lindy-deploy-integration

# Lindy Deploy Integration

## Overview
Configure deployment pipelines for Lindy AI agent integrations.

## Prerequisites
- CI pipeline configured (see `lindy-ci-integration`)
- Production Lindy API key
- Deployment target (Vercel, AWS, GCP, etc.)

## Instructions

### Step 1: Create Deployment Workflow
```yaml
# .github/workflows/lindy-deploy.yml
name: Deploy Lindy Integration

on:
  push:
    branches: [main]
  workflow_dispatch:

env:
  LINDY_ENVIRONMENT: production

jobs:
  deploy:
    runs-on: ubuntu-latest
    environment: production

    steps:
      - uses: actions/checkout@v4

      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Build
        run: npm run build

      - name: Run pre-deploy checks
        run: npm run predeploy
        env:
          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}

      - name: Deploy to Vercel
        uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}
          vercel-args: '--prod'

      - name: Sync Lindy agents
        run: npm run sync:agents
        env:
          LINDY_API_KEY: ${{ secrets.LINDY_PROD_API_KEY }}

      - name: Notify Slack
        if: success()
        uses: slackapi/slack-github-action@v1
        with:
          payload: |
            {
              "text": "Lindy integration deployed successfully"
            }
```

### Step 2: Create Agent Sync Script
```typescript
// scripts/sync-agents.ts
import { Lindy } from '@lindy-ai/sdk';
import fs from 'fs';

interface AgentConfig {
  id?: string;
  name: string;
  instructions: string;
  tools: string[];
}

async function syncAgents() {
  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

  // Load agent configurations
  const confi