Squashed integration of the user-facing message audit for this surface set. Full per-finding receipts: /tmp/ux-audit/lanes/*-receipt.md (campaign artifacts).
52 lines
2.5 KiB
Python
52 lines
2.5 KiB
Python
"""Thinking-timeout detection and user-facing guidance for reasoning models.
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A known reasoning model hitting a transport-layer error before the first content token was
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almost certainly idle-killed mid-think by the upstream proxy — not a context overflow — so
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the generic stream-drop guidance in conversation_loop is wrong for that case.
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"""
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from __future__ import annotations
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from typing import Optional
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# Transport-layer failure signatures: the classifier's server-disconnect set plus the OS-level
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# ``broken pipe`` / ``errno 32`` the upstream kill surfaces through the OpenAI SDK wrapper.
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_THINKING_TIMEOUT_SUBSTRINGS: tuple[str, ...] = (
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"broken pipe", "errno 32", "remote protocol", "connection reset", "connection lost",
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"peer closed", "server disconnected",
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)
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def is_thinking_timeout(classified: object, model: str, error_msg: str) -> bool:
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"""True when a reasoning model's thinking phase hit a transport kill.
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All must hold: ``classified.reason`` is the ``timeout`` FailoverReason (duck-typed via
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``.value`` to avoid importing error_classifier), ``model`` is in the reasoning allowlist,
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and ``error_msg`` carries a transport-kill substring. The caller gates on the error having
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no HTTP ``status_code``.
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"""
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from agent.reasoning_timeouts import get_reasoning_stale_timeout_floor
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if getattr(getattr(classified, "reason", None), "value", None) != "timeout":
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return False
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if get_reasoning_stale_timeout_floor(model) is None:
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return False
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return any(p in (error_msg or "").lower() for p in _THINKING_TIMEOUT_SUBSTRINGS)
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def build_thinking_timeout_guidance(provider: str, model: str, model_label: Optional[str] = None) -> str:
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"""User-facing guidance appended to the final response: easiest fix first (``/reasoning
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low``), the config knob last. ``model`` is used verbatim in the config path so it is
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copy-pasteable; ``model_label`` is the optional prose name."""
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from hermes_constants import display_hermes_home
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label = model_label or model
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return (
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f"{label} was thinking for so long that the connection timed out before it wrote anything "
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"(common for reasoning models behind cloud gateways such as NVIDIA NIM, OpenAI, Anthropic, "
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"DeepSeek). Easiest fixes: `/reasoning low`, or switch to a faster model with /model. "
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f"Advanced: set `providers.{provider}.models.{model}.stale_timeout_seconds: 900` in "
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f"`{display_hermes_home()}/config.yaml` to allow a longer wait."
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)
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