Amazon patents hidden layer that checks AI agent work for errors

1. A computer-implemented method performed by an observability layer such that the observability layer remains hidden to one or more artificial intelligence (“AI”) agents of an agentic network, the computer-implemented method comprising: receiving, at the observability layer and from an AI agent of the one or more AI agents of the agentic network, an agent request to an endpoint prior to the endpoint receiving the agent request; processing, at the observability layer, the agent request to determine that the agent request is accurate; in response to determining that the agent request is accurate, passing, from the observability layer, the agent request to the endpoint; receiving, at the observability layer and from the AI agent, an agent response to a primary requester prior to the primary requester receiving the agent response; processing, at the observability layer, the agent response and an endpoint response generated by the endpoint in response to the agent request, to determine that the agent response is inaccurate; in response to determining that the agent response is inaccurate, sending, from the observability layer, a message to the AI agent that conforms to a schema of the primary requester such that the message appears to be sent to the AI agent by the primary requester, the message indicating that the agent response is inaccurate; receiving, at the observability layer and from the AI agent, a second agent response to the primary requester prior to the primary requester receiving the second agent response; processing, at the observability layer, the second agent response and the endpoint response generated by the endpoint in response to the agent request, to determine that the second agent response is accurate; and in response to determining that the second agent response is accurate, passing, from the observability layer, the second agent response to the primary requester as responsive to the primary request.