workflows/quickstart.tsx
Ghost doc — Real script from workflows/quickstart.tsx. Two-agent sequential pipeline with cross-task data flow.
Source
// workflows/quickstart.tsx
import { createSmithers, Sequence, Task, Workflow } from "smithers-orchestrator";
import { ToolLoopAgent as Agent, Output } from "ai";
import { anthropic } from "@ai-sdk/anthropic";
import { z } from "zod";
const { smithers, outputs } = createSmithers({
plan: z.object({
summary: z.string(),
steps: z.array(z.string()),
}),
brief: z.object({
brief: z.string(),
stepCount: z.number(),
}),
});
const planAgent = new Agent({
model: anthropic("claude-sonnet-4-5-20250929"),
output: Output.object({
schema: z.object({
summary: z.string(),
steps: z.array(z.string()).min(3).max(8),
}),
}),
instructions:
"You are a planning assistant. Return a concise summary and 3-8 actionable steps.",
});
const briefAgent = new Agent({
model: anthropic("claude-sonnet-4-5-20250929"),
output: Output.object({
schema: z.object({
brief: z.string(),
stepCount: z.number().int().min(1),
}),
}),
instructions:
"You are a concise technical writer. Produce a 5-8 sentence brief.",
});
export default smithers((ctx) => {
const planOutput = ctx.outputMaybe("plan", { nodeId: "plan" });
return (
<Workflow name="quickstart">
<Sequence>
<Task id="plan" output={outputs.plan} agent={planAgent}>
{`Create a short plan for this goal:\n${ctx.input.goal}`}
</Task>
<Task id="brief" output={outputs.brief} agent={briefAgent}>
{`Goal: ${ctx.input.goal}
Plan summary: ${planOutput?.summary ?? "pending"}
Steps: ${JSON.stringify(planOutput?.steps ?? [])}
Write a brief based on the plan. The "stepCount" must equal the number of steps.`}
</Task>
</Sequence>
</Workflow>
);
});
Running
smithers up workflows/quickstart.tsx --input '{"goal": "Build a CLI tool for managing dotfiles"}'
[quickstart] Starting run def456
[plan] Done -> { summary: "Build a dotfile manager CLI", steps: ["Parse config", "Symlink files", "Add backup"] }
[brief] Done -> { brief: "This plan covers 3 steps...", stepCount: 3 }
[quickstart] Completed
Notes
- Cross-task data flow —
ctx.outputMaybe("plan", { nodeId: "plan" }) reads the planner’s persisted output. First argument is the schema key from createSmithers, not a table name.
- Zod structured output — Both agents use
Output.object({ schema }) with validation constraints.
- Vercel AI SDK — Uses
ToolLoopAgent with Anthropic provider.