1053 lines
87 KiB
Plaintext
1053 lines
87 KiB
Plaintext
2025-10-16 14:00:06,683 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
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2025-10-16 14:00:06,782 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
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2025-10-16 14:00:06,783 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
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2025-10-16 14:00:06,783 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
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2025-10-16 14:00:07,390 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
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2025-10-16 14:00:07,396 | INFO | workflow | info:107 | 📊 工作流图构建完成
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2025-10-16 14:00:07,396 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
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2025-10-16 14:00:07,396 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
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2025-10-16 14:00:19,273 | INFO | workflow | info:107 | 🚀 工作流开始: dd827309-6213-4f5b-938f-d8a6069ff6b2
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2025-10-16 14:00:19,276 | ERROR | workflow | error:115 | ❌ 工作流执行失败: 'async for' requires an object with __aiter__ method, got coroutine
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2025-10-16 14:04:05,200 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
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2025-10-16 14:04:05,318 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
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2025-10-16 14:04:05,319 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
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2025-10-16 14:04:05,322 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
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2025-10-16 14:04:05,839 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
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2025-10-16 14:04:05,849 | INFO | workflow | info:107 | 📊 工作流图构建完成
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2025-10-16 14:04:05,849 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
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2025-10-16 14:04:05,850 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
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2025-10-16 14:04:19,639 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
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2025-10-16 14:04:19,804 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
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2025-10-16 14:04:19,805 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
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2025-10-16 14:04:19,805 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
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2025-10-16 14:04:20,188 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
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2025-10-16 14:04:20,196 | INFO | workflow | info:107 | 📊 工作流图构建完成
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2025-10-16 14:04:20,196 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
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2025-10-16 14:04:20,196 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
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2025-10-16 14:04:20,197 | INFO | workflow | info:107 | 🚀 工作流开始: 697c4ab0-b4ff-4ccb-bdbe-f4055150928c
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2025-10-16 14:04:20,197 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
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2025-10-16 14:04:20,197 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
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2025-10-16 14:04:20,345 | ERROR | workflow | error:115 | ❌ 节点错误: intent_analysis - All connection attempts failed
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2025-10-16 14:04:20,345 | ERROR | workflow | exception:123 | 节点 intent_analysis 异常详情
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Traceback (most recent call last):
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
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yield
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
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resp = await self._pool.handle_async_request(req)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
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raise exc from None
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
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response = await connection.handle_async_request(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
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raise exc
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
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stream = await self._connect(request)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
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stream = await self._network_backend.connect_tcp(**kwargs)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
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return await self._backend.connect_tcp(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
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with map_exceptions(exc_map):
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File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
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self.gen.throw(value)
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
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raise to_exc(exc) from exc
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httpcore.ConnectError: All connection attempts failed
