: Cursor <cursoragent@cursor.com> * test(a2a): align WXO dashboard field test with optional username Username is not required in agent_create_fields.json; backend validates for cp4d auth_mode only. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(a2a): send Accept header on WXO streaming run request * fix(a2a/wxo): scope streaming transport fallback to initial POST only Narrow the httpx.TransportError fallback in handle_streaming so it only covers the initial POST /runs/stream. Errors during polling or SSE consumption now propagate instead of triggering handle_non_streaming, which would have submitted a duplicate WXO run for the same request. * refactor(a2a/wxo): type run-param extraction and use text response_type Return a typed WXORequestParams NamedTuple from _extract_litellm_params instead of a positional tuple so call sites read params by name, and send the user message with response_type 'text' so the run body is valid across all WXO agent configurations rather than the search-specific type. * fix(a2a/wxo): evict expired token cache entries and raise asyncio.TimeoutError on poll timeout --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-06-02 18:41:10 +05:30
Mateo Wang	f48a87ef12	fix(ci): normalize whitespace before classname-to-path awk on test rerun (#29475 )	2026-06-01 22:39:13 -07:00
Sameer Kankute	5fd27141cf	Litellm OSS Staging 010626 (#29422 )	2026-06-01 21:42:51 -07:00
Sameer Kankute	b7bbddbd4d	fix(mcp): clear allowed_tools and tool overrides on MCP server edit (#29411 ) * fix(mcp): clear allowed_tools and tool overrides on MCP server edit Send empty arrays/objects from the dashboard instead of null, coerce legacy null payloads before Prisma, and stop auto-selecting all tools when the stored allowlist is empty. Co-authored-by: Cursor <cursoragent@cursor.com> * style(mcp): simplify CRUD panel value ternary per review Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): enforce empty tool allowlist when cleared in dashboard Set mcp_info.tool_allowlist_enforced on UI save so [] blocks all tools while legacy servers with default [] remain unrestricted. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix legacy MCP tool allowlist edit state * test(mcp): pin allowlist fields on mock server in tools test MagicMock auto-attributes are truthy and trigger server_applies_tool_allowlist after the empty-allowlist enforcement change. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): avoid locking legacy servers on quick edit save Only set tool_allowlist_enforced when already enforced or the user selected tools; skip allowlist fields on save for unrestricted servers; do not auto-select all tools when editing legacy servers before load. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): type mcp_info base for allowlist flag read Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): use MCPInfo type for tool_allowlist_enforced in edit save Co-authored-by: Cursor <cursoragent@cursor.com> * Update ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx Co-authored-by: veria-ai[bot] <224490171+veria-ai[bot]@users.noreply.github.com> * Remove unused MCP allowlist variable * Fix MCP legacy tool state display * Fix legacy MCP tool allowlist saves * fix(mcp): enforce allowlist when create flow deselects all tools Track explicit allowlist interaction in the create form so deselecting every tool persists tool_allowlist_enforced=true. Previously an empty selection sent the flag as false with allowed_tools=[], which the proxy treats as allow-all, contradicting the UI's 0 tools enabled state. This mirrors the existing edit-flow handling. * fix(mcp): enforce disallowed_tools on REST listing and keep restored tool selection on legacy edit --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: veria-ai[bot] <224490171+veria-ai[bot]@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-06-01 21:28:29 -07:00
Sameer Kankute	e8fcb01215	Litellm OSS Staging (#29161 ) * Cato Networks guardrail, based on Aim (#26597) * Aim was acquired by Cato Networks, creating Cato Networks guardrail based on Aim * Add more tests * Move test so they are reached by codecov coverage * base URL trailing slashes * Support Lemonade runtime context metadata (#28135) * Support Lemonade runtime context metadata * Add provider hook for runtime model metadata * Address provider model info review feedback Keep the runtime model info hook duck-typed instead of extending the base model-info class, and avoid importing ModelInfoBase from Ollama common utilities to reduce CodeQL cyclic-import noise. Co-authored-by: openhands <openhands@all-hands.dev> * Fix CI after staging rebase Relax the Ollama runtime metadata return annotation to match the provider-hook dict response and update the Google Interactions OpenAPI status expectation for the current live spec. Co-authored-by: openhands <openhands@all-hands.dev> * Normalize Lemonade runtime model metadata * Avoid leaking Ollama metadata auth * Avoid leaking Lemonade metadata auth --------- Co-authored-by: Graham Neubig <398875+neubig@users.noreply.github.com> Co-authored-by: openhands <openhands@all-hands.dev> * fix(cato): address guardrail review feedback Use proxy-authenticated user identity, forward moderation hook return values, and ensure streaming sender tasks are cancelled and awaited on exit. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(vertex_ai): route google/gemma--maas through partner-models OpenAI path - clone of #28010 (#28846) fix(vertex_ai): route google/gemma--maas through partner-models OpenAI path Fixes #26083 vertex_ai/google/gemma-4-26b-a4b-it-maas previously fell through to the NON_GEMINI route. Per owtaylor's plan on #26083: add the google/gemma- prefix to PartnerModelPrefixes so is_vertex_partner_model picks it up and should_use_openai_handler routes it to the OpenAI-compatible /endpoints/openapi/chat/completions URL. No gemma-detection exclusion needed (the "gemma/" check uses a slash, which google/gemma-... doesn't match). No OpenAIGPTConfig subclass needed — works with the base handler. fix(vertex_ai): mark gemma-4-26b-a4b-it-maas as vision-capable (empirically verified) * fix(vertex_ai): address greptile feedback — provider category, canonical URL, sync backup * test(vertex_ai): add function-calling and vision pass-through tests for Gemma MaaS Addresses oss-pr-review-agent-shin feedback on PR #28010: supports_function_calling, supports_tool_choice, and supports_vision were marked true but had no tests proving the payloads actually reached the OpenAI-compatible endpoint. Added: - test_gemma_maas_supports_function_calling — verifies the utility returns True when the model_cost entry carries supports_function_calling=true - test_gemma_maas_supports_vision — same for supports_vision - test_vertex_ai_gemma_function_calling_passthrough — verifies tools + tool_choice appear in the JSON body POSTed to /endpoints/openapi/chat/completions - test_vertex_ai_gemma_vision_passthrough — verifies image_url content parts survive transformation and reach the global endpoint URL * fix: Delete uv.lock * test(vertex_ai): add function-calling and vision pass-through tests for Gemma MaaS Addresses oss-pr-review-agent-shin feedback on PR #28010: P1 (patch target): Added a comment explaining why patching litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler is correct — get_async_httpx_client() (defined in http_handler.py) instantiates AsyncHTTPHandler within that module's scope, so the definition-site patch intercepts it. Without the mock the test raises AuthenticationError, confirming it never silently passes. P2 (partner-provider regression guard): Added test_gemma_routes_through_openai_handler() which calls VertexAIPartnerModels.should_use_openai_handler() directly, so if Gemma's routing to VertexPartnerProvider.llama ever changes the URL-shape tests below it become a real regression guard rather than an unanchored unit test. Also added: - test_gemma_maas_supports_function_calling / supports_vision — capability flag checks via patch.dict(litellm.model_cost) - test_vertex_ai_gemma_function_calling_passthrough — tools + tool_choice forwarded in the request body - test_vertex_ai_gemma_vision_passthrough — image_url part survives transformation to the global endpoint Added: - test_gemma_maas_supports_function_calling — verifies the utility returns True when the model_cost entry carries supports_function_calling=true - test_gemma_maas_supports_vision — same for supports_vision - test_vertex_ai_gemma_function_calling_passthrough — verifies tools + tool_choice appear in the JSON body POSTed to /endpoints/openapi/chat/completions - test_vertex_ai_gemma_vision_passthrough — verifies image_url content parts survive transformation and reach the global endpoint URL * fix: proper patch for unit tests --------- Co-authored-by: Iana <iana@Shivakumars-MacBook-Pro.local> * fix(cato): guardrail all completion choices on output When n > 1, only choices[0] was analyzed and redacted. Iterate every Choices entry so block and anonymize actions apply to all completions. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix review * fix(cato_networks): harden output anonymize handling and restructure nested UI routes Guard against empty redacted_output and empty all_redacted_messages from Cato. Restructure nested admin UI HTML exports to index.html so extensionless routes work. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix mypy * fix(cato): guard missing policy_drill_down and all_redacted_messages keys * fix(cato): avoid KeyError bypassing block action on missing analysis_result * fix(cato): preserve non-text message fields during anonymize Rebuild redacted messages from the original messages, overwriting only content, so tool_calls, tool_call_id, name and multimodal fields survive the anonymize action. * fix(cato): preserve trailing messages when fewer redacted messages returned Avoid silently truncating the conversation in _anonymize_request when Cato returns fewer redacted messages than were sent, and isolate the no-api-key config test from a pre-existing CATO_API_KEY environment variable. * fix(cato,model-info): preserve stream block signal on sender teardown; forward api_key in dynamic model-info lookup Suppress ConnectionClosed (alongside CancelledError) when tearing down the Cato streaming sender task so a backend ConnectionClosed cannot mask the original StreamingCallbackError (e.g. a guardrail block) raised by the receive loop. Thread api_key through get_model_info -> _get_model_info_helper so an explicit key reaches a provider's dynamic get_model_info for a caller-supplied api_base. Previously only api_base was forwarded, so authenticated Ollama and Lemonade servers at a custom base could only be queried unauthenticated. * fix(cato): surface mid-stream forwarding errors instead of blocking on recv If the upstream LLM stream errors mid-flight, the sender task dies before sending the terminal done frame, so the consumer would block on websocket.recv() until Cato closes the connection. Race recv against the sender task and raise the stored sender exception promptly as a StreamingCallbackError. * fix(cato): drop spoofable end_user_id from guardrail user identity Only the key/JWT-bound user_email is a trusted identity. end_user_id is resolved from caller-supplied request fields (OpenAI user param, headers, metadata), so an authenticated caller with no bound user_email could set it to another user's email and have LiteLLM forward x-cato-user-email for that victim, poisoning Cato audit and policy attribution. Forward only user_email and omit the header otherwise. * fix(cato): harden output anonymize path against missing content key * fix(cato): fall back to original message when redacted content key is missing * refactor(model-info): drop unused api_key from cached model-info helper _cached_get_model_info_helper is only called by the cost-tracking hot path, which never authenticates, so the api_key parameter was never populated. Keeping it in the lru_cache key offered no benefit and risked fragmenting the high-RPS cache and retaining credential strings per entry. * fix(cato): preserve None content on tool-call-only choices in output hook * fix(ollama): respect static-model guard in OllamaConfig.get_model_info Delegate to OllamaModelInfo.get_model_info so statically-priced Ollama models short-circuit before the /api/show network call instead of hitting the server unconditionally. * fix(lemonade,ollama): treat empty api_key as unset to avoid leaking server creds An empty-string api_key was treated as an explicit key, so it passed the guard meant to keep server-side credentials off caller-supplied bases and then fell back through the env/global key chain. A caller could point api_base at a server they control and send api_key="" to receive the configured provider key in the Authorization header. Gate the credential fallback on the api_key being truthy instead of merely not-None. * fix(cato): inspect and redact Responses-API input, not just messages The guardrail only read data["messages"], so /v1/responses requests, which carry their text in data["input"], reached Cato as an empty message list and bypassed inspection entirely. Send build_inspection_messages(data) so both shapes are analyzed, and write anonymized results back with apply_redacted_messages_back when the request used input. * perf(utils): keep api_key out of get_model_info lru_cache key * fix(cato): propagate ssl_verify to streaming WebSocket connection The streaming hook applied ssl_verify only to the HTTP handler; the websockets.connect() call used default verification, so a custom Cato instance behind TLS with a self-signed cert worked for non-streaming calls but failed every streaming request. Resolve the ssl_verify setting into the connect() ssl argument, mirroring the HTTP handler. * refactor(utils): rename shadowing local in _get_model_info_helper * fix(cato): flatten multimodal chat content before inspection Chat Completions requests whose message content is a multimodal parts array were posted to Cato as the raw OpenAI parts, so text inside content: [{"type":"text", ...}] reached the model without Cato ever inspecting the string. Flatten each message's list content to plain text while keeping the list 1:1 with the request so the index-based redaction write-back stays valid; Responses-API input requests still go through build_inspection_messages. * test(lemonade): clear get_model_info cache around api_base test * fix(cato): inspect and redact Responses-API input even when messages present _inspection_messages returned early once messages was non-empty, so a /v1/responses caller could place benign text in messages and disallowed text in input and have only messages reach Cato while the model used input. Inspect both fields and write anonymize redactions back to input as well as the index-aligned messages. * test(log_db_metrics): assert table_name event_metadata contract log_db_metrics now emits minimal event_metadata via _safe_db_event_metadata (table_name only, function_name/function_kwargs/function_args dropped as redundant with call_type and unsafe to stamp on a span). The success-path test still asserted function_name membership and crashed with TypeError on the None metadata returned when no table_name is passed. Pass a table_name and assert the surfaced contract instead. * fix(cato): inspect and redact completion prompt and Responses-API instructions The Cato guardrail only inspected chat messages and the Responses-API input field, so blocked text placed in the legacy /v1/completions prompt or the /v1/responses instructions field reached the model without ever being sent to Cato. Both fields are now appended as synthetic inspection messages, and the anonymize path slices Cato's redactions back to the field they came from. * fix(cato): serialize non-str/bytes websocket chunks before forwarding * fix(cato): inspect tool descriptions and tool-call arguments * fix(cato): map redacted output by assistant index; restore get_model_info.cache_info * fix(cato): block output even when detection_message is null/empty A block_action returned by Cato on the output hook whose detection_message was null or empty was let through to the caller: the truthiness guard on detection_message skipped the HTTPException and the unblocked response was returned. Raise the HTTPException directly in _handle_block_action_on_output so the output path blocks unconditionally, mirroring the input path. * fix(cato): inspect and redact nested tool param and legacy function descriptions Tool/function parameter descriptions and the legacy functions[] array are forwarded to the model but were not seen by Cato, so blocked text hidden there bypassed inspection and anonymization. Recursively walk every