Looping step execution

Setup


npm install @ai-sdk/openai @mastra/core

Define Looping workflow

Defines a workflow which calls the executes a nested workflow until the provided condition is met.

looping-workflow.ts


import { createWorkflow, createStep } from "@mastra/core/workflows/vNext";
import { z } from "zod";
 
// Step that increments the input value by 1
const incrementStep = createStep({
  id: "increment",
  inputSchema: z.object({
    value: z.number(),
  }),
  outputSchema: z.object({
    value: z.number(),
  }),
  execute: async ({ inputData }) => {
    return { value: inputData.value + 1 };
  },
});
 
// Step that logs the current value (side effect)
const sideEffectStep = createStep({
  id: "side-effect",
  inputSchema: z.object({
    value: z.number(),
  }),
  outputSchema: z.object({
    value: z.number(),
  }),
  execute: async ({ inputData }) => {
    console.log("log", inputData.value);
    return { value: inputData.value };
  },
});
 
// Final step that returns the final value
const finalStep = createStep({
  id: "final",
  inputSchema: z.object({
    value: z.number(),
  }),
  outputSchema: z.object({
    value: z.number(),
  }),
  execute: async ({ inputData }) => {
    return { value: inputData.value };
  },
});
 
// Create a workflow that:
// 1. Increments a number until it reaches 10
// 2. Logs each increment (side effect)
// 3. Returns the final value
const workflow = createWorkflow({
  id: "increment-workflow",
  inputSchema: z.object({
    value: z.number(),
  }),
  outputSchema: z.object({
    value: z.number(),
  }),
})
  .dountil(
    // Nested workflow that performs the increment and logging
    createWorkflow({
      id: "increment-workflow",
      inputSchema: z.object({
        value: z.number(),
      }),
      outputSchema: z.object({
        value: z.number(),
      }),
      steps: [incrementStep, sideEffectStep],
    })
      .then(incrementStep)
      .then(sideEffectStep)
      .commit(),
    // Condition to check if we should stop the loop
    async ({ inputData }) => inputData.value >= 10
  )
  .then(finalStep);
 
workflow.commit();
 
export { workflow as incrementWorkflow };

Register Workflow instance with Mastra class

index.ts


import { Mastra } from "@mastra/core/mastra";
import { createLogger } from "@mastra/core/logger";
import { incrementWorkflow } from "./workflows";
 
// Initialize Mastra with the increment workflow
// This enables the workflow to be executed
const mastra = new Mastra({
  vnext_workflows: {
    incrementWorkflow,
  },
  logger: createLogger({
    name: "Mastra",
    level: "info",
  }),
});
 
export { mastra };

Execute the workflow

Here, we’ll get the increment workflow from the mastra instance, then create a run and execute the created run with the required inputData.

exec.ts


import { mastra } from "./";
 
const workflow = mastra.vnext_getWorkflow("incrementWorkflow");
const run = workflow.createRun();
 
// Start the workflow with initial value 0
// This will increment until reaching 10
const result = await run.start({ inputData: { value: 0 } })
console.dir(result, { depth: null })