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Hello World

// hello-world.tsx
import { createSmithers, Task, Sequence } from "smithers-orchestrator";
import { ToolLoopAgent as Agent } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
import { z } from "zod";

const { Workflow, smithers, outputs } = createSmithers({
  greeting: z.object({
    message: z.string(),
  }),
});

const greeter = new Agent({
  model: anthropic("claude-sonnet-4-5-20250929"),
  instructions: "You are a friendly greeter. Respond with a short, warm greeting.",
});

export default smithers((ctx) => (
  <Workflow name="hello-world">
    <Sequence>
      <Task id="greet" output={outputs.greeting} agent={greeter}>
        Generate a warm greeting for someone named Alice.
      </Task>
    </Sequence>
  </Workflow>
));

smithers up hello-world.tsx --input '{}'

[hello-world] Starting run abc123
[greet] Running...
[greet] Done -> { message: "Hello Alice! Welcome — it's wonderful to have you here!" }
[hello-world] Completed
createSmithers registers a greeting table with a message field. Task sends the prompt to the agent and persists structured output. Every task output is stored in the database, so the workflow is resumable — if it crashes after greet completes, re-running skips to the end.