Metadata-Version: 2.4
Name: toolregistry
Version: 0.3.0
Summary: A library for managing tool registries
Author-email: Oaklight <oaklight@gmx.com>
License: MIT License
Project-URL: Homepage, https://github.com/Oaklight/ToolRegistry
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pydantic>=1.5.1
Provides-Extra: mcp
Requires-Dist: mcp>=1.6.0; extra == "mcp"
Dynamic: license-file

# ToolRegistry

[中文版](README_zh.md)

A Python library for managing and executing tools in a structured way.

## Features

- Tool registration and management
- JSON Schema generation for tool parameters
- Tool execution and result handling
- Support for both synchronous and asynchronous tools

## Installation

Basic installation (requires **Python >= 3.8**):

```bash
pip install toolregistry
```

With MCP extension (requires **Python >= 3.10**):

```bash
pip install "toolregistry[mcp]"
```

## Examples

### OpenAI Implementation

The [openai_tool_usage_example.py](examples/openai_tool_usage_example.py) shows how to integrate ToolRegistry with OpenAI's API.

### Cicada Implementation

The [cicada_tool_usage_example.py](examples/cicada_tool_usage_example.py) demonstrates how to use ToolRegistry with the Cicada MultiModalModel.

## OpenAI Integration

The ToolRegistry also integrates seamlessly with OpenAI's API. Here are some common usage patterns:

### Getting Tools JSON for OpenAI

```python
tools_json = registry.get_tools_json()
# Use this with OpenAI's API to provide available tools
```

### Executing Tool Calls

```python
# Assuming tool_calls is received from OpenAI's API
tool_responses = registry.execute_tool_calls(tool_calls)
```

### Recovering Assistant Messages

```python
# After executing tool calls
messages = registry.recover_tool_call_assistant_message(tool_calls, tool_responses)
# Use these messages to continue the conversation
```

### Manual Tool Execution

```python
# Get a callable function
add_fn = registry.get_callable("add")
result = add_fn(a=1, b=2)  # Output: 3
```


## MCP Integration

The ToolRegistry provides first-class support for MCP (Model Context Protocol) tools:

### Basic Usage

```python
from toolregistry import ToolRegistry

# Create registry and register MCP tools
registry = ToolRegistry()
registry.register_mcp_tools("http://localhost:8000/mcp/sse")

# Get all tools JSON including MCP tools
tools_json = registry.get_tools_json()
```

### Calling MCP Tools

```python
# Sync call using registry
result = registry["echo_tool"]("test sync message")

# Sync call using tool directly
echo_tool = registry.get_callable("echo_tool")
result = echo_tool.run({"message": "test sync message"})

# Async call using registry (requires await and asyncio.run)
result = await registry["echo_tool"].__acall__("test message")

# Async call using tool directly (requires await and asyncio.run)
result = await echo_tool.arun({"message": "test sync message"})
```

## Documentation

Full documentation is available at [https://toolregistry.lab.oaklight.cn](https://toolregistry.lab.oaklight.cn)

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