description string in tools[].function and functions[] schemas for both the analyze payload and the anonymize write-back. * fix(cato): traverse schema descriptions iteratively to satisfy recursive detector The nested walk() generator recursed over tool/function JSON schemas with no depth bound, which the recursive_detector code-quality gate rejects. Replace it with an explicit-stack DFS that yields the same (container, key) refs in the same pre-order, so schema description redaction is unchanged. * fix(cato): inspect and redact response_format JSON schema descriptions response_format json_schema descriptions are forwarded to the model, so blocked text hidden in nested schema descriptions could bypass Cato inspection and redaction. Extend the schema-description walk to cover response_format alongside tools and legacy functions. * fix(cato): skip output rewrite when Cato returns no redaction Return None from call_cato_guardrail_on_output on monitor/no-action so the post-call hook only mutates the message when there is an actual redaction, instead of redundantly re-writing the original content. * refactor(utils): resolve explicit api_key model info without the cache Move the model-info build into a non-cached _build_model_info helper and drop api_key from the lru-cached _cached_get_model_info signature. Both cached helpers now take the same (model, provider, api_base) key and never forward api_key, while explicit per-caller keys are resolved through the builder directly instead of reaching into the cache wrapper's __wrapped__. * fix(cato): inspect and redact non-description schema string values Tool, function and response_format JSON schemas forward more than just description text to the model. enum, const, default, examples and title values are sent verbatim, so blocked content hidden in any of them bypassed Cato inspection and redaction. Walk those schema string values alongside descriptions on both the inspection and anonymize paths. * fix(model-info): surface swallowed dynamic model-info errors The provider-specific get_model_info dispatch falls back to the static cost map when a provider's dynamic lookup raises, which is intentional graceful degradation. Previously the exception was discarded with a bare debug line, so a real failure (e.g. a provider whose get_model_info signature does not accept api_key) was invisible. Log the exception at warning level with the model and provider context so the fallback is diagnosable. * fix(cato): inspect and redact Responses API output in post-call hook The post-call success hook only handled ModelResponse, so /v1/responses (which returns a ResponsesAPIResponse) bypassed the Cato output guardrail. Extract and inspect/redact every output_text content block and function-call arguments string, blocking on a block action, so generated text cannot escape inspection by using the Responses API. * chore: reset _experimental/out folder * chore(ui): remove orphaned prebuilt dashboard chunk files The _experimental/out manifests are byte-identical to the base branch, so the served dashboard already matches base. 436 unreferenced Next.js chunk files had accumulated in the directory and are not loaded by any manifest; removing them restores the committed UI artifacts to the base build and drops the artifact churn from this PR's diff. * fix(guardrails,ollama): forward ssl_verify to Cato init and raise_for_status on /api/show --------- Co-authored-by: Alex Yaroslavsky <trexinc@gmail.com> Co-authored-by: Graham Neubig <neubig@gmail.com> Co-authored-by: Graham Neubig <398875+neubig@users.noreply.github.com> Co-authored-by: openhands <openhands@all-hands.dev> Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Piotr Placzko <piotr@icep-design.com> Co-authored-by: Iana <iana@Shivakumars-MacBook-Pro.local> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-06-01 21:22:35 -07:00
Sameer Kankute	68952a55d7	docs(agents): clarify when to create new test files (#29472 ) * docs(agents): clarify when to create new test files in CLAUDE.md Document that bug fixes should extend existing mapped test files while new features may add files under the mirrored tests/test_litellm/ layout. Co-authored-by: Cursor <cursoragent@cursor.com> * docs(agents): clarify test file naming conventions in CLAUDE.md Address Greptile feedback: document test_<filename>.py vs descriptive test_*_transformation.py patterns and when to match existing names. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-06-01 21:10:42 -07:00
Sameer Kankute	c233cbbc2a	fix(batches): skip unnecessary batch input file reads (#29114 ) * fix(batches): skip unnecessary batch input file reads Skip expensive pre-read of batch input files when no batch limits apply and model allowlist checks are not required, and decode model-embedded file IDs before file-content fetches to prevent upstream 404s. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(batch-rate-limiter): prevent user metadata flag from bypassing model allowlist The skip_batch_input_file_rate_limiting flag in litellm_metadata is user-controllable for batch requests (request-body metadata lands in litellm_metadata via LITELLM_METADATA_ROUTES). Honoring it unconditionally also skipped _enforce_batch_file_model_access, letting a restricted key submit a JSONL referencing models outside its allowlist. Only honor the metadata-based skip when the key has no model allowlist to enforce. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(batch_rate_limiter): enforce model access check before honoring skip paths Admin-configured skips (disable_batch_input_file_rate_limiting, skip_batch_input_file_rate_limiting_for_models/_for_providers) and the no-applicable-rate-limits short-circuit previously bypassed _enforce_batch_file_model_access. A key with a restricted model allowlist could therefore submit a batch JSONL referencing models outside its allowlist whenever any of these skip paths fired, and the provider-skip path was attacker-controllable via the request body's custom_llm_provider field. Hoist the model-access guard to the top so restricted keys always have their JSONL validated regardless of which skip would otherwise apply. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(batch_rate_limiter): wildcard model bypass + fail-open embedded model creds - _key_requires_batch_model_access_check: check '' / all-proxy-models before access_group_ids so wildcard keys skip the JSONL download. - _resolve_batch_input_file_fetch_params: wrap embedded-model get_credentials_for_model in try/except HTTPException, mirroring the request-model fallback path, and always decode the file id. Co-authored-by: Yassin Kortam <yassin@berri.ai> perf(batch_rate_limiter): reuse rate-limit descriptors across skip check and counter increment * test(batch_rate_limiter): cover skip-path and file-fetch helpers Add unit tests for the batch rate limiter's new skip/routing helpers so the diff's patch coverage no longer depends on the CircleCI batches job, whose coverage upload is blocked when an unrelated Bedrock integration test aborts the run. Covers _get_batch_routing_model, _matches_skip_list, _key_requires_batch_model_access_check, _has_applicable_batch_rate_limits, _should_skip_batch_input_file_processing, _resolve_batch_input_file_fetch_params, the descriptor-reuse path of _check_and_increment_batch_counters, and the non-bytes file content guard in count_input_file_usage. * fix(batch_rate_limiter): resolve provider skip from trusted deployment creds Resolve the batch provider from router deployment credentials instead of the user-supplied custom_llm_provider request field, so an unrestricted key cannot spoof a skip-listed provider to bypass batch rate limiting. Strengthen the provider-skip test to assert the file download and descriptor work were short-circuited, and add a test that a spoofed provider still falls through to rate-limit evaluation. * fix(batch_rate_limiter): guard model-embedded credential lookup on llm_router presence * test(batch_rate_limiter): drive real no-skip fetch path and pin wildcard+access-group predicate The spoofed-provider test configured empty descriptors, so the no-limits shortcut skipped the file fetch and the assertion only proved the provider allow-list did not short-circuit before descriptor evaluation. Give the key an applicable rate limit so the only thing that can prevent the fetch is the provider skip, then assert afile_content is awaited and the counters are incremented; the spoofed custom_llm_provider must not skip processing. Also cover the wildcard / all-proxy-models plus access_group_ids combination in the model-access predicate so the wildcard-wins behavior is locked down. * fix(batch_rate_limiter): drop client-controlled skip flag to close quota bypass The litellm_metadata.skip_batch_input_file_rate_limiting flag was read straight from the request body, so any caller whose key had unrestricted model access could send it and skip the input-file download, token count, and RPM/TPM reservation, bypassing their batch rate limits. Skip decisions now derive only from server-controlled general_settings. * fix(batch_rate_limiter): match per-model skip on file-bound model only The per-model skip resolved its model from _get_batch_routing_model, which prefers the client-supplied top-level model field. That field only selects routing credentials; the models a batch actually runs are the body.model entries in the input JSONL. An unrestricted key could therefore name a skip-listed deployment at the top level while routing a different, same-provider model through the file, skipping the download, token count and rate-limit reservation to bypass batch RPM/TPM limits. Match the per-model skip against the file-bound model only (model-embedded file id or unified managed file target), which is fixed when the file is created and reflects the model the batch runs. The provider skip keeps using the routing model since an admin opting out of a whole provider already accepts any of that provider's models. * fix(batch_rate_limiter): drop forgeable per-model skip to close quota bypass The per-model skip matched skip_batch_input_file_rate_limiting_for_models against the model bound to the input file id. That model comes from decode_model_from_file_id / the unified file id, both unsigned base64 the caller fully controls, so a caller could re-encode an accessible provider file id with a skip-listed model while the JSONL still routes rate-limited body.model entries and bypass the batch RPM/TPM counters. The models a batch actually runs are its JSONL body.model entries, which cannot be known without reading the file, so no caller-influenced model identifier can safely gate a skip. Remove the per-model skip entirely. The provider skip stays because the provider is resolved from trusted deployment credentials and the batch is constrained to run on that provider; the global disable and no-applicable-limits skips stay because they do not depend on caller input. * fix(batch_rate_limiter): warn when no-op per-model skip key is configured * test(batch_rate_limiter): patch llm_router so model-embedded credential-error test hits fallback * fix(batch_rate_limiter): resolve provider skip from file-bound model create_batch routes a model-embedded or unified file id on the model bound to that file and ignores the top-level model, so deriving the provider skip from the top-level model first let a caller point model at a skip-listed provider while the file routed a rate-limited one, skipping counter enforcement. Resolve the routing model from the file binding first, matching the batch endpoint. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-06-01 20:03:19 -07:00
ryan-crabbe-berri	609e1e9763	fix(ui): render caller-supplied filter options in caller order (LIT-3151) (#29462 ) FilterComponent iterated a hardcoded orderedFilters whitelist instead of the options prop, so any consumer whose filter names were not on that list rendered nothing. The Tool Policies page passes "Input Policy", "Output Policy", "Team Name" and "Key Name", none of which were whitelisted, so its Filters panel opened to an empty area. Drop the whitelist and render the options the caller passes, in the order they pass them, so each page owns its own filter set and ordering. The Logs page array is reordered to match its prior on-screen order; VirtualKeys and TeamVirtualKeys already matched the old whitelist order and are unaffected.	2026-06-01 18:43:09 -07:00
ryan-crabbe-berri	1cce49b9d0	fix(vector-stores): support engines URL for Vertex AI Search (#27885 ) Adds optional vertex_engine_id field to vertex_ai/search_api so users can route through a Discovery Engine search app instead of the data store directly. Required for website, healthcare, and connector-based data stores that return FAILED_PRECONDITION on the existing dataStores URL. Existing data-store-direct callers are unaffected. Resolves LIT-3036	2026-06-01 16:39:40 -07:00
yuneng-jiang	45d41f4104	ci(release): create stable/X.Y.x line branch on X.Y.0 tags (#29457 ) Each patch release currently spawns an ad-hoc patch/v1.84.N branch that exists only to base the next patch's cherry-picks on, leaving stale per-patch branches behind and making "what is queued for the next 1.84.x" hard to answer. Switch to one long-lived line branch per minor, stable/X.Y.x, created automatically the first time we tag X.Y.0 on that minor, and tagged on for each subsequent patch. The gate is ^v?(\d+)\.(\d+)\.0$, so rc / dev / nightly / .post / patch tags all skip cleanly; the line branch is created exactly once per minor. Existing release/<tag> behavior is untouched (additive step), and RC patches keep their current patch/v1.87.0rcN flow until that gets its own follow-up.	2026-06-01 15:56:34 -07:00
Sameer Kankute	c908505e6a	fix(proxy): omit OpenAI [DONE] on google-genai streamGenerateContent (#29426 ) * fix(proxy): omit OpenAI [DONE] on google-genai streamGenerateContent google-genai SDK uses ?alt=sse and cannot parse the proxy's trailing data: [DONE] chunk. Skip that terminator for agenerate_content_stream. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): address Greptile review on google-genai stream fix Always yield stream error_message; only gate data: [DONE] on the skip flag. Set _litellm_skip_openai_stream_done in google_endpoints instead of common_request_processing. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-06-01 14:38:19 -07:00
milan-berri	29270a36a5	fix(anthropic, fireworks): inline legacy $ref defs in tool schemas (#28646 ) Tools sourced from MCP servers and OpenAPI-derived gateways (AWS AgentCore + Google Workspace, DevRev MCP, etc.) frequently carry JSON Schemas backed by legacy ``definitions`` (draft-04) or OpenAPI ``components.schemas`` instead of ``$defs`` (JSON Schema 2020-12). Anthropic and Fireworks only resolve ``$defs``. Their tool-schema filters silently drop the unrecognised def blocks while keeping the ``$ref`` pointers, so the upstream rejects the request: - Anthropic: ``tools.0.input_schema: Invalid tool schema, $ref is not supported`` - Fireworks: ``Error resolving schema reference '#/definitions/...'`` (PointerToNowhere) Add ``unpack_legacy_defs(schema, *, copy=False)`` next to the existing ``unpack_defs`` -- a single helper that pops draft-04 ``definitions`` and OpenAPI ``components.schemas`` and feeds them through ``unpack_defs`` in place. ``$defs`` is left untouched (resolved natively). ``copy=True`` deep-copies first when there is actually work to do, used by Anthropic so the caller's tool dict is preserved. Anthropic ``_map_tool_helper`` calls ``unpack_legacy_defs(_, copy=True)``; Fireworks ``_transform_tools`` calls ``unpack_legacy_defs(params)`` in place. Refs: https://github.com/BerriAI/litellm/issues/26692 Co-authored-by: Cursor <cursoragent@cursor.com>	2026-06-01 14:28:31 -07:00
Mateo Wang	65b6e04da6	fix: stop use_chat_completions_api flag from leaking into provider request body (#29447 ) * fix: stop use_chat_completions_api flag from leaking into provider request body use_chat_completions_api is a LiteLLM control flag that forces the /responses -> /chat/completions bridge. It was missing from all_litellm_params, so get_non_default_completion_params treated it as a model-specific param and forwarded it to the upstream provider. A model-level "use_chat_completions_api: true" in the proxy config therefore reached the chat-completions path and was rejected by strict providers (OpenAI/Anthropic) with HTTP 400 for an unknown body field. Register it as a known internal param so it is stripped on every path (completion, the responses bridge that calls litellm.completion, and filter_out_litellm_params). Adds a regression test driving litellm.completion() with a mocked OpenAI client that asserts the flag never reaches the request body. * test: clarify extra_body assertion in use_chat_completions_api leak test Replace the misleading 'not in ... or {}' precedence idiom with an explicit parenthesized guard that also handles extra_body being None.	2026-06-01 14:04:42 -07:00
