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.
DeepEval is an open-source LLM evaluation framework built for unit testing AI outputs. It provides 14+ evaluation metrics including hallucination detection, answer relevancy, and contextual recall. Integrates with pytest, supports custom metrics, and works with any LLM provider for automated quality assurance in CI/CD pipelines.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
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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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