Teams running AI agents have no ops tooling. They find out an agent is broken when a user complains. Agent Opz brings reliability engineering to your entire agent fleet.
There is no ops tooling for AI agents. No uptime checks. No cost guards. No deployment safety net. Teams running agents in production are flying completely blind.
Standard infra monitoring watches servers, not agent loops. When your agent stops responding, the only alert is a user ticket.
An agent stuck in a retry loop can burn thousands of dollars overnight. Without per-run cost tracking, you have no idea it is happening.
You push a new prompt version and hope for the best. There is no canary, no rollback, no way to compare the new version against the old in production.
Agent Opz is a control plane for production AI agents. Connect any agent framework in minutes and get full operational visibility immediately.
Continuous health checks for every agent in your fleet. Know instantly when an agent starts failing, not when the first support ticket arrives.
See the true cost of every agent run — tokens, tool calls, retries, and infrastructure. Set budget alerts that fire before costs spiral.
PagerDuty-style alerting for agent failures. Route incidents to Slack, email, or any webhook. Catch the 2am outage before your users do.
Deploy new agent versions with blue-green or canary rollouts. Compare metrics between versions in real time and roll back in one click.
When a new version degrades performance, roll back to the last known good version instantly. No manual config changes, no re-deployment scripts.
Manage dozens or hundreds of agents from a single dashboard. Group by team, environment, or customer. Set fleet-wide policies in minutes.
Agent Opz works with LangChain, CrewAI, AutoGPT, OpenAI Assistants, custom frameworks — anything that runs agents.
pip install agentopz
opz.monitor(agent, name="prod-v3")
Uptime, cost, alerts, and deployment controls appear immediately in your dashboard.
import agentopz as opz from langchain.agents import AgentExecutor # Your existing agent — zero changes agent = AgentExecutor(...) # Wrap it — that is it agent = opz.monitor( agent, name="customer-onboarding", env="production", api_key="opz_...", budget_alert_usd=0.05, ) # Every run now tracked, every failure alerted result = agent.run("Process new signup for acme corp")
Free for up to 5 agents with 7-day retention. No credit card required to get started.
View pricingMost teams treat "production" as "it works on my laptop." Here is what real production operations looks like for agent systems.
Token spend is just the start. Tool calls, retries, infrastructure, and failure handling all have real costs most teams never see.
What does incident response look like when the system that broke is an AI? The answer is not as different from SRE as you might think.
Connect your first agent in 5 minutes. See uptime, cost, and failures — immediately.
Connect your first agent