Show HN: AgentsProof – a small project for testing AI agents (www.agentsproof.dev)

AgentsProof has launched a new SDK designed for testing AI agents, enabling developers to trace agent performance, evaluate it against custom rules, and generate shareable proof reports in minutes. The integration requires minimal setup: developers simply wrap their LLM and tool calls with a single function, allowing for immediate compliance checks against predetermined success criteria. This aids in identifying breakpoints quickly, reducing reliance on user feedback for issues. This tool is significant for the AI/ML community as it automates quality assurance processes, allowing for deterministic checks that capture regressions the LLM may overlook. AgentsProof can generate edge-case variations from existing test cases, expanding test coverage without additional manual coding. The framework facilitates continuous evaluation of AI agents, ensuring that defined behaviors are consistently met. In essence, AgentsProof empowers developers to easily maintain high standards in AI performance and reliability, streamlining the path from development to deployment.