From e1afe2e29cee700710faa85063a9a0f7927104f6 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 16:42:15 -0700 Subject: [PATCH 001/120] test(e2e): bound the post-/model/new servable wait at 40s _await_model_servable used poll_timeout (120s), the spend/log read-back budget. A stuck model reload therefore stalled every suite that creates a deployment for two minutes before failing Give create_model a fixed harness middle ground: model_servable_timeout=40s, polled every 2s, with each /v1/models call capped at 5s and clamped to the remaining deadline so one slow GET cannot overrun the wait. Happy path still returns on the first listing. Not derived from proxy general_settings or env Transport.get accepts an optional per-call timeout for that clamp. Unit tests cover the deadline arithmetic and clamp without a live proxy (cherry picked from commit c082a0e6488f50978bf5255f6b5298ba7e8fd8da) --- tests/e2e/proxy_client.py | 134 ++++++++++-- tests/e2e/test_proxy_client_model_servable.py | 190 ++++++++++++++++++ tests/e2e/transport.py | 13 +- 3 files changed, 313 insertions(+), 24 deletions(-) create mode 100644 tests/e2e/test_proxy_client_model_servable.py diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index 6c6b948e29c..87693175e62 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -75,12 +75,95 @@ from transport import HttpTransport, SplitTransport, Transport RowsPredicate = Callable[[list[SpendLogRow]], bool] +# After /model/new, poll the data plane until the model is listed (or fail). +# Shorter than poll_timeout (spend/log read-backs ~120s); longer than a single +# request. 40s is the harness middle ground: happy path returns on the first +# poll, a stuck reload fails in under a minute instead of two. +MODEL_SERVABLE_TIMEOUT = 40.0 +MODEL_SERVABLE_INTERVAL = 2.0 +# Cap each /v1/models poll so one slow request cannot outlast the budget. +# Clamped further to remaining deadline inside await_servable. +MODEL_SERVABLE_REQUEST_TIMEOUT = 5.0 + + +@dataclass(frozen=True, slots=True) +class Servable: + """The data plane listed the model within the deadline.""" + + +@dataclass(frozen=True, slots=True) +class NotServable: + """The deadline passed without the data plane listing the model. + + `last_result` is the final /v1/models read, so the caller can tell "the proxy + answered but omitted the model" (propagation) from "the read itself failed" + (network/auth) when reporting.""" + + last_result: Result[ModelsListResponse] | None + + +ServableOutcome = Servable | NotServable + + +def await_servable( + list_models: Callable[[float], Result[ModelsListResponse]], + *, + model_name: str, + timeout: float, + interval: float, + request_timeout: float, + now: Callable[[], float], + sleep: Callable[[float], None], +) -> ServableOutcome: + """Poll `list_models` until the data plane lists `model_name` or `timeout` elapses. + + `list_models` receives the per-poll request timeout, clamped to the remaining + deadline so a slow final poll cannot overrun the overall budget. Clock and sleep + are injected so this is exercised without wall-clock waits. Always polls at least + once when the loop starts with a positive budget.""" + deadline = now() + timeout + last_result: Result[ModelsListResponse] | None = None + while True: + remaining = deadline - now() + if remaining <= 0 and last_result is not None: + return NotServable(last_result=last_result) + poll_timeout = min(request_timeout, remaining) if remaining > 0 else request_timeout + last_result = list_models(poll_timeout) + if isinstance(last_result, Success) and any( + entry.id == model_name for entry in last_result.data.data + ): + return Servable() + if now() + interval >= deadline: + return NotServable(last_result=last_result) + sleep(interval) + + +def servable_timeout_message( + *, + model_name: str, + timeout: float, + last_result: Result[ModelsListResponse] | None, +) -> str: + last_error = ( + f"; last /v1/models poll did not succeed: {last_result}" + if last_result is not None and not isinstance(last_result, Success) + else "" + ) + return ( + f"model {model_name!r} was created but never became servable on the data " + f"plane within {timeout}s of /model/new (control/data-plane propagation or " + f"STORE_MODEL_IN_DB reload issue){last_error}" + ) + @dataclass(frozen=True, slots=True) class ProxyClient: transport: Transport poll_timeout: float = 120.0 poll_interval: float = 5.0 + model_servable_timeout: float = MODEL_SERVABLE_TIMEOUT + model_servable_interval: float = MODEL_SERVABLE_INTERVAL + model_servable_request_timeout: float = MODEL_SERVABLE_REQUEST_TIMEOUT # ---- keys / customers (satisfies lifecycle.ResourceClient) ---------- @@ -167,7 +250,12 @@ class ProxyClient: this returns can race the reload and 400 with "Invalid model name passed". We therefore poll the data-plane /v1/models until the model appears before handing back, so callers can invoke it immediately. In the monolithic case - it is already present on the first poll, so this adds one request.""" + it is already present on the first poll, so this adds one request. + + The wait is bounded by `model_servable_timeout` rather than the much longer + `poll_timeout` used for batched read-backs, so a stuck reload fails in under + a minute instead of two. Happy path still returns as soon as /v1/models lists + the model (usually the first poll).""" model_id = unwrap( self.transport.post( "/model/new", @@ -185,32 +273,34 @@ class ProxyClient: def _await_model_servable(self, model_name: str) -> None: """Block until the data plane lists `model_name`, or fail loudly if it does - not within poll_timeout (a real propagation/config problem, surfaced here - instead of as a downstream "Invalid model name passed").""" - deadline = time.monotonic() + self.poll_timeout - last_result: Result[ModelsListResponse] | None = None - while time.monotonic() < deadline: - last_result = self.transport.get( + not within model_servable_timeout (a real propagation/config problem, + surfaced here instead of as a downstream "Invalid model name passed").""" + outcome = await_servable( + lambda poll_timeout: self.transport.get( "/v1/models", headers=self.transport.master, params=NoBody(), response_type=ModelsListResponse, - ) - if isinstance(last_result, Success) and any( - entry.id == model_name for entry in last_result.data.data - ): + timeout=poll_timeout, + ), + model_name=model_name, + timeout=self.model_servable_timeout, + interval=self.model_servable_interval, + request_timeout=self.model_servable_request_timeout, + now=time.monotonic, + sleep=time.sleep, + ) + match outcome: + case Servable(): return - time.sleep(self.poll_interval) - last_error = ( - f"; last /v1/models poll did not succeed: {last_result}" - if last_result is not None and not isinstance(last_result, Success) - else "" - ) - raise AssertionError( - f"model {model_name!r} was created but never became servable on the data " - f"plane within {self.poll_timeout}s of /model/new (control/data-plane " - f"propagation or STORE_MODEL_IN_DB reload issue){last_error}" - ) + case NotServable(last_result=last_result): + raise AssertionError( + servable_timeout_message( + model_name=model_name, + timeout=self.model_servable_timeout, + last_result=last_result, + ) + ) def update_model(self, model_id: str, litellm_params: LiteLLMParamsBody) -> None: """Merge `litellm_params` over the deployment `model_id`'s stored params via diff --git a/tests/e2e/test_proxy_client_model_servable.py b/tests/e2e/test_proxy_client_model_servable.py new file mode 100644 index 00000000000..0cc63f882e2 --- /dev/null +++ b/tests/e2e/test_proxy_client_model_servable.py @@ -0,0 +1,190 @@ +"""Harness coverage for the bounded wait after /model/new (no live proxy). + +Model propagation is polled to a deadline so a stuck control/data-plane reload fails +fast instead of stalling every test that creates a model. The clock and sleep are +injected, so these assert the deadline arithmetic without waiting. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field + +from e2e_http import NetworkError, Result, Success +from models import ModelListEntry, ModelsListResponse +from proxy_client import ( + MODEL_SERVABLE_REQUEST_TIMEOUT, + MODEL_SERVABLE_TIMEOUT, + NotServable, + Servable, + await_servable, + servable_timeout_message, +) + + +def _listing(*model_names: str) -> Result[ModelsListResponse]: + return Success( + status_code=200, + data=ModelsListResponse(data=tuple(ModelListEntry(id=name) for name in model_names)), + ) + + +@dataclass(slots=True) +class FakeClock: + """A clock that only advances when the code under test sleeps or a slow poll runs.""" + + seconds: float = 0.0 + slept: list[float] = field(default_factory=list) # mutable-ok: records calls for assertions + + def now(self) -> float: + return self.seconds + + def sleep(self, duration: float) -> None: + self.slept.append(duration) + self.seconds += duration + + +@dataclass(slots=True) +class FakeModelList: + """Returns each queued /v1/models read in turn, repeating the last forever.""" + + responses: tuple[Result[ModelsListResponse], ...] + calls: int = 0 + timeouts: list[float] = field(default_factory=list) # mutable-ok: records call timeouts + + def __call__(self, request_timeout: float) -> Result[ModelsListResponse]: + self.timeouts.append(request_timeout) + response = self.responses[min(self.calls, len(self.responses) - 1)] + self.calls += 1 + return response + + +def test_returns_servable_on_first_listing_without_sleeping() -> None: + clock = FakeClock() + list_models = FakeModelList(responses=(_listing("my-model"),)) + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=40.0, + interval=2.0, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert outcome == Servable() + assert list_models.calls == 1 + assert list_models.timeouts == [5.0] + assert clock.slept == [] + + +def test_polls_until_the_model_appears() -> None: + clock = FakeClock() + list_models = FakeModelList(responses=(_listing("other"), _listing("other"), _listing("other", "my-model"))) + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=40.0, + interval=2.0, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert outcome == Servable() + assert list_models.calls == 3 + assert clock.seconds == 4.0 + + +def test_gives_up_at_the_deadline_rather_than_polling_forever() -> None: + clock = FakeClock() + list_models = FakeModelList(responses=(_listing("other"),)) + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=10.0, + interval=2.0, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert isinstance(outcome, NotServable) + assert clock.seconds == 8.0 + assert list_models.calls == 5 + assert list_models.timeouts == [5.0, 5.0, 5.0, 4.0, 2.0] + + +def test_does_not_wait_past_the_overall_budget() -> None: + clock = FakeClock() + + outcome = await_servable( + FakeModelList(responses=(_listing("other"),)), + model_name="my-model", + timeout=MODEL_SERVABLE_TIMEOUT, + interval=2.0, + request_timeout=MODEL_SERVABLE_REQUEST_TIMEOUT, + now=clock.now, + sleep=clock.sleep, + ) + + assert isinstance(outcome, NotServable) + assert clock.seconds <= MODEL_SERVABLE_TIMEOUT + + +def test_clamps_request_timeout_to_remaining_deadline() -> None: + """A slow final poll must not receive the full request cap when less budget remains. + + Without the clamp, remaining=3 and cap=5 lets the transport block for 5s and the + overall wait overruns model_servable_timeout by up to ~cap seconds. + """ + clock = FakeClock() + timeouts: list[float] = [] + + def list_models(request_timeout: float) -> Result[ModelsListResponse]: + timeouts.append(request_timeout) + clock.seconds += request_timeout + return _listing("other") + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=10.0, + interval=2.0, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert isinstance(outcome, NotServable) + assert timeouts[0] == 5.0 + assert any(timeout < 5.0 for timeout in timeouts) + assert timeouts[-1] == 3.0 + assert clock.seconds <= 10.0 + + +def test_reports_a_failed_read_distinctly_from_a_missing_model() -> None: + clock = FakeClock() + unreachable: Result[ModelsListResponse] = NetworkError(message="connection refused") + + outcome = await_servable( + FakeModelList(responses=(unreachable,)), + model_name="my-model", + timeout=1.0, + interval=0.5, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert outcome == NotServable(last_result=unreachable) + message = servable_timeout_message(model_name="my-model", timeout=1.0, last_result=unreachable) + assert "connection refused" in message + + listed_without_model = _listing("other") + propagation_message = servable_timeout_message( + model_name="my-model", timeout=1.0, last_result=listed_without_model + ) + assert "did not succeed" not in propagation_message diff --git a/tests/e2e/transport.py b/tests/e2e/transport.py index a6adf83ed1f..27b11befc8e 100644 --- a/tests/e2e/transport.py +++ b/tests/e2e/transport.py @@ -58,6 +58,7 @@ class Transport(Protocol): headers: BaseModel, params: BaseModel, response_type: type[R], + timeout: float | None = None, ) -> Result[R]: ... def delete[R: BaseModel]( @@ -136,13 +137,16 @@ class HttpTransport: headers: BaseModel, params: BaseModel, response_type: type[R], + timeout: float | None = None, ) -> Result[R]: + """`timeout` overrides the transport-wide request_timeout for this call, for + pollers whose own deadline is shorter than it.""" return e2e_http.get( self._url(path), headers=headers, params=params, response_type=response_type, - timeout=self.request_timeout, + timeout=self.request_timeout if timeout is None else timeout, ) def delete[R: BaseModel]( @@ -336,9 +340,14 @@ class SplitTransport: headers: BaseModel, params: BaseModel, response_type: type[R], + timeout: float | None = None, ) -> Result[R]: return self._route(path).get( - path, headers=headers, params=params, response_type=response_type + path, + headers=headers, + params=params, + response_type=response_type, + timeout=timeout, ) def delete[R: BaseModel]( From 5aa66ea33e6c194f66d360e22292f22eddac38e7 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 17:09:20 -0700 Subject: [PATCH 002/120] fix(e2e): wait one default DB reload interval of continuous listing create_model returned after the first /v1/models hit that listed the model, so chat could still land on a cold gateway worker (numWorkers>1 / peer pod) and 400 Invalid model name. Require continuous listing for the product default add_deployment interval (30s) after first sight so every worker has synced from the DB; first listing still bounded at 40s (cherry picked from commit 7d1ee2ff861b970f6de3f6759ff015947af9d2a1) --- tests/e2e/proxy_client.py | 85 ++++++++---- tests/e2e/test_proxy_client_model_servable.py | 125 ++++++++++++------ 2 files changed, 148 insertions(+), 62 deletions(-) diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index 87693175e62..dfbb90ac08e 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -75,14 +75,17 @@ from transport import HttpTransport, SplitTransport, Transport RowsPredicate = Callable[[list[SpendLogRow]], bool] -# After /model/new, poll the data plane until the model is listed (or fail). -# Shorter than poll_timeout (spend/log read-backs ~120s); longer than a single -# request. 40s is the harness middle ground: happy path returns on the first -# poll, a stuck reload fails in under a minute instead of two. +# After /model/new, the control-plane writer reloads itself immediately, but every +# other gateway worker (and peer pod) only picks the model up on its add_deployment +# job. That job runs every proxy_config_reload_interval_seconds (product default 30). +# A single /v1/models hit can land on a hot worker while the next /chat hits a cold +# one ("Invalid model name"). Wait for first listing within MODEL_SERVABLE_TIMEOUT, +# then require continuous listing for MODEL_SERVABLE_DB_SYNC_SECONDS (the default +# reload interval) so every worker has had a chance to sync from the DB. MODEL_SERVABLE_TIMEOUT = 40.0 +MODEL_SERVABLE_DB_SYNC_SECONDS = 30.0 MODEL_SERVABLE_INTERVAL = 2.0 -# Cap each /v1/models poll so one slow request cannot outlast the budget. -# Clamped further to remaining deadline inside await_servable. +# Cap each /v1/models poll so one slow request cannot outlast the remaining budget. MODEL_SERVABLE_REQUEST_TIMEOUT = 5.0 @@ -112,29 +115,55 @@ def await_servable( timeout: float, interval: float, request_timeout: float, + db_sync_seconds: float, now: Callable[[], float], sleep: Callable[[float], None], ) -> ServableOutcome: - """Poll `list_models` until the data plane lists `model_name` or `timeout` elapses. + """Poll until `model_name` is listed long enough for every worker to DB-sync. - `list_models` receives the per-poll request timeout, clamped to the remaining - deadline so a slow final poll cannot overrun the overall budget. Clock and sleep - are injected so this is exercised without wall-clock waits. Always polls at least - once when the loop starts with a positive budget.""" - deadline = now() + timeout + First listing must happen within `timeout`. After that, the model must stay + listed continuously for `db_sync_seconds` (any miss resets the continuous + window). `db_sync_seconds=0` returns on the first listing. Each poll's request + timeout is clamped to the remaining budget. Clock and sleep are injected.""" + started = now() + first_seen_at: float | None = None last_result: Result[ModelsListResponse] | None = None while True: - remaining = deadline - now() + t = now() + if first_seen_at is None: + deadline = started + timeout + else: + deadline = first_seen_at + db_sync_seconds + remaining = deadline - t if remaining <= 0 and last_result is not None: + if first_seen_at is not None and db_sync_seconds <= 0: + return Servable() + if first_seen_at is not None and t - first_seen_at >= db_sync_seconds: + return Servable() return NotServable(last_result=last_result) poll_timeout = min(request_timeout, remaining) if remaining > 0 else request_timeout last_result = list_models(poll_timeout) - if isinstance(last_result, Success) and any( + listed = isinstance(last_result, Success) and any( entry.id == model_name for entry in last_result.data.data - ): + ) + t = now() + if not listed: + first_seen_at = None + elif first_seen_at is None: + first_seen_at = t + if db_sync_seconds <= 0: + return Servable() + elif t - first_seen_at >= db_sync_seconds: return Servable() - if now() + interval >= deadline: - return NotServable(last_result=last_result) + if first_seen_at is None: + if now() + interval >= started + timeout: + return NotServable(last_result=last_result) + elif now() + interval >= first_seen_at + db_sync_seconds: + # Final stretch: sleep only the remainder of the continuous window. + remainder = first_seen_at + db_sync_seconds - now() + if remainder > 0: + sleep(remainder) + continue sleep(interval) @@ -142,6 +171,7 @@ def servable_timeout_message( *, model_name: str, timeout: float, + db_sync_seconds: float, last_result: Result[ModelsListResponse] | None, ) -> str: last_error = ( @@ -151,7 +181,8 @@ def servable_timeout_message( ) return ( f"model {model_name!r} was created but never became servable on the data " - f"plane within {timeout}s of /model/new (control/data-plane propagation or " + f"plane within {timeout}s of first listing (plus {db_sync_seconds}s continuous " + f"DB sync) after /model/new (control/data-plane propagation or " f"STORE_MODEL_IN_DB reload issue){last_error}" ) @@ -162,6 +193,7 @@ class ProxyClient: poll_timeout: float = 120.0 poll_interval: float = 5.0 model_servable_timeout: float = MODEL_SERVABLE_TIMEOUT + model_servable_db_sync_seconds: float = MODEL_SERVABLE_DB_SYNC_SECONDS model_servable_interval: float = MODEL_SERVABLE_INTERVAL model_servable_request_timeout: float = MODEL_SERVABLE_REQUEST_TIMEOUT @@ -252,10 +284,10 @@ class ProxyClient: handing back, so callers can invoke it immediately. In the monolithic case it is already present on the first poll, so this adds one request. - The wait is bounded by `model_servable_timeout` rather than the much longer - `poll_timeout` used for batched read-backs, so a stuck reload fails in under - a minute instead of two. Happy path still returns as soon as /v1/models lists - the model (usually the first poll).""" + First listing must arrive within `model_servable_timeout` (not the longer + spend `poll_timeout`). The model must then stay listed for + `model_servable_db_sync_seconds` (product default DB reload interval) so every + gateway worker has run add_deployment before callers use the model.""" model_id = unwrap( self.transport.post( "/model/new", @@ -272,9 +304,10 @@ class ProxyClient: return model_id def _await_model_servable(self, model_name: str) -> None: - """Block until the data plane lists `model_name`, or fail loudly if it does - not within model_servable_timeout (a real propagation/config problem, - surfaced here instead of as a downstream "Invalid model name passed").""" + """Block until the data plane lists `model_name` long enough for DB sync. + + Fails if first listing misses model_servable_timeout, or if continuous listing + for model_servable_db_sync_seconds never holds (multi-worker / peer reload).""" outcome = await_servable( lambda poll_timeout: self.transport.get( "/v1/models", @@ -287,6 +320,7 @@ class ProxyClient: timeout=self.model_servable_timeout, interval=self.model_servable_interval, request_timeout=self.model_servable_request_timeout, + db_sync_seconds=self.model_servable_db_sync_seconds, now=time.monotonic, sleep=time.sleep, ) @@ -298,6 +332,7 @@ class ProxyClient: servable_timeout_message( model_name=model_name, timeout=self.model_servable_timeout, + db_sync_seconds=self.model_servable_db_sync_seconds, last_result=last_result, ) ) diff --git a/tests/e2e/test_proxy_client_model_servable.py b/tests/e2e/test_proxy_client_model_servable.py index 0cc63f882e2..c9edd148c2b 100644 --- a/tests/e2e/test_proxy_client_model_servable.py +++ b/tests/e2e/test_proxy_client_model_servable.py @@ -1,8 +1,9 @@ """Harness coverage for the bounded wait after /model/new (no live proxy). -Model propagation is polled to a deadline so a stuck control/data-plane reload fails -fast instead of stalling every test that creates a model. The clock and sleep are -injected, so these assert the deadline arithmetic without waiting. +create_model must wait for the product default DB reload interval of continuous +listing so multi-worker gateways finish add_deployment before callers use the +model. Clock and sleep are injected so these assert the deadline arithmetic +without wall-clock waits. """ from __future__ import annotations @@ -12,6 +13,7 @@ from dataclasses import dataclass, field from e2e_http import NetworkError, Result, Success from models import ModelListEntry, ModelsListResponse from proxy_client import ( + MODEL_SERVABLE_DB_SYNC_SECONDS, MODEL_SERVABLE_REQUEST_TIMEOUT, MODEL_SERVABLE_TIMEOUT, NotServable, @@ -30,8 +32,6 @@ def _listing(*model_names: str) -> Result[ModelsListResponse]: @dataclass(slots=True) class FakeClock: - """A clock that only advances when the code under test sleeps or a slow poll runs.""" - seconds: float = 0.0 slept: list[float] = field(default_factory=list) # mutable-ok: records calls for assertions @@ -45,8 +45,6 @@ class FakeClock: @dataclass(slots=True) class FakeModelList: - """Returns each queued /v1/models read in turn, repeating the last forever.""" - responses: tuple[Result[ModelsListResponse], ...] calls: int = 0 timeouts: list[float] = field(default_factory=list) # mutable-ok: records call timeouts @@ -58,7 +56,7 @@ class FakeModelList: return response -def test_returns_servable_on_first_listing_without_sleeping() -> None: +def test_returns_on_first_listing_when_db_sync_is_zero() -> None: clock = FakeClock() list_models = FakeModelList(responses=(_listing("my-model"),)) @@ -68,17 +66,64 @@ def test_returns_servable_on_first_listing_without_sleeping() -> None: timeout=40.0, interval=2.0, request_timeout=5.0, + db_sync_seconds=0.0, now=clock.now, sleep=clock.sleep, ) assert outcome == Servable() assert list_models.calls == 1 - assert list_models.timeouts == [5.0] assert clock.slept == [] -def test_polls_until_the_model_appears() -> None: +def test_requires_continuous_listing_for_default_db_sync_interval() -> None: + clock = FakeClock() + list_models = FakeModelList(responses=(_listing("my-model"),)) + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=40.0, + interval=2.0, + request_timeout=5.0, + db_sync_seconds=MODEL_SERVABLE_DB_SYNC_SECONDS, + now=clock.now, + sleep=clock.sleep, + ) + + assert outcome == Servable() + assert clock.seconds >= MODEL_SERVABLE_DB_SYNC_SECONDS + assert list_models.calls >= 2 + + +def test_resets_db_sync_window_when_a_poll_misses() -> None: + clock = FakeClock() + list_models = FakeModelList( + responses=( + _listing("my-model"), + _listing("my-model"), + _listing("other"), + _listing("my-model"), + ) + ) + + outcome = await_servable( + list_models, + model_name="my-model", + timeout=40.0, + interval=2.0, + request_timeout=5.0, + db_sync_seconds=6.0, + now=clock.now, + sleep=clock.sleep, + ) + + assert outcome == Servable() + assert list_models.calls >= 4 + assert clock.seconds >= 6.0 + + +def test_polls_until_the_model_first_appears() -> None: clock = FakeClock() list_models = FakeModelList(responses=(_listing("other"), _listing("other"), _listing("other", "my-model"))) @@ -88,6 +133,7 @@ def test_polls_until_the_model_appears() -> None: timeout=40.0, interval=2.0, request_timeout=5.0, + db_sync_seconds=0.0, now=clock.now, sleep=clock.sleep, ) @@ -97,7 +143,7 @@ def test_polls_until_the_model_appears() -> None: assert clock.seconds == 4.0 -def test_gives_up_at_the_deadline_rather_than_polling_forever() -> None: +def test_gives_up_if_first_listing_never_arrives() -> None: clock = FakeClock() list_models = FakeModelList(responses=(_listing("other"),)) @@ -107,6 +153,7 @@ def test_gives_up_at_the_deadline_rather_than_polling_forever() -> None: timeout=10.0, interval=2.0, request_timeout=5.0, + db_sync_seconds=30.0, now=clock.now, sleep=clock.sleep, ) @@ -114,32 +161,9 @@ def test_gives_up_at_the_deadline_rather_than_polling_forever() -> None: assert isinstance(outcome, NotServable) assert clock.seconds == 8.0 assert list_models.calls == 5 - assert list_models.timeouts == [5.0, 5.0, 5.0, 4.0, 2.0] - - -def test_does_not_wait_past_the_overall_budget() -> None: - clock = FakeClock() - - outcome = await_servable( - FakeModelList(responses=(_listing("other"),)), - model_name="my-model", - timeout=MODEL_SERVABLE_TIMEOUT, - interval=2.0, - request_timeout=MODEL_SERVABLE_REQUEST_TIMEOUT, - now=clock.now, - sleep=clock.sleep, - ) - - assert isinstance(outcome, NotServable) - assert clock.seconds <= MODEL_SERVABLE_TIMEOUT def test_clamps_request_timeout_to_remaining_deadline() -> None: - """A slow final poll must not receive the full request cap when less budget remains. - - Without the clamp, remaining=3 and cap=5 lets the transport block for 5s and the - overall wait overruns model_servable_timeout by up to ~cap seconds. - """ clock = FakeClock() timeouts: list[float] = [] @@ -154,6 +178,7 @@ def test_clamps_request_timeout_to_remaining_deadline() -> None: timeout=10.0, interval=2.0, request_timeout=5.0, + db_sync_seconds=30.0, now=clock.now, sleep=clock.sleep, ) @@ -161,10 +186,27 @@ def test_clamps_request_timeout_to_remaining_deadline() -> None: assert isinstance(outcome, NotServable) assert timeouts[0] == 5.0 assert any(timeout < 5.0 for timeout in timeouts) - assert timeouts[-1] == 3.0 assert clock.seconds <= 10.0 +def test_does_not_wait_past_first_listing_budget_when_missing() -> None: + clock = FakeClock() + + outcome = await_servable( + FakeModelList(responses=(_listing("other"),)), + model_name="my-model", + timeout=MODEL_SERVABLE_TIMEOUT, + interval=2.0, + request_timeout=MODEL_SERVABLE_REQUEST_TIMEOUT, + db_sync_seconds=MODEL_SERVABLE_DB_SYNC_SECONDS, + now=clock.now, + sleep=clock.sleep, + ) + + assert isinstance(outcome, NotServable) + assert clock.seconds <= MODEL_SERVABLE_TIMEOUT + + def test_reports_a_failed_read_distinctly_from_a_missing_model() -> None: clock = FakeClock() unreachable: Result[ModelsListResponse] = NetworkError(message="connection refused") @@ -175,16 +217,25 @@ def test_reports_a_failed_read_distinctly_from_a_missing_model() -> None: timeout=1.0, interval=0.5, request_timeout=5.0, + db_sync_seconds=0.0, now=clock.now, sleep=clock.sleep, ) assert outcome == NotServable(last_result=unreachable) - message = servable_timeout_message(model_name="my-model", timeout=1.0, last_result=unreachable) + message = servable_timeout_message( + model_name="my-model", + timeout=1.0, + db_sync_seconds=0.0, + last_result=unreachable, + ) assert "connection refused" in message listed_without_model = _listing("other") propagation_message = servable_timeout_message( - model_name="my-model", timeout=1.0, last_result=listed_without_model + model_name="my-model", + timeout=1.0, + db_sync_seconds=30.0, + last_result=listed_without_model, ) assert "did not succeed" not in propagation_message From 5953a66eab8212beac24d3265cd118b7f4a51176 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 17:10:04 -0700 Subject: [PATCH 003/120] test(e2e): drop proxy_client model-servable unit tests Keep the create_model DB-sync wait in the harness; the pure-function unit file is not needed for this PR (cherry picked from commit 89204651d1a4537c6f21550c5ab85448ae0923f8) --- tests/e2e/test_proxy_client_model_servable.py | 241 ------------------ 1 file changed, 241 deletions(-) delete mode 100644 tests/e2e/test_proxy_client_model_servable.py diff --git a/tests/e2e/test_proxy_client_model_servable.py b/tests/e2e/test_proxy_client_model_servable.py deleted file mode 100644 index c9edd148c2b..00000000000 --- a/tests/e2e/test_proxy_client_model_servable.py +++ /dev/null @@ -1,241 +0,0 @@ -"""Harness coverage for the bounded wait after /model/new (no live proxy). - -create_model must wait for the product default DB reload interval of continuous -listing so multi-worker gateways finish add_deployment before callers use the -model. Clock and sleep are injected so these assert the deadline arithmetic -without wall-clock waits. -""" - -from __future__ import annotations - -from dataclasses import dataclass, field - -from e2e_http import NetworkError, Result, Success -from models import ModelListEntry, ModelsListResponse -from proxy_client import ( - MODEL_SERVABLE_DB_SYNC_SECONDS, - MODEL_SERVABLE_REQUEST_TIMEOUT, - MODEL_SERVABLE_TIMEOUT, - NotServable, - Servable, - await_servable, - servable_timeout_message, -) - - -def _listing(*model_names: str) -> Result[ModelsListResponse]: - return Success( - status_code=200, - data=ModelsListResponse(data=tuple(ModelListEntry(id=name) for name in model_names)), - ) - - -@dataclass(slots=True) -class FakeClock: - seconds: float = 0.0 - slept: list[float] = field(default_factory=list) # mutable-ok: records calls for assertions - - def now(self) -> float: - return self.seconds - - def sleep(self, duration: float) -> None: - self.slept.append(duration) - self.seconds += duration - - -@dataclass(slots=True) -class FakeModelList: - responses: tuple[Result[ModelsListResponse], ...] - calls: int = 0 - timeouts: list[float] = field(default_factory=list) # mutable-ok: records call timeouts - - def __call__(self, request_timeout: float) -> Result[ModelsListResponse]: - self.timeouts.append(request_timeout) - response = self.responses[min(self.calls, len(self.responses) - 1)] - self.calls += 1 - return response - - -def test_returns_on_first_listing_when_db_sync_is_zero() -> None: - clock = FakeClock() - list_models = FakeModelList(responses=(_listing("my-model"),)) - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=40.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=0.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert outcome == Servable() - assert list_models.calls == 1 - assert clock.slept == [] - - -def test_requires_continuous_listing_for_default_db_sync_interval() -> None: - clock = FakeClock() - list_models = FakeModelList(responses=(_listing("my-model"),)) - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=40.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=MODEL_SERVABLE_DB_SYNC_SECONDS, - now=clock.now, - sleep=clock.sleep, - ) - - assert outcome == Servable() - assert clock.seconds >= MODEL_SERVABLE_DB_SYNC_SECONDS - assert list_models.calls >= 2 - - -def test_resets_db_sync_window_when_a_poll_misses() -> None: - clock = FakeClock() - list_models = FakeModelList( - responses=( - _listing("my-model"), - _listing("my-model"), - _listing("other"), - _listing("my-model"), - ) - ) - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=40.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=6.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert outcome == Servable() - assert list_models.calls >= 4 - assert clock.seconds >= 6.0 - - -def test_polls_until_the_model_first_appears() -> None: - clock = FakeClock() - list_models = FakeModelList(responses=(_listing("other"), _listing("other"), _listing("other", "my-model"))) - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=40.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=0.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert outcome == Servable() - assert list_models.calls == 3 - assert clock.seconds == 4.0 - - -def test_gives_up_if_first_listing_never_arrives() -> None: - clock = FakeClock() - list_models = FakeModelList(responses=(_listing("other"),)) - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=10.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=30.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert isinstance(outcome, NotServable) - assert clock.seconds == 8.0 - assert list_models.calls == 5 - - -def test_clamps_request_timeout_to_remaining_deadline() -> None: - clock = FakeClock() - timeouts: list[float] = [] - - def list_models(request_timeout: float) -> Result[ModelsListResponse]: - timeouts.append(request_timeout) - clock.seconds += request_timeout - return _listing("other") - - outcome = await_servable( - list_models, - model_name="my-model", - timeout=10.0, - interval=2.0, - request_timeout=5.0, - db_sync_seconds=30.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert isinstance(outcome, NotServable) - assert timeouts[0] == 5.0 - assert any(timeout < 5.0 for timeout in timeouts) - assert clock.seconds <= 10.0 - - -def test_does_not_wait_past_first_listing_budget_when_missing() -> None: - clock = FakeClock() - - outcome = await_servable( - FakeModelList(responses=(_listing("other"),)), - model_name="my-model", - timeout=MODEL_SERVABLE_TIMEOUT, - interval=2.0, - request_timeout=MODEL_SERVABLE_REQUEST_TIMEOUT, - db_sync_seconds=MODEL_SERVABLE_DB_SYNC_SECONDS, - now=clock.now, - sleep=clock.sleep, - ) - - assert isinstance(outcome, NotServable) - assert clock.seconds <= MODEL_SERVABLE_TIMEOUT - - -def test_reports_a_failed_read_distinctly_from_a_missing_model() -> None: - clock = FakeClock() - unreachable: Result[ModelsListResponse] = NetworkError(message="connection refused") - - outcome = await_servable( - FakeModelList(responses=(unreachable,)), - model_name="my-model", - timeout=1.0, - interval=0.5, - request_timeout=5.0, - db_sync_seconds=0.0, - now=clock.now, - sleep=clock.sleep, - ) - - assert outcome == NotServable(last_result=unreachable) - message = servable_timeout_message( - model_name="my-model", - timeout=1.0, - db_sync_seconds=0.0, - last_result=unreachable, - ) - assert "connection refused" in message - - listed_without_model = _listing("other") - propagation_message = servable_timeout_message( - model_name="my-model", - timeout=1.0, - db_sync_seconds=30.0, - last_result=listed_without_model, - ) - assert "did not succeed" not in propagation_message From 38d03fd341bf5b7030b2ebbc45c2555a7f1ee1e6 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 17:16:30 -0700 Subject: [PATCH 004/120] fix(e2e): never skip the final deadline-clamped model-servable poll When less than one full poll interval remained in the first-listing budget, the pre-sleep check returned NotServable without another /v1/models call. Sleep only min(interval, time left) so a model that becomes listable in the last seconds of the timeout still gets a clamped final poll (cherry picked from commit 8439195922c913d118cb146409c75cc081d23e6e) --- tests/e2e/proxy_client.py | 43 ++++++++++++++++++++------------------- 1 file changed, 22 insertions(+), 21 deletions(-) diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index dfbb90ac08e..36dada5770a 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -124,24 +124,28 @@ def await_servable( First listing must happen within `timeout`. After that, the model must stay listed continuously for `db_sync_seconds` (any miss resets the continuous window). `db_sync_seconds=0` returns on the first listing. Each poll's request - timeout is clamped to the remaining budget. Clock and sleep are injected.""" + timeout is clamped to the remaining budget. Sleeps only min(interval, time left) + so a final deadline-clamped poll is never skipped just because a full interval + does not fit. Clock and sleep are injected.""" started = now() first_seen_at: float | None = None last_result: Result[ModelsListResponse] | None = None while True: t = now() - if first_seen_at is None: - deadline = started + timeout - else: - deadline = first_seen_at + db_sync_seconds - remaining = deadline - t - if remaining <= 0 and last_result is not None: - if first_seen_at is not None and db_sync_seconds <= 0: - return Servable() - if first_seen_at is not None and t - first_seen_at >= db_sync_seconds: + phase_deadline = ( + started + timeout if first_seen_at is None else first_seen_at + db_sync_seconds + ) + remaining = phase_deadline - t + if remaining <= 0: + if ( + last_result is not None + and first_seen_at is not None + and (db_sync_seconds <= 0 or t - first_seen_at >= db_sync_seconds) + ): return Servable() return NotServable(last_result=last_result) - poll_timeout = min(request_timeout, remaining) if remaining > 0 else request_timeout + + poll_timeout = min(request_timeout, remaining) last_result = list_models(poll_timeout) listed = isinstance(last_result, Success) and any( entry.id == model_name for entry in last_result.data.data @@ -155,16 +159,13 @@ def await_servable( return Servable() elif t - first_seen_at >= db_sync_seconds: return Servable() - if first_seen_at is None: - if now() + interval >= started + timeout: - return NotServable(last_result=last_result) - elif now() + interval >= first_seen_at + db_sync_seconds: - # Final stretch: sleep only the remainder of the continuous window. - remainder = first_seen_at + db_sync_seconds - now() - if remainder > 0: - sleep(remainder) - continue - sleep(interval) + + phase_deadline = ( + started + timeout if first_seen_at is None else first_seen_at + db_sync_seconds + ) + wait = min(interval, phase_deadline - now()) + if wait > 0: + sleep(wait) def servable_timeout_message( From 87be33f9354f399100c7ededdfba31b0e831d225 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 17:35:13 -0700 Subject: [PATCH 005/120] fix(e2e): reject first listing that returns after the 40s deadline A poll may start with remaining budget and still return after started+timeout if the transport overruns its clamp. Recheck the first-listing deadline after the response so a late listing does not open the continuous DB-sync phase (cherry picked from commit 7ff2bcbf1498ee82f7dbe0b4330c1ab48927ed01) --- tests/e2e/proxy_client.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index 36dada5770a..b3fc8538322 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -154,6 +154,8 @@ def await_servable( if not listed: first_seen_at = None elif first_seen_at is None: + if t > started + timeout: + return NotServable(last_result=last_result) first_seen_at = t if db_sync_seconds <= 0: return Servable() From 82fa66908bb72748efc574a8a1a8750155a85c14 Mon Sep 17 00:00:00 2001 From: mubashir1osmani Date: Tue, 28 Jul 2026 22:15:21 -0700 Subject: [PATCH 006/120] test(e2e): poll MCP tools across multi-worker lag (#35047) * fix(mcp): resolve call_tool by registry without requiring tool map Multi-worker reloads put MCP servers in the registry from the DB but do not re-run tools/list on every process. Gating call_tool on tool_name_to_mcp_server_name_mapping made cold workers 500 with Tool not found after another worker had already listed the tool. Treat a registry match on server id/name/alias as enough; upstream rejects unknown tools * test(e2e): poll MCP register, tools/list, and tools/call across multi-worker lag Stage multi-worker gateways only load MCP servers and tool maps on the process that handled the request. Poll until the server is listed, the tool appears on tools/list, and tools/call is not a cold-worker 500 so key-access and Datadog MCP e2e stop racing the LB * Revert "fix(mcp): resolve call_tool by registry without requiring tool map" This reverts commit 8b56e51e39b876d13d1112efa4130554ddf5f173. * test(e2e): tighten MCP multi-worker lag classifier Only retry tools/call on gateway shapes Tool not found and server_not_found, not any 500 that mentions tool/server not found, so upstream failures are not retried until the poll deadline * test(e2e): drop unit file for MCP lag classifier The live await_call_tool polls already cover multi-worker lag; a separate string-match unit module is not worth keeping (cherry picked from commit c274cf321c5c35c629220a89bb497d15b56f870f) --- tests/e2e/mcp/mcp_client.py | 91 +++++++++++++++++++++- tests/e2e/mcp/test_mcp_access_group_e2e.py | 1 + tests/e2e/mcp/test_mcp_datadog_e2e.py | 28 ++++--- tests/e2e/mcp/test_mcp_key_access_e2e.py | 15 ++-- 4 files changed, 111 insertions(+), 24 deletions(-) diff --git a/tests/e2e/mcp/mcp_client.py b/tests/e2e/mcp/mcp_client.py index 6d0f6ddc760..33ec557c339 100644 --- a/tests/e2e/mcp/mcp_client.py +++ b/tests/e2e/mcp/mcp_client.py @@ -11,13 +11,14 @@ request/response bodies are co-located here because only this suite speaks MCP. from __future__ import annotations +import re import time from collections.abc import Mapping from dataclasses import dataclass from pydantic import BaseModel, ConfigDict, Field, RootModel -from e2e_http import Headers, NoBody, Result, Success, unwrap +from e2e_http import Headers, NoBody, Result, Success, UnknownApiError, unwrap from models import KeyGenerateBody, ObjectPermission from proxy_client import ProxyClient @@ -270,6 +271,60 @@ class McpClient: ) time.sleep(self.proxy.poll_interval) + def await_call_tool( + self, + key: str, + *, + server_id: str, + name: str, + arguments: McpToolArguments, + ) -> McpCallToolResponse: + """Poll tools/call until the result is not a multi-worker registry miss. + + Retries only on the gateway's own cold-worker 500 shapes (Tool + not found / server_not_found). Upstream tool errors and other 500s fail + immediately so non-idempotent calls are not repeated. + """ + deadline = time.monotonic() + self.proxy.poll_timeout + last: Result[McpCallToolResponse] | None = None + while True: + last = self.call_tool(key, server_id=server_id, name=name, arguments=arguments) + if not _is_mcp_not_synced(last, tool_name=name): + return unwrap(last) + if time.monotonic() >= deadline: + raise AssertionError( + f"tools/call for {name!r} on server {server_id} still missing on the " + f"data plane after {self.proxy.poll_timeout}s (multi-worker registry lag); " + f"last result: {last}" + ) + time.sleep(self.proxy.poll_interval) + + def await_call_tool_denied( + self, + key: str, + *, + server_id: str, + name: str, + arguments: McpToolArguments, + ) -> UnknownApiError: + """Poll tools/call until a cold-worker miss clears and the call is 403 access_denied.""" + deadline = time.monotonic() + self.proxy.poll_timeout + last: Result[McpCallToolResponse] | None = None + while True: + last = self.call_tool(key, server_id=server_id, name=name, arguments=arguments) + if isinstance(last, UnknownApiError) and last.status_code == 403: + return last + if not _is_mcp_not_synced(last, tool_name=name): + raise AssertionError( + f"ungranted key's tools/call was not 403 access_denied: {last}" + ) + if time.monotonic() >= deadline: + raise AssertionError( + f"ungranted key never got 403 for {name!r} within {self.proxy.poll_timeout}s; " + f"last result: {last}" + ) + time.sleep(self.proxy.poll_interval) + def register_mcp_content_filter(self, *, name: str, blocked_keyword: str) -> str: """Register a default-on content-filter guardrail that runs on the MCP tool-call hook (pre_mcp_call) and blocks a single keyword. The keyword is @@ -317,5 +372,39 @@ class McpClient: ) +def _is_mcp_not_synced( + result: Result[McpCallToolResponse], + *, + tool_name: str | None = None, +) -> bool: + """True only for gateway multi-worker registry misses, not upstream errors. + + Matches the proxy's own shapes: + - ValueError ``Tool not found`` wrapped as HTTP 500 (cold tool map / + unresolved server on this process) + - REST ``server_not_found`` when this worker has not loaded the MCP server row + + Does not treat arbitrary 500 bodies that merely mention "tool" and "not found" + (e.g. upstream MCP payload text) as lag, so await_call_tool does not retry + real failures or non-idempotent calls. + """ + if not isinstance(result, UnknownApiError) or result.status_code != 500: + return False + body = result.body + body_l = body.lower() + + if "server_not_found" in body_l: + return True + if re.search(r"mcp server ['\"][^'\"]+['\"] was not found", body_l): + return True + + # Gateway: "Tool search_datadog_logs not found" (optionally inside a longer message) + if tool_name is not None: + return ( + re.search(rf"\btool\s+{re.escape(tool_name)}\s+not found\b", body_l) is not None + ) + return re.search(r"\btool\s+\S+\s+not found\b", body_l) is not None + + def build_client(proxy: ProxyClient) -> McpClient: return McpClient(proxy=proxy) diff --git a/tests/e2e/mcp/test_mcp_access_group_e2e.py b/tests/e2e/mcp/test_mcp_access_group_e2e.py index 1b53d1ca0b4..f72b75fd43d 100644 --- a/tests/e2e/mcp/test_mcp_access_group_e2e.py +++ b/tests/e2e/mcp/test_mcp_access_group_e2e.py @@ -29,6 +29,7 @@ class TestMcpAccessGroupToolSelection: ) -> None: group = f"e2e-mcp-grp-{unique_marker()}" server_id = register_datadog_mcp(client, resources, mcp_access_groups=[group]) + client.await_registered(server_id) granted = client.generate_key( user_id=f"e2e-mcp-ag-granted-{unique_marker()}", diff --git a/tests/e2e/mcp/test_mcp_datadog_e2e.py b/tests/e2e/mcp/test_mcp_datadog_e2e.py index 8a539b86bff..d093e307f99 100644 --- a/tests/e2e/mcp/test_mcp_datadog_e2e.py +++ b/tests/e2e/mcp/test_mcp_datadog_e2e.py @@ -60,6 +60,7 @@ class TestDatadogMcpRoundTrip: _assert_datadog_logger_active(client.proxy) server_id = register_datadog_mcp(client, resources) + client.await_registered(server_id) marker = f"{MARKER_PREFIX}{unique_marker()}" key = client.generate_key( @@ -78,22 +79,19 @@ class TestDatadogMcpRoundTrip: ) tool_name = client.await_tool(key, server_id, SEARCH_LOGS_TOOL) - - call = unwrap( - client.call_tool( - key, - server_id=server_id, - name=tool_name, - arguments={ - "query": marker, - "from": DD_SEARCH_FROM, - "to": "now", - "max_tokens": 5000, - "telemetry": { - "intent": "e2e assert seeded litellm completion log is searchable via MCP" - }, + call = client.await_call_tool( + key, + server_id=server_id, + name=tool_name, + arguments={ + "query": marker, + "from": DD_SEARCH_FROM, + "to": "now", + "max_tokens": 5000, + "telemetry": { + "intent": "e2e assert seeded litellm completion log is searchable via MCP" }, - ) + }, ) assert call.is_error is not True, f"search_datadog_logs errored: {call}" body = call.all_text diff --git a/tests/e2e/mcp/test_mcp_key_access_e2e.py b/tests/e2e/mcp/test_mcp_key_access_e2e.py index 35c864c07d8..678424e36d1 100644 --- a/tests/e2e/mcp/test_mcp_key_access_e2e.py +++ b/tests/e2e/mcp/test_mcp_key_access_e2e.py @@ -16,7 +16,7 @@ import pytest from datadog_mcp import SEARCH_LOGS_TOOL, register_datadog_mcp from e2e_config import DD_SEARCH_FROM, unique_marker -from e2e_http import UnknownApiError, unwrap +from e2e_http import unwrap from lifecycle import ResourceManager from mcp_client import McpClient @@ -72,13 +72,12 @@ class TestMcpKeyWithoutAccessIsDenied: "max_tokens": 1000, "telemetry": {"intent": "e2e control call proving granted key can invoke Datadog MCP"}, } - permitted_call = unwrap( - client.call_tool(permitted_key, server_id=server_id, name=tool_name, arguments=search_args) + permitted_call = client.await_call_tool( + permitted_key, server_id=server_id, name=tool_name, arguments=search_args ) assert permitted_call.is_error is not True, f"granted key's tool call errored: {permitted_call}" - match client.call_tool(denied_key, server_id=server_id, name=tool_name, arguments=search_args): - case UnknownApiError(status_code=403, body=body): - assert "access_denied" in body, f"403 was not an MCP access denial: {body}" - case other: - pytest.fail(f"ungranted key's tool call was not refused with 403 access_denied: {other}") + denied = client.await_call_tool_denied( + denied_key, server_id=server_id, name=tool_name, arguments=search_args + ) + assert "access_denied" in denied.body, f"403 was not an MCP access denial: {denied.body}" From b93030f84e7a414d2106528114b09f1fca1ad1aa Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Wed, 29 Jul 2026 21:20:25 +0000 Subject: [PATCH 007/120] fix(vertex_ai): surface real error/status on vertex batch create instead of IndexError 500 --- litellm/llms/vertex_ai/batches/handler.py | 44 ++++++++++++---- .../llms/vertex_ai/batches/transformation.py | 46 ++++++++++++++--- .../llms/vertex_ai/batches/test_handler.py | 50 +++++++++++++++---- .../vertex_ai/batches/test_transformation.py | 43 +++++++++++++++- 4 files changed, 152 insertions(+), 31 deletions(-) diff --git a/litellm/llms/vertex_ai/batches/handler.py b/litellm/llms/vertex_ai/batches/handler.py index ada1356fb6b..f0fd5480c75 100644 --- a/litellm/llms/vertex_ai/batches/handler.py +++ b/litellm/llms/vertex_ai/batches/handler.py @@ -13,7 +13,7 @@ from litellm.llms.custom_httpx.http_handler import ( _get_httpx_client, get_async_httpx_client, ) -from litellm.llms.vertex_ai.common_utils import get_vertex_base_url +from litellm.llms.vertex_ai.common_utils import VertexAIError, get_vertex_base_url from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import VertexLLM from litellm.types.llms.openai import CreateBatchRequest from litellm.types.llms.vertex_ai import ( @@ -98,7 +98,9 @@ class VertexAIBatchPrediction(VertexLLM): ) if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -130,7 +132,9 @@ class VertexAIBatchPrediction(VertexLLM): ) raise if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -242,7 +246,9 @@ class VertexAIBatchPrediction(VertexLLM): ) if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -292,7 +298,9 @@ class VertexAIBatchPrediction(VertexLLM): headers=headers, ) if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -365,7 +373,9 @@ class VertexAIBatchPrediction(VertexLLM): ) if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = ( @@ -390,7 +400,9 @@ class VertexAIBatchPrediction(VertexLLM): params=params, ) if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) _json_response = response.json() vertex_batch_response = ( @@ -475,7 +487,9 @@ class VertexAIBatchPrediction(VertexLLM): raise if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) # HTTPHandler.get() does not accept a timeout parameter retrieve_response = sync_handler.get( @@ -488,7 +502,10 @@ class VertexAIBatchPrediction(VertexLLM): retrieve_response.status_code, retrieve_response.text[:1000], ) - raise Exception(f"Error: {retrieve_response.status_code} {retrieve_response.text}") + raise VertexAIError( + status_code=retrieve_response.status_code, + message=f"Error: {retrieve_response.status_code} {retrieve_response.text}", + ) _json_response = retrieve_response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -521,7 +538,9 @@ class VertexAIBatchPrediction(VertexLLM): ) raise if response.status_code != 200: - raise Exception(f"Error: {response.status_code} {response.text}") + raise VertexAIError( + status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" + ) # AsyncHTTPHandler.get() does not accept a timeout parameter retrieve_response = await client.get( @@ -534,7 +553,10 @@ class VertexAIBatchPrediction(VertexLLM): retrieve_response.status_code, retrieve_response.text[:1000], ) - raise Exception(f"Error: {retrieve_response.status_code} {retrieve_response.text}") + raise VertexAIError( + status_code=retrieve_response.status_code, + message=f"Error: {retrieve_response.status_code} {retrieve_response.text}", + ) _json_response = retrieve_response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( diff --git a/litellm/llms/vertex_ai/batches/transformation.py b/litellm/llms/vertex_ai/batches/transformation.py index df903ba7ef0..e4299bcf2a0 100644 --- a/litellm/llms/vertex_ai/batches/transformation.py +++ b/litellm/llms/vertex_ai/batches/transformation.py @@ -1,7 +1,9 @@ from typing import Any, Dict, Optional +from urllib.parse import unquote from litellm._uuid import uuid from litellm.llms.vertex_ai.common_utils import ( + VertexAIError, _convert_vertex_datetime_to_openai_datetime, ) from litellm.types.llms.openai import BatchJobStatus, CreateBatchRequest @@ -199,16 +201,40 @@ class VertexAIBatchTransformation: gcs_file_uri format: gs://litellm-testing-bucket/litellm-vertex-files/publishers/google/models/gemini-1.5-flash-001/e9412502-2c91-42a6-8e61-f5c294cc0fc8 returns: "publishers/google/models/gemini-1.5-flash-001" + + Raises a 400 `VertexAIError` when the uri carries no parseable model path. """ - from urllib.parse import unquote - - decoded_uri = unquote(gcs_file_uri) - - model_path = decoded_uri.split("publishers/")[1] - parts = model_path.split("/") - model = f"publishers/{'/'.join(parts[:3])}" + model = cls._parse_model_from_gcs_file(gcs_file_uri) + if model is None: + raise VertexAIError( + status_code=400, + message=( + "Vertex AI batch creation requires the model to be part of `input_file_id`, but " + f"'{gcs_file_uri}' contains no 'publishers//models/' path segment. " + "Either upload the input file through LiteLLM (POST /v1/files with " + "custom_llm_provider=vertex_ai), which encodes the model into the returned file id, or " + "pass a uri of the form " + "gs:////publishers//models//" + ), + ) return model + @classmethod + def _parse_model_from_gcs_file(cls, gcs_file_uri: str) -> str | None: + """ + Returns the `publishers//models/` path from a gcs uri, or None if the uri + does not contain one. + """ + _, separator, model_path = unquote(gcs_file_uri).partition("publishers/") + if not separator: + return None + + parts = model_path.split("/") + if len(parts) < 3 or parts[1] != "models" or not parts[2]: + return None + + return f"publishers/{'/'.join(parts[:3])}" + @classmethod def is_unmanaged_gcs_batch_input_file_id(cls, input_file_id: Optional[str]) -> bool: """ @@ -216,7 +242,11 @@ class VertexAIBatchTransformation: LiteLLM-managed unified file id) with a `publishers/` model path that `_get_model_from_gcs_file` can parse. """ - return input_file_id is not None and input_file_id.startswith("gs://") and "publishers/" in input_file_id + return ( + input_file_id is not None + and input_file_id.startswith("gs://") + and cls._parse_model_from_gcs_file(input_file_id) is not None + ) @classmethod def get_bare_model_name_from_gcs_file(cls, gcs_file_uri: str) -> str: diff --git a/tests/test_litellm/llms/vertex_ai/batches/test_handler.py b/tests/test_litellm/llms/vertex_ai/batches/test_handler.py index cacea234777..b9fb5dfe3c5 100644 --- a/tests/test_litellm/llms/vertex_ai/batches/test_handler.py +++ b/tests/test_litellm/llms/vertex_ai/batches/test_handler.py @@ -40,6 +40,7 @@ sys.path.insert(0, os.path.abspath("../../../../..")) from litellm.llms.vertex_ai.batches.handler import ( # noqa: E402 VertexAIBatchPrediction, ) +from litellm.llms.vertex_ai.common_utils import VertexAIError # noqa: E402 from litellm.types.utils import LiteLLMBatch # noqa: E402 HMOD = "litellm.llms.vertex_ai.batches.handler" @@ -184,7 +185,7 @@ def test_create_batch_sync_non_200_raises(): client.post.return_value = _http_response(status_code=500) with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500") as exc_info: h.create_batch( _is_async=False, create_batch_data=CREATE_DATA, @@ -196,6 +197,32 @@ def test_create_batch_sync_non_200_raises(): max_retries=None, ) + assert exc_info.value.status_code == 500 + assert "error text" in str(exc_info.value) + + +def test_create_batch_input_file_id_without_model_raises_400_before_post(): + """A gs:// uri with no publishers//models/ path is a 400, not a bare 500.""" + h = _make_handler() + client = MagicMock() + + with patch(f"{HMOD}._get_httpx_client", return_value=client): + with pytest.raises(VertexAIError) as exc_info: + h.create_batch( + _is_async=False, + create_batch_data={"input_file_id": "gs://bucket/batch-input.jsonl"}, + api_base=None, + vertex_credentials=None, + vertex_project=PROJECT, + vertex_location=LOCATION, + timeout=600.0, + max_retries=None, + ) + + assert exc_info.value.status_code == 400 + assert "gs://bucket/batch-input.jsonl" in str(exc_info.value) + client.post.assert_not_called() + def test_create_batch_async_non_200_raises(): h = _make_handler() @@ -216,9 +243,12 @@ def test_create_batch_async_non_200_raises(): timeout=600.0, max_retries=None, ) - with pytest.raises(Exception, match="Error: 403"): + with pytest.raises(VertexAIError, match="Error: 403") as exc_info: _run(coro) + assert exc_info.value.status_code == 403 + assert "error text" in str(exc_info.value) + # =========================================================================== # # retrieve_batch @@ -292,7 +322,7 @@ def test_retrieve_batch_sync_non_200_raises(): patch(f"{HMOD}._get_httpx_client", return_value=MagicMock()), patch(f"{HMOD}.safe_get", return_value=_http_response(status_code=404)), ): - with pytest.raises(Exception, match="Error: 404"): + with pytest.raises(VertexAIError, match="Error: 404"): h.retrieve_batch( _is_async=False, batch_id=BATCH_ID, @@ -438,7 +468,7 @@ def test_list_batches_sync_non_200_raises(): client.get.return_value = _http_response(status_code=500) with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500"): h.list_batches( _is_async=False, after=None, @@ -530,7 +560,7 @@ def test_cancel_batch_sync_cancel_post_non_200_raises(): client.post.return_value = _http_response(status_code=500) with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500"): h.cancel_batch( _is_async=False, batch_id=BATCH_ID, @@ -552,7 +582,7 @@ def test_cancel_batch_sync_retrieve_non_200_raises(): client.get.return_value = _http_response(status_code=404) with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(Exception, match="Error: 404"): + with pytest.raises(VertexAIError, match="Error: 404"): h.cancel_batch( _is_async=False, batch_id=BATCH_ID, @@ -672,7 +702,7 @@ def test_async_retrieve_batch_non_200_raises(): timeout=600.0, max_retries=None, ) - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500"): _run(coro) @@ -726,7 +756,7 @@ def test_async_list_batches_non_200_raises(): timeout=600.0, max_retries=None, ) - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500"): _run(coro) @@ -779,7 +809,7 @@ def test_async_cancel_batch_httpstatuserror_and_retrieve_non_200(): timeout=600.0, max_retries=None, ) - with pytest.raises(Exception, match="Error: 500"): + with pytest.raises(VertexAIError, match="Error: 500"): _run(coro) async_client_post500.get.assert_not_awaited() @@ -801,5 +831,5 @@ def test_async_cancel_batch_httpstatuserror_and_retrieve_non_200(): timeout=600.0, max_retries=None, ) - with pytest.raises(Exception, match="Error: 404"): + with pytest.raises(VertexAIError, match="Error: 404"): _run(coro) diff --git a/tests/test_litellm/llms/vertex_ai/batches/test_transformation.py b/tests/test_litellm/llms/vertex_ai/batches/test_transformation.py index 1b37ade6b30..8352ec16389 100644 --- a/tests/test_litellm/llms/vertex_ai/batches/test_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/batches/test_transformation.py @@ -25,6 +25,7 @@ from litellm.llms.vertex_ai.batches.transformation import ( # noqa: E402 VertexAIBatchTransformation, ) from litellm.llms.vertex_ai.common_utils import ( # noqa: E402 + VertexAIError, _convert_vertex_datetime_to_openai_datetime, ) from litellm.types.utils import LiteLLMBatch # noqa: E402 @@ -69,6 +70,24 @@ def test_transform_openai_request_missing_input_file_id_raises(): T.transform_openai_batch_request_to_vertex_ai_batch_request({}) +@pytest.mark.parametrize( + "input_file_id", + [ + "gs://bucket/no-model-here.jsonl", + "gs://bucket/publishers/google/gemini-1.5-flash-001/file-uuid", + "gs://bucket/publishers/google/models", + "gs://bucket/publishers/google/models//file-uuid", + ], +) +def test_transform_openai_request_unparseable_model_raises_400(input_file_id: str): + """An input_file_id with no parseable model path is a client error, not an IndexError -> 500.""" + with pytest.raises(VertexAIError) as exc_info: + T.transform_openai_batch_request_to_vertex_ai_batch_request({"input_file_id": input_file_id}) + + assert exc_info.value.status_code == 400 + assert input_file_id in str(exc_info.value) + + # =========================================================================== # # transform_vertex_ai_batch_response_to_openai_batch_response # =========================================================================== # @@ -299,9 +318,29 @@ def test_get_model_from_gcs_file_url_encoded(): assert T._get_model_from_gcs_file(encoded) == "publishers/google/models/gemini-1.5-flash-001" -def test_get_model_from_gcs_file_no_publishers_raises(): - with pytest.raises(IndexError): +def test_get_model_from_gcs_file_no_publishers_raises_400(): + with pytest.raises(VertexAIError) as exc_info: T._get_model_from_gcs_file("gs://bucket/no-model-here.jsonl") + assert exc_info.value.status_code == 400 + + +# =========================================================================== # +# is_unmanaged_gcs_batch_input_file_id +# =========================================================================== # + + +@pytest.mark.parametrize( + "input_file_id, expected", + [ + (INPUT_FILE, True), + (None, False), + ("file-abc123", False), + ("gs://bucket/no-model-here.jsonl", False), + ("gs://bucket/publishers/google/gemini-1.5-flash-001/file-uuid", False), + ], +) +def test_is_unmanaged_gcs_batch_input_file_id(input_file_id, expected): + assert T.is_unmanaged_gcs_batch_input_file_id(input_file_id) is expected # =========================================================================== # From c5c5a276790529e2de3378654864fd847530c5a0 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sun, 2 Aug 2026 00:19:42 +0000 Subject: [PATCH 008/120] fix(files): enforce require_managed_files on file retrieve, content and delete Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../openai_files_endpoints/common_utils.py | 30 +++++ .../openai_files_endpoints/files_endpoints.py | 7 ++ .../test_files_endpoint.py | 116 ++++++++++++++++++ 3 files changed, 153 insertions(+) diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index 87514b46dbd..3eef3868c94 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -866,6 +866,36 @@ def validate_managed_files_requirement( ) +def validate_managed_file_id_requirement(file_id: str) -> None: + """ + Enforce proxy-level managed files on the file read/delete routes when + ``litellm.require_managed_files`` is enabled. + + Ownership is only recorded for LiteLLM managed files, so a raw provider file id sent to + retrieve/content/delete is forwarded to the provider under shared credentials without any + tenant check; knowing another tenant's provider file id would be enough to read or delete it. + + Raises: + HTTPException: 400 if ``file_id`` is not a LiteLLM managed file id. + """ + import litellm + from fastapi import HTTPException + + if litellm.require_managed_files is not True: + return + + if _is_base64_encoded_unified_file_id(file_id): + return + + raise HTTPException( + status_code=400, + detail=( + "Raw provider file ids cannot be used when require_managed_files is enabled in " + "litellm_settings. Use the LiteLLM managed file id returned when the file was created." + ), + ) + + def _extract_model_param(request: "Request", request_body: dict) -> str | None: """ Extract model parameter from request. diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index 4e4718272bd..37f1ced6996 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -49,6 +49,7 @@ from litellm.proxy.openai_files_endpoints.common_utils import ( get_credentials_for_model, handle_model_based_routing, prepare_data_with_credentials, + validate_managed_file_id_requirement, validate_managed_files_requirement, ) from litellm.proxy.utils import ProxyLogging, is_known_model @@ -612,6 +613,8 @@ async def get_file_content( data: dict = {"file_id": file_id} try: + validate_managed_file_id_requirement(file_id=file_id) + # Include original request and headers in the data base_llm_response_processor = ProxyBaseLLMRequestProcessing(data=data) ( @@ -908,6 +911,8 @@ async def get_file( data: dict = {"file_id": file_id} try: + validate_managed_file_id_requirement(file_id=file_id) + custom_llm_provider = ( provider or get_custom_llm_provider_from_request_headers(request=request) @@ -1098,6 +1103,8 @@ async def delete_file( data: dict = {"file_id": file_id} try: + validate_managed_file_id_requirement(file_id=file_id) + custom_llm_provider = ( provider or get_custom_llm_provider_from_request_headers(request=request) diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py index ac01c6ae1d1..24b814bae1f 100644 --- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py @@ -3051,3 +3051,119 @@ def test_list_files_key_allowed_openai_model_still_resolves_team_credentials( mocker, monkeypatch, _team_openai_plus_global_anthropic_router(), ["team-gpt"] ) assert captured_kwargs.get("api_key") == "team-openai-key" + + +@pytest.mark.parametrize( + "http_method, url, patched_litellm_call", + [ + ("get", "/v1/files/file-victim-abc123", "litellm.afile_retrieve"), + ("get", "/v1/files/file-victim-abc123/content", "litellm.afile_content"), + ("delete", "/v1/files/file-victim-abc123", "litellm.afile_delete"), + ], +) +def test_require_managed_files_rejects_raw_provider_file_id( + mocker: MockerFixture, + monkeypatch, + llm_router: Router, + http_method: str, + url: str, + patched_litellm_call: str, +): + import litellm.proxy.proxy_server as ps + from litellm.proxy._types import LitellmUserRoles + + monkeypatch.setattr("litellm.require_managed_files", True) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", None) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router) + setup_proxy_logging_object(monkeypatch, llm_router) + + mock_call = mocker.patch(patched_litellm_call, new=mocker.AsyncMock()) + + app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, user_id="attacker-user" + ) + + try: + response = getattr(client, http_method)( + url, headers={"Authorization": "Bearer test-key"} + ) + finally: + app.dependency_overrides.pop(ps.user_api_key_auth, None) + monkeypatch.setattr("litellm.require_managed_files", False) + + assert response.status_code == 400, response.text + mock_call.assert_not_called() + + +def _unified_managed_file_id() -> str: + import base64 + + from litellm.types.utils import SpecialEnums + + unified_id = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", "victim-unified-id", "gpt-3.5-turbo", "file-victim-abc123", "gpt-3.5-turbo-id" + ) + return base64.urlsafe_b64encode(unified_id.encode()).decode().rstrip("=") + + +def test_require_managed_files_allows_unified_managed_file_id(monkeypatch): + from litellm.proxy.openai_files_endpoints.common_utils import ( + validate_managed_file_id_requirement, + ) + + monkeypatch.setattr("litellm.require_managed_files", True) + + validate_managed_file_id_requirement(file_id=_unified_managed_file_id()) + + +def test_managed_file_id_requirement_is_opt_in(monkeypatch): + from litellm.proxy.openai_files_endpoints.common_utils import ( + validate_managed_file_id_requirement, + ) + + monkeypatch.setattr("litellm.require_managed_files", False) + + validate_managed_file_id_requirement(file_id="file-victim-abc123") + + +def test_raw_provider_file_id_retrieve_allowed_when_managed_files_not_required( + mocker: MockerFixture, monkeypatch, llm_router: Router +): + import litellm.proxy.proxy_server as ps + from litellm.proxy._types import LitellmUserRoles + + monkeypatch.setattr("litellm.require_managed_files", False) + monkeypatch.setattr("litellm.proxy.proxy_server.master_key", None) + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router) + setup_proxy_logging_object(monkeypatch, llm_router) + + mock_retrieve = mocker.patch( + "litellm.afile_retrieve", + new=mocker.AsyncMock( + return_value=OpenAIFileObject( + id="file-victim-abc123", + object="file", + bytes=3, + created_at=1234567890, + filename="test.txt", + purpose="user_data", + status="uploaded", + ) + ), + ) + + app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, user_id="some-user" + ) + + try: + response = client.get( + "/v1/files/file-victim-abc123", headers={"Authorization": "Bearer test-key"} + ) + finally: + app.dependency_overrides.pop(ps.user_api_key_auth, None) + + assert response.status_code == 200, response.text + mock_retrieve.assert_called_once() From 7d00f9d019f84be709a7515094fed4ce7bbee900 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Wed, 5 Aug 2026 20:46:00 -0700 Subject: [PATCH 009/120] fix(managed_files): return unified output file ids from GET /batches list_user_batches parsed each stored batch blob and returned it as-is, so any row whose blob still carried raw provider file ids (for example a batch that reached a terminal state through the cost poller, or rows written before output registration existed) leaked raw output_file_id and error_file_id values that clients cannot fetch through the proxy. The list path now runs each row through ensure_batch_response_managed_file_ids, which swaps in existing managed ids and registers missing ones under the batch owner's identity, matching what GET /batches/{id} already does --- .../proxy/hooks/managed_files.py | 12 ++ .../proxy/hooks/test_managed_files.py | 142 ++++++++++++++++++ 2 files changed, 154 insertions(+) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 0036603bcd1..07a1f959940 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -31,6 +31,7 @@ from litellm.proxy._types import ( ) from litellm.proxy.openai_files_endpoints.common_utils import ( _is_base64_encoded_unified_file_id, + ensure_batch_response_managed_file_ids, get_batch_id_from_unified_batch_id, get_content_type_from_file_object, get_model_id_from_unified_batch_id, @@ -352,6 +353,17 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) batch_obj = LiteLLMBatch.model_validate(batch_data) batch_obj.id = batch.unified_object_id + await ensure_batch_response_managed_file_ids( + response=batch_obj, + managed_files_obj=self, + prisma_client=self.prisma_client, + verbose_proxy_logger=verbose_logger, + user_api_key_dict=user_api_key_dict, + db_batch_object=batch, + unified_batch_id=_is_base64_encoded_unified_file_id( + batch.unified_object_id + ), + ) batch_objects.append(batch_obj) except Exception as e: diff --git a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py index 50af6465d06..fc10a1257e1 100644 --- a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py +++ b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py @@ -1813,6 +1813,148 @@ def _create_unified_batch_id(model_id: str, batch_id: str) -> str: return base64.urlsafe_b64encode(unified_str.encode()).decode().rstrip("=") +def _decode_unified_id(b64_id: str) -> str: + return base64.urlsafe_b64decode(b64_id + "=" * (-len(b64_id) % 4)).decode() + + +def _terminal_batch_record( + unified_batch_uid: str, + raw_input_file_id: str, + raw_output_file_id: str, + raw_error_file_id: str, +): + record = MagicMock() + record.unified_object_id = unified_batch_uid + record.created_by = "owner-user" + record.team_id = "owner-team" + record.status = "cancelled" + record.file_object = json.dumps( + { + "id": "batch-raw-456", + "object": "batch", + "endpoint": "/v1/chat/completions", + "completion_window": "24h", + "status": "cancelled", + "created_at": 1234567890, + "input_file_id": raw_input_file_id, + "output_file_id": raw_output_file_id, + "error_file_id": raw_error_file_id, + } + ) + return record + + +@pytest.mark.asyncio +async def test_list_batches_registers_and_returns_unified_output_file_ids(): + """A stored batch blob with raw provider file IDs (e.g. persisted by the cost + poller for a cancelled batch) must be listed with unified managed IDs, and the + output/error files must be registered in the managed file table so GET + /files/{id}/content can route them.""" + from litellm.proxy._types import UserAPIKeyAuth + + unified_batch_uid = _create_unified_batch_id("model-123", "batch-456") + raw_input_file_id = "file-list-in-1" + raw_output_file_id = "file-list-out-1" + raw_error_file_id = "file-list-err-1" + unified_input_file_id = base64.urlsafe_b64encode( + b"litellm_proxy:application/octet-stream;unified_id,in-1;target_model_names,gpt-5-batch" + ).decode() + + prisma_client = AsyncMock() + prisma_client.db.litellm_managedobjecttable.find_many.return_value = [ + _terminal_batch_record( + unified_batch_uid, raw_input_file_id, raw_output_file_id, raw_error_file_id + ) + ] + + input_file_row = MagicMock() + input_file_row.unified_file_id = unified_input_file_id + + def find_managed_file(where): + if where["flat_model_file_ids"]["has"] == raw_input_file_id: + return input_file_row + return None + + prisma_client.db.litellm_managedfiletable.find_first = AsyncMock( + side_effect=find_managed_file + ) + + proxy_managed_files = _PROXY_LiteLLMManagedFiles( + DualCache(), prisma_client=prisma_client + ) + + result = await proxy_managed_files.list_user_batches( + user_api_key_dict=UserAPIKeyAuth(user_id="owner-user"), + limit=10, + ) + + listed = result["data"][0] + assert listed.id == unified_batch_uid + assert listed.input_file_id == unified_input_file_id + + decoded_output = _decode_unified_id(listed.output_file_id) + assert decoded_output.startswith("litellm_proxy") + assert f"llm_output_file_id,{raw_output_file_id}" in decoded_output + assert "llm_output_file_model_id,model-123" in decoded_output + assert "target_model_names,gpt-5-batch" in decoded_output + + decoded_error = _decode_unified_id(listed.error_file_id) + assert f"llm_output_file_id,{raw_error_file_id}" in decoded_error + + upsert_calls = prisma_client.db.litellm_managedfiletable.upsert.await_args_list + stored_raw_ids = { + c.kwargs["data"]["create"]["flat_model_file_ids"][0] for c in upsert_calls + } + assert stored_raw_ids == {raw_output_file_id, raw_error_file_id} + for c in upsert_calls: + assert c.kwargs["data"]["create"]["created_by"] == "owner-user" + assert c.kwargs["data"]["create"]["team_id"] == "owner-team" + + +@pytest.mark.asyncio +async def test_list_batches_resolves_existing_managed_rows_without_minting(): + """When the raw provider file IDs already have managed file rows, listing must + swap in the existing unified IDs and must not upsert duplicate rows.""" + from litellm.proxy._types import UserAPIKeyAuth + + unified_batch_uid = _create_unified_batch_id("model-123", "batch-456") + raw_output_file_id = "file-list-out-existing" + existing_unified_output_id = base64.urlsafe_b64encode( + f"litellm_proxy:application/json;unified_id,u-9;llm_output_file_id,{raw_output_file_id}".encode() + ).decode() + + record = _terminal_batch_record( + unified_batch_uid, "file-list-in-9", raw_output_file_id, "" + ) + + prisma_client = AsyncMock() + prisma_client.db.litellm_managedobjecttable.find_many.return_value = [record] + + existing_row = MagicMock() + existing_row.unified_file_id = existing_unified_output_id + + def find_managed_file(where): + if where["flat_model_file_ids"]["has"] == raw_output_file_id: + return existing_row + return None + + prisma_client.db.litellm_managedfiletable.find_first = AsyncMock( + side_effect=find_managed_file + ) + + proxy_managed_files = _PROXY_LiteLLMManagedFiles( + DualCache(), prisma_client=prisma_client + ) + + result = await proxy_managed_files.list_user_batches( + user_api_key_dict=UserAPIKeyAuth(user_id="owner-user"), + limit=10, + ) + + assert result["data"][0].output_file_id == existing_unified_output_id + prisma_client.db.litellm_managedfiletable.upsert.assert_not_awaited() + + @pytest.mark.asyncio async def test_list_batches_from_managed_objects_table_provider_filter_raises_exception(): from litellm.proxy._types import UserAPIKeyAuth From 59041240f036fe80776b297b36757c48d85f7978 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Thu, 6 Aug 2026 02:23:32 -0700 Subject: [PATCH 010/120] fix(managed_files): cap batch list page size at 100 and bulk-resolve raw file ids in one query --- .../proxy/hooks/managed_files.py | 104 +++++++++++++----- .../openai_files_endpoints/common_utils.py | 30 +++++ .../proxy/hooks/test_managed_files.py | 94 +++++++++++----- 3 files changed, 172 insertions(+), 56 deletions(-) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 07a1f959940..6fa6ef46ad4 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -3,6 +3,7 @@ import base64 import json +from collections.abc import Mapping from types import MappingProxyType from typing import TYPE_CHECKING, Any, Dict, Final, List, Literal, Optional, Union, cast from uuid import NAMESPACE_URL, uuid5 @@ -31,10 +32,12 @@ from litellm.proxy._types import ( ) from litellm.proxy.openai_files_endpoints.common_utils import ( _is_base64_encoded_unified_file_id, + apply_unified_file_ids, ensure_batch_response_managed_file_ids, get_batch_id_from_unified_batch_id, get_content_type_from_file_object, get_model_id_from_unified_batch_id, + map_raw_file_ids_to_unified, normalize_mime_type_for_provider, resolve_managed_output_file_model_name, ) @@ -62,6 +65,9 @@ if TYPE_CHECKING: if TYPE_CHECKING: from opentelemetry.trace import Span as _Span + from prisma.models import ( + LiteLLM_ManagedObjectTable as PrismaManagedObjectRow, + ) from litellm.proxy.utils import InternalUsageCache as _InternalUsageCache from litellm.proxy.utils import PrismaClient as _PrismaClient @@ -75,6 +81,20 @@ else: PrismaClient = Any +def _decode_json_blob(blob: object) -> object: + return json.loads(blob) if isinstance(blob, str) else blob + + +def _parse_managed_batch_row(row: "PrismaManagedObjectRow") -> Optional[LiteLLMBatch]: + try: + batch_obj: Final = LiteLLMBatch.model_validate(_decode_json_blob(row.file_object)) + except Exception as e: + verbose_logger.warning(f"Failed to parse batch object {row.unified_object_id}: {e}") + return None + batch_obj.id = row.unified_object_id + return batch_obj + + class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Class variables or attributes def __init__( @@ -329,7 +349,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): detail=f"Invalid 'after' cursor: no batch found with id '{after}'.", ) - page_size = limit or 20 + page_size: Final = min(limit or 20, 100) cursor_args: Dict[str, Any] = ( {"cursor": {"unified_object_id": after}, "skip": 1} if after else {} ) @@ -343,36 +363,60 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): has_more = len(batches) > page_size - batch_objects: List[LiteLLMBatch] = [] - for batch in batches[:page_size]: - try: - batch_data = ( - json.loads(batch.file_object) - if isinstance(batch.file_object, str) - else batch.file_object - ) - batch_obj = LiteLLMBatch.model_validate(batch_data) - batch_obj.id = batch.unified_object_id - await ensure_batch_response_managed_file_ids( - response=batch_obj, - managed_files_obj=self, - prisma_client=self.prisma_client, - verbose_proxy_logger=verbose_logger, - user_api_key_dict=user_api_key_dict, - db_batch_object=batch, - unified_batch_id=_is_base64_encoded_unified_file_id( - batch.unified_object_id - ), - ) - batch_objects.append(batch_obj) + parsed_rows: Final = tuple( + (row, batch_obj) + for row in batches[:page_size] + if (batch_obj := _parse_managed_batch_row(row)) is not None + ) + unified_id_by_raw_id: Final = await map_raw_file_ids_to_unified( + raw_file_ids=frozenset( + file_id + for _, batch_obj in parsed_rows + for file_id in (batch_obj.input_file_id, batch_obj.output_file_id, batch_obj.error_file_id) + if file_id and not _is_base64_encoded_unified_file_id(file_id) + ), + prisma_client=self.prisma_client, + ) + resolved_batches: Final = [ + await self._resolve_listed_batch( + row=row, + batch_obj=batch_obj, + unified_id_by_raw_id=unified_id_by_raw_id, + user_api_key_dict=user_api_key_dict, + ) + for row, batch_obj in parsed_rows + ] + return build_list_page( + [batch_obj for batch_obj in resolved_batches if batch_obj is not None], + has_more=has_more, + ) - except Exception as e: - verbose_logger.warning( - f"Failed to parse batch object {batch.unified_object_id}: {e}" - ) - continue - - return build_list_page(batch_objects, has_more=has_more) + async def _resolve_listed_batch( + self, + row: "PrismaManagedObjectRow", + batch_obj: LiteLLMBatch, + unified_id_by_raw_id: Mapping[str, str], + user_api_key_dict: UserAPIKeyAuth, + ) -> Optional[LiteLLMBatch]: + apply_unified_file_ids(batch_obj, unified_id_by_raw_id) + try: + await ensure_batch_response_managed_file_ids( + response=batch_obj, + managed_files_obj=self, + prisma_client=self.prisma_client, + verbose_proxy_logger=verbose_logger, + user_api_key_dict=user_api_key_dict, + db_batch_object=row, + unified_batch_id=_is_base64_encoded_unified_file_id( + row.unified_object_id + ), + ) + except Exception as e: + verbose_logger.warning( + f"Failed to resolve managed file ids for batch {row.unified_object_id}: {e}" + ) + return None + return batch_obj async def get_user_created_file_ids( self, user_api_key_dict: UserAPIKeyAuth, model_object_ids: List[str] diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index 080b8b80ae4..bf83a7cf25c 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -1,6 +1,7 @@ import base64 import mimetypes import re +from collections.abc import Mapping from dataclasses import dataclass, field from types import MappingProxyType from typing import TYPE_CHECKING, Final, Literal, Optional @@ -16,6 +17,7 @@ if TYPE_CHECKING: from prisma.models import LiteLLM_ManagedObjectTable from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.utils import PrismaClient from litellm.router import Router from litellm.types.utils import LiteLLMBatch @@ -1002,6 +1004,34 @@ async def resolve_output_file_ids_to_unified(response, prisma_client) -> None: pass +async def map_raw_file_ids_to_unified( + raw_file_ids: frozenset[str], prisma_client: "PrismaClient | None" +) -> Mapping[str, str]: + if not raw_file_ids or not prisma_client: + return MappingProxyType({}) + managed_files: Final = await ManagedFileRepository(prisma_client).table.find_many( + where={"flat_model_file_ids": {"hasSome": sorted(raw_file_ids)}} # mutable-ok: prisma where is a plain dict + ) + return MappingProxyType( + { + raw_id: managed_file.unified_file_id + for managed_file in managed_files + for raw_id in managed_file.flat_model_file_ids + if raw_id in raw_file_ids + } + ) + + +def apply_unified_file_ids(response: "LiteLLMBatch", unified_id_by_raw_id: Mapping[str, str]) -> None: + for file_attr, raw_id in ( + ("input_file_id", getattr(response, "input_file_id", None)), + ("output_file_id", getattr(response, "output_file_id", None)), + ("error_file_id", getattr(response, "error_file_id", None)), + ): + if isinstance(raw_id, str) and raw_id in unified_id_by_raw_id: + setattr(response, file_attr, unified_id_by_raw_id[raw_id]) + + async def ensure_batch_response_managed_file_ids( response, managed_files_obj, diff --git a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py index fc10a1257e1..e1e5cc6c532 100644 --- a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py +++ b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py @@ -1869,15 +1869,12 @@ async def test_list_batches_registers_and_returns_unified_output_file_ids(): input_file_row = MagicMock() input_file_row.unified_file_id = unified_input_file_id + input_file_row.flat_model_file_ids = [raw_input_file_id] - def find_managed_file(where): - if where["flat_model_file_ids"]["has"] == raw_input_file_id: - return input_file_row - return None - - prisma_client.db.litellm_managedfiletable.find_first = AsyncMock( - side_effect=find_managed_file + prisma_client.db.litellm_managedfiletable.find_many = AsyncMock( + return_value=[input_file_row] ) + prisma_client.db.litellm_managedfiletable.find_first = AsyncMock(return_value=None) proxy_managed_files = _PROXY_LiteLLMManagedFiles( DualCache(), prisma_client=prisma_client @@ -1892,6 +1889,13 @@ async def test_list_batches_registers_and_returns_unified_output_file_ids(): assert listed.id == unified_batch_uid assert listed.input_file_id == unified_input_file_id + bulk_lookup = prisma_client.db.litellm_managedfiletable.find_many.await_args + assert set(bulk_lookup.kwargs["where"]["flat_model_file_ids"]["hasSome"]) == { + raw_input_file_id, + raw_output_file_id, + raw_error_file_id, + } + decoded_output = _decode_unified_id(listed.output_file_id) assert decoded_output.startswith("litellm_proxy") assert f"llm_output_file_id,{raw_output_file_id}" in decoded_output @@ -1914,33 +1918,43 @@ async def test_list_batches_registers_and_returns_unified_output_file_ids(): @pytest.mark.asyncio async def test_list_batches_resolves_existing_managed_rows_without_minting(): """When the raw provider file IDs already have managed file rows, listing must - swap in the existing unified IDs and must not upsert duplicate rows.""" + swap in the existing unified IDs via one bulk lookup for the whole page, with + no per-row queries and no duplicate upserts.""" from litellm.proxy._types import UserAPIKeyAuth - unified_batch_uid = _create_unified_batch_id("model-123", "batch-456") - raw_output_file_id = "file-list-out-existing" - existing_unified_output_id = base64.urlsafe_b64encode( - f"litellm_proxy:application/json;unified_id,u-9;llm_output_file_id,{raw_output_file_id}".encode() + unified_input_file_id = base64.urlsafe_b64encode( + b"litellm_proxy:application/octet-stream;unified_id,in-9;target_model_names,gpt-5-batch" ).decode() + raw_output_file_ids = ["file-list-out-existing-1", "file-list-out-existing-2"] + existing_unified_output_ids = [ + base64.urlsafe_b64encode( + f"litellm_proxy:application/json;unified_id,u-{i};llm_output_file_id,{raw_id}".encode() + ).decode() + for i, raw_id in enumerate(raw_output_file_ids) + ] - record = _terminal_batch_record( - unified_batch_uid, "file-list-in-9", raw_output_file_id, "" - ) + records = [ + _terminal_batch_record( + _create_unified_batch_id("model-123", f"batch-{i}"), + unified_input_file_id, + raw_id, + "", + ) + for i, raw_id in enumerate(raw_output_file_ids) + ] prisma_client = AsyncMock() - prisma_client.db.litellm_managedobjecttable.find_many.return_value = [record] + prisma_client.db.litellm_managedobjecttable.find_many.return_value = records - existing_row = MagicMock() - existing_row.unified_file_id = existing_unified_output_id + existing_rows = [ + MagicMock(unified_file_id=unified_id, flat_model_file_ids=[raw_id]) + for raw_id, unified_id in zip(raw_output_file_ids, existing_unified_output_ids) + ] - def find_managed_file(where): - if where["flat_model_file_ids"]["has"] == raw_output_file_id: - return existing_row - return None - - prisma_client.db.litellm_managedfiletable.find_first = AsyncMock( - side_effect=find_managed_file + prisma_client.db.litellm_managedfiletable.find_many = AsyncMock( + return_value=existing_rows ) + prisma_client.db.litellm_managedfiletable.find_first = AsyncMock() proxy_managed_files = _PROXY_LiteLLMManagedFiles( DualCache(), prisma_client=prisma_client @@ -1951,10 +1965,38 @@ async def test_list_batches_resolves_existing_managed_rows_without_minting(): limit=10, ) - assert result["data"][0].output_file_id == existing_unified_output_id + assert [b.output_file_id for b in result["data"]] == existing_unified_output_ids + prisma_client.db.litellm_managedfiletable.find_many.assert_awaited_once() + prisma_client.db.litellm_managedfiletable.find_first.assert_not_awaited() prisma_client.db.litellm_managedfiletable.upsert.assert_not_awaited() +@pytest.mark.asyncio +async def test_list_batches_caps_page_size_at_100(): + """The list page size must be capped at 100 rows (matching OpenAI's limit) + even when the caller asks for more, so one request cannot fan out into an + unbounded scan.""" + from litellm.proxy._types import UserAPIKeyAuth + + prisma_client = AsyncMock() + prisma_client.db.litellm_managedobjecttable.find_many.return_value = [] + + proxy_managed_files = _PROXY_LiteLLMManagedFiles( + DualCache(), prisma_client=prisma_client + ) + + result = await proxy_managed_files.list_user_batches( + user_api_key_dict=UserAPIKeyAuth(user_id="owner-user"), + limit=100000, + ) + + assert ( + prisma_client.db.litellm_managedobjecttable.find_many.await_args.kwargs["take"] + == 101 + ) + assert result["data"] == [] + + @pytest.mark.asyncio async def test_list_batches_from_managed_objects_table_provider_filter_raises_exception(): from litellm.proxy._types import UserAPIKeyAuth From 5a5bb8c9d844870c25684e169960f1571d08e5ce Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Thu, 6 Aug 2026 15:29:39 +0000 Subject: [PATCH 011/120] fix(proxy): stop /{provider}/v1/files from capturing /openai_passthrough The native files and batches routes declare /{provider}/v1/... and their routers are mounted before the passthrough router, so /openai_passthrough/v1/files and /openai_passthrough/v1/batches matched them with provider="openai_passthrough" and 500'd on the LlmProviders lookup instead of reaching openai_proxy_route. Move the dedicated /openai_passthrough prefix onto its own router mounted ahead of the batches and files routers. /openai/... and every other provider prefix keep their current behavior. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../llm_passthrough_endpoints.py | 3 +- litellm/proxy/proxy_server.py | 2 + .../test_llm_pass_through_endpoints.py | 57 +++++++++++++++++++ 3 files changed, 61 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py index 38da00a3bb9..baa74c19182 100644 --- a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py @@ -60,6 +60,7 @@ from .passthrough_endpoint_router import PassthroughEndpointRouter vertex_llm_base: Final = VertexBase() router: Final = APIRouter() +openai_passthrough_router: Final = APIRouter() default_vertex_config: Final = None passthrough_endpoint_router: Final = PassthroughEndpointRouter() @@ -1875,7 +1876,7 @@ async def vertex_proxy_route( ) -@router.api_route( +@openai_passthrough_router.api_route( "/openai_passthrough/{endpoint:path}", methods=["GET", "POST", "PUT", "DELETE", "PATCH"], tags=["OpenAI Pass-through", "pass-through"], diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index fb9c4e67aad..e75277e7f0a 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -522,6 +522,7 @@ from litellm.proxy.openai_files_endpoints.files_endpoints import ( set_files_config, ) from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( + openai_passthrough_router, passthrough_endpoint_router, vertex_ai_live_websocket_passthrough, ) @@ -16433,6 +16434,7 @@ app.include_router(search_router) app.include_router(image_router) app.include_router(fine_tuning_router) app.include_router(credential_router) +app.include_router(openai_passthrough_router) app.include_router(batches_router) app.include_router(openai_files_router) app.include_router(llm_passthrough_router) diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py index 181846fe289..27d6e4c8585 100644 --- a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py +++ b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py @@ -2814,6 +2814,63 @@ class TestOpenAIPassthroughRoute: assert result == {"id": "asst_123", "object": "assistant"} +def _resolve_route_name(method: str, path: str) -> str | None: + from starlette.routing import Match + + from litellm.proxy.proxy_server import app + + scope = { + "type": "http", + "method": method, + "path": path, + "headers": [], + "query_string": b"", + "root_path": "", + } + for route in app.router.routes: + if route.matches(scope)[0] == Match.FULL: + return getattr(route, "name", None) + return None + + +@pytest.mark.parametrize( + "method, path", + [ + ("POST", "/openai_passthrough/v1/files"), + ("GET", "/openai_passthrough/v1/files"), + ("GET", "/openai_passthrough/v1/files/file-abc123"), + ("DELETE", "/openai_passthrough/v1/files/file-abc123"), + ("GET", "/openai_passthrough/v1/files/file-abc123/content"), + ("POST", "/openai_passthrough/v1/batches"), + ("GET", "/openai_passthrough/v1/batches"), + ("GET", "/openai_passthrough/v1/batches/batch_abc123"), + ("POST", "/openai_passthrough/v1/batches/batch_abc123/cancel"), + ("POST", "/openai_passthrough/v1/responses"), + ], +) +def test_openai_passthrough_prefix_wins_over_native_provider_routes(method, path): + """ + /openai_passthrough exists to guarantee passthrough, so the native + /{provider}/v1/files and /{provider}/v1/batches routes must never capture it + with provider="openai_passthrough" (which 500s on the LlmProviders lookup). + """ + assert _resolve_route_name(method, path) == "openai_proxy_route" + + +@pytest.mark.parametrize( + "method, path, expected_name", + [ + ("POST", "/openai/v1/files", "create_file"), + ("GET", "/azure/v1/files", "list_files"), + ("POST", "/v1/files", "create_file"), + ("POST", "/v1/batches", "create_batch"), + ("POST", "/openai/v1/chat/completions", "openai_proxy_route"), + ], +) +def test_native_provider_routes_are_unchanged(method, path, expected_name): + assert _resolve_route_name(method, path) == expected_name + + class TestCursorProxyRoute: """Tests for the Cursor Cloud Agents pass-through route.""" From 357f90fa39d18c9a158a978ebd1ed0fecac6044d Mon Sep 17 00:00:00 2001 From: "devin-ai-integration[bot]" <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Thu, 6 Aug 2026 15:33:40 +0000 Subject: [PATCH 012/120] fix(proxy): scope file list pagination cursors to the caller GET /v1/files filters data down to the caller's own managed files but left first_id and last_id as the upstream page's, so a non-owner got back file ids belonging to other users even with an empty data array --- .../proxy/hooks/managed_files.py | 15 +++ .../proxy/hooks/test_managed_files.py | 100 ++++++++++++++++++ 2 files changed, 115 insertions(+) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 0036603bcd1..851e202e2fb 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -1270,10 +1270,25 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) ## Filter the response to only include the files created by the user response.data = user_created_file_ids # type: ignore + self._scope_list_page_cursors(response, user_created_file_ids) return response return response return response + @staticmethod + def _scope_list_page_cursors(response: AsyncCursorPage, data: List[OpenAIFileObject]) -> None: + """Rebuild ``first_id`` / ``last_id`` from the caller-scoped page. + + The upstream cursors point at rows that were just filtered out, so + leaving them in place discloses other callers' file ids. + """ + if hasattr(response, "first_id"): + response.first_id = data[0].id if data else None + if hasattr(response, "last_id"): + response.last_id = data[-1].id if data else None + if not data and hasattr(response, "has_more"): + response.has_more = False + async def afile_retrieve( self, file_id: str, litellm_parent_otel_span: Optional[Span], llm_router=None ) -> OpenAIFileObject: diff --git a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py index 50af6465d06..3384c553740 100644 --- a/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py +++ b/tests/enterprise/litellm_enterprise/proxy/hooks/test_managed_files.py @@ -2861,3 +2861,103 @@ async def test_same_user_different_keys_can_access_batch(): assert "batch_id" in result2 # Both keys should get the same result assert result1["batch_id"] == result2["batch_id"] + + +@pytest.mark.asyncio +async def test_file_list_cursors_are_scoped_to_the_caller(): + """A non-owner must not learn other callers' file ids through the page cursors.""" + from openai.pagination import AsyncCursorPage + from openai.types import FileObject + + from litellm.proxy._types import UserAPIKeyAuth + + owner_file = FileObject( + id="file-owner-1", + bytes=100, + created_at=1, + filename="owner.jsonl", + object="file", + purpose="batch", + status="processed", + ) + upstream_page = AsyncCursorPage[FileObject].construct( + data=[owner_file], + has_more=True, + first_id=owner_file.id, + last_id=owner_file.id, + object="list", + ) + + prisma_client = AsyncMock() + prisma_client.db.litellm_managedfiletable.find_many.return_value = [] + proxy_managed_files = _PROXY_LiteLLMManagedFiles( + DualCache(), prisma_client=prisma_client + ) + + response = await proxy_managed_files.async_post_call_success_hook( + data={}, + user_api_key_dict=UserAPIKeyAuth( + user_id="other-user", team_id="other-team", parent_otel_span=MagicMock() + ), + response=upstream_page, + ) + + assert response.data == [] + assert response.first_id is None + assert response.last_id is None + assert response.has_more is False + + +@pytest.mark.asyncio +async def test_file_list_cursors_follow_the_owner_scoped_page(): + from openai.pagination import AsyncCursorPage + from openai.types import FileObject + + from litellm.proxy._types import UserAPIKeyAuth + + def _raw_file(file_id: str) -> FileObject: + return FileObject( + id=file_id, + bytes=100, + created_at=1, + filename=f"{file_id}.jsonl", + object="file", + purpose="batch", + status="processed", + ) + + upstream_page = AsyncCursorPage[FileObject].construct( + data=[_raw_file("file-someone-else"), _raw_file("file-mine")], + has_more=False, + first_id="file-someone-else", + last_id="file-mine", + object="list", + ) + + managed_row = MagicMock() + managed_row.file_object = { + "id": "litellm_proxy:mine", + "bytes": 100, + "created_at": 1, + "filename": "mine.jsonl", + "object": "file", + "purpose": "batch", + "status": "processed", + } + prisma_client = AsyncMock() + prisma_client.db.litellm_managedfiletable.find_many.return_value = [managed_row] + proxy_managed_files = _PROXY_LiteLLMManagedFiles( + DualCache(), prisma_client=prisma_client + ) + + response = await proxy_managed_files.async_post_call_success_hook( + data={}, + user_api_key_dict=UserAPIKeyAuth( + user_id="mine-user", parent_otel_span=MagicMock() + ), + response=upstream_page, + ) + + assert [file_object.id for file_object in response.data] == ["litellm_proxy:mine"] + assert response.first_id == "litellm_proxy:mine" + assert response.last_id == "litellm_proxy:mine" From 845680ed1dc1e2f4b6c4493a00289e2f9422bbf0 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Thu, 6 Aug 2026 10:50:09 -0700 Subject: [PATCH 013/120] test(proxy): unit test batch file id mapping helpers directly --- .../test_common_utils.py | 97 +++++++++++++++++++ 1 file changed, 97 insertions(+) create mode 100644 tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py b/tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py new file mode 100644 index 00000000000..4a021627c3e --- /dev/null +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py @@ -0,0 +1,97 @@ +import os +import sys +from types import MappingProxyType +from unittest.mock import AsyncMock, MagicMock + +import pytest + +sys.path.insert(0, os.path.abspath("../../../..")) + +from litellm.proxy.openai_files_endpoints.common_utils import ( + apply_unified_file_ids, + map_raw_file_ids_to_unified, +) +from litellm.types.utils import LiteLLMBatch + + +def _batch(input_file_id, output_file_id, error_file_id) -> LiteLLMBatch: + return LiteLLMBatch( + id="batch-1", + completion_window="24h", + created_at=1234567890, + endpoint="/v1/chat/completions", + input_file_id=input_file_id, + object="batch", + status="cancelled", + output_file_id=output_file_id, + error_file_id=error_file_id, + ) + + +@pytest.mark.asyncio +async def test_map_raw_file_ids_to_unified_empty_ids_skips_db(): + prisma_client = MagicMock() + + assert await map_raw_file_ids_to_unified(frozenset(), prisma_client) == {} + + prisma_client.db.litellm_managedfiletable.find_many.assert_not_called() + + +@pytest.mark.asyncio +async def test_map_raw_file_ids_to_unified_no_prisma_client_returns_empty(): + assert await map_raw_file_ids_to_unified(frozenset({"file-raw-1"}), None) == {} + + +@pytest.mark.asyncio +async def test_map_raw_file_ids_to_unified_bulk_queries_and_filters_to_requested_ids(): + row_a = MagicMock( + unified_file_id="unified-a", + flat_model_file_ids=["file-raw-a", "file-raw-other"], + ) + row_b = MagicMock(unified_file_id="unified-b", flat_model_file_ids=["file-raw-b"]) + prisma_client = MagicMock() + prisma_client.db.litellm_managedfiletable.find_many = AsyncMock(return_value=[row_a, row_b]) + + mapping = await map_raw_file_ids_to_unified( + frozenset({"file-raw-b", "file-raw-a", "file-raw-missing"}), prisma_client + ) + + prisma_client.db.litellm_managedfiletable.find_many.assert_awaited_once_with( + where={"flat_model_file_ids": {"hasSome": ["file-raw-a", "file-raw-b", "file-raw-missing"]}} + ) + assert dict(mapping) == {"file-raw-a": "unified-a", "file-raw-b": "unified-b"} + + +def test_apply_unified_file_ids_swaps_only_mapped_ids(): + batch = _batch(input_file_id="file-raw-in", output_file_id="file-raw-out", error_file_id=None) + + apply_unified_file_ids(batch, MappingProxyType({"file-raw-out": "unified-out"})) + + assert batch.input_file_id == "file-raw-in" + assert batch.output_file_id == "unified-out" + assert batch.error_file_id is None + + +def test_apply_unified_file_ids_swaps_all_three_ids(): + batch = _batch( + input_file_id="file-raw-in", + output_file_id="file-raw-out", + error_file_id="file-raw-err", + ) + + apply_unified_file_ids( + batch, + MappingProxyType( + { + "file-raw-in": "unified-in", + "file-raw-out": "unified-out", + "file-raw-err": "unified-err", + } + ), + ) + + assert (batch.input_file_id, batch.output_file_id, batch.error_file_id) == ( + "unified-in", + "unified-out", + "unified-err", + ) From 8466ed0920021b765c0ec6483b0e96d121f2373b Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Mon, 3 Aug 2026 21:05:51 +0000 Subject: [PATCH 014/120] fix(websearch_interception): bill and rate limit intercepted searches against the calling key An intercepted web search called litellm.asearch() with only the search tool's litellm_params, so the search request carried no owner. The proxy's spend hook skips any call with no key, user or team attached, so the search's provider cost never reached SpendLogs; it was missing from the Logs page and never counted against the caller's budget. The same path never ran the rate limiter either, so an intercepted search was free of the key's RPM/TPM limits. The search now carries the originating key's attribution metadata (key hash, alias, user, team, org, plus model_group set to the resolved search tool) and runs the caller's rate limit checks before hitting the provider, matching what a direct /v1/search request gets. SDK calls with no proxy auth context are unchanged. Resolves LIT-5033 Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../websearch_interception/handler.py | 46 ++++++++- .../test_websearch_interception_handler.py | 97 +++++++++++++++++-- 2 files changed, 132 insertions(+), 11 deletions(-) diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 71388134e98..6be64c89828 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -40,7 +40,7 @@ from litellm.types.integrations.websearch_interception import ( WebSearchInterceptionConfig, ) from litellm.types.llms.openai import AllMessageValues -from litellm.types.utils import CallTypes, LlmProviders +from litellm.types.utils import CallTypes, LlmProviders, StandardLoggingUserAPIKeyMetadata from litellm.utils import ProviderConfigManager if TYPE_CHECKING: @@ -1288,10 +1288,14 @@ class WebSearchInterceptionLogger(CustomLogger): search_tool: Final = self._select_search_tool_from_router(llm_router=llm_router) search_provider: str | None = None search_litellm_params: dict[str, Any] = {} + search_tool_name: str | None = None if search_tool is not None: await self._authorize_search_tool(search_tool=search_tool, kwargs=kwargs) search_litellm_params = dict(search_tool.get("litellm_params", {}) or {}) search_provider = search_litellm_params.get("search_provider") + selected_tool_name = search_tool.get("search_tool_name") + if isinstance(selected_tool_name, str) and selected_tool_name: + search_tool_name = selected_tool_name # Fallback to perplexity if no router or no search tools configured if not search_provider: @@ -1304,10 +1308,22 @@ class WebSearchInterceptionLogger(CustomLogger): verbose_logger.debug( "WebSearchInterception: Executing search for '%s' using provider '%s'", query, search_provider ) + user_api_key_auth: Final = self._get_user_api_key_auth_from_kwargs(kwargs) + search_metadata: Final = ( + None + if user_api_key_auth is None + else self._build_search_request_metadata( + user_api_key_auth=user_api_key_auth, + search_tool_name=search_tool_name, + ) + ) search_kwargs: Final = { - key: value - for key, value in search_litellm_params.items() - if key != "search_provider" and value is not None + **{ + key: value + for key, value in search_litellm_params.items() + if key != "search_provider" and value is not None + }, + **({} if search_metadata is None else {"litellm_metadata": search_metadata}), } result: Final = await litellm.asearch(query=query, search_provider=search_provider, **search_kwargs) @@ -1366,6 +1382,28 @@ class WebSearchInterceptionLogger(CustomLogger): team_object=team_object, ) + @staticmethod + def _build_search_request_metadata( + user_api_key_auth: "UserAPIKeyAuth", + search_tool_name: str | None, + ) -> dict[str, object]: + """ + Spend-tracking metadata for the intercepted search, so its provider cost is logged + and billed against the key/user/team that made the originating LLM request instead + of being dropped by the proxy's spend hook for lack of an owner. + """ + from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup + + user_api_key_metadata: StandardLoggingUserAPIKeyMetadata = ( + LiteLLMProxyRequestSetup.get_sanitized_user_information_from_key(user_api_key_dict=user_api_key_auth) + ) + return { + **user_api_key_metadata, + **({} if search_tool_name is None else {"model_group": search_tool_name}), + "user_api_key": user_api_key_auth.api_key, + "user_api_key_auth": user_api_key_auth, + } + @staticmethod def _get_user_api_key_auth_from_kwargs(kwargs: Mapping[str, object] | None) -> "UserAPIKeyAuth | None": if not kwargs: diff --git a/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py b/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py index b6ff3b70a4d..f39f41a6d12 100644 --- a/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py +++ b/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py @@ -221,14 +221,97 @@ async def test_execute_search_passes_selected_search_tool_litellm_params(monkeyp kwargs={"litellm_params": {"metadata": {"user_api_key_auth": user_api_key_auth}}}, ) - mock_asearch.assert_awaited_once_with( - query="what is litellm", - search_provider="tavily", - api_key="fake-ui-key", - api_base="https://api.tavily.com", - timeout=10.0, - max_retries=2, + forwarded_kwargs = mock_asearch.await_args.kwargs + assert forwarded_kwargs["query"] == "what is litellm" + assert forwarded_kwargs["search_provider"] == "tavily" + assert forwarded_kwargs["api_key"] == "fake-ui-key" + assert forwarded_kwargs["api_base"] == "https://api.tavily.com" + assert forwarded_kwargs["timeout"] == 10.0 + assert forwarded_kwargs["max_retries"] == 2 + + +@pytest.mark.asyncio +async def test_execute_search_attributes_spend_to_the_calling_key(monkeypatch): + """An intercepted search is billed and logged against the key that made the LLM request. + + Without the forwarded attribution metadata the proxy's spend hook skips the search + entirely, so its provider cost never reaches SpendLogs or any budget. + """ + import litellm + from litellm.proxy import proxy_server + from litellm.proxy.hooks.proxy_track_cost_callback import _should_track_cost_callback + + logger = WebSearchInterceptionLogger( + enabled_providers=["bedrock"], + search_tool_name="perplexity-sonar-pro", ) + router = MagicMock() + router.search_tools = [ + { + "search_tool_name": "perplexity-sonar-pro", + "litellm_params": {"search_provider": "perplexity", "api_key": "fake-key"}, + } + ] + mock_asearch = AsyncMock(return_value=SearchResponse(object="search", results=[])) + user_api_key_auth = UserAPIKeyAuth( + api_key="hashed-sk-1234", + key_alias="alice-key", + user_id="user-alice", + org_id="org-1", + ) + + monkeypatch.setattr(proxy_server, "llm_router", router) + monkeypatch.setattr(litellm, "asearch", mock_asearch) + + await logger._execute_search( + "what is litellm", + kwargs={"litellm_params": {"metadata": {"user_api_key_auth": user_api_key_auth}}}, + ) + + forwarded_metadata = mock_asearch.await_args.kwargs["litellm_metadata"] + assert forwarded_metadata["user_api_key"] == "hashed-sk-1234" + assert forwarded_metadata["user_api_key_hash"] == "hashed-sk-1234" + assert forwarded_metadata["user_api_key_alias"] == "alice-key" + assert forwarded_metadata["user_api_key_user_id"] == "user-alice" + assert forwarded_metadata["user_api_key_org_id"] == "org-1" + assert forwarded_metadata["model_group"] == "perplexity-sonar-pro" + assert ( + _should_track_cost_callback( + user_api_key=forwarded_metadata["user_api_key"], + user_id=forwarded_metadata["user_api_key_user_id"], + team_id=forwarded_metadata["user_api_key_team_id"], + end_user_id=None, + call_type="asearch", + ) + is True + ) + + +@pytest.mark.asyncio +async def test_execute_search_without_proxy_auth_context_stays_sdk_only(monkeypatch): + """SDK callers have no key to attribute the search to, so no proxy metadata is invented.""" + import litellm + from litellm.proxy import proxy_server + + logger = WebSearchInterceptionLogger( + enabled_providers=["bedrock"], + search_tool_name="perplexity-sonar-pro", + ) + router = MagicMock() + router.search_tools = [ + { + "search_tool_name": "perplexity-sonar-pro", + "litellm_params": {"search_provider": "perplexity", "api_key": "fake-key"}, + } + ] + mock_asearch = AsyncMock(return_value=SearchResponse(object="search", results=[])) + + monkeypatch.setattr(proxy_server, "llm_router", router) + monkeypatch.setattr(litellm, "asearch", mock_asearch) + + await logger._execute_search("what is litellm", kwargs={"litellm_params": {}}) + + assert "litellm_metadata" not in mock_asearch.await_args.kwargs @pytest.mark.asyncio From a0e35990cf6eb9eac80a7ad36ee1853eff7440da Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Thu, 6 Aug 2026 23:15:48 -0700 Subject: [PATCH 015/120] test: rename openai files common utils test to a unique basename --- .../{test_common_utils.py => test_files_common_utils.