simpletool 0.0.17

simpletool

Simpletool

SimpleTool is a lightweight, async-first Python framework designed for creating simple, strict, and explicit type-safe tools with minimal complexity. It embodies some of the Python design Zen principles, such as "Simple is better than complex" and "Explicit is better than implicit".

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
• Async support
• Environment variable handling
• Timeout management (def. 60s)

Example

Check out the tool_example.py to see how to use Simpletool to create a simple, type-safe tool.

Architecture Overview

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 SimpleInputModel {
        <<interface>>
        AutoValidation
    }
    
    SimpleTool <-- SimpleInputModel: arguments (Dict[str, Any])
    SimpleTool <-- SimpleInputModel: input_model (Type[SimpleInputModel])_

    Content --|> TextContent
    Content --|> ImageContent
    Content --|> FileContent
    Content --|> ErrorContent
    
    SimpleTool --> 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

• Async Execution:

  • Native async/await support
  • Configurable timeout management
  • Contex manager for easy resource management release

• Environment Integration:

  • Easy retrieval of environment variables (get_env)
  • Support for random API key selection from provided list (get_env)

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:

pip install simpletool

Quick Start

Creating a Tool

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

    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
• Define an input_model using Pydantic (SimpleInputModel)
• Implement the run method
• Return a list/sequence of content types
• Use async/await for asynchronous operations

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.