aibom-cli 0.2.0

Generate EU AI Act Annex IV compliance documentation from your ML codebase

AIBOM

Generate EU AI Act Annex IV compliance documentation from your ML codebase in one command.

pip install aibom-cli
aibom scan ./your-project

What it does

AIBOM scans your Python ML project and outputs a structured document listing:

• Datasets — HuggingFace datasets, TensorFlow datasets, PyTorch torchvision datasets
• Models — HuggingFace pretrained models, OpenAI models, Anthropic models
• External APIs — OpenAI, Anthropic, Google AI, Cohere, Replicate

This covers the dataset and model documentation requirements in EU AI Act Annex IV, Section 2.

Installation

pip install aibom-cli

Requires Python 3.9+

Usage

# Scan a project, output JSON (default)
aibom scan ./my-project

# Save to file
aibom scan ./my-project --output report.json

# Markdown output
aibom scan ./my-project --format markdown --output report.md

Example output

{
  "aibom_version": "0.1.0",
  "generated_at": "2026-03-13T13:51:17Z",
  "project_path": "./my-project",
  "datasets": [
    {
      "name": "squad",
      "source": "huggingface",
      "source_url": "https://huggingface.co/datasets/squad",
      "detected_in": "train.py:4"
    }
  ],
  "models": [
    {
      "name": "gpt-4",
      "provider": "openai",
      "model_card_url": null,
      "detected_in": "inference.py:12"
    }
  ],
  "apis": [
    {
      "provider": "openai",
      "endpoint_pattern": "chat.completions.create",
      "detected_in": "inference.py:12"
    }
  ]
}

What is the EU AI Act?

The EU AI Act requires providers of high-risk AI systems to maintain technical documentation including the datasets and models used. AIBOM generates the dataset and model inventory component of that documentation automatically.

Relevant articles: Annex IV Section 2, Article 11, Article 13.

Full enforcement for high-risk AI systems begins August 2027. Foundation model transparency rules are in effect since August 2025.

Detection coverage

Source	Detected via
HuggingFace datasets	load_dataset() calls
HuggingFace models	from_pretrained() calls
OpenAI (new SDK)	client.chat.completions.create()
OpenAI (legacy)	openai.ChatCompletion.create()
Anthropic	client.messages.create()
TensorFlow datasets	tfds.load() calls
PyTorch torchvision	torchvision.datasets.*

License

MIT