
I Built a Flight Recorder for AI Agents — Here's What It Catches
AIR Blackbox is an open-source observability layer that records, replays, and enforces policies on every LLM call your AI agents make. Try the live demo. Your AI agent just sent an email, called an API, or moved money. Someone asks: "Show me exactly what it saw and why it made that decision." Can you answer that today? If you're running AI agents in production — LangChain chains, CrewAI crews, OpenAI function calling, AutoGen teams — you've probably hit this wall. The agent did something . Logs show fragments. Token spend spiked. But there's no complete record of the full decision chain. We built AIR Blackbox to fix that. It's the flight recorder for autonomous AI agents — like the black box on an airplane, but for your LLM calls. Try it right now (no install needed): Live Interactive Demo What Does the Demo Show? The hosted demo lets you run four scenarios and watch what happens inside the AIR Blackbox pipeline in real time: Scenario 1: Normal Request A standard agent request flows th
Continue reading on Dev.to Python
Opens in a new tab


