Key features
Core capabilities each platform advertises.
Data not available
- Agent failure root cause analysis
- Tool selection monitoring
- Cost budget tracking
- Production agent observability
- Real-time alerting
Updated March 27, 2026
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.
Datadog for agent reliability — monitors AI agents in production, surfacing root causes when agents fail, pick wrong tools, or exceed cost budgets.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
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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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