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The above exception was the direct cause of the following exception:
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Traceback (most recent call last):
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File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 122, in analyze_intent
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response = await self._router_model.ainvoke(messages)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 417, in ainvoke
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llm_result = await self.agenerate_prompt(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1036, in agenerate_prompt
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return await self.agenerate(
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^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 994, in agenerate
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raise exceptions[0]
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1164, in _agenerate_with_cache
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result = await self._agenerate(
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^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 996, in _agenerate
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final_chunk = await self._achat_stream_with_aggregation(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 783, in _achat_stream_with_aggregation
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async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
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async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
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async for part in await self._async_client.chat(**chat_params):
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
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async with self._client.stream(*args, **kwargs) as r:
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File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
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return await anext(self.gen)
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^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
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response = await self.send(
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^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
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response = await self._send_handling_auth(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
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response = await self._send_handling_redirects(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
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response = await self._send_single_request(request)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
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response = await transport.handle_async_request(request)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
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with map_httpcore_exceptions():
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File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
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self.gen.throw(value)
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
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raise mapped_exc(message) from exc
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httpx.ConnectError: All connection attempts failed
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2025-10-16 14:04:20,354 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
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2025-10-16 14:04:20,354 | ERROR | workflow | error:115 | ❌ 工作流执行失败: "WorkflowState" object has no field "next_node"
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2025-10-16 14:04:20,354 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
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2025-10-16 14:04:55,965 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
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2025-10-16 14:04:56,077 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
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2025-10-16 14:04:56,077 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
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2025-10-16 14:04:56,077 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
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2025-10-16 14:04:56,517 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
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||
2025-10-16 14:04:56,523 | INFO | workflow | info:107 | 📊 工作流图构建完成
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||
2025-10-16 14:04:56,524 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
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||
2025-10-16 14:04:56,524 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
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||
2025-10-16 14:04:56,524 | INFO | workflow | info:107 | 🚀 工作流开始: 95e78714-72f4-4a5c-80da-03d4d64635aa
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2025-10-16 14:04:56,524 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
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||
2025-10-16 14:04:56,525 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:04:56,579 | ERROR | workflow | error:115 | ❌ 节点错误: intent_analysis - All connection attempts failed
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||
2025-10-16 14:04:56,579 | ERROR | workflow | exception:123 | 节点 intent_analysis 异常详情
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||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
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||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
