# SeeImage Tool - Image Compression Feature ## Overview The SeeImage tool has been enhanced with automatic image compression to reduce the size of images before sending them to the LLM. This helps to: 1. Reduce token usage and costs 2. Improve performance by sending smaller payloads 3. Handle larger images that might otherwise exceed size limits ## Implementation Details ### Compression Algorithm The compression feature includes: 1. **Automatic Resizing**: Images larger than 1920x1080 pixels are automatically resized while maintaining aspect ratio 2. **Format Optimization**: - PNG images are compressed with optimization level 6 - JPEG images are compressed with quality level 85 - Other formats are converted to JPEG for better compression - GIF images are preserved to maintain animation 3. **Color Mode Handling**: RGBA images are converted to RGB with a white background for JPEG compatibility ### Configuration The following constants control the compression behavior: ```python MAX_IMAGE_SIZE = 10 * 1024 * 1024 # 10MB max for original image MAX_COMPRESSED_SIZE = 5 * 1024 * 1024 # 5MB max for compressed image DEFAULT_MAX_WIDTH = 1920 # Maximum width in pixels DEFAULT_MAX_HEIGHT = 1080 # Maximum height in pixels DEFAULT_JPEG_QUALITY = 85 # JPEG compression quality (0-100) DEFAULT_PNG_COMPRESS_LEVEL = 6 # PNG compression level (0-9) ``` ### Usage The tool usage remains the same - no changes are required in how you call the tool: ```xml ``` The compression happens automatically behind the scenes. ### Output The tool now provides feedback about the compression: ``` Successfully loaded and compressed the image 'screenshots/large_image.png' (reduced from 2048.5KB to 156.3KB). ``` ### Error Handling - If compression fails, the original image is used - If the compressed image is still too large (>5MB), an error is returned - All compression errors are logged but don't prevent the tool from functioning ## Testing A test script is provided at `backend/test_image_compression.py` to verify the compression functionality: ```bash cd backend python test_image_compression.py ``` This script tests: 1. Large PNG compression 2. JPEG compression 3. Small image handling (no resizing) 4. Image validity after compression ## Dependencies The feature requires the Pillow library, which has been added to: - `requirements.txt` - `pyproject.toml` Install with: ```bash pip install Pillow>=10.0.0 ``` ## Performance Impact - Compression adds minimal latency (typically <100ms for most images) - Memory usage is temporary and released after compression - Significant reduction in network payload size (typically 50-90% reduction) ## Future Enhancements Potential improvements could include: - Configurable compression settings per project - Support for WebP format output - Progressive JPEG encoding - Smart cropping for very large images - Caching of compressed images