AI & Automation Integration Guide

Test OpenAI & AI Agents Webhooks Online

Test OpenAI Assistants, Realtime API, Batch endpoints, and agent callback webhooks in real time.

Direct Answer / Quick Summary

To test OpenAI webhooks, supply your SafeWebhook URL as the webhook callback endpoint in your OpenAI API Batch or Fine-Tuning requests. As soon as OpenAI finishes model inference, the completion payload streams to your browser.

Key Capabilities & Testing Highlights

•Debug async batch generation callbacks (gpt-4o, o3-mini).
•Inspect AI Assistant run lifecycle events (thread.run.completed).
•Test AI Agent tool function call webhook receivers.
•Zero server storage protects model prompts and API response data.

Signature Header

OpenAI-Signature

Cryptographic Scheme

Webhook Signature Scheme

Payload Retention

100% Client-Side

Step-by-Step OpenAI & AI Agents Webhook Setup

Follow these 4 simple steps to capture real-time OpenAI & AI Agents events in your browser:

Create a SafeWebhook URL at safewebhook.com/app.

Pass the URL in the `webhook_url` parameter of your OpenAI Batch API or Assistant run call.

Trigger your model job via OpenAI SDK or REST API.

Inspect the returned completion status, token counts, and output files in SafeWebhook.

Sample OpenAI & AI Agents Webhook Payload

application/json

{
  "id": "batch_req_9817420194",
  "object": "batch",
  "endpoint": "/v1/chat/completions",
  "status": "completed",
  "output_file_id": "file-xyz98234abc",
  "request_counts": {
    "total": 5000,
    "completed": 5000,
    "failed": 0
  }
}

OpenAI & AI Agents Signature Verification Recipes

Copy-paste production-ready HMAC verification code for your backend:

Node.js / Express Recipecrypto.timingSafeEqual

// Verify OpenAI Batch / Assistant Webhook
export function handleOpenAIWebhook(req, res) {
  const { status, output_file_id, request_counts } = req.body;
  console.log(`OpenAI Batch ${status}: ${request_counts.completed} items processed.`);
  res.status(200).json({ received: true });
}

Python / Flask / FastAPI Recipehmac.compare_digest

# Python FastAPI OpenAI Callback Handler
from fastapi import FastAPI, Request

app = FastAPI()

@app.post("/openai-webhook")
async def openai_callback(request: Request):
    data = await request.json()
    print(f"OpenAI Batch Status: {data.get('status')}")
    return {"status": "ok"}

Frequently Asked Questions: OpenAI & AI Agents Webhooks

How does OpenAI send webhook notifications for batch jobs?

When an OpenAI Batch API job transitions to completed, failed, or cancelled, OpenAI makes an HTTP POST request with metadata and result file IDs to your specified URL.

Can I replay OpenAI webhook callbacks to my local development server?

Yes. Use SafeWebhook’s Replay Drawer to send the captured OpenAI batch completion event directly to http://localhost:3000/api/openai-callback.

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