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||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
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||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
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raise exc
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||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
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stream = await self._connect(request)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
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stream = await self._network_backend.connect_tcp(**kwargs)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
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return await self._backend.connect_tcp(
|
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
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with map_exceptions(exc_map):
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File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
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raise to_exc(exc) from exc
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httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
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Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 122, in analyze_intent
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response = await self._router_model.ainvoke(messages)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 417, in ainvoke
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llm_result = await self.agenerate_prompt(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1036, in agenerate_prompt
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return await self.agenerate(
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^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 994, in agenerate
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raise exceptions[0]
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1164, in _agenerate_with_cache
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result = await self._agenerate(
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^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 996, in _agenerate
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final_chunk = await self._achat_stream_with_aggregation(
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 783, in _achat_stream_with_aggregation
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async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
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async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
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async for part in await self._async_client.chat(**chat_params):
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
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async with self._client.stream(*args, **kwargs) as r:
|
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File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
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^^^^^^^^^^^^^^^^^^^^^
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
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^^^^^^^^^^^^^^^^
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
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File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:04:56,588 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:04:56,588 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.3)
|
||
2025-10-16 14:04:56,588 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:04:56,597 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:04:56,598 | ERROR | workflow | error:115 | ❌ 节点错误: natural_chat - LangSmithService.log_model_call() got an unexpected keyword argument 'input_messages'
|
||
2025-10-16 14:04:56,598 | ERROR | workflow | exception:123 | 节点 natural_chat 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/workflows/nodes/natural_chat.py", line 50, in natural_chat_node
|
||
langsmith_service.log_model_call(
|
||
TypeError: LangSmithService.log_model_call() got an unexpected keyword argument 'input_messages'
|
||
2025-10-16 14:04:56,601 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:05:55,496 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:05:55,595 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:05:55,595 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:05:55,595 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:05:56,031 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:05:56,037 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:05:56,037 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:05:56,037 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:05:56,038 | INFO | workflow | info:107 | 🚀 工作流开始: d7f3b229-e66b-4b24-a14b-c655227ea69e
|
||
2025-10-16 14:05:56,038 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:05:56,038 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:05:56,099 | ERROR | workflow | error:115 | ❌ 节点错误: intent_analysis - All connection attempts failed
|
||
2025-10-16 14:05:56,100 | ERROR | workflow | exception:123 | 节点 intent_analysis 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 122, in analyze_intent
|
||
response = await self._router_model.ainvoke(messages)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 417, in ainvoke
|
||
llm_result = await self.agenerate_prompt(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1036, in agenerate_prompt
|
||
return await self.agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 994, in agenerate
|
||
raise exceptions[0]
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1164, in _agenerate_with_cache
|
||
result = await self._agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 996, in _agenerate
|
||
