fix: preserve empty-string reasoning_content instead of coercing to None
Custom providers (e.g. DeepSeek) may return reasoning_content as an empty string "" to explicitly indicate no reasoning occurred. The previous truthiness checks (, ) treated "" as falsy and converted it to None, which caused the field to be dropped from the message history entirely. Providers that require reasoning_content on all assistant messages then rejected subsequent requests. Replace truthiness checks with identity checks () so that empty-string reasoning_content is preserved as-is. The streaming path is unchanged since an empty join genuinely means no chunks received. Fixes #4105
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@@ -9,7 +9,6 @@ from unittest.mock import patch
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from nanobot.providers.openai_compat_provider import OpenAICompatProvider
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# ── _parse: non-streaming ─────────────────────────────────────────────────
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@@ -52,6 +51,32 @@ def test_parse_dict_reasoning_content_none_when_absent() -> None:
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assert result.reasoning_content is None
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def test_parse_dict_reasoning_content_empty_string_preserved() -> None:
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"""reasoning_content=\"\" is preserved, not coerced to None.
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Some providers (e.g. DeepSeek) require the reasoning_content key to
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be present in subsequent requests even when empty. Coercing \"\" to
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None drops the key downstream and causes API errors.
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"""
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with patch("nanobot.providers.openai_compat_provider.AsyncOpenAI"):
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provider = OpenAICompatProvider()
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response = {
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"choices": [{
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"message": {
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"content": "answer",
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"reasoning_content": "",
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},
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"finish_reason": "stop",
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}],
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"usage": {"prompt_tokens": 5, "completion_tokens": 3, "total_tokens": 8},
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}
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result = provider._parse(response)
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assert result.reasoning_content == ""
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# ── _parse_chunks: streaming dict branch ─────────────────────────────────
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