Datadog for your AI agents

Visibility, safety, and control over every autonomous AI agent in your stack. Know what they do before it's too late.

>/_ quickstart.py

from ezop import Agent

agent = Agent.init(
    name="support-bot",
    owner="growth-team",
    runtime="langchain"
)

Platform

Everything you need to ship agents safely

Built for engineering teams running LLM-powered agents in production.

Trace every decision, tool call, and action your agents make. Get full stack visibility from prompt to output.

Define policies and enforce them in real time. Block dangerous actions before they reach production systems.

Manage fleets of agents across teams and runtimes. One dashboard for your entire autonomous stack.

Get notified the moment an agent behaves unexpectedly. Set thresholds, anomaly detection, and on-call routing.

Immutable, tamper-proof records of every agent action. Stay compliant and answer any incident post-mortem.

Monitor token usage, latency, and cost per agent run. Optimize spend before your bill surprises you.

How it works

No infrastructure changes. No agent rewrites. Just visibility.

Add the Ezop package to your project. Works with LangChain, CrewAI, AutoGen, and any custom agent framework.

pip install ezop

from ezop import Agent

Initialize Ezop with your agent's name, owner, and runtime. No changes to your agent logic required.

agent = Agent.init(
  name="my-bot",
  owner="team"
)

Every agent run is traced, logged, and monitored automatically. Open your dashboard and see everything.

# Go to your web dashboard.

Join the early access program and get full observability over your AI agents before your next incident.