Finally, you can see what your agent did

AgentOps is observability built for autonomous agents. One decorator gives you session replay of every LLM call, tool use, and decision; per-session cost and token tracking; and evals that block bad behavior in CI. It instruments CrewAI, AutoGen, LangChain, and OpenAI Agents with a single line.

Who it's for: Developers building and shipping autonomous agents in production.

Key features

Replay Session replay

Replay every LLM call, tool use, and decision on a timeline.

Cost Token tracking

See exactly what each agent run costs and where the tokens go.

Evals Guardrails

Score outputs and set rules to block bad agent behavior in CI.

Drop-in Framework support

One line instruments CrewAI, AutoGen, LangChain, and OpenAI Agents.

The honest take

✓ What works

Tiny integration effort (one decorator)
Invaluable for debugging agents
Free tier is usable
Cost visibility prevents bill shocks
Framework-agnostic

✗ What doesn't

Younger than Arize or LangSmith
Best features on paid plans
Mostly for agent builders
Some rough edges in the UI

Verdict

Building agents without AgentOps is flying blind. Drop it in on day one, watch your sessions, and you'll fix more in an afternoon than in a week of logs. Stack it with Arize for deeper LLM eval.

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