Claude Code integration #5
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- Extract specific events/characters from chapter content - Use conversational, vivid language with emotional hooks - Fix prephrase receiving book metadata instead of chapter content - Add book context parameter for better AI responses - Refactor with shared _fetch_from_claude() helper - Move imports to module level
…ore sections - Split chapters into intelligent paragraph groups (min 500 chars, max 10 groups) - Generate concise, intriguing 2-4 word teasers that hook readers - Display teasers before paragraph groups (not after) as reading prompts - Optimize with precompiled regex patterns for performance - Include book context in LLM prompts for better teaser quality - Parallel LLM requests using asyncio.gather() for fast generation - Add cache key hashing to avoid duplicate requests
- Create book.py that combines EPUB processing and web server in one command - Extract cover images (ITEM_COVER type) in addition to regular images - Add catch-all image endpoint for SVG xlink:href loose filenames - Auto-select available port starting from 8123 - Remove library view for single-book reader experience - Include alice.epub as default book for easy testing
…ries and conclusions
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uses existing Claude Code CLI to provide AI summaries
