Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license
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"""Regression tests for the reasoning-model stale-timeout floor (issue #52217).
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Reasoning models (Nemotron 3 Ultra, OpenAI o1/o3, Anthropic Opus 4.x
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thinking, DeepSeek R1, Qwen QwQ, xAI Grok reasoning) routinely exceed
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the 180s / 90s chat-model stale-timeout defaults during their
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thinking phase. Hermes's default cloud-stream stale detector
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(``HERMES_STREAM_STALE_TIMEOUT`` = 180s) and non-stream detector
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(``HERMES_API_CALL_STALE_TIMEOUT`` = 90s) both fire before the
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upstream proxy's idle timeout on a healthy reasoning stream. Result:
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the user sees ``API call failed after 3 retries: [Errno 32] Broken
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pipe`` for every Nemotron 3 Ultra turn.
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These tests pin the floor's behavior:
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1. ``get_reasoning_stale_timeout_floor`` returns the right floor for
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every key in the allowlist, ``None`` for every negative case
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(gpt-4o, olmo-1, etc.), and longest-substring-first wins on
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shared prefixes (``o3-mini-`` > ``o3-``).
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2. The non-stream resolver at
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``run_agent.py:AIAgent._resolved_api_call_stale_timeout_base``
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consults the floor at priority 4 (after explicit user config,
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provider config, and env var; before the 90s default), and
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returns ``uses_implicit_default=False`` so the local-endpoint
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short-circuit in ``_compute_non_stream_stale_timeout`` does not
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disable stale detection for a reasoning model running on a local
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NIM endpoint.
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3. The stream stale-timeout resolution (mirrored here as in
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``test_stream_read_timeout_floor.py`` because the real builder
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lives inside a worker thread) consults the floor after the
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context-size scaling block, raising the timeout for reasoning
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models without lowering it for non-reasoning models.
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"""
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from __future__ import annotations
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from pathlib import Path
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import pytest
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# ── pure-function resolver ────────────────────────────────────────────────
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@pytest.mark.parametrize("model,expected", [
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# NVIDIA Nemotron reasoning family (longest keys first).
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("nvidia/nemotron-3.5-lightning-30b-a3b", 300.0),
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("nvidia/nemotron-3-ultra-550b-a55b", 600.0),
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("nvidia/nemotron-3-super-120b-a12b", 600.0),
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("nvidia/nemotron-3-nano-30b-a3b", 300.0),
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# DeepSeek R1 + DeepSeek reasoner + V4 reasoning series.
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# V4 emits reasoning_content in a separate delta before final
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# content (same shape as R1), so it needs the same 600s floor.
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("deepseek/deepseek-r1", 600.0),
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("deepseek/deepseek-r1-distill-llama-70b", 600.0),
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("deepseek/deepseek-reasoner", 600.0),
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("deepseek/deepseek-v4-flash", 600.0),
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("deepseek/deepseek-v4-pro", 600.0),
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("deepseek-v4-flash-free", 600.0), # catalog -free variant inherits via separator anchor
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# Qwen QwQ + Qwen3 thinking variants (qwen3 family entry matches all).
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("qwen/qwq-32b-preview", 300.0),
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("qwen/qwen3-235b-a22b-thinking", 180.0),
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("qwen/qwen3-32b", 180.0),
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# OpenAI o-series — each variant enumerated explicitly.
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# Longest match wins (o3-mini beats o3 on shared prefix).
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("openai/o1", 600.0),
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("openai/o1-mini", 600.0),
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("openai/o1-pro", 600.0),
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("openai/o1-preview", 600.0),
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("openai/o3", 600.0),
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("openai/o3-pro", 600.0),
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("openai/o3-mini", 300.0),
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("openai/o4-mini", 300.0),
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# Anthropic Claude 4.x thinking variants.
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("anthropic/claude-opus-4-6", 240.0),
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("anthropic/claude-opus-4-20250514", 240.0),
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("anthropic/claude-sonnet-4.5", 180.0),
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("anthropic/claude-sonnet-4.6", 180.0),
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# Anthropic Mythos-class named reasoning models — deep-reasoning tier.
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("anthropic/claude-fable-5", 600.0),
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("claude-fable-5", 600.0),
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("claude-fable", 600.0),
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# xAI Grok reasoning variants — explicit, not bare `grok`.