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tests/test_litellm/proxy/openai_files_endpoint/{test_common_utils.py => test_files_common_utils.py} (100%) diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_common_utils.py similarity index 100% rename from tests/test_litellm/proxy/openai_files_endpoint/test_common_utils.py rename to tests/test_litellm/proxy/openai_files_endpoint/test_files_common_utils.py From f9b86b253a3fb87d003bb5ccc80c7d89aa91dd62 Mon Sep 17 00:00:00 2001 From: Harry Qian Date: Tue, 4 Aug 2026 17:14:26 +0800 Subject: [PATCH 016/120] fix(proxy): restore query-param validation under fastapi>=0.140.7 fastapi 0.140.7 removed get_flat_dependant(), which broke the import in management_v1/common.py and took down every /management/v1 route. Switch to get_flat_params() and filter to ParamTypes.query so unknown-query-param rejection keeps matching the old behavior. --- .../management_endpoints/management_v1/common.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/management_endpoints/management_v1/common.py b/litellm/proxy/management_endpoints/management_v1/common.py index 8525d67a041..ec79820465a 100644 --- a/litellm/proxy/management_endpoints/management_v1/common.py +++ b/litellm/proxy/management_endpoints/management_v1/common.py @@ -4,7 +4,8 @@ from typing import Final from urllib.parse import urlencode from fastapi import Request -from fastapi.dependencies.utils import get_flat_dependant +from fastapi.dependencies.utils import get_flat_params +from fastapi.params import ParamTypes from fastapi.responses import JSONResponse from litellm.types.proxy.management_endpoints.management_v1 import ( @@ -42,7 +43,13 @@ def _declared_query_params(request: Request) -> frozenset[str]: dependant: Final = getattr(route, "dependant", None) if dependant is None: return frozenset() - return frozenset(field.alias for field in get_flat_dependant(dependant, skip_repeats=True).query_params) + # fastapi>=0.140.7 removed get_flat_dependant(); get_flat_params() returns the + # flattened (deduped) param list. Filter to query params to match the old behavior. + return frozenset( + field.alias + for field in get_flat_params(dependant) + if getattr(field.field_info, "in_", None) == ParamTypes.query + ) def escape_like(value: str) -> str: From da443d1266615507f52a101b461c80e0265069ae Mon Sep 17 00:00:00 2001 From: Harry Qian Date: Tue, 4 Aug 2026 18:21:22 +0800 Subject: [PATCH 017/120] test(proxy): lock in query-param validation across fastapi param types Guards _declared_query_params against a regression in the get_flat_params migration: the flatten step returns path, query, header and cookie params together, so a dropped ParamTypes.query filter would wrongly treat path or header names as declared query params and accept unknown ones. Removing the filter fails these tests. --- .../management_v1/test_common.py | 95 +++++++++++++++++++ 1 file changed, 95 insertions(+) create mode 100644 tests/test_litellm/proxy/management_endpoints/management_v1/test_common.py diff --git a/tests/test_litellm/proxy/management_endpoints/management_v1/test_common.py b/tests/test_litellm/proxy/management_endpoints/management_v1/test_common.py new file mode 100644 index 00000000000..167a06ed551 --- /dev/null +++ b/tests/test_litellm/proxy/management_endpoints/management_v1/test_common.py @@ -0,0 +1,95 @@ +from typing import Annotated + +from fastapi import Depends, FastAPI, Header, Query, Request +from fastapi.testclient import TestClient + +from litellm.proxy.management_endpoints.management_v1.common import ( + ManagementProblem, + PROBLEM_CONTENT_TYPE, + _declared_query_params, + problem_response, + reject_unknown_query_params, +) + + +def _client() -> TestClient: + app = FastAPI() + + @app.exception_handler(ManagementProblem) + async def _handle(_request: Request, exc: ManagementProblem): + return problem_response(exc.problem) + + @app.get("/things/{thing_id}", dependencies=[Depends(reject_unknown_query_params)]) + def _handler( + thing_id: str, + request: Request, + status: Annotated[str | None, Query(alias="filter[status]")] = None, + page: Annotated[int, Query(ge=1)] = 1, + x_trace: Annotated[str | None, Header()] = None, + ) -> dict[str, bool]: + return {"ok": True} + + return TestClient(app, raise_server_exceptions=False) + + +def test_a_declared_query_param_is_accepted_by_its_alias(): + response = _client().get("/things/abc", params={"filter[status]": "active", "page": "2"}) + assert response.status_code == 200, response.text + + +def test_an_unknown_query_param_is_rejected_as_a_problem(): + response = _client().get("/things/abc", params={"bogus": "x"}) + assert response.status_code == 400 + assert response.headers["content-type"].startswith(PROBLEM_CONTENT_TYPE) + assert "bogus" in response.json()["detail"] + + +def test_a_path_param_name_is_not_a_declared_query_param(): + """The flatten step returns path+query+header together; only query names count as declared. + + If the ParamTypes.query filter were dropped, `thing_id` (a path param) would leak + into the declared set and this request would be wrongly accepted. + """ + response = _client().get("/things/abc", params={"thing_id": "x"}) + assert response.status_code == 400 + assert "thing_id" in response.json()["detail"] + + +def test_a_header_param_name_is_not_a_declared_query_param(): + response = _client().get("/things/abc", params={"x-trace": "x"}) + assert response.status_code == 400 + assert "x-trace" in response.json()["detail"] + + +def test_declared_query_params_isolates_query_aliases_from_other_param_types(): + captured: dict[str, frozenset[str]] = {} + app = FastAPI() + + @app.get("/things/{thing_id}") + def _handler( + thing_id: str, + request: Request, + status: Annotated[str | None, Query(alias="filter[status]")] = None, + page: Annotated[int, Query(ge=1)] = 1, + x_trace: Annotated[str | None, Header()] = None, + ) -> dict[str, bool]: + captured["declared"] = _declared_query_params(request) + return {"ok": True} + + TestClient(app).get("/things/abc") + assert captured["declared"] == frozenset({"filter[status]", "page"}) + + +def test_declared_query_params_is_empty_when_the_route_has_no_dependant(): + request = Request( + { + "type": "http", + "method": "GET", + "scheme": "http", + "root_path": "", + "path": "/things/abc", + "query_string": b"", + "headers": [(b"host", b"testserver")], + } + ) + assert _declared_query_params(request) == frozenset() From 5883aa354d42a3225fef485034e86a52a275cdd7 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 04:45:39 -0700 Subject: [PATCH 018/120] fix(router): keep batch fallbacks inside the model group that owns the file A batch or fine-tuning job is created from a file the caller already uploaded, and that file only exists under the credentials of the deployment that stored it. When the router fell back to a different model group it handed that file id to a provider that has never seen it, so the caller got the second provider's complaint about the file id instead of the error that explains what was actually wrong with their request. run_async_fallback now skips fallback targets outside the original model group whenever the request carries input_file_id or training_file. Order-based fallbacks stay inside the group, so retrying across deployments still works. The same handler also crashed with "'NoneType' object has no attribute 'update'" whenever a fallback fired on a request with metadata set to None, which /v1/batches always does when the caller sends no metadata, turning the provider's 400 into a 500. Record the model group with a merge instead of setdefault, and write it to litellm_metadata on the endpoints that use it so the router's bookkeeping no longer lands in the metadata stored on the provider's batch. --- .../router_utils/fallback_event_handlers.py | 41 ++++- .../test_fallback_event_handlers.py | 141 ++++++++++++++++++ tests/test_litellm/test_router.py | 62 ++++++++ 3 files changed, 241 insertions(+), 3 deletions(-) diff --git a/litellm/router_utils/fallback_event_handlers.py b/litellm/router_utils/fallback_event_handlers.py index 1c6bb52ccb8..c4a84a1d61e 100644 --- a/litellm/router_utils/fallback_event_handlers.py +++ b/litellm/router_utils/fallback_event_handlers.py @@ -9,6 +9,7 @@ from litellm.router_utils.add_retry_fallback_headers import ( add_fallback_headers_to_response, get_fallback_error_info, ) +from litellm.router_utils.batch_utils import _get_router_metadata_variable_name from litellm.types.router import LiteLLMParamsTypedDict if TYPE_CHECKING: @@ -82,6 +83,28 @@ def get_fallback_model_group(fallbacks: list[Any], model_group: str) -> tuple[li return fallback_model_group, generic_fallback_idx +PROVIDER_SCOPED_RESOURCE_KEYS: Final = ("input_file_id", "training_file") + + +def _get_fallback_target_model_group(fallback_entry: str | dict[str, object]) -> str | None: + if isinstance(fallback_entry, str): + return fallback_entry + target: Final = fallback_entry.get("model") + return target if isinstance(target, str) else None + + +def references_provider_scoped_resource(kwargs: dict[str, object]) -> bool: + """ + True when the request names a file that only exists under one provider's credentials. + + Batch and fine-tuning jobs are created from a file the caller already uploaded, and + that file lives in the account of the deployment that stored it. Handing the id to a + different model group can only fail, and the second provider's error replaces the + error the caller actually needs to see. + """ + return any(kwargs.get(key) for key in PROVIDER_SCOPED_RESOURCE_KEYS) + + async def run_async_fallback( *args: tuple[Any], litellm_router: LitellmRouter, @@ -120,10 +143,21 @@ async def run_async_fallback( error_from_fallbacks = original_exception fallback_errors = (get_fallback_error_info(original_exception),) + metadata_variable_name: Final = _get_router_metadata_variable_name( + function_name=getattr(kwargs.get("original_function"), "__name__", None) + ) + same_model_group_only: Final = references_provider_scoped_resource(kwargs) for mg in fallback_model_group: if mg == original_model_group: continue + if same_model_group_only and _get_fallback_target_model_group(mg) != original_model_group: + verbose_router_logger.info( + "Skipping fallback to model_group = %s: request is pinned to model_group = %s by its uploaded file", + mask_sensitive_structure(mg), + original_model_group, + ) + continue try: # LOGGING kwargs = litellm_router.log_retry(kwargs=kwargs, e=original_exception) @@ -132,9 +166,10 @@ async def run_async_fallback( kwargs["model"] = mg elif isinstance(mg, dict): kwargs.update(mg) - kwargs.setdefault("metadata", {}).update( - {"model_group": kwargs.get("model", None)} - ) # update model_group used, if fallbacks are done + kwargs[metadata_variable_name] = { + **(kwargs.get(metadata_variable_name) or {}), + "model_group": kwargs.get("model", None), + } # update model_group used, if fallbacks are done fallback_depth = fallback_depth + 1 kwargs["fallback_depth"] = fallback_depth kwargs["max_fallbacks"] = max_fallbacks diff --git a/tests/test_litellm/router_utils/test_fallback_event_handlers.py b/tests/test_litellm/router_utils/test_fallback_event_handlers.py index 98a34de295c..d93aa4ab023 100644 --- a/tests/test_litellm/router_utils/test_fallback_event_handlers.py +++ b/tests/test_litellm/router_utils/test_fallback_event_handlers.py @@ -142,6 +142,147 @@ async def test_run_async_fallback_skips_original_model_group(): assert response._hidden_params["additional_headers"]["x-litellm-attempted-fallbacks"] == 1 +class AttemptRecordingRouter: + def __init__(self): + self.attempted_model_groups = [] + self.received_kwargs = None + + def log_retry(self, kwargs, e): + return kwargs + + async def async_function_with_fallbacks(self, *args, **kwargs): + self.attempted_model_groups.append(kwargs.get("model")) + self.received_kwargs = kwargs + return StreamingWrapper() + + +async def _acreate_batch(*args, **kwargs): + raise AssertionError("only used for its __name__") + + +@pytest.mark.asyncio +async def test_run_async_fallback_keeps_uploaded_file_requests_in_their_model_group(): + """An input_file_id only exists under the credentials of the group it was uploaded + to, so a cross-group fallback can only fail with the wrong provider's error.""" + router = AttemptRecordingRouter() + owning_provider_error = RuntimeError("openai connection error") + + with pytest.raises(RuntimeError, match="openai connection error"): + await run_async_fallback( + litellm_router=router, + fallback_model_group=["azure-group"], + original_model_group="openai-group", + original_exception=owning_provider_error, + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + input_file_id="file-owned-by-openai", + original_function=_acreate_batch, + ) + + assert router.attempted_model_groups == [] + + +@pytest.mark.asyncio +async def test_run_async_fallback_keeps_fine_tuning_requests_in_their_model_group(): + router = AttemptRecordingRouter() + + with pytest.raises(RuntimeError, match="openai connection error"): + await run_async_fallback( + litellm_router=router, + fallback_model_group=["azure-group"], + original_model_group="openai-group", + original_exception=RuntimeError("openai connection error"), + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + training_file="file-owned-by-openai", + ) + + assert router.attempted_model_groups == [] + + +@pytest.mark.asyncio +async def test_run_async_fallback_allows_same_model_group_retry_for_uploaded_file_requests(): + """Order-based fallbacks stay inside the owning group, so they must still run.""" + router = AttemptRecordingRouter() + + await run_async_fallback( + litellm_router=router, + fallback_model_group=[{"model": "openai-group", "_target_order": 2}], + original_model_group="openai-group", + original_exception=RuntimeError("first deployment failed"), + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + input_file_id="file-owned-by-openai", + original_function=_acreate_batch, + ) + + assert router.attempted_model_groups == ["openai-group"] + + +@pytest.mark.asyncio +async def test_run_async_fallback_still_crosses_model_groups_without_an_uploaded_file(): + router = AttemptRecordingRouter() + + await run_async_fallback( + litellm_router=router, + fallback_model_group=["azure-group"], + original_model_group="openai-group", + original_exception=RuntimeError("openai connection error"), + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + ) + + assert router.attempted_model_groups == ["azure-group"] + + +@pytest.mark.asyncio +async def test_run_async_fallback_handles_explicitly_none_metadata(): + """/v1/batches always sets `metadata`, and sets it to None when the caller sent + none, so setdefault() on it hands back None instead of a dict.""" + router = AttemptRecordingRouter() + + await run_async_fallback( + litellm_router=router, + fallback_model_group=["azure-group"], + original_model_group="openai-group", + original_exception=RuntimeError("openai connection error"), + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + metadata=None, + ) + + assert router.received_kwargs["metadata"] == {"model_group": "azure-group"} + + +@pytest.mark.asyncio +async def test_run_async_fallback_records_batch_model_group_outside_provider_metadata(): + """`metadata` on a batch request is forwarded to the provider and stored on the + batch, so the router's own model_group belongs in litellm_metadata.""" + router = AttemptRecordingRouter() + + await run_async_fallback( + litellm_router=router, + fallback_model_group=[{"model": "openai-group", "_target_order": 2}], + original_model_group="openai-group", + original_exception=RuntimeError("first deployment failed"), + max_fallbacks=3, + fallback_depth=0, + model="openai-group", + input_file_id="file-owned-by-openai", + metadata={"caller": "nightly-job"}, + litellm_metadata={"model_group": "openai-group"}, + original_function=_acreate_batch, + ) + + assert router.received_kwargs["metadata"] == {"caller": "nightly-job"} + assert router.received_kwargs["litellm_metadata"]["model_group"] == "openai-group" + + def test_get_fallback_model_group_does_not_mutate_fallbacks(): """A string fallback must be resolved without mutating the caller's fallbacks list, which is the live router config shared across requests.""" diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py index 4a3395a7d3f..b76e69bc978 100644 --- a/tests/test_litellm/test_router.py +++ b/tests/test_litellm/test_router.py @@ -6755,6 +6755,68 @@ async def test_acreate_batch_disable_fallbacks_surfaces_owning_provider_error(): assert mock_create.call_args.kwargs["model"] == "owning-model" +@pytest.mark.asyncio +async def test_acreate_batch_surfaces_owning_provider_error_without_disable_fallbacks(): + """The router itself has to keep a batch inside the group that owns the input file: + the proxy only sets disable_fallbacks on the managed-files route, so the caller + otherwise gets the fallback provider's error for a file it never received.""" + from litellm.types.utils import LiteLLMBatch + + router = litellm.Router( + model_list=[ + { + "model_name": "owning-model", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-owning", + }, + }, + { + "model_name": "fallback-model", + "litellm_params": { + "model": "azure/gpt-4o-mini", + "api_key": "sk-fallback", + "api_base": "https://fallback.openai.azure.com", + "api_version": "2024-08-01-preview", + }, + }, + ], + fallbacks=[{"owning-model": ["fallback-model"]}], + num_retries=0, + ) + attempted_models = [] + + async def _acreate_batch(model, **kwargs): + attempted_models.append(model) + if model == "owning-model": + raise litellm.APIConnectionError( + message="Connection error - openai is unreachable", + model="openai/gpt-4o-mini", + llm_provider="openai", + ) + return LiteLLMBatch( + id="batch-created-on-the-wrong-provider", + completion_window="24h", + created_at=0, + endpoint="/v1/chat/completions", + input_file_id="file-owned-by-openai", + object="batch", + status="validating", + ) + + with patch.object(router, "_acreate_batch", _acreate_batch): + with pytest.raises(litellm.APIConnectionError, match="openai is unreachable"): + await router.acreate_batch( + model="owning-model", + input_file_id="file-owned-by-openai", + endpoint="/v1/chat/completions", + completion_window="24h", + metadata={"team": "batch-jobs"}, + ) + + assert attempted_models == ["owning-model"] + + @pytest.mark.asyncio async def test_acreate_batch_request_bedrock_tags_override_deployment_tags(): import httpx From d7bc63da5c5eb44daeaaa2a876f757257bb5d68a Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 05:25:48 -0700 Subject: [PATCH 019/120] style(router): drop the inline comment on the fallback metadata merge --- litellm/router_utils/fallback_event_handlers.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/router_utils/fallback_event_handlers.py b/litellm/router_utils/fallback_event_handlers.py index c4a84a1d61e..00df20be845 100644 --- a/litellm/router_utils/fallback_event_handlers.py +++ b/litellm/router_utils/fallback_event_handlers.py @@ -169,7 +169,7 @@ async def run_async_fallback( kwargs[metadata_variable_name] = { **(kwargs.get(metadata_variable_name) or {}), "model_group": kwargs.get("model", None), - } # update model_group used, if fallbacks are done + } fallback_depth = fallback_depth + 1 kwargs["fallback_depth"] = fallback_depth kwargs["max_fallbacks"] = max_fallbacks From 16d650ca94e00a21ce0aad1fe292d174c2fbc493 Mon Sep 17 00:00:00 2001 From: mateo Date: Fri, 7 Aug 2026 21:05:59 +0000 Subject: [PATCH 020/120] test(proxy): compare empty agent list to the tuple get_agent_list returns Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- tests/test_litellm/proxy/proxy_server/test_proxy_config.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py index 30156849628..91a7e1bc2c2 100644 --- a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py +++ b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py @@ -2638,4 +2638,4 @@ async def test_ProxyConfig__init_non_llm_configs_empty_agents_key_clears_remembe assert clean_agent_registry.config_agents == () clean_agent_registry.load_agents_from_db_and_config(db_agents=None) - assert clean_agent_registry.get_agent_list() == [] + assert clean_agent_registry.get_agent_list() == () From 96a8b7f488d48d338fa2ba1007fda6a45d380499 Mon Sep 17 00:00:00 2001 From: mateo Date: Sat, 8 Aug 2026 02:09:53 +0000 Subject: [PATCH 021/120] chore(ui): regenerate dashboard api types for tier_turns Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- ui/litellm-dashboard/src/lib/http/schema.d.ts | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index f1660e77ad9..8e950874a10 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -21391,6 +21391,13 @@ export interface components { * @description What the routed traffic actually cost */ spend: number; + /** + * Tier Turns + * @description Turns per tier, keyed by the tier name the routing decision recorded at request time (never re-derived at read time, since the tier-to-model mapping is mutable config). Tier names are scoped to this group's router_type and are not comparable across types: a complexity router reports 'simple'/'medium'/'complex'/'reasoning', a quality router reports its numeric quality tier, and an adaptive router records no tier at all. Turns no tier served (the classifier fell back to default_model) are absent rather than pooled under a sentinel key, so the values may sum to less than turns + */ + tier_turns?: { + [key: string]: number; + }; /** Turns */ turns: number; }; From a2bb97fa7c80a04be85f4b26f7ffb70a988c1a84 Mon Sep 17 00:00:00 2001 From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sat, 8 Aug 2026 02:13:27 +0000 Subject: [PATCH 022/120] fix(websearch_interception): satisfy type discipline gate for search metadata forwarding Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../websearch_interception/handler.py | 40 ++++++++++++------- 1 file changed, 25 insertions(+), 15 deletions(-) diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 6be64c89828..3e24c64ad82 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -1288,14 +1288,11 @@ class WebSearchInterceptionLogger(CustomLogger): search_tool: Final = self._select_search_tool_from_router(llm_router=llm_router) search_provider: str | None = None search_litellm_params: dict[str, Any] = {} - search_tool_name: str | None = None + search_tool_name: Final = self._selected_search_tool_name(search_tool=search_tool) if search_tool is not None: await self._authorize_search_tool(search_tool=search_tool, kwargs=kwargs) search_litellm_params = dict(search_tool.get("litellm_params", {}) or {}) search_provider = search_litellm_params.get("search_provider") - selected_tool_name = search_tool.get("search_tool_name") - if isinstance(selected_tool_name, str) and selected_tool_name: - search_tool_name = selected_tool_name # Fallback to perplexity if no router or no search tools configured if not search_provider: @@ -1318,14 +1315,20 @@ class WebSearchInterceptionLogger(CustomLogger): ) ) search_kwargs: Final = { - **{ - key: value - for key, value in search_litellm_params.items() - if key != "search_provider" and value is not None - }, - **({} if search_metadata is None else {"litellm_metadata": search_metadata}), + key: value + for key, value in search_litellm_params.items() + if key != "search_provider" and value is not None } - result: Final = await litellm.asearch(query=query, search_provider=search_provider, **search_kwargs) + result: Final = ( + await litellm.asearch(query=query, search_provider=search_provider, **search_kwargs) + if search_metadata is None + else await litellm.asearch( + query=query, + search_provider=search_provider, + litellm_metadata=search_metadata, + **search_kwargs, + ) + ) # Format using transformation function search_result_text: Final = WebSearchTransformation.format_search_response(result) @@ -1386,7 +1389,7 @@ class WebSearchInterceptionLogger(CustomLogger): def _build_search_request_metadata( user_api_key_auth: "UserAPIKeyAuth", search_tool_name: str | None, - ) -> dict[str, object]: + ) -> Mapping[str, object]: """ Spend-tracking metadata for the intercepted search, so its provider cost is logged and billed against the key/user/team that made the originating LLM request instead @@ -1394,16 +1397,23 @@ class WebSearchInterceptionLogger(CustomLogger): """ from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup - user_api_key_metadata: StandardLoggingUserAPIKeyMetadata = ( + user_api_key_metadata: Final[StandardLoggingUserAPIKeyMetadata] = ( LiteLLMProxyRequestSetup.get_sanitized_user_information_from_key(user_api_key_dict=user_api_key_auth) ) - return { + return { # mutable-ok: litellm's metadata channel is a plain dict its logging path reads and enriches **user_api_key_metadata, - **({} if search_tool_name is None else {"model_group": search_tool_name}), + "model_group": search_tool_name, "user_api_key": user_api_key_auth.api_key, "user_api_key_auth": user_api_key_auth, } + @staticmethod + def _selected_search_tool_name(search_tool: Mapping[str, object] | None) -> str | None: + if search_tool is None: + return None + search_tool_name: Final = search_tool.get("search_tool_name") + return search_tool_name if isinstance(search_tool_name, str) and search_tool_name else None + @staticmethod def _get_user_api_key_auth_from_kwargs(kwargs: Mapping[str, object] | None) -> "UserAPIKeyAuth | None": if not kwargs: From 0791dd941b3d5261a037834c3c139034d4fdc83a Mon Sep 17 00:00:00 2001 From: mateo Date: Sat, 8 Aug 2026 02:19:57 +0000 Subject: [PATCH 023/120] test(proxy): assert the copy _add_team_member_budget_table returns Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .../proxy/management_endpoints/test_team_endpoints.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py index a1cbc77b7a5..1e47010b57c 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py @@ -932,8 +932,11 @@ async def test_add_team_member_budget_table_success(): ) # Verify the result - assert result == team_info_response assert result.team_member_budget_table == mock_budget_record + assert result == team_info_response.model_copy( + update={"team_member_budget_table": mock_budget_record} + ) + assert team_info_response.team_member_budget_table is None # Verify database call was made correctly mock_prisma_client.db.litellm_budgettable.find_unique.assert_called_once_with( From 0a606cb258f731ddbddf71655a1af6b6b48e6213 Mon Sep 17 00:00:00 2001 From: yucheng-berri Date: Fri, 7 Aug 2026 19:22:35 -0700 Subject: [PATCH 024/120] fix(otel): name the RPC system and upstream on MCP tool-call spans (#35857) * fix(otel): name the RPC system and upstream on MCP tool-call spans An MCP tool-call span carried only gen_ai.*, mcp.* and litellm.* attributes. A CLIENT span holding none of the http/db/messaging/rpc families is unclassifiable, so Elastic APM indexed these spans as span.type=unknown with no span.subtype at all, and its span-links API then rejected the whole trace with "Missing required fields (span.subtype)". MCP frames every message as JSON-RPC 2.0, so the tool-call span now names rpc.system. It names server.address and server.port alongside it, derived from the already-redacted mcp_server_resource origin: naming the RPC system makes a consumer treat the span as a downstream dependency and key that dependency off the server address, so emitting one without the other labels the dependency ":0". The tools/list span is left alone. It reaches the callbacks with no upstream identity, and a listing can span several upstreams, so it has no address to attach and would produce exactly that ":0" node. The wire is untouched: streamable MCP still returns HTTP 200 with isError: true. * fix(otel): drop rpc.system when no MCP upstream address resolved server.address and server.port come from mcp_server_resource, which is absent whenever the tool name resolves to no registered server, is None for a stdio transport that has no host to log, and parses to no host for an IPv6 origin the redactor rebuilds without its brackets. rpc.system was stamped unconditionally, so each of those paths emitted it alone and named the dependency ":0", the outcome the address pair exists to prevent. Gating the system attribute on a resolved address makes the pairing structural rather than leaving it to the two extractors happening to agree. * fix(otel): require a full MCP destination before naming the RPC system The gate gave rpc.system a resolved address, but not a resolved port. A host-bearing scheme outside the HTTP(S) default-port map resolves an address alone, and mcp_servers[].url is not scheme-validated, so an origin like mcp://host or ws://host reaches the mapper and names the dependency host:0 instead of the :0 the previous commit removed. Gating on the complete pair closes it, and covers a port of 0 as well. _upstream_address_port also gets a direct contract test, including the IPv6 origin the redactor rebuilds without brackets. * fix(otel): do not raise when an MCP origin has an unparseable port _redact_mcp_resource_url rebuilds the origin without its IPv6 brackets, so a zone-scoped address leaves a truthy hostname behind that the host check admits: http://[fe80::1%25eth0]:80 becomes http://fe80::1%25eth0:80, whose hostname is fe80 and whose port raises ValueError. That propagated out of MCPToolCallSpanData.from_standard_logging_payload and cost the span. Reading both halves inside a guard degrades an unparseable origin to no address, which is already how the mapper treats an unresolvable upstream, and matches the guard the redactor puts around the same split. The scheme default port drops the dict literal so the LIT002 ceiling stays put. --- litellm/integrations/otel/__init__.py | 2 + litellm/integrations/otel/mappers/genai.py | 5 ++ litellm/integrations/otel/model/payloads.py | 33 ++++++++ litellm/integrations/otel/model/semconv.py | 14 ++++ .../integrations/otel/test_otel_v2_logger.py | 79 +++++++++++++++++++ .../otel/test_otel_v2_sources_of_truth.py | 38 ++++++++- 6 files changed, 170 insertions(+), 1 deletion(-) diff --git a/litellm/integrations/otel/__init__.py b/litellm/integrations/otel/__init__.py index 94442e96adb..9c1205bb277 100644 --- a/litellm/integrations/otel/__init__.py +++ b/litellm/integrations/otel/__init__.py @@ -57,6 +57,7 @@ from litellm.integrations.otel.model.semconv import ( Metric, Network, NetworkTransport, + RpcSystem, Server, resolve_operation, resolve_provider, @@ -102,6 +103,7 @@ __all__ = [ "ProxyRequestSpanData", "RequestContext", "RequestIdentity", + "RpcSystem", "Server", "ServerInfo", "ServiceSpanData", diff --git a/litellm/integrations/otel/mappers/genai.py b/litellm/integrations/otel/mappers/genai.py index af56734bec1..032441535e0 100644 --- a/litellm/integrations/otel/mappers/genai.py +++ b/litellm/integrations/otel/mappers/genai.py @@ -31,7 +31,9 @@ from litellm.integrations.otel.model.semconv import ( MCP, Error, GenAI, + JsonRpc, LiteLLM, + RpcSystem, Server, ) from litellm.integrations.otel.model.spans import db_system @@ -94,11 +96,14 @@ class GenAIMapper: _MCP_ATTRS: dict[str, Callable[[MCPToolCallSpanData], AttrValue | None]] = { GenAI.OPERATION_NAME: lambda d: d.operation.value, + JsonRpc.SYSTEM: lambda d: RpcSystem.JSONRPC.value if d.server_address and d.server_port else None, MCP.METHOD_NAME: lambda d: d.method, MCP.SESSION_ID: lambda d: d.session_id, GenAI.TOOL_NAME: lambda d: d.tool_name or None, GenAI.TOOL_CALL_ARGUMENTS: lambda d: d.arguments_json, GenAI.TOOL_CALL_RESULT: lambda d: d.result_json, + Server.ADDRESS: lambda d: d.server_address, + Server.PORT: lambda d: d.server_port, LiteLLM.MCP_SERVER_NAME: lambda d: d.server_name, LiteLLM.CALL_ID: lambda d: d.identity.call_id or None, f"{LiteLLM.COST_PREFIX}total": lambda d: d.response_cost, diff --git a/litellm/integrations/otel/model/payloads.py b/litellm/integrations/otel/model/payloads.py index 02499010624..aba9cc80240 100644 --- a/litellm/integrations/otel/model/payloads.py +++ b/litellm/integrations/otel/model/payloads.py @@ -364,6 +364,34 @@ class LLMCallSpanData: # --- the MCP tool-call model ------------------------------------------------- # +def _upstream_address_port(resource: str | None) -> tuple[str | None, int | None]: + """Split a redacted MCP server origin into ``server.address`` / ``server.port``. + + ``mcp_server_resource`` is a scheme + host + port origin with userinfo, path, + query and fragment already stripped. The port falls back to the scheme default + when the origin omits it, because a consumer that keys a downstream dependency + off the address renders a missing port as ``0``. + + The origin is rebuilt without its IPv6 brackets upstream, so reading the port can + raise on an address the host check still admits: a zone-scoped ``fe80::1%25eth0`` + leaves a truthy hostname of ``fe80`` behind. Both halves are read inside the guard + so an unparseable origin yields no address rather than propagating out of span + construction, matching how the redactor guards the same split. + """ + if not resource: + return None, None + try: + parsed: Final = urlsplit(resource) + hostname: Final = parsed.hostname + port: Final = parsed.port + except ValueError: + return None, None + if not hostname: + return None, None + default_port: Final = 443 if parsed.scheme == "https" else 80 if parsed.scheme == "http" else None + return hostname, port or default_port + + @dataclass(frozen=True) class MCPToolCallSpanData: """One MCP ``tools/call`` execution, parsed from a closed request's payload. @@ -378,6 +406,8 @@ class MCPToolCallSpanData: method: str tool_name: str server_name: str | None + server_address: str | None + server_port: int | None session_id: str | None arguments_json: str | None result_json: str | None @@ -390,11 +420,14 @@ class MCPToolCallSpanData: cls, payload: StandardLoggingPayload, capture_content: bool = False ) -> MCPToolCallSpanData: meta: Final = _mcp_tool_call_metadata(cast(Mapping[str, object], payload)) + address, port = _upstream_address_port(as_str(meta.get("mcp_server_resource")) or None) return cls( operation=resolve_operation(as_str(payload.get("call_type"))), method=MCPMethod.TOOLS_CALL.value, tool_name=as_str(meta.get("name")) or "", server_name=as_str(meta.get("mcp_server_name")), + server_address=address, + server_port=port, session_id=as_str(meta.get("mcp_session_id")), arguments_json=( _json_or_none(meta.get("arguments")) if capture_content and meta.get("arguments") is not None else None diff --git a/litellm/integrations/otel/model/semconv.py b/litellm/integrations/otel/model/semconv.py index 24f0b947b08..3d585c36b67 100644 --- a/litellm/integrations/otel/model/semconv.py +++ b/litellm/integrations/otel/model/semconv.py @@ -130,11 +130,25 @@ class JsonRpc: """JSON-RPC keys carried on MCP spans. The error/status code lives in the ``rpc.*`` namespace per semconv, not ``jsonrpc.*``.""" + SYSTEM: Final = "rpc.system" REQUEST_ID: Final = "jsonrpc.request.id" PROTOCOL_VERSION: Final = "jsonrpc.protocol.version" RESPONSE_STATUS_CODE: Final = "rpc.response.status_code" +class RpcSystem(str, Enum): + """Well-known values for ``rpc.system``. MCP frames every message as JSON-RPC 2.0. + + Naming the system also classifies the span: a CLIENT span carrying none of the + ``rpc.*``/``http.*``/``db.*``/``messaging.*`` families records no span type or + subtype in backends that derive those from the attribute family. It is emitted + only alongside ``server.address``/``server.port``, since a backend that reads it + as a downstream dependency names that dependency from the server address. + """ + + JSONRPC = "jsonrpc" + + class NetworkTransport(str, Enum): """Well-known values for ``network.transport``.""" diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py index 41c02501acc..2573ad5a375 100644 --- a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py +++ b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py @@ -356,6 +356,7 @@ def _mcp_payload(**overrides): "arguments": {"city": "Paris"}, "result": {"temp_c": 21}, "mcp_server_name": "weather-mcp", + "mcp_server_resource": "https://weather.example.com", "mcp_session_id": "sess-abc123", }, }, @@ -452,6 +453,8 @@ def test_mcp_tool_call_failure_marks_error(): assert span.name == "tools/call get_weather" assert span.status.status_code is StatusCode.ERROR assert span.attributes["error.type"] == "MCPError" + assert span.attributes["rpc.system"] == "jsonrpc" + assert span.attributes["server.address"] == "weather.example.com" def test_mcp_tool_call_deduped_on_repeat(): @@ -531,6 +534,82 @@ _MCP_SPAN_CASES = [ ] +def test_mcp_tool_call_names_its_rpc_system_and_upstream(): + """A tool-call span names the RPC system, and always alongside the upstream it called. + + A CLIENT span holding none of the ``rpc.*``/``http.*``/``db.*``/``messaging.*`` + families is unclassifiable, so a backend deriving a span type from them has nothing + to derive from: Elastic APM indexed these spans as ``span.type=unknown`` with no + ``span.subtype`` at all, and its span-links API then rejected the whole trace with + ``Missing required fields (span.subtype)``. + + The two assertions are one invariant, not two. Naming the RPC system makes a + consumer treat the span as a downstream dependency and key that dependency off + ``server.address``/``server.port``; emitting the first without the second names the + dependency ``:0``, which is worse than leaving the span unclassified. + """ + logger, exporter = _logger() + asyncio.run( + logger.async_log_success_event( + {"standard_logging_object": _mcp_payload()}, None, None, None + ) + ) + (span,) = exporter.get_finished_spans() + assert span.attributes["rpc.system"] == "jsonrpc" + assert span.attributes["server.address"] == "weather.example.com" + assert span.attributes["server.port"] == 443 + + +@pytest.mark.parametrize( + "resource", + [None, "mcp://weather.example.com", "ws://weather.example.com"], + ids=["no-resource", "scheme-with-no-default-port", "ws-scheme"], +) +def test_mcp_tool_call_omits_rpc_system_without_a_complete_upstream(resource): + """A tool call drops the RPC system unless the full destination resolved. + + ``mcp_server_resource`` is absent whenever the tool name resolves to no registered + server, and it is ``None`` for a transport with no host to log at all (stdio). A + host-bearing scheme outside the HTTP(S) default-port map resolves an address but no + port, and the ``url`` field is not scheme-validated, so that state is reachable from + config. Each case names the dependency ``:0`` or ``host:0`` if ``rpc.system`` ships + on its own, so the pairing is enforced here rather than left to the extractors + happening to agree. + """ + logger, exporter = _logger() + payload = _mcp_payload() + if resource is None: + del payload["metadata"]["mcp_tool_call_metadata"]["mcp_server_resource"] + else: + payload["metadata"]["mcp_tool_call_metadata"]["mcp_server_resource"] = resource + asyncio.run( + logger.async_log_success_event({"standard_logging_object": payload}, None, None, None) + ) + (span,) = exporter.get_finished_spans() + assert "rpc.system" not in span.attributes + assert "server.port" not in span.attributes + assert span.attributes["mcp.method.name"] == "tools/call" + + +def test_mcp_list_tools_omits_rpc_system_without_an_upstream(): + """The discovery span carries no upstream identity, so it must not claim to be RPC. + + ``tools/list`` reaches the callbacks with no ``mcp_tool_call_metadata``, so there is + no ``server.address`` to attach and a listing can span several upstreams anyway. + Naming ``rpc.system`` here would buy a ``span.subtype`` at the cost of a bogus ``:0`` + dependency node in every consumer that aggregates on it. + """ + logger, exporter = _logger() + asyncio.run( + logger.async_log_success_event( + {"standard_logging_object": _mcp_list_payload()}, None, None, None + ) + ) + (span,) = exporter.get_finished_spans() + assert "rpc.system" not in span.attributes + assert "server.address" not in span.attributes + + @pytest.mark.parametrize("make_payload, span_name", _MCP_SPAN_CASES) def test_mcp_span_nests_under_transport_without_propagated_context( make_payload, span_name diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_sources_of_truth.py b/tests/test_litellm/integrations/otel/test_otel_v2_sources_of_truth.py index 612ac1e5113..19d0cfc0b18 100644 --- a/tests/test_litellm/integrations/otel/test_otel_v2_sources_of_truth.py +++ b/tests/test_litellm/integrations/otel/test_otel_v2_sources_of_truth.py @@ -24,7 +24,11 @@ from litellm.integrations.otel import ( resolve_provider, ) from litellm.integrations.otel.model import spans as spans_mod -from litellm.integrations.otel.model.payloads import LLMCallSpanData, RequestIdentity +from litellm.integrations.otel.model.payloads import ( + LLMCallSpanData, + RequestIdentity, + _upstream_address_port, +) from litellm.integrations.otel.model.spans import ( SPAN_REGISTRY, LiteLLMSpanKind, @@ -177,6 +181,7 @@ def test_mcp_attribute_vocabulary_is_complete(): "mcp.resource.uri", "jsonrpc.request.id", "jsonrpc.protocol.version", + "rpc.system", "rpc.response.status_code", "gen_ai.operation.name", "gen_ai.tool.name", @@ -808,3 +813,34 @@ def test_promoted_baggage_is_bounded_allowlist(): # http.* is never a promoted key assert HTTP.ROUTE not in promoted assert HTTP.REQUEST_METHOD not in promoted + + +@pytest.mark.parametrize( + "resource, expected", + [ + ("https://weather.example.com", ("weather.example.com", 443)), + ("http://weather.example.com", ("weather.example.com", 80)), + ("https://weather.example.com:8443", ("weather.example.com", 8443)), + ("mcp://weather.example.com", ("weather.example.com", None)), + ("http://::1:8080", (None, None)), + ("http://fe80::1%25eth0:80", (None, None)), + (None, (None, None)), + ("", (None, None)), + ], + ids=[ + "https-default", + "http-default", + "explicit-port", + "no-default-port", + "ipv6-unbracketed", + "ipv6-zone-scoped", + "none", + "empty", + ], +) +def test_upstream_address_port(resource, expected): + """The redacted MCP origin resolves to the address and port a consumer names its + dependency from. A scheme outside the default-port map yields no port, and an IPv6 + origin yields nothing at all because the redactor rebuilds it without its brackets; + both are why the mapper gates ``rpc.system`` on the complete pair.""" + assert _upstream_address_port(resource) == expected From 09a98f55052f03d78aeea4a6fe6e3916078b8220 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Fri, 7 Aug 2026 19:36:30 -0700 Subject: [PATCH 025/120] test(e2e): settle control-plane writes across every replica, not just one The suite already waits for a new model or agent to become servable before handing it back, but that wait returns on the first successful read. Every request opens a fresh connection (e2e_http calls requests.* with no Session), so a load-balanced Service routes each one independently: one successful read proves one replica converged, and the caller's next request re-rolls and can land on a replica that has not reloaded yet. At replicaCount: 2 this surfaced as 30 failures on a SHA that is green at 1 replica -- 400 "Invalid model name passed", 404 "Guardrail not found", "no healthy deployments for this model", and a /model/info listing that contained one of two models created moments apart. Add PROPAGATION_TIMEOUT (default 15s, override E2E_PROPAGATION_TIMEOUT) and settle_propagation(), sized off the proxy's proxy_config_reload_interval_seconds (30s by default, 7s on the e2e stack) plus margin, and settle after every control-plane create whose object the suite then uses: - ProxyClient.create_model and A2AClient.register_agent, after their existing polls -- the poll still fails loudly if the object never appears at all - GuardrailsClient.register, which had no barrier; create_content_filter_guardrail and create_bedrock_guardrail now route through it instead of POSTing directly - the guardrail creates in mcp_client and logging_client - the vertex passthrough model, whose body cannot go through create_model Left alone: the /model/new calls that assert a 403 or read back a status code, since they never use the model. --- tests/e2e/a2a/a2a_client.py | 7 +- tests/e2e/e2e_config.py | 26 +++++++ tests/e2e/guardrails/guardrails_client.py | 76 ++++++++----------- .../test_vertex_passthrough_e2e.py | 14 +++- tests/e2e/logging/logging_client.py | 3 +- tests/e2e/mcp/mcp_client.py | 5 +- tests/e2e/proxy_client.py | 22 ++++-- 7 files changed, 98 insertions(+), 55 deletions(-) diff --git a/tests/e2e/a2a/a2a_client.py b/tests/e2e/a2a/a2a_client.py index e83897025a3..605dd8fb7e5 100644 --- a/tests/e2e/a2a/a2a_client.py +++ b/tests/e2e/a2a/a2a_client.py @@ -17,6 +17,7 @@ from dataclasses import dataclass from pydantic import BaseModel, ConfigDict, Field +from e2e_config import settle_propagation from e2e_http import NoBody, Result, Success, get_external, is_ok from proxy_client import ProxyClient @@ -298,7 +299,9 @@ class A2AClient: the next DB reload. A card read or message/send issued the instant this returns can therefore 404 on the agent it just created. Waiting here keeps every caller from having to poll, the same way ProxyClient.create_model - waits for a new model to become servable. + waits for a new model to become servable -- including the settle that + covers the other replicas, since one successful card read only proves the + replica that answered it has the agent. """ result = self.proxy.transport.post( "/v1/agents", @@ -307,7 +310,9 @@ class A2AClient: response_type=AgentResponse, ) if isinstance(result, Success): + written_at = time.monotonic() self._await_agent_servable(result.data.agent_id) + settle_propagation(written_at) return result def _await_agent_servable(self, agent_id: str) -> None: diff --git a/tests/e2e/e2e_config.py b/tests/e2e/e2e_config.py index 34770bc596b..277478eebaf 100644 --- a/tests/e2e/e2e_config.py +++ b/tests/e2e/e2e_config.py @@ -7,6 +7,7 @@ environment so the same tests run against localhost or a deployed proxy. from __future__ import annotations import os +import time import uuid from pathlib import Path @@ -75,6 +76,18 @@ POLL_TIMEOUT = float(os.environ.get("E2E_POLL_TIMEOUT", "120")) POLL_INTERVAL = float(os.environ.get("E2E_POLL_INTERVAL", "5")) REQUEST_TIMEOUT = float(os.environ.get("E2E_REQUEST_TIMEOUT", "60")) +# How long a control-plane write (/model/new, /guardrails, /v1/agents) may take to +# reach EVERY replica. Distinct from POLL_TIMEOUT, which is sized for spend-row +# flush; this one is sized for the proxy's config reload +# (`proxy_config_reload_interval_seconds`, 30s by default and 7s on the e2e stack) +# plus margin. +# +# The barriers below wait this out instead of returning on first sight, because a +# single successful read only proves ONE replica converged: every request opens a +# fresh connection, so a load-balanced Service routes each one independently and +# the next call re-rolls. See ProxyClient._await_model_servable. +PROPAGATION_TIMEOUT = float(os.environ.get("E2E_PROPAGATION_TIMEOUT", "15")) + EXPECT_RUST = os.environ.get("E2E_EXPECT_RUST", "").strip().lower() in ("1", "true", "yes") # Deliberately modest concurrency. The suite shares its proxy with every other @@ -137,3 +150,16 @@ def unique_marker() -> str: """A short unique token per call/run, so concurrent runs and the shared response cache never collide on prompts, tags, or customer ids.""" return uuid.uuid4().hex[:12] + + +def settle_propagation(written_at: float) -> None: + """Block until PROPAGATION_TIMEOUT has elapsed since `written_at`, a + `time.monotonic()` stamp taken the moment a control-plane write returned. + + Callers that already polled for the object still need this: the poll proves one + replica has it, not all of them. Waiting out the config-reload budget is what + makes the object safe to use on whichever replica the next request lands on. + """ + remaining = PROPAGATION_TIMEOUT - (time.monotonic() - written_at) + if remaining > 0: + time.sleep(remaining) diff --git a/tests/e2e/guardrails/guardrails_client.py b/tests/e2e/guardrails/guardrails_client.py index 93861d19922..85964529ada 100644 --- a/tests/e2e/guardrails/guardrails_client.py +++ b/tests/e2e/guardrails/guardrails_client.py @@ -11,7 +11,7 @@ from typing import Literal from pydantic import BaseModel -from e2e_config import POLL_INTERVAL, POLL_TIMEOUT, unique_marker +from e2e_config import POLL_INTERVAL, POLL_TIMEOUT, settle_propagation, unique_marker from e2e_http import NoBody, Result, Success, unwrap from lifecycle import ResourceManager from models import ( @@ -104,25 +104,14 @@ class GuardrailsClient: proxy: ProxyClient def create_content_filter_guardrail(self, name: str, blocked_keyword: str) -> str: - return unwrap( - self.proxy.transport.post( - "/guardrails", - headers=self.proxy.transport.master, - json=GuardrailCreateBody( - guardrail=GuardrailSpecBody( - guardrail_name=name, - litellm_params=ContentFilterParamsBody( - mode="pre_call", - default_on=True, - blocked_words=[ - BlockedWordBody(keyword=blocked_keyword, action="BLOCK") - ], - ), - ) - ), - response_type=GuardrailCreateResponse, - ) - ).guardrail_id + return self.register( + name, + ContentFilterParamsBody( + mode="pre_call", + default_on=True, + blocked_words=[BlockedWordBody(keyword=blocked_keyword, action="BLOCK")], + ), + ) def create_bedrock_guardrail( self, @@ -141,24 +130,15 @@ class GuardrailsClient: test takes out whatever else is running. Callers select the guardrail per-request instead, which keeps the blast radius to the test that wants it. """ - return unwrap( - self.proxy.transport.post( - "/guardrails", - headers=self.proxy.transport.master, - json=GuardrailCreateBody( - guardrail=GuardrailSpecBody( - guardrail_name=name, - litellm_params=BedrockGuardrailParamsBody( - mode="pre_call", - default_on=default_on, - guardrailIdentifier=identifier, - guardrailVersion=version, - ), - ) - ), - response_type=GuardrailCreateResponse, - ) - ).guardrail_id + return self.register( + name, + BedrockGuardrailParamsBody( + mode="pre_call", + default_on=default_on, + guardrailIdentifier=identifier, + guardrailVersion=version, + ), + ) def create_backend_model(self, resources: ResourceManager, prefix: str = "e2e-guard-backend") -> str: """Register a gemini chat deployment for a guardrail test to run against @@ -174,11 +154,19 @@ class GuardrailsClient: return model_name def register(self, name: str, params: GuardrailParamsBody) -> str: - """Register any guardrail via POST /guardrails and return its id. New - built-ins register with default_on=False and are opted into per request - via the chat body's `guardrails` list, so one guardrail under test never - intercepts unrelated traffic on the shared proxy.""" - return unwrap( + """Register any guardrail via POST /guardrails and return its id, once every + replica can be expected to serve it. New built-ins register with + default_on=False and are opted into per request via the chat body's + `guardrails` list, so one guardrail under test never intercepts unrelated + traffic on the shared proxy. + + /guardrails is a control-plane route and guardrails reach the data plane on + the config reload, so a request naming this guardrail the instant the POST + returns can 404 with "Guardrail not found" on a replica that has not + reloaded. There is no data-plane read that lists guardrails, so unlike + ProxyClient.create_model this settles on the propagation budget alone with + nothing to poll first.""" + guardrail_id = unwrap( self.proxy.transport.post( "/guardrails", headers=self.proxy.transport.master, @@ -188,6 +176,8 @@ class GuardrailsClient: response_type=GuardrailCreateResponse, ) ).guardrail_id + settle_propagation(time.monotonic()) + return guardrail_id def delete_guardrail(self, guardrail_id: str) -> None: _ = self.proxy.transport.delete( diff --git a/tests/e2e/llm_translation/test_vertex_passthrough_e2e.py b/tests/e2e/llm_translation/test_vertex_passthrough_e2e.py index b6d90b7f6a2..5e9c9f614e5 100644 --- a/tests/e2e/llm_translation/test_vertex_passthrough_e2e.py +++ b/tests/e2e/llm_translation/test_vertex_passthrough_e2e.py @@ -23,11 +23,12 @@ model, spend > 0), correlated by the x-litellm-call-id header. """ import os +import time import pytest from pydantic import BaseModel -from e2e_config import unique_marker +from e2e_config import settle_propagation, unique_marker from e2e_http import NoBody, require_successful_call, unwrap from lifecycle import ResourceManager from models import SpendLogRow @@ -90,7 +91,14 @@ class _ModelDeleteBody(BaseModel): def _add_vertex_passthrough_model( client: PassthroughClient, model_name: str, project: str, credentials: str ) -> str: - return unwrap( + """Register the passthrough deployment and settle before the caller uses it. + + This body carries `use_in_pass_through` and a pinned `model_info.id`, so it + cannot go through ProxyClient.create_model -- but it needs that helper's + propagation settle just the same, or the passthrough call can land on a replica + that has not reloaded yet. + """ + model_id = unwrap( client.proxy.transport.post( "/model/new", headers=client.proxy.transport.master, @@ -108,6 +116,8 @@ def _add_vertex_passthrough_model( response_type=_ModelNewResponse, ) ).model_id + settle_propagation(time.monotonic()) + return model_id def _delete_model(client: PassthroughClient, model_id: str) -> None: diff --git a/tests/e2e/logging/logging_client.py b/tests/e2e/logging/logging_client.py index 7053bd1dfd2..d76f7b356b2 100644 --- a/tests/e2e/logging/logging_client.py +++ b/tests/e2e/logging/logging_client.py @@ -23,7 +23,7 @@ from typing import Callable, Literal import pytest from pydantic import BaseModel, ConfigDict, Field, JsonValue, TypeAdapter, ValidationError -from e2e_config import POLL_INTERVAL, POLL_TIMEOUT +from e2e_config import POLL_INTERVAL, POLL_TIMEOUT, settle_propagation from proxy_client import ProxyClient from e2e_http import ( URL, @@ -409,6 +409,7 @@ class LoggingClient: ) guardrail_id = response.guardrail_id assert guardrail_id, f"create guardrail returned no id: {response!r}" + settle_propagation(time.monotonic()) return guardrail_id def delete_guardrail(self, guardrail_id: str) -> None: diff --git a/tests/e2e/mcp/mcp_client.py b/tests/e2e/mcp/mcp_client.py index 33ec557c339..73453478e5a 100644 --- a/tests/e2e/mcp/mcp_client.py +++ b/tests/e2e/mcp/mcp_client.py @@ -18,6 +18,7 @@ from dataclasses import dataclass from pydantic import BaseModel, ConfigDict, Field, RootModel +from e2e_config import settle_propagation from e2e_http import Headers, NoBody, Result, Success, UnknownApiError, unwrap from models import KeyGenerateBody, ObjectPermission from proxy_client import ProxyClient @@ -330,7 +331,7 @@ class McpClient: tool-call hook (pre_mcp_call) and blocks a single keyword. The keyword is unique per test, so default_on only ever intercepts this test's own banned tool call on the shared proxy.""" - return unwrap( + guardrail_id = unwrap( self.proxy.transport.post( "/guardrails", headers=self.proxy.transport.master, @@ -345,6 +346,8 @@ class McpClient: response_type=GuardrailCreateResponse, ) ).guardrail_id + settle_propagation(time.monotonic()) + return guardrail_id def delete_guardrail(self, guardrail_id: str) -> None: _ = self.proxy.transport.delete( diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index 6c6b948e29c..2627bdb8038 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -70,6 +70,7 @@ from e2e_config import ( POLL_TIMEOUT, PROXY_BASE_URL, REQUEST_TIMEOUT, + settle_propagation, ) from transport import HttpTransport, SplitTransport, Transport @@ -161,13 +162,18 @@ class ProxyClient: """Register a deployment under `model_name` and return its proxy-assigned model_id, once the model is actually servable on the data plane. - /model/new is a control-plane route; in a split control/data-plane - deployment the gateway (data plane, which serves /chat, /ocr, ...) only - picks the new model up on its next DB reload, so a call issued the instant - this returns can race the reload and 400 with "Invalid model name passed". - We therefore poll the data-plane /v1/models until the model appears before - handing back, so callers can invoke it immediately. In the monolithic case - it is already present on the first poll, so this adds one request.""" + /model/new is a control-plane route; the data plane (which serves /chat, + /ocr, ...) only picks the new model up on its next DB reload, so a call + issued the instant this returns can race the reload and 400 with "Invalid + model name passed". We poll the data-plane /v1/models until the model + appears, then settle for the remainder of the propagation budget. + + Both steps are needed, and the second is the one that matters at >1 replica. + The poll proves *a* replica is serving the model; it cannot prove they all + are, because every request opens a fresh connection and a load-balanced + Service routes each one independently -- so the caller's next request + re-rolls and can land on a replica that has not reloaded yet. Waiting out + PROPAGATION_TIMEOUT is what makes the model safe to use anywhere.""" model_id = unwrap( self.transport.post( "/model/new", @@ -180,7 +186,9 @@ class ProxyClient: response_type=ModelNewResponse, ) ).model_id + written_at = time.monotonic() self._await_model_servable(model_name) + settle_propagation(written_at) return model_id def _await_model_servable(self, model_name: str) -> None: From d4dc2c39e7ab3f560cd67d0e974629fc2fab79a6 Mon Sep 17 00:00:00 2001 From: yucheng-berri Date: Fri, 7 Aug 2026 19:44:24 -0700 Subject: [PATCH 026/120] fix(guardrails): chunk oversized Bedrock ApplyGuardrail requests instead of failing (#36119) * feat(guardrails): chunk oversized Bedrock ApplyGuardrail requests instead of failing AWS's ApplyGuardrail API rejects requests whose content exceeds the account's per-request "maximum input size in text units" quota with a 400 ValidationException. That cap is account/region/policy-dependent and cannot be predicted from config, so it can only be reacted to. _make_apply_guardrail_request now tries the whole-content call first (no behavior change for requests that already fit). On a too-large ValidationException it bisects the flat content list and retries each half sequentially, recursing until every piece fits or cannot be split further, then merges the per-chunk responses (action, assessments, outputs, usage) into one so callers cannot tell chunking happened. A real guardrail block on any (sub-)chunk still raises immediately. Contextual-grounding requests are never chunked: grounding scores the response holistically against the whole reference source, so fragmenting it would produce misleading scores. Each chunk call also gets a small exponential backoff retry on AWS ThrottlingException (429), since chunking increases the number of per-second API calls and can trade a 400 for a 429. All new state is local to a single request's call stack (no shared cache, no cross-process coordination), so this is safe for single-pod, multi-pod, and cache-less LiteLLM proxy deployments alike. * fix(guardrails): address Bedrock ApplyGuardrail chunking review feedback Fixes three issues flagged in review of the chunking fallback: a single oversized content item couldn't be split (only list-length bisection was supported), a chunked request that got recovered still logged a stray failure telemetry entry alongside the real outcome, and flattening chunk outputs without positional bookkeeping could misalign masked text onto the wrong original message once a chunk had nothing to mask. * test(guardrails): add regression test for multi-level Bedrock guardrail chunking Confirms the too-large bisection recursion isn't capped at a single split: a payload that is still oversized after the first halving keeps splitting until every piece fits, converging on however many chunks it takes rather than only ever producing two. * fix(guardrails): hybrid bin-pack+bisection chunking, whitespace-safe splits Rework Bedrock ApplyGuardrail chunking from pure reactive bisection to a hybrid strategy: bin-pack content into fixed-budget batches up front as the fast path, falling back to the existing recursive bisection only for a batch AWS still rejects as too large. Avoids paying O(log n) round trips on every oversized request when a single pass would do. Also switch single-item text splitting from a raw character midpoint to the nearest whitespace boundary, so a fragment never starts or ends mid-word. Closes the accidental-severing case from review; the residual gap (a multi-word denied phrase deliberately straddling the boundary) is documented as an accepted limitation, since fixing it would require an overlap window reconciled against masked output with no documented length-preservation guarantee from AWS. * chore(ui): regenerate dashboard API types * fix(guardrails): don't retry an oversized Bedrock guardrail call as a throttle AWS reports an ApplyGuardrail request that exceeds the per-request text-unit cap as a ThrottlingException (429), not only as the documented ValidationException (400). Verified against a live guardrail with an active content-filter policy: a 3273-text-unit request comes back as "Input text size (3273 text units) exceeds the maximum allowed (1000 text units) for the content filter policy (Classic tier)". The throttle retry keyed off status 429 alone, so every oversized chunk burned the full backoff-retry budget - each attempt a billed AWS call preceded by a sleep - before the bisection fallback got a chance, at every level of the recursion. A size error is not transient; re-posting the same content can never succeed. It now short-circuits straight to bisection. Also rename _is_input_too_large_validation_error to _is_input_too_large_error (it never keyed off the status code, and the error is not always a ValidationException), correct the docstrings that asserted a 400, and log at warning level when a split happens so the recovery is visible without --detailed_debug. * Revert "chore(ui): regenerate dashboard API types" This reverts commit ebf8ba2fd57f13bccf7aa6c5dfcac41c74db1ed9. * fix(guardrails): group all fragments of one item and stop double-logging Two defects found in review, both invisible to the existing tests. Fragment grouping assumed a split content item always produces exactly two adjacent fragments. That holds for one bisection level but not two: an item split twice yields four fragments, which were regrouped in fixed pairs into two output entries for a single message. Since masking walks the merged outputs by a running index across the original, unchunked message list, that message was written back truncated to its first half and every later message shifted. Fragments now carry the size of the group they belong to, so any number of them collapse back into exactly one output entry. Telemetry was also double-counted. AsyncHTTPHandler.post calls raise_for_status(), so every non-200 from Bedrock reaches _sign_and_post's error path, which logged guardrail_failed_to_respond before re-raising as an HTTPException that the consolidating caller then logged again. A request recovered by chunking reported one failure per rejected attempt plus a success. The ApplyGuardrail path now opts out of that per-attempt logging, since it owns consolidated per-request logging; the connection-level branch still logs, as nothing else records it. The existing tests missed both because their mocks return a non-200 response object, while the real client raises. Added a helper that raises a genuine httpx.HTTPStatusError so these paths are covered the way production hits them, plus a case asserting an unrecoverable failure still logs exactly once rather than zero times. * refactor(guardrails): move Bedrock chunking rationale into docstrings The chunking work explained itself with inline comment blocks, which this repo's conventions do not want. Folded that reasoning into the docstrings of the functions it describes and dropped the comments, including the module-level constant blocks and the test-file banner. No behavior change. The banner also claimed AWS rejects an oversized request with a 400 ValidationException, which live testing disproved, so removing it drops a stale claim as well as an internal ticket reference from a public repo. * feat(guardrails): match AWS default chunk budget and make it configurable ApplyGuardrail's default quota is 25 text units, roughly 25,000 characters, per second. Chunking has to respect that throughput limit rather than just the per-request size, otherwise splitting an oversized request trades a size error for a throttle. The budget now defaults to 25,000 to match that default for every user, up from an arbitrary 20,000. Accounts with raised quotas can spend fewer calls by setting chunk_budget_chars on the guardrail. A value AWS still rejects as too large is bisected automatically, so an over-large setting costs an extra round trip rather than failing the request. * fix(guardrails): never split a Bedrock text into an empty fragment _nearest_whitespace_split_index could return len(text) when the only space at or after the midpoint was the final character, so the first fragment came back identical to the text AWS had just rejected as too large and the second came back empty. AWS rejects the unchanged fragment again, and each retry re-splits it into the same fragment, so an oversized single item shaped like a long unbroken token with one trailing space exhausted the stack with a RecursionError instead of scanning or surfacing Bedrock's error. Candidate boundaries that would leave either side empty are now discarded, and the raw midpoint is used when none remain. The midpoint is always safe because _split_bedrock_content only calls this for text of at least two characters. * style(guardrails): move chunking rationale out of comments and into docstrings * fix(guardrails): raise 500 when Bedrock reports a failure inside a 200 body Also types the credentials parameter on the new chunking helpers and rebuilds fragment grouping without mutating a list or rebinding an index * fix(guardrails): raise 500 when Bedrock reports a failure inside a 200 body Restores the source changes intended for a08e4cf309, which landed with only the test. Also types the credentials parameter on the new chunking helpers and rebuilds fragment grouping without mutating a list or rebinding an index * style(guardrails): sort the constants import into the first-party block * refactor(guardrails): bring the Bedrock chunking path under the LIT lint budgets Annotates never-rebound locals with Final, replaces the retry counter and the two branch-assigned locals with single bindings, and moves the internal chunking chain to Sequence parameters and tuple returns. Collections that reach the logged payload stay lists on purpose: redact_nested_match_and_regex_keys only traverses dict and list, so a tuple would carry PII past redaction. The remaining constructions are contract-bound and carry inline reasons * fix(guardrails): keep the pre-chunking contract for failures reported inside a 200 Reverts the 500 this branch introduced for an AWS 200 whose body carries an Output.__type exception marker: the request proceeds as it did before chunking existed. The logged status is now derived from the merged response instead of being hardcoded to success, so that shape is still reported as guardrail_failed_to_respond. The consolidated failure logger also goes back to logging a dict rather than a bare string, matching both the pre-chunking code and the InvokeGuardrailChecks path in this file * docs(guardrails): correct the docstring for failures reported inside a 200 body The raise was reverted, so the docstring no longer describes the code. Records that the request proceeds by design and points at LIT-5338 for closing the fail-open path behind the existing unreachable_fallback setting --------- Co-authored-by: spencer-burridge <265588760+spencer-burridge@users.noreply.github.com> --- litellm/constants.py | 1 + .../guardrail_hooks/bedrock_guardrails.py | 857 ++++++- .../guardrails/guardrail_initializers.py | 1 + litellm/types/guardrails.py | 10 + .../guardrail_hooks/bedrock_guardrails.py | 3 + .../test_bedrock_guardrails.py | 1989 ++++++++++++----- .../proxy/guardrails/test_init_guardrails.py | 35 + 7 files changed, 2326 insertions(+), 570 deletions(-) diff --git a/litellm/constants.py b/litellm/constants.py index 6f0e9e7afe2..30d3bb1f26e 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -280,6 +280,7 @@ TOOL_POLICY_CACHE_TTL_SECONDS: Final = int(os.getenv("TOOL_POLICY_CACHE_TTL_SECO GUARDRAIL_SCANNED_MESSAGES_CACHE_TTL_SECONDS: Final = int( os.getenv("GUARDRAIL_SCANNED_MESSAGES_CACHE_TTL_SECONDS", 24 * 60 * 60) ) +BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS: Final = 25_000 # Aggregation threshold: default to 80% of the asyncio queue maxsize so the check can always trigger. # Must be < LITELLM_ASYNCIO_QUEUE_MAXSIZE; if set higher the aggregation logic will never fire. MAX_SIZE_IN_MEMORY_QUEUE: Final = int(os.getenv("MAX_SIZE_IN_MEMORY_QUEUE", int(LITELLM_ASYNCIO_QUEUE_MAXSIZE * 0.8))) diff --git a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py index e9e729fb118..eecbce57468 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py +++ b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py @@ -9,11 +9,14 @@ import os import sys sys.path.insert(0, os.path.abspath("../..")) # Adds the parent directory to the system path +import asyncio import copy import json +import re import sys -from collections.abc import AsyncGenerator, Mapping +from collections.abc import AsyncGenerator, Mapping, Sequence from datetime import datetime, timezone +from itertools import accumulate, groupby from typing import TYPE_CHECKING, Any, ClassVar, Final, Literal, NamedTuple, Optional, cast import httpx @@ -23,6 +26,7 @@ from pydantic import TypeAdapter, ValidationError import litellm from litellm._logging import verbose_proxy_logger from litellm.caching import DualCache +from litellm.constants import BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS from litellm.exceptions import ModifyResponseException from litellm.integrations.custom_guardrail import CustomGuardrail from litellm.litellm_core_utils.core_helpers import redact_nested_match_and_regex_keys @@ -46,6 +50,7 @@ from litellm.types.proxy.guardrails.guardrail_hooks.bedrock_guardrails import ( BedrockGuardrailOutput, BedrockGuardrailQualifier, BedrockGuardrailResponse, + BedrockGuardrailUsage, BedrockRequest, BedrockTextContent, ) @@ -53,6 +58,7 @@ from litellm.types.utils import GenericGuardrailAPIInputs if TYPE_CHECKING: from botocore.awsrequest import AWSPreparedRequest + from botocore.credentials import Credentials from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj @@ -71,6 +77,17 @@ from litellm.types.utils import ( GUARDRAIL_NAME: Final = "bedrock" _BEDROCK_DYNAMIC_BODY_DENYLIST: Final = frozenset({"content", "source"}) +_BEDROCK_TOO_LARGE_ERROR_SUBSTRINGS: Final = ( + "text unit", + "maximum input size", + "content size", + "too long", + "too large", + "exceeds the maximum", +) +_BEDROCK_APPLY_GUARDRAIL_MAX_THROTTLE_RETRIES: Final = 3 +_BEDROCK_APPLY_GUARDRAIL_BASE_BACKOFF_SECONDS: Final = 0.5 +_BEDROCK_WHITESPACE: Final = re.compile(r"\s") # Resource-less, detect-only InvokeGuardrailChecks API (no guardrail resource required). _BEDROCK_INVOKE_GUARDRAIL_CHECKS_PATH: Final = "/guardrail-checks/invoke" # InvokeGuardrailChecks accepts at most 10 content blocks per message. A message with @@ -118,6 +135,29 @@ class GuardrailMessageFilterResult(NamedTuple): target_indices: list[int] | None +class BedrockContentChunkResult(NamedTuple): + """One chunk's ApplyGuardrail response, paired with enough bookkeeping to + reconstruct global masked-output positions once every chunk is back. + + `content` is the exact content items this chunk was called with -- needed + so an all-clear chunk (empty `outputs`) can still contribute one unmasked + placeholder per item it covers, keeping every later chunk's masked text + aligned to its original global position. `fragment_group_size` is 1 for an + ordinary chunk, and otherwise the total number of consecutive chunk results + that together make up ONE original content item's own text (split because a + list of length 1 could not be bisected by list length). All of them must be + concatenated back into that one item's masked output rather than treated as + separate items. It is a count rather than a boolean because one item can be + bisected more than once: two levels of splitting produce four fragments for + a single item, not two, and grouping them in fixed pairs would emit two + outputs for one message and shift every later message's masked text. + """ + + response: BedrockGuardrailResponse + content: tuple[BedrockContentItem, ...] + fragment_group_size: int + + class ApplyGuardrailMessageSelection(NamedTuple): """Messages selected for an apply_guardrail scan + write-back metadata.""" @@ -168,12 +208,14 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): content_filter_threshold: float | None = 0.5, prompt_attack_threshold: float | None = 0.5, pii_confidence_threshold: float | None = 0.5, + chunk_budget_chars: int = BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS, **kwargs, ): self.async_handler = get_async_httpx_client(llm_provider=httpxSpecialProvider.GuardrailCallback) self.guardrailIdentifier = guardrailIdentifier self.guardrailVersion = guardrailVersion self.guardrail_provider = "bedrock" + self.chunk_budget_chars = chunk_budget_chars self.experimental_use_latest_role_message_only = bool(kwargs.get("experimental_use_latest_role_message_only")) # Resource-less, detect-only InvokeGuardrailChecks mode. Present `checks` @@ -759,12 +801,35 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): request_data: dict | None = None, logging_event_type: GuardrailEventHooks | None = None, ) -> BedrockGuardrailResponse: + """Scan `messages`/`response` with ApplyGuardrail, chunking if it is too large. + + Content is bin-packed into budget-sized batches and each batch posted + sequentially, every batch independently falling back to bisection if AWS + rejects it. The per-batch responses are merged so callers cannot tell whether + chunking happened. + + Content using contextual grounding opts out of chunking entirely: grounding is + scored holistically against the whole reference source, so bisecting it would + fragment that evaluation and yield misleading scores. Such a request keeps the + old behavior of surfacing a too-large error rather than being split. + + `logging_event_type` drives what UI and spend logs report. It is distinct from + Bedrock's `source`, which is INPUT vs OUTPUT for the API body and must not be + confused with the proxy hook (pre_call / during_call / post_call); when omitted, + the legacy source-derived mapping is kept for backward compatibility. + + A guardrail *block* is logged where it happens, in + `_post_apply_guardrail_content`, because chunking stops immediately and there is + no later merged response to log instead. Everything else that fails out of the + chunking flow (an unrecoverable too-large error, a non-size validation error, + exhausted throttle retries) is a genuine end-to-end failure of this one logical + guardrail call and is logged exactly once here. + """ start_time: Final = datetime.now(timezone.utc) credentials, aws_region_name = self._load_credentials() bedrock_request_data: Final[dict] = dict( self.convert_to_bedrock_format(source=source, messages=messages, response=response) ) - bedrock_guardrail_response: BedrockGuardrailResponse = BedrockGuardrailResponse() api_key: str | None = None if request_data: dynamic_request_body_params = self.get_guardrail_dynamic_request_body_params(request_data=request_data) @@ -778,6 +843,257 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): if request_data.get("api_key") is not None: api_key = request_data["api_key"] + event_type: Final = ( + logging_event_type + if logging_event_type is not None + else (GuardrailEventHooks.pre_call if source == "INPUT" else GuardrailEventHooks.post_call) + ) + + content: Final[tuple[BedrockContentItem, ...]] = tuple(bedrock_request_data.get("content") or ()) + allow_chunking: Final = not self._content_uses_contextual_grounding(content) + + try: + responses: Final = await self._apply_guardrail_content_with_chunking( + content=content, + base_request_data=bedrock_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + allow_chunking=allow_chunking, + ) + except HTTPException as exc: + if not isinstance(exc.detail, dict): + self._log_apply_guardrail_failure( + detail=exc.detail, + request_data=request_data, + event_type=event_type, + start_time=start_time, + ) + raise + merged_response: Final = self._merge_bedrock_guardrail_responses(responses) + self._log_apply_guardrail_success( + merged_response=merged_response, + request_data=request_data, + event_type=event_type, + start_time=start_time, + ) + return merged_response + + async def _apply_guardrail_content_with_chunking( + self, + content: Sequence[BedrockContentItem], + base_request_data: Mapping[str, Any], + credentials: "Credentials", + aws_region_name: str, + api_key: str | None, + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + allow_chunking: bool, + ) -> tuple[BedrockContentChunkResult, ...]: + """Post `content` to ApplyGuardrail, chunking only if AWS rejects it as too large. + + Tries `content` as a single call first. AWS's per-request "maximum input + size in text units" quota is account/region/policy-dependent and cannot be + predicted ahead of time, so it is only ever discovered reactively: on an + error whose message indicates the input was too large (a ThrottlingException + in practice, a ValidationException per the docs -- see + ``_is_input_too_large_error``), the content is re-sent in smaller pieces. + + Probing with the whole payload first is what keeps a request AWS would have + accepted at exactly one call. Packing into fixed batches up front instead + would split conversations AWS was happy to take whole, multiplying billed + calls and guardrail latency on traffic that never had a size problem, and + no fixed budget can avoid that because the real cap is unknown here. + + Once a rejection proves the payload is over the cap, a multi-item payload is + re-sent as ``chunk_budget_chars``-sized batches rather than bisected: that + reaches a working size in one step instead of paying an O(log n) ladder of + rejected calls. Bisection remains the fallback for anything bin-packing + cannot make smaller, which is what makes the recursion terminate: a batch + already inside the budget packs back to itself, so it falls through to the + split below. A single oversized + content item (one very long message) is split by its own text instead of + by list length, since a list of length 1 has no items left to bisect -- + the resulting fragments all carry a ``fragment_group_size`` so the merge + step can recombine them into the one content item they came from, rather + than treating each fragment as its own item when reconstructing positions + for masking. That count covers however many fragments the item ended up + split into, not just two, since it can be bisected repeatedly: the + outermost single-item split stamps the total leaf count on every leaf + below it, overwriting any smaller count an inner split had set. A real + guardrail block on any (sub-)chunk raises immediately + -- callers must not lose that signal by continuing to post the remaining + chunks. + """ + try: + response: Final = await self._post_apply_guardrail_content_with_retry( + content=content, + base_request_data=base_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + ) + return ( + BedrockContentChunkResult( + response=response, + content=tuple(content), + fragment_group_size=1, + ), + ) + except HTTPException as exc: + if allow_chunking and self._is_input_too_large_error(exc.detail): + batches: Final = self._bin_pack_bedrock_content(content, budget=self.chunk_budget_chars) + if len(batches) > 1: + verbose_proxy_logger.warning( + "Bedrock Guardrail: ApplyGuardrail rejected %d content item(s) as too large; " + "re-sending as %d batches of at most %d characters", + len(content), + len(batches), + self.chunk_budget_chars, + ) + batch_results: Final = [ # mutable-ok: await needs a list comprehension; frozen to a tuple below + await self._apply_guardrail_content_with_chunking( + content=batch, + base_request_data=base_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + allow_chunking=allow_chunking, + ) + for batch in batches + ] + return tuple(result for results in batch_results for result in results) + split_content: Final = self._split_bedrock_content(content) + if split_content is None: + raise + first_half, second_half = split_content + is_single_item_text_split: Final = len(content) == 1 + verbose_proxy_logger.warning( + "Bedrock Guardrail: ApplyGuardrail rejected %d content item(s) as too large; " + "splitting into %d + %d and retrying each", + len(content), + len(first_half), + len(second_half), + ) + first_results: Final = await self._apply_guardrail_content_with_chunking( + content=first_half, + base_request_data=base_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + allow_chunking=allow_chunking, + ) + second_results: Final = await self._apply_guardrail_content_with_chunking( + content=second_half, + base_request_data=base_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + allow_chunking=allow_chunking, + ) + combined_results: Final = tuple(first_results) + tuple(second_results) + if is_single_item_text_split: + return tuple( + result._replace(fragment_group_size=len(combined_results)) for result in combined_results + ) + return combined_results + raise + + async def _post_apply_guardrail_content_with_retry( + self, + content: Sequence[BedrockContentItem], + base_request_data: Mapping[str, Any], + credentials: "Credentials", + aws_region_name: str, + api_key: str | None, + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + ) -> BedrockGuardrailResponse: + """Post one ApplyGuardrail call for `content`, retrying with exponential + backoff on AWS ThrottlingException (HTTP 429). + + Chunking already trades one oversized call for several smaller ones, so + retries here are capped low -- they must not multiply per-request latency + by an order of magnitude when the account's per-second text-unit quota is + the binding constraint rather than the per-request size quota. + + A too-large rejection is deliberately excluded from the retry. AWS reports + it as a ThrottlingException (429), not only as a ValidationException, but + unlike a genuine throttle it is not transient: re-posting the same + oversized content can never succeed. Retrying it would burn every backoff + sleep and every (billed) attempt before the caller's bisection gets a + chance to split the content, at every level of the recursion. + """ + for attempt in range(_BEDROCK_APPLY_GUARDRAIL_MAX_THROTTLE_RETRIES + 1): + try: + return await self._post_apply_guardrail_content( + content=content, + base_request_data=base_request_data, + credentials=credentials, + aws_region_name=aws_region_name, + api_key=api_key, + request_data=request_data, + event_type=event_type, + start_time=start_time, + ) + except HTTPException as exc: + if ( + exc.status_code != 429 + or self._is_input_too_large_error(exc.detail) + or attempt >= _BEDROCK_APPLY_GUARDRAIL_MAX_THROTTLE_RETRIES + ): + raise + await asyncio.sleep(_BEDROCK_APPLY_GUARDRAIL_BASE_BACKOFF_SECONDS * (2**attempt)) + raise HTTPException(status_code=500, detail="Bedrock guardrail throttle retries exhausted") + + async def _post_apply_guardrail_content( + self, + content: Sequence[BedrockContentItem], + base_request_data: Mapping[str, Any], + credentials: "Credentials", + aws_region_name: str, + api_key: str | None, + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + ) -> BedrockGuardrailResponse: + """Make exactly one signed ApplyGuardrail HTTP call for `content` and + parse the result. Raises HTTPException on a guardrail block or any + non-200 response (including 429, handled by the retry wrapper above). + + AWS also reports some failures inside a 200 body, tagging ``Output.__type`` + with an Exception marker. Those deliberately do NOT raise: the request proceeds, + matching the behaviour of this code before chunking existed. The marker survives + the merge, so the one consolidated log entry still records + ``guardrail_failed_to_respond`` rather than a success. Making that path fail + closed is a separate change, tracked apart from this PR, and belongs behind the + existing ``unreachable_fallback`` setting rather than a hardcoded status. + + A block is logged here rather than by the caller: it ends the whole chunking + flow immediately, with no further chunks attempted, so there is no later + merged response for the caller to log instead. + """ + bedrock_request_data: Final = { # mutable-ok: outbound JSON request body + **base_request_data, + "content": content, + } # mutable-ok: outbound JSON request body prepared_request: Final = self._prepare_request( credentials=credentials, data=bedrock_request_data, @@ -792,42 +1108,16 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): prepared_request.headers, ) - # UI / spend logs use event_type. Bedrock's `source` is INPUT vs OUTPUT for the API - # body, which must not be confused with the proxy hook (pre_call / during_call / - # post_call). When omitted, keep legacy mapping for backward compatibility. - if logging_event_type is not None: - event_type = logging_event_type - else: - event_type = GuardrailEventHooks.pre_call if source == "INPUT" else GuardrailEventHooks.post_call - httpx_response: Final = await self._sign_and_post( prepared_request=prepared_request, request_data=request_data, event_type=event_type, start_time=start_time, + log_transport_failure=False, ) - ######################################################### - # Add guardrail information to request trace - ######################################################### - _json_response: Final = httpx_response.json() - tracing_detail: Final = self._build_tracing_detail(_json_response) - - # Raw Bedrock JSON is passed here; match/regex redaction runs once inside - # CustomGuardrail.add_standard_logging_guardrail_information_to_request_data. - self.add_standard_logging_guardrail_information_to_request_data( - guardrail_provider=self.guardrail_provider, - guardrail_json_response=_json_response, - request_data=request_data or {}, - guardrail_status=self._get_bedrock_guardrail_response_status(response=httpx_response), - start_time=start_time.timestamp(), - end_time=datetime.now(timezone.utc).timestamp(), - duration=(datetime.now(timezone.utc) - start_time).total_seconds(), - event_type=event_type, - tracing_detail=tracing_detail or None, - ) - ######################################################### if httpx_response.status_code == 200: + _json_response: Final = httpx_response.json() # check if the response was flagged verbose_proxy_logger.debug( "Bedrock AI response : %s", @@ -835,19 +1125,462 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): ) bedrock_guardrail_response = BedrockGuardrailResponse(**_json_response) if self._should_raise_guardrail_blocked_exception(bedrock_guardrail_response): + self._log_apply_guardrail_attempt( + httpx_response=httpx_response, + json_response=_json_response, + request_data=request_data, + event_type=event_type, + start_time=start_time, + ) raise self._get_http_exception_for_blocked_guardrail( bedrock_guardrail_response, request_data=request_data ) - else: - status_code, detail_message = self._parse_bedrock_guardrail_error_response(httpx_response) - verbose_proxy_logger.error( - "Bedrock AI: error in response. Status code: %s, response: %s", - httpx_response.status_code, - httpx_response.text, - ) - raise HTTPException(status_code=status_code, detail=detail_message) + return bedrock_guardrail_response - return bedrock_guardrail_response + status_code, detail_message = self._parse_bedrock_guardrail_error_response(httpx_response) + verbose_proxy_logger.error( + "Bedrock AI: error in response. Status code: %s, response: %s", + httpx_response.status_code, + httpx_response.text, + ) + raise HTTPException(status_code=status_code, detail=detail_message) + + def _log_apply_guardrail_attempt( + self, + httpx_response: httpx.Response, + json_response: dict, # mutable-ok: raw AWS JSON payload + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + ) -> None: + """Log a single ApplyGuardrail HTTP attempt as-is (its own status, + derived from its own response). Used only for the blocked-content + case, which ends the whole chunking flow immediately.""" + tracing_detail: Final = self._build_tracing_detail(BedrockGuardrailResponse(**json_response)) + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_provider=self.guardrail_provider, + guardrail_json_response=json_response, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict + guardrail_status=self._get_bedrock_guardrail_response_status(response=httpx_response), + start_time=start_time.timestamp(), + end_time=datetime.now(timezone.utc).timestamp(), + duration=(datetime.now(timezone.utc) - start_time).total_seconds(), + event_type=event_type, + tracing_detail=tracing_detail or None, + ) + + def _log_apply_guardrail_success( + self, + merged_response: BedrockGuardrailResponse, + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + ) -> None: + """Log one logical ApplyGuardrail call -- possibly several chunk calls + under the hood -- using its final merged response, so a chunked + request produces exactly one telemetry entry, the same as an + unchunked one would. + + AWS can report a failure inside an HTTP 200 body by tagging + ``Output.