v0.4.2
Highlights
This release introduces the Rust worker sidecar for queued inference and expands document extraction and image-text model support.
Features
- Added MinerU2.5-Pro-2604-1.2B for document OCR and Marqo fashionSigLIP for image-text embeddings. Docling now also accepts image inputs.
- Chat completions accept
min_tokensandchat_template_kwargs; model profiles can supply default sampling settings. - Added an FP8 serving profile for Qwen3.6-27B on RTX PRO 6000 and increased Qwen3-0.6B's configured context window to 4,096 tokens.
- Workers reconcile configuration changes after missed updates or reconnects.
Bug fixes
- Kept generation dispatch separate from embedding, scoring, and extraction queues.
- Fixed
dense_dimhandling in CLIP and PyTorch embedding adapters and CUDA-cache cleanup in visual-document adapters.
Breaking changes
- Cluster inference is now queue-only. Queue workers require the Rust worker sidecar and NATS JetStream; the Helm chart enables the sidecar by default. Custom deployments must include the sidecar alongside the Python inference worker.