{"type":"thinking_level_change","id":"a026e156","parentId":null,"timestamp":"2026-04-03T01:34:40.031Z","thinkingLevel":"medium"}
{"type":"model_change","id":"66484b92","parentId":"a026e156","timestamp":"2026-04-03T01:34:40.033Z","provider":"anthropic","modelId":"claude-opus-4-6"}
{"type":"custom_message","customType":"gsd-auto","content":"You are executing GSD auto-mode.\n\n## Working Directory\n\nYour working directory is `/home/aux/projects/content-to-kb-automator`. All file reads, writes, and shell commands MUST operate relative to this directory. Do NOT `cd` to any other directory.\n\nAll relevant context has been preloaded below — start working immediately without re-reading these files.\n\n## Requirements Advanced\n\nNone.\n\n## Requirements Validated\n\nNone.\n\n## Requirements Invalidated or Re-scoped\n\nNone.\n\n## UNIT: Research Slice S05 (\"Frontend — Nested Rendering, TOC, Citations\") — Milestone M014\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M014/M014-ROADMAP.md`\n\n# M014: \n\n## Vision\nRestructure technique pages to be broader (per-creator+category across videos), deeper (H2/H3 nesting with TOC), multi-source (compose new video content into existing pages), with inline citations linking prose claims to source moments, admin multi-source management, and section-level search with deep linking.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Synthesis Prompt v5 — Nested Sections + Citations | high | — | ✅ | Run test harness with new prompt → output has list-of-objects body_sections with H2/H3 nesting, citation markers on key claims, broader page scope. |\n| S02 | Composition Prompt + Test Harness Compose Mode | high | S01 | ✅ | Run test harness --compose mode with existing page + new moments → merged output with deduplication, new sections, updated citations. |\n| S03 | Data Model + Migration | low | — | ✅ | Alembic migration runs clean. API response includes body_sections_format and source_videos fields. |\n| S04 | Pipeline Compose-or-Create Logic | high | S01, S02, S03 | ✅ | Process two COPYCATT videos. Second video's moments composed into existing page. technique_page_videos has both video IDs. |\n| S05 | Frontend — Nested Rendering, TOC, Citations | medium | S03 | ⬜ | Format-2 page renders with TOC, nested sections, clickable citations. Format-1 pages unchanged. |\n| S06 | Admin UI — Multi-Source Pipeline Management | medium | S03, S04 | ⬜ | Admin view for multi-source page shows source dropdown, composition history, per-video chunking inspection. |\n| S07 | Search — Per-Section Embeddings + Deep Linking | medium | S04, S05 | ⬜ | Search 'LFO grain position' → section-level result → click → navigates to page#section and scrolls. |\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions (compact)\nFields: id | when | scope | decision | choice | rationale | revisable | made_by\n\nD024 | M014/S01 | architecture | Content model for sections with subsections | Sections with subsections use empty-string content field; substance lives in subsections | Avoids duplication between section-level content and subsection content. The section heading serves as H2 container; all prose lives in subsection content fields. Sections without subsections use the section content field directly. | Yes | agent\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (7 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic loads a dedicated page with creator-grouped techniques and breadcrumbs.\n**Validation:** Hierarchy renders, filtering works, sub-topics have dedicated pages at /topics/:category/:subtopic with backend filtering and creator grouping. Verified: M010/S01.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n## R016 — Card Hover Animations & Staggered Entrance\n**Status:** validated\n**Description:** All technique/content cards animate on hover (scale + shadow transition). Card grids use staggered fade-in-up entrance animations on page load.\n**Validation:** Cards visually respond to hover with smooth 200ms transition. Grid cards appear sequentially on page load.