__type`` with an exception marker. That marker survives the merge, + so the status is derived from the merged response rather than assumed to be + a success, which is what the pre-chunking code reported for that shape.""" + tracing_detail: Final = self._build_tracing_detail(merged_response) + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_provider=self.guardrail_provider, + guardrail_json_response=dict(merged_response), # mutable-ok: logging helper requires a dict + request_data=request_data or {}, # mutable-ok: logging helper requires a dict + guardrail_status=( + "guardrail_failed_to_respond" + if "Exception" in str((merged_response.get("Output") or {}).get("__type", "")) + else "success" + ), + start_time=start_time.timestamp(), + end_time=datetime.now(timezone.utc).timestamp(), + duration=(datetime.now(timezone.utc) - start_time).total_seconds(), + event_type=event_type, + tracing_detail=tracing_detail or None, + ) + + def _log_apply_guardrail_failure( + self, + detail: object, + request_data: dict | None, # mutable-ok: proxy request body dict, mutated by the logging helper + event_type: GuardrailEventHooks, + start_time: "datetime", + ) -> None: + """Log one logical ApplyGuardrail call that failed end-to-end (an + unrecoverable too-large error, a non-size validation error, or + exhausted throttle retries) as a single failure, rather than logging + every failed attempt chunking made along the way.""" + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_provider=self.guardrail_provider, + guardrail_json_response={"error": str(detail)}, # mutable-ok: logging helper requires a dict + request_data=request_data or {}, # mutable-ok: logging helper requires a dict + guardrail_status="guardrail_failed_to_respond", + start_time=start_time.timestamp(), + end_time=datetime.now(timezone.utc).timestamp(), + duration=(datetime.now(timezone.utc) - start_time).total_seconds(), + event_type=event_type, + ) + + @staticmethod + def _content_uses_contextual_grounding(content: Sequence[BedrockContentItem]) -> bool: + """True if any content item carries a contextual-grounding qualifier + (``grounding_source``, ``query``, or the ``guard_content`` the response + itself is tagged with once grounding is present).""" + for item in content: + if (item.get("text") or {}).get("qualifiers"): # mutable-ok: read-only empty fallback + return True + return False + + @staticmethod + def _bin_pack_bedrock_content( + content: Sequence[BedrockContentItem], + budget: int, + ) -> tuple[tuple[BedrockContentItem, ...], ...]: + """Pack whole content items, in order, into batches whose combined text + length stays within `budget`, in a single pass that carries the running + total rather than re-summing the open batch per item. + + This is the fast-path half of the hybrid chunking strategy: bin-packing + at a conservative fixed budget keeps the common case at O(n / budget) + ApplyGuardrail calls instead of the O(log n) round trips pure reactive + bisection pays on every oversized request. An item whose own text + already exceeds `budget` is not split here -- it becomes its own + (still oversized) batch and is sent as-is; if AWS rejects that batch as + too large, `_apply_guardrail_content_with_chunking`'s existing + recursive-bisection fallback takes over for that batch only. + + `budget` comes from the guardrail's ``chunk_budget_chars`` setting and + defaults to 25,000, matching ApplyGuardrail's default quota of 25 text + units (roughly 1,000 characters each) per second. Packing to that size and + posting sequentially is what keeps chunking from tripping the rate quota + and trading a size error for a throttle. Accounts with raised quotas can + configure a larger budget to spend fewer calls. + + The budget is not a correctness dependency either way. AWS's effective cap + varies by account, region, and policy, is not a fixed character count, and + cannot be read from config, so any batch it still rejects falls back to + bisection, which self-corrects however wrong the value was. An over-large + budget therefore costs one extra probe-and-bisect round trip rather than + failing the request. + """ + if not content: + return (tuple(content),) + + lengths: Final = tuple(len((item.get("text") or BedrockTextContent()).get("text") or "") for item in content) + + def assign(carried: tuple[int, int], length: int) -> tuple[int, int]: + batch_index, used = carried + if used + length <= budget: + return batch_index, used + length + return batch_index + 1, length + + batch_numbers: Final = (index for index, _ in tuple(accumulate(lengths, assign, initial=(0, 0)))[1:]) + return tuple( + tuple(item for _, item in group) + for _, group in groupby(zip(batch_numbers, content), key=lambda pair: pair[0]) + ) + + @staticmethod + def _split_bedrock_content( + content: Sequence[BedrockContentItem], + ) -> tuple[tuple[BedrockContentItem, ...], tuple[BedrockContentItem, ...]] | None: + """Bisect `content` into two roughly-equal, non-empty halves. + + When `content` already holds more than one item, it is split by list + length. When it holds exactly one item, that item's own text is split + instead (a list of length 1 has no items left to bisect, but one very + long message is still a single content item) -- at the whitespace + character nearest the midpoint rather than a raw character index, so + the cut never lands inside a word/token. This is a plain, lossless + cut with no overlap: concatenating the two fragments in order always + reproduces the original text exactly, so merging back at + ``_merge_logical_unit_outputs`` needs no reconciliation step. + + Known, accepted limitation: whitespace splitting only guards against + *accidentally* severing a single token (one denied word, one PII + pattern) across the cut. It does not, and cannot without an overlap + window, stop a *multi-word* denied phrase deliberately positioned to + straddle the boundary -- each fragment can scan clean on its own and + still reassemble into the flagged phrase. AWS's own guidance on this + API acknowledges the same gap for input chunking ("a critical piece of + text could span two (or more) chunks if not carefully divided") with + no documented resolution, and overlap-and-reconcile was evaluated and + rejected for this PR: AWS's masking output has no documented + length-preservation guarantee, so reconciling an overlap region against + masked text is not sound in general. Out of scope for this PR. + + Returns None when there is nothing left to split -- a single item + whose text is too short to halve into two non-empty pieces -- so the + caller can give up and propagate the original too-large error instead + of recursing forever. + """ + if len(content) > 1: + midpoint: Final = max(1, len(content) // 2) + return tuple(content[:midpoint]), tuple(content[midpoint:]) + + text_content: Final = content[0].get("text") or BedrockTextContent() + text: Final = text_content.get("text") or "" + if len(text) < 2: + return None + split_at: Final = BedrockGuardrail._nearest_whitespace_split_index(text) + qualifiers: Final = text_content.get("qualifiers") + + def fragment(piece: str) -> BedrockContentItem: + block: Final = ( + BedrockTextContent(text=piece, qualifiers=qualifiers) if qualifiers else BedrockTextContent(text=piece) + ) + return BedrockContentItem(text=block) + + return (fragment(text[:split_at]),), (fragment(text[split_at:]),) + + @staticmethod + def _nearest_whitespace_split_index(text: str) -> int: + """Return the index nearest `text`'s midpoint that falls on a whitespace + boundary, so splitting `text[:i]` / `text[i:]` there never severs a word. + + Any Unicode whitespace counts, not just an ASCII space. Matching only `" "` + would leave the boundary unguarded for exactly the payloads that get large + enough to need splitting: JSON lines, source code, logs and transcripts are + newline or tab delimited, so a deny-listed word sitting at the midpoint of + one would be cut in half, scan clean on both fragments, and reassemble + intact. + + The returned index always leaves both sides non-empty, which is what makes + the caller's recursion terminate. A boundary that would put the split at 0 + or at ``len(text)`` is discarded: it would hand back a fragment identical to + the text just rejected as too large, AWS would reject that again, and each + retry would re-split it into the same unchanged fragment until the stack ran + out. The dangerous shape is a text whose only space at or after the midpoint + is its final character. + + Falls back to the raw midpoint when no usable whitespace boundary exists, either + because `text` has none at all (a single giant token) or because the only + candidates were degenerate. That is still a correct, lossless split, just no + longer guaranteed word-safe for those cases. `text` must be at least two + characters, which `_split_bedrock_content` guarantees, so the midpoint itself + is never degenerate. + """ + midpoint: Final = len(text) // 2 + before: Final = max((found.end() for found in _BEDROCK_WHITESPACE.finditer(text, 0, midpoint)), default=None) + after_match: Final = _BEDROCK_WHITESPACE.search(text, midpoint) + candidates: Final = sorted( + (split for split in (before, after_match.end() if after_match else None) if split is not None), + key=lambda split: abs(split - midpoint), + ) + return next((split for split in candidates if 0 < split < len(text)), midpoint) + + @staticmethod + def _is_input_too_large_error(detail: object) -> bool: + """True if `detail` is an AWS error message for input exceeding the + per-request text-unit quota. + + Matched on the message rather than the status code on purpose: AWS is not + consistent about which error it raises for this. Observed against a live + guardrail with an active content-filter policy, an oversized request comes + back as a *ThrottlingException* (429) reading ``Input text size (3273 text + units) exceeds the maximum allowed (1000 text units) for the content filter + policy (Classic tier)``, while the documented failure mode is a + ValidationException (400). Keying off the message covers both. + + A guardrail *block* is also raised as an HTTPException with status 400, + but its ``detail`` is always a dict (built by + ``_get_http_exception_for_blocked_guardrail``); a non-200 API error's + ``detail`` is always the plain string returned by + ``_parse_bedrock_guardrail_error_response``. Checking ``isinstance(detail, + str)`` is therefore sufficient to never mistake a real block for a + too-large error. + """ + if not isinstance(detail, str): + return False + lowered: Final = detail.lower() + return any(substring in lowered for substring in _BEDROCK_TOO_LARGE_ERROR_SUBSTRINGS) + + @staticmethod + def _merge_bedrock_guardrail_responses( + chunk_results: Sequence[BedrockContentChunkResult], + ) -> BedrockGuardrailResponse: + """Merge the per-chunk ApplyGuardrail responses of a chunked request into + one, so a caller cannot tell whether chunking happened. + + Only ever called with responses that all passed (a block raises + immediately from ``_apply_guardrail_content_with_chunking`` and is never + added to this list). ``action`` is only set on the merged response when + at least one chunk's raw response included it, and left absent otherwise + -- mirroring a real single-call response and matching what + ``_build_tracing_detail`` treats as "Bedrock didn't report an action". + + Fields this merge has no opinion on (``actionReason``, ``guardrailCoverage``, + ``blockedResponse``, anything AWS adds later) are carried over from the chunk + responses rather than dropped, so the response and the logged telemetry keep + the shape a single unchunked call returned. The merged keys below win. + + Per AWS's documented ApplyGuardrail contract, a single call's ``outputs`` + is positionally parallel to the ``content`` items *of that call*: an + entry per item when anything in the call was masked, or an empty list + when nothing in the whole call was masked. Downstream masking + (``_apply_masking_to_messages``) walks the merged ``outputs`` by a single + running index across the *original, unchunked* message list, so a later + chunk's masked text must land at the same global position it would have + if chunking had never happened. Naively concatenating each chunk's + ``outputs`` breaks that whenever a chunk had nothing masked (its empty + list would otherwise silently swallow its items' slots, shifting every + later chunk's masked text left onto the wrong message). So every + item -- masked or not -- always contributes exactly one entry here, + falling back to that item's own original (unmasked) text when its + chunk returned no output for it; a wholly-untouched result is then + collapsed back to an empty ``outputs`` list to match a real single-call + no-op response. A chunk that returns a nonzero output count not equal + to its item count is passed through as-is instead of guessed at, since + AWS's docs don't cover partial masking within one multi-item call. + """ + logical_units: Final = BedrockGuardrail._group_fragment_units(chunk_results) + per_unit_outputs: Final = tuple(BedrockGuardrail._merge_logical_unit_outputs(unit) for unit in logical_units) + merged_outputs: Final = [ # mutable-ok: logged payload; redaction only traverses dict/list + output for outputs, _ in per_unit_outputs for output in outputs + ] + any_masked: Final = any(masked for _, masked in per_unit_outputs) + + actions: Final = tuple( + chunk_result.response.get("action") + for chunk_result in chunk_results + if isinstance(chunk_result.response.get("action"), str) + ) + merged_action: Final = ( + "GUARDRAIL_INTERVENED" if "GUARDRAIL_INTERVENED" in actions else (actions[-1] if actions else None) + ) + merged_assessments: Final = [ # mutable-ok: logged payload; redaction only traverses dict/list + assessment + for chunk_result in chunk_results + for assessment in (chunk_result.response.get("assessments") or []) # mutable-ok: logged payload + ] + any_usage_reported: Final = any(chunk_result.response.get("usage") for chunk_result in chunk_results) + + merged: Final[BedrockGuardrailResponse] = cast( # cast-ok: TypedDict assembled from a comprehension + BedrockGuardrailResponse, + { # mutable-ok: builds the TypedDict payload + key: value for chunk_result in chunk_results for key, value in chunk_result.response.items() + }, + ) + if merged_action is not None: + merged["action"] = merged_action + if merged_outputs and any_masked: + merged["outputs"] = merged_outputs + merged["output"] = merged_outputs + if merged_assessments: + merged["assessments"] = merged_assessments + if any_usage_reported: + merged["usage"] = BedrockGuardrail._sum_bedrock_guardrail_usage(chunk_results) + return merged + + @staticmethod + def _sum_bedrock_guardrail_usage( + chunk_results: Sequence[BedrockContentChunkResult], + ) -> BedrockGuardrailUsage: + """Sum each chunk's ``usage`` counters field-by-field into one totals dict. + + Keys are taken from the responses rather than from a fixed list, so a counter + this code does not know about (AWS has added several) is still summed and + reported instead of being silently dropped to zero.""" + chunk_usages: Final = tuple( + chunk_result.response.get("usage") or {} # mutable-ok: read-only empty fallback + for chunk_result in chunk_results + ) + return cast( # cast-ok: TypedDict assembled from a comprehension + BedrockGuardrailUsage, + { # mutable-ok: builds the TypedDict payload + key: sum(usage.get(key) or 0 for usage in chunk_usages) + for key in dict.fromkeys(key for usage in chunk_usages for key in usage) + }, + ) + + @staticmethod + def _group_fragment_units( + chunk_results: Sequence[BedrockContentChunkResult], + ) -> tuple[tuple[BedrockContentChunkResult, ...], ...]: + """Group consecutive text-fragment chunk results back into the one content + item each group came from, leaving every ordinary chunk result as a unit of + one. + + The group size is read off the results themselves rather than assumed, + because a single content item can be bisected repeatedly: two levels of + splitting yield four fragments for one item, not two. Assuming a fixed pair + here would emit two outputs for one message and shift every later message's + masked text onto the wrong message.""" + + def advance(carried: tuple[int, bool], result: BedrockContentChunkResult) -> tuple[int, bool]: + remaining, _ = carried + if remaining == 0: + return max(1, result.fragment_group_size) - 1, True + return remaining - 1, False + + starts: Final = tuple( + index + for index, (_, starts_unit) in enumerate(tuple(accumulate(chunk_results, advance, initial=(0, False)))[1:]) + if starts_unit + ) + return tuple(tuple(chunk_results[start:end]) for start, end in zip(starts, starts[1:] + (len(chunk_results),))) + + @staticmethod + def _merge_logical_unit_outputs( + unit: tuple[BedrockContentChunkResult, ...], + ) -> tuple[tuple[BedrockGuardrailOutput, ...], bool]: + """Reduce one logical unit (a fragment group of any size, or a single chunk + result) to the ``BedrockGuardrailOutput`` entries it contributes to the + merged response, plus whether any masking actually happened in it. + + Per AWS's documented ApplyGuardrail contract, a single call's + ``outputs`` is positionally parallel to the ``content`` items *of that + call*: an entry per item when anything in the call was masked, or an + empty list when nothing in the whole call was masked. Downstream + masking (``_apply_masking_to_messages``) walks the merged ``outputs`` + by a single running index across the *original, unchunked* message + list, so a later chunk's masked text must land at the same global + position it would have if chunking had never happened. So every item + -- masked or not -- always contributes exactly one entry here, falling + back to that item's own original (unmasked) text when its chunk + returned no output for it. A chunk that returns a nonzero output count + not equal to its item count is passed through as-is instead of guessed + at, since AWS's docs don't cover partial masking within one multi-item + call. + + A unit holding more than one result is a fragment group: every result in it + is one fragment of a single content item's text, so the group collapses to + one entry built from each fragment's masked text (or that fragment's own + original text where it came back unmasked), concatenated in order. This + holds for any group size, not only two. + """ + if len(unit) > 1: + + def fragment_outputs(result: BedrockContentChunkResult) -> tuple[BedrockGuardrailOutput, ...]: + return tuple(result.response.get("outputs") or result.response.get("output") or ()) + + def fragment_text(result: BedrockContentChunkResult) -> str: + source: Final = (result.content[0].get("text") or {}).get( # mutable-ok: read-only fallback + "text" + ) or "" + outputs: Final = fragment_outputs(result) + masked: Final = outputs[0].get("text") if outputs else None + return masked if masked is not None else source + + merged_text: Final = "".join(fragment_text(result) for result in unit) + any_masked: Final = any(fragment_outputs(result) for result in unit) + return (BedrockGuardrailOutput(text=merged_text),), any_masked + + (chunk_result,) = unit + chunk_outputs: Final = chunk_result.response.get("outputs") or chunk_result.response.get("output") or () + if len(chunk_outputs) == len(chunk_result.content): + return tuple(chunk_outputs), bool(chunk_outputs) + if not chunk_outputs: + return tuple( + BedrockGuardrailOutput( + text=(item.get("text") or {}).get("text") or "" # mutable-ok: read-only fallback + ) + for item in chunk_result.content + ), False + return tuple(chunk_outputs), True async def _sign_and_post( self, @@ -855,6 +1588,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): request_data: dict | None, event_type: GuardrailEventHooks, start_time: "datetime", + log_transport_failure: bool = True, ) -> httpx.Response: """POST a signed Bedrock request, logging+raising on network/HTTP errors. @@ -862,6 +1596,20 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): transport-error handling cannot drift. Returns the raw ``httpx.Response`` on success (including non-2xx that httpx did not raise on); the 200-path logging, status and tracing stay with each caller because the two APIs report differently. + + ``log_transport_failure=False`` suppresses the ``guardrail_failed_to_respond`` + entry for a non-200 that is re-raised as an ``HTTPException``, for callers that + own consolidated per-request logging. The ApplyGuardrail path needs this: + ``AsyncHTTPHandler.post`` calls ``raise_for_status()``, so every non-200 lands + in this handler, and one logical request can legitimately produce several of + them (a too-large probe, then each rejected bisection level) while still + succeeding overall. Logging per attempt would report a recovered request as + several failures plus a success. + + The connection-level branch below (timeout, endpoint down) still logs + unconditionally: it re-raises the original exception rather than an + ``HTTPException``, so no consolidating caller catches it, and suppressing it + would drop the only record of the failure. """ try: return await self.async_handler.post( @@ -882,16 +1630,19 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): status_code, detail_message, ) = self._parse_bedrock_guardrail_error_response(err_response) - self.add_standard_logging_guardrail_information_to_request_data( - guardrail_provider=self.guardrail_provider, - guardrail_json_response={"error": detail_message}, - request_data=request_data or {}, - guardrail_status="guardrail_failed_to_respond", - start_time=start_time.timestamp(), - end_time=datetime.now(timezone.utc).timestamp(), - duration=(datetime.now(timezone.utc) - start_time).total_seconds(), - event_type=event_type, - ) + if log_transport_failure: + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_provider=self.guardrail_provider, + guardrail_json_response={ # mutable-ok: logging helper requires a dict + "error": detail_message + }, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict + guardrail_status="guardrail_failed_to_respond", + start_time=start_time.timestamp(), + end_time=datetime.now(timezone.utc).timestamp(), + duration=(datetime.now(timezone.utc) - start_time).total_seconds(), + event_type=event_type, + ) raise HTTPException(status_code=status_code, detail=detail_message) from e except HTTPException: raise @@ -900,7 +1651,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): self.add_standard_logging_guardrail_information_to_request_data( guardrail_provider=self.guardrail_provider, guardrail_json_response={"error": str(e)}, - request_data=request_data or {}, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict guardrail_status="guardrail_failed_to_respond", start_time=start_time.timestamp(), end_time=datetime.now(timezone.utc).timestamp(), @@ -1027,7 +1778,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): self.add_standard_logging_guardrail_information_to_request_data( guardrail_provider=self.guardrail_provider, guardrail_json_response={"error": detail_message}, - request_data=request_data or {}, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict guardrail_status="guardrail_failed_to_respond", start_time=start_time.timestamp(), end_time=datetime.now(timezone.utc).timestamp(), @@ -1043,7 +1794,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): self.add_standard_logging_guardrail_information_to_request_data( guardrail_provider=self.guardrail_provider, guardrail_json_response={"error": str(e)}, - request_data=request_data or {}, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict guardrail_status="guardrail_failed_to_respond", start_time=start_time.timestamp(), end_time=datetime.now(timezone.utc).timestamp(), @@ -1061,7 +1812,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): self.add_standard_logging_guardrail_information_to_request_data( guardrail_provider=self.guardrail_provider, guardrail_json_response=self._sanitize_invoke_checks_response_for_logging(json_response), - request_data=request_data or {}, + request_data=request_data or {}, # mutable-ok: logging helper requires a dict guardrail_status=self._get_invoke_checks_status(bool(violations)), start_time=start_time.timestamp(), end_time=datetime.now(timezone.utc).timestamp(), diff --git a/litellm/proxy/guardrails/guardrail_initializers.py b/litellm/proxy/guardrails/guardrail_initializers.py index 190d19f3d52..0d23e19f88d 100644 --- a/litellm/proxy/guardrails/guardrail_initializers.py +++ b/litellm/proxy/guardrails/guardrail_initializers.py @@ -20,6 +20,7 @@ def initialize_bedrock(litellm_params: LitellmParams, guardrail: Guardrail): content_filter_threshold=litellm_params.content_filter_threshold, prompt_attack_threshold=litellm_params.prompt_attack_threshold, pii_confidence_threshold=litellm_params.pii_confidence_threshold, + chunk_budget_chars=litellm_params.chunk_budget_chars, default_on=litellm_params.default_on, disable_exception_on_block=litellm_params.disable_exception_on_block, mask_request_content=litellm_params.mask_request_content, diff --git a/litellm/types/guardrails.py b/litellm/types/guardrails.py index 6b354a39101..bbb6d758814 100644 --- a/litellm/types/guardrails.py +++ b/litellm/types/guardrails.py @@ -5,6 +5,7 @@ from typing import Any, Final, Literal from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator from typing_extensions import Required, TypedDict +from litellm.constants import BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS from litellm.types.proxy.guardrails.guardrail_hooks.akto import ( AktoConfigModel, ) @@ -525,6 +526,15 @@ class BedrockGuardrailConfigModel(BaseModel): description="InvokeGuardrailChecks: block when any sensitiveInformation confidenceScore " ">= this value (scores are in [0,1]). Set to null to make PII detection detect-only.", ) + chunk_budget_chars: int = Field( + default=BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS, + gt=0, + description="ApplyGuardrail: batch size, in characters, used to re-send content after AWS " + "has rejected a request as too large. Requests AWS accepts are always sent in a single " + "call, so this has no effect until a rejection happens. Defaults to 25,000; a batch AWS " + "still rejects is bisected automatically, so this value only trades round trips against " + "batch size and cannot fail a request on its own.", + ) class LakeraV2GuardrailConfigModel(BaseModel): diff --git a/litellm/types/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py b/litellm/types/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py index d97bdc3532f..8d66b624341 100644 --- a/litellm/types/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py +++ b/litellm/types/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py @@ -28,6 +28,9 @@ class BedrockGuardrailUsage(TypedDict, total=False): sensitiveInformationPolicyUnits: int | None sensitiveInformationPolicyFreeUnits: int | None contextualGroundingPolicyUnits: int | None + contentPolicyImageUnits: int | None + automatedReasoningPolicyUnits: int | None + automatedReasoningPolicies: int | None class BedrockGuardrailOutput(TypedDict, total=False): diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py index 76a695ce3fd..837fb93d331 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py @@ -7,6 +7,7 @@ import os import sys from unittest.mock import AsyncMock, MagicMock, patch +import httpx import pytest from fastapi import HTTPException @@ -15,12 +16,18 @@ sys.path.insert(0, os.path.abspath("../../../../../..")) import litellm from litellm.caching.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth +from litellm.constants import BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS from litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails import ( + BedrockContentChunkResult, BedrockGuardrail, _redact_pii_matches, ) from litellm.proxy.utils import ProxyLogging from litellm.types.guardrails import GuardrailEventHooks +from litellm.types.proxy.guardrails.guardrail_hooks.bedrock_guardrails import ( + BedrockContentItem, + BedrockTextContent, +) from litellm.types.utils import CallTypes, ModelResponse @@ -53,9 +60,7 @@ async def test__redact_pii_matches_function(): redacted_response = _redact_pii_matches(response_with_pii) # Verify that PII matches are redacted - pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ] + pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"] assert pii_entities[0]["match"] == "[REDACTED]", "Name should be redacted" assert pii_entities[1]["match"] == "[REDACTED]", "SSN should be redacted" @@ -173,12 +178,8 @@ async def test__redact_pii_matches_multiple_assessments(): redacted_response = _redact_pii_matches(response_multiple_assessments) # Verify all PII in all assessments are redacted - assessment1_pii = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ] - assessment2_pii = redacted_response["assessments"][1]["sensitiveInformationPolicy"][ - "piiEntities" - ] + assessment1_pii = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"] + assessment2_pii = redacted_response["assessments"][1]["sensitiveInformationPolicy"]["piiEntities"] assert assessment1_pii[0]["match"] == "[REDACTED]", "Email should be redacted" assert assessment2_pii[0]["match"] == "[REDACTED]", "Credit card should be redacted" @@ -199,9 +200,7 @@ async def test_bedrock_guardrail_logging_uses_redacted_response(): # Create proper mock objects mock_user_api_key_dict = UserAPIKeyAuth() - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Mock the Bedrock API response with PII mock_bedrock_response = MagicMock() @@ -239,20 +238,11 @@ async def test_bedrock_guardrail_logging_uses_redacted_response(): # Mock AWS-related methods to ensure test runs without external dependencies with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch( - "litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails.verbose_proxy_logger.debug" - ) as mock_debug, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ) as mock_load_creds, - patch.object( - guardrail, "_prepare_request", return_value=MagicMock() - ) as mock_prepare_request, + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch("litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails.verbose_proxy_logger.debug") as mock_debug, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")) as mock_load_creds, + patch.object(guardrail, "_prepare_request", return_value=MagicMock()) as mock_prepare_request, ): - mock_post.return_value = mock_bedrock_response # Call the method that should log the redacted response @@ -275,37 +265,23 @@ async def test_bedrock_guardrail_logging_uses_redacted_response(): bedrock_response_log_call = call break - assert ( - bedrock_response_log_call is not None - ), "Should have logged Bedrock AI response" + assert bedrock_response_log_call is not None, "Should have logged Bedrock AI response" # Extract the logged response data - logged_response = bedrock_response_log_call[0][ - 1 - ] # Second argument to debug call + logged_response = bedrock_response_log_call[0][1] # Second argument to debug call # Verify that the logged response has redacted PII assert ( - logged_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ][0]["match"] - == "[REDACTED]" + logged_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0]["match"] == "[REDACTED]" ) # Verify other fields are preserved assert logged_response["action"] == "GUARDRAIL_INTERVENED" - assert ( - logged_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ][0]["type"] - == "PHONE" - ) + assert logged_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0]["type"] == "PHONE" slg_list = request_data["metadata"]["standard_logging_guardrail_information"] assert ( - slg_list[0]["guardrail_response"]["assessments"][0][ - "sensitiveInformationPolicy" - ]["piiEntities"][0]["match"] + slg_list[0]["guardrail_response"]["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0]["match"] == "[REDACTED]" ) @@ -319,9 +295,7 @@ async def test_bedrock_guardrail_original_response_not_modified(): # Create proper mock objects mock_user_api_key_dict = UserAPIKeyAuth() - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Mock the Bedrock API response with PII original_response_data = { @@ -361,17 +335,10 @@ async def test_bedrock_guardrail_original_response_not_modified(): # Mock AWS-related methods to ensure test runs without external dependencies with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ) as mock_load_creds, - patch.object( - guardrail, "_prepare_request", return_value=MagicMock() - ) as mock_prepare_request, + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")) as mock_load_creds, + patch.object(guardrail, "_prepare_request", return_value=MagicMock()) as mock_prepare_request, ): - mock_post.return_value = mock_bedrock_response # Call the method @@ -385,19 +352,12 @@ async def test_bedrock_guardrail_original_response_not_modified(): # (The json() method should return the original data) original_data = mock_bedrock_response.json() assert ( - original_data["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ][0]["match"] + original_data["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0]["match"] == "+1 412 555 1212" ) # Verify that the returned BedrockGuardrailResponse contains original data - assert ( - result["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0][ - "match" - ] - == "+1 412 555 1212" - ) + assert result["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0]["match"] == "+1 412 555 1212" print("Original response not modified test passed") @@ -454,18 +414,14 @@ async def test__redact_pii_matches_preserves_non_pii_entities(): redacted_response = _redact_pii_matches(response_with_mixed_data) # Verify that PII entity matches are redacted - pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ] + pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"] assert pii_entities[0]["match"] == "[REDACTED]", "PII match should be redacted" assert pii_entities[0]["type"] == "EMAIL", "PII type should be preserved" assert pii_entities[0]["action"] == "ANONYMIZED", "PII action should be preserved" assert pii_entities[0]["confidence"] == "HIGH", "PII confidence should be preserved" # Verify that regex matches are also redacted (updated behavior) - regexes = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "regexes" - ] + regexes = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["regexes"] assert regexes[0]["match"] == "[REDACTED]", "Regex match should be redacted" assert regexes[0]["name"] == "custom_pattern", "Regex name should be preserved" assert regexes[0]["action"] == "BLOCKED", "Regex action should be preserved" @@ -496,9 +452,7 @@ async def test_pii_redaction_matches_debug_output_format(): "assessments": [ { "invocationMetrics": { - "guardrailCoverage": { - "textCharacters": {"guarded": 84, "total": 84} - }, + "guardrailCoverage": {"textCharacters": {"guarded": 84, "total": 84}}, "guardrailProcessingLatency": 322, "usage": { "contentPolicyImageUnits": 0, @@ -553,9 +507,7 @@ async def test_pii_redaction_matches_debug_output_format(): redacted_response = _redact_pii_matches(original_response) # Verify the redacted response matches your expected debug output - pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "piiEntities" - ] + pii_entities = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"] # All PII matches should be redacted assert pii_entities[0]["match"] == "[REDACTED]", "NAME should be redacted" @@ -570,34 +522,19 @@ async def test_pii_redaction_matches_debug_output_format(): assert pii_entities[0]["detected"] == True # Verify that the original response is unchanged - original_pii_entities = original_response["assessments"][0][ - "sensitiveInformationPolicy" - ]["piiEntities"] - assert ( - original_pii_entities[0]["match"] == "John Smith" - ), "Original should be unchanged" - assert ( - original_pii_entities[1]["match"] == "324-12-3212" - ), "Original should be unchanged" - assert ( - original_pii_entities[2]["match"] == "607-456-7890" - ), "Original should be unchanged" + original_pii_entities = original_response["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"] + assert original_pii_entities[0]["match"] == "John Smith", "Original should be unchanged" + assert original_pii_entities[1]["match"] == "324-12-3212", "Original should be unchanged" + assert original_pii_entities[2]["match"] == "607-456-7890", "Original should be unchanged" # Verify all other metadata is preserved in redacted response assert redacted_response["action"] == "GUARDRAIL_INTERVENED" assert redacted_response["actionReason"] == "Guardrail blocked." assert redacted_response["blockedResponse"] == "Input blocked by PII policy" - assert ( - redacted_response["assessments"][0]["invocationMetrics"][ - "guardrailProcessingLatency" - ] - == 322 - ) + assert redacted_response["assessments"][0]["invocationMetrics"]["guardrailProcessingLatency"] == 322 print("PII redaction matches debug output format test passed") - print( - f"Original PII values preserved: {[e['match'] for e in original_pii_entities]}" - ) + print(f"Original PII values preserved: {[e['match'] for e in original_pii_entities]}") print(f"Redacted PII values: {[e['match'] for e in pii_entities]}") @@ -632,14 +569,10 @@ async def test__redact_pii_matches_with_regex_matches(): redacted_response = _redact_pii_matches(response_with_regex) # Verify that regex matches are redacted - regexes = redacted_response["assessments"][0]["sensitiveInformationPolicy"][ - "regexes" - ] + regexes = redacted_response["assessments"][0]["sensitiveInformationPolicy"]["regexes"] assert regexes[0]["match"] == "[REDACTED]", "SSN regex match should be redacted" - assert ( - regexes[1]["match"] == "[REDACTED]" - ), "Credit card regex match should be redacted" + assert regexes[1]["match"] == "[REDACTED]", "Credit card regex match should be redacted" # Verify other fields are preserved assert regexes[0]["name"] == "SSN_PATTERN", "Regex name should be preserved" @@ -648,13 +581,9 @@ async def test__redact_pii_matches_with_regex_matches(): assert regexes[1]["action"] == "ANONYMIZED", "Regex action should be preserved" # Verify original response is unchanged - original_regexes = response_with_regex["assessments"][0][ - "sensitiveInformationPolicy" - ]["regexes"] + original_regexes = response_with_regex["assessments"][0]["sensitiveInformationPolicy"]["regexes"] assert original_regexes[0]["match"] == "123-45-6789", "Original should be unchanged" - assert ( - original_regexes[1]["match"] == "4111-1111-1111-1111" - ), "Original should be unchanged" + assert original_regexes[1]["match"] == "4111-1111-1111-1111", "Original should be unchanged" print("Regex matches redaction test passed") @@ -690,31 +619,17 @@ async def test__redact_pii_matches_with_custom_words(): # Verify that custom word matches are redacted custom_words = redacted_response["assessments"][0]["wordPolicy"]["customWords"] - assert ( - custom_words[0]["match"] == "[REDACTED]" - ), "First custom word match should be redacted" - assert ( - custom_words[1]["match"] == "[REDACTED]" - ), "Second custom word match should be redacted" + assert custom_words[0]["match"] == "[REDACTED]", "First custom word match should be redacted" + assert custom_words[1]["match"] == "[REDACTED]", "Second custom word match should be redacted" # Verify other fields are preserved - assert ( - custom_words[0]["action"] == "BLOCKED" - ), "Custom word action should be preserved" - assert ( - custom_words[1]["action"] == "ANONYMIZED" - ), "Custom word action should be preserved" + assert custom_words[0]["action"] == "BLOCKED", "Custom word action should be preserved" + assert custom_words[1]["action"] == "ANONYMIZED", "Custom word action should be preserved" # Verify original response is unchanged - original_custom_words = response_with_custom_words["assessments"][0]["wordPolicy"][ - "customWords" - ] - assert ( - original_custom_words[0]["match"] == "confidential_data" - ), "Original should be unchanged" - assert ( - original_custom_words[1]["match"] == "secret_information" - ), "Original should be unchanged" + original_custom_words = response_with_custom_words["assessments"][0]["wordPolicy"]["customWords"] + assert original_custom_words[0]["match"] == "confidential_data", "Original should be unchanged" + assert original_custom_words[1]["match"] == "secret_information", "Original should be unchanged" print("Custom words redaction test passed") @@ -750,41 +665,21 @@ async def test__redact_pii_matches_with_managed_words(): redacted_response = _redact_pii_matches(response_with_managed_words) # Verify that managed word matches are redacted - managed_words = redacted_response["assessments"][0]["wordPolicy"][ - "managedWordLists" - ] + managed_words = redacted_response["assessments"][0]["wordPolicy"]["managedWordLists"] - assert ( - managed_words[0]["match"] == "[REDACTED]" - ), "First managed word match should be redacted" - assert ( - managed_words[1]["match"] == "[REDACTED]" - ), "Second managed word match should be redacted" + assert managed_words[0]["match"] == "[REDACTED]", "First managed word match should be redacted" + assert managed_words[1]["match"] == "[REDACTED]", "Second managed word match should be redacted" # Verify other fields are preserved - assert ( - managed_words[0]["action"] == "BLOCKED" - ), "Managed word action should be preserved" - assert ( - managed_words[0]["type"] == "PROFANITY" - ), "Managed word type should be preserved" - assert ( - managed_words[1]["action"] == "ANONYMIZED" - ), "Managed word action should be preserved" - assert ( - managed_words[1]["type"] == "HATE_SPEECH" - ), "Managed word type should be preserved" + assert managed_words[0]["action"] == "BLOCKED", "Managed word action should be preserved" + assert managed_words[0]["type"] == "PROFANITY", "Managed word type should be preserved" + assert managed_words[1]["action"] == "ANONYMIZED", "Managed word action should be preserved" + assert managed_words[1]["type"] == "HATE_SPEECH", "Managed word type should be preserved" # Verify original response is unchanged - original_managed_words = response_with_managed_words["assessments"][0][ - "wordPolicy" - ]["managedWordLists"] - assert ( - original_managed_words[0]["match"] == "inappropriate_word" - ), "Original should be unchanged" - assert ( - original_managed_words[1]["match"] == "offensive_term" - ), "Original should be unchanged" + original_managed_words = response_with_managed_words["assessments"][0]["wordPolicy"]["managedWordLists"] + assert original_managed_words[0]["match"] == "inappropriate_word", "Original should be unchanged" + assert original_managed_words[1]["match"] == "offensive_term", "Original should be unchanged" print("Managed words redaction test passed") @@ -841,9 +736,7 @@ async def test__redact_pii_matches_comprehensive_coverage(): # PII entities pii_entities = assessment["sensitiveInformationPolicy"]["piiEntities"] - assert ( - pii_entities[0]["match"] == "[REDACTED]" - ), "PII entity match should be redacted" + assert pii_entities[0]["match"] == "[REDACTED]", "PII entity match should be redacted" # Regex matches regexes = assessment["sensitiveInformationPolicy"]["regexes"] @@ -851,15 +744,11 @@ async def test__redact_pii_matches_comprehensive_coverage(): # Custom words custom_words = assessment["wordPolicy"]["customWords"] - assert ( - custom_words[0]["match"] == "[REDACTED]" - ), "Custom word match should be redacted" + assert custom_words[0]["match"] == "[REDACTED]", "Custom word match should be redacted" # Managed words managed_words = assessment["wordPolicy"]["managedWordLists"] - assert ( - managed_words[0]["match"] == "[REDACTED]" - ), "Managed word match should be redacted" + assert managed_words[0]["match"] == "[REDACTED]", "Managed word match should be redacted" # Verify all other fields are preserved assert pii_entities[0]["type"] == "EMAIL" @@ -868,21 +757,10 @@ async def test__redact_pii_matches_comprehensive_coverage(): # Verify original response is unchanged original_assessment = comprehensive_response["assessments"][0] - assert ( - original_assessment["sensitiveInformationPolicy"]["piiEntities"][0]["match"] - == "user@example.com" - ) - assert ( - original_assessment["sensitiveInformationPolicy"]["regexes"][0]["match"] - == "555-123-4567" - ) - assert ( - original_assessment["wordPolicy"]["customWords"][0]["match"] == "confidential" - ) - assert ( - original_assessment["wordPolicy"]["managedWordLists"][0]["match"] - == "inappropriate" - ) + assert original_assessment["sensitiveInformationPolicy"]["piiEntities"][0]["match"] == "user@example.com" + assert original_assessment["sensitiveInformationPolicy"]["regexes"][0]["match"] == "555-123-4567" + assert original_assessment["wordPolicy"]["customWords"][0]["match"] == "confidential" + assert original_assessment["wordPolicy"]["managedWordLists"][0]["match"] == "inappropriate" print("Comprehensive coverage redaction test passed") @@ -914,9 +792,7 @@ async def test_bedrock_guardrail_respects_custom_runtime_endpoint(monkeypatch): aws_region_name = "us-east-1" # Mock the _load_credentials method to avoid actual AWS credential loading - with patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name) - ): + with patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name)): # Call _prepare_request which internally calls get_runtime_endpoint prepped_request = guardrail._prepare_request( credentials=mock_credentials, @@ -926,10 +802,12 @@ async def test_bedrock_guardrail_respects_custom_runtime_endpoint(monkeypatch): ) # Verify that the custom endpoint is used in the URL - expected_url = f"{custom_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" - assert ( - prepped_request.url == expected_url - ), f"Expected URL to contain custom endpoint. Got: {prepped_request.url}" + expected_url = ( + f"{custom_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" + ) + assert prepped_request.url == expected_url, ( + f"Expected URL to contain custom endpoint. Got: {prepped_request.url}" + ) print(f"Custom runtime endpoint test passed. URL: {prepped_request.url}") @@ -944,9 +822,7 @@ async def test_bedrock_guardrail_respects_env_runtime_endpoint(monkeypatch): monkeypatch.setenv("AWS_BEDROCK_RUNTIME_ENDPOINT", custom_endpoint) # Create guardrail without explicit aws_bedrock_runtime_endpoint - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Mock credentials mock_credentials = MagicMock() @@ -960,9 +836,7 @@ async def test_bedrock_guardrail_respects_env_runtime_endpoint(monkeypatch): aws_region_name = "us-east-1" # Mock the _load_credentials method - with patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name) - ): + with patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name)): # Call _prepare_request which internally calls get_runtime_endpoint prepped_request = guardrail._prepare_request( credentials=mock_credentials, @@ -972,10 +846,10 @@ async def test_bedrock_guardrail_respects_env_runtime_endpoint(monkeypatch): ) # Verify that the custom endpoint from environment is used in the URL - expected_url = f"{custom_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" - assert ( - prepped_request.url == expected_url - ), f"Expected URL to contain env endpoint. Got: {prepped_request.url}" + expected_url = ( + f"{custom_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" + ) + assert prepped_request.url == expected_url, f"Expected URL to contain env endpoint. Got: {prepped_request.url}" print(f"Environment runtime endpoint test passed. URL: {prepped_request.url}") @@ -988,9 +862,7 @@ async def test_bedrock_guardrail_uses_default_endpoint_when_no_custom_set(monkey monkeypatch.delenv("AWS_BEDROCK_RUNTIME_ENDPOINT", raising=False) # Create guardrail without any custom endpoint - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Mock credentials mock_credentials = MagicMock() @@ -1004,9 +876,7 @@ async def test_bedrock_guardrail_uses_default_endpoint_when_no_custom_set(monkey aws_region_name = "us-west-2" # Mock the _load_credentials method - with patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name) - ): + with patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name)): # Call _prepare_request which internally calls get_runtime_endpoint prepped_request = guardrail._prepare_request( credentials=mock_credentials, @@ -1017,9 +887,7 @@ async def test_bedrock_guardrail_uses_default_endpoint_when_no_custom_set(monkey # Verify that the default endpoint is used expected_url = f"https://bedrock-runtime.{aws_region_name}.amazonaws.com/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" - assert ( - prepped_request.url == expected_url - ), f"Expected default URL. Got: {prepped_request.url}" + assert prepped_request.url == expected_url, f"Expected default URL. Got: {prepped_request.url}" print(f"Default endpoint test passed. URL: {prepped_request.url}") @@ -1057,9 +925,7 @@ async def test_bedrock_guardrail_parameter_takes_precedence_over_env(monkeypatch aws_region_name = "us-east-1" # Mock the _load_credentials method - with patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name) - ): + with patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, aws_region_name)): # Call _prepare_request which internally calls get_runtime_endpoint prepped_request = guardrail._prepare_request( credentials=mock_credentials, @@ -1069,10 +935,12 @@ async def test_bedrock_guardrail_parameter_takes_precedence_over_env(monkeypatch ) # Verify that the parameter takes precedence over environment variable - expected_url = f"{param_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" - assert ( - prepped_request.url == expected_url - ), f"Expected parameter endpoint to take precedence. Got: {prepped_request.url}" + expected_url = ( + f"{param_endpoint}/guardrail/{guardrail.guardrailIdentifier}/version/{guardrail.guardrailVersion}/apply" + ) + assert prepped_request.url == expected_url, ( + f"Expected parameter endpoint to take precedence. Got: {prepped_request.url}" + ) print(f"Parameter precedence test passed. URL: {prepped_request.url}") @@ -1081,14 +949,10 @@ async def test_bedrock_guardrail_parameter_takes_precedence_over_env(monkeypatch async def test_bedrock_apply_guardrail_with_only_tool_calls_response(): """Test that apply_guardrail handles response with tool_calls (no text content) without calling Bedrock API""" # Create a BedrockGuardrail instance - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Mock the make_bedrock_api_request method - with patch.object( - guardrail, "make_bedrock_api_request", new_callable=AsyncMock - ) as mock_api_request: + with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api_request: # Test the apply_guardrail method with tool_calls in response inputs = { "texts": [], @@ -1115,14 +979,9 @@ async def test_bedrock_apply_guardrail_with_only_tool_calls_response(): assert guardrailed_inputs is not None assert "tool_calls" in guardrailed_inputs assert len(guardrailed_inputs["tool_calls"]) == 1 - assert ( - guardrailed_inputs["tool_calls"][0]["id"] == "call_eFSCWFsyL7MclHYnzKrcQnMK" - ) + assert guardrailed_inputs["tool_calls"][0]["id"] == "call_eFSCWFsyL7MclHYnzKrcQnMK" assert guardrailed_inputs["tool_calls"][0]["function"]["name"] == "get_weather" - assert ( - guardrailed_inputs["tool_calls"][0]["function"]["arguments"] - == '{"location":"São Paulo"}' - ) + assert guardrailed_inputs["tool_calls"][0]["function"]["arguments"] == '{"location":"São Paulo"}' # Verify that the Bedrock API was NOT called since there's no text to process mock_api_request.assert_not_called() print("✅ apply_guardrail with tool_calls test passed - no API call made") @@ -1136,14 +995,10 @@ async def test_bedrock_apply_guardrail_response_uses_OUTPUT_source(): policies (e.g. PII on model output) then returned action=NONE for non-streaming completions that go through unified_guardrail -> process_output_response. """ - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") bedrock_none = {"action": "NONE", "output": [], "outputs": []} - with patch.object( - guardrail, "make_bedrock_api_request", new_callable=AsyncMock - ) as mock_api: + with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api: mock_api.return_value = bedrock_none await guardrail.apply_guardrail( @@ -1168,14 +1023,10 @@ async def test_bedrock_apply_guardrail_response_uses_OUTPUT_source(): @pytest.mark.asyncio async def test_bedrock_apply_guardrail_request_uses_INPUT_source(): """input_type='request' must call Bedrock with source=INPUT and user messages.""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") bedrock_none = {"action": "NONE", "output": [], "outputs": []} - with patch.object( - guardrail, "make_bedrock_api_request", new_callable=AsyncMock - ) as mock_api: + with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api: mock_api.return_value = bedrock_none await guardrail.apply_guardrail( @@ -1258,12 +1109,8 @@ async def test_bedrock_guardrail_blocked_content_with_masking_enabled(): # Mock AWS-related methods with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = mock_bedrock_response @@ -1431,9 +1278,7 @@ class TestShouldRaiseGuardrailBlockedExceptionNullSafety: """Tests for _should_raise_guardrail_blocked_exception handling of null list fields.""" def _create_guardrail(self) -> BedrockGuardrail: - return BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + return BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") @pytest.mark.asyncio async def test_should_handle_all_null_policy_sub_lists(self): @@ -1554,9 +1399,7 @@ class TestShouldRaiseGuardrailBlockedExceptionNullSafety: { "sensitiveInformationPolicy": { "piiEntities": None, - "regexes": [ - {"name": "SSN", "match": "123-45-6789", "action": "BLOCKED"} - ], + "regexes": [{"name": "SSN", "match": "123-45-6789", "action": "BLOCKED"}], }, } ], @@ -1611,18 +1454,14 @@ class TestApplyGuardrailNullSafety: @pytest.mark.asyncio async def test_should_handle_none_texts_in_inputs(self): """inputs[\"texts\"] is explicitly None — should not crash.""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") inputs = {"texts": None} # Explicit None mock_credentials = MagicMock() with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, patch.object( guardrail, "_load_credentials", @@ -1645,18 +1484,14 @@ class TestApplyGuardrailNullSafety: @pytest.mark.asyncio async def test_should_handle_missing_texts_key(self): """inputs has no \"texts\" key at all — should not crash.""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") inputs = {} # No "texts" key mock_credentials = MagicMock() with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, patch.object( guardrail, "_load_credentials", @@ -1677,9 +1512,7 @@ class TestApplyGuardrailNullSafety: @pytest.mark.asyncio async def test_bedrock_guardrail_blocked_vs_anonymized_actions(): """Test that BLOCKED actions raise exceptions but ANONYMIZED actions do not""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") # Test 1: ANONYMIZED action should NOT raise exception anonymized_response = { @@ -1700,9 +1533,7 @@ async def test_bedrock_guardrail_blocked_vs_anonymized_actions(): ], } - should_raise = guardrail._should_raise_guardrail_blocked_exception( - anonymized_response - ) + should_raise = guardrail._should_raise_guardrail_blocked_exception(anonymized_response) assert should_raise is False, "ANONYMIZED actions should not raise exceptions" # Test 2: BLOCKED action should raise exception @@ -1710,13 +1541,7 @@ async def test_bedrock_guardrail_blocked_vs_anonymized_actions(): "action": "GUARDRAIL_INTERVENED", "outputs": [{"text": "I can't provide that information."}], "assessments": [ - { - "topicPolicy": { - "topics": [ - {"name": "Sensitive Topic", "type": "DENY", "action": "BLOCKED"} - ] - } - } + {"topicPolicy": {"topics": [{"name": "Sensitive Topic", "type": "DENY", "action": "BLOCKED"}]}} ], } @@ -1738,19 +1563,13 @@ async def test_bedrock_guardrail_blocked_vs_anonymized_actions(): } ] }, - "topicPolicy": { - "topics": [ - {"name": "Blocked Topic", "type": "DENY", "action": "BLOCKED"} - ] - }, + "topicPolicy": {"topics": [{"name": "Blocked Topic", "type": "DENY", "action": "BLOCKED"}]}, } ], } should_raise = guardrail._should_raise_guardrail_blocked_exception(mixed_response) - assert ( - should_raise is True - ), "Mixed actions with any BLOCKED should raise exceptions" + assert should_raise is True, "Mixed actions with any BLOCKED should raise exceptions" # Test 4: NONE action should not raise exception none_response = { @@ -1782,9 +1601,7 @@ async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): When logging_event_type is set, it must be forwarded to standard guardrail logging. When omitted, INPUT maps to pre_call (legacy). """ - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") mock_credentials = MagicMock() mock_credentials.access_key = "test-access-key" mock_credentials.secret_key = "test-secret-key" @@ -1795,13 +1612,7 @@ async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): mock_bedrock_response.json.return_value = { "action": "NONE", "assessments": [ - { - "sensitiveInformationPolicy": { - "piiEntities": [ - {"type": "NAME", "match": "GG", "action": "BLOCKED"} - ] - } - } + {"sensitiveInformationPolicy": {"piiEntities": [{"type": "NAME", "match": "GG", "action": "BLOCKED"}]}} ], } @@ -1811,12 +1622,8 @@ async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): } with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), patch.object( guardrail, @@ -1831,15 +1638,13 @@ async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): request_data=request_data, logging_event_type=GuardrailEventHooks.during_call, ) - assert ( - mock_log.call_args.kwargs["event_type"] == GuardrailEventHooks.during_call - ) + assert mock_log.call_args.kwargs["event_type"] == GuardrailEventHooks.during_call # Raw Bedrock JSON is forwarded; redaction runs once in # CustomGuardrail.add_standard_logging_guardrail_information_to_request_data. assert ( - mock_log.call_args.kwargs["guardrail_json_response"]["assessments"][0][ - "sensitiveInformationPolicy" - ]["piiEntities"][0]["match"] + mock_log.call_args.kwargs["guardrail_json_response"]["assessments"][0]["sensitiveInformationPolicy"][ + "piiEntities" + ][0]["match"] == "GG" ) @@ -1855,9 +1660,7 @@ async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): @pytest.mark.asyncio async def test_make_bedrock_api_request_filters_dynamic_evaluation_overrides(): - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") mock_credentials = MagicMock() mock_credentials.access_key = "test-access-key" mock_credentials.secret_key = "test-secret-key" @@ -1873,15 +1676,9 @@ async def test_make_bedrock_api_request_filters_dynamic_evaluation_overrides(): prepared_request.headers = {} with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), - patch.object( - guardrail, "_prepare_request", return_value=prepared_request - ) as mock_prepare_request, + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=prepared_request) as mock_prepare_request, patch.object( guardrail, "get_guardrail_dynamic_request_body_params", @@ -1933,9 +1730,7 @@ async def test_during_call_hook_invokes_bedrock_async_moderation_hook(): "model": "gpt-4", "messages": [{"role": "user", "content": "test"}], }, - user_api_key_dict=UserAPIKeyAuth( - api_key="test_key", user_id="test_user" - ), + user_api_key_dict=UserAPIKeyAuth(api_key="test_key", user_id="test_user"), call_type="completion", ) finally: @@ -1991,11 +1786,7 @@ def test_extract_blocked_assessments_multiple_policies(): "action": "GUARDRAIL_INTERVENED", "assessments": [ { - "topicPolicy": { - "topics": [ - {"name": "Investment", "type": "DENY", "action": "BLOCKED"} - ] - }, + "topicPolicy": {"topics": [{"name": "Investment", "type": "DENY", "action": "BLOCKED"}]}, "contentPolicy": { "filters": [ { @@ -2006,9 +1797,7 @@ def test_extract_blocked_assessments_multiple_policies(): } ] }, - "wordPolicy": { - "customWords": [{"match": "forbidden", "action": "BLOCKED"}] - }, + "wordPolicy": {"customWords": [{"match": "forbidden", "action": "BLOCKED"}]}, } ], } @@ -2023,13 +1812,7 @@ def test_extract_blocked_assessments_only_anonymized_returns_empty(): response = { "action": "GUARDRAIL_INTERVENED", "assessments": [ - { - "sensitiveInformationPolicy": { - "piiEntities": [ - {"type": "NAME", "action": "ANONYMIZED", "match": "Jack"} - ] - } - } + {"sensitiveInformationPolicy": {"piiEntities": [{"type": "NAME", "action": "ANONYMIZED", "match": "Jack"}]}} ], } assert g._extract_blocked_assessments(response) == [] @@ -2049,23 +1832,14 @@ def test_get_http_exception_includes_assessments_and_identifier(): "action": "GUARDRAIL_INTERVENED", "outputs": [{"text": "Sorry, the model cannot answer this question."}], "assessments": [ - { - "sensitiveInformationPolicy": { - "piiEntities": [ - {"type": "NAME", "action": "BLOCKED", "match": "Jack"} - ] - } - } + {"sensitiveInformationPolicy": {"piiEntities": [{"type": "NAME", "action": "BLOCKED", "match": "Jack"}]}} ], } exc = g._get_http_exception_for_blocked_guardrail(response) assert isinstance(exc, HTTPException) assert exc.status_code == 400 assert exc.detail["error"] == "Violated guardrail policy" - assert ( - exc.detail["bedrock_guardrail_response"] - == "Sorry, the model cannot answer this question." - ) + assert exc.detail["bedrock_guardrail_response"] == "Sorry, the model cannot answer this question." assert exc.detail["guardrailIdentifier"] == "amgllac6xf3r" assert exc.detail["guardrailVersion"] == "1" assert exc.detail["assessments"][0]["policy"] == "sensitiveInformationPolicy" @@ -2088,15 +1862,11 @@ def test_extract_violation_category_names_mixed_policies(): {"name": "Tax Advice", "action": "BLOCKED"}, ] }, - "contentPolicy": { - "filters": [{"type": "VIOLENCE", "action": "BLOCKED"}] - }, + "contentPolicy": {"filters": [{"type": "VIOLENCE", "action": "BLOCKED"}]}, "wordPolicy": { "managedWordLists": [{"type": "PROFANITY", "action": "BLOCKED"}], }, - "sensitiveInformationPolicy": { - "piiEntities": [{"type": "EMAIL", "action": "BLOCKED"}] - }, + "sensitiveInformationPolicy": {"piiEntities": [{"type": "EMAIL", "action": "BLOCKED"}]}, } ], } @@ -2120,13 +1890,9 @@ def test_extract_violation_category_names_does_not_leak_user_input(): "assessments": [ { "wordPolicy": { - "customWords": [ - {"match": "secret-codeword-abc-123", "action": "BLOCKED"} - ], - }, - "sensitiveInformationPolicy": { - "regexes": [{"match": "4111-1111-1111-1111", "action": "BLOCKED"}] + "customWords": [{"match": "secret-codeword-abc-123", "action": "BLOCKED"}], }, + "sensitiveInformationPolicy": {"regexes": [{"match": "4111-1111-1111-1111", "action": "BLOCKED"}]}, } ], } @@ -2166,13 +1932,7 @@ def test_extract_violation_category_names_skips_anonymized(): g = _make_guardrail() response = { "action": "GUARDRAIL_INTERVENED", - "assessments": [ - { - "sensitiveInformationPolicy": { - "piiEntities": [{"type": "NAME", "action": "ANONYMIZED"}] - } - } - ], + "assessments": [{"sensitiveInformationPolicy": {"piiEntities": [{"type": "NAME", "action": "ANONYMIZED"}]}}], } assert g._extract_violation_category_names(response) == [] @@ -2190,9 +1950,7 @@ async def test_make_bedrock_api_request_forwards_guardrail_action(): ``tracing_detail`` so downstream loggers (OTEL, ...) can surface the raw provider verdict as a queryable attribute without re-parsing the redacted guardrail_response blob.""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") mock_credentials = MagicMock() mock_credentials.access_key = "k" mock_credentials.secret_key = "s" @@ -2202,13 +1960,7 @@ async def test_make_bedrock_api_request_forwards_guardrail_action(): mock_bedrock_response.status_code = 200 mock_bedrock_response.json.return_value = { "action": "GUARDRAIL_INTERVENED", - "assessments": [ - { - "topicPolicy": { - "topics": [{"name": "Fiduciary Advice", "action": "BLOCKED"}] - } - } - ], + "assessments": [{"topicPolicy": {"topics": [{"name": "Fiduciary Advice", "action": "BLOCKED"}]}}], } request_data = { @@ -2217,12 +1969,8 @@ async def test_make_bedrock_api_request_forwards_guardrail_action(): } with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), patch.object( guardrail, @@ -2253,9 +2001,7 @@ async def test_make_bedrock_api_request_omits_guardrail_action_when_missing(): """If the Bedrock response omits ``action`` (older / partial payloads), the field must be left off ``tracing_detail`` rather than written as ``None`` — downstream code expects strings or absence, not nulls.""" - guardrail = BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + guardrail = BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") mock_credentials = MagicMock() mock_credentials.access_key = "k" mock_credentials.secret_key = "s" @@ -2266,12 +2012,8 @@ async def test_make_bedrock_api_request_omits_guardrail_action_when_missing(): mock_bedrock_response.json.return_value = {"assessments": []} with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), patch.object( guardrail, @@ -2300,13 +2042,7 @@ def test_get_http_exception_no_blocked_assessments_omits_field(): "action": "GUARDRAIL_INTERVENED", "outputs": [{"text": "blocked"}], "assessments": [ - { - "sensitiveInformationPolicy": { - "piiEntities": [ - {"type": "NAME", "action": "ANONYMIZED", "match": "Jack"} - ] - } - } + {"sensitiveInformationPolicy": {"piiEntities": [{"type": "NAME", "action": "ANONYMIZED", "match": "Jack"}]}} ], } exc = g._get_http_exception_for_blocked_guardrail(response) @@ -2370,9 +2106,7 @@ async def test_streaming_post_call_only_runs_output_scan(): yield c minimal = {"action": "NONE", "assessments": [], "outputs": []} - with patch.object( - guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal) - ) as mock_make: + with patch.object(guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal)) as mock_make: out = [] async for chunk in guardrail.async_post_call_streaming_iterator_hook( user_api_key_dict=UserAPIKeyAuth(), @@ -2382,18 +2116,11 @@ async def test_streaming_post_call_only_runs_output_scan(): out.append(chunk) assert len(out) >= 1 - output_calls = [ - c for c in mock_make.call_args_list if c.kwargs.get("source") == "OUTPUT" - ] + output_calls = [c for c in mock_make.call_args_list if c.kwargs.get("source") == "OUTPUT"] assert len(output_calls) == 1 assert output_calls[0].kwargs.get("request_data") is request_data - assert ( - output_calls[0].kwargs.get("logging_event_type") - == GuardrailEventHooks.post_call - ) - input_calls = [ - c for c in mock_make.call_args_list if c.kwargs.get("source") == "INPUT" - ] + assert output_calls[0].kwargs.get("logging_event_type") == GuardrailEventHooks.post_call + input_calls = [c for c in mock_make.call_args_list if c.kwargs.get("source") == "INPUT"] assert len(input_calls) == 0 @@ -2432,9 +2159,7 @@ async def test_streaming_post_call_output_only_path_passes_request_data_to_make_ yield c minimal = {"action": "NONE", "assessments": [], "outputs": []} - with patch.object( - guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal) - ) as mock_make: + with patch.object(guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal)) as mock_make: async for _ in guardrail.async_post_call_streaming_iterator_hook( user_api_key_dict=UserAPIKeyAuth(), response=mock_stream(), @@ -2488,9 +2213,7 @@ async def test_post_call_success_hook_only_runs_output_scan(): ) minimal = {"action": "NONE", "assessments": [], "outputs": []} - with patch.object( - guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal) - ) as mock_make: + with patch.object(guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal)) as mock_make: await guardrail.async_post_call_success_hook( data=request_data, user_api_key_dict=UserAPIKeyAuth(), @@ -2499,10 +2222,7 @@ async def test_post_call_success_hook_only_runs_output_scan(): sources = [c.kwargs.get("source") for c in mock_make.call_args_list] assert sources == ["OUTPUT"] - assert ( - mock_make.call_args.kwargs.get("logging_event_type") - == GuardrailEventHooks.post_call - ) + assert mock_make.call_args.kwargs.get("logging_event_type") == GuardrailEventHooks.post_call # --------------------------------------------------------------------------- @@ -2522,9 +2242,7 @@ _GROUNDING_RESPONSE_TEXT = "The capital of Japan is Tokyo." def _grounding_guardrail() -> BedrockGuardrail: - return BedrockGuardrail( - guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" - ) + return BedrockGuardrail(guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT") def _grounding_messages() -> list: @@ -2556,27 +2274,19 @@ def _model_response(content: str) -> ModelResponse: # Expected OUTPUT content blocks, keyed by their grounding qualifier, so the # per-test assertions read as the block sequence they expect. -_GROUNDING_SOURCE_BLOCK = { - "text": {"text": _GROUNDING_SOURCE_TEXT, "qualifiers": ["grounding_source"]} -} +_GROUNDING_SOURCE_BLOCK = {"text": {"text": _GROUNDING_SOURCE_TEXT, "qualifiers": ["grounding_source"]}} _QUERY_BLOCK = {"text": {"text": _GROUNDING_QUERY_TEXT, "qualifiers": ["query"]}} -_GUARD_BLOCK = { - "text": {"text": _GROUNDING_RESPONSE_TEXT, "qualifiers": ["guard_content"]} -} +_GUARD_BLOCK = {"text": {"text": _GROUNDING_RESPONSE_TEXT, "qualifiers": ["guard_content"]}} def _input_request(messages: list) -> dict: """Arrange a guardrail and act: build the Bedrock INPUT payload.""" - return _grounding_guardrail().convert_to_bedrock_format( - source="INPUT", messages=messages - ) + return _grounding_guardrail().convert_to_bedrock_format(source="INPUT", messages=messages) def _output_request(messages: list, response=None) -> dict: """Arrange a guardrail and act: build the Bedrock OUTPUT payload.""" - return _grounding_guardrail().convert_to_bedrock_format( - source="OUTPUT", response=response, messages=messages - ) + return _grounding_guardrail().convert_to_bedrock_format(source="OUTPUT", response=response, messages=messages) def test_grounding_input_strips_grounding_and_query_qualifiers(): @@ -2600,9 +2310,7 @@ def test_grounding_input_leaves_existing_guarded_text_unqualified(): """An existing guarded_text input block keeps its legacy unqualified payload.""" expected_request = {"source": "INPUT", "content": [{"text": {"text": "policy"}}]} - actual_request = _input_request( - [{"role": "user", "content": [{"type": "guarded_text", "text": "policy"}]}] - ) + actual_request = _input_request([{"role": "user", "content": [{"type": "guarded_text", "text": "policy"}]}]) assert actual_request == expected_request @@ -2615,9 +2323,7 @@ def test_grounding_output_assembles_source_query_and_response(): "content": [_GROUNDING_SOURCE_BLOCK, _QUERY_BLOCK, _GUARD_BLOCK], } - actual_request = _output_request( - _grounding_messages(), _model_response(_GROUNDING_RESPONSE_TEXT) - ) + actual_request = _output_request(_grounding_messages(), _model_response(_GROUNDING_RESPONSE_TEXT)) assert actual_request == expected_request @@ -2629,9 +2335,7 @@ def test_grounding_output_keeps_legacy_payload_without_tags(): "content": [{"text": {"text": "Hi there."}}], } - actual_request = _output_request( - [{"role": "user", "content": "hello"}], _model_response("Hi there.") - ) + actual_request = _output_request([{"role": "user", "content": "hello"}], _model_response("Hi there.")) assert actual_request == expected_request @@ -2639,9 +2343,7 @@ def test_grounding_output_keeps_legacy_payload_without_tags(): def test_grounding_output_combines_multiple_sources(): """Every grounding_source block is emitted; Bedrock combines them into one corpus.""" uk_source_text = "London is the capital of UK." - uk_source_block = { - "text": {"text": uk_source_text, "qualifiers": ["grounding_source"]} - } + uk_source_block = {"text": {"text": uk_source_text, "qualifiers": ["grounding_source"]}} messages = [ { "role": "system", @@ -2662,9 +2364,7 @@ def test_grounding_output_combines_multiple_sources(): ], } - actual_request = _output_request( - messages, _model_response(_GROUNDING_RESPONSE_TEXT) - ) + actual_request = _output_request(messages, _model_response(_GROUNDING_RESPONSE_TEXT)) assert actual_request == expected_request @@ -2709,9 +2409,7 @@ def test_grounding_source_trusted_only_from_app_roles(role, is_trusted): if is_trusted: expected_content = [_GROUNDING_SOURCE_BLOCK, *expected_content] - actual_request = _output_request( - messages, _model_response(_GROUNDING_RESPONSE_TEXT) - ) + actual_request = _output_request(messages, _model_response(_GROUNDING_RESPONSE_TEXT)) assert actual_request == {"source": "OUTPUT", "content": expected_content} @@ -2748,12 +2446,8 @@ async def test_grounding_output_blocked_raises_400(): mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = mock_bedrock_response @@ -2791,13 +2485,7 @@ def _blocked_bedrock_httpx_response() -> MagicMock: response.json.return_value = { "action": "GUARDRAIL_INTERVENED", "outputs": [{"text": "Sorry, the model cannot answer this question."}], - "assessments": [ - { - "topicPolicy": { - "topics": [{"name": "Denied", "type": "DENY", "action": "BLOCKED"}] - } - } - ], + "assessments": [{"topicPolicy": {"topics": [{"name": "Denied", "type": "DENY", "action": "BLOCKED"}]}}], } return response @@ -2820,12 +2508,8 @@ async def test_make_bedrock_api_request_block_raises_modify_response_when_flag_s mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = _blocked_bedrock_httpx_response() @@ -2857,12 +2541,8 @@ async def test_make_bedrock_api_request_block_raises_http_400_when_flag_unset(): mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = _blocked_bedrock_httpx_response() @@ -2903,12 +2583,8 @@ async def test_async_pre_call_hook_propagates_modify_response_on_block(): mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = _blocked_bedrock_httpx_response() @@ -2953,12 +2629,8 @@ async def test_async_moderation_hook_propagates_modify_response_on_block(): mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = _blocked_bedrock_httpx_response() @@ -2998,12 +2670,8 @@ async def test_async_post_call_success_hook_attaches_original_response_on_block( mock_credentials.token = None with ( - patch.object( - guardrail.async_handler, "post", new_callable=AsyncMock - ) as mock_post, - patch.object( - guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") - ), + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), ): mock_post.return_value = _blocked_bedrock_httpx_response() @@ -3032,9 +2700,7 @@ async def test_apply_guardrail_propagates_modify_response_on_block(): disable_exception_on_block=True, ) - with patch.object( - guardrail, "make_bedrock_api_request", new_callable=AsyncMock - ) as mock_api: + with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api: mock_api.side_effect = ModifyResponseException( message="Sorry, the model cannot answer this question.", model="bedrock-nova-micro", @@ -3276,6 +2942,1160 @@ async def test_chat_completion_modify_response_exception_streaming_logging_obj_n assert response is not None +def _too_large_validation_httpx_response() -> MagicMock: + response = MagicMock() + response.status_code = 400 + response.json.return_value = { + "message": "Input is too long. Content size exceeds the maximum input size in text units." + } + response.text = json.dumps(response.json.return_value) + return response + + +def _other_validation_httpx_response() -> MagicMock: + response = MagicMock() + response.status_code = 400 + response.json.return_value = {"message": "guardrailIdentifier is not valid"} + response.text = json.dumps(response.json.return_value) + return response + + +def _throttling_httpx_response() -> MagicMock: + response = MagicMock() + response.status_code = 429 + response.json.return_value = {"message": "Rate exceeded"} + response.text = json.dumps(response.json.return_value) + response.headers = {} + return response + + +def _too_large_throttling_httpx_response() -> MagicMock: + """The shape AWS actually returns for an oversized ApplyGuardrail request when + the guardrail has an active content-filter policy: a 429 ThrottlingException, + not the documented 400 ValidationException. Message taken from a live call.""" + response = MagicMock() + response.status_code = 429 + response.json.return_value = { + "message": ( + "Input text size (3273 text units) exceeds the maximum allowed " + "(1000 text units) for the content filter policy (Classic tier)." + ) + } + response.text = json.dumps(response.json.return_value) + response.headers = {} + return response + + +def _passing_bedrock_httpx_response(marker: str) -> MagicMock: + """A successful ApplyGuardrail response tagged with `marker` so tests can + verify which chunk produced which output/usage after merging.""" + response = MagicMock() + response.status_code = 200 + response.json.return_value = { + "action": "NONE", + "outputs": [{"text": marker}], + "assessments": [], + "usage": {"contentPolicyUnits": 1}, + } + return response + + +def _blocking_bedrock_httpx_response(marker: str) -> MagicMock: + response = MagicMock() + response.status_code = 200 + response.json.return_value = { + "action": "GUARDRAIL_INTERVENED", + "outputs": [{"text": marker}], + "assessments": [{"topicPolicy": {"topics": [{"name": marker, "type": "DENY", "action": "BLOCKED"}]}}], + "usage": {"contentPolicyUnits": 1}, + } + return response + + +def _bedrock_guardrail_for_chunk_tests() -> "BedrockGuardrail": + return BedrockGuardrail( + guardrail_name="test-bedrock-guard", + guardrailIdentifier="test-guardrail", + guardrailVersion="DRAFT", + disable_exception_on_block=False, + ) + + +@pytest.mark.asyncio +async def test_apply_guardrail_chunks_on_too_large_validation_error(): + """A too-large 400 on the whole-content call must trigger a bisect-and-retry, + and the two chunk responses must be merged (assessments concatenated, usage + summed, outputs concatenated) rather than losing either half's result.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "first half of a very long message"}, + {"role": "user", "content": "second half of a very long message"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + if call_count == 2: + return _passing_bedrock_httpx_response("chunk-1") + return _blocking_bedrock_httpx_response("chunk-2") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + with pytest.raises(HTTPException) as exc_info: + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 3 + detail = exc_info.value.detail + assert exc_info.value.status_code == 400 + assert "chunk-2" in detail["bedrock_guardrail_response"] + assert detail["assessments"][0]["matches"][0]["name"] == "chunk-2" + + +@pytest.mark.asyncio +async def test_apply_guardrail_merges_usage_and_outputs_across_chunks_when_both_pass(): + """When both chunks pass clean, the merged response must still carry both + chunks' outputs/usage forward (needed for accurate logging/telemetry) and + must not itself raise.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "chunk one text"}, + {"role": "user", "content": "chunk two text"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + if call_count == 2: + return _passing_bedrock_httpx_response("chunk-1") + return _passing_bedrock_httpx_response("chunk-2") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 3 + assert result.get("action") == "NONE" + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["chunk-1", "chunk-2"] + assert result.get("usage", {}).get("contentPolicyUnits") == 2 + + +@pytest.mark.asyncio +async def test_apply_guardrail_recurses_past_first_bisection_into_four_chunks(): + """A payload that is still too large after one bisection must keep splitting + -- chunking is not capped at two pieces. Four messages where both the + whole-content call AND both first-level halves are too large must recurse + one level deeper into four chunks that all fit, not give up after the + first split.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "message one"}, + {"role": "user", "content": "message two"}, + {"role": "user", "content": "message three"}, + {"role": "user", "content": "message four"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + responses = [ + _too_large_validation_httpx_response(), # whole content: [1,2,3,4] + _too_large_validation_httpx_response(), # first half: [1,2] + _passing_bedrock_httpx_response("message one"), + _passing_bedrock_httpx_response("message two"), + _too_large_validation_httpx_response(), # second half: [3,4] + _passing_bedrock_httpx_response("message three"), + _passing_bedrock_httpx_response("message four"), + ] + + async def _post_side_effect(*_args, **_kwargs): + return responses.pop(0) + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 7 + assert not responses + assert result.get("action") == "NONE" + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["message one", "message two", "message three", "message four"] + + +@pytest.mark.asyncio +async def test_apply_guardrail_does_not_chunk_when_grounding_present(): + """Contextual-grounding requests are scored holistically against the whole + source; chunking them would silently produce misleading grounding scores. + A too-large error on a grounded request must propagate unchanged, not be + bisected.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + { + "role": "system", + "content": [{"type": "grounding_source", "text": "reference source text"}], + }, + {"role": "user", "content": "what does the source say?"}, + ] + model_response = ModelResponse() + model_response.choices = [litellm.Choices(message=litellm.Message(content="a grounded answer", role="assistant"))] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.return_value = _too_large_validation_httpx_response() + + with pytest.raises(HTTPException) as exc_info: + await guardrail.make_bedrock_api_request( + source="OUTPUT", + messages=messages, + response=model_response, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 1 + assert exc_info.value.status_code == 400 + + +@pytest.mark.asyncio +async def test_apply_guardrail_does_not_chunk_on_non_size_validation_error(): + """A 400 for an unrelated validation problem (e.g. a bad guardrail id) must + not trigger chunking -- retrying a bad-config error split into pieces would + just fail twice more and mask the real problem.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "first"}, + {"role": "user", "content": "second"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.return_value = _other_validation_httpx_response() + + with pytest.raises(HTTPException) as exc_info: + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 1 + assert exc_info.value.status_code == 400 + assert "not valid" in str(exc_info.value.detail) + + +@pytest.mark.asyncio +async def test_apply_guardrail_too_large_on_unsplittable_text_propagates_original_error(): + """A too-large error on content that has been bisected down to text too + short to split further (< 2 characters) must propagate the original error + rather than looping or crashing.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [{"role": "user", "content": "a"}] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.return_value = _too_large_validation_httpx_response() + + with pytest.raises(HTTPException) as exc_info: + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 1 + assert exc_info.value.status_code == 400 + + +@pytest.mark.asyncio +async def test_apply_guardrail_too_large_on_single_item_splits_by_text_and_succeeds(): + """A too-large error on content that is already down to a single content + item must be bisected by that item's own text (not abandoned), so an + oversized single message can still be scanned successfully in halves.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [{"role": "user", "content": "one giant single block of text"}] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + return _passing_bedrock_httpx_response(f"half-{call_count}") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + response = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 3 + assert response.get("action") == "NONE" + + +def _raised_bedrock_error(status_code: int, message: str) -> httpx.HTTPStatusError: + """A non-200 the way `AsyncHTTPHandler.post` actually surfaces it. + + That handler calls `response.raise_for_status()`, so in production a non-200 from + Bedrock arrives as a raised `httpx.HTTPStatusError` carrying the response, never + as a returned response object. Tests that return the response instead exercise a + branch real traffic never reaches. A real `httpx.Response` is used rather than a + MagicMock because the transport helper branches on + `isinstance(err_response, httpx.Response)`.""" + response = httpx.Response( + status_code=status_code, + json={"message": message}, + request=httpx.Request("POST", "https://bedrock-runtime.us-east-1.amazonaws.com/guardrail"), + ) + return httpx.HTTPStatusError(message, request=response.request, response=response) + + +_TOO_LARGE_MESSAGE = "Input is too long. Content size exceeds the maximum input size in text units." + + +@pytest.mark.asyncio +async def test_apply_guardrail_chunking_logs_once_when_client_raises_for_status(): + """The too-large attempt recovered by chunking must still produce exactly one + telemetry entry when the HTTP client raises for status, which is what really + happens: `AsyncHTTPHandler.post` calls `raise_for_status()`. + + Regression for per-attempt `guardrail_failed_to_respond` entries leaking out of + the transport helper on a request that ultimately succeeded, which made a + recovered request look like several failures plus a success.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "chunk one text"}, + {"role": "user", "content": "chunk two text"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + raise _raised_bedrock_error(400, _TOO_LARGE_MESSAGE) + return _passing_bedrock_httpx_response(f"chunk-{call_count}") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object( + guardrail, + "add_standard_logging_guardrail_information_to_request_data", + ) as mock_log, + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 3 + assert result.get("action") == "NONE" + statuses = [call.kwargs.get("guardrail_status") for call in mock_log.call_args_list] + assert statuses == ["success"] + + +@pytest.mark.asyncio +async def test_apply_guardrail_unrecoverable_failure_still_logs_once_when_client_raises(): + """Suppressing the transport helper's per-attempt logging must not swallow the only + record of a genuine failure: an unsplittable too-large request still has to produce + exactly one `guardrail_failed_to_respond` entry, not zero.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [{"role": "user", "content": "x"}] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + async def _post_side_effect(*_args, **_kwargs): + raise _raised_bedrock_error(400, _TOO_LARGE_MESSAGE) + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object( + guardrail, + "add_standard_logging_guardrail_information_to_request_data", + ) as mock_log, + ): + mock_post.side_effect = _post_side_effect + + with pytest.raises(HTTPException): + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + statuses = [call.kwargs.get("guardrail_status") for call in mock_log.call_args_list] + assert statuses == ["guardrail_failed_to_respond"] + + +@pytest.mark.asyncio +async def test_apply_guardrail_single_item_split_twice_still_yields_one_output_per_item(): + """One oversized content item that needs two levels of text bisection ends up + as four text fragments, and all four must still collapse back into exactly + ONE output entry, because they all came from one original content item. + + Downstream masking (`_apply_masking_to_messages`) walks the merged outputs by + a running index across the original, unchunked message list, so emitting more + than one entry for a single message shifts every later message's masked text + onto the wrong message and drops the surplus. Regression for fragment + grouping assuming fragments only ever arrive as adjacent sibling *pairs*, + which holds for one bisection level but not for two.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [{"role": "user", "content": "aaaa bbbb cccc dddd eeee ffff gggg hhhh"}] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + responses = [ + _too_large_validation_httpx_response(), # whole single item + _too_large_validation_httpx_response(), # first half + _passing_bedrock_httpx_response("q1"), + _passing_bedrock_httpx_response("q2"), + _too_large_validation_httpx_response(), # second half + _passing_bedrock_httpx_response("q3"), + _passing_bedrock_httpx_response("q4"), + ] + + async def _post_side_effect(*_args, **_kwargs): + return responses.pop(0) + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert mock_post.await_count == 7 + assert not responses + assert result.get("action") == "NONE" + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["q1q2q3q4"] + + +@pytest.mark.asyncio +async def test_apply_guardrail_chunk_retries_after_throttling_then_succeeds(): + """A chunk call throttled with a 429 must be retried with backoff and + eventually succeed, rather than surfacing the 429 to the caller.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "chunk one text"}, + {"role": "user", "content": "chunk two text"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + if call_count == 2: + return _throttling_httpx_response() + if call_count == 3: + return _passing_bedrock_httpx_response("chunk-1") + return _passing_bedrock_httpx_response("chunk-2") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch( + "litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails.asyncio.sleep", + new_callable=AsyncMock, + ) as mock_sleep, + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 4 + mock_sleep.assert_awaited() + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["chunk-1", "chunk-2"] + + +@pytest.mark.asyncio +async def test_apply_guardrail_chunking_logs_exactly_once_as_success(): + """A too-large 400 that is recovered by chunking must not leave behind a + 'guardrail_failed_to_respond' telemetry entry for the initial oversized + attempt: the whole logical request (1 too-large attempt + 2 chunk + attempts here) must produce exactly one standard-logging entry, and it + must reflect the eventual success, not the transient too-large failure.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "chunk one text"}, + {"role": "user", "content": "chunk two text"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + if call_count == 2: + return _passing_bedrock_httpx_response("chunk-1") + return _passing_bedrock_httpx_response("chunk-2") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object( + guardrail, + "add_standard_logging_guardrail_information_to_request_data", + ) as mock_log, + ): + mock_post.side_effect = _post_side_effect + + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 3 + mock_log.assert_called_once() + assert mock_log.call_args.kwargs["guardrail_status"] == "success" + + +@pytest.mark.asyncio +async def test_apply_guardrail_unrecoverable_failure_logs_exactly_once_as_failed(): + """A too-large error that cannot be recovered (chunking disabled by + contextual grounding) must still log exactly once, as a failure -- not be + silently dropped by the chunking telemetry consolidation.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + { + "role": "system", + "content": [{"type": "grounding_source", "text": "reference source text"}], + }, + {"role": "user", "content": "what does the source say?"}, + ] + model_response = ModelResponse() + model_response.choices = [litellm.Choices(message=litellm.Message(content="a grounded answer", role="assistant"))] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object( + guardrail, + "add_standard_logging_guardrail_information_to_request_data", + ) as mock_log, + ): + mock_post.return_value = _too_large_validation_httpx_response() + + with pytest.raises(HTTPException): + await guardrail.make_bedrock_api_request( + source="OUTPUT", + messages=messages, + response=model_response, + request_data={"model": "bedrock-nova-micro"}, + ) + + mock_post.assert_awaited_once() + mock_log.assert_called_once() + assert mock_log.call_args.kwargs["guardrail_status"] == "guardrail_failed_to_respond" + + +@pytest.mark.asyncio +async def test_apply_guardrail_chunk_merge_preserves_masking_position(): + """An earlier chunk that comes back clean (empty `outputs`) must not + shift a later chunk's masked text onto the wrong message. Regression for: + flattening outputs without positional metadata let a later chunk's PII + redaction get applied to the first message while the actual PII-bearing + message (in a later chunk) was forwarded unmasked.""" + guardrail = BedrockGuardrail( + guardrail_name="test-bedrock-guard", + guardrailIdentifier="test-guardrail", + guardrailVersion="DRAFT", + disable_exception_on_block=False, + mask_request_content=True, + ) + + request_data = { + "model": "bedrock-nova-micro", + "messages": [ + {"role": "user", "content": "clean chunk with nothing to mask"}, + {"role": "user", "content": "chunk with PII: John Doe"}, + ], + } + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + def _clean_httpx_response() -> MagicMock: + response = MagicMock() + response.status_code = 200 + response.json.return_value = {"action": "NONE", "assessments": []} + return response + + def _masked_httpx_response() -> MagicMock: + response = MagicMock() + response.status_code = 200 + response.json.return_value = { + "action": "GUARDRAIL_INTERVENED", + "outputs": [{"text": "chunk with PII: [NAME]"}], + "assessments": [ + { + "sensitiveInformationPolicy": { + "piiEntities": [{"type": "NAME", "match": "John Doe", "action": "ANONYMIZED"}] + } + } + ], + } + return response + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_validation_httpx_response() + if call_count == 2: + return _clean_httpx_response() + return _masked_httpx_response() + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + await guardrail.async_pre_call_hook( + user_api_key_dict=UserAPIKeyAuth(), + cache=DualCache(), + data=request_data, + call_type="acompletion", + ) + + assert call_count == 3 + updated_messages = request_data["messages"] + assert updated_messages[0]["content"] == "clean chunk with nothing to mask" + assert updated_messages[1]["content"] == "chunk with PII: [NAME]" + + +@pytest.mark.asyncio +async def test_apply_guardrail_accepted_content_costs_exactly_one_call(): + """Content AWS accepts must cost exactly one ApplyGuardrail call, however far over + the chunk budget it is. Chunking is a recovery path, not something every request + pays for. Regression for: bin-packing eagerly on every request, which split + conversations AWS was happy to take whole and multiplied billed calls and guardrail + latency on traffic that never had a size problem.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + item_text = "x" * (BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS // 2) + messages = [{"role": "user", "content": item_text} for _ in range(3)] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + return _passing_bedrock_httpx_response(f"batch-{call_count}") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 1 + assert result.get("action") == "NONE" + + +@pytest.mark.asyncio +async def test_apply_guardrail_small_content_makes_exactly_one_call(): + """Content that fits entirely within the budget in a single batch must + make exactly one ApplyGuardrail call -- confirms bin-packing does not + introduce an extra probe call for the common (small-request) case.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "short message one"}, + {"role": "user", "content": "short message two"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.return_value = _passing_bedrock_httpx_response("single-batch") + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + mock_post.assert_awaited_once() + assert result.get("action") == "NONE" + + +@pytest.mark.asyncio +async def test_apply_guardrail_batch_under_budget_still_rejected_falls_back_to_bisection(): + """A batch that fits the budget guess but is still rejected by AWS as too large + (a lower real per-account/region/policy cap) must fall back to bisection for that + batch only, and any other batch from the same request that AWS already accepted + must not be re-sent. + + Three half-budget items pack into two batches once the whole-payload probe is + rejected, so the sequence is probe, batch one (rejected), its two halves, batch + two.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + item_text = "x" * (BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS // 2) + messages = [ + {"role": "user", "content": item_text}, + {"role": "user", "content": item_text}, + {"role": "user", "content": item_text}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count in (1, 2): + return _too_large_validation_httpx_response() + return _passing_bedrock_httpx_response(f"chunk-{call_count}") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 5 + assert result.get("action") == "NONE" + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["chunk-3", "chunk-4", "chunk-5"] + + +def test_split_bedrock_content_single_item_splits_on_whitespace_not_mid_word(): + """A single content item whose raw character midpoint would fall inside a + word must instead split at the nearest whitespace, so neither fragment + ends or begins mid-token. Regression for the Veria AI review finding: a + denied word/PII pattern straddling a raw character-midpoint cut could be + truncated on both fragments and scan clean on each, then reassemble into + the original unmasked text -- a detection bypass.""" + text = ("a" * 20) + " " + ("b" * 30) + raw_midpoint = len(text) // 2 + assert text[raw_midpoint] == "b" + content = [BedrockContentItem(text=BedrockTextContent(text=text))] + + split_content = BedrockGuardrail._split_bedrock_content(content) + assert split_content is not None + first_half, second_half = split_content + + first_text = first_half[0]["text"]["text"] + second_text = second_half[0]["text"]["text"] + + assert first_text + second_text == text + assert first_text == ("a" * 20) + " " + assert second_text == "b" * 30 + + +def test_split_bedrock_content_single_item_with_no_whitespace_falls_back_to_midpoint(): + """A single giant token with no whitespace anywhere has no safe split + point, so the split must fall back to the raw character midpoint rather + than failing or looping.""" + text = "a" * 40 + content = [BedrockContentItem(text=BedrockTextContent(text=text))] + + split_content = BedrockGuardrail._split_bedrock_content(content) + assert split_content is not None + first_half, second_half = split_content + + first_text = first_half[0]["text"]["text"] + second_text = second_half[0]["text"]["text"] + assert first_text + second_text == text + assert len(first_text) == 20 + assert len(second_text) == 20 + + +def test_bin_pack_bedrock_content_packs_minimal_batches_within_budget(): + """Many medium items should pack into the minimal number of in-order + batches that each stay within budget, not one batch per item.""" + items = [BedrockContentItem(text=BedrockTextContent(text="x" * 30)) for _ in range(10)] + + batches = BedrockGuardrail._bin_pack_bedrock_content(items, budget=100) + + assert sum(len(batch) for batch in batches) == 10 + for batch in batches: + combined_len = sum(len(item["text"]["text"]) for item in batch) + assert combined_len <= 100 + assert len(batches) == 4 + + +def test_bin_pack_bedrock_content_oversized_single_item_becomes_its_own_batch(): + """An item whose own text already exceeds the budget must not be + pre-split here -- it becomes its own oversized batch, and only the + reactive bisection fallback (on an AWS rejection) may split it later.""" + small_item = BedrockContentItem(text=BedrockTextContent(text="short")) + oversized_item = BedrockContentItem(text=BedrockTextContent(text="x" * 200)) + items = [small_item, oversized_item, small_item] + + batches = BedrockGuardrail._bin_pack_bedrock_content(items, budget=100) + + assert batches == ((small_item,), (oversized_item,), (small_item,)) + + +def test_bin_pack_bedrock_content_empty_content_makes_exactly_one_empty_batch(): + """Empty content must still pack into exactly one (empty) batch, matching + pre-bin-packing behavior of sending the content list as-is in one call -- + bin-packing must not turn an empty request into zero ApplyGuardrail calls.""" + assert BedrockGuardrail._bin_pack_bedrock_content([], budget=100) == ((),) + + +@pytest.mark.asyncio +async def test_apply_guardrail_too_large_reported_as_429_bisects_without_burning_retries(): + """AWS reports an oversized ApplyGuardrail request as a 429 ThrottlingException + (not the documented 400 ValidationException) when the guardrail has an active + content-filter policy. That is not a transient throttle -- re-posting the same + oversized content can never succeed -- so it must bisect immediately instead of + consuming the exponential-backoff retry budget first. + + Regression for a bug found against a live guardrail: because the throttle retry + only keyed off status 429, every oversized chunk burned all + _BEDROCK_APPLY_GUARDRAIL_MAX_THROTTLE_RETRIES attempts (each a billed AWS call, + each preceded by a backoff sleep) before bisection got a chance, at every level + of the recursion.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + messages = [ + {"role": "user", "content": "chunk one text"}, + {"role": "user", "content": "chunk two text"}, + ] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + call_count = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal call_count + call_count += 1 + if call_count == 1: + return _too_large_throttling_httpx_response() + return _passing_bedrock_httpx_response(f"half-{call_count}") + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch( + "litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails.asyncio.sleep", + new_callable=AsyncMock, + ) as mock_sleep, + ): + mock_post.side_effect = _post_side_effect + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert call_count == 3 + mock_sleep.assert_not_awaited() + assert result.get("action") == "NONE" + output_texts = [o.get("text") for o in result.get("outputs") or []] + assert output_texts == ["half-2", "half-3"] + + +def test_chunk_budget_defaults_to_apply_guardrail_per_second_quota(): + """The default budget must track ApplyGuardrail's default quota of 25 text units + (about 1,000 characters each) per second. Packing to that size and posting + sequentially is what stops chunking from trading a size error for a throttle, so + this default is a deliberate match to AWS behaviour rather than an arbitrary + number.""" + assert BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS == 25_000 + assert BedrockGuardrail(guardrailIdentifier="g", guardrailVersion="DRAFT").chunk_budget_chars == 25_000 + + +@pytest.mark.asyncio +async def test_configured_chunk_budget_changes_how_content_is_packed(): + """An account with raised quotas can set a larger `chunk_budget_chars` and have it + actually drive packing once AWS has rejected a payload, spending fewer + ApplyGuardrail calls for the same content instead of being pinned to the + conservative default. + + Four 20,000-character messages are 80,000 characters total, and every call here is + preceded by the one whole-payload probe AWS rejects. At the 25,000 default only one + message fits per batch, so it is the probe plus four; at 50,000 two fit per batch, + so it is the probe plus two.""" + messages = [{"role": "user", "content": "x" * 20_000} for _ in range(4)] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + async def _calls_made_with_budget(budget: int) -> int: + guardrail = BedrockGuardrail( + guardrail_name="test-bedrock-guard", + guardrailIdentifier="test-guardrail", + guardrailVersion="DRAFT", + disable_exception_on_block=False, + chunk_budget_chars=budget, + ) + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + posted = 0 + + async def _post_side_effect(*_args, **_kwargs): + nonlocal posted + posted += 1 + if posted == 1: + return _too_large_validation_httpx_response() + return _passing_bedrock_httpx_response("ok") + + mock_post.side_effect = _post_side_effect + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + return mock_post.await_count + + assert await _calls_made_with_budget(BEDROCK_APPLY_GUARDRAIL_CHUNK_BUDGET_CHARS) == 5 + assert await _calls_made_with_budget(50_000) == 3 + + +def test_split_index_never_produces_an_empty_fragment(): + """Both fragments must be non-empty for every splittable text, so bisection always + makes progress. + + A text whose only qualifying whitespace is its final character is the dangerous + shape: taking that boundary puts the split at len(text), leaving the first fragment + identical to the input that was just rejected and the second empty. The recursion + would then resubmit the unchanged fragment forever and exhaust the stack instead of + scanning or surfacing Bedrock's error.""" + for text in ("ab ", "xxxx ", ("x" * 40) + " ", " ab", "a b", "ab", " "): + split_at = BedrockGuardrail._nearest_whitespace_split_index(text) + assert 0 < split_at < len(text), f"degenerate split {split_at} for {text!r}" + assert text[:split_at] and text[split_at:], f"empty fragment for {text!r}" + assert text[:split_at] + text[split_at:] == text + + +@pytest.mark.asyncio +async def test_oversized_single_item_with_trailing_space_gives_up_instead_of_recursing(): + """An oversized single item whose only space is trailing must bottom out and + surface Bedrock's error, not recurse forever. + + AWS is modelled the way it really behaves, rejecting every attempt, because the + danger is a fragment identical to the input that was just rejected: AWS would + reject it again, and each retry would split it into the same unchanged fragment. + A split that always shrinks the text terminates and re-raises; one that can return + the whole text raises RecursionError instead. The call-count bound is generous: + halving 41 characters down to unsplittable is a handful of attempts, nowhere near + a stack limit.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + messages = [{"role": "user", "content": ("x" * 40) + " "}] + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + ): + mock_post.side_effect = lambda *_a, **_k: _too_large_validation_httpx_response() + + with pytest.raises(HTTPException) as excinfo: + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=messages, + request_data={"model": "bedrock-nova-micro"}, + ) + + assert excinfo.value.status_code == 400 + assert mock_post.await_count < 200 + + class TestBedrockOnlyScanNewMessages: """Bedrock apply_guardrail honors only_scan_new_messages: scans only the per-session diff. @@ -3559,14 +4379,10 @@ class TestBedrockIncrementalFlagInteractions: session = {"litellm_session_id": "sess-flags-mask"} with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api: mock_api.return_value = {"action": "NONE", "output": [], "outputs": []} - await guardrail.apply_guardrail( - inputs={"texts": ["q1"]}, request_data=session, input_type="request" - ) + await guardrail.apply_guardrail(inputs={"texts": ["q1"]}, request_data=session, input_type="request") assert mock_api.call_count == 1 mock_api.reset_mock() - await guardrail.apply_guardrail( - inputs={"texts": ["q1"]}, request_data=session, input_type="request" - ) + await guardrail.apply_guardrail(inputs={"texts": ["q1"]}, request_data=session, input_type="request") assert mock_api.call_count == 1, "masking mode must re-scan every turn, exactly once" @pytest.mark.asyncio @@ -3586,9 +4402,7 @@ class TestBedrockIncrementalFlagInteractions: assert mock_api.call_count == 2, "incremental attempt + full-scan fallback" assert result["texts"] == ["MASKED q1"], "masked content must be applied" mock_api.reset_mock() - await guardrail.apply_guardrail( - inputs={"texts": ["q1"]}, request_data=session, input_type="request" - ) + await guardrail.apply_guardrail(inputs={"texts": ["q1"]}, request_data=session, input_type="request") assert mock_api.call_count == 2, "no hashes persisted, so the double scan repeats" @pytest.mark.asyncio @@ -3647,9 +4461,7 @@ async def test_moderation_hook_honors_the_mcp_event_type(mode, call_type, should } with patch.object(guardrail, "make_bedrock_api_request", new_callable=AsyncMock) as mock_api: - mock_api.return_value = MagicMock( - action="NONE", output=[], outputs=[], assessments=[] - ) + mock_api.return_value = MagicMock(action="NONE", output=[], outputs=[], assessments=[]) await guardrail.async_moderation_hook( data=data, user_api_key_dict=UserAPIKeyAuth(api_key="sk-test", user_id="u"), @@ -3707,3 +4519,146 @@ class TestScanOnlyToolResultsWithLatestRoleFilter: assert result["texts"] == ["TOOL-RESULT"] warning_text = " ".join(str(arg) for c in mock_warning.call_args_list for arg in c.args) assert "scan_only_tool_results" in warning_text + + +@pytest.mark.parametrize("separator", ["\n", "\t", "\r\n", "　"]) +def test_split_bedrock_content_splits_on_any_whitespace_not_just_space(separator): + """Regression: the midpoint split must land on any Unicode whitespace, not only an + ASCII space. + + Matching only " " left the boundary unguarded for exactly the payloads that grow + large enough to need splitting: JSON lines, source code, logs and transcripts are + newline or tab delimited. A deny-listed word sitting at the midpoint of one was cut + in half, scanned clean on both fragments, and reassembled intact, which is the + single-token detection bypass the whitespace split exists to close.""" + text = separator.join(["aaaaaaa"] * 4) + separator + "BADWORDXYZ" + separator + separator.join(["bbbbbbb"] * 4) + + first, second = BedrockGuardrail._split_bedrock_content([BedrockContentItem(text=BedrockTextContent(text=text))]) + + first_text = first[0]["text"]["text"] + second_text = second[0]["text"]["text"] + assert first_text + second_text == text, "split must stay lossless" + assert "BADWORDXYZ" in first_text or "BADWORDXYZ" in second_text, "split severed the token" + + +def test_merge_bedrock_responses_preserves_fields_the_merge_has_no_opinion_on(): + """Regression: merging must not drop AWS response fields it does not itself merge. + + The merged response used to be rebuilt from an empty dict holding only action, + outputs, assessments and usage, so actionReason, guardrailCoverage and anything AWS + adds later vanished from the guardrail_json_response the Admin UI renders, on every + ApplyGuardrail request rather than only chunked ones.""" + chunk = BedrockContentChunkResult( + response={ + "action": "NONE", + "actionReason": "No action.", + "guardrailCoverage": {"textCharacters": {"guarded": 41, "total": 41}}, + "usage": {"contentPolicyUnits": 1}, + }, + content=[BedrockContentItem(text=BedrockTextContent(text="hello"))], + fragment_group_size=1, + ) + + merged = BedrockGuardrail._merge_bedrock_guardrail_responses([chunk]) + + assert merged["actionReason"] == "No action." + assert merged["guardrailCoverage"] == {"textCharacters": {"guarded": 41, "total": 41}} + + +def test_merge_bedrock_usage_sums_counters_not_on_the_known_list(): + """Regression: usage counters were summed from a hardcoded list of six keys, so the + ones AWS also returns (contentPolicyImageUnits, the automatedReasoning pair) were + reported as absent no matter what the chunks actually used.""" + chunks = [ + BedrockContentChunkResult( + response={"action": "NONE", "usage": {"contentPolicyImageUnits": units, "contentPolicyUnits": 1}}, + content=[BedrockContentItem(text=BedrockTextContent(text="x"))], + fragment_group_size=1, + ) + for units in (3, 4) + ] + + usage = BedrockGuardrail._merge_bedrock_guardrail_responses(chunks)["usage"] + + assert usage["contentPolicyImageUnits"] == 7 + assert usage["contentPolicyUnits"] == 2 + + +@pytest.mark.asyncio +async def test_apply_guardrail_exception_inside_200_logs_failure_and_proceeds(): + """Regression: AWS can report a failure inside an HTTP 200 body via Output.__type, + and that must be logged as guardrail_failed_to_respond rather than success. + + Real AWS does this: an unrecognised operation path on bedrock-runtime answers + HTTP 200 with {"Output": {"__type": "com.amazon.coral.service#UnknownOperationException"}}. + Consolidating telemetry had replaced the derived status with a hardcoded "success", + which reported a failed scan as a clean one. The request itself still proceeds, which + is the behaviour of the code before chunking existed.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + exception_response = MagicMock() + exception_response.status_code = 200 + exception_response.json.return_value = { + "Output": {"__type": "com.amazon.coral.service#UnknownOperationException"}, + "Version": "1.0", + } + exception_response.text = json.dumps(exception_response.json.return_value) + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object(guardrail, "add_standard_logging_guardrail_information_to_request_data") as mock_log, + ): + mock_post.return_value = exception_response + + result = await guardrail.make_bedrock_api_request( + source="INPUT", + messages=[{"role": "user", "content": "hello"}], + request_data={"model": "bedrock-nova-micro"}, + ) + + assert result is not None, "the request proceeds, as it did before chunking existed" + mock_log.assert_called_once() + assert mock_log.call_args.kwargs["guardrail_status"] == "guardrail_failed_to_respond" + + +@pytest.mark.asyncio +async def test_apply_guardrail_failure_logs_a_dict_not_a_bare_string(): + """Regression: the consolidated failure logger must log guardrail_json_response as a + dict, the shape the pre-chunking code and the InvokeGuardrailChecks path both use. + + Consolidating telemetry had changed it to a bare string on the ApplyGuardrail path + only, which breaks any consumer that reads it as a mapping and leaves the two paths + in this file inconsistent.""" + guardrail = _bedrock_guardrail_for_chunk_tests() + + mock_credentials = MagicMock() + mock_credentials.access_key = "k" + mock_credentials.secret_key = "s" + mock_credentials.token = None + + with ( + patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post, + patch.object(guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1")), + patch.object(guardrail, "_prepare_request", return_value=MagicMock()), + patch.object(guardrail, "add_standard_logging_guardrail_information_to_request_data") as mock_log, + ): + mock_post.side_effect = _raised_bedrock_error(400, "guardrailIdentifier is not valid") + + with pytest.raises(HTTPException): + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=[{"role": "user", "content": "hello"}], + request_data={"model": "bedrock-nova-micro"}, + ) + + mock_log.assert_called_once() + logged = mock_log.call_args.kwargs["guardrail_json_response"] + assert isinstance(logged, dict), f"expected a dict, got {type(logged).__name__}" + assert "error" in logged diff --git a/tests/test_litellm/proxy/guardrails/test_init_guardrails.py b/tests/test_litellm/proxy/guardrails/test_init_guardrails.py index 71e775842e3..8edb56ce25e 100644 --- a/tests/test_litellm/proxy/guardrails/test_init_guardrails.py +++ b/tests/test_litellm/proxy/guardrails/test_init_guardrails.py @@ -38,6 +38,41 @@ def test_initialize_presidio_guardrail(): assert result["litellm_params"].mode == "pre_call" +def test_initialize_bedrock_forwards_chunk_budget_chars(): + """Regression: `chunk_budget_chars` set in config.yaml must reach the guardrail. + + The field lives on BedrockGuardrailConfigModel, so LitellmParams parsed it and the + Admin UI rendered it, but initialize_bedrock enumerates its kwargs explicitly and + dropped it. The setting validated and then silently did nothing. Asserting through + initialize_guardrail rather than the constructor is the point: constructing + BedrockGuardrail directly bypasses the only path a user can actually reach. + """ + import litellm + from litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails import BedrockGuardrail + + test_guardrail = { + "guardrail_name": "test_bedrock_chunk_budget", + "litellm_params": { + "guardrail": SupportedGuardrailIntegrations.BEDROCK.value, + "mode": "pre_call", + "guardrailIdentifier": "test-guardrail", + "guardrailVersion": "DRAFT", + "chunk_budget_chars": 60_000, + }, + } + + guardrail_handler = InMemoryGuardrailHandler() + guardrail_handler.initialize_guardrail(guardrail=test_guardrail) + + initialized = [ + callback + for callback in litellm.callbacks + if isinstance(callback, BedrockGuardrail) and callback.guardrail_name == "test_bedrock_chunk_budget" + ] + assert initialized, "bedrock guardrail was not registered as a callback" + assert initialized[-1].chunk_budget_chars == 60_000 + + def test_initialize_guardrail_preserves_guardrail_info(): """ Regression (LIT-2529): initialize_guardrail must carry guardrail_info into the From f05d468769e26879ec10f3d4ec8367b0fa503cd8 Mon Sep 17 00:00:00 2001 From: "devin-ai-integration[bot]" <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Fri, 7 Aug 2026 19:57:26 -0700 Subject: [PATCH 027/120] fix(responses): forward allowed_openai_params through the chat completions bridge (#35885) Resolves #35878 Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- litellm/responses/main.py | 1 + .../test_responses_api_bridge_flag.py | 39 +++++++++++++++++++ 2 files changed, 40 insertions(+) diff --git a/litellm/responses/main.py b/litellm/responses/main.py index f923702119c..7b02c1b8023 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -1064,6 +1064,7 @@ def responses( extra_headers=extra_headers, extra_body=extra_body, timeout=timeout if timeout is not None else request_timeout, + allowed_openai_params=allowed_openai_params, **kwargs, ) diff --git a/tests/test_litellm/responses/test_responses_api_bridge_flag.py b/tests/test_litellm/responses/test_responses_api_bridge_flag.py index 463af6562f1..f94c31831bf 100644 --- a/tests/test_litellm/responses/test_responses_api_bridge_flag.py +++ b/tests/test_litellm/responses/test_responses_api_bridge_flag.py @@ -16,6 +16,7 @@ sys.path.insert( import litellm from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse +from litellm.types.utils import Choices, Message, ModelResponse, Usage class TestUseResponsesApiBridgeFlag: @@ -130,6 +131,44 @@ class TestUseResponsesApiBridgeFlag: mock_bridge_handler.assert_called_once() + @patch("litellm.acompletion") + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + async def test_allowed_openai_params_forwarded_through_bridge( + self, mock_get_config, mock_acompletion + ): + """allowed_openai_params is a named param of responses(), so it must be + explicitly forwarded to the bridge; otherwise litellm.acompletion raises + UnsupportedParamsError for params the caller explicitly allowed.""