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AbstractCore v2.13.35

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@github-actions github-actions released this 07 Jun 16:14
· 3 commits to main since this release
v2.13.35
ed850b1

Added

  • Image upscaling routes: added /v1/images/upscale, /{provider}/v1/images/upscale, and async /v1/vision/jobs/images/upscale with polling/progress support.
  • Generated image upscaling: generate(..., output={"task": "image_upscale"}) routes source images through the AbstractVision upscaler capability.
  • HTTP server CLI: added abstractcore serve as the first-class command for starting the OpenAI-compatible AbstractCore server. Existing module and uvicorn entrypoints remain available for compatibility.
  • MLX-Gen reference-image edits: /v1/images/edits and async /v1/vision/jobs/images/edits now accept repeated multipart reference_images files and forward them to AbstractVision backends for composition/style-reference image edits.
  • Image progress events: async image generation/edit jobs now capture AbstractVision on_progress(event) payloads in progress.last_event, matching the existing video job surface.
  • Wan A14B second guidance: video generation routes, async video jobs, and generated-video output specs now accept typed guidance_2 for dual-transformer video models.

Removed

  • Capability default CLI compatibility flags: removed the top-level abstractcore --set-capability-default / --clear-capability-default form. Use abstractcore config set-default, abstractcore config defaults, and abstractcore config clear-default instead.

Changed

  • Permissive PDF media path: moved the default PDFProcessor and media/aggregate install profiles from PyMuPDF-family packages to the BSD-licensed pypdf baseline. PyMuPDF4LLM and pymupdf-layout remain available only through the explicit pdf-pymupdf-commercial opt-in extra.
  • Vision plugin floor: raised AbstractVision integration requirements to abstractvision>=0.3.22 so Core installs pick up MLX-Gen 0.18.13, SeedVR2 image upscaling, canonical q8/q4 upscaler packages, and the current upscaler progress event surface.
  • Vision job progress semantics: normalized server job payloads now preserve AbstractVision step_progress and frame_progress; progress follows the backend event's canonical progress value, which is denoise-step progress for MLX-Gen.
  • Generated media examples: updated Core docs and OpenAPI examples to use task-specific MLX-Gen A14B text-to-video and image-to-video model ids.

Fixed

  • PDF capability truth: the default pypdf processor no longer advertises image extraction support, and page-level text extraction errors are reported as warnings instead of aborting the whole document.
  • Vision upscaler discovery: local vision catalogs now surface MLX-Gen models that only support image_upscale, including canonical AbstractFramework/seedvr2-{3b,7b}-{8bit,4bit} packages.
  • Generated image callback forwarding: server-local generated image/edit dispatch now forwards top-level progress callbacks and backend-specific parameters through the same AbstractVision extra path used for video generation.
  • Reference media routing: unified Python image-edit generation forwards media items with reference, style, or context roles as AbstractVision reference_images.
  • Upscale Swagger examples: multipart OpenAPI examples now cover direct, provider-scoped, and async SeedVR2 image upscaling routes.
  • Python 3.9 configuration import: ConfigurationManager constructor annotations remain importable on Python 3.9.
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