Observability & governance for AI agents

Your agents are making
decisions you can't see.

Full observability, real-time guardrails, and a complete audit trail for every autonomous agent in your infrastructure.

agent timeline
RUN-1847blocked
LLM Requestgpt-4o · prompt 2,340 tok
LLM Response1,247 tokens · 1.73s
Tool Calldb.query({ user_id: '***' })
GuardrailPII detected in outbound payload
Blockedemail.send() → policy:no-pii-external
TerminatedRun halted by guardrail engine
Tokens3,587
Cost$0.004
Latency1.92s
VerdictBlocked
01

Instrument

Drop our SDK into your agent code. Every tool call, every LLM response, every decision — captured with zero performance overhead.

02

Observe

See exactly what happened in every run. Inputs, reasoning, actions, outputs. Searchable, filterable, replayable.

03

Control

Cost caps, action allowlists, content policies. Enforced at runtime. Kill a run mid-flight if you need to.

Every AI agent in production is a black box. Most teams find out something went wrong from their customers.

01

An agent calls an API it was never supposed to touch. You hear about it from a customer ticket.

02

A workflow burns through your monthly budget in six hours. No one set a limit.

03

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

Replay past runs with different inputs. Test before you ship.

Guardrails engine

Cost caps, allowlists, content policies. Enforced at runtime, not after.

Alerts

Slack, email, webhook. Know in seconds when something goes wrong.

SOC 2Type II
GDPRCompliant
<2msOverhead
99.99%Uptime
SSO & RBACBuilt-in

See Guardonic in action.

We'll show you how it fits your AI infrastructure in 30 minutes.