🐰 NumNumDock
The Secure-by-Default Local AI Deployment Engine.
NumNumDock is a command-line tool that allows developers to run local Large Language Models (LLMs) securely. It wraps Ollama in a hardened Docker container with network isolation and provides a secure proxy for API key authentication.
🚀 Features
- Zero-Config Security: Runs Ollama in an isolated Docker network (no internet access).
- API Key Authentication: Built-in reverse proxy that verifies API keys before reaching the LLM.
- Advanced Secret Redaction: Fail-closed redaction layer that masks API keys, passwords, and PEM keys from generated text.
- Hardware Detection: Automatically recommends the best model based on your GPU/CPU.
- Random Port Allocation: Prevents port squatting and local network exposure.
📦 Installation
pip install numnumdock
🛠️ Usage Deploy a secure local model:
bash numnumdock run llama3.2:1b Check the status of your local deployments:
bash numnumdock status Run security diagnostics:
bash numnumdock doctor 🔒 Security Architecture NumNumDock ensures that your local AI is never exposed to the public internet. It creates an internal Docker bridge network, downloads the model securely, disconnects the container from the internet, and serves it via an authenticated FastAPI proxy on 127.0.0.1.
📄 License MIT License
Metadata
Release files for numnumdock 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| numnumdock-1.0.0.tar.gz | 6.8 kB | Without provenance | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| numnumdock-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.0 kB
Release files / numnumdock-1.0.0.tar.gz
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| Size | 6.8 kB |
| Tags | Source |
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Release files / numnumdock-1.0.0-py3-none-any.whl
| Download URL | numnumdock-1.0.0-py3-none-any.whl |
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| Tags | Python 3 |
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twine/7.0.0 CPython/3.11.9
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Security for numnumdock 1.0.0
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