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Run automated red-teaming and model evaluations for free using the open-source CLI tool Promptfoo. Optimized for developers prioritizing reliability, this local engine includes unlimited evaluations and 10,000 monthly security probes at $0 cost. Compare models like GPT-4 and Claude side-by-side to minimize API spend without hidden software fees.
If you’re still testing your AI prompts by copy-pasting them into ChatGPT one at a time, you are doing it the hard way. Promptfoo is a free, open-source tool that automates this chaos, allowing you to run your prompt against hundreds of inputs (and models) instantly—with a generous 10,000 "red team" security probes per month on the free plan.
It’s not a polished iPhone app; it’s a command-line tool for your computer. But for anyone serious about getting practical results from AI, it is the ultimate "power move" that costs absolutely nothing to use forever.
The Matrix View: Runs your single prompt against multiple models (like GPT-4, Claude 3.5, and Gemini) side-by-side.
Red Teaming: Automatically attacks your prompt with "jailbreak" attempts (e.g., trying to trick your customer service bot into acting weird).
Automated Grading: You set the rules (e.g., "Must be under 200 words" or "Must not mention competitors").
Promptfoo is unique because it runs locally on your machine. The "catch" is that you need to bring your own API keys (from OpenAI, Anthropic, etc.), so you pay those companies directly for the text you generate. Promptfoo itself charges you nothing for the software.
| Plan | Cost | Key Limits/Perks |
|---|---|---|
| Community | $0 | Unlimited local evaluations. 10,000 "Red Team" security probes/month. |
| Enterprise | Custom | SSO, team dashboards, and unlimited cloud-hosted security scanning. |
While Promptfoo is the open-source hero, the competition is fierce for those who want a prettier interface.
Promptfoo marks the shift from "Prompt Engineering" to "Prompt Reliability." We are leaving the era where we treat AI like a magic 8-ball and entering one where we treat it like software—something that needs to be tested, broken, and fixed.
It requires getting your hands dirty with a terminal window, which might scare off the casual user. But if you push through that 15-minute learning curve, you gain a superpower: the ability to know your AI works, rather than just hoping it does. For the "practical AI" user, that certainty is priceless.