Agentops
Monitor, debug, and manage AI agents and LLM apps in production
About
AgentOps is a specialized developer platform focused on monitoring and operating AI agents and LLM-based applications. It gives engineering teams a suite of tools to observe, debug, and maintain the performance and reliability of agents built with frameworks like OpenAI, CrewAI, Autogen, and many others—supporting over 400 LLMs and agent frameworks.
Key features include visual tracking of agent actions (such as LLM calls, multi-agent interactions, and tool usage), as well as a unique 'time travel' debugging system that lets developers rewind and replay agent runs at any point in their lifecycle. Detailed logging, error detection, and prompt injection attack audits provide transparency and traceability from early prototyping all the way into production environments.
With its unified SDK and seamless integrations, AgentOps enables organizations to track costs across multiple agents, see real-time token usage, and synchronize agent logs for efficient management. Advanced plans offer enterprise capabilities like unlimited log retention, session exports, robust access controls, custom SSO, and on-premise/self-hosted deployments for organizations with strict security or compliance needs.
AgentOps is designed to help teams build, deploy, and support reliable AI agents at scale, while closely managing both technical and financial aspects of agent operation.
Who is Agentops made for?
AgentOps is tailored for software developers and engineering leaders responsible for building and maintaining AI agent systems or LLM-based applications. It's especially useful for teams deploying multiple AI agents at scale, where reliability, cost monitoring, debugging, and auditability are crucial.
Companies working in applied AI, enterprise software, or SaaS can use AgentOps to gain full visibility into the performance and errors in their autonomous agents. Product managers or CTOs overseeing LLM integrations will benefit from granular logs, debugging tools, and analytics to improve product quality and reduce outages. Teams with compliance obligations or those seeking to monitor agent costs closely will also find AgentOps essential.
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