Files
langgraph-learning-examples/02_chat_graph.py

41 lines
843 B
Python

from typing import Annotated, TypedDict
from langchain_openai import ChatOpenAI
from langgraph.graph import StateGraph, START, END
from langgraph.graph.message import add_messages
class State(TypedDict):
messages: Annotated[list, add_messages]
model = ChatOpenAI(
model="deepseek-v4-flash",
temperature=0,
base_url="https://api.deepseek.com/v1",
)
def chatbot(state: State):
response = model.invoke(state["messages"])
return {"messages": [response]}
builder = StateGraph(State)
builder.add_node("chatbot", chatbot)
builder.add_edge(START, "chatbot")
builder.add_edge("chatbot", END)
graph = builder.compile()
result = graph.invoke({
"messages": [
{
"role": "user",
"content": "请用一句话解释 LangGraph。",
}
]
})
print(result["messages"][-1].content)