llm-blocks 0.2.6

Simple interface for creating and managing LLM chains

LLM-Blocks :chains:

LLM-Blocks is a Python library that provides a simple interface for creating and managing Language Learning Model (LLM) chains. It leverages the power of OpenAI's GPT-3.5-turbo to generate chat-like completions.

:book: Table of Contents

• Why Use LLM-Blocks
• Repo Structure
• Installation
• Example Usage

:rocket: Why Use LLM-Blocks

LLM-Blocks stands out from the crowd by providing a super simple interface for creating and managing LLM chains. It's perfect for developers who want to leverage the power of GPT-3.5-turbo without getting into the complexities of managing the model. With LLM-Blocks, you can create GPT completions and stream or batch outputs with ease.

:file_folder: Repo Structure

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

:wrench: Installation

To install LLM-Blocks, run the following command:

pip install llm-blocks

:computer: Example Usage

Here's a simple example of how to use the GenericChain class in LLM-Blocks:

from llm_blocks.chat_utils import GenericChain

# Initialize the GenericChain class
chain = GenericChain(template="Hello, {name}!")

# Call the model with the given inputs
response = chain(name="John Doe")

# Print the response
print(response)

In this example, the GenericChain class is initialized with a template. The model is then called with the given inputs, and the response is printed.

:heart: Support

If you like this project, please give it a :star: on GitHub!