Yassin Kortam	8190ff4d86	feat(otel): allowlist team_metadata sub-keys promoted to baggage (#29442 )	2026-06-01 14:02:23 -07:00
Yassin Kortam	fe108580d7	fix(datadog): split oversized batches on 413 instead of re-queueing forever (#29444 )	2026-06-01 14:01:31 -07:00
Mateo Wang	f7c029d4a0	fix: add mistral/ministral-8b-latest to model price map (#29453 )	2026-06-01 12:36:45 -07:00
Mateo Wang	76bf280d0a	test(responses): bump deprecated gemini-3-pro-preview to gemini-3.1-pro-preview (#29433 ) Google sunset gemini-3-pro-preview on the Gemini API, so the AI Studio responses-API thought-signature tests started failing with a 404 ("This model models/gemini-3-pro-preview is no longer available"). Point both tests at the current gemini-3.1-pro-preview model, which litellm already has registered and which supports the function calling, reasoning, and native streaming these tests exercise.	2026-06-01 09:54:30 -07:00
yuneng-jiang	28c0d8579b	chore(deps): bump deps (#29373 ) * bump: version 0.1.41 → 0.1.42 * uv lock	2026-05-30 20:41:23 -07:00
yuneng-jiang	54ed5a4eb5	fix(e2e): tolerate trailing slash in SERVER_ROOT_PATH login redirect (#29369 ) The Next.js admin UI is exported with trailingSlash: true, so the proxy serves /ui/login at /ui/login/index.html and 308s /ui/login → /ui/login/. The waitForURL predicate used endsWith("/ui/login"), which never matched the canonicalized URL and timed out after 15s. This was masked until the build artifacts were regenerated against the AuthContext fix: the prior bundles still hit the racy redirect path that fired before proxyBaseUrl was populated, producing /ui/login (no prefix, no proxy round-trip, no trailing slash) which fortuitously satisfied the predicate. The first PR to ship the corrected bundle exposed the assertion bug. Switch the predicate to includes("/ui/login"); the prefix assertion below still validates the SERVER_ROOT_PATH preservation that is the actual contract under test.	2026-05-30 20:00:33 -07:00
michelligabriele	80cf50dedb	fix(v3 limiter): cap no-max_tokens TPM floor at smallest configured limit (#28805 )	2026-05-30 19:36:04 -07:00
yuneng-jiang	8b16b61114	chore: update Next.js build artifacts (2026-05-31 02:04 UTC, node v20.20.2) (#29366 )	2026-05-30 19:25:42 -07:00
michelligabriele	117136cccc	fix(openai-moderation): wire streaming flags through to unified dispatcher (#27324 )	2026-05-30 19:22:25 -07:00
yuneng-jiang	f0ebfb2a1b	fix(ui): break logout redirect loop across origins (#29360 ) When the user has visited both the dev UI (e.g. localhost:3000) and the proxy UI (e.g. localhost:4000) in the same tab, logging out from the dev origin produced an infinite logout/login redirect. The proxy-side LoginPage's "is the user still authenticated?" check was reading getCookie("token"), which falls back to sessionStorage when document.cookie has no token. The cross-origin clearTokenCookies() call from the dev origin can clear cookies on the shared hostname, but cannot reach sessionStorage on the proxy origin (sessionStorage is per-origin), so the fallback returned a stale token and LoginPage interpreted the user as logged in, redirecting back to the dev origin. Dev origin then saw no cookie and redirected to LoginPage, repeating ~20x per second. This change introduces getCookieFromDocument(), a cookie-only read with no sessionStorage fallback, and uses it in LoginPage's already-logged-in check. The HttpOnly-reverse-proxy defense from PR #23532 is unaffected: storeLoginToken still writes both the JS cookie at /ui and the sessionStorage backup, and getCookie still falls back for callers that want the full read path.	2026-05-30 19:02:29 -07:00
ryan-crabbe-berri	a9cc6ed68c	test(e2e): cover PROXY_LOGOUT_URL redirect on Logout (#29080 ) * test(e2e): cover PROXY_LOGOUT_URL redirect on Logout Env-gated spec mirroring the existing serverRootPathRedirect pattern: when the proxy is booted with PROXY_LOGOUT_URL set, clicking Logout in the navbar must navigate to that external URL. The standard run_e2e.sh exports an empty value so the rest of the suite is unaffected; this spec self-skips unless the env var is populated. * test(e2e): run PROXY_LOGOUT_URL spec in the suite + harden logout assertions Boot the e2e proxy with PROXY_LOGOUT_URL set (job-level env in CircleCI and run_e2e.sh) so proxyLogoutUrl.spec.ts actually runs instead of self-skipping. Nothing else in the suite performs a logout, so this only affects the behavior under test. Harden the spec to verify the logout flow rather than a URL substring: - wait for /sso/get/ui_settings before clicking so logoutUrl is populated (otherwise window.location.href = "" silently reloads same-origin) - assert a token cookie exists first, and is cleared after logout - locate the dropdown via getByRole instead of internal antd CSS classes - stub the external destination and assert on URL origin + path prefix * test(e2e): assert exact PROXY_LOGOUT_URL on logout redirect Replace the origin + startsWith(pathname) checks with a single normalized href comparison. With PROXY_LOGOUT_URL=https://www.example.com the path was "/", so startsWith("/") matched any path and left path/query/hash unchecked. Comparing normalized hrefs pins scheme, host, port, path, query and hash while still tolerating the browser's trailing-slash/default-port normalization.	2026-05-30 18:19:04 -07:00
yuneng-jiang	7d1bd9d9f4	fix(reset_budget): write only {spend, budget_reset_at} and stop pre-zeroing counter (#29358 ) * fix(reset_budget): write only {spend, budget_reset_at} and stop pre-zeroing counter ResetBudgetJob's batched update_data path shipped the full key/user/team model on each reset. Prisma rejects object_permission_id and budget_limits on the update input type, so any row carrying those fields detonated the entire batch -- spend never reset, budget_reset_at never advanced. After v1.84.0 started populating object_permission_id on UI-created keys, this fires routinely. _reset_budget_common also zeroed the cross-pod spend counter before the DB write, so failed resets left enforcement reading 0 from the counter while the DB still held the over-budget spend, admitting requests past the cap until the counter naturally re-saturated from new reservations. Switch the write to per-row narrow updates ({spend, budget_reset_at}) via db.batch_, and move the counter invalidation out of _reset_budget_common so it only fires after the DB write commits. On DB-write failure the counter is left untouched, enforcement continues to block, and the next scheduler tick can retry without leaving a bypass window. Fixes #27730. * fix(reset_budget): address Greptile review on #29358 - Strengthen the bypass-half regression test: replace the for-loop over call_args_list (vacuously true when empty) with assert_not_called(), so the test would actually flag a re-introduction of counter-zeroing via any code path. - Add the same explanatory docstring on _write_user_reset_updates and _write_team_reset_updates that _write_key_reset_updates already has, so all three helpers point future maintainers at #27730. * test(reset_budget): update test_proxy_budget_reset for new batch-write path Same shape as the previous test_reset_budget_job.py update: keys/users/teams now write through prisma.db.batch_().<table>.update, not update_data, so the tests need a batcher mock and updated assertions. Adds: - _wire_batcher_for_test helper that returns a list which accumulates per-row batch updates captured from prisma_client.db.batch_(). - _attrify helper that wraps dict fixtures so getattr(item, "token") works alongside the dict item-access the fake_reset_* mocks rely on. The new narrow-write helpers use getattr to pull out the row's id, and would silently skip plain dicts otherwise. - Updates 3 partial_failure tests to assert against the batch-call list (rows by id, payload contains only {spend, budget_reset_at}) instead of update_data.assert_awaited_once + data_list inspection. - Updates test_reset_budget_continues_other_categories_on_failure: only budget + enduser still flow through update_data; key/user/team go through the batch path now. - Wires the batcher mock into 3 service_logger_*_success tests so commit() is actually awaitable and the success hook fires. These tests were silently passing locally only because the editable install in .venv pointed at the main repo, not the worktree — running pytest with PYTHONPATH overridden to the worktree (matching CI) reproduces the failures.	2026-05-30 17:48:16 -07:00
ryan-crabbe-berri	90b5104475	feat(mcp/auth): additive key access-group grants + opt-in member assignment (#29313 ) * fix(mcp): make key.access_group_ids grants additive over team ceiling A key whose unified access_group_ids grant a private MCP server was having that grant intersected against its team's MCP ceiling, so a key in a team scoped to other servers (or with no own scope) lost the granted server entirely. Resolve access_group_ids once as ungated additive grants and union them on top of the key/team ceiling instead of folding them into the key scope that gets intersected. * test(mcp): align key access-group tests with additive-grant model The previous commit moved key.access_group_ids resolution out of the intersected key ceiling (_get_allowed_mcp_servers_for_key) and into the ungated additive grant path (_get_key_access_group_mcp_server_extras), unioned on top of the team ceiling. Five tests from #28890/#29195 still asserted the old gated / in-key-scope contract and failed: - _get_allowed_mcp_servers_for_key now returns the object_permission ceiling only and never resolves access_group_ids; two tests now assert the group resolver is not called from that path (with and without an object_permission present). - The extras path is ungated, so a group whose assigned_team_ids / assigned_key_ids exclude the caller still contributes its servers. - The end-to-end test asserts the grant surfaces via the extras path rather than the base key path. - Dropped test_key_access_group_ids_empty_returns_no_extras; the empty case is already covered by the extras family's no-groups test. * feat(auth): gate member access-group assignment on keys behind opt-in Non-admin team members could attach access_group_ids to keys they create or update, letting them self-grant resources (MCP servers/models) the team admin never intended. Add an opt-in KEY_ACCESS_GROUP_ASSIGNMENT team-member permission (default-deny) enforced at /key/generate and /key/update; proxy and team admins bypass. Surfaces automatically as a checkbox in the team Member Permissions UI. * fix(auth): gate access-group assignment on /key/regenerate too RegenerateKeyRequest inherits access_group_ids and prepare_key_update_data persists it, so a non-admin key owner could self-grant access groups by regenerating. Apply the same opt-in member gate using the existing key's team. * test(auth): cover member access-group gate and additive MCP grants Add unit tests for enforce_member_can_assign_access_groups (deny without opt-in, allow with opt-in, and proxy-admin / team-admin / non-team-key bypasses) and for _get_key_access_group_mcp_server_extras (no-auth and no-resolved-servers return empty, resolved ids are expanded, errors degrade to no grants).	2026-05-30 17:35:31 -07:00
Shivam Rawat	dc4f5b12ef	fix(proxy): enforce allowed_passthrough_routes for auth=true pass-thr… (#29256 ) * fix(proxy): enforce allowed_passthrough_routes for auth=true pass-through Pass-through endpoints with auth=true were injected into openai_routes, so teams with openai_routes access bypassed per-team allowed_passthrough_routes. Gate auth-enforced pass-through at JWT, virtual-key, and non-admin route checks. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): clarify JWT passthrough denial Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): make pass-through auth checks method-aware Prevent allowlist bypass when the same path is registered with different auth settings per HTTP method. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix passthrough route auth checks * fix(proxy): reject unregistered pass-through HTTP methods Enforce method-aware JWT checks and return 405 when stale FastAPI routes accept requests outside the current pass-through registry. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): remove duplicate request_method in JWT team lookup Fixes SyntaxError on proxy startup caused by passing request_method twice to find_team_with_model_access. Co-authored-by: Cursor <cursoragent@cursor.com> * Fix passthrough route auth enforcement * fix(proxy): raise passthrough-specific 403 directly in virtual-key path * fix(proxy): load team for RBAC role-claim JWT passthrough gating * Revert "chore(tests): migrate Bedrock CI to AWS account 941277531214 (#28728)" (#29326) This reverts the Bedrock CI account migration (#28728). The original account (888602223428) was put under an AWS security restriction after a leaked key and has since been reactivated, while the replacement account (941277531214) lacks access to several models the suites exercise (legacy Bedrock Claude 3 models, Cohere, Nova Canvas image gen, Bedrock batch inference, and flagship Opus). Pointing CI back at the reactivated account restores that coverage. This is the exact inverse of #28728: all hardcoded 941277531214 references go back to 888602223428 (provisioned/imported-model ARNs, AgentCore runtime ARNs and their suffixes, batch execution role ARN, and the example proxy config), the S3 buckets revert to litellm-proxy and load-testing-oct, the guardrail IDs revert to wf0hkdb5x07f and ff6ujrregl1q, the SageMaker endpoint and Knowledge Base revert to their original ids, and the live-call tests go back to the legacy model strings. The grid_spec fail_reason workaround for the unentitled Opus cells is dropped while keeping the unrelated bedrock_effort_ceiling field added after the migration. The CircleCI AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY env vars still point at 941277531214 and must be set to the reactivated account's fresh credentials separately via the CircleCI API; AWS_REGION_NAME stays us-west-2. (cherry picked from commit `f11c12d157`) * fix(proxy): scope pass-through 405 to registry routes; grant rerank passthrough in rpm tests The auth=true pass-through 405 guard fired for mapped provider routes (e.g. /assemblyai/) that are not in the in-memory registry, since get_registered_pass_through_route returns None for them while is_registered_pass_through_route matches via mapped_pass_through_routes. Only raise 405 when the path is registered but the request method is not allowed, so mapped provider pass-throughs fall through to the default target params as before. The rpm-limit pass-through tests register /v1/rerank with auth=true but gave their keys no allowed_passthrough_routes, so the new default-deny returned 403 before the rate limiter ran (non-deterministically, depending on registry insertion order). Grant the keys explicit passthrough access so the tests exercise rate limiting under the new auth model. fix(proxy): guard request method lookup against scopes without a method Starlette's Request.method property reads scope["method"] and raises KeyError when the scope omits it (e.g. minimally-constructed test requests). getattr only swallows AttributeError, so the new _get_request_method helper propagated the KeyError up through user_api_key_auth and surfaced as a ProxyException. Catch KeyError (and AttributeError) and fall back to None. * test(passthrough): pin SERVER_ROOT_PATH in unregistered-method test test_custom_proxy.py sets os.environ['SERVER_ROOT_PATH'] = '/my-custom-path' at module import with no cleanup. When that module is collected into the same xdist worker as this test, the leaked root path is prepended to registered pass-through paths, so is_registered_pass_through_route misses '/test/path' and the handler returns 404 instead of the expected 405 (order-dependent). Pin SERVER_ROOT_PATH to '' so the test is deterministic. * test(passthrough): restore regression coverage for non-auth-enforced pass-through via llm_api_routes * fix(proxy): record auth flag in pass-through registry for allowlist enforcement Auth-enforced pass-through detection inferred enforcement from the FastAPI dependency stored at registration time. The management create and update endpoints register routes with dependencies=None even though auth defaults to true, so is_auth_enforced_pass_through_route treated those DB-created routes as unenforced. A key allowed for llm_api_routes could then call a management-created auth-enabled pass-through route without matching allowed_passthrough_routes. Store the auth setting on each registry entry and read it directly when deciding whether the allowlist applies, instead of deriving it from dependency metadata. * fix(proxy): include bool in pass-through registry value type for auth flag The auth flag stored in _registered_pass_through_routes is a bool, which was not part of the registry value Union, so mypy rejected the dict literal. Add bool to the Union and narrow route_methods to a list before the membership check so the in-operator stays valid. * fix(proxy): preserve stored auth flag on pass-through endpoint update model_dump(exclude_none=True) re-included the auth=True default whenever a partial update omitted auth, silently flipping an existing auth=false pass-through to auth-enforced and 403ing every team/key without allowed_passthrough_routes. Merge only explicitly set fields via exclude_unset so omitted fields keep their stored value. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-05-30 17:07:24 -07:00
