Keywords AI
Patronus AI vs Sentry
Compare Patronus AI and Sentry side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Enterprise | — |
| Best For | AI teams that need rigorous, automated quality evaluation and safety testing | — |
| Website | patronus.ai | sentry.io |
| Key Features |
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| Use Cases |
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When to Choose Patronus AI vs Sentry
- Detecting hallucinations in production
- RAG quality evaluation
- Adversarial testing of LLM systems
About Patronus AI
Patronus AI provides automated evaluation and testing for LLM applications. The platform detects hallucinations, toxicity, data leakage, and other failure modes using specialized evaluator models. Patronus offers pre-built evaluators for common use cases and supports custom evaluation criteria, helping enterprises ensure AI safety and quality before and after deployment.
About Sentry
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.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
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