ToolRegistry Documentation¶
Welcome to the official documentation for ToolRegistry, a Python library designed to register, manage, and execute tools (functions) for Agentic AI and large language model applications. This documentation is organized by topic to help you quickly find and learn about different aspects of the library.
Documentation Contents¶
Here are brief introductions and links to each section:
Installation Guide Detailed instructions for installing ToolRegistry, including basic installation and MCP-supported installation.
Usage Guide Provides getting started examples and tutorials to help you quickly learn tool registration, invocation, and management.
OpenAI Integration Explains how to use ToolRegistry with OpenAI API through function calling.
MCP Tool Usage Guides on integrating MCP (Modular Component Protocol) with ToolRegistry to register and call MCP tools.
Examples Demonstrates practical use cases, including consecutive tool call examples.
Best Practices Offers principles and recommendations for designing and implementing tools.
API References Comprehensive API documentation for all classes and methods in ToolRegistry.
Overview¶
ToolRegistry is a powerful Python library that simplifies the registration, management, and execution of tools (functions). Whether you’re building systems integrated with large language models or need structured tool management, ToolRegistry provides a consistent interface supporting both synchronous and asynchronous tool calls.
This documentation details how to install, configure, and use the library in real projects. Browse the sections in the left menu to find the information you need.
Getting Started¶
Quickly start using ToolRegistry by installing it with this command:
pip install toolregistry
License¶
ToolRegistry is licensed under the MIT License.