\n**Primary Owner:** M011/S01\n\n## R017 — Featured Technique Visual Redesign\n**Status:** validated\n**Description:** Featured Technique section on homepage has a visually distinct treatment (gradient border, glow, or full-bleed) that differentiates it from ordinary cards.\n**Validation:** Featured technique is visually prominent and clearly distinct from regular technique cards.\n**Primary Owner:** M011/S01\n\n## R018 — Random Technique Discovery\n**Status:** validated\n**Description:** A \"Random Technique\" button exists that navigates to a randomly selected technique page.\n**Validation:** Clicking the button loads a different technique each time.\n**Primary Owner:** M011/S01\n\n## R019 — Topics Page Default-Collapsed\n**Status:** validated\n**Description:** Topics page loads with all categories collapsed, showing only category cards. Clicking a category expands its sub-topics with a smooth slide animation.\n**Validation:** Page loads collapsed. Click expands with animation. Click again collapses.\n**Primary Owner:** M011/S02\n\n## R020 — Global Search in Navigation\n**Status:** validated\n**Description:** A compact search input in the navigation bar is available on all pages except the homepage. Cmd+K (or /) keyboard shortcut focuses it from any page.\n**Validation:** Search bar visible in nav on Topics, Creators, Technique, About pages. Cmd+K focuses it.\n**Primary Owner:** M011/S03\n\n## R021 — Mobile Hamburger Menu\n**Status:** validated\n**Description:** Navigation uses a hamburger menu on viewports below 768px with generous touch targets (44×44px minimum).\n**Validation:** Mobile viewport shows hamburger icon. Tapping reveals nav items. Touch targets meet minimum size.\n**Primary Owner:** M011/S03\n\n## R022 — Heading Hierarchy Fix\n**Status:** validated\n**Description:** Every page has exactly one H1 element. Heading levels are sequential (no skips from H1 to H3).\n**Validation:** DOM inspection confirms single H1 per page and sequential heading levels.\n**Primary Owner:** M011/S04\n\n## R023 — Skip-to-Content Link\n**Status:** validated\n**Description:** A visually hidden skip link is the first focusable element on every page, visible on keyboard focus.\n**Validation:** Tab from page load shows \"Skip to content\" link. Clicking it jumps to main content area.\n**Primary Owner:** M011/S04\n\n## R024 — Text Contrast AA Compliance\n**Status:** validated\n**Description:** All text meets WCAG AA contrast ratios (4.5:1 for normal text, 3:1 for large text) against the dark background.\n**Validation:** Secondary text color passes 4.5:1 contrast check against page background.\n**Primary Owner:** M011/S04\n\n## R025 — Page-Specific Document Titles\n**Status:** validated\n**Description:** Each route sets a descriptive document title (e.g., \"Bass — Sound Design — Chrysopedia\", \"COPYCATT — Chrysopedia\").\n**Validation:** Browser tab shows distinct title per page. Navigating between pages updates the title.\n**Primary Owner:** M011/S04\n\n## R026 — Creator Stats Topic-Colored Pills\n**Status:** validated\n**Description:** Creator detail page stats line rendered as topic-colored pill badges instead of run-on text.\n**Validation:** Stats show as visually distinct colored pills grouped by topic category.\n**Primary Owner:** M011/S02\n\n## R027 — Tag Overflow Limit on Cards\n**Status:** validated\n**Description:** Technique cards show a maximum of 4 tags, with a \"+N more\" indicator for additional tags.\n**Validation:** Cards with >4 tags show exactly 4 plus a \"+N more\" badge.\n**Primary Owner:** M011/S02\n\n## R028 — Empty Subtopic Handling\n**Status:** validated\n**Description:** Sub-topics with 0 techniques either hidden by default or display a \"Coming soon\" badge.\n**Validation:** Empty subtopics are visually distinguished or hidden. No dead-end clicks.\n**Primary Owner:** M011/S02\n\n## Denied / Out of Scope\n\n## R029 — Beginner Learning Paths\n**Status:** out-of-scope\n**Description:** Curated beginner learning paths with skill-level tags and \"New to Production?\" section.\n**Validation:** n/a\n**Notes:** Denied — audience knows what they're looking for. Assessment F01.