AgentOps

What is AgentOps?

AgentOps is a developer platform for tracing, debugging and monitoring AI agents and LLM applications. It records LLM calls, tool calls and multi-agent interactions, and installs with pip install agentops.

Key capabilities of AgentOps

• Visualize and debug: track LLM calls, tools and multi-agent interactions
• Time travel debugging: replay agent runs
• Agent-agnostic SDK: supports 400+ LLMs and frameworks including OpenAI, CrewAI and AutoGen
• Cost tracking: token counts and spend across models
• Production controls: audit trails, error tracking and prompt injection detection
• Session export: on Pro and above

How AgentOps works

You add the SDK to your agent code, and AgentOps records each event, meaning an LLM call, tool call or action. The dashboard visualizes sessions and lets you replay runs. Plans are metered by events per month.

Who uses AgentOps?

Developers building agents with frameworks such as CrewAI and AutoGen who need traces and cost visibility. The vendor cites more than 4,000 GitHub stars and users including Microsoft, Google, Samsung and Meta.

AgentOps pricing

Basic is free up to 5,000 events per month. Pro starts at $40 per month with unlimited events, log retention, session export and dedicated support. Enterprise is custom with SLA, custom SSO, on-premise deployment and SOC-2 and HIPAA compliance.

AgentOps alternatives

Zep and Mastra are agent memory and framework tools, while DataRobot, Dataiku and Domino Data Lab are broader enterprise ML platforms. AgentOps focuses on agent tracing.