The OpenAI-compatible vision client and the bounded prompt/output handling for the analysis worker (no DB, fully unit-tested): - analysis::prompt: terse system prompt carrying the JSON schema, the OCR kind / content-warning vocabularies, and the output-size caps. - analysis::vision: VisionClient (downscale via the new `image` dep → base64 data-URL → chat/completions with an image_url part), plus pure parse_chat_completion (fence/prose-tolerant) and sanitize (drop empty OCR, truncate, clamp tags to 10 via the shared page-tag normalizer, filter unknown warnings). - config::AnalysisConfig extended with endpoint/model/api_key/timeouts/ max_tokens/max_image_dim/max_image_bytes + from_env. - Deps: add `image` (jpeg/png/webp), reqwest `json` feature. Expose api::page_tags::normalize_tag as pub(crate) for reuse. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
12 lines
528 B
Rust
12 lines
528 B
Rust
//! AI content-analysis worker: calls a local OpenAI-compatible vision
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//! model on each page image and turns the result into OCR text, global
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//! auto-tags, a scene description, and NSFW content warnings.
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//!
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//! * [`prompt`] — the system prompt + the bounded output vocabulary and
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//! sanitization helpers (pure, unit-tested).
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//! * [`vision`] — the HTTP client: downscale → request → parse → sanitize.
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//! * [`daemon`] — the job-leasing worker loop (added in the worker phase).
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pub mod prompt;
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pub mod vision;
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