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74 commits
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Devin AI
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63d7920f8b |
refactor: dedupe server_tool_use web search reads and type fresh test locals
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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tin-berri
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d8edfb69c2
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fix(proxy): derive auto-router health from its underlying models (#38174)
An auto_router deployment is a marker, not something a probe can contact, so
`_run_model_health_check` returns `{}` for it and it lands healthy whatever is
behind it. This derives its verdict from the models it actually resolves.
Rules and owners:
- `strategy_router_dependencies` is the single answer to "what does this router
call": tier, default, classifier and embedding names per router kind, aligned
with what init and the request path actually use.
- `_health_check_eligible` is the single probe-eligibility gate, applied to the
requested set and to the pool a router's dependencies are drawn from alike, so
an opted-out deployment cannot re-enter through a router that depends on it.
- `_resolved_deployment_ids` resolves names through `get_model_list`, the same
composition of alias, routing-group and wildcard channels a request uses.
- A dependency reds its router only when *every* deployment behind the name is
known unhealthy. A replica this run never judged, hidden from the caller or
opted out of health checks, can still serve what the dead one drops, so
partial evidence leaves the verdict green. Absent information never reds.
- Verdicts settle over rounds, because a marker never fails a probe of its own
and a parent whose tier is a red router must inherit that fault. Both sweeps
are bounded loops, so a router cycle terminates green.
- Dependency probes are added only on the targeted `/health?model_id=` path the
dashboard uses per deployment, and are dropped from the response.
Resolves LIT-6073
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Yassin Kortam
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6c0c91c5ad
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fix(team): serialize member_add, member_delete, and delete under the team's advisory lock (#37969)
* fix(proxy): make /team/member_delete's four cleanups atomic The team roster update, the user.teams update, the team membership delete, and the team-scoped verification token delete ran as four sequential writes with no transaction around them, so a failure between any two left the removal half applied. Thread a single prisma transaction through all four writes, following the same tx.<table> pattern /team/member_add and /team/member_update already use, so either all four land or none do. * fix(team): serialize member_add, member_delete, and delete under the team's advisory lock /team/member_add validated a team exists and then wrote the user's teams array and a membership row without holding anything across that gap, so a /team/delete could commit its reference sweeps in between and leave a member pointing at a team id that no longer exists. The write path already re-read members_with_roles under a row lock before this change, but SELECT ... FOR UPDATE can deadlock with the access-group endpoints, which lock an access group and then a team. member_add now takes pg_advisory_xact_lock(hashtext(team_id)) before re-reading the team and only writes if it is still there, so a delete that already committed is visible before any write happens. delete_team takes the same lock around its own row delete and reference sweep, so the two requests can never interleave: whichever acquires the lock first runs to completion before the other's read can proceed. Dropping the row lock from member_add's read also dropped the incidental protection it gave against a concurrent member_delete, which still wrote from the snapshot it validated against, unlocked, and could silently overwrite whatever member_add had just committed. member_delete now takes the same advisory lock and re-reads the roster under it before computing its own write, so it can never resurrect a member by overwriting from stale data. Resolves LIT-5544 * fix(team): run member writes on the advisory lock's transaction Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(team): keep member writes on the lock holder's connection after merge Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(team): keep the transactional member create an upsert on user_id The transaction path was creating the email-identified user row outright, where the regular client path upserts on user_id. Share one upsert helper between both member paths so the create stays idempotent on the lock holder's connection. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(team): read member_delete's user and key rows on the lock-holding transaction Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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yuneng-jiang
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6a0d03914c
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test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
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ryan-crabbe-berri
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6266b3d50a | test: keep a real assertion where the tolerance handler lost its last one | ||
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ryan-crabbe-berri
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243ed4393d |
test: reject assertions on a caught error inside except (ruff PT017)
A test that asserts on the error inside its own except block passes when the call stops raising, because nothing runs the handler. That is the exact case the test exists to catch, so the regression lands green. Rewrites all 111 such blocks into pytest.raises, which fails when the call succeeds, and selects PT017 in ruff-tests.toml so no new one lands. |
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ryan-crabbe-berri
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e9d40a8f73 |
test: enforce F811 so a duplicate definition cannot silently replace the first
A name bound twice keeps only the second binding. In `tests/` that is nearly always a repeated import, harmless but misleading, and the same rule is what catches the cases that are not harmless: a local that shadows an import the module still calls, and a second `def test_x` that quietly replaces the first. 311 of the 344 sites were repeated imports and came out with ruff's own fix. The remaining 33 needed a decision. Four modules imported a name they never used because a local definition below already shadowed it. Two comprehensions bound `call` over `unittest.mock.call`, which those modules import and use. One test rebound the two module handles its nested reload closure had captured. One class attribute shadowed an unused `status` import. The load-test fixtures move to a conftest, which is how pytest is meant to share them, so the test module no longer imports three fixture names it never calls. The nine `prisma_client` parameters keep a narrow `noqa`: pytest resolves that fixture by name before the body runs, so the parameter never shadows anything. |
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ryan-crabbe-berri
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a112ba5f63
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test: enforce PT012 so a pytest.raises block cannot hide dead assertions (#37748)
* test: enforce PT012 so a pytest.raises block cannot hide dead assertions `with pytest.raises(...)` stops at the first statement that raises. Anything sequenced after it inside the block never runs, so an assertion written there is never checked and the test still reports green. Two sites were doing exactly that, and both assertions turned out to be wrong once they started running. tests/llm_translation/test_prompt_factory.py asserted the bedrock rejection names "requires at least one non-system message", which holds. tests/proxy_unit_tests/test_proxy_server.py asserted the prisma startup failure mentions "httpx.ConnectError", which never appears: the failure is an httpx.ConnectError whose message is "All connection attempts failed", so that test now asserts the type. Its DATABASE_URL override moves to monkeypatch, since the old restore sat below the assertion and leaked the invalid URL into every later DB test the moment the assertion started being able to fail. The remaining 72 sites are rewritten without changing what they exercise: setup that cannot raise moves above the block, a nested `patch` moves outside it, and bodies with real control flow (a stream drain, an if/else on sync_mode, a retry loop) move into a local closure the block calls. Fixing PT012 unmasked two B017s, since ruff only reports a blind pytest.raises(Exception) once the block holds a single statement. tests/proxy_unit_tests/test_auth_checks.py narrows to the ProxyException can_key_call_model actually raises. tests/local_testing/test_completion_cost.py was asserting vertex_ai/medlm-medium has no cost entry, which stopped being true at some point; that dead first half is gone and the rest of the test, which checks medlm pricing resolves above zero, now runs instead of being skipped. * chore(ci): ratchet TQ004 to 768 after the prisma test moved to monkeypatch |
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Deepanshu Lulla
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0580465384
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feat(router): add per-deployment allowed_fails_policy and cooldown_time override support (#34416)
* feat(router): add per-deployment allowed_fails_policy and cooldown_time override support
Three bugs fixed in the router cooldown system: (1) deployment-level allowed_fails and
allowed_fails_policy in model_info now take precedence over router-level settings in
_should_cooldown_deployment; (2) failed fallback deployments now get evaluated for
cooldown via _trigger_cooldown_for_failed_deployment, bypassing the Logging dedup gate;
(3) DualCache promotes Redis cooldown entries using default 600s TTL instead of true
remaining cooldown time -- _corrected_active_cooldown now evicts expired entries and
corrects stale in-memory TTLs on backfill. Adds ServiceUnavailableError, BadGatewayError,
and NotFoundError fields to AllowedFailsPolicy and cooldown_time to LiteLLMParamsTypedDict.
* fix(router): gate fallback cooldown trigger on has_logged_async_failure; use only litellm_metadata for deployment ID
* fix(router): use X | Y union syntax to fix UP007 strict lint gate
* test(router_utils): add coverage for _trigger_cooldown_for_failed_deployment and has_logged_async_failure gate
* test(router_utils): cover deployment cooldown override and exception swallow paths
* fix(router): add InternalServerError/ServiceUnavailableError/BadGatewayError/NotFoundError to router-level get_allowed_fails_from_policy
* fix(router): format router.py and add router-level policy tests
* test(router): add CI-visible coverage for per-deployment cooldown policy
Tests for `_get_deployment_cooldown_policy`, `_resolve_allowed_fails_from_policy`,
and `_should_cooldown_based_on_deployment_policy` (cooldown_handlers.py), the
`_corrected_active_cooldown` branches in CooldownCache, and the four new
exception-type branches in `Router.get_allowed_fails_from_policy` (router.py) --
all in `tests/test_litellm/` which the enterprise-routing CI job runs.
* fix(router): use is not None guard for cooldown_time_override in should_cooldown_based_on_allowed_fails_policy
A cooldown_time_override of 0 was previously treated as falsy and silently
fell through to the router-level cooldown_time value. Switched to an explicit
is not None check so that zero is honored as a valid override.
Added a regression test covering the zero case.
* fix(router): honor has_logged_async_failure and metadata for fallback cooldown; support both model_info and litellm_params locations
Manual verification against a live proxy surfaced that the fallback-cooldown-gap
trigger never actually fired: the has_logged_async_failure check read a plain
attribute that Logging never sets (the real flag lives in model_call_details),
and the deployment_id lookup only trusted litellm_metadata, which regular chat
completions never populate (only batch/thread/file endpoints do). Router
overwrites model_info on whichever key is present before every attempt, so
metadata is equally authoritative there, not caller-controlled as previously
assumed. Also let allowed_fails/allowed_fails_policy/cooldown_time be set under
either model_info or litellm_params, each preferring its own canonical location.
* fix(router): fix ContentPolicyViolationError policy shadowing and partial-policy zero-threshold
Two bugs from Greptile review on PR #34416:
- ContentPolicyViolationError subclasses BadRequestError, so listing
BadRequestError first in _EXCEPTION_POLICY_FIELDS made the isinstance
check always match BadRequestError for content-policy errors, using the
wrong allowed_fails threshold. Reordered so the subclass is checked first.
