Gate C11 r4 quality: the `flags &= {True, False}` set filter let YAML
`1` count as an opt-in because 1 == True in a set. Keep only bool values
so a stray 1/0 never promotes private reasoning. New parametrize row
(acme-int, value 1) is red without this.
243 lines
9.9 KiB
Python
243 lines
9.9 KiB
Python
"""Tests for reasoning-only final responses.
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A clean-stop response (``finish_reason == "stop"``) with no ordinary content but
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structured reasoning is promoted only for an explicitly trusted route; private reasoning
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stays in the recovery path and never becomes the visible reply. Idea credit: PR #48795
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(@ligl0325).
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Invariants pinned here:
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- Trusted clean-stop reasoning-only → returned and persisted after ONE API call.
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- ``finish_reason == "length"`` reasoning is unfinished: never promoted, the
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continuation path still owns it.
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- A truly empty response (no reasoning either) still reaches the ladder terminal.
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- Untrusted-route private reasoning is never promoted nor echoed on exhaustion.
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"""
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from __future__ import annotations
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import sys
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import types
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from types import SimpleNamespace
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import pytest
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# Stub optional heavy imports so run_agent imports cleanly in isolation.
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sys.modules.setdefault("fire", types.SimpleNamespace(Fire=lambda *a, **k: None))
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sys.modules.setdefault("firecrawl", types.SimpleNamespace(Firecrawl=object))
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sys.modules.setdefault("fal_client", types.SimpleNamespace())
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# Provider-level ``capabilities:`` opt-ins: the fixture's own route and a second custom provider
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# (plus an un-opted sibling on that provider's endpoint).
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_OPTED_IN_PROVIDERS = [
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{"name": "local", "base_url": "https://example.invalid/v1", "capabilities": {"answer_in_reasoning": True}},
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{"name": "acme", "base_url": "https://llm.example.com/v1", "model": "acme/reasoner",
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"capabilities": {"answer_in_reasoning": True}},
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{"name": "acme-plain", "base_url": "https://llm.example.com/v1"}, # same endpoint, no opt-in
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{"name": "acme-int", "base_url": "https://int.example.com/v1", "capabilities": {"answer_in_reasoning": 1}}, # not a bool
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]
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def _build_agent(tmp_path, monkeypatch):
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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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(tmp_path / "config.yaml").write_text("{}\n", encoding="utf-8")
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from run_agent import AIAgent
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agent = AIAgent(
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model="test-model",
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api_key="sk-dummy",
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base_url="https://example.invalid/v1",
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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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# Route through the non-streaming _interruptible_api_call path so the
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# monkeypatched fake responses are what the loop consumes.
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agent._disable_streaming = True
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# The fixture route is opted in through its custom_providers entry (no constructor
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# ``capabilities=``, as on CLI/TUI). Private reasoning tests move to an untrusted route.
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agent._custom_providers = _OPTED_IN_PROVIDERS
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return agent
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def _reasoning_only_response(finish_reason="stop"):
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return SimpleNamespace(
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choices=[SimpleNamespace(
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message=SimpleNamespace(
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content=None,
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reasoning="The answer is 42 because of the calculation above.",
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reasoning_content=None,
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reasoning_details=None,
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tool_calls=None,
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),
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finish_reason=finish_reason,
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)],
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usage=None,
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model="test-model",
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)
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def _truly_empty_response():
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return SimpleNamespace(
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choices=[SimpleNamespace(
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message=SimpleNamespace(
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content="",
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reasoning=None,
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reasoning_content=None,
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reasoning_details=None,
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tool_calls=None,
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),
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finish_reason="stop",
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)],
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usage=None,
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model="test-model",
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)
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def _private_reasoning_only_response():
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return SimpleNamespace(
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choices=[SimpleNamespace(
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message=SimpleNamespace(
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content=None,
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reasoning="private thoughts that must not be shown",
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reasoning_content="private thoughts that must not be shown",
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reasoning_details=None,
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tool_calls=None,
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),
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finish_reason="stop",
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)],
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usage=None,
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model="deepseek/deepseek-v4.1",
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)
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def test_clean_stop_reasoning_only_returns_on_first_call(tmp_path, monkeypatch):
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"""A clean stop promotes structured reasoning without a recovery call."""
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agent = _build_agent(tmp_path, monkeypatch)
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monkeypatch.setattr(
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agent, "_interruptible_api_call",
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lambda api_kwargs: _reasoning_only_response(),
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)
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result = agent.run_conversation("what is the answer?")
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assert result["final_response"] == "The answer is 42 because of the calculation above."
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assert result["api_calls"] == 1
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# The promoted text replays as a real answer through the api_content sidecar; the row's
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# own content stays empty so chain-of-thought is never persisted as an ordinary reply.
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row = result["messages"][-1]
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assert row["role"] == "assistant"
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assert not row.get("content")
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assert row["api_content"] == "The answer is 42 because of the calculation above."
