LangGraph v1 迁移指南

npm install @langchain/langgraph@latest @langchain/core@latest

pnpm add @langchain/langgraph@latest @langchain/core@latest

yarn add @langchain/langgraph@latest @langchain/core@latest

bun add @langchain/langgraph@latest @langchain/core@latest

import { createAgent } from "langchain";

const agent = createAgent({
  model,
  tools,
  systemPrompt: "You are a helpful assistant.",
});

import { createReactAgent } from "@langchain/langgraph/prebuilts";

const agent = createReactAgent({
  model,
  tools,
  prompt: "You are a helpful assistant.",
});

import { StateGraph, interrupt } from "@langchain/langgraph";
import * as z from "zod";

const State = z.object({ foo: z.string() });

const graphConfig = {
  interrupts: {
    approve: interrupt<{ reason: string }, { messages: string[] }>(),
  },
}

const graph = new StateGraph(State, graphConfig)
  .addNode("node", async (state, runtime) => {
    const value = runtime.interrupt.approve({ reason: "review" });
    return { foo: value };
  })
  .compile();

import { StateGraph } from "@langchain/langgraph";

const graph = new StateGraph(State)
  .addNode("node", async (state, runtime) => {
    const value = runtime.interrupt.approve({ reason: "review" });
    return state;
  })
  .compile();

const stream = await graph.stream(input, {
  encoding: "text/event-stream",
  streamMode: ["values", "messages"],
});

return new Response(stream, {
  headers: { "Content-Type": "text/event-stream" },
});

return toLangGraphEventStreamResponse({
  stream: graph.streamEvents(input, {
    version: "v2",
    streamMode: ["values", "messages"],
  }),
});