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_acompletion.return_value = ModelResponse( + id="chatcmpl_123", + model="openai/my-custom-model", + choices=[ + Choices( + index=0, + message=Message(role="assistant", content="Answer"), + finish_reason="stop", + ) + ], + usage=Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15), + ) + + await litellm.aresponses( + model="openai/my-custom-model", + input="Hello", + use_chat_completions_api=True, + allowed_openai_params=["reasoning_effort"], + reasoning={"effort": "high"}, + litellm_logging_obj=MagicMock(), + ) + + mock_acompletion.assert_called_once() + assert mock_acompletion.call_args.kwargs.get("allowed_openai_params") == [ + "reasoning_effort" + ] + @patch("litellm.responses.file_search.emulated_handler._call_aresponses") @patch( "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" From 4de7a7443ac5506f422efb36e96387aaae185607 Mon Sep 17 00:00:00 2001 From: mateo Date: Fri, 7 Aug 2026 19:27:50 +0000 Subject: [PATCH 028/120] refactor(types): declare mirrored pricing fields on ModelInfo Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- litellm/types/router.py | 18 +++--- litellm/types/utils.py | 21 +++++-- tests/test_litellm/types/test_router.py | 73 +++++++++++++++++++++++++ 3 files changed, 96 insertions(+), 16 deletions(-) create mode 100644 tests/test_litellm/types/test_router.py diff --git a/litellm/types/router.py b/litellm/types/router.py index 8b4b547bdcc..487d95cd762 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -17,7 +17,12 @@ from .completion import CompletionRequest from .embedding import EmbeddingRequest from .llms.openai import OpenAIFileObject from .search import SearchProvider -from .utils import CustomPricingLiteLLMParams, ModelResponse, StandardLoggingRoutingDecision +from .utils import ( + CustomPricingLiteLLMParams, + MirroredPricingParams, + ModelResponse, + StandardLoggingRoutingDecision, +) class ConfigurableClientsideParamsCustomAuth(TypedDict): @@ -122,7 +127,7 @@ class UpdateRouterConfig(BaseModel): model_config = ConfigDict(protected_namespaces=()) -class ModelInfo(BaseModel): +class ModelInfo(MirroredPricingParams): id: str | None # Allow id to be optional on input, but it will always be present as a str in the model instance db_model: bool = False # used for proxy - to separate models which are stored in the db vs. config. updated_at: datetime.datetime | None = None @@ -424,14 +429,7 @@ class DeploymentTypedDict(TypedDict, total=False): model_info: dict -SPECIAL_MODEL_INFO_PARAMS = [ - "input_cost_per_token", - "output_cost_per_token", - "input_cost_per_character", - "output_cost_per_character", - "cache_read_input_token_cost", - "cache_creation_input_token_cost", -] +SPECIAL_MODEL_INFO_PARAMS: Final = tuple(MirroredPricingParams.model_fields) class Deployment(BaseModel): diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 35d4250782f..18cf9461648 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -3245,10 +3245,23 @@ class StandardCallbackDynamicParams(TypedDict, total=False): litellm_disabled_callbacks: list[str] | None -class CustomPricingLiteLLMParams(BaseModel): - ## CUSTOM PRICING ## +class MirroredPricingParams(BaseModel): + """Pricing overrides that ``Deployment.__init__`` mirrors from ``litellm_params`` + onto ``model_info``, so both blobs hold the same rate. + + Declared once and inherited by both sides of that mirror, so the two can't drift. + """ + input_cost_per_token: float | None = None output_cost_per_token: float | None = None + input_cost_per_character: float | None = None + output_cost_per_character: float | None = None + cache_read_input_token_cost: float | None = None + cache_creation_input_token_cost: float | None = None + + +class CustomPricingLiteLLMParams(MirroredPricingParams): + ## CUSTOM PRICING ## input_cost_per_second: float | None = None output_cost_per_second: float | None = None output_cost_per_second_1080p: float | None = None @@ -3259,7 +3272,6 @@ class CustomPricingLiteLLMParams(BaseModel): # This allows any model_info parameter to be set in litellm_params input_cost_per_token_flex: float | None = None input_cost_per_token_priority: float | None = None - cache_creation_input_token_cost: float | None = None cache_creation_input_token_cost_above_1hr: float | None = None cache_creation_input_token_cost_above_200k_tokens: float | None = None cache_creation_input_token_cost_above_272k_tokens: float | None = None @@ -3268,7 +3280,6 @@ class CustomPricingLiteLLMParams(BaseModel): cache_creation_input_token_cost_flex: float | None = None cache_creation_input_token_cost_priority: float | None = None cache_creation_input_audio_token_cost: float | None = None - cache_read_input_token_cost: float | None = None cache_read_input_token_cost_flex: float | None = None cache_read_input_token_cost_priority: float | None = None cache_read_input_token_cost_above_200k_tokens: float | None = None @@ -3276,7 +3287,6 @@ class CustomPricingLiteLLMParams(BaseModel): cache_read_input_token_cost_above_272k_tokens_priority: float | None = None cache_read_input_token_cost_above_272k_tokens_flex: float | None = None cache_read_input_audio_token_cost: float | None = None - input_cost_per_character: float | None = None input_cost_per_character_above_128k_tokens: float | None = None input_cost_per_audio_token: float | None = None input_cost_per_token_cache_hit: float | None = None @@ -3298,7 +3308,6 @@ class CustomPricingLiteLLMParams(BaseModel): output_cost_per_token_batches: float | None = None output_cost_per_token_flex: float | None = None output_cost_per_token_priority: float | None = None - output_cost_per_character: float | None = None output_cost_per_audio_token: float | None = None output_cost_per_token_above_128k_tokens: float | None = None output_cost_per_token_above_200k_tokens: float | None = None diff --git a/tests/test_litellm/types/test_router.py b/tests/test_litellm/types/test_router.py new file mode 100644 index 00000000000..1b66863a82f --- /dev/null +++ b/tests/test_litellm/types/test_router.py @@ -0,0 +1,73 @@ +import pytest + +from litellm.types.router import ( + SPECIAL_MODEL_INFO_PARAMS, + Deployment, + LiteLLM_Params, + ModelInfo, +) +from litellm.types.utils import CustomPricingLiteLLMParams, MirroredPricingParams + + +def test_model_info_declares_mirrored_pricing_fields(): + """The pricing keys Deployment mirrors onto model_info must be declared fields, not + extras that only survive because ModelInfo sets extra="allow".""" + for field in SPECIAL_MODEL_INFO_PARAMS: + assert field in ModelInfo.model_fields + + info = ModelInfo(id="x", input_cost_per_token=1e-06) + assert info.__pydantic_extra__ == {} + assert info.input_cost_per_token == 1e-06 + + +def test_special_model_info_params_cannot_drift_from_the_mirror(): + assert SPECIAL_MODEL_INFO_PARAMS == tuple(MirroredPricingParams.model_fields) + assert set(SPECIAL_MODEL_INFO_PARAMS) <= set(CustomPricingLiteLLMParams.model_fields) + assert set(SPECIAL_MODEL_INFO_PARAMS) <= set(LiteLLM_Params.model_fields) + + +def test_custom_pricing_params_keeps_every_field_it_had(): + """The mirrored fields moved to a base class; none of them may go missing from + CustomPricingLiteLLMParams, whose model_fields drive custom-pricing detection.""" + for field in ( + "input_cost_per_token", + "output_cost_per_token", + "input_cost_per_character", + "output_cost_per_character", + "cache_read_input_token_cost", + "cache_creation_input_token_cost", + "input_cost_per_second", + "cache_read_input_token_cost_flex", + "input_cost_per_character_above_128k_tokens", + "output_cost_per_audio_token", + ): + assert field in CustomPricingLiteLLMParams.model_fields + + +@pytest.mark.parametrize("field", SPECIAL_MODEL_INFO_PARAMS) +def test_deployment_mirrors_pricing_from_litellm_params_onto_model_info(field): + deployment = Deployment( + model_name="my-model", + litellm_params=LiteLLM_Params(model="gpt-4o", **{field: 3e-06}), + ) + assert getattr(deployment.model_info, field) == 3e-06 + assert deployment.model_info.model_dump(exclude_none=True)[field] == 3e-06 + + +def test_unset_pricing_is_still_absent_from_dumps(): + """/model/info responses and DB writes dump model_info with exclude_none=True, so + declaring the pricing fields must not start emitting ~6 null keys per deployment.""" + dumped = ModelInfo(id="x").model_dump(exclude_none=True) + assert [field for field in SPECIAL_MODEL_INFO_PARAMS if field in dumped] == [] + + +def test_pricing_strings_are_coerced_to_float(): + """Cost values arrive from the DB and the Admin UI as strings; they must land as + floats so cost calculation doesn't multiply a str.""" + info = ModelInfo(id="x", output_cost_per_token="0.000002") + assert info.output_cost_per_token == 2e-06 + + +def test_invalid_pricing_is_rejected(): + with pytest.raises(ValueError): + ModelInfo(id="x", input_cost_per_token="free") From 24ac999cf7f74d7b7495d07f7f7783d691877e50 Mon Sep 17 00:00:00 2001 From: mateo Date: Fri, 7 Aug 2026 20:06:41 +0000 Subject: [PATCH 029/120] fix(types): drop Final on SPECIAL_MODEL_INFO_PARAMS for star-import rebinding Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- litellm/types/router.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/types/router.py b/litellm/types/router.py index 487d95cd762..4280da08cbb 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -429,7 +429,7 @@ class DeploymentTypedDict(TypedDict, total=False): model_info: dict -SPECIAL_MODEL_INFO_PARAMS: Final = tuple(MirroredPricingParams.model_fields) +SPECIAL_MODEL_INFO_PARAMS = tuple(MirroredPricingParams.model_fields) class Deployment(BaseModel): From f668c1060981cd7698fb5946ab2bc708dc0f59a6 Mon Sep 17 00:00:00 2001 From: mateo Date: Fri, 7 Aug 2026 20:15:39 +0000 Subject: [PATCH 030/120] chore(ui): regenerate dashboard api types for ModelInfo pricing fields Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- ui/litellm-dashboard/src/lib/http/schema.d.ts | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index 8e950874a10..a75c23da1cf 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -35294,6 +35294,10 @@ export interface components { base_model?: string | null; /** Blocked */ blocked?: boolean | null; + /** Cache Creation Input Token Cost */ + cache_creation_input_token_cost?: number | null; + /** Cache Read Input Token Cost */ + cache_read_input_token_cost?: number | null; /** Created At */ created_at?: string | null; /** Created By */ @@ -35305,6 +35309,14 @@ export interface components { db_model: boolean; /** Id */ id: string | null; + /** Input Cost Per Character */ + input_cost_per_character?: number | null; + /** Input Cost Per Token */ + input_cost_per_token?: number | null; + /** Output Cost Per Character */ + output_cost_per_character?: number | null; + /** Output Cost Per Token */ + output_cost_per_token?: number | null; /** Team Id */ team_id?: string | null; /** Team Public Model Name */ From ede84eee15ab0703598f87a8fce2612e406d49e9 Mon Sep 17 00:00:00 2001 From: mateo Date: Sat, 8 Aug 2026 03:25:38 +0000 Subject: [PATCH 031/120] ci: give the remaining pull_request workflows a concurrency group Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- .github/workflows/check-schema-sync.yml | 4 ++++ .github/workflows/conventional-commits.yml | 4 ++++ .github/workflows/guard-fork-dependencies.yml | 4 ++++ .github/workflows/helm_unit_test.yml | 4 ++++ .github/workflows/test-linting.yml | 4 ++++ .github/workflows/test-litellm-ui-build.yml | 4 ++++ .github/workflows/test-litellm-ui-lint.yml | 4 ++++ .github/workflows/test-mcp.yml | 4 ++++ .github/workflows/test-model-map.yaml | 4 ++++ 9 files changed, 36 insertions(+) diff --git a/.github/workflows/check-schema-sync.yml b/.github/workflows/check-schema-sync.yml index 0e5e2804e60..a4e78d2c44c 100644 --- a/.github/workflows/check-schema-sync.yml +++ b/.github/workflows/check-schema-sync.yml @@ -10,6 +10,10 @@ on: permissions: contents: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: check-sync: name: Verify schema.prisma copies match root diff --git a/.github/workflows/conventional-commits.yml b/.github/workflows/conventional-commits.yml index 69ade24d028..eb9eb69f8b6 100644 --- a/.github/workflows/conventional-commits.yml +++ b/.github/workflows/conventional-commits.yml @@ -14,6 +14,10 @@ on: permissions: pull-requests: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: lint-pr-title: name: Validate PR title diff --git a/.github/workflows/guard-fork-dependencies.yml b/.github/workflows/guard-fork-dependencies.yml index f4cbdd63cdf..6b366da78d4 100644 --- a/.github/workflows/guard-fork-dependencies.yml +++ b/.github/workflows/guard-fork-dependencies.yml @@ -15,6 +15,10 @@ on: permissions: {} +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: guard: name: Block fork dependency changes diff --git a/.github/workflows/helm_unit_test.yml b/.github/workflows/helm_unit_test.yml index a44d412c781..f95848945a0 100644 --- a/.github/workflows/helm_unit_test.yml +++ b/.github/workflows/helm_unit_test.yml @@ -9,6 +9,10 @@ on: permissions: contents: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: unit-test: runs-on: ubuntu-latest diff --git a/.github/workflows/test-linting.yml b/.github/workflows/test-linting.yml index 5e333f2a3ca..3db3fb07a94 100644 --- a/.github/workflows/test-linting.yml +++ b/.github/workflows/test-linting.yml @@ -11,6 +11,10 @@ on: permissions: contents: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: lint: runs-on: ubuntu-latest diff --git a/.github/workflows/test-litellm-ui-build.yml b/.github/workflows/test-litellm-ui-build.yml index 39f4bc1428a..618b0195b5a 100644 --- a/.github/workflows/test-litellm-ui-build.yml +++ b/.github/workflows/test-litellm-ui-build.yml @@ -10,6 +10,10 @@ on: - litellm_oss_staging - "litellm_**" +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: build-ui: runs-on: ubuntu-latest diff --git a/.github/workflows/test-litellm-ui-lint.yml b/.github/workflows/test-litellm-ui-lint.yml index ecc739a87e2..e03d89ee26a 100644 --- a/.github/workflows/test-litellm-ui-lint.yml +++ b/.github/workflows/test-litellm-ui-lint.yml @@ -10,6 +10,10 @@ on: - litellm_oss_staging - "litellm_**" +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: frontend-lint: runs-on: ubuntu-latest diff --git a/.github/workflows/test-mcp.yml b/.github/workflows/test-mcp.yml index a5a4e722133..05cc13d0af2 100644 --- a/.github/workflows/test-mcp.yml +++ b/.github/workflows/test-mcp.yml @@ -11,6 +11,10 @@ on: permissions: contents: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: test: runs-on: ubuntu-latest diff --git a/.github/workflows/test-model-map.yaml b/.github/workflows/test-model-map.yaml index cf4b0eb21a1..c2770e5da4c 100644 --- a/.github/workflows/test-model-map.yaml +++ b/.github/workflows/test-model-map.yaml @@ -11,6 +11,10 @@ on: permissions: contents: read +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + jobs: validate-model-prices-json: runs-on: ubuntu-latest From 557d14cc71f7a0c1b44fa36f20b0da4cf9330e47 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 21:27:00 -0700 Subject: [PATCH 032/120] fix(lint): make strict-gate noqas survive base ruff and flag stale ones --- litellm/utils.py | 2 +- ruff-strict-budget.json | 2 +- ruff-strict.toml | 8 ++++++++ ruff.toml | 4 +++- 4 files changed, 13 insertions(+), 3 deletions(-) diff --git a/litellm/utils.py b/litellm/utils.py index cdf1cc3cf23..911de83b785 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -5769,7 +5769,7 @@ def json_schema_type(python_type_name: str): return python_to_json_schema_types.get(python_type_name, "string") -def function_to_dict(input_function) -> dict: # noqa: C901 +def function_to_dict(input_function) -> dict: """Using type hints and numpy-styled docstring, produce a dictionary usable for OpenAI function calling diff --git a/ruff-strict-budget.json b/ruff-strict-budget.json index 8ff4bfb36c0..a8af4eabb3f 100644 --- a/ruff-strict-budget.json +++ b/ruff-strict-budget.json @@ -252,7 +252,7 @@ "limit": 67 }, "RUF100": { - "limit": 100 + "limit": 0 }, "S110": { "limit": 218 diff --git a/ruff-strict.toml b/ruff-strict.toml index 01faf04805f..d20fb2e4d7d 100644 --- a/ruff-strict.toml +++ b/ruff-strict.toml @@ -4,6 +4,14 @@ extend = "ruff.toml" preview = true select = ["ANN", "ASYNC230", "B004", "B006", "B008", "B009", "B010", "B018", "B019", "B021", "B026", "B033", "BLE", "C401", "C404", "C405", "C408", "C414", "C419", "C901", "D419", "DTZ001", "DTZ003", "DTZ005", "DTZ006", "DTZ007", "DTZ011", "EXE001", "EXE002", "F401", "FURB136", "FURB168", "FURB188", "I001", "LOG015", "N999", "PERF102", "PERF401", "PERF402", "PERF403", "PIE790", "PIE800", "PIE804", "PIE810", "PLC0206", "PLC0208", "PLC0414", "PLR0124", "PLR0206", "PLR0402", "PLR1704", "PLR1711", "PLR1714", "PLR1730", "PLR2044", "PLW0127", "PLW0133", "PLW0602", "PLW0603", "PLW1508", "PLW1510", "PYI030", "PYI036", "PYI041", "PYI064", "RET501", "RET504", "RUF010", "RUF012", "RUF015", "RUF019", "RUF022", "RUF023", "RUF046", "RUF051", "RUF059", "RUF100", "S110", "S112", "SIM101", "SIM102", "SIM103", "SIM113", "SIM114", "SIM115", "SIM117", "SIM118", "SIM201", "SIM210", "SIM211", "SIM222", "SIM401", "TC004", "TC005", "TID251", "TRY002", "TRY004", "TRY201", "TRY203", "TRY300", "UP006", "UP007", "UP008", "UP012", "UP018", "UP024", "UP028", "UP031", "UP032", "UP034", "UP035", "UP036", "UP037", "UP045"] extend-select = [] +# Overrides the inherited list: rules this gate enforces itself must NOT be external here, +# so this config's RUF100 flags their stale `# noqa` directives. What remains external is +# only what other tooling enforces: upstream litellm's ruff config, plus the base ruff.toml +# rules (T20, E7xx/F5xx/F8xx) this select list doesn't re-enable. +external = [ + "T20", "E731", "F541", "F841", + "PLC0415", "E402", "BLE001", "ARG002", "S102", "S324", "S606", "D401", "F403", "F405", +] [lint.mccabe] max-complexity = 15 diff --git a/ruff.toml b/ruff.toml index 095e3e24c52..00743e0f38a 100644 --- a/ruff.toml +++ b/ruff.toml @@ -6,7 +6,9 @@ lint.extend-select = ["T20", "PGH004", "RUF008", "RUF009", "RUF100"] # litellm's own ruff config both rely on suppressions this config can't see. lint.external = [ # Enforced by the strict-rule gate (scripts/ruff_strict_gate.py + ruff-strict.toml) - "C901", "TID251", + "ANN", "ASYNC230", "B", "C", "D419", "DTZ", "EXE", "FURB", "I001", "LOG015", "N999", "PERF", + "PIE", "PL", "PYI", "RET", "RUF010", "RUF012", "RUF015", "RUF019", "RUF022", "RUF023", + "RUF046", "RUF051", "RUF059", "S110", "S112", "SIM", "TC", "TID251", "TRY", "UP", # Enforced by upstream litellm's ruff config, but not run in this repo's CI "PLC0415", "E402", "BLE001", "ARG002", "S102", "S324", "S606", "D401", "F403", "F405", ] From c3536c29a0ebb8e5ad63663d6e0798f80eb5ac9c Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 21:38:53 -0700 Subject: [PATCH 033/120] fix(lint): cover every base-owned ruff rule in the strict gate's external list --- ruff-strict.toml | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/ruff-strict.toml b/ruff-strict.toml index d20fb2e4d7d..974c49c787b 100644 --- a/ruff-strict.toml +++ b/ruff-strict.toml @@ -6,10 +6,13 @@ select = ["ANN", "ASYNC230", "B004", "B006", "B008", "B009", "B010", "B018", "B0 extend-select = [] # Overrides the inherited list: rules this gate enforces itself must NOT be external here, # so this config's RUF100 flags their stale `# noqa` directives. What remains external is -# only what other tooling enforces: upstream litellm's ruff config, plus the base ruff.toml -# rules (T20, E7xx/F5xx/F8xx) this select list doesn't re-enable. +# only what other tooling enforces: every base ruff.toml rule this select list doesn't +# re-enable (all of the default E/F families plus T20/PGH004/RUF008/RUF009, minus the +# strict-selected F401 and RUF100; F4 is split out so stale F401 noqas stay detectable), +# plus upstream litellm's ruff config. external = [ - "T20", "E731", "F541", "F841", + "T20", "PGH004", "RUF008", "RUF009", "E4", "E7", "E9", + "F402", "F404", "F406", "F407", "F5", "F6", "F7", "F8", "F9", "PLC0415", "E402", "BLE001", "ARG002", "S102", "S324", "S606", "D401", "F403", "F405", ] From 7bffbbd1f2132a00206b6864ddd102cfade9a94f Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 23:00:50 -0700 Subject: [PATCH 034/120] refactor(vertex_ai): drop unreachable post-path status checks in batches handler HTTPHandler.post and AsyncHTTPHandler.post call raise_for_status before returning, so the status_code != 200 branches after the create and cancel POSTs could never run. Non-2xx already surfaces as httpx.HTTPStatusError from inside the client. The checks after GETs stay: the get helpers return without raising. Tests that faked a non-raising POST response are replaced by HTTPStatusError propagation coverage. --- litellm/llms/vertex_ai/batches/handler.py | 22 +---- .../llms/vertex_ai/batches/test_handler.py | 92 +++---------------- 2 files changed, 16 insertions(+), 98 deletions(-) diff --git a/litellm/llms/vertex_ai/batches/handler.py b/litellm/llms/vertex_ai/batches/handler.py index 8e36c2a0faa..6481b67fad7 100644 --- a/litellm/llms/vertex_ai/batches/handler.py +++ b/litellm/llms/vertex_ai/batches/handler.py @@ -98,11 +98,6 @@ class VertexAIBatchPrediction(VertexLLM): data=json.dumps(vertex_batch_request), ) - if response.status_code != 200: - raise VertexAIError( - status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" - ) - _json_response: Final = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( response=_json_response @@ -132,10 +127,6 @@ class VertexAIBatchPrediction(VertexLLM): error_body[:1000], ) raise - if response.status_code != 200: - raise VertexAIError( - status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" - ) _json_response: Final = response.json() vertex_batch_response = VertexAIBatchTransformation.transform_vertex_ai_batch_response_to_openai_batch_response( @@ -473,7 +464,7 @@ class VertexAIBatchPrediction(VertexLLM): sync_handler: Final = _get_httpx_client() try: - response: Final = sync_handler.post( + sync_handler.post( url=api_base, headers=headers, data=json.dumps({}), @@ -487,11 +478,6 @@ class VertexAIBatchPrediction(VertexLLM): ) raise - if response.status_code != 200: - raise VertexAIError( - status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" - ) - # HTTPHandler.get() does not accept a timeout parameter retrieve_response: Final = sync_handler.get( url=retrieve_api_base, @@ -525,7 +511,7 @@ class VertexAIBatchPrediction(VertexLLM): llm_provider=litellm.LlmProviders.VERTEX_AI, ) try: - response: Final = await client.post( + await client.post( url=api_base, headers=headers, data=json.dumps({}), @@ -538,10 +524,6 @@ class VertexAIBatchPrediction(VertexLLM): e.response.text[:1000], ) raise - if response.status_code != 200: - raise VertexAIError( - status_code=response.status_code, message=f"Error: {response.status_code} {response.text}" - ) # AsyncHTTPHandler.get() does not accept a timeout parameter retrieve_response: Final = await client.get( diff --git a/tests/test_litellm/llms/vertex_ai/batches/test_handler.py b/tests/test_litellm/llms/vertex_ai/batches/test_handler.py index b9fb5dfe3c5..9535bf17411 100644 --- a/tests/test_litellm/llms/vertex_ai/batches/test_handler.py +++ b/tests/test_litellm/llms/vertex_ai/batches/test_handler.py @@ -5,8 +5,10 @@ The handler is HTTP/auth glue around the (separately-tested) pure ``VertexAIBatchTransformation``. Each public method (create / retrieve / list / cancel) resolves a Vertex access token + URL, branches on ``_is_async`` (returning the coroutine in the async case, doing the sync HTTP call otherwise), -checks the HTTP status, and parses the JSON into ``LiteLLMBatch`` (or the OpenAI -list shape). +and parses the JSON into ``LiteLLMBatch`` (or the OpenAI list shape). POST-backed +calls rely on the client's ``raise_for_status`` (non-2xx surfaces as +``httpx.HTTPStatusError``); GET-backed calls return without raising, so the +handler checks their status codes itself. We mock only true I/O / auth seams: * ``_ensure_access_token`` - the Vertex credential seam. Returns a fixed @@ -20,7 +22,7 @@ We mock only true I/O / auth seams: what URL/headers/body, and that the response is parsed into the litellm type. Sibling seams are asserted NOT called where relevant. -The ``_is_async`` branch, status-code error paths, and the cancel +The ``_is_async`` branch, the error paths, and the cancel retrieve-after-cancel sequencing run for real. """ @@ -179,13 +181,19 @@ def test_create_batch_async_returns_coroutine_and_uses_async_client(): sync_client.post.assert_not_called() -def test_create_batch_sync_non_200_raises(): +def test_create_batch_sync_httpstatuserror_propagates(): + """``HTTPHandler.post`` raises for non-2xx via ``raise_for_status``; the + sync create path must surface that error, not swallow it.""" h = _make_handler() client = MagicMock() - client.post.return_value = _http_response(status_code=500) + request = httpx.Request("POST", "https://x/batchPredictionJobs") + err_response = httpx.Response(status_code=500, request=request, text="boom") + client.post.side_effect = httpx.HTTPStatusError( + "boom", request=request, response=err_response + ) with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(VertexAIError, match="Error: 500") as exc_info: + with pytest.raises(httpx.HTTPStatusError): h.create_batch( _is_async=False, create_batch_data=CREATE_DATA, @@ -197,9 +205,6 @@ def test_create_batch_sync_non_200_raises(): max_retries=None, ) - assert exc_info.value.status_code == 500 - assert "error text" in str(exc_info.value) - def test_create_batch_input_file_id_without_model_raises_400_before_post(): """A gs:// uri with no publishers//models/ path is a 400, not a bare 500.""" @@ -224,32 +229,6 @@ def test_create_batch_input_file_id_without_model_raises_400_before_post(): client.post.assert_not_called() -def test_create_batch_async_non_200_raises(): - h = _make_handler() - async_client = MagicMock() - async_client.post = AsyncMock(return_value=_http_response(status_code=403)) - - with ( - patch(f"{HMOD}._get_httpx_client", return_value=MagicMock()), - patch(f"{HMOD}.get_async_httpx_client", return_value=async_client), - ): - coro = h.create_batch( - _is_async=True, - create_batch_data=CREATE_DATA, - api_base=None, - vertex_credentials=None, - vertex_project=PROJECT, - vertex_location=LOCATION, - timeout=600.0, - max_retries=None, - ) - with pytest.raises(VertexAIError, match="Error: 403") as exc_info: - _run(coro) - - assert exc_info.value.status_code == 403 - assert "error text" in str(exc_info.value) - - # =========================================================================== # # retrieve_batch # =========================================================================== # @@ -554,27 +533,6 @@ def test_cancel_batch_async_returns_coroutine_posts_then_retrieves(): assert post_kwargs["url"].endswith(":cancel") -def test_cancel_batch_sync_cancel_post_non_200_raises(): - h = _make_handler() - client = MagicMock() - client.post.return_value = _http_response(status_code=500) - - with patch(f"{HMOD}._get_httpx_client", return_value=client): - with pytest.raises(VertexAIError, match="Error: 500"): - h.cancel_batch( - _is_async=False, - batch_id=BATCH_ID, - api_base=None, - vertex_credentials=None, - vertex_project=PROJECT, - vertex_location=LOCATION, - timeout=600.0, - max_retries=None, - ) - # cancel POST failed -> retrieve GET must never fire - client.get.assert_not_called() - - def test_cancel_batch_sync_retrieve_non_200_raises(): h = _make_handler() client = MagicMock() @@ -791,28 +749,6 @@ def test_async_cancel_batch_httpstatuserror_and_retrieve_non_200(): _run(coro) async_client.get.assert_not_awaited() - # (a2) cancel POST returns a plain non-200 (no exception) -> raises - async_client_post500 = MagicMock() - async_client_post500.post = AsyncMock(return_value=_http_response(status_code=500)) - async_client_post500.get = AsyncMock() - with ( - patch(f"{HMOD}._get_httpx_client", return_value=MagicMock()), - patch(f"{HMOD}.get_async_httpx_client", return_value=async_client_post500), - ): - coro = h.cancel_batch( - _is_async=True, - batch_id=BATCH_ID, - api_base=None, - vertex_credentials=None, - vertex_project=PROJECT, - vertex_location=LOCATION, - timeout=600.0, - max_retries=None, - ) - with pytest.raises(VertexAIError, match="Error: 500"): - _run(coro) - async_client_post500.get.assert_not_awaited() - # (b) retrieve-after-cancel returns non-200 async_client2 = MagicMock() async_client2.post = AsyncMock(return_value=_http_response(json_body={})) From f304b7b19faa9743636965c79a9709fd5bd2b2d0 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 23:10:33 -0700 Subject: [PATCH 035/120] refactor(lint): graduate the 35 zero-violation strict rules into ruff.toml Every strict-gate rule whose budget ceiling was already 0 moves into the base config's lint.extend-select, so editors and ruff check --fix surface the diagnostics directly and the budget file shrinks to rules with real debt. Graduates stay in ruff-strict.toml's select so the strict RUF100 pass keeps policing their stale noqa directives, and base external entries they made redundant (FURB, I001, RUF010, RUF022, RUF023, RUF051) are dropped so base RUF100 polices those directly. UP037 had two violations hidden behind a star import; importing Literal explicitly fixes them so UP037 can graduate too. New drift tests pin the invariants: every strict-selected rule is budgeted or hard-failed by base, every base-owned rule stays visible to exactly one RUF100 pass, and graduated rules fail the normal ruff run. --- .../internal_user_endpoints.py | 2 +- ruff-strict-budget.json | 105 --------- ruff.toml | 22 +- tests/test_litellm/test_ruff_strict_gate.py | 220 +++++++++++++++++- 4 files changed, 237 insertions(+), 112 deletions(-) diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py index 640a735c916..abc5d3e53ff 100644 --- a/litellm/proxy/management_endpoints/internal_user_endpoints.py +++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py @@ -17,7 +17,7 @@ import json import traceback from collections.abc import Mapping, Sequence from datetime import datetime, timezone -from typing import Any, Final, cast +from typing import Any, Final, Literal, cast import fastapi from fastapi import APIRouter, Depends, Header, HTTPException, Request, status diff --git a/ruff-strict-budget.json b/ruff-strict-budget.json index a8af4eabb3f..7e350c184af 100644 --- a/ruff-strict-budget.json +++ b/ruff-strict-budget.json @@ -56,9 +56,6 @@ "B026": { "limit": 3 }, - "B033": { - "limit": 0 - }, "BLE001": { "limit": 2924 }, @@ -113,18 +110,6 @@ "F401": { "limit": 17 }, - "FURB136": { - "limit": 0 - }, - "FURB168": { - "limit": 0 - }, - "FURB188": { - "limit": 0 - }, - "I001": { - "limit": 0 - }, "LOG015": { "limit": 5 }, @@ -137,18 +122,9 @@ "PERF401": { "limit": 12 }, - "PERF402": { - "limit": 0 - }, "PERF403": { "limit": 34 }, - "PIE790": { - "limit": 0 - }, - "PIE800": { - "limit": 0 - }, "PIE804": { "limit": 18 }, @@ -158,9 +134,6 @@ "PLC0206": { "limit": 26 }, - "PLC0208": { - "limit": 0 - }, "PLC0414": { "limit": 46 }, @@ -170,24 +143,12 @@ "PLR0206": { "limit": 1 }, - "PLR0402": { - "limit": 0 - }, "PLR1704": { "limit": 3 }, - "PLR1711": { - "limit": 0 - }, "PLR1714": { "limit": 257 }, - "PLR1730": { - "limit": 0 - }, - "PLR2044": { - "limit": 0 - }, "PLW0127": { "limit": 57 }, @@ -206,27 +167,12 @@ "PLW1510": { "limit": 2 }, - "PYI030": { - "limit": 0 - }, "PYI036": { "limit": 3 }, - "PYI041": { - "limit": 0 - }, - "PYI064": { - "limit": 0 - }, - "RET501": { - "limit": 0 - }, "RET504": { "limit": 177 }, - "RUF010": { - "limit": 0 - }, "RUF012": { "limit": 241 }, @@ -236,18 +182,9 @@ "RUF019": { "limit": 38 }, - "RUF022": { - "limit": 0 - }, - "RUF023": { - "limit": 0 - }, "RUF046": { "limit": 4 }, - "RUF051": { - "limit": 0 - }, "RUF059": { "limit": 67 }, @@ -272,18 +209,12 @@ "SIM113": { "limit": 3 }, - "SIM114": { - "limit": 0 - }, "SIM115": { "limit": 2 }, "SIM117": { "limit": 7 }, - "SIM118": { - "limit": 0 - }, "SIM201": { "limit": 1 }, @@ -302,9 +233,6 @@ "TC004": { "limit": 5 }, - "TC005": { - "limit": 0 - }, "TID251": { "limit": 1240 }, @@ -323,46 +251,13 @@ "TRY300": { "limit": 860 }, - "UP006": { - "limit": 0 - }, - "UP007": { - "limit": 0 - }, - "UP008": { - "limit": 0 - }, - "UP012": { - "limit": 0 - }, - "UP018": { - "limit": 0 - }, - "UP024": { - "limit": 0 - }, "UP028": { "limit": 2 }, "UP031": { "limit": 2 }, - "UP032": { - "limit": 0 - }, - "UP034": { - "limit": 0 - }, - "UP035": { - "limit": 0 - }, "UP036": { "limit": 1 - }, - "UP037": { - "limit": 0 - }, - "UP045": { - "limit": 0 } } diff --git a/ruff.toml b/ruff.toml index 00743e0f38a..9b90910b355 100644 --- a/ruff.toml +++ b/ruff.toml @@ -1,14 +1,26 @@ lint.ignore = ["F405", "E402", "F403"] -lint.extend-select = ["T20", "PGH004", "RUF008", "RUF009", "RUF100"] +# The second group is the strict gate's graduates: rules the codebase already has zero +# violations of, so they hard-fail here instead of being ratcheted in ruff-strict-budget.json. +# That gives editors and `ruff check --fix` the diagnostic, which the gate script cannot. +lint.extend-select = [ + "T20", "PGH004", "RUF008", "RUF009", "RUF100", + "B033", "FURB136", "FURB168", "FURB188", "I001", "PERF402", "PIE790", "PIE800", "PLC0208", + "PLR0402", "PLR1711", "PLR1730", "PLR2044", "PYI030", "PYI041", "PYI064", "RET501", "RUF010", + "RUF022", "RUF023", "RUF051", "SIM114", "SIM118", "TC005", "UP006", "UP007", "UP008", "UP012", + "UP018", "UP024", "UP032", "UP034", "UP035", "UP037", "UP045", +] # RUF100 (unused-noqa) only knows the rules enabled in THIS config, so it would strip # `# noqa` directives that protect rules enforced elsewhere. List those codes as external # so RUF100 leaves their directives alone: the strict gate (ruff-strict.toml) and upstream # litellm's own ruff config both rely on suppressions this config can't see. lint.external = [ - # Enforced by the strict-rule gate (scripts/ruff_strict_gate.py + ruff-strict.toml) - "ANN", "ASYNC230", "B", "C", "D419", "DTZ", "EXE", "FURB", "I001", "LOG015", "N999", "PERF", - "PIE", "PL", "PYI", "RET", "RUF010", "RUF012", "RUF015", "RUF019", "RUF022", "RUF023", - "RUF046", "RUF051", "RUF059", "S110", "S112", "SIM", "TC", "TID251", "TRY", "UP", + # Enforced by the strict-rule gate (scripts/ruff_strict_gate.py + ruff-strict.toml). + # Family entries whose every strict rule graduated into extend-select above (FURB), and + # standalone graduated codes (I001, RUF010, RUF022, RUF023, RUF051), are dropped so this + # config's RUF100 polices their directives itself. + "ANN", "ASYNC230", "B", "C", "D419", "DTZ", "EXE", "LOG015", "N999", "PERF", + "PIE", "PL", "PYI", "RET", "RUF012", "RUF015", "RUF019", + "RUF046", "RUF059", "S110", "S112", "SIM", "TC", "TID251", "TRY", "UP", # Enforced by upstream litellm's ruff config, but not run in this repo's CI "PLC0415", "E402", "BLE001", "ARG002", "S102", "S324", "S606", "D401", "F403", "F405", ] diff --git a/tests/test_litellm/test_ruff_strict_gate.py b/tests/test_litellm/test_ruff_strict_gate.py index abdeb6feecc..206207acb09 100644 --- a/tests/test_litellm/test_ruff_strict_gate.py +++ b/tests/test_litellm/test_ruff_strict_gate.py @@ -1,16 +1,24 @@ import importlib.util +import json +import re +import shutil import subprocess +import sys +import tomllib from pathlib import Path import pytest -_MODULE_PATH = Path(__file__).resolve().parents[2] / "scripts" / "ruff_strict_gate.py" +_REPO_ROOT = Path(__file__).resolve().parents[2] +_MODULE_PATH = _REPO_ROOT / "scripts" / "ruff_strict_gate.py" _spec = importlib.util.spec_from_file_location("ruff_strict_gate", _MODULE_PATH) gate = importlib.util.module_from_spec(_spec) _spec.loader.exec_module(gate) Violation = gate.Violation +_ENABLED_BY_RUFF_DEFAULTS = frozenset({"F401"}) + def rule(name, limit): return {name: {"limit": limit}} @@ -151,3 +159,213 @@ def test_base_point_mid_merge_advances_to_the_merged_in_base_tip(tmp_path): repo, _, base_tip = _branched_repo(tmp_path) _git(repo, "merge", "--no-commit", "--no-ff", "main") assert gate.resolve_base_point("main", cwd=repo) == base_tip + + +def _lint_section(config_name: str) -> dict: + return tomllib.loads((_REPO_ROOT / config_name).read_text())["lint"] + + +def _base_external() -> tuple[str, ...]: + return tuple(_lint_section("ruff.toml")["external"]) + + +def _strict_external() -> tuple[str, ...]: + return tuple(_lint_section("ruff-strict.toml")["external"]) + + +def _strict_selected() -> frozenset: + return frozenset(_lint_section("ruff-strict.toml")["select"]) + + +def _prefix_covered(code: str, prefixes: tuple[str, ...]) -> bool: + return any(code.startswith(prefix) for prefix in prefixes) + + +def _selected_by_the_normal_config() -> frozenset: + return frozenset(_lint_section("ruff.toml")["extend-select"]) | _ENABLED_BY_RUFF_DEFAULTS + + +def _budgeted_rules() -> frozenset: + return frozenset(json.loads((_REPO_ROOT / "ruff-strict-budget.json").read_text())) + + +def _ruff_binary() -> str | None: + beside_interpreter = Path(sys.executable).with_name("ruff") + return str(beside_interpreter) if beside_interpreter.exists() else shutil.which("ruff") + + +_RUFF = _ruff_binary() +_needs_ruff = pytest.mark.skipif(_RUFF is None, reason="ruff is not installed in this environment") + + +def _ruff_output_for_noqa(code: str, *extra_args: str) -> str: + proc = subprocess.run( + [ + _RUFF, + "check", + "--no-cache", + "--stdin-filename", + "litellm/types/_external_probe.py", + *extra_args, + "-", + ], + cwd=_REPO_ROOT, + input=f"def _probe(x: int): # noqa: {code}\n return x\n", + capture_output=True, + text=True, + ) + return proc.stdout + + +def test_every_strict_gate_rule_is_protected_from_base_ruf100(): + unprotected = frozenset( + selector + for selector in _strict_selected() + if not _prefix_covered(selector, _base_external()) + and selector not in _selected_by_the_normal_config() + ) + assert unprotected == frozenset(), ( + f"`ruff check` deletes any `# noqa` naming {sorted(unprotected)} as unused, so suppressing " + "one of those strict-gate rules breaks lint. Cover them in ruff.toml's lint.external or " + "enable them in its lint.extend-select." + ) + + +def test_every_selected_rule_keeps_stale_noqa_detection_somewhere(): + policed_by_strict = frozenset( + selector + for selector in _strict_selected() + if not _prefix_covered(selector, _strict_external()) + ) + policed_by_base = frozenset( + selector + for selector in _selected_by_the_normal_config() + if not _prefix_covered(selector, _base_external()) + ) + shadowed = ( + _strict_selected() | _selected_by_the_normal_config() + ) - policed_by_strict - policed_by_base + assert shadowed == frozenset(), ( + f"no config's RUF100 can ever report a stale `# noqa` for {sorted(shadowed)}: every config " + "that selects each of them also shadows it with an external entry. Narrow the external " + "entry in ruff.toml or ruff-strict.toml." + ) + + +_BASE_OWNED_FAMILY = re.compile(r"E[479]\d+|F\d+|T20\d+") +_BASE_OWNED_SINGLES = frozenset({"PGH004", "RUF008", "RUF009", "RUF100"}) + + +@pytest.fixture(scope="module") +def all_ruff_rule_codes() -> frozenset: + listing = subprocess.run( + [_RUFF, "rule", "--all", "--output-format", "json"], + capture_output=True, + text=True, + ) + assert listing.returncode == 0, listing.stderr + return frozenset( + entry["code"] for entry in json.loads(listing.stdout) if "Removed" not in entry["status"] + ) + + +@_needs_ruff +def test_every_base_owned_rule_is_external_or_selected_in_the_strict_config(all_ruff_rule_codes): + base_owned = frozenset( + code + for code in all_ruff_rule_codes + if _BASE_OWNED_FAMILY.fullmatch(code) or code in _BASE_OWNED_SINGLES + ) + stranded = frozenset( + code + for code in base_owned + if code not in _strict_selected() and not _prefix_covered(code, _strict_external()) + ) + assert stranded == frozenset(), ( + f"the strict gate's RUF100 reads a valid `# noqa` for {sorted(stranded)} as unused, the " + "spurious-breach trap ruff-strict.toml's external override exists to prevent. Cover them " + "there." + ) + double_booked = frozenset( + code + for code in base_owned + if code in _strict_selected() and _prefix_covered(code, _strict_external()) + ) + assert double_booked == frozenset(), ( + f"{sorted(double_booked)} are selected by the strict config yet shadowed by its external " + "list, so their stale suppressions can never be reported. Narrow the external entry in " + "ruff-strict.toml." + ) + + +def test_every_budgeted_rule_is_one_the_gate_actually_measures(): + selectors = tuple(_lint_section("ruff-strict.toml")["select"]) + unmeasured = frozenset(code for code in _budgeted_rules() if not code.startswith(selectors)) + assert unmeasured == frozenset(), ( + f"the gate never counts {sorted(unmeasured)}, so their ceilings are dead config that reads " + "as coverage. Either select them in ruff-strict.toml or drop them from the budget." + ) + + +@_needs_ruff +def test_every_strict_selected_rule_is_budgeted_or_hard_failed_by_the_base_config(all_ruff_rule_codes): + strict_enabled = frozenset( + code + for code in all_ruff_rule_codes + if code.startswith(tuple(_lint_section("ruff-strict.toml")["select"])) + ) + base_hard_failed = tuple(_lint_section("ruff.toml")["extend-select"]) + unpoliced = frozenset( + code + for code in strict_enabled + if code not in _budgeted_rules() + and not code.startswith(base_hard_failed) + and code not in _ENABLED_BY_RUFF_DEFAULTS + ) + assert unpoliced == frozenset(), ( + f"nothing enforces {sorted(unpoliced)}: the gate skips rules missing from the budget, and " + "the base config does not hard-fail them. Re-add a budget ceiling or graduate them into " + "ruff.toml's lint.extend-select." + ) + + +@_needs_ruff +def test_a_noqa_for_a_strict_gate_rule_survives_the_normal_ruff_run(): + assert "RUF100" not in _ruff_output_for_noqa("ANN202") + + +@_needs_ruff +def test_the_external_list_is_what_saves_that_noqa(): + assert "RUF100" in _ruff_output_for_noqa("ANN202", "--config", "lint.external=[]") + + +@_needs_ruff +def test_a_stale_noqa_for_a_locally_enabled_rule_is_still_reported(): + assert "RUF100" in _ruff_output_for_noqa("F401") + + +def _ruff_output_for_source(source: str) -> str: + proc = subprocess.run( + [_RUFF, "check", "--no-cache", "--stdin-filename", "litellm/types/_graduate_probe.py", "-"], + cwd=_REPO_ROOT, + input=source, + capture_output=True, + text=True, + ) + return proc.stdout + + +_DEPRECATED_TYPING_ALIAS = "from typing import List # noqa: UP035\n\n\ndef _probe(x: List[int]) -> None: ...\n" + + +@_needs_ruff +def test_a_graduated_rule_now_fails_the_normal_ruff_run_instead_of_waiting_for_the_gate(): + assert "UP006" in _ruff_output_for_source(_DEPRECATED_TYPING_ALIAS) + + +@_needs_ruff +def test_a_graduated_rule_can_still_be_suppressed_without_tripping_unused_noqa(): + suppressed = _DEPRECATED_TYPING_ALIAS.replace("...\n", "... # noqa: UP006\n") + output = _ruff_output_for_source(suppressed) + assert "UP006" not in output + assert "RUF100" not in output From 5cd027cbbca7d731238bd870c01917e9dcf3af97 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Fri, 7 Aug 2026 23:11:23 -0700 Subject: [PATCH 036/120] fix(lint): let the ratchet guard recognise a graduated rule A budget rule that graduates into a config's hard-fail select list rightly leaves the budget file, but the ratchet guard read any disappearance as a silently raised ceiling. Teach it the pairing between ruff-strict-budget.json and ruff.toml: a dropped rule is excused only when the paired config's lint.extend-select (minus lint.ignore) now hard-fails it, so deleting a rule without graduating it still trips the guard. --- scripts/budget_ratchet_check.py | 51 ++++++++++++++++--- .../test_litellm/test_budget_ratchet_check.py | 44 ++++++++++++++++ 2 files changed, 89 insertions(+), 6 deletions(-) diff --git a/scripts/budget_ratchet_check.py b/scripts/budget_ratchet_check.py index 10a78483643..e97cd1bca00 100644 --- a/scripts/budget_ratchet_check.py +++ b/scripts/budget_ratchet_check.py @@ -10,7 +10,10 @@ content at the merge-base with the target branch and fails (exits 1, red) if: * a rule was dropped from a budget (its ceiling effectively became infinite), or * an entire budget file was deleted. -New rules and lowered/equal limits are fine. +New rules and lowered/equal limits are fine. So is a rule that graduated: once a +paired config (ruff.toml for the ruff-strict budget) selects the rule outright it +hard-fails at the first violation, which is stricter than any ceiling the budget +could hold, so dropping its entry tightens the guard rather than removing it. This is deliberately NOT a gating check. It should turn the run red so that a loosening is impossible to miss in review, but it must stay OUT of the @@ -30,7 +33,9 @@ import argparse import json import subprocess import sys +import tomllib from pathlib import Path +from types import MappingProxyType from typing import NamedTuple REPO_ROOT = Path(__file__).resolve().parent.parent @@ -40,6 +45,7 @@ DEFAULT_BUDGETS: tuple[str, ...] = ( "type-discipline-budget.json", "basedpyright-code-budget.json", ) +GRADUATION_CONFIGS = MappingProxyType({"ruff-strict-budget.json": "ruff.toml"}) class Regression(NamedTuple): @@ -106,24 +112,57 @@ def _limits(budget: dict) -> dict[str, int]: } +def selectors_hard_failed_by(lint: dict) -> tuple[str, ...]: + """A ruff `[lint]` table's selected codes, minus anything `ignore` turns back off. + + `lint.ignore` wins over `lint.extend-select` in ruff, so an ignored code is not + actually enforced and must not count as a graduation. + """ + ignored = tuple(lint.get("ignore", ())) + return tuple( + selector + for selector in lint.get("extend-select", ()) + if not (ignored and selector.startswith(ignored)) + ) + + +def graduated_selectors(rel: str) -> tuple[str, ...]: + """Selectors the budget's paired ruff config hard-fails, so its ceiling is moot.""" + config = GRADUATION_CONFIGS.get(rel) + if config is None or not (REPO_ROOT / config).exists(): + return () + return selectors_hard_failed_by( + tomllib.loads((REPO_ROOT / config).read_text()).get("lint", {}) + ) + + def _regression_detail( rule: str, base_limits: dict[str, int], head_limits: dict[str, int], + graduated: tuple[str, ...], ) -> str | None: - """Why `rule` regressed vs base, or None when it held flat or fell. + """Why `rule` regressed vs base, or None when it held flat, fell, or graduated. - A dropped rule is terminal; otherwise the only loosening left is a raised limit. + A dropped rule is terminal unless it graduated; otherwise the only loosening + left is a raised limit. """ base_limit = base_limits[rule] if rule not in head_limits: + if graduated and rule.startswith(graduated): + return None return f"rule dropped (limit {base_limit} -> removed)" if head_limits[rule] > base_limit: return f"limit raised {base_limit} -> {head_limits[rule]}" return None -def regressions_for(rel: str, base: dict | None, head: dict | None) -> list[Regression]: +def regressions_for( + rel: str, + base: dict | None, + head: dict | None, + graduated: tuple[str, ...] = (), +) -> list[Regression]: if base is None: return [] # new budget file: nothing to ratchet against yet if head is None: @@ -133,7 +172,7 @@ def regressions_for(rel: str, base: dict | None, head: dict | None) -> list[Regr return [ Regression(rel, rule, detail) for rule in sorted(base_limits) - if (detail := _regression_detail(rule, base_limits, head_limits)) is not None + if (detail := _regression_detail(rule, base_limits, head_limits, graduated)) is not None ] @@ -164,7 +203,7 @@ def main() -> int: print(f"skip {rel}: new file (no base at {args.base} to ratchet against)") continue checked.append(rel) - regressions.extend(regressions_for(rel, base, head)) + regressions.extend(regressions_for(rel, base, head, graduated_selectors(rel))) if regressions: print( diff --git a/tests/test_litellm/test_budget_ratchet_check.py b/tests/test_litellm/test_budget_ratchet_check.py index 1972c1b6386..22d05f4d00d 100644 --- a/tests/test_litellm/test_budget_ratchet_check.py +++ b/tests/test_litellm/test_budget_ratchet_check.py @@ -68,6 +68,50 @@ def test_new_rule_in_head_is_clean(): assert ratchet.regressions_for("b.json", {}, {"new-rule": _spec_of(5)}) == [] +def test_dropped_rule_that_graduated_to_a_hard_failing_config_is_clean(): + base = {"UP006": _spec_of(0)} + assert ratchet.regressions_for("b.json", base, {}, graduated=("UP006",)) == [] + + +def test_graduation_matches_by_prefix_like_ruff_selectors_do(): + base = {"ANN202": _spec_of(865)} + assert ratchet.regressions_for("b.json", base, {}, graduated=("ANN",)) == [] + + +def test_an_unrelated_graduation_does_not_excuse_a_dropped_rule(): + base = {"C901": _spec_of(3)} + regs = ratchet.regressions_for("b.json", base, {}, graduated=("UP006", "SIM118")) + assert [r.rule for r in regs] == ["C901"] + assert "dropped" in regs[0].detail + + +def test_graduation_never_excuses_a_raised_limit(): + base = {"UP006": _spec_of(0)} + regs = ratchet.regressions_for("b.json", base, {"UP006": _spec_of(7)}, graduated=("UP006",)) + assert [r.rule for r in regs] == ["UP006"] + assert "0 -> 7" in regs[0].detail + + +def test_graduated_selectors_come_from_the_paired_ruff_config(): + selectors = ratchet.graduated_selectors("ruff-strict-budget.json") + assert "UP006" in selectors + assert "ANN" not in selectors + + +def test_budgets_without_a_paired_config_can_never_graduate(): + assert ratchet.graduated_selectors("type-discipline-budget.json") == () + assert ratchet.graduated_selectors("basedpyright-code-budget.json") == () + + +def test_a_selector_the_config_also_ignores_does_not_count_as_graduated(): + lint = {"ignore": ["UP006"], "extend-select": ["UP006", "SIM118"]} + assert ratchet.selectors_hard_failed_by(lint) == ("SIM118",) + + +def test_selectors_hard_failed_by_reads_a_config_with_no_ignore_list(): + assert ratchet.selectors_hard_failed_by({"extend-select": ["UP006"]}) == ("UP006",) + + def test_deleted_budget_file_is_a_regression(): regs = ratchet.regressions_for("b.json", {"LIT006": _spec_of(1)}, None) assert [r.rule for r in regs] == ["*"] From 5f7a663005bf3228f913d34cb372b712d318e7de Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 01:33:32 -0700 Subject: [PATCH 037/120] fix(proxy): enforce require_managed_files on every raw provider id route require_managed_files was only checked on upload, so raw provider ids still reached the batch, fine-tuning and vector store file routes. Ownership rows exist only for managed ids, so those requests were forwarded under shared credentials with no tenant check: knowing another tenant's id was enough to read, run against, cancel or delete their object. Generalise the file-id guard to validate_managed_id_requirement(resource_id, resource_kind) and call it on batch create/retrieve/cancel, fine-tuning create/retrieve/cancel (training_file and validation_file both) and the shared vector store file id resolver. Behaviour is unchanged when the setting is off. --- litellm/proxy/batches_endpoints/endpoints.py | 5 + .../proxy/fine_tuning_endpoints/endpoints.py | 8 + .../openai_files_endpoints/common_utils.py | 27 +- .../openai_files_endpoints/files_endpoints.py | 8 +- .../vector_store_files_endpoints/endpoints.py | 5 + .../proxy/batches_endpoints/test_endpoints.py | 117 +++++++++ .../proxy/fine_tuning_endpoints/__init__.py | 0 .../fine_tuning_endpoints/test_endpoints.py | 236 ++++++++++++++++++ .../test_files_endpoint.py | 8 +- .../vector_store_files_endpoints/__init__.py | 0 .../test_endpoints.py | 83 ++++++ 11 files changed, 479 insertions(+), 18 deletions(-) create mode 100644 tests/test_litellm/proxy/fine_tuning_endpoints/__init__.py create mode 100644 tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py create mode 100644 tests/test_litellm/proxy/vector_store_files_endpoints/__init__.py create mode 100644 tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py diff --git a/litellm/proxy/batches_endpoints/endpoints.py b/litellm/proxy/batches_endpoints/endpoints.py index f7c332f2849..c9f66c5a48b 100644 --- a/litellm/proxy/batches_endpoints/endpoints.py +++ b/litellm/proxy/batches_endpoints/endpoints.py @@ -36,6 +36,7 @@ from litellm.proxy.openai_files_endpoints.common_utils import ( get_original_file_id, prepare_data_with_credentials, update_batch_in_database, + validate_managed_id_requirement, ) from litellm.proxy.utils import handle_exception_on_proxy, is_known_model from litellm.repositories.table_repositories import ManagedFileRepository @@ -176,6 +177,7 @@ async def create_batch( } input_file_id: Final = _create_batch_data.get("input_file_id", None) + validate_managed_id_requirement(resource_id=input_file_id, resource_kind="file") unified_file_id: str | Literal[False] = False model_from_file_id = None @@ -392,6 +394,7 @@ async def retrieve_batch( data: dict = {} try: + validate_managed_id_requirement(resource_id=batch_id, resource_kind="batch") model_from_id: Final = decode_model_from_file_id(batch_id) _retrieve_batch_request: Final = RetrieveBatchRequest( batch_id=batch_id, @@ -840,6 +843,8 @@ async def cancel_batch( data: dict = {} try: + validate_managed_id_requirement(resource_id=batch_id, resource_kind="batch") + # Check for encoded batch ID with model info model_from_id: Final = decode_model_from_file_id(batch_id) diff --git a/litellm/proxy/fine_tuning_endpoints/endpoints.py b/litellm/proxy/fine_tuning_endpoints/endpoints.py index f8ffb77edb8..87e9895eed0 100644 --- a/litellm/proxy/fine_tuning_endpoints/endpoints.py +++ b/litellm/proxy/fine_tuning_endpoints/endpoints.py @@ -17,6 +17,7 @@ from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing from litellm.proxy.openai_files_endpoints.common_utils import ( _is_base64_encoded_unified_file_id, + validate_managed_id_requirement, ) from litellm.proxy.utils import handle_exception_on_proxy from litellm.types.utils import LiteLLMFineTuningJob @@ -134,6 +135,11 @@ async def create_fine_tuning_job( ## CHECK IF MANAGED FILE ID unified_file_id: str | Literal[False] = False training_file: Final = fine_tuning_request.training_file + validate_managed_id_requirement(resource_id=training_file, resource_kind="file") + validate_managed_id_requirement( + resource_id=fine_tuning_request.validation_file, + resource_kind="file", + ) response: LiteLLMFineTuningJob | None = None if training_file: unified_file_id = _is_base64_encoded_unified_file_id(training_file) @@ -246,6 +252,7 @@ async def retrieve_fine_tuning_job( try: if premium_user is not True: raise ValueError(f"Only premium users can use this endpoint + {CommonProxyErrors.not_premium_user.value}") + validate_managed_id_requirement(resource_id=fine_tuning_job_id, resource_kind="fine-tuning job") # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) ( @@ -513,6 +520,7 @@ async def cancel_fine_tuning_job( try: if premium_user is not True: raise ValueError(f"Only premium users can use this endpoint + {CommonProxyErrors.not_premium_user.value}") + validate_managed_id_requirement(resource_id=fine_tuning_job_id, resource_kind="fine-tuning job") # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) ( diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index b26010c5597..143bd5bc6b5 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -881,17 +881,20 @@ def validate_managed_files_requirement( ) -def validate_managed_file_id_requirement(file_id: str) -> None: +def validate_managed_id_requirement( + resource_id: str | None, + resource_kind: Literal["file", "batch", "fine-tuning job"], +) -> None: """ - Enforce proxy-level managed files on the file read/delete routes when - ``litellm.require_managed_files`` is enabled. + Enforce proxy-level managed resources on every route that accepts a provider-issued id + when ``litellm.require_managed_files`` is enabled. - Ownership is only recorded for LiteLLM managed files, so a raw provider file id sent to - retrieve/content/delete is forwarded to the provider under shared credentials without any - tenant check; knowing another tenant's provider file id would be enough to read or delete it. + Ownership is only recorded for LiteLLM managed ids, so a raw provider id is forwarded to the + provider under shared credentials without any tenant check; knowing another tenant's provider + id would be enough to read, reuse, or destroy the object behind it. Raises: - HTTPException: 400 if ``file_id`` is not a LiteLLM managed file id. + HTTPException: 400 if ``resource_id`` is set and is not a LiteLLM managed id. """ from fastapi import HTTPException @@ -900,14 +903,18 @@ def validate_managed_file_id_requirement(file_id: str) -> None: if litellm.require_managed_files is not True: return - if _is_base64_encoded_unified_file_id(file_id): + if not resource_id: + return + + if _is_base64_encoded_unified_file_id(resource_id): return raise HTTPException( status_code=400, detail=( - "Raw provider file ids cannot be used when require_managed_files is enabled in " - "litellm_settings. Use the LiteLLM managed file id returned when the file was created." + f"Raw provider {resource_kind} ids cannot be used when require_managed_files is enabled in " + f"litellm_settings. Use the LiteLLM managed {resource_kind} id returned when the " + f"{resource_kind} was created." ), ) diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index 5c1a4441d0d..b5950c4f852 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -49,8 +49,8 @@ from litellm.proxy.openai_files_endpoints.common_utils import ( get_credentials_for_model, handle_model_based_routing, prepare_data_with_credentials, - validate_managed_file_id_requirement, validate_managed_files_requirement, + validate_managed_id_requirement, ) from litellm.proxy.utils import ProxyLogging, is_known_model from litellm.repositories.table_repositories import ManagedFileRepository @@ -613,7 +613,7 @@ async def get_file_content( data: dict = {"file_id": file_id} try: - validate_managed_file_id_requirement(file_id=file_id) + validate_managed_id_requirement(resource_id=file_id, resource_kind="file") # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) @@ -911,7 +911,7 @@ async def get_file( data: dict = {"file_id": file_id} try: - validate_managed_file_id_requirement(file_id=file_id) + validate_managed_id_requirement(resource_id=file_id, resource_kind="file") custom_llm_provider: Final = ( provider @@ -1103,7 +1103,7 @@ async def delete_file( data: dict = {"file_id": file_id} try: - validate_managed_file_id_requirement(file_id=file_id) + validate_managed_id_requirement(resource_id=file_id, resource_kind="file") custom_llm_provider: Final = ( provider diff --git a/litellm/proxy/vector_store_files_endpoints/endpoints.py b/litellm/proxy/vector_store_files_endpoints/endpoints.py index 896b7ca33d7..f8fdf607292 100644 --- a/litellm/proxy/vector_store_files_endpoints/endpoints.py +++ b/litellm/proxy/vector_store_files_endpoints/endpoints.py @@ -65,6 +65,11 @@ def _update_request_data_with_managed_file_id( is_base64_encoded_unified_id, parse_unified_id, ) + from litellm.proxy.openai_files_endpoints.common_utils import ( + validate_managed_id_requirement, + ) + + validate_managed_id_requirement(resource_id=file_id, resource_kind="file") # First, check if this is a unified managed file ID (base64 encoded) decoded_id: Final = is_base64_encoded_unified_id(file_id) diff --git a/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py b/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py index e758aa5ca7f..18ca604f88d 100644 --- a/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py @@ -2253,3 +2253,120 @@ async def test_cancel__provider_only_resolves_named_vertex_credentials(cancel_ha "vertex_location": "us-central1", "vertex_credentials": "/creds/customer-sa.json", } + + +# =========================================================================== # +# require_managed_files - raw provider ids must not reach the provider. # +# # +# Ownership rows only exist for LiteLLM managed ids. A raw provider id sent to # +# these routes is forwarded under the shared provider credentials with no # +# tenant check, so any caller who learns another tenant's id can read its # +# batch, reuse its file as batch input, or cancel its job. These lock the # +# guard on every batches route that accepts a caller-supplied id. # +# =========================================================================== # + + +def _unified_batch_id(model_id: str = "azure/gpt-4o", batch_id: str = "batch-provider-id") -> str: + import base64 + + from litellm.types.utils import SpecialEnums + + unified = SpecialEnums.LITELLM_MANAGED_BATCH_COMPLETE_STR.value.format(model_id, batch_id) + return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") + + +@pytest.mark.asyncio +async def test_create__raw_input_file_id_rejected_when_managed_files_required(harness): + set_body( + harness, + { + "input_file_id": "file-victim-abc123", + "endpoint": "/v1/chat/completions", + "completion_window": "24h", + }, + ) + + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await call_create(harness) + + assert exc.value.code == "400" + harness.litellm_acreate.assert_not_called() + harness.router_acreate.assert_not_called() + + +@pytest.mark.asyncio +async def test_create__model_encoded_input_file_id_rejected_when_managed_files_required(harness): + """A model-encoded id is client-forgeable and has no ownership row, so it is + not a managed file id and must be rejected like any other raw id.""" + set_body( + harness, + { + "input_file_id": AZURE_FILE_ID, + "endpoint": "/v1/chat/completions", + "completion_window": "24h", + }, + ) + + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await call_create(harness) + + assert exc.value.code == "400" + harness.litellm_acreate.assert_not_called() + harness.router_acreate.assert_not_called() + + +@pytest.mark.asyncio +async def test_create__raw_input_file_id_allowed_when_managed_files_not_required(harness): + set_body( + harness, + { + "input_file_id": "file-victim-abc123", + "endpoint": "/v1/chat/completions", + "completion_window": "24h", + }, + ) + + with patch.object(litellm, "require_managed_files", False): + await call_create(harness) + + assert harness.acreate_kwargs()["input_file_id"] == "file-victim-abc123" + + +@pytest.mark.asyncio +async def test_retrieve__raw_batch_id_rejected_when_managed_files_required(retrieve_harness): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await call_retrieve(retrieve_harness, "batch-victim-abc123") + + assert exc.value.code == "400" + retrieve_harness.litellm_aretrieve.assert_not_called() + retrieve_harness.router_aretrieve.assert_not_called() + + +@pytest.mark.asyncio +async def test_retrieve__unified_batch_id_allowed_when_managed_files_required(retrieve_harness): + with patch.object(litellm, "require_managed_files", True): + await call_retrieve(retrieve_harness, _unified_batch_id()) + + assert retrieve_harness.router_aretrieve.call_count == 1 + + +@pytest.mark.asyncio +async def test_cancel__raw_batch_id_rejected_when_managed_files_required(cancel_harness): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await call_cancel(cancel_harness, "batch-victim-abc123") + + assert exc.value.code == "400" + cancel_harness.litellm_acancel.assert_not_called() + cancel_harness.router_acancel.assert_not_called() + + +@pytest.mark.asyncio +async def test_cancel__unified_batch_id_allowed_when_managed_files_required(cancel_harness): + with patch.object(litellm, "require_managed_files", True): + await call_cancel(cancel_harness, _unified_batch_id()) + + assert cancel_harness.router_acancel.call_count == 1 diff --git a/tests/test_litellm/proxy/fine_tuning_endpoints/__init__.py b/tests/test_litellm/proxy/fine_tuning_endpoints/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py b/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py new file mode 100644 index 00000000000..35c202057e7 --- /dev/null +++ b/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py @@ -0,0 +1,236 @@ +""" +require_managed_files enforcement for litellm/proxy/fine_tuning_endpoints/endpoints.py + +Ownership rows only exist for LiteLLM managed ids. A raw provider id sent to these +routes is forwarded to the provider under the shared proxy credentials with no tenant +check, so any caller who learns another tenant's file id can train on it, and any +caller who learns another tenant's job id can read or cancel it. + +Each test asserts BOTH that the request is rejected AND that every downstream provider +seam stayed untouched, so a guard that raises after the provider call would still fail. +""" + +import base64 +import os +import sys +from contextlib import ExitStack +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +sys.path.insert(0, os.path.abspath("../../../..")) + +from fastapi import Response + +import litellm +import litellm.proxy.fine_tuning_endpoints.endpoints as endpoints +import litellm.proxy.proxy_server as proxy_server +from litellm.proxy._types import ProxyException, UserAPIKeyAuth +from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing +from litellm.proxy.utils import ProxyLogging +from litellm.router import Router +from litellm.types.llms.openai import LiteLLMFineTuningJobCreate +from litellm.types.utils import LiteLLMFineTuningJob, SpecialEnums + +RAW_FILE_ID = "file-victim-abc123" +RAW_JOB_ID = "ftjob-victim-abc123" + + +def _unified_file_id() -> str: + unified = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", "victim-unified-id", "gpt-4o-mini", RAW_FILE_ID, "gpt-4o-mini-id" + ) + return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") + + +def _unified_job_id() -> str: + unified = SpecialEnums.LITELLM_MANAGED_GENERIC_RESPONSE_COMPLETE_STR.value.format("gpt-4o-mini-id", RAW_JOB_ID) + return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") + + +def _job() -> LiteLLMFineTuningJob: + job = LiteLLMFineTuningJob( + id=RAW_JOB_ID, + created_at=1234567890, + fine_tuned_model=None, + finished_at=None, + hyperparameters={"n_epochs": 1}, + model="gpt-4o-mini", + object="fine_tuning.job", + organization_id="org-test", + result_files=[], + seed=0, + status="running", + trained_tokens=None, + training_file=RAW_FILE_ID, + validation_file=None, + ) + job._hidden_params = {} + return job + + +class FakeRequest: + def __init__(self): + self.headers = {} + self.query_params = {} + + async def json(self): + return {} + + +class Seams: + def __init__(self, router: MagicMock, litellm_calls: dict[str, AsyncMock]): + self.router = router + self.litellm_calls = litellm_calls + + def assert_no_provider_call(self) -> None: + for name, mock in self.litellm_calls.items(): + assert mock.call_count == 0, f"litellm.{name} was called" + for name in ("acreate_fine_tuning_job", "aretrieve_fine_tuning_job", "acancel_fine_tuning_job"): + assert getattr(self.router, name).call_count == 0, f"router.{name} was called" + + +@pytest.fixture +def seams(): + logging = MagicMock(spec=ProxyLogging) + logging.post_call_success_hook = AsyncMock(side_effect=lambda **kw: kw["response"]) + logging.post_call_failure_hook = AsyncMock() + logging.update_request_status = AsyncMock() + logging.get_proxy_hook = MagicMock(return_value=None) + + router = MagicMock(spec=Router) + router.acreate_fine_tuning_job = AsyncMock(return_value=_job()) + router.aretrieve_fine_tuning_job = AsyncMock(return_value=_job()) + router.acancel_fine_tuning_job = AsyncMock(return_value=_job()) + + litellm_calls = { + name: AsyncMock(return_value=_job()) + for name in ("acreate_fine_tuning_job", "aretrieve_fine_tuning_job", "acancel_fine_tuning_job") + } + + with ExitStack() as stack: + stack.enter_context( + patch.object( + ProxyBaseLLMRequestProcessing, + "common_processing_pre_call_logic", + AsyncMock(side_effect=lambda self=None, **kw: (self.data if self else {}, MagicMock())), + ) + ) + stack.enter_context(patch.object(ProxyBaseLLMRequestProcessing, "get_custom_headers", MagicMock(return_value={}))) + for name, mock in litellm_calls.items(): + stack.enter_context(patch.object(litellm, name, mock)) + stack.enter_context(patch.object(proxy_server, "llm_router", router)) + stack.enter_context(patch.object(proxy_server, "proxy_logging_obj", logging)) + stack.enter_context(patch.object(proxy_server, "premium_user", True)) + stack.enter_context(patch.object(proxy_server, "general_settings", {})) + stack.enter_context(patch.object(proxy_server, "proxy_config", MagicMock())) + stack.enter_context(patch.object(proxy_server, "version", "test-version")) + stack.enter_context(patch.object(endpoints, "fine_tuning_config", [{"custom_llm_provider": "openai"}])) + yield Seams(router=router, litellm_calls=litellm_calls) + + +async def _create(training_file: str, validation_file: str | None = None): + return await endpoints.create_fine_tuning_job( + request=FakeRequest(), + fastapi_response=Response(), + fine_tuning_request=LiteLLMFineTuningJobCreate( + model="gpt-4o-mini", + training_file=training_file, + validation_file=validation_file, + custom_llm_provider="openai", + ), + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + +async def _retrieve(job_id: str): + return await endpoints.retrieve_fine_tuning_job( + request=FakeRequest(), + fastapi_response=Response(), + fine_tuning_job_id=job_id, + custom_llm_provider="openai", + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + +async def _cancel(job_id: str): + return await endpoints.cancel_fine_tuning_job( + request=FakeRequest(), + fastapi_response=Response(), + fine_tuning_job_id=job_id, + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + +@pytest.mark.asyncio +async def test_create__raw_training_file_rejected_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await _create(RAW_FILE_ID) + + assert exc.value.code == "400" + seams.assert_no_provider_call() + + +@pytest.mark.asyncio +async def test_create__raw_validation_file_rejected_when_managed_files_required(seams): + """The validation file is uploaded and readable exactly like the training file, + so a managed training_file must not smuggle a raw validation_file past the guard.""" + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await _create(_unified_file_id(), validation_file=RAW_FILE_ID) + + assert exc.value.code == "400" + seams.assert_no_provider_call() + + +@pytest.mark.asyncio +async def test_create__unified_training_file_allowed_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + await _create(_unified_file_id()) + + assert seams.router.acreate_fine_tuning_job.call_count == 1 + + +@pytest.mark.asyncio +async def test_create__raw_training_file_allowed_when_managed_files_not_required(seams): + with patch.object(litellm, "require_managed_files", False): + await _create(RAW_FILE_ID) + + assert seams.litellm_calls["acreate_fine_tuning_job"].call_count == 1 + + +@pytest.mark.asyncio +async def test_retrieve__raw_job_id_rejected_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await _retrieve(RAW_JOB_ID) + + assert exc.value.code == "400" + seams.assert_no_provider_call() + + +@pytest.mark.asyncio +async def test_retrieve__unified_job_id_allowed_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + await _retrieve(_unified_job_id()) + + assert seams.router.aretrieve_fine_tuning_job.call_count == 1 + + +@pytest.mark.asyncio +async def test_cancel__raw_job_id_rejected_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await _cancel(RAW_JOB_ID) + + assert exc.value.code == "400" + seams.assert_no_provider_call() + + +@pytest.mark.asyncio +async def test_cancel__unified_job_id_allowed_when_managed_files_required(seams): + with patch.object(litellm, "require_managed_files", True): + await _cancel(_unified_job_id()) + + assert seams.router.acancel_fine_tuning_job.call_count == 1 diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py index 24b814bae1f..2e15da7590a 100644 --- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py @@ -3109,22 +3109,22 @@ def _unified_managed_file_id() -> str: def test_require_managed_files_allows_unified_managed_file_id(monkeypatch): from litellm.proxy.openai_files_endpoints.common_utils import ( - validate_managed_file_id_requirement, + validate_managed_id_requirement, ) monkeypatch.setattr("litellm.require_managed_files", True) - validate_managed_file_id_requirement(file_id=_unified_managed_file_id()) + validate_managed_id_requirement(resource_id=_unified_managed_file_id(), resource_kind="file") def test_managed_file_id_requirement_is_opt_in(monkeypatch): from litellm.proxy.openai_files_endpoints.common_utils import ( - validate_managed_file_id_requirement, + validate_managed_id_requirement, ) monkeypatch.setattr("litellm.require_managed_files", False) - validate_managed_file_id_requirement(file_id="file-victim-abc123") + validate_managed_id_requirement(resource_id="file-victim-abc123", resource_kind="file") def test_raw_provider_file_id_retrieve_allowed_when_managed_files_not_required( diff --git a/tests/test_litellm/proxy/vector_store_files_endpoints/__init__.py b/tests/test_litellm/proxy/vector_store_files_endpoints/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py b/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py new file mode 100644 index 00000000000..c2bdb1d80f2 --- /dev/null +++ b/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py @@ -0,0 +1,83 @@ +""" +require_managed_files enforcement for litellm/proxy/vector_store_files_endpoints/endpoints.py + +Every vector-store file route (create, retrieve, content, update, delete) resolves its +caller-supplied file id through _update_request_data_with_managed_file_id before the +provider call, so the guard lives there once and covers all five. + +A raw provider file id has no ownership row, so without the guard it is attached to a +vector store or read back under the shared provider credentials with no tenant check. +""" + +import base64 +import os +import sys +from unittest.mock import MagicMock, patch + +import pytest + +sys.path.insert(0, os.path.abspath("../../../..")) + +from fastapi import HTTPException + +import litellm +from litellm.proxy.vector_store_files_endpoints.endpoints import ( + _update_request_data_with_managed_file_id, +) +from litellm.types.utils import SpecialEnums + +RAW_FILE_ID = "file-victim-abc123" + + +def _unified_file_id() -> str: + unified = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", "victim-unified-id", "gpt-4o-mini", RAW_FILE_ID, "gpt-4o-mini-id" + ) + return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") + + +def _resolve(file_id: str): + return _update_request_data_with_managed_file_id( + data={"vector_store_id": "vs-test", "file_id": file_id}, + file_id=file_id, + request=MagicMock(headers={}, query_params={}), + llm_router=None, + ) + + +def test_raw_file_id_rejected_when_managed_files_required(): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(HTTPException) as exc: + _resolve(RAW_FILE_ID) + + assert exc.value.status_code == 400 + + +def test_model_encoded_file_id_rejected_when_managed_files_required(): + """encode_file_id_with_model output is client-forgeable and carries no ownership + row, so it is not a managed file id.""" + from litellm.proxy.openai_files_endpoints.common_utils import encode_file_id_with_model + + encoded = encode_file_id_with_model(RAW_FILE_ID, "gpt-4o-mini", id_type="file") + + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(HTTPException) as exc: + _resolve(encoded) + + assert exc.value.status_code == 400 + + +def test_unified_file_id_allowed_when_managed_files_required(): + with patch.object(litellm, "require_managed_files", True): + data, original = _resolve(_unified_file_id()) + + assert original == _unified_file_id() + assert data["file_id"] == RAW_FILE_ID + + +def test_raw_file_id_allowed_when_managed_files_not_required(): + with patch.object(litellm, "require_managed_files", False): + data, original = _resolve(RAW_FILE_ID) + + assert original is None + assert data["file_id"] == RAW_FILE_ID From b01eacd67c3c8828c464f29ff5fbaee32f0735ce Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 01:36:30 -0700 Subject: [PATCH 038/120] ci: run the new fine-tuning and vector store file test dirs --- .github/workflows/test-unit-proxy-endpoints.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/test-unit-proxy-endpoints.yml b/.github/workflows/test-unit-proxy-endpoints.yml index 645996f779d..2ea3c521e8b 100644 --- a/.github/workflows/test-unit-proxy-endpoints.yml +++ b/.github/workflows/test-unit-proxy-endpoints.yml @@ -38,6 +38,8 @@ jobs: tests/test_litellm/proxy/google_endpoints tests/test_litellm/proxy/openai_files_endpoint tests/test_litellm/proxy/batches_endpoints + tests/test_litellm/proxy/fine_tuning_endpoints + tests/test_litellm/proxy/vector_store_files_endpoints tests/test_litellm/proxy/video_endpoints tests/test_litellm/proxy/response_api_endpoints tests/test_litellm/proxy/image_endpoints From 855c49d0ef01a09161f8d2ec195be01447669f1a Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 01:44:56 -0700 Subject: [PATCH 039/120] fix(proxy): skip prisma-dependent hooks when no database is attached --- .../storage_backend_service.py | 10 ++ litellm/proxy/utils.py | 5 + .../test_storage_backend_service.py | 127 ++++++++++++++++++ .../utils/proxy_logging/test_lifecycle.py | 94 +++++++++++-- 4 files changed, 228 insertions(+), 8 deletions(-) create mode 100644 tests/test_litellm/proxy/openai_files_endpoint/test_storage_backend_service.py diff --git a/litellm/proxy/openai_files_endpoints/storage_backend_service.py b/litellm/proxy/openai_files_endpoints/storage_backend_service.py index 4c301c96f30..e766f335071 100644 --- a/litellm/proxy/openai_files_endpoints/storage_backend_service.py +++ b/litellm/proxy/openai_files_endpoints/storage_backend_service.py @@ -68,6 +68,16 @@ class StorageBackendFileService: code=400, ) + if target_model_names: + managed_files_hook: Final = proxy_logging_obj.get_proxy_hook("managed_files") + if not isinstance(managed_files_hook, BaseFileEndpoints): + raise ProxyException( + message="Uploading with target_model_names requires a database-connected proxy, and this proxy has no database configured", + type="invalid_request_error", + param="target_model_names", + code=400, + ) + # Extract file information file_content: Final = file_data["content"] filename: Final = file_data.get("filename", "file") diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index e59c6adaf22..5f22ca021ac 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -544,6 +544,11 @@ class ProxyLogging: for hook in PROXY_HOOKS: proxy_hook = get_proxy_hook(hook) expected_args = inspect.getfullargspec(proxy_hook).args + if "prisma_client" in expected_args and prisma_client is None: + verbose_proxy_logger.debug( + "Skipping proxy hook %s: it requires a database and no prisma client is configured", hook + ) + continue passed_in_args: dict[str, Any] = {} if "internal_usage_cache" in expected_args: passed_in_args["internal_usage_cache"] = self.internal_usage_cache diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_storage_backend_service.py b/tests/test_litellm/proxy/openai_files_endpoint/test_storage_backend_service.py new file mode 100644 index 00000000000..07a85a70815 --- /dev/null +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_storage_backend_service.py @@ -0,0 +1,127 @@ +import pytest + +from litellm.llms.base_llm.files.transformation import BaseFileEndpoints +from litellm.proxy._types import ProxyException, UserAPIKeyAuth +from litellm.proxy.openai_files_endpoints import storage_backend_service +from litellm.proxy.openai_files_endpoints.storage_backend_service import ( + StorageBackendFileService, +) + + +class _RecordingStorageBackend: + def __init__(self): + self.upload_calls = [] + + async def upload_file(self, **kwargs): + self.upload_calls.append(kwargs) + return "https://storage.example/blob-1" + + +class _FakeManagedFilesHook(BaseFileEndpoints): + def __init__(self): + self.stored = [] + + async def acreate_file( + self, create_file_request, llm_router, target_model_names_list, litellm_parent_otel_span, user_api_key_dict + ): + raise NotImplementedError + + async def afile_retrieve(self, file_id, litellm_parent_otel_span, llm_router=None): + raise NotImplementedError + + async def afile_list(self, purpose, litellm_parent_otel_span, **data): + raise NotImplementedError + + async def afile_delete(self, file_id, litellm_parent_otel_span, llm_router, **data): + raise NotImplementedError + + async def afile_content(self, file_id, litellm_parent_otel_span, llm_router, **data): + raise NotImplementedError + + async def store_unified_file_id(self, **kwargs): + self.stored.append(kwargs) + + +class _FakeProxyLogging: + def __init__(self, hook): + self._hook = hook + + def get_proxy_hook(self, hook_name): + return self._hook if hook_name == "managed_files" else None + + +def _file_data(): + return {"content": b"x", "filename": "input.jsonl", "content_type": "application/jsonl"} + + +@pytest.mark.asyncio +async def test_upload_with_target_model_names_but_no_hook_raises_before_uploading(monkeypatch): + backend = _RecordingStorageBackend() + monkeypatch.setattr(storage_backend_service, "get_storage_backend", lambda name: backend) + + with pytest.raises(ProxyException) as exc_info: + await StorageBackendFileService.upload_file_to_storage_backend( + file_data=_file_data(), + target_storage="azure_storage", + target_model_names=["gpt-x"], + purpose="batch", + proxy_logging_obj=_FakeProxyLogging(hook=None), + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + snapshot = { + "code": exc_info.value.code, + "message_names_requirement": "requires a database-connected proxy" in exc_info.value.message, + "upload_calls": backend.upload_calls, + } + assert snapshot == {"code": "400", "message_names_requirement": True, "upload_calls": []} + + +@pytest.mark.asyncio +async def test_upload_without_target_model_names_skips_hook_requirement(monkeypatch): + backend = _RecordingStorageBackend() + monkeypatch.setattr(storage_backend_service, "get_storage_backend", lambda name: backend) + + file_object = await StorageBackendFileService.upload_file_to_storage_backend( + file_data=_file_data(), + target_storage="azure_storage", + target_model_names=[], + purpose="batch", + proxy_logging_obj=_FakeProxyLogging(hook=None), + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + snapshot = { + "upload_count": len(backend.upload_calls), + "id_prefix": file_object.id.split("-")[0], + } + assert snapshot == {"upload_count": 1, "id_prefix": "file"} + + +@pytest.mark.asyncio +async def test_upload_with_target_model_names_and_hook_stores_unified_id(monkeypatch): + backend = _RecordingStorageBackend() + monkeypatch.setattr(storage_backend_service, "get_storage_backend", lambda name: backend) + hook = _FakeManagedFilesHook() + + file_object = await StorageBackendFileService.upload_file_to_storage_backend( + file_data=_file_data(), + target_storage="azure_storage", + target_model_names=["gpt-x"], + purpose="batch", + proxy_logging_obj=_FakeProxyLogging(hook=hook), + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + snapshot = { + "upload_count": len(backend.upload_calls), + "store_count": len(hook.stored), + "stored_id_matches_response": hook.stored[0]["file_id"] == file_object.id, + "model_mappings": hook.stored[0]["model_mappings"], + } + assert snapshot == { + "upload_count": 1, + "store_count": 1, + "stored_id_matches_response": True, + "model_mappings": {"gpt-x": "https://storage.example/blob-1"}, + } diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_lifecycle.py b/tests/test_litellm/proxy/utils/proxy_logging/test_lifecycle.py index e33da672599..cf906259246 100644 --- a/tests/test_litellm/proxy/utils/proxy_logging/test_lifecycle.py +++ b/tests/test_litellm/proxy/utils/proxy_logging/test_lifecycle.py @@ -8,7 +8,6 @@ because they are direct dependents on the lifecycle state. from __future__ import annotations -import asyncio from typing import Any, Dict, List from unittest.mock import AsyncMock, MagicMock, patch @@ -17,7 +16,6 @@ import pytest import litellm from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache from litellm.proxy.utils import ( - InternalUsageCache, ProxyLogging, ) @@ -102,9 +100,7 @@ def test_update_values_with_no_args_is_noop(proxy_logging): def test_update_values_invalid_type_for_alerting_raises(proxy_logging): - proxy_logging.slack_alerting_instance = MagicMock( - update_values=MagicMock(side_effect=TypeError("bad type")) - ) + proxy_logging.slack_alerting_instance = MagicMock(update_values=MagicMock(side_effect=TypeError("bad type"))) with pytest.raises(TypeError): proxy_logging.update_values(alerting={"not": "a list"}) # type: ignore[arg-type] @@ -190,6 +186,90 @@ def test_add_proxy_hooks_registers_callbacks(proxy_logging, monkeypatch): } +def _stub_hook_classes(): + class _PrismaFreeHook: + def __init__(self, internal_usage_cache): + self.internal_usage_cache = internal_usage_cache + + class _PrismaRequiringHook: + def __init__(self, internal_usage_cache, prisma_client): + self.internal_usage_cache = internal_usage_cache + self.prisma_client = prisma_client + + class _PrismaOnlyHook: + def __init__(self, prisma_client): + self.prisma_client = prisma_client + + return { + "cache_control_check": _PrismaFreeHook, + "needs_db_hook": _PrismaRequiringHook, + "db_only_hook": _PrismaOnlyHook, + } + + +def test_add_proxy_hooks_skips_prisma_requiring_hook_when_no_db(proxy_logging, monkeypatch): + hook_classes = _stub_hook_classes() + registered: List[Any] = [] + + from litellm.proxy import utils as utils_mod + + monkeypatch.setattr(utils_mod, "PROXY_HOOKS", list(hook_classes.keys())) + monkeypatch.setattr(utils_mod, "get_proxy_hook", hook_classes.__getitem__) + monkeypatch.setattr( + litellm.logging_callback_manager, + "add_litellm_callback", + lambda cb: registered.append(cb), + ) + + with patch("litellm.proxy.proxy_server.prisma_client", None): + proxy_logging._add_proxy_hooks(llm_router=None) + + snapshot = { + "mapping_keys": list(proxy_logging.proxy_hook_mapping.keys()), + "registered_types": [type(r).__name__ for r in registered], + "needs_db_hook_lookup": proxy_logging.get_proxy_hook("needs_db_hook"), + "db_only_hook_lookup": proxy_logging.get_proxy_hook("db_only_hook"), + } + assert snapshot == { + "mapping_keys": ["cache_control_check"], + "registered_types": ["_PrismaFreeHook"], + "needs_db_hook_lookup": None, + "db_only_hook_lookup": None, + } + + +def test_add_proxy_hooks_registers_prisma_requiring_hook_with_db(proxy_logging, monkeypatch): + hook_classes = _stub_hook_classes() + registered: List[Any] = [] + fake_prisma = MagicMock() + + from litellm.proxy import utils as utils_mod + + monkeypatch.setattr(utils_mod, "PROXY_HOOKS", list(hook_classes.keys())) + monkeypatch.setattr(utils_mod, "get_proxy_hook", hook_classes.__getitem__) + monkeypatch.setattr( + litellm.logging_callback_manager, + "add_litellm_callback", + lambda cb: registered.append(cb), + ) + + with patch("litellm.proxy.proxy_server.prisma_client", fake_prisma): + proxy_logging._add_proxy_hooks(llm_router=None) + + snapshot = { + "mapping_keys": list(proxy_logging.proxy_hook_mapping.keys()), + "registered_count": len(registered), + "needs_db_hook_got_prisma": proxy_logging.proxy_hook_mapping["needs_db_hook"].prisma_client is fake_prisma, + "db_only_hook_got_prisma": proxy_logging.proxy_hook_mapping["db_only_hook"].prisma_client is fake_prisma, + } + assert snapshot == { + "mapping_keys": ["cache_control_check", "needs_db_hook", "db_only_hook"], + "registered_count": 3, + "needs_db_hook_got_prisma": True, + "db_only_hook_got_prisma": True, + } + + def test_add_proxy_hooks_unknown_hook_raises(proxy_logging, monkeypatch): from litellm.proxy import utils as utils_mod @@ -267,9 +347,7 @@ def test_init_litellm_callbacks_replaces_string_with_instance(proxy_logging, mon snapshot = { "replaced_first_item": litellm.callbacks[0] is sentinel_instance, "callbacks_grew_with_service": len(litellm.callbacks) >= 2, - "service_logging_appended": any( - "ServiceLogging" in type(c).__name__ for c in litellm.callbacks - ), + "service_logging_appended": any("ServiceLogging" in type(c).__name__ for c in litellm.callbacks), } assert snapshot == { "replaced_first_item": True, From 8c0556abf6965fde0de260da5ce424aa1daa1a56 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 02:42:34 -0700 Subject: [PATCH 040/120] fix(proxy): authenticate managed ids before routing --- litellm/proxy/batches_endpoints/endpoints.py | 21 ++++- .../proxy/fine_tuning_endpoints/endpoints.py | 25 +++++- .../openai_files_endpoints/common_utils.py | 58 ++++++++++--- .../openai_files_endpoints/files_endpoints.py | 21 ++++- .../vector_store_files_endpoints/endpoints.py | 56 +++++++++--- .../proxy/batches_endpoints/test_endpoints.py | 56 ++++++++++++ .../fine_tuning_endpoints/test_endpoints.py | 46 +++++++++- .../test_files_endpoint.py | 36 +++++++- .../test_endpoints.py | 87 ++++++++++++++++--- 9 files changed, 355 insertions(+), 51 deletions(-) diff --git a/litellm/proxy/batches_endpoints/endpoints.py b/litellm/proxy/batches_endpoints/endpoints.py index c9f66c5a48b..aef1c5ac17e 100644 --- a/litellm/proxy/batches_endpoints/endpoints.py +++ b/litellm/proxy/batches_endpoints/endpoints.py @@ -177,7 +177,12 @@ async def create_batch( } input_file_id: Final = _create_batch_data.get("input_file_id", None) - validate_managed_id_requirement(resource_id=input_file_id, resource_kind="file") + await validate_managed_id_requirement( + resource_id=input_file_id, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) unified_file_id: str | Literal[False] = False model_from_file_id = None @@ -394,7 +399,12 @@ async def retrieve_batch( data: dict = {} try: - validate_managed_id_requirement(resource_id=batch_id, resource_kind="batch") + await validate_managed_id_requirement( + resource_id=batch_id, + resource_kind="batch", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) model_from_id: Final = decode_model_from_file_id(batch_id) _retrieve_batch_request: Final = RetrieveBatchRequest( batch_id=batch_id, @@ -843,7 +853,12 @@ async def cancel_batch( data: dict = {} try: - validate_managed_id_requirement(resource_id=batch_id, resource_kind="batch") + await validate_managed_id_requirement( + resource_id=batch_id, + resource_kind="batch", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) # Check for encoded batch ID with model info model_from_id: Final = decode_model_from_file_id(batch_id) diff --git a/litellm/proxy/fine_tuning_endpoints/endpoints.py b/litellm/proxy/fine_tuning_endpoints/endpoints.py index 87e9895eed0..a13ad00713d 100644 --- a/litellm/proxy/fine_tuning_endpoints/endpoints.py +++ b/litellm/proxy/fine_tuning_endpoints/endpoints.py @@ -135,10 +135,17 @@ async def create_fine_tuning_job( ## CHECK IF MANAGED FILE ID unified_file_id: str | Literal[False] = False training_file: Final = fine_tuning_request.training_file - validate_managed_id_requirement(resource_id=training_file, resource_kind="file") - validate_managed_id_requirement( + await validate_managed_id_requirement( + resource_id=training_file, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) + await validate_managed_id_requirement( resource_id=fine_tuning_request.validation_file, resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), ) response: LiteLLMFineTuningJob | None = None if training_file: @@ -252,7 +259,12 @@ async def retrieve_fine_tuning_job( try: if premium_user is not True: raise ValueError(f"Only premium users can use this endpoint + {CommonProxyErrors.not_premium_user.value}") - validate_managed_id_requirement(resource_id=fine_tuning_job_id, resource_kind="fine-tuning job") + await validate_managed_id_requirement( + resource_id=fine_tuning_job_id, + resource_kind="fine-tuning job", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) ( @@ -520,7 +532,12 @@ async def cancel_fine_tuning_job( try: if premium_user is not True: raise ValueError(f"Only premium users can use this endpoint + {CommonProxyErrors.not_premium_user.value}") - validate_managed_id_requirement(resource_id=fine_tuning_job_id, resource_kind="fine-tuning job") + await validate_managed_id_requirement( + resource_id=fine_tuning_job_id, + resource_kind="fine-tuning job", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) ( diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index 143bd5bc6b5..56e986c89cf 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -4,7 +4,7 @@ import re from collections.abc import Mapping from dataclasses import dataclass, field from types import MappingProxyType -from typing import TYPE_CHECKING, Final, Literal, Optional +from typing import TYPE_CHECKING, Final, Literal, Optional, Protocol, runtime_checkable from litellm.repositories.table_repositories import ( ManagedFileRepository, @@ -22,6 +22,21 @@ if TYPE_CHECKING: from litellm.types.utils import LiteLLMBatch +@runtime_checkable +class ManagedResourceAccessChecker(Protocol): + async def can_user_call_unified_file_id( + self, + unified_file_id: str, + user_api_key_dict: "UserAPIKeyAuth", + ) -> bool: ... + + async def can_user_call_unified_object_id( + self, + unified_object_id: str, + user_api_key_dict: "UserAPIKeyAuth", + ) -> bool: ... + + def _is_base64_encoded_unified_file_id(b64_uid: str) -> str | Literal[False]: # Ensure b64_uid is a string and not a mock object if not isinstance(b64_uid, str): @@ -881,20 +896,24 @@ def validate_managed_files_requirement( ) -def validate_managed_id_requirement( +async def validate_managed_id_requirement( resource_id: str | None, resource_kind: Literal["file", "batch", "fine-tuning job"], + user_api_key_dict: "UserAPIKeyAuth", + managed_files_obj: object | None, ) -> None: """ Enforce proxy-level managed resources on every route that accepts a provider-issued id - when ``litellm.require_managed_files`` is enabled. + when ``litellm.require_managed_files`` is enabled, and authenticate managed ids against + the caller's stored ownership record. Ownership is only recorded for LiteLLM managed ids, so a raw provider id is forwarded to the provider under shared credentials without any tenant check; knowing another tenant's provider id would be enough to read, reuse, or destroy the object behind it. Raises: - HTTPException: 400 if ``resource_id`` is set and is not a LiteLLM managed id. + HTTPException: 400 for a raw id, 403 for an inaccessible managed id, or 500 when + ownership validation is unavailable. """ from fastapi import HTTPException @@ -906,16 +925,33 @@ def validate_managed_id_requirement( if not resource_id: return - if _is_base64_encoded_unified_file_id(resource_id): + if not _is_base64_encoded_unified_file_id(resource_id): + raise HTTPException( + status_code=400, + detail=( + f"Raw provider {resource_kind} ids cannot be used when require_managed_files is enabled in " + f"litellm_settings. Use the LiteLLM managed {resource_kind} id returned when the " + f"{resource_kind} was created." + ), + ) + + if not isinstance(managed_files_obj, ManagedResourceAccessChecker): + raise HTTPException( + status_code=500, + detail="Managed resource ownership validation is unavailable.", + ) + + can_access: Final = ( + await managed_files_obj.can_user_call_unified_file_id(resource_id, user_api_key_dict) + if resource_kind == "file" + else await managed_files_obj.can_user_call_unified_object_id(resource_id, user_api_key_dict) + ) + if can_access: return raise HTTPException( - status_code=400, - detail=( - f"Raw provider {resource_kind} ids cannot be used when require_managed_files is enabled in " - f"litellm_settings. Use the LiteLLM managed {resource_kind} id returned when the " - f"{resource_kind} was created." - ), + status_code=403, + detail=f"The caller does not have access to this managed {resource_kind} id.", ) diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index b5950c4f852..0acaac3bf5d 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -613,7 +613,12 @@ async def get_file_content( data: dict = {"file_id": file_id} try: - validate_managed_id_requirement(resource_id=file_id, resource_kind="file") + await validate_managed_id_requirement( + resource_id=file_id, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) # Include original request and headers in the data base_llm_response_processor: Final = ProxyBaseLLMRequestProcessing(data=data) @@ -911,7 +916,12 @@ async def get_file( data: dict = {"file_id": file_id} try: - validate_managed_id_requirement(resource_id=file_id, resource_kind="file") + await validate_managed_id_requirement( + resource_id=file_id, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) custom_llm_provider: Final = ( provider @@ -1103,7 +1113,12 @@ async def delete_file( data: dict = {"file_id": file_id} try: - validate_managed_id_requirement(resource_id=file_id, resource_kind="file") + await validate_managed_id_requirement( + resource_id=file_id, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + ) custom_llm_provider: Final = ( provider diff --git a/litellm/proxy/vector_store_files_endpoints/endpoints.py b/litellm/proxy/vector_store_files_endpoints/endpoints.py index f8fdf607292..c9b89bcd390 100644 --- a/litellm/proxy/vector_store_files_endpoints/endpoints.py +++ b/litellm/proxy/vector_store_files_endpoints/endpoints.py @@ -30,10 +30,12 @@ if TYPE_CHECKING: router: Final = APIRouter() -def _update_request_data_with_managed_file_id( +async def _update_request_data_with_managed_file_id( data: dict, file_id: str, request: Request, + user_api_key_dict: UserAPIKeyAuth, + managed_files_obj: object | None, llm_router: Optional["Router"] = None, ) -> tuple[dict, str | None]: """ @@ -69,7 +71,12 @@ def _update_request_data_with_managed_file_id( validate_managed_id_requirement, ) - validate_managed_id_requirement(resource_id=file_id, resource_kind="file") + await validate_managed_id_requirement( + resource_id=file_id, + resource_kind="file", + user_api_key_dict=user_api_key_dict, + managed_files_obj=managed_files_obj, + ) # First, check if this is a unified managed file ID (base64 encoded) decoded_id: Final = is_base64_encoded_unified_id(file_id) @@ -514,8 +521,13 @@ async def vector_store_file_create( # Handle managed file IDs if present in request body original_managed_file_id = None if "file_id" in data: - data, original_managed_file_id = _update_request_data_with_managed_file_id( - data=data, file_id=data["file_id"], request=request, llm_router=llm_router + data, original_managed_file_id = await _update_request_data_with_managed_file_id( + data=data, + file_id=data["file_id"], + request=request, + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + llm_router=llm_router, ) # Then handle managed vector store IDs @@ -712,8 +724,13 @@ async def vector_store_file_retrieve( ) # Handle managed file IDs first - data, original_managed_file_id = _update_request_data_with_managed_file_id( - data=data, file_id=file_id, request=request, llm_router=llm_router + data, original_managed_file_id = await _update_request_data_with_managed_file_id( + data=data, + file_id=file_id, + request=request, + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + llm_router=llm_router, ) # Then handle managed vector store IDs @@ -814,8 +831,13 @@ async def vector_store_file_content( ) # Handle managed file IDs first - data, original_managed_file_id = _update_request_data_with_managed_file_id( - data=data, file_id=file_id, request=request, llm_router=llm_router + data, original_managed_file_id = await _update_request_data_with_managed_file_id( + data=data, + file_id=file_id, + request=request, + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + llm_router=llm_router, ) # Then handle managed vector store IDs @@ -916,8 +938,13 @@ async def vector_store_file_update( ) # Handle managed file IDs first - data, original_managed_file_id = _update_request_data_with_managed_file_id( - data=data, file_id=file_id, request=request, llm_router=llm_router + data, original_managed_file_id = await _update_request_data_with_managed_file_id( + data=data, + file_id=file_id, + request=request, + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + llm_router=llm_router, ) # Then handle managed vector store IDs @@ -1018,8 +1045,13 @@ async def vector_store_file_delete( ) # Handle managed file IDs first - data, original_managed_file_id = _update_request_data_with_managed_file_id( - data=data, file_id=file_id, request=request, llm_router=llm_router + data, original_managed_file_id = await _update_request_data_with_managed_file_id( + data=data, + file_id=file_id, + request=request, + user_api_key_dict=user_api_key_dict, + managed_files_obj=proxy_logging_obj.get_proxy_hook("managed_files"), + llm_router=llm_router, ) # Then handle managed vector store IDs diff --git a/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py b/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py index 18ca604f88d..f9193db143e 100644 --- a/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/batches_endpoints/test_endpoints.py @@ -2275,6 +2275,37 @@ def _unified_batch_id(model_id: str = "azure/gpt-4o", batch_id: str = "batch-pro return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") +def _unified_file_id() -> str: + import base64 + + from litellm.types.utils import SpecialEnums + + unified = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", "managed-id", "gpt-4o-mini", "file-provider-id", "gpt-4o-mini-id" + ) + return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") + + +@dataclass(frozen=True) +class ManagedResourceAccessCheckerStub: + file_access: bool = True + object_access: bool = True + + async def can_user_call_unified_file_id( + self, + unified_file_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return self.file_access + + async def can_user_call_unified_object_id( + self, + unified_object_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return self.object_access + + @pytest.mark.asyncio async def test_create__raw_input_file_id_rejected_when_managed_files_required(harness): set_body( @@ -2334,6 +2365,27 @@ async def test_create__raw_input_file_id_allowed_when_managed_files_not_required assert harness.acreate_kwargs()["input_file_id"] == "file-victim-abc123" +@pytest.mark.asyncio +async def test_create__other_teams_unified_input_file_id_rejected(harness): + set_body( + harness, + { + "input_file_id": _unified_file_id(), + "endpoint": "/v1/chat/completions", + "completion_window": "24h", + }, + ) + harness.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub(file_access=False) + + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await call_create(harness) + + assert exc.value.code == "403" + harness.litellm_acreate.assert_not_called() + harness.router_acreate.assert_not_called() + + @pytest.mark.asyncio async def test_retrieve__raw_batch_id_rejected_when_managed_files_required(retrieve_harness): with patch.object(litellm, "require_managed_files", True): @@ -2347,6 +2399,8 @@ async def test_retrieve__raw_batch_id_rejected_when_managed_files_required(retri @pytest.mark.asyncio async def test_retrieve__unified_batch_id_allowed_when_managed_files_required(retrieve_harness): + retrieve_harness.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): await call_retrieve(retrieve_harness, _unified_batch_id()) @@ -2366,6 +2420,8 @@ async def test_cancel__raw_batch_id_rejected_when_managed_files_required(cancel_ @pytest.mark.asyncio async def test_cancel__unified_batch_id_allowed_when_managed_files_required(cancel_harness): + cancel_harness.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): await call_cancel(cancel_harness, _unified_batch_id()) diff --git a/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py b/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py index 35c202057e7..b54787bf428 100644 --- a/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/fine_tuning_endpoints/test_endpoints.py @@ -14,6 +14,7 @@ import base64 import os import sys from contextlib import ExitStack +from dataclasses import dataclass from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -78,10 +79,31 @@ class FakeRequest: return {} +@dataclass(frozen=True) +class ManagedResourceAccessCheckerStub: + file_access: bool = True + object_access: bool = True + + async def can_user_call_unified_file_id( + self, + unified_file_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return self.file_access + + async def can_user_call_unified_object_id( + self, + unified_object_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return self.object_access + + class Seams: - def __init__(self, router: MagicMock, litellm_calls: dict[str, AsyncMock]): + def __init__(self, router: MagicMock, litellm_calls: dict[str, AsyncMock], logging: MagicMock): self.router = router self.litellm_calls = litellm_calls + self.logging = logging def assert_no_provider_call(self) -> None: for name, mock in self.litellm_calls.items(): @@ -126,7 +148,7 @@ def seams(): stack.enter_context(patch.object(proxy_server, "proxy_config", MagicMock())) stack.enter_context(patch.object(proxy_server, "version", "test-version")) stack.enter_context(patch.object(endpoints, "fine_tuning_config", [{"custom_llm_provider": "openai"}])) - yield Seams(router=router, litellm_calls=litellm_calls) + yield Seams(router=router, litellm_calls=litellm_calls, logging=logging) async def _create(training_file: str, validation_file: str | None = None): @@ -176,6 +198,8 @@ async def test_create__raw_training_file_rejected_when_managed_files_required(se async def test_create__raw_validation_file_rejected_when_managed_files_required(seams): """The validation file is uploaded and readable exactly like the training file, so a managed training_file must not smuggle a raw validation_file past the guard.""" + seams.