final_chunk = await self._achat_stream_with_aggregation(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 783, in _achat_stream_with_aggregation
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:05:56,109 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:05:56,110 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.3)
|
||
2025-10-16 14:05:56,110 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:05:56,113 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:05:56,113 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:05:56,143 | ERROR | workflow | error:115 | ❌ 节点错误: chat_generation - All connection attempts failed
|
||
2025-10-16 14:05:56,144 | ERROR | workflow | exception:123 | 节点 chat_generation 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 191, in generate_chat_response_streaming
|
||
async for chunk in self._chat_model.astream(langchain_messages):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 615, in astream
|
||
async for chunk in self._astream(
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 981, in _astream
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:05:56,157 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:05:56,157 | ERROR | workflow | error:115 | ❌ 工作流执行失败: LangSmithService.log_conversation_end() missing 2 required positional arguments: 'total_duration' and 'message_count'
|
||
2025-10-16 14:05:56,158 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:06:36,129 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:06:36,229 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:06:36,229 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:06:36,229 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:06:36,645 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:06:36,653 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:06:36,653 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:06:36,653 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:06:36,654 | INFO | workflow | info:107 | 🚀 工作流开始: f814ffd7-e96e-4c5b-906e-d52d8ba10197
|
||
2025-10-16 14:06:36,654 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:06:36,654 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:06:36,755 | ERROR | workflow | error:115 | ❌ 节点错误: intent_analysis - All connection attempts failed
|
||
2025-10-16 14:06:36,755 | ERROR | workflow | exception:123 | 节点 intent_analysis 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 122, in analyze_intent
|
||
response = await self._router_model.ainvoke(messages)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 417, in ainvoke
|
||
llm_result = await self.agenerate_prompt(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1036, in agenerate_prompt
|
||
return await self.agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 994, in agenerate
|
||
raise exceptions[0]
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1164, in _agenerate_with_cache
|
||
result = await self._agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 996, in _agenerate
|
||
final_chunk = await self._achat_stream_with_aggregation(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 783, in _achat_stream_with_aggregation
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:06:36,771 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:06:36,772 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.3)
|
||
2025-10-16 14:06:36,772 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:06:36,780 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:06:36,781 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:06:36,796 | ERROR | workflow | error:115 | ❌ 节点错误: chat_generation - All connection attempts failed
|
||
2025-10-16 14:06:36,797 | ERROR | workflow | exception:123 | 节点 chat_generation 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 191, in generate_chat_response_streaming
|
||
async for chunk in self._chat_model.astream(langchain_messages):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 615, in astream
|
||
async for chunk in self._astream(
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 981, in _astream
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:06:36,809 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:06:36,809 | INFO | workflow | info:107 | ✅ 工作流完成: f814ffd7-e96e-4c5b-906e-d52d8ba10197
|
||
2025-10-16 14:06:36,810 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:19:51,074 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:19:51,198 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:19:51,198 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:19:51,198 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:19:52,010 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:19:52,025 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:19:52,025 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:19:52,026 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:19:54,898 | INFO | workflow | info:107 | 🚀 工作流开始: f00e128c-0371-445a-a839-94e56af47e64
|
||
2025-10-16 14:19:54,898 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:19:54,899 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:19:55,087 | ERROR | workflow | error:115 | ❌ 节点错误: intent_analysis - All connection attempts failed
|
||
2025-10-16 14:19:55,087 | ERROR | workflow | exception:123 | 节点 intent_analysis 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 122, in analyze_intent
|
||
response = await self._router_model.ainvoke(messages)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 417, in ainvoke
|
||
llm_result = await self.agenerate_prompt(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1036, in agenerate_prompt
|
||
return await self.agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 994, in agenerate
|
||
raise exceptions[0]
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 1164, in _agenerate_with_cache
|
||
result = await self._agenerate(
|
||
^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 996, in _agenerate
|
||
