AIGauntlet
A pip-installable library to locally run a gauntlet test on your AI agent or system.
Installation
pip install aigauntlet
Quick Start
from aigauntlet import QuickPrivacyTrial
# Create and run a privacy trial
trial = QuickPrivacyTrial(agent_function=your_agent_function)
results = trial.run()
Features
- Evaluate AI agent privacy protections
- Test agent responses to various prompts
- Generate detailed reports on agent performance
Requirements
- Python 3.12+
- Dependencies are automatically installed with pip
License
This project is licensed under the terms of the license included in the repository.
1 maintainer
Metadata
1 maintainer
Release files for aigauntlet 0.1.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aigauntlet-0.1.8.tar.gz | 50.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aigauntlet-0.1.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 92.0 kB
Release files / aigauntlet-0.1.8.tar.gz
| Download URL | aigauntlet-0.1.8.tar.gz |
|---|---|
| Size | 50.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Release files / aigauntlet-0.1.8-py3-none-any.whl
| Download URL | aigauntlet-0.1.8-py3-none-any.whl |
|---|---|
| Size | 41.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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