Sameer Kankute	ba2699740c	feat(pass_through): extend passthrough_managed_object_ids to Azure (#29160 ) * feat(pass_through): extend passthrough_managed_object_ids to Azure Adds managed ID minting/resolution for Azure passthrough endpoints (/azure/...) alongside the existing OpenAI passthrough support. Key changes: - pass_through_endpoints.py: detect azure/azure_ai custom_llm_provider (string or enum) to set _is_managed_id_provider and _managed_id_provider; both INPUT and OUTPUT rewrite blocks now fire for Azure. - llm_passthrough_endpoints.py: forward custom_llm_provider into create_pass_through_route so it reaches pass_through_request (was None). - managed_id_rewriter.py: extend _PASSTHROUGH_PREFIX_RE and _canonical_path to strip /azure/openai prefix and add /v1/ for Azure paths that omit it; add ("azure", method, path) entries to BUILTIN_OUTPUT_ID_FIELD_MAP for files and batches endpoints. - managed_id_codec.py / types/utils.py: supporting codec and enum constant. - proxy_server.py: register llm_passthrough_router before batches_router to prevent route collision for /openai_passthrough/* paths. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(pass_through): remove unused imports for ruff F401 Co-authored-by: Cursor <cursoragent@cursor.com> * fix(pass_through): satisfy mypy for optional parsed_body Co-authored-by: Cursor <cursoragent@cursor.com> * fix(pass_through): compute query params string after managed-ID rewrite Move requested_query_params_str computation to after the managed-ID input rewrite block so logging_url reflects the rewritten raw-provider query params actually sent upstream, instead of the original managed IDs. Co-authored-by: Yassin Kortam <yassin@berri.ai> * Add support for managed ids for passthrough responses api * Add support for list batches and list files * style: run Black on passthrough managed ID files Fix CI formatting for managed_id_rewriter.py and pass_through_endpoints.py. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(passthrough): parse json file_object and implement before-cursor pagination - Parse row.file_object via json.loads when Prisma returns it as a string; mirrors openai_files_endpoints/common_utils.py so list responses keep all stored detail fields (status, timestamps, etc.). - Implement the previously-parsed-but-unused 'before' cursor for list pagination by flipping fetch order to ascending with a 'gt' bound on created_at, then reversing rows so the response stays newest-first. Co-authored-by: Yassin Kortam <yassin@berri.ai> * Remove logger * refactor: split list_passthrough_ids_from_db to fix PLR0915 Extract pagination, fetch, and serialization helpers so the main list function stays under the statement limit without changing behavior. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: scope passthrough managed ID dedup and list by provider Validate embedded provider before reusing deduped file/object rows so OpenAI and Azure cannot share the same managed ID for an identical raw ID. Filter list responses to rows whose managed IDs decode to the current provider, with over-fetch scanning when needed. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(managed_id_rewriter): cap pagination trim at effective limit When raw_limit > 100, fetch_limit is capped at 101 (one extra row to detect has_more), but trimming with rows[:raw_limit] failed to drop the sentinel row. Use the capped effective limit instead. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: cross-provider object collision and fail-closed list error handling Greptile P1: move provider check before access check in _mint_or_reuse_object so a cross-provider raw ID collision (OpenAI and Azure share the same batch_ ID) falls through to mint a new provider-scoped row instead of raising 404. Veria-ai medium: _fetch_provider_scoped_list_rows now always returns (page, has_more) — DB errors break out of the scan loop and return matched rows so far. list_passthrough_ids_from_db never returns None for a recognised list route, so the caller can never fall through to the upstream provider. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: namespace passthrough model_object_id by provider to prevent unique violation Store model_object_id as 'passthrough:{provider}:{raw_id}' instead of the bare raw ID so OpenAI and Azure can each own a row for the same raw batch ID without hitting the @unique constraint. Dedup lookup uses the same namespaced key so it is implicitly provider-scoped and the _managed_id_matches_provider check is no longer needed on the object path. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: gate list interception on managed_files hook like input/output rewrites Without the hook no managed IDs are minted so the DB is empty. Intercepting GET /v1/files without the hook returned an empty list and hid the caller's real upstream files/batches. Matches the guard used by the input and output rewrite blocks. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: set has_more=True when scan cap is hit with a full final DB batch When max_scans (20) is exhausted and the last DB page was full-sized, there are almost certainly more rows beyond the scan window. Track last_batch_full across iterations so the scan_cap_hit condition sets has_more=True in that case, preventing silent pagination truncation in high-mixed-provider pools. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(managed_id_rewriter): scope pagination cursor lookup to caller-owned rows Prevent a cross-tenant timing oracle by constraining the after/before cursor row lookup to the caller's owner_filter, and cover the real Azure responses path form (no /v1/) in tests. * fix(managed_id_rewriter): align passthrough list metadata with direct GET Persist upstream file metadata when minting a managed file ID and rewrite nested batch file IDs before snapshotting the object, so DB-served file/batch list responses return the same fields and managed IDs as a direct endpoint GET. * fix(managed_id_rewriter): degrade to raw id on cross-owner object collision The OUTPUT (mint) path of _mint_or_reuse_object raised HTTPException(404) when a dedup hit on the namespaced model_object_id belonged to a different owner, converting a successful upstream batch/response creation into a 404 for the caller. Two upstream accounts under one provider name can issue the same raw id, so this is reachable in multi-tenant deployments. Return the caller's raw id unmanaged instead: the upstream create already succeeded, a new managed row can't be minted (model_object_id is @unique), and reusing the other owner's managed id would later fail the access check. * fix(managed_id_rewriter): scope list cursor by provider and cap body-rewrite recursion depth * perf(managed_id_rewriter): push batch list provider scope to DB and anchor canonical-path prefix Object (batch) list rows store model_object_id as passthrough:{provider}:{raw}, so the provider filter is now applied at the indexed DB column, collapsing the application-layer multi-scan to a single query for that table. File rows keep the decode-based scan since they have no provider column. Anchor the canonical-path prefix regex at a path boundary so routes such as /openai_realtime/... are no longer mis-stripped. * fix(managed_id_rewriter): refresh stored batch snapshot on reuse The dedup-reuse path in _mint_or_reuse_object returned the existing managed id without updating the stored file_object, so DB-served list responses kept the creation-time snapshot and showed null output_file_id/error_file_id even after the batch completed. Refresh the snapshot when an owned row is reused so the list reflects the batch's latest state. * fix(managed_id_rewriter): deny cross-owner object access on retrieve/cancel/delete Returning the raw id when can_access_resource fails only made sense for create responses, where the caller's own upstream create succeeded under a raw id that a different owner already holds. On retrieve/cancel/delete the caller reaches that branch only by supplying another tenant's raw id (which bypasses the managed-id input gate), so echoing the upstream object back leaked it cross-tenant. Restrict the raw fallback to create routes and return 404 otherwise. * fix(managed_id_rewriter): deny cross-owner file access on retrieve/delete _mint_or_reuse_file scoped the raw file dedup lookup to the current caller, so a raw file-... id belonging to another tenant was never found and the OUTPUT path minted a fresh managed id for that same upstream file under the caller. A raw id only reaches this path by skipping the managed-id input gate (raw provider ids are opt-out), so a different-owner row means the caller is touching someone else's file. Look up flat_model_file_ids globally and run can_access_resource; deny with 404 on retrieve/delete and leave the raw id unmanaged on create, which mirrors the cross-owner handling already in _mint_or_reuse_object. * fix(managed_id_rewriter): deterministic provider-scoped file dedup Replace the unscoped find_first in _mint_or_reuse_file with a find_many ordered by created_at and an application-layer provider filter. The file table has no provider column, so a raw file id shared across OpenAI and Azure could map to one row per provider; find_first then picked a row non-deterministically and, on a provider mismatch, minted a fresh managed row on every call, accumulating duplicates. Selecting the oldest matching same-provider row the caller can access keeps reuse stable and prevents duplicate rows while preserving the cross-tenant deny/leave-raw behaviour. * refactor(pass_through): scope passthrough managed IDs on the explicit provider Move the openai/azure detection out of pass_through_request into resolve_passthrough_managed_id_provider in llms/base_llm/managed_resources, and key managed-ID rewriting on the forwarded custom_llm_provider rather than the upstream URL's EndpointType. The helper documents why azure and azure_ai collapse to one "azure" scope (they share the same Azure OpenAI files/batches surface, so an ID minted on one must resolve on the other) and returns None for any other provider so a third-party OpenAI-compatible endpoint never triggers managed-ID minting. Add TestManagedIdProviderScope covering the azure_ai -> azure collapse and the non-openai/azure exclusion. * test(log_db_metrics): assert sanitized event_metadata contract test_log_db_metrics_success still asserted the legacy event_metadata shape (function_name/function_kwargs/function_args), which #28909 intentionally removed so that live Prisma clients, OTel spans, and secrets never land on a service-log span. The decorator now emits only a sanitized payload: None when no table_name is present, and {"table_name": ...} when it is. Update the test to verify both branches of that contract. * fix(managed_id_rewriter): page provider-scoped file list by offset The file list scan advanced its cursor with a strict created_at boundary. When several rows shared a created_at timestamp and a non-matching provider row sat on the page boundary, the next query skipped the remaining rows at that timestamp, dropping matching files from the response. Page by a stable offset over a total order (created_at plus the unique id column) so tied rows are never skipped or repeated. * fix(managed_id_rewriter): push file-list provider scope to the DB The file-list helper had no provider column to query, so it scanned the table and filtered by decoding each managed ID in the application layer, capped at 20 pages. For an admin with a large mixed-provider file pool that cap could truncate a page. Mint now writes a _passthrough_provider:{provider} marker into flat_model_file_ids, giving the file table the same DB-queryable provider scope object rows already get from the namespaced model_object_id. The list helper pushes the scope into the query so a single round-trip serves the page. The scan loop, the offset paging, and the cap are gone, so pages can no longer truncate, leak the other provider, or skip rows that share a created_at timestamp. * fix(managed_id_rewriter): deny raw provider IDs that map to another tenant's managed resource Clients only ever receive managed IDs on passthrough, so a raw file/batch/response ID for another tenant's managed object can only be recovered by decoding that tenant's managed ID. Raw IDs were forwarded upstream untouched (deliberate opt-out), which on a retrieve/cancel/delete executed upstream before the response-side ownership check ran, leaking a cross-tenant action. Guard raw provider IDs on the input path: when a raw file-/batch_/resp_ ID resolves to a managed row the caller cannot access, return 404 before forwarding. Genuinely unmanaged raw IDs (no DB row) and IDs the caller owns are left untouched, preserving the opt-out. * test(managed_id_rewriter): cover azure_ai and pre-versioned azure passthrough paths * fix(managed_id_rewriter): fall back to raw id when persistence fails A DB persistence failure after a successful upstream create left the client holding a minted managed ID with no backing row, so every later resolve returned 404 and the resource was permanently unreachable. Mint the managed ID only when the row is stored; on persistence failure return the raw provider id, matching the no-persistence-available fallback, so the freshly-created resource stays reachable. * fix(managed_id_rewriter): log only rewritten query param keys * fix(managed_id_rewriter): use compound (created_at, id) list cursor boundary A timestamp-only lt/gt cursor boundary skips list rows that share the cursor row's created_at across a page boundary, silently dropping them. Compare the unique id (the secondary sort key) alongside created_at so the page walk stays complete when timestamps tie. * fix(managed_id_rewriter): converge concurrent object creates on one managed id * fix(managed_id_rewriter): bound raw-id guard DB lookups per request The INPUT guard fired one DB lookup for every file-/batch_/resp_ prefixed string in the path, query, and body. The file-id guard is an unindexed array-containment scan over LiteLLM_ManagedFileTable, so an authenticated caller could amplify a single passthrough request into thousands of full-table scans by packing a body with id-shaped strings. De-dupe raw ids within a request and cap the distinct guard lookups, failing closed with 400 instead of skipping the guard. Legitimate callers hold managed ids (resolved via an indexed unified_*_id lookup, not the guard), so the cap only trips under abuse. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-05-30 16:30:10 -07:00
Shivam Rawat	7ca796beb1	fix(proxy): restrict vector store index create/delete to proxy admins (#29202 ) * fix(proxy): restrict vector store index create/delete to proxy admins Prevent non-admin API keys from registering indexes via POST /v1/indexes or deleting Azure AI Search indexes through managed pass-through routes. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(proxy): tighten vector store index lifecycle checks Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-30 15:10:21 -07:00
Shivam Rawat	4c3efe9c7c	fix(guardrails): return HTTP 400 for litellm content filter blocks (#28418 ) * fix(guardrails): return HTTP 400 for litellm content filter blocks Align litellm_content_filter hard rejects with the standard guardrail block status code so clients receive 400 instead of 403. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(guardrails): return HTTP 400 for custom code guardrail blocks Pre-call custom code guardrail blocks now raise HTTPException(400) instead of using the passthrough ModifyResponseException path that returned a synthetic 200 response. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(guardrails): preserve custom code passthrough blocks Keep standalone custom code guardrail blocks on the passthrough contract while covering policy pipeline block handling for passthrough-style guardrail interventions. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-30 14:28:46 -07:00
