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Promptfoo icon

Promptfoo

About Tool:
Test, refine, and optimize your LLM prompts
Date Added:
2025-04-30
Tool Category:
🔄 Prompt testing
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Promptfoo Product Information

LLM Prompt Testing: Optimize Your Language Model Prompts

This powerful library helps you evaluate and refine your LLM prompts for superior model performance. It provides a comprehensive suite of tools for objective prompt testing and optimization, ensuring high-quality outputs from your language models.

Features

  • Automated Evaluation: Automatically assess prompt quality through a range of built-in and custom metrics.
  • Test Case Management: Create and manage lists of test cases using representative user inputs to minimize subjectivity.
  • Comparative Analysis: Compare prompts and their respective model outputs side-by-side for informed decision-making.
  • Customizable Metrics: Define your own evaluation metrics tailored to your specific needs.
  • Seamless Integration: Integrate effortlessly into existing test or CI workflows.
  • Flexible Interface: Access the tool through a user-friendly web viewer or command-line interface.

Benefits

  • Improved Model Outputs: Produce more accurate and relevant results from your LLM models.
  • Reduced Subjectivity: Objectively evaluate prompts and minimize bias in the fine-tuning process.
  • Enhanced Efficiency: Streamline prompt development and testing with automated evaluations.
  • Data-Driven Decisions: Make informed choices based on concrete evaluation metrics.
  • Increased Reliability: Benefit from a tool trusted by LLM applications serving over 10 million users.

Use Cases

  • LLM Development: Optimize prompts for improved model accuracy and performance.
  • Prompt Engineering: Fine-tune prompts to achieve specific desired outputs.
  • Continuous Integration/Continuous Delivery (CI/CD): Integrate prompt testing into your development pipeline.

This robust and reliable tool empowers users to significantly improve the quality of their LLM prompts, leading to better model outputs and more effective applications.

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