litellm/tests/unit/test_completion_timeout_resolution.py
Mateo Wang 16645cc963
fix(router)!: bound fake-streamed calls by the request timeout, not stream_timeout (#47162)
* fix(router): bound fake-streamed calls by the request timeout, not stream_timeout

A stream=True call that the provider serves as one non-streaming request (Bedrock Converse for json_schema on models without native structured output, tools on some Llama models, ai21) gets no byte until generation ends, so stream_timeout acted as a total-duration cap. The Router now passes timeout and stream_timeout separately to chat completion calls, and completion() applies stream_timeout only when it reads a live stream.

* test(timeout): cover stream_timeout on live streams only and the router's timeout split

* fix(router): cover every fake-stream site and keep the target group's stream_timeout under prompt management

* fix(router): never shorten a fake stream below stream_timeout, and split timeouts on every surface

A faked stream now takes the longer of timeout and stream_timeout, so a caller
who raised stream_timeout to cover a slow fake stream keeps that headroom.
Azure o-series dispatch is mirrored when deciding whether a stream is faked.
text_completion, /v1/messages and /v1/responses through the Router now get
timeout and stream_timeout separately, like chat calls.

* fix(router): report the effective stream timeout, split adapter streams, and cover M365 and Rust messages

* fix(router): report and log the timeout each stream was bounded by

Native /v1/messages and /v1/responses now record the timeout they applied, so
x-litellm-timeout and the cooldown guard read the real limit instead of the raw
request value. A prompt-managed model also passes on only the caller's or its
own timeout, so the target deployment's timeout still wins.

* fix(router): keep the caller's request_timeout on a prompt-managed handoff and report the applied stream limit

* fix(router): give streams answered in one piece the longer limit and accept text timeouts on responses

* fix(router): give /v1/messages and /v1/responses streams answered in one piece the longer limit

* test(integration): cover faked, live and converted stream timeout limits per endpoint

* test(router): regression tests for faked-stream timeouts
2026-10-17 22:08:02 +00:00

233 lines
6.7 KiB
Python

"""Unit tests for litellm.litellm_core_utils.completion_timeout.CompletionTimeout."""
import os
import sys
from typing import Final, Literal
import httpx
import pytest
from openai import Timeout as SDKTimeout
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../../..")))
from litellm.litellm_core_utils.completion_timeout import CompletionTimeout, StreamKind
from litellm.utils import supports_httpx_timeout
def test_explicit_timeout_wins():
assert (
CompletionTimeout.resolve(
12.5,
{"timeout": 99.0, "request_timeout": 88.0},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 12.5
)
def test_kwargs_timeout_when_param_none():
assert (
CompletionTimeout.resolve(
None,
{"timeout": 21.0},
"azure_ai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 21.0
)
def test_request_timeout_alias_in_kwargs():
assert (
CompletionTimeout.resolve(
None,
{"request_timeout": 33.0},
"bedrock",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 33.0
)
def test_global_timeout_from_litellm_settings():
assert (
CompletionTimeout.resolve(
None,
{},
"vertex_ai",
global_timeout=360.0,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 360.0
)
def test_explicit_global_timeout_6000_is_preserved():
"""The caller passes the explicitly-configured value (or None); an explicit
6000 must be honored, not silently coerced to 600."""
assert (
CompletionTimeout.resolve(
None,
{},
"openai",
global_timeout=6000.0,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 6000.0
)
def test_explicit_request_timeout_6000_preserved():
"""Explicit deployment/request timeout must not be truncated by the package sentinel."""
assert (
CompletionTimeout.resolve(
None,
{"request_timeout": 6000.0},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 6000.0
)
def test_explicit_model_timeout_6000_preserved():
assert (
CompletionTimeout.resolve(
6000.0,
{"timeout": 1.0, "request_timeout": 2.0},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 6000.0
)
def test_fallback_600_when_no_global_timeout():
assert (
CompletionTimeout.resolve(
None,
{},
"azure_ai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== 600.0
)
def test_httpx_timeout_coerced_for_provider_without_httpx_timeout_support():
t = httpx.Timeout(50.0, connect=2.0)
out = CompletionTimeout.resolve(
t,
{},
"azure_ai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
assert out == 50.0
assert not isinstance(out, httpx.Timeout)
def test_httpx_timeout_preserved_for_openai():
t = httpx.Timeout(40.0, connect=5.0)
out = CompletionTimeout.resolve(
t,
{},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
assert out is t
assert isinstance(out, httpx.Timeout)
@pytest.mark.parametrize("source", ("model", "timeout", "request_timeout"))
def test_sdk_timeout_preserves_components_for_httpx_providers(
source: Literal["model", "timeout", "request_timeout"],
) -> None:
timeout: Final = SDKTimeout(connect=2.0, read=None, write=5.0, pool=7.0)
resolved: Final = CompletionTimeout.resolve(
timeout if source == "model" else None,
{} if source == "model" else {source: timeout},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
assert isinstance(resolved, httpx.Timeout)
assert resolved.as_dict() == timeout.as_dict()
@pytest.mark.parametrize("read_timeout, expected", ((23.0, 23.0), (None, 600.0)))
def test_sdk_timeout_coerces_read_timeout_for_providers_without_httpx_support(
read_timeout: float | None, expected: float
) -> None:
assert (
CompletionTimeout.resolve(
SDKTimeout(connect=2.0, read=read_timeout, write=5.0, pool=7.0),
{},
"azure_ai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.NOT_STREAMED,
)
== expected
)
@pytest.mark.parametrize(
"stream_kind, timeout, stream_timeout, expected",
(
(StreamKind.NOT_STREAMED, 120.0, 15.0, 120.0),
(StreamKind.LIVE, 120.0, 15.0, 15.0),
(StreamKind.LIVE, 1.0, 15.0, 15.0),
(StreamKind.FAKED, 120.0, 15.0, 120.0),
(StreamKind.FAKED, 1.0, 15.0, 15.0),
(StreamKind.FAKED, httpx.Timeout(5.0, read=None), 15.0, httpx.Timeout(15.0, read=None)),
(StreamKind.FAKED, httpx.Timeout(1.0, read=120.0), 15.0, httpx.Timeout(15.0, read=120.0)),
),
)
def test_stream_timeout_bounds_a_live_stream_and_never_shortens_a_fake_one(
stream_kind: StreamKind, timeout: float | httpx.Timeout, stream_timeout: float, expected: float | httpx.Timeout
) -> None:
assert (
CompletionTimeout.resolve(
timeout,
{"stream_timeout": stream_timeout},
"openai",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=stream_kind,
)
== expected
)
def test_fake_stream_with_only_a_stream_timeout_keeps_the_global_request_timeout() -> None:
assert (
CompletionTimeout.resolve(
None,
{"stream_timeout": 15.0},
"bedrock",
global_timeout=None,
supports_httpx_timeout=supports_httpx_timeout,
stream_kind=StreamKind.FAKED,
)
== 600.0
)