promptfoo / promptfoo

2023-04-28 · Source: Github Trending: All languages · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cybersecurity & Data Privacy · Depth: Intermediate, quick

Summary

Promptfoo is an open-source command-line interface (CLI) and library designed for evaluating and red-teaming Large Language Model (LLM) applications. It enables developers to test prompts and models using automated evaluations, secure LLM apps through vulnerability scanning and red teaming, and compare various models side-by-side, including OpenAI, Anthropic, Azure, Bedrock, and Ollama. The tool supports integration into CI/CD pipelines for automated checks and facilitates code scanning for LLM-related security and compliance issues. Promptfoo operates locally, ensuring privacy by keeping prompts on the user's machine, and is flexible enough to work with any LLM API or programming language. It is available via `npm install -g promptfoo`, `brew install promptfoo`, or `pip install promptfoo`.

Key takeaway

For AI Architects and Machine Learning Engineers building LLM applications, integrating promptfoo into your development workflow can significantly enhance reliability and security. You should use its automated evaluation and red-teaming capabilities to move beyond trial-and-error, ensuring your LLM apps are robust and secure before deployment. This approach allows for data-driven decisions and proactive identification of vulnerabilities, streamlining your development and review processes.

Key insights

Promptfoo provides a developer-first, private, and flexible solution for LLM evaluation and red teaming.

Principles

• Automate LLM testing
• Prioritize LLM security
• Base decisions on metrics

Method

Install promptfoo, initialize an example project, set API keys as environment variables, then run `promptfoo eval` to execute evaluations and `promptfoo view` to see results.

In practice

• Compare different LLM providers
• Integrate LLM tests into CI/CD
• Generate security vulnerability reports

Topics

• LLM Evaluation
• Red Teaming
• LLM Security
• Prompt Engineering
• CI/CD Integration

Code references

• promptfoo/promptfoo

Best for: AI Architect, Machine Learning Engineer, NLP Engineer, AI Engineer, Prompt Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.