2025-03-24 23:00:14 +08:00
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import asyncio
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import uuid
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from typing import Any
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from datetime import datetime
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2025-03-24 19:07:51 +08:00
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2025-03-24 23:00:14 +08:00
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from langchain_core.messages import AIMessageChunk, ToolMessage
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2025-03-24 19:07:51 +08:00
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from langchain_core.runnables import RunnableConfig
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2025-03-24 23:00:14 +08:00
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from langgraph.graph import StateGraph, START, END
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from langgraph.prebuilt import ToolNode, tools_condition
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from langgraph.checkpoint.memory import MemorySaver
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2025-03-24 19:07:51 +08:00
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from src.agents.registry import State, BaseAgent
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from src.agents.chatbot.configuration import ChatbotConfiguration
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class ChatbotAgent(BaseAgent):
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2025-03-24 23:00:14 +08:00
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_graph_cache = None
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def __init__(self, configuration: ChatbotConfiguration = None):
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super().__init__(configuration)
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self.configuration = configuration or ChatbotConfiguration()
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self.llm = configuration.llm
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2025-03-24 23:00:14 +08:00
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def llm_call(self, state: State) -> dict[str, Any]:
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tools = self.configuration.tools
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system_prompt = {
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"role": "system",
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"content": (
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f"Current time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n"
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)
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}
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messages = [system_prompt] + state["messages"]
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model = self.llm.bind_tools(tools)
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res = model.invoke(messages)
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return {"messages": [res]}
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def get_graph(self):
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"""构建图"""
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if ChatbotAgent._graph_cache is None:
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workflow = StateGraph(State)
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workflow.add_node("chatbot", self.llm_call)
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workflow.add_node("tools", ToolNode(tools=self.configuration.tools))
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workflow.add_edge(START, "chatbot")
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workflow.add_conditional_edges(
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"chatbot",
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tools_condition,
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)
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workflow.add_edge("tools", "chatbot")
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workflow.add_edge("chatbot", END)
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graph = workflow.compile(checkpointer=MemorySaver())
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ChatbotAgent._graph_cache = graph
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return ChatbotAgent._graph_cache
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def stream_values(self, messages: list[str], config: RunnableConfig = None):
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graph = self.get_graph()
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for event in graph.stream({"messages": messages}, stream_mode="values", config=config):
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yield event["messages"]
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def stream_messages(self, messages: list[str], config: RunnableConfig = None):
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graph = self.get_graph()
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for msg, metadata in graph.stream({"messages": messages}, stream_mode="messages", config=config):
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msg_type = msg.type
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return_keys = config.get("configurable", {}).get("return_keys", [])
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if not return_keys or msg_type in return_keys:
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yield msg, metadata
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def main():
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agent = ChatbotAgent(ChatbotConfiguration())
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thread_id = str(uuid.uuid4())
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config = {"configurable": {"thread_id": thread_id}}
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from src.agents import agent_cli
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agent_cli(agent, config)
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if __name__ == "__main__":
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main()
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# asyncio.run(main())
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