- A deployment with a partial allowed_fails_policy and no deployment-wide
allowed_fails forced allowed_fails_override=0 for any exception type its
policy didn't cover, cooling the deployment down on the first unrelated
failure. Now defers to router-level behavior for uncovered exception
types instead of forcing an immediate cooldown.
* fix(router): only trust a metadata/litellm_metadata bucket the router itself wrote deployment info into
veria-ai flagged that preferring litellm_metadata whenever present could pick up a
caller-supplied litellm_metadata.model_info.id (preserved via allow_client_pricing_override)
instead of the metadata bucket the router actually populated for a regular completion's
fallback attempt, naming an arbitrary "victim" deployment for cooldown.
Router._update_kwargs_with_deployment() always writes model_info and
deployment_model_name into the same bucket together. Only trust a bucket that
carries deployment_model_name alongside model_info, since that marker is only
ever set by the router itself, not by request-body metadata.
* test(router): add regression coverage for ContentPolicyViolationError policy shadowing
The subclass-ordering fix in commit
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Yuneng Jiang
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2a13bbe1cb
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refactor(proxy): resolve team member lookups in one query and cap the rejection message
Resolve the requested member user_ids with a single find_many instead of one lookup per member, so a large member list no longer turns into that many round-trips before the permission check runs. Write the member-add audit entries concurrently rather than one after another, and list at most a few ids in the rejection message instead of echoing the whole request back. Update the team-admin member-add case that covered adding a user_id with no user row, which the endpoint now leaves to proxy admins. |
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Yassin Kortam
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c6b2f111a6
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fix(team): make team member add atomic to prevent concurrent-add member loss (#34185)
_add_team_members_to_team reconciled membership by reading the complete_team_data snapshot captured at the start of team_member_add, appending in memory, and writing the whole members_with_roles array back. Two concurrent /team/member_add calls for the same team read the same snapshot, so the last write wins and one member is silently lost. This affects every concurrent team member add, including the SCIM group PATCH op:add path that routes through team_member_add Reconcile members_with_roles inside a transaction that locks the team row with SELECT ... FOR UPDATE before re-reading the current membership, so concurrent writers serialize on the row lock and each appends onto the other's committed result. The interactive transaction is exposed through a thin PrismaClient.tx() passthrough and the locked read is encapsulated in TeamRepository.get_members_with_roles_locked, and the SCIM group PATCH applies membership as deltas so concurrent adds are not clobbered |
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yucheng-berri
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8ce6b4d712
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fix(proxy): tighten role gating on /get/config/callbacks response (#31745)
The handler returned decrypted callback environment values and alerting routing values verbatim to callers who were not full PROXY_ADMIN. Gate those on full-admin role, matching the posture used on the sibling config-inspection endpoints. Non-sensitive routing fields (host / base URL / port style values) stay visible so the UI can still label which integration is wired up. Full PROXY_ADMIN sees everything unchanged so the edit form round-trips on save. Resolves LIT-4115. |
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Sameer Kankute
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4c25b7a13d
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chore: litellm oss staging (#30745)
* fix(proxy): bump health-check max_tokens default to 16 for GPT-5 compatibility (#30708) OpenAI GPT-5 models require max_completion_tokens >= 16. Health checks were using 5 (proxy/health_check.py) and 10 (health_check_helpers.py), causing failures on GPT-5 models. Fixes #23836 * fix: increase health check max_tokens from 5 to 16 (#23836) (#26610) GPT-5 models enforce a minimum of 16 for max_output_tokens. The current default of 5 still causes health checks to fail for these models. Bump the non-wildcard default to 16 — the smallest value that satisfies all known provider minimums while keeping health checks lightweight. Also tightens the wildcard test assertion from a weak disjunctive check to strict key-absence. Co-authored-by: Sameer Kankute <sameer@berri.ai> * fix: ensure checks show gemini-3-flash-preview supports responseJsonS… (#30696) * fix: ensure checks show gemini-3-flash-preview supports responseJsonSchema. * fix: remove async keyword from test. * fix: make Bedrock Mantle Responses routing data-driven per model (#30700) * Make Bedrock Mantle Responses routing data-driven per model Route Bedrock Mantle models to the native Responses API based on each model's price-map capability signal instead of a hardcoded model-name heuristic, and derive the OpenAI-compatible base path segment per model. Responses dispatch now selects the native config when the model advertises responses support (/v1/responses in supported_endpoints, or mode=responses), both overridable via register_model and proxy model_info. This enables native Responses for gpt-oss-120b/20b and the gemma-4 family while keeping chat-only models (gpt-oss safeguard, nvidia, mistral, ...) on the existing chat-completions emulation. Capability is per-model, so gpt-oss-120b routes natively while gpt-oss-safeguard-120b does not despite sharing the gpt-oss substring. The wire path is a separate concern, driven by the existing use_openai_responses_path flag rather than a model-name match: gpt-5.x and gemma-4-* on /openai/v1, everything else (incl. gpt-oss) on /v1. The chat config now derives its base from the same flag, fixing gemma-4 chat-completions requests that previously went to /v1 instead of /openai/v1. Cost maps: add supported_endpoints to the gpt-oss entries (responses for the non-safeguard variants, chat-only for safeguard) and supported_endpoints + use_openai_responses_path to all three gemma-4 entries. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Address review: move capability helper into bedrock_mantle package Move the Responses capability check out of utils.py into litellm/llms/bedrock_mantle/common_utils.py as mantle_supports_responses, alongside its companion wire-path helper mantle_base_segment. Both are now pure functions of (model, model_cost): the price-map mode/supported_endpoints read replaces the get_model_info call, so the rules are unit-testable without patching global state and the Bedrock Mantle package is self-contained. Use str | None instead of Optional[str] on the new signatures to satisfy the ruff UP045 strict-rule gate. Add direct unit tests for both helpers. Fix test_register_model_restore_undoes_existing_key_overwrite: gpt-oss-120b now legitimately supports Responses, so it can no longer be the "None after restore" vehicle; use the chat-only safeguard variant, which isolates the register/restore effect from the model's own capability. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * fix(proxy): fail fast on non-PostgreSQL DATABASE_URL instead of hanging on startup (#30366) * fix(proxy): fail fast on non-PostgreSQL DATABASE_URL instead of hanging on startup LiteLLM's Prisma datasource is pinned to provider = 'postgresql', so a sqlite:// or mysql:// DATABASE_URL can never connect. Today that surfaces as an opaque startup stall where the port never binds, and a separate 'DB not connected' 500 on /key/generate when no DATABASE_URL is set at all leaves operators guessing what to configure. Validate the DATABASE_URL / DIRECT_URL scheme in run_server before any Prisma call and exit with an actionable message naming the unsupported scheme. Also reword CommonProxyErrors.db_not_connected_error to tell the operator to set DATABASE_URL to a postgresql:// connection string. Add regression tests covering postgres acceptance and sqlite/mysql/mssql rejection. * fix: resolve CI failures and proxy DB URL typing issue * fix(dashscope): treat an explicit 0.0 tier cost as a real price, not missing (#30653) The tiered cost calculator resolved a tier's per-token cost with `tier.get(cost_key) or tier.get(fallback_cost_key, 0)`. Because `or` short-circuits on any falsy value, a tier that legitimately prices a component at 0.0 (e.g. a free-cache-read tier with cache_read_input_token_cost: 0.0, or a free-reasoning tier) is treated as missing and silently billed at the full fallback rate (input_cost_per_token / output_cost_per_token). The flat-pricing path in the same module already handles this correctly with an `is None` guard. Resolve tier costs through a small helper that mirrors it, so 0.0 is honored at both the in-range and overflow sites. No shipped model currently has a 0.0 tier cost, so this is a latent defect; the fix makes the tiered path consistent with the flat path and prevents over-charging the first time such a tier appears. Adds unit tests covering the in-range and overflow paths, and drops an unused import flagged by ruff in the touched test file. * feat(proxy): show session-aggregate cost and duration in request logs (#25708) (#30507) * fix(anthropic): don't leak tool 'type' into OpenAI function parameters schema (#30618) In the messages->chat/completions bridge, translate_anthropic_tools_to_openai merged every non-mapped tool key into the function parameters dict. The Anthropic tool 'type' (e.g. 'custom') thus overwrote parameters.type ('object' -> 'custom'), and providers reject it ('custom' is not a valid JSON-Schema type). Exclude 'type' from the passthrough. Fixes #30557. * fix(proxy): stop IAM-refresh engine restart from cascading reconnects (#29176) (#30183) An RDS IAM token refresh recreates the Prisma client, which SIGKILLs the running query-engine and spawns a new one. That planned kill was indistinguishable from a crash, and three reconnect paths used two uncoordinated locks, so a single refresh triggered a cascade of engine kill/respawn cycles: 1. `_safe_refresh_token` (holds `_reconnection_lock`) -> recreate -> kill old engine, spawn new one. 2. The engine-death watcher sees that kill, assumes a crash, and calls `attempt_db_reconnect(force=True)` (a different lock, `_db_reconnect_lock`) -> recreate again -> kills the fresh engine. 