Observability for AI agents
Every agent decision,visible in one place.
Send structured agent events. Find failed steps, slow calls, and costly runs before your users report them.
1,000 runs per month. No card required. Node.js SDK is MIT-licensed.
Get started in minutes
const g = new Guardonic({ apiKey, baseUrl })
await g.ingest({ agent, events })
The Node.js SDK is MIT-licensed. The hosted API and dashboard are proprietary; integrate from Python or other languages via our HTTP API. Node SDK documentation.
How it works
Instrument, observe, and control AI agents in production
Instrument
Add the Node SDK or call the HTTP API. Send the model, tool, status, timing, token, and cost data your team needs.
Observe
Open a run timeline and move from a high-level failure signal to the exact model or tool event that needs attention.
Improve
Compare success, latency, token use, and cost across agents. Use the evidence to fix prompts, tools, and workflows.
Every AI agent in production is a black box. Most teams find out something went wrong from their customers.
An agent calls an API it was never supposed to touch. You hear about it from a customer ticket.
A workflow burns through your monthly budget in six hours. No one set a limit.
Compliance asks what your agent told a user last Tuesday. There are no logs.
Platform
Everything you need to trust your agents in production.
Agent timeline
Every run broken down step by step. What the agent saw, decided, and did.
Simulation sandbox
Coming soonReplay past runs with different inputs. Test before you ship.
Guardrails engine
In developmentCost caps, allowlists, and content policies enforced while a run is active.
Alerts
Coming soonSlack, email, webhook. Know in seconds when something goes wrong.
Start monitoring, or talk to us first.
Create a workspace now, or tell us about your agents and what visibility you need.