EvalPulse empowers you to stop guessing which AI model works best for your production tasks. This open-source tool allows you to test various AI models against your actual prompts, providing clear insights into which model is the fastest, cheapest, and most accurate for your specific use case. With EvalPulse, you can generate a shareable comparison dashboard for your team, facilitating informed decisions about AI model selection.

How it Works:

• Define Test Cases: Create test cases using your production prompts. Add validation rules such as required terms, minimum length, and structured item counts.

• Run Evaluation: EvalPulse sends your prompts to multiple models, performs multiple passes for consistency checks, and automatically grades each output on quality, accuracy, and format.

• Compare Results: Access a dashboard that displays a ranked leaderboard, dimension-by-dimension breakdowns, reliability scores, and side-by-side comparisons across evaluation runs.

Key Features:

• Real Prompts: Evaluations are based on your product's exact prompts, ensuring relevant benchmarking.

• Trustworthy Scores: Outputs are graded by two independent AI models, with averaged scores to minimize bias.

• Customizable Grading: Score outputs on completeness, accuracy, format, relevance, and clarity, with adjustable weights to match your specific needs.

• Automatic Model Testing: EvalPulse monitors for new models that fit your budget and automatically flags them for evaluation, keeping you informed of cost-effective alternatives.

EvalPulse is designed for real decisions, not just toy benchmarks. It requires Python 3.10+ and an OpenRouter API key to get started. The tool runs locally or in CI, offering no vendor lock-in.