**promptfoo** is your go-to tool for **securing and testing LLM (Large Language Model) applications**. Trusted by over **60,000 developers**, it helps you **eliminate risks**, **catch regressions**, and **maximize output quality** in your AI projects. Whether you're dealing with **PII leaks**, **prompt injections**, or **harmful content**, promptfoo has got you covered.

What are the features of Promptfoo?

* **Automated Red Teaming**: Run custom scans to detect **security, legal, and brand risks**. * **Comprehensive Security Coverage**: Identify **PII leaks**, **insecure tool use**, and **cross-session data leaks**. * **Developer-Friendly**: Command-line interface, live reloads, and caching for **quick iterations**. * **Open-Source & Battle-Tested**: Used by teams serving **millions of users** and supported by an **active community**. * **Easy Configurations**: Simple declarative config for **complex LLM testing**.

What are the use cases of Promptfoo?

* **Pre-deployment security scans** for LLM applications. * **Continuous monitoring** to catch regressions and vulnerabilities. * **Custom probes** for identifying specific failures in your application. * **Quality evaluations** to ensure your LLM outputs are reliable and secure.

How to use Promptfoo?

1. Install promptfoo using the command: `npx promptfoo@latest redteam init`. 2. Define your test cases in a **YAML config** file. 3. Run custom scans to detect vulnerabilities and improve your LLM's performance.

What is promptfoo used for?

promptfoo is used for **securing and testing LLM applications**, helping developers **eliminate risks** and **maximize output quality**.

Is promptfoo open-source?

Yes, promptfoo is **open-source** and supported by an **active community**.

How do I get started with promptfoo?

You can get started by installing it using the command: `npx promptfoo@latest redteam init`.

Promptfoo

5.0

30.06%

promptfoo is a powerful, open-source tool for securing and testing LLM applications, trusted by 60,000+ developers to eliminate risks and maximize output quality.

Added on: 2025.03.06

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