ReNeLLM
Implementation of generalized nested jailbreak prompts targeting large language models.
GraphCanon updated Oct 5, 2026 · GitHub synced Oct 5, 2026
42views this month
Decision brief
ReNeLLM is an implementation of generalized nested jailbreak prompts targeting large language models such as gpt-3.5-turbo and claude-v2.
Good fit when
- When you aim to evaluate the susceptibility of LLMs like gpt-3.5-turbo and claude-v2 to deception or jailbroken prompts.
- For research purposes, particularly in understanding adversarial prompt crafting techniques against state-of-the-art language models.
Avoid when
- When you wish to develop applications that strictly adhere to ethical guidelines and do not involve the testing of harmful prompts.
- If your focus is on building production-ready LLM-based services without interest in evaluating security or adversarial aspects of these models.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (397d since push)
- As of Oct 5, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 5, 2026
- Security (OSV)
- 73 low (73 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install ReNeLLMSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ReNeLLM is designed to showcase how targeted prompt crafting can deceive large language models like gpt-3.5-turbo and claude-v2, providing a testing framework for evaluating the effectiveness of such deception techniques.
Capability facts
- Languages
- python
Source: github.language · Oct 5, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 5, 2026)
python renellm.py --gpt_api_key <your openai API key> --claude_api_key <your anthropic API key>Source link
Source: README excerpt (regex_v1, Oct 5, 2026)
python renellm.py --gpt_api_key <your openai API key> --claude_api_key <your anthropic API key>Source link
Source: README excerpt (regex_v1, Oct 5, 2026)
conda create -n ReNeLLM python=3.9Source link
Tags
README
Getting Started 1. Clone this repository 2. Build Environment 3. Run ReNeLLM ReNeLLM employs for prompt rewriting and harmful classifier, while utilizing as the model under attack. Therefore, you are required to input both of these API key parameters. We use these two models due...
For agents
This page has a .md twin and JSON over the API.