\n\n## R030 — YouTube Deep Links on Key Moments\n**Status:** out-of-scope\n**Description:** Key moment timestamps link to source YouTube videos at the correct time.\n**Validation:** n/a\n**Notes:** Denied — no video URLs in data model / don't want to link out. Assessment F02.\n\n## R031 — Hide Admin Dropdown\n**Status:** out-of-scope\n**Description:** Admin dropdown hidden from public visitors behind auth or flag.\n**Validation:** n/a\n**Notes:** Denied — fine as-is. Assessment F03.\n\n## R032 — CTA Label Changes\n**Status:** out-of-scope\n**Description:** Change \"Start Exploring\" to more descriptive CTA text.\n**Validation:** n/a\n**Notes:** Denied — skipped. Assessment F15.\n\n---\n\n[...truncated 6 sections]\n\n### Dependency Slice Summaries\n\nPay particular attention to **Forward Intelligence** sections — they contain hard-won knowledge about what's fragile, what assumptions changed, and what to watch out for.\n\n#### S03 Summary\nSource: `.gsd/milestones/M014/slices/S03/S03-SUMMARY.md`\n\n---\nid: S03\nparent: M014\nmilestone: M014\nprovides:\n  - body_sections_format column on technique_pages (default 'v1')\n  - technique_page_videos association table\n  - SourceVideoSummary schema\n  - source_videos field on TechniquePageDetail API response\n  - body_sections accepts list | dict | None\nrequires:\n  []\naffects:\n  - S04\n  - S05\n  - S06\nkey_files:\n  - alembic/versions/012_multi_source_format.py\n  - backend/models.py\n  - backend/schemas.py\n  - backend/routers/techniques.py\nkey_decisions:\n  - Used TIMESTAMP (not WITH TIME ZONE) for added_at to stay consistent with existing schema convention\npatterns_established:\n  - Association table pattern with dual CASCADE FKs and unique constraint for many-to-many with metadata (added_at)\n  - body_sections_format discriminator column for handling multiple content formats in the same table\nobservability_surfaces:\n  - none\ndrill_down_paths:\n  - .gsd/milestones/M014/slices/S03/tasks/T01-SUMMARY.md\n  - .gsd/milestones/M014/slices/S03/tasks/T02-SUMMARY.md\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-04-03T01:20:27.897Z\nblocker_discovered: false\n---\n\n# S03: Data Model + Migration\n\n**Added body_sections_format column, technique_page_videos association table, and wired both into the API response for multi-source technique pages.**\n\n## What Happened\n\nThis slice laid the data foundation for M014's multi-source, nested-section technique pages. Two tasks delivered three changes:\n\n**T01 — Schema + Migration:** Created Alembic migration 012 adding `body_sections_format` (VARCHAR(20), NOT NULL, default 'v1') to technique_pages and a new `technique_page_videos` association table with dual CASCADE foreign keys and a unique constraint on (technique_page_id, source_video_id). Updated SQLAlchemy models with the new `TechniquePageVideo` class and `body_sections_format` column on `TechniquePage`. Widened the Pydantic `body_sections` type from `dict | None` to `list | dict | None` to support both v1 (dict) and v2 (list-of-objects) formats. Added `SourceVideoSummary` schema and `source_videos` field to `TechniquePageDetail`.\n\n**T02 — API Wiring:** Updated `get_technique()` to eagerly load `source_video_links` → `source_video` via chained `selectinload`. Builds the `source_videos` list from association table rows. Ran migration on ub01 and verified the API returns both new fields with correct defaults (`body_sections_format: \"v1\"`, `source_videos: []`).\n\nAll existing technique pages continue to work unchanged — the v1 default ensures backward compatibility.\n\n## Verification\n\nAll slice-level checks passed:\n1. `from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format')` → OK\n2. `from schemas import SourceVideoSummary, TechniquePageDetail` → OK\n3. `alembic upgrade head` on ub01 Docker → clean (migration 012 applied)\n4. `curl` to live API for existing technique → `body_sections_format: \"v1\"` and `source_videos: []` present in response\n\n## New Requirements Surfaced\n\nNone.\n\n## Deviations\n\nNone.\n\n## Known Limitations\n\nNone.\n\n## Follow-ups\n\nNone.