3. In-flight queries failing during the swap are classified as transport errors and trigger their own `attempt_db_reconnect` -> recreate again. Fix coordinates planned restarts across the wrapper and the watcher: - PrismaWrapper records the old engine PID in `_expected_engine_deaths` before killing it; all four watcher death-detectors (waitpid thread, pidfd, already-dead probe, os.kill poll) consume that PID and skip the reconnect instead of treating it as a crash. - `recreate_prisma_client` now serializes through `_reconnection_lock` and bumps a monotonic `_engine_generation`. Callers pass `expected_generation` as an optimistic-lock token, so racing/cascading recreates collapse into a single restart (losers no-op). This closes the two-lock gap. - The direct reconnect path probes the writer with SELECT 1 before recreating; a healthy connection (e.g. engine already replaced by a refresh) skips the recreate entirely. - `_safe_refresh_token` coalesces: it skips when the current token still has more than the refresh buffer of runway, so stacked triggers (proactive loop + __getattr__ fallback) don't each restart the engine. An `on_engine_replaced` hook re-arms the watcher on the new PID. RoutingPrismaWrapper forwards `expected_generation` and skips recreating the reader when the writer recreate was skipped. * feat(bedrock): support file content retrieval for batch output files (#30595) Implements transform_file_content_request and transform_file_content_response in BedrockFilesConfig so GET /v1/files/{id}/content works for Bedrock batch files. The request transform resolves the file id (direct s3:// URI or base64 unified id) to its S3 object, validates bucket and key prefix against the server-configured bucket, and SigV4-signs an S3 GetObject using the same credential and region resolution as the existing upload path. The credential and region params are validated into a typed model at the boundary, so the only untyped values left are the botocore signing primitives. Also fixes the proxy managed-files path: CredentialLiteLLMParams now carries s3_bucket_name (previously dropped when building deployment credentials) and the managed-files hook passes the deployment credential snapshot when routing afile_content, so unified-id content retrieval works with per-model bucket config instead of only the AWS_S3_BUCKET_NAME env var. Preserves managed-file access control: the proxy file-content endpoint now rejects raw cloud-storage ids (s3://, gs://), which would otherwise skip the owner/team check that only runs for unified ids and let a caller read another tenant's batch output by its object key. Managed outputs are reachable only through their unified file id. The afile_content "not found" error now reports the caller's unified id rather than the resolved internal S3 URI. Fixes #16186, #15563 * fix(oci): make Cohere {{trace}} judges work (tool param types + agentic tool-calling continuation) (#30646) * fix(oci): map Cohere tool array/object params to lowercase builtins OCI's Cohere backend returns HTTP 500 on a tool parameter typed as a bare "List", which is what OCI_JSON_TO_PYTHON_TYPES produced for JSON-schema arrays. MLflow {{trace}} judges trip this: their tools (get_root_span, get_span) take an attributes_to_fetch array. The lowercase builtins list/dict are accepted; only the bare "List" 500s ("Dict" happens to be tolerated, but both are lowercased for consistency). Verified live against us-chicago-1 (cohere.command-a-03-2025 and command-latest). Adds a unit regression on the transformed parameterDefinitions plus a gated integration test exercising an array-param tool end to end. * fix(oci): make Cohere agentic tool-calling continuation work Two bugs broke the OCI Cohere tool-calling loop that MLflow {{trace}} judges drive once a tool has been executed and its result is fed back. Request side: litellm pulled the last user message into the top-level `message` and emitted the tool result as a TOOL entry in chatHistory. OCI rejects that ("cannot specify message if the last entry in chat history contains tool results"), and an empty message alone is rejected too ("message must be at least 1 token long or tool results must be specified"). OCI carries the current turn's results in a dedicated top-level `toolResults` field. The Cohere transform now sends an empty message, keeps the user turn in chatHistory, and puts the results in `toolResults`, matching the langchain-oracle reference. Tool results are no longer represented as chatHistory entries. Response side: tool-grounded answers come back with citations carrying `documentIds` (camelCase) and no `document_ids`, which made the required `CohereCitation.document_ids` field fail validation and sink the whole response parse. Those citations are never surfaced, so the field (and CohereSearchQuery's generation_id) is now optional. Verified live against us-chicago-1 (cohere.command-a-03-2025 and command-latest), single and multi-round tool loops. Adds unit regressions on the transformed request shape and on citation parsing, plus gated integration tests for the continuation. * feat: integrate Repelloai Argus guardrail (#30673) * feat(guardrails): add RepelloAI Argus guardrail integration (#1) * feat(guardrails): add RepelloAI Argus guardrail integration Add a new guardrail hook backed by RepelloAI Argus, with dashboard-managed asset policies enforced via an asset_id and X-API-Key auth. * fix(guardrails): harden RepelloAI Argus guardrail - scan streaming responses on output (was bypassing the guardrail) - log blocked verdicts as guardrail_intervened instead of success - treat auth/config errors (401/403/404/422) as misconfiguration that always blocks, not a fail-open-able unreachable error - default unreachable_fallback to fail_closed and read it directly; block on unknown/malformed verdicts so an API change can't silently disable enforcement - type unreachable_fallback as a Literal, drop the duplicate config model, expose unreachable_fallback in the config schema, and stop leaking the raw provider response / exception strings to the client * fix(guardrails): address RepelloAI Argus review feedback - support ARGUS_API_KEY (with REPELLOAI_API_KEY fallback) - make asset_id required in the config model - normalize unreachable_fallback so only fail_open opens; block on 400 misconfig - correct the shared unreachable_fallback field description * docs(guardrails): add RepelloAI Argus docs page and dashboard listing - add docs page covering config, env vars, modes, verdicts, failure semantics - list RepelloAI Argus in the Guardrail Garden with provider/logo mappings - add a regression test for the provider logo and display-name resolution * fix(guardrails): keep RepelloAI asset_id optional in config model A required asset_id leaked onto the shared LitellmParams (which inherits RepelloAIGuardrailConfigModel), breaking validation for every other guardrail. Keep it optional like sibling models; the guardrail __init__ still raises when asset_id is missing, which is the real enforcement. * Add comment for last user turn scanning * feat(guardrails): harden repelloai scanning * feat(guardrails): expand repelloai scanning to include tool definitions Add extraction of tool definitions and tool call arguments to the RepelloAI guardrail scanning. Improves detection coverage by including function schemas and parameters in the prompt sent to the guardrail service. Also captures detailed error responses in logs and adds guardrail header to streaming responses. * refactor(guardrails): fix and harden repelloai schema text extraction - Fix duplicate text in _iter_schema_text: previously all dict values were re-queued onto the stack even after scalar/list keys were already extracted explicitly, causing names/descriptions to appear twice in the scanned prompt - Extract schema key frozensets to module-level constants so they are not reconstructed on every call - Change _iter_schema_text from @classmethod to @staticmethod (cls unused) - Narrow _call_analyze stage param from str to Literal["prompt", "response"] - Add HttpxResponse type annotation to _raise_for_config_error - Add LLMResponseTypes annotation to async_post_call_success_hook response param * fix(guardrails): resolve pyright type errors in repelloai guardrail - Narrow async_handler.post return from Response|None to Response with explicit None guard before calling raise_for_status/json - Fix list comprehension returning str|None by switching to explicit loop with isinstance guard so pyright tracks the narrowing - Cast model_dump() result to Dict since hasattr does not narrow object type in pyright * fix(guardrails/repello): include Responses API instructions field in prompt scan The /v1/responses top-level `instructions` field was not included in _extract_prompt_text, allowing a caller to bypass guardrail policy checks by putting blocked content in `instructions` while keeping `input` benign. * feat: add api_key to config model and read prompt from data dict * fix(guardrails/repello): plug input_text and tool-call response bypass gaps Responses API input content parts with type 'input_text' were silently dropped by build_inspection_messages (which only handles type='text'), allowing callers to send blocked content via that path without triggering the pre-call scan. Fix: add _extract_input_text_parts to RepelloAIGuardrail and call it when walking the Responses API input messages. Post-call scanning skipped responses whose choices contained only tool_calls or function_call (message.content=None), letting models put blocked output in function arguments undetected. Fix: _extract_chat_completion_text now calls _extract_tool_call_args_from_message on each choice message. Also replace typing.Dict/List with builtin dict/list to clear TID251 strict ruff violations introduced by this file. * fix(guardrails/repello): scan Responses API function_call output arguments Output items with type 'function_call' in a /v1/responses response were skipped by _extract_responses_api_text; only 'message' items were walked. A model could return blocked content in function_call.arguments undetected. Now extract arguments from function_call output items before scanning. * refactor(guardrails/repello): clean up typing and remove lint-any workarounds - Replace Optional[X]/Union[X,Y] with X|None/X|Y union syntax throughout - Use dict[str, object] instead of bare dict in all signatures - Remove **kwargs from __init__; declare guardrail_name, event_hook, default_on explicitly - Replace getattr(litellm_params, ...) with direct attribute access now that LitellmParams inherits RepelloAIGuardrailConfigModel - Add _event_hook_from_mode() to convert str|list[str]|Mode to typed GuardrailEventHooks - Use TypeAdapter.validate_json() instead of response.json() + manual dict construction - Add _is_object_dict/_is_object_list TypeGuard helpers to narrow object types without Any - Remove cast() workarounds and typed intermediate variables that existed only for the now-removed lint-any CI check - Drop _AddLiteLLMCallback Protocol; budget has sufficient slack for the one reportUnknownMemberType - Fix GuardrailConfigModel missing type arg: GuardrailConfigModel[BaseModel] * fix(guardrails/repello): suppress LIT007 on TypeGuard helpers and add streaming scan-skip warning - Add guard-ok suppressions to _is_object_dict and _is_object_list to satisfy the LIT007 hard-zero budget gate - Emit verbose_proxy_logger.warning when the streaming hook finds no inspectable text after assembly, matching observability of pre/post hooks * refactor: modifications for lint check * feat: add Pinstripes as an OpenAI-compatible provider (#30567) * feat: add Pinstripes as an OpenAI-compatible provider Pinstripes (https://pinstripes.io) is an OpenAI-compatible inference provider serving open-source models (GLM-4.5-Air, Qwen3, DeepSeek, etc.) with per-token pricing and no subscriptions. Changes: - `litellm/llms/openai_like/providers.json`: register pinstripes with base_url, api_key_env, and max_completion_tokens→max_tokens mapping - `litellm/types/utils.py`: add `PINSTRIPES = "pinstripes"` to LlmProviders - `litellm/constants.py`: add to openai_compatible_providers and openai_compatible_endpoints lists - `litellm/litellm_core_utils/get_llm_provider_logic.py`: auto-detect provider when api_base is "https://pinstripes.io/v1" - `provider_endpoints_support.json`: document supported endpoints - `tests/`: 7 unit tests covering provider registration, resolution, URL auto-detection, api_base override, and Router config Usage: import litellm response = litellm.completion( model="pinstripes/ps/glm-4.5-air", messages=[{"role": "user", "content": "Hello"}], api_key=os.environ["PINSTRIPES_API_KEY"], ) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(pinstripes): resolve Greptile P1 review comments - Add api_base_env: PINSTRIPES_API_BASE to providers.json so env var override works - Set responses: false in provider_endpoints_support.json — not actually wired up - Remove docs/my-website/docs/providers/pinstripes.md — belongs in litellm-docs repo Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(pinstripes): add api_base_env and correct responses capability - Add api_base_env: PINSTRIPES_API_BASE to providers.json - Set responses: false in provider_endpoints_support.json Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(pinstripes): wire up Responses API — add supported_endpoints Adds supported_endpoints: ["/v1/chat/completions", "/v1/responses"] so JSONProviderRegistry.supports_responses_api returns true correctly, matching what provider_endpoints_support.json advertises. