toolwrap-lite 0.3.0

Auto-generate OpenAI-compatible tool schemas from Python functions using decorators.

toolwrap-lite

toolwrap-lite is a lightweight Python package that automatically converts your Python functions into OpenAI-compatible function calling schemas using a simple decorator.

With Toolwrap-Lite, you can effortlessly expose any Python function — whether it's for CRM APIs, database queries, business logic, or custom tools — to modern AI agents, LLM frameworks, and autonomous systems that rely on structured tool schemas.

No more manually writing JSON schemas. Just decorate your function, and Toolwrap-Lite takes care of the rest.

Features

• No manual JSON writing
• Auto-extracts type hints and docstrings
• Export all tools into tools.json
• Plug into OpenAI, LangChain, or CrewAI easily

Example Use Cases

• Autonomous agents calling real APIs (CRM, finance, weather, analytics, etc.)
• RAG systems with dynamic function augmentation
• LangChain or CrewAI toolchains
• Backend SaaS tools exposed to AI copilots
• AI-powered automation platforms
• Self-hosted AI assistants with external tool access

Installation

pip install toolwrap-lite

Usage

from toolwrap_lite import tool, get_registered_tools

@tool
def add(x: int, y: int) -> int:
    """Add two numbers."""
    return x + y

print(get_registered_tools())

Export to JSON

from toolwrap_lite import export_tools_to_json
export_tools_to_json("tools.json")

Example Tool

@tool
def summarize_tweets(username: str, count: int = 5, language: str = "en") -> str:
    """Summarize tweets from a username."""
    return "Summary..."