\n\n## Files Created/Modified\n\n- `alembic/versions/012_multi_source_format.py` — New migration: body_sections_format column + technique_page_videos table\n- `backend/models.py` — Added TechniquePageVideo model, body_sections_format column, source_video_links relationship\n- `backend/schemas.py` — Widened body_sections type, added SourceVideoSummary, added source_videos to TechniquePageDetail\n- `backend/routers/techniques.py` — Eager-load source_video_links, build source_videos list in technique detail response\n\n## Your Role in the Pipeline\n\nYou are the scout. After you finish, a **planner agent** reads your output in a fresh context with no memory of your exploration. It uses your findings to decompose this slice into executable tasks — deciding what files change, what order to build things, how to verify the work. Then **executor agents** build each task in isolated context windows.\n\nWrite for the planner, not for a human. The planner needs:\n- **What files exist and what they do** — so it can scope tasks to specific files\n- **Where the natural seams are** — where work divides into independent units\n- **What to build or prove first** — what's riskiest, what unblocks everything else\n- **How to verify the result** — what commands, tests, or checks confirm the slice works\n\nIf the research doc is vague, the planner will waste its context re-exploring code you already read. If it's precise, the planner can decompose immediately.\n\n## Calibrate Depth\n\nRead the slice title, the roadmap excerpt, and any milestone research above. Ask: does this slice involve unfamiliar technology, risky integration, novel architecture, or ambiguous requirements? Or is it straightforward application of known patterns to known code?\n\n- **Deep research** — new technology, unfamiliar APIs, risky integration, multiple viable approaches, or ambiguous scope. Explore broadly, look up docs, check libraries, investigate constraints. Write all template sections. This is the default when you're genuinely uncertain.\n- **Targeted research** — known technology but new to this codebase, or moderately complex integration. Explore the relevant code, check one or two libraries, identify constraints. Omit Don't Hand-Roll and Sources if nothing applies.\n- **Light research** — well-understood work using established patterns already in the codebase (wiring up existing APIs, adding standard UI components, CRUD operations, configuration changes). Read the relevant files to confirm the pattern, note any constraints, write Summary + Recommendation + Implementation Landscape. Skip the rest. A light research doc can be 15-20 lines. Don't manufacture pitfalls or risks for work that doesn't have them.\n\nAn honest \"this is straightforward, here's the pattern to follow\" is more valuable than invented complexity.\n\n## Steps\n\nResearch what this slice needs. Narrate key findings and surprises as you go — what exists, what's missing, what constrains the approach.\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements this slice owns or supports. Research should target these requirements — surfacing risks, unknowns, and implementation constraints that could affect whether the slice actually delivers them.\n1.  Reference specific rules from loaded skills in your findings where they inform the implementation approach.\n2. **Skill Discovery (suggest):**\n   Identify the key technologies, frameworks, and services this work depends on (e.g. Stripe, Clerk, Supabase, JUCE, SwiftUI).\n   For each, check if a professional agent skill already exists:\n   - First check `<available_skills>` in your system prompt — a skill may already be installed.\n   - For technologies without an installed skill, run: `npx skills find \"<technology>\"`\n   - Only consider skills that are **directly relevant** to core technologies — not tangentially related.\n   - Evaluate results by install count and relevance to the actual work.\n   - Note promising skills in your research output with their install commands, but do NOT install them.\n   - The user will decide which to install.