deepeval
confident-aiTurn AI failures into rerunnable evals and targeted fixes.
LLM evaluation
What it does
Builds a rerunnable evaluation suite for an AI application and improves the application from evaluation failures.
When to use it
Use when evaluating or improving an AI agent, chatbot, RAG pipeline, or other LLM application with DeepEval.
How to use it
Work through intake choices with it; it creates and runs a project eval suite, then iterates on failures.
What you provide
- An existing project
Uses
CA
Access · 1
This skill
Confident AI
Write
Saves results to Confident AI
Good to know
- advertises something the task does not need
What you need · 5
Requires Python 3.9 or newer.
The target project must have the deepeval package installed.
Model credentials are required for evaluation metrics or synthetic dataset generation.
A Confident AI login is required only for reporting, hosted traces, and online evaluations.
About this skill
- Visibility
- Public
- Repository
- confident-ai/deepeval
- Created
- Oct 8, 2026
- Updated
- Oct 8, 2026
- Files
- 16