Release v1.2.2

Added

• --slim flag and --pixi-path for lightweight image builds
• --transcode-max-output-frames to limit clip frame count
• OpenAI-compatible endpoint for video embedding
• Pre-populate timestamps on Video during download
• Multistage Docker builds to reduce container image size
• Docker buildx cache for faster image builds
• Set vLLM performance_mode for improved inference throughput
• Upgrade vLLM to 0.17.1
• Upgrade Ray to 2.54.0
• Upgrade cuML to 26.0.2
• Upgrade cosmos-xenna to 0.2.1
• Upgrade Python to 3.12.13

Fixed

• Remove pycuda dependency, use PyNvVideoCodec built-in context
• Purge filtered_clips in MetadataWriterStage cleanup
• Video.get_major_size() should include filtered clips
• Type mismatch for qwen-gpus-per-worker
• Remove syntax warnings in stages
• Pin importlib-metadata to avoid version conflicts
• Output built Docker images to the local Docker image store
• Remove vllm from local extra to eliminate litellm from lock file
• Update type annotations for AV pipeline

Removed

• ffmpeg_gpu decode mode

Changed

• Replace FFmpeg source build with conda-forge package
• Remove support for Phi-4 captioning to keep a
  security floor of pillow>=12.1.1 (GHSA-cfh3-3jmp-rvhc)

Documentation

• Add batch processing guide for large video sets
• Add slim image design doc