Key features
Core capabilities each platform advertises.
- ML infrastructure automation
- AIOps agent
- Debugging automation
- Infrastructure optimization
- ML pipeline monitoring
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Updated March 27, 2026
AIOps agent for ML teams — automates ML infrastructure operations, debugging, and optimization.
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
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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.
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