Mateo Wang	152b1177e5	test(reasoning-effort-grid): cover Claude Opus 4.8 across provider routes (#29327 ) * test(logging): align DB metrics event_metadata assertions with safe redaction PR #28909 hardened log_db_metrics to emit a minimal, non-sensitive event_metadata (only table_name when present, otherwise None) instead of dumping function_name, function_kwargs, and function_args onto the span. The test in test_log_db_redis_services was not updated and still asserted "function_name" in event_metadata, which raised TypeError (argument of type 'NoneType' is not iterable) and turned the logging_testing CI job red on litellm_internal_staging. Update test_log_db_metrics_success to assert event_metadata is None when no table_name is passed, and add test_log_db_metrics_event_metadata_is_safe as a regression guard verifying that only the table name surfaces and that sensitive kwargs (tokens, prisma client) are never dumped. * test(bedrock): self-heal opus-4-7 grid cells when unentitled on CI The bedrock-claude-opus-4-7 converse cells are unentitled on the Bedrock CI account, so they were marked xfail. xfail keeps reporting them as expected failures even after access is granted, so the wire translation never gets verified again. Now the cell makes the call and skips only when Bedrock replies "is not available for this account"; the moment the model is entitled the same cells run their full assertions with no edit. A focused unit test pins the tolerance predicate so any other failure still surfaces loudly and the available path still runs the assertions. * test(reasoning-effort-grid): add claude-opus-4-8 across provider routes Adds claude-opus-4-8 to the anthropic, azure, vertex and bedrock-converse routes (275 cells total) so the reasoning-effort wire translation is covered for the new model. The bedrock opus-4-8 and opus-4-7 cells reuse the self-heal path: they run the call and skip only on Bedrock's "is not available for this account" reply, then assert in full once the model is entitled. The azure and vertex opus-4-8 cells stay xfail until a Foundry deployment exists and Vertex availability is confirmed. The shared xhigh+max capability set is renamed to _CAPS_XHIGH_MAX now that more than one model uses it.	2026-05-30 14:12:57 -07:00
yuneng-jiang	94a043efb2	refactor(proxy/auth): normalize Bearer prefix in safe-hash helper (#29343 ) * refactor(proxy/auth): normalize Bearer prefix in safe-hash helper UserAPIKeyAuth._safe_hash_litellm_api_key now strips a leading "Bearer "/"bearer " prefix before its existing sk-/JWT classification, so the helper produces the same hashed output regardless of whether the caller stripped the Authorization header prefix or passed the header value through unchanged. * refactor(proxy/auth): make Bearer-prefix strip case-insensitive Per RFC 7235 the HTTP authorization scheme token is case-insensitive. Replace the two-prefix loop with a single case-insensitive check so the helper normalizes "Bearer ", "bearer ", "BEARER ", and any mixed-case variant before classifying the remainder as sk- or JWT. The contract test gains coverage of "BEARER " and "BeArEr ". * test(mcp): align auth-handler test expectations with safe-hash helper The two MCP auth tests asserted that UserAPIKeyAuth(api_key="Bearer ...") retained the raw header bytes on the api_key field. _safe_hash_litellm_api_key now normalizes that input — stripping the Bearer prefix and hashing the resulting sk- key — so the expectations move to the normalized form: the bare token in the parametrize case, and hash_token("sk-...") in the backward-compat assertion. This matches what the real auth flow produces (the builder strips Bearer and the DB stores the hashed token), so the mocks now line up with production rather than with the un-normalized validator output.	2026-05-30 14:04:22 -07:00
Mateo Wang	bfbb5d2375	fix(ci): make litellm_internal_staging green (logging test + Bedrock Opus 4.7 self-heal) (#29344 ) * test(logging): align DB metrics event_metadata assertions with safe redaction PR #28909 hardened log_db_metrics to emit a minimal, non-sensitive event_metadata (only table_name when present, otherwise None) instead of dumping function_name, function_kwargs, and function_args onto the span. The test in test_log_db_redis_services was not updated and still asserted "function_name" in event_metadata, which raised TypeError (argument of type 'NoneType' is not iterable) and turned the logging_testing CI job red on litellm_internal_staging. Update test_log_db_metrics_success to assert event_metadata is None when no table_name is passed, and add test_log_db_metrics_event_metadata_is_safe as a regression guard verifying that only the table name surfaces and that sensitive kwargs (tokens, prisma client) are never dumped. * test(bedrock): self-heal opus-4-7 grid cells when unentitled on CI The bedrock-claude-opus-4-7 converse cells are unentitled on the Bedrock CI account, so they were marked xfail. xfail keeps reporting them as expected failures even after access is granted, so the wire translation never gets verified again. Now the cell makes the call and skips only when Bedrock replies "is not available for this account"; the moment the model is entitled the same cells run their full assertions with no edit. A focused unit test pins the tolerance predicate so any other failure still surfaces loudly and the available path still runs the assertions.	2026-05-30 13:57:18 -07:00
Shivam Rawat	2d4c13c00f	fix(mcp): preserve omitted fields on PUT /v1/mcp/server partial updates (#29253 ) * fix(mcp): preserve omitted fields on PUT /v1/mcp/server partial updates Use model_dump(exclude_unset=True) for updates so schema defaults (transport=sse, allow_all_keys=false, etc.) are not written when callers omit them. Serialize JSON fields from the filtered dict and only force is_byok on create. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): allow explicit alias=None on MCP server partial updates Snapshot caller-provided fields before normalization so omitted alias is not written while an intentional alias=None still clears the stored value. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-30 12:03:22 -07:00
Shivam Rawat	ace3c65ab3	fix(mcp): preserve source_url in GET /v1/mcp/server list responses (#29249 ) * fix(mcp): preserve source_url in GET /v1/mcp/server list responses The list endpoint builds responses from the in-memory registry, but source_url was dropped during the DB-to-registry roundtrip even though GET /v1/mcp/server/{id} returned it correctly from the database. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(tests/mcp): set source_url on MagicMock table records MagicMock auto-creates source_url as a mock object, which fails MCPServer Pydantic validation after source_url was wired through build_mcp_server_from_table. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-30 12:01:22 -07:00
Mateo Wang	f11c12d157	Revert "chore(tests): migrate Bedrock CI to AWS account 941277531214 (#28728 )" (#29326 ) This reverts the Bedrock CI account migration (#28728). The original account (888602223428) was put under an AWS security restriction after a leaked key and has since been reactivated, while the replacement account (941277531214) lacks access to several models the suites exercise (legacy Bedrock Claude 3 models, Cohere, Nova Canvas image gen, Bedrock batch inference, and flagship Opus). Pointing CI back at the reactivated account restores that coverage. This is the exact inverse of #28728: all hardcoded 941277531214 references go back to 888602223428 (provisioned/imported-model ARNs, AgentCore runtime ARNs and their suffixes, batch execution role ARN, and the example proxy config), the S3 buckets revert to litellm-proxy and load-testing-oct, the guardrail IDs revert to wf0hkdb5x07f and ff6ujrregl1q, the SageMaker endpoint and Knowledge Base revert to their original ids, and the live-call tests go back to the legacy model strings. The grid_spec fail_reason workaround for the unentitled Opus cells is dropped while keeping the unrelated bedrock_effort_ceiling field added after the migration. The CircleCI AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY env vars still point at 941277531214 and must be set to the reactivated account's fresh credentials separately via the CircleCI API; AWS_REGION_NAME stays us-west-2.	2026-05-30 11:26:24 -07:00
Shivam Rawat	967fed1fa1	feat(enterprise): add RESEND_FROM_EMAIL for self-hosted Resend sends (#28830 ) Allow self-hosted installs to override the default LiteLLM sender address via RESEND_FROM_EMAIL, matching SendGrid's SENDGRID_SENDER_EMAIL pattern. Co-authored-by: Cursor <cursoragent@cursor.com>	2026-05-30 10:09:05 -07:00
Sameer Kankute	4cc3dd7aad	feat(context_management): compact_20260112 polyfill for non-Anthropic providers (#28868 ) * feat(anthropic/messages): in-gateway context_management polyfill for non-Anthropic providers - Add `context_management/` module with `clear_tool_uses_20250919` editor dispatched before chat-completions translation on `/v1/messages` - Hard-protect most-recently completed tool_result from being cleared - Attach `context_management.applied_edits` to both non-streaming and streaming (final `message_delta`) responses - Bedrock Converse: forward `context_management`; filter to `compact_20260112`-only edits with `compact-2026-01-12` beta header - token_counter: guard Anthropic-format tools (no `function` key) to prevent AttributeError during polyfill token counting - Streaming: handle empty-choices usage-only trailing chunks - Skip polyfill when `litellm.drop_params = True` Co-authored-by: Cursor <cursoragent@cursor.com> * fix(bedrock): pop None context_management before sending to Bedrock Converse If context_management is forwarded as None (e.g. when mapping returns None for an invalid format), _filter_context_management_for_bedrock_converse previously returned early without removing the key, leaving "context_management": null in the request and causing a validation error. Pop the key when the value is not a dict. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(bedrock/converse): pop None context_management; extract helpers to fix PLR0915 Co-authored-by: Cursor <cursoragent@cursor.com> * fix(anthropic/messages): check per-request drop_params alongside global Co-authored-by: Cursor <cursoragent@cursor.com> * fix(anthropic/messages): preserve drop_params for downstream and respect explicit False Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: lazy debug logging in clear_tool_uses; remove unused context_management constants Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic/messages): guard context_management polyfill with try/except Wrap apply_context_management() in a try/except so any failure (e.g. litellm.token_counter raising on an unknown tokenizer or unexpected message format) is logged but does not crash the underlying LLM request. The polyfill is a best-effort additive feature; on failure we forward the original messages without applied edits. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(token_counter): guard None input_schema in Anthropic tool fallback Use `or {}` instead of `.get(..., {})` so explicit null parameters do not raise AttributeError when formatting function definitions for token counting. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: minimize context_management polyfill threading - Use None (not empty list) for polyfill_applied_edits when context management isn't requested, so semantics of 'feature not requested' vs 'feature requested but no edits applied' are distinct. - In the streaming iterator, only pass applied_edits to the per-chunk translator on the final (finish_reason) chunk; intermediate chunks ignore it anyway, and this makes intent explicit on both sync and async paths. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(context_management): align tool_use counts and normalize list spec - _count_tool_uses now requires a string id, matching _collect_tool_use_ids_in_order so the tool_uses trigger can't fire on blocks that aren't clearable. - apply_context_management dispatcher now accepts the OpenAI list form and normalizes it via AnthropicConfig.map_openai_context_management_to_anthropic, so the polyfill path no longer silently no-ops on list input. Co-authored-by: Yassin Kortam <yassin@berri.ai> * feat(context_management): add compact_20260112 polyfill for non-Anthropic providers Implements an in-gateway compaction polyfill that summarizes long conversations using a configurable model when `compact_20260112` is requested for non-Anthropic targets (e.g. OpenAI, Gemini), matching Anthropic's context management beta behaviour for those providers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(compact): skip tool_result-only user turns; bedrock: elif for context_management - compact_20260112 Phase D: when keeping the last user turn after a full summary, skip role=user turns whose content is exclusively tool_result blocks. Such turns translate to OpenAI tool-role messages with no preceding assistant tool_calls (those got summarized away), which non-Anthropic providers reject. Fall back to a synthetic continuation prompt if no eligible user question exists, so the downstream call always has a non-empty user message. - bedrock converse: chain the context_management param as elif so it follows the same if/elif pattern as the surrounding thinking/ reasoning_effort checks. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic): post-compaction question selection, system type, sync stream merge - compact.py: select last user question from effective_messages (post-compaction slice) instead of raw messages, so prior summarized turns aren't reintroduced - handler.py: widen _prepare_completion_kwargs system parameter type to Union[str, List[Dict]] matching PolyfillResult.system - streaming_iterator.py: mirror async hold-and-merge logic in sync __next__ so context_management is attached to the final merged message_delta when stop_reason and usage arrive in separate chunks Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic/messages): apply context_management on sync path; clear held stop_reason chunk in async iterator - Sync `anthropic_messages_handler` was silently dropping the `context_management` kwarg via `ANTHROPIC_ONLY_REQUEST_KEYS` after the polyfill was moved into the async handler. Bridge to the async dispatcher with `run_async_function` so `litellm.messages.create()` callers keep working (regressed e.g. `clear_tool_uses_20250919`). - In the streaming iterator's `__anext__` `StopIteration` handler, clear `self.holding_stop_reason_chunk` after capturing it (matches `__next__`) so a subsequent call doesn't re-emit the same chunk. