A simple library for prototyping and learning agent-based reasoning with tools.
Project description
servants
A simple Python library for prototyping and learning agent-based reasoning with tools.
This package helps you quickly prototype agent architectures that use tools (functions) and step-by-step reasoning. It is designed for educational and experimental purposes, not for production use.
Installation
pip install servants
Usage
from servants import Tool
def get_weather(city: str) -> str:
"""Gets the current weather for a given city."""
if "london" in city.lower():
return "Rainy"
elif "paris" in city.lower():
return "Sunny"
else:
return "Cloudy"
tool = Tool(get_weather, "get_weather", "A tool to get the current weather for a city.")
schema = tool.build_tool_schema()
print(schema)
What does it do?
- Automatically generates a JSON schema for any Python function's parameters and types.
- Makes it easy to describe agent tools and methods for LLMs or other automation systems.
- Minimal, easy-to-use API.
Note
This library is intended for prototyping and learning. For production-grade agent frameworks, see LangChain or similar projects.
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