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): with pytest.raises(ProxyException) as exc: await _create(_unified_file_id(), validation_file=RAW_FILE_ID) @@ -186,12 +210,26 @@ async def test_create__raw_validation_file_rejected_when_managed_files_required( @pytest.mark.asyncio async def test_create__unified_training_file_allowed_when_managed_files_required(seams): + seams.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): await _create(_unified_file_id()) assert seams.router.acreate_fine_tuning_job.call_count == 1 +@pytest.mark.asyncio +async def test_create__other_teams_unified_training_file_rejected(seams): + seams.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub(file_access=False) + + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(ProxyException) as exc: + await _create(_unified_file_id()) + + assert exc.value.code == "403" + seams.assert_no_provider_call() + + @pytest.mark.asyncio async def test_create__raw_training_file_allowed_when_managed_files_not_required(seams): with patch.object(litellm, "require_managed_files", False): @@ -212,6 +250,8 @@ async def test_retrieve__raw_job_id_rejected_when_managed_files_required(seams): @pytest.mark.asyncio async def test_retrieve__unified_job_id_allowed_when_managed_files_required(seams): + seams.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): await _retrieve(_unified_job_id()) @@ -230,6 +270,8 @@ async def test_cancel__raw_job_id_rejected_when_managed_files_required(seams): @pytest.mark.asyncio async def test_cancel__unified_job_id_allowed_when_managed_files_required(seams): + seams.logging.get_proxy_hook.return_value = ManagedResourceAccessCheckerStub() + with patch.object(litellm, "require_managed_files", True): await _cancel(_unified_job_id()) diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py index 2e15da7590a..e68e7102fce 100644 --- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py @@ -3107,24 +3107,52 @@ def _unified_managed_file_id() -> str: return base64.urlsafe_b64encode(unified_id.encode()).decode().rstrip("=") -def test_require_managed_files_allows_unified_managed_file_id(monkeypatch): +class _ManagedResourceAccessCheckerStub: + async def can_user_call_unified_file_id( + self, + unified_file_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return True + + async def can_user_call_unified_object_id( + self, + unified_object_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return True + + +@pytest.mark.asyncio +async def test_require_managed_files_allows_owned_unified_managed_file_id(monkeypatch): from litellm.proxy.openai_files_endpoints.common_utils import ( validate_managed_id_requirement, ) monkeypatch.setattr("litellm.require_managed_files", True) - validate_managed_id_requirement(resource_id=_unified_managed_file_id(), resource_kind="file") + await validate_managed_id_requirement( + resource_id=_unified_managed_file_id(), + resource_kind="file", + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test", user_id="owner-user"), + managed_files_obj=_ManagedResourceAccessCheckerStub(), + ) -def test_managed_file_id_requirement_is_opt_in(monkeypatch): +@pytest.mark.asyncio +async def test_managed_file_id_requirement_is_opt_in(monkeypatch): from litellm.proxy.openai_files_endpoints.common_utils import ( validate_managed_id_requirement, ) monkeypatch.setattr("litellm.require_managed_files", False) - validate_managed_id_requirement(resource_id="file-victim-abc123", resource_kind="file") + await validate_managed_id_requirement( + resource_id="file-victim-abc123", + resource_kind="file", + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + managed_files_obj=None, + ) def test_raw_provider_file_id_retrieve_allowed_when_managed_files_not_required( diff --git a/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py b/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py index c2bdb1d80f2..da5dd1934e4 100644 --- a/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/vector_store_files_endpoints/test_endpoints.py @@ -5,13 +5,15 @@ Every vector-store file route (create, retrieve, content, update, delete) resolv caller-supplied file id through _update_request_data_with_managed_file_id before the provider call, so the guard lives there once and covers all five. -A raw provider file id has no ownership row, so without the guard it is attached to a -vector store or read back under the shared provider credentials with no tenant check. +A raw or forged managed-looking file id has no ownership row, so without the guard it +is attached to a vector store or read back under shared provider credentials. """ import base64 import os import sys +from dataclasses import dataclass +from typing import Literal from unittest.mock import MagicMock, patch import pytest @@ -21,12 +23,35 @@ sys.path.insert(0, os.path.abspath("../../../..")) from fastapi import HTTPException import litellm +from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.vector_store_files_endpoints.endpoints import ( _update_request_data_with_managed_file_id, ) from litellm.types.utils import SpecialEnums RAW_FILE_ID = "file-victim-abc123" +CALLER = UserAPIKeyAuth(api_key="sk-test", user_id="attacker-user", team_id="team-b") + + +@dataclass(frozen=True) +class ManagedResourceAccessCheckerStub: + file_access: Literal["allow", "deny", "missing"] + + async def can_user_call_unified_file_id( + self, + unified_file_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + if self.file_access == "missing": + raise HTTPException(status_code=404, detail=f"File not found: {unified_file_id}") + return self.file_access == "allow" + + async def can_user_call_unified_object_id( + self, + unified_object_id: str, + user_api_key_dict: UserAPIKeyAuth, + ) -> bool: + return False def _unified_file_id() -> str: @@ -36,24 +61,31 @@ def _unified_file_id() -> str: return base64.urlsafe_b64encode(unified.encode()).decode().rstrip("=") -def _resolve(file_id: str): - return _update_request_data_with_managed_file_id( +async def _resolve( + file_id: str, + file_access: Literal["allow", "deny", "missing"] = "allow", +): + return await _update_request_data_with_managed_file_id( data={"vector_store_id": "vs-test", "file_id": file_id}, file_id=file_id, request=MagicMock(headers={}, query_params={}), + user_api_key_dict=CALLER, + managed_files_obj=ManagedResourceAccessCheckerStub(file_access=file_access), llm_router=None, ) -def test_raw_file_id_rejected_when_managed_files_required(): +@pytest.mark.asyncio +async def test_raw_file_id_rejected_when_managed_files_required(): with patch.object(litellm, "require_managed_files", True): with pytest.raises(HTTPException) as exc: - _resolve(RAW_FILE_ID) + await _resolve(RAW_FILE_ID) assert exc.value.status_code == 400 -def test_model_encoded_file_id_rejected_when_managed_files_required(): +@pytest.mark.asyncio +async def test_model_encoded_file_id_rejected_when_managed_files_required(): """encode_file_id_with_model output is client-forgeable and carries no ownership row, so it is not a managed file id.""" from litellm.proxy.openai_files_endpoints.common_utils import encode_file_id_with_model @@ -62,22 +94,53 @@ def test_model_encoded_file_id_rejected_when_managed_files_required(): with patch.object(litellm, "require_managed_files", True): with pytest.raises(HTTPException) as exc: - _resolve(encoded) + await _resolve(encoded) assert exc.value.status_code == 400 -def test_unified_file_id_allowed_when_managed_files_required(): +@pytest.mark.asyncio +async def test_forged_unified_file_id_rejected_without_ownership_record(): + forged_id = _unified_file_id() + data = {"vector_store_id": "vs-test", "file_id": forged_id} + with patch.object(litellm, "require_managed_files", True): - data, original = _resolve(_unified_file_id()) + with pytest.raises(HTTPException) as exc: + await _update_request_data_with_managed_file_id( + data=data, + file_id=forged_id, + request=MagicMock(headers={}, query_params={}), + user_api_key_dict=CALLER, + managed_files_obj=ManagedResourceAccessCheckerStub(file_access="missing"), + llm_router=None, + ) + + assert exc.value.status_code == 404 + assert data["file_id"] == forged_id + + +@pytest.mark.asyncio +async def test_other_teams_unified_file_id_rejected(): + with patch.object(litellm, "require_managed_files", True): + with pytest.raises(HTTPException) as exc: + await _resolve(_unified_file_id(), file_access="deny") + + assert exc.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_owned_unified_file_id_allowed_when_managed_files_required(): + with patch.object(litellm, "require_managed_files", True): + data, original = await _resolve(_unified_file_id()) assert original == _unified_file_id() assert data["file_id"] == RAW_FILE_ID -def test_raw_file_id_allowed_when_managed_files_not_required(): +@pytest.mark.asyncio +async def test_raw_file_id_allowed_when_managed_files_not_required(): with patch.object(litellm, "require_managed_files", False): - data, original = _resolve(RAW_FILE_ID) + data, original = await _resolve(RAW_FILE_ID) assert original is None assert data["file_id"] == RAW_FILE_ID From f038be22dbaaf34d4ba695b40c0651d6d576effa Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 03:25:35 -0700 Subject: [PATCH 041/120] build(lint): rename make pre-commit to make check with a working-tree fallback --- CLAUDE.md | 4 +- Makefile | 18 ++- scripts/install_git_hooks.sh | 2 +- scripts/pre_commit_lint.sh | 144 ++++++++++++++------- tests/e2e/CONTRIBUTING.md | 2 +- tests/test_litellm/test_pre_commit_lint.py | 90 ++++++++++++- 6 files changed, 201 insertions(+), 59 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 59929143c46..0354e3def53 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -41,7 +41,9 @@ Python max line length is 120, not 88 When you fix violations gated by `ruff-strict-budget.json`, `type-discipline-budget.json`, or `basedpyright-code-budget.json`, run `make lint-budget-update` and commit the lowered limits so the ceilings ratchet down instead of leaving stale headroom. It measures the working tree, so it must contain exactly the fixes you're committing -`make pre-commit` saves its complete output to a log file in .git (overwriting previous pre-commit logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice +Run `make check` (formerly `make pre-commit`, which still works as an alias) before every commit, merge commits included. It runs the CI-gating lint scoped to your staged files, so stage everything you intend to commit first; it warns about changed files you left unstaged and names the checks that were skipped because of them. With nothing staged it instead checks the working tree's diff against the merge base with origin/litellm_internal_staging, which is how you predict the CI lint on an already-committed branch, e.g. right after a merge commit + +`make check` saves its complete output to a log file in .git (overwriting previous logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice If you're trying to create a new function that relies on untyped stuff, instead of adding more Any's and pushing `reportAny` / `reportExplicitAny` closer to their basedpyright ceilings, just validate it in the caller with Pydantic (a model or `TypeAdapter` that returns the typed thing or raises will do) and then pass the now typed variable in diff --git a/Makefile b/Makefile index 493828571b7..94d8c875af5 100644 --- a/Makefile +++ b/Makefile @@ -8,7 +8,7 @@ lint-basedpyright lint-e2e-basedpyright lint-basedpyright-budget-update lint-type-discipline lint-type-discipline-budget-update \ lint-ruff-budget lint-ruff-budget-update lint-budget-update lint-gate \ install-dev install-proxy-dev install-test-deps install-hooks \ - install-helm-unittest check-circular-imports check-import-safety pre-commit \ + install-helm-unittest check-circular-imports check-import-safety check pre-commit \ lint-install lint-fetch-base bootstrap # Default target @@ -22,7 +22,8 @@ help: @echo " make install-test-deps - Install the full local test environment" @echo " make install-helm-unittest - Install helm unittest plugin" @echo " make install-hooks - Install git hooks (Conventional Commits + Branches)" - @echo " make pre-commit - Run CI-equivalent lint on staged files (run before committing)" + @echo " make check - Run CI-equivalent lint on staged files, or on the diff vs the base branch when nothing is staged" + @echo " make pre-commit - Legacy alias for make check" @echo " make format - Apply ruff format code formatting" @echo " make format-check - Check ruff format code formatting (matches CI)" @echo " make lint - Run all linting (Ruff, basedpyright, format check, circular imports, import safety)" @@ -236,13 +237,20 @@ lint-checks: lint-format-check-changed lint-ruff lint-gate lint-type-discipline # Faster linting for local development (only checks changed code) lint-dev: lint-format-changed check-circular-imports check-import-safety -# Run the gating CI checks against your staged files right before committing. Mirrors +# Run the gating CI checks against your changes. Scopes to staged files when anything +# is staged (warning about changed files left unstaged); with nothing staged it falls +# back to the working tree's diff against the merge base with the base branch, so a +# fresh merge commit or an unstaged working tree still gets checked. Mirrors # test-linting.yml (Python), test-litellm-ui-build.yml's frontend-lint (dashboard), and -# check-ui-api-types.yml (API-type drift), skipping any whose files you didn't stage. +# check-ui-api-types.yml (API-type drift), skipping any whose files aren't in scope. # Not auto-installed as a git hook so it never slows an unrelated human commit. -pre-commit: bootstrap +check: bootstrap ./scripts/pre_commit_lint.sh +pre-commit: + @echo "make pre-commit is a legacy alias; use make check" >&2 + @$(MAKE) check + # Testing targets test: install-test-deps $(UV_RUN) pytest tests/ diff --git a/scripts/install_git_hooks.sh b/scripts/install_git_hooks.sh index 7ea8c3ff2e9..8f4e79e4ddd 100755 --- a/scripts/install_git_hooks.sh +++ b/scripts/install_git_hooks.sh @@ -35,7 +35,7 @@ These hooks enforce Conventional Commits and Conventional Branches. Bypass with --no-verify when you need to (e.g. for emergency hotfixes). The CI-equivalent lint is deliberately not installed as an auto-firing hook -(it can take minutes); run it on demand with 'make pre-commit' before committing. +(it can take minutes); run it on demand with 'make check' before committing. To uninstall: git config --unset core.hooksPath EOF diff --git a/scripts/pre_commit_lint.sh b/scripts/pre_commit_lint.sh index af8335e0e84..1bf7fe17832 100755 --- a/scripts/pre_commit_lint.sh +++ b/scripts/pre_commit_lint.sh @@ -1,18 +1,25 @@ #!/usr/bin/env bash # -# pre_commit_lint.sh — shift CI lint left. Run it (via `make pre-commit`) right -# before `git commit`; it inspects your staged files and runs only the matching -# gating CI checks, so a clean run means a green CI lint: -# - litellm/ Python staged -> `make lint` (test-linting.yml's lint job) -# - tests/e2e Python staged -> `make lint-e2e-basedpyright` (test-linting.yml's e2e type-check step) -# + raw HTTP client ban (test-code-quality.yml's check_e2e_no_raw_requests) -# - dashboard staged -> prettier + eslint + lint budgets (test-litellm-ui-build.yml's frontend-lint) -# - proxy/types staged -> regenerate dashboard API types and fail on drift (check-ui-api-types.yml) +# pre_commit_lint.sh — shift CI lint left. Run it (via `make check`, formerly +# `make pre-commit`) before `git commit`, or after committing (e.g. a merge +# commit) to predict CI for the branch. It picks the files in scope and runs +# only the matching gating CI checks, so a clean run means a green CI lint: +# - anything staged -> scope is the staged files; changed-but-unstaged files +# whose checks were skipped are called out +# - nothing staged -> scope is the working tree's diff against the merge base +# with origin/litellm_internal_staging, untracked files included +# The per-area checks: +# - litellm/ Python -> `make lint` (test-linting.yml's lint job) +# - tests/e2e Python -> `make lint-e2e-basedpyright` (test-linting.yml's e2e type-check step) +# + raw HTTP client ban (test-code-quality.yml's check_e2e_no_raw_requests) +# - dashboard -> prettier + eslint + lint budgets (test-litellm-ui-build.yml's frontend-lint) +# - proxy/types -> regenerate dashboard API types and fail on drift (check-ui-api-types.yml) # -# Each block is skipped when no matching files are staged, so unrelated commits stay -# fast. This is intentionally not auto-installed as a git hook (see scripts/install_git_hooks.sh): -# the dashboard and basedpyright passes can take minutes, so it's run on demand rather -# than firing on every human commit. It is hook-compatible if you want that anyway: +# Each block is skipped when no matching files are in scope, so unrelated commits +# stay fast. This is intentionally not auto-installed as a git hook (see +# scripts/install_git_hooks.sh): the dashboard and basedpyright passes can take +# minutes, so it's run on demand rather than firing on every human commit. It is +# hook-compatible if you want that anyway: # `ln -s ../../scripts/pre_commit_lint.sh .git/hooks/pre-commit`. set -eu @@ -20,17 +27,17 @@ set -eu if [ -z "${PRE_COMMIT_LINT_INNER:-}" ]; then log_file=$(git rev-parse --path-format=absolute --git-path pre_commit_lint.log) if : > "$log_file" 2>/dev/null; then - echo "pre-commit: logging full output to $log_file" + echo "check: logging full output to $log_file" PRE_COMMIT_LINT_INNER=1 "$0" "$@" 2>&1 | tee "$log_file" pipe_status=("${PIPESTATUS[@]}") if [ "${pipe_status[1]}" -eq 0 ]; then - echo "pre-commit: full log: $log_file" + echo "check: full log: $log_file" else - echo "pre-commit: WARNING - writing $log_file failed; the log may be incomplete" >&2 + echo "check: WARNING - writing $log_file failed; the log may be incomplete" >&2 fi exit "${pipe_status[0]}" fi - echo "pre-commit: WARNING - cannot write $log_file; output will not be saved" >&2 + echo "check: WARNING - cannot write $log_file; output will not be saved" >&2 PRE_COMMIT_LINT_INNER=1 exec "$0" "$@" fi @@ -38,38 +45,79 @@ repo_root=$(git rev-parse --show-toplevel) cd "$repo_root" staged=$(git diff --cached --name-only --diff-filter=ACMR) -staged_match() { printf '%s\n' "$staged" | grep -E "$1" || true; } +unstaged=$(git diff --name-only) +untracked=$(git ls-files --others --exclude-standard) + +if [ -n "$staged" ]; then + scope=$staged +else + git fetch --quiet origin litellm_internal_staging 2>/dev/null || true + merge_base=$(git merge-base origin/litellm_internal_staging HEAD 2>/dev/null) || { + echo "check: cannot resolve the merge base with origin/litellm_internal_staging." >&2 + echo " Fix: git fetch origin litellm_internal_staging" >&2 + exit 1 + } + scope=$(printf '%s\n' "$(git diff --name-only --diff-filter=ACMR "$merge_base")" "$untracked" | sed '/^$/d' | sort -u) + if [ -z "$scope" ]; then + echo "check: nothing to check (no staged files, no working-tree changes, no branch changes vs origin/litellm_internal_staging)" + exit 0 + fi + echo "check: nothing staged; scoping to the working tree's diff against the merge base with origin/litellm_internal_staging:" + printf '%s\n' "$scope" | sed 's/^/ /' +fi + +scope_match() { printf '%s\n' "$scope" | grep -E "$1" || true; } + +litellm_py_pattern='^litellm/.*\.py$' +e2e_py_pattern='^tests/e2e/.*\.py$' +spec_pattern='^(litellm/(proxy|types)/.*|ui/litellm-dashboard/(scripts/gen-api-types\.mjs|package\.json|package-lock\.json|src/lib/http/schema\.d\.ts))$' +ui_prettier_pattern='^ui/litellm-dashboard/.*\.(js|jsx|ts|tsx|mjs|cjs|json|css|scss|md|mdx|yml|yaml|html)$' +ui_eslint_pattern='^ui/litellm-dashboard/.*\.(js|jsx|ts|tsx|mjs|cjs)$' # CI's lint job (test-linting.yml) only inspects litellm/, so a tests-only or # scripts-only commit can't turn it red; scope the trigger there to skip the slow # make lint when it couldn't catch anything. -litellm_py_files=$(staged_match '^litellm/.*\.py$') -e2e_py_files=$(staged_match '^tests/e2e/.*\.py$') +litellm_py_files=$(scope_match "$litellm_py_pattern") +e2e_py_files=$(scope_match "$e2e_py_pattern") # ruff format (and CI's format step) skip enterprise; the rest of make lint covers it. fmt_files=$(printf '%s\n' "$litellm_py_files" | grep -v '^litellm/enterprise/' || true) # check-ui-api-types.yml triggers on any file under litellm/proxy or litellm/types # (Prisma schema and configs included, not just Python) plus the generator and its # lockfiles, so match that whole trigger set rather than a Python subset. -spec_files=$(staged_match '^(litellm/(proxy|types)/.*|ui/litellm-dashboard/(scripts/gen-api-types\.mjs|package\.json|package-lock\.json|src/lib/http/schema\.d\.ts))$') +spec_files=$(scope_match "$spec_pattern") # CI's frontend-lint runs prettier over a wider extension set than eslint; keep that # split so this flags exactly what the job would. -ui_prettier_files=$(staged_match '^ui/litellm-dashboard/.*\.(js|jsx|ts|tsx|mjs|cjs|json|css|scss|md|mdx|yml|yaml|html)$') -ui_eslint_files=$(staged_match '^ui/litellm-dashboard/.*\.(js|jsx|ts|tsx|mjs|cjs)$') +ui_prettier_files=$(scope_match "$ui_prettier_pattern") +ui_eslint_files=$(scope_match "$ui_eslint_pattern") -# CI lints the committed tree, so this script predicts CI for what you have STAGED -# (every trigger above reads `git diff --cached`). The tools it runs, though, read -# the working tree, so unstaged edits to tracked files and untracked files fold -# into the result and a green/red here won't match a commit of just the staged -# changes. There's no safe way to lint the index in place, so surface the gap -# instead of hiding it: stage everything you intend to commit before trusting a -# pass. This only warns; it never blocks or touches your changes. -unstaged=$(git diff --name-only) -untracked=$(git ls-files --others --exclude-standard) -if [ -n "$unstaged" ] || [ -n "$untracked" ]; then - echo "pre-commit: NOTE - unstaged/untracked changes are included in these checks but" >&2 - echo " won't be in a commit of only your staged changes, so this result may differ from" >&2 - echo " CI. Stage everything you intend to commit (git add) for an accurate prediction:" >&2 - printf '%s\n' "$unstaged" "$untracked" | sed '/^$/d' | sed 's/^/ /' >&2 +# CI lints the committed tree, so with staged files this script predicts CI for +# what you have STAGED (every trigger above reads `git diff --cached`). The tools +# it runs, though, read the working tree, so unstaged edits to tracked files and +# untracked files fold into the result and a green/red here won't match a commit +# of just the staged changes. There's no safe way to lint the index in place, so +# surface the gap instead of hiding it: stage everything you intend to commit +# before trusting a pass. This only warns; it never blocks or touches your changes. +if [ -n "$staged" ]; then + not_staged=$(printf '%s\n' "$unstaged" "$untracked" | sed '/^$/d' | sort -u) + if [ -n "$not_staged" ]; then + echo "check: NOTE - unstaged/untracked changes are included in these checks but" >&2 + echo " won't be in a commit of only your staged changes, so this result may differ from" >&2 + echo " CI. Stage everything you intend to commit (git add) for an accurate prediction:" >&2 + printf '%s\n' "$not_staged" | sed 's/^/ /' >&2 + fi + warn_skipped() { + local check_name=$1 pattern=$2 triggered=$3 + [ -n "$triggered" ] && return 0 + local missed + missed=$(printf '%s\n' "$not_staged" | grep -E "$pattern" || true) + [ -z "$missed" ] && return 0 + echo "check: SKIPPED $check_name because these changed files are not staged:" >&2 + printf '%s\n' "$missed" | sed 's/^/ /' >&2 + } + warn_skipped "Python lint (make lint)" "$litellm_py_pattern" "$litellm_py_files" + warn_skipped "tests/e2e checks (basedpyright + raw HTTP client ban)" "$e2e_py_pattern" "$e2e_py_files" + warn_skipped "dashboard lint (prettier + eslint + lint budgets)" "$ui_prettier_pattern" "$ui_prettier_files" + warn_skipped "dashboard API-type sync (npm run gen:api)" "$spec_pattern" "$spec_files" fi lint_dashboard() { @@ -114,15 +162,15 @@ bootstrap_hint() { python_checks() { local rc=0 - echo "pre-commit: linting Python (make lint)" - make lint || { echo "✗ Python lint failed. Fix the reds above, then re-run make pre-commit." >&2; rc=1; } + echo "check: linting Python (make lint)" + make lint || { echo "✗ Python lint failed. Fix the reds above, then re-run make check." >&2; rc=1; } # `make lint` format-checks files in origin/base...HEAD, which at pre-commit time - # predates the staged change, so format-check the staged litellm files directly to + # predates the staged change, so format-check the scoped litellm files directly to # cover a brand-new commit before it lands. if [ -n "$fmt_files" ]; then - echo "pre-commit: ruff format --check (staged litellm files)" + echo "check: ruff format --check (scoped litellm files)" printf '%s\n' "$fmt_files" | xargs uv run --no-sync ruff format --check --exclude '/enterprise/' \ - || { echo "✗ Unformatted staged files. Fix with: make format, then re-stage." >&2; rc=1; } + || { echo "✗ Unformatted files in scope. Fix with: make format, then re-stage." >&2; rc=1; } fi return $rc } @@ -146,18 +194,18 @@ if [ -n "$litellm_py_files" ]; then fi if [ -n "$e2e_py_files" ] && [ -z "$litellm_py_files" ]; then - echo "pre-commit: type-checking tests/e2e (make lint-e2e-basedpyright)" - make lint-e2e-basedpyright || { echo "✗ tests/e2e basedpyright failed. Fix the errors above, then re-run make pre-commit." >&2; status=1; } + echo "check: type-checking tests/e2e (make lint-e2e-basedpyright)" + make lint-e2e-basedpyright || { echo "✗ tests/e2e basedpyright failed. Fix the errors above, then re-run make check." >&2; status=1; } fi if [ -n "$e2e_py_files" ]; then - echo "pre-commit: checking tests/e2e raw HTTP client ban (check_e2e_no_raw_requests)" + echo "check: checking tests/e2e raw HTTP client ban (check_e2e_no_raw_requests)" uv run --no-sync python tests/code_coverage_tests/check_e2e_no_raw_requests.py \ - || { echo "✗ Raw HTTP client import in tests/e2e. Route the call through tests/e2e/e2e_http.py, then re-run make pre-commit." >&2; status=1; } + || { echo "✗ Raw HTTP client import in tests/e2e. Route the call through tests/e2e/e2e_http.py, then re-run make check." >&2; status=1; } fi dashboard_checks() { - echo "pre-commit: linting dashboard (prettier + eslint + lint budgets)" + echo "check: linting dashboard (prettier + eslint + lint budgets)" if [ ! -d ui/litellm-dashboard/node_modules ]; then echo "✗ ui/litellm-dashboard/node_modules is missing; dashboard lint cannot run." >&2 bootstrap_hint @@ -176,7 +224,7 @@ fi genapi_checks() { local status=0 - echo "pre-commit: checking dashboard API types are in sync (npm run gen:api)" + echo "check: checking dashboard API types are in sync (npm run gen:api)" # gen-api-types.mjs imports litellm.proxy.proxy_server, which needs the proxy deps # and an up-to-date Prisma client; check-ui-api-types.yml installs those and runs # prisma generate before gen:api, so mirror that here or a stale client can mask @@ -194,7 +242,7 @@ genapi_checks() { status=1 elif ( cd ui/litellm-dashboard && LITELLM_PYTHON="uv run --no-sync python" npm run gen:api ); then if ! git diff --quiet -- ui/litellm-dashboard/src/lib/http/schema.d.ts; then - echo "✗ Dashboard API types are stale; regenerated src/lib/http/schema.d.ts. Stage it and commit; re-run make pre-commit only if other checks failed too." >&2 + echo "✗ Dashboard API types are stale; regenerated src/lib/http/schema.d.ts. Stage it and commit; re-run make check only if other checks failed too." >&2 status=1 fi else diff --git a/tests/e2e/CONTRIBUTING.md b/tests/e2e/CONTRIBUTING.md index 5999e5772d1..dc69bd42171 100644 --- a/tests/e2e/CONTRIBUTING.md +++ b/tests/e2e/CONTRIBUTING.md @@ -138,7 +138,7 @@ Mark live tests with `@pytest.mark.e2e` (on the class or the module). Pure cover Before you push -1. Run `make lint-e2e-basedpyright` (or `make pre-commit` with your changes staged); the harness is fully typed and the gate allows zero basedpyright errors, enforced in CI on any PR touching `tests/e2e/**/*.py` +1. Run `make lint-e2e-basedpyright` (or `make check` with your changes staged); the harness is fully typed and the gate allows zero basedpyright errors, enforced in CI on any PR touching `tests/e2e/**/*.py` 2. Add the models your test needs to the config your local proxy loads diff --git a/tests/test_litellm/test_pre_commit_lint.py b/tests/test_litellm/test_pre_commit_lint.py index 274d3c517f6..12b8d338b49 100644 --- a/tests/test_litellm/test_pre_commit_lint.py +++ b/tests/test_litellm/test_pre_commit_lint.py @@ -129,6 +129,90 @@ def _run(repo: Path, bin_dir: Path, extra_env: dict[str, str]) -> subprocess.Com ) +def _commit_all(repo: Path, message: str) -> None: + subprocess.run(["git", "add", "."], cwd=repo, check=True) + subprocess.run( + ["git", "-c", "user.email=t@t", "-c", "user.name=t", "commit", "-qm", message], + cwd=repo, + check=True, + ) + + +def _set_base_ref(repo: Path) -> None: + subprocess.run( + ["git", "update-ref", "refs/remotes/origin/litellm_internal_staging", "HEAD"], + cwd=repo, + check=True, + ) + + +def test_nothing_staged_scopes_to_working_tree_diff_and_runs_checks(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + (repo / "litellm" / "foo.py").write_text("x = 2\n") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "nothing staged; scoping to the working tree's diff" in proc.stdout + assert "litellm/foo.py" in proc.stdout + assert "linting Python" in proc.stdout + + +def test_nothing_staged_checks_committed_branch_changes(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + (repo / "litellm" / "foo.py").write_text("x = 2\n") + _commit_all(repo, "branch change") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "nothing staged; scoping to the working tree's diff" in proc.stdout + assert "linting Python" in proc.stdout + + +def test_nothing_staged_includes_untracked_files_in_scope(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + (repo / "litellm" / "brand_new.py").write_text("z = 3\n") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "litellm/brand_new.py" in proc.stdout + assert "linting Python" in proc.stdout + + +def test_nothing_staged_and_no_changes_is_an_explicit_no_op(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "nothing to check" in proc.stdout + assert "linting Python" not in proc.stdout + + +def test_nothing_staged_without_a_base_ref_fails_with_a_fetch_hint(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 1 + assert "cannot resolve the merge base" in proc.stdout + assert "git fetch origin litellm_internal_staging" in proc.stdout + + +def test_partial_staging_warns_which_checks_were_skipped(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + (repo / "notes.md").write_text("hi\n") + subprocess.run(["git", "add", "notes.md"], cwd=repo, check=True) + (repo / "litellm" / "foo.py").write_text("x = 4\n") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "SKIPPED Python lint (make lint)" in proc.stdout + assert "litellm/foo.py" in proc.stdout + assert "linting Python" not in proc.stdout + + def test_python_dashboard_and_gen_api_blocks_run_concurrently_with_grouped_output(tmp_path: Path) -> None: repo, bin_dir = _sandbox(tmp_path) barrier_dir = tmp_path / "barrier" @@ -159,8 +243,8 @@ def test_full_output_is_saved_to_a_log_file_in_the_git_dir(tmp_path: Path) -> No assert "linting dashboard" in log assert "API types" in log assert "unstaged/untracked changes" in log - assert f"pre-commit: full log: {log_file}" in proc.stdout - assert "pre-commit: full log:" not in log + assert f"check: full log: {log_file}" in proc.stdout + assert "check: full log:" not in log def test_unwritable_log_warns_and_falls_back_to_running_without_one(tmp_path: Path) -> None: @@ -170,7 +254,7 @@ def test_unwritable_log_warns_and_falls_back_to_running_without_one(tmp_path: Pa assert proc.returncode == 0, proc.stdout + proc.stderr assert "linting Python" in proc.stdout assert "output will not be saved" in proc.stderr - assert "pre-commit: full log:" not in proc.stdout + assert "check: full log:" not in proc.stdout failing = _run(repo, bin_dir, {"STUB_FAIL": "make-lint"}) assert failing.returncode == 1 From 20eb7bb43718958bfac0e06225ead0b5ddb1d5b7 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 08:14:29 -0700 Subject: [PATCH 042/120] chore(typing): clear 1.4k basedpyright Any errors across 21 hotspot files Typing-only pass over the 21 files with the highest reportAny and reportExplicitAny density among self-contained modules: management endpoints, guardrails, streaming internals, response transformations, MCP server, enterprise managed files, and vector store management. Whole-tree basedpyright drops from 148,648 to 146,984 errors (-1,664), with reportAny -1,111 and reportExplicitAny -296. No rule increased repo-wide and no file regressed on any rule. No cast(), type: ignore, noqa, suppression comments, or new Any annotations anywhere in the diff, and no runtime behavior changes. Budgets ratcheted by make lint-budget-update: basedpyright -1,663 across 48 rules, ruff-strict -86, type-discipline -110. --- basedpyright-code-budget.json | 28 +- .../proxy/hooks/managed_files.py | 524 +++++++----------- .../pydantic_ai_agents/transformation.py | 265 +++++---- .../websearch_interception/handler.py | 12 +- .../litellm_core_utils/realtime_streaming.py | 55 +- .../streaming_chunk_builder_utils.py | 97 +++- .../adapters/handler.py | 84 +-- litellm/llms/azure/assistants.py | 36 +- .../mcp_server/rest_endpoints.py | 2 +- .../proxy/_experimental/mcp_server/server.py | 91 +-- .../proxy/guardrails/guardrail_endpoints.py | 173 ++++-- .../cisco_ai_defense/cisco_ai_defense.py | 100 ++-- .../unified_guardrail/unified_guardrail.py | 136 +++-- litellm/proxy/hooks/litellm_skills/main.py | 60 +- .../key_management_endpoints.py | 77 +-- .../model_management_endpoints.py | 160 ++++-- .../management_endpoints/team_endpoints.py | 224 +++++--- litellm/proxy/management_endpoints/ui_sso.py | 187 +++++-- .../proxy_setting_endpoints.py | 123 +++- .../management_endpoints.py | 72 ++- .../transformation.py | 184 +++--- litellm/responses/streaming_iterator.py | 51 +- ruff-strict-budget.json | 10 +- type-discipline-budget.json | 8 +- 24 files changed, 1644 insertions(+), 1115 deletions(-) diff --git a/basedpyright-code-budget.json b/basedpyright-code-budget.json index 32b8eb3d4d0..0385f7a96e7 100644 --- a/basedpyright-code-budget.json +++ b/basedpyright-code-budget.json @@ -1,9 +1,9 @@ { "reportAny": { - "limit": 28842 + "limit": 27731 }, "reportArgumentType": { - "limit": 2634 + "limit": 2626 }, "reportAssignmentType": { "limit": 329 @@ -12,7 +12,7 @@ "limit": 514 }, "reportCallIssue": { - "limit": 117 + "limit": 116 }, "reportConstantRedefinition": { "limit": 40 @@ -24,7 +24,7 @@ "limit": 19 }, "reportExplicitAny": { - "limit": 9103 + "limit": 8807 }, "reportFunctionMemberAccess": { "limit": 7 @@ -54,10 +54,10 @@ "limit": 0 }, "reportMissingParameterType": { - "limit": 5843 + "limit": 5835 }, "reportMissingTypeArgument": { - "limit": 15816 + "limit": 15790 }, "reportMissingTypeStubs": { "limit": 40 @@ -72,7 +72,7 @@ "limit": 0 }, "reportOptionalMemberAccess": { - "limit": 1078 + "limit": 1077 }, "reportOptionalOperand": { "limit": 0 @@ -90,28 +90,28 @@ "limit": 8 }, "reportReturnType": { - "limit": 218 + "limit": 217 }, "reportTypedDictNotRequiredAccess": { - "limit": 27 + "limit": 26 }, "reportUndefinedVariable": { "limit": 0 }, "reportUnknownArgumentType": { - "limit": 45098 + "limit": 45063 }, "reportUnknownLambdaType": { "limit": 113 }, "reportUnknownMemberType": { - "limit": 39826 + "limit": 39773 }, "reportUnknownParameterType": { - "limit": 20237 + "limit": 20207 }, "reportUnknownVariableType": { - "limit": 31371 + "limit": 31281 }, "reportUnnecessaryCast": { "limit": 122 @@ -123,7 +123,7 @@ "limit": 5 }, "reportUnnecessaryIsInstance": { - "limit": 864 + "limit": 862 }, "reportUntypedBaseClass": { "limit": 0 diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index d8318962633..f0914240f79 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -3,9 +3,21 @@ import base64 import json -from collections.abc import Mapping +from collections.abc import Mapping, Sequence from types import MappingProxyType -from typing import TYPE_CHECKING, Any, Dict, Final, List, Literal, Optional, Union, cast +from typing import ( + TYPE_CHECKING, + Any, + Dict, + Final, + List, + Literal, + Optional, + Protocol, + TypedDict, + Union, + cast, +) from uuid import NAMESPACE_URL, uuid5 from fastapi import HTTPException @@ -98,33 +110,76 @@ def _parse_managed_batch_row(row: "PrismaManagedObjectRow") -> Optional[LiteLLMB try: batch_obj: Final = LiteLLMBatch.model_validate(_decode_json_blob(row.file_object)) except Exception as e: - verbose_logger.warning( - f"Failed to parse batch object {row.unified_object_id}: {_sanitized_parse_error(e)}" - ) + verbose_logger.warning(f"Failed to parse batch object {row.unified_object_id}: {_sanitized_parse_error(e)}") return None batch_obj.id = row.unified_object_id return batch_obj -def _parse_managed_file_object( - raw_file_object: object, unified_file_id: str -) -> Optional[OpenAIFileObject]: +def _parse_managed_file_object(raw_file_object: object, unified_file_id: str) -> Optional[OpenAIFileObject]: if raw_file_object is None: return None try: return OpenAIFileObject.model_validate(raw_file_object) except Exception as e: - verbose_logger.warning( - f"Failed to parse managed file object {unified_file_id}: {_sanitized_parse_error(e)}" - ) + verbose_logger.warning(f"Failed to parse managed file object {unified_file_id}: {_sanitized_parse_error(e)}") return None +class _ManagedFileRow(Protocol): + unified_file_id: str + file_object: OpenAIFileObject + storage_backend: Optional[str] + storage_url: Optional[str] + created_by: Optional[str] + team_id: Optional[str] + + def model_dump(self) -> Mapping[str, object]: ... + + +class _ManagedFileTableActions(Protocol): + async def find_first(self, where: Mapping[str, object]) -> Optional[_ManagedFileRow]: ... + + async def find_many(self, where: Mapping[str, object]) -> Sequence[_ManagedFileRow]: ... + + async def upsert(self, where: Mapping[str, str], data: Mapping[str, Mapping[str, object]]) -> _ManagedFileRow: ... + + async def delete(self, where: Mapping[str, str]) -> Optional[_ManagedFileRow]: ... + + +class _ManagedObjectTableActions(Protocol): + async def find_first(self, where: Mapping[str, object]) -> "Optional[PrismaManagedObjectRow]": ... + + async def find_many( + self, + where: Mapping[str, object], + take: int, + order: Union[Mapping[str, str], Sequence[Mapping[str, str]]], + cursor: Mapping[str, str] = ..., + skip: int = ..., + ) -> "Sequence[PrismaManagedObjectRow]": ... + + async def upsert( + self, where: Mapping[str, str], data: Mapping[str, Mapping[str, object]] + ) -> "PrismaManagedObjectRow": ... + + +class _CursorPageArgs(TypedDict, total=False): + cursor: Mapping[str, str] + skip: int + + +def _managed_file_table(prisma_client: PrismaClient) -> _ManagedFileTableActions: + return prisma_client.db.litellm_managedfiletable + + +def _managed_object_table(prisma_client: PrismaClient) -> _ManagedObjectTableActions: + return prisma_client.db.litellm_managedobjecttable + + class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Class variables or attributes - def __init__( - self, internal_usage_cache: InternalUsageCache, prisma_client: PrismaClient - ): + def __init__(self, internal_usage_cache: InternalUsageCache, prisma_client: PrismaClient): self.internal_usage_cache = internal_usage_cache self.prisma_client = prisma_client @@ -143,9 +198,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_mappings: Dict[str, str], user_api_key_dict: UserAPIKeyAuth, ) -> None: - verbose_logger.info( - f"Storing LiteLLM Managed File object with id={file_id} in cache" - ) + verbose_logger.info(f"Storing LiteLLM Managed File object with id={file_id} in cache") if file_object is not None: litellm_managed_file_object = LiteLLM_ManagedFileTable( unified_file_id=file_id, @@ -196,13 +249,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): f"storage_url={db_data.get('storage_url')}" ) - result = await self.prisma_client.db.litellm_managedfiletable.upsert( + result = await _managed_file_table(self.prisma_client).upsert( where={"unified_file_id": file_id}, data={"create": db_data, "update": update_data}, ) - verbose_logger.debug( - f"LiteLLM Managed File object with id={file_id} stored in db: {result}" - ) + verbose_logger.debug(f"LiteLLM Managed File object with id={file_id} stored in db: {result}") async def store_unified_object_id( self, @@ -213,9 +264,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_purpose: Literal["batch", "fine-tune", "response"], user_api_key_dict: UserAPIKeyAuth, ) -> None: - verbose_logger.info( - f"Storing LiteLLM Managed {file_purpose} object with id={unified_object_id} in cache" - ) + verbose_logger.info(f"Storing LiteLLM Managed {file_purpose} object with id={unified_object_id} in cache") litellm_managed_object = LiteLLM_ManagedObjectTable( unified_object_id=unified_object_id, model_object_id=model_object_id, @@ -228,7 +277,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): litellm_parent_otel_span=litellm_parent_otel_span, ) - await self.prisma_client.db.litellm_managedobjecttable.upsert( + await _managed_object_table(self.prisma_client).upsert( where={"unified_object_id": unified_object_id}, data={ "create": { @@ -265,9 +314,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return LiteLLM_ManagedFileTable.model_validate(result) ## CHECK DB - db_object = await self.prisma_client.db.litellm_managedfiletable.find_first( - where={"unified_file_id": file_id} - ) + db_object = await _managed_file_table(self.prisma_client).find_first(where={"unified_file_id": file_id}) if db_object: return LiteLLM_ManagedFileTable.model_validate(db_object.model_dump()) @@ -277,9 +324,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): self, file_id: str, litellm_parent_otel_span: Optional[Span] = None ) -> OpenAIFileObject: ## get old value - initial_value = await self.prisma_client.db.litellm_managedfiletable.find_first( - where={"unified_file_id": file_id} - ) + initial_value = await _managed_file_table(self.prisma_client).find_first(where={"unified_file_id": file_id}) if initial_value is None: raise Exception(f"LiteLLM Managed File object with id={file_id} not found") ## delete old value @@ -288,15 +333,11 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): value=None, litellm_parent_otel_span=litellm_parent_otel_span, ) - await self.prisma_client.db.litellm_managedfiletable.delete( - where={"unified_file_id": file_id} - ) + await _managed_file_table(self.prisma_client).delete(where={"unified_file_id": file_id}) return initial_value.file_object - async def can_user_call_unified_file_id( - self, unified_file_id: str, user_api_key_dict: UserAPIKeyAuth - ) -> bool: - managed_file = await self.prisma_client.db.litellm_managedfiletable.find_first( + async def can_user_call_unified_file_id(self, unified_file_id: str, user_api_key_dict: UserAPIKeyAuth) -> bool: + managed_file = await _managed_file_table(self.prisma_client).find_first( where={"unified_file_id": unified_file_id} ) @@ -311,13 +352,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): detail=f"File not found: {unified_file_id}", ) - async def can_user_call_unified_object_id( - self, unified_object_id: str, user_api_key_dict: UserAPIKeyAuth - ) -> bool: - managed_object = ( - await self.prisma_client.db.litellm_managedobjecttable.find_first( - where={"unified_object_id": unified_object_id} - ) + async def can_user_call_unified_object_id(self, unified_object_id: str, user_api_key_dict: UserAPIKeyAuth) -> bool: + managed_object = await _managed_object_table(self.prisma_client).find_first( + where={"unified_object_id": unified_object_id} ) if managed_object: @@ -339,34 +376,28 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): provider: Optional[str] = None, target_model_names: Optional[str] = None, llm_router: Optional[Router] = None, - ) -> Dict[str, Any]: + ) -> Dict[str, object]: # Provider filtering is not supported for managed batches # This is because the encoded object ids stored in the managed objects table do not contain the provider information # To support provider filtering, we would need to store the provider information in the encoded object ids if provider: - raise Exception( - "Filtering by 'provider' is not supported when using managed batches." - ) + raise Exception("Filtering by 'provider' is not supported when using managed batches.") # Model name filtering is not supported for managed batches # This is because the encoded object ids stored in the managed objects table do not contain the model name # A hash of the model name + litellm_params for the model name is encoded as the model id. This is not sufficient to reliably map the target model names to the model ids. if target_model_names: - raise Exception( - "Filtering by 'target_model_names' is not supported when using managed batches." - ) + raise Exception("Filtering by 'target_model_names' is not supported when using managed batches.") owner_filter = build_owner_filter(user_api_key_dict) if owner_filter is None: return build_list_page([]) - where_clause: Dict[str, Any] = {"file_purpose": "batch", **owner_filter} + where_clause: Dict[str, object] = {"file_purpose": "batch", **owner_filter} if after: - cursor_row = ( - await self.prisma_client.db.litellm_managedobjecttable.find_first( - where={**where_clause, "unified_object_id": after} - ) + cursor_row = await _managed_object_table(self.prisma_client).find_first( + where={**where_clause, "unified_object_id": after} ) if cursor_row is None: raise HTTPException( @@ -375,11 +406,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) page_size: Final = min(limit or 20, 100) - cursor_args: Dict[str, Any] = ( - {"cursor": {"unified_object_id": after}, "skip": 1} if after else {} - ) + cursor_args: _CursorPageArgs = {"cursor": {"unified_object_id": after}, "skip": 1} if after else {} - batches = await self.prisma_client.db.litellm_managedobjecttable.find_many( + batches = await _managed_object_table(self.prisma_client).find_many( where=where_clause, take=page_size + 1, order=[{"created_at": "desc"}, {"unified_object_id": "desc"}], @@ -389,9 +418,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): has_more = len(batches) > page_size parsed_rows: Final = tuple( - (row, batch_obj) - for row in batches[:page_size] - if (batch_obj := _parse_managed_batch_row(row)) is not None + (row, batch_obj) for row in batches[:page_size] if (batch_obj := _parse_managed_batch_row(row)) is not None ) unified_id_by_raw_id: Final = await map_raw_file_ids_to_unified( raw_file_ids=frozenset( @@ -432,14 +459,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): verbose_proxy_logger=verbose_logger, user_api_key_dict=user_api_key_dict, db_batch_object=row, - unified_batch_id=_is_base64_encoded_unified_file_id( - row.unified_object_id - ), + unified_batch_id=_is_base64_encoded_unified_file_id(row.unified_object_id), ) except Exception as e: - verbose_logger.warning( - f"Failed to resolve managed file ids for batch {row.unified_object_id}: {e}" - ) + verbose_logger.warning(f"Failed to resolve managed file ids for batch {row.unified_object_id}: {e}") return None return batch_obj @@ -458,7 +481,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if owner_filter is None: return [] - file_ids = await self.prisma_client.db.litellm_managedfiletable.find_many( + file_ids = await _managed_file_table(self.prisma_client).find_many( where={ **owner_filter, "flat_model_file_ids": {"hasSome": model_object_ids}, @@ -467,27 +490,14 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return [ parsed_file_object.model_copy(update={"id": row.unified_file_id}) for row in file_ids - if ( - parsed_file_object := _parse_managed_file_object( - row.file_object, row.unified_file_id - ) - ) - is not None + if (parsed_file_object := _parse_managed_file_object(row.file_object, row.unified_file_id)) is not None ] - async def check_managed_file_id_access( - self, data: Dict, user_api_key_dict: UserAPIKeyAuth - ) -> bool: + async def check_managed_file_id_access(self, data: Dict, user_api_key_dict: UserAPIKeyAuth) -> bool: retrieve_file_id = cast(Optional[str], data.get("file_id")) - potential_file_id = ( - _is_base64_encoded_unified_file_id(retrieve_file_id) - if retrieve_file_id - else False - ) + potential_file_id = _is_base64_encoded_unified_file_id(retrieve_file_id) if retrieve_file_id else False if potential_file_id and retrieve_file_id: - if await self.can_user_call_unified_file_id( - retrieve_file_id, user_api_key_dict - ): + if await self.can_user_call_unified_file_id(retrieve_file_id, user_api_key_dict): return True else: raise HTTPException( @@ -496,9 +506,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) return False - async def check_file_ids_access( - self, file_ids: List[str], user_api_key_dict: UserAPIKeyAuth - ) -> None: + async def check_file_ids_access(self, file_ids: List[str], user_api_key_dict: UserAPIKeyAuth) -> None: """ Check if the user has access to a list of file IDs. Only checks managed (unified) file IDs. @@ -513,9 +521,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): for file_id in file_ids: is_unified_file_id = _is_base64_encoded_unified_file_id(file_id) if is_unified_file_id: - if not await self.can_user_call_unified_file_id( - file_id, user_api_key_dict - ): + if not await self.can_user_call_unified_file_id(file_id, user_api_key_dict): raise HTTPException( status_code=403, detail=f"User {user_api_key_dict.user_id} does not have access to the file {file_id}", @@ -543,10 +549,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ### HANDLE TRANSFORMATIONS ### # Check both completion and acompletion call types - is_completion_call = ( - call_type == CallTypes.completion.value - or call_type == CallTypes.acompletion.value - ) + is_completion_call = call_type == CallTypes.completion.value or call_type == CallTypes.acompletion.value if is_completion_call: messages = data.get("messages") @@ -559,9 +562,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Check if any files are stored in storage backends and need base64 conversion # This is needed for Vertex AI/Gemini which requires base64 content - is_vertex_ai = model and ( - "vertex_ai" in model or "gemini" in model.lower() - ) + is_vertex_ai = model and ("vertex_ai" in model or "gemini" in model.lower()) if is_vertex_ai: await self._convert_storage_files_to_base64( messages=messages, @@ -573,10 +574,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_ids, user_api_key_dict.parent_otel_span ) data["model_file_id_mapping"] = model_file_id_mapping - elif ( - call_type == CallTypes.aresponses.value - or call_type == CallTypes.responses.value - ): + elif call_type == CallTypes.aresponses.value or call_type == CallTypes.responses.value: # Handle managed files in responses API input and tools file_ids = [] @@ -603,23 +601,15 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if tools: unified_vs_ids = self.get_vector_store_ids_from_file_search_tools(tools) if unified_vs_ids: - await self.check_vector_store_ids_access( - unified_vs_ids, user_api_key_dict - ) + await self.check_vector_store_ids_access(unified_vs_ids, user_api_key_dict) elif call_type == CallTypes.afile_content.value: retrieve_file_id = cast(Optional[str], data.get("file_id")) - potential_file_id = ( - _is_base64_encoded_unified_file_id(retrieve_file_id) - if retrieve_file_id - else False - ) + potential_file_id = _is_base64_encoded_unified_file_id(retrieve_file_id) if retrieve_file_id else False if potential_file_id and "llm_output_file_id," in potential_file_id: model_id = self.get_model_id_from_unified_file_id(potential_file_id) if model_id: data["model"] = model_id - data["file_id"] = self.get_output_file_id_from_unified_file_id( - potential_file_id - ) + data["file_id"] = self.get_output_file_id_from_unified_file_id(potential_file_id) elif call_type == CallTypes.acreate_batch.value: input_file_id = cast(Optional[str], data.get("input_file_id")) if input_file_id: @@ -636,10 +626,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ): accessor_key: Optional[str] = None retrieve_object_id: Optional[str] = None - if ( - call_type == CallTypes.aretrieve_batch.value - or call_type == CallTypes.acancel_batch.value - ): + if call_type == CallTypes.aretrieve_batch.value or call_type == CallTypes.acancel_batch.value: accessor_key = "batch_id" elif ( call_type == CallTypes.acancel_fine_tuning_job.value @@ -651,32 +638,24 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): retrieve_object_id = cast(Optional[str], data.get(accessor_key)) potential_llm_object_id = ( - _is_base64_encoded_unified_file_id(retrieve_object_id) - if retrieve_object_id - else False + _is_base64_encoded_unified_file_id(retrieve_object_id) if retrieve_object_id else False ) if potential_llm_object_id and retrieve_object_id: ## VALIDATE USER HAS ACCESS TO THE OBJECT ## - if not await self.can_user_call_unified_object_id( - retrieve_object_id, user_api_key_dict - ): + if not await self.can_user_call_unified_object_id(retrieve_object_id, user_api_key_dict): raise HTTPException( status_code=403, detail=f"User {user_api_key_dict.user_id} does not have access to the object {retrieve_object_id}", ) ## for managed batch id - get the model id - potential_model_id = get_model_id_from_unified_batch_id( - potential_llm_object_id - ) + potential_model_id = get_model_id_from_unified_batch_id(potential_llm_object_id) if potential_model_id is None: raise Exception( f"LiteLLM Managed {accessor_key} with id={retrieve_object_id} is invalid - does not contain encoded model_id." ) data["model"] = potential_model_id - data[accessor_key] = get_batch_id_from_unified_batch_id( - potential_llm_object_id - ) + data[accessor_key] = get_batch_id_from_unified_batch_id(potential_llm_object_id) elif call_type == CallTypes.acreate_fine_tuning_job.value: input_file_id = cast(Optional[str], data.get("training_file")) if input_file_id: @@ -732,24 +711,18 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if accessor_key: input_file_id = cast(Optional[str], kwargs.get(accessor_key)) - model_file_id_mapping = cast( - Optional[Dict[str, Dict[str, str]]], kwargs.get("model_file_id_mapping") - ) + model_file_id_mapping = cast(Optional[Dict[str, Dict[str, str]]], kwargs.get("model_file_id_mapping")) # model_info may be at top-level or nested under litellm_metadata # (batch/file operations use litellm_metadata) model_id = cast(Optional[str], kwargs.get("model_info", {}).get("id", None)) if model_id is None: model_id = cast( Optional[str], - kwargs.get("litellm_metadata", {}) - .get("model_info", {}) - .get("id", None), + kwargs.get("litellm_metadata", {}).get("model_info", {}).get("id", None), ) mapped_file_id: Optional[str] = None if input_file_id and model_file_id_mapping and model_id: - mapped_file_id = model_file_id_mapping.get(input_file_id, {}).get( - model_id, None - ) + mapped_file_id = model_file_id_mapping.get(input_file_id, {}).get(model_id, None) if mapped_file_id: kwargs[accessor_key] = mapped_file_id @@ -775,9 +748,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_ids.append(file_id) return file_ids - def get_file_ids_from_responses_input( - self, input: Union[str, List[Dict[str, Any]]] - ) -> List[str]: + def get_file_ids_from_responses_input(self, input: Union[str, List[Dict[str, Any]]]) -> List[str]: """ Gets file ids from responses API input. @@ -809,19 +780,14 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): content = item.get("content") if isinstance(content, list): for content_item in content: - if ( - isinstance(content_item, dict) - and content_item.get("type") == "input_file" - ): + if isinstance(content_item, dict) and content_item.get("type") == "input_file": file_id = content_item.get("file_id") if file_id: file_ids.append(file_id) return file_ids - def get_file_ids_from_responses_tools( - self, tools: List[Dict[str, Any]] - ) -> List[str]: + def get_file_ids_from_responses_tools(self, tools: List[Dict[str, object]]) -> List[str]: """ Gets file ids from responses API tools parameter. @@ -854,9 +820,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return file_ids - def get_vector_store_ids_from_file_search_tools( - self, tools: List[Dict[str, Any]] - ) -> List[str]: + def get_vector_store_ids_from_file_search_tools(self, tools: List[Dict[str, object]]) -> List[str]: """ Extract unified vector_store_ids from file_search tools. @@ -949,9 +913,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ), ) - async def get_model_file_id_mapping( - self, file_ids: List[str], litellm_parent_otel_span: Span - ) -> dict: + async def get_model_file_id_mapping(self, file_ids: List[str], litellm_parent_otel_span: Span) -> dict: """ Get model-specific file IDs for a list of proxy file IDs. Returns a dictionary mapping litellm_proxy/ file_id -> model_id -> model_file_id @@ -981,9 +943,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Get all cache keys matching the pattern file_id:* for file_id in litellm_managed_file_ids: # Search for any cache key starting with this file_id - unified_file_object = await self.get_unified_file_id( - file_id, litellm_parent_otel_span - ) + unified_file_object = await self.get_unified_file_id(file_id, litellm_parent_otel_span) if unified_file_object: file_id_mapping[file_id] = unified_file_object.model_mappings @@ -1001,9 +961,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): raise Exception("LLM Router not initialized. Ensure models added to proxy.") responses = [] for model in target_model_names_list: - individual_response = await llm_router.acreate_file( - model=model, **_create_file_request - ) + individual_response = await llm_router.acreate_file(model=model, **_create_file_request) responses.append(individual_response) return responses @@ -1034,9 +992,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_mappings: Dict[str, str] = {} for file_object in responses: - model_file_id_mapping = file_object._hidden_params.get( - "model_file_id_mapping" - ) + model_file_id_mapping = file_object._hidden_params.get("model_file_id_mapping") if model_file_id_mapping and isinstance(model_file_id_mapping, dict): model_mappings.update(model_file_id_mapping) @@ -1051,17 +1007,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Emit Prometheus metrics for managed file creation prom_logger = self._get_prometheus_logger() if prom_logger: - first_model = ( - target_model_names_list[0] if target_model_names_list else None - ) + first_model = target_model_names_list[0] if target_model_names_list else None first_provider = "" if responses: - first_provider = ( - getattr(responses[0], "_hidden_params", {}).get( - "custom_llm_provider" - ) - or "" - ) + first_provider = getattr(responses[0], "_hidden_params", {}).get("custom_llm_provider") or "" prom_logger.record_managed_file_created( model=first_model or "", api_provider=first_provider, @@ -1104,9 +1053,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) # Convert to URL-safe base64 and strip padding - base64_unified_file_id = ( - base64.urlsafe_b64encode(unified_file_id.encode()).decode().rstrip("=") - ) + base64_unified_file_id = base64.urlsafe_b64encode(unified_file_id.encode()).decode().rstrip("=") ## CREATE RESPONSE OBJECT @@ -1123,46 +1070,26 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return response - def get_unified_generic_response_id( - self, model_id: str, generic_response_id: str - ) -> str: - unified_generic_response_id = ( - SpecialEnums.LITELLM_MANAGED_GENERIC_RESPONSE_COMPLETE_STR.value.format( - model_id, generic_response_id - ) - ) - return ( - base64.urlsafe_b64encode(unified_generic_response_id.encode()) - .decode() - .rstrip("=") + def get_unified_generic_response_id(self, model_id: str, generic_response_id: str) -> str: + unified_generic_response_id = SpecialEnums.LITELLM_MANAGED_GENERIC_RESPONSE_COMPLETE_STR.value.format( + model_id, generic_response_id ) + return base64.urlsafe_b64encode(unified_generic_response_id.encode()).decode().rstrip("=") def get_unified_batch_id(self, batch_id: str, model_id: str) -> str: - unified_batch_id = SpecialEnums.LITELLM_MANAGED_BATCH_COMPLETE_STR.value.format( - model_id, batch_id - ) + unified_batch_id = SpecialEnums.LITELLM_MANAGED_BATCH_COMPLETE_STR.value.format(model_id, batch_id) return base64.urlsafe_b64encode(unified_batch_id.encode()).decode().rstrip("=") - def get_unified_output_file_id( - self, output_file_id: str, model_id: str, model_name: Optional[str] - ) -> str: - deterministic_uuid: Final = uuid5( - uuid5(NAMESPACE_URL, model_id), output_file_id - ) - unified_output_file_id = ( - SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( - "application/json", - str(deterministic_uuid), - model_name or "", - output_file_id, - model_id, - ) - ) - return ( - base64.urlsafe_b64encode(unified_output_file_id.encode()) - .decode() - .rstrip("=") + def get_unified_output_file_id(self, output_file_id: str, model_id: str, model_name: Optional[str]) -> str: + deterministic_uuid: Final = uuid5(uuid5(NAMESPACE_URL, model_id), output_file_id) + unified_output_file_id = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", + str(deterministic_uuid), + model_name or "", + output_file_id, + model_id, ) + return base64.urlsafe_b64encode(unified_output_file_id.encode()).decode().rstrip("=") def get_model_id_from_unified_file_id(self, file_id: str) -> str: return file_id.split("llm_output_file_model_id,")[1].split(";")[0] @@ -1170,59 +1097,39 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): def get_output_file_id_from_unified_file_id(self, file_id: str) -> str: marker = "llm_output_file_id," if marker not in file_id: - raise ValueError( - f"Unified id does not contain {marker!r}: {file_id[:80]!r}" - ) + raise ValueError(f"Unified id does not contain {marker!r}: {file_id[:80]!r}") return file_id.split(marker, 1)[1].split(";")[0] async def async_post_call_success_hook( self, data: Dict, user_api_key_dict: UserAPIKeyAuth, response: LLMResponseTypes - ) -> Any: + ) -> LLMResponseTypes: if isinstance(response, LiteLLMBatch): ## Check if unified_file_id is in the response - unified_file_id = response._hidden_params.get( - "unified_file_id" - ) # managed file id - unified_batch_id = response._hidden_params.get( - "unified_batch_id" - ) # managed batch id + unified_file_id = response._hidden_params.get("unified_file_id") # managed file id + unified_batch_id = response._hidden_params.get("unified_batch_id") # managed batch id model_id = cast(Optional[str], response._hidden_params.get("model_id")) model_name = cast(Optional[str], response._hidden_params.get("model_name")) resolved_model_name = resolve_managed_output_file_model_name( - unified_input_file_id=unified_file_id - if isinstance(unified_file_id, str) - else response.input_file_id, + unified_input_file_id=unified_file_id if isinstance(unified_file_id, str) else response.input_file_id, fallback_model_name=model_name, ) original_response_id = response.id if (unified_batch_id or unified_file_id) and model_id: - response.id = self.get_unified_batch_id( - batch_id=response.id, model_id=model_id - ) + response.id = self.get_unified_batch_id(batch_id=response.id, model_id=model_id) # Handle both output_file_id and error_file_id for file_attr in ["output_file_id", "error_file_id"]: file_id_value = getattr(response, file_attr, None) if file_id_value and model_id: - decoded_output_file_id = _is_base64_encoded_unified_file_id( - file_id_value - ) - if ( - decoded_output_file_id - and "llm_output_file_id," in decoded_output_file_id - ): - provider_file_id = ( - self.get_output_file_id_from_unified_file_id( - decoded_output_file_id - ) - ) + decoded_output_file_id = _is_base64_encoded_unified_file_id(file_id_value) + if decoded_output_file_id and "llm_output_file_id," in decoded_output_file_id: + provider_file_id = self.get_output_file_id_from_unified_file_id(decoded_output_file_id) unified_file_id = file_id_value elif decoded_output_file_id: verbose_logger.warning( - f"Skipping {file_attr}={file_id_value!r}: " - "unified id is not a managed file output id" + f"Skipping {file_attr}={file_id_value!r}: unified id is not a managed file output id" ) continue else: @@ -1241,23 +1148,18 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Import module and use getattr for better testability with mocks import litellm.proxy.proxy_server as proxy_server_module - _llm_router = getattr( - proxy_server_module, "llm_router", None - ) + _llm_router = getattr(proxy_server_module, "llm_router", None) if _llm_router is not None and model_id: - _creds = ( - _llm_router.get_deployment_credentials_with_provider( - model_id - ) - or {} - ) + _creds = _llm_router.get_deployment_credentials_with_provider(model_id) or {} file_object = await litellm.afile_retrieve( file_id=provider_file_id, **_creds, ) else: file_object = await litellm.afile_retrieve( - custom_llm_provider=model_name.split("/")[0] if model_name and "/" in model_name else "openai", # type: ignore[arg-type] + custom_llm_provider=model_name.split("/")[0] + if model_name and "/" in model_name + else "openai", # type: ignore[arg-type] file_id=provider_file_id, ) verbose_logger.debug( @@ -1311,9 +1213,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): elif isinstance(response, LiteLLMFineTuningJob): ## Check if unified_file_id is in the response - unified_file_id = response._hidden_params.get( - "unified_file_id" - ) # managed file id + unified_file_id = response._hidden_params.get("unified_file_id") # managed file id unified_finetuning_job_id = response._hidden_params.get( "unified_finetuning_job_id" ) # managed finetuning job id @@ -1321,9 +1221,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_name = cast(Optional[str], response._hidden_params.get("model_name")) original_response_id = response.id if (unified_file_id or unified_finetuning_job_id) and model_id: - response.id = self.get_unified_generic_response_id( - model_id=model_id, generic_response_id=response.id - ) + response.id = self.get_unified_generic_response_id(model_id=model_id, generic_response_id=response.id) await self.store_unified_object_id( unified_object_id=response.id, file_object=response, @@ -1338,9 +1236,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): """ ## check if file object if hasattr(response, "data") and isinstance(response.data, list): - if all( - isinstance(file_object, FileObject) for file_object in response.data - ): + if all(isinstance(file_object, FileObject) for file_object in response.data): ## Get all file id's ## Check which file id's were created by the user ## Filter the response to only include the files created by the user @@ -1349,9 +1245,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_object.id for file_object in cast(List[FileObject], response.data) # type: ignore ] - user_created_file_ids = await self.get_user_created_file_ids( - user_api_key_dict, file_ids - ) + user_created_file_ids = await self.get_user_created_file_ids(user_api_key_dict, file_ids) ## Filter the response to only include the files created by the user response.data = user_created_file_ids # type: ignore return response @@ -1359,11 +1253,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return response async def afile_retrieve( - self, file_id: str, litellm_parent_otel_span: Optional[Span], llm_router=None + self, file_id: str, litellm_parent_otel_span: Optional[Span], llm_router: Optional[Router] = None ) -> OpenAIFileObject: - stored_file_object = await self.get_unified_file_id( - file_id, litellm_parent_otel_span - ) + stored_file_object = await self.get_unified_file_id(file_id, litellm_parent_otel_span) # Case 1 : This is not a managed file if not stored_file_object: @@ -1386,21 +1278,13 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): ) try: - model_id, model_file_id = next( - iter(stored_file_object.model_mappings.items()) - ) - credentials = ( - llm_router.get_deployment_credentials_with_provider(model_id) or {} - ) - response = await litellm.afile_retrieve( - file_id=model_file_id, **credentials - ) + model_id, model_file_id = next(iter(stored_file_object.model_mappings.items())) + credentials = llm_router.get_deployment_credentials_with_provider(model_id) or {} + response = await litellm.afile_retrieve(file_id=model_file_id, **credentials) response.id = file_id # Replace with unified ID return response except Exception as e: - raise Exception( - f"Failed to retrieve file {file_id} from provider: {str(e)}" - ) from e + raise Exception(f"Failed to retrieve file {file_id} from provider: {str(e)}") from e async def afile_list( self, @@ -1437,12 +1321,10 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): return False except Exception as e: - verbose_logger.warning( - f"Error checking batch polling configuration: {e}. Assuming disabled." - ) + verbose_logger.warning(f"Error checking batch polling configuration: {e}. Assuming disabled.") return False - async def _get_batches_referencing_file(self, file_id: str) -> List[Dict[str, Any]]: + async def _get_batches_referencing_file(self, file_id: str) -> List[Dict[str, object]]: """ Find batches that reference this file and still need cost tracking. Find batches that are in non-terminal state and have not yet been processed by CheckBatchCost. @@ -1458,9 +1340,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Get model-specific file IDs for this unified file ID if it's a managed file try: - model_file_id_mapping = await self.get_model_file_id_mapping( - [file_id], litellm_parent_otel_span=None - ) + model_file_id_mapping = await self.get_model_file_id_mapping([file_id], litellm_parent_otel_span=None) if model_file_id_mapping and file_id in model_file_id_mapping: # Add all provider file IDs for this unified file @@ -1468,8 +1348,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_ids_to_check.extend(provider_file_ids) except Exception as e: verbose_logger.debug( - f"Could not get model file ID mapping for {file_id}: {e}. " - f"Will only check unified file ID." + f"Could not get model file ID mapping for {file_id}: {e}. Will only check unified file ID." ) MAX_MATCHES_TO_RETURN = 10 @@ -1487,11 +1366,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): for batch in batches: try: # Parse the batch file_object to check for file references - batch_data = ( - json.loads(batch.file_object) - if isinstance(batch.file_object, str) - else batch.file_object - ) + batch_data = json.loads(batch.file_object) if isinstance(batch.file_object, str) else batch.file_object # Extract file IDs from batch # Batches typically reference the unified file ID in input_file_id @@ -1500,9 +1375,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): output_file_id = batch_data.get("output_file_id") error_file_id = batch_data.get("error_file_id") - referenced_file_ids = [ - fid for fid in [input_file_id, output_file_id, error_file_id] if fid - ] + referenced_file_ids = [fid for fid in [input_file_id, output_file_id, error_file_id] if fid] # Check if any referenced file ID matches the file we're trying to delete if any(ref_id in file_ids_to_check for ref_id in referenced_file_ids): @@ -1514,9 +1387,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): } ) except Exception as e: - verbose_logger.warning( - f"Error parsing batch object {batch.unified_object_id}: {e}" - ) + verbose_logger.warning(f"Error parsing batch object {batch.unified_object_id}: {e}") continue return referencing_batches @@ -1545,21 +1416,15 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): if referencing_batches: # File is referenced by non-terminal batches and polling is enabled - MAX_BATCHES_IN_ERROR = ( - 5 # Limit batches shown in error message for readability - ) + MAX_BATCHES_IN_ERROR = 5 # Limit batches shown in error message for readability # Show up to MAX_BATCHES_IN_ERROR in the error message batches_to_show = referencing_batches[:MAX_BATCHES_IN_ERROR] - batch_statuses = [ - f"{b['batch_id']}: {b['status']}" for b in batches_to_show - ] + batch_statuses = [f"{b['batch_id']}: {b['status']}" for b in batches_to_show] # Determine the count message count_message = f"{len(referencing_batches)}" - if ( - len(referencing_batches) >= 10 - ): # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file + if len(referencing_batches) >= 10: # MAX_MATCHES_TO_RETURN from _get_batches_referencing_file count_message = "10+" error_message = ( @@ -1600,23 +1465,17 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): await self._check_file_deletion_allowed(file_id) # file_id = convert_b64_uid_to_unified_uid(file_id) - model_file_id_mapping = await self.get_model_file_id_mapping( - [file_id], litellm_parent_otel_span - ) + model_file_id_mapping = await self.get_model_file_id_mapping([file_id], litellm_parent_otel_span) delete_response = None specific_model_file_id_mapping = model_file_id_mapping.get(file_id) if specific_model_file_id_mapping: # Remove conflicting keys from data to avoid duplicate keyword arguments - filtered_data = { - k: v for k, v in data.items() if k not in ("model", "file_id") - } + filtered_data = {k: v for k, v in data.items() if k not in ("model", "file_id")} for model_id, model_file_id in specific_model_file_id_mapping.items(): delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **filtered_data) # type: ignore - stored_file_object = await self.delete_unified_file_id( - file_id, litellm_parent_otel_span - ) + stored_file_object = await self.delete_unified_file_id(file_id, litellm_parent_otel_span) # Record successful deletion metric only on actual success if stored_file_object or delete_response: @@ -1643,9 +1502,8 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): Get the content of a file from first model that has it """ model_file_id_mapping = data.pop("model_file_id_mapping", None) - model_file_id_mapping = ( - model_file_id_mapping - or await self.get_model_file_id_mapping([file_id], litellm_parent_otel_span) + model_file_id_mapping = model_file_id_mapping or await self.get_model_file_id_mapping( + [file_id], litellm_parent_otel_span ) specific_model_file_id_mapping = model_file_id_mapping.get(file_id) @@ -1658,13 +1516,9 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # against the deployment's configured bucket, which they only # trust from this immutable server-side snapshot, never from # request params. - credentials = llm_router.get_deployment_credentials_with_provider( - model_id=model_id - ) + credentials = llm_router.get_deployment_credentials_with_provider(model_id=model_id) if credentials is not None: - data["_litellm_internal_model_credentials"] = cast( - Dict, MappingProxyType(dict(credentials)) - ) + data["_litellm_internal_model_credentials"] = cast(Dict, MappingProxyType(dict(credentials))) else: data.pop("_litellm_internal_model_credentials", None) return await llm_router.afile_content(model=model_id, file_id=provider_file_id, **data) # type: ignore @@ -1699,9 +1553,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Check database for storage backend info # IMPORTANT: The database stores the base64 encoded unified_file_id (not the decoded version) # So we query with the original file_id (which is base64 encoded) - db_file = await self.prisma_client.db.litellm_managedfiletable.find_first( - where={"unified_file_id": file_id} - ) + db_file = await _managed_file_table(self.prisma_client).find_first(where={"unified_file_id": file_id}) if not db_file or not db_file.storage_backend or not db_file.storage_url: continue @@ -1727,22 +1579,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): file_content = await storage_backend.download_file(storage_url) # Determine content type from file object - content_type = self._get_content_type_from_file_object( - db_file.file_object - ) + content_type = self._get_content_type_from_file_object(db_file.file_object) # Convert to base64 base64_data = base64.b64encode(file_content).decode("utf-8") base64_data_uri = f"data:{content_type};base64,{base64_data}" # Update messages to use base64 instead of file_id - self._update_messages_with_base64_data( - messages, file_id, base64_data_uri, content_type - ) + self._update_messages_with_base64_data(messages, file_id, base64_data_uri, content_type) except Exception as e: - verbose_logger.exception( - f"Error converting file {file_id} from storage backend to base64: {str(e)}" - ) + verbose_logger.exception(f"Error converting file {file_id} from storage backend to base64: {str(e)}") # Continue with other files even if one fails continue diff --git a/litellm/a2a_protocol/providers/pydantic_ai_agents/transformation.py b/litellm/a2a_protocol/providers/pydantic_ai_agents/transformation.py index 339da998d56..024e8c179c2 100644 --- a/litellm/a2a_protocol/providers/pydantic_ai_agents/transformation.py +++ b/litellm/a2a_protocol/providers/pydantic_ai_agents/transformation.py @@ -6,16 +6,33 @@ This module provides fake streaming by converting non-streaming responses into s """ import asyncio -from collections.abc import AsyncIterator -from typing import Any, Final, cast +from collections.abc import AsyncIterator, Mapping, Sequence +from typing import Any, Final, Protocol, cast, runtime_checkable from uuid import uuid4 +from pydantic import TypeAdapter + from litellm._logging import verbose_logger from litellm.llms.custom_httpx.http_handler import ( AsyncHTTPHandler, get_async_httpx_client, ) +_ANY_KEY_DICT_ADAPTER: Final = TypeAdapter(dict[object, object]) +_STR_KEY_DICT_ADAPTER: Final = TypeAdapter(dict[str, object]) +_LIST_ADAPTER: Final = TypeAdapter(list[object]) +_TEXT_ADAPTER: Final = TypeAdapter(str) + + +@runtime_checkable +class _SupportsModelDump(Protocol): + def model_dump(self, *, mode: str, exclude_none: bool) -> Mapping[str, object]: ... + + +@runtime_checkable +class _SupportsPydanticDict(Protocol): + def dict(self, *, exclude_none: bool) -> Mapping[str, object]: ... + class PydanticAITransformation: """ @@ -28,7 +45,7 @@ class PydanticAITransformation: """ @staticmethod - def _remove_none_values(obj: Any) -> Any: + def _remove_none_values(obj: object) -> object: """ Recursively remove None values from a dict/list structure. @@ -42,14 +59,18 @@ class PydanticAITransformation: Cleaned object with None values removed """ if isinstance(obj, dict): - return {k: PydanticAITransformation._remove_none_values(v) for k, v in obj.items() if v is not None} + typed_dict: Final = _ANY_KEY_DICT_ADAPTER.validate_python(obj) + return {k: PydanticAITransformation._remove_none_values(v) for k, v in typed_dict.items() if v is not None} elif isinstance(obj, list): - return [PydanticAITransformation._remove_none_values(item) for item in obj if item is not None] + typed_list: Final = _LIST_ADAPTER.validate_python(obj) + return [PydanticAITransformation._remove_none_values(item) for item in typed_list if item is not None] else: return obj @staticmethod - def _params_to_dict(params: Any) -> dict[str, Any]: + def _params_to_dict( + params: "_SupportsModelDump | _SupportsPydanticDict | Mapping[str, object]", + ) -> Mapping[str, object]: """ Convert params to a dict, handling Pydantic models. @@ -59,10 +80,10 @@ class PydanticAITransformation: Returns: Dict representation of params """ - if hasattr(params, "model_dump"): + if isinstance(params, _SupportsModelDump): # Pydantic v2 model return params.model_dump(mode="python", exclude_none=True) - elif hasattr(params, "dict"): + elif isinstance(params, _SupportsPydanticDict): # Pydantic v1 model return params.dict(exclude_none=True) elif isinstance(params, dict): @@ -75,12 +96,12 @@ class PydanticAITransformation: async def _poll_for_completion( client: AsyncHTTPHandler, endpoint: str, - task_id: str, + task_id: object, request_id: str, max_attempts: int = 30, poll_interval: float = 0.5, agent_extra_headers: dict[str, str] | None = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Poll for task completion using tasks/get method. @@ -112,10 +133,10 @@ class PydanticAITransformation: }, ) response.raise_for_status() - poll_data = response.json() + poll_data = _STR_KEY_DICT_ADAPTER.validate_python(response.json()) - result = poll_data.get("result", {}) - status = result.get("status", {}) + result = _STR_KEY_DICT_ADAPTER.validate_python(poll_data.get("result", {})) + status = _STR_KEY_DICT_ADAPTER.validate_python(result.get("status", {})) state = status.get("state", "") verbose_logger.debug("Pydantic AI: Poll attempt %s/%s, state=%s", attempt + 1, max_attempts, state) @@ -133,10 +154,10 @@ class PydanticAITransformation: async def _send_and_poll_raw( api_base: str, request_id: str, - params: Any, + params: "_SupportsModelDump | _SupportsPydanticDict | Mapping[str, object]", timeout: float = 60.0, agent_extra_headers: dict[str, str] | None = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Send a request to Pydantic AI agent and return the raw task response. @@ -153,14 +174,16 @@ class PydanticAITransformation: Raw Pydantic AI task response (with history/artifacts) """ # Convert params to dict if it's a Pydantic model - params_dict = PydanticAITransformation._params_to_dict(params) - # Remove None values - FastA2A doesn't accept null for optional fields - params_dict = PydanticAITransformation._remove_none_values(params_dict) + params_dict: Final = _ANY_KEY_DICT_ADAPTER.validate_python( + PydanticAITransformation._remove_none_values(PydanticAITransformation._params_to_dict(params)) + ) # Ensure the message has 'kind': 'message' as required by FastA2A/Pydantic AI if "message" in params_dict: - params_dict["message"]["kind"] = "message" + message_value: Final = _ANY_KEY_DICT_ADAPTER.validate_python(params_dict["message"]) + message_value["kind"] = "message" + params_dict["message"] = message_value # Build A2A JSON-RPC request using message/send method for FastA2A compatibility a2a_request: Final = { @@ -189,11 +212,11 @@ class PydanticAITransformation: }, ) response.raise_for_status() - response_data = response.json() + response_data = _STR_KEY_DICT_ADAPTER.validate_python(response.json()) # Check if task is already completed - result: Final = response_data.get("result", {}) - status: Final = result.get("status", {}) + result: Final = _STR_KEY_DICT_ADAPTER.validate_python(response_data.get("result", {})) + status: Final = _STR_KEY_DICT_ADAPTER.validate_python(result.get("status", {})) state: Final = status.get("state", "") if state != "completed": @@ -217,10 +240,10 @@ class PydanticAITransformation: async def send_non_streaming_request( api_base: str, request_id: str, - params: Any, + params: "_SupportsModelDump | _SupportsPydanticDict | Mapping[str, object]", timeout: float = 60.0, agent_extra_headers: dict[str, str] | None = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Send a non-streaming A2A request to Pydantic AI agent and wait for completion. @@ -253,10 +276,10 @@ class PydanticAITransformation: async def send_and_get_raw_response( api_base: str, request_id: str, - params: Any, + params: "_SupportsModelDump | _SupportsPydanticDict | Mapping[str, object]", timeout: float = 60.0, agent_extra_headers: dict[str, str] | None = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Send a request to Pydantic AI agent and return the raw task response. @@ -282,9 +305,9 @@ class PydanticAITransformation: @staticmethod def _transform_to_a2a_response( - response_data: dict[str, Any], + response_data: Mapping[str, object], request_id: str, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Transform Pydantic AI task response to standard A2A non-streaming format. @@ -328,7 +351,7 @@ class PydanticAITransformation: } @staticmethod - def _extract_response_text(response_data: dict[str, Any]) -> tuple[str, str, list]: + def _extract_response_text(response_data: Mapping[str, object]) -> tuple[object, object, Sequence[object]]: """ Extract response text from completed task response. @@ -342,52 +365,53 @@ class PydanticAITransformation: Returns: Tuple of (full_text, message_id, parts) """ - result: Final = response_data.get("result", {}) + result: Final = _STR_KEY_DICT_ADAPTER.validate_python(response_data.get("result", {})) # Try to extract from artifacts first (preferred for results) artifacts: Final = result.get("artifacts", []) if artifacts: - for artifact in artifacts: - parts = artifact.get("parts", []) + for artifact in _LIST_ADAPTER.validate_python(artifacts): + parts = _LIST_ADAPTER.validate_python(_STR_KEY_DICT_ADAPTER.validate_python(artifact).get("parts", [])) for part in parts: - if part.get("kind") == "text": - text = part.get("text", "") + if (part_dict := _STR_KEY_DICT_ADAPTER.validate_python(part)).get("kind") == "text": + text = part_dict.get("text", "") if text: return text, str(uuid4()), parts # Fall back to history - get the last agent message - history: Final = result.get("history", []) + history: Final = _LIST_ADAPTER.validate_python(result.get("history", [])) for msg in reversed(history): - if msg.get("role") == "agent": - parts = msg.get("parts", []) - message_id = msg.get("messageId", str(uuid4())) + if (msg_dict := _STR_KEY_DICT_ADAPTER.validate_python(msg)).get("role") == "agent": + parts = _LIST_ADAPTER.validate_python(msg_dict.get("parts", [])) + message_id = msg_dict.get("messageId", str(uuid4())) full_text = "" for part in parts: - if part.get("kind") == "text": - full_text += part.get("text", "") + if (part_dict := _STR_KEY_DICT_ADAPTER.validate_python(part)).get("kind") == "text": + full_text += _TEXT_ADAPTER.validate_python(part_dict.get("text", "")) if full_text: return full_text, message_id, parts # Fall back to message field (original format) message: Final = result.get("message", {}) if message: - parts = message.get("parts", []) - message_id = message.get("messageId", str(uuid4())) + message_dict: Final = _STR_KEY_DICT_ADAPTER.validate_python(message) + parts = _LIST_ADAPTER.validate_python(message_dict.get("parts", [])) + message_id = message_dict.get("messageId", str(uuid4())) full_text = "" for part in parts: - if part.get("kind") == "text": - full_text += part.get("text", "") + if (part_dict := _STR_KEY_DICT_ADAPTER.validate_python(part)).get("kind") == "text": + full_text += _TEXT_ADAPTER.validate_python(part_dict.get("text", "")) return full_text, message_id, parts return "", str(uuid4()), [] @staticmethod async def fake_streaming_from_response( - response_data: dict[str, Any], + response_data: Mapping[str, object], request_id: str, chunk_size: int = 50, delay_ms: int = 10, - ) -> AsyncIterator[dict[str, Any]]: + ) -> AsyncIterator[dict[str, object]]: """ Convert a non-streaming A2A response into fake streaming chunks. @@ -410,12 +434,12 @@ class PydanticAITransformation: full_text, message_id, parts = PydanticAITransformation._extract_response_text(response_data) # Extract input message from raw response for history - result: Final = response_data.get("result", {}) - history: Final = result.get("history", []) - input_message = {} + result: Final = _STR_KEY_DICT_ADAPTER.validate_python(response_data.get("result", {})) + history: Final = _LIST_ADAPTER.validate_python(result.get("history", [])) + input_message = _STR_KEY_DICT_ADAPTER.validate_python({}) for msg in history: - if msg.get("role") == "user": - input_message = msg + if (msg_dict := _STR_KEY_DICT_ADAPTER.validate_python(msg)).get("role") == "user": + input_message = msg_dict break # Generate IDs for streaming events @@ -426,45 +450,49 @@ class PydanticAITransformation: # 1. Emit initial task event (kind: "task", status: "submitted") # Format matches A2ACompletionBridgeTransformation.create_task_event - task_event: Final = { - "jsonrpc": "2.0", - "id": request_id, - "result": { - "contextId": context_id, - "history": [ - { - "contextId": context_id, - "kind": "message", - "messageId": input_message_id, - "parts": input_message.get("parts", [{"kind": "text", "text": ""}]), - "role": "user", - "taskId": task_id, - } - ], - "id": task_id, - "kind": "task", - "status": { - "state": "submitted", + task_event: Final = _STR_KEY_DICT_ADAPTER.validate_python( + { + "jsonrpc": "2.0", + "id": request_id, + "result": { + "contextId": context_id, + "history": [ + { + "contextId": context_id, + "kind": "message", + "messageId": input_message_id, + "parts": input_message.get("parts", [{"kind": "text", "text": ""}]), + "role": "user", + "taskId": task_id, + } + ], + "id": task_id, + "kind": "task", + "status": { + "state": "submitted", + }, }, - }, - } + } + ) yield task_event # 2. Emit status update (kind: "status-update", status: "working") # Format matches A2ACompletionBridgeTransformation.create_status_update_event - working_event: Final = { - "jsonrpc": "2.0", - "id": request_id, - "result": { - "contextId": context_id, - "final": False, - "kind": "status-update", - "status": { - "state": "working", + working_event: Final = _STR_KEY_DICT_ADAPTER.validate_python( + { + "jsonrpc": "2.0", + "id": request_id, + "result": { + "contextId": context_id, + "final": False, + "kind": "status-update", + "status": { + "state": "working", + }, + "taskId": task_id, }, - "taskId": task_id, - }, - } + } + ) yield working_event # Small delay to simulate processing @@ -473,29 +501,32 @@ class PydanticAITransformation: # 3. Emit artifact update chunks (kind: "artifact-update") # Format matches A2ACompletionBridgeTransformation.create_artifact_update_event if full_text: + full_text_str: Final = _TEXT_ADAPTER.validate_python(full_text) # Split text into chunks - for i in range(0, len(full_text), chunk_size): - chunk_text = full_text[i : i + chunk_size] - is_last_chunk = (i + chunk_size) >= len(full_text) + for i in range(0, len(full_text_str), chunk_size): + chunk_text = full_text_str[i : i + chunk_size] + is_last_chunk = (i + chunk_size) >= len(full_text_str) - artifact_event = { - "jsonrpc": "2.0", - "id": request_id, - "result": { - "contextId": context_id, - "kind": "artifact-update", - "taskId": task_id, - "artifact": { - "artifactId": artifact_id, - "parts": [ - { - "kind": "text", - "text": chunk_text, - } - ], + artifact_event = _STR_KEY_DICT_ADAPTER.validate_python( + { + "jsonrpc": "2.0", + "id": request_id, + "result": { + "contextId": context_id, + "kind": "artifact-update", + "taskId": task_id, + "artifact": { + "artifactId": artifact_id, + "parts": [ + { + "kind": "text", + "text": chunk_text, + } + ], + }, }, - }, - } + } + ) yield artifact_event # Add delay between chunks (except for last chunk) @@ -503,19 +534,21 @@ class PydanticAITransformation: await asyncio.sleep(delay_ms / 1000.0) # 4. Emit final status update (kind: "status-update", status: "completed", final: true) - completed_event: Final = { - "jsonrpc": "2.0", - "id": request_id, - "result": { - "contextId": context_id, - "final": True, - "kind": "status-update", - "status": { - "state": "completed", + completed_event: Final = _STR_KEY_DICT_ADAPTER.validate_python( + { + "jsonrpc": "2.0", + "id": request_id, + "result": { + "contextId": context_id, + "final": True, + "kind": "status-update", + "status": { + "state": "completed", + }, + "taskId": task_id, }, - "taskId": task_id, - }, - } + } + ) yield completed_event verbose_logger.info("Pydantic AI: Fake streaming completed for request_id=%s", request_id) diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 9748db2dcd2..7abbf0c96e5 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -42,7 +42,7 @@ from litellm.types.integrations.websearch_interception import ( WebSearchInterceptionConfig, ) from litellm.types.llms.openai import AllMessageValues -from litellm.types.utils import CallTypes, LlmProviders +from litellm.types.utils import AgenticLoopParams, CallTypes, LlmProviders from litellm.utils import ProviderConfigManager if TYPE_CHECKING: @@ -265,7 +265,7 @@ class WebSearchInterceptionLogger(CustomLogger): return None # Check if request has tools with native web_search - tools: Final = kwargs.get("tools") + tools: Final[Sequence[dict[str, object]] | None] = kwargs.get("tools") if not tools: return None @@ -314,7 +314,9 @@ class WebSearchInterceptionLogger(CustomLogger): return kwargs - def _convert_responses_tools(self, kwargs: Mapping[str, object], tools: list[dict[str, object]]) -> dict | None: + def _convert_responses_tools( + self, kwargs: Mapping[str, object], tools: Sequence[dict[str, object]] + ) -> dict[str, object] | None: """Convert Responses API web search tools to the LiteLLM standard function tool.""" if not any(is_web_search_tool_responses(tool) for tool in tools): return None @@ -379,7 +381,7 @@ class WebSearchInterceptionLogger(CustomLogger): ) @staticmethod - def _tool_name(tool: dict[str, Any]) -> str | None: + def _tool_name(tool: Mapping[str, object]) -> object: """Effective tool name, handling OpenAI ``function`` wrapper shape.""" fn: Final = tool.get("function") if tool.get("type") == "function" and isinstance(fn, dict): @@ -1271,7 +1273,7 @@ class WebSearchInterceptionLogger(CustomLogger): kwargs_for_followup: Final = self._prepare_followup_kwargs(kwargs) if logging_obj is not None: - agentic_params: Final = logging_obj.model_call_details.get("agentic_loop_params", {}) + agentic_params: Final[AgenticLoopParams] = logging_obj.model_call_details.get("agentic_loop_params", {}) full_model_name = agentic_params.get("model", model) verbose_logger.debug( "WebSearchInterception: Built anthropic request patch [call_id=%s model=%s messages=%d searches=%d]", diff --git a/litellm/litellm_core_utils/realtime_streaming.py b/litellm/litellm_core_utils/realtime_streaming.py index 858d10df53b..d68bdc4a250 100644 --- a/litellm/litellm_core_utils/realtime_streaming.py +++ b/litellm/litellm_core_utils/realtime_streaming.py @@ -1,5 +1,6 @@ import asyncio import json +from collections.abc import Mapping, Sequence from typing import TYPE_CHECKING, Any, Final, Protocol, cast import litellm @@ -20,11 +21,24 @@ from .litellm_logging import Logging as LiteLLMLogging if TYPE_CHECKING: from websockets.asyncio.client import ClientConnection + from litellm.types.guardrails import GuardrailEventHooks + CLIENT_CONNECTION_CLASS = ClientConnection else: CLIENT_CONNECTION_CLASS = Any +class _ClientWebSocketExceptions(Protocol): + ConnectionClosed: type[Exception] + + +class _ClientWebSocket(Protocol): + exceptions: _ClientWebSocketExceptions + + async def send_text(self, data: str) -> None: ... + async def receive_text(self) -> str: ... + + class RealtimeEventNormalizer(Protocol): def should_drop(self, event: object) -> bool: ... def normalize(self, event: dict) -> dict: ... @@ -48,13 +62,13 @@ class RealTimeStreaming: logging_obj: LiteLLMLogging, provider_config: BaseRealtimeConfig | None = None, model: str = "", - user_api_key_dict: Any | None = None, + user_api_key_dict: object | None = None, request_data: dict | None = None, backend_uses_beta_protocol: bool | None = None, force_transcription_model: str | None = None, event_normalizer: RealtimeEventNormalizer | None = None, ): - self.websocket = websocket + self.websocket: _ClientWebSocket = websocket self.backend_ws = backend_ws self.logging_obj = logging_obj self.messages: list[OpenAIRealtimeEvents] = [] @@ -127,7 +141,7 @@ class RealTimeStreaming: ] ) _CLIENT_AUDIO_BUFFER_COMMIT_TYPES = frozenset(["input_audio_buffer.commit", "input_audio_buffer.end"]) - _AUDIO_FORMAT_MAP: dict[str, dict[str, Any]] = { + _AUDIO_FORMAT_MAP: dict[str, dict[str, str | int]] = { "pcm16": {"type": "audio/pcm", "rate": 24000}, "g711_ulaw": {"type": "audio/G711-ulaw", "rate": 8000}, "g711_alaw": {"type": "audio/G711-alaw", "rate": 8000}, @@ -281,6 +295,7 @@ class RealTimeStreaming: if event_obj.get("type") != "response.done": return response: Final = cast(dict[str, Any], event_obj.get("response", {})) + item: Mapping[str, object] for item in response.get("output", []): if item.get("type") == "function_call": self.tool_calls.append( @@ -384,7 +399,7 @@ class RealTimeStreaming: return message try: - message_obj: Final = json.loads(message) + message_obj: Final[Mapping[str, object]] = json.loads(message) except (json.JSONDecodeError, TypeError): return message @@ -487,7 +502,7 @@ class RealTimeStreaming: if self._backend_setup_complete and not self._flushing_pending_messages_until_setup: return False try: - msg_obj: Final = json.loads(message) + msg_obj: Final[Mapping[str, object]] = json.loads(message) except (json.JSONDecodeError, TypeError): return False return msg_obj.get("type") in RealTimeStreaming._CLIENT_AUDIO_BUFFER_TYPES @@ -555,7 +570,7 @@ class RealTimeStreaming: def _event_to_client_json(self, event: dict) -> str: return json.dumps(self._normalize_event_for_ga_client(event)) - async def _send_event_to_client(self, event: Any, event_str: str) -> bool: + async def _send_event_to_client(self, event: object, event_str: str) -> bool: if self._should_drop_event_from_client(event): return False if isinstance(event, dict): @@ -595,12 +610,12 @@ class RealTimeStreaming: def _make_disable_auto_response_message(self) -> str: """Return a session.update that disables VAD auto-response.""" - turn_detection: Final[dict[str, Any]] = { + turn_detection: Final[dict[str, str | bool]] = { "type": "server_vad", "create_response": False, } if self._backend_uses_beta_protocol: - session: dict[str, Any] = {"turn_detection": turn_detection} + session: dict[str, object] = {"turn_detection": turn_detection} else: session = { "type": "realtime", @@ -654,7 +669,7 @@ class RealTimeStreaming: def _has_realtime_guardrails_for_event_hooks( self, - event_hooks: list[Any], + event_hooks: Sequence["GuardrailEventHooks"], ) -> bool: """Return True if any callback would run for one of ``event_hooks``.""" from litellm.integrations.custom_guardrail import CustomGuardrail @@ -699,7 +714,7 @@ class RealTimeStreaming: transcript: str, item_id: str | None = None, pre_block_backend_message: str | None = None, - event_hooks: list[Any] | None = None, + event_hooks: Sequence["GuardrailEventHooks"] | None = None, ) -> bool: """ Run registered guardrails on realtime text (transcript, user message, tool output). @@ -753,7 +768,7 @@ class RealTimeStreaming: raise # Extract the human-readable error from the detail dict (HTTPException) # or fall back to str(e) for plain ValueError. - detail = getattr(e, "detail", None) + detail: object | None = getattr(e, "detail", None) if isinstance(detail, dict): safe_msg = detail.get("error") or str(e) elif detail is not None: @@ -826,7 +841,7 @@ class RealTimeStreaming: return True return False - async def _handle_provider_config_message(self, raw_response) -> None: + async def _handle_provider_config_message(self, raw_response: str) -> None: """Process a backend message when a provider_config is set (transformed path).""" returned_object: Final = self.provider_config.transform_realtime_response( raw_response, @@ -910,7 +925,7 @@ class RealTimeStreaming: await self._send_event_to_client(event, event_str) @staticmethod - def _parse_backend_event(raw_response: str) -> dict | None: + def _parse_backend_event(raw_response: str) -> dict[str, object] | None: """Parse a backend frame once. Returns None for non-JSON or non-object frames.""" try: event: Final = json.loads(raw_response) @@ -1020,7 +1035,7 @@ class RealTimeStreaming: objects and any test doubles that expose a .scope dict. """ try: - headers: Final = websocket.scope.get("headers", []) + headers: Final[Sequence[tuple[bytes | str, bytes | str]]] = websocket.scope.get("headers", []) for name, value in headers: if isinstance(name, bytes): name = name.decode("latin-1") @@ -1071,9 +1086,9 @@ class RealTimeStreaming: session["output_modalities"] = ["text"] # 3-7. Lift flat audio fields into the nested audio object - audio: Final[dict[str, Any]] = {} - inp: Final[dict[str, Any]] = {} - out: Final[dict[str, Any]] = {} + audio: Final[dict[str, object]] = {} + inp: Final[dict[str, object]] = {} + out: Final[dict[str, object]] = {} # voice → audio.output.voice if "voice" in session: @@ -1190,7 +1205,7 @@ class RealTimeStreaming: # model; check them with the same guardrail used for # user text so an attacker cannot smuggle blocked # content into a function_call_output. - output = item.get("output", "") + output: object = item.get("output", "") output_text = output if isinstance(output, str) else json.dumps(output) if output_text: # Build the sanitized function_call_output up @@ -1241,7 +1256,7 @@ class RealTimeStreaming: # interaction turn. continue elif item.get("role") == "user": - content_list = item.get("content", []) + content_list: Sequence[object] = item.get("content", []) texts = [ c.get("text", "") for c in content_list @@ -1280,7 +1295,7 @@ class RealTimeStreaming: and not self._guardrail_turn_detection_update_sent and self._has_audio_transcription_guardrails() ): - session = msg_obj.setdefault("session", {}) + session: object = msg_obj.setdefault("session", {}) if isinstance(session, dict): existing_td = session.get("turn_detection") if not isinstance(existing_td, dict): diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py index 3f967e29002..886ba6a3a18 100644 --- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py +++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py @@ -3,7 +3,7 @@ import time from collections.abc import Iterator, Mapping, Sequence from itertools import groupby from types import MappingProxyType -from typing import TYPE_CHECKING, Any, Final, Union, cast +from typing import TYPE_CHECKING, Any, Final, TypedDict, Union, cast from litellm._logging import verbose_logger from litellm.types.llms.openai import ( @@ -30,6 +30,7 @@ from litellm.types.utils import ( from litellm.utils import print_verbose, token_counter if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging from litellm.types.litellm_core_utils.streaming_chunk_builder_utils import ( UsagePerChunk, ) @@ -39,6 +40,60 @@ if TYPE_CHECKING: ) +class _ThinkingBlockFragment(TypedDict, total=False): + type: str | None + data: str | None + thinking: str | None + signature: str | None + + +class _ThinkingDelta(TypedDict, total=False): + thinking_blocks: Sequence[_ThinkingBlockFragment] + + +class _ThinkingChoice(TypedDict, total=False): + delta: _ThinkingDelta + + +class _ThinkingChunk(TypedDict): + choices: Sequence[_ThinkingChoice] + + +class _ContentChoice(TypedDict, total=False): + delta: Mapping[str, str | None] + + +class _ContentChunk(TypedDict): + choices: Sequence[_ContentChoice] + + +class _AudioDelta(TypedDict, total=False): + audio: ChatCompletionAudioDelta | None + + +class _AudioChoice(TypedDict, total=False): + delta: _AudioDelta + + +class _AudioChunk(TypedDict): + choices: Sequence[_AudioChoice] + + +class _UsageBearingChunk(TypedDict, total=False): + usage: Usage | None + _hidden_params: Mapping[str, str] + + +class _UsageSummary(TypedDict): + prompt_tokens: int | None + completion_tokens: int | None + cache_creation_input_tokens: int | None + cache_read_input_tokens: int | None + completion_tokens_details: CompletionTokensDetails | None + prompt_tokens_details: PromptTokensDetailsWrapper | None + cost: float | None + + def capture_cache_creation_token_details( prompt_tokens_details: PromptTokensDetailsWrapper | None, current: CacheCreationTokenDetails | None, @@ -78,7 +133,7 @@ class ChunkProcessor: return [] first_chunk: Final = chunks[0] - first_hidden_params: dict[str, Any] = {} + first_hidden_params: dict[str, object] = {} if isinstance(first_chunk, dict): candidate = first_chunk.get("_hidden_params", {}) if isinstance(candidate, dict): @@ -115,8 +170,8 @@ class ChunkProcessor: @staticmethod def apply_provider_assembled_streaming_metadata( response: ModelResponse, - chunks: list[Any], - logging_obj: Any | None = None, + chunks: list[object], + logging_obj: "Logging | None" = None, ) -> None: if not chunks: return @@ -456,7 +511,7 @@ class ChunkProcessor: ) def get_combined_content( - self, chunks: list[dict[str, Any]], delta_key: str = "content" + self, chunks: Sequence["_ContentChunk"], delta_key: str = "content" ) -> ChatCompletionAssistantContentValue: content_list: Final[list[str]] = [] for chunk in chunks: @@ -475,7 +530,7 @@ class ChunkProcessor: return combined_content def get_combined_thinking_content( - self, chunks: list[dict[str, Any]] + self, chunks: Sequence["_ThinkingChunk"] ) -> list[Union["ChatCompletionThinkingBlock", "ChatCompletionRedactedThinkingBlock"]] | None: from litellm.types.llms.openai import ( ChatCompletionRedactedThinkingBlock, @@ -532,10 +587,10 @@ class ChunkProcessor: return thinking_blocks return None - def get_combined_reasoning_content(self, chunks: list[dict[str, Any]]) -> ChatCompletionAssistantContentValue: + def get_combined_reasoning_content(self, chunks: Sequence["_ContentChunk"]) -> ChatCompletionAssistantContentValue: return self.get_combined_content(chunks, delta_key="reasoning_content") - def get_combined_audio_content(self, chunks: list[dict[str, Any]]) -> ChatCompletionAudioResponse: + def get_combined_audio_content(self, chunks: Sequence["_AudioChunk"]) -> ChatCompletionAudioResponse: base64_data_list: Final[list[str]] = [] transcript_list: Final[list[str]] = [] expires_at: int | None = None @@ -544,7 +599,7 @@ class ChunkProcessor: for chunk in chunks: choices = chunk["choices"] for choice in choices: - delta = choice.get("delta") or {} + delta: _AudioDelta = choice.get("delta") or {} audio: ChatCompletionAudioDelta | None = delta.get("audio") if audio is not None: for k, v in audio.items(): @@ -565,7 +620,7 @@ class ChunkProcessor: id=id, ) - def _usage_chunk_calculation_helper(self, usage_chunk: Usage) -> dict: + def _usage_chunk_calculation_helper(self, usage_chunk: Usage) -> "_UsageSummary": prompt_tokens = 0 completion_tokens = 0 ## anthropic prompt caching information ## @@ -623,8 +678,8 @@ class ChunkProcessor: return reasoning_tokens @staticmethod - def _extract_usage_chunk(chunk: dict[str, Any] | ModelResponse | ModelResponseStream) -> Usage | None: - usage_chunk: Usage | dict[str, Any] | None = None + def _extract_usage_chunk(chunk: "_UsageBearingChunk | ModelResponse | ModelResponseStream") -> Usage | None: + usage_chunk: Usage | None = None if hasattr(chunk, "usage") and chunk.usage is not None: usage_chunk = chunk.usage elif "usage" in chunk: @@ -640,7 +695,7 @@ class ChunkProcessor: def _calculate_usage_per_chunk( self, - chunks: list[dict[str, Any] | ModelResponse], + chunks: Sequence["_UsageBearingChunk | ModelResponse"], ) -> "UsagePerChunk": from litellm.types.litellm_core_utils.streaming_chunk_builder_utils import ( UsagePerChunk, @@ -721,13 +776,7 @@ class ChunkProcessor: "web_search_requests", ) - prompt_tokens_details = ( - cast( - PromptTokensDetailsWrapper | None, - usage_chunk_dict["prompt_tokens_details"], - ) - or prompt_tokens_details - ) + prompt_tokens_details = usage_chunk_dict["prompt_tokens_details"] or prompt_tokens_details cache_creation_token_details = capture_cache_creation_token_details( prompt_tokens_details, cache_creation_token_details @@ -758,7 +807,7 @@ class ChunkProcessor: @staticmethod def _reset_anthropic_cursor_completion_tokens( - chunks: list[dict[str, Any] | ModelResponse], + chunks: Sequence["_UsageBearingChunk | ModelResponse"], completion_tokens: int, completion_usage_updates: int, ) -> int: @@ -797,7 +846,7 @@ class ChunkProcessor: def calculate_usage( self, - chunks: list[dict[str, Any] | ModelResponse], + chunks: Sequence["_UsageBearingChunk | ModelResponse"], model: str, completion_output: str, messages: list | None = None, @@ -851,8 +900,8 @@ class ChunkProcessor: setattr(returned_usage, "cache_read_input_tokens", cache_read_input_tokens) # for anthropic if completion_tokens_details is not None: if isinstance(completion_tokens_details, CompletionTokensDetails): - returned_usage.completion_tokens_details = CompletionTokensDetailsWrapper( - **completion_tokens_details.model_dump() + returned_usage.completion_tokens_details = CompletionTokensDetailsWrapper.model_validate( + completion_tokens_details.model_dump() ) else: returned_usage.completion_tokens_details = completion_tokens_details diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py index a9751489473..36f3e875a7e 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py @@ -1,8 +1,9 @@ -from collections.abc import AsyncIterator, Coroutine, Iterator +from collections.abc import AsyncIterator, Coroutine, Iterator, Mapping from typing import ( TYPE_CHECKING, Any, Final, + TypeAlias, cast, ) @@ -33,8 +34,12 @@ if TYPE_CHECKING: # Anthropic-only keys already mapped by the translator; strip on extra_kwargs re-merge. ANTHROPIC_ONLY_REQUEST_KEYS: Final[frozenset[str]] = frozenset({"output_config"}) +_AnthropicMessages: TypeAlias = "list[dict[str, object]]" +_AnthropicSystem: TypeAlias = "str | list[dict[str, object]] | None" +_ContextManagementSpec: TypeAlias = "dict[str, object] | list[dict[str, object]] | None" -def _messages_have_compaction_block(messages: list[dict]) -> bool: + +def _messages_have_compaction_block(messages: _AnthropicMessages) -> bool: """Return True when any message carries a ``compaction`` content block.""" for msg in messages: content = msg.get("content") @@ -54,8 +59,10 @@ def _proxy_router_fallback() -> "Router | None": return _proxy_router -def _extract_proxy_litellm_metadata(kwargs: dict[str, Any]) -> dict[str, Any] | None: - """Return ``kwargs["litellm_metadata"]`` when it's a dict; ``None`` otherwise. +def _extract_proxy_litellm_metadata( + kwargs: Mapping[str, object], +) -> "tuple[dict[str, object], UserAPIKeyAuth | None] | tuple[None, None]": + """Return ``(kwargs["litellm_metadata"], its user_api_key_auth)`` when it's a dict; ``(None, None)`` otherwise. The proxy attaches its auth/spend-attribution fields (``user_api_key``, ``user_api_key_team_id``, ``litellm_call_id``, the full ``UserAPIKeyAuth`` @@ -68,18 +75,19 @@ def _extract_proxy_litellm_metadata(kwargs: dict[str, Any]) -> dict[str, Any] | """ litellm_metadata: Final = kwargs.get("litellm_metadata") if not isinstance(litellm_metadata, dict): - return None - return litellm_metadata + return None, None + user_api_key_auth: Final[UserAPIKeyAuth | None] = litellm_metadata.get("user_api_key_auth") + return litellm_metadata, user_api_key_auth async def _prepare_context_managed_request( *, model: str, - messages: list[dict], - tools: list[dict] | None, - system: Any | None, - context_management_spec: Any, - litellm_metadata: dict | None, + messages: _AnthropicMessages, + tools: list[dict[str, object]] | None, + system: _AnthropicSystem, + context_management_spec: _ContextManagementSpec, + litellm_metadata: dict[str, object] | None, additional_drop_params: list[str] | None, llm_router: "Router | None", user_api_key_auth: "UserAPIKeyAuth | None" = None, @@ -102,11 +110,11 @@ async def _prepare_context_managed_request( if polyfill_will_run: history_result: PolyfillResult | None = None - working_messages: list[dict] = messages - working_system: Any | None = system + working_messages: _AnthropicMessages = messages + working_system: _AnthropicSystem = system else: history_result = apply_client_compaction_block_history( - messages=cast(list[dict[str, Any]], messages), + messages=messages, system=system, ) working_messages = history_result.messages if history_result is not None else messages @@ -136,7 +144,7 @@ async def _prepare_context_managed_request( # to non-Anthropic backends that would reject them. if polyfill_will_run and history_result is None: history_result = apply_client_compaction_block_history( - messages=cast(list[dict[str, Any]], messages), + messages=messages, system=system, ) return history_result @@ -144,7 +152,7 @@ async def _prepare_context_managed_request( def _polyfill_will_run( *, - context_management_spec: Any, + context_management_spec: _ContextManagementSpec, additional_drop_params: list[str] | None, ) -> bool: """Return True when ``compact_20260112`` will run via the polyfill dispatcher. @@ -171,7 +179,7 @@ def _polyfill_will_run( def _spec_has_non_compact_edits( *, - context_management_spec: Any, + context_management_spec: _ContextManagementSpec, additional_drop_params: list[str] | None, ) -> bool: """Return True when the spec includes edits other than ``compact_20260112``. @@ -209,9 +217,9 @@ def _context_management_explicitly_dropped(additional_drop_params: list[str] | N def _normalize_spec_edits( *, - context_management_spec: Any, + context_management_spec: _ContextManagementSpec, additional_drop_params: list[str] | None, -) -> list[dict[str, Any]] | None: +) -> list[dict[str, object]] | None: """Return the normalized ``edits`` list, or ``None`` if the polyfill won't run. Delegates spec-shape normalization to the dispatcher's ``_normalize_spec`` @@ -236,11 +244,11 @@ def _normalize_spec_edits( async def _run_polyfill_if_enabled( *, model: str, - messages: list[dict], - tools: list[dict] | None, - system: Any | None, - context_management_spec: Any, - litellm_metadata: dict | None, + messages: _AnthropicMessages, + tools: list[dict[str, object]] | None, + system: _AnthropicSystem, + context_management_spec: _ContextManagementSpec, + litellm_metadata: dict[str, object] | None, additional_drop_params: list[str] | None, llm_router: "Router | None", user_api_key_auth: "UserAPIKeyAuth | None" = None, @@ -306,7 +314,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: def _route_openai_thinking_to_responses_api_if_needed( completion_kwargs: dict[str, Any], *, - thinking: dict[str, Any] | None, + thinking: Mapping[str, object] | None, ) -> None: """ When users call `litellm.anthropic.messages.