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lindy-deploy-integration

Deploy applications that integrate with Lindy AI agents. Use when deploying webhook receivers, callback handlers, or applications connected to Lindy agents. Trigger with phrases like "deploy lindy", "

by jeremylongshore(0) 0 installs
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Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/lindy-pack/skills/lindy-deploy-integration/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill lindy-deploy-integration. Copyright stays with the author (MIT).

Lindy Deploy Integration

Overview

Lindy agents run on Lindy's managed infrastructure. Deployment focuses on your integration layer: webhook receivers, callback handlers, and application code that Lindy agents interact with via HTTP Request actions and webhook triggers.

Prerequisites

  • Lindy agents configured and tested
  • Application with webhook receiver endpoints
  • Deployment platform (Vercel, Railway, Docker, AWS, GCP)
  • Lindy API key and webhook secrets

Instructions

Step 1: Prepare Application for Deployment

// src/server.ts — Production-ready Lindy webhook receiver
import express from 'express';
import helmet from 'helmet';

const app = express();
app.use(helmet());
app.use(express.json({ limit: '1mb' }));

// Health check for load balancer
app.get('/health', (req, res) => {
  res.json({
    status: 'ok',
    timestamp: new Date().toISOString(),
    version: process.env.APP_VERSION || 'unknown',
  });
});

// Lindy webhook receiver with auth verification
app.post('/lindy/callback', (req, res) => {
  const auth = req.headers.authorization;
  if (auth !== `Bearer ${process.env.LINDY_CALLBACK_SECRET}`) {
    return res.status(401).json({ error: 'Unauthorized' });
  }

  // Respond immediately, process async
  res.json({ received: true });

  // Async processing
  processWebhook(req.body).catch(err => {
    console.error('Webhook processing error:', err);
  });
});

async function processWebhook(payload: any) {
  const { taskId, status, result } = payload;
  // Your business logic here
  console.log(`Task ${taskId}: ${status}`, result);
}

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => console.log(`Listening on :${PORT}`));

Step 2: Docker Deployment

# Dockerfile
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY dist/ ./dist/
EXPOSE 3000
ENV NODE_ENV=production
HEALTHCHECK --interval=30s --timeout=3s \
  CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]
# Build and run
docker build -t lindy-integration .
docker run -d \
  -p 3000:3000 \
  -e LINDY_CALLBACK_SECRET="$LINDY_CALLBACK_SECRET" \
  --name lindy-app \
  lindy-integration

Step 3: Vercel Deployment

# Install Vercel CLI
npm i -g vercel

# Set secrets
vercel secrets add lindy-callback-secret "$LINDY_CALLBACK_SECRET"

# Deploy
vercel --prod
// vercel.json
{
  "env": {
    "LINDY_CALLBACK_SECRET": "@lindy-callback-secret"
  }
}

Step 4: Update Lindy Agent Webhook URLs

After deployment, update all Lindy agents with production URLs:

  1. In Lindy dashboard, open each agent with a webhook trigger

  2. Navigate to the HTTP Request action (if agent calls your API)

  3. Update URL from dev/staging to production:

    OLD: https://abc123.ngrok.io/lindy/callback
    NEW: https://api.yourapp.com/lindy/callback
    
  4. For webhook triggers, callers need the Lindy-generated URL (unchanged)

  5. Test with a sample webhook to verify end-to-end

Step 5: Post-Deploy Verification

#!/bin/bash
echo "=== Post-Deploy Verification ==="

PROD_URL="https://api.yourapp.com"

# Health check
echo "[1/3] Health check..."
curl -sf "$PROD_URL/health" | jq .

# Webhook endpoint reachable
echo "[2/3] Webhook endpoint..."
STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
  -X POST "$PROD_URL/lindy/callback" \
  -H "Authorization: Bearer $LINDY_CALLBACK_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"test": true}')
echo "Webhook endpoint: HTTP $STATUS (expect 200)"

# Trigger a test agent run
echo "[3/3] Agent trigger test..."
curl -s -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_ID" \
  -H "Authorization: Bearer $LINDY_TRIGGER_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"event": "deploy.verify", "env": "production"}'
echo "Agent triggered — check Tasks tab in Lindy dashboard"

Step 6: Rollback Plan

# If deployment fails, rollback:
# Vercel
vercel rollback

# Docker
docker stop lindy-app
docker run -d --name lindy-app-rollback \
  -e LINDY_CALLBACK_SECRET="$LINDY_CALLBACK_SECRET" \
  lindy-integration:previous-tag

# Update Lindy agents back to previous URLs if needed

Output

Produce a deployment receipt with the release identifier, deployed callback URL, health-check result, authenticated and unauthenticated webhook outcomes, and the verified Lindy task ID. Keep the previous image or deployment revision and the corresponding rollback command with that receipt.

Examples

For a Vercel release, record the production URL, a GET /health 200 result, an unauthenticated callback 401 result, and a successful signed test event. If the signed callback returns 502, invoke the documented rollback before changing Lindy agent URLs or retrying the test.

Deployment Checklist

Step Verification
Build passes npm run build exits 0
Tests pass npm test all green
Secrets configured API key + webhook secret in platform
Health check responds GET /health returns 200
Webhook auth works POST with valid token returns 200
Webhook auth rejects POST without token returns 401
Lindy agent URLs updated HTTP Request actions point to prod
End-to-end test Trigger agent, receive callback

Error Handling

Issue Cause Solution
Webhook 502 App crashed/not running Check container logs, restart
Webhook timeout Slow processing Respond 200 immediately, process async
Wrong URL in Lindy Not updated post-deploy Update HTTP Request action URLs
SSL error Certificate issue Verify HTTPS cert is valid
Secret mismatch Dev secret in prod Verify production secrets match Lindy config

Resources

Next Steps

See lindy-webhooks-events for advanced webhook patterns.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-lindy-deploy-9bf79d/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-lindy-deploy-9bf79d.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-lindy-deploy-9bf79d",
  "kind": "skill",
  "name": "lindy-deploy-integration",
  "description": "Deploy applications that integrate with Lindy AI agents. Use when deploying webhook receivers, callback handlers, or applications connected to Lindy agents. Trigger with phrases like \"deploy lindy\", \"lindy deployment\", \"lindy production deploy\", \"release lindy integration\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "saas",
      "lindy",
      "deployment",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Deploy applications that integrate with Lindy AI agents. Use when deploying webhook receivers, callback handlers, or applications connected to Lindy agents. Trigger with phrases like \"deploy lindy\", \"lindy deployment\", \"lindy production deploy\", \"release lindy integration\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/lindy-pack/skills/lindy-deploy-integration/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/lindy-pack/skills/lindy-deploy-integration/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/lindy-pack/skills/lindy-deploy-integration/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(gh:*),",
      "Bash(docker:*),",
      "Bash(npm:*)"
    ],
    "license": "MIT"
  },
  "instructions": "# Lindy Deploy Integration\n\n## Overview\n\nLindy agents run on Lindy's managed infrastructure. Deployment focuses on your\n**integration layer**: webhook receivers, callback handlers, and application code\nthat Lindy agents interact with via HTTP Request actions and webhook triggers.\n\n## Prerequisites\n\n- Lindy agents configured and tested\n- Application with webhook receiver endpoints\n- Deployment platform (Vercel, Railway, Docker, AWS, GCP)\n- Lindy API key and webhook secrets\n\n## Instructions\n\n### Step 1: Prepare Application for Deployment\n\n```typescript\n// src/server.ts — Production-ready Lindy w",
  "cost": {
    "context_tokens": 1499
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-lindy-deploy-9bf79d/manifest?version=1.0.0

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