Evaluation for AI apps and agent.
Project description
LangEval
Evaluation for AI apps and agent
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Table of Contents
Installation
pip install langeval-cli
Documents
TODOs:
- Refactor RAG Eval FileNotFoundError: [Errno 2] No such file or directory: 'output/ac17315_sqlcoder7b2_V4-fix/eval/eval_100_fix.jsonl'
Progress: run=Progress(total=100, finished=100, failed=0) evals={'sqleval': Progress(total=100, finished=85, failed=0)} [2023-12-13T03:52:04.850620][task-2312131151-8f4e][runner._run] task eval sqleval progress {progress.evals[evaluator.name]}, result: {result}
How to use
see ./examples for more details.
Development
# Create virtual environment
hatch env create
# Activate virtual environment
hatch shell
# Run test
hatch run test
# Run lint
hatch run lint:style
# Version dump
hatch version patch/minor/major
# Build
hatch build
# Upload to pypi
hatch publish
License
LangEval is distributed under the terms of the MIT license.
Project details
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