Metadata-Version: 2.4
Name: simpletool
Version: 0.0.31
Summary: simpletool
Home-page: https://github.com/nchekwa/simpletool-python/tree/master
Author: Artur Zdolinski
Author-email: contact@nchekwa.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pydantic>=2.10.4
Requires-Dist: typing-extensions
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

# Simpletool

SimpleTool is a lightweight Python framework designed for creating simple, strict, and explicit type-safe tools with minimal complexity. It supports both synchronous and asynchronous execution patterns, with the async functionality available in the dedicated `simpletool.asyncio` module. It embodies some of the Python design Zen principles, such as "Simple is better than complex" and "Explicit is better than implicit".

## ⚠️ Disclaimer [2025-03]

* 🛠️ __Under active development__: Expect frequent updates, bugs, and breaking changes.
* 🤓 __Check the release notes__: Always check the [release notes](./CHANGELOG.md) to verify if there are any breaking changes.

## 💡 Overview

Simpletool is a powerful SDK that provides a structured approach to building tools with:
- Standardized input and output content types
- Automatic JSON schema generation
- Both synchronous and asynchronous support
- Environment variable handling
- Timeout management in asyncio (def. 60s)

## ⚡️ Architecture Overview

```mermaid

classDiagram
    class Content {
        <<abstract>>
        +type: Literal["text", "image", "file", "error"]
        AutoValidation
    }
    
    class TextContent {
        +text: str
    }
    
    class ImageContent {
        +data: str
        +description: str
        +mime_type: str
    }
    
    class FileContent {
        +data: str
        +file_name: str
        +mime_type: str
        AutoValidation
    }
    
    class ErrorContent {
        +code: int
        +message: str
        +data: Any
    }
    
    class SimpleTool {
        <<abstract>>
        +name: str
        +description: str
        +input_model: Type[SimpleInputModel]
        +input_schema: Dict (auto generated)
        +output_schema: Dict (auto generated)
        +get_env(arguments: dict, prefix: str)
        +run(arguments: dict) Sequence[Content]
    }
    
    class AsyncSimpleTool {
        <<abstract>>
        +name: str
        +description: str
        +input_model: Type[SimpleInputModel]
        +input_schema: Dict (auto generated)
        +output_schema: Dict (auto generated)
        +get_env(arguments: dict, prefix: str)
        +run(arguments: dict) Sequence[Content]
    }
    
    class SimpleInputModel {
        <<interface>>
        AutoValidation
    }
    
    SimpleTool <-- SimpleInputModel: arguments (Dict[str, Any])
    SimpleTool <-- SimpleInputModel: input_model (Type[SimpleInputModel])_
    AsyncSimpleTool <-- SimpleInputModel: arguments (Dict[str, Any])
    AsyncSimpleTool <-- SimpleInputModel: input_model (Type[SimpleInputModel])_

    Content --|> TextContent
    Content --|> ImageContent
    Content --|> FileContent
    Content --|> ErrorContent
    
    SimpleTool --> Content: returns Sequence[Content]
    AsyncSimpleTool --> Content: returns Sequence[Content]
```

## 💻 Core Components

### `SimpleTool` Base Class and Key Features

The `SimpleTool` class provides a robust framework for building tools with the following key features:

- **Input Validation**: 
  - Uses Pydantic models for strict input validation (SimpleInputModel)
  - Automatic type checking and conversion based on Pydantic models
  - SimpleInputModel have own model_json_schema (removes `titles` and `descriptions` from the schema) for easy dump to text schema

- **Output Type Management**: 
  - Supports multiple content types (text, image, file, resource, error) for flexible output representation
  - Strict output type checking allow List or Seqence of Content Types Objects

- **Dynamic Schema Generation**: 

  - Input model needs to be defined as child of `SimpleInputModel` Type and assign to `input_model` attribute inside `SimpleTool` - them magic begins and automaticly:
    - Automatically creates output JSON schemas (`output_schema` / `output_model`) based on the defined `run` method typing 
    - Automatically creates input JSON schemas (`input_schema`) based on the input model

- **Execution Models**: 
  - **Synchronous Execution**: Default mode with the standard `run` method
  - **Asynchronous Execution**: Available via the `simpletool.asyncio` module with the `AsyncSimpleTool` class
  - Configurable timeout management
  - Context manager for easy resource management release

- **Environment Integration**: 
  - Easy retrieval of environment variables via the `env` parameter
  - Support for random API key selection from provided list of API keys

### Content Types

Simpletool defines several content types to standardize tool inputs and outputs:

- `TextContent`: Represents text-based content
- `ImageContent`: Handles base64 encoded images with optional metadata
- `FileContent`: Represents files with base64 encoded data
- `ResourceContent`: Manages external resource references
- `ErrorContent`: Provides structured error reporting
- `BoolContents`: Simple boolean content type

## 📦 Installation

Install the package using pip:

```bash
pip install simpletool
```

## 🔄 Quick Start

### 🛠️ Creating a Synchronous Tool

```python
from simpletool import SimpleTool, SimpleInputModel, Sequence, Field
from simpletool.types import TextContent

class InputModel(SimpleInputModel):
    name: str = Field(description="Name to greet")

class MyTool(SimpleTool):
    name = "greeting_tool"
    description = "A simple greeting tool"
    input_model = InputModel

    def run(self, arguments: dict) -> Sequence[TextContent]:
        # Validation and parsing of input arguments
        arg: InputModel = InputModel(**arguments)

        return [TextContent(text=f"Hello, {arg.name}!")]
```

### 🛠️ Creating an Asynchronous Tool

```python
from simpletool.asyncio import AsyncSimpleTool
from simpletool import SimpleInputModel, Sequence, Field
from simpletool.types import TextContent

class InputModel(SimpleInputModel):
    name: str = Field(description="Name to greet")

class MyAsyncTool(AsyncSimpleTool):
    name = "greeting_tool"
    description = "A simple greeting tool"
    input_model = InputModel

    async def run(self, arguments: dict) -> Sequence[TextContent]:
        # Validation and parsing of input arguments
        arg: InputModel = InputModel(**arguments)

        return [TextContent(text=f"Hello, {arg.name}!")]
```

## 📝 Development Guidelines

- Inherit Tool model from `SimpleTool` (or `AsyncSimpleTool` for async tools)
- Define an `input_model` using Pydantic (`SimpleInputModel`)
- Implement the `run` method (synchronous or asynchronous depending on your base class)
- Return a list/sequence of content types
- Use the `env` parameter for environment variables

## 📝 Contributing

Contributions are welcome! Please follow Python best practices and maintain the existing code style.

## 📄 License

This project is licensed under the MIT License.

## 📞 Contact

Contributions are welcome! Please submit a pull request with your changes.