\n3. Explore relevant code for this slice's scope. For targeted exploration, use `rg`, `find`, and reads. For broad or unfamiliar subsystems, use `scout` to map the relevant area first.\n4. Use `resolve_library` / `get_library_docs` for unfamiliar libraries — skip this for libraries already used in the codebase\n5. **Web search budget:** You have a limited budget of web searches (max ~15 per session). Use them strategically — prefer `resolve_library` / `get_library_docs` for library documentation. Do NOT repeat the same or similar queries. If a search didn't find what you need, rephrase once or move on. Target 3-5 total web searches for a typical research unit.\n6. Use the **Research** output template from the inlined context above — include only sections that have real content. The template is already inlined above; do NOT attempt to read any template file from disk (there is no `templates/SLICE-RESEARCH.md` — the correct template is already present in this prompt).\n7. Call `gsd_summary_save` with `milestone_id: M014`, `slice_id: S05`, `artifact_type: \"RESEARCH\"`, and the full research markdown as `content` — the tool computes the file path and persists to both DB and disk.\n\nThe slice directory already exists at `.gsd/milestones/M014/slices/S05/`. Do NOT mkdir.\n\n**You MUST call `gsd_summary_save` with the research content before finishing.**\n\nWhen done, say: \"Slice S05 researched.\"","display":false,"id":"ad65f58b","parentId":"66484b92","timestamp":"2026-04-03T01:34:40.036Z"}
{"type":"message","id":"4d298415","parentId":"ad65f58b","timestamp":"2026-04-03T01:34:48.001Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me research what's needed for S05: Frontend — Nested Rendering, TOC, Citations. This is about rendering format-v2 technique pages with table of contents, nested sections (H2/H3), and clickable citations, while keeping format-v1 pages unchanged.\n\nLet me explore the existing frontend code to understand the current technique page rendering.","thinkingSignature":"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"},{"type":"text","text":"Starting with the frontend technique page code and the v2 data format."},{"type":"toolCall","id":"toolu_012DCg4Hfh9ptQMEnSnVsPBx","name":"bash","arguments":{"command":"find frontend/src -type f -name '*.tsx' -o -name '*.ts' | head -40"}},{"type":"toolCall","id":"toolu_01ReBNSdd2mqDsWZwgjrrBVE","name":"bash","arguments":{"command":"rg -l \"body_sections\" frontend/src/ 2>/dev/null"}},{"type":"toolCall","id":"toolu_018MFcLmmnYUvh251WT2DwPp","name":"bash","arguments":{"command":"rg -l \"TechniquePage\\|technique.*detail\\|technique.*page\" frontend/src/ --type ts --type tsx 2>/dev/null || rg -l \"TechniquePage\\|technique.*detail\\|technique.*page\" frontend/src/ 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":340,"cacheRead":59865,"cacheWrite":6347,"totalTokens":66555,"cost":{"input":0.000015000000000000002,"output":0.0085,"cacheRead":0.029932499999999997,"cacheWrite":0.03966875,"total":0.07811625}},"stopReason":"toolUse","timestamp":1775180080034}}
{"type":"message","id":"fdc8ce01","parentId":"4d298415","timestamp":"2026-04-03T01:34:48.025Z","message":{"role":"toolResult","toolCallId":"toolu_012DCg4Hfh9ptQMEnSnVsPBx","toolName":"bash","content":[{"type":"text","text":"frontend/src/hooks/useSortPreference.ts\nfrontend/src/hooks/useDocumentTitle.ts\nfrontend/src/pages/AdminPipeline.tsx\nfrontend/src/pages/CreatorDetail.tsx\nfrontend/src/pages/CreatorsBrowse.tsx\nfrontend/src/pages/AdminReports.tsx\nfrontend/src/pages/Home.tsx\nfrontend/src/pages/TechniquePage.tsx\nfrontend/src/pages/TopicsBrowse.tsx\nfrontend/src/pages/About.tsx\nfrontend/src/pages/SubTopicPage.tsx\nfrontend/src/pages/SearchResults.tsx\nfrontend/src/vite-env.d.ts\nfrontend/src/utils/catSlug.ts\nfrontend/src/App.tsx\nfrontend/src/api/public-client.ts\nfrontend/src/components/CategoryIcons.tsx\nfrontend/src/components/TagList.tsx\nfrontend/src/components/SearchAutocomplete.tsx\nfrontend/src/components/CreatorAvatar.tsx\nfrontend/src/components/SortDropdown.tsx\nfrontend/src/components/AppFooter.tsx\nfrontend/src/components/CopyLinkButton.tsx\nfrontend/src/components/AdminDropdown.tsx\nfrontend/src/components/ReportIssueModal.tsx\nfrontend/src/main.tsx\n"}],"isError":false,"timestamp":1775180088025}}
