AgentOps

AgentOps is a specialized monitoring and debugging platform designed specifically for AI agents. It provides developers with comprehensive tools to track, analyze, and optimize their AI agent workflows. The platform captures every aspect of agent execution, from LLM calls and tool usage to multi-agent interactions, creating a complete data trail that's essential for debugging and optimization.

What sets AgentOps apart is its visual session replay capability, which allows developers to see exactly what their agents are doing in real-time. The platform offers time travel debugging, enabling engineers to rewind and replay agent runs with pinpoint accuracy. It also provides detailed cost tracking across 400+ LLM models, token counting, and fine-tuning capabilities that can reduce costs by up to 25x using saved completions. The SDK is agent-agnostic and integrates natively with popular agent frameworks.

This tool is particularly valuable for software developers and AI engineers building production-grade AI agents. Enterprise teams benefit from its auditing capabilities, cost management features, and security monitoring for prompt injection attacks. Whether you're prototyping new agents or scaling to production deployment, AgentOps provides the visibility and control needed to build reliable, cost-effective AI systems.