Customer Onboarding Assistant

import { Agent, openai } from '@runflow-ai/sdk';
import { createTool } from '@runflow-ai/sdk';
import { z } from 'zod';

const onboardingAgent = new Agent({
  name: 'Onboarding Assistant',
  instructions: `You are an onboarding specialist.
  - Guide users step by step
  - Celebrate their progress
  - Provide helpful resources
  - Detect when they're stuck and offer help
  - Track completion of onboarding steps`,

  model: openai('gpt-4o'),

  memory: {
    maxTurns: 50, // Long conversation
    summarizeAfter: 20,
    summarizePrompt: 'Summarize onboarding progress, completed steps, and next actions',
  },

  rag: {
    vectorStore: 'onboarding-docs',
    k: 3,
  },

  tools: {
    markStepComplete: createTool({
      id: 'mark-step-complete',
      description: 'Mark an onboarding step as complete',
      inputSchema: z.object({
        stepName: z.string(),
        userId: z.string(),
      }),
      execute: async ({ context }) => {
        await updateOnboardingProgress(
          context.stepName,
          context.userId
        );
        return { success: true };
      },
    }),
  },
});

// Interactive onboarding session
const sessionId = `onboarding_user_${userId}`;

// Step 1
await onboardingAgent.process({
  message: 'Start onboarding for new user',
  sessionId,
  userId,
});

// User responds
await onboardingAgent.process({
  message: 'I want to create my first agent',
  sessionId,
  userId,
});

// Agent guides through agent creation...