wehub-resource-sync
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30 lines
781 B
Python
30 lines
781 B
Python
from collections.abc import Sequence
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from typing import Annotated, TypedDict
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from langchain_core.messages import AIMessage, BaseMessage
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from langgraph.graph import END, START, StateGraph
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from langgraph.graph.message import add_messages
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class State(TypedDict):
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messages: Annotated[Sequence[BaseMessage], add_messages]
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def call_model(state: State) -> dict:
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message = AIMessage(content="Hello from simple uv agent!")
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return {"messages": [message]}
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def should_continue(state: State):
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if len(state["messages"]) > 0:
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return END
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return "call_model"
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workflow = StateGraph(State)
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workflow.add_node("call_model", call_model)
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workflow.add_edge(START, "call_model")
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workflow.add_conditional_edges("call_model", should_continue)
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graph = workflow.compile()
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