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("x-ai/grok-4-fast-reasoning", 300.0),
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("x-ai/grok-4.20-reasoning", 300.0),
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("x-ai/grok-4.5", 300.0),
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("x-ai/grok-4.6", 300.0),
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("x-ai/grok-4-fast-non-reasoning", 180.0),
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# Thinking Machines Inkling — family entry covers -small and the
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# OpenRouter :free / :batch SKU suffixes (":" is a slug separator
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# in the right anchor, same as "-").
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("thinkingmachines/inkling", 300.0),
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("thinkingmachines/inkling:free", 300.0),
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("thinkingmachines/inkling-small:free", 300.0),
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])
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def test_reasoning_stale_timeout_floor_positive_cases(model, expected):
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from agent.reasoning_timeouts import get_reasoning_stale_timeout_floor
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assert get_reasoning_stale_timeout_floor(model) == expected, (
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f"get_reasoning_stale_timeout_floor({model!r}) should return "
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f"{expected}; bare substrings and shared prefixes must not "
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f"over-match community derivatives."
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)
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# ── integration: _resolved_api_call_stale_timeout_base ─────────────────────
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def _write_config(tmp_path: Path, body: str) -> None:
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(tmp_path / "config.yaml").write_text(body or "{}\n", encoding="utf-8")
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def _make_agent(tmp_path: Path, **overrides):
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from run_agent import AIAgent
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kwargs = dict(
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model="gpt-5.5",
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provider="openai-codex",
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api_key="sk-dummy",
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base_url="https://chatgpt.com/backend-api/codex",
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quiet_mode=True,
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skip_context_files=True,
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skip_memory=True,
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platform="cli",
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)
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kwargs.update(overrides)
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return AIAgent(**kwargs)
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def test_non_reasoning_model_keeps_default(monkeypatch, tmp_path):
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"""GPT-5 (non-reasoning) without env var / config -> 90s default, implicit."""
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monkeypatch.setenv("HERMES_HOME", str(tmp_path))
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(tmp_path / ".env").write_text("", encoding="utf-8")
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monkeypatch.delenv("HERMES_API_CALL_STALE_TIMEOUT", raising=False)
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_write_config(tmp_path, "")
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# No provider config, no env var, no floor match -> 90s implicit default.
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import run_agent
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monkeypatch.setattr(run_agent, "get_provider_stale_timeout", lambda *a, **k: None)
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agent = _make_agent(
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tmp_path,
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provider="openai",
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base_url="https://api.openai.com/v1",
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model="gpt-5.5",
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)
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base, implicit = agent._resolved_api_call_stale_timeout_base()
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assert base == 90.0
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assert implicit is True
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# ── stream-side mirror (the real builder lives in a worker thread) ────────
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def _resolve_stream_stale_timeout(
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model: str | None,
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base_url: str,
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est_tokens: int,
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stale_base: float = 180.0,
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) -> float:
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"""Mirror of the stale-stream resolution in agent/chat_completion_helpers.py.
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Kept in lockstep with the production code at lines 2539-2575 of
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agent/chat_completion_helpers.py. When that block changes, this
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mirror must change too — the failing-test signal is the divergence.
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"""
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from agent.model_metadata import is_local_endpoint
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from agent.reasoning_timeouts import get_reasoning_stale_timeout_floor
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# Provider-configured stale timeout wins (mirrors get_provider_stale_timeout).
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if stale_base != 180.0:
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pass # In production this is sourced from config; here we parameterize.
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if stale_base == 180.0 and base_url and is_local_endpoint(base_url):
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return float("inf")
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if est_tokens > 100_000:
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timeout = max(stale_base, 300.0)
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elif est_tokens > 50_000:
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timeout = max(stale_base, 240.0)
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else:
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timeout = stale_base
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# Reasoning-model floor (the new branch this PR adds).
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floor = get_reasoning_stale_timeout_floor(model)
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if floor is not None:
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timeout = max(timeout, floor)
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return timeout
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def test_stream_stale_timeout_floor_for_nemotron_3_ultra():
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"""Small-context Nemotron 3 Ultra without explicit config -> 600s floor.
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Without the floor, this would be 180s (the default), which is shorter
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than NVIDIA NIM's ~120s upstream idle kill — guaranteeing broken pipe.
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"""
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timeout = _resolve_stream_stale_timeout(
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model="nvidia/nemotron-3-ultra-550b-a55b",
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base_url="https://integrate.api.nvidia.com/v1",
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est_tokens=10_000,
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)
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assert timeout == 600.0
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