We built TuringPulse to give teams a single control plane over their AI agents in production.

Define governance policies, enforce runtime guardrails on MCP tool usage, and configure human oversight — block outputs pending approval, flag actions for async review, or monitor with real-time alerts. Track custom KPIs per agent, detect behavioral and prompt drift automatically, and get anomaly alerts when metrics cross your thresholds. Python and TypeScript SDKs plug into LangChain, CrewAI, OpenAI Agents, LlamaIndex, and others.

https://turingpulse.ai