final_chunk = await self._achat_stream_with_aggregation(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 783, in _achat_stream_with_aggregation
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:19:55,107 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:19:55,107 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.3)
|
||
2025-10-16 14:19:55,108 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:19:55,129 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:19:55,130 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:19:55,141 | ERROR | workflow | error:115 | ❌ 节点错误: chat_generation - All connection attempts failed
|
||
2025-10-16 14:19:55,142 | ERROR | workflow | exception:123 | 节点 chat_generation 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
|
||
yield
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 394, in handle_async_request
|
||
resp = await self._pool.handle_async_request(req)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 256, in handle_async_request
|
||
raise exc from None
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection_pool.py", line 236, in handle_async_request
|
||
response = await connection.handle_async_request(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
|
||
raise exc
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 78, in handle_async_request
|
||
stream = await self._connect(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_async/connection.py", line 124, in _connect
|
||
stream = await self._network_backend.connect_tcp(**kwargs)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/auto.py", line 31, in connect_tcp
|
||
return await self._backend.connect_tcp(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_backends/anyio.py", line 113, in connect_tcp
|
||
with map_exceptions(exc_map):
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
|
||
raise to_exc(exc) from exc
|
||
httpcore.ConnectError: All connection attempts failed
|
||
|
||
The above exception was the direct cause of the following exception:
|
||
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/services/ollama_service.py", line 191, in generate_chat_response_streaming
|
||
async for chunk in self._chat_model.astream(langchain_messages):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 615, in astream
|
||
async for chunk in self._astream(
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 981, in _astream
|
||
async for chunk in self._aiterate_over_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 920, in _aiterate_over_stream
|
||
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/langchain_ollama/chat_models.py", line 728, in _acreate_chat_stream
|
||
async for part in await self._async_client.chat(**chat_params):
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/ollama/_client.py", line 736, in inner
|
||
async with self._client.stream(*args, **kwargs) as r:
|
||
File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
|
||
return await anext(self.gen)
|
||
^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1583, in stream
|
||
response = await self.send(
|
||
^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1629, in send
|
||
response = await self._send_handling_auth(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1657, in _send_handling_auth
|
||
response = await self._send_handling_redirects(
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1694, in _send_handling_redirects
|
||
response = await self._send_single_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_client.py", line 1730, in _send_single_request
|
||
response = await transport.handle_async_request(request)
|
||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 393, in handle_async_request
|
||
with map_httpcore_exceptions():
|
||
File "/usr/lib/python3.12/contextlib.py", line 158, in __exit__
|
||
self.gen.throw(value)
|
||
File "/mnt/e/code/courseware/langchain-project/venv/lib/python3.12/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
|
||
raise mapped_exc(message) from exc
|
||
httpx.ConnectError: All connection attempts failed
|
||
2025-10-16 14:19:55,150 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:19:55,150 | INFO | workflow | info:107 | ✅ 工作流完成: f00e128c-0371-445a-a839-94e56af47e64
|
||
2025-10-16 14:22:42,866 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:22:42,969 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:22:42,969 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:22:42,970 | INFO | ollama_service | info:107 | 对话模型: qwen3:8b
|
||
2025-10-16 14:22:43,427 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:22:43,436 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:22:43,436 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:22:43,437 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:22:53,645 | INFO | workflow | info:107 | 🚀 工作流开始: 6702168e-ec95-4fb7-b6f2-19604956f42a
|
||
2025-10-16 14:22:53,647 | ERROR | workflow | error:115 | ❌ 工作流执行失败: 'async for' requires an object with __aiter__ method, got coroutine
|
||
2025-10-16 14:23:52,834 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:23:52,929 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:23:52,929 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:23:52,930 | INFO | ollama_service | info:107 | 对话模型: qwen3:8b
|
||
2025-10-16 14:23:53,379 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:23:53,388 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:23:53,388 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:23:53,388 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:24:34,108 | INFO | workflow | info:107 | 🚀 工作流开始: fc689362-a5a0-47c3-8d10-cc44bb61f24a
|
||
2025-10-16 14:24:34,110 | ERROR | workflow | error:115 | ❌ 工作流执行失败: 'async for' requires an object with __aiter__ method, got coroutine
|
||