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(pinstripes): enable embeddings endpoint Pinstripes serves nomic-embed-text-v1.5 and bge-m3 via /v1/embeddings. Add /v1/embeddings to supported_endpoints and set embeddings: true. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(pinstripes): use 4-space indentation in model_prices_and_context_window.json Matches the file's existing convention. Flagged by Greptile review. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(pinstripes): set a2a: false — A2A protocol not implemented All comparable JSON-configured providers (tensormesh, parasail, empiriolabs, libertai, neosantara) have a2a: false. Pinstripes does not implement the Google A2A protocol, so this should be false to match. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: inference_provider <max@redactedlab.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(rag): attach existing OpenAI file ids (#30628) * fix(rag): attach existing OpenAI file ids * chore: use modern typing in rag ingest fix * chore: retrigger ci * fix(anthropic-messages): apply cache_control_injection_points on /v1/messages path (#30341) cache_control_injection_points was only consumed by the chat/completions prompt-management hook; on the native Anthropic /v1/messages path it was forwarded unused, so deployment-level cache injection was silently dropped (cache_creation_input_tokens stayed 0 for Anthropic-native clients). Add AnthropicCacheControlHook.apply_to_anthropic_messages_request to inject cache_control at block level for system / tools / message locations (the only forms /v1/messages accepts), wire it into the native anthropic_messages handler, and pop the param so it does not leak upstream as an unknown field. A {location: message, role: system} config is redirected to the top-level system prompt so the same YAML works on both endpoints. Injection respects Anthropic's 4-block cache_control limit shared across system, tools, and messages: client-supplied markers count toward the cap and are never overwritten, a slot is reserved per Bedrock tool_config point, and injection stops once the budget is exhausted. Locations this path cannot represent (tool_config) are forwarded downstream instead of being silently consumed, mirroring get_chat_completion_prompt's remaining_points pass-through. Built on litellm_internal_staging. Refs BerriAI/litellm#30293 * fix(proxy): release budget reservation when a request is cancelled mid-flight (#30522) * fix(proxy): release budget reservation on cancel when no chunk was delivered The pre-call budget reservation increments the cross-pod spend counter by a request's worst-case cost, then reconciles it on success (cost callback) or error (failure hook). A client disconnect or timeout cancels the request and surfaces as CancelledError / GeneratorExit, which neither path catches, so the reservation leaks. Under a retry storm the leaked holds accumulate, pin the counter above real spend, and return spurious 429 "Budget has been exceeded" to keys whose spend is far below budget; the counter only recovers when its TTL lapses, so the failure is intermittent and self-healing. Release the reservation in async_streaming_data_generator (which the Anthropic and Google SSE generators delegate to) on the (CancelledError, GeneratorExit) path, alongside the existing max_parallel_requests release. release_budget_ reservation_on_cancel runs under asyncio.shield so it completes despite the in-progress cancellation, is guarded by the reservation's finalized flag, and swallows a failing release so it cannot replace the in-flight cancellation. The refund is gated on whether a chunk reached the client. The flag is set immediately before the yield, after the slow-path hook await: an async generator suspends at the yield, so a GeneratorExit on disconnect after a delivered chunk sees it True (keep the hold), while a cancellation during the slow-path await leaves it False (refund, nothing sent). A non-streaming cancellation delivers nothing and a completed non-streaming response is reconciled by the success callback, so neither needs a release here. Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(proxy): reconcile a cancelled reservation to input cost, not zero A streaming request cancelled before the first chunk previously reconciled its reservation to zero and finalized it. But by the time the generator is consuming the response the provider call was already dispatched, so the input tokens were billed even though no chunk reached the client, and the success/failure cost callbacks are skipped on cancellation. Refunding to zero let a caller send an expensive request and abort pre-token to dodge the input charge. Compute the request's input-token cost at reservation time and reconcile the cancelled reservation to it instead of zero. The worst-case output portion of the reservation is still released (so a legitimate mid-flight cancellation no longer pins the counter and 429s the key), while the input the provider already processed is charged. --------- Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(caching): encode object name in GCS cache GET path (#30378) GCS cache reads always missed when gcs_path was set. The GET methods interpolated the object name directly into the URL path, while the GCS JSON API requires it to be URL-encoded (a "/" must be sent as %2F). With gcs_path configured the object name is "<prefix>/<sha256>", so the raw slash produced a malformed object path and GCS returned 404. httpx does not raise on 4xx, so the status_code == 200 check fell through and get/async_get returned None, silently missing on every read. Without gcs_path the key has no slash, which is why this went unnoticed. Wrap the object name with urllib.parse.quote(..., safe="") in get_cache and async_get_cache. Apply the same encoding to the name= query parameter in set_cache and async_set_cache so the key written matches the key read back. Adds regression tests asserting the GET path and SET query are encoded (%2F) when gcs_path is set, for both sync and async paths; these fail on the unpatched code. Fixes #30377 * chore: add soniox stt-async-v5 model (#30672) * fix(proxy): include model group aliases in v1 model info (#30626) * Include model group aliases in v1 model info * Fix model info alias implementation * removed extra blank line * chore: rerun CI * fix(lint): remove redundant noqa directive in proxy_cli.py * fix: address greptile review - restore bedrock_mantle auth symbols, guard OCI empty message list, validate DIRECT_URL scheme * Revert "fix: address greptile review - restore bedrock_mantle auth symbols, guard OCI empty message list, validate DIRECT_URL scheme" This reverts commit |
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ryan-crabbe-berri
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770fff7058
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test(proxy): stop running real-DB tests in GitHub Actions unit jobs (#29700)
* test(proxy): stop running real-DB tests in GitHub Actions unit jobs GitHub Actions unit jobs were spinning up a Postgres service container, but the only active tests that touched it either used the DB incidentally (a cargo-culted prisma_client.connect()) or were genuine integration tests mislabeled as unit. Mock the incidental ones so the proxy-db job needs no container, and move the tests that genuinely need a database (proxy management behavior, master-key-not-persisted, schema-migration sync) to CircleCI, which is already the real-infrastructure lane. * test(proxy): restore no-unexpected-startup-writes canary in master-key test Greptile noted the hash-match assertion no longer catches other unexpected startup writes (a default key, a rotation artifact). The CircleCI job gives each run a fresh DB, so a clean startup must leave the table empty; add that canary back alongside the precise master-key assertion. |
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Sameer Kankute
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c7ab9adde5
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Litellm oss staging 030626 (#29578)
* Fix incorrect agent API request example payload structure (#29556) * fix(otel): add litellm_metadata fallback in _get_span_context and _end_proxy_span_from_kwargs (#29427) * fix(otel): add litellm_metadata fallback in _get_span_context and _end_proxy_span_from_kwargs On /v1/messages and other LITELLM_METADATA_ROUTES, the parent OTel span is stored in litellm_params['litellm_metadata'] instead of litellm_params['metadata']. When the request body contains a native 'metadata' field (e.g. Anthropic's {"user_id": "..."}), litellm_params['metadata'] gets overwritten and the parent span is lost, producing orphan root spans with a different trace_id. Add fallback checks to litellm_metadata in: - _get_span_context(): so child spans find the correct parent - _end_proxy_span_from_kwargs(): so the proxy span gets closed Fixes: https://github.com/BerriAI/litellm/issues/27934 * test(otel): tighten assertions per Greptile review - test_span_context_metadata_takes_priority: assert litellm_metadata span is never accessed, proving metadata takes priority - test_span_context_no_parent_when_neither_has_span: assert both ctx and detected_span are None --------- Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Aneesh-Fiddler <aneeshfiddler@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * fix: remove premature end-user budget check from get_end_user_object (#29420) * fix(proxy): remove premature end-user budget check from get_end_user_object Problem: - `_check_end_user_budget()` was called inside `get_end_user_object()` - This caused budget checks to run BEFORE `skip_budget_checks` could be evaluated - Zero-cost models (e.g., local vLLM) were incorrectly blocked when end-users exceeded their budget, even though they should bypass budget checks Solution: - Remove `_check_end_user_budget()` calls from `get_end_user_object()` - Budget enforcement now happens exclusively in `common_checks()` where `skip_budget_checks` context is available - `get_end_user_object()` keeps `route` as optional in function parameter for backwards compatibility and future implementation. * refactor(tests): update budget enforcement tests to reflect changes in get_end_user_object - test_get_end_user_object() verifies data fetching - test_check_end_user_budget() verifies enforcement - test_budget_enforcement_blocks_over_budget_users() integrates _check_end_user_budget() - test_resolve_end_user_reraises_budget_exceeded() is now test_resolve_end_user since no budget exceeded is thrown in get_end_user_object() * Gemini /images/generate and /images/edits billing fixes + add support for size and aspect ratio params (#29534) * Fix Gemini image config mapping * Address Gemini image config review * Format Gemini image generation transform * Fix Gemini image token usage logging * Share Gemini image request helpers * Fix Gemini Imagen model routing * Fixes as per self code review * Fixes per internal code review * Stop gating Imagen imageSize forwarding * Document Gemini image size mapping source * chore: retrigger lint * Clarify Gemini candidate count precedence * Add Inception provider (#29522) * add inception as provider (chat, fim) * linting * seperate test suite for chat and fim * fix test coverage * fix: model hub custom pricing model info (#29293) * Opik user auth key metadata extractors (#28397) * fix: enhance Opik metadata extraction to include user API key auth context fixed after refactoring to extractor logic * test: add unit tests for OPik metadata extraction logic * fix: enhance extract_opik_metadata function to prioritize metadata sources for improved accuracy * fix(ci): clarified comments and edited unit tests * test: add unit tests for OPik metadata extraction with auth and requester overrides * fix(ui): replace fixed favicon.ico with current api get /get_favicon (#29532) Signed-off-by: José Luis Di Biase <josx@interorganic.com.ar> * fix(vertex/gemini): keep tool_call reference when a text-only assistant message follows (#29561) `_gemini_convert_messages_with_history` tracks `last_message_with_tool_calls` so a following tool result can be matched back to its tool call. The assignment was inside a branch guarded by `assistant_msg.get("tool_calls", []) is not None`, which is also True for a text-only assistant message (an empty list is not None). As a result, an assistant message with no tool calls that appears between a tool call and its tool result overwrote the reference, and conversion failed with: Exception: Missing corresponding tool call for tool response message. This shape is common: a model emits a short narration/assistant message after a tool call before the tool result is appended. Only update `last_message_with_tool_calls` when the assistant message actually carries tool_calls (or a function_call). Adds a regression test. Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> * Add 1-hour cache write pricing for EU/AU/JP Bedrock Anthropic models (#28572) * fix(thinking): handle None thinking param in is_thinking_enabled (#28598) Squash-merged by litellm-agent from Terrajlz's PR. * feat(helm): support tpl rendering in podAnnotations (#28609) Squash-merged by litellm-agent from devauxbr's PR. * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) (#28575) * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) When a Chat Completions request to a GPT-5.4+ model contains both `tools` and `reasoning_effort`, `completion()` auto-routes through `responses_api_bridge`. The bridge handler called `litellm.responses()` / `litellm.aresponses()` without forwarding the already-resolved `custom_llm_provider`, so the downstream call re-invoked `get_llm_provider()` with `custom_llm_provider=None` and stripped a second provider prefix from a `provider/provider/model` deployment string. For a deployment configured as `openai/openai/openai/gpt-5.5`, the bridge flow sent `openai/gpt-5.5` to the upstream API instead of the correct `openai/openai/gpt-5.5`. Upstream APIs that enforce model-name allow-lists rejected this as `key_model_access_denied`. Fix: pass the locally-resolved `custom_llm_provider` into both the sync `responses()` and async `aresponses()` calls so the downstream `_resolve_model_provider_for_responses` sees an explicit provider and skips the second prefix-strip. New regression test `tests/test_litellm/completion_extras/test_responses_bridge_provider_propagation.py` pins both call sites: each must forward `custom_llm_provider`. * fix(28505): set custom_llm_provider on request_data instead of as duplicate kwarg Greptile flagged that the previous patch passed custom_llm_provider as an explicit kwarg to responses()/aresponses() while request_data already carried it via the spread of sanitized_litellm_params, which would raise TypeError: got multiple values for keyword argument on every real bridge call. Switches to assigning request_data['custom_llm_provider'] before the call so the resolved provider wins over whatever sanitized_litellm_params spread in, without duplicating the kwarg. Updates the regression test to seed request_data with a sentinel custom_llm_provider so it actually exercises the overwrite path (the previous test mocked transform_request with a minimal dict and never hit the conflict). * chore: trigger shin-agent re-eval on retargeted staging base * chore: trigger shin-agent re-eval against updated Greptile state * Add 1-hour cache write pricing for EU/AU/JP Bedrock Anthropic models The 1-hour prompt-cache write tier (`cache_creation_input_token_cost_above_1hr`) was added to the us./global. variants of the Claude 4.5/4.6/4.7 family on Bedrock, but the eu./au./jp. cross-region inference profiles were left without it. AWS Bedrock pricing applies the same +10% regional premium across all geo profiles, so eu./au./jp. should carry the same 1-hour rates as us. (1.6x the 5-minute regional rate). Without these fields, cost tracking on EU/AU/JP Bedrock 1-hour-TTL prompt caching falls back to the 5-minute write rate and undercounts spend by ~60% for European, Australian, and Japanese tenants. Adds the 1-hour tier (and Sonnet 4.5's long-context >200K tier where AWS publishes one) to 14 regional Bedrock entries in both `model_prices_and_context_window.json` and the bundled `model_prices_and_context_window_backup.json`: - eu./au. Opus 4.6 ($11.00 / MTok) - eu./au. Opus 4.7 ($11.00 / MTok) - eu./au./jp. Sonnet 4.6 ($6.60 / MTok) - eu./au./jp. Sonnet 4.5 ($6.60 / MTok regular, $13.20 / MTok LC) - eu./au./jp. Haiku 4.5 ($2.20 / MTok) Also extends `tests/test_litellm/test_bedrock_anthropic_1hr_cache_pricing.py` with a `REGIONAL_EXPECTED` parametrized block covering all 13 new entries plus the existing 1.6x ratio invariant. Note: `eu.anthropic.claude-opus-4-5-20251101-v1:0` carries the wrong 5m rate today (base 6.25e-06 instead of regional 6.875e-06), which would break the 1.6x ratio check. It is intentionally left out of this PR so the scope stays "1-hour cache tier addition" — a separate follow-up should correct the EU 5m rates for Opus 4.5. --------- Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * Add 1-hour cache write pricing tier for Vertex AI Anthropic models (#28569) * fix(thinking): handle None thinking param in is_thinking_enabled (#28598) Squash-merged by litellm-agent from Terrajlz's PR. * feat(helm): support tpl rendering in podAnnotations (#28609) Squash-merged by litellm-agent from devauxbr's PR. * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) (#28575) * Forward custom_llm_provider through the Responses API bridge (Fixes #28505) When a Chat Completions request to a GPT-5.4+ model contains both `tools` and `reasoning_effort`, `completion()` auto-routes through `responses_api_bridge`. The bridge handler called `litellm.responses()` / `litellm.aresponses()` without forwarding the already-resolved `custom_llm_provider`, so the downstream call re-invoked `get_llm_provider()` with `custom_llm_provider=None` and stripped a second provider prefix from a `provider/provider/model` deployment string. For a deployment configured as `openai/openai/openai/gpt-5.5`, the bridge flow sent `openai/gpt-5.5` to the upstream API instead of the correct `openai/openai/gpt-5.5`. Upstream APIs that enforce model-name allow-lists rejected this as `key_model_access_denied`. Fix: pass the locally-resolved `custom_llm_provider` into both the sync `responses()` and async `aresponses()` calls so the downstream `_resolve_model_provider_for_responses` sees an explicit provider and skips the second prefix-strip. New regression test `tests/test_litellm/completion_extras/test_responses_bridge_provider_propagation.py` pins both call sites: each must forward `custom_llm_provider`. * fix(28505): set custom_llm_provider on request_data instead of as duplicate kwarg Greptile flagged that the previous patch passed custom_llm_provider as an explicit kwarg to responses()/aresponses() while request_data already carried it via the spread of sanitized_litellm_params, which would raise TypeError: got multiple values for keyword argument on every real bridge call. Switches to assigning request_data['custom_llm_provider'] before the call so the resolved provider wins over whatever sanitized_litellm_params spread in, without duplicating the kwarg. Updates the regression test to seed request_data with a sentinel custom_llm_provider so it actually exercises the overwrite path (the previous test mocked transform_request with a minimal dict and never hit the conflict). * chore: trigger shin-agent re-eval on retargeted staging base * chore: trigger shin-agent re-eval against updated Greptile state * Add 1-hour cache write pricing tier for Vertex AI Anthropic models GCP Vertex AI publishes a separate 1-hour cache write column for the Claude family (1.6x the 5-minute write rate, matching the documented Bedrock ratio). LiteLLM's Vertex AI Anthropic entries only carry the 5-minute tier, so any request that uses `cache_control: {"ttl": "1h"}` on Vertex AI Claude is undercounted in cost tracking by ~60%. The runtime side already supports the 1-hour tier — `VertexAIAnthropicConfig` extends `AnthropicConfig`, populating `ephemeral_1h_input_tokens`, and `_calculate_cache_creation_cost` reads `cache_creation_input_token_cost_above_1hr`. Only the price registry was missing data. Adds the field to 19 vertex_ai/claude-* entries across both `model_prices_and_context_window.json` and the bundled `model_prices_and_context_window_backup.json`: - Haiku 4.5 ($1.25 -> $2.00 / MTok) - Sonnet 3.7 / 4 / 4.5 / 4.6 ($3.75 -> $6.00 / MTok) - Opus 4.5 / 4.6 / 4.7 ($6.25 -> $10.00 / MTok) - Opus 4 / 4.1 ($18.75 -> $30.00 / MTok) Adds `tests/test_litellm/test_vertex_anthropic_1hr_cache_pricing.py` mirroring the Bedrock equivalent — pins each (5m, 1h) pair per model and asserts the 1.6x ratio across the family. Fixes #27781. --------- Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: Sameer Kankute <sameer@berri.ai> * Fix Gemini multimodal function responses (#29325) Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> * address greptile review: add _transform_image_usage method and model-map supports_image_size flag - Add _transform_image_usage instance method to GoogleImageGenConfig that delegates to transform_gemini_image_usage, fixing the regression test - Replace hardcoded "2.5-flash" string check in supports_gemini_image_size with a get_model_info lookup on supports_image_size (default true) - Add supports_image_size: false to all gemini-2.5-flash model entries in model_prices_and_context_window.json so capability is controlled via the model map rather than embedded in code * fix test failures: schema validation, mypy type, model info plumbing, pricing test - Add supports_image_size to ModelInfoBase TypedDict so get_model_info surfaces it - Pass supports_image_size through _get_model_info_helper constructor call - Fix supports_gemini_image_size to use value is not False (None means unset, defaults to True) - Add supports_image_size to JSON schema in test_aaamodel_prices_and_context_window_json_is_valid - Correct gemini-3.1-flash-lite pricing assertions in test to match JSON values * Add Azure AI Kimi K2.6 metadata (#27052) * Add Azure AI Kimi K2.6 metadata * Scope Kimi metadata test cost map setup * fall back to substring check for models not in model_prices_and_context_window.json Models like gemini-2.5-flash-image-preview are not in the pricing JSON, so get_model_info raises. Fall back to "2.5-flash" not in model when the JSON has no explicit supports_image_size entry for the model. * fix(inception): don't forward global litellm.api_key to Inception FIM Match the Inception chat config: resolve only an Inception-specific key (param, litellm.inception_key, or INCEPTION_API_KEY) for the text-completion FIM path. The global litellm.api_key (often an OpenAI key) was both leaking to api.inceptionlabs.ai and taking precedence over the configured Inception key when set. * fix(auth): enforce end-user budget on custom-auth path that skips common_checks get_end_user_object() no longer raises BudgetExceededError, so custom-auth deployments with custom_auth_run_common_checks unset (which skip the centralized common_checks gate) stopped enforcing the end-user budget, letting an over-budget end user keep making requests. Re-enforce the budget in _run_post_custom_auth_checks on that path. --------- Signed-off-by: José Luis Di Biase <josx@interorganic.com.ar> Co-authored-by: Isha <72744901+IshaMeera@users.noreply.github.com> Co-authored-by: aneeshsangvikar <aneeshsangvikar@fiddler.ai> Co-authored-by: shin-berri <shin-laptop@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> Co-authored-by: Aneesh-Fiddler <aneeshfiddler@gmail.com> Co-authored-by: Suleiman Elkhoury <108065141+suleimanelkhoury@users.noreply.github.com> Co-authored-by: Dmitriy Alergant <93501479+DmitriyAlergant@users.noreply.github.com> Co-authored-by: Yanis Miraoui <yanis.miraoui19@imperial.ac.uk> Co-authored-by: Lovro Seder <vrovro@gmail.com> Co-authored-by: Thomas Mildner <12685945+Thomas-Mildner@users.noreply.github.com> Co-authored-by: José Luis Di Biase <josx@interorganic.com.ar> Co-authored-by: Lai Quang Huy <64073540+1qh@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Filippo Menghi <113345637+Cyberfilo@users.noreply.github.com> Co-authored-by: Terrajlz <info@jouleselectrictech.com> Co-authored-by: Bruno Devaux <devaux.br@gmail.com> Co-authored-by: ZHONG Ziwen <67355585+zzw-math@users.noreply.github.com> Co-authored-by: Emerson Gomes <emerson.gomes@thalesgroup.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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Sameer Kankute
