Anatomy of an agent

import { chat } from "@trigger.dev/sdk/ai";
import { stepCountIs } from "ai";
import { anthropic } from "@ai-sdk/anthropic";

export const myAgent = chat.agent({
  id: "my-agent",

  // Tools the model can call, declared on the config so they
  // survive history re-conversion across turns — see Tools.
  tools: { searchDocs },

  // A lifecycle hook: fires after each turn, here to persist
  // the response — see Lifecycle hooks.
  onTurnComplete: async ({ responseMessage }) => {
    await db.messages.save(responseMessage);
  },

  // The turn loop. Messages arrive accumulated; the returned
  // stream is piped back to the frontend — see Backend.
  run: async ({ messages, tools, signal, streamText }) =>
    streamText({
      tools,
      model: anthropic("claude-sonnet-4-5"),
      messages,
      abortSignal: signal,
      stopWhen: stepCountIs(15),
    }),
});