2025-10-16 14:27:04,689 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:27:04,809 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:27:04,809 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:27:04,809 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:27:05,192 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:27:05,197 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:27:05,198 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:27:05,198 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:27:29,333 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:27:29,429 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:27:29,430 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:27:29,430 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:27:29,832 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:27:29,839 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:27:29,839 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:27:29,839 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:28:56,067 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:28:56,185 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:28:56,186 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:28:56,186 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:28:56,566 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:28:56,573 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:28:56,573 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:28:56,573 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:28:56,573 | INFO | workflow | info:107 | 🚀 工作流开始: fa0fc0e9-6a5d-40fe-960b-7ea45243645b
|
||
2025-10-16 14:28:56,574 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:28:56,574 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:29:08,536 | WARNING | ollama_service | warning:111 | 意图分析响应JSON解析失败: <think>
|
||
好的，用户输入的是“你好”。首先，我需要确定用户的意图类型。根据提供的分类，可能的意图有订单查询、一般对话、问候或告别。
|
||
|
||
用户的消息是一个简单的“你好”，这明显属于问候语。根据示例，当用户说“你好”时，意图是greeting，置信度为0.9。这里用户没有提到任何订单相关信息，也没有进行告别，所以排除其他意图。
|
||
|
||
接下来检查是否有需要提取的实体。由于用户只是打招呼，没有提到订单号、产品名称或问题类型，所以extracted_entities应该是空的。
|
||
|
||
确认置信度，因为这是典型的问候语，所以置信度较高，设为0.9。分析理由就是用户发送了简单的问候语，没有其他上下文。
|
||
|
||
最后，按照JSON格式返回结果，确保键名正确，没有语法错误。比如，intent的值是greeting，confidence是0.9，reasoning说明情况，extracted_entities为空对象。
|
||
</think>
|
||
|
||
{
|
||
"intent": "greeting",
|
||
"confidence": 0.9,
|
||
"reasoning": "简单问候语",
|
||
"extracted_entities": {}
|
||
}
|
||
2025-10-16 14:29:08,537 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:29:08,537 | ERROR | workflow | error:115 | ❌ 工作流执行失败: "WorkflowState" object has no field "next_node"
|
||
2025-10-16 14:29:08,538 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:29:36,334 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:29:36,454 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:29:36,454 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:29:36,454 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:29:36,830 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:29:36,836 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:29:36,836 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:29:36,836 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:29:36,836 | INFO | workflow | info:107 | 🚀 工作流开始: f13ded17-de28-4c4f-985b-0855526e5d58
|
||
2025-10-16 14:29:36,836 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:29:36,837 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:29:44,532 | WARNING | ollama_service | warning:111 | 意图分析响应JSON解析失败: <think>
|
||
好的，用户输入的是“你好”。首先，我需要确定用户的意图类型。根据提供的分类，可能的意图有订单查询、一般对话、问候或告别。
|
||
|
||
用户的消息是一个简单的“你好”，这明显属于问候语。根据示例，当用户说“你好”时，意图是greeting，置信度为0.9。这里用户没有提到任何订单相关信息，也没有进行告别，所以排除其他意图。
|
||
|
||
接下来检查是否有需要提取的实体。由于用户只是打招呼，没有提到订单号、产品名称或问题类型，所以extracted_entities应该是空的。
|
||
|
||
确认置信度，因为这是典型的问候语，所以置信度较高，设为0.9。分析理由就是用户发送了简单的问候语，没有其他上下文。
|
||
|
||
最后，按照JSON格式返回结果，确保键名正确，没有语法错误。检查是否遗漏了任何必填字段，如intent、confidence和reasoning。确认所有部分符合要求后，生成最终的JSON响应。
|
||
</think>
|
||
|
||
{
|
||
"intent": "greeting",
|
||
"confidence": 0.9,
|
||
"reasoning": "简单问候语",
|
||
"extracted_entities": {}
|
||
}
|
||
2025-10-16 14:29:44,532 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:29:44,532 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.5)
|
||
2025-10-16 14:29:44,532 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:29:44,535 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:29:44,535 | ERROR | workflow | error:115 | ❌ 节点错误: natural_chat - LangSmithService.log_model_call() got an unexpected keyword argument 'input_messages'
|
||
2025-10-16 14:29:44,535 | ERROR | workflow | exception:123 | 节点 natural_chat 异常详情
|
||
Traceback (most recent call last):
|
||
File "/mnt/e/code/courseware/langchain-project/src/workflows/nodes/natural_chat.py", line 50, in natural_chat_node
|
||
langsmith_service.log_model_call(
|
||
TypeError: LangSmithService.log_model_call() got an unexpected keyword argument 'input_messages'
|
||
2025-10-16 14:29:44,538 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:30:44,848 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:30:44,987 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:30:44,988 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:30:44,988 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:30:45,365 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:30:45,373 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:30:45,373 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:30:45,374 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:30:45,374 | INFO | workflow | info:107 | 🚀 工作流开始: 104977cf-8c8f-4ac5-af61-b49837e622dd
|
||
2025-10-16 14:30:45,374 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:30:45,374 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:30:50,704 | WARNING | ollama_service | warning:111 | 意图分析响应JSON解析失败: <think>
|
||
好的，用户输入的是“你好”。首先，我需要确定用户的意图类型。根据提供的分类，可能的意图有订单查询、一般对话、问候或告别。
|
||
|
||
用户的消息是一个简单的“你好”，这明显属于问候语。根据示例，当用户说“你好”时，正确的意图是greeting，置信度较高，比如0.9。分析理由应该是“简单问候语”，并且没有提取到任何实体信息。因此，应该返回对应的JSON结构。需要确认是否有其他可能的意图，但这里没有提到订单或产品相关信息，所以排除其他类型。确定意图后，按照格式输出结果。
|
||
</think>
|
||
|
||
{
|
||
"intent": "greeting",
|
||
"confidence": 0.9,
|
||
