Evaluation & Testing

PromptInject

Modular prompt assembly for robustness analysis of LLMs against adversarial attacks.

Status
UnmaintainedNo commits in 1377 days.
Last checked
Aging · Sep 2, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

PromptInject is a framework that assembles prompts in a modular fashion to provide quantitative analysis of the robustness of large language models (LLMs) to adversarial prompt attacks. It was awarded Best Paper at NeurIPS ML Safety Workshop 2022.

PromptInject stands out by providing a modular and quantitative approach to assessing LLM robustness against adversarial attacks, making it an essential tool for AI safety research.

When it fits — and when it doesn’t

A good fit for

  • Researchers studying adversarial attacks on LLMs who need a modular framework to assemble and test prompts

  • Teams developing AI safety measures for large language models in sensitive applications

Look elsewhere if

  • Developers looking for real-time security monitoring solutions as PromptInject is focused on offline analysis

  • Projects with limited computational resources due to the potentially intensive nature of prompt evaluation

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples for complex use cases

    Official docs lack detailed guides on advanced prompt assembly techniques

  2. 02

    Small community size limits support and contribution

    GitHub repository has fewer than 10 contributors and limited activity in issue discussions

What it does well

  • Modular prompt assembly for robustness analysis

  • Quantitative evaluation of LLMs against adversarial attacks

  • Award-winning framework from NeurIPS ML Safety Workshop

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up PromptInject

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →