pynamer/memory-bank/projectbrief.md

Project Brief: PyNamer

Goal: Enhance the pynamer tool to improve efficiency and potentially reduce costs by normalizing image sizes before submitting them to a Large Language Model (LLM) for filename generation.

Core Functionality:

• Takes one or more image file paths as input.
• Reads configuration from config.yaml.
• Resizes images exceeding a configured maximum dimension while maintaining aspect ratio.
• Encodes the (potentially resized) image to base64.
• Sends the image data and configured prompts to an LLM (via litellm).
• Receives a descriptive filename suggestion from the LLM.
• Cleans the suggested filename (snake_case, alphanumeric).
• Renames the original image file with the new filename.
• Supports dry-run mode.

Enhancement:

• Added image resizing using the Pillow library before encoding and sending to the LLM.
• Introduced configuration options (resize_max_dimension, resize_format) in config.yaml.