gedit_LLaMA is a Gedit plugin that integrates with openai API compatible local LLM servers (like llama.cpp) to ask questions about selected text. Features
  • Context-Aware Prompts: Automatically includes selected text in your prompt when asking LLaMA questions.
  • Streaming Support: Displays responses as they arrive, providing real-time output from the model.
  • Customizable Configuration: Easily configure API URL, API key, model name and keyboard shortcut.
  • Multi-line Prompt Input: Use a multi-line text area to compose complex prompts.
  • Copy To Clipboard: button to copy LLM response to clipboard.
Requirements
  • Gedit 44+
  • Python 3.x
  • `requests` library (install with `pip install requests` or via your distro's package manager `python3-requests`)
Installation 1. Install the schema: 
cp org.gnome.gedit.plugins.gedit_llama.gschema.xml ~/.local/share/glib-2.0/schemas/
glib-compile-schemas ~/.local/share/glib-2.0/schemas/
2. Copy plugin files: 
mkdir -p ~/.local/share/gedit/plugins
unzip gedit_LLaMA.zip -d ~/.local/share/gedit/plugins/
3. Enable the plugin:
  • Open Gedit
  • Go to `Edit` → `Preferences` → `Plugins`
  • Enable "Gedit LLaMA"
Usage
  • 1. Select text in your document (optional)
  • 2. Right-click in the editor and choose `Gedit LLaMA` → `Ask LLaMA`
  • 3. Enter a prompt in the dialog
  • 4. View results in a popup dialog that shows real-time streaming output
Configuration You can customize:
  • API URL (default: `http://127.0.0.1:5000/v1/chat/completions`)
  • API Key (if required by your server)
  • Model name (default: `llama.cpp`)
  • Keyboard shortcut (default: `<Ctrl><Alt>l`)
Access the configuration via:
  • Right-click menu → `Configure LLaMA`
How It Works
  • 1. Select text in your document
  • 2. Right-click and select "Ask LLaMA"
  • 3. Enter your question or instruction
  • 4. Plugin sends selected text (if any) + prompt to your local LLM server
  • 5. Response is displayed in a streaming popup dialog
Example Use Cases
  • Explain selected code snippets
  • Generate documentation for code
  • Find bugs or suggest improvements
  • Summarize selected text
  • Translate code comments
  • Debugging assistance
  • Code generation based on context
Notes
  • Requires a local LLM server like llama.cpp running at the configured URL
  • Supports both streaming and non-streaming responses
  • Plugin automatically detects when new tabs are opened and connects to their views
  • Uses GSettings for persistent configuration storage
Troubleshooting If you encounter issues:
  • 1. Ensure your local LLM server is running and accessible at the specified URL
  • 2. Verify that `requests` is installed (`pip install requests`)
  • 3. Check that the schema file was properly compiled using `glib-compile-schemas`
  • 4. Confirm the plugin is enabled in Gedit's preferences
License MIT License - see LICENSE file for details.