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def test_exhausted_truly_empty_keeps_existing_behavior(tmp_path, monkeypatch):
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"""No reasoning anywhere → behavior unchanged from main: the '(empty)'
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terminal (possibly rewritten by the downstream turn-completion explainer)
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is delivered, and no reasoning excerpt appears."""
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agent = _build_agent(tmp_path, monkeypatch)
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monkeypatch.setattr(
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agent, "_interruptible_api_call",
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lambda api_kwargs: _truly_empty_response(),
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)
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result = agent.run_conversation("hello?")
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final = result["final_response"]
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# Either the raw sentinel (explainer off) or the explainer's rewrite —
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# never the reasoning-excerpt frame, which requires reasoning to exist.
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assert final == "(empty)" or final.startswith("⚠️ No reply:")
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assert "only internal reasoning" not in final
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def test_length_cut_reasoning_is_not_promoted(tmp_path, monkeypatch):
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"""``finish_reason == "length"`` means the model was cut off mid-thought: the reasoning
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is not an answer, so the continuation path runs and the model's real text wins."""
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agent = _build_agent(tmp_path, monkeypatch)
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responses = [
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_reasoning_only_response(finish_reason="length"),
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SimpleNamespace(
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choices=[SimpleNamespace(
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message=SimpleNamespace(
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content="42.",
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reasoning=None,
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reasoning_content=None,
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reasoning_details=None,
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tool_calls=None,
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),
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finish_reason="stop",
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)],
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usage=None,
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model="test-model",
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),
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]
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monkeypatch.setattr(
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agent, "_interruptible_api_call",
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lambda api_kwargs: responses.pop(0),
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)
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result = agent.run_conversation("what is the answer?")
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assert result["final_response"] == "42."
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assert result["api_calls"] == 2
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@pytest.mark.parametrize("provider, base_url, model, final, calls", [
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("openrouter", "https://openrouter.ai/api/v1", "deepseek/deepseek-v4.1", "the visible answer", 2),
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("vllm", "http://127.0.0.1:8000/v1", "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4",
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"private thoughts that must not be shown", 1),
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(("custom", "custom:acme"), "https://llm.example.com/v1", "acme/reasoner", "private thoughts that must not be shown", 1),
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("custom", "https://llm.example.com/v1", "acme/after-model-switch", "private thoughts that must not be shown", 1),
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("custom", "https://fallback.example.com/v1", "acme/reasoner", "the visible answer", 2),
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(("custom", "custom:acme-plain"), "https://llm.example.com/v1", "acme/reasoner", "the visible answer", 2),
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("custom:acme-int", "https://int.example.com/v1", "acme/reasoner", "the visible answer", 2),
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])
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def test_reasoning_promotion_requires_a_trusted_route(tmp_path, monkeypatch, provider, base_url, model, final, calls):
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"""Private reasoning on an untrusted route retries to the visible answer and never
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surfaces; the local Nemotron parser route (#109205) and a provider-level ``capabilities:``
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opt-in promote in one call, re-read on the live route (any model on that provider, never a
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fallback on another base_url), with no constructor ``capabilities=`` (CLI/TUI)."""
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agent = _build_agent(tmp_path, monkeypatch)
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# A (provider, requested_provider) pair is the startup/gateway shape for a named custom provider.
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agent.provider, agent.requested_provider = provider if isinstance(provider, tuple) else (provider, provider)
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agent.base_url, agent.model = base_url, model
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responses = [
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_private_reasoning_only_response(),
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SimpleNamespace(
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choices=[SimpleNamespace(
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message=SimpleNamespace(
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content="the visible answer",
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reasoning=None,
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reasoning_content=None,
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reasoning_details=None,
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tool_calls=None,
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),
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finish_reason="stop",
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)],
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usage=None,
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model=model,
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),
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]
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monkeypatch.setattr(agent, "_interruptible_api_call", lambda api_kwargs: responses.pop(0))
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result = agent.run_conversation("what is the answer?")
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assert result["final_response"] == final
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assert result["api_calls"] == calls
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assert all("private thoughts" not in str(message.get("content", "")) for message in result["messages"])
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def test_private_reasoning_is_not_echoed_when_recovery_exhausts(tmp_path, monkeypatch):
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"""Exhausted recovery returns the empty sentinel without exposing a private preview."""
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agent = _build_agent(tmp_path, monkeypatch)
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agent.provider = "openrouter"
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agent.base_url = "https://openrouter.ai/api/v1"
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monkeypatch.setattr(agent, "_interruptible_api_call", lambda api_kwargs: _private_reasoning_only_response())
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result = agent.run_conversation("hello?")
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assert "private thoughts" not in result["final_response"]
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assert all("private thoughts" not in str(message.get("content", "")) for message in result["messages"])
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