{"type":"message","id":"fa72e9e4","parentId":"fdc8ce01","timestamp":"2026-04-03T01:34:48.031Z","message":{"role":"toolResult","toolCallId":"toolu_01ReBNSdd2mqDsWZwgjrrBVE","toolName":"bash","content":[{"type":"text","text":"frontend/src/api/public-client.ts\nfrontend/src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1775180088031}}
{"type":"message","id":"a3060bf9","parentId":"fa72e9e4","timestamp":"2026-04-03T01:34:48.042Z","message":{"role":"toolResult","toolCallId":"toolu_018MFcLmmnYUvh251WT2DwPp","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180088040}}
{"type":"message","id":"b948396c","parentId":"a3060bf9","timestamp":"2026-04-03T01:34:51.906Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01DhTQ3vihDtjf6MsQwUbLYq","name":"read","arguments":{"path":"frontend/src/pages/TechniquePage.tsx"}},{"type":"toolCall","id":"toolu_01R2AqfUnhu3YxHvGzgxSkT6","name":"bash","arguments":{"command":"rg \"body_sections\" frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":114,"cacheRead":66212,"cacheWrite":686,"totalTokens":67013,"cost":{"input":0.000005,"output":0.00285,"cacheRead":0.033106,"cacheWrite":0.0042875000000000005,"total":0.04024849999999999}},"stopReason":"toolUse","timestamp":1775180088040}}
{"type":"message","id":"a6a3cfbd","parentId":"b948396c","timestamp":"2026-04-03T01:34:51.916Z","message":{"role":"toolResult","toolCallId":"toolu_01DhTQ3vihDtjf6MsQwUbLYq","toolName":"read","content":[{"type":"text","text":"/**\n * Technique page detail view with version switching.\n *\n * Fetches a single technique by slug. When historical versions exist,\n * shows a version switcher that lets admins view previous snapshots\n * with pipeline metadata (prompt hashes, model config).\n */\n\nimport { useEffect, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n  fetchTechnique,\n  fetchTechniqueVersions,\n  fetchTechniqueVersion,\n  type TechniquePageDetail as TechniqueDetail,\n  type TechniquePageVersionSummary,\n  type TechniquePageVersionDetail,\n} from \"../api/public-client\";\nimport ReportIssueModal from \"../components/ReportIssueModal\";\nimport CopyLinkButton from \"../components/CopyLinkButton\";\nimport CreatorAvatar from \"../components/CreatorAvatar\";\nimport { useDocumentTitle } from \"../hooks/useDocumentTitle\";\n\nfunction formatTime(seconds: number): string {\n  const m = Math.floor(seconds / 60);\n  const s = Math.floor(seconds % 60);\n  return `${m}:${s.toString().padStart(2, \"0\")}`;\n}\n\nfunction formatDate(iso: string): string {\n  return new Date(iso).toLocaleDateString(\"en-US\", {\n    year: \"numeric\",\n    month: \"short\",\n    day: \"numeric\",\n    hour: \"2-digit\",\n    minute: \"2-digit\",\n  });\n}\n\n/** Extract the displayable fields from a version snapshot, matching TechniqueDetail shape. */\nfunction snapshotToOverlay(snapshot: Record<string, unknown>) {\n  return {\n    title: typeof snapshot.title === \"string\" ? snapshot.title : undefined,\n    summary: typeof snapshot.summary === \"string\" ? snapshot.summary : undefined,\n    topic_category:\n      typeof snapshot.topic_category === \"string\"\n        ? snapshot.topic_category\n        : undefined,\n    topic_tags: Array.isArray(snapshot.topic_tags)\n      ? (snapshot.topic_tags as string[])\n      : undefined,\n    body_sections:\n      typeof snapshot.body_sections === \"object\" && snapshot.body_sections !