llm-blocks 0.3.3

Simple interface for creating and managing LLM chains

LLM Blocks

LLM Blocks is a Python library that provides a simple interface for creating and managing Language Model (LLM) chains. It is designed to make it easy to interact with OpenAI's GPT-3 API.

📚 Table of Contents

• Why Use LLM Blocks
• Repo Structure
• Installation
• Usage
• Contributing
• License

🎯 Why Use LLM Blocks

LLM Blocks makes it easy to create and manage LLM chains. It provides a simple, intuitive interface for interacting with OpenAI's GPT-3 API. With LLM Blocks, you can focus on building your application without worrying about the intricacies of the API.

🏗️ Repo Structure

llm_blocks
├── .gitignore
├── llm_blocks
│   ├── __init__.py
│   └── blocks.py
├── requirements.txt
├── setup.py
└── turbo_docs.toml

📦 Installation

To install LLM Blocks, you can use pip:

pip install llm-blocks

🚀 Usage

LLM Blocks provides three main classes: Block, TemplateBlock, and ChatBlock. These classes are the recommended interfaces for calling OpenAI APIs.

Here is an example of how to use them:

from llm_blocks import Block, TemplateBlock, ChatBlock

template = "Hello, {name}! How are you?"

# Create a Block
block = Block()
response = block("Hello, world!")

# Create a TemplateBlock
template_block = TemplateBlock(template)
response = template_block("AI Friend")
# template_block(name="AI Friend") also valid

# Create a ChatBlock
chat_block = ChatBlock(template)
response = chat_block("AI Friend")
response = chat_block("What is the meaning of life?")

🤝 Contributing

Contributions are welcome! Please feel free to submit a pull request.

📧 Contact

If you have any questions or feedback, please feel free to contact the author at [e-mail].