LLM Workflow Engine

LLM Workflow Engine (LWE) is a Power CLI and Workflow manager for LLMs.

Read the documentation

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Welcome!

What would you like to do?

• Learn about the project
• Install LWE
• Learn how to use it
• Read the documentation
• Learn more about configuration/features
• Troubleshoot common issues
• Upgrade LWE
• Using GPT4
• Report a bug
• Get support

What happend to the original ChatGPT Wrapper project?

See CHATGPT_WRAPPER.md

ChatGPT Wrapper was an amazing tool for its time, thank you to its original creator mmabrouk for all your hard work, it lives on in a new form :)

Highlights

🤖 LWE lets you use the powerful ChatGPT/GPT4 bot from the command line.

💬 Runs in Shell. You can call and interact with ChatGPT/GPT4 in the terminal.

💻 Supports official ChatGPT API. Make API calls directly to the OpenAI ChatGPT endpoint (all supported models accessible by your OpenAI account)

🔌 Simple plugin architecture. Extend LWE with custom functionality

🗣 Supports multiple LLM providers. Provider plugins allow interacting with other LLMs (GPT-3, Cohere, Huggingface, etc.)

🔄Build workflows. Easily integrate calls to an LLM into larger workflows via Ansible Playbooks

🔧 Tool use. (for supported providers)

🐳 Docker image. LWE is also available as a docker image. (experimental)

🐍Python API. LWE also has a Python library that lets you use ChatGPT/GPT4 in your Python scripts.

Projects built with the original ChatGPT Wrapper

• bookast: ChatGPT Podcast Generator For Books
• ChatGPT.el: ChatGPT in Emacs
• ChatGPT Reddit Bot
• Smarty GPT
• ChatGPTify
• selection-to-chatgpt

Contributing

We welcome contributions to LWE! If you have an idea for a new feature or have found a bug, please open an issue on the GitHub repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• The original ChatGPT Wrapper project (which LWE grew from) was created and maintained by mmabrouk
• The original ChatGPT Wrapper project is a modification from Taranjeet code which is a modification of Daniel Gross code.

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