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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-06-02 00:57:41 +08:00
fix(agent): don't drop tool_calls from empty-response retry
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@@ -254,8 +254,15 @@ class AgentStreamExecutor:
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assistant_msg, tool_calls = self._call_llm_stream(retry_on_empty=False)
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final_response = assistant_msg
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# 如果还是空,才使用 fallback
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if not assistant_msg and not tool_calls:
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# If LLM responded with tool_calls instead of text, fall through
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# to the tool execution path below (don't break the loop).
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if tool_calls:
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logger.info(
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f"[Agent] LLM returned tool_calls in explicit-response retry, "
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f"continuing to execute tools instead of breaking"
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)
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elif not assistant_msg:
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# Still empty (no text and no tool_calls): use fallback
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logger.warning(f"[Agent] Still empty after explicit request")
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final_response = (
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"抱歉,我暂时无法生成回复。请尝试换一种方式描述你的需求,或稍后再试。"
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@@ -270,12 +277,15 @@ class AgentStreamExecutor:
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else:
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logger.info(f"💭 {assistant_msg[:150]}{'...' if len(assistant_msg) > 150 else ''}")
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logger.debug(f"✅ 完成 (无工具调用)")
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self._emit_event("turn_end", {
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"turn": turn,
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"has_tool_calls": False
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})
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break
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# If the explicit-response retry produced tool_calls, skip the break
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# and continue down to the tool execution branch in this same iteration.
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if not tool_calls:
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logger.debug(f"✅ 完成 (无工具调用)")
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self._emit_event("turn_end", {
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"turn": turn,
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"has_tool_calls": False
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})
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break
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# Log tool calls with arguments
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tool_calls_str = []
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