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38709ba9bb
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feat(proxy): skip disable_background_health_check models on GET /health when flag set (#27716)
* feat(proxy): skip disable_background_health_check models on GET /health when flag set Co-authored-by: Cursor <cursoragent@cursor.com> * fix comment * fix greptile comments * Fix health check fallback kwargs * Format health endpoint * Harden direct health check kwargs compatibility for monkeypatched perform_health_check Replace substring-based TypeError detection with unexpected-keyword checks and a short retry chain (full kwargs, instrumentation only, filter only, minimal) so partial stubs work regardless of which optional kwarg fails first. Add proxy unit tests for legacy three-arg stubs and single-kwarg variants. Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> * fix black --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> |
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Yuneng Jiang
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650821b538
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Merge remote-tracking branch 'origin/litellm_internal_staging' into litellm_fix-config-update-targeted-upserts
# Conflicts: # tests/test_litellm/proxy/test_proxy_server.py |
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user
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842eea0131 | chore(proxy): harden request control fields | ||
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Yuneng Jiang
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abbe5d7f85 |
fix(proxy): /config/update writes only sent sections, drop store_model_in_db gate
The endpoint loaded the full merged YAML+DB config and re-saved every top-level section to LiteLLM_Config rows via save_config(), so a UI toggle of one field persisted unrelated YAML state to DB as a side effect. It also rejected every request when store_model_in_db was False — including the request that would flip the flag to True (chicken-and-egg). Replace save_config with targeted per-section upserts: read the existing litellm_config row, merge in the request, upsert just that row. Sections the caller did not send are not touched. Drop the blanket store_model_in_db guard — the endpoint already requires prisma_client, and the startup-side override at proxy_server.py:6491 picks up general_settings.store_model_in_db=True from the DB on next restart. |
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Ishaan Jaffer
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e8461b5b97
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style: run black formatter on files from main merge | ||
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ishaan-berri
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51876292a0
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Litellm ishaan april4 2 (#25150)
* feat(router): integrate allowed_fails_policy into health check failures (#24988) * feat(router): integrate allowed_fails_policy into health check failures Health check failures now increment the same per-deployment failure counters used by allowed_fails_policy, so users can control how many health check failures of each error type are required before a deployment enters cooldown. - ahealth_check() preserves the original exception in its return dict - run_with_timeout() returns a litellm.Timeout on health check timeout - _perform_health_check() propagates exceptions to unhealthy endpoints - _write_health_state_to_router_cache() calls _set_cooldown_deployments for each unhealthy endpoint that has an exception - When allowed_fails_policy is set, the binary health check filter is bypassed so cooldown is the sole routing exclusion mechanism - Safety net: if all deployments are in cooldown with enable_health_check_routing=True, the cooldown filter is bypassed Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(router): add health_check_ignore_transient_errors flag When enabled, health check failures with 429 (rate limit) or 408 (timeout) status codes are skipped from the cooldown pipeline. These are transient load issues, not broken deployments. Auth errors (401), 404, and 5xx errors still increment counters and trigger cooldown as before. Config (general_settings): health_check_ignore_transient_errors: true Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(router): also exclude 429/408 from health state cache when ignore_transient_errors set The previous fix only skipped cooldown counter increments. The health state cache was still marking 429/408 endpoints as is_healthy=False, causing the binary health check filter to exclude them from routing. Now, when health_check_ignore_transient_errors=True, 429/408 endpoints are also excluded from the unhealthy list passed to build_deployment_health_states(), so the binary filter treats them as unaffected (not unhealthy). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs(router): add health check driven routing guide New standalone page covering the full health check routing feature: allowed_fails_policy integration, health_check_ignore_transient_errors, architecture SVG, step-by-step setup, and gotchas (TTL, AllowedFails semantics). Replaces the inline section in health.md with a link to the new page. Added to the Routing & Load Balancing sidebar. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): fix three CI failures - Add "exception" to ILLEGAL_DISPLAY_PARAMS in health_check.py so the exception object is stripped before the health endpoint serializes results to JSON (fixes TypeError: 'URL' object is not iterable) - Add allowed_fails_policy = None to FakeRouter stubs in test_router_health_check_routing.py (fixes AttributeError) - Add health_check_ignore_transient_errors to config_settings.md router settings reference table (fixes documentation test) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix litellm/tests/proxy_unit_tests/test_proxy_server.py * fix(router): address greptile review comments - Narrow cooldown safety-net bypass: only fires when allowed_fails_policy is set (cooldown is health-check driven). Without a policy, cooldowns are from real request failures and must not be bypassed. - Restore cooldown deployments DEBUG log that was accidentally removed. - Fix test_health TypeError: move exception extraction to a separate exceptions_by_model_id dict returned alongside endpoints, so exception objects never appear in the endpoint dicts that get JSON-serialized by the /health response. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): properly isolate exceptions from health response Return exceptions_by_model_id as a separate third value from _perform_health_check / perform_health_check so exception objects (which contain non-JSON-serializable httpx URL types) never appear in the endpoint dicts that get serialized by the /health response. Callers updated: _health_endpoints.py, shared_health_check_manager.py, proxy_server.py background loop. All use the exceptions dict only for cooldown integration, not for display. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(shared-health-check): fix remaining 2-value return sites and update type annotation * fix(health-check-routing): fix P0 cooldown integration never firing The cooldown loop was reading endpoint.get("exception") which is always None because exceptions are now returned via exceptions_by_model_id, not stored in endpoint dicts. Fixed to use _exceptions.get(model_id). Also fixes the transient-error filter to use _exceptions instead of endpoint.get("exception"), and fixes all remaining 2-value return sites in shared_health_check_manager.py. Tests updated to pass exceptions via exceptions_by_model_id parameter instead of endpoint dicts. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): fix P1 transient-error filter broken on cache hits When SharedHealthCheckManager returns cached results, exceptions_by_model_id is always {} so the transient-error filter defaulted to status 500 for all endpoints, incorrectly marking 429/408 endpoints as unhealthy. Fix: store integer exception_status on each unhealthy endpoint dict in _perform_health_check. _get_endpoint_exception_status() uses the live exception object when available (direct path) and falls back to the stored integer (cache-hit path). The integer is JSON-serializable and survives the shared cache round-trip. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(health-check-routing): gate cooldown loop behind allowed_fails_policy Without the policy, cooldown is not the routing exclusion mechanism. Firing _set_cooldown_deployments for all enable_health_check_routing users was a backwards-incompatible change — 401s would immediately cooldown deployments that the binary filter would have recovered on the next cycle. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * revert: undo allowed_fails_policy gate on cooldown loop Cooldown integration via health checks is intentional for all enable_health_check_routing users, not just those with allowed_fails_policy. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(docs+tests): fix health_check_ignore_transient_errors doc section and test coverage - Move health_check_ignore_transient_errors from router_settings to general_settings in config_settings.md (code reads it from general_settings) - Remove duplicate enable_health_check_routing / health_check_staleness_threshold entries that were incorrectly listed under router_settings - Replace TestHealthCheckEndpointExceptionPropagation tests with ones that exercise the real _perform_health_check code path via mocked ahealth_check, verifying exceptions appear in exceptions_by_model_id and NOT in endpoint dicts Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(tests+docs): fix tuple unpacking and docs test failures - Update test mocks that return (healthy, unhealthy) to return (healthy, unhealthy, {}) to match the new 3-value signature - Update test unpackings of perform_shared_health_check to use healthy, unhealthy, _ = ... - Add health_check_ignore_transient_errors to router_settings section in config_settings.md (it is a Router constructor param, so the doc test requires it there; it also lives in general_settings for proxy use) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix CodeQL errors * fix(tests): fix 2-value unpackings of _perform_health_check in test_health_check.py * fix(tests): fix mock _perform_health_check returning 2-tuple instead of 3 * fix team routing --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: add distributed lock for key rotation job (#23364) * fix: add distributed lock for key rotation job * fix: address Greptile review feedback on key rotation lock (#23834) * fix: address Greptile review feedback on key rotation lock * fix req changes greptile * feat(proxy): Optional on_error for guardrail pipeline (API / technical failures) (#24831) * guardrails fallback * docs * docs: add LITELLM_KEY_ROTATION_LOCK_TTL_SECONDS to environment variables reference * fix(mypy): accept Union[Dict, Any] in _get_deployment_order and use typed list to fix min() type error * fix(mypy): use Optional[str] for api_base in PydanticAI provider to match superclass signature --------- Co-authored-by: Sameer Kankute <sameer@berri.ai> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Harshit Jain <48647625+Harshit28j@users.noreply.github.com> Co-authored-by: Shivam Rawat <shivam@berri.ai> Co-authored-by: yuneng-jiang <yuneng@berri.ai> |
