fix(providers): guard chat_with_retry against explicit None max_tokens (#3102)
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@@ -521,3 +521,59 @@ async def test_persistent_retry_emits_terminal_progress_on_identical_error_limit
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assert response.finish_reason == "error"
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assert progress[-1] == "Persistent retry stopped after 10 identical errors."
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@pytest.mark.asyncio
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async def test_chat_with_retry_normalizes_explicit_none_max_tokens() -> None:
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"""Explicit max_tokens=None must fall back to generation defaults.
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Regression for #3102: callers that construct AgentRunSpec with
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max_tokens=None propagate None into chat_with_retry, which used to
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reach ``_build_kwargs`` and crash on ``max(1, None)``.
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"""
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provider = ScriptedProvider([LLMResponse(content="ok")])
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response = await provider.chat_with_retry(
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messages=[{"role": "user", "content": "hi"}],
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max_tokens=None,
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temperature=None,
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)
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assert response.content == "ok"
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# Generation settings default to 4096 / 0.7; explicit None should
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# have been replaced before reaching chat().
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assert provider.last_kwargs["max_tokens"] == 4096
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assert provider.last_kwargs["temperature"] == 0.7
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@pytest.mark.asyncio
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async def test_chat_with_retry_hard_fallback_when_generation_max_tokens_is_none() -> None:
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"""Final fallback: even if provider.generation.max_tokens is None,
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chat() must receive the GenerationSettings class default (not None)."""
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provider = ScriptedProvider([LLMResponse(content="ok")])
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# Bypass the dataclass type hint by constructing with None explicitly.
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provider.generation = GenerationSettings(max_tokens=None, temperature=None) # type: ignore[arg-type]
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response = await provider.chat_with_retry(
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messages=[{"role": "user", "content": "hi"}],
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)
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assert response.content == "ok"
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assert provider.last_kwargs["max_tokens"] == GenerationSettings.max_tokens
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assert provider.last_kwargs["temperature"] == GenerationSettings.temperature
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@pytest.mark.asyncio
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async def test_chat_stream_with_retry_normalizes_explicit_none_max_tokens() -> None:
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"""chat_stream_with_retry must apply the same None-guard as chat_with_retry."""
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provider = ScriptedProvider([LLMResponse(content="ok")])
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response = await provider.chat_stream_with_retry(
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messages=[{"role": "user", "content": "hi"}],
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max_tokens=None,
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temperature=None,
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)
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assert response.content == "ok"
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assert provider.last_kwargs["max_tokens"] == 4096
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assert provider.last_kwargs["temperature"] == 0.7
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