Prompt Engineering Guide collects lessons, papers, notebooks, and resources on prompting, retrieval-augmented generation, and AI agents.
Promptfoo
promptfoo tests prompts, agents, and retrieval-augmented generation systems, with red teaming and vulnerability scanning.

About Promptfoo
Promptfoo is a command-line tool and library for evaluating and red-teaming applications built on large language models (LLMs). It is used to test prompts, agents, and retrieval-augmented generation (RAG) systems with automated evaluations, and to compare how models such as OpenAI, Anthropic, Azure, Bedrock, and Ollama models perform on the same tests. Configurations are written as declarative files and can run in CI/CD pipelines.
It also includes red teaming and vulnerability scanning for LLM apps, a code scanning option for reviewing pull requests for LLM-related security and compliance issues, and report generation for security vulnerabilities. The source states that LLM evaluations run locally on the user's machine, but most LLM providers require an API key, and model calls go to those external services. The project is MIT licensed and open source. The source says it is now part of OpenAI. Pricing is not stated.
Key features
- Automated evaluations of prompts, agents, and RAG systems
- Red teaming and vulnerability scanning for LLM applications
- Side-by-side model comparison across multiple LLM providers
- Declarative configuration files run from the command line
- CI/CD integration for automated checks
- Code scanning of pull requests for LLM-related security issues
- Open source and MIT licensed
- The source states that LLM evaluations run locally on the user's machine
- Supports comparison across several LLM providers, including OpenAI, Anthropic, Azure, Bedrock, and Ollama
- Most LLM providers require an API key, which must be set as an environment variable
- Model calls to external providers are handled by those services, outside the local evaluation process
Promptfoo at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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