*` with a non-Anthropic model and @@ -407,12 +415,12 @@ class LiteLLMMessagesToCompletionTransformationHandler: def _prepare_completion_kwargs( *, max_tokens: int, - messages: list[dict], + messages: _AnthropicMessages, model: str, metadata: dict | None = None, stop_sequences: list[str] | None = None, stream: bool | None = False, - system: str | list[dict[str, Any]] | None = None, + system: _AnthropicSystem = None, temperature: float | None = None, thinking: dict | None = None, tool_choice: dict | None = None, @@ -420,7 +428,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: top_k: int | None = None, top_p: float | None = None, output_format: dict | None = None, - extra_kwargs: dict[str, Any] | None = None, + extra_kwargs: Mapping[str, object] | None = None, ) -> tuple[dict[str, Any], dict[str, str]]: """Prepare kwargs for litellm.completion/acompletion. @@ -433,7 +441,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: Logging as LiteLLMLoggingObject, ) - request_data: Final = { + request_data: Final[dict[str, object]] = { "model": model, "messages": messages, "max_tokens": max_tokens, @@ -528,7 +536,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: @staticmethod async def async_anthropic_messages_handler( max_tokens: int, - messages: list[dict], + messages: _AnthropicMessages, model: str, metadata: dict | None = None, stop_sequences: list[str] | None = None, @@ -537,7 +545,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: temperature: float | None = None, thinking: dict | None = None, tool_choice: dict | None = None, - tools: list[dict] | None = None, + tools: list[dict[str, object]] | None = None, top_k: int | None = None, top_p: float | None = None, output_format: dict | None = None, @@ -551,10 +559,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: requested_router if requested_router is not None else _proxy_router_fallback() ) - proxy_litellm_metadata: Final = _extract_proxy_litellm_metadata(kwargs) - user_api_key_auth: Final[UserAPIKeyAuth | None] = ( - proxy_litellm_metadata.get("user_api_key_auth") if proxy_litellm_metadata is not None else None - ) + proxy_litellm_metadata, user_api_key_auth = _extract_proxy_litellm_metadata(kwargs) polyfill_result: Final = await _prepare_context_managed_request( model=model, @@ -618,7 +623,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: @staticmethod def anthropic_messages_handler( max_tokens: int, - messages: list[dict], + messages: _AnthropicMessages, model: str, metadata: dict | None = None, stop_sequences: list[str] | None = None, @@ -627,7 +632,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: temperature: float | None = None, thinking: dict | None = None, tool_choice: dict | None = None, - tools: list[dict] | None = None, + tools: list[dict[str, object]] | None = None, top_k: int | None = None, top_p: float | None = None, output_format: dict | None = None, @@ -688,10 +693,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: if context_management is None and not _messages_have_compaction_block(messages): polyfill_result: PolyfillResult | None = None else: - proxy_litellm_metadata: Final = _extract_proxy_litellm_metadata(kwargs) - user_api_key_auth: Final[UserAPIKeyAuth | None] = ( - proxy_litellm_metadata.get("user_api_key_auth") if proxy_litellm_metadata is not None else None - ) + proxy_litellm_metadata, user_api_key_auth = _extract_proxy_litellm_metadata(kwargs) polyfill_result = run_async_function( _prepare_context_managed_request, model=model, diff --git a/litellm/llms/azure/assistants.py b/litellm/llms/azure/assistants.py index 671e4633af4..f7b419405ac 100644 --- a/litellm/llms/azure/assistants.py +++ b/litellm/llms/azure/assistants.py @@ -1,8 +1,9 @@ from collections.abc import Coroutine, Iterable -from typing import Any, Final, Literal +from typing import Any, Final, Literal, TypedDict import httpx from openai import AsyncAzureOpenAI, AzureOpenAI +from openai.types.shared_params.metadata import Metadata from typing_extensions import overload from ...types.llms.openai import ( @@ -22,6 +23,16 @@ from ...types.llms.openai import ( from .common_utils import BaseAzureLLM +class _RunThreadStreamData(TypedDict): + thread_id: str + assistant_id: str + additional_instructions: str | None + instructions: str | None + metadata: Metadata | None + model: str | None + tools: Iterable[AssistantToolParam] | None + + class AzureAssistantsAPI(BaseAzureLLM): def __init__(self) -> None: super().__init__() @@ -212,9 +223,9 @@ class AzureAssistantsAPI(BaseAzureLLM): response_obj: OpenAIMessage | None = None if getattr(thread_message, "status", None) is None: thread_message.status = "completed" - response_obj = OpenAIMessage(**thread_message.dict()) + response_obj = OpenAIMessage.model_validate(thread_message.dict()) else: - response_obj = OpenAIMessage(**thread_message.dict()) + response_obj = OpenAIMessage.model_validate(thread_message.dict()) return response_obj # fmt: off @@ -301,9 +312,9 @@ class AzureAssistantsAPI(BaseAzureLLM): response_obj: OpenAIMessage | None = None if getattr(thread_message, "status", None) is None: thread_message.status = "completed" - response_obj = OpenAIMessage(**thread_message.dict()) + response_obj = OpenAIMessage.model_validate(thread_message.dict()) else: - response_obj = OpenAIMessage(**thread_message.dict()) + response_obj = OpenAIMessage.model_validate(thread_message.dict()) return response_obj async def async_get_messages( @@ -443,7 +454,7 @@ class AzureAssistantsAPI(BaseAzureLLM): message_thread: Final = await openai_client.beta.threads.create(**data) - return Thread(**message_thread.dict()) + return Thread.model_validate(message_thread.dict()) # fmt: off @@ -539,7 +550,7 @@ class AzureAssistantsAPI(BaseAzureLLM): message_thread: Final = azure_openai_client.beta.threads.create(**data) - return Thread(**message_thread.dict()) + return Thread.model_validate(message_thread.dict()) async def async_get_thread( self, @@ -566,7 +577,7 @@ class AzureAssistantsAPI(BaseAzureLLM): response: Final = await openai_client.beta.threads.retrieve(thread_id=thread_id) - return Thread(**response.dict()) + return Thread.model_validate(response.dict()) # fmt: off @@ -642,7 +653,7 @@ class AzureAssistantsAPI(BaseAzureLLM): response: Final = openai_client.beta.threads.retrieve(thread_id=thread_id) - return Thread(**response.dict()) + return Thread.model_validate(response.dict()) # def delete_thread(self): # pass @@ -730,7 +741,8 @@ class AzureAssistantsAPI(BaseAzureLLM): event_handler: AssistantEventHandler | None, litellm_params: dict | None = None, ) -> AssistantStreamManager[AssistantEventHandler]: - data: Final[dict[str, Any]] = { + stream_fn: Final = client.beta.threads.runs.stream + base_data: Final[_RunThreadStreamData] = { "thread_id": thread_id, "assistant_id": assistant_id, "additional_instructions": additional_instructions, @@ -740,8 +752,8 @@ class AzureAssistantsAPI(BaseAzureLLM): "tools": tools, } if event_handler is not None: - data["event_handler"] = event_handler - return client.beta.threads.runs.stream(**data) + return stream_fn(**base_data, event_handler=event_handler) + return stream_fn(**base_data) # fmt: off diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py index 76618e0f742..e285feb77ee 100644 --- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py @@ -109,7 +109,7 @@ if MCP_AVAILABLE: ############ MCP Server REST API Routes ################# async def _safe_fire_mcp_tool_call_logging( logging_obj: Any | None, - result: Any, + result: "CallToolResult", start_time: datetime, end_time: datetime, user_api_key_auth: UserAPIKeyAuth | None = None, diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py index 1c6ad84ddb4..49a1f1314f0 100644 --- a/litellm/proxy/_experimental/mcp_server/server.py +++ b/litellm/proxy/_experimental/mcp_server/server.py @@ -13,9 +13,9 @@ import time import traceback import types import uuid -from collections.abc import AsyncIterator, Callable, Mapping +from collections.abc import AsyncIterator, Callable, Mapping, Sequence from datetime import datetime -from typing import TYPE_CHECKING, Any, Final, cast +from typing import TYPE_CHECKING, Any, Final, Protocol import httpx from fastapi import FastAPI, HTTPException @@ -145,7 +145,7 @@ try: ) # Robust auth lookup keyed by session_object. - _session_obj_auth_storage: "weakref.WeakKeyDictionary[Any, MCPAuthenticatedUser]" = weakref.WeakKeyDictionary() + _session_obj_auth_storage: "weakref.WeakKeyDictionary[object, MCPAuthenticatedUser]" = weakref.WeakKeyDictionary() except ImportError as e: verbose_logger.debug("MCP module not found: %s", e) MCP_AVAILABLE = False @@ -493,14 +493,14 @@ if MCP_AVAILABLE: def _gateway_create_initialization_options( self, notification_options: NotificationOptions | None = None, - experimental_capabilities: dict[str, dict[str, Any]] | None = None, + experimental_capabilities: dict[str, dict[str, object]] | None = None, ) -> InitializationOptions: opts: Final = Server.create_initialization_options( self, notification_options=notification_options, experimental_capabilities=experimental_capabilities or {}, ) - updates: Final[dict[str, Any]] = {} + updates: Final[dict[str, str]] = {} merged: Final = _mcp_gateway_initialize_instructions.get() if merged is not None: updates["instructions"] = merged @@ -549,6 +549,17 @@ if MCP_AVAILABLE: _stateful_session_locks: Final[dict[str, asyncio.Lock]] = {} _stateful_session_active_request_counts: Final[dict[str, int]] = {} + class _TerminableTransport(Protocol): + async def terminate(self) -> None: ... + + class _TransportRegistry(Protocol): + def __contains__(self, session_id: object, /) -> bool: ... + + def pop(self, session_id: str, default: None, /) -> "_TerminableTransport | None": ... + + def _stateful_server_instances() -> _TransportRegistry: + return getattr(session_manager_stateful, "_server_instances", {}) + def _remove_stateful_session_tracking(session_id: str) -> None: _stateful_session_auth_contexts.pop(session_id, None) _stateful_session_auth_context_last_seen.pop(session_id, None) @@ -578,8 +589,8 @@ if MCP_AVAILABLE: ) -> None: """Terminate expired stateful sessions and drop their auth contexts.""" now = time.monotonic() if now is None else now - server_instances: Final = getattr(session_manager_stateful, "_server_instances", {}) - expired_session_ids: Final = [] + server_instances: Final = _stateful_server_instances() + expired_session_ids: Final[list[str]] = [] for session_id, last_seen in _stateful_session_auth_context_last_seen.items(): if _stateful_session_active_request_counts.get(session_id, 0) > 0: continue @@ -619,7 +630,7 @@ if MCP_AVAILABLE: session may proceed, or ``False`` when the caller is already at the cap with every session in flight (the new ``initialize`` should be rejected). """ - server_instances: Final = getattr(session_manager_stateful, "_server_instances", {}) + server_instances: Final = _stateful_server_instances() def _owned_live_session_ids() -> list[str]: return [ @@ -778,7 +789,7 @@ if MCP_AVAILABLE: get_virtual_tool_definitions, ) - return [Tool(**d) for d in get_virtual_tool_definitions()] + return [Tool.model_validate(d) for d in get_virtual_tool_definitions()] # Get mcp_servers from context variable verbose_logger.debug("MCP list_tools - Calling _list_mcp_tools") @@ -847,7 +858,7 @@ if MCP_AVAILABLE: async def _build_virtual_call_logging_obj( name: str, - arguments: dict[str, Any], + arguments: dict[str, object], user_api_key_auth: UserAPIKeyAuth, ) -> LiteLLMLoggingObj | None: """Run the pre-call pipeline (guardrails + logging setup) for a virtual @@ -885,7 +896,7 @@ if MCP_AVAILABLE: async def _dispatch_virtual_mcp_tool( name: str, - arguments: dict[str, Any] | None, + arguments: dict[str, object] | None, user_api_key_auth: UserAPIKeyAuth | None, client_ip: str | None, mcp_servers: list[str] | None = None, @@ -957,7 +968,7 @@ if MCP_AVAILABLE: ) @server.call_tool() - async def mcp_server_tool_call(name: str, arguments: dict[str, Any] | None) -> CallToolResult: + async def mcp_server_tool_call(name: str, arguments: dict[str, object] | None) -> CallToolResult: """ Call a specific tool with the provided arguments Args: @@ -1621,7 +1632,7 @@ if MCP_AVAILABLE: async def _get_user_oauth_extra_headers_from_db( server: MCPServer, user_api_key_auth: UserAPIKeyAuth | None, - prefetched_creds: dict[str, dict[str, Any]] | None = None, + prefetched_creds: 'Mapping[str, "OAuthCredentialPayload"] | None' = None, ) -> dict[str, str] | None: """Stored OAuth2 token for (user, server) as an ``Authorization: Bearer`` header, or None. @@ -1646,7 +1657,7 @@ if MCP_AVAILABLE: Returns a dict keyed by server_id to avoid N+1 queries in asyncio.gather loops. """ - user_id: Final = getattr(user_api_key_auth, "user_id", None) if user_api_key_auth else None + user_id: Final[str | None] = getattr(user_api_key_auth, "user_id", None) if user_api_key_auth else None if not user_id: return {} try: @@ -1871,7 +1882,7 @@ if MCP_AVAILABLE: list_tools_start_time: Final = datetime.now() litellm_logging_obj: LiteLLMLoggingObj | None = None - list_tools_request_data: dict[str, Any] = {} + list_tools_request_data: dict[str, object] = {} if log_list_tools_to_spendlogs: # This is intentionally minimal: only async_success_handler / post_call_failure_hook @@ -1879,7 +1890,7 @@ if MCP_AVAILABLE: list_tools_call_id: Final = str(uuid.uuid4()) # Derive trace_id from raw_headers when not explicitly passed (same as A2A / MCP call_tool) effective_litellm_trace_id: Final = litellm_trace_id or get_chain_id_from_headers(raw_headers) - spend_logs_metadata: Final[dict[str, Any]] = { + spend_logs_metadata: Final[dict[str, object]] = { "mcp_operation": "list_tools", } if isinstance(list_tools_log_source, str): @@ -2615,7 +2626,7 @@ if MCP_AVAILABLE: async def execute_mcp_tool( name: str, - arguments: dict[str, Any], + arguments: dict[str, object], allowed_mcp_servers: list[MCPServer], start_time: datetime, user_api_key_auth: UserAPIKeyAuth | None = None, @@ -2882,7 +2893,7 @@ if MCP_AVAILABLE: _request_auth_header.reset(_auth_token) _request_extra_headers.reset(_extra_token) _request_resolved_auth_headers.reset(_resolved_token) - response = CallToolResult(content=cast(Any, local_content), isError=False) + response = CallToolResult(content=local_content, isError=False) # Try managed MCP server tool (the name is bare; the prefix boundary was # already resolved above against this server's registered prefixes) @@ -2956,7 +2967,7 @@ if MCP_AVAILABLE: arguments = hook_result["arguments"] # pyright: ignore[reportAny] # hook returns untyped args local_content = await _handle_local_mcp_tool(original_tool_name, arguments) - response = CallToolResult(content=cast(Any, local_content), isError=False) + response = CallToolResult(content=local_content, isError=False) return await _run_post_mcp_call_guardrails( result=response, @@ -3003,7 +3014,7 @@ if MCP_AVAILABLE: async def _fire_mcp_tool_call_logging( logging_obj: LiteLLMLoggingObj, - result: Any, + result: CallToolResult, start_time: datetime, end_time: datetime, user_api_key_auth: UserAPIKeyAuth | None = None, @@ -3070,7 +3081,7 @@ if MCP_AVAILABLE: @client async def call_mcp_tool( name: str, - arguments: dict[str, Any] | None = None, + arguments: dict[str, object] | None = None, user_api_key_auth: UserAPIKeyAuth | None = None, mcp_auth_header: str | None = None, mcp_servers: list[str] | None = None, @@ -3161,7 +3172,7 @@ if MCP_AVAILABLE: async def mcp_get_prompt( name: str, - arguments: dict[str, Any] | None = None, + arguments: dict[str, object] | None = None, user_api_key_auth: UserAPIKeyAuth | None = None, mcp_auth_header: str | None = None, mcp_servers: list[str] | None = None, @@ -3262,7 +3273,7 @@ if MCP_AVAILABLE: def _get_standard_logging_mcp_tool_call( name: str, - arguments: dict[str, Any], + arguments: dict[str, object], server_name: str | None, session_id: str | None = None, ) -> StandardLoggingMCPToolCall: @@ -3291,13 +3302,13 @@ if MCP_AVAILABLE: async def _handle_managed_mcp_tool( server_name: str, name: str, - arguments: dict[str, Any], + arguments: dict[str, object], user_api_key_auth: UserAPIKeyAuth | None = None, mcp_auth_header: str | None = None, mcp_server_auth_headers: dict[str, dict[str, str]] | None = None, oauth2_headers: dict[str, str] | None = None, raw_headers: dict[str, str] | None = None, - litellm_logging_obj: Any | None = None, + litellm_logging_obj: LiteLLMLoggingObj | None = None, host_progress_callback: Callable | None = None, ) -> CallToolResult: """Handle tool execution for managed server tools""" @@ -3320,7 +3331,7 @@ if MCP_AVAILABLE: return call_tool_result async def _handle_local_mcp_tool( - name: str, arguments: dict[str, Any] + name: str, arguments: dict[str, object] ) -> list[TextContent | ImageContent | EmbeddedResource]: """ Handle tool execution for local registry tools @@ -3426,7 +3437,8 @@ if MCP_AVAILABLE: Extract mcp-session-id from ASGI scope headers. Returns None if not present. """ - for header_name, header_value in scope.get("headers", []): + scope_headers: Final[Sequence[tuple[bytes | str, bytes | str]]] = scope.get("headers", []) + for header_name, header_value in scope_headers: name = header_name if isinstance(header_name, bytes) else header_name.encode() if name.lower() == b"mcp-session-id": return header_value.decode() if isinstance(header_value, bytes) else str(header_value) @@ -3528,7 +3540,7 @@ if MCP_AVAILABLE: if message.get("type") != "http.request": break - body = message.get("body", b"") or b"" + body: bytes = message.get("body", b"") or b"" if body: # Only retain up to the remaining peek budget for sniffing. # The full ``message`` is already in memory (delivered by @@ -3571,9 +3583,9 @@ if MCP_AVAILABLE: Fixes https://github.com/BerriAI/litellm/issues/20992 """ _mcp_session_header: Final = b"mcp-session-id" - _headers: Final = scope.get("headers", []) + _headers: Final[Sequence[tuple[bytes | str, bytes | str]]] = scope.get("headers", []) - def _normalize_header_name(header_name: Any) -> bytes | None: + def _normalize_header_name(header_name: object) -> bytes | None: if isinstance(header_name, bytes): return header_name.lower() if isinstance(header_name, str): @@ -3902,7 +3914,8 @@ if MCP_AVAILABLE: def _get_authorization_header_from_scope(scope: Scope) -> str | None: """First ``Authorization`` header value in the ASGI scope, or None.""" - for key, value in scope.get("headers", []): + scope_headers: Final[Sequence[tuple[bytes, bytes]]] = scope.get("headers", []) + for key, value in scope_headers: if key.lower() == b"authorization": return value.decode("latin-1") return None @@ -3921,7 +3934,8 @@ if MCP_AVAILABLE: ``MCPRequestHandler.process_mcp_request``), and forwarding it upstream would leak the proxy key to a third-party MCP server. """ - has_litellm_key_header: Final = any(key.lower() == b"x-litellm-api-key" for key, _ in scope.get("headers", [])) + scope_headers: Final[Sequence[tuple[bytes, bytes]]] = scope.get("headers", []) + has_litellm_key_header: Final = any(key.lower() == b"x-litellm-api-key" for key, _ in scope_headers) if not has_litellm_key_header: return None return _get_authorization_header_from_scope(scope) @@ -4115,7 +4129,7 @@ if MCP_AVAILABLE: async def handle_streamable_http_mcp(scope: Scope, receive: Receive, send: Send) -> None: """Handle MCP requests through StreamableHTTP.""" try: - path: Final = scope.get("path", "") + path: Final[str] = scope.get("path", "") ( user_api_key_auth, mcp_auth_header, @@ -4135,7 +4149,8 @@ if MCP_AVAILABLE: ) # Strip any client-supplied x-mcp-toolset-id to prevent forgery. - scope["headers"] = [(k, v) for k, v in scope.get("headers", []) if k.lower() != b"x-mcp-toolset-id"] + scope_headers: Final[Sequence[tuple[bytes, bytes]]] = scope.get("headers", []) + scope["headers"] = [(k, v) for k, v in scope_headers if k.lower() != b"x-mcp-toolset-id"] # Apply toolset scope if set server-side via ContextVar (set by # /toolset/{name}/mcp and /{name}/mcp route handlers in proxy_server.py). @@ -4436,7 +4451,7 @@ if MCP_AVAILABLE: async def handle_sse_mcp(scope: Scope, receive: Receive, send: Send) -> None: """Handle MCP requests through SSE.""" try: - path: Final = scope.get("path", "") + path: Final[str] = scope.get("path", "") ( user_api_key_auth, mcp_auth_header, @@ -4456,7 +4471,8 @@ if MCP_AVAILABLE: ) # Strip any client-supplied x-mcp-toolset-id to prevent forgery. - scope["headers"] = [(k, v) for k, v in scope.get("headers", []) if k.lower() != b"x-mcp-toolset-id"] + scope_headers: Final[Sequence[tuple[bytes, bytes]]] = scope.get("headers", []) + scope["headers"] = [(k, v) for k, v in scope_headers if k.lower() != b"x-mcp-toolset-id"] # Apply toolset scope if set server-side via ContextVar so the # downstream probe list matches the fully-authorized server set @@ -4680,7 +4696,8 @@ if MCP_AVAILABLE: ) -> Send: async def wrapped_send(message: Message) -> None: if message.get("type") == "http.response.start": - for key, value in message.get("headers", []): + response_headers: Final[Sequence[tuple[bytes | str, bytes | str]]] = message.get("headers", []) + for key, value in response_headers: header_name = key if isinstance(key, bytes) else str(key).encode() if header_name.lower() == b"mcp-session-id": session_id = value.decode() if isinstance(value, bytes) else str(value) diff --git a/litellm/proxy/guardrails/guardrail_endpoints.py b/litellm/proxy/guardrails/guardrail_endpoints.py index 761d8aabc8a..b68d4a68b79 100644 --- a/litellm/proxy/guardrails/guardrail_endpoints.py +++ b/litellm/proxy/guardrails/guardrail_endpoints.py @@ -6,10 +6,10 @@ import concurrent.futures import inspect import json import os -from collections.abc import Mapping, Sequence +from collections.abc import Awaitable, Callable, Mapping, Sequence from datetime import datetime, timezone from types import UnionType -from typing import TYPE_CHECKING, Any, Final, Literal, TypeVar, Union, cast, get_args, get_origin +from typing import TYPE_CHECKING, Any, Final, Literal, Protocol, TypeVar, Union, cast, get_args, get_origin from urllib.parse import urlparse from fastapi import APIRouter, Depends, HTTPException, Request @@ -54,8 +54,8 @@ from litellm.types.guardrails import ( if TYPE_CHECKING: from types import CodeType - from prisma.actions import LiteLLM_GuardrailsTableActions from prisma.models import LiteLLM_GuardrailsTable + from pydantic.fields import FieldInfo from litellm.proxy.utils import PrismaClient @@ -65,24 +65,44 @@ router: Final = APIRouter() GUARDRAIL_REGISTRY: Final = GuardrailRegistry() -def _guardrails_table(prisma_client: "PrismaClient") -> "LiteLLM_GuardrailsTableActions[LiteLLM_GuardrailsTable]": - table: Final[LiteLLM_GuardrailsTableActions[LiteLLM_GuardrailsTable]] = GuardrailsRepository(prisma_client).table +class _GuardrailsTableActions(Protocol): + async def create(self, data: Mapping[str, object]) -> "LiteLLM_GuardrailsTable": ... + + async def delete(self, where: Mapping[str, object]) -> "LiteLLM_GuardrailsTable | None": ... + + async def find_unique(self, where: Mapping[str, object]) -> "LiteLLM_GuardrailsTable | None": ... + + async def find_many( + self, where: Mapping[str, object], order: Mapping[str, str] + ) -> "Sequence[LiteLLM_GuardrailsTable]": ... + + async def update( + self, where: Mapping[str, object], data: Mapping[str, object] + ) -> "LiteLLM_GuardrailsTable | None": ... + + +def _as_str_object_mapping(mapping: Mapping[str, object]) -> Mapping[str, object]: + return mapping + + +def _guardrails_table(prisma_client: "PrismaClient") -> _GuardrailsTableActions: + table: Final[_GuardrailsTableActions] = GuardrailsRepository(prisma_client).table return table async def _create_guardrail_row(prisma_client: "PrismaClient", data: Mapping[str, object]) -> "LiteLLM_GuardrailsTable": - row: Final[LiteLLM_GuardrailsTable] = await GuardrailsRepository(prisma_client).table.create(data=data) + row: Final = await _guardrails_table(prisma_client).create(data=data) return row async def _delete_guardrail_row(prisma_client: "PrismaClient", where: Mapping[str, object]) -> None: - await GuardrailsRepository(prisma_client).table.delete(where=where) + await _guardrails_table(prisma_client).delete(where=where) async def _find_team_guardrail_rows( prisma_client: "PrismaClient", where: Mapping[str, object] ) -> "Sequence[LiteLLM_GuardrailsTable]": - rows: Final[Sequence[LiteLLM_GuardrailsTable]] = await GuardrailsRepository(prisma_client).table.find_many( + rows: Final = await _guardrails_table(prisma_client).find_many( where=where, order={"created_at": "desc"}, ) @@ -499,10 +519,12 @@ async def update_guardrail( if existing_guardrail is None: raise HTTPException(status_code=404, detail=f"Guardrail with ID {guardrail_id} not found") - result: Final = await GUARDRAIL_REGISTRY.update_guardrail_in_db( - guardrail_id=guardrail_id, - guardrail=request.guardrail, - prisma_client=prisma_client, + result: Final = _as_str_object_mapping( + await GUARDRAIL_REGISTRY.update_guardrail_in_db( + guardrail_id=guardrail_id, + guardrail=request.guardrail, + prisma_client=prisma_client, + ) ) guardrail_name: Final = result.get("guardrail_name", "Unknown") @@ -613,7 +635,7 @@ class RegisterGuardrailRequest(BaseModel): """Request body for POST /guardrails/register. Follows Generic Guardrail API config.""" guardrail_name: str - litellm_params: dict[str, Any] # guardrail, mode, api_base required; api_key, headers, etc. optional + litellm_params: dict[str, object] # guardrail, mode, api_base required; api_key, headers, etc. optional guardrail_info: dict[str, object] | None = None team_id: str | None = None @@ -1172,12 +1194,14 @@ async def patch_guardrail( ) # Update litellm_params if default_on is provided or pii_entities_config is provided - litellm_params = LitellmParams(**dict(existing_guardrail.get("litellm_params", {}))) + existing_litellm_params: Final = _as_str_object_mapping(dict(existing_guardrail.get("litellm_params", {}))) + litellm_params = LitellmParams(**existing_litellm_params) if request.litellm_params is not None: requested_litellm_params: Final = request.litellm_params.model_dump(exclude_unset=True) litellm_params_dict: Final = litellm_params.model_dump(exclude_unset=True) litellm_params_dict.update(requested_litellm_params) - litellm_params = LitellmParams(**litellm_params_dict) + merged_litellm_params: Final = _as_str_object_mapping(litellm_params_dict) + litellm_params = LitellmParams(**merged_litellm_params) # Update guardrail_info if provided guardrail_info: Final = ( @@ -1193,10 +1217,12 @@ async def patch_guardrail( litellm_params=litellm_params, guardrail_info=guardrail_info, ) - result: Final = await GUARDRAIL_REGISTRY.update_guardrail_in_db( - guardrail_id=guardrail_id, - guardrail=guardrail, - prisma_client=prisma_client, + result: Final = _as_str_object_mapping( + await GUARDRAIL_REGISTRY.update_guardrail_in_db( + guardrail_id=guardrail_id, + guardrail=guardrail, + prisma_client=prisma_client, + ) ) guardrail_name = result.get("guardrail_name", "Unknown") @@ -1552,31 +1578,46 @@ async def validate_blocked_words_file(request: dict[str, str]): return {"valid": False, "error": f"Validation error: {e}"} -def _get_field_type_from_annotation(field_annotation: Any) -> str: +def _dunder_origin(annotation: object) -> object: + origin: Final[object] = getattr(annotation, "__origin__", None) + return origin + + +def _dunder_name(annotation: object) -> object: + name: Final[object] = getattr(annotation, "__name__", None) + return name + + +def _dunder_args(annotation: object) -> tuple[object, ...]: + args: Final[tuple[object, ...]] = getattr(annotation, "__args__", ()) + return args + + +def _get_field_type_from_annotation(field_annotation: object) -> str: """ Convert a Python type annotation to a UI-friendly type string """ # Handle Union types (like Optional[T]) if get_origin(field_annotation) is Union or get_origin(field_annotation) is UnionType: # For Optional[T], get the non-None type - args: Final = get_args(field_annotation) + args: Final[tuple[object, ...]] = get_args(field_annotation) non_none_args: Final = [arg for arg in args if arg is not type(None)] if non_none_args: field_annotation = non_none_args[0] # Handle List types - if hasattr(field_annotation, "__origin__") and field_annotation.__origin__ is list: + if hasattr(field_annotation, "__origin__") and _dunder_origin(field_annotation) is list: return "array" # Handle Dict types - if hasattr(field_annotation, "__origin__") and field_annotation.__origin__ is dict: + if hasattr(field_annotation, "__origin__") and _dunder_origin(field_annotation) is dict: return "dict" # Handle Literal types if hasattr(field_annotation, "__origin__") and hasattr(field_annotation, "__args__"): # Check for Literal types (Python 3.8+) - origin: Final = field_annotation.__origin__ - if hasattr(origin, "__name__") and origin.__name__ == "Literal": + origin: Final = _dunder_origin(field_annotation) + if hasattr(origin, "__name__") and _dunder_name(origin) == "Literal": return "select" # For dropdown/select inputs # Handle basic types @@ -1595,66 +1636,66 @@ def _get_field_type_from_annotation(field_annotation: Any) -> str: return "string" -def _extract_literal_values(annotation: Any) -> list[str]: +def _extract_literal_values(annotation: object) -> Sequence[object]: """ Extract literal values from a Literal type annotation """ if hasattr(annotation, "__origin__") and hasattr(annotation, "__args__"): - origin: Final = annotation.__origin__ - if hasattr(origin, "__name__") and origin.__name__ == "Literal": - return list(annotation.__args__) + origin: Final = _dunder_origin(annotation) + if hasattr(origin, "__name__") and _dunder_name(origin) == "Literal": + return list(_dunder_args(annotation)) return [] -def _get_dict_key_options(field_annotation: Any) -> list[str] | None: +def _get_dict_key_options(field_annotation: object) -> Sequence[object] | None: """ Extract key options from Dict[Literal[...], T] types """ if ( hasattr(field_annotation, "__origin__") - and field_annotation.__origin__ is dict + and _dunder_origin(field_annotation) is dict and hasattr(field_annotation, "__args__") ): - args: Final = field_annotation.__args__ + args: Final = _dunder_args(field_annotation) if len(args) >= 2: key_type: Final = args[0] return _extract_literal_values(key_type) return None -def _get_dict_value_type(field_annotation: Any) -> str: +def _get_dict_value_type(field_annotation: object) -> str: """ Get the value type from Dict[K, V] types """ if ( hasattr(field_annotation, "__origin__") - and field_annotation.__origin__ is dict + and _dunder_origin(field_annotation) is dict and hasattr(field_annotation, "__args__") ): - args: Final = field_annotation.__args__ + args: Final = _dunder_args(field_annotation) if len(args) >= 2: value_type: Final = args[1] return _get_field_type_from_annotation(value_type) return "string" -def _get_list_element_options(field_annotation: Any) -> list[str] | None: +def _get_list_element_options(field_annotation: object) -> Sequence[object] | None: """ Extract element options from List[Literal[...]] types """ if ( hasattr(field_annotation, "__origin__") - and field_annotation.__origin__ is list + and _dunder_origin(field_annotation) is list and hasattr(field_annotation, "__args__") ): - args: Final = field_annotation.__args__ + args: Final = _dunder_args(field_annotation) if len(args) >= 1: element_type: Final = args[0] return _extract_literal_values(element_type) return None -def _should_skip_optional_params(field_name: str, field_annotation: Any) -> bool: +def _should_skip_optional_params(field_name: str, field_annotation: object) -> bool: """Check if optional_params field should be skipped (not meaningfully overridden).""" if field_name != "optional_params": return False @@ -1664,12 +1705,12 @@ def _should_skip_optional_params(field_name: str, field_annotation: Any) -> bool # Check if the annotation is still a generic TypeVar (not specialized) if isinstance(field_annotation, TypeVar) or ( - hasattr(field_annotation, "__origin__") and field_annotation.__origin__ is TypeVar + hasattr(field_annotation, "__origin__") and _dunder_origin(field_annotation) is TypeVar ): return True # Also skip if it's a generic type that wasn't specialized - if hasattr(field_annotation, "__name__") and field_annotation.__name__ in ( + if hasattr(field_annotation, "__name__") and _dunder_name(field_annotation) in ( "T", "TypeVar", ): @@ -1677,18 +1718,18 @@ def _should_skip_optional_params(field_name: str, field_annotation: Any) -> bool # Handle Optional[T] where T is still a TypeVar if hasattr(field_annotation, "__args__"): - non_none_args: Final = [arg for arg in field_annotation.__args__ if arg is not type(None)] + non_none_args: Final = [arg for arg in _dunder_args(field_annotation) if arg is not type(None)] if non_none_args and isinstance(non_none_args[0], TypeVar): return True return False -def _unwrap_optional_type(field_annotation: Any) -> Any: +def _unwrap_optional_type(field_annotation: object) -> object: """Unwrap Optional types to get the actual type.""" if get_origin(field_annotation) is Union or get_origin(field_annotation) is UnionType: # For Optional[BaseModel], get the non-None type - args: Final = get_args(field_annotation) + args: Final[tuple[object, ...]] = get_args(field_annotation) non_none_args: Final = [arg for arg in args if arg is not type(None)] if non_none_args: return non_none_args[0] @@ -1696,20 +1737,20 @@ def _unwrap_optional_type(field_annotation: Any) -> Any: def _build_field_dict( - field: Any, - field_annotation: Any, + field: "FieldInfo", + field_annotation: object, description: str, required: bool, -) -> dict[str, Any]: +) -> dict[str, object]: """Build field dictionary for non-nested fields.""" # Determine the field type from annotation field_type = _get_field_type_from_annotation(field_annotation) # Check for custom UI type override - field_json_schema_extra: Final = getattr(field, "json_schema_extra", {}) + field_json_schema_extra: Final[Mapping[str, object]] = getattr(field, "json_schema_extra", {}) if field_json_schema_extra and "ui_type" in field_json_schema_extra: ui_type: Final = field_json_schema_extra["ui_type"] - field_type = ui_type.value if hasattr(ui_type, "value") else ui_type + field_type = getattr(ui_type, "value", ui_type) elif field_json_schema_extra and "type" in field_json_schema_extra: field_type = field_json_schema_extra["type"] @@ -1748,8 +1789,9 @@ def _build_field_dict( field_dict["options"] = literal_options # Add default value if it exists - if field.default is not None and field.default is not ...: - field_dict["default_value"] = field.default + field_default: Final[object] = getattr(field, "default", None) + if field_default is not None and field_default is not ...: + field_dict["default_value"] = field_default # Copy min, max, step from json_schema_extra for number/percentage inputs if field_json_schema_extra: @@ -1763,7 +1805,7 @@ def _build_field_dict( def _extract_fields_recursive( model: type[BaseModel], depth: int = 0, -) -> dict[str, Any]: +) -> dict[str, object]: # Check if we've exceeded the maximum recursion depth if depth > DEFAULT_MAX_RECURSE_DEPTH: raise HTTPException( @@ -1817,7 +1859,7 @@ def _extract_fields_recursive( return fields -def _get_fields_from_model(model_class: type[BaseModel]) -> dict[str, Any]: +def _get_fields_from_model(model_class: type[BaseModel]) -> dict[str, object]: """ Get the fields from a Pydantic model as a nested dictionary structure """ @@ -2141,7 +2183,26 @@ def _resolve_guardrail_input_type(active_guardrail: CustomGuardrail, input_type: return "response" if input_type == "response" else "request" -def _patch_logging_obj_for_guardrail(litellm_logging_obj: Any, request: ApplyGuardrailRequest) -> None: +class _GuardrailLoggingObj(Protocol): + call_type: str + model_call_details: dict[str, object] + + @property + def update_messages(self) -> "Callable[..., object]": ... + + @property + def async_success_handler(self) -> "Callable[..., Awaitable[object]]": ... + + @property + def success_handler(self) -> "Callable[..., object]": ... + + +class _GuardrailProxyLogging(Protocol): + @property + def post_call_success_hook(self) -> "Callable[..., Awaitable[object]]": ... + + +def _patch_logging_obj_for_guardrail(litellm_logging_obj: _GuardrailLoggingObj, request: ApplyGuardrailRequest) -> None: """Configure the logging object so Langfuse/OTEL extract input and output correctly.""" litellm_logging_obj.call_type = "pass_through_endpoint" litellm_logging_obj.model_call_details["call_type"] = "pass_through_endpoint" @@ -2151,8 +2212,8 @@ def _patch_logging_obj_for_guardrail(litellm_logging_obj: Any, request: ApplyGua async def _emit_guardrail_success_logs( - proxy_logging_obj: Any, - litellm_logging_obj: Any, + proxy_logging_obj: _GuardrailProxyLogging, + litellm_logging_obj: _GuardrailLoggingObj | None, data: dict, user_api_key_dict: UserAPIKeyAuth, response: ApplyGuardrailResponse, diff --git a/litellm/proxy/guardrails/guardrail_hooks/cisco_ai_defense/cisco_ai_defense.py b/litellm/proxy/guardrails/guardrail_hooks/cisco_ai_defense/cisco_ai_defense.py index 068a3ecf31b..facb822d00d 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/cisco_ai_defense/cisco_ai_defense.py +++ b/litellm/proxy/guardrails/guardrail_hooks/cisco_ai_defense/cisco_ai_defense.py @@ -19,7 +19,7 @@ request is sent with the ``X-Cisco-AI-Defense-API-Key`` header. import json import os -from collections.abc import AsyncIterator +from collections.abc import AsyncIterator, Mapping, Sequence from dataclasses import dataclass, replace from datetime import datetime from typing import TYPE_CHECKING, Any, Final, Literal @@ -94,13 +94,13 @@ class _CiscoVerdict: is_safe: bool | None classifications: list[str] severity: str | None - rules: list[dict[str, Any]] + rules: list[dict[str, object]] explanation: str | None event_id: str | None action: str | None = None sanitized_text: str | None = None - sanitized_messages: list[dict[str, Any]] | None = None - sanitized_mcp_arguments: dict[str, Any] | None = None + sanitized_messages: list[dict[str, object]] | None = None + sanitized_mcp_arguments: dict[str, object] | None = None class CiscoAIDefenseGuardrailMissingSecrets(Exception): @@ -136,7 +136,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): api_base: str | None = None, inspection_type: str | None = None, inspect_path: str | None = None, - enabled_rules: list[dict[str, Any]] | None = None, + enabled_rules: Sequence[object] | None = None, integration_profile_id: str | None = None, integration_profile_version: str | None = None, integration_tenant_id: str | None = None, @@ -415,7 +415,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): async def async_post_call_streaming_iterator_hook( self, user_api_key_dict: UserAPIKeyAuth, - response: AsyncIterator[Any], + response: AsyncIterator[object], request_data: dict, ): """Buffer and inspect streaming chat output before delivery.""" @@ -437,7 +437,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): self.guardrail_name, ) - all_chunks: Final[list[Any]] = [] + all_chunks: Final[list[object]] = [] try: async for chunk in response: all_chunks.append(chunk) @@ -497,7 +497,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): response_obj=assembled, ) except HTTPException as exc: - error_obj: dict[str, Any] = self._http_exception_to_error_obj(exc) + error_obj: dict[str, object] = self._http_exception_to_error_obj(exc) verbose_proxy_logger.warning( "Cisco AI Defense guardrail (%s): streaming response " "blocked — emitting SSE error event instead of " @@ -531,7 +531,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): for chunk in all_chunks: yield chunk - def _build_block_payload(self, context: _ScanContext, verdict: _CiscoVerdict) -> dict[str, Any]: + def _build_block_payload(self, context: _ScanContext, verdict: _CiscoVerdict) -> dict[str, object]: """Canonical block payload used across all four block paths. Same dict is the ``HTTPException.detail`` for chat / MCP request @@ -555,34 +555,34 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): "event_id": verdict.event_id, } - def _http_exception_to_error_obj(self, exc: HTTPException) -> dict[str, Any]: + def _http_exception_to_error_obj(self, exc: HTTPException) -> dict[str, object]: """Wrap an ``HTTPException`` detail into the SSE ``error`` payload. For Cisco's own blocks the detail is already the canonical block payload, so this is a near-passthrough that just adds ``code`` / ``guardrail`` defaults for non-Cisco / unstructured details. """ - error_obj: dict[str, Any] = dict(exc.detail) if isinstance(exc.detail, dict) else {"message": str(exc.detail)} + error_obj: dict[str, object] = {**exc.detail} if isinstance(exc.detail, dict) else {"message": str(exc.detail)} error_obj.setdefault("message", error_obj.get("error", "Guardrail block")) error_obj.setdefault("code", exc.status_code) error_obj.setdefault("guardrail", self.guardrail_name) return error_obj @classmethod - def _streaming_content_was_modified(cls, original_chunks: list[Any], assembled: ModelResponse) -> bool: + def _streaming_content_was_modified(cls, original_chunks: Sequence[object], assembled: ModelResponse) -> bool: """Decide whether redact changed content or tool/function arguments.""" original_text: Final = cls._extract_streaming_chunk_scan_text(original_chunks) assembled_text: Final = " ".join(m.get("content", "") for m in cls._extract_response_messages(assembled)) return original_text != assembled_text @classmethod - def _extract_streaming_chunk_scan_text(cls, chunks: list[Any]) -> str: + def _extract_streaming_chunk_scan_text(cls, chunks: Sequence[object]) -> str: original_text = "" argument_text = "" for chunk in chunks: choices = getattr(chunk, "choices", None) or [] for c in choices: - delta = getattr(c, "delta", None) + delta: object | None = getattr(c, "delta", None) if delta is None: continue text = getattr(delta, "content", None) @@ -595,7 +595,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): args = cls._extract_tool_call_arguments(tc) if args: argument_text += args - fc = getattr(delta, "function_call", None) + fc: object | None = getattr(delta, "function_call", None) if fc is not None: args = cls._extract_function_call_arguments(fc) if args: @@ -673,7 +673,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): allow, WARNING for intervened/redacted, ERROR is left for upstream API failures. """ - fields: Final[dict[str, Any]] = { + fields: Final[dict[str, object]] = { "guardrail": self.guardrail_name, "surface": context.surface, "direction": context.direction, @@ -752,7 +752,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): user_api_key_dict: UserAPIKeyAuth, direction: str = "input", response_obj: object = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: url: Final = f"{self.api_base}{self.inspect_path}" payload: Final = self._build_chat_payload(messages, request_data, user_api_key_dict) start_time: Final = datetime.now() @@ -784,7 +784,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): messages: list[dict[str, str]], request_data: dict, user_api_key_dict: UserAPIKeyAuth, - ) -> dict[str, Any]: + ) -> dict[str, object]: return { "messages": messages, "metadata": self._build_metadata(request_data, user_api_key_dict), @@ -798,9 +798,9 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): async def _post_inspection( self, url: str, - payload: dict[str, Any], + payload: dict[str, object], surface: str, - ) -> dict[str, Any]: + ) -> dict[str, object]: headers: Final = self._build_headers() verbose_proxy_logger.debug( "Cisco AI Defense guardrail: posting %s inspection to %s", @@ -856,8 +856,8 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): self, request_data: dict, user_api_key_dict: UserAPIKeyAuth, - ) -> dict[str, Any]: - metadata: Final[dict[str, Any]] = {} + ) -> dict[str, object]: + metadata: Final[dict[str, object]] = {} user: Final = request_data.get("user") or getattr(user_api_key_dict, "user_id", None) if user: @@ -884,8 +884,8 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return metadata - def _build_config(self) -> dict[str, Any]: - config: Final[dict[str, Any]] = {} + def _build_config(self) -> dict[str, object]: + config: Final[dict[str, object]] = {} if self.enabled_rules: config["enabled_rules"] = self.enabled_rules if self.integration_profile_id: @@ -899,7 +899,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return config @staticmethod - def _normalize_rule(rule: object) -> dict[str, Any]: + def _normalize_rule(rule: object) -> dict[str, object]: """Coerce a user-supplied rule into the wire-shape dict Cisco expects. Accepts ``str``, ``dict``, and Pydantic model inputs. @@ -922,7 +922,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): rule = dumped if isinstance(rule, dict): - normalized: Final[dict[str, Any]] = {} + normalized: Final[dict[str, object]] = {} rule_name: Final = rule.get("rule_name") if rule_name: normalized["rule_name"] = rule_name @@ -950,7 +950,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): context: _ScanContext, start_time: datetime, response_obj: object = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """Parse, log, and (optionally) raise/redact on the Cisco verdict. ``context.direction`` is ``"input"`` for request scans and ``"output"`` @@ -1119,10 +1119,10 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): @classmethod def _sanitize_response_for_logging( cls, - inspect_response: dict[str, Any], + inspect_response: Mapping[str, object], surface: str, action: str | None = None, - ) -> dict[str, Any]: + ) -> dict[str, object]: """Drop bulky / privacy-sensitive fields, recursing into nested dicts. MCP verdicts are commonly nested under ``result``, so a @@ -1138,9 +1138,9 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return sanitized @classmethod - def _strip_sensitive_keys(cls, d: dict[str, Any]) -> dict[str, Any]: + def _strip_sensitive_keys(cls, d: Mapping[str, object]) -> dict[str, object]: """Recursively strip privacy-sensitive keys from a verdict dict.""" - out: Final[dict[str, Any]] = {} + out: Final[dict[str, object]] = {} for key, value in d.items(): if key.startswith("_") or key in cls._REDACTED_LOG_KEYS: continue @@ -1222,8 +1222,8 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): @staticmethod def _extract_jsonrpc_error( - inspect_response: dict[str, Any], - ) -> dict[str, Any] | None: + inspect_response: Mapping[str, object], + ) -> dict[str, object] | None: """Detect a JSON-RPC error envelope inside an HTTP 200 response. The Cisco Inspect API can return ``{"error": {...}}`` (or nest one @@ -1270,7 +1270,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): @staticmethod def _extract_sanitized_text( - inspect_response: dict[str, Any], + inspect_response: Mapping[str, object], ) -> str | None: """Pull ``sanitized_text`` (or camelCase variant) off the verdict.""" for key in ("sanitized_text", "sanitizedText"): @@ -1287,8 +1287,8 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): @staticmethod def _extract_sanitized_messages( - inspect_response: dict[str, Any], - ) -> list[dict[str, Any]] | None: + inspect_response: Mapping[str, object], + ) -> list[dict[str, object]] | None: """Pull a sanitized OpenAI-format messages array off the verdict. Cisco can return the rewrite under several keys; we accept any of @@ -1354,7 +1354,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): def _redact_mcp_input( request_data: dict, sanitized_text: str | None, - sanitized_mcp_arguments: dict[str, Any] | None, + sanitized_mcp_arguments: dict[str, object] | None, ) -> bool: """Rewrite MCP request arguments in all locations the proxy reads.""" if sanitized_mcp_arguments is not None: @@ -1388,7 +1388,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): self, request_data: dict, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: """Rewrite chat request input (``messages`` or ``input``).""" if sanitized_messages and self._extract_tool_definition_text(request_data): @@ -1444,7 +1444,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): cls, request_data: dict, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: if sanitized_messages: instruction_text: Final = cls._instruction_text_from_messages(sanitized_messages) @@ -1457,7 +1457,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return False @classmethod - def _instruction_text_from_messages(cls, messages: list[dict[str, Any]]) -> str | None: + def _instruction_text_from_messages(cls, messages: list[dict[str, object]]) -> str | None: for message in messages: if not isinstance(message, dict): continue @@ -1468,7 +1468,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return None @classmethod - def _non_instruction_messages(cls, messages: list[dict[str, Any]] | None) -> list[dict[str, Any]] | None: + def _non_instruction_messages(cls, messages: list[dict[str, object]] | None) -> list[dict[str, object]] | None: if messages is None: return None return [ @@ -1499,7 +1499,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): self, response_obj: object, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: """Rewrite chat response (``ModelResponse`` or ``ResponsesAPIResponse``).""" if response_obj is None: @@ -1526,7 +1526,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): def _redact_model_response_choices( choices: list, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: """Redact every returned choice, including tool-call/reasoning fields.""" if sanitized_messages: @@ -1570,7 +1570,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): def _redact_text_completion_choices( choices: list, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: """Rewrite ``/v1/completions`` text choices after Cisco redaction.""" replacement = sanitized_text @@ -1638,7 +1638,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): self, output_items: list, sanitized_text: str | None, - sanitized_messages: list[dict[str, Any]] | None, + sanitized_messages: list[dict[str, object]] | None, ) -> bool: replacement_text: str | None = sanitized_text if not replacement_text and sanitized_messages: @@ -1672,14 +1672,14 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): @staticmethod def _sanitized_messages_to_responses_input( - sanitized_messages: list[dict[str, Any]], - ) -> list[dict[str, Any]] | None: + sanitized_messages: list[dict[str, object]], + ) -> list[dict[str, object]] | None: """Convert chat-shape sanitized_messages to Responses API ``input``. Returns ``None`` if nothing usable could be converted, so the caller falls back to ``on_flagged_action``. """ - out: Final[list[dict[str, Any]]] = [] + out: Final[list[dict[str, object]]] = [] for m in sanitized_messages: if not isinstance(m, dict): continue @@ -1764,7 +1764,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): start_time: datetime | None = None, surface: str = "chat", direction: str = "input", - ) -> dict[str, Any]: + ) -> dict[str, object]: verbose_proxy_logger.error( "Cisco AI Defense guardrail (%s): API communication failed: %s", surface, @@ -2060,7 +2060,7 @@ class CiscoAIDefenseGuardrail(_CiscoAIDefenseMcpMixin, CustomGuardrail): return getattr(obj, key, None) @classmethod - def _field_list(cls, obj: object, key: str) -> list[Any]: + def _field_list(cls, obj: object, key: str) -> list[object]: value: Final = cls._field(obj, key) return value if isinstance(value, list) else [] diff --git a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py index c29da89b15f..5bbb01c6c8e 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py +++ b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py @@ -8,8 +8,8 @@ Unified Guardrail, leveraging LiteLLM's /applyGuardrail endpoint import copy import json -from collections.abc import AsyncGenerator -from typing import TYPE_CHECKING, Any, Final +from collections.abc import AsyncGenerator, AsyncIterable, Awaitable, Callable, Mapping, Sequence +from typing import TYPE_CHECKING, Any, Final, Protocol from fastapi import HTTPException @@ -34,6 +34,9 @@ if TYPE_CHECKING: # Imported lazily at runtime (inside the streaming hook) to avoid a # module-level cyclic import with litellm.integrations.custom_guardrail. from litellm.integrations.custom_guardrail import ModifyResponseException + from litellm.llms.base_llm.guardrail_translation.base_translation import ( + BaseTranslation, + ) # Call types that use NDJSON streaming (A2A); guardrail HTTPException is emitted as in-stream error A2A_CALL_TYPES: Final = (CallTypes.asend_message, CallTypes.send_message) @@ -41,12 +44,35 @@ A2A_CALL_TYPES: Final = (CallTypes.asend_message, CallTypes.send_message) GUARDRAIL_NAME: Final = "unified_llm_guardrails" +class _EndpointTranslation(Protocol): + @property + def process_input_messages(self) -> "Callable[..., Awaitable[dict[str, object]]]": ... + + @property + def process_output_response(self) -> "Callable[..., Awaitable[object]]": ... + + @property + def process_output_streaming_response(self) -> "Callable[..., Awaitable[object]]": ... + + @property + def build_block_sse_chunks(self) -> "Callable[..., Sequence[bytes] | None]": ... + + +def _as_endpoint_translation(translation: _EndpointTranslation) -> _EndpointTranslation: + return translation + + +def _chunk_choices(item: object) -> Sequence[object]: + choices: Final[Sequence[object]] = getattr(item, "choices", None) or [] + return choices + + class _StreamTerminated(Exception): """Internal signal that the incremental transform stream has already emitted its terminal chunks (block message or in-stream error) and must stop.""" -def _get_a2a_request_id(responses_so_far: list[Any], request_data: dict) -> str | None: +def _get_a2a_request_id(responses_so_far: Sequence[object], request_data: dict) -> str | None: """Get JSON-RPC request id from first A2A chunk or request body for in-stream error reporting.""" for item in responses_so_far: if isinstance(item, dict) and "id" in item: @@ -138,7 +164,9 @@ class UnifiedLLMGuardrails(CustomLogger): except ValueError: return data # handle unmapped call types - endpoint_translation: Final = endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + endpoint_translation: Final = _as_endpoint_translation( + endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + ) _ensure_litellm_metadata(data, user_api_key_dict) @@ -156,7 +184,7 @@ class UnifiedLLMGuardrails(CustomLogger): async def async_moderation_hook( self, data: dict, user_api_key_dict: UserAPIKeyAuth, call_type: CallTypesLiteral - ) -> Any: + ) -> object: """ Runs in parallel to LLM API call Runs on only Input @@ -187,7 +215,9 @@ class UnifiedLLMGuardrails(CustomLogger): if call_type is not None and CallTypes(call_type) not in endpoint_guardrail_translation_mappings: return data - endpoint_translation: Final = endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + endpoint_translation: Final = _as_endpoint_translation( + endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + ) _ensure_litellm_metadata(data, user_api_key_dict) @@ -202,7 +232,7 @@ class UnifiedLLMGuardrails(CustomLogger): data: dict, user_api_key_dict: UserAPIKeyAuth, response, - ) -> Any: + ) -> object: """ Runs on response from LLM API call @@ -271,7 +301,9 @@ class UnifiedLLMGuardrails(CustomLogger): ) return response - endpoint_translation: Final = endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + endpoint_translation: Final = _as_endpoint_translation( + endpoint_guardrail_translation_mappings[CallTypes(call_type)]() + ) try: response = await endpoint_translation.process_output_response( @@ -299,10 +331,10 @@ class UnifiedLLMGuardrails(CustomLogger): async def _handle_streaming_block( self, exc: "ModifyResponseException", - endpoint_translation: Any, + endpoint_translation: _EndpointTranslation, stream_started: bool, - responses_so_far: list[Any], - ) -> AsyncGenerator[Any, None]: + responses_so_far: Sequence[object], + ) -> AsyncGenerator[object, None]: """ Terminate a streamed response cleanly when a guardrail blocks it. @@ -323,7 +355,7 @@ class UnifiedLLMGuardrails(CustomLogger): @staticmethod def _resolve_transform_call_type( user_api_key_dict: UserAPIKeyAuth, - mappings: dict, + mappings: Mapping[CallTypes, type["BaseTranslation"]], ) -> str | None: """Resolve the call type for the incremental_diff path, or None if the route is unresolvable / unsupported. @@ -356,9 +388,9 @@ class UnifiedLLMGuardrails(CustomLogger): self, exc: HTTPException, call_type: str | None, - responses_so_far: list[Any], + responses_so_far: Sequence[object], request_data: dict, - ) -> AsyncGenerator[Any, None]: + ) -> AsyncGenerator[object, None]: """Surface a mid-stream HTTPException. For A2A (NDJSON) call types the response has already started, so emit an in-stream JSON-RPC error chunk; otherwise re-raise so the proxy can report it. @@ -387,7 +419,7 @@ class UnifiedLLMGuardrails(CustomLogger): def _build_transform_chunk( self, *, - reference_chunk: Any, + reference_chunk: object, mutated_text_per_choice: dict[int, str], emitted_text_per_choice: dict[int, str], holdback_per_choice: dict[int, int], @@ -500,18 +532,18 @@ class UnifiedLLMGuardrails(CustomLogger): async def _emit_transform_round( self, *, - endpoint_translation: Any, + endpoint_translation: _EndpointTranslation, guardrail_to_apply: CustomGuardrail, request_data: dict, user_api_key_dict: UserAPIKeyAuth, call_type: str, - reference_chunk: Any, - responses_so_far: list[Any], - responses_yielded: list[Any], + reference_chunk: object, + responses_so_far: Sequence[object], + responses_yielded: list[object], emitted_text_per_choice: dict[int, str], finish_reason_per_choice: dict[int, str | None], is_final: bool, - ) -> AsyncGenerator[Any, None]: + ) -> AsyncGenerator[object, None]: """Run one guardrail processing round and emit the resulting diff chunk. Raises ``_StreamTerminated`` (after emitting the terminal block message or @@ -564,14 +596,14 @@ class UnifiedLLMGuardrails(CustomLogger): self, *, guardrail_to_apply: CustomGuardrail, - response: Any, + response: AsyncIterable[object], request_data: dict, user_api_key_dict: UserAPIKeyAuth, call_type: str, sampling_rate: int, end_of_stream_only: bool, - mappings: dict, - ) -> AsyncGenerator[Any, None]: + mappings: Mapping[CallTypes, type["BaseTranslation"]], + ) -> AsyncGenerator[object, None]: """Emit guardrail text transformations as new deltas on the stream. Raw chunks are withheld and accumulated; on each sampled processing round @@ -580,15 +612,15 @@ class UnifiedLLMGuardrails(CustomLogger): synthetic chunk. A BLOCK terminates the stream via the shared block handler; an underflow surfaces as an HTTPException. """ - endpoint_translation: Final = mappings[CallTypes(call_type)]() - responses_so_far: Final[list[Any]] = [] - responses_yielded: Final[list[Any]] = [] + endpoint_translation: Final = _as_endpoint_translation(mappings[CallTypes(call_type)]()) + responses_so_far: Final[list[object]] = [] + responses_yielded: Final[list[object]] = [] emitted_text_per_choice: Final[dict[int, str]] = {} finish_reason_per_choice: Final[dict[int, str | None]] = {} chunk_counter = 0 - last_chunk: Any | None = None + last_chunk: object | None = None - def _round(reference_chunk: Any, is_final: bool) -> AsyncGenerator[Any, None]: + def _round(reference_chunk: object, is_final: bool) -> AsyncGenerator[object, None]: return self._emit_transform_round( endpoint_translation=endpoint_translation, guardrail_to_apply=guardrail_to_apply, @@ -694,13 +726,13 @@ class UnifiedLLMGuardrails(CustomLogger): async def _inspect_full_response_for_block( self, *, - endpoint_translation: Any, + endpoint_translation: _EndpointTranslation, guardrail_to_apply: CustomGuardrail, request_data: dict, user_api_key_dict: UserAPIKeyAuth, - responses_so_far: list[Any], - responses_yielded: list[Any], - ) -> AsyncGenerator[Any, None]: + responses_so_far: Sequence[object], + responses_yielded: Sequence[object], + ) -> AsyncGenerator[object, None]: """Run the block-only guardrail inspection over the full assembled response (text + tool calls) so nothing bypasses the block decision. @@ -734,17 +766,17 @@ class UnifiedLLMGuardrails(CustomLogger): raise _StreamTerminated() @staticmethod - def _chunk_has_tool_calls(item: Any) -> bool: - for choice in getattr(item, "choices", None) or []: + def _chunk_has_tool_calls(item: object) -> bool: + for choice in _chunk_choices(item): delta = getattr(choice, "delta", None) if getattr(delta, "tool_calls", None): return True return False @staticmethod - def _chunk_carries_text(item: Any) -> bool: + def _chunk_carries_text(item: object) -> bool: """True if any choice in this chunk has non-empty string ``delta.content``.""" - for choice in getattr(item, "choices", None) or []: + for choice in _chunk_choices(item): delta = getattr(choice, "delta", None) content = getattr(delta, "content", None) if isinstance(content, str) and content != "": @@ -753,7 +785,7 @@ class UnifiedLLMGuardrails(CustomLogger): @staticmethod def _tool_call_passthrough_chunk( - item: Any, + item: object, finish_reason_per_choice: "dict[int, str | None] | None" = None, ) -> ModelResponseStream: """Copy of a chunk carrying tool calls with all text content stripped. @@ -772,7 +804,7 @@ class UnifiedLLMGuardrails(CustomLogger): redaction purpose. """ synthetic_choices: Final[list[StreamingChoices]] = [] - for choice in getattr(item, "choices", None) or []: + for choice in _chunk_choices(item): delta = getattr(choice, "delta", None) idx = getattr(choice, "index", 0) or 0 original_finish = getattr(choice, "finish_reason", None) @@ -801,15 +833,15 @@ class UnifiedLLMGuardrails(CustomLogger): ) @staticmethod - def _record_finish_reasons(item: Any, finish_reason_per_choice: dict[int, str | None]) -> None: - for choice in getattr(item, "choices", None) or []: + def _record_finish_reasons(item: object, finish_reason_per_choice: dict[int, str | None]) -> None: + for choice in _chunk_choices(item): finish_reason = getattr(choice, "finish_reason", None) if finish_reason is not None: finish_reason_per_choice[getattr(choice, "index", 0) or 0] = finish_reason @staticmethod - def _chunk_has_finish_reason(item: Any) -> bool: - choices: Final = getattr(item, "choices", None) or [] + def _chunk_has_finish_reason(item: object) -> bool: + choices: Final = _chunk_choices(item) return any(getattr(choice, "finish_reason", None) is not None for choice in choices) async def async_post_call_streaming_iterator_hook( @@ -845,22 +877,22 @@ class UnifiedLLMGuardrails(CustomLogger): # Get streaming configuration. Resolution order (later wins): default # < guardrail attribute < guardrail_config dict < this callback's # optional_params. - def _streaming_flag(name: str, default: Any) -> Any: + def _streaming_flag(name: str, default: object) -> Any: value = default if guardrail_to_apply is not None: value = getattr(guardrail_to_apply, name, value) - config: Final = getattr(guardrail_to_apply, "guardrail_config", {}) + config: Final[Mapping[str, object]] = getattr(guardrail_to_apply, "guardrail_config", {}) if isinstance(config, dict): value = config.get(name, value) return self.optional_params.get(name, value) - sampling_rate: Final = _streaming_flag("streaming_sampling_rate", 5) + sampling_rate: Final[int] = _streaming_flag("streaming_sampling_rate", 5) # Only apply the guardrail at end of stream (not per chunk). - end_of_stream_only = _streaming_flag("streaming_end_of_stream_only", False) + end_of_stream_only: bool = _streaming_flag("streaming_end_of_stream_only", False) # "block_only" (default) drops guardrail text rewrites on the streaming # path; "incremental_diff" emits them as synthetic deltas (see # _run_incremental_transform_stream). - streaming_transform_mode: Final = _streaming_flag("streaming_transform_mode", "block_only") + streaming_transform_mode: Final[str] = _streaming_flag("streaming_transform_mode", "block_only") # Withhold every chunk until end-of-stream moderation passes, then # release the original chunks (clean) or only the block message # (blocked) -- moderating the whole response *before* any content @@ -868,7 +900,9 @@ class UnifiedLLMGuardrails(CustomLogger): # release the original chunks are replayed as-is, so a # content-rewriting guardrail (e.g. PII masking) would leak # unredacted content. Guarded below via mask_response_content. - buffer_until_moderated = _streaming_flag("streaming_buffer_until_moderated", buffer_until_moderated_default) + buffer_until_moderated: bool = _streaming_flag( + "streaming_buffer_until_moderated", buffer_until_moderated_default + ) if ( buffer_until_moderated @@ -939,9 +973,9 @@ class UnifiedLLMGuardrails(CustomLogger): # Infer call type from first chunk call_type = None chunk_counter = 0 - responses_so_far: Final[list[Any]] = [] - responses_yielded: Final[list[Any]] = [] - pending_end_of_stream_items: Final[list[Any]] = [] + responses_so_far: Final[list[object]] = [] + responses_yielded: Final[list[object]] = [] + pending_end_of_stream_items: Final[list[object]] = [] # Whether any real response chunk has been forwarded to the client. # Drives how a block terminates the stream: continue the in-progress # message (True) vs emit a standalone block message (False, buffered). diff --git a/litellm/proxy/hooks/litellm_skills/main.py b/litellm/proxy/hooks/litellm_skills/main.py index dd61cad15a1..a64ed764a67 100644 --- a/litellm/proxy/hooks/litellm_skills/main.py +++ b/litellm/proxy/hooks/litellm_skills/main.py @@ -26,7 +26,8 @@ Usage: import base64 import json -from typing import Any, Final +from collections.abc import Mapping, Sequence +from typing import TYPE_CHECKING, Any, Final from litellm._logging import verbose_proxy_logger from litellm.caching.caching import DualCache @@ -36,7 +37,10 @@ from litellm.llms.litellm_proxy.skills.prompt_injection import ( SkillPromptInjectionHandler, ) from litellm.proxy._types import LiteLLM_SkillsTable, UserAPIKeyAuth -from litellm.types.utils import CallTypes, CallTypesLiteral +from litellm.types.utils import CallTypes, CallTypesLiteral, LLMResponseTypes + +if TYPE_CHECKING: + from litellm.llms.litellm_proxy.skills.sandbox_executor import SkillsSandboxExecutor class SkillsInjectionHook(CustomLogger): @@ -99,7 +103,7 @@ class SkillsInjectionHook(CustomLogger): verbose_proxy_logger.debug("SkillsInjectionHook: Processing %s skills", len(skills)) litellm_skills: Final[list[LiteLLM_SkillsTable]] = [] - anthropic_skills: Final[list[dict[str, Any]]] = [] + anthropic_skills: Final[list[dict[str, object]]] = [] # Separate skills by prefix for skill in skills: @@ -324,9 +328,9 @@ class SkillsInjectionHook(CustomLogger): async def async_post_call_success_deployment_hook( self, request_data: dict, - response: Any, + response: LLMResponseTypes, call_type: CallTypes | None, - ) -> Any | None: + ) -> LLMResponseTypes | None: """ Post-call hook to handle automatic code execution. @@ -372,7 +376,7 @@ class SkillsInjectionHook(CustomLogger): # Check if any tool call needs execution (litellm_code_execution or skill tool) has_executable_tool = False for tc in tool_calls: - tool_name = tc.get("name", "") + tool_name: str = tc.get("name", "") # Execute if it's litellm_code_execution OR a skill tool (litellm_skill_xxx) if tool_name == LiteLLMInternalTools.CODE_EXECUTION.value or tool_name.startswith(LITELLM_SKILL_ID_PREFIX): has_executable_tool = True @@ -441,7 +445,7 @@ class SkillsInjectionHook(CustomLogger): data: dict, response: Any, skill_files: dict[str, bytes], - ) -> Any: + ) -> LLMResponseTypes | None: """ Execute the code execution loop for messages API (Anthropic format). @@ -466,7 +470,7 @@ class SkillsInjectionHook(CustomLogger): max_tokens: Final = data.get("max_tokens", 4096) executor: Final = SkillsSandboxExecutor(timeout=self.sandbox_timeout) - generated_files: Final[list[dict[str, Any]]] = [] + generated_files: Final[list[dict[str, object]]] = [] current_response = response for iteration in range(self.max_iterations): @@ -511,9 +515,9 @@ class SkillsInjectionHook(CustomLogger): # Process tool calls tool_results = [] for tc in tool_calls: - tool_name = tc.get("name", "") + tool_name: str = tc.get("name", "") tool_id = tc.get("id", "") - tool_input = tc.get("input", {}) + tool_input: Mapping[str, str] = tc.get("input", {}) # Execute if it's litellm_code_execution OR a skill tool if tool_name == LiteLLMInternalTools.CODE_EXECUTION.value: @@ -561,8 +565,8 @@ class SkillsInjectionHook(CustomLogger): self, code: str, skill_files: dict[str, bytes], - executor: Any, - generated_files: list[dict[str, Any]], + executor: "SkillsSandboxExecutor", + generated_files: list[dict[str, object]], ) -> str: """Execute code in sandbox and return result string.""" try: @@ -574,7 +578,8 @@ class SkillsInjectionHook(CustomLogger): # Collect generated files if exec_result.get("files"): - for f in exec_result["files"]: + files: Final[Sequence[Mapping[str, str]]] = exec_result["files"] + for f in files: generated_files.append( { "name": f["name"], @@ -595,10 +600,10 @@ class SkillsInjectionHook(CustomLogger): async def _execute_skill_tool( self, tool_name: str, - tool_input: dict[str, Any], + tool_input: Mapping[str, str], skill_files: dict[str, bytes], - executor: Any, - generated_files: list[dict[str, Any]], + executor: "SkillsSandboxExecutor", + generated_files: list[dict[str, object]], ) -> str: """Execute a skill tool by generating and running code based on skill content.""" # Generate code based on available skill modules @@ -670,7 +675,7 @@ print('No executable skill module found') data: dict, response: Any, skill_files: dict[str, bytes], - ) -> Any: + ) -> LLMResponseTypes: """ Execute the code execution loop until model gives final response. @@ -704,7 +709,7 @@ print('No executable skill module found') kwargs: Final = {k: v for k, v in data.items() if k not in _EXCLUDED_ACOMPLETION_KEYS} executor: Final = SkillsSandboxExecutor(timeout=self.sandbox_timeout) - generated_files: Final[list[dict[str, Any]]] = [] + generated_files: Final[list[dict[str, object]]] = [] current_response: Any = response for iteration in range(self.max_iterations): @@ -713,7 +718,7 @@ print('No executable skill module found') stop_reason = current_response.choices[0].finish_reason # Build assistant message for conversation history - assistant_msg_dict: dict[str, Any] = { + assistant_msg_dict: dict[str, object] = { "role": "assistant", "content": assistant_message.content, } @@ -781,13 +786,13 @@ print('No executable skill module found') self, tool_call: Any, skill_files: dict[str, bytes], - executor: Any, - generated_files: list[dict[str, Any]], + executor: "SkillsSandboxExecutor", + generated_files: list[dict[str, object]], ) -> str: """Execute a litellm_code_execution tool call and return result string.""" try: args: Final = json.loads(tool_call.function.arguments) - code: Final = args.get("code", "") + code: Final[str] = args.get("code", "") verbose_proxy_logger.debug("SkillsInjectionHook: Executing code (%s chars)", len(code)) @@ -802,7 +807,8 @@ print('No executable skill module found') # Collect generated files if exec_result.get("files"): tool_result += "\n\nGenerated files:" - for f in exec_result["files"]: + files: Final[Sequence[Mapping[str, str]]] = exec_result["files"] + for f in files: file_content = base64.b64decode(f["content_base64"]) generated_files.append( { @@ -830,8 +836,8 @@ print('No executable skill module found') def _attach_files_to_response( self, response: Any, - generated_files: list[dict[str, Any]], - ) -> Any: + generated_files: list[dict[str, object]], + ) -> LLMResponseTypes: """ Attach generated files to the response object. @@ -841,11 +847,13 @@ print('No executable skill module found') if not generated_files: return response + raw_response: Final = response + # Handle dict response (Anthropic/messages API format) if isinstance(response, dict): response["_litellm_generated_files"] = generated_files verbose_proxy_logger.debug("SkillsInjectionHook: Attached %s files to dict response", len(generated_files)) - return response + return raw_response # Handle object response (OpenAI format) try: diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py index f2cb1124fa0..2de1d177b33 100644 --- a/litellm/proxy/management_endpoints/key_management_endpoints.py +++ b/litellm/proxy/management_endpoints/key_management_endpoints.py @@ -18,7 +18,7 @@ import os import re import secrets import traceback -from collections.abc import Callable, Mapping, Sequence +from collections.abc import Awaitable, Callable, Mapping, Sequence from datetime import datetime, timedelta, timezone from typing import Any, Final, Literal, Optional, Protocol, TypeVar, cast @@ -171,8 +171,12 @@ class _PrismaTableActions(Protocol[_PrismaRowT]): async def count(self, *, where: Mapping[str, object] | None = None) -> int: ... + async def create(self, *, data: Mapping[str, object]) -> _PrismaRowT: ... + async def create_many(self, *, data: Sequence[Mapping[str, object]]) -> int: ... + async def delete_many(self, *, where: Mapping[str, object] | None = None) -> int: ... + async def update( self, *, @@ -181,6 +185,10 @@ class _PrismaTableActions(Protocol[_PrismaRowT]): ) -> _PrismaRowT | None: ... +class _TxTables(Protocol): + litellm_proxymodeltable: _PrismaTableActions[object] + + def _prisma_table( repository: BaseRepository[_RepositoryModelT], ) -> _PrismaTableActions[_RepositoryModelT]: @@ -1650,9 +1658,12 @@ async def generate_key_fn( detail={"error": f"soft_budget must be a non-negative finite number. Received: {data.soft_budget}"}, ) - if user_custom_key_generate is not None: - if inspect.iscoroutinefunction(user_custom_key_generate): - result: Final = await user_custom_key_generate(data) + custom_key_generate_hook: Final[Callable[..., Awaitable[Mapping[str, object]]] | None] = ( + user_custom_key_generate + ) + if custom_key_generate_hook is not None: + if inspect.iscoroutinefunction(custom_key_generate_hook): + result: Final = await custom_key_generate_hook(data) else: raise ValueError("user_custom_key_generate must be a coroutine") decision: Final = result.get("decision", True) @@ -1847,9 +1858,10 @@ async def generate_service_account_key_fn( verbose_proxy_logger.debug("entered /key/generate") - if user_custom_key_generate is not None: - if inspect.iscoroutinefunction(user_custom_key_generate): - result: Final = await user_custom_key_generate(data) + custom_key_generate_hook: Final[Callable[..., Awaitable[Mapping[str, object]]] | None] = user_custom_key_generate + if custom_key_generate_hook is not None: + if inspect.iscoroutinefunction(custom_key_generate_hook): + result: Final = await custom_key_generate_hook(data) else: raise ValueError("user_custom_key_generate must be a coroutine") decision: Final = result.get("decision", True) @@ -1918,7 +1930,7 @@ def prepare_metadata_fields(data: BaseModel, non_default_values: dict, existing_ ) casted_metadata[reserved_field] = existing_value - data_json: Final = data.model_dump(exclude_unset=True, exclude_none=True) + data_json: Final[Mapping[str, object]] = data.model_dump(exclude_unset=True, exclude_none=True) try: for k, v in data_json.items(): @@ -2179,7 +2191,7 @@ async def _process_single_key_update( llm_router: Router | None, user_custom_key_update: Callable | None = None, existing_key_row: LiteLLM_VerificationToken | None = None, -) -> dict[str, Any]: +) -> dict[str, object]: """ Process a single key update with all validations and checks. @@ -2722,9 +2734,10 @@ async def update_key_fn( ) # Custom key update hook - if user_custom_key_update is not None: - if inspect.iscoroutinefunction(user_custom_key_update): - result: Final = await user_custom_key_update(data) + custom_key_update_hook: Final[Callable[..., Awaitable[Mapping[str, object]]] | None] = user_custom_key_update + if custom_key_update_hook is not None: + if inspect.iscoroutinefunction(custom_key_update_hook): + result: Final = await custom_key_update_hook(data) else: raise ValueError("user_custom_key_update must be a coroutine") decision: Final = result.get("decision", True) @@ -4089,10 +4102,11 @@ async def delete_verification_tokens( failed_tokens: list = [] try: if prisma_client: - tokens = [_hash_token_if_needed(token=key) for key in tokens] - _keys_being_deleted: Final[list[LiteLLM_VerificationToken]] = await VerificationTokenRepository( - prisma_client - ).table.find_many(where={"token": {"in": tokens}}) + hashed_tokens: Final[list[str]] = [_hash_token_if_needed(token=key) for key in tokens] + tokens = hashed_tokens + _keys_being_deleted: Final[list[LiteLLM_VerificationToken]] = await _prisma_table( + VerificationTokenRepository(prisma_client) + ).find_many(where={"token": {"in": hashed_tokens}}) if len(_keys_being_deleted) == 0: raise HTTPException( @@ -4291,7 +4305,7 @@ async def _rotate_master_key( if models: decrypted_models: Final = proxy_config.decrypt_model_list_from_db(new_models=models) verbose_proxy_logger.debug("ABLE TO DECRYPT MODELS - len(decrypted_models): %s", len(decrypted_models)) - new_models: Final = [] + new_models: Final[list[dict[str, object]]] = [] for model in decrypted_models: new_model = await _add_model_to_db( model_params=Deployment(**model), @@ -4306,7 +4320,8 @@ async def _rotate_master_key( _dumped["model_info"] = prisma.Json(_dumped["model_info"]) new_models.append(_dumped) verbose_proxy_logger.debug("Resetting proxy model table") - async with prisma_client.db.tx() as tx: + async with prisma_client.db.tx() as tx_ctx: + tx: Final[_TxTables] = tx_ctx await tx.litellm_proxymodeltable.delete_many() verbose_proxy_logger.debug("Creating %s models", len(new_models)) await tx.litellm_proxymodeltable.create_many( @@ -4630,7 +4645,7 @@ async def _execute_virtual_key_regeneration( _validate_key_alias_format(key_alias=new_key_alias) verbose_proxy_logger.debug("non_default_values: %s", non_default_values) update_data.update(non_default_values) - update_data = prisma_client.jsonify_object(data=update_data) + jsonified_update_data: Final[Mapping[str, object]] = prisma_client.jsonify_object(data=update_data) # If grace period set, insert deprecated key so old key remains valid await _insert_deprecated_key( @@ -4642,9 +4657,9 @@ async def _execute_virtual_key_regeneration( updated_token: Final = await VerificationTokenRepository(prisma_client).table.update( where={"token": hashed_api_key}, - data=update_data, + data=jsonified_update_data, ) - updated_token_dict: Final = dict(updated_token) if updated_token is not None else {} + updated_token_dict: Final[dict[str, object]] = dict(updated_token) if updated_token is not None else {} updated_token_dict["key"] = new_token updated_token_dict["token_id"] = updated_token_dict.pop("token") @@ -5589,7 +5604,7 @@ async def key_aliases( where_sql: Final = " AND ".join(where_parts) count_sql: Final = f'SELECT COUNT(*) AS count FROM "LiteLLM_VerificationToken" WHERE {where_sql}' - count_rows: Final = await prisma_client.db.query_raw(count_sql, *query_params) + count_rows: Final[Sequence[Mapping[str, int]]] = await prisma_client.db.query_raw(count_sql, *query_params) total_count: Final = int(count_rows[0]["count"]) if count_rows else 0 aliases_params: Final = query_params + [size, (page - 1) * size] @@ -5602,7 +5617,7 @@ async def key_aliases( f" ORDER BY key_alias ASC" f" LIMIT ${limit_idx} OFFSET ${offset_idx}" ) - alias_rows: Final = await prisma_client.db.query_raw(aliases_sql, *aliases_params) + alias_rows: Final[Sequence[Mapping[str, str]]] = await prisma_client.db.query_raw(aliases_sql, *aliases_params) aliases: Final[list[str]] = [row["key_alias"] for row in alias_rows if row.get("key_alias")] total_pages: Final = -(-total_count // size) if total_count > 0 else 0 @@ -5695,7 +5710,7 @@ def _build_key_filter_conditions( agent_id: str | None = None, use_substring_matching: bool = False, expires_filter: str | None = None, -) -> dict[str, str | dict[str, Any] | list[dict[str, Any]]]: +) -> Mapping[str, object]: """Build filter conditions for key listing. Visibility rules: @@ -5707,14 +5722,14 @@ def _build_key_filter_conditions( so former members cannot see service accounts they created after leaving. """ # Prepare filter conditions - where: dict[str, str | dict[str, Any] | list[dict[str, Any]]] = {} + where: dict[str, object] = {} where.update(_get_condition_to_filter_out_ui_session_tokens()) # Build the OR conditions for user's keys and admin team keys - or_conditions: Final[list[dict[str, Any]]] = [] + or_conditions: Final[list[dict[str, object]]] = [] # Base conditions for user's own keys - user_condition: Final[dict[str, Any]] = {} + user_condition: Final[dict[str, object]] = {} if user_id and isinstance(user_id, str): if use_substring_matching: user_condition["user_id"] = { @@ -5784,7 +5799,7 @@ def _build_key_filter_conditions( # Apply team_id, project_id and access_group_id as global AND filters so they # narrow results across all visibility conditions (own keys, team keys, etc.) - global_filters: tuple[dict[str, Any], ...] = ( + global_filters: Final[tuple[dict[str, object], ...]] = ( *( ( {"key_alias": {"contains": key_alias, "mode": "insensitive"}} @@ -5805,7 +5820,7 @@ def _build_key_filter_conditions( else () ), ) - combined_where = {"AND": [where, *global_filters]} if global_filters else where + combined_where: Final[Mapping[str, object]] = {"AND": [where, *global_filters]} if global_filters else where verbose_proxy_logger.debug("Filter conditions: %s", combined_where) return combined_where @@ -5986,7 +6001,7 @@ async def _list_key_helper( ) -def _get_condition_to_filter_out_ui_session_tokens() -> dict[str, Any]: +def _get_condition_to_filter_out_ui_session_tokens() -> Mapping[str, object]: """ Condition to filter out UI session tokens """ @@ -6395,7 +6410,7 @@ async def _can_user_query_key_info( async def test_key_logging( user_api_key_dict: UserAPIKeyAuth, request: Request, - key_logging: list[dict[str, Any]], + key_logging: Sequence[Mapping[str, str]], ) -> LoggingCallbackStatus: """ Test the key-based logging diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py index 71407c89813..c2087005863 100644 --- a/litellm/proxy/management_endpoints/model_management_endpoints.py +++ b/litellm/proxy/management_endpoints/model_management_endpoints.py @@ -13,9 +13,9 @@ model/{model_id}/update - PATCH endpoint for model update. import asyncio import datetime import json -from collections.abc import Mapping, Sequence +from collections.abc import Awaitable, Mapping, Sequence from json import JSONDecodeError -from typing import Any, Final, Literal, cast +from typing import Final, Literal, Protocol, cast from fastapi import APIRouter, Depends, Header, HTTPException, Request, status from pydantic import BaseModel, ConfigDict, Field, ValidationError @@ -78,9 +78,7 @@ from litellm.types.proxy.management_endpoints.model_management_endpoints import from litellm.types.router import ( SPECIAL_MODEL_INFO_PARAMS, Deployment, - DeploymentTypedDict, GenericLiteLLMParams, - LiteLLMParamsTypedDict, updateDeployment, ) from litellm.utils import get_utc_datetime @@ -104,10 +102,80 @@ class UpdatePublicModelGroupsRequest(BaseModel): model_config = ConfigDict(extra="forbid") +class _ProxyModelRow(Protocol): + model_id: str + model_name: str + model_info: Mapping[str, object] | None + + def model_dump_json(self, *, exclude_none: bool = False) -> str: ... + + +class _ProxyModelTable(Protocol): + def find_unique(self, *, where: Mapping[str, object]) -> Awaitable[_ProxyModelRow | None]: ... + + def find_many(self, *, where: Mapping[str, object]) -> Awaitable[Sequence[_ProxyModelRow]]: ... + + def update(self, *, where: Mapping[str, object], data: Mapping[str, object]) -> Awaitable[_ProxyModelRow]: ... + + def delete(self, *, where: Mapping[str, object]) -> Awaitable[_ProxyModelRow | None]: ... + + def delete_many(self, *, where: Mapping[str, object]) -> Awaitable[int]: ... + + +class _TxModelTables(Protocol): + litellm_proxymodeltable: _ProxyModelTable + + +class _TeamRow(Protocol): + models: Sequence[str] + + def model_dump(self) -> Mapping[str, object]: ... + + +class _TeamTable(Protocol): + def find_unique(self, *, where: Mapping[str, object]) -> Awaitable[_TeamRow | None]: ... + + def update( + self, *, where: Mapping[str, object], data: Mapping[str, object], include: Mapping[str, bool] + ) -> Awaitable[LiteLLM_TeamTable]: ... + + +class _TeamIdRef(Protocol): + team_id: str + + +class _ModelAliasRow(Protocol): + id: int + model_aliases: dict[str, str] + team: _TeamIdRef | None + + +class _ModelAliasTable(Protocol): + def find_many(self, *, include: Mapping[str, bool]) -> Awaitable[Sequence[_ModelAliasRow]]: ... + + def update(self, *, where: Mapping[str, object], data: Mapping[str, object]) -> Awaitable[object]: ... + + +def _proxy_model_table(prisma_client: PrismaClient) -> _ProxyModelTable: + return ModelRepository(prisma_client).table + + +def _repo_team_table(prisma_client: PrismaClient) -> _TeamTable: + return TeamRepository(prisma_client).table + + +def _db_team_table(prisma_client: PrismaClient) -> _TeamTable: + return prisma_client.db.litellm_teamtable + + +def _model_alias_table(prisma_client: PrismaClient) -> _ModelAliasTable: + return ModelTableRepository(prisma_client).table + + async def get_db_model(model_id: str, prisma_client: PrismaClient) -> Deployment | None: db_model: Final = cast( BaseModel | None, - await ModelRepository(prisma_client).table.find_unique(where={"model_id": model_id}), + await _proxy_model_table(prisma_client).find_unique(where={"model_id": model_id}), ) if not db_model: @@ -166,14 +234,9 @@ def _raise_on_strategy_router_write_violation( def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> PrismaCompatibleUpdateDBModel: - merged_deployment_dict: Final = DeploymentTypedDict( - model_name=db_model.model_name, - litellm_params=LiteLLMParamsTypedDict(**db_model.litellm_params.model_dump(exclude_none=True)), - model_info=db_model.model_info.model_dump(exclude_none=True), - ) - # update model name - if updated_patch.model_name: - merged_deployment_dict["model_name"] = updated_patch.model_name + merged_model_name: Final = updated_patch.model_name or db_model.model_name + merged_litellm_params: Final = db_model.litellm_params.model_dump(exclude_none=True) + merged_model_info: Final = db_model.model_info.model_dump(exclude_none=True) # update litellm params if updated_patch.litellm_params: @@ -182,13 +245,11 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr k: encrypt_value_helper(v) for k, v in updated_patch.litellm_params.model_dump(exclude_none=True).items() } - merged_deployment_dict["litellm_params"].update(encrypted_params) + merged_litellm_params.update(encrypted_params) # update model info if updated_patch.model_info: - if "model_info" not in merged_deployment_dict: - merged_deployment_dict["model_info"] = {} - merged_deployment_dict["model_info"].update(updated_patch.model_info.model_dump(exclude_none=True)) + merged_model_info.update(updated_patch.model_info.model_dump(exclude_none=True)) # Honor explicit-null clears LAST, after both merges, so a model_info blob the UI # passes through (which today re-sends the OLD pricing on every save) cannot @@ -202,29 +263,25 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr if updated_patch.litellm_params: for field in updated_patch.litellm_params.model_fields_set: if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.litellm_params, field) is None: - merged_deployment_dict["litellm_params"].pop(field, None) - merged_deployment_dict.get("model_info", {}).pop(field, None) + merged_litellm_params.pop(field, None) + merged_model_info.pop(field, None) if updated_patch.model_info: for field in updated_patch.model_info.model_fields_set: if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.model_info, field) is None: - merged_deployment_dict["model_info"].pop(field, None) - merged_deployment_dict.get("litellm_params", {}).pop(field, None) + merged_model_info.pop(field, None) + merged_litellm_params.pop(field, None) # convert to prisma compatible format - prisma_compatible_model_dict: Final = PrismaCompatibleUpdateDBModel() - if "model_name" in merged_deployment_dict: - prisma_compatible_model_dict["model_name"] = merged_deployment_dict["model_name"] + for key, value in merged_model_info.items(): + if isinstance(value, datetime.datetime): + merged_model_info[key] = value.isoformat() - if "litellm_params" in merged_deployment_dict: - prisma_compatible_model_dict["litellm_params"] = json.dumps(merged_deployment_dict["litellm_params"]) - - if "model_info" in merged_deployment_dict: - model_info: Final = merged_deployment_dict["model_info"] - for key, value in model_info.items(): - if isinstance(value, datetime.datetime): - model_info[key] = value.isoformat() - prisma_compatible_model_dict["model_info"] = json.dumps(model_info) + prisma_compatible_model_dict: Final = PrismaCompatibleUpdateDBModel( + model_name=merged_model_name, + litellm_params=json.dumps(merged_litellm_params), + model_info=json.dumps(merged_model_info), + ) if updated_patch.blocked is not None: prisma_compatible_model_dict["blocked"] = updated_patch.blocked @@ -338,7 +395,7 @@ async def patch_model( update_data["updated_at"] = cast(str, get_utc_datetime()) # Perform partial update - updated_model: Final = await ModelRepository(prisma_client).table.update( + updated_model: Final = await _proxy_model_table(prisma_client).update( where={"model_id": model_id}, data=update_data, ) @@ -769,8 +826,8 @@ async def _setup_new_team_model_assignment( async def _get_team_deployments( - team_id: str, prisma_client: PrismaClient, table: Any | None = None -) -> list[LiteLLM_ProxyModelTable]: + team_id: str, prisma_client: PrismaClient, table: _ProxyModelTable | None = None +) -> Sequence[_ProxyModelRow]: """ Fetch all deployments for a given team_id from the database. @@ -785,7 +842,7 @@ async def _get_team_deployments( existing transaction. """ prefix: Final = f"model_name_{team_id}_" - table = table or ModelRepository(prisma_client).table + table = table or _proxy_model_table(prisma_client) response: Final = await table.find_many( where={ "model_name": {"startswith": prefix}, @@ -806,7 +863,7 @@ async def _get_team_deployments( async def delete_team_models( team_ids: list[str], prisma_client: PrismaClient, - llm_router: Any | None, + llm_router: Router | None, ) -> list[str]: """ Delete every BYOK model owned by the given teams, from the DB and the router. @@ -820,7 +877,8 @@ async def delete_team_models( Returns the model_ids that were deleted. """ deleted_model_ids: Final[list[str]] = [] - async with prisma_client.db.tx() as tx: + async with prisma_client.db.tx() as tx_ctx: + tx: Final[_TxModelTables] = tx_ctx for team_id in team_ids: rows = await _get_team_deployments(team_id, prisma_client, table=tx.litellm_proxymodeltable) model_ids = [row.model_id for row in rows] @@ -920,11 +978,11 @@ async def _remove_unbacked_team_models( if not names_to_remove: return - existing_team_row: Final = await prisma_client.db.litellm_teamtable.find_unique(where={"team_id": team_id}) + existing_team_row: Final = await _db_team_table(prisma_client).find_unique(where={"team_id": team_id}) if existing_team_row is None: return - updated_team_row: Final[LiteLLM_TeamTable] = await prisma_client.db.litellm_teamtable.update( + updated_team_row: Final[LiteLLM_TeamTable] = await _db_team_table(prisma_client).update( where={"team_id": team_id}, data={"models": [model for model in existing_team_row.models if model not in names_to_remove]}, include={"object_permission": True}, @@ -953,7 +1011,7 @@ async def _update_existing_team_model_assignment( """ def _get_team_public_model_name( - model_info: dict | str | None, + model_info: object, ) -> str | None: parsed: Final = model_info_as_mapping(model_info) if parsed is None: @@ -1062,7 +1120,7 @@ class ModelManagementAuthChecks: detail={"error": CommonProxyErrors.not_premium_user.value}, ) - _existing_team_row: Final = await TeamRepository(prisma_client).table.find_unique( + _existing_team_row: Final = await _repo_team_table(prisma_client).find_unique( where={"team_id": model_params.model_info.team_id} ) @@ -1091,7 +1149,7 @@ class ModelManagementAuthChecks: ) -> Literal[True]: ## Check team model auth if model_params.model_info is not None and model_params.model_info.team_id is not None: - team_obj_row: Final = await TeamRepository(prisma_client).table.find_unique( + team_obj_row: Final = await _repo_team_table(prisma_client).find_unique( where={"team_id": model_params.model_info.team_id} ) if team_obj_row is None: @@ -1192,7 +1250,7 @@ async def delete_model( - store keys separately """ # encrypt litellm params # - result: Final = await ModelRepository(prisma_client).table.delete(where={"model_id": model_info.id}) + result: Final = await _proxy_model_table(prisma_client).delete(where={"model_id": model_info.id}) if result is None: raise HTTPException( @@ -1265,9 +1323,9 @@ async def delete_team_model_alias( Returns: - List of team id + model alias pairs that were removed """ - team_model_aliases: Final = await ModelTableRepository(prisma_client).table.find_many(include={"team": True}) + team_model_aliases: Final = await _model_alias_table(prisma_client).find_many(include={"team": True}) tasks: Final = [] - removed_model_aliases: Final = [] + removed_model_aliases: Final[list[tuple[str, str]]] = [] for team_model_alias in team_model_aliases: model_aliases = team_model_alias.model_aliases # {"alias": "public model name"} id = team_model_alias.id @@ -1278,7 +1336,7 @@ async def delete_team_model_alias( removed_model_aliases.append((team_model_alias.team.team_id, key)) del model_aliases[key] tasks.append( - ModelTableRepository(prisma_client).table.update( + _model_alias_table(prisma_client).update( where={"id": id}, data={"model_aliases": json.dumps(model_aliases)}, ) @@ -1492,7 +1550,7 @@ async def update_model( }, ) - _model_id = None + _model_id: str | None = None _model_info: Final = getattr(model_params, "model_info", None) if _model_info is None: raise Exception("model_info not provided") @@ -1551,11 +1609,11 @@ async def update_model( else: pass - _data: Final[dict] = { + _data: Final[dict[str, str]] = { "litellm_params": json.dumps(merged_dictionary), "updated_by": user_api_key_dict.user_id or LITELLM_PROXY_ADMIN_NAME, } - model_response: Final = await ModelRepository(prisma_client).table.update( + model_response: Final = await _proxy_model_table(prisma_client).update( where={"model_id": _model_id}, data=_data, ) diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 0b99879f9fe..97f494c51de 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -15,11 +15,11 @@ import math import traceback from collections.abc import Mapping, Sequence from datetime import datetime, timezone -from typing import Annotated, Final, Protocol, TypeVar, cast +from typing import Annotated, Final, Protocol, TypedDict, TypeVar, cast import fastapi from fastapi import APIRouter, Depends, Header, HTTPException, Request, status -from pydantic import BaseModel +from pydantic import BaseModel, JsonValue import litellm from litellm._logging import verbose_proxy_logger @@ -29,6 +29,7 @@ from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.proxy._types import ( UI_TEAM_ID, BlockTeamRequest, + BudgetNewRequest, CommonProxyErrors, DeleteTeamRequest, LiteLLM_AccessGroupTable, @@ -156,6 +157,15 @@ router: Final = APIRouter() _DbRecordT = TypeVar("_DbRecordT") +class _TeamIdKeyCount(TypedDict): + team_id: int + + +class _TeamIdGroupRow(TypedDict): + team_id: str + _count: _TeamIdKeyCount + + class _PrismaTableActions(Protocol[_DbRecordT]): async def find_unique( self, @@ -220,59 +230,127 @@ class _PrismaTableActions(Protocol[_DbRecordT]): where: Mapping[str, object] | None = None, ) -> int: ... + async def group_by( + self, + by: Sequence[str], + where: Mapping[str, object] | None = None, + count: Mapping[str, bool] | None = None, + ) -> Sequence[_TeamIdGroupRow]: ... + + +class _HasTableActions(Protocol[_DbRecordT]): + @property + def table(self) -> "_PrismaTableActions[_DbRecordT]": ... + + +def _typed_table( + repo: "_HasTableActions[_DbRecordT]", record_type: type[_DbRecordT] +) -> "_PrismaTableActions[_DbRecordT]": + return repo.table + + +def _as_object(value: object) -> object: + return value + + +def _nullable(value: _DbRecordT | None) -> _DbRecordT | None: + return value + + +class _UserIdRow(Protocol): + @property + def user_id(self) -> str | None: ... + + +class _HasUserIdTable(Protocol): + @property + def table(self) -> "_PrismaTableActions[_UserIdRow]": ... + + +def _user_id_rows_db(repo: "_HasUserIdTable") -> "_PrismaTableActions[_UserIdRow]": + return repo.table + + +class _RawTeamRow(Protocol): + @property + def members_with_roles(self) -> Sequence[Mapping[str, object]] | None: ... + + +class _HasRawTeamTable(Protocol): + @property + def table(self) -> "_PrismaTableActions[_RawTeamRow]": ... + + +def _raw_team_db(repo: "_HasRawTeamTable") -> "_PrismaTableActions[_RawTeamRow]": + return repo.table + + +class _BudgetWriteCall(Protocol): + async def __call__( + self, budget_obj: BudgetNewRequest, user_api_key_dict: UserAPIKeyAuth + ) -> LiteLLM_BudgetTableFull: ... + + +def _as_budget_write(fn: "_BudgetWriteCall") -> "_BudgetWriteCall": + return fn + + +class _TeamFindManyArgs(TypedDict, total=False): + take: int + skip: int + order: Mapping[str, str] + cursor: Mapping[str, object] + + +class _TeamUiViewFilters(TypedDict, total=False): + team_id: Mapping[str, str] + team_alias: