testland/deepeval-evaluation
Authors and runs DeepEval - pytest-native LLM eval framework with `LLMTestCase` (input + actual_output + expected_output + retrieval_context) and ~11 built-in metrics (G-Eval, Answer-Relevancy, Faithfulness, Contextual-Recall / Precision / Relevancy, Hallucination, Bias, Toxicity, Summarization, JSON-Correctness); runs via `deepeval test run {file.py}` with `assert_test()` per test or `evaluate()` for batch; integrates Confident-AI dashboard. Use when the user prefers pytest workflow, works with RAG and needs faithfulness/contextual metrics out-of-the-box, or wants a managed dashboard.
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tile.json
{
"name": "testland/deepeval-evaluation",
"version": "1.3.5",
"summary": "Authors and runs DeepEval - pytest-native LLM eval framework with `LLMTestCase` (input + actual_output + expected_output + retrieval_context) and ~11 built-in metrics (G-Eval, Answer-Relevancy, Faithfulness, Contextual-Recall / Precision / Relevancy, Hallucination, Bias, Toxicity, Summarization, JSON-Correctness); runs via `deepeval test run {file.py}` with `assert_test()` per test or `evaluate()` for batch; integrates Confident-AI dashboard. Use when the user prefers pytest workflow, works with RAG and needs faithfulness/contextual metrics out-of-the-box, or wants a managed dashboard.",
"private": false,
"skills": {
"deepeval-evaluation": {
"path": "SKILL.md"
}
}
}