privacyforms.ai 0.1.1

PrivacyForms AI - LLM integration module

PrivacyForms AI

A Python CLI tool for interacting with Large Language Models (LLMs) via Simon Willison's llm library. Supports multiple providers including OpenAI, Anthropic, Moonshot, and Ollama.

Features

• 🔧 Simple CLI - Easy-to-use command-line interface
• 💬 Interactive Chat - Multi-turn conversations with context/memory
• 🚀 Multiple Providers - Works with OpenAI, Anthropic, Moonshot, Ollama, and more
• 🧪 Well Tested - Comprehensive test coverage
• ⚡ Fast - Built with modern Python tooling

Installation

Using uv (recommended)

# Clone the repository
git clone https://github.com/zopyx/privacyforms.ai.git
cd privacyforms.ai

# Install with uv
uv sync

# Or install in development mode
uv sync --all-extras --dev

Using pip

pip install privacyforms-ai

Configuration

Set your API keys as environment variables:

# OpenAI
export OPENAI_API_KEY="your-key"

# Anthropic
export ANTHROPIC_API_KEY="your-key"

# Moonshot
export MOONSHOT_API_KEY="your-key"

For Ollama, make sure the Ollama server is running locally.

Usage

List Available Models

privacyforms-ai models

# JSON output
privacyforms-ai models --json

Send a Single Prompt

# Basic prompt
privacyforms-ai prompt gpt-4o-mini "What is the capital of France?"

# With system prompt
privacyforms-ai prompt gpt-4o-mini "Explain recursion" --system "You are a computer science tutor"

Interactive Chat

Start an interactive chat session with conversation history:

# Basic chat
privacyforms-ai chat moonshot/kimi-k2.5

# With system prompt
privacyforms-ai chat gpt-4o-mini -s "You are a helpful coding assistant"

Chat Commands:

• /quit, /exit, /q - End the chat session
• /clear - Clear conversation history
• /model - Show current model

Example session:

Starting chat with model: moonshot/kimi-k2.5
Type /quit, /exit, or /q to end the session. Type /clear to reset history.
--------------------------------------------------

You: Hello!

AI: Hello! How can I help you today?

You: What can you do?

AI: I can help with a variety of tasks including...

You: /quit

Goodbye!

Development

Setup

# Clone and setup
git clone https://github.com/zopyx/privacyforms.ai.git
cd privacyforms.ai
uv sync --all-extras --dev
source .venv/bin/activate

Running Tests

# Run all tests
uv run pytest

# With coverage
uv run pytest --cov=privacyforms_ai --cov-report=term

# Verbose output
uv run pytest -v

Code Quality

# Format code
uv run ruff format .

# Check formatting
uv run ruff format --check .

# Lint
uv run ruff check .

# Auto-fix linting issues
uv run ruff check --fix .

# Type check
uv run ty check --python-version 3.12 src/

Build Package

uv run python -m build

API Design

See API_DESIGN.md for the REST API and WebSocket design specification for multi-chat server functionality.

Project Structure

privacyforms.ai/
├── src/privacyforms_ai/
│   ├── __init__.py
│   ├── ai.py              # AI class for LLM interactions
│   └── cli.py             # Click CLI commands
├── tests/
│   ├── conftest.py        # Pytest fixtures
│   ├── test_ai.py         # AI class tests
│   └── test_cli.py        # CLI tests
├── pyproject.toml         # Project configuration
├── uv.lock               # Locked dependencies
└── README.md

CI/CD

GitHub Actions workflow runs on:

• Python 3.12, 3.13, 3.14, 3.14t (free-threaded)
• Ubuntu Linux

Jobs:

• test - Run pytest with coverage
• lint - ruff (formatting, linting) and ty (type checking)

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes with tests
4. Ensure all checks pass (uv run ruff format --check . && uv run ruff check . && uv run ty check src/ && uv run pytest)
5. Submit a pull request

Acknowledgments

• Built on top of Simon Willison's llm library
• Uses Astral's uv for fast Python package management