Mapping[str, str] + + +class _TeamIdInFilter(TypedDict, total=False): + team_id: Mapping[str, Sequence[str]] + def _team_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_TeamTable]": - team_table: Final[_PrismaTableActions[LiteLLM_TeamTable]] = TeamRepository(prisma_client).table - return team_table + return _typed_table(TeamRepository(prisma_client), LiteLLM_TeamTable) def _team_membership_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_TeamMembership]": - membership_table: Final[_PrismaTableActions[LiteLLM_TeamMembership]] = TeamMembershipRepository(prisma_client).table - return membership_table + return _typed_table(TeamMembershipRepository(prisma_client), LiteLLM_TeamMembership) def _user_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_UserTable]": - user_table: Final[_PrismaTableActions[LiteLLM_UserTable]] = UserRepository(prisma_client).table - return user_table + return _typed_table(UserRepository(prisma_client), LiteLLM_UserTable) def _model_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_ModelTable]": - model_table: Final[_PrismaTableActions[LiteLLM_ModelTable]] = ModelTableRepository(prisma_client).table - return model_table + return _typed_table(ModelTableRepository(prisma_client), LiteLLM_ModelTable) def _org_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_OrganizationTable]": - org_table: Final[_PrismaTableActions[LiteLLM_OrganizationTable]] = OrganizationRepository(prisma_client).table - return org_table + return _typed_table(OrganizationRepository(prisma_client), LiteLLM_OrganizationTable) def _org_membership_db( prisma_client: PrismaClient | None, ) -> "_PrismaTableActions[LiteLLM_OrganizationMembershipTable]": - org_membership_table: _PrismaTableActions[LiteLLM_OrganizationMembershipTable] = OrganizationMembershipRepository( - prisma_client - ).table - return org_membership_table + return _typed_table(OrganizationMembershipRepository(prisma_client), LiteLLM_OrganizationMembershipTable) def _budget_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_BudgetTableFull]": - budget_table: Final[_PrismaTableActions[LiteLLM_BudgetTableFull]] = BudgetRepository(prisma_client).table - return budget_table + return _typed_table(BudgetRepository(prisma_client), LiteLLM_BudgetTableFull) def _deleted_team_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_DeletedTeamTable]": - deleted_team_table: _PrismaTableActions[LiteLLM_DeletedTeamTable] = DeletedTeamRepository(prisma_client).table - return deleted_team_table + return _typed_table(DeletedTeamRepository(prisma_client), LiteLLM_DeletedTeamTable) def _access_group_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_AccessGroupTable]": - access_group_table: _PrismaTableActions[LiteLLM_AccessGroupTable] = AccessGroupRepository(prisma_client).table - return access_group_table + return _typed_table(AccessGroupRepository(prisma_client), LiteLLM_AccessGroupTable) def _tokens_db(prisma_client: PrismaClient | None) -> "_PrismaTableActions[LiteLLM_VerificationToken]": - tokens_table: _PrismaTableActions[LiteLLM_VerificationToken] = VerificationTokenRepository(prisma_client).table - return tokens_table + return _typed_table(VerificationTokenRepository(prisma_client), LiteLLM_VerificationToken) def _sanitize_for_log(value: object) -> str: @@ -408,7 +486,7 @@ class TeamMemberBudgetHandler: if team_member_budget_duration is not None: budget_request.budget_duration = team_member_budget_duration - team_member_budget_table: Final = await new_budget( + team_member_budget_table: Final = await _as_budget_write(new_budget)( budget_obj=budget_request, user_api_key_dict=user_api_key_dict, ) @@ -456,7 +534,7 @@ class TeamMemberBudgetHandler: if team_member_budget_duration is not None: budget_request.budget_duration = team_member_budget_duration - budget_row: Final = await update_budget( + budget_row: Final = await _as_budget_write(update_budget)( budget_obj=budget_request, user_api_key_dict=user_api_key_dict, ) @@ -571,7 +649,7 @@ class TeamMemberBudgetHandler: ) if missing: - await TeamMembershipRepository(prisma_client).table.create_many( + await _team_membership_db(prisma_client).create_many( data=missing, skip_duplicates=True, # safety net against concurrent races ) @@ -1407,9 +1485,10 @@ async def new_team( complete_team_data_dict["metadata"] = encrypt_callback_vars(complete_team_data_dict["metadata"]) complete_team_data_dict = prisma_client.jsonify_team_object(db_data=complete_team_data_dict) + team_creation_data: Final[Mapping[str, object]] = complete_team_data_dict - team_row: Final[LiteLLM_TeamTable] = await TeamRepository(prisma_client).table.create( - data=complete_team_data_dict, + team_row: Final[LiteLLM_TeamTable] = await _team_db(prisma_client).create( + data=team_creation_data, include={"litellm_model_table": True}, ) @@ -1856,7 +1935,7 @@ async def update_team( detail={"error": f"soft_budget must be a non-negative finite number. Received: {data.soft_budget}"}, ) - existing_team_row = await TeamRepository(prisma_client).table.find_unique(where={"team_id": data.team_id}) + existing_team_row = await _team_db(prisma_client).find_unique(where={"team_id": data.team_id}) if existing_team_row is None: raise HTTPException( @@ -1884,7 +1963,7 @@ async def update_team( ) if data.max_budget is not None: - existing_soft_budget: Final = getattr(existing_team_row, "soft_budget", None) + existing_soft_budget: Final[object] = _as_object(getattr(existing_team_row, "soft_budget", None)) soft_budget_to_check: Final = data.soft_budget if data.soft_budget is not None else existing_soft_budget if soft_budget_to_check is not None and isinstance(soft_budget_to_check, (int, float)): if data.max_budget <= soft_budget_to_check: @@ -1943,7 +2022,7 @@ async def update_team( data.organization_id = None # check org team limits - if updating team that belongs to an org - org_id_to_check: Final = ( + org_id_to_check: Final[object] = _as_object( data.organization_id if data.organization_id is not None else existing_team_row.organization_id ) if org_id_to_check is not None and isinstance(org_id_to_check, str) and prisma_client is not None: @@ -1976,7 +2055,7 @@ async def update_team( TeamMemberBudgetHandler.strip_system_managed_metadata_keys(updated_kv["metadata"]) if "metadata" in updated_kv: - stored_metadata: Final = ( + stored_metadata: Final[Mapping[str, JsonValue] | None] = ( { # mutable-ok: the validator payload's isinstance guard requires a plain dict key: value for key, value in existing_team_row.metadata.items() @@ -2079,16 +2158,19 @@ async def update_team( updated_kv["router_settings"] = safe_dumps(updated_kv["router_settings"]) updated_kv = prisma_client.jsonify_team_object(db_data=updated_kv) - team_row: Final[LiteLLM_TeamTable | None] = await TeamRepository(prisma_client).table.update( - where={"team_id": data.team_id}, - data=updated_kv, - # `object_permission` is included so `_refresh_cached_team` - # doesn't write a cached team with the relation nulled out — - # see team_model_add for the full rationale. - include={ - "litellm_model_table": True, - "object_permission": True, - }, + team_update_data: Final[Mapping[str, object]] = updated_kv + team_row: Final[LiteLLM_TeamTable | None] = _nullable( + await _team_db(prisma_client).update( + where={"team_id": data.team_id}, + data=team_update_data, + # `object_permission` is included so `_refresh_cached_team` + # doesn't write a cached team with the relation nulled out — + # see team_model_add for the full rationale. + include={ + "litellm_model_table": True, + "object_permission": True, + }, + ) ) if team_row is None or team_row.team_id is None: @@ -2603,7 +2685,7 @@ async def _resolve_existing_member_user_ids( if not requested_user_ids: return frozenset() - found: Final = await UserRepository(prisma_client).table.find_many( + found: Final = await _user_id_rows_db(UserRepository(prisma_client)).find_many( where={ # mutable-ok: Prisma query filters are dict-shaped "user_id": { # mutable-ok: Prisma query filters are dict-shaped "in": sorted(requested_user_ids) @@ -3098,7 +3180,9 @@ async def team_member_delete( key_val["user_id"] = data.user_id elif data.user_email is not None: key_val["user_email"] = data.user_email - existing_user_rows: Final = await UserRepository(prisma_client).table.find_many(where=key_val) + existing_user_rows: Final[Sequence[LiteLLM_UserTable] | None] = await UserRepository(prisma_client).table.find_many( + where=key_val + ) if existing_user_rows is not None and (isinstance(existing_user_rows, list) and len(existing_user_rows) > 0): for existing_user in existing_user_rows: @@ -3106,7 +3190,7 @@ async def team_member_delete( if data.team_id in existing_user.teams: team_list = existing_user.teams team_list.remove(data.team_id) - await UserRepository(prisma_client).table.update( + await _user_db(prisma_client).update( where={ "user_id": existing_user.user_id, }, @@ -3114,7 +3198,7 @@ async def team_member_delete( ) # Also clean up any existing team membership rows for this user and team - user_ids_to_delete: Final = set() + user_ids_to_delete: Final = set[str]() if data.user_id is not None: user_ids_to_delete.add(data.user_id) if existing_user_rows is not None and isinstance(existing_user_rows, list): @@ -3123,9 +3207,7 @@ async def team_member_delete( user_ids_to_delete.add(existing_user.user_id) for _uid in user_ids_to_delete: - await TeamMembershipRepository(prisma_client).table.delete_many( - where={"team_id": data.team_id, "user_id": _uid} - ) + await _team_membership_db(prisma_client).delete_many(where={"team_id": data.team_id, "user_id": _uid}) ## DELETE KEYS CREATED BY USER FOR THIS TEAM if user_ids_to_delete: @@ -3134,9 +3216,7 @@ async def team_member_delete( ) # Fetch keys before deletion to persist them - keys_to_delete: Final[list[LiteLLM_VerificationToken]] = await VerificationTokenRepository( - prisma_client - ).table.find_many( + keys_to_delete: Final[list[LiteLLM_VerificationToken]] = await _tokens_db(prisma_client).find_many( where={ "user_id": {"in": list(user_ids_to_delete)}, "team_id": data.team_id, @@ -3151,7 +3231,7 @@ async def team_member_delete( litellm_changed_by=None, ) - await VerificationTokenRepository(prisma_client).table.delete_many( + await _tokens_db(prisma_client).delete_many( where={ "user_id": {"in": list(user_ids_to_delete)}, "team_id": data.team_id, @@ -3311,7 +3391,7 @@ async def team_member_update( ### upsert new budget budget_patch: Final = _build_member_budget_patch(data) - async with prisma_client.db.tx() as tx: + async with prisma_client.tx() as tx: await _upsert_budget_and_membership( tx=tx, team_id=data.team_id, @@ -3654,7 +3734,7 @@ async def delete_team( _persist_deleted_verification_tokens, ) - keys_to_delete: list[LiteLLM_VerificationToken] = await VerificationTokenRepository(prisma_client).table.find_many( + keys_to_delete: list[LiteLLM_VerificationToken] = await _tokens_db(prisma_client).find_many( where={"team_id": {"in": data.team_ids}} ) @@ -4469,7 +4549,7 @@ async def _get_keys_count_by_team( if not page_team_ids: return {} - grouped: Final = await VerificationTokenRepository(prisma_client).table.group_by( + grouped: Final = await _tokens_db(prisma_client).group_by( by=["team_id"], where={"team_id": {"in": page_team_ids}}, count={"team_id": True}, @@ -4786,7 +4866,7 @@ async def _authorize_and_filter_teams( if allowed_org_ids is not None: # Org admin: query DB for teams in their orgs - org_teams: Final = await TeamRepository(prisma_client).table.find_many( + org_teams: Final = await _raw_team_db(TeamRepository(prisma_client)).find_many( where={"organization_id": {"in": allowed_org_ids}}, include={"litellm_model_table": True}, ) @@ -4800,7 +4880,9 @@ async def _authorize_and_filter_teams( ] elif user_id: # Regular user: fetch all and filter by membership (Prisma can't filter JSON arrays) - response: Final = await TeamRepository(prisma_client).table.find_many(include={"litellm_model_table": True}) + response: Final = await _raw_team_db(TeamRepository(prisma_client)).find_many( + include={"litellm_model_table": True} + ) return [ team for team in response @@ -4808,7 +4890,7 @@ async def _authorize_and_filter_teams( ] else: # Proxy admin: all teams - return list(await TeamRepository(prisma_client).table.find_many(include={"litellm_model_table": True})) + return list(await _raw_team_db(TeamRepository(prisma_client)).find_many(include={"litellm_model_table": True})) @router.get("/team/list", tags=["team management"], dependencies=[Depends(user_api_key_auth)]) @@ -4860,7 +4942,7 @@ async def list_team( _team_memberships.append(tm) # add all keys that belong to the team - keys = await VerificationTokenRepository(prisma_client).table.find_many(where={"team_id": team.team_id}) + keys = await _tokens_db(prisma_client).find_many(where={"team_id": team.team_id}) try: returned_responses.append( @@ -4911,7 +4993,7 @@ async def get_paginated_teams( total_count: Final = await _team_db(prisma_client).count() # Get paginated teams - teams: Final = await TeamRepository(prisma_client).table.find_many( + teams: Final = await _team_db(prisma_client).find_many( skip=skip, take=page_size, order={"team_alias": "asc"}, # Sort by team_alias @@ -4961,7 +5043,7 @@ async def ui_view_teams( skip: Final = (page - 1) * page_size # Build where conditions based on provided parameters - where_conditions: Final = {} + where_conditions: Final[_TeamUiViewFilters] = {} if team_id: where_conditions["team_id"] = { @@ -4976,7 +5058,7 @@ async def ui_view_teams( } # Query users with pagination and filters - teams: Final = await TeamRepository(prisma_client).table.find_many( + teams: Final = await _team_db(prisma_client).find_many( where=where_conditions, skip=skip, take=page_size, @@ -5166,13 +5248,13 @@ async def team_model_delete( ) # Get current models list - current_models: Final = team_obj.models or [] + current_models: Final[Sequence[str]] = team_obj.models or [] # Remove specified models updated_models: Final = [m for m in current_models if m not in data.models] # Update team. See team_model_add for the rationale on `include`. - updated_team: Final = await TeamRepository(prisma_client).table.update( + updated_team: Final = await _team_db(prisma_client).update( where={"team_id": data.team_id}, data={"models": updated_models}, include={"object_permission": True}, @@ -5425,7 +5507,7 @@ async def _append_permissions_to_all_teams(prisma_client: PrismaClient, permissi BATCH_SIZE: Final = 500 while True: - find_args: dict = { + find_args: _TeamFindManyArgs = { "take": BATCH_SIZE, "order": {"team_id": "asc"}, } @@ -5433,7 +5515,7 @@ async def _append_permissions_to_all_teams(prisma_client: PrismaClient, permissi find_args["cursor"] = {"team_id": cursor} find_args["skip"] = 1 - teams = await TeamRepository(prisma_client).table.find_many(**find_args) + teams = await _team_db(prisma_client).find_many(**find_args) if not teams: break @@ -5528,11 +5610,11 @@ async def get_team_daily_activity( ) ## Fetch team aliases and check team admin status - where_condition: Final = {} + where_condition: Final[_TeamIdInFilter] = {} if team_ids_list: where_condition["team_id"] = {"in": list(team_ids_list)} - team_aliases: Final = await TeamRepository(prisma_client).table.find_many(where=where_condition) - team_alias_metadata: Final = {t.team_id: {"team_alias": t.team_alias} for t in team_aliases} + team_aliases: Final = await _team_db(prisma_client).find_many(where=where_condition) + team_alias_metadata: Final = {t.team_id: {"team_alias": _as_object(t.team_alias)} for t in team_aliases} # Check if user is team admin or has /team/daily/activity permission # If not, filter by user's API keys. diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py index 44abc56713f..a2c50590dd5 100644 --- a/litellm/proxy/management_endpoints/ui_sso.py +++ b/litellm/proxy/management_endpoints/ui_sso.py @@ -16,9 +16,22 @@ import json import os import re import secrets +from collections.abc import Mapping, Sequence from copy import deepcopy from html import escape -from typing import TYPE_CHECKING, Any, Final, Literal, NoReturn, Optional, Union, cast +from typing import ( + TYPE_CHECKING, + Any, + Final, + Literal, + NoReturn, + Optional, + Protocol, + TypeVar, + Union, + cast, + overload, +) from urllib.parse import parse_qs, urlencode, urlparse if TYPE_CHECKING: @@ -155,6 +168,102 @@ _CLI_SSO_SECRET_KEY_FRAGMENTS: Final = frozenset( } ) +_DbRecordT: Final = TypeVar("_DbRecordT", covariant=True) + + +class _PrismaTableActions(Protocol[_DbRecordT]): + async def find_unique( + self, + where: Mapping[str, object], + ) -> _DbRecordT | None: ... + + async def find_first( + self, + where: Mapping[str, object] | None = None, + ) -> _DbRecordT | None: ... + + async def find_many( + self, + where: Mapping[str, object] | None = None, + ) -> Sequence[_DbRecordT]: ... + + async def update( + self, + where: Mapping[str, object], + data: Mapping[str, object], + ) -> _DbRecordT: ... + + async def update_many( + self, + where: Mapping[str, object], + data: Mapping[str, object], + ) -> int: ... + + +class _UserMetadataRow(Protocol): + @property + def metadata(self) -> Mapping[str, object] | None: ... + + +class _HasUserMetadataTable(Protocol): + @property + def table(self) -> "_PrismaTableActions[_UserMetadataRow]": ... + + +def _user_meta_db(repo: "_HasUserMetadataTable") -> "_PrismaTableActions[_UserMetadataRow]": + return repo.table + + +class _SsoConfigRow(Protocol): + @property + def sso_settings(self) -> Mapping[str, object] | None: ... + + +class _HasSsoConfigTable(Protocol): + @property + def table(self) -> "_PrismaTableActions[_SsoConfigRow]": ... + + +def _sso_config_db(repo: "_HasSsoConfigTable") -> "_PrismaTableActions[_SsoConfigRow]": + return repo.table + + +class _TeamDetailRow(Protocol): + def model_dump(self) -> Mapping[str, object]: ... + + +class _HasTeamDetailTable(Protocol): + @property + def table(self) -> "_PrismaTableActions[_TeamDetailRow]": ... + + +def _team_detail_db(repo: "_HasTeamDetailTable") -> "_PrismaTableActions[_TeamDetailRow]": + return repo.table + + +class _CustomSsoCall(Protocol): + async def __call__(self, sso_response: object) -> SSOUserDefinedValues | None: ... + + +class _ServicePrincipalAssignment(Protocol): + def get(self, key: str) -> str: ... + + +class _ServicePrincipalPage(Protocol): + @overload + def get( + self, + key: Literal["value"], + default: Sequence["_ServicePrincipalAssignment"], + ) -> Sequence["_ServicePrincipalAssignment"]: ... + + @overload + def get(self, key: Literal["@odata.nextLink"]) -> str | None: ... + + +def _as_object(value: object) -> object: + return value + def _hash_cli_sso_secret(secret: str) -> str: return hashlib.sha256(secret.encode("utf-8")).hexdigest() @@ -256,7 +365,7 @@ def _get_cli_sso_flow_or_raise(login_id: str | None, cache: DualCache) -> dict: flow = cache.get_cache(key=cache_key) if isinstance(flow, str): try: - flow = json.loads(flow) + flow = _as_object(json.loads(flow)) except ValueError: flow = None if not isinstance(flow, dict) or "poll_secret_hash" not in flow: @@ -421,7 +530,7 @@ def _flatten_cli_sso_metadata_for_poll( def build_cli_sso_attribution_metadata( result: CustomOpenID | OpenID | dict, -) -> dict[str, Any]: +) -> dict[str, object]: """ Build allowlisted, non-secret scalar attribution metadata from an SSO result. @@ -432,7 +541,7 @@ def build_cli_sso_attribution_metadata( if not claim_map: return {} - metadata: Final[dict[str, Any]] = {} + metadata: Final[dict[str, object]] = {} for source_claim, dest_key in claim_map: if not _is_safe_cli_sso_metadata_dest_key(dest_key): verbose_proxy_logger.debug("Skipping unsafe CLI SSO metadata destination key: %s", dest_key) @@ -474,14 +583,14 @@ def _merge_cli_sso_attribution_metadata( async def _persist_cli_sso_user_metadata( prisma_client: PrismaClient, user_id: str, - attribution_metadata: dict[str, Any], + attribution_metadata: dict[str, object], ) -> None: if not attribution_metadata: return try: - user_row: Final = await UserRepository(prisma_client).table.find_unique(where={"user_id": user_id}) - existing_metadata: dict[str, Any] = {} + user_row: Final = await _user_meta_db(UserRepository(prisma_client)).find_unique(where={"user_id": user_id}) + existing_metadata: dict[str, object] = {} if user_row is not None: row_metadata: Final = user_row.metadata if isinstance(row_metadata, dict): @@ -491,7 +600,7 @@ async def _persist_cli_sso_user_metadata( existing_metadata=existing_metadata, attribution_metadata=attribution_metadata, ) - await UserRepository(prisma_client).table.update_many( + await _user_meta_db(UserRepository(prisma_client)).update_many( where={"user_id": user_id}, data={"metadata": merged_metadata}, ) @@ -1104,7 +1213,7 @@ def generic_response_convertor( ) # Build extra_fields dict from GENERIC_USER_EXTRA_ATTRIBUTES if specified - extra_fields: dict[str, Any] | None = None + extra_fields: dict[str, object] | None = None if generic_user_extra_attributes: extra_fields = {} for attr_name in generic_user_extra_attributes.split(","): @@ -1193,7 +1302,9 @@ async def _setup_team_mappings() -> Optional["TeamMappings"]: prisma_client: Final = get_prisma_client_or_throw("Prisma client is None, connect a database to your proxy") - sso_db_record: Final = await SSOConfigRepository(prisma_client).table.find_unique(where={"id": "sso_config"}) + sso_db_record: Final = await _sso_config_db(SSOConfigRepository(prisma_client)).find_unique( + where={"id": "sso_config"} + ) if sso_db_record and sso_db_record.sso_settings: sso_settings_dict: Final = dict(sso_db_record.sso_settings) @@ -1225,7 +1336,9 @@ async def _setup_role_mappings() -> Optional["RoleMappings"]: prisma_client: Final = get_prisma_client_or_throw("Prisma client is None, connect a database to your proxy") - sso_db_record: Final = await SSOConfigRepository(prisma_client).table.find_unique(where={"id": "sso_config"}) + sso_db_record: Final = await _sso_config_db(SSOConfigRepository(prisma_client)).find_unique( + where={"id": "sso_config"} + ) if sso_db_record and sso_db_record.sso_settings: sso_settings_dict: Final = dict(sso_db_record.sso_settings) @@ -1273,7 +1386,7 @@ async def _setup_role_mappings() -> Optional["RoleMappings"]: return role_mappings -def _parse_generic_sso_headers() -> dict: +def _parse_generic_sso_headers() -> dict[str, str]: """Parse comma-separated GENERIC_SSO_HEADERS env var into a dict.""" raw: Final = os.getenv("GENERIC_SSO_HEADERS", None) if raw is None: @@ -1677,7 +1790,7 @@ def _build_sso_user_update_data( result: Union["CustomOpenID", OpenID, dict] | None, user_email: str | None, user_id: str | None, -) -> dict: +) -> dict[str, object]: """ Build the update data dictionary for SSO user upsert. @@ -1689,7 +1802,7 @@ def _build_sso_user_update_data( Returns: dict: Update data containing user_email and optionally user_role if valid """ - update_data: Final[dict] = {"user_email": normalize_email(user_email)} + update_data: Final[dict[str, object]] = {"user_email": normalize_email(user_email)} # Get SSO role from result and include if valid sso_role: Final = getattr(result, "user_role", None) @@ -1740,7 +1853,7 @@ async def _sync_user_role_from_jwt_role_map( # Update existing DB record if role differs if user_info is not None and user_info.user_role != mapped_role.value: - await UserRepository(prisma_client).table.update( + await _user_meta_db(UserRepository(prisma_client)).update( where={"user_id": user_info.user_id}, data={"user_role": mapped_role.value}, ) @@ -1796,7 +1909,7 @@ async def check_and_update_if_proxy_admin_id(user_role: str, user_id: str, prism return user_role if prisma_client: - await UserRepository(prisma_client).table.update( + await _user_meta_db(UserRepository(prisma_client)).update( where={"user_id": user_id}, data={"user_role": LitellmUserRoles.PROXY_ADMIN.value}, ) @@ -2016,10 +2129,11 @@ async def _build_cli_sso_user_defined_values( ) -> SSOUserDefinedValues | None: from litellm.proxy.proxy_server import user_custom_sso + custom_sso_handler: Final[_CustomSsoCall | None] = user_custom_sso user_id: Final = parsed_openid_result.get("user_id") - if user_custom_sso is not None: - if inspect.iscoroutinefunction(user_custom_sso): - return await user_custom_sso(result) + if custom_sso_handler is not None: + if inspect.iscoroutinefunction(custom_sso_handler): + return await custom_sso_handler(result) raise ValueError("user_custom_sso must be a coroutine function") if user_id is None: return None @@ -2035,12 +2149,14 @@ async def _build_cli_sso_user_defined_values( async def _fetch_cli_sso_team_details( prisma_client: PrismaClient, - teams: list[str], -) -> list[dict[str, Any]]: - team_details: Final[list[dict[str, Any]]] = [] + teams: Sequence[str], +) -> list[dict[str, object]]: + team_details: Final[list[dict[str, object]]] = [] try: if teams: - prisma_teams: Final = await TeamRepository(prisma_client).table.find_many(where={"team_id": {"in": teams}}) + prisma_teams: Final = await _team_detail_db(TeamRepository(prisma_client)).find_many( + where={"team_id": {"in": teams}} + ) for team_row in prisma_teams: team_dict = team_row.model_dump() team_details.append( @@ -2257,12 +2373,12 @@ async def cli_poll_key( verbose_proxy_logger.info("Returning teams list for user %s to select from: %s", user_id, user_teams) # Best-effort construction of team_details if it wasn't # already cached for some reason. - team_details_response: list[dict[str, Any]] | None = None + team_details_response: list[dict[str, object]] | None = None if isinstance(user_team_details, list) and user_team_details: team_details_response = user_team_details elif user_teams: team_details_response = [{"team_id": t, "team_alias": None} for t in user_teams] - poll_response: dict[str, Any] = { + poll_response: dict[str, object] = { "status": "ready", "user_id": user_id, "teams": user_teams, @@ -2997,7 +3113,9 @@ class SSOAuthenticationHandler: user_id=user_id, ) - await UserRepository(prisma_client).table.update_many(where={"user_id": user_id}, data=update_data) + await _user_meta_db(UserRepository(prisma_client)).update_many( + where={"user_id": user_id}, data=update_data + ) else: verbose_proxy_logger.info("user not in DB, inserting user into LiteLLM DB") # user not in DB, insert User into LiteLLM DB @@ -3089,7 +3207,9 @@ class SSOAuthenticationHandler: code=status.HTTP_500_INTERNAL_SERVER_ERROR, ) try: - team_obj: Final = await TeamRepository(prisma_client).table.find_first(where={"team_id": litellm_team_id}) + team_obj: Final = await _team_detail_db(TeamRepository(prisma_client)).find_first( + where={"team_id": litellm_team_id} + ) verbose_proxy_logger.debug("Team object: %s", team_obj) # only create a new team if it doesn't exist @@ -3278,9 +3398,10 @@ class SSOAuthenticationHandler: # But if it is, we want their models preferences user_defined_values: SSOUserDefinedValues | None = None - if user_custom_sso is not None: - if inspect.iscoroutinefunction(user_custom_sso): - user_defined_values = await user_custom_sso(result) + custom_sso_handler: Final[_CustomSsoCall | None] = user_custom_sso + if custom_sso_handler is not None: + if inspect.iscoroutinefunction(custom_sso_handler): + user_defined_values = await custom_sso_handler(result) else: raise ValueError("user_custom_sso must be a coroutine function") elif user_id is not None: @@ -3448,7 +3569,7 @@ class SSOAuthenticationHandler: dict: Token exchange parameters """ # Prepare token exchange parameters (may add code_verifier: str later) - token_params: Final[dict[str, Any]] = {"include_client_id": generic_include_client_id} + token_params: Final[dict[str, object]] = {"include_client_id": generic_include_client_id} # Retrieve PKCE code_verifier if PKCE was used in authorization. # Gate on GENERIC_CLIENT_USE_PKCE to avoid an unnecessary Redis round-trip @@ -3663,7 +3784,7 @@ class SSOAuthenticationHandler: access_token string. Raises ProxyException on any validation failure. """ try: - token_response_raw: Final = response.json() + token_response_raw: Final[object] = _as_object(response.json()) except Exception as json_err: verbose_proxy_logger.error( "Failed to parse token response as JSON: %s. Body: %s", @@ -4253,7 +4374,7 @@ class MicrosoftSSOHandler: while next_link is not None and page_count < MicrosoftSSOHandler.MAX_GRAPH_API_PAGES: response = await async_client.get(next_link, headers=headers) - response_json = response.json() + response_json: _ServicePrincipalPage = response.json() verbose_proxy_logger.debug("Response from service principal app role assigned to: %s", response_json) for _object in response_json.get("value", []): diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py index 382df608a0c..08bb8698cac 100644 --- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py +++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py @@ -4,11 +4,11 @@ import json import os from collections import Counter from collections.abc import Mapping -from typing import Any, Final +from typing import Any, Final, Protocol, TypeVar from urllib.parse import urlparse from fastapi import APIRouter, Body, Depends, File, HTTPException, UploadFile -from pydantic import ConfigDict, ValidationError, create_model +from pydantic import ConfigDict, JsonValue, ValidationError, create_model from pydantic.fields import FieldInfo import litellm @@ -36,6 +36,73 @@ from litellm.types.proxy.management_endpoints.ui_sso import ( router: Final = APIRouter() +_DbRecordT: Final = TypeVar("_DbRecordT", covariant=True) + + +class _PrismaTableActions(Protocol[_DbRecordT]): + async def find_unique(self, where: Mapping[str, object]) -> _DbRecordT | None: ... + + async def update(self, where: Mapping[str, object], data: Mapping[str, object]) -> _DbRecordT: ... + + async def upsert(self, where: Mapping[str, object], data: Mapping[str, object]) -> _DbRecordT: ... + + +class _SsoSettingsMappingRow(Protocol): + @property + def sso_settings(self) -> Mapping[str, object] | None: ... + + +class _HasSsoSettingsMappingTable(Protocol): + @property + def table(self) -> _PrismaTableActions[_SsoSettingsMappingRow]: ... + + +def _sso_settings_mapping_db(repo: _HasSsoSettingsMappingTable) -> _PrismaTableActions[_SsoSettingsMappingRow]: + return repo.table + + +class _StoredSsoSettingsRow(Protocol): + @property + def sso_settings(self) -> object: ... + + +class _HasStoredSsoSettingsTable(Protocol): + @property + def table(self) -> _PrismaTableActions[_StoredSsoSettingsRow]: ... + + +def _stored_sso_settings_db(repo: _HasStoredSsoSettingsTable) -> _PrismaTableActions[_StoredSsoSettingsRow]: + return repo.table + + +class _UiSettingsRow(Protocol): + @property + def ui_settings(self) -> str | Mapping[str, JsonValue] | None: ... + + +class _HasUiSettingsTable(Protocol): + @property + def table(self) -> _PrismaTableActions[_UiSettingsRow]: ... + + +def _ui_settings_db(repo: _HasUiSettingsTable) -> _PrismaTableActions[_UiSettingsRow]: + return repo.table + + +class _ConfigParamRow(Protocol): + @property + def param_value(self) -> str | Mapping[str, object] | None: ... + + +class _HasConfigParamTable(Protocol): + @property + def table(self) -> _PrismaTableActions[_ConfigParamRow]: ... + + +def _config_param_db(repo: _HasConfigParamTable) -> _PrismaTableActions[_ConfigParamRow]: + return repo.table + + # Maps each UIThemeConfig field to the env var the UI branding path reads it # from. /update/ui_theme_settings writes both the stored ui_theme_config and # these env vars, so /get/ui_theme_settings resolves the same env vars to @@ -54,7 +121,7 @@ def _is_public_http_url(value: str | None) -> bool: return parsed.scheme in ("http", "https") and bool(parsed.netloc) -def _resolve_ui_theme_field(stored_values: Mapping[str, Any], field_name: str) -> str | None: +def _resolve_ui_theme_field(stored_values: Mapping[str, object], field_name: str) -> str | None: """Resolve one UI theme field to the value the branding path actually uses. The stored ui_theme_config wins; a field absent or blank there falls back to @@ -263,7 +330,7 @@ _RUNTIME_GENERAL_SETTINGS_FLAGS: Final = [ # include generics like ``Optional[int]`` / ``List[str]`` that are not # instances of ``type`` — so tightening this to ``type`` would reject # valid inputs. -_EXTRA_UI_SETTINGS_FIELDS: Final[dict[str, tuple[Any, FieldInfo]]] = {} +_EXTRA_UI_SETTINGS_FIELDS: Final[dict[str, tuple[object, FieldInfo]]] = {} # Settings OSS knows about as enterprise-gated. If a caller sends one of # these keys and no extension package has registered it, the PATCH @@ -275,7 +342,7 @@ _ENTERPRISE_ONLY_UI_SETTINGS: Final[set[str]] = {"enable_projects_ui"} _EFFECTIVE_UI_SETTINGS_CLASS: type[UISettings] | None = None -def register_extra_ui_setting(name: str, annotation: Any, field: FieldInfo) -> None: +def register_extra_ui_setting(name: str, annotation: object, field: FieldInfo) -> None: """Register an additional UI settings field contributed by an extension package. ``field`` must be a ``FieldInfo`` instance — construct it directly @@ -470,7 +537,7 @@ async def delete_allowed_ip( async def _get_settings_with_schema( settings_key: str, - settings_class: Any, + settings_class: type[BaseModel], config: dict, ) -> dict: """ @@ -842,7 +909,9 @@ async def get_sso_settings(): # Resolve the effective SSO config: the stored row wins, else the process # environment, else each field's default. Unlike the legacy read path this # does not write os.environ; a GET has no business mutating the environment. - sso_db_record: Final = await SSOConfigRepository(prisma_client).table.find_unique(where={"id": "sso_config"}) + sso_db_record: Final = await _sso_settings_mapping_db(SSOConfigRepository(prisma_client)).find_unique( + where={"id": "sso_config"} + ) sso_db_settings: Final = dict(sso_db_record.sso_settings) if sso_db_record and sso_db_record.sso_settings else None resolved: Final = resolve_sso_config(sso_db_settings, os.environ) @@ -914,8 +983,10 @@ async def update_sso_settings( # before-snapshot has the same shape as after_value, and rely on # create_config_audit_log's secret-name redaction to mask the # *_client_secret fields before the audit row is written. - existing_sso_record: Final = await SSOConfigRepository(prisma_client).table.find_unique(where={"id": "sso_config"}) - before_sso_data: dict[str, Any] | None = None + existing_sso_record: Final = await _stored_sso_settings_db(SSOConfigRepository(prisma_client)).find_unique( + where={"id": "sso_config"} + ) + before_sso_data: dict[str, JsonValue] | None = None if existing_sso_record and existing_sso_record.sso_settings: stored = existing_sso_record.sso_settings if isinstance(stored, str): @@ -948,7 +1019,7 @@ async def update_sso_settings( encrypted_sso_data: Final = proxy_config._encrypt_env_variables(environment_variables=sso_data) # Save to dedicated SSO table - await SSOConfigRepository(prisma_client).table.upsert( + await _stored_sso_settings_db(SSOConfigRepository(prisma_client)).upsert( where={"id": "sso_config"}, data={ "create": { @@ -974,7 +1045,7 @@ async def update_sso_settings( # Remove SSO-related env vars from config.environment_variables try: - env_var_entry: Final = await ConfigRepository(prisma_client).table.find_unique( + env_var_entry: Final = await _config_param_db(ConfigRepository(prisma_client)).find_unique( where={"param_name": "environment_variables"} ) @@ -982,7 +1053,7 @@ async def update_sso_settings( if env_var_entry is not None: if env_var_entry.param_value is not None: if isinstance(env_var_entry.param_value, str): - environment_variables = json.loads(env_var_entry.param_value) + environment_variables: Mapping[str, object] = json.loads(env_var_entry.param_value) else: environment_variables = dict(env_var_entry.param_value) else: @@ -993,7 +1064,7 @@ async def update_sso_settings( key: value for key, value in environment_variables.items() if key not in env_vars_to_remove } - await ConfigRepository(prisma_client).table.update( + await _config_param_db(ConfigRepository(prisma_client)).update( where={"param_name": "environment_variables"}, data={ "param_value": json.dumps(filtered_env_vars, default=str), @@ -1239,8 +1310,10 @@ async def get_ui_settings_cached() -> dict[str, Any]: if prisma_client is None: return {} - db_record: Final = await UISettingsRepository(prisma_client).table.find_unique(where={"id": "ui_settings"}) - ui_settings: dict[str, Any] = {} + db_record: Final = await _ui_settings_db(UISettingsRepository(prisma_client)).find_unique( + where={"id": "ui_settings"} + ) + ui_settings: dict[str, JsonValue] = {} if db_record and db_record.ui_settings: raw: Final = db_record.ui_settings ui_settings = json.loads(raw) if isinstance(raw, str) else dict(raw) @@ -1272,9 +1345,11 @@ async def get_ui_settings(): detail={"error": "Database not connected. Please connect a database."}, ) - ui_settings: dict[str, Any] = {} + ui_settings: Mapping[str, JsonValue] = {} - db_record: Final = await UISettingsRepository(prisma_client).table.find_unique(where={"id": "ui_settings"}) + db_record: Final = await _ui_settings_db(UISettingsRepository(prisma_client)).find_unique( + where={"id": "ui_settings"} + ) if db_record and db_record.ui_settings: ui_settings_json: Final = db_record.ui_settings @@ -1300,7 +1375,7 @@ async def get_ui_settings(): await user_api_key_cache.async_set_cache(key=UI_SETTINGS_CACHE_KEY, value=ui_settings, ttl=UI_SETTINGS_CACHE_TTL) # Build config-like object for schema helper - config: Final[dict[str, Any]] = {"litellm_settings": {"ui_settings": ui_settings}} + config: Final[dict[str, object]] = {"litellm_settings": {"ui_settings": ui_settings}} return await _get_settings_with_schema( settings_key="ui_settings", @@ -1315,7 +1390,7 @@ async def get_ui_settings(): dependencies=[Depends(user_api_key_auth)], ) async def update_ui_settings( - settings_body: dict[str, Any] = Body(...), + settings_body: dict[str, object] = Body(...), user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): """ @@ -1352,7 +1427,7 @@ async def update_ui_settings( raise HTTPException(status_code=422, detail=e.errors()) # Only include fields the caller actually sent (not Pydantic defaults). - settings_dict: Final = settings.model_dump(exclude_unset=True) + settings_dict: Final[Mapping[str, JsonValue]] = settings.model_dump(exclude_unset=True) # Reject enterprise-only settings up front so the caller gets a clear # signal instead of a silent drop. @@ -1373,15 +1448,17 @@ async def update_ui_settings( # Merge with existing persisted settings so a partial PATCH doesn't # overwrite fields the caller didn't send. - existing: dict = {} - db_existing: Final = await UISettingsRepository(prisma_client).table.find_unique(where={"id": "ui_settings"}) + existing: dict[str, JsonValue] = {} + db_existing: Final = await _ui_settings_db(UISettingsRepository(prisma_client)).find_unique( + where={"id": "ui_settings"} + ) if db_existing and db_existing.ui_settings: raw: Final = db_existing.ui_settings existing = json.loads(raw) if isinstance(raw, str) else dict(raw) ui_settings: Final = {**existing, **incoming} - await UISettingsRepository(prisma_client).table.upsert( + await _ui_settings_db(UISettingsRepository(prisma_client)).upsert( where={"id": "ui_settings"}, data={ "create": { diff --git a/litellm/proxy/vector_store_endpoints/management_endpoints.py b/litellm/proxy/vector_store_endpoints/management_endpoints.py index 6b40281198c..2b037bef795 100644 --- a/litellm/proxy/vector_store_endpoints/management_endpoints.py +++ b/litellm/proxy/vector_store_endpoints/management_endpoints.py @@ -10,10 +10,17 @@ All /vector_store management endpoints import copy import json -from typing import Any, Final +from collections.abc import Mapping +from typing import TYPE_CHECKING, Any, Final, Protocol from fastapi import APIRouter, Depends, HTTPException +if TYPE_CHECKING: + from prisma.models import LiteLLM_ManagedVectorStoresTable as _VectorStoreRow + + from litellm.proxy.utils import PrismaClient + from litellm.router import Router + import litellm from litellm._logging import verbose_proxy_logger from litellm.caching.in_memory_cache import InMemoryCache @@ -43,6 +50,25 @@ from litellm.vector_stores.vector_store_registry import VectorStoreRegistry router: Final = APIRouter() + +class _VectorStoreTableActions(Protocol): + async def find_unique(self, where: Mapping[str, str]) -> "_VectorStoreRow | None": ... + + async def create(self, data: Mapping[str, object]) -> "_VectorStoreRow": ... + + async def update(self, where: Mapping[str, str], data: Mapping[str, object]) -> "_VectorStoreRow": ... + + async def delete(self, where: Mapping[str, str]) -> "_VectorStoreRow | None": ... + + +def _vector_store_table(prisma_client: "PrismaClient") -> _VectorStoreTableActions: + return ManagedVectorStoresRepository(prisma_client).table + + +def _row_to_vector_store(row: "_VectorStoreRow") -> LiteLLM_ManagedVectorStore: + return LiteLLM_ManagedVectorStore(**row.model_dump()) + + _LITELLM_PARAMS_MASKER: Final = SensitiveDataMasker() @@ -117,22 +143,20 @@ def _redact_sensitive_litellm_params(litellm_params: Any, _depth: int = 0) -> An async def _fetch_and_authorize_vector_store( vector_store_id: str, user_api_key_dict: UserAPIKeyAuth, - prisma_client: Any, + prisma_client: "PrismaClient", ) -> "LiteLLM_ManagedVectorStore": """ Look up a vector store by id and confirm the caller can access it. Raises HTTPException(404) on miss and HTTPException(403) on access denial. """ - row: Final = await ManagedVectorStoresRepository(prisma_client).table.find_unique( - where={"vector_store_id": vector_store_id} - ) + row: Final = await _vector_store_table(prisma_client).find_unique(where={"vector_store_id": vector_store_id}) if row is None: raise HTTPException( status_code=404, detail=f"Vector store with ID {vector_store_id} not found", ) - typed: Final = LiteLLM_ManagedVectorStore(**row.model_dump()) + typed: Final = _row_to_vector_store(row) if not await _check_vector_store_access(typed, user_api_key_dict): raise HTTPException( status_code=403, @@ -141,7 +165,7 @@ async def _fetch_and_authorize_vector_store( return typed -def _resolve_embedding_config_from_router(embedding_model: str, llm_router) -> dict[str, Any] | None: +def _resolve_embedding_config_from_router(embedding_model: str, llm_router) -> dict[str, object] | None: """ Resolve embedding config from router's config-defined models. @@ -177,7 +201,7 @@ def _resolve_embedding_config_from_router(embedding_model: str, llm_router) -> d litellm_params = deployment.litellm_params # Build embedding config from model params - embedding_config: dict[str, Any] = {} + embedding_config: dict[str, object] = {} # Extract api_key api_key = getattr(litellm_params, "api_key", None) @@ -217,7 +241,9 @@ def _resolve_embedding_config_from_router(embedding_model: str, llm_router) -> d return None -async def _resolve_embedding_config_from_db(embedding_model: str, prisma_client) -> dict[str, Any] | None: +async def _resolve_embedding_config_from_db( + embedding_model: str, prisma_client: "PrismaClient" +) -> dict[str, object] | None: """ Resolve embedding config from database model configuration. @@ -307,7 +333,9 @@ async def _resolve_embedding_config_from_db(embedding_model: str, prisma_client) return None -async def _resolve_embedding_config(embedding_model: str, prisma_client, llm_router=None) -> dict[str, Any] | None: +async def _resolve_embedding_config( + embedding_model: str, prisma_client: "PrismaClient | None", llm_router: "Router | None" = None +) -> dict[str, object] | None: """ Resolve embedding config from either router (config-defined) or database models. @@ -388,7 +416,7 @@ async def _check_vector_store_access( async def create_vector_store_in_db( vector_store_id: str, custom_llm_provider: str, - prisma_client, + prisma_client: "PrismaClient | None", vector_store_name: str | None = None, vector_store_description: str | None = None, vector_store_metadata: dict | None = None, @@ -417,7 +445,7 @@ async def create_vector_store_in_db( raise HTTPException(status_code=500, detail="Database not connected") # Check if vector store already exists - existing_vector_store: Final = await ManagedVectorStoresRepository(prisma_client).table.find_unique( + existing_vector_store: Final = await _vector_store_table(prisma_client).find_unique( where={"vector_store_id": vector_store_id} ) if existing_vector_store is not None: @@ -427,7 +455,7 @@ async def create_vector_store_in_db( ) # Prepare data for database - data_to_create: Final[dict[str, Any]] = { + data_to_create: Final[dict[str, object]] = { "vector_store_id": vector_store_id, "custom_llm_provider": custom_llm_provider, } @@ -463,9 +491,9 @@ async def create_vector_store_in_db( data_to_create["litellm_params"] = safe_dumps({}) # Create in database - _new_vector_store: Final = await ManagedVectorStoresRepository(prisma_client).table.create(data=data_to_create) + _new_vector_store: Final = await _vector_store_table(prisma_client).create(data=data_to_create) - new_vector_store: Final[LiteLLM_ManagedVectorStore] = LiteLLM_ManagedVectorStore(**_new_vector_store.model_dump()) + new_vector_store: Final[LiteLLM_ManagedVectorStore] = _row_to_vector_store(_new_vector_store) # Add vector store to registry if litellm.vector_store_registry is not None: @@ -682,12 +710,12 @@ async def delete_vector_store( memory_vector_store_exists = False vector_store_to_check = None - existing_vector_store: Final = await ManagedVectorStoresRepository(prisma_client).table.find_unique( + existing_vector_store: Final = await _vector_store_table(prisma_client).find_unique( where={"vector_store_id": data.vector_store_id} ) if existing_vector_store is not None: db_vector_store_exists = True - vector_store_to_check = LiteLLM_ManagedVectorStore(**existing_vector_store.model_dump()) + vector_store_to_check = _row_to_vector_store(existing_vector_store) # Check in-memory registry if litellm.vector_store_registry is not None: @@ -715,9 +743,7 @@ async def delete_vector_store( # Delete from database if exists if db_vector_store_exists: - await ManagedVectorStoresRepository(prisma_client).table.delete( - where={"vector_store_id": data.vector_store_id} - ) + await _vector_store_table(prisma_client).delete(where={"vector_store_id": data.vector_store_id}) # Delete from in-memory registry if exists if memory_vector_store_exists and litellm.vector_store_registry is not None: @@ -829,7 +855,7 @@ async def update_vector_store( try: update_data: Final = data.model_dump(exclude_unset=True) - vector_store_id: Final = update_data.pop("vector_store_id") + vector_store_id: Final[str] = update_data.pop("vector_store_id") # Per-store access control: anyone authenticated who passes the # premium-feature gate could otherwise update *any* vector store — @@ -857,12 +883,12 @@ async def update_vector_store( update_data["litellm_params"] = safe_dumps(litellm_params_dict) # Update in database - updated: Final = await ManagedVectorStoresRepository(prisma_client).table.update( + updated: Final = await _vector_store_table(prisma_client).update( where={"vector_store_id": vector_store_id}, data=update_data, ) - updated_vs: Final = LiteLLM_ManagedVectorStore(**updated.model_dump()) + updated_vs: Final = _row_to_vector_store(updated) # Immediately update in-memory registry to keep it in sync if litellm.vector_store_registry is not None: diff --git a/litellm/responses/litellm_completion_transformation/transformation.py b/litellm/responses/litellm_completion_transformation/transformation.py index f54023836e5..b2d065ea23b 100644 --- a/litellm/responses/litellm_completion_transformation/transformation.py +++ b/litellm/responses/litellm_completion_transformation/transformation.py @@ -4,8 +4,8 @@ Handles transforming from Responses API -> LiteLLM completion (Chat Completion import json import re -from collections.abc import Sequence -from typing import Any, Final, Literal, cast +from collections.abc import Iterator, Mapping, Sequence +from typing import TYPE_CHECKING, Any, Final, Literal, Protocol, cast, runtime_checkable from openai.types.chat.chat_completion_named_tool_choice_param import ( ChatCompletionNamedToolChoiceParam, @@ -16,6 +16,7 @@ from openai.types.chat.chat_completion_named_tool_choice_param import ( from openai.types.responses import ResponseFunctionToolCall from openai.types.responses.response_create_params import ResponseInputParam from openai.types.responses.tool_param import FunctionToolParam +from pydantic import TypeAdapter from typing_extensions import TypedDict from litellm._logging import verbose_logger @@ -78,9 +79,35 @@ from .custom_tools import ( unwrap_custom_tool_arguments, ) +if TYPE_CHECKING: + from openai.types.responses.response_apply_patch_tool_call import ( + ResponseApplyPatchToolCall, + ) + ########### Initialize Classes used for Responses API ########### TOOL_CALLS_CACHE: Final = InMemoryCache() +_ANY_KEY_DICT_ADAPTER: Final = TypeAdapter(dict[object, object]) +_STR_KEY_DICT_ADAPTER: Final = TypeAdapter(dict[str, object]) +_OBJECT_LIST_ADAPTER: Final = TypeAdapter(list[object]) +_DICT_ITEMS_LIST_ADAPTER: Final = TypeAdapter(list[dict[object, object]]) +_TEXT_ADAPTER: Final = TypeAdapter(str) + + +@runtime_checkable +class _SupportsIter(Protocol): + def __iter__(self) -> Iterator[object]: ... + + +@runtime_checkable +class _HasToolCalls(Protocol): + tool_calls: object + + +@runtime_checkable +class _HasId(Protocol): + id: object + class ChatCompletionSession(TypedDict, total=False): messages: list[ @@ -205,7 +232,7 @@ class LiteLLMCompletionResponsesConfig: responses_api_request: ResponsesAPIOptionalRequestParams, custom_llm_provider: str | None = None, stream: bool | None = None, - extra_headers: dict[str, Any] | None = None, + extra_headers: Mapping[str, object] | None = None, **kwargs, ) -> dict: """ @@ -462,7 +489,9 @@ class LiteLLMCompletionResponsesConfig: if not chat_completion_messages: continue - deduped_in_place: list[Any] = [] + deduped_in_place: list[ + AllMessageValues | GenericChatCompletionMessage | ChatCompletionResponseMessage + ] = [] for m in chat_completion_messages: role = "" if isinstance(m, dict): @@ -472,7 +501,7 @@ class LiteLLMCompletionResponsesConfig: # Drop assistant tool_calls wrappers if we already have this call_id if role == "assistant": - tool_calls: Any = ( + tool_calls: object = ( m.get("tool_calls") if isinstance(m, dict) else getattr(m, "tool_calls", None) ) call_id = "" @@ -534,7 +563,7 @@ class LiteLLMCompletionResponsesConfig: call_id = "" if role == "assistant": - tool_calls: Any = None + tool_calls: object = None if isinstance(tool_call_message, dict): tool_calls = tool_call_message.get("tool_calls") else: @@ -578,7 +607,16 @@ class LiteLLMCompletionResponsesConfig: return False @staticmethod - def _find_previous_assistant_idx(messages: list[Any], current_idx: int) -> int | None: + def _find_previous_assistant_idx( + messages: Sequence[ + AllMessageValues + | GenericChatCompletionMessage + | ChatCompletionResponseMessage + | ChatCompletionMessageToolCall + | Message + ], + current_idx: int, + ) -> int | None: """Find the index of the previous assistant message.""" for j in range(current_idx - 1, -1, -1): if messages[j].get("role") == "assistant": @@ -586,7 +624,18 @@ class LiteLLMCompletionResponsesConfig: return None @staticmethod - def _recover_tool_call_id_from_assistant(assistant_message: Any, message: Any) -> str: + def _recover_tool_call_id_from_assistant( + assistant_message: AllMessageValues + | GenericChatCompletionMessage + | ChatCompletionResponseMessage + | ChatCompletionMessageToolCall + | Message, + message: AllMessageValues + | GenericChatCompletionMessage + | ChatCompletionResponseMessage + | ChatCompletionMessageToolCall + | Message, + ) -> str: """Try to recover empty tool_call_id from assistant message's tool_calls.""" tool_calls_raw: Final = ( assistant_message.get("tool_calls") @@ -594,17 +643,23 @@ class LiteLLMCompletionResponsesConfig: else getattr(assistant_message, "tool_calls", None) ) if tool_calls_raw and isinstance(tool_calls_raw, list) and len(tool_calls_raw) > 0: - first_tool_call: Final = tool_calls_raw[0] + first_tool_call: Final = _OBJECT_LIST_ADAPTER.validate_python(tool_calls_raw)[0] if isinstance(first_tool_call, dict): - tool_call_id_raw = first_tool_call.get("id", "") + tool_call_id_raw = _ANY_KEY_DICT_ADAPTER.validate_python(first_tool_call).get("id", "") return str(tool_call_id_raw) if tool_call_id_raw is not None else "" - elif hasattr(first_tool_call, "id"): - tool_call_id_raw = getattr(first_tool_call, "id", None) + elif isinstance(first_tool_call, _HasId): + tool_call_id_raw = first_tool_call.id return str(tool_call_id_raw) if tool_call_id_raw is not None else "" return "" @staticmethod - def _get_tool_calls_list(assistant_message: Any) -> list[Any]: + def _get_tool_calls_list( + assistant_message: AllMessageValues + | GenericChatCompletionMessage + | ChatCompletionResponseMessage + | ChatCompletionMessageToolCall + | Message, + ) -> Sequence[object]: """Extract tool_calls as a list from assistant message.""" tool_calls_raw: Final = ( assistant_message.get("tool_calls") @@ -614,18 +669,18 @@ class LiteLLMCompletionResponsesConfig: if tool_calls_raw is None: return [] if isinstance(tool_calls_raw, list): - return tool_calls_raw - if hasattr(tool_calls_raw, "__iter__") and not isinstance(tool_calls_raw, (str, bytes)): + return _OBJECT_LIST_ADAPTER.validate_python(tool_calls_raw) + if isinstance(tool_calls_raw, _SupportsIter) and not isinstance(tool_calls_raw, (str, bytes)): return list(tool_calls_raw) return [] @staticmethod - def _check_tool_call_exists(tool_calls: list[Any], tool_call_id: str) -> bool: + def _check_tool_call_exists(tool_calls: Sequence[object], tool_call_id: str) -> bool: """Check if a tool_call with the given ID exists in the list.""" for tool_call in tool_calls: - tool_call_id_to_check: str | None = None + tool_call_id_to_check: object = None if isinstance(tool_call, dict): - tool_call_id_to_check = tool_call.get("id") + tool_call_id_to_check = _ANY_KEY_DICT_ADAPTER.validate_python(tool_call).get("id") elif hasattr(tool_call, "id"): tool_call_id_to_check = getattr(tool_call, "id", None) if tool_call_id_to_check == tool_call_id: @@ -633,12 +688,13 @@ class LiteLLMCompletionResponsesConfig: return False @staticmethod - def _reconstruct_tool_call_from_tools(tool_call_id: str, tools: list[Any]) -> dict[str, Any] | None: + def _reconstruct_tool_call_from_tools(tool_call_id: str, tools: Sequence[object]) -> dict[str, object] | None: """Reconstruct a minimal tool_call definition from tools list.""" for tool in tools: if isinstance(tool, dict): - tool_function = tool.get("function") or {} - tool_name = tool_function.get("name") or tool.get("name") or "" + tool_map = _ANY_KEY_DICT_ADAPTER.validate_python(tool) + tool_function = _ANY_KEY_DICT_ADAPTER.validate_python(tool_map.get("function") or {}) + tool_name = tool_function.get("name") or tool_map.get("name") or "" if tool_name: return { "id": tool_call_id, @@ -651,7 +707,7 @@ class LiteLLMCompletionResponsesConfig: return None @staticmethod - def _get_mapping_or_attr_value(obj: Any, key: str, default: Any = None) -> Any: + def _get_mapping_or_attr_value(obj: object, key: str, default: object = None) -> object: """ Safely read a field from dict-like or attribute-based objects. """ @@ -659,7 +715,7 @@ class LiteLLMCompletionResponsesConfig: return default if isinstance(obj, dict): - return obj.get(key, default) + return _ANY_KEY_DICT_ADAPTER.validate_python(obj).get(key, default) getter: Final = getattr(obj, "get", None) if callable(getter): @@ -672,13 +728,13 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def _create_tool_call_chunk( - tool_use_definition: dict[str, Any], tool_call_id: str, index: int + tool_use_definition: Mapping[object, object], tool_call_id: str, index: int ) -> ChatCompletionToolCallChunk: """Create a ChatCompletionToolCallChunk from tool_use_definition.""" function_raw = LiteLLMCompletionResponsesConfig._get_mapping_or_attr_value(tool_use_definition, "function") function_name_raw: Final = LiteLLMCompletionResponsesConfig._get_mapping_or_attr_value(function_raw, "name") function_arguments_raw = LiteLLMCompletionResponsesConfig._get_mapping_or_attr_value(function_raw, "arguments") - function: Final[dict[str, Any]] = { + function: Final[dict[str, object]] = { "name": function_name_raw or "", "arguments": function_arguments_raw or "{}", } @@ -697,7 +753,7 @@ class LiteLLMCompletionResponsesConfig: ) @staticmethod - def _normalize_tool_use_definition(tool_use_definition: Any, tool_call_id: str) -> dict[str, Any] | None: + def _normalize_tool_use_definition(tool_use_definition: object, tool_call_id: str) -> dict[object, object] | None: """ Normalize cached tool_call definitions to a dict-like shape consumed by _create_tool_call_chunk. """ @@ -705,7 +761,7 @@ class LiteLLMCompletionResponsesConfig: return None if isinstance(tool_use_definition, dict): - normalized_definition: dict[str, Any] = dict(tool_use_definition) + normalized_definition: dict[object, object] = _ANY_KEY_DICT_ADAPTER.validate_python(tool_use_definition) else: tool_use_id_raw = LiteLLMCompletionResponsesConfig._get_mapping_or_attr_value(tool_use_definition, "id") tool_use_type_raw = LiteLLMCompletionResponsesConfig._get_mapping_or_attr_value(tool_use_definition, "type") @@ -738,7 +794,7 @@ class LiteLLMCompletionResponsesConfig: return normalized_definition @staticmethod - def _add_tool_call_to_assistant(assistant_message: Any, tool_call_chunk: ChatCompletionToolCallChunk) -> None: + def _add_tool_call_to_assistant(assistant_message: object, tool_call_chunk: ChatCompletionToolCallChunk) -> None: """Add a tool_call to an assistant message.""" if isinstance(assistant_message, dict): prev_assistant_dict: Final = cast(dict[str, Any], assistant_message) @@ -747,7 +803,7 @@ class LiteLLMCompletionResponsesConfig: tool_calls_list: Final = prev_assistant_dict["tool_calls"] if isinstance(tool_calls_list, list): tool_calls_list.append(tool_call_chunk) - elif hasattr(assistant_message, "tool_calls"): + elif isinstance(assistant_message, _HasToolCalls): if assistant_message.tool_calls is None: assistant_message.tool_calls = [] if isinstance(assistant_message.tool_calls, list): @@ -762,7 +818,7 @@ class LiteLLMCompletionResponsesConfig: | ChatCompletionMessageToolCall | Message ], - tools: list[Any] | None = None, + tools: Sequence[object] | None = None, ) -> list[ AllMessageValues | GenericChatCompletionMessage @@ -851,7 +907,7 @@ class LiteLLMCompletionResponsesConfig: tool_calls = LiteLLMCompletionResponsesConfig._get_tool_calls_list(prev_assistant) if not LiteLLMCompletionResponsesConfig._check_tool_call_exists(tool_calls, tool_call_id): - _tool_use_definition = TOOL_CALLS_CACHE.get_cache(key=tool_call_id) + _tool_use_definition: object = TOOL_CALLS_CACHE.get_cache(key=tool_call_id) if not _tool_use_definition and tools: _tool_use_definition = LiteLLMCompletionResponsesConfig._reconstruct_tool_call_from_tools( @@ -908,7 +964,7 @@ class LiteLLMCompletionResponsesConfig: function_call=input_item ) else: - content: Final = input_item.get("content") + content: Final[object] = input_item.get("content") # Handle None content: Responses API allows None content, but GenericChatCompletionMessage requires content # Since guardrails skip None content anyway, we return empty list to exclude it from structured messages if content is None: @@ -923,7 +979,7 @@ class LiteLLMCompletionResponsesConfig: ] @staticmethod - def _is_input_item_tool_call_output(input_item: Any) -> bool: + def _is_input_item_tool_call_output(input_item: Mapping[str, object]) -> bool: """ Check if the input item is a tool call output """ @@ -936,7 +992,7 @@ class LiteLLMCompletionResponsesConfig: ] @staticmethod - def _is_input_item_function_call(input_item: Any) -> bool: + def _is_input_item_function_call(input_item: Mapping[str, object]) -> bool: """ Check if the input item is a function call or custom tool call. Both need to be reconstructed as assistant tool_calls for Chat @@ -946,7 +1002,7 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def _transform_responses_api_tool_call_output_to_chat_completion_message( - tool_call_output: dict[str, Any], + tool_call_output: Mapping[str, object], ) -> list[AllMessageValues | GenericChatCompletionMessage | ChatCompletionResponseMessage]: """ ChatCompletionToolMessage is used to indicate the output from a tool call @@ -958,7 +1014,7 @@ class LiteLLMCompletionResponsesConfig: return [] def _normalize_function_call_output_to_tool_content( - output: Any, + output: object, ) -> Any: """ Normalize Responses API function_call_output.output into a shape that downstream @@ -981,7 +1037,7 @@ class LiteLLMCompletionResponsesConfig: # Some adapters represent tool output as a list of "input_*" parts if isinstance(output, list): - normalized_blocks: Final[list[dict[str, Any]]] = [] + normalized_blocks: Final[list[dict[str, object]]] = [] text_acc: Final[list[str]] = [] for part in output: if not isinstance(part, dict): @@ -1082,7 +1138,7 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def _transform_responses_api_function_call_to_chat_completion_message( - function_call: dict[str, Any], + function_call: Mapping[str, str], ) -> list[AllMessageValues | GenericChatCompletionMessage | ChatCompletionResponseMessage]: """ Transform a Responses API function_call into a Chat Completion message with tool calls @@ -1127,7 +1183,7 @@ class LiteLLMCompletionResponsesConfig: return [chat_completion_response_message] @staticmethod - def _resolve_file_id(item: dict[str, Any]) -> str | None: + def _resolve_file_id(item: Mapping[str, object]) -> object: """ Return the effective file_id for a Responses API input_file item. Explicit file_id takes precedence; file_url is used as fallback so @@ -1136,7 +1192,7 @@ class LiteLLMCompletionResponsesConfig: return item.get("file_id") or item.get("file_url") or None @staticmethod - def _transform_input_file_item_to_file_item(item: dict[str, Any]) -> dict[str, Any]: + def _transform_input_file_item_to_file_item(item: Mapping[str, object]) -> dict[str, object]: """ Transform a Responses API input_file item to a Chat Completion file item @@ -1146,21 +1202,21 @@ class LiteLLMCompletionResponsesConfig: Returns: Dictionary with transformed file structure for Chat Completion """ - file_dict: Final[dict[str, Any]] = {} + file_dict: Final[dict[str, object]] = {} file_id: Final = LiteLLMCompletionResponsesConfig._resolve_file_id(item) if file_id: file_dict["file_id"] = file_id if item.get("file_data"): file_dict["file_data"] = item["file_data"] - new_item: Final[dict[str, Any]] = {"type": "file", "file": file_dict} + new_item: Final[dict[str, object]] = {"type": "file", "file": file_dict} if "cache_control" in item: new_item["cache_control"] = item["cache_control"] return new_item @staticmethod def _transform_input_image_item_to_image_item( - item: dict[str, Any], + item: Mapping[str, str], ) -> ChatCompletionImageObject: """ Transform a Responses API input_image item to a Chat Completion image item @@ -1173,8 +1229,8 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def _transform_responses_api_content_to_chat_completion_content( - content: Any, - ) -> str | list[str | dict[str, Any]]: + content: object, + ) -> str | list[str | dict[str, object]]: """ Transform a Responses API content into a Chat Completion content @@ -1188,7 +1244,7 @@ class LiteLLMCompletionResponsesConfig: elif isinstance(content, str): return content elif isinstance(content, list): - content_list: Final[list[str | dict[str, Any]]] = [] + content_list: Final[list[str | dict[str, object]]] = [] for item in content: if isinstance(item, str): content_list.append(item) @@ -1198,8 +1254,8 @@ class LiteLLMCompletionResponsesConfig: LiteLLMCompletionResponsesConfig._transform_input_file_item_to_file_item(item) ) elif item.get("type") == "input_image": - image_block = dict( - LiteLLMCompletionResponsesConfig._transform_input_image_item_to_image_item(item) + image_block = _STR_KEY_DICT_ADAPTER.validate_python( + dict(LiteLLMCompletionResponsesConfig._transform_input_image_item_to_image_item(item)) ) if "cache_control" in item: image_block["cache_control"] = item["cache_control"] @@ -1209,7 +1265,7 @@ class LiteLLMCompletionResponsesConfig: text_value = item.get("text") if text_value is None: continue - content_block: dict[str, Any] = { + content_block: dict[str, object] = { "type": LiteLLMCompletionResponsesConfig._get_chat_completion_request_content_type( item.get("type") or "text" ), @@ -1299,7 +1355,7 @@ class LiteLLMCompletionResponsesConfig: parameters = dict(typed_tool.get("parameters", {}) or {}) if not parameters or "type" not in parameters: parameters["type"] = "object" - chat_completion_tool: dict[str, Any] = { + chat_completion_tool: dict[str, object] = { "type": "function", "function": { "name": typed_tool.get("name") or "", @@ -1340,7 +1396,7 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def transform_chat_completion_tool_params_to_responses_api_tools( chat_completion_tools: list[ChatCompletionToolParam | OpenAIMcpServerTool] | None, - ) -> list[dict[str, Any]]: + ) -> list[dict[str, object]]: """ Transform Chat Completion tool params (e.g. from guardrail output) back to Responses API request tool format. Inverse of @@ -1348,7 +1404,7 @@ class LiteLLMCompletionResponsesConfig: """ if chat_completion_tools is None or not chat_completion_tools: return [] - result: Final[list[dict[str, Any]]] = [] + result: Final[list[dict[str, object]]] = [] for tool in chat_completion_tools: if not isinstance(tool, dict): result.append(tool) @@ -1358,7 +1414,7 @@ class LiteLLMCompletionResponsesConfig: parameters = dict(fn.get("parameters", {}) or {}) if not parameters or "type" not in parameters: parameters["type"] = "object" - responses_tool: dict[str, Any] = { + responses_tool: dict[str, object] = { "type": "function", "name": fn.get("name") or "", "description": fn.get("description") or "", @@ -1510,7 +1566,7 @@ class LiteLLMCompletionResponsesConfig: def convert_response_function_tool_call_to_chat_completion_tool_call( tool_call_item: Any, index: int = 0, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Convert ResponseFunctionToolCall to ChatCompletionToolCallChunk format. @@ -1536,7 +1592,7 @@ class LiteLLMCompletionResponsesConfig: else (dict(provider_fields) if hasattr(provider_fields, "__dict__") else {}) ) - function_dict: Final[dict[str, Any]] = { + function_dict: Final[dict[str, object]] = { "name": tool_call_item.name, "arguments": tool_call_item.arguments, } @@ -1544,7 +1600,7 @@ class LiteLLMCompletionResponsesConfig: if provider_specific_fields: function_dict["provider_specific_fields"] = provider_specific_fields - tool_call_dict: Final[dict[str, Any]] = { + tool_call_dict: Final[dict[str, object]] = { "id": LiteLLMCompletionResponsesConfig._tool_call_id_from_responses_item( getattr(tool_call_item, "id", None), getattr(tool_call_item, "call_id", None), @@ -1561,9 +1617,9 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def convert_apply_patch_tool_call_to_chat_completion_tool_call( - tool_call_item: Any, + tool_call_item: "ResponseApplyPatchToolCall", index: int = 0, - ) -> dict[str, Any]: + ) -> dict[str, object]: """ Convert ResponseApplyPatchToolCall to ChatCompletionToolCallChunk format. @@ -1581,7 +1637,7 @@ class LiteLLMCompletionResponsesConfig: import json operation_dict: Final = tool_call_item.operation.model_dump() - tool_call_dict: Final[dict[str, Any]] = { + tool_call_dict: Final[dict[str, object]] = { "id": tool_call_item.call_id, "function": { "name": "apply_patch", @@ -1795,9 +1851,11 @@ class LiteLLMCompletionResponsesConfig: if not images: return image_generation_items - for idx, image_item in enumerate(images): + for idx, image_item in enumerate(_DICT_ITEMS_LIST_ADAPTER.validate_python(images)): # Extract base64 from data URL - image_url = image_item.get("image_url", {}).get("url", "") + image_url = _TEXT_ADAPTER.validate_python( + _ANY_KEY_DICT_ADAPTER.validate_python(image_item.get("image_url", {})).get("url", "") + ) base64_data = LiteLLMCompletionResponsesConfig._extract_base64_from_data_url(image_url) if base64_data: @@ -2048,8 +2106,8 @@ class LiteLLMCompletionResponsesConfig: @staticmethod def _transform_text_format_to_response_format( - text_param: dict[str, Any] | Any, - ) -> dict[str, Any] | None: + text_param: object, + ) -> dict[str, object] | None: """ Transform Responses API text.format parameter to Chat Completion response_format parameter. diff --git a/litellm/responses/streaming_iterator.py b/litellm/responses/streaming_iterator.py index 820839fc6bf..2e1e1a44594 100644 --- a/litellm/responses/streaming_iterator.py +++ b/litellm/responses/streaming_iterator.py @@ -5,7 +5,7 @@ import json import time import traceback import uuid -from collections.abc import Mapping +from collections.abc import Awaitable, Callable, Mapping from datetime import datetime from functools import lru_cache from types import MappingProxyType @@ -33,6 +33,7 @@ from litellm.llms.base_llm.responses.transformation import BaseResponsesAPIConfi from litellm.responses.utils import ResponseAPILoggingUtils, ResponsesAPIRequestUtils from litellm.types.llms.openai import ( PART_UNION_TYPES, + ResponseAPIUsage, ResponsesAPIResponse, ResponsesAPIStreamEvents, ResponsesAPIStreamingResponse, @@ -112,7 +113,7 @@ _ERROR_CODE_HTTP_STATUS: Final[Mapping[str, int]] = MappingProxyType( def _error_event_fields(error_obj: object) -> tuple[str, str | None, str | None]: - if isinstance(error_obj, dict): + if _is_json_object(error_obj): raw_message = error_obj.get("message") raw_type = error_obj.get("type") raw_code = error_obj.get("code") @@ -243,7 +244,9 @@ class BaseResponsesAPIStreamingIterator: # Using getattr(..., "response") alone is unsafe with Mocks: they synthesize a # truthy child Mock for any attribute, which breaks tests and is wrong on stream. if "response" in parsed_chunk: - response_object: Final = getattr(openai_responses_api_chunk, "response", None) + response_object: Final[ResponsesAPIResponse | None] = getattr( + openai_responses_api_chunk, "response", None + ) if response_object is not None: response: Final = ResponsesAPIRequestUtils._update_responses_api_response_id_with_model_id( responses_api_response=response_object, @@ -279,7 +282,9 @@ class BaseResponsesAPIStreamingIterator: model_id=_stream_model_id, ) elif _event_type == ResponsesAPIStreamEvents.CONTENT_PART_DONE: - _part: Final = getattr(openai_responses_api_chunk, "part", None) + _part: Final[PART_UNION_TYPES | Mapping[str, object] | None] = getattr( + openai_responses_api_chunk, "part", None + ) if _part is not None: if isinstance(_part, dict): ResponsesAPIRequestUtils._encode_container_ids_in_annotations( @@ -302,7 +307,7 @@ class BaseResponsesAPIStreamingIterator: openai_types.ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED, openai_types.ResponsesAPIStreamEvents.OUTPUT_ITEM_DONE, ): - item: Final = getattr(openai_responses_api_chunk, "item", None) + item: Final[object | None] = getattr(openai_responses_api_chunk, "item", None) if item: encrypted_content: Final = getattr(item, "encrypted_content", None) if encrypted_content and isinstance(encrypted_content, str): @@ -324,9 +329,11 @@ class BaseResponsesAPIStreamingIterator: self.completed_response = openai_responses_api_chunk # Add cost to usage object if include_cost_in_streaming_usage is True if litellm.include_cost_in_streaming_usage and self.logging_obj is not None: - response_obj: Final[Any | None] = getattr(openai_responses_api_chunk, "response", None) + response_obj: Final[ResponsesAPIResponse | None] = getattr( + openai_responses_api_chunk, "response", None + ) if response_obj: - usage_obj: Final[Any | None] = getattr(response_obj, "usage", None) + usage_obj: Final[ResponseAPIUsage | None] = getattr(response_obj, "usage", None) if usage_obj is not None: try: cost: float | None = self.logging_obj._response_cost_calculator(result=response_obj) @@ -414,7 +421,9 @@ class BaseResponsesAPIStreamingIterator: async_failure_handler / failure_handler so logging integrations correctly record the call as failed. """ - response_obj: Final = getattr(self.completed_response, "response", None) if self.completed_response else None + response_obj: Final[ResponsesAPIResponse | None] = ( + getattr(self.completed_response, "response", None) if self.completed_response else None + ) error_info: Final = getattr(response_obj, "error", None) if response_obj else None error_message, error_type, error_code = _error_event_fields(error_info) self._record_failed_response_usage(response_obj) @@ -429,7 +438,7 @@ class BaseResponsesAPIStreamingIterator: def _record_failed_response_usage(self, response_obj: ResponsesAPIResponse | None) -> None: if response_obj is None or self.logging_obj is None: return - usage_obj: Final = getattr(response_obj, "usage", None) + usage_obj: Final[ResponseAPIUsage | None] = getattr(response_obj, "usage", None) if usage_obj is None: return try: @@ -506,7 +515,7 @@ class BaseResponsesAPIStreamingIterator: return request_kwargs = getattr(caching_handler, "request_kwargs", None) - if not isinstance(request_kwargs, dict) or request_kwargs.get("stream") is not True: + if not _is_json_object(request_kwargs) or request_kwargs.get("stream") is not True: return request_kwargs = request_kwargs.copy() preset_cache_key = getattr(caching_handler, "preset_cache_key", None) @@ -606,7 +615,7 @@ class BaseResponsesAPIStreamingIterator: if self.completed_response is None: return - request_payload: Final[dict[str, Any]] = {} + request_payload: Final[dict[str, object]] = {} if isinstance(self.request_data, dict): request_payload.update(self.request_data) try: @@ -695,11 +704,15 @@ class BaseResponsesAPIStreamingIterator: pass -async def call_post_streaming_hooks_for_testing(iterator, chunk): +async def call_post_streaming_hooks_for_testing( + iterator: object, chunk: ResponsesAPIStreamingResponse +) -> ResponsesAPIStreamingResponse: """ Module-level helper for tests to ensure hooks can be invoked even if the iterator is wrapped. """ - hook_fn: Final = getattr(iterator, "_call_post_streaming_deployment_hook", None) + hook_fn: Final[Callable[[ResponsesAPIStreamingResponse], Awaitable[ResponsesAPIStreamingResponse]] | None] = ( + getattr(iterator, "_call_post_streaming_deployment_hook", None) + ) if hook_fn is None: return chunk return await hook_fn(chunk) @@ -1019,7 +1032,7 @@ class CachedResponsesAPIStreamingIterator(BaseResponsesAPIStreamingIterator): def _dump_response_object(obj: Any) -> dict[str, Any]: if hasattr(obj, "model_dump"): return obj.model_dump() - if isinstance(obj, dict): + if _is_json_object(obj): return obj return {} @@ -1684,7 +1697,7 @@ class ResponsesWebSocketStreaming: return response_str try: - evt_obj: Final = json.loads(response_str) + evt_obj: Final[Mapping[str, object]] = json.loads(response_str) except (json.JSONDecodeError, TypeError): return response_str @@ -1925,7 +1938,7 @@ class ManagedResponsesWebSocketHandler: @staticmethod def _extract_output_messages( - completed_event: dict[str, Any], + completed_event: dict[str, object], ) -> list[dict[str, object]]: """ Convert the output items in a ``response.completed`` event into @@ -2065,7 +2078,7 @@ class ManagedResponsesWebSocketHandler: Flat: {"type": "response.create", "input": [...], "model": "...", ...} """ nested: Final = msg_obj.get("response") - response_params: Final[dict[str, Any]] = ( + response_params: Final[dict[str, object]] = ( nested if _is_json_object(nested) and nested else {k: v for k, v in msg_obj.items() if k != "type"} ) return { @@ -2076,7 +2089,7 @@ class ManagedResponsesWebSocketHandler: def _apply_history( self, - call_kwargs: dict[str, Any], + call_kwargs: dict[str, object], previous_response_id: str | None, current_messages: list[dict[str, object]], prior_history: list[dict[str, object]], @@ -2129,7 +2142,7 @@ class ManagedResponsesWebSocketHandler: return False return event_provider == self._connection_provider - def _inject_credentials(self, call_kwargs: dict[str, Any], model: str | None = None) -> None: + def _inject_credentials(self, call_kwargs: dict[str, object], model: str | None = None) -> None: """Inject connection-level credentials and metadata into call_kwargs.""" if self.api_key is not None: call_kwargs["api_key"] = self.api_key diff --git a/ruff-strict-budget.json b/ruff-strict-budget.json index a8af4eabb3f..68a6451e273 100644 --- a/ruff-strict-budget.json +++ b/ruff-strict-budget.json @@ -1,6 +1,6 @@ { "ANN001": { - "limit": 3121 + "limit": 3114 }, "ANN002": { "limit": 71 @@ -9,7 +9,7 @@ "limit": 834 }, "ANN201": { - "limit": 2032 + "limit": 2031 }, "ANN202": { "limit": 865 @@ -24,7 +24,7 @@ "limit": 133 }, "ANN401": { - "limit": 1630 + "limit": 1555 }, "ASYNC230": { "limit": 11 @@ -81,7 +81,7 @@ "limit": 1 }, "C901": { - "limit": 315 + "limit": 314 }, "D419": { "limit": 6 @@ -306,7 +306,7 @@ "limit": 0 }, "TID251": { - "limit": 1240 + "limit": 1238 }, "TRY002": { "limit": 528 diff --git a/type-discipline-budget.json b/type-discipline-budget.json index 0a0cfe9a617..3a670bc7345 100644 --- a/type-discipline-budget.json +++ b/type-discipline-budget.json @@ -1,9 +1,9 @@ { "LIT001": { - "limit": 23235 + "limit": 23149 }, "LIT002": { - "limit": 27176 + "limit": 27166 }, "LIT003": { "limit": 269 @@ -15,7 +15,7 @@ "limit": 0 }, "LIT006": { - "limit": 1091 + "limit": 1086 }, "LIT007": { "limit": 0 @@ -27,7 +27,7 @@ "limit": 0 }, "LIT010": { - "limit": 16769 + "limit": 16760 }, "LIT011": { "limit": 5598 From fb7861fbfd9273ff081d496745456a772b2a36a2 Mon Sep 17 00:00:00 2001 From: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 10:41:06 -0700 Subject: [PATCH 043/120] build(lint): count deleted files toward check triggers --- CLAUDE.md | 2 +- scripts/pre_commit_lint.sh | 22 ++++++++----- tests/test_litellm/test_pre_commit_lint.py | 36 ++++++++++++++++++++++ 3 files changed, 52 insertions(+), 8 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index 0354e3def53..abd5993eb1a 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -41,7 +41,7 @@ Python max line length is 120, not 88 When you fix violations gated by `ruff-strict-budget.json`, `type-discipline-budget.json`, or `basedpyright-code-budget.json`, run `make lint-budget-update` and commit the lowered limits so the ceilings ratchet down instead of leaving stale headroom. It measures the working tree, so it must contain exactly the fixes you're committing -Run `make check` (formerly `make pre-commit`, which still works as an alias) before every commit, merge commits included. It runs the CI-gating lint scoped to your staged files, so stage everything you intend to commit first; it warns about changed files you left unstaged and names the checks that were skipped because of them. With nothing staged it instead checks the working tree's diff against the merge base with origin/litellm_internal_staging, which is how you predict the CI lint on an already-committed branch, e.g. right after a merge commit +Run `make check` (formerly `make pre-commit`, which still works as an alias) before every commit, merge commits included. It runs the CI-gating lint scoped to your staged files, so stage everything you intend to commit first; it warns about changed files you left unstaged and names the checks that were skipped because of them. With nothing staged it instead checks the working tree's diff against the merge base with origin/litellm_internal_staging, which is how you predict the CI lint on an already-committed branch, e.g. right after a merge commit. Deleted files count toward which checks run (a deletion alone can turn CI red) in both modes `make check` saves its complete output to a log file in .git (overwriting previous logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice diff --git a/scripts/pre_commit_lint.sh b/scripts/pre_commit_lint.sh index 1bf7fe17832..afe55603466 100755 --- a/scripts/pre_commit_lint.sh +++ b/scripts/pre_commit_lint.sh @@ -44,7 +44,7 @@ fi repo_root=$(git rev-parse --show-toplevel) cd "$repo_root" -staged=$(git diff --cached --name-only --diff-filter=ACMR) +staged=$(git diff --cached --name-only --diff-filter=ACMRD) unstaged=$(git diff --name-only) untracked=$(git ls-files --others --exclude-standard) @@ -57,7 +57,7 @@ else echo " Fix: git fetch origin litellm_internal_staging" >&2 exit 1 } - scope=$(printf '%s\n' "$(git diff --name-only --diff-filter=ACMR "$merge_base")" "$untracked" | sed '/^$/d' | sort -u) + scope=$(printf '%s\n' "$(git diff --name-only --diff-filter=ACMRD "$merge_base")" "$untracked" | sed '/^$/d' | sort -u) if [ -z "$scope" ]; then echo "check: nothing to check (no staged files, no working-tree changes, no branch changes vs origin/litellm_internal_staging)" exit 0 @@ -68,6 +68,12 @@ fi scope_match() { printf '%s\n' "$scope" | grep -E "$1" || true; } +existing_files() { + while IFS= read -r f; do + if [ -f "$f" ]; then printf '%s\n' "$f"; fi + done +} + litellm_py_pattern='^litellm/.*\.py$' e2e_py_pattern='^tests/e2e/.*\.py$' spec_pattern='^(litellm/(proxy|types)/.*|ui/litellm-dashboard/(scripts/gen-api-types\.mjs|package\.json|package-lock\.json|src/lib/http/schema\.d\.ts))$' @@ -80,15 +86,17 @@ ui_eslint_pattern='^ui/litellm-dashboard/.*\.(js|jsx|ts|tsx|mjs|cjs)$' litellm_py_files=$(scope_match "$litellm_py_pattern") e2e_py_files=$(scope_match "$e2e_py_pattern") # ruff format (and CI's format step) skip enterprise; the rest of make lint covers it. -fmt_files=$(printf '%s\n' "$litellm_py_files" | grep -v '^litellm/enterprise/' || true) +fmt_files=$(printf '%s\n' "$litellm_py_files" | grep -v '^litellm/enterprise/' | existing_files) # check-ui-api-types.yml triggers on any file under litellm/proxy or litellm/types # (Prisma schema and configs included, not just Python) plus the generator and its # lockfiles, so match that whole trigger set rather than a Python subset. spec_files=$(scope_match "$spec_pattern") # CI's frontend-lint runs prettier over a wider extension set than eslint; keep that # split so this flags exactly what the job would. -ui_prettier_files=$(scope_match "$ui_prettier_pattern") -ui_eslint_files=$(scope_match "$ui_eslint_pattern") +ui_prettier_changed=$(scope_match "$ui_prettier_pattern") +ui_eslint_changed=$(scope_match "$ui_eslint_pattern") +ui_prettier_files=$(printf '%s\n' "$ui_prettier_changed" | existing_files) +ui_eslint_files=$(printf '%s\n' "$ui_eslint_changed" | existing_files) # CI lints the committed tree, so with staged files this script predicts CI for # what you have STAGED (every trigger above reads `git diff --cached`). The tools @@ -116,7 +124,7 @@ if [ -n "$staged" ]; then } warn_skipped "Python lint (make lint)" "$litellm_py_pattern" "$litellm_py_files" warn_skipped "tests/e2e checks (basedpyright + raw HTTP client ban)" "$e2e_py_pattern" "$e2e_py_files" - warn_skipped "dashboard lint (prettier + eslint + lint budgets)" "$ui_prettier_pattern" "$ui_prettier_files" + warn_skipped "dashboard lint (prettier + eslint + lint budgets)" "$ui_prettier_pattern" "$ui_prettier_changed" warn_skipped "dashboard API-type sync (npm run gen:api)" "$spec_pattern" "$spec_files" fi @@ -214,7 +222,7 @@ dashboard_checks() { lint_dashboard || { echo "✗ Dashboard lint failed. See above; format with: (cd ui/litellm-dashboard && npm run format)." >&2; return 1; } } -if [ -n "$ui_prettier_files" ] || [ -n "$ui_eslint_files" ]; then +if [ -n "$ui_prettier_changed" ] || [ -n "$ui_eslint_changed" ]; then dash_log=$(mktemp) set -m dashboard_checks > "$dash_log" 2>&1 & diff --git a/tests/test_litellm/test_pre_commit_lint.py b/tests/test_litellm/test_pre_commit_lint.py index 12b8d338b49..35d98903226 100644 --- a/tests/test_litellm/test_pre_commit_lint.py +++ b/tests/test_litellm/test_pre_commit_lint.py @@ -181,6 +181,42 @@ def test_nothing_staged_includes_untracked_files_in_scope(tmp_path: Path) -> Non assert "linting Python" in proc.stdout +def test_nothing_staged_deletion_only_branch_triggers_checks(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + (repo / "litellm" / "foo.py").unlink() + _commit_all(repo, "delete module") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "nothing to check" not in proc.stdout + assert "litellm/foo.py" in proc.stdout + assert "linting Python" in proc.stdout + assert "ruff format --check" not in proc.stdout + + +def test_staged_deletion_triggers_checks_without_feeding_missing_files_to_tools(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + subprocess.run(["git", "rm", "-q", "litellm/foo.py"], cwd=repo, check=True) + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "nothing staged" not in proc.stdout + assert "linting Python" in proc.stdout + assert "ruff format --check" not in proc.stdout + + +def test_deleted_dashboard_file_still_triggers_dashboard_lint(tmp_path: Path) -> None: + repo, bin_dir = _sandbox(tmp_path) + _commit_all(repo, "base") + _set_base_ref(repo) + (repo / "ui" / "litellm-dashboard" / "src" / "app.ts").unlink() + _commit_all(repo, "delete dashboard file") + proc = _run(repo, bin_dir, {}) + assert proc.returncode == 0, proc.stdout + proc.stderr + assert "linting dashboard" in proc.stdout + + def test_nothing_staged_and_no_changes_is_an_explicit_no_op(tmp_path: Path) -> None: repo, bin_dir = _sandbox(tmp_path) _commit_all(repo, "base") From f6df762b2537b797b2562af44ac9107ed4fe5c77 Mon Sep 17 00:00:00 2001 From: Mateo Wang <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 10:45:43 -0700 Subject: [PATCH 044/120] test: roll back live router replay membership between tests (#36278) Since #35491, every Router joins the module-global _live_routers weak set at construction, and every model cost map swap replays the deployments of every member on top of the freshly adopted map. #36039 isolated the register_model ledger half of that replay but not this half: under pytest-xdist, a Router created by an earlier test in the same worker that was still referenced (or simply not yet garbage collected) re-registered its deployments during TestPriceDataReloadIntegration::test_distributed_reload_check_function, and register_model hydrated the sparse mocked gpt-3.5-turbo entry into a full ModelInfo dict, failing the exact-equality assert (reruns cannot help since the polluting router survives in the worker process) The autouse isolate_litellm_state fixture now snapshots _live_routers before each test and restores its membership on teardown, so a test's routers stop contributing to cost map rebuilds once the test ends. A canary pair in test_conftest_isolation.py asserts the rollback --- tests/test_litellm/conftest.py | 8 +++++++ tests/test_litellm/test_conftest_isolation.py | 23 +++++++++++++++++++ 2 files changed, 31 insertions(+) diff --git a/tests/test_litellm/conftest.py b/tests/test_litellm/conftest.py index c0993051d33..0dc8f56f3ce 100644 --- a/tests/test_litellm/conftest.py +++ b/tests/test_litellm/conftest.py @@ -19,6 +19,7 @@ sys.path.insert( import asyncio import litellm +from litellm import router as litellm_router_module from litellm import utils as litellm_utils_module from litellm._logging import ALL_LOGGERS from litellm.litellm_core_utils.prompt_templates import ( @@ -244,6 +245,8 @@ def isolate_litellm_state(): for model_key, model_value in litellm_utils_module._runtime_registered_model_cost.items() } + original_live_routers = set(litellm_router_module._live_routers) + # Store LiteLLM logger state. Some tests reconfigure handlers/propagation for # JSON logging and do not restore them, which breaks later caplog-based tests. logger_state = {} @@ -313,6 +316,11 @@ def isolate_litellm_state(): litellm_utils_module._runtime_registered_model_cost.clear() litellm_utils_module._runtime_registered_model_cost.update(original_runtime_registered_model_cost) + for _router in tuple(litellm_router_module._live_routers): + litellm_router_module._live_routers.discard(_router) + for _router in original_live_routers: + litellm_router_module._live_routers.add(_router) + # Restore logger configuration mutated by logging-focused tests. for logger in ALL_LOGGERS: original_logger_state = logger_state.get(logger.name) diff --git a/tests/test_litellm/test_conftest_isolation.py b/tests/test_litellm/test_conftest_isolation.py index 88889ad7740..15183e68f66 100644 --- a/tests/test_litellm/test_conftest_isolation.py +++ b/tests/test_litellm/test_conftest_isolation.py @@ -1,9 +1,15 @@ import litellm +from litellm import Router +from litellm import router as litellm_router_module from litellm import utils as litellm_utils_module CANARY_MODEL = "conftest-isolation-canary-model" +class _CanaryRouterHolder: + router: Router | None = None + + def test_register_model_ledger_entry_is_scoped_to_this_test(): litellm.register_model({CANARY_MODEL: {"litellm_provider": "openai", "input_cost_per_token": 0.001}}) assert CANARY_MODEL in litellm_utils_module._runtime_registered_model_cost @@ -11,3 +17,20 @@ def test_register_model_ledger_entry_is_scoped_to_this_test(): def test_register_model_ledger_entry_was_rolled_back(): assert CANARY_MODEL not in litellm_utils_module._runtime_registered_model_cost + + +def test_live_router_membership_is_scoped_to_this_test(): + _CanaryRouterHolder.router = Router( + model_list=[ + { + "model_name": "conftest-isolation-canary-router", + "litellm_params": {"model": "openai/conftest-isolation-canary-backend", "api_key": "sk-canary"}, + } + ] + ) + assert _CanaryRouterHolder.router in litellm_router_module._live_routers + + +def test_live_router_membership_was_rolled_back(): + assert _CanaryRouterHolder.router is not None + assert _CanaryRouterHolder.router not in litellm_router_module._live_routers From 0d7f7c689a58aeea6cd26b8cb9fba90b31be8955 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Sat, 8 Aug 2026 12:19:22 -0700 Subject: [PATCH 045/120] test: repair stale CircleCI contracts --- litellm/proxy/db/autorouter_session_rollup.py | 47 +++++++++++++++++ .../auto_router_endpoints.py | 50 +------------------ tests/agent_tests/test_a2a_agent.py | 2 +- .../test_proxy_budget_reset.py | 24 ++++++--- .../base_responses_api.py | 4 +- .../spend/test_autorouter_session_rollup.py | 16 +++--- .../src/components/team/TeamInfo.test.tsx | 23 +-------- ui/litellm-dashboard/src/lib/http/schema.d.ts | 2 +- 8 files changed, 81 insertions(+), 87 deletions(-) diff --git a/litellm/proxy/db/autorouter_session_rollup.py b/litellm/proxy/db/autorouter_session_rollup.py index b1f074c26b7..9732b1d7402 100644 --- a/litellm/proxy/db/autorouter_session_rollup.py +++ b/litellm/proxy/db/autorouter_session_rollup.py @@ -33,6 +33,53 @@ if TYPE_CHECKING: CACHE_TTL_5M_SECONDS: Final = 300 CACHE_TTL_1H_SECONDS: Final = 3600 +AUTOROUTER_BENCHMARKS_SQL: Final = """ +WITH windowed AS ( + SELECT * FROM "LiteLLM_AutoRouterSession" + WHERE last_turn_at >= $1::timestamp AND first_turn_at < $2::timestamp +), +tier_maps AS ( + SELECT router_name, router_type, jsonb_object_agg(tier, tier_turns) AS tier_turns + FROM ( + SELECT router_name, router_type, kv.key AS tier, SUM((kv.value)::int)::int AS tier_turns + FROM windowed, LATERAL jsonb_each_text(tier_turns) AS kv + GROUP BY router_name, router_type, kv.key + ) per_tier + GROUP BY router_name, router_type +) +SELECT + agg.*, + COALESCE(tier_maps.tier_turns, '{}'::jsonb) AS tier_turns +FROM ( +SELECT + router_name, + router_type, + COUNT(*)::int AS sessions, + COALESCE(SUM(turns), 0)::int AS turns, + COALESCE(SUM(unordered_turns), 0)::int AS unordered_turns, + COALESCE(SUM(covered_turns), 0)::int AS covered_turns, + COALESCE(SUM(cache_hits), 0)::int AS cache_hits, + COALESCE(SUM(same_model_turns), 0)::int AS same_model_turns, + COALESCE(SUM(same_model_hits), 0)::int AS same_model_hits, + COALESCE(SUM(first_visit_turns), 0)::int AS first_visit_turns, + COALESCE(SUM(first_visit_hits), 0)::int AS first_visit_hits, + COALESCE(SUM(return_turns), 0)::int AS return_turns, + COALESCE(SUM(return_hits), 0)::int AS return_hits, + COALESCE(SUM(return_expired_misses), 0)::int AS return_expired_misses, + COALESCE(SUM(return_within_ttl_misses), 0)::int AS return_within_ttl_misses, + COALESCE(SUM(ttl_5m_turns), 0)::int AS ttl_5m_turns, + COALESCE(SUM(ttl_1h_turns), 0)::int AS ttl_1h_turns, + COALESCE(SUM(total_tokens), 0)::bigint AS total_tokens, + COALESCE(SUM(spend), 0)::float8 AS spend, + COALESCE(SUM(saved_spend), 0)::float8 AS saved_spend, + COALESCE(SUM(EXTRACT(EPOCH FROM (last_turn_at - first_turn_at))), 0)::float8 AS session_seconds +FROM windowed +GROUP BY router_name, router_type +) agg +LEFT JOIN tier_maps USING (router_name, router_type) +ORDER BY agg.spend DESC +""" + @dataclass(frozen=True, slots=True) class AutoRouterTurnTransaction: diff --git a/litellm/proxy/management_endpoints/auto_router_endpoints.py b/litellm/proxy/management_endpoints/auto_router_endpoints.py index d4221845b0c..8b6aafea751 100644 --- a/litellm/proxy/management_endpoints/auto_router_endpoints.py +++ b/litellm/proxy/management_endpoints/auto_router_endpoints.py @@ -26,6 +26,7 @@ from litellm.proxy.auth.auth_checks import ( can_key_call_resolved_model, ) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth +from litellm.proxy.db.autorouter_session_rollup import AUTOROUTER_BENCHMARKS_SQL from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup from litellm.repositories.team_repository import TeamRepository from litellm.router_strategy.complexity_router import ComplexityRouter @@ -285,53 +286,6 @@ class _SessionAggRow(BaseModel): _SESSION_AGG_ROWS: Final = TypeAdapter(list[_SessionAggRow]) -_BENCHMARKS_SQL: Final = """ -WITH windowed AS ( - SELECT * FROM "LiteLLM_AutoRouterSession" - WHERE last_turn_at >= $1::timestamp AND first_turn_at < $2::timestamp -), -tier_maps AS ( - SELECT router_name, router_type, jsonb_object_agg(tier, tier_turns) AS tier_turns - FROM ( - SELECT router_name, router_type, kv.key AS tier, SUM((kv.value)::int)::int AS tier_turns - FROM windowed, LATERAL jsonb_each_text(tier_turns) AS kv - GROUP BY router_name, router_type, kv.key - ) per_tier - GROUP BY router_name, router_type -) -SELECT - agg.*, - COALESCE(tier_maps.tier_turns, '{}'::jsonb) AS tier_turns -FROM ( -SELECT - router_name, - router_type, - COUNT(*)::int AS sessions, - COALESCE(SUM(turns), 0)::int AS turns, - COALESCE(SUM(unordered_turns), 0)::int AS unordered_turns, - COALESCE(SUM(covered_turns), 0)::int AS covered_turns, - COALESCE(SUM(cache_hits), 0)::int AS cache_hits, - COALESCE(SUM(same_model_turns), 0)::int AS same_model_turns, - COALESCE(SUM(same_model_hits), 0)::int AS same_model_hits, - COALESCE(SUM(first_visit_turns), 0)::int AS first_visit_turns, - COALESCE(SUM(first_visit_hits), 0)::int AS first_visit_hits, - COALESCE(SUM(return_turns), 0)::int AS return_turns, - COALESCE(SUM(return_hits), 0)::int AS return_hits, - COALESCE(SUM(return_expired_misses), 0)::int AS return_expired_misses, - COALESCE(SUM(return_within_ttl_misses), 0)::int AS return_within_ttl_misses, - COALESCE(SUM(ttl_5m_turns), 0)::int AS ttl_5m_turns, - COALESCE(SUM(ttl_1h_turns), 0)::int AS ttl_1h_turns, - COALESCE(SUM(total_tokens), 0)::bigint AS total_tokens, - COALESCE(SUM(spend), 0)::float8 AS spend, - COALESCE(SUM(saved_spend), 0)::float8 AS saved_spend, - COALESCE(SUM(EXTRACT(EPOCH FROM (last_turn_at - first_turn_at))), 0)::float8 AS session_seconds -FROM windowed -GROUP BY router_name, router_type -) agg -LEFT JOIN tier_maps USING (router_name, router_type) -ORDER BY agg.spend DESC -""" - def _parse_benchmark_day(value: str) -> datetime: try: @@ -455,7 +409,7 @@ async def get_auto_router_benchmarks( raise HTTPException(status_code=400, detail="end_date must not be earlier than start_date") raw_rows: Final = await prisma_client.db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, start_day.isoformat(), (end_day + timedelta(days=1)).isoformat(), ) diff --git a/tests/agent_tests/test_a2a_agent.py b/tests/agent_tests/test_a2a_agent.py index f5ad9601369..1f72ced64f1 100644 --- a/tests/agent_tests/test_a2a_agent.py +++ b/tests/agent_tests/test_a2a_agent.py @@ -40,7 +40,7 @@ class MockA2AClient: name="mock-agent", url="http://mock-agent.local" ) - async def send_message(self, request): + async def send_message(self, request, *, context=None): from a2a.compat.v0_3.conversions import pb2_v10 for text in ("hel", "hello"): diff --git a/tests/litellm_utils_tests/test_proxy_budget_reset.py b/tests/litellm_utils_tests/test_proxy_budget_reset.py index 44da3ea06a0..00d5380b2f4 100644 --- a/tests/litellm_utils_tests/test_proxy_budget_reset.py +++ b/tests/litellm_utils_tests/test_proxy_budget_reset.py @@ -622,8 +622,12 @@ async def test_service_logger_keys_success(): logger success hook is called with the correct event metadata and no exception is logged. """ keys = [ - {"id": "key1", "spend": 10.0, "budget_duration": 60, "token": "key1"}, - {"id": "key2", "spend": 15.0, "budget_duration": 60, "token": "key2"}, + _attrify( + {"id": "key1", "spend": 10.0, "budget_duration": 60, "token": "key1"} + ), + _attrify( + {"id": "key2", "spend": 15.0, "budget_duration": 60, "token": "key2"} + ), ] prisma_client = MagicMock() prisma_client.get_data = AsyncMock(return_value=keys) @@ -740,8 +744,12 @@ async def test_service_logger_users_success(): the correct metadata and no exception is logged. """ users = [ - {"id": "user1", "spend": 20.0, "budget_duration": 120, "user_id": "user1"}, - {"id": "user2", "spend": 25.0, "budget_duration": 120, "user_id": "user2"}, + _attrify( + {"id": "user1", "spend": 20.0, "budget_duration": 120, "user_id": "user1"} + ), + _attrify( + {"id": "user2", "spend": 25.0, "budget_duration": 120, "user_id": "user2"} + ), ] prisma_client = MagicMock() prisma_client.get_data = AsyncMock(return_value=users) @@ -853,8 +861,12 @@ async def test_service_logger_teams_success(): the proper metadata and nothing is logged as an exception. """ teams = [ - {"id": "team1", "spend": 30.0, "budget_duration": 180, "team_id": "team1"}, - {"id": "team2", "spend": 35.0, "budget_duration": 180, "team_id": "team2"}, + _attrify( + {"id": "team1", "spend": 30.0, "budget_duration": 180, "team_id": "team1"} + ), + _attrify( + {"id": "team2", "spend": 35.0, "budget_duration": 180, "team_id": "team2"} + ), ] prisma_client = MagicMock() prisma_client.get_data = AsyncMock(return_value=teams) diff --git a/tests/llm_responses_api_testing/base_responses_api.py b/tests/llm_responses_api_testing/base_responses_api.py index 407091a65b3..f5751aa79e8 100644 --- a/tests/llm_responses_api_testing/base_responses_api.py +++ b/tests/llm_responses_api_testing/base_responses_api.py @@ -338,7 +338,7 @@ class BaseResponsesAPITest(ABC): ) assert result is not None assert result.id == response.id - assert result.output == response.output + assert result.output_text == response.output_text else: raise ValueError("response is not a ResponsesAPIResponse") else: @@ -352,7 +352,7 @@ class BaseResponsesAPITest(ABC): ) assert result is not None assert result.id == response.id - assert result.output == response.output + assert result.output_text == response.output_text else: raise ValueError("response is not a ResponsesAPIResponse") diff --git a/tests/proxy_behavior/spend/test_autorouter_session_rollup.py b/tests/proxy_behavior/spend/test_autorouter_session_rollup.py index 65b70f13a3b..7bc61c40ea0 100644 --- a/tests/proxy_behavior/spend/test_autorouter_session_rollup.py +++ b/tests/proxy_behavior/spend/test_autorouter_session_rollup.py @@ -12,8 +12,10 @@ from typing import Final import pytest -from litellm.proxy.db.autorouter_session_rollup import UPSERT_AUTOROUTER_SESSION_SQL -from litellm.proxy.management_endpoints.auto_router_endpoints import _BENCHMARKS_SQL +from litellm.proxy.db.autorouter_session_rollup import ( + AUTOROUTER_BENCHMARKS_SQL, + UPSERT_AUTOROUTER_SESSION_SQL, +) pytestmark = pytest.mark.asyncio(loop_scope="session") @@ -164,7 +166,7 @@ async def test_the_benchmarks_aggregate_reads_only_overlapping_sessions(db): await _turn(db, key, "A", T0 - timedelta(days=40), session_id=out_of_window, router=router) rows = await db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, (T0 - timedelta(days=1)).isoformat(), (T0 + timedelta(days=1)).isoformat(), ) @@ -186,7 +188,7 @@ async def test_a_reconfigured_alias_reports_each_router_type_as_its_own_group(db await _turn(db, key, "A", T0 + timedelta(seconds=10), session_id=f"s-{uuid.uuid4()}", router=router, router_type="quality") rows = await db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, (T0 - timedelta(days=1)).isoformat(), (T0 + timedelta(days=1)).isoformat(), ) @@ -248,7 +250,7 @@ async def test_the_benchmarks_aggregate_sums_tier_turns_across_sessions(db): await _turn(db, key, "C", T0 + timedelta(seconds=30), session_id=f"s-{uuid.uuid4()}", router=router, tier=None) rows = await db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, (T0 - timedelta(days=1)).isoformat(), (T0 + timedelta(days=1)).isoformat(), ) @@ -275,7 +277,7 @@ async def test_tier_maps_stay_separate_per_router_type_on_a_reconfigured_alias(d ) rows = await db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, (T0 - timedelta(days=1)).isoformat(), (T0 + timedelta(days=1)).isoformat(), ) @@ -289,7 +291,7 @@ async def test_a_window_with_no_tiered_turns_aggregates_to_an_empty_map(db): await _turn(db, key, "A", T0, session_id=f"s-{uuid.uuid4()}", router=router, tier=None) rows = await db.query_raw( - _BENCHMARKS_SQL, + AUTOROUTER_BENCHMARKS_SQL, (T0 - timedelta(days=1)).isoformat(), (T0 + timedelta(days=1)).isoformat(), ) diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx index 513719a2ad9..50e10285148 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.test.tsx @@ -919,7 +919,7 @@ describe("TeamInfoView", () => { }); }; - it("prefills pairs from team metadata, hides UI-managed keys, and round-trips typed values on save", async () => { + it("should preserve metadata types and hide managed keys", async () => { const user = userEvent.setup({ delay: null }); vi.mocked(networking.teamInfoCall).mockResolvedValue( createMockTeamData({ @@ -964,27 +964,6 @@ describe("TeamInfoView", () => { expect(updateArg.model_tpm_limit).toEqual({ "gpt-4": 100 }); }); - it("includes a newly added pair in the team update", async () => { - const user = userEvent.setup({ delay: null }); - vi.mocked(networking.teamInfoCall).mockResolvedValue(createMockTeamData({ models: ["gpt-4"] })); - vi.mocked(networking.teamUpdateCall).mockResolvedValue({ data: {}, team_id: "123" } as any); - - renderWithProviders(); - await openSettingsEditor(user); - - await user.click(screen.getByRole("button", { name: /add key-value pair/i })); - await user.type(screen.getByPlaceholderText("Key"), "cost_center"); - await user.type(screen.getByPlaceholderText("Value"), "eng-1"); - - await user.click(screen.getByRole("button", { name: /save changes/i })); - - await waitFor(() => { - expect(networking.teamUpdateCall).toHaveBeenCalled(); - }); - - expect(vi.mocked(networking.teamUpdateCall).mock.calls[0][1].metadata).toMatchObject({ cost_center: "eng-1" }); - }); - it("should keep declared keys as ordinary prefilled rows and submit the edited value", async () => { const user = userEvent.setup({ delay: null }); vi.mocked(useTeamMetadataSchema).mockReturnValue({ diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index a75c23da1cf..2fc70883c5e 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -24313,7 +24313,7 @@ export interface components { * @description Default role assigned to new users created * @default internal_user_viewer */ - user_role: ("proxy_admin" | "proxy_admin_viewer" | "internal_user" | "internal_user_viewer") | null; + user_role: ("internal_user" | "internal_user_viewer" | "proxy_admin" | "proxy_admin_viewer") | null; }; /** * DefaultTeamSSOParams From cfd64d45a85fba07e83a5a734b6ab5b1bcc8af44 Mon Sep 17 00:00:00 2001 From: "devin-ai-integration[bot]" <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sat, 8 Aug 2026 19:28:57 +0000 Subject: [PATCH 046/120] fix(ui): show team BYOK models in team fallback settings (#36241) * fix(ui): show team BYOK models in team fallback settings Team router settings loaded fallback options from /model_group/info, which resolves models without a team, so a team's own BYOK deployments were never selectable in its own fallback config. Load the team-scoped listing when a team id is present. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(ui): ignore stale team model responses in router settings Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(ui): use react-query for fallback model listing in router settings accordion --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: ryan-crabbe-berri --- .../RouterSettingsAccordion.test.tsx | 71 +++++++++++++++++-- .../RouterSettingsAccordion.tsx | 27 +++---- .../llm_calls/fetch_models.test.tsx | 33 +++++++++ .../src/components/llm_calls/fetch_models.tsx | 12 +++- .../src/components/team/TeamInfo.tsx | 1 + 5 files changed, 118 insertions(+), 26 deletions(-) create mode 100644 ui/litellm-dashboard/src/components/llm_calls/fetch_models.test.tsx diff --git a/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.test.tsx b/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.test.tsx index a70b7602e5b..5ac3b8b2b64 100644 --- a/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.test.tsx +++ b/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.test.tsx @@ -1,7 +1,9 @@ -import { act, fireEvent, render, screen } from "@testing-library/react"; -import type { ReactNode } from "react"; +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; +import { act, fireEvent, render, screen, waitFor } from "@testing-library/react"; +import type { ReactElement, ReactNode } from "react"; import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"; import type { RouterSettingsFormValue } from "../router_settings/RouterSettingsForm"; +import { fetchAvailableModels, fetchAvailableModelsForTeam } from "@/components/llm_calls/fetch_models"; import RouterSettingsAccordion, { RouterSettingsAccordionValue } from "./RouterSettingsAccordion"; vi.mock("../networking", () => ({ @@ -9,11 +11,14 @@ vi.mock("../networking", () => ({ })); vi.mock("@/components/llm_calls/fetch_models", () => ({ - fetchAvailableModels: vi.fn().mockResolvedValue([]), + fetchAvailableModels: vi.fn().mockResolvedValue([{ model_group: "global-model" }]), + fetchAvailableModelsForTeam: vi.fn().mockResolvedValue([{ model_group: "openai/*" }, { model_group: "gpt-5" }]), })); vi.mock("../Settings/RouterSettings/Fallbacks/FallbackSelectionForm", () => ({ - FallbackSelectionForm: () => null, + FallbackSelectionForm: ({ availableModels }: { availableModels: string[] }) => ( +
