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Our product · AI observability platform

Trasys AIObservability for AI

See every signal your AI stack produces: traces, token spend, loops and incidents in one place.

1 view

Traces, logs & incidents

Real-time

Token cost visibility

SDKs

JS/TS · Python · Go · Node

Free

Tier to get started

Our product

See Every SignalYour AI Stack Produces

Trasys AI is our AI observability platform. Trace every LLM call, track token spend, catch runaway agents and route incidents to the right person before your users notice.

LLM Observability

  • LLM call tracing
  • Token cost tracking
  • Runaway loop detection

Ops Intelligence

  • Distributed tracing
  • Log pattern clustering
  • Slack alerts & on-call routing

Why We Built It

Running AI in production creates problems traditional monitoring was never designed for.

[ 1 ]

Invisible token spend

Costs spread across models, features and environments, and nobody sees the bill until month end.

[ 2 ]

Runaway agents

Agent loops and retries silently burn budget and degrade user experience.

[ 3 ]

Latency regressions

A slower model, prompt or retrieval step quietly ruins response times.

[ 4 ]

Noisy, scattered logs

Signals are split across tools, so incidents take hours to diagnose.

Everything You Needto Run AI in Production

LLM call tracing

Every prompt, completion, tool call and retrieval step captured with inputs, outputs and latency.

Token cost tracking

Spend per model, feature, customer and environment, with budgets and alerts before bills surprise you.

Loop detection & spend limits

Catch runaway agents and recursive calls automatically and cap spend before it snowballs.

Distributed tracing

Waterfalls across services, databases and model providers, so you see exactly where time goes.

Natural-language search

Ask questions about anomalies in plain English, or go deep with the TQL query language.

Log pattern clustering

Millions of log lines grouped into a handful of patterns, cutting alert noise dramatically.

How It Works

[ 01 ]

Install the SDK

Add a few lines for JavaScript, TypeScript, Python, Go or Node.

[ 02 ]

Trace everything

LLM calls, tools, services and databases stream in automatically.

[ 03 ]

Detect issues

Costs, loops, latency and anomalies are flagged in real time.

[ 04 ]

Alert & resolve

Slack alerts and on-call escalation route incidents to the right person.

Works With Your Stack

SDKs, databases, clouds and alerting tools supported out of the box.

JavaScript
TypeScript
Python
Go
Node.js
PostgreSQL
MongoDB
Redis
Prisma
AWS
Google Cloud
Azure
Kubernetes
Docker
Slack
REST API

Start monitoring your AI with Trasys AI.

Free tier available. Set up in minutes.

Trasys AI FAQs

Trasys AI is an observability platform for AI applications, built by Konsilience. It traces LLM calls, tracks token spend, detects loops and routes incidents.

SDKs for JavaScript, TypeScript, Python, Go and Node.js, with support for common databases, clouds and Kubernetes.

Yes. You can start on the free tier at www.trasys.dev.

Yes. Our team can set up tracing, dashboards and alerting as part of an AI engagement.

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