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(bugfixes): bedrock None context_mgmt; stream per-instance queue; sync polyfill; trailing-chunk passthrough Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic): silently drop trailing chunks after usage; remove dead _polyfill_result key - streaming_iterator: in sync __next__, after the usage chunk has been merged and emitted, silently consume any trailing provider events via 'continue' instead of forwarding them through the queue. Trailing chunks would translate to content_block_delta or message_delta and violate Anthropic SSE ordering after the final message_delta. The async __anext__ already drops these via 'if not self.queued_usage_chunk:' gating, so this aligns sync and async behavior. - handler: drop unused '_polyfill_result' from ANTHROPIC_ONLY_REQUEST_KEYS. PolyfillResult is passed as an explicit arg to the adapter methods, never through extra_kwargs, so the entry was dead code. Co-authored-by: Yassin Kortam <yassin@berri.ai> * refactor(anthropic): extract usage-merge helper; guard empty slice-only compaction result - Extract the duplicated hold-and-merge usage logic from the sync __next__ and async __anext__ paths into a shared _merge_usage_into_held_stop_reason_chunk helper so the subtle cache-token / context_management attachment lives in exactly one place. - In the compact_20260112 slice-only path, fall back to _select_last_user_question when _strip_compaction_blocks produces an empty list (e.g. messages ending on an assistant turn whose only content was the compaction block) so the downstream API never receives an empty messages array. Co-authored-by: Yassin Kortam <yassin@berri.ai> * refactor(anthropic/context_management): streaming iterator compaction fixes and compact polyfill improvements - Extract usage-merge helper; guard empty slice-only compaction result - Silently drop trailing chunks after usage; remove dead _polyfill_result key - Fix bedrock None context_mgmt; stream per-instance queue; sync polyfill; trailing-chunk passthrough - Apply context_management on sync path; clear held stop_reason chunk in async iterator - Fix post-compaction question selection, system type, sync stream merge - Skip tool_result-only user turns; bedrock: elif for context_management - Add streaming iterator compaction test suite Co-authored-by: Cursor <cursoragent@cursor.com> * revert(html): restore flat .html naming in _experimental/out Reverses the accidental rename from .html → /index.html introduced in 15ea941fbe. All 35 files moved back to their original flat paths so the directory structure matches litellm_internal_staging. Co-authored-by: Cursor <cursoragent@cursor.com> revert(config): restore proxy_server_config.yaml to litellm_internal_staging Co-authored-by: Cursor <cursoragent@cursor.com> * Fix: skip client compaction pre-processing when compact_20260112 polyfill will run The _prepare_context_managed_request helper unconditionally applied apply_client_compaction_block_history before invoking the polyfill. When the request also configured a compact_20260112 spec, that pre-processing consumed the client-sent compaction block and collapsed the message history to just the latest user question, starving the polyfill of conversation context. The polyfill's own Phase A (_slice_around_compaction_block) already handles client compaction blocks correctly and inspects the full post-compaction tail for the token-threshold check, so the pre-processing is both redundant and destructive in this case. Now the pre-processing only runs when no compact_20260112 polyfill spec will execute (no spec, drop_params on, or only non-compact edits like clear_tool_uses_20250919). Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic): plug compaction-block leak + iteration-usage gaps in streaming adapter - handler: when polyfill_will_run skipped client-history pre-processing and the polyfill ultimately returned None (best-effort swallow on unexpected error), apply the slice-only fallback before returning so Anthropic-specific 'compaction' content blocks don't leak to non- Anthropic backends that would reject them. - streaming_iterator: precompute will_merge_into_held so we don't pass applied_edits into the translator when the resulting processed_chunk will be discarded by the held stop-reason merge path. - streaming_iterator: augment processed_chunk with iterations usage in the holding_chunk branch (sync and async) for parity with the other emission branches; ensures usage.iterations is attached on the rare message_delta-reaches-holding_chunk path. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic): correct streaming usage iteration + translate tools for token counting - streaming_iterator: skip the trailing "message" iteration entry in the final message_delta when the held stop_reason chunk carries placeholder zero usage (no separate usage chunk arrived). Reporting zero tokens was misleading and inconsistent with the non-streaming path which always has real usage data. - streaming_iterator: drop two redundant type checks inside branches that are already guarded by an outer message_delta type check. - compact._count_effective_tokens: translate Anthropic-shaped tools (input_schema) to OpenAI shape before passing to litellm.token_counter so threshold checks aren't skewed by tokenizer paths that expect the OpenAI tool wrapper. Co-authored-by: Yassin Kortam <yassin@berri.ai> * Fix lint * fix(anthropic): plug content drop, compaction SSE shape, and compaction leak - Sync streaming __next__ no longer drops a buffered holding_chunk when the usage-merge path has already fired. Restoring the prior unconditional flush behavior preserves provider-emitted content (the SSE-ordering nit of a trailing content delta is preferable to silent content loss). - compaction content_block_start now carries the full block shape ({"type": "compaction", "content": ""}) to match the text-block pattern and Anthropic's native streaming shape, so clients that key off content_block_start see the field. - apply_compact_20260112 now slices around / strips compaction blocks before the opt-in gate check. Previously, when summary_model was not configured the editor returned the raw messages, leaking Anthropic-only compaction content blocks to non-Anthropic providers that reject them. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic): resolve mypy types in context management polyfill Use AppliedEdit and CompactionBlock consistently in the dispatcher and streaming adapter. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(anthropic): flush held content chunk in async streaming path Mirror the sync __next__ behavior: always flush a buffered holding_chunk after the stream ends, even when usage was already merged + emitted. Previously the async __anext__ kept the flush inside the 'if not self.queued_usage_chunk:' guard, silently dropping the last content delta on the proxy's primary path. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic adapter): correct sync streaming, surface polyfill failures, decouple sync path from proxy router - translate_completion_output_params_streaming: add is_async flag so the sync handler returns Iterator[bytes] instead of an unusable AsyncIterator. Async callers keep the existing behavior via the default is_async=True. - _run_polyfill_if_enabled: when the polyfill crashes and the spec requested non-compact edits (e.g. clear_tool_uses_20250919), raise an AnthropicContextManagementError instead of silently returning None so those edits are not dropped without an error surface. The compaction-block-slicing safety net remains for compact-only specs. - anthropic_messages_handler (sync): stop auto-attaching the proxy llm_router. run_async_function bridges to a new thread's event loop; reusing the proxy's loop-bound httpx clients there causes 'Event loop is closed' errors. The summary editor falls back to litellm.acompletion when llm_router is None. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: address bug detection findings in token counter and streaming iterator - token_counter: guard against non-dict 'function' field in tool dicts and skip tools missing a name to avoid emitting 'type None = ...' which would produce inaccurate token counts. - streaming_iterator: change sync __next__ generic-error path to raise StopIteration (was StopAsyncIteration), so sync iteration cleanly stops. - streaming_iterator: centralize context_management attachment so the held-stop_reason direct-flush path defensively re-attaches applied_edits to match the merge path's guarantee. Co-authored-by: Yassin Kortam <yassin@berri.ai> * Fix lint * fix: correct COMPACT_MIN_TRIGGER_TOKENS to 50_000 Co-authored-by: Yassin Kortam <yassin@berri.ai> * Fix lint * Fix lint * Fix lint * fix(compact): reduce to last user question when summary_model not configured but prior compaction block exists Aligns the summary_model_not_configured path with the under-threshold and client-compaction-block paths, which both reduce post-compaction messages to just the latest user question so the downstream provider doesn't get the summary on system prefix AND the full post-compaction history. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact): forward caller system prompt to summary model call The default summarization instructions reference "the initial task above" and "the raw history above", but the system prompt that holds that task was not being forwarded to the summary model. The summary call now prepends an OpenAI-shaped system message translated from the original Anthropic-shaped system (str or content-block list) so the summarizer has the agent role and initial task in scope. * fix(compact_20260112): set default max_tokens and merge prompt when last turn is user - Set COMPACT_SUMMARY_MAX_TOKENS default for the summary call so providers like Anthropic (which require max_tokens) don't silently fail and degrade to summary_call_failed. - When the trailing translated message is already a user turn, merge the summarization prompt into it instead of appending a second user turn. Avoids consecutive role=user messages that strict providers reject. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic adapter): move current_content_block_start to __init__ Move the default TextBlock dict from a class-level attribute to __init__ so concurrent stream instances don't share the same mutable dict. The class-level default could be mutated in-place via tool_block['name'] = original_name in _should_start_new_content_block, leaking state across streams. This mirrors the existing fix already applied to chunk_queue. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact_20260112): surface error states + strip tool_result blocks in last user question applied_edits_for_response() now includes compact_20260112 edits that carry an error field (summary_model_not_configured, summary_call_failed, summary_extraction_failed) so clients and operators can see why compaction was requested but not applied. _select_last_user_question() now strips tool_result blocks from mixed [tool_result, text] turns rather than passing them through as-is. After compaction the paired tool_use assistant turn no longer exists, so forwarding tool_result blocks translates to orphaned role=tool messages on non-Anthropic providers and produces a 400. * fix(compact_20260112): carry prior compaction summary into Phase C summary call When a request already contains a compaction block, Phase A slices `effective_messages` to the turns since that block. Previously Phase C passed the original `system` to the summary model, so multi-round compaction silently dropped accumulated history each time the polyfill fired. Pass `augmented_system` (original system + prior summary prefix) so the summary model can produce a comprehensive summary that incorporates both the prior round's context and the current slice. `summarized_system` for the downstream call stays built from the original `system` + new `summary_text`. * refactor: delegate handler spec normalization to dispatcher _normalize_spec_edits in adapters/handler.py duplicated the spec-shape normalization already implemented by _normalize_spec in context_management/dispatcher.py. The two could drift: a change in one (e.g. supporting a new spec shape) without the other would cause the handler's polyfill_will_run prediction to disagree with the dispatcher's actual behavior, breaking the client-history pre-processing skip. Have the handler delegate to the dispatcher's _normalize_spec while keeping handler-specific concerns (drop_params short-circuit, swallow mapping exceptions) at the wrapper level. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact_20260112): surface warning-only applied edits in response `applied_edits_for_response()` previously hid `compact_20260112` edits when they had only warnings (no compaction block, no error). This dropped diagnostically important warnings such as `unsupported_trigger_type_X_using_input_tokens` and `pause_after_compaction_ignored` whenever the conversation was under the trigger threshold. Operators now see these warnings in the response. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix: address two low-severity context_management edge cases - streaming_iterator: keep `sent_content_block_finish` in sync with the compaction block's emitted start/delta/stop lifecycle and reset it when the next text block's start is queued. - bedrock _map_context_management_param: match dispatcher `_normalize_spec` behavior — only run the OpenAI→Anthropic mapper on list inputs; pass dict inputs through unchanged so already-Anthropic-format values aren't silently dropped. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact_20260112): use beta-header constant; require type discriminator; skip sync bridge when idle - bedrock: replace hardcoded "compact-2026-01-12" beta string with ANTHROPIC_BETA_HEADER_VALUES.COMPACT_2026_01_12.value in both Converse (_filter_context_management_for_bedrock_converse) and Invoke (anthropic_claude3) compact-edit handlers. - types: mark the "type" discriminator as Required[...] on the new CompactionBlock and UsageIteration TypedDicts so the discriminator is not silently optional under total=False. - adapters/handler: short-circuit the sync /v1/messages adapter path before spawning the run_async_function worker-thread event loop when the request has no context_management spec and no client-sent compaction block in the message history. Test plan: - uv run pytest tests/test_litellm/llms/anthropic/experimental_pass_through/ tests/test_litellm/llms/bedrock/test_converse_context_management.py -q (370 + 10 = 380 passed) - uv run pytest tests/test_litellm/llms/azure_ai/claude/test_azure_anthropic_transformation.py tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_partner_models_anthropic_transformation.py -k compact (3 passed) * fix(compact_20260112): include system prompt tokens in threshold check The threshold check in Phase B previously counted only message tokens and the compaction-block content, omitting the system prompt entirely. When the system carried a prior compaction summary (via _augment_system_with_summary) or was otherwise large, the threshold could fire later than intended, allowing the conversation to exceed the model's context window before compaction activated. _count_effective_tokens now also counts the (augmented) system prompt text. The caller passes compaction_block=None when augmented_system already includes the prior summary, to avoid double-counting. Co-authored-by: Yassin Kortam <yassin@berri.ai> * Fix SSE ordering and compaction state machine bugs in AnthropicStreamWrapper - Suppress holding_chunk flush after final message_delta has been emitted (queued_usage_chunk == True) so a trailing content_block_delta cannot follow message_delta, which strict Anthropic SDK clients may reject. When usage has not yet been merged, flush the holding_chunk before the held stop_reason chunk so SSE ordering remains correct. - Replace _queue_compaction_block_events with _next_compaction_event, emitting the compaction start/delta/stop events one at a time. The state machine flags (sent_content_block_finish) and content block index now advance atomically with the terminal stop event actually being returned to the caller, eliminating the transient inconsistent state where flags say the block is finished while its stop event is still buffered. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact_20260112): enforce parent key/team allowlist on summary model The compact_20260112 polyfill summary subrequest used llm_router.acompletion directly, bypassing the proxy auth checks that gate model access for the parent key/team. A caller whose key/team was not authorized for the configured context_management_summary_model could still cause the proxy to invoke that model and return its output as a compaction block. Pull the parent's UserAPIKeyAuth out of litellm_metadata in the handler, thread it through the dispatcher into apply_compact_20260112, and gate the summary call on _can_object_call_model for both key-level and team-level allowlists. Failures land as applied_edits[0].error = summary_model_access_denied without raising. SDK callers (no UserAPIKeyAuth) remain unaffected. * fix(compact_20260112): distinguish access-denied from transient errors; greedy summary regex - _check_summary_model_access now catches ProxyException explicitly for access denials and logs unexpected exceptions separately. Both still fail closed, but operators can now tell a denied key/team apart from a router internal raising during the check. - _SUMMARY_TAG_RE switches from non-greedy to greedy so a stray </summary> inside the model's summary content no longer silently truncates the captured text. * fix(compact_20260112): type object_type as Literal for mypy * fix(compact_20260112): attribute summary subcall spend to parent key/team The compact_20260112 polyfill summary subrequest propagated metadata via the Anthropic-shape `metadata` parameter, which only carries `user_id`. The proxy auth fields used for spend attribution (`user_api_key`, `user_api_key_team_id`, `litellm_call_id`, ...) live in `data["litellm_metadata"]`. As a result, summary subcalls landed on the router with an empty propagated metadata and the resulting tokens were not attributed to the caller's key/team budget. Rename the polyfill chain's spend-propagation parameter to `litellm_metadata` and pull it from `kwargs["litellm_metadata"]` in both the async and sync handlers, so the post-call hooks see the parent key/team and bill the summary tokens accordingly. Add an `_extract_proxy_litellm_metadata` helper and refactor `_extract_user_api_key_auth` to use it. * chore(anthropic adapters): remove unused _extract_user_api_key_auth helper Co-authored-by: Yassin Kortam <yassin@berri.ai> * chore(compact_20260112): non-greedy summary regex; use COMPACT_EDIT_TYPE in bedrock filter - Make _SUMMARY_TAG_RE non-greedy so a response with multiple <summary> blocks captures only the first complete block. - Replace the hardcoded 'compact_20260112' literal in _filter_context_management_for_bedrock_converse with the shared COMPACT_EDIT_TYPE constant. * fix: bug fixes from PR review - streaming_iterator: don't set sent_content_block_finish during compaction block lifecycle; that flag tracks the regular text/tool_use/thinking block state machine, conflating the two leaks bad state to introspection paths. - compact._call_summary_model: send propagated proxy auth/spend-attribution fields as 'litellm_metadata' instead of 'metadata' so the router's post-call hooks attribute summary tokens to the caller's key/team budget. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(anthropic-streaming): insert content_block_stop between held delta and final message_delta When the stream exhausts with both `holding_chunk` (a content_block_delta) and `holding_stop_reason_chunk` (a message_delta) buffered, the after-loop cleanup previously emitted them back-to-back, producing the invalid Anthropic SSE sequence `content_block_delta -> message_delta`. Insert a `content_block_stop` between them in both the sync `__next__` and async `__anext__` paths so the emitted ordering remains `content_block_delta -> content_block_stop -> message_delta`. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(compact_20260112): propagate allowed_model_region to summary subrequest The router enforces region restrictions by reading allowed_model_region from top-level request kwargs (Router._common_checks_available_deployment), but the compact_20260112 summary subrequest only forwarded litellm_metadata. A region-restricted caller could trigger compaction and have their conversation summarized by a deployment outside the permitted region. Extract allowed_model_region from user_api_key_auth and pass it through _call_summary_model as a top-level kwarg so the router applies the same region constraints the parent request would. * fix(anthropic adapter): emit content_block_stop before held message_delta in drain paths Co-authored-by: Yassin Kortam <yassin@berri.ai> * feat(context_management): configurable summary max_tokens; surface ignored knobs - compact_20260112: read summary max_tokens from general_settings (context_management_summary_max_tokens) so operators can fit the chosen summary model's output budget; falls back to the compiled default for missing or invalid values. - clear_tool_uses_20250919: log unsupported knobs at warning level (was debug, which silently dropped misconfiguration) and surface them as warnings on the AppliedEdit so clients see what was ignored. * fix(compact_20260112): bound _call_summary_model with timeout A slow or unresponsive summary model previously hung the parent /v1/messages request with no escape hatch. Pass a 60s timeout on the litellm.acompletion / llm_router.acompletion subrequest; on timeout the existing summary_call_failed path forwards the request without compaction rather than blocking indefinitely. * fix(compact_20260112): preserve post-compaction tail on slice-only path When a prior compaction block is present and the request is under threshold, the polyfill was reducing downstream messages to just the latest user question. The prior summary only covers turns before the compaction block, so dropping the post-compaction tail silently lost recent context — a multi-turn conversation that stayed below the threshold would arrive at the model with no memory of any turn after the prior compaction. Forward the already-stripped post-compaction tail unchanged on both the under-threshold path and apply_client_compaction_block_history. Fall back to _select_last_user_question only when the strip leaves nothing for the downstream call to answer. * fix(compact_20260112): enforce user/project/team-member model scopes on summary subrequest The local gate previously only checked the parent key's and team's allowed-model lists. A caller restricted by a personal user, project, or per-team-member allowed_models scope could still trigger the configured summary model and receive its <summary> output as a compaction block, because llm_router.acompletion bypasses the proxy common_checks path. Extend _check_summary_model_access to also load the user_object, project_object, and team_membership and run the matching allowlist check at each scope before invoking the summary model. * fix(compact_20260112): enforce summary model per-model budget and propagate budget metadata * fix(compact_20260112): forward post-compaction tail when summary model unconfigured * fix(anthropic endpoints): run failure hook on 500-level context management errors * fix(compact_20260112): enforce summary model rate limit before summary call * fix(compact_20260112): propagate end-user/project budget scope to summary call --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-30 09:20:05 -07:00
Yassin Kortam	3be3c1dea1	feat(otel): add team_metadata, http.route, and model names to inference spans (#29319 )	2026-05-30 00:54:30 -07:00
ryan-crabbe-berri	37e6e2da1c	test(e2e): assert internal-user navbar identity is scoped to that user (#29077 ) * test(e2e): assert internal-user navbar identity is scoped to that user The existing login.spec.ts only checks the admin's navbar identity. This adds the symmetric check for the internal user — verifying the account button + dropdown surface the internal user's email, id, and role, and that no admin-scoped values leak through. * test(e2e): harden navbar identity test per review feedback Locate the user dropdown panel by a data-testid on the popupRender div instead of Ant Design internal + Tailwind class names, so styling refactors no longer risk breaking the identity-scoping assertions. Source the seeded user emails/ids from shared constants (match seed.sql) instead of hardcoding them inline.	2026-05-30 00:29:30 -07:00
ryan-crabbe-berri	892838963c	test(e2e): cover Internal User create-key flow when in no teams (#29083 ) * test(e2e): cover Internal User create-key flow when in no teams The seeded e2e-internal-user is in two teams, so the "no team" branch of the Create Key modal — where the team dropdown must render empty — was unreachable. Seeds a noteam@test.local user and adds a spec that logs in fresh, opens the modal, and asserts the dropdown has zero options. * test(e2e): harden no-team dropdown assertion + add with-teams counterpart Replace the one-shot count() check with a settled-empty assertion: wait for the dropdown's loaded "No teams found" state before asserting zero options, so the test can't pass on a transient empty frame while the team-options request is still in flight. Add internalUserWithTeams.spec.ts as the differential partner; it logs in as the seeded e2e-internal-user (two team memberships) and asserts the dropdown lists exactly those teams. Without it, the no-team spec's zero-options assertion would still pass against a regression that empties the dropdown for every user.	2026-05-30 00:26:28 -07:00
yuneng-jiang	12d29a38a7	tests(proxy_server): surface current behavior in tests (#29309 ) * test(proxy/proxy_server): pin forwarding routes (PR2) (#28887) * test(proxy): pin proxy_server.py forwarding-route behavior PR2 of the proxy_server.py behavior-pinning project: fills the 12 forwarding-route test files added by the harness PR with happy + error pins for all 52 LLM-facing routes (models, chat/completions, completions, embeddings, moderations, audio, assistants, threads, utils, model-info, model-metrics, queue). Every happy-path test asserts the full response dict via normalize() so the gate enforces real shape pinning rather than status codes. * test(proxy): drop task-plumbing comments from PR2 test files * test(proxy): tighten PR2 error-path status-code pins Apply the same review feedback Greptile gave on PR1 (#28856) and PR3 (#28850) to PR2's forwarding-route tests: - Replace permissive `>= 400` / `in (X, Y)` status assertions with the exact 500/405 the handler actually returns, so a regression that silently shifts the code now fails the pin. - Add a body-presence check alongside each tightened status assertion to satisfy _pin_check.py's no-status-only rule. --------- Co-authored-by: Claude <noreply@anthropic.com> * test(proxy): pin proxy_server.py non-route surface behavior (PR1) (#28856) * test(proxy): pin proxy_server.py non-route surface behavior (PR1) Fills the 7 PR1 placeholder files under tests/test_litellm/proxy/proxy_server/ with behavior pins for the non-route surface of proxy_server.py: lifecycle/init/shutdown, ProxyConfig class methods, DB-overlay config scrubbers, spend counters, background-health helpers, OpenAPI customization, exception handlers, and streaming-generator helpers. 233 tests cover 101 pin-list symbols (1+ happy + 1+ error each). New-tests-only coverage on litellm/proxy/proxy_server.py: 32.80% line / 20.91% branch (PR1 gate: 25% line / 18% branch). Full directory runs in ~22s with -n 4. Plan: https://www.notion.so/Plan-Pin-proxy_server-py-behavior-2026-05-25-36c43b8acdab81ee845fd5365128a2fc * test(proxy): address Greptile review comments on test_lifecycle.py - test_initialize_signature_is_async_with_expected_params: hard-code expected_param_count so a signature change actually trips the gate (previously both sides of the comparison were len(sig.parameters)). - test_check_request_disconnection_invalid_when_connected_times_out: patch asyncio.sleep so the test no longer spins for ~1.2 s of real wall-clock; timeout lowered to 0.05 s. --------- Co-authored-by: Claude <noreply@anthropic.com> * test(proxy/proxy_server): pin control-plane routes (PR3) (#28850) * test(proxy/proxy_server): pin misc routes (PR3, partial) Adds happy + error tests for the misc control-plane routes: GET /, /routes, /adaptive_router/state, /get_logo_url, /get_image, /get_favicon. Also gitignores .pin_list.txt (used by the pin gate). * test(proxy/proxy_server): pin login/SSO routes (PR3, partial) Adds happy + error tests for the 5 login/SSO control-plane routes: GET /fallback/login, POST /login, POST /v2/login, POST /v3/login, POST /v3/login/exchange. Mocks authenticate_user and create_ui_token_object at their imported location. * test(proxy/proxy_server): pin onboarding routes (PR3, partial) Adds happy + error tests for the 2 onboarding control-plane routes: GET /onboarding/get_token, POST /onboarding/claim_token. Wires a MagicMock async context manager for prisma_client.db.tx() and signs the onboarding JWT with the patched master_key. * test(proxy/proxy_server): pin model_cost_map reload routes (PR3, partial) Adds happy + error tests for the 5 model-cost-map control-plane routes: POST /reload/model_cost_map, POST\|DELETE\|GET /schedule/model_cost_map_reload(/status), GET /model/cost_map/source. Attaches litellm_config to mock_prisma per-test (the table is not in the default _PRISMA_TABLES fixture). * test(proxy/proxy_server): pin anthropic_beta_headers reload routes (PR3, partial) Adds happy + error tests for the 4 anthropic-beta-headers control-plane routes: POST /reload/anthropic_beta_headers, POST\|DELETE\|GET /schedule/anthropic_beta_headers_reload(/status). Stubs db.litellm_config (not in default _PRISMA_TABLES) and monkeypatches reload_beta_headers_config so no network calls fire. * test(proxy/proxy_server): pin invitation routes (PR3, partial) Adds happy + error tests for the 4 invitation control-plane routes: POST /invitation/new, GET /invitation/info, POST /invitation/update, POST /invitation/delete. Patches _user_has_admin_privileges / _user_has_admin_view to avoid extensive get_user_object mocking. * test(proxy/proxy_server): pin config CRUD routes (PR3, partial) Adds happy + error tests for the 8 config-CRUD control-plane routes: POST /config/update, POST\|GET /config/field/update\|info, GET /config/list, POST /config/field/delete, POST /config/callback/delete, GET /get/config/callbacks, GET /config/yaml. Attaches litellm_config to mock_prisma per-test. * test(proxy/proxy_server): tighten pin assertions per review - test_routes_misc.py: `b"" in response.content` is trivially true; replace with `len(response.content) > 0` so an empty 405 body trips the gate. - test_routes_login_sso.py: `len(response.content) >= 0` is trivially true; tighten to `> 0`. - test_routes_anthropic_beta.py: replace brittle string-literal checks on the serialized JSON (`'"interval_hours": 12' in payload`) with `json.loads` + dict access so the assertion survives any serializer spacing. - test_routes_config.py: `assert status_code in (404, 500)` was too permissive; the handler re-raises HTTPException(404) verbatim, so pin 404 strictly. --------- Co-authored-by: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>	2026-05-29 23:17:24 -07:00
Yassin Kortam	d82eb33a60	feat(otel): typed semconv-aligned OpenTelemetry instrumentation (#28909 )	2026-05-29 23:15:27 -07:00
Mateo Wang	581c30f1e8	[internal copy of #29089 ] fix: duplicate claude code traces (#29311 )	2026-05-29 22:23:24 -07:00
ryan-crabbe-berri	c754c560dd	fix(proxy): link passthrough success spans to the SERVER root OTEL span (#29315 ) * fix(proxy): link passthrough success spans to the SERVER root OTEL span Passthrough requests never wired user_api_key_dict.parent_otel_span into the logging metadata, so on success the litellm_request span orphaned into its own trace and the "Received Proxy Server Request" root span was never ended. Setting it once in _init_kwargs_for_pass_through_endpoint fixes both the non-streaming and streaming paths, since update_environment_variables copies that metadata onto the logging object's model_call_details, which is what the OTEL handler reads. Resolves LIT-3443 * fix(proxy): set passthrough parent span after client metadata merge Greptile flagged that litellm_parent_otel_span was assigned before the _metadata.update() calls that merge request-body metadata, so a client body mirroring the internal key could overwrite the real span with a JSON scalar and null the fix for that request. Move the assignment after the merge and add a regression test that fails on the old ordering. * fix(proxy): also set user_api_key after client metadata merge Per Greptile, user_api_key had the same clobber window as the parent span: a passthrough request body mirroring the key could overwrite the authenticated value in the logged metadata. Move it into the same post-merge block and add a deterministic contract test asserting both internal keys resist client-supplied metadata.	2026-05-29 21:30:45 -07:00