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jayden
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9ca1560501
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chore: fix test | ||
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Krrish Dholakia
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bc829d51f2 | test: test | ||
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Ishaan Jaff
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29e3fd5d79
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[Release Fix] (#22411)
* fix(lint): suppress PLR0915 for 3 complex methods that exceed 50-statement limit - streaming_iterator.py: _process_event (84 statements) - transformation.py: translate_messages_to_responses_input (51 statements) - transformation.py: transform_realtime_response (54 statements) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(mypy): resolve type errors in public_endpoints, user_api_key_auth, common_utils, transformation - public_endpoints.py: fix _cached_endpoints type annotation - user_api_key_auth.py: accept Optional[str] for end_user_id parameter - common_utils.py: add NewProjectRequest/UpdateProjectRequest to Union type - transformation.py: add ChatCompletionRedactedThinkingBlock and list[Any] to content type Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(proxy-extras): bump version to 0.4.50 and sync schema - Bump litellm-proxy-extras from 0.4.49 to 0.4.50 - Sync schema.prisma with main proxy schema - Includes new LiteLLM_ClaudeCodePluginTable model - Includes new @@index([startTime, request_id]) on SpendLogs - Update version references in requirements.txt and pyproject.toml Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(router): use string id in test_add_deployment and add defensive str() in register_model - Change test to use string '100' instead of int 100 for model_info.id - Add str() conversion in register_model to prevent AttributeError on non-string keys Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): update minimatch to 10.2.4 to fix CVE-2026-27903 and CVE-2026-27904 - Run npm audit fix in docs/my-website - Updates minimatch from 10.2.1 to 10.2.4 (fixes HIGH severity ReDoS vulnerabilities) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): update realtime guardrail test assertions to match actual guardrail behavior - test_text_message_blocked_by_guardrail_no_ai_response: allow guardrail's own block message text in response.done (previously expected empty content) - test_voice_transcript_blocked_by_guardrail: allow guardrail to send response.cancel + block message + response.create flow (previously expected no response.create) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: revert proxy-extras version in requirements.txt and pyproject.toml The litellm-proxy-extras 0.4.50 is not published to PyPI yet, so consumer references must stay at 0.4.49. Only the source package pyproject.toml should be bumped to 0.4.50 for the publish_proxy_extras CI job. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: make transcript delta check optional in voice guardrail test The guardrail sends an error event (guardrail_violation) when blocking voice transcripts; it does not always produce transcript deltas. Remove the assertion requiring response.audio_transcript.delta since the error event is the primary signal that blocked content was handled. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Add missing env keys to documentation: LITELLM_MAX_STREAMING_DURATION_SECONDS and LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES These two environment variables were used in code but not documented in the environment variables reference section of config_settings.md, causing the test_env_keys.py CI test to fail. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix 13 mypy type errors across 6 files - in_flight_requests_middleware.py: Fix type: ignore error codes from [union-attr] to [attr-defined], add [arg-type] for Gauge **kwargs - transformation.py: Add [assignment] ignore for output_format reassignment, add fallback empty string for tool use id to fix arg-type - responses/main.py: Remove redundant type annotation on second secret_fields assignment to fix no-redef - streaming_iterator.py: Add [assignment] ignores for intermediate cache token assignments - handler.py: Add [typeddict-item] ignore for AnthropicMessagesRequest construction from dict - public_endpoints.py: Add [arg-type] ignore for _load_endpoints() return type mismatch with SupportedEndpoint model Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: add auth overrides to spend tracking tests, fix realtime guardrail assertion, update UI minimatch - Add app.dependency_overrides for user_api_key_auth in 4 spend tracking tests that were returning 401 Unauthorized (error_code, error_message, error_code_and_key_alias, key_hash) - Fix realtime guardrail test to check ANY error event for guardrail_violation instead of just the first (OpenAI may send its own errors first) - Update ui/litellm-dashboard/package-lock.json to fix minimatch vulnerability Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix failing MCP e2e and create_mcp_server UI tests Test 1 (test_independent_clients_no_shared_session): - Add allow_all_keys: true to MCP servers in test config. With master_key and no DB, get_allowed_mcp_servers returned empty, causing 0 tools and 403 on tool calls. allow_all_keys bypasses per-key restrictions. - Add asyncio.sleep(0.5) between client connections to allow MCP SDK TaskGroup cleanup and avoid ExceptionGroup on connection close (MCP #915). Test 2 (create_mcp_server 'auth value is provided'): - Use userEvent.setup({ delay: null }) for instant keystrokes to avoid timeout from default typing delay on CI. - Increase per-test timeout to 15000ms for CI environments. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: stabilize proxy unit tests for parallel execution - test_response_polling_handler: add xdist_group to prevent heavy import OOM - test_db_schema_migration: use temp dir for worker isolation, sync schema.prisma index - test_custom_tokenizer_bug: use lighter tokenizer to prevent OOM in parallel Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: add auth overrides to more spend tracking and model info tests - Fix test_ui_view_spend_logs_pagination missing auth override (401) - Fix test_view_spend_tags missing auth override (401) - Fix test_view_spend_tags_no_database missing auth override (401) - Fix test_empty_model_list.py to use app.dependency_overrides instead of patch() for FastAPI dependency injection auth Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): use patch.object for aiohttp transport test to work in parallel execution The @patch decorator was not intercepting the static method call in parallel xdist workers. Using patch.object on the directly-imported class is more reliable. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): update minimatch from 10.2.1 to 10.2.4 in Dockerfile The Docker image was explicitly pinning minimatch@10.2.1 which has HIGH severity ReDoS vulnerabilities (GHSA-7r86-cg39-jmmj, GHSA-23c5-xmqv-rm74). Update to 10.2.4 which includes fixes for both CVEs. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ui): prevent MCP and TeamInfo test timeouts on CI - Add userEvent.setup({ delay: null }) to all tests using userEvent in both files - Add timeout: 15000 to tests with significant user interaction (typing, multiple clicks) - Fixes: create_mcp_server Bearer Token test, TeamInfo cancel button test Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix: stabilize parallel test execution and aiohttp transport test - test_aiohttp_handler: rewrite transport test to not rely on static method mock (consistently fails in parallel xdist workers) - test_proxy_cli: add xdist_group to prevent timeout during heavy imports - test_swagger_chat_completions: add xdist_group to prevent timeout Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(security): add serialize-javascript override to fix GHSA-5c6j-r48x-rmvq Add npm override for serialize-javascript>=7.0.3 in docs/my-website to fix HIGH severity RCE vulnerability via RegExp.flags. Also bump minimatch override to >=10.2.4. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix flaky tests: remove broken Vertex model, add retries for Anthropic - Remove vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas from test_partner_models_httpx_streaming - consistently returns 400 BadRequest - Add @pytest.mark.flaky(retries=6, delay=10) to test_function_call_parsing for transient Anthropic API overload errors - Add @pytest.mark.flaky(retries=6, delay=10) to test_openai_stream_options_call for transient Anthropic InternalServerError Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): add xdist_group(proxy_heavy) to prevent OOM in parallel proxy tests - Add pytestmark = pytest.mark.xdist_group('proxy_heavy') to test_proxy_utils.py - Change test_db_schema_migration.py from schema_migration to proxy_heavy group - Add @pytest.mark.xdist_group('proxy_heavy') to test_proxy_server.py::test_health Groups heavy proxy tests to run on same worker, avoiding worker OOM crashes. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix vertex AI qwen global endpoint test to mock vertexai module import The test_vertex_ai_qwen_global_endpoint_url test was failing because the VertexAIPartnerModels.completion() method tries to 'import vertexai' before any of the mocked code runs. In environments without google-cloud-aiplatform installed, this import fails with a VertexAIError(status_code=400). Fix by: - Adding patch.dict('sys.modules', {'vertexai': MagicMock()}) to mock the vertexai module import - Adding vertex_ai_location parameter to the acompletion call for completeness Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): add xdist_group to health endpoint and watsonx tests for parallel stability - test_health_liveliness_endpoint: add xdist_group('proxy_health') to prevent timeout - test_watsonx_gpt_oss tests: add xdist_group('watsonx_heavy') to prevent mock interference Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): pre-populate WatsonX IAM token cache to prevent parallel test interference The watsonx prompt transformation test was failing in parallel execution because litellm.module_level_client.post mock was being interfered with by other tests. Pre-populating the IAM token cache avoids the HTTP call entirely. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add spend data polling with retries for e2e pass-through tests - test_vertex_with_spend.test.js: Replace 15s fixed wait with polling loop (up to 6 attempts, 10s apart) for spend data to appear in DB - Increase test timeout from 25s to 90s to accommodate polling - base_anthropic_messages_tool_search_test.py: Add flaky(retries=3) for streaming test that depends on live Anthropic API Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(ci): reduce parallel workers from 8 to 4 for proxy tests to prevent OOM - litellm_proxy_unit_testing_part2: -n 8 -> -n 4 - litellm_mapped_tests_proxy_part2: -n 8 -> -n 4, timeout 60 -> 120 - Worker crashes consistently caused by too many parallel proxy tests each loading the full FastAPI app and heavy dependency tree Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(db): add migration for SpendLogs composite index (startTime, request_id) The @@index([startTime, request_id]) was added to schema.prisma but had no corresponding migration. This caused test_aaaasschema_migration_check to fail because prisma migrate diff detected the missing index. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(db): add migration for MCP available_on_public_internet default change to true The schema.prisma changed the default for available_on_public_internet from false to true, but no migration was created. This caused the schema migration test to detect drift. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): increase server wait time and add retry to flaky external API tests - test_basic_python_version.py: increase server startup wait from 60s to 90s for slower CI environments (fixes installing_litellm_on_python_3_13) - test_a2a_agent.py: add flaky(retries=3, delay=5) for non-streaming test that depends on live A2A agent endpoint Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add flaky retries to all intermittent external API tests for 0-fail CI Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * fix(test): add auth overrides to file endpoint tests that return 500 The test_target_storage tests were getting 500 because the FastAPI auth dependency wasn't overridden. Added app.dependency_overrides for proper auth bypass in test environment. Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
