[fix] The "write_tools" module actively shuts down the client, and it closes before the task event loop is completed.
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@@ -274,5 +274,21 @@ async def write(
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except Exception as cache_err:
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logger.warning(f"[WRITE] 写入活动统计缓存失败(不影响主流程): {cache_err}", exc_info=True)
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# Close LLM/Embedder underlying httpx clients to prevent
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# 'RuntimeError: Event loop is closed' during garbage collection
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for client_obj in (llm_client, embedder_client):
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try:
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underlying = getattr(client_obj, 'client', None) or getattr(client_obj, 'model', None)
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if underlying is None:
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continue
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# Unwrap RedBearLLM / RedBearEmbeddings to get the LangChain model
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inner = getattr(underlying, '_model', underlying)
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# LangChain OpenAI models expose async_client (httpx.AsyncClient)
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http_client = getattr(inner, 'async_client', None)
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if http_client is not None and hasattr(http_client, 'aclose'):
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await http_client.aclose()
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except Exception:
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pass
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logger.info("=== Pipeline Complete ===")
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logger.info(f"Total execution time: {total_time:.2f} seconds")
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