"reasoning": "简单问候语",
|
||
"extracted_entities": {}
|
||
}
|
||
2025-10-16 14:30:50,704 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:30:50,705 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.5)
|
||
2025-10-16 14:30:50,705 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:30:50,711 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:30:50,712 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:30:54,424 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:30:54,424 | ERROR | workflow | error:115 | ❌ 工作流执行失败: LangSmithService.log_conversation_end() missing 2 required positional arguments: 'total_duration' and 'message_count'
|
||
2025-10-16 14:30:54,425 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:31:32,407 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:31:32,530 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:31:32,530 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:31:32,530 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:31:32,976 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:31:32,982 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:31:32,983 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:31:32,983 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:31:32,983 | INFO | workflow | info:107 | 🚀 工作流开始: 1b70dff8-397e-4c81-9ff8-76e462a6782a
|
||
2025-10-16 14:31:32,983 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:31:32,984 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:31:38,232 | WARNING | ollama_service | warning:111 | 意图分析响应JSON解析失败: <think>
|
||
好的，用户输入的是“你好”。首先，我需要确定用户的意图类型。根据提供的分类，可能的意图有订单查询、一般对话、问候或告别。
|
||
|
||
用户的消息是一个简单的“你好”，这明显属于问候语。根据示例，当用户说“你好”时，正确的意图是greeting，置信度较高，比如0.9。分析理由应该是“简单问候语”，并且没有提取到任何实体信息。因此，应该返回对应的JSON结构。需要确认是否有其他可能的意图，但这里没有提到订单或产品相关信息，所以排除其他类型。确定意图后，按照格式输出结果。
|
||
</think>
|
||
|
||
{
|
||
"intent": "greeting",
|
||
"confidence": 0.9,
|
||
"reasoning": "简单问候语",
|
||
"extracted_entities": {}
|
||
}
|
||
2025-10-16 14:31:38,233 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:31:38,233 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.5)
|
||
2025-10-16 14:31:38,233 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:31:38,236 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:31:38,236 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:31:39,377 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:31:39,378 | INFO | workflow | info:107 | ✅ 工作流完成: 1b70dff8-397e-4c81-9ff8-76e462a6782a
|
||
2025-10-16 14:31:39,378 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:34:41,876 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:34:41,983 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:34:42,361 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:34:42,361 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:34:42,762 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:34:42,768 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:34:42,768 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:34:42,769 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:34:47,146 | INFO | workflow | info:107 | 🚀 工作流开始: 5f77da0e-b73f-4357-b0ea-14487fe69849
|
||
2025-10-16 14:34:47,146 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:34:47,147 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:34:52,629 | WARNING | ollama_service | warning:111 | 意图分析响应JSON解析失败: <think>
|
||
好的，用户输入的是“你好”。首先，我需要确定用户的意图类型。根据提供的分类，可能的意图有订单查询、一般对话、问候或告别。
|
||
|
||
用户的消息是一个简单的“你好”，这明显属于问候语。根据示例，当用户说“你好”时，正确的意图是greeting，置信度较高，比如0.9。分析理由应该是“简单问候语”，并且没有提取到任何实体信息。因此，应该返回对应的JSON结构。需要确认是否有其他可能的意图，但这里没有提到订单或产品相关信息，所以排除其他类型。确定意图后，按照格式输出结果。
|
||
</think>
|
||
|
||
{
|
||
"intent": "greeting",
|
||
"confidence": 0.9,
|
||
"reasoning": "简单问候语",
|
||
"extracted_entities": {}
|
||
}
|
||
2025-10-16 14:34:52,629 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:34:52,630 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.5)
|
||
2025-10-16 14:34:52,630 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:34:52,638 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:34:52,639 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:34:54,005 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:34:54,006 | INFO | workflow | info:107 | ✅ 工作流完成: 5f77da0e-b73f-4357-b0ea-14487fe69849
|
||
2025-10-16 14:37:50,531 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:37:50,635 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:37:50,636 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:37:50,636 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:37:51,033 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:37:51,048 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:37:51,049 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:37:51,049 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:37:54,876 | INFO | workflow | info:107 | 🚀 工作流开始: d4d6c825-bc4c-40f0-8681-d88b3a6ce27c
|
||
2025-10-16 14:37:54,876 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:37:54,877 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:37:56,370 | INFO | workflow | info:107 | 🎯 意图分析: '你好' -> greeting (置信度: 0.90)
|
||
2025-10-16 14:37:56,371 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:37:56,371 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GREETING, 置信度: 0.9)
|
||
2025-10-16 14:37:56,371 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:37:56,375 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:37:56,375 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:37:57,861 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:37:57,861 | INFO | workflow | info:107 | ✅ 工作流完成: d4d6c825-bc4c-40f0-8681-d88b3a6ce27c
|
||
2025-10-16 14:40:43,646 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:40:43,762 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:40:43,762 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:40:43,762 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:40:44,151 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:40:44,157 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:40:44,157 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:40:44,157 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:40:44,158 | INFO | workflow | info:107 | 🚀 工作流开始: b15a4eb7-8ebc-440e-a279-37003f2da53b
