Evaluates and compares LLM outputs using an automated testing framework to ensure prompt reliability and quality.
Promptfoo for Claude Code provides a powerful evaluation framework for testing, benchmarking, and debugging LLM outputs. It enables developers to define structured test cases, run complex assertions (including semantic similarity and LLM-as-judge rubrics), and compare results across different Claude model versions side-by-side. By integrating this skill, users can automate the prompt engineering process, catch regressions early, and maintain high standards for AI-driven application logic directly from the CLI.
주요 기능
010 GitHub stars
02Support for Anthropic Claude 3.5 and 4.5 model families
03Automated LLM output testing and side-by-side comparison
04LLM-as-judge capabilities via llm-rubric for qualitative grading
05Extensive assertion library including Regex, JSON, and Semantic Similarity
06Integrated web UI for visualizing evaluation results and metrics
사용 사례
01Validating structured JSON data and schema consistency in model responses
02Benchmarking different system prompts to find the most effective instructions
03Regression testing prompts after upgrading to newer model versions
