https://dailypypy.org/tags/structured-output/ Recent content in Structured Output on 每日拍拍 Hugo -- gohugo.io zh-tw © 2026 每日拍拍 Wed, 16 Sep 2026 10:57:00 +0800 155076163427069952 154825760438254592 https://dailypypy.org/learn/mlx-vlm-batch-structured-output/ Wed, 16 Sep 2026 10:57:00 +0800 https://dailypypy.org/learn/mlx-vlm-batch-structured-output/ <!--- 1440x768 prompt: masterpiece, best quality, highres, clean anime illustration, japanese anime style, soft shading, flat color design, 1girl, black hair, green eyes, white off-shoulder shirt, black short skirt, from below low angle, full body, pointing upward with one hand while the other hand rests at her side, determined cheerful expression, looking at viewer, seafoam background, subtle floating translucent blank image tiles and rounded schema cards without symbols, logos, markings, or text, neat composition, detailed eyes, cute and smart vibe, minimal background, polished illustration, no text negative prompt: worst quality, bad eye, bad hand, extra limbs, manga, multiple views, monochrome, text, signature dedup note: Planned 2026-09-16 topic `mlx-vlm-batch-structured-output` passed a strict 163-post inventory and current-source scan. ../mlx-vlm-image-chat/ covers interactive single/multi-image questions, preprocessing, chat templates, and Vision Feature Cache; ../mlx-lm-batch-inference/ covers text-only JSONL prompts, sampling grids, and local evaluation. This focused follow-up instead builds an image-manifest pipeline around the MLX-VLM server, multimodal JSON Schema constrained output, Pydantic validation, quarantine records, resumable JSONL output, and batch-level quality checks. It does not repeat the older installation, chat, multi-image comparison, cache, or text-only parameter-grid tutorials. source check: Reviewed against the current official MLX-VLM README, usage guide, and PyPI metadata on 2026-09-16. PyPI lists mlx-vlm 0.7.1 with Python >=3.10. The official server documents multimodal `json_schema` structured outputs, continuous batching, and OpenAI-compatible chat/responses endpoints; structured outputs are not currently compatible with speculative decoding. ---> <p> <figure> <img class="my-0 rounded-md" loading="lazy" alt="featured" src="./featured.png" /> </figure> </p>