pleom-apitoolbox 1.0.2

Stateless API Mapping Context for LLM Tooling - Python SDK

ApiToolBox Python SDK

Stateless API Mapping Context for LLM Tooling - Python SDK

Overview

ApiToolBox provides a unified interface for loading and managing API service definitions, making it easy to integrate various APIs into LLM applications. This Python SDK is designed for server-side usage and provides async support for efficient API operations.

Installation

pip install pleom-apitoolbox

Quick Start

Basic Usage

import asyncio
from pleom_apitoolbox import ApiToolBox, User, ServiceConfig

async def main():
    # Initialize ApiToolBox
    api_toolbox = ApiToolBox()
    
    # Load services
    await api_toolbox.load_services(['vercel', 'github'])
    
    # List available services
    services = api_toolbox.get_services()
    print(f"Loaded services: {services}")
    
    # List available tools
    tools = await api_toolbox.list_tools(model='openai')
    print(f"Available tools: {len(tools)}")

if __name__ == "__main__":
    asyncio.run(main())

Making Authenticated API Calls

import asyncio
from pleom_apitoolbox import ApiToolBox, User, ServiceConfig

async def main():
    # Initialize ApiToolBox and load services
    api_toolbox = ApiToolBox()
    await api_toolbox.load_services(['vercel'])
    
    # Configure service authentication
    service_configs = [
        ServiceConfig('vercel', {
            'Authorization': 'Bearer your-vercel-token'
        })
    ]
    
    # Create user instance
    user = User(api_toolbox, service_configs)
    
    # Find a specific tool
    tool = api_toolbox.find_tool_by_id('vercelRetrieveAListOfProjects')
    if tool:
        print(f"Found tool: {tool['name']}")
        
        # Call the tool
        try:
            result = await user.call_tool('vercelRetrieveAListOfProjects')
            print(f"API Response: {result}")
        except Exception as e:
            print(f"Error calling tool: {e}")

if __name__ == "__main__":
    asyncio.run(main())

Tool Format Examples

# Get tools in different formats
tools_openai = await api_toolbox.list_tools(model='openai')
tools_claude = await api_toolbox.list_tools(model='claude') 
tools_gemini = await api_toolbox.list_tools(model='gemini')

# Raw tools (unformatted)
raw_tools = await api_toolbox.list_tools(filter_tools=False)

API Reference

ApiToolBox

Main class for managing API services and tools.

Methods

• get_services() -> List[str]: Get list of loaded services
• list_tools(model='gemini', filter_tools=True) -> List[Dict]: Get formatted tools
• find_tool_by_id(tool_id: str) -> Optional[Dict]: Find tool by ID
• load_services(services: List[str], force_download=False): Load services
• unload_service(service_name: str): Unload a service

User

Class for making authenticated API calls.

Methods

• call_tool(tool_id: str, parameters=None) -> Dict: Call an API tool
• validate_tool_call(tool_id: str, response) -> bool: Validate API response
• get_config() -> Dict: Get current configuration
• update_config(config: Dict): Update configuration

ServiceConfig

Configuration for API services.

config = ServiceConfig('service_name', {
    'Authorization': 'Bearer token',
    'apiKey': 'your-api-key',
    # ... other headers/config
})

Development

Setup Development Environment

git clone https://github.com/pleom/apitoolbox.git
cd apitoolbox
pip install -e ".[dev]"

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=pleom_apitoolbox --cov-report=html

# Run specific test
pytest tests/test_api_toolbox.py

Code Formatting

# Format code
black pleom_apitoolbox/
isort pleom_apitoolbox/

# Type checking
mypy pleom_apitoolbox/

# Linting
flake8 pleom_apitoolbox/

Testing Your Installation

Create a test script:

# test_installation.py
import asyncio
from pleom_apitoolbox import ApiToolBox

async def test_basic_functionality():
    print("Testing ApiToolBox...")
    
    # Test basic initialization
    api_toolbox = ApiToolBox()
    print("✓ ApiToolBox initialized successfully")
    
    # Test getting services (should be empty initially)
    services = api_toolbox.get_services()
    print(f"✓ Services: {services}")
    
    # Test listing tools (should be empty initially)
    tools = await api_toolbox.list_tools()
    print(f"✓ Tools: {len(tools)} tools found")
    
    print("✓ All tests passed!")

if __name__ == "__main__":
    asyncio.run(test_basic_functionality())

Run the test:

python test_installation.py

Deployment to PyPI

Prerequisites

1. Install build tools:

pip install build twine

2. Create PyPI account and get API token

Building the Package

# Clean previous builds
rm -rf dist/ build/ *.egg-info/

# Build the package
python -m build

Upload to PyPI

# Upload to Test PyPI first
twine upload --repository testpypi dist/*

# Test installation from Test PyPI
pip install --index-url https://test.pypi.org/simple/ pleom-apitoolbox

# Upload to production PyPI
twine upload dist/*

License

MIT License - see LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Run the test suite
6. Submit a pull request

Support

• GitHub Issues: https://github.com/pleom/apitoolbox/issues
• Homepage: https://apitoolbox.dev