Trasys AI
One place to trace LLM calls, track token spend, catch runaway agents and route incidents.
Real-time
token cost visibility
1 view
traces, logs and incidents
1
Platforms
7
Core technologies
About thePlatform
An observability platform for teams running AI in production, combining distributed tracing, cost monitoring, log clustering and alerting across services and model providers.
- Industry
- Developer Tools
- Category
- AI / LLM observability
- Product
- Trasys AI
- Website
- trasys.dev
The Challenge
We built Trasys AI because teams shipping AI features, including our own, could not see token costs, agent loops, latency regressions or noisy logs across services and model providers, so incidents and overspend went unnoticed.
What We Built
The core capabilities we designed, engineered and shipped.
LLM call tracing and token cost tracking
Loop detection and spend safety limits
Distributed tracing across services, databases and models
Natural-language anomaly search and a query language
Log pattern clustering to reduce alert noise
Slack alerting and on-call escalation
The Outcome
Real-time
token cost visibility
1 view
traces, logs and incidents
Tech Stack
Integrations & Tools
Platforms
Next Project
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