Sameer Kankute	af17400c38	feat(a2a): well-known agent-card discovery + LangGraph Platform mode (#28860 ) * feat(a2a): well-known agent-card discovery + LangGraph Platform mode Adds a registration-time discovery flow so admins can paste an upstream agent URL, see its skills/capabilities, pick what to expose, and have the proxy front it with a LiteLLM-shaped agent card. Backend (new litellm/proxy/a2a/ module): - fetch_well_known_card walks /.well-known/agent-card.json, /.well-known/agent.json, /agent.json by default. langgraph_platform mode hits the canonical path with ?assistant_id=<id> (LangGraph serves one shared endpoint per deployment). - merge_agent_card overlays LiteLLM overrides on the upstream card: drops upstream url, forces protocolVersion=1.0, replaces securitySchemes with LiteLLMKey bearer, emits supportedInterfaces pointing at the proxy, filters capabilities to a small allowlist, strips non-v1.0 fields. - POST /v1/a2a/discover returns the raw upstream card (admin-only) so the UI can render skills/capabilities for selection. - create/update/patch agent endpoints pre-generate the agent_id and run merge_agent_card before storing, so DB.agent_card_params already embeds the proxy-fronted URL. UI (ui/litellm-dashboard): - New AgentCardDiscovery component with a parent-driven plan: discovery_mode + params + display URL. For LangGraph the parent composes (api_base, assistant_id); for pure A2A it uses the url field. Component hides the manual URL input when the parent drives. - add_agent_form wires discovery for every non-custom agent type and overlays the user's selections onto agent_card_params at submit, fixing the bug where dynamic agent forms ignored discovery picks. Completion-bridge fixes (paired): - Add kind: "message" to A2A response messages and unwrap result so it's a Message directly per spec (matches a2a SDK SendMessageResponse validation). - Forward A2A metadata to LangGraph runs via extra_body.metadata. * fix(a2a): preserve agent url, fix streaming chunk envelope, and protect forwarded metadata - Streaming chunk: move final out of the message object into the result envelope per the A2A spec. - Agent card merge: keep upstream url on the stored card so the runtime invocation path can locate the upstream backend; the public well-known endpoint already rewrites this field to the proxy URL before exposing it to clients. - Completion bridge: apply A2A forward metadata after merging litellm_params so an agent-configured extra_body cannot overwrite the forwarded metadata. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): fix legacy streaming chunk, agent card test, and metadata merge - providers/litellm_completion: move 'final' out of the message object into the result envelope per the A2A spec (matches the bridge fix). - agent endpoints test: the runtime invocation path now preserves the top-level 'url' on the stored card, so update the assertion to match. - completion bridge metadata: when forwarding A2A metadata via extra_body.metadata, merge into any existing extra_body.metadata instead of replacing it, so an agent-configured metadata block is preserved (forward metadata still wins on key conflicts). Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): remove dead duplicate transformation dir; drop SSRF-prone headers field from /v1/a2a/discover Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): revert accidental html→index.html rename from afc8b10f The commit afc8b10f bundled real A2A fixes alongside an unintended re-introduction of the /index.html layout that `8513d7fc` had already reverted. Restore all 35 static-export pages back to the flat .html structure that matches the upstream main branch. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(a2a): address PR review comments UI: - Auto-trigger discovery when connection details are filled; remove the "Use these selections" button (selection syncs live to parent, user just clicks Next). - Edit Settings: auto-discover upstream card on open; cross-check with DB-stored card so only already-saved skills/capabilities are pre-ticked. - Extract shared buildDiscoveryRequest + selectionsFromSavedAgentCard helpers into agent_discovery_utils.ts so both add and edit flows share the same logic. Backend: - agent_card.py: rename the proxy security requirements field from the non-standard ``securityRequirements`` to the spec-correct ``security`` key (matches AgentCard TypedDict and A2A/OpenAPI convention). - agent_card.py: remove ``securityRequirements`` from _ALLOWED_TOP_LEVEL_KEYS. - endpoints.py: _build_merged_agent_card now forwards agent_name and description from the request so the stored card reflects the admin- supplied name, not just whatever the upstream card advertised. - utils.py: remove overly-broad ``or "parts" in result`` fallback; use ``kind == "message"`` check only to avoid false matches on future result types that happen to include a ``parts`` field. - test_agent_card.py: update assertions to expect ``security`` key. Co-authored-by: Cursor <cursoragent@cursor.com> * fix: restore Next.js metadata directories to match upstream main The previous revert removed __next.* metadata subdirectories from git tracking entirely, but these directories exist on origin/main alongside the flat .html files. Restore them via checkout from origin/main so the PR diff only reflects actual code changes. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(a2a): drop dead headers option from discoverAgentCardCall The backend /v1/a2a/discover endpoint no longer accepts a headers field (removed in 78591b2 for SSRF safety), so any headers passed through DiscoverAgentCardOptions were silently discarded by the API request body. Remove the field and the conditional that copies it onto the request body. * fix(a2a): skip merge for non-A2A agents and align pydantic-ai result shape The agent create/update/patch handlers ran the LiteLLM-fronting merge unconditionally, so registrations that did not provide agent_card_params still ended up with a synthesised card carrying supportedInterfaces, securitySchemes, and default skills. Gate the merge on a non-empty agent_card_params so plain chat/LLM agents stay non-A2A in the registry. Also move kind: 'message' inside the a2a_message dict in the Pydantic AI non-streaming response so its construction matches the completion bridge rather than spreading kind on top of a separate dict. * Fix three bugs in A2A discovery flow 1. UI: Stabilize discoveryRequest deps to avoid redundant /v1/a2a/discover API calls. The parent rebuilds the discoveryRequest object on every form keystroke, so depend on primitive proxies (discovery_mode + serialized params) rather than the object identity. Read the actual object via a ref inside handleDiscover. 2. Backend: Route the well-known card fetch through async_safe_get so the admin /v1/a2a/discover endpoint can't be used to probe private/loopback addresses or cloud metadata endpoints. SSRFError is a separate handled case so it surfaces a clear AgentCardDiscoveryError. 3. Streaming: Make openai_chunk_to_a2a_chunk emit the same flat result shape as the non-streaming response (kind/role/parts/messageId at the result level), with envelope-level 'final' added. Matches the existing create_artifact_update_event pattern and lets consumers read a uniform result shape across streaming and non-streaming. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a/ui): include savedAgentCard in handleDiscover deps The previous deps list omitted savedAgentCard, so handleDiscover (and the resetSelections it calls) kept the closure's saved-card value even after the parent refetched the agent. Clicking 'Re-discover' would then pre-select skills against stale data. Adding savedAgentCard to the deps array forces the callback to refresh whenever the saved card changes. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): align pydantic-ai test + docstring with direct-Message result shape The non-streaming A2A response was changed so that `result` is the Message itself (kind="message"), per spec / SendMessageResponse. Update the PydanticAITransformation._transform_to_a2a_response test and docstring that still described the old `result.message` envelope so internal consumers match the producer. * fix(a2a): strip additionalInterfaces and let configured metadata win over A2A request - merge_agent_card no longer carries upstream additionalInterfaces through; storing those alternate URLs would let authenticated agent callers reach the backend directly and bypass proxy auth/budget/logging. - apply_forward_metadata_to_completion_params now layers client-supplied A2A metadata UNDER any agent-owner-configured extra_body.metadata, so server-set run metadata stays authoritative on key conflicts. * fix(agents): merge agent card even when agent_card_params is an empty dict Treat an explicitly provided empty agent_card_params ({}) as 'card provided but empty' instead of 'no card', so the LiteLLM-fronting merge still injects securitySchemes, supportedInterfaces, and protocolVersion. Without this, the well-known endpoint could serve a bare card with only a rewritten url, advertising no authentication to A2A clients. Co-authored-by: Yassin Kortam <yassin@berri.ai> * refactor(a2a): drop dead openai_chunk_to_a2a_chunk helper The deprecated single-chunk helper has no callers anywhere in the codebase — the streaming path emits proper A2A events via create_task_event / create_status_update_event / create_artifact_update_event in handler.py. Removing the dead method also eliminates the inconsistency where the unused chunk inlined the envelope-level final flag inside the Message result. * fix(a2a): scope a2a lazy-feature so it doesn't subsume /v1/a2a/discover - _lazy_features.py: use /a2a prefix + /message/send suffix for the a2a feature so a request to /v1/a2a/discover no longer triggers the a2a_endpoints module to load alongside a2a_registration. - agent_endpoints/endpoints.py: drop the no-op description override kwarg from _build_merged_agent_card and its three call sites. The upstream card's description is already preserved by merge_agent_card's deepcopy, so passing it explicitly did nothing. * style: black-format litellm/a2a_protocol/litellm_completion_bridge/transformation.py * fix: address PR bugfix review for a2a discovery + metadata forwarding - agent create form (add_agent_form.tsx): drop the skills.length > 0 guard so an admin can clear all discovered skills during creation, matching the edit form's overlay behavior (consistency between create and edit flows). - agent_card_discovery.tsx: stop including savedAgentCard in the handleDiscover useCallback deps. Read it via a ref inside resetSelections instead, so a parent-driven re-render that hands us a new savedAgentCard object reference (e.g. a background refresh of the agent record) does not recreate handleDiscover and re-fire the auto-discover effect, which would otherwise overwrite in-progress user edits in parent-driven mode (debounceMs = 0). - a2a_endpoints.invoke_agent_a2a: skip 'metadata' when moving litellm params off of A2A MessageSendParams into body. The A2A protocol defines params.metadata as a first-class request-level field, and the completion bridge's get_forward_metadata is supposed to merge it with message.metadata. Previously the proxy always stripped params.metadata before constructing MessageSendParams, so the params-level branch in get_forward_metadata was dead code in the proxy flow. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): return 404 from get_agent_card when agent has no card * fix(agents): apply discovery overlay uniformly on create and dedupe ALLOWED_CAPABILITY_KEYS - buildAgentData now applies overlayDiscoveredCardParams after every non-custom branch (a2a, use_a2a_form_fields, dynamic) so types with credential_fields no longer silently drop discovered skills, capabilities, input/output modes, provider, and icon/doc URLs on submit. Mirrors the edit flow in agent_info.tsx. - Export ALLOWED_CAPABILITY_KEYS from agent_discovery_utils and import it in agent_card_discovery so the rendering and selection-filtering logic share a single source of truth. Co-authored-by: Yassin Kortam <yassin@berri.ai> * ci(proxy-endpoints): wire tests/test_litellm/proxy/a2a into the shard The two new test files (test_discovery.py, test_agent_card.py) were not picked up by any pytest path, so their coverage never reached codecov and patch coverage fell below the auto target. * fix(ui): overlay discovered name/description in create flow for dynamic agents Mirror the edit-form overlay in agent_info.tsx so dynamic agent types (e.g. LangGraph) whose forms don't register name/description as Form.Items don't silently lose those discovery-panel edits on save. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(a2a): default merged agent card version, null-guard runtime URL lookup, scope discovery auto-fire to A2A types - merge_agent_card now defaults version to 1.0.0 when upstream omits it (A2A v1.0 schema requires the field). - invoke_agent_a2a guards against agent_card_params being None so plain chat agents routed via the A2A path return a JSON-RPC error instead of AttributeError. - buildDiscoveryRequest no longer falls back to any URL-shaped credential field for non-A2A agent types (Azure AI Foundry, Bedrock AgentCore, Vertex). Discovery only auto-fires for pure A2A and use_a2a_form_fields runtimes; the manual URL input remains available as an escape hatch. * fix(ui): extract overlayDiscoveredCardParams + debounce parent-driven discovery Two findings from greptile review: 1. `overlayDiscoveredCardParams` was copy-pasted between `add_agent_form.tsx` and `agent_info.tsx`. Move it to `agent_discovery_utils.ts` so the create and edit flows share the same overlay logic and there's only one place to update when discovered fields change. 2. `agent_card_discovery.tsx` used a zero-debounce path for parent-driven mode, which fires one discovery HTTP request per keystroke when an admin types into the parent form's URL / api_base / assistant_id fields (the parent rebuilds the plan from watched form values every render). Apply the same 400ms debounce uniformly. * fix(a2a): preserve discovery name edit, default discovery headers, sync url on re-discover - _build_merged_agent_card: prefer card-supplied name over agent_name so the discovery panel's editable 'Name (shown to API clients)' value is not silently overwritten by the internal identifier. - async_safe_get call in fetch_well_known_card: pass headers or {} to avoid TypeError({*None, 'Host': ...}) when URL validation is enabled in production (default). - agent_info handleApplyDiscoveredCard: set url: selection.upstream_url in fieldsToSet so re-discovery during edit refreshes the form's URL field for pure A2A agents (matches add_agent_form). Co-authored-by: Yassin Kortam <yassin@berri.ai> fix(a2a): scrub upstream url from /public/agent_hub cards Public agent_hub returned agent_card_params verbatim, exposing the retained upstream backend url to unauthenticated callers. Rewrite the url to the proxy /a2a/{agent_id} entrypoint on response, matching the behavior of the authenticated well-known agent-card endpoint, so the backend cannot be reached outside LiteLLM's auth, budget, and logging path. * fix(a2a): include suffix-matched routes in lazy warm openapi fragment --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-05-29 20:50:42 -07:00
Sameer Kankute	83fcacad08	fix(mcp): ignore stale ids on key save (#29128 ) * fix(mcp): ignore stale server ids during key permission validation Prevent virtual key save failures when object_permission still includes MCP server IDs that were deleted from the registry. The validator now drops stale IDs before team scope checks and adds coverage for stale-ID and active unauthorized-ID behavior. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): use DB find_many to detect stale server IDs, add tool-permission test Addresses greptile feedback on PR #29128: P1 – Race-condition / authoritative-signal concern: Extract _get_stale_mcp_server_ids() helper that performs a single DB find_many (LiteLLM_MCPServerTable) when prisma_client is available, making server-existence checks authoritative even during in-memory registry warm-up. Falls back to the in-memory registry only when no DB client is present (config-only deployments / unit tests). Pass prisma_client through both call sites in key_management_endpoints. P2 – Missing test coverage for mcp_tool_permissions: Add test_validate_stale_ids_in_mcp_tool_permissions_silently_dropped to confirm stale server IDs that appear only as keys in mcp_tool_permissions are also stripped without raising 403. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): also check in-memory registry when DB is present to avoid misclassifying config-file servers as stale Config-file MCP servers are never written to LiteLLM_MCPServerTable, so a DB-only query would classify them as stale and silently drop their IDs from the authorization check, allowing unauthorized key access. Fix: treat a server ID as stale only when it is absent from BOTH the DB and the in-memory registry (which holds config-file servers). Co-authored-by: Cursor <cursoragent@cursor.com> * fix(mcp): normalize server aliases on key save Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix: remove unused stale MCP helper and capture normalized object_permission on key generation Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(mcp): keep validate_key_mcp_servers_against_team stub in sync with return contract validate_key_mcp_servers_against_team now returns the (normalized) object_permission, and the key-generation helper assigns that return value back into the request data. The two key-generation tests stubbed the function with a bare AsyncMock, whose default MagicMock return value clobbered object_permission and skipped permission-record creation. Make the stubs pass object_permission through unchanged. * fix(mcp): preserve provided object_permission fields on key update The key-update path reconstructs data.object_permission from a full model_dump(), which marks every field as set. Downstream model_dump(exclude_unset=True) then emits models/blocked_tools/ search_tools as None, and those are non-nullable array columns, so the Prisma write fails whenever the UI submits object_permission with only a subset of fields populated (e.g. a TPM/RPM-only edit). Build the dict with exclude_unset=True so the normalized object_permission keeps the caller's original field set. --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>	2026-05-29 20:50:24 -07:00

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