SafeRun

SafeRun provides a robust platform for engineers deploying agents in production environments. It introduces critical capabilities to manage and mitigate risks associated with operational agents. Key features include: * Step-by-step replay of failed agent runs * Inline blocking of undesirable tool calls * Human approval for high-risk actions * Detection and breaking of runaway loops * Policy-as-code definitions for agent behavior This platform allows engineers to debug agent failures by replaying incidents in detail, capturing input, model output, tool calls, arguments, responses, latency, cost, and policy decisions. It moves beyond traditional monitoring by actively preventing issues: turning identified failures into actionable policies that block bad arguments, prevent loops, and require human intervention for sensitive operations. SafeRun is designed for engineering teams shipping agents to production, providing confidence in operational stability. It integrates seamlessly with popular agent frameworks like LangGraph, CrewAI, OpenAI Assistants, AutoGen, and MCP, without requiring extensive rewrites. This ensures that agents perform reliably and securely, reducing on-call incidents and safeguarding business operations against unforeseen agent misbehaviors.