|
||
2025-10-16 14:40:44,158 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:40:44,158 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:40:45,704 | INFO | workflow | info:107 | 🎯 意图分析: '你好' -> greeting (置信度: 0.90)
|
||
2025-10-16 14:40:45,705 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:40:45,706 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GREETING, 置信度: 0.9)
|
||
2025-10-16 14:40:45,706 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:40:45,707 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:40:45,707 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:41:01,467 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:41:01,468 | INFO | workflow | info:107 | ✅ 工作流完成: b15a4eb7-8ebc-440e-a279-37003f2da53b
|
||
2025-10-16 14:41:01,468 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:42:17,003 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:42:17,093 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:42:17,094 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:42:17,094 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:42:17,468 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:42:17,474 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:42:17,474 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:42:17,474 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:42:27,736 | INFO | workflow | info:107 | 🚀 工作流开始: 90315e23-b247-47d7-83a0-970f6d76aeaa
|
||
2025-10-16 14:42:27,736 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:42:27,737 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:42:29,393 | INFO | workflow | info:107 | 🎯 意图分析: 'go语言的优势有哪些' -> general_chat (置信度: 0.95)
|
||
2025-10-16 14:42:29,393 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:42:29,393 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GENERAL_CHAT, 置信度: 0.95)
|
||
2025-10-16 14:42:29,394 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:42:29,394 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:42:29,394 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:42:34,289 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:42:34,290 | INFO | workflow | info:107 | ✅ 工作流完成: 90315e23-b247-47d7-83a0-970f6d76aeaa
|
||
2025-10-16 14:58:42,473 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:58:42,588 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:58:42,588 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:58:42,588 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:58:43,018 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:58:43,024 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:58:43,025 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:58:43,025 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:58:43,026 | INFO | workflow | info:107 | 🚀 工作流开始: 3189b64b-e643-43ca-82e2-fb9197003758
|
||
2025-10-16 14:58:43,026 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:58:43,026 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:58:48,598 | INFO | workflow | info:107 | 🎯 意图分析: '你好' -> greeting (置信度: 0.90)
|
||
2025-10-16 14:58:48,599 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:58:48,599 | INFO | workflow | info:107 | 💬 路由到自然对话 (意图: IntentType.GREETING, 置信度: 0.9)
|
||
2025-10-16 14:58:48,599 | INFO | workflow | info:107 | 🚀 节点开始: natural_chat
|
||
2025-10-16 14:58:48,599 | INFO | workflow | info:107 | 💬 构建对话消息: 2 条消息
|
||
2025-10-16 14:58:48,600 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:58:51,149 | INFO | workflow | info:107 | ✅ 节点完成: natural_chat
|
||
2025-10-16 14:58:51,149 | INFO | workflow | info:107 | ✅ 工作流完成: 3189b64b-e643-43ca-82e2-fb9197003758
|
||
2025-10-16 14:58:51,149 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|
||
2025-10-16 14:59:01,147 | INFO | langsmith_service | info:107 | ✅ LangSmith 监控已启用
|
||
2025-10-16 14:59:01,241 | INFO | ollama_service | info:107 | ✅ Ollama模型初始化成功
|
||
2025-10-16 14:59:01,241 | INFO | ollama_service | info:107 | 路由模型: qwen3:8b
|
||
2025-10-16 14:59:01,241 | INFO | ollama_service | info:107 | 对话模型: deepseek-v3.1:671b-cloud
|
||
2025-10-16 14:59:01,613 | INFO | workflow | info:107 | 🔗 SimpleChatChain 初始化完成
|
||
2025-10-16 14:59:01,619 | INFO | workflow | info:107 | 📊 工作流图构建完成
|
||
2025-10-16 14:59:01,619 | INFO | workflow | info:107 | 🚀 ChatWorkflow 初始化完成
|
||
2025-10-16 14:59:01,619 | INFO | workflow | info:107 | 🤖 使用 LangGraph 工作流模式
|
||
2025-10-16 14:59:01,619 | INFO | workflow | info:107 | 🚀 工作流开始: c0b9d7cf-447c-4cc4-b958-c6e79a55654f
|
||
2025-10-16 14:59:01,619 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:59:01,620 | INFO | workflow | info:107 | 🚀 节点开始: intent_analysis
|
||
2025-10-16 14:59:03,645 | INFO | workflow | info:107 | 🎯 意图分析: '我的订单12345有问题' -> order_inquiry (置信度: 0.95)
|
||
2025-10-16 14:59:03,645 | INFO | workflow | info:107 | ✅ 节点完成: intent_analysis
|
||
2025-10-16 14:59:03,646 | INFO | workflow | info:107 | 🎯 路由到订单诊断 (置信度: 0.95)
|
||
2025-10-16 14:59:03,646 | INFO | workflow | info:107 | 🚀 节点开始: order_diagnosis
|
||
2025-10-16 14:59:04,149 | INFO | workflow | info:107 | 📦 获取订单信息: 12345
|
||
2025-10-16 14:59:04,651 | INFO | workflow | info:107 | 🚀 节点开始: diagnosis_thinking
|
||
2025-10-16 14:59:40,685 | INFO | workflow | info:107 | 🔍 生成诊断结果: 12345
|
||
2025-10-16 14:59:40,685 | INFO | workflow | info:107 | 🚀 节点开始: chat_generation
|
||
2025-10-16 14:59:57,255 | INFO | workflow | info:107 | 💬 生成最终回复: 12345
|
||
2025-10-16 14:59:57,257 | INFO | workflow | info:107 | ✅ 节点完成: order_diagnosis
|
||
2025-10-16 14:59:57,258 | INFO | workflow | info:107 | ✅ 工作流完成: c0b9d7cf-447c-4cc4-b958-c6e79a55654f
|
||
2025-10-16 14:59:57,258 | ERROR | workflow | error:115 | CLI 聊天错误: EOF when reading a line
|