thinkhub 0.2.8

ThinkHub is a versatile Python framework that provides a unified interface for interacting with multiple AI services, such as chat and transcription. It simplifies the integration process and allows developers to extend its functionality by creating and registering custom plugins. ThinkHub is designed for flexibility and scalability, making it an ideal choice for projects that rely on AI-driven services.

ThinkHub

ThinkHub is a Python-based framework that provides a unified interface for interacting with multiple AI services. Designed for extensibility, users can integrate new services by creating and registering their own plugins or classes. The project simplifies configurations, supports multiple providers, and prioritizes user-friendly customization.

Key Features

• Multi-Service Integration: Interact seamlessly with multiple AI services (e.g., chat, transcription).
• Plugin System: Register and use custom classes to extend functionality.
• Dynamic Configuration: Load and manage configurations with environment variable overrides.
• Error Handling: Robust exception system for identifying and managing provider-related issues.
• Poetry Support: Modern dependency and environment management with Poetry.
• Python 3.11+: Leverages the latest features of Python for performance and simplicity.

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Installation

1. Clone the repository:

   git clone https://github.com/mfenerich/thinkhub.git
   cd thinkhub
   

2. Install dependencies with Poetry: Ensure Poetry is installed on your system. Then run:

   poetry install
   

3. Activate the virtual environment:

   poetry shell
   

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Usage

Chat Services

To use a chat service like OpenAI:

from thinkhub.chat import get_chat_service

chat_service = get_chat_service("openai", model="gpt-4o")
async for response in chat_service.stream_chat_response("Hello, ThinkHub!"):
    print(response)

Transcription Services

To use a transcription service like Google:

from thinkhub.transcription import get_transcription_service

transcription_service = get_transcription_service("google")
result = await transcription_service.transcribe("path/to/audio.flac")
print(result)

Registering Custom Plugins

ThinkHub allows users to create and register their own services by extending the base classes and utilizing the factory functions (get_chat_service and get_transcription_service).

Example: Registering a Custom Chat Service

To register a custom chat service, extend the base class ChatServiceInterface and implement its methods:

from thinkhub.chat.base import ChatServiceInterface
from thinkhub.chat import register_chat_service

class CustomChatService(ChatServiceInterface):
    """A custom implementation of a chat service."""
    
    def __init__(self, **kwargs):
        self.custom_param = kwargs.get("custom_param", "default_value")
    
    async def stream_chat_response(self, input_data, system_prompt=""):
        yield f"Custom response to: {input_data}"

# Register the service
register_chat_service("custom", CustomChatService)

Usage

Once registered, the custom service can be retrieved via get_chat_service:

from thinkhub.chat import get_chat_service

chat_service = get_chat_service("custom", custom_param="example")
async for response in chat_service.stream_chat_response("Hello!"):
    print(response)

Example: Registering a Custom Transcription Service

Similarly, transcription services can be registered by extending the TranscriptionServiceInterface:

from thinkhub.transcription.base import TranscriptionServiceInterface
from thinkhub.transcription import register_transcription_service

class CustomTranscriptionService(TranscriptionServiceInterface):
    """A custom implementation of a transcription service."""
    
    async def transcribe(self, file_path):
        return f"Transcription for {file_path}"

# Register the service
register_transcription_service("custom", CustomTranscriptionService)

Usage

The custom transcription service can then be retrieved via get_transcription_service:

from thinkhub.transcription import get_transcription_service

transcription_service = get_transcription_service("custom")
result = await transcription_service.transcribe("path/to/file")
print(result)

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Error Handling

Custom exceptions are provided to make debugging easier:

• BaseServiceError: Base class for all service-related errors.
• ProviderNotFoundError: Raised when a requested provider is not found.

Example:

from thinkhub.exceptions import ProviderNotFoundError

try:
    raise ProviderNotFoundError("Provider not found!")
except ProviderNotFoundError as e:
    print(e)

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Development

1. Run Tests: Add your tests in the appropriate directories and run:

   poetry run pytest
   

2. Code Linting: Ensure code quality with:

   poetry run flake8
   

3. Build the Project:

   poetry build
   

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Contributing

Contributions are welcome! Please fork the repository and create a pull request for any changes.

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License

This project is licensed under the MIT License.

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Acknowledgments

Special thanks to the open-source community for providing the tools and libraries that made this project possible.