thinkhub 0.3.5

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

• Lazy Loading: Only loads the dependencies required for the selected service, reducing memory and installation overhead.
• Multi-Service Integration: Interact seamlessly with multiple AI services (e.g., chat, transcription, image processing).
• 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 and pip Support: Flexible dependency and environment management.
• Python 3.11+: Leverages the latest features of Python for performance and simplicity.

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Supported Services

Audio Transcriptions

• OpenAI: Using the whisper-1 model.
• Google Speech-to-Text

Chat

• OpenAI: Supporting models like gpt-4 and gpt-3.5.
• Anthropic: Supporting Claude.ai.

Image Processing

• OpenAI: Analyze and process images with AI models.

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Installation

ThinkHub uses a lazy-loading strategy to optimize memory usage and avoid installing unused dependencies. You can install ThinkHub using either Poetry or pip, as shown below:

1. Install the Base Library

• Poetry:

  poetry add thinkhub
  

• pip:

  pip install thinkhub
  

2. Install with Specific Extras

Install only the required dependencies based on the service(s) you plan to use:

• OpenAI Chat:

  • Poetry:

    poetry add thinkhub --extras openai
    

  • pip:

    pip install thinkhub[openai]
    

• Google Transcription:

  • Poetry:

    poetry add thinkhub --extras google
    

  • pip:

    pip install thinkhub[google]
    

• Anthropic Chat:

  • Poetry:

    poetry add thinkhub --extras anthropic
    

  • pip:

    pip install thinkhub[anthropic]
    

• Multiple Services (e.g., OpenAI and Anthropic):

  • Poetry:

    poetry add thinkhub --extras openai --extras anthropic
    

  • pip:

    pip install thinkhub[openai,anthropic]
    

3. Install All Services

If you want to install all available services:

• Poetry:

  poetry add thinkhub --extras all
  

• pip:

  pip install thinkhub[all]
  

4. Activate the Virtual Environment

• Poetry:

  poetry shell
  

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Usage

Lazy Loading

ThinkHub uses lazy loading to dynamically import the dependencies required for a specific provider. This means that:

1. Dependencies are only loaded when needed.
2. Missing dependencies are flagged with clear error messages.

Example: If you attempt to use OpenAI services without the openai extra installed, ThinkHub will raise an error like this:

ImportError: Missing dependencies for provider 'openai': tiktoken. 
Install them using 'poetry install --extras openai' or 'pip install thinkhub[openai]'.

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)

Image Processing with OpenAI

ThinkHub supports image processing with OpenAI. Here’s an example of how to process multiple images asynchronously:

import asyncio
from thinkhub.chat import get_chat_service

async def process_image_with_openai(image_payloads):
    chat_service = get_chat_service("openai", model="gpt-4")
    async for response in chat_service.stream_chat_response(
        input_data=image_payloads, 
        system_prompt="Analyze these images."
    ):
        print(response)

# Prepare image payloads
image_payloads = [{"image_path": "path/to/image1.jpg"}, {"image_path": "path/to/image2.jpg"}]

# Process images with OpenAI
asyncio.run(process_image_with_openai(image_payloads))

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Error Handling

ThinkHub includes robust error handling to simplify debugging and configuration:

• Dependency Validation: ThinkHub will check for required dependencies dynamically and provide clear installation instructions.

• Custom Exceptions:

  • ProviderNotFoundError: Raised when a requested provider is not found.
  • ImportError: Raised when dependencies for a provider are missing.

Example:

from thinkhub.exceptions import ProviderNotFoundError

try:
    service = get_chat_service("unsupported_provider")
except ProviderNotFoundError as e:
    print(e)

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Development

1. Run Tests:

   poetry run pytest
   

2. Code Linting:

   poetry run ruff check .
   

3. Build the Project:

   poetry build
   

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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.