== null\n        ? (snapshot.body_sections as Record<string, unknown>)\n        : undefined,\n    signal_chains: Array.isArray(snapshot.signal_chains)\n      ? (snapshot.signal_chains as unknown[])\n      : undefined,\n    plugins: Array.isArray(snapshot.plugins)\n      ? (snapshot.plugins as string[])\n      : undefined,\n    source_quality:\n      typeof snapshot.source_quality === \"string\"\n        ? snapshot.source_quality\n        : undefined,\n  };\n}\n\nexport default function TechniquePage() {\n  const { slug } = useParams<{ slug: string }>();\n  const [technique, setTechnique] = useState<TechniqueDetail | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [notFound, setNotFound] = useState(false);\n  const [error, setError] = useState<string | null>(null);\n  const [showReport, setShowReport] = useState(false);\n\n  useDocumentTitle(technique ? `${technique.title} — Chrysopedia` : \"Chrysopedia\");\n\n  // Version switching\n  const [versions, setVersions] = useState<TechniquePageVersionSummary[]>([]);\n  const [selectedVersion, setSelectedVersion] = useState<string>(\"current\");\n  const [versionDetail, setVersionDetail] =\n    useState<TechniquePageVersionDetail | null>(null);\n  const [versionLoading, setVersionLoading] = useState(false);\n\n  // Load technique + version list\n  useEffect(() => {\n    if (!slug) return;\n\n    let cancelled = false;\n    setLoading(true);\n    setNotFound(false);\n    setError(null);\n    setSelectedVersion(\"current\");\n    setVersionDetail(null);\n    setVersions([]);\n\n    void (async () => {\n      try {\n        const data = await fetchTechnique(slug);\n        if (!cancelled) {\n          setTechnique(data);\n          // Load versions if any exist\n          if (data.version_count > 0) {\n            try {\n              const vRes = await fetchTechniqueVersions(slug);\n              if (!cancelled) setVersions(vRes.items);\n            } catch {\n              // Non-critical — version list fails silently\n            }\n          }\n        }\n      } catch (err) {\n        if (!cancelled) {\n          if (err instanceof Error && err.message.includes(\"404\")) {\n            setNotFound(true);\n          } else {\n            setError(\n              err instanceof Error ? err.message : \"Failed to load technique\",\n            );\n          }\n        }\n      } finally {\n        if (!cancelled) setLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, [slug]);\n\n  // Load version detail when selection changes\n  useEffect(() => {\n    if (!slug || selectedVersion === \"current\") {\n      setVersionDetail(null);\n      return;\n    }\n\n    let cancelled = false;\n    setVersionLoading(true);\n\n    void (async () => {\n      try {\n        const detail = await fetchTechniqueVersion(\n          slug,\n          Number(selectedVersion),\n        );\n        if (!cancelled) setVersionDetail(detail);\n      } catch {\n        if (!cancelled) setVersionDetail(null);\n      } finally {\n        if (!cancelled) setVersionLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, [slug, selectedVersion]);\n\n  // Scroll to key moment if URL has a #km- hash fragment\n  useEffect(() => {\n    if (!technique) return;\n    const hash = window.location.hash;\n    if (hash.startsWith(\"#km-\")) {\n      const el = document.getElementById(hash.slice(1));\n      if (el) {\n        el.scrollIntoView({ behavior: \"smooth\", block: \"start\" });\n      }\n    }\n  }, [technique]);\n\n  if (loading) {\n    return <div className=\"loading\">Loading technique…</div>;\n  }\n\n  if (notFound) {\n    return (\n      <div className=\"technique-404\">\n        <h2>Technique Not Found</h2>\n        <p>The technique &ldquo;{slug}&rdquo; doesn&rsquo;t exist.</p>\n        <Link to=\"/\" className=\"btn\">\n          Back to Home\n        </Link>\n      </div>\n    );\n  }\n\n  if (error || !technique) {\n    return (\n      <div className=\"loading error-text\">\n        Error: {error ?? \"Unknown error\"}\n      </div>\n    );\n  }\n\n  // Overlay snapshot fields when viewing a historical version\n  const isHistorical = selectedVersion !