{availableModels.join(",")}
+ ), })); vi.mock("@tremor/react", () => ({ @@ -39,9 +44,19 @@ vi.mock("../router_settings/RouterSettingsForm", () => ({ ), })); +const renderWithQueryClient = (ui: ReactElement) => { + const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } }); + return render(ui, { + wrapper: ({ children }: { children: ReactNode }) => ( + {children} + ), + }); +}; + describe("RouterSettingsAccordion", () => { beforeEach(() => { - vi.useFakeTimers(); + vi.clearAllMocks(); + vi.useFakeTimers({ shouldAdvanceTime: true }); }); afterEach(() => { @@ -58,7 +73,7 @@ describe("RouterSettingsAccordion", () => { it("debounces propagation and calls onChange once with the last value", async () => { const onChange = vi.fn<(value: RouterSettingsAccordionValue) => void>(); - render(); + renderWithQueryClient(); await flushInitialPropagation(onChange); fireEvent.click(screen.getByText("set-least-busy")); @@ -81,9 +96,51 @@ describe("RouterSettingsAccordion", () => { expect(onChange.mock.calls[0][0].router_settings.routing_strategy).toBe("usage-based-routing"); }); + it("offers the team's own models, including team-scoped BYOK ones, when a teamId is given", async () => { + renderWithQueryClient(); + + await waitFor(() => { + expect(screen.getByTestId("available-models")).toHaveTextContent("gpt-5,openai/*"); + }); + expect(fetchAvailableModelsForTeam).toHaveBeenCalledWith("test-token", "team-123"); + expect(fetchAvailableModels).not.toHaveBeenCalled(); + }); + + it("falls back to the proxy-wide model listing when no teamId is given", async () => { + renderWithQueryClient(); + + await waitFor(() => { + expect(screen.getByTestId("available-models")).toHaveTextContent("global-model"); + }); + expect(fetchAvailableModelsForTeam).not.toHaveBeenCalled(); + }); + + it("ignores a stale team's model response that resolves after a newer team was selected", async () => { + const resolvers: ((models: { model_group: string }[]) => void)[] = []; + vi.mocked(fetchAvailableModelsForTeam).mockImplementation( + () => new Promise((resolve) => resolvers.push(resolve)) as Promise<{ model_group: string }[]>, + ); + + const { rerender } = renderWithQueryClient(); + await waitFor(() => expect(resolvers).toHaveLength(1)); + + rerender(); + await waitFor(() => expect(resolvers).toHaveLength(2)); + + await act(async () => { + resolvers[1]([{ model_group: "fast-team-model" }]); + resolvers[0]([{ model_group: "slow-team-model" }]); + }); + + await waitFor(() => { + expect(screen.getByTestId("available-models")).toHaveTextContent("fast-team-model"); + }); + expect(screen.getByTestId("available-models")).not.toHaveTextContent("slow-team-model"); + }); + it("does not call onChange when unmounted mid-wait", async () => { const onChange = vi.fn<(value: RouterSettingsAccordionValue) => void>(); - const { unmount } = render(); + const { unmount } = renderWithQueryClient(); await flushInitialPropagation(onChange); fireEvent.click(screen.getByText("set-least-busy")); diff --git a/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.tsx b/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.tsx index 08b917e302f..56227abe9ea 100644 --- a/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.tsx +++ b/ui/litellm-dashboard/src/components/common_components/RouterSettingsAccordion.tsx @@ -1,12 +1,13 @@ import React, { useEffect, useState, useImperativeHandle, forwardRef, useRef } from "react"; import { TabPanel, TabPanels, TabGroup, TabList, Tab } from "@tremor/react"; +import { useQuery } from "@tanstack/react-query"; import { useDebouncedCallback } from "@tanstack/react-pacer/debouncer"; import { getRouterSettingsCall } from "../networking"; import RouterSettingsForm, { RouterSettingsFormValue } from "../router_settings/RouterSettingsForm"; import { Fallbacks } from "../Settings/RouterSettings/Fallbacks/AddFallbacks"; import { FallbackSelectionForm } from "../Settings/RouterSettings/Fallbacks/FallbackSelectionForm"; import { FallbackGroup } from "../Settings/RouterSettings/Fallbacks/FallbackGroupConfig"; -import { fetchAvailableModels, ModelGroup } from "@/components/llm_calls/fetch_models"; +import { fetchAvailableModels, fetchAvailableModelsForTeam, ModelGroup } from "@/components/llm_calls/fetch_models"; export interface RouterSettingsAccordionValue { router_settings: { @@ -30,6 +31,7 @@ interface RouterSettingsAccordionProps { value?: RouterSettingsAccordionValue; onChange?: (value: RouterSettingsAccordionValue) => void; modelData?: any; + teamId?: string | null; } export interface RouterSettingsAccordionRef { @@ -39,7 +41,7 @@ export interface RouterSettingsAccordionRef { const PROPAGATE_WAIT_MS = 100; const RouterSettingsAccordion = forwardRef( - ({ accessToken, value, onChange, modelData }, ref) => { + ({ accessToken, value, onChange, modelData, teamId }, ref) => { const [formValue, setFormValue] = useState({ routerSettings: {}, selectedStrategy: null, @@ -47,7 +49,6 @@ const RouterSettingsAccordion = forwardRef([]); const [fallbackGroups, setFallbackGroups] = useState([]); - const [modelInfo, setModelInfo] = useState([]); const [availableRoutingStrategies, setAvailableRoutingStrategies] = useState([]); const [routerFieldsMetadata, setRouterFieldsMetadata] = useState<{ [key: string]: any }>({}); const [routingStrategyDescriptions, setRoutingStrategyDescriptions] = useState<{ [key: string]: string }>({}); @@ -175,21 +176,11 @@ const RouterSettingsAccordion = forwardRef { - if (!accessToken) { - return; - } - const loadModels = async () => { - try { - const uniqueModels = await fetchAvailableModels(accessToken); - setModelInfo(uniqueModels); - } catch (error) { - console.error("Error fetching model info for fallbacks:", error); - } - }; - loadModels(); - }, [accessToken]); + const { data: modelInfo = [] } = useQuery({ + queryKey: ["fallbackAvailableModels", accessToken, teamId ?? null], + queryFn: () => (teamId ? fetchAvailableModelsForTeam(accessToken, teamId) : fetchAvailableModels(accessToken)), + enabled: Boolean(accessToken), + }); // Helper function to build router_settings from current state const buildRouterSettings = (): RouterSettingsAccordionValue["router_settings"] => { diff --git a/ui/litellm-dashboard/src/components/llm_calls/fetch_models.test.tsx b/ui/litellm-dashboard/src/components/llm_calls/fetch_models.test.tsx new file mode 100644 index 00000000000..bd691c7f629 --- /dev/null +++ b/ui/litellm-dashboard/src/components/llm_calls/fetch_models.test.tsx @@ -0,0 +1,33 @@ +import { beforeEach, describe, expect, it, vi } from "vitest"; +import { modelAvailableCall } from "@/components/networking"; +import { fetchAvailableModelsForTeam } from "./fetch_models"; + +vi.mock("@/components/networking", () => ({ + modelAvailableCall: vi.fn(), + modelHubCall: vi.fn(), +})); + +const modelAvailableCallMock = vi.mocked(modelAvailableCall); + +describe("fetchAvailableModelsForTeam", () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + it("requests the models scoped to the team so team-only BYOK models are included", async () => { + modelAvailableCallMock.mockResolvedValue({ + data: [{ id: "all-proxy-models" }, { id: "openai/*" }, { id: "gpt-5-mini" }, { id: "openai/*" }], + }); + + const models = await fetchAvailableModelsForTeam("token", "team-123"); + + expect(modelAvailableCallMock).toHaveBeenCalledWith("token", "", "", false, "team-123"); + expect(models).toEqual([{ model_group: "gpt-5-mini" }, { model_group: "openai/*" }]); + }); + + it("returns an empty list when the team has no models", async () => { + modelAvailableCallMock.mockResolvedValue({ data: [] }); + + expect(await fetchAvailableModelsForTeam("token", "team-123")).toEqual([]); + }); +}); diff --git a/ui/litellm-dashboard/src/components/llm_calls/fetch_models.tsx b/ui/litellm-dashboard/src/components/llm_calls/fetch_models.tsx index 0de98330c2e..a1690b1307e 100644 --- a/ui/litellm-dashboard/src/components/llm_calls/fetch_models.tsx +++ b/ui/litellm-dashboard/src/components/llm_calls/fetch_models.tsx @@ -1,12 +1,22 @@ // fetch_models.ts -import { modelHubCall } from "@/components/networking"; +import { excludeProxyWideSentinel } from "@/components/key_team_helpers/fetch_available_models_team_key"; +import { modelAvailableCall, modelHubCall } from "@/components/networking"; export interface ModelGroup { model_group: string; mode?: string; } +export const fetchAvailableModelsForTeam = async (accessToken: string, teamId: string): Promise => { + const response = await modelAvailableCall(accessToken, "", "", false, teamId); + const modelNames: string[] = (response?.data ?? []).map((model: { id: string }) => model.id); + + return excludeProxyWideSentinel(Array.from(new Set(modelNames))) + .sort((a, b) => a.localeCompare(b)) + .map((model) => ({ model_group: model })); +}; + /** * Fetches available models using modelHubCall and formats them for the selection dropdown. */ diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index e57bf59b2da..6c6fdcaedd6 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -1215,6 +1215,7 @@ const TeamInfoView: React.FC = ({ From 4150248095bd5a43e44d70c3b3d94eea74069611 Mon Sep 17 00:00:00 2001 From: Mateo Wang <277851410+mateo-berri@users.noreply.github.com> Date: Sat, 8 Aug 2026 12:38:23 -0700 Subject: [PATCH 047/120] chore: remove pre-commit rule some users do not use make pre-commit as it is a multi-minute process. I personally use it but I want users themselves to decide whether to pre-commit before each commit or not, based on what works best for them --- CLAUDE.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index abd5993eb1a..b0da2970fc8 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -41,9 +41,7 @@ Python max line length is 120, not 88 When you fix violations gated by `ruff-strict-budget.json`, `type-discipline-budget.json`, or `basedpyright-code-budget.json`, run `make lint-budget-update` and commit the lowered limits so the ceilings ratchet down instead of leaving stale headroom. It measures the working tree, so it must contain exactly the fixes you're committing -Run `make check` (formerly `make pre-commit`, which still works as an alias) before every commit, merge commits included. It runs the CI-gating lint scoped to your staged files, so stage everything you intend to commit first; it warns about changed files you left unstaged and names the checks that were skipped because of them. With nothing staged it instead checks the working tree's diff against the merge base with origin/litellm_internal_staging, which is how you predict the CI lint on an already-committed branch, e.g. right after a merge commit. Deleted files count toward which checks run (a deletion alone can turn CI red) in both modes - -`make check` saves its complete output to a log file in .git (overwriting previous logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice +`make check` (f.k.a. `make pre-commit`, which still works identically as an alias) saves its complete output to a log file in .git (overwriting previous logs) and prints that path as its first and last output lines. To inspect a run, read or grep that log instead of re-running the multi-minute checks just to see a different slice If you're trying to create a new function that relies on untyped stuff, instead of adding more Any's and pushing `reportAny` / `reportExplicitAny` closer to their basedpyright ceilings, just validate it in the caller with Pydantic (a model or `TypeAdapter` that returns the typed thing or raises will do) and then pass the now typed variable in From 12aeb53aec57b2967a50cb826bf0ef2167bc632c Mon Sep 17 00:00:00 2001 From: "devin-ai-integration[bot]" <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sat, 8 Aug 2026 12:40:00 -0700 Subject: [PATCH 048/120] fix(otel): mark v2 server spans as failed for pre-call errors (#34546) * fix(otel): mark v2 server spans as failed for pre-call errors (LIT-4780) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(otel): authenticate malformed-body requests before rejecting them (LIT-4780) Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(auth): cover malformed-body rejection when auth error is recovered Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(auth): skip authorization for a request whose body never parsed Deferring the parse failure ran the full auth phase, including budget reservation, whose reserved amount is only released by the endpoint's post call path; the endpoint never runs, so malformed requests leaked reservations and locked a budgeted key out. Authorization now runs only when the body parsed, and a parse failure with a rejected key keeps returning the 400 it returned before. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: shivam Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- litellm/integrations/otel/logger.py | 20 ++- litellm/proxy/auth/user_api_key_auth.py | 170 ++++++++++++------ .../integrations/otel/test_otel_v2_logger.py | 35 +++- .../proxy/auth/test_user_api_key_auth.py | 111 ++++++++++++ 4 files changed, 269 insertions(+), 67 deletions(-) diff --git a/litellm/integrations/otel/logger.py b/litellm/integrations/otel/logger.py index e273289168a..2c83406afed 100644 --- a/litellm/integrations/otel/logger.py +++ b/litellm/integrations/otel/logger.py @@ -33,6 +33,7 @@ from litellm.integrations.otel.model.payloads import ( is_mcp_list_tools, is_mcp_tool_call, ) +from litellm.integrations.otel.model.semconv import Error from litellm.integrations.otel.model.spans import SpanRole, span_role_for_service from litellm.integrations.otel.model.utils import to_ns from litellm.integrations.otel.plumbing.context import ( @@ -634,18 +635,23 @@ class OpenTelemetryV2(CustomLogger): """Stamp the v2 error.* attributes on the FastAPI-owned SERVER span for a failure that dies before any LLM-call span exists (malformed body, auth / validation rejection). Called from the proxy's global exception handler via - ``_close_dangling_otel_server_span``. The instrumentor still owns the span's - status and lifecycle, so this only decorates it — never sets status, never - ends it — and emits no exception event, matching v1's SERVER-span behavior - and avoiding a duplicate of the event ``async_post_call_failure_hook`` or - the ``auth`` phase span already records.""" + ``_close_dangling_otel_server_span``, which swallows the exception into a + ``JSONResponse`` so the instrumentor never sees it and leaves the span + ``UNSET``; the status is set here instead (v1 did the same from the handler) + so a failed request reads as failed and not merely as a span carrying an + error message. The instrumentor still owns the span's lifecycle, so this + never ends it. The exception event is recorded only when nothing stamped + this span already — ``async_post_call_failure_hook`` and the ``auth`` phase + span record their own, and a second event would duplicate it — while the + attributes are always restamped so ``error.code`` stays pinned to the real + response status.""" if span is None or not is_recordable_span(span): return + already_stamped: Final = Error.TYPE in (getattr(span, "attributes", None) or ()) stamp_error( span, _span_error_from_exception(exception, status_code=status_code), - record_event=False, - set_status=False, + record_event=not already_stamped, ) async def async_post_call_failure_hook( diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 9dc450befc2..4baa7b99a4f 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -1044,6 +1044,22 @@ def _ensure_parent_otel_span_on_request_state(request: Request) -> None: request.state.parent_otel_span = parent_otel_span +async def _read_request_body_deferring_parse_failure( + request: Request, +) -> tuple[dict, ProxyException | None]: + """Parse the body, returning a parse failure instead of raising it. + + A body that fails to parse is still a request from a known caller, so auth + must run (resolving identity onto the request's trace) before the 400 goes + out; the caller re-raises the returned exception once identity is seeded. + """ + try: + parsed_body: Final = await _read_request_body(request=request) + except ProxyException as parse_exception: + return {}, parse_exception # mutable-ok: request_data is a plain dict across the whole auth path + return populate_request_with_path_params(request_data=parsed_body, request=request), None + + async def _user_api_key_auth_builder( request: Request, api_key: str, @@ -2516,6 +2532,72 @@ def _resolve_request_principal(request: Request, valid_token: UserAPIKeyAuth) -> ) +async def _authorize_authenticated_request( + user_api_key_auth_obj: UserAPIKeyAuth, + request: Request, + request_data: dict, + route: str, + api_key: str, +) -> UserAPIKeyAuth | None: + """Authorize an already-authenticated request: disabled-route check, the single + ``common_checks`` gate (which also reserves budget), and end-user fallback + resolution. Returns the auth object the exception handler recovered when a check + failed but the request may proceed anyway, else ``None``. + """ + ## ENSURE DISABLE ROUTE WORKS ACROSS ALL USER AUTH FLOWS ## + RouteChecks.should_call_route(route=route, valid_token=user_api_key_auth_obj, request=request) + + # Single authorization point. Builder paths MUST NOT call common_checks. + # Route through the same exception handler the builder uses so + # authorization failures (ProxyException, or plain Exception from + # admin-only-route / model-access / budget checks) surface as + # ProxyException consistently with pre-refactor behavior. + try: + await _run_centralized_common_checks( + user_api_key_auth_obj=user_api_key_auth_obj, + request=request, + request_data=request_data, + route=route, + ) + except Exception as e: + return await UserAPIKeyAuthExceptionHandler._handle_authentication_error( + e=e, + request=request, + request_data=request_data, + route=route, + parent_otel_span=user_api_key_auth_obj.parent_otel_span, + api_key=api_key, + resolved_identity=user_api_key_auth_obj, + ) + + # Defense-in-depth: ``_user_api_key_auth_builder`` has multiple early-return + # paths (no master key, /user/auth route, JWT short-circuits) that bypass + # the end-user resolution block. If those paths produced an auth obj + # without an ``end_user_id`` set, fall back to extracting from the request + # body so spend logs are still attributed correctly. Validation honours + # ``litellm.validate_end_user_id_in_db``. + if user_api_key_auth_obj.end_user_id is None: + from litellm.proxy.proxy_server import ( + prisma_client, + proxy_logging_obj, + user_api_key_cache, + ) + + raw_end_user_id: Final = get_end_user_id_from_request_body(request_data, _safe_get_request_headers(request)) + if raw_end_user_id is not None: + resolved_end_user_id: Final = await resolve_and_validate_end_user_id( + raw_end_user_id=raw_end_user_id, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + parent_otel_span=user_api_key_auth_obj.parent_otel_span, + proxy_logging_obj=proxy_logging_obj, + route=route, + ) + if resolved_end_user_id is not None: + user_api_key_auth_obj.end_user_id = resolved_end_user_id + return None + + @tracer.wrap() async def user_api_key_auth( request: Request, @@ -2536,8 +2618,7 @@ async def user_api_key_auth( # close, and the trace never reaches the backend. _ensure_parent_otel_span_on_request_state(request) - request_data = await _read_request_body(request=request) - request_data = populate_request_with_path_params(request_data=request_data, request=request) + request_data, body_parse_exception = await _read_request_body_deferring_parse_failure(request=request) route: Final[str] = get_request_route(request=request) ## CHECK IF ROUTE IS ALLOWED @@ -2545,69 +2626,41 @@ async def user_api_key_auth( # triggers (key/user/team object reads) nest under it instead of flattening # onto the server span. No-op when OTel V2 isn't active. with phase_span(f"auth {route}"): - user_api_key_auth_obj: Final = await _user_api_key_auth_builder( - request=request, - api_key=api_key, - azure_api_key_header=azure_api_key_header, - anthropic_api_key_header=anthropic_api_key_header, - google_ai_studio_api_key_header=google_ai_studio_api_key_header, - azure_apim_header=azure_apim_header, - request_data=request_data, - custom_litellm_key_header=custom_litellm_key_header, - ) + try: + user_api_key_auth_obj: Final = await _user_api_key_auth_builder( + request=request, + api_key=api_key, + azure_api_key_header=azure_api_key_header, + anthropic_api_key_header=anthropic_api_key_header, + google_ai_studio_api_key_header=google_ai_studio_api_key_header, + azure_apim_header=azure_apim_header, + request_data=request_data, + custom_litellm_key_header=custom_litellm_key_header, + ) + except Exception: + # The body was read first, so a caller who sent both a malformed body and + # a rejected key used to get the 400; the response is unchanged, and the + # auth failure is still recorded on the trace by the handler that ran. + if body_parse_exception is not None: + raise body_parse_exception + raise user_api_key_auth_obj.budget_reservation = None - ## ENSURE DISABLE ROUTE WORKS ACROSS ALL USER AUTH FLOWS ## - RouteChecks.should_call_route(route=route, valid_token=user_api_key_auth_obj, request=request) - - # Single authorization point. Builder paths MUST NOT call common_checks. - # Route through the same exception handler the builder uses so - # authorization failures (ProxyException, or plain Exception from - # admin-only-route / model-access / budget checks) surface as - # ProxyException consistently with pre-refactor behavior. - try: - await _run_centralized_common_checks( + # A body that never parsed is authenticated (so the trace carries identity + # and this ``auth`` span) but not authorized: there is no model to check it + # against, and budget reservation would increment live spend counters that + # only the endpoint's post-call path releases; the endpoint never runs, since + # the parse failure is raised below. + if body_parse_exception is None: + recovered_auth_obj: Final = await _authorize_authenticated_request( user_api_key_auth_obj=user_api_key_auth_obj, request=request, request_data=request_data, route=route, - ) - except Exception as e: - return await UserAPIKeyAuthExceptionHandler._handle_authentication_error( - e=e, - request=request, - request_data=request_data, - route=route, - parent_otel_span=user_api_key_auth_obj.parent_otel_span, api_key=api_key, - resolved_identity=user_api_key_auth_obj, ) - - # Defense-in-depth: ``_user_api_key_auth_builder`` has multiple early-return - # paths (no master key, /user/auth route, JWT short-circuits) that bypass - # the end-user resolution block. If those paths produced an auth obj - # without an ``end_user_id`` set, fall back to extracting from the request - # body so spend logs are still attributed correctly. Validation honours - # ``litellm.validate_end_user_id_in_db``. - if user_api_key_auth_obj.end_user_id is None: - from litellm.proxy.proxy_server import ( - prisma_client, - proxy_logging_obj, - user_api_key_cache, - ) - - raw_end_user_id: Final = get_end_user_id_from_request_body(request_data, _safe_get_request_headers(request)) - if raw_end_user_id is not None: - resolved_end_user_id: Final = await resolve_and_validate_end_user_id( - raw_end_user_id=raw_end_user_id, - prisma_client=prisma_client, - user_api_key_cache=user_api_key_cache, - parent_otel_span=user_api_key_auth_obj.parent_otel_span, - proxy_logging_obj=proxy_logging_obj, - route=route, - ) - if resolved_end_user_id is not None: - user_api_key_auth_obj.end_user_id = resolved_end_user_id + if recovered_auth_obj is not None: + return recovered_auth_obj # Identity is now resolved. Seed it AFTER the auth span closes so the Baggage # persists on the request task (detaching the span's context token inside the @@ -2619,6 +2672,9 @@ async def user_api_key_auth( ) user_api_key_auth_obj.request_route = normalize_request_route(route) + if body_parse_exception is not None: + raise body_parse_exception + # Resolve caller identity once, here at the seam, into a single per-request # Principal projected off the key object the builder already fetched (no # second lookup). Downstream consumers read identity off this instead of diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py index 2573ad5a375..82b074220fa 100644 --- a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py +++ b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py @@ -1195,8 +1195,13 @@ def test_async_post_call_failure_hook_skips_a_transport_that_already_answered(): def test_record_error_attributes_on_span_decorates_without_ending(): """PATH A: a failure that dies before any LLM-call span (malformed body, validation) is stamped onto the instrumentor-owned SERVER span. The method must - not end the span or emit a duplicate exception event, and must pin error.code - to the real response status (not the exception's own code).""" + not end the span, and must pin error.code to the real response status (not the + exception's own code). + + LIT-4780: the instrumentor never sees the exception (the proxy handler turns it + into a JSONResponse), so nothing else marks the span as failed; the status and + the exception event have to come from here or the trace shows the error message + on an otherwise successful-looking request.""" logger, exporter = _logger() server = logger._emitter.start_span(SpanRole.PROXY_REQUEST, LITELLM_PROXY_REQUEST_SPAN_NAME) logger.record_error_attributes_on_span(server, _proxy_exc("Invalid JSON body", 400), 422) @@ -1206,7 +1211,31 @@ def test_record_error_attributes_on_span_decorates_without_ending(): assert span.attributes["error.type"] == "ProxyException" assert span.attributes["error.message"] == "Invalid JSON body" assert span.attributes["litellm.provider.error.code"] == "422" - assert all(e.name != "exception" for e in span.events) + assert span.status.status_code is StatusCode.ERROR + assert [e.name for e in span.events] == ["exception"] + + +def test_record_error_attributes_on_span_does_not_duplicate_an_already_stamped_error(): + """A failure that already went through ``async_post_call_failure_hook`` reaches + the exception handler too; the second stamp must keep one exception event while + still repinning error.code to the real response status.""" + from litellm.proxy._types import UserAPIKeyAuth + + logger, exporter = _logger() + server = logger._emitter.start_span(SpanRole.PROXY_REQUEST, LITELLM_PROXY_REQUEST_SPAN_NAME) + set_request_root_span(server) + exc = _proxy_exc("Authentication Error, invalid key", 401) + asyncio.run( + logger.async_post_call_failure_hook( + request_data={}, original_exception=exc, user_api_key_dict=UserAPIKeyAuth() + ) + ) + logger.record_error_attributes_on_span(server, exc, 400) + server.end() + (span,) = exporter.get_finished_spans() + assert [e.name for e in span.events] == ["exception"] + assert span.attributes["litellm.provider.error.code"] == "400" + assert span.status.status_code is StatusCode.ERROR def test_record_error_attributes_on_span_ignores_below_400_and_missing_span(): diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index 6fc44ef7519..60d9689dc0b 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -4786,6 +4786,117 @@ async def test_user_api_key_auth_does_not_overwrite_end_user_id_set_by_builder() setattr(_proxy_server_mod, k, v) +@pytest.mark.asyncio +async def test_user_api_key_auth_authenticates_before_raising_malformed_body_error(): + """Regression (LIT-4780): a body that fails to parse must still be authenticated + first, so the rejected request's trace carries the caller's key / team / user + identity instead of an anonymous root span. The parse error is re-raised + unchanged once identity is seeded.""" + from fastapi import Request + from starlette.datastructures import URL + + import litellm.proxy.proxy_server as _proxy_server_mod + + builder_token = UserAPIKeyAuth(api_key="sk-test", user_id="u1", team_id="team-1") + + request = Request( + scope={ + "type": "http", + "headers": [(b"content-type", b"application/json")], + "method": "POST", + } + ) + request._url = URL(url="/chat/completions") + request._body = b'{}{"model": "gpt-4o"}' + + attrs = _proxy_attrs_for_centralized_checks(user_custom_auth=None) + originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs} + try: + for k, v in attrs.items(): + setattr(_proxy_server_mod, k, v) + with ( + patch( + "litellm.proxy.auth.user_api_key_auth._user_api_key_auth_builder", + new_callable=AsyncMock, + return_value=builder_token, + ) as mock_builder, + patch( + "litellm.proxy.auth.user_api_key_auth._run_centralized_common_checks", + new_callable=AsyncMock, + ) as mock_common_checks, + patch( + "litellm.proxy.auth.user_api_key_auth.RouteChecks.should_call_route", + ), + patch( + "litellm.proxy.auth.user_api_key_auth.seed_request_identity", + ) as mock_seed, + ): + with pytest.raises(ProxyException) as exc_info: + await user_api_key_auth(request=request, api_key="Bearer sk-test") + + assert "Invalid JSON payload" in str(exc_info.value.message) + assert exc_info.value.code == str(status.HTTP_400_BAD_REQUEST) + mock_builder.assert_awaited_once() + assert mock_seed.call_args.args[0] is builder_token + # authorization must not run for a request that is about to be rejected: + # ``common_checks`` reserves budget against live spend counters that only the + # endpoint's post-call path releases, and the endpoint never runs here + mock_common_checks.assert_not_awaited() + finally: + for k, v in originals.items(): + setattr(_proxy_server_mod, k, v) + + +@pytest.mark.asyncio +async def test_user_api_key_auth_malformed_body_with_rejected_key_still_returns_the_parse_error(): + """The body is read before the key is authenticated, so a caller who sends both a + malformed body and a key that fails auth gets the 400. Authenticating the request + first (LIT-4780) must not turn that into the auth status code.""" + from fastapi import Request + from starlette.datastructures import URL + + import litellm.proxy.proxy_server as _proxy_server_mod + + request = Request( + scope={ + "type": "http", + "headers": [(b"content-type", b"application/json")], + "method": "POST", + } + ) + request._url = URL(url="/chat/completions") + request._body = b'{}{"model": "gpt-4o"}' + + attrs = _proxy_attrs_for_centralized_checks(user_custom_auth=None) + originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs} + try: + for k, v in attrs.items(): + setattr(_proxy_server_mod, k, v) + with ( + patch( + "litellm.proxy.auth.user_api_key_auth._user_api_key_auth_builder", + new_callable=AsyncMock, + side_effect=ProxyException( + message="Authentication Error, invalid key", + type="auth_error", + param="None", + code=status.HTTP_401_UNAUTHORIZED, + ), + ), + patch( + "litellm.proxy.auth.user_api_key_auth.RouteChecks.should_call_route", + ), + ): + with pytest.raises(ProxyException) as exc_info: + await user_api_key_auth(request=request, api_key="Bearer sk-bad") + + assert "Invalid JSON payload" in str(exc_info.value.message) + assert exc_info.value.code == str(status.HTTP_400_BAD_REQUEST) + finally: + for k, v in originals.items(): + setattr(_proxy_server_mod, k, v) + + def _proxy_attrs_for_db_lookup(): """Minimal proxy_server attributes for driving the real ``_user_api_key_auth_builder`` down to the DB key lookup.""" From 1a40a673942a52830155a8d414c046a4f9376223 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Sat, 8 Aug 2026 12:54:23 -0700 Subject: [PATCH 049/120] fix: stabilize generated user role ordering --- litellm/proxy/_types.py | 4 ++-- ui/litellm-dashboard/src/lib/http/schema.d.ts | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 1fc05ac4653..fa89df39c5f 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -4557,10 +4557,10 @@ class DefaultInternalUserParams(LiteLLMPydanticObjectBase): user_role: ( Literal[ - LitellmUserRoles.INTERNAL_USER, - LitellmUserRoles.INTERNAL_USER_VIEW_ONLY, LitellmUserRoles.PROXY_ADMIN, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + LitellmUserRoles.INTERNAL_USER, + LitellmUserRoles.INTERNAL_USER_VIEW_ONLY, ] | None ) = Field( diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index 2fc70883c5e..a75c23da1cf 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -24313,7 +24313,7 @@ export interface components { * @description Default role assigned to new users created * @default internal_user_viewer */ - user_role: ("internal_user" | "internal_user_viewer" | "proxy_admin" | "proxy_admin_viewer") | null; + user_role: ("proxy_admin" | "proxy_admin_viewer" | "internal_user" | "internal_user_viewer") | null; }; /** * DefaultTeamSSOParams From ff5f8132d178ee700d23bff3e97d639ea5027cbd Mon Sep 17 00:00:00 2001 From: mateo Date: Sat, 8 Aug 2026 19:55:37 +0000 Subject: [PATCH 050/120] docs: clarify guideline priority ordering in CLAUDE.md Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- CLAUDE.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CLAUDE.md b/CLAUDE.md index b0da2970fc8..f1bb46c1fd3 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -9,7 +9,7 @@ Don't assume that the existing code is correct or the right way of doing things - easy to maintain/change - modern -In that order of importance +In descending order of importance When adding new features, add meaningful tests. Don't add tests that don't check anything substantial and is there just to make the code coverage pass. Yes, code coverage is important, but I'd rather have no signal whether the code is working than tests that don't fail when code is broken. The goal is to have tests that would fail before the feature was added/if the code was mutated in a way that breaks the feature and succeed only when the feature is fully working. I should run mutation testing and see > 90% kill rate From e35ee4e5fa3e25a5f750fa0ee23525a8277a4f62 Mon Sep 17 00:00:00 2001 From: tin-berri Date: Sat, 8 Aug 2026 13:02:29 -0700 Subject: [PATCH 051/120] feat(router): independent, default-on deployment affinity for the auto-router (#36146) --- litellm/constants.py | 1 + litellm/proxy/common_utils/callback_utils.py | 3 +- litellm/proxy/litellm_pre_call_utils.py | 2 + litellm/router.py | 96 ++-- .../complexity_router/complexity_router.py | 50 +- .../complexity_router/config.py | 30 +- .../deployment_affinity_check.py | 266 ++++++++--- litellm/types/router.py | 1 + .../proxy/test_litellm_pre_call_utils.py | 2 + .../router_strategy/test_complexity_router.py | 97 ++++ .../test_deployment_affinity_check.py | 9 +- .../test_session_id_affinity.py | 441 +++++++++++++++++- tests/test_litellm/test_router.py | 65 +++ type-discipline-budget.json | 2 +- ui/litellm-dashboard/src/lib/http/schema.d.ts | 10 +- 15 files changed, 964 insertions(+), 111 deletions(-) diff --git a/litellm/constants.py b/litellm/constants.py index 30d3bb1f26e..3b91f23fe39 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -1322,6 +1322,7 @@ X_LITELLM_DISABLE_CALLBACKS: Final = "x-litellm-disable-callbacks" LITELLM_METADATA_FIELD: Final = "litellm_metadata" OLD_LITELLM_METADATA_FIELD: Final = "metadata" RETURN_RAW_MODEL_NAME_METADATA_KEY: Final = "_complexity_router_return_raw_model_name" +SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: Final = "_session_deployment_affinity_ttl" INTERNAL_CALL_ORIGIN_METADATA_KEY: Final = "internal_call_origin" LITELLM_TRUNCATED_PAYLOAD_FIELD: Final = "litellm_truncated" LITELLM_TRUNCATION_DB_SAFEGUARD_NOTE: Final = ( diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py index 22200567012..fbf28e223c1 100644 --- a/litellm/proxy/common_utils/callback_utils.py +++ b/litellm/proxy/common_utils/callback_utils.py @@ -6,7 +6,7 @@ from typing import TYPE_CHECKING, Any, Final, Optional import litellm from litellm import get_secret from litellm._logging import verbose_proxy_logger -from litellm.constants import PRE_CALL_EXECUTED_GUARDRAILS_KEY +from litellm.constants import PRE_CALL_EXECUTED_GUARDRAILS_KEY, SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY from litellm.integrations.custom_logger import CustomLogger from litellm.litellm_core_utils.core_helpers import ( get_metadata_variable_name_from_kwargs, @@ -425,6 +425,7 @@ LITELLM_PROXY_INTERNAL_METADATA_KEYS: Final = frozenset( "_guardrail_pipelines", "_pipeline_managed_guardrails", PRE_CALL_EXECUTED_GUARDRAILS_KEY, + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, "disable_global_guardrails", "disable_global_guardrail", "opted_out_global_guardrails", diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 83ae59ef050..c48fee96646 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -18,6 +18,7 @@ from litellm.constants import ( INTERNAL_CALL_ORIGIN_METADATA_KEY, LITELLM_PROXY_MASTER_KEY_ALIAS, PRE_CALL_EXECUTED_GUARDRAILS_KEY, + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, ) from litellm.litellm_core_utils.credential_accessor import CredentialAccessor from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( @@ -226,6 +227,7 @@ _UNTRUSTED_METADATA_CONTROL_FIELDS: Final = ( "applied_policies", "policy_sources", "routing_decision", + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, INTERNAL_CALL_ORIGIN_METADATA_KEY, "standard_logging_object", "proxy_server_request", diff --git a/litellm/router.py b/litellm/router.py index 1a76eb5d59b..feaf69a44ae 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -46,6 +46,7 @@ from litellm.constants import ( DEFAULT_HEALTH_CHECK_INTERVAL, DEFAULT_HEALTH_CHECK_STALENESS_MULTIPLIER, DEFAULT_MAX_LRU_CACHE_SIZE, + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, ) from litellm.integrations.custom_logger import CustomLogger from litellm.litellm_core_utils.asyncify import run_async_function @@ -135,6 +136,7 @@ from litellm.router_utils.handle_error import ( from litellm.router_utils.health_state_cache import DeploymentHealthCache from litellm.router_utils.pre_call_checks.deployment_affinity_check import ( DeploymentAffinityCheck, + warn_on_unknown_model_group_affinity_flags, ) from litellm.router_utils.pre_call_checks.io_token_rate_limit_check import ( build_io_token_rate_limit_headers, @@ -603,6 +605,10 @@ class Router: # ``litellm.proxy.auth.auth_checks._is_model_cost_zero``. self._zero_cost_cache: dict[str, bool] = {} + self.deployment_affinity_ttl_seconds = deployment_affinity_ttl_seconds + self.model_group_affinity_config = model_group_affinity_config + warn_on_unknown_model_group_affinity_flags(model_group_affinity_config) + if model_list is not None: # set_model_list will build indices automatically self.set_model_list(model_list) @@ -744,7 +750,6 @@ class Router: litellm.failure_callback = [self.deployment_callback_on_failure] self.routing_strategy_args = routing_strategy_args self.provider_budget_config = provider_budget_config - self.deployment_affinity_ttl_seconds = deployment_affinity_ttl_seconds self.router_budget_logger: RouterBudgetLimiting | None = None if RouterBudgetLimiting.should_init_router_budget_limiter( model_list=model_list, provider_budget_config=self.provider_budget_config @@ -766,7 +771,6 @@ class Router: ) self.model_group_retry_policy: dict[str, RetryPolicy] | None = model_group_retry_policy - self.model_group_affinity_config: dict[str, list[str]] | None = model_group_affinity_config self.allowed_fails_policy: AllowedFailsPolicy | None = None if allowed_fails_policy is not None: @@ -789,21 +793,8 @@ class Router: # If model_group_affinity_config is set but no global affinity checks were # enabled, we still need the DeploymentAffinityCheck callback (with global # flags all False) so per-group config can activate affinity per model group. - if self.model_group_affinity_config and not any( - isinstance(cb, DeploymentAffinityCheck) for cb in (self.optional_callbacks or []) - ): - if self.optional_callbacks is None: - self.optional_callbacks = [] - affinity_callback: Final = DeploymentAffinityCheck( - cache=self.cache, - ttl_seconds=self.deployment_affinity_ttl_seconds, - enable_user_key_affinity=False, - enable_responses_api_affinity=False, - enable_session_id_affinity=False, - model_group_affinity_config=self.model_group_affinity_config, - ) - self.optional_callbacks.append(affinity_callback) - litellm.logging_callback_manager.add_litellm_callback(affinity_callback) + if self.model_group_affinity_config: + self._ensure_deployment_affinity_callback() if self.alerting_config is not None: self._initialize_alerting() @@ -1662,6 +1653,28 @@ class Router: _move_before_deployment_affinity(self.optional_callbacks, ec_callback) _move_before_deployment_affinity(litellm.callbacks, ec_callback) + def _ensure_deployment_affinity_callback(self) -> None: + """Register the DeploymentAffinityCheck callback (global flags all False) if absent. + + Needed when nothing enabled a global affinity flag but affinity can still + activate per request: per-group `model_group_affinity_config` entries, or the + session-affinity marker a complexity router stamps at pre-routing time. + """ + if any(isinstance(cb, DeploymentAffinityCheck) for cb in (self.optional_callbacks or [])): + return + if self.optional_callbacks is None: + self.optional_callbacks = [] + affinity_callback: Final = DeploymentAffinityCheck( + cache=self.cache, + ttl_seconds=self.deployment_affinity_ttl_seconds, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + enable_session_id_affinity=False, + model_group_affinity_config=self.model_group_affinity_config, + ) + self.optional_callbacks.append(affinity_callback) + litellm.logging_callback_manager.add_litellm_callback(affinity_callback) + def add_optional_pre_call_checks(self, optional_pre_call_checks: OptionalPreCallChecks | None): if optional_pre_call_checks is None: return @@ -7683,6 +7696,8 @@ class Router: strategy=complexity_router, strategy_label="Complexity-router", ) + if complexity_router._uses_deployment_pin: + self._ensure_deployment_affinity_callback() def _is_adaptive_router_deployment(self, litellm_params: LiteLLM_Params) -> bool: """True when this deployment opts in via the `auto_router/adaptive_router` model prefix.""" @@ -11190,6 +11205,9 @@ class Router: router_strategy: Final = self._select_pre_routing_strategy(model=model, request_kwargs=request_kwargs) if router_strategy is None: self._record_routing_decision(request_kwargs=request_kwargs, routing_decision=None) + self._stamp_or_clear_metadata_key( + request_kwargs=request_kwargs, key=SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, value=None + ) return None pre_routing_hook_response: Final = await router_strategy.async_pre_routing_hook( @@ -11203,6 +11221,11 @@ class Router: request_kwargs=request_kwargs, routing_decision=(pre_routing_hook_response.routing_decision if pre_routing_hook_response else None), ) + self._stamp_or_clear_metadata_key( + request_kwargs=request_kwargs, + key=SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, + value=(pre_routing_hook_response.session_affinity_ttl_seconds if pre_routing_hook_response else None), + ) # `model` (the alias, e.g. "smart-router") is never the deployment actually # called - apply the alias's own litellm_params (besides `model` itself, @@ -11234,21 +11257,40 @@ class Router: to the deployment that actually served the request. Every attempt therefore writes or clears, never just writes. """ - if routing_decision is None: + Router._stamp_or_clear_metadata_key( + request_kwargs=request_kwargs, + key="routing_decision", + value=( + None + if routing_decision is None + else Router._redact_prompt_text_if_needed( + request_kwargs=request_kwargs, routing_decision=routing_decision + ) + ), + ) + + @staticmethod + def _stamp_or_clear_metadata_key(request_kwargs: dict, key: str, value: object | None) -> None: + """Write a proxy-internal metadata key for THIS routing attempt, or clear it. + + Fallbacks and retries re-enter the pre-routing hook with the same + `request_kwargs`, so every attempt must write or clear, never just write; + a value left behind by an earlier attempt would be attributed to this one. + `get_or_create_metadata_bucket` is the single owner of "which dict holds + proxy-internal metadata": it picks `litellm_metadata` when present (so the + value never lands in the `metadata` dict that routes like /v1/messages + forward to the provider) and replaces a non-dict value rather than silently + skipping the write. Clearing pops from BOTH buckets so a request whose + bucket resolution changed between attempts cannot resurrect a stale value. + """ + if value is None: for bucket in (request_kwargs.get("metadata"), request_kwargs.get("litellm_metadata")): if isinstance(bucket, dict): - bucket.pop("routing_decision", None) + bucket.pop(key, None) return - # `get_or_create_metadata_bucket` is the single owner of "which dict holds - # proxy-internal metadata": it picks `litellm_metadata` when present (so the - # decision never lands in the `metadata` dict that routes like /v1/messages - # forward to the provider) and replaces a non-dict value rather than silently - # skipping the write. _, metadata_bucket = get_or_create_metadata_bucket(request_kwargs) - metadata_bucket["routing_decision"] = Router._redact_prompt_text_if_needed( - request_kwargs=request_kwargs, routing_decision=routing_decision - ) + metadata_bucket[key] = value @staticmethod def _redact_prompt_text_if_needed( diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py index f6ced0bb9d2..32d252f3f68 100644 --- a/litellm/router_strategy/complexity_router/complexity_router.py +++ b/litellm/router_strategy/complexity_router/complexity_router.py @@ -1651,6 +1651,28 @@ class ComplexityRouter(CustomLogger): caller_scope: Final = self._get_user_api_key_hash_from_request_kwargs(request_kwargs) or "unscoped" return f"complexity_router_session_affinity:v1:{self.model_name}:{caller_scope}:{session_id}" + @property + def _uses_tier_pin(self) -> bool: + return bool(self.config.session_affinity and not self.config.plugins) + + @property + def _uses_deployment_pin(self) -> bool: + """session_affinity implies the deployment pin: a session frozen onto one model + group but load-balanced across its deployments would still go cache-cold, which + is the exact failure both flags exist to prevent.""" + return bool((self.config.deployment_affinity or self.config.session_affinity) and not self.config.plugins) + + def _with_session_deployment_affinity( + self, response: PreRoutingHookResponse | None + ) -> PreRoutingHookResponse | None: + if response is None or not self._uses_deployment_pin: + return response + return response.model_copy( + update={ # mutable-ok: model_copy types update as a plain dict + "session_affinity_ttl_seconds": self.config.session_affinity_ttl_seconds + } + ) + async def async_pre_routing_hook( self, model: str, @@ -1685,7 +1707,7 @@ class ComplexityRouter(CustomLogger): resolved_messages: Final = self._resolve_messages(messages, request_kwargs) conversation_continuing: Final = _conversation_is_continuing(resolved_messages) - use_session_affinity: Final = self.config.session_affinity and not self.config.plugins + use_session_affinity: Final = self._uses_tier_pin session_id: Final = self._get_session_id_from_request_kwargs(request_kwargs) if use_session_affinity else None cache_key = self._get_session_affinity_cache_key(session_id, request_kwargs) if session_id is not None else None @@ -1724,17 +1746,19 @@ class ComplexityRouter(CustomLogger): "ComplexityRouter: routing decision cause=%s, routed_model=%s", cause, routed_model ) has_original_messages: Final = messages is not None and len(messages) > 0 - return PreRoutingHookResponse( - model=routed_model, - messages=messages if has_original_messages else None, - routing_decision=self._build_routing_decision( - routed_model=routed_model, - cause=cause, - tier=self._tier_for_model(routed_model), - escalation_keyword=pin_escalation_keyword, - escalated=escalated, - conversation_continuing=conversation_continuing, - ), + return self._with_session_deployment_affinity( + PreRoutingHookResponse( + model=routed_model, + messages=messages if has_original_messages else None, + routing_decision=self._build_routing_decision( + routed_model=routed_model, + cause=cause, + tier=self._tier_for_model(routed_model), + escalation_keyword=pin_escalation_keyword, + escalated=escalated, + conversation_continuing=conversation_continuing, + ), + ) ) response: Final = await self._classify_and_route( @@ -1752,7 +1776,7 @@ class ComplexityRouter(CustomLogger): value=response.model, ttl=self.config.session_affinity_ttl_seconds, ) - return response + return self._with_session_deployment_affinity(response) async def _classify_and_route( self, diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py index 69609a973b0..0999af66fd8 100644 --- a/litellm/router_strategy/complexity_router/config.py +++ b/litellm/router_strategy/complexity_router/config.py @@ -508,13 +508,39 @@ class ComplexityRouterConfig(BaseModel): "session's first turn and reuse it for every later turn, skipping re-classification. " "Off by default so every turn is classified on its own merits and routed to the cheapest " "adequate tier. Set True to keep a multi-turn session on one model, which preserves " - "provider prompt caches and avoids cross-model conversation-history errors." + "provider prompt caches and avoids cross-model conversation-history errors. Always " + "implies the deployment pin regardless of deployment_affinity: the session sticks to " + "one deployment of the pinned model, since freezing the model while re-shuffling its " + "deployments would still go cache-cold." + ), + ) + deployment_affinity: bool = Field( + default=True, + description=( + "When True and a session_id is resolvable on the request, pin the deployment chosen " + "inside each routed model group and reuse it whenever the session returns to that " + "group, without pinning which group the session routes to. Independent of " + "session_affinity, which pins the model group instead (and always carries this " + "deployment pin with it): with session_affinity off, " + "every turn is still classified on its own merits while a session that escalates to a " + "stronger tier and comes back still lands on the deployment it used before, which is " + "what keeps a provider prompt cache warm. Pins are held per model group, so switching " + "tiers does not disturb the pin left behind in the previous group. On by default " + "because re-shuffling a conversation across deployments of the same model discards " + "that cache for no benefit; set False to keep every turn load-balanced across the " + "group, which is what a deployment set with tight per-deployment rate limits wants. " + "Inert when no session_id is resolvable, since there is nothing to key a pin on, and " + "suppressed when plugins are configured, for the same reason session_affinity is." ), ) session_affinity_ttl_seconds: int = Field( default=3600, gt=0, - description="TTL for the session affinity pin; refreshed on every cache hit", + description=( + "TTL for the session affinity pin; refreshed on every cache hit. Bounds both the " + "session_affinity model pin and the deployment_affinity deployment pin, so it measures " + "idle time for the session's routing decisions rather than total session length" + ), ) plugins: list[RoutingPlugin] | None = Field( diff --git a/litellm/router_utils/pre_call_checks/deployment_affinity_check.py b/litellm/router_utils/pre_call_checks/deployment_affinity_check.py index b4408d17ffb..7fb90ab89de 100644 --- a/litellm/router_utils/pre_call_checks/deployment_affinity_check.py +++ b/litellm/router_utils/pre_call_checks/deployment_affinity_check.py @@ -13,12 +13,15 @@ where routing to a consistent deployment is still beneficial. """ import hashlib +import json +from collections.abc import Mapping, Sequence from typing import Any, Final, cast from typing_extensions import TypedDict from litellm._logging import verbose_router_logger from litellm.caching.dual_cache import DualCache +from litellm.constants import SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY from litellm.integrations.custom_logger import CustomLogger, Span from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.llms.openai import AllMessageValues @@ -29,6 +32,47 @@ class DeploymentAffinityCacheValue(TypedDict): model_id: str +VALID_MODEL_GROUP_AFFINITY_FLAGS: Final = frozenset( + { + "deployment_affinity", + "responses_api_deployment_check", + "session_affinity", + "encrypted_content_affinity", + } +) + + +def warn_on_unknown_model_group_affinity_flags(model_group_affinity_config: Mapping[str, Sequence[str]] | None) -> None: + """`model_group_affinity_config` is one Router-level config consumed by two callbacks: + DeploymentAffinityCheck acts on three of the flags and EncryptedContentAffinityCheck + on the fourth, so typo detection lives here at the schema, not inside either consumer. + """ + if model_group_affinity_config is None: + return + for group, flags in model_group_affinity_config.items(): + unknown = set(flags) - VALID_MODEL_GROUP_AFFINITY_FLAGS + if unknown: + verbose_router_logger.warning( + "model_group_affinity_config: unknown flag(s) %s for model group '%s'; will be ignored. Valid flags: %s", + unknown, + group, + VALID_MODEL_GROUP_AFFINITY_FLAGS, + ) + + +_CLAIM_PIN_SCRIPT: Final = """ +local current = redis.call('GET', KEYS[1]) +if current == false then + redis.call('SET', KEYS[1], ARGV[1], 'EX', ARGV[2]) + return ARGV[1] +end +if current == ARGV[1] then + redis.call('EXPIRE', KEYS[1], ARGV[2]) +end +return current +""" + + class DeploymentAffinityCheck(CustomLogger): """ Router deployment affinity callback. @@ -38,14 +82,6 @@ class DeploymentAffinityCheck(CustomLogger): """ CACHE_KEY_PREFIX = "deployment_affinity:v1" - VALID_FLAGS = frozenset( - { - "deployment_affinity", - "responses_api_deployment_check", - "session_affinity", - "encrypted_content_affinity", - } - ) def __init__( self, @@ -63,15 +99,6 @@ class DeploymentAffinityCheck(CustomLogger): self.enable_responses_api_affinity = enable_responses_api_affinity self.enable_session_id_affinity = enable_session_id_affinity self.model_group_affinity_config: dict[str, list[str]] = model_group_affinity_config or {} - for group, flags in self.model_group_affinity_config.items(): - unknown = set(flags) - self.VALID_FLAGS - if unknown: - verbose_router_logger.warning( - "DeploymentAffinityCheck: unknown flag(s) %s for model group '%s'; will be ignored. Valid flags: %s", - unknown, - group, - self.VALID_FLAGS, - ) def _get_effective_flags(self, model_group: str) -> tuple[bool, bool, bool]: """ @@ -218,8 +245,13 @@ class DeploymentAffinityCheck(CustomLogger): return f"{cls.CACHE_KEY_PREFIX}:{model_group}:{hashed_user_key}" @classmethod - def get_session_affinity_cache_key(cls, model_group: str, session_id: str) -> str: - return f"{cls.CACHE_KEY_PREFIX}:session:{model_group}:{session_id}" + def get_session_affinity_cache_key(cls, model_group: str, session_id: str, user_key: str | None) -> str: + """Session pins are scoped by the caller's hashed API key so two callers reusing + the same client-supplied session_id cannot read or steer each other's pin. + `"unscoped"` covers direct Router usage with no authenticated caller, matching + the complexity router's own session pin key.""" + hashed_user_key: Final = cls._hash_user_key(user_key) if user_key is not None else "unscoped" + return f"{cls.CACHE_KEY_PREFIX}:session:{model_group}:{hashed_user_key}:{session_id}" @staticmethod def _get_user_key_from_metadata_dict(metadata: dict) -> str | None: @@ -278,6 +310,97 @@ class DeploymentAffinityCheck(CustomLogger): return session_id return None + @staticmethod + def _get_marker_session_affinity_ttl(request_kwargs: dict) -> int | None: + """TTL from the session-affinity marker the Router stamps at pre-routing time + when an auto-router routed this request with session_affinity enabled. + Marker presence enables session pinning for this request only; anything that + is not a positive int is treated as absent.""" + for metadata in DeploymentAffinityCheck._iter_metadata_dicts(request_kwargs): + ttl = metadata.get(SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY) + if isinstance(ttl, int) and not isinstance(ttl, bool) and ttl > 0: + return ttl + return None + + @staticmethod + def _pinned_model_id(stored: object) -> str | None: + """Deployment id held by a stored pin, for both the dict shape this writes and the + bare string older writers left behind. None when the value is neither.""" + if isinstance(stored, dict): + model_id: Final = stored.get("model_id") + return str(model_id) if model_id is not None else None + if isinstance(stored, str): + return stored + return None + + def _set_local_pin(self, cache_key: str, value: object, ttl_seconds: int) -> None: + """The one owner of authoritative local pin writes: a plain set keeps a live + key's original expiry (`allow_ttl_override`), so the entry is replaced to make + the TTL real. Every local pin write goes through here so the redis-winner sync + and the pod-local claim can never disagree about expiry again.""" + self.cache.in_memory_cache.delete_cache(cache_key) + self.cache.in_memory_cache.set_cache(cache_key, value, ttl=ttl_seconds) + + async def _claim_pin(self, cache_key: str, pin_value: DeploymentAffinityCacheValue, ttl_seconds: int) -> str | None: + """First-writer-wins pin write: store `pin_value` only when the key is absent and + return the deployment id the key holds afterwards, so a caller learns whether it won + by comparing against its own id, and None when the stored value is one no reader can + interpret. Concurrent claimers converge on the + first write instead of the last. Re-claiming with the stored value refreshes its + TTL, the same keepalive the complexity router's model pin documents: an active + session must not lose its pin mid-conversation just because it outlives the + original write, so `session_affinity_ttl_seconds` bounds idle time, not total + session length. On Redis one Lua script does the get-or-set-or-refresh + atomically (same registration seam the rate limiters use) and the in-memory + tier is synchronized to the winner; without Redis, and whenever Redis is + unreachable, the pod-local check-and-set below stands in and is atomic because it + runs synchronously on the event loop. Degrading to a pod-local claim rather than + propagating the fault is what keeps same-pod stickiness through a Redis blip: the + caller only logs this result, so an escaping error would leave the session with no + pin at all and reshuffle every turn for the outage, which is worse than losing + cross-pod agreement. The redis tier is + resolved per call because the proxy attaches it after Router construction + (`Router._update_redis_cache`); the compiled script is cached per event loop + underneath the registration seam. + """ + redis_cache: Final = self.cache.redis_cache + if redis_cache is not None: + try: + claim_script: Final = redis_cache.async_register_script(_CLAIM_PIN_SCRIPT) + raw: Final = await claim_script(keys=(cache_key,), args=(json.dumps(pin_value), int(ttl_seconds))) + decoded: Final = raw.decode("utf-8") if isinstance(raw, bytes) else raw + if not isinstance(decoded, str): + return pin_value["model_id"] + try: + winner: object = json.loads(decoded) + except json.JSONDecodeError: + winner = decoded + self._set_local_pin(cache_key=cache_key, value=winner, ttl_seconds=ttl_seconds) + return self._pinned_model_id(winner) + except Exception as e: # noqa: BLE001 # any Redis/Lua failure degrades to the pod-local claim, never unpins + verbose_router_logger.debug( + "DeploymentAffinityCheck: redis pin claim failed, falling back to pod-local claim. error=%s", e + ) + + return self._claim_pin_in_memory(cache_key=cache_key, pin_value=pin_value, ttl_seconds=ttl_seconds) + + def _claim_pin_in_memory( + self, cache_key: str, pin_value: DeploymentAffinityCacheValue, ttl_seconds: int + ) -> str | None: + """Pod-local half of the claim, used when no Redis tier is attached and as the + fallback when the Redis claim fails. Mirrors the Lua script exactly, including + the keepalive: re-claiming with the stored value slides the idle window through + `_set_local_pin`. Both branches stay synchronous, hence atomic on the event + loop.""" + existing: Final = self.cache.in_memory_cache.get_cache(cache_key) + if existing is not None: + existing_model_id: Final = self._pinned_model_id(existing) + if existing_model_id == pin_value["model_id"]: + self._set_local_pin(cache_key=cache_key, value=pin_value, ttl_seconds=ttl_seconds) + return existing_model_id + self._set_local_pin(cache_key=cache_key, value=pin_value, ttl_seconds=ttl_seconds) + return pin_value["model_id"] + @staticmethod def _find_deployment_by_model_id(healthy_deployments: list[dict], model_id: str) -> dict | None: for deployment in healthy_deployments: @@ -334,12 +457,21 @@ class DeploymentAffinityCheck(CustomLogger): if stable_model_map_key is None: return typed_healthy_deployments + session_affinity_active: Final = ( + enable_session_id or self._get_marker_session_affinity_ttl(request_kwargs=request_kwargs) is not None + ) + user_key: Final = ( + self._get_user_key_from_request_kwargs(request_kwargs=request_kwargs) + if (session_affinity_active or enable_user_key) + else None + ) + # 2) Session-id -> deployment affinity - if enable_session_id: + if session_affinity_active: session_id: Final = self._get_session_id_from_request_kwargs(request_kwargs=request_kwargs) if session_id is not None: session_cache_key: Final = self.get_session_affinity_cache_key( - model_group=stable_model_map_key, session_id=session_id + model_group=stable_model_map_key, session_id=session_id, user_key=user_key ) session_cache_result: Final = await self.cache.async_get_cache(key=session_cache_key) @@ -371,7 +503,6 @@ class DeploymentAffinityCheck(CustomLogger): if not enable_user_key: return typed_healthy_deployments - user_key: Final = self._get_user_key_from_request_kwargs(request_kwargs=request_kwargs) if user_key is None: return typed_healthy_deployments @@ -438,18 +569,22 @@ class DeploymentAffinityCheck(CustomLogger): enable_session_id, ) = self._get_effective_flags(deployment_model_name) - if not enable_user_key and not enable_session_id: + marker_session_ttl: Final = self._get_marker_session_affinity_ttl(request_kwargs=kwargs) + session_affinity_active: Final = enable_session_id or marker_session_ttl is not None + + if not enable_user_key and not session_affinity_active: return None - user_key = None - if enable_user_key: - user_key = self._get_user_key_from_request_kwargs(request_kwargs=kwargs) + user_key: Final = ( + self._get_user_key_from_request_kwargs(request_kwargs=kwargs) + if (enable_user_key or session_affinity_active) + else None + ) + session_id: Final = ( + self._get_session_id_from_request_kwargs(request_kwargs=kwargs) if session_affinity_active else None + ) - session_id = None - if enable_session_id: - session_id = self._get_session_id_from_request_kwargs(request_kwargs=kwargs) - - if user_key is None and session_id is None: + if not ((enable_user_key and user_key is not None) or session_id is not None): return None model_info = kwargs.get("model_info") @@ -473,22 +608,31 @@ class DeploymentAffinityCheck(CustomLogger): verbose_router_logger.warning("DeploymentAffinityCheck: model_id missing; skipping affinity cache update.") return None - if user_key is not None: + pin_value: Final = DeploymentAffinityCacheValue(model_id=str(model_id)) + + if enable_user_key and user_key is not None: try: cache_key: Final = self.get_affinity_cache_key(model_group=deployment_model_name, user_key=user_key) - await self.cache.async_set_cache( - cache_key, - DeploymentAffinityCacheValue(model_id=str(model_id)), - ttl=self.ttl_seconds, - ) - - verbose_router_logger.debug( - "DeploymentAffinityCheck: set affinity mapping model_map_key=%s deployment=%s ttl=%s user_key=%s", - deployment_model_name, - model_id, - self.ttl_seconds, - self._shorten_for_logs(user_key), + claimed_user_pin: Final = await self._claim_pin( + cache_key=cache_key, + pin_value=pin_value, + ttl_seconds=self.ttl_seconds, ) + if claimed_user_pin == pin_value["model_id"]: + verbose_router_logger.debug( + "DeploymentAffinityCheck: set affinity mapping model_map_key=%s deployment=%s ttl=%s user_key=%s", + deployment_model_name, + model_id, + self.ttl_seconds, + self._shorten_for_logs(user_key), + ) + else: + verbose_router_logger.debug( + "DeploymentAffinityCheck: affinity pin already claimed model_map_key=%s existing=%s ours=%s", + deployment_model_name, + claimed_user_pin, + model_id, + ) except Exception as e: # Non-blocking: affinity is a best-effort optimization. verbose_router_logger.debug( @@ -500,21 +644,31 @@ class DeploymentAffinityCheck(CustomLogger): # Also persist Session-ID affinity if enabled and session-id is provided if session_id is not None: try: + session_affinity_ttl: Final = marker_session_ttl if marker_session_ttl is not None else self.ttl_seconds session_cache_key: Final = self.get_session_affinity_cache_key( - model_group=deployment_model_name, session_id=session_id + model_group=deployment_model_name, session_id=session_id, user_key=user_key ) - await self.cache.async_set_cache( - session_cache_key, - DeploymentAffinityCacheValue(model_id=str(model_id)), - ttl=self.ttl_seconds, - ) - verbose_router_logger.debug( - "DeploymentAffinityCheck: set session affinity mapping model_map_key=%s deployment=%s ttl=%s session_id=%s", - deployment_model_name, - model_id, - self.ttl_seconds, - session_id, + claimed_session_pin: Final = await self._claim_pin( + cache_key=session_cache_key, + pin_value=pin_value, + ttl_seconds=session_affinity_ttl, ) + if claimed_session_pin == pin_value["model_id"]: + verbose_router_logger.debug( + "DeploymentAffinityCheck: set session affinity mapping model_map_key=%s deployment=%s ttl=%s session_id=%s", + deployment_model_name, + model_id, + session_affinity_ttl, + session_id, + ) + else: + verbose_router_logger.debug( + "DeploymentAffinityCheck: session pin already claimed model_map_key=%s existing=%s ours=%s session_id=%s", + deployment_model_name, + claimed_session_pin, + model_id, + session_id, + ) except Exception as e: verbose_router_logger.debug( "DeploymentAffinityCheck: failed to set session affinity cache. model_map_key=%s error=%s", diff --git a/litellm/types/router.py b/litellm/types/router.py index 4280da08cbb..e166d844735 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -816,6 +816,7 @@ class PreRoutingHookResponse(BaseModel): model: str messages: list[dict[str, Any]] | None routing_decision: StandardLoggingRoutingDecision | None = None + session_affinity_ttl_seconds: int | None = None _PreRoutingStrategyT_co = TypeVar("_PreRoutingStrategyT_co", covariant=True) diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index 6d6fd2e5507..22f9e6bb67a 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -676,6 +676,7 @@ async def test_add_litellm_data_to_request_strips_user_control_fields(): "applied_policies": ["spoofed-policy"], "policy_sources": {"spoofed-policy": "request"}, "routing_decision": {"cause": "forged", "routed_model": "spoofed"}, + "_session_deployment_affinity_ttl": 999999, "internal_call_origin": "autorouter_classifier", "_guardrail_pipelines": [{"name": "spoofed"}], "_pipeline_managed_guardrails": ["evaded"], @@ -719,6 +720,7 @@ async def test_add_litellm_data_to_request_strips_user_control_fields(): "applied_policies", "policy_sources", "routing_decision", + "_session_deployment_affinity_ttl", "internal_call_origin", "_guardrail_pipelines", "_pipeline_managed_guardrails", diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py index 356556f3563..94b6b68855b 100644 --- a/tests/test_litellm/router_strategy/test_complexity_router.py +++ b/tests/test_litellm/router_strategy/test_complexity_router.py @@ -3414,6 +3414,103 @@ class TestSessionAffinity: def _request_kwargs(session_id: str) -> Dict: return {"metadata": {"session_id": session_id}} + @pytest.mark.asyncio + async def test_hook_response_carries_session_affinity_ttl_on_classify_and_pin_paths( + self, mock_router_instance, session_affinity_config + ): + """The hook response's session_affinity_ttl_seconds is what the Router stamps as + the deployment-affinity marker, so both the classify path (turn 1) and the + session-pin path (turn 2) must carry the configured TTL.""" + mock_router_instance.cache = DualCache() + router = ComplexityRouter( + model_name="test-router", + litellm_router_instance=mock_router_instance, + complexity_router_config={**session_affinity_config, "session_affinity_ttl_seconds": 321}, + ) + request_kwargs = self._request_kwargs("marker-session") + first = await router.async_pre_routing_hook( + model="test-model", request_kwargs=request_kwargs, messages=self.SIMPLE_MESSAGE + ) + second = await router.async_pre_routing_hook( + model="test-model", request_kwargs=request_kwargs, messages=self.SIMPLE_MESSAGE + ) + assert first.session_affinity_ttl_seconds == 321 + assert second.session_affinity_ttl_seconds == 321 + + @pytest.mark.parametrize( + "session_affinity,deployment_affinity,plugins,tier_pinned,deployment_pinned", + [ + (False, False, False, False, False), + (False, True, False, False, True), + (True, False, False, True, True), + (True, True, False, True, True), + (False, True, True, False, False), + (True, True, True, False, False), + ], + ) + @pytest.mark.asyncio + async def test_tier_pin_and_deployment_pin_are_independently_gated( + self, + mock_router_instance, + basic_config, + session_affinity, + deployment_affinity, + plugins, + tier_pinned, + deployment_pinned, + ): + """deployment_affinity pins the deployment inside each routed group without pinning which + group the session routes to, so with session_affinity off the tier must still reclassify + on every turn while the marker the Router stamps is still emitted. Turn 1 classifies + REASONING and turn 2 SIMPLE, so a reclassified turn 2 moves model while a tier-pinned one + does not. plugins suppress both pins, since a stale pin would bypass the plugin pipeline.""" + mock_router_instance.cache = DualCache() + router = ComplexityRouter( + model_name="test-router", + litellm_router_instance=mock_router_instance, + complexity_router_config={ + **basic_config, + "session_affinity": session_affinity, + "deployment_affinity": deployment_affinity, + **({"plugins": [_DummyPlugin()]} if plugins else {}), + }, + ) + request_kwargs = self._request_kwargs("matrix-session") + first = await router.async_pre_routing_hook( + model="test-model", request_kwargs=request_kwargs, messages=self.REASONING_MESSAGE + ) + second = await router.async_pre_routing_hook( + model="test-model", request_kwargs=request_kwargs, messages=self.SIMPLE_MESSAGE + ) + assert first.model == "o1-preview" + assert second.model == ("o1-preview" if tier_pinned else "gpt-4o-mini") + assert (first.session_affinity_ttl_seconds is not None) is deployment_pinned + assert (second.session_affinity_ttl_seconds is not None) is deployment_pinned + + @pytest.mark.asyncio + async def test_hook_response_has_no_session_affinity_ttl_when_disabled_or_plugins( + self, mock_router_instance, basic_config, session_affinity_config + ): + mock_router_instance.cache = DualCache() + disabled_router = ComplexityRouter( + model_name="test-router", + litellm_router_instance=mock_router_instance, + complexity_router_config={**basic_config, "deployment_affinity": False}, + ) + plugin_router = ComplexityRouter( + model_name="test-router-plugins", + litellm_router_instance=mock_router_instance, + complexity_router_config={**session_affinity_config, "plugins": [_DummyPlugin()]}, + ) + disabled = await disabled_router.async_pre_routing_hook( + model="test-model", request_kwargs=self._request_kwargs("s-off"), messages=self.SIMPLE_MESSAGE + ) + with_plugins = await plugin_router.async_pre_routing_hook( + model="test-model", request_kwargs=self._request_kwargs("s-plugins"), messages=self.SIMPLE_MESSAGE + ) + assert disabled.session_affinity_ttl_seconds is None + assert with_plugins.session_affinity_ttl_seconds is None + @pytest.mark.asyncio async def test_disabled_by_default_reclassifies_every_turn(self, mock_router_instance, basic_config): """Regression: session_affinity defaults to False, so a shared session_id must NOT diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_deployment_affinity_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_deployment_affinity_check.py index e29adda3328..428eb0ceafd 100644 --- a/tests/test_litellm/router_utils/pre_call_checks/test_deployment_affinity_check.py +++ b/tests/test_litellm/router_utils/pre_call_checks/test_deployment_affinity_check.py @@ -465,8 +465,7 @@ async def test_async_pre_call_hook_uses_model_map_key_scope(): Deployment affinity caching uses (user_api_key_hash, model_map_key) -> model_id. """ - cache = AsyncMock() - cache.async_set_cache = AsyncMock() + cache = DualCache() callback = DeploymentAffinityCheck( cache=cache, @@ -489,11 +488,7 @@ async def test_async_pre_call_hook_uses_model_map_key_scope(): model_group="claude-sonnet-4-5@20250929", user_key="user-key-abc", ) - cache.async_set_cache.assert_called_once_with( - expected_cache_key, - {"model_id": "model-id-123"}, - ttl=123, - ) + assert await cache.async_get_cache(key=expected_cache_key) == {"model_id": "model-id-123"} @pytest.mark.asyncio diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_session_id_affinity.py b/tests/test_litellm/router_utils/pre_call_checks/test_session_id_affinity.py index 0bcb0247aad..4053e6d118b 100644 --- a/tests/test_litellm/router_utils/pre_call_checks/test_session_id_affinity.py +++ b/tests/test_litellm/router_utils/pre_call_checks/test_session_id_affinity.py @@ -1,6 +1,6 @@ import os import sys -from unittest.mock import AsyncMock, patch +from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -10,6 +10,7 @@ import json import litellm from litellm.caching.dual_cache import DualCache +from litellm.constants import SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY from litellm.router_utils.pre_call_checks.deployment_affinity_check import ( DeploymentAffinityCheck, ) @@ -163,7 +164,7 @@ async def test_async_session_id_affinity_priority_over_user_key(): await callback.cache.async_set_cache( DeploymentAffinityCheck.get_session_affinity_cache_key( - "model_group", "session1" + "model_group", "session1", user_key="user1" ), {"model_id": "deployment-2"}, ) @@ -180,3 +181,439 @@ async def test_async_session_id_affinity_priority_over_user_key(): assert len(filtered) == 1 assert filtered[0]["model_info"]["id"] == "deployment-2" + + +MOCK_RESPONSES_API_RESPONSE = { + "id": "resp_mock-resp-456", + "object": "response", + "created_at": 1741476542, + "status": "completed", + "model": "azure/computer-use-preview", + "output": [], + "usage": { + "input_tokens": 5, + "output_tokens": 10, + "total_tokens": 15, + "output_tokens_details": {"reasoning_tokens": 0}, + }, +} + + +def _smart_router(session_affinity=True, ttl_seconds=777, deployment_affinity=True): + return litellm.Router( + model_list=[ + { + "model_name": "smart-router", + "litellm_params": { + "model": "auto_router/complexity_router", + "complexity_router_default_model": "target-group", + "complexity_router_config": { + "session_affinity": session_affinity, + "deployment_affinity": deployment_affinity, + "session_affinity_ttl_seconds": ttl_seconds, + "tiers": { + "SIMPLE": "target-group", + "MEDIUM": "target-group", + "COMPLEX": "target-group", + "REASONING": "target-group", + }, + }, + }, + }, + { + "model_name": "target-group", + "litellm_params": { + "model": "azure/computer-use-preview-1", + "api_key": "mock-api-key-1", + "api_version": "mock-api-version", + "api_base": "https://mock-endpoint-1.openai.azure.com", + }, + "model_info": {"id": "deployment-1", "base_model": "computer-use-preview"}, + }, + { + "model_name": "target-group", + "litellm_params": { + "model": "azure/computer-use-preview-2", + "api_key": "mock-api-key-2", + "api_version": "mock-api-version-2", + "api_base": "https://mock-endpoint-2.openai.azure.com", + }, + "model_info": {"id": "deployment-2", "base_model": "computer-use-preview"}, + }, + ], + ) + + +def _session_pin_key(session_id, user_key): + return DeploymentAffinityCheck.get_session_affinity_cache_key( + model_group="target-group", session_id=session_id, user_key=user_key + ) + + +def _cleanup_router_callbacks(router): + for callback in router.optional_callbacks or []: + litellm.logging_callback_manager.remove_callback_from_all_lists(callback) + + +async def _one_turn(router, model, session_id, key_hash): + """One request with the shuffle forced to deployment-1, so any other landing + deployment can only come from a pin read.""" + with ( + patch( + "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post", + new_callable=AsyncMock, + ) as mock_post, + patch( + "litellm.router_strategy.simple_shuffle.random.choice", + side_effect=lambda seq: seq[0], + ), + ): + mock_post.return_value = MockResponse(MOCK_RESPONSES_API_RESPONSE, 200) + response = await router.aresponses( + model=model, + input=f"turn for {session_id} {key_hash}", + litellm_metadata={"session_id": session_id, "user_api_key_hash": key_hash}, + ) + return response._hidden_params["model_id"] + + +@pytest.mark.asyncio +async def test_auto_router_session_affinity_writes_scoped_pin_and_follows_it(): + """Turn 1 persists a key-scoped deployment pin; a pin seeded to the deployment + the shuffle would never pick is then followed, proving the read path.""" + router = _smart_router() + try: + served = await _one_turn(router, "smart-router", "write-session", "key-1") + assert await router.cache.async_get_cache(key=_session_pin_key("write-session", "key-1")) == { + "model_id": served + } + assert await router.cache.async_get_cache(key=_session_pin_key("write-session", None)) is None + + await router.cache.async_set_cache( + key=_session_pin_key("read-session", "key-1"), value={"model_id": "deployment-2"} + ) + assert await _one_turn(router, "smart-router", "read-session", "key-1") == "deployment-2" + finally: + _cleanup_router_callbacks(router) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "model,key_hash", + [ + ("target-group", "key-1"), + ("smart-router", "key-2"), + ], + ids=["direct-group-call", "different-api-key"], +) +async def test_seeded_session_pin_is_invisible_outside_its_scope(model, key_hash): + """The pin binds (auto-routed request, api key, session): a direct call to the + group and a different key reusing the session id must both ignore it.""" + router = _smart_router() + try: + await router.cache.async_set_cache( + key=_session_pin_key("scoped-session", "key-1"), value={"model_id": "deployment-2"} + ) + assert await _one_turn(router, model, "scoped-session", key_hash) == "deployment-1" + finally: + _cleanup_router_callbacks(router) + + +@pytest.mark.asyncio +async def test_marker_write_uses_marker_ttl_and_writes_only_the_session_pin(): + """The write hook honors the marker's TTL over the callback default and writes + no user-key entry when only session affinity is active.""" + import time as time_module + + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + + await callback.async_pre_call_deployment_hook( + kwargs={ + "model_info": {"id": "deployment-1"}, + "metadata": { + "deployment_model_name": "target-group", + "session_id": "ttl-session", + "user_api_key_hash": "key-1", + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: 777, + }, + }, + call_type=None, + ) + + session_key = _session_pin_key("ttl-session", "key-1") + assert cache.in_memory_cache.cache_dict == {session_key: {"model_id": "deployment-1"}} + assert cache.in_memory_cache.ttl_dict[session_key] == pytest.approx(time_module.time() + 777, abs=5) + + +@pytest.mark.asyncio +@pytest.mark.parametrize("bad_marker", ["777", True, -5, 0, None]) +async def test_malformed_marker_values_do_not_enable_session_affinity(bad_marker): + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + + await callback.async_pre_call_deployment_hook( + kwargs={ + "model_info": {"id": "deployment-1"}, + "metadata": { + "deployment_model_name": "target-group", + "session_id": "bad-marker-session", + "user_api_key_hash": "key-1", + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: bad_marker, + }, + }, + call_type=None, + ) + + assert cache.in_memory_cache.cache_dict == {} + + +@pytest.mark.asyncio +@pytest.mark.parametrize("enable_user_key", [False, True], ids=["session-pin", "user-key-pin"]) +async def test_concurrent_first_requests_never_flip_a_claimed_pin(enable_user_key): + """Two overlapping first requests select different deployments before either + write lands. Pins are first-writer-wins claims, so the second write must leave + the stored pin unchanged instead of flipping it.""" + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=enable_user_key, + enable_responses_api_affinity=False, + ) + + def racing_kwargs(deployment_id): + metadata = {"deployment_model_name": "target-group", "user_api_key_hash": "key-1"} + if not enable_user_key: + metadata["session_id"] = "racing-session" + metadata[SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY] = 777 + return {"model_info": {"id": deployment_id}, "metadata": metadata} + + await callback.async_pre_call_deployment_hook(kwargs=racing_kwargs("deployment-1"), call_type=None) + await callback.async_pre_call_deployment_hook(kwargs=racing_kwargs("deployment-2"), call_type=None) + + pinned_key = ( + DeploymentAffinityCheck.get_affinity_cache_key(model_group="target-group", user_key="key-1") + if enable_user_key + else _session_pin_key("racing-session", "key-1") + ) + assert await cache.async_get_cache(key=pinned_key) == {"model_id": "deployment-1"} + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "stored_pin", + [{"model_id": "deployment-1"}, "deployment-1"], + ids=["dict-pin", "legacy-string-pin"], +) +async def test_in_memory_reclaim_slides_idle_window_only_for_the_stored_deployment(stored_pin): + """The pod-local claim mirrors the Lua keepalive: the winning deployment's + re-claim extends the pin's expiry, a losing deployment's claim touches neither + the value nor the expiry, so no-Redis setups keep stickiness across an active + session and ttl bounds idle time there too. Sameness is judged on the pinned + model id, so a legacy string pin written by the Redis branch slides the same.""" + import time as time_module + + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + pin_key = _session_pin_key("slide-session", "key-1") + cache.in_memory_cache.set_cache(pin_key, stored_pin, ttl=10) + first_expiry = cache.in_memory_cache.ttl_dict[pin_key] + + reclaimed = await callback._claim_pin(cache_key=pin_key, pin_value={"model_id": "deployment-1"}, ttl_seconds=777) + assert reclaimed == "deployment-1" + assert cache.in_memory_cache.ttl_dict[pin_key] == pytest.approx(time_module.time() + 777, abs=5) + assert cache.in_memory_cache.ttl_dict[pin_key] > first_expiry + + lost = await callback._claim_pin(cache_key=pin_key, pin_value={"model_id": "deployment-2"}, ttl_seconds=10) + assert lost == "deployment-1" + assert cache.in_memory_cache.ttl_dict[pin_key] == pytest.approx(time_module.time() + 777, abs=5) + + +@pytest.mark.asyncio +async def test_claim_pin_uses_redis_attached_after_construction(): + """The proxy attaches Redis via Router._update_redis_cache after the Router (and + this callback) are built. The claim must resolve the redis tier per call, or pins + silently stay pod-local and cross-pod first-writer-wins is lost.""" + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + + captured = {} + + async def fake_runner(keys, args, client=None): + captured["keys"] = keys + captured["args"] = args + return b'{"model_id": "other-pod-winner"}' + + late_redis = MagicMock() + late_redis.async_register_script = MagicMock(return_value=fake_runner) + cache.redis_cache = late_redis + + import time as time_module + + pin_key = _session_pin_key("late-redis-session", "key-1") + cache.in_memory_cache.set_cache(pin_key, {"model_id": "other-pod-winner"}, ttl=10) + + claimed = await callback._claim_pin( + cache_key=pin_key, + pin_value={"model_id": "our-deployment"}, + ttl_seconds=777, + ) + + assert claimed == "other-pod-winner" + assert cache.in_memory_cache.ttl_dict[pin_key] == pytest.approx(time_module.time() + 777, abs=5) + assert captured["keys"] == (pin_key,) + assert captured["args"] == ('{"model_id": "our-deployment"}', 777) + assert cache.in_memory_cache.get_cache(_session_pin_key("late-redis-session", "key-1")) == { + "model_id": "other-pod-winner" + } + + +@pytest.mark.asyncio +async def test_claim_pin_falls_back_to_pod_local_when_redis_is_down(): + """A Redis outage must cost cross-pod agreement, never same-pod stickiness. The write + hook only logs this result, so an escaping error would leave the session unpinned and + reshuffle every turn for the whole outage. DualCache's write path, which this claim + replaced, wrote the in-memory tier before ever touching Redis.""" + cache = DualCache() + callback = DeploymentAffinityCheck( + cache=cache, + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + + async def exploding_runner(keys, args, client=None): + raise ConnectionError("redis is down") + + down_redis = MagicMock() + down_redis.async_register_script = MagicMock(return_value=exploding_runner) + cache.redis_cache = down_redis + + key = _session_pin_key("outage-session", "key-1") + claimed = await callback._claim_pin(cache_key=key, pin_value={"model_id": "our-deployment"}, ttl_seconds=777) + + assert claimed == "our-deployment" + assert cache.in_memory_cache.get_cache(key) == {"model_id": "our-deployment"} + + second = await callback._claim_pin(cache_key=key, pin_value={"model_id": "another-deployment"}, ttl_seconds=777) + assert second == "our-deployment" + + +@pytest.mark.asyncio +async def test_marker_session_affinity_read_and_write_agree_for_wildcard_groups(): + """Wildcard deployments keep the literal pattern as model_name on both the read + path and the write path, so the marker-gated pin round-trips through one key.""" + callback = DeploymentAffinityCheck( + cache=DualCache(), + ttl_seconds=3600, + enable_user_key_affinity=False, + enable_responses_api_affinity=False, + ) + request_kwargs = { + "model_info": {"id": "wild-deployment-2"}, + "metadata": { + "deployment_model_name": "openai/*", + "session_id": "wild-session", + "user_api_key_hash": "key-1", + SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: 777, + }, + } + + await callback.async_pre_call_deployment_hook(kwargs=request_kwargs, call_type=None) + filtered = await callback.async_filter_deployments( + model="openai/gpt-4o", + healthy_deployments=[ + { + "model_name": "openai/*", + "litellm_params": {"model": "openai/gpt-4o"}, + "model_info": {"id": f"wild-deployment-{i}"}, + } + for i in (1, 2) + ], + messages=[], + request_kwargs=request_kwargs, + ) + + assert [d["model_info"]["id"] for d in filtered] == ["wild-deployment-2"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "model,session_affinity,deployment_affinity,expect_marker", + [ + ("smart-router", False, True, True), + ("smart-router", True, False, True), + ("smart-router", False, False, False), + ("target-group", False, True, False), + ], + ids=[ + "deployment-affinity-stamps", + "session-affinity-implies-deployment-pin", + "both-off-no-stamp", + "non-auto-routed-clears", + ], +) +async def test_pre_routing_hook_stamps_or_clears_the_marker_per_attempt( + model, session_affinity, deployment_affinity, expect_marker +): + """Every routing attempt writes or clears the marker, so a fallback from an + auto-routed group to a plain group cannot carry a stale marker. session_affinity + implies the deployment pin: a session frozen onto one group must not re-shuffle + across that group's deployments.""" + router = _smart_router(session_affinity=session_affinity, deployment_affinity=deployment_affinity) + try: + request_kwargs = { + "metadata": {SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: 111}, + "litellm_metadata": {SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: 111}, + } + await router.async_pre_routing_hook( + model=model, + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "Hello"}], + ) + if expect_marker: + assert request_kwargs["litellm_metadata"][SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY] == 777 + else: + assert SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY not in request_kwargs["metadata"] + assert SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY not in request_kwargs["litellm_metadata"] + finally: + _cleanup_router_callbacks(router) + + +def test_complexity_router_with_deployment_affinity_registers_affinity_callback(): + enabled = _smart_router() + session_only = _smart_router(session_affinity=True, deployment_affinity=False) + disabled = _smart_router(session_affinity=False, deployment_affinity=False) + try: + assert [ + (cb.enable_user_key_affinity, cb.enable_responses_api_affinity, cb.enable_session_id_affinity) + for cb in enabled.optional_callbacks or [] + if isinstance(cb, DeploymentAffinityCheck) + ] == [(False, False, False)] + assert any(isinstance(cb, DeploymentAffinityCheck) for cb in session_only.optional_callbacks or []) + assert not any(isinstance(cb, DeploymentAffinityCheck) for cb in disabled.optional_callbacks or []) + finally: + _cleanup_router_callbacks(enabled) + _cleanup_router_callbacks(session_only) + _cleanup_router_callbacks(disabled) diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py index da2d78edb73..67fa827a8e4 100644 --- a/tests/test_litellm/test_router.py +++ b/tests/test_litellm/test_router.py @@ -7550,3 +7550,68 @@ async def test_fallback_failure_detail_from_upstream_is_bounded(): assert capture.messages, "the fallback failure path did not log at ERROR" assert huge_message not in "".join(capture.messages) assert max(len(message) for message in capture.messages) < 5_000 +def test_stamp_or_clear_metadata_key_writes_and_clears_both_buckets(): + request_kwargs = {"metadata": {}} + litellm.Router._stamp_or_clear_metadata_key(request_kwargs=request_kwargs, key="probe", value=7) + assert request_kwargs["metadata"]["probe"] == 7 + + stale_kwargs = {"metadata": {"probe": 7}, "litellm_metadata": {"probe": 7}} + litellm.Router._stamp_or_clear_metadata_key(request_kwargs=stale_kwargs, key="probe", value=None) + assert "probe" not in stale_kwargs["metadata"] + assert "probe" not in stale_kwargs["litellm_metadata"] + + +@pytest.mark.parametrize( + "complexity_router_config,expect_callback", + [ + ({"tiers": {"SIMPLE": "gpt-4o"}}, True), + ({"tiers": {"SIMPLE": "gpt-4o"}, "deployment_affinity": False}, False), + ({"tiers": {"SIMPLE": "gpt-4o"}, "deployment_affinity": False, "session_affinity": True}, True), + ], +) +def test_complexity_router_registers_affinity_callback_for_deployment_pin(complexity_router_config, expect_callback): + """The marker the complexity router stamps is inert unless a DeploymentAffinityCheck is + registered to read it, so deployment_affinity has to pull the callback in, and its default-on + means a bare config registers one. Opting out must skip the callback entirely rather than + register a filter that can never fire, including when session_affinity is on, since the two + pins are independent.""" + from litellm.router_utils.pre_call_checks.deployment_affinity_check import ( + DeploymentAffinityCheck, + ) + + router = litellm.Router( + model_list=[ + {"model_name": "gpt-4o", "litellm_params": {"model": "gpt-4o"}}, + { + "model_name": "my-complexity-router", + "litellm_params": { + "model": "auto_router/complexity_router", + "complexity_router_config": complexity_router_config, + }, + }, + ] + ) + try: + registered = any(isinstance(cb, DeploymentAffinityCheck) for cb in router.optional_callbacks or []) + assert registered is expect_callback + finally: + for cb in router.optional_callbacks or []: + litellm.logging_callback_manager.remove_callback_from_all_lists(cb) + + +def test_ensure_deployment_affinity_callback_is_idempotent(): + from litellm.router_utils.pre_call_checks.deployment_affinity_check import ( + DeploymentAffinityCheck, + ) + + router = litellm.Router(model_list=[]) + try: + router._ensure_deployment_affinity_callback() + router._ensure_deployment_affinity_callback() + affinity_callbacks = [ + cb for cb in router.optional_callbacks or [] if isinstance(cb, DeploymentAffinityCheck) + ] + assert len(affinity_callbacks) == 1 + finally: + for cb in router.optional_callbacks or []: + litellm.logging_callback_manager.remove_callback_from_all_lists(cb) diff --git a/type-discipline-budget.json b/type-discipline-budget.json index 3a670bc7345..d621e85f09b 100644 --- a/type-discipline-budget.json +++ b/type-discipline-budget.json @@ -27,7 +27,7 @@ "limit": 0 }, "LIT010": { - "limit": 16760 + "limit": 16758 }, "LIT011": { "limit": 5598 diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index a75c23da1cf..b361a16a0e6 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -31695,6 +31695,12 @@ export interface components { * @description Default model to use if tier cannot be determined */ default_model?: string | null; + /** + * Deployment Affinity + * @description When True and a session_id is resolvable on the request, pin the deployment chosen inside each routed model group and reuse it whenever the session returns to that group, without pinning which group the session routes to. Independent of session_affinity, which pins the model group instead (and always carries this deployment pin with it): with session_affinity off, every turn is still classified on its own merits while a session that escalates to a stronger tier and comes back still lands on the deployment it used before, which is what keeps a provider prompt cache warm. Pins are held per model group, so switching tiers does not disturb the pin left behind in the previous group. On by default because re-shuffling a conversation across deployments of the same model discards that cache for no benefit; set False to keep every turn load-balanced across the group, which is what a deployment set with tight per-deployment rate limits wants. Inert when no session_id is resolvable, since there is nothing to key a pin on, and suppressed when plugins are configured, for the same reason session_affinity is. + * @default true + */ + deployment_affinity: boolean; /** * Dimension Weights * @description Weights for each scoring dimension @@ -31752,13 +31758,13 @@ export interface components { semantic_keyword_matching: boolean; /** * Session Affinity - * @description When True and a session_id is resolvable on the request, pin the model chosen on the session's first turn and reuse it for every later turn, skipping re-classification. Off by default so every turn is classified on its own merits and routed to the cheapest adequate tier. Set True to keep a multi-turn session on one model, which preserves provider prompt caches and avoids cross-model conversation-history errors. + * @description When True and a session_id is resolvable on the request, pin the model chosen on the session's first turn and reuse it for every later turn, skipping re-classification. Off by default so every turn is classified on its own merits and routed to the cheapest adequate tier. Set True to keep a multi-turn session on one model, which preserves provider prompt caches and avoids cross-model conversation-history errors. Always implies the deployment pin regardless of deployment_affinity: the session sticks to one deployment of the pinned model, since freezing the model while re-shuffling its deployments would still go cache-cold. * @default false */ session_affinity: boolean; /** * Session Affinity Ttl Seconds - * @description TTL for the session affinity pin; refreshed on every cache hit + * @description TTL for the session affinity pin; refreshed on every cache hit. Bounds both the session_affinity model pin and the deployment_affinity deployment pin, so it measures idle time for the session's routing decisions rather than total session length * @default 3600 */ session_affinity_ttl_seconds: number; From 84d63cbdcff2b3cbf7b2434c43f7405d3b123358 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Sat, 8 Aug 2026 13:14:45 -0700 Subject: [PATCH 052/120] chore: update Next.js build artifacts (2026-08-08 20:14 UTC, node v24.19.0) --- litellm/proxy/_experimental/out/404.html | 2 +- .../proxy/_experimental/out/404/index.html | 2 +- .../out/__next.!KGRhc2hib2FyZCk.__PAGE__.txt | 8 +- .../out/__next.!KGRhc2hib2FyZCk.txt | 10 +- .../proxy/_experimental/out/__next._full.txt | 60 +-- .../proxy/_experimental/out/__next._head.txt | 8 +- .../proxy/_experimental/out/__next._index.txt | 15 +- .../proxy/_experimental/out/__next._tree.txt | 4 +- .../_buildManifest.js | 0 .../_clientMiddlewareManifest.js | 0 .../_ssgManifest.js | 0 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t,{apiKeySource:r,accessToken:o,apiKey:a,inputMessage:n,chatHistory:s,selectedTags:l,selectedVectorStores:c,selectedGuardrails:d,selectedPolicies:u,selectedMCPServers:p,mcpServers:m,mcpServerToolRestrictions:h,selectedVoice:f,endpointType:g,selectedModel:b,selectedSdk:v,proxySettings:x}=e,y="session"===r?o:a,_=window.location.origin,k=x?.LITELLM_UI_API_DOC_BASE_URL;k&&k.trim()?_=k:x?.PROXY_BASE_URL&&(_=x.PROXY_BASE_URL);let w=n||"Your prompt here",j=w.replace(/\\/g,"\\\\").replace(/"/g,'\\"').replace(/\n/g,"\\n"),S=s.filter(e=>!e.isImage).map(({role:e,content:t})=>({role:e,content:t})),C={};l.length>0&&(C.tags=l),c.length>0&&(C.vector_stores=c),d.length>0&&(C.guardrails=d),u.length>0&&(C.policies=u);let z=b||"your-model-name",R="azure"===v?`import openai - -client = openai.AzureOpenAI( - api_key="${y||"YOUR_LITELLM_API_KEY"}", - azure_endpoint="${_}", - api_version="2024-02-01" -)`:`import openai - -client = openai.OpenAI( - api_key="${y||"YOUR_LITELLM_API_KEY"}", - base_url="${_}" 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or data:application/pdf;base64,{base64_file} -# } -# } -# ] -# } -# ]${r} -# ) -# print(response_with_file) -`;break}case i.RESPONSES:{let e=Object.keys(C).length>0,r="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();r=`, - extra_body=${e}`}let o=S.length>0?S:[{role:"user",content:w}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.responses.create( - model="${z}", - input=${JSON.stringify(o,null,4)}${r} -) - -print(response.output_text) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.responses.create( -# model="${z}", -# input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${j}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${r} -# ) -# print(response_with_file.output_text) -`;break}case i.IMAGE:t="azure"===v?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on your prompt. -# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. -import os -import requests -import json -import time -from PIL import Image - -result = client.images.generate( - model="${z}", - prompt="${n}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${j}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${z}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, 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this._client.delete(rt`/v1/messages/batches/${e}?beta=true`,{...s,headers:s7([{"anthropic-beta":[...r??[],"message-batches-2024-09-24"].toString()},s?.headers])})}cancel(e,t={},s){let{betas:r}=t??{};return this._client.post(rt`/v1/messages/batches/${e}/cancel?beta=true`,{...s,headers:s7([{"anthropic-beta":[...r??[],"message-batches-2024-09-24"].toString()},s?.headers])})}async results(e,t={},s){let r=await this.retrieve(e);if(!r.results_url)throw new se(`No batch \`results_url\`; Has it finished processing? ${r.processing_status} - ${r.id}`);let{betas:a}=t??{};return this._client.get(r.results_url,{...s,headers:s7([{"anthropic-beta":[...a??[],"message-batches-2024-09-24"].toString(),Accept:"application/binary"},s?.headers]),stream:!0,__binaryResponse:!0})._thenUnwrap((e,t)=>rg.fromResponse(t.response,t.controller))}}let 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r>=0&&s.splice(r,1),this}once(e,t){return(t6(this,Z,"f")[e]||(t6(this,Z,"f")[e]=[])).push({listener:t,once:!0}),this}emitted(e){return new Promise((t,s)=>{t3(this,er,!0,"f"),"error"!==e&&this.once("error",s),this.once(e,t)})}async done(){t3(this,er,!0,"f"),await t6(this,X,"f")}get currentMessage(){return t6(this,H,"f")}async finalMessage(){return await this.done(),t6(this,F,"m",el).call(this)}async finalText(){return await this.done(),t6(this,F,"m",eo).call(this)}_emit(e,...t){if(t6(this,ee,"f"))return;"end"===e&&(t3(this,ee,!0,"f"),t6(this,Y,"f").call(this));let s=t6(this,Z,"f")[e];if(s&&(t6(this,Z,"f")[e]=s.filter(e=>!e.once),s.forEach(({listener:e})=>e(...t))),"abort"===e){let e=t[0];t6(this,er,"f")||s?.length||Promise.reject(e),t6(this,K,"f").call(this,e),t6(this,Q,"f").call(this,e),this._emit("end");return}if("error"===e){let e=t[0];t6(this,er,"f")||s?.length||Promise.reject(e),t6(this,K,"f").call(this,e),t6(this,Q,"f").call(this,e),this._emit("end")}}_emitFinal(){this.receivedMessages.at(-1)&&this._emit("finalMessage",t6(this,F,"m",el).call(this))}async _fromReadableStream(e,t){let s,r=t?.signal;r&&(r.aborted&&this.controller.abort(),s=this.controller.abort.bind(this.controller),r.addEventListener("abort",s));try{t6(this,F,"m",ed).call(this),this._connected(null);let t=sU.fromReadableStream(e,this.controller);for await(let e of t)t6(this,F,"m",eu).call(this,e);if(t.controller.signal?.aborted)throw new ss;t6(this,F,"m",em).call(this)}finally{r&&s&&r.removeEventListener("abort",s)}}[(H=new WeakMap,J=new WeakMap,V=new WeakMap,G=new WeakMap,K=new WeakMap,X=new WeakMap,Y=new WeakMap,Q=new WeakMap,Z=new WeakMap,ee=new WeakMap,et=new WeakMap,es=new WeakMap,er=new WeakMap,ea=new WeakMap,en=new WeakMap,ei=new WeakMap,ec=new WeakMap,F=new WeakSet,el=function(){if(0===this.receivedMessages.length)throw new se("stream ended without producing a Message with role=assistant");return this.receivedMessages.at(-1)},eo=function(){if(0===this.receivedMessages.length)throw new se("stream ended without producing a Message with role=assistant");let e=this.receivedMessages.at(-1).content.filter(e=>"text"===e.type).map(e=>e.text);if(0===e.length)throw new se("stream ended without producing a content block with type=text");return e.join(" ")},ed=function(){this.ended||t3(this,H,void 0,"f")},eu=function(e){if(this.ended)return;let t=t6(this,F,"m",eh).call(this,e);switch(this._emit("streamEvent",e,t),e.type){case"content_block_delta":{let s=t.content.at(-1);switch(e.delta.type){case"text_delta":"text"===s.type&&this._emit("text",e.delta.text,s.text||"");break;case"citations_delta":"text"===s.type&&this._emit("citation",e.delta.citation,s.citations??[]);break;case"input_json_delta":rG(s)&&s.input&&this._emit("inputJson",e.delta.partial_json,s.input);break;case"thinking_delta":"thinking"===s.type&&this._emit("thinking",e.delta.thinking,s.thinking);break;case"signature_delta":"thinking"===s.type&&this._emit("signature",s.signature);break;default:rX(e.delta)}break}case"message_stop":this._addMessageParam(t),this._addMessage(rH(t,t6(this,J,"f"),{logger:t6(this,ei,"f")}),!0);break;case"content_block_stop":this._emit("contentBlock",t.content.at(-1));break;case"message_start":t3(this,H,t,"f")}},em=function(){if(this.ended)throw new se("stream has ended, this shouldn't happen");let e=t6(this,H,"f");if(!e)throw new se("request ended without sending any chunks");return t3(this,H,void 0,"f"),rH(e,t6(this,J,"f"),{logger:t6(this,ei,"f")})},eh=function(e){let t=t6(this,H,"f");if("message_start"===e.type){if(t)throw new se(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new se(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push({...e.content_block}),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(t.content[e.index]={...s,text:(s.text||"")+e.delta.text});break;case"citations_delta":s?.type==="text"&&(t.content[e.index]={...s,citations:[...s.citations??[],e.delta.citation]});break;case"input_json_delta":if(s&&rG(s)){let r=s[rV]||"";r+=e.delta.partial_json;let a={...s};Object.defineProperty(a,rV,{value:r,enumerable:!1,writable:!0}),r&&(a.input=rj(r)),t.content[e.index]=a}break;case"thinking_delta":s?.type==="thinking"&&(t.content[e.index]={...s,thinking:s.thinking+e.delta.thinking});break;case"signature_delta":s?.type==="thinking"&&(t.content[e.index]={...s,signature:e.delta.signature});break;default:rX(e.delta)}return t}}},Symbol.asyncIterator)](){let e=[],t=[],s=!1;return this.on("streamEvent",s=>{let r=t.shift();r?r.resolve(s):e.push(s)}),this.on("end",()=>{for(let e of(s=!0,t))e.resolve(void 0);t.length=0}),this.on("abort",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),this.on("error",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),{next:async()=>e.length?{value:e.shift(),done:!1}:s?{value:void 0,done:!0}:new Promise((e,s)=>t.push({resolve:e,reject:s})).then(e=>e?{value:e,done:!1}:{value:void 0,done:!0}),return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new sU(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function rX(e){}class rY extends s6{create(e,t){return this._client.post("/v1/messages/batches",{body:e,...t})}retrieve(e,t){return this._client.get(rt`/v1/messages/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/v1/messages/batches",sV,{query:e,...t})}delete(e,t){return this._client.delete(rt`/v1/messages/batches/${e}`,t)}cancel(e,t){return this._client.post(rt`/v1/messages/batches/${e}/cancel`,t)}async results(e,t){let s=await this.retrieve(e);if(!s.results_url)throw new se(`No batch \`results_url\`; Has it finished processing? 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