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40 lines
1.1 KiB
40 lines
1.1 KiB
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# @Time : 2025/4/19 18:27
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# @Author : old-tom
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# @File : local_test
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# @Project : reActLLMDemo
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# @Desc : 本地终端运行对话
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import langgraph.store.memory
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from llmagent.assistant_graph import graph
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def stream_graph_updates(user_input: str):
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"""
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流式输出
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:param user_input:
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:return:
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"""
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config = {"configurable": {"thread_id": "1"}}
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for chunk, metadata in graph.stream({"messages": [{"role": "user", "content": user_input}]}, config,
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stream_mode='messages'):
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if chunk.content:
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print(chunk.content, end='', flush=True)
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print('\n')
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if __name__ == '__main__':
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while True:
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try:
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user_input = input("User: ")
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if user_input.lower() in ["quit", "exit", "q"]:
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print("Goodbye!")
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break
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stream_graph_updates(user_input)
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except:
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user_input = "What do you know about LangGraph?"
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print("User: " + user_input)
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stream_graph_updates(user_input)
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break
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