GraphCanon updated Oct 5, 2026 · GitHub synced Oct 5, 2026
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611 stars87 forksLast push Feb 27, 2026 Python MIT
Decision brief
GPTFuzz leverages auto-generated jailbreak prompts to red team large language models for testing and evaluation.
Good fit when
- When you need to test the robustness of LLMs against potential manipulative input designed to bypass content controls.
- To enhance security measures by simulating attacks on AI systems, particularly useful in environments requiring strict regulatory compliance.
Avoid when
- If your project requires straightforward, uncontroversial testing tools that do not engage with sensitive content control evasion techniques.
- For general-purpose debugging and optimization tasks where red teaming tactics are not necessary or appropriate.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (219d since push)
- As of Oct 5, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 5, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install GPTFuzzSimilar 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
Official repo for GPTFUZZER, which focuses on red teaming large language models via auto-generated jailbreak prompts.
Capability facts
- Languages
- python
Source: github.language · Oct 5, 2026
Categories
Tags
README
Installation Please refer to install.ipynb
For agents
This page has a .md twin and JSON over the API.