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AgentOps

AgentOps

Observability, tracing, and debugging for AI agents

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What this product helps you do

AgentOps is an observability platform and open-source SDK for instrumenting agent applications. It captures traces across supported frameworks and model providers, then presents agent runs, spans, tool calls, latency, token usage, cost estimates, errors, and replay data in a dashboard for development and production review.

Problems it solves

  • Agent behavior is difficult to reconstruct from application logs alone
  • Multi-step model and tool activity needs a shared trace across frameworks
  • Token usage, latency, errors, and cost need run-level visibility
  • Teams need an audit trail for debugging and production review
Best for
Developers building AI agentsPlatform and LLMOps teamsTeams operating multi-agent applicationsEngineering teams evaluating agent reliability

AgentOps is an observability and debugging platform for AI agents and LLM applications. Its open-source Python and TypeScript SDKs can instrument supported agent frameworks and model providers, capture traces and spans, and send run data to the AgentOps dashboard.

Developers can inspect timelines, model and tool calls, token use, estimated cost, latency, errors, and replay data while adding custom traces when automatic instrumentation is not enough. AgentOps offers a limited free tier, usage-based Pro access, and custom enterprise packaging.

Information

DeveloperAgentOps
Languagesen
Pricing modelfreemium
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