Daoyuan Li 3e7baba39a
fix(models): apply stream_chunk_timeout default to all BaseChatOpenAI subclasses (#4102)
* fix(models): apply stream_chunk_timeout default to all BaseChatOpenAI subclasses

The 240s stream_chunk_timeout default (issue #3189, PR #3195) was scoped to a
class-path allowlist of only ChatOpenAI and PatchedChatOpenAI. Every other
OpenAI-compatible provider that subclasses BaseChatOpenAI — VllmChatModel,
MindIEChatModel, PatchedChatDeepSeek, PatchedChatMiMo, PatchedChatStepFun and
PatchedChatMiniMax — was excluded, so they kept langchain-openai's aggressive
120s built-in chunk-gap timeout and, worse, silently discarded a user's explicit
stream_chunk_timeout override from config.yaml. Issue #3189 was itself reported
on mimo-v2.5 (PatchedChatMiMo), the exact class the original fix left out.

Gate the injection on issubclass(model_class, BaseChatOpenAI) instead of the
string allowlist, so any OpenAI-compatible subclass inherits the default and
honors an explicit override. Genuinely non-OpenAI clients (e.g. ChatAnthropic)
stay excluded and still have the kwarg dropped before it reaches a constructor
that would divert it into model_kwargs and fail at request time.

* fix(models): address review nits on stream_chunk_timeout default

Correct the module-level comment above _DEFAULT_STREAM_CHUNK_TIMEOUT_SECONDS:
langchain-openai's built-in stream_chunk_timeout default is 120s, not 60s
(BaseChatOpenAI.stream_chunk_timeout's default_factory reads
LANGCHAIN_OPENAI_STREAM_CHUNK_TIMEOUT_S with a 120.0 fallback).

Simplify the BaseChatOpenAI gate in _apply_stream_chunk_timeout_default from
`isinstance(model_class, type) and issubclass(model_class, BaseChatOpenAI)` to
just `issubclass(...)`. The sole caller passes model_class from
resolve_class(), which already raises before returning anything that isn't a
type, so the isinstance half can never be False there.

Also soften the docstring's non-OpenAI-client bullet: ChatAnthropic declares
extra="ignore" and silently drops an unrecognized kwarg rather than diverting
it into model_kwargs and failing at request time (that failure mode is
specific to other OpenAI-style clients).
2026-07-13 21:28:44 +08:00
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