Why Your AI Agents Need an Audit Trail (and How to Add One in 5 Minutes)

AI agents are shipping to production. They're calling APIs, querying databases, sending emails, and making decisions that affect real users. But here's the problem: most teams have no idea what their agents actually did. When something goes wrong - and it will - you need answers. Which agent made that API call? What data did it access? Who approved it? Without an audit trail, you're flying blind. The compliance problem The EU AI Act now requires audit trails for high-risk AI systems. DORA mandates operational resilience documentation for financial services. If your agents interact with regulated data or make consequential decisions, you need governance. This isn't a future problem. These regulations are active now. Adding governance in 5 minutes Asqav is an open-source Python SDK that adds governance to any AI agent. Here's how to set it up. Install pip install asqav Create an agent from asqav import Asqav client = Asqav ( api_key = " sk_... " ) # Register your agent agent = client . c