Creativity · Agent Protocol

AgentOps: Observability Platform for AI Agents

AgentOps is an open-source observability and evaluation platform purpose-built for LLM agents. It auto-instruments CrewAI, AutoGen, LangChain, LlamaIndex, and bare OpenAI/Anthropic SDKs, capturing structured traces of every tool invocation, LLM call, and inter-agent message — plus cost, latency, and error signals — so teams can debug, replay sessions, and run regression evals in production.

Protocol facts

Sponsor
AgentOps, Inc.
Status
stable
Spec
https://www.agentops.ai/
Interop with
CrewAI, AutoGen, LangChain, OpenTelemetry

Frequently asked questions

How is AgentOps different from LangSmith or Phoenix?

LangSmith is LangChain-native; Phoenix is open-source and OTel-first. AgentOps sits in between — framework-agnostic auto-instrumentation, cost-first dashboards, and session replay tuned for multi-agent workflows.

Does AgentOps support OpenTelemetry?

Yes — AgentOps exports spans in the OpenTelemetry GenAI semantic convention, so traces can also flow into Datadog, Honeycomb, or Grafana.

Is it free to use?

Self-hosting the open-source SDK is free. The managed cloud has a free tier plus paid plans for team features, longer retention, and SSO.

Sources

  1. AgentOps official site — accessed 2026-04-20
  2. AgentOps GitHub — accessed 2026-04-20

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