Trasys vs LangSmith

LangSmith is fantastic for prototyping LangChain apps. But when you move to production, you need more than just traces—you need infrastructure health, on-call rotations, and framework-agnostic cost tracking. Trasys provides the complete picture.

Feature Comparison

Feature	Trasys	LangSmith
Framework Support	Agnostic (LangChain, LlamaIndex, OpenAI, Anthropic, Custom)	Heavily tied to the LangChain ecosystem
Incident Response	Native on-call rotations, Slack alerts, and escalation policies	Not supported natively (requires PagerDuty)
Infrastructure Metrics	Full APM (CPU, Memory, DB Latency) correlated with AI traces	Trace-only

Pricing Model

Trasys

Transparent volume-based. Unified with APM & Incident Response.

LangSmith

Tiered pricing based on trace volume.

Why Teams Switch

You are moving away from LangChain to a custom architecture and need an agnostic tool.
You want to consolidate your tracing tool (LangSmith) and incident tool (PagerDuty) into one.
You need to correlate a slow LLM response with database CPU utilization on the same dashboard.

Frequently Asked Questions

Does Trasys support LangChain?

Absolutely. We have a native LangChain callback handler that captures full trace hierarchies just like LangSmith.

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