What does AgentOps do and what problem does it solve?
AgentOps is a developer platform for testing, debugging, and deploying AI agents. It provides a single SDK to visually track events like LLM calls and multi-agent interactions, and allows developers to rewind and replay agent runs with time travel debugging. The platform supports over 400 LLMs and is designed to help build reliable agents.
What features does AgentOps offer?
AgentOps offers an agent-agnostic SDK, visual event tracking, time travel debugging, session replay, and a full audit trail. It includes features for token and cost tracking across multiple agents, fine-tuning LLMs on saved completions, and role-based permissioning. It also provides native integrations with top agent frameworks and a docs section.
How is AgentOps priced or packaged?
AgentOps has a free Basic tier with up to 5,000 events per month. A Pro plan starts at $40 per month and includes unlimited events, log retention, and dedicated support. An Enterprise tier with custom pricing is also available, offering features like SLA, custom SSO, on-premise deployment, and compliance certifications.
What is AgentOps used for and in what situations?
AgentOps is used to monitor and debug AI agents throughout their lifecycle, from prototype to production. It is used for tracking LLM token counts and costs, debugging and auditing agent runs with a full data trail of logs and errors, and fine-tuning specialized LLMs. The platform is used in situations requiring observability for complex agent workflows.
Who is AgentOps for?
AgentOps is for developers and teams building AI agents. The homepage states it is powering thousands of engineers. It is categorized as a Developer & AI Platform, indicating its primary audience is technical professionals involved in agent development.
What is AgentOps?
AgentOps is a comprehensive developer platform that enables testing, debugging, and deployment of AI agents with support for 400+ LLMs, Crews, and AI agent frameworks. Its tagline is "Trace, Debug, & Deploy Reliable AI Agents."