== \"current\" && versionDetail != null;\n  const overlay = isHistorical\n    ? snapshotToOverlay(versionDetail.content_snapshot)\n    : null;\n\n  const displayTitle = overlay?.title ?? technique.title;\n  const displaySummary = overlay?.summary ?? technique.summary;\n  const displayCategory = overlay?.topic_category ?? technique.topic_category;\n  const displayTags = overlay?.topic_tags ?? technique.topic_tags;\n  const displaySections = overlay?.body_sections ?? technique.body_sections;\n  const displayChains = overlay?.signal_chains ?? technique.signal_chains;\n  const displayPlugins = overlay?.plugins ?? technique.plugins;\n  const displayQuality = overlay?.source_quality ?? technique.source_quality;\n\n  return (\n    <article className=\"technique-page\">\n      {/* Back link */}\n      <Link to=\"/\" className=\"back-link\">\n        ← Back\n      </Link>\n\n      {/* Historical version banner */}\n      {isHistorical && (\n        <div className=\"technique-banner technique-banner--version\">\n          📋 Viewing version {versionDetail.version_number} from{\" \"}\n          {formatDate(versionDetail.created_at)}\n          <button\n            className=\"btn btn--small btn--primary\"\n            style={{ marginLeft: \"1rem\" }}\n            onClick={() => setSelectedVersion(\"current\")}\n          >\n            Back to current\n          </button>\n        </div>\n      )}\n\n      {/* Unstructured content warning */}\n      {displayQuality === \"unstructured\" && (\n        <div className=\"technique-banner technique-banner--amber\">\n          ⚠ This technique was sourced from a livestream and may have less\n          structured content.\n        </div>\n      )}\n\n      <div className=\"technique-columns\">\n        <div className=\"technique-columns__main\">\n        <div className=\"technique-header__title-row\">\n            <h1 className=\"technique-header__title\">{displayTitle} <CopyLinkButton /></h1>\n            {displayCategory && (\n              <span className={\"badge badge--category badge--cat-\" + (displayCategory?.toLowerCase().replace(/\\s+/g, \"-\") ?? \"\")}>\n                {displayCategory}\n              </span>\n            )}\n          </div>\n        {technique.creator_info && (\n          <div className=\"technique-header__creator-block\">\n            <Link to={`/creators/${technique.creator_info.slug}`} className=\"technique-header__creator-link\">\n              <CreatorAvatar creatorId={String(technique.creator_info.slug)} name={technique.creator_info.name} size={22} />\n              {technique.creator_info.name}\n            </Link>\n            {technique.creator_info.genres && technique.creator_info.genres.length > 0 && (\n              <span className=\"technique-header__creator-genres\">\n                {technique.creator_info.genres.map((g) => (\n                  <span key={g} className=\"pill pill--genre-small\">{g}</span>\n                ))}\n              </span>\n            )}\n          </div>\n        )}\n\n\n        {/* Meta stats line */}\n        <div className=\"technique-header__stats\">\n          {(() => {\n            const sourceCount = new Set(\n              technique.key_moments\n                .map((km) => km.video_filename)\n                .filter(Boolean),\n            ).size;\n            const momentCount = technique.key_moments.length;\n            const updated = new Date(technique.updated_at).toLocaleDateString(\n              \"en-US\",\n              { year: \"numeric\", month: \"short\", day: \"numeric\" },\n            );\n            const parts = [\n              `Compiled from ${sourceCount} source${sourceCount !== 1 ? \"s\" : \"\"}`,\n              `${momentCount} key moment${momentCount !== 1 ? \"s\" : \"\"}`,\n            ];\n            if (technique.version_count > 0) {\n              parts.push(\n                `${technique.version_count} version${technique.version_count !== 1 ? \"s\" : \"\"}`,\n              );\n            }\n            parts.push(`Last updated ${updated}`);\n            return parts.join(\" · \");\n          })()}\n        </div>\n\n        {/* Version switcher */}\n        <div className=\"technique-header__actions\">\n          {versions.length > 0 && (\n            <div className=\"version-switcher\">\n              <label className=\"version-switcher__label\">Version:</label>\n              <select\n                className=\"version-switcher__select\"\n                value={selectedVersion}\n                onChange={(e) => setSelectedVersion(e.target.value)}\n                disabled={versionLoading}