Hooklistener acts as an observability layer for OpenAI webhooks. By routing Deep Research, batch, or fine-tuning events through Hooklistener, you get guaranteed delivery, replayable payloads, and transparent history for your entire team. This guide shows you how to connect the two platforms and ship resilient automations.

Integration Architecture Overview

The integration follows a simple but powerful pattern: OpenAI delivers webhooks to Hooklistener, which forwards verified requests to your application while keeping a full history.

OpenAI sends webhook payloads to your dedicated Hooklistener endpoint
Hooklistener records the event, verifies signatures, and stores headers
Hooklistener forwards the request to your local tunnel or production API
Your application processes the payload and responds with a 2xx status
You collaborate on captured events, replays, and analytics inside Hooklistener

Step-by-Step Setup

1. Create a Hooklistener Endpoint

Log in to Hooklistener and create a workspace for AI integrations
Generate a new HTTPS endpoint named `openai-deep-research`
Enable payload retention to store response bodies, headers, and retries
Invite teammates so they can inspect payloads without production access

2. Connect the Endpoint in OpenAI

Open the OpenAI dashboard and navigate to Settings → Webhooks
Paste your Hooklistener URL into the webhook endpoint field
Choose relevant events (`research.completed`, `batch.completed`, or `response.completed`)
Copy the signing secret into Hooklistener's signature monitor so you can validate deliveries

3. Forward Webhooks to Local Development

Hooklistener forwards OpenAI requests to any target URL. Use this to test Next.js API routes on your laptop without exposing ports manually.

# Forward to a Next.js route

hooklistener forward --endpoint=https://listen.hooklistener.com/t/abc123 --target=https://localhost:3000/api/openai-webhook

Building a Reliable Receiver Route

Whether you deploy on Vercel, Cloudflare, or your own infrastructure, keep webhook handlers small, idempotent, and verifiable. Hooklistener keeps a copy of every delivery so you can rerun tests after deploying fixes.

// Next.js Route Handler validating OpenAI signatures

import { NextRequest, NextResponse } from "next/server"; import OpenAI from "openai"; const client = new OpenAI(); const webhookSecret = process.env.OPENAI_WEBHOOK_SECRET!; export async function POST(request: NextRequest) { const raw = await request.text(); try { const event = await client.webhooks.unwrap({ payload: raw, headers: Object.fromEntries(request.headers.entries()), secret: webhookSecret, }); await queueJob(event); return NextResponse.json({ ok: true }); } catch (error) { console.error("Invalid OpenAI signature", error); return NextResponse.json({ error: "invalid signature" }, { status: 400 }); } }

Hooklistener records the body and headers so you can download them as fixtures for unit tests or replay them against staging after you deploy changes.

Collaboration, Alerting, and Replay

Share Context Instantly

Assign webhook deliveries to teammates, leave comments, and attach troubleshooting notes so support engineers and developers close the loop faster.

Automated Alerts

Configure Hooklistener notifications for failed OpenAI signatures, 5xx responses from your API, or long-running retries. Alerts integrate with Slack, email, and incident tooling.

Replay Without Waiting

Re-deliver any captured payload with a single click. Tweak headers, modify payload fields, or test multiple environments to validate fixes before redeploying.

Launch the Integration Today

Hooklistener gives product and platform teams superpowers for OpenAI webhook development:

✓Instant capture of Deep Research, Responses, and Batch events

✓Diff and replay payloads across environments

✓Keep stakeholders aligned with shared timelines and analytics

Create Your OpenAI Listener →

Hooklistener + OpenAI Webhooks Integration Guide