Add Tamper-Proof Audit Logs to Your AI Agent in 10 Minutes

Add Tamper-Proof Audit Logs to Your AI Agent in 10 Minutes If you're building AI agents that make decisions, call tools, or interact with users, you need an audit trail. Not just logs — a cryptographically verifiable chain that proves no entries were modified or deleted after the fact. This matters for compliance, debugging, and trust. When your agent makes a $10,000 trading decision or sends an email on behalf of a user, you need to prove exactly what happened and that the record hasn't been tampered with. I built an audit log API with HMAC chain verification specifically for AI agents. Every log entry is cryptographically linked to the previous one — if anyone modifies a single entry, the chain breaks and verification fails. How HMAC Chain Verification Works Each log entry gets an HMAC (Hash-based Message Authentication Code) computed from: The entry's content (agent_id, action, details, outcome) The previous entry's HMAC A server-side secret key This creates a chain where every entr