Fruth 0.1.7

Fruth 0.1.7

Fruth 0.1.7 strengthens how a response continues, preserves its accepted results,
and verifies later work. It also expands local image generation and embeddings
across supported backends.

• Durable continuation: preserve accepted sibling results through cancellation
  and retry, prevent stale worker publication from undoing acknowledged controls,
  and retain exact repair identities and evidence through completion.
• Local images: discover compatible MLX-VLM image checkpoints through the
  installed loader, expose supported diffusion-step controls, validate saved
  images, and release idle image memory after requests. Image inspections can
  use a compatible alternate vision instance after a transient failure.
• Embeddings: support backend-neutral text embeddings and qualified image or
  audio inputs, with explicit capability checks and malformed-vector rejection.
• Storage and workflows: configure independent archive and Self-Attack
  locations; preserve learning and external stores during full local archival.
• Hardening: retain deterministic regressions from bounded Hypothesis studies,
  including control/worker overlap and selected persistence/recovery faults.
  The portable test runner isolates ordinary checks from opt-in research campaigns.

Local models, AFM and PCC Cloud each have complete 170-case live conformance
coverage on their recorded source snapshots. The current report also documents
matching 380-case offline gates and five refreshed reference workflows, including
saved-file dependencies, audio, images and a portable website bundle. PCC coverage
combines two bounded windows and a successful audio retry.

Full changelog ·
Validation evidence and scope ·
Reference workflows

Fruth remains experimental. Conformance validates the exercised runtime
contracts; it does not guarantee model answer quality or prove general recovery
and progress properties. See the packaged release scope and known limitations.