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fix: 修复 kimi-for-coding 开启思考模式无法回复的问题 #7658

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Blueteemo wants to merge 5 commits into from
+30 −24
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fix: 修复 kimi-for-coding 开启思考模式无法回复的问题 #7658

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3c02c8b
fix: handle reasoning_content when completion_text is empty
Apr 18, 2026
47a1cfb
fix: use MessageChain(type=reasoning) for reasoning_content fallback
Apr 18, 2026
75ba5fb
chore: remove pr_body.md
Apr 19, 2026
f76ec56
refactor: extract _yield_llm_result_response helper to eliminate dupl…
Apr 19, 2026
f2b7eee
fix: use for loop instead of yield from in async function
Apr 19, 2026
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54 changes: 30 additions & 24 deletions astrbot/core/agent/runners/tool_loop_agent_runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,32 @@ async def _complete_with_assistant_response(self, llm_resp: LLMResponse) -> None
logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
self._resolve_unconsumed_follow_ups()

def _yield_llm_result_response(
self, llm_resp: LLMResponse
) -> T.Generator[AgentResponse, None, None]:
"""Yield an AgentResponse for llm_result based on llm_resp content."""
if llm_resp.result_chain:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(chain=llm_resp.result_chain),
)
elif llm_resp.completion_text:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(
chain=MessageChain().message(llm_resp.completion_text),
),
)
elif llm_resp.reasoning_content:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(
chain=MessageChain(type="reasoning").message(
llm_resp.reasoning_content,
),
),
)

@override
async def reset(
self,
Expand Down Expand Up @@ -718,18 +744,8 @@ async def step(self):
await self._complete_with_assistant_response(llm_resp)

# 返回 LLM 结果
if llm_resp.result_chain:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(chain=llm_resp.result_chain),
)
elif llm_resp.completion_text:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(
chain=MessageChain().message(llm_resp.completion_text),
),
)
for response in self._yield_llm_result_response(llm_resp):
yield response

# 如果有工具调用，还需处理工具调用
if llm_resp.tools_call_name:
Expand All @@ -739,18 +755,8 @@ async def step(self):
logger.warning(
"skills_like tool re-query returned no tool calls; fallback to assistant response."
)
if llm_resp.result_chain:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(chain=llm_resp.result_chain),
)
elif llm_resp.completion_text:
yield AgentResponse(
type="llm_result",
data=AgentResponseData(
chain=MessageChain().message(llm_resp.completion_text),
),
)
for response in self._yield_llm_result_response(llm_resp):
yield response
await self._complete_with_assistant_response(llm_resp)
return

Expand Down
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