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Deploy applications that integrate with Lindy AI agents.
Passed 20 of 23 test cases with the skill, and 9 of 23 without it.
and 13 more in the full report
12 fixed8 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are writing the `docker run` command to launch our containerized integration image in production background mode. Which specific environment variables must be passed via CLI flags?
| Checked | Without skill | With skill |
|---|---|---|
| Passes environment variables using the `-e` CLI flag. | Passed | Passed |
| Includes `LINDY_WEBHOOK_SECRET` in the docker run command parameters. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
// 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;
test cases passed, vs 9 / 23 without
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