terminal integration with llama4 for optimized coding queries

• (#llama4-terminal)
  • Table of Contents
  • Overview
  • Prerequisites
  • Configuration
  • Installation
  • Usage
  • Arguments
  • Examples
  • Troubleshooting

The LLAMA 4 Terminal Client is a command-line interface (CLI) tool that interacts with the LLAMA 4 model. It allows users to send text and images to the model and receive responses. The tool is designed to facilitate coding queries, debugging, and other development-related tasks.

The client can process various types of input, including:

• Text messages
• Code files
• Images (local or from clipboard)
• Directory trees
• Bug reports

The client uses the LLAMA 4 model to generate responses based on the input provided.

• Python 3.x installed on your system
• openai and rich libraries installed (pip install openai rich)
• PIL library installed (pip install pillow)
• dotenv library installed (pip install python-dotenv)
• wl-paste and xclip commands available for clipboard functionality (optional)
• tree command available for generating directory trees (optional)

1. Create a .env file in the root directory with the following variables: * LLAMA_API_KEY: Your LLAMA API key * LLAMA_API_BASE_URL: The base URL for the LLAMA API * PROPRIETARY_API_KEY: Your proprietary API key (if using a different model) * PROPRIETARY_API_BASE_URL: The base URL for the proprietary API (if using a different model)
2. Create a prompt directory with the following files: * __src_context__.md: A list of code files to include in the context * __system_context__.md: System context to use as user text * __prompt__.md: Prompt context to include in the user text * __images__.md: A list of image files to include in the context * __bug__.md: Bug report to include in the context

1. Run the script using python llama4_terminal_client.py
2. Use the available arguments to customize the input and behavior (see below)

To install the LLAMA 4 Terminal Client, follow these steps:

1. Clone the repository to your local machine.
2. Navigate to the repository directory and run ./install.sh to install the client.
3. Create a .env file in the /usr/local/bin directory with the required environment variables.
4. Create a prompt directory with the necessary files as described in the Configuration section.

After installation, you can use the client by running python /usr/local/bin/llama4_terminal_client.py followed by the desired arguments. You can also create an alias for ease of use.

• -i, --image: Path to a local image file
• -I, --image-context: Use image context from ./prompt/__images__.md
• -f, --file: Path to a text file
• -c, --code-context: Use code context from ./prompt/__src_context__.md (a list of filepaths to be read and used as context)
• -s, --system-context: Use system context from ./prompt/__system_context__.md as user text to provide instructions that are persistent
• -p, --prompt-context: Use prompt context from ./prompt/__prompt__.md: this is the default prompt
• -r, --response: Use previous response as context
• -m, --message: Message to be sent for quick cli messaging rather than sending a prompt.md file
• -v, --verbose: Print input to console for verification of the prompt sent to the model
• -M, --model: Define the Model to be used (default: Llama-4-Maverick-17B-128E-Instruct-FP8); .env must be updated with api key and api base path
• -b, --bug: Use bug report from ./prompt/__bug__.md to debug code
• -t, --tree: Use directory tree as context

• Send a simple message: python llama4_terminal_client.py -m "Hello, world!"
• Use code context: python llama4_terminal_client.py -c -m "Explain this code"
• Include a local image: python llama4_terminal_client.py -i /path/to/image.png -m "Describe this image"
• Use previous response as context: python llama4_terminal_client.py -r -m "Follow up on previous response"
• Debug code: python llama4_terminal_client.py -c -b -m "Fix this bug"

• Check the .env file for correct configuration
• Verify that the required libraries are installed
• Ensure that the wl-paste and xclip commands are available for clipboard functionality (if using)
• Check the console output for error messages