Create and manage task specific GPT AI agents through text-based prompt templates.

Interact with OpenAI's GPT models from your CLI using prompt-based agents. Simply drop your text files with GPT prompts into the templates folder to create your customized chat agents. Use langchain to enhance it further.

Clone the repository:

git clone https://github.com/steffenbew/siegfried-ai.git

Navigate to the project directory and install dependencies:

cd siegfried-ai
npm install

Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY=your_openai_api_key_here

Your API key can be found here.

Run the chat interface:

npm start

Follow the on-screen prompts to select a template and start chatting!

To provide multiline input, open the editor by submitting an empty input.

To return to the template selection, type exit.

Manage your chat agents in the templates directory:

templates/
├── Customer Support.txt
├── Developer.txt
├── Final Cut Pro.txt
├── Flynt Component.txt
├── Meeting Notes.txt
├── Titles.txt

Create a new chat agent by adding a text file with a prompt. The file name will be displayed in the selection.

1. Create a file named Code Documentation.txt in the templates directory with the following content:

Extend provided code with comments. Use clear and concise language.

2. Start the script, and select the template Code Documentation.
3. Open the editor, paste a code snippet, and the agent will generate code comments for your code.

Make the script available in any directory, by setting an alias in your .bashrc or .zshrc:

alias siegfried='(cd ~/your/path/siegfried-ai/ && npm start)'

The default editor can be changed via an environment variable:

export EDITOR="code -w"

For more information see Inquiry.js#Editor.

Steffen Bewersdorff

To contribute, please use GitHub Issues and PRs.

MIT © 2023 Steffen Bewersdorff