The llm_tool_registry package simplifies tool/function calling integration with Language Models (LLMs) like OpenAI's GPT models. It provides a clean, type-safe way to register Python functions as tools that can be called by LLMs.
Key features:
- Type-safe function registration with automatic JSON Schema generation
- Automatic parameter validation and documentation checking
- Support for OpenAI's function calling format
- Clean decorator-based API for registering tools
- Built-in docstring validation to ensure complete documentation
- Handles common Python types including strings, numbers, booleans, lists, and dictionaries
- Support for optional parameters and Union types
Example usage:
from llm_tool_registry import ToolRegistry
registry = ToolRegistry()
@registry.tool()
def get_weather(location: str, unit: str = "celsius") -> dict:
"""Get the weather for a location.
Args:
location: The city and state/country
unit: The temperature unit (celsius/fahrenheit)
"""
# Implementation here
pass
# Get OpenAI-compatible schema
schemas = registry.get_openai_schema()
# Execute registered tool
result = registry.execute("get_weather", location="London, UK")
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Release files for llm-tool-registry 0.1.1
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Total release size: 6.9 kB
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