Skip to main content
Introducing Respan Router

Respan vs Sentry (2026)

Updated March 10, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Engineering and product teams running AI agents and LLM apps in production
Best For
—
Product Summary

Respan is LLM observability built into an AI router: nested traces for every agent run, evals on live production traffic, and a click from any score to its trace.

Product Summary

Sentry provides runtime error monitoring and performance observability for AI applications. Its LLM monitoring capabilities track model calls, token usage, and latency alongside traditional error tracking. Sentry helps teams catch and debug issues in production AI pipelines with detailed stack traces and context.

Starting Price
$0
Starting Price
$0Per month
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website
Website

Key features

Core capabilities each platform advertises.

RespanRespan
  • Nested traces for every LLM call, tool run, and agent turn
  • Threads for multi-turn sessions
  • Online evals on live production traffic
  • LLM-judge, code, and human evaluators
  • Datasets from production logs and experiments at scale
  • Monitors with Slack, email, and webhook alerts
  • Prompt versioning and deployment without code changes
SentrySentry
Data not available

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

RespanRespan

Pros

  • Every score links to the trace that produced it
  • Evals run on live production traffic, not only on test sets
  • Built into the router, so there's no separate gateway to integrate
  • Monitors alert the moment a metric breaches
  • Unlimited seats on the free plan

Cons

  • The free plan retains data for 7 days
  • The free plan includes 1k scores and 2 evaluators
  • Ingestion throughput is metered per tier, starting at 412 logs per minute on Free
SentrySentry

Pros

  • Developer-friendly platform
  • Production-ready
  • Good performance
  • Active development

Cons

  • Enterprise pricing varies
  • Setup complexity
  • Learning curve

Respan or Sentry — which should you choose?

Choose Respan if you want

  • Debugging agent failures down to the step that broke
  • Catching quality regressions before users report them
  • Turning production failures into test datasets
  • Testing a prompt or model change against real cases before shipping
  • Attributing LLM cost to each end customer

Choose Sentry if you want

Data not available

Compare Respan and Sentry on your own traffic

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

Try Respan free

Other popular comparisons