AEVS

The system addresses the gap between model-generated text and actual tool execution by recording precise details at the point of each call. It integrates as a drop-in component with frameworks such as LangChain, automatically handling signing through ECDSA and maintaining a sequential chain that reveals any alterations. Receipts can be checked through an API endpoint or a dedicated explorer using only a reference identifier. Configuration options control the level of detail exposed, ranging from full payloads for open review to stripped hashes that retain proof while omitting sensitive data entirely. Support extends to multiple Python versions and includes both public and private modes, allowing teams to balance audit needs with data protection requirements in production agent deployments.