prompt-eval

AI prompt evaluation is automated by scoring prompts against quality criteria for relevance, format, safety, and consistency using the Codex API. You can test a prompt directly or provide a file path to a prompt document.

Testing prompt consistency and safety is achieved through automated scoring that identifies reliability issues and suggests improvements. This process ensures AI-generated prompts meet specific quality criteria.

You can automatically generate test cases for prompt refinement to comprehensively evaluate AI outputs. This feature helps content creators and AI trainers enhance the overall quality and consistency of their workflows.

Codex API access is required for automated prompt testing, as the evaluation capabilities rely on it to score relevance, format, safety, and consistency. You must ensure this environment is available before running tests.

Prompt evaluation failures often occur when Codex API access is missing or AI evaluation capabilities are not properly configured. The tool requires these dependencies to automate scoring and provide detailed feedback.

To analyze a prompt document, use the prompt-eval command followed by the file path to your document. The system will then automatically score the prompt and provide detailed feedback for refinement.