Key features
Core capabilities each platform advertises.
- Multi-modal synthetic testing
- Voice/text/image simulations
- Pre-production agent stress testing
- Error detection
- Automated test generation
Data not available
Updated March 27, 2026
Generates synthetic multi-modal user simulations to stress-test AI agents before production, catching errors manual testing misses.
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.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Ashr if you wantChoose if you want
Choose Sentry if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.
Try Respan free