AbstractRuntime v0.4.24

Added

• Runtime now surfaces AbstractCore/AbstractVision video generation through the existing generated-media boundary:
  • LLM_CALL output selectors for {"modality":"video","task":"text_to_video"} and {"modality":"video","task":"image_to_video"}
  • remote Core Server routing for /v1/videos/generations and /v1/videos/edits
  • durable run-facade helpers generate_video(...) and image_to_video(...)
  • VisualFlow node lowering for generate_video / text_to_video and image_to_video
• Provider progress callbacks are converted into JSON-safe abstract.progress ledger events during LLM_CALL execution without persisting Python callback objects.

Changed

• Minimum optional AbstractCore dependency floor is now abstractcore>=2.13.29 (and matching multimodal, mcp-worker, and hardware-profile cascade extras), aligning Runtime with Core video endpoints, video residency tasks, and AbstractVision 0.3.16 progress-capable generation.
• Runtime docs and AI-readable llms.txt / llms-full.txt now document text-to-video, image-to-video, and generated-media progress events.