The LLM Evaluation Framework
$ used by some of the world's leading AI companies, DeepEval enables you to build reliable evaluation pipelines to test any AI system_
Native integration with Pytest, that fits right in your CI workflow.
50+ research-backed metrics, including custom G-Eval and deterministic metrics.
Covers any use cases, any system architecture, including multi-turn.
Evaluate text, images, and audio with built-in multi-modal test cases.
No test data? No problem. Generate synthetic data and simulate conversations.
No need to manually tweak prompts. DeepEval automatically optimizes prompts for you.
Criteria-based, chain-of-thought reasoning for nuanced, subjective scoring via form-filling paradigms.
A tree-based, directed acyclic graph approach for evaluating objective multi-step conditional scoring.
Question-Answer Generation for equation-based scoring based on close-ended questions.
Confident AI is an AI quality platform with observability, evals, and monitoring built by the team behind DeepEval. DeepEval integrates with it natively for team-wide, collaborative AI testing.