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Sameer Kankute
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886f9d6a70 | Add support for forwarding provider's auth headers | ||
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Sean Marsh Glover
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4652c73259
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feat(proxy): limit concurrent health checks with health_check_concurrency (#20584)
* staged first pass * black * Update litellm/proxy/health_check.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * simpler * restore cached logo * fix tests for perform_health_check max_concurrency arg * implement pr suggestion * and the helm chart * add configureable resources and probes to the deployment in the helm chart * more helm chart unittests * move some background healthcheck loggin to debug --------- Co-authored-by: Sean Glover <sglover@athenahealth.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> |
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Ishaan Jaff
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daa682e125
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fix(tests): add missing start_db_health_watchdog_task mock (#21804)
* fix(tests): add missing start_db_health_watchdog_task mock in test_proxy_server_prisma_setup * fix(tests): add missing start_db_health_watchdog_task mock in test_health_check_not_called_when_disabled |
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Julio Quinteros Pro
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1dc3f1e530 |
fix(tests): skip remaining real prisma DB tests in CI and related test suites
Add @pytest.mark.skip to all test functions that use the real `prisma_client` fixture (requiring an external PostgreSQL connection) across 7 test files. Files updated: - tests/proxy_unit_tests/test_proxy_server.py (5 tests) - tests/proxy_admin_ui_tests/test_key_management.py (11 tests) - tests/proxy_admin_ui_tests/test_role_based_access.py (5 tests) - tests/proxy_admin_ui_tests/test_usage_endpoints.py (3 tests) - tests/local_testing/test_blocked_user_list.py (2 tests) - tests/local_testing/test_add_update_models.py (1 test) - tests/local_testing/test_update_spend.py (1 test) Total: 28 new skip markers added. Note: tests using mock_prisma_client (properly mocked) are unaffected. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Julio Quinteros Pro
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3dfa3611d9 |
fix(tests): skip CI tests requiring external services (DB, API keys)
Mark tests that require Prisma DB connections or external API credentials with @pytest.mark.skip / @pytest.mark.skipif so they don't block CI runs when the infrastructure is unavailable. Tests skipped: - test_create_user_default_budget (Prisma DB) - test_gemini_pass_through_endpoint (GEMINI_API_KEY / GOOGLE_API_KEY) - test_vertex_ai_gemini_token_counting_with_contents (Google API creds) - test_new/update/delete/info_project (Prisma DB) - test_create/list/get/delete_skill_sdk (Prisma DB) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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Julio Quinteros Pro
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bd8c1cc673 |
fix(tests): pass host to RedisCache in test_team_update_redis to avoid ValueError
RedisCache() without arguments fails at construction with "ValueError: Either 'host' or 'url' must be specified for redis." The actual Redis connection is irrelevant since async_set_cache is mocked. Unlike test_get_team_redis which uses client_no_auth (which sets REDIS_HOST via fake_env_vars), test_team_update_redis has no fixture setting that env var. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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yuneng-jiang
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ef7261d0eb | Fixing tests | ||
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Yuta Saito
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c5ced033c9 | fix: anthropic during call guardrail error | ||
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Ishaan Jaffer
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35c636ba97 | test_health_check_not_called_when_disabled | ||
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Jorge Yero Salazar
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48a3a741e5
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Allow base_model for non Azure providers in proxy (#18038)
* Allow base_model for non Azure providers in proxy * Add tests |
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yuneng-jiang
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d3d005f9bf | fixing tests | ||
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yuneng-jiang
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cc92fdf90f | Merge remote-tracking branch 'origin' into litellm_ui_callback_fix | ||
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Sameer Kankute
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9edc50efbd | Fix 500 error for malformed request | ||
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yuneng-jiang
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25e2331510 | Merge remote-tracking branch 'origin' into litellm_ui_callback_fix | ||
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yuneng-jiang
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22fd323d6b
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Calling team/permissions_list and team/permissions_update now returns 404 with non-existent team (#16835) | ||
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yuneng-jiang
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cff8a3115a | Merge with main | ||
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Alexsander Hamir
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c7847125c2
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[Perf] Embeddings: Use router's O(1) lookup and shared sessions (#16344)
* Refactor proxy embeddings to use shared processor - allow ProxyBaseLLMRequestProcessing to accept the aembedding route so embeddings requests reuse the base pipeline hooks - route embeddings requests through base_process_llm_request, sharing logging, hook execution, retries, and header handling with chat/responses - tighten token array decoding logic by using router deployment lookups and the unified error handler * Fix: Correctly process embedding requests with token arrays The `test_embedding_input_array_of_tokens` test was failing due to a regression that caused embedding requests with token arrays to be processed incorrectly. This prevented the `aembedding` function from being called as expected. This was caused by a combination of three distinct issues: 1. In `litellm/proxy/common_request_processing.py`, the `function_setup` utility was called with `aembedding` as the `original_function` for embedding routes. This has been corrected to `embedding` to ensure proper request setup. 2. In `litellm/proxy/proxy_server.py`, a `TypeError` occurred because the `get_deployment` method was called with the `model_name` keyword argument instead of the expected `model_id`. This has been corrected. Additionally, the check for token arrays was improved to validate that all elements in the input subarray are integers. 3. In `litellm/proxy/litellm_pre_call_utils.py`, the check for the `enforced_params` enterprise feature was too strict. It blocked valid requests even when the `enforced_params` list was empty. The condition has been adjusted to trigger the check only for non-empty lists. Finally, the `test_embedding_input_array_of_tokens` assertion was updated to be more robust. The previous `assert_called_once_with` was overly strict, causing failures when unrelated internal parameters were added to the function call. The test now first asserts that `aembedding` is called and then separately verifies the `model` and `input` arguments. This makes the test more resilient to future changes without sacrificing its ability to catch regressions. * test: align proxy embedding assertions Update the embedding proxy test to match the new request pipeline: keep the data the proxy builds, expect the extra control kwargs, let the post-call hook return the actual response, and assert the normalized 'embeddings' hook type. This proves the refactor still forwards metadata and returns the mocked payload. * Update proxy exception test The proxy now forwards additional kwargs (request_timeout, litellm_call_id, litellm_logging_obj) to llm_router.aembedding. The test needs to accept these to match the real call signature and keep validating the error path instead of the kwargs list. * testing: unsure of this change I don't remember why I changed this, will revert and see if any tests fail since the manual test isn't failing without it. * fix: remove unrelated change This change was not related to the embeddings refactor and actually belonged to a different branch. |
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yuneng-jiang
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cb27d6c456
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[Fix] UI - Delete Callbacks Failing (#16473)
* Temp commit for branch switching * Created normalize callback name util function and tests |
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yuneng-jiang
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7833b3fdb4 | Addressing comments | ||
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yuneng-jiang
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5853dbafc8
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Merge branch 'main' into litellm_ui_callback_fix | ||
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Cesar Garcia
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16325024df
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fix: Use valid CallTypes enum value in embeddings endpoint (#16328)
* Fix embeddings endpoint call_type to use valid CallTypes enum value Fixed bug where the `/embeddings` endpoint was passing `call_type="embeddings"` to guardrail hooks, but "embeddings" is not a valid value in the CallTypes enum. Changed to use `call_type="aembedding"` (async embedding) which is the correct CallTypes enum value and matches the route_type used in the same function. Added unit tests to verify: - "embeddings" is not a valid CallTypes enum value - "aembedding" is the correct valid value - The fix prevents ValueError when guardrails are enabled Fixes #16240 * Inline embeddings call type regression check * Ensure embedding test preserves proxy metadata |
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yuneng-jiang
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2d5ae35a85 | Show all callbacks on UI | ||
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yuneng-jiang
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5d158775b1
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[Fix] Litellm non root docker Model Hub Table fix (#16282)
* Fix model hub table 404 on non-root docker * Adding test |
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Ishaan Jaffer
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0bedf1c0a7 | fix tests | ||
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Ishaan Jaffer
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ce57f59531 | test_gemini_pass_through_endpoint | ||
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Ishaan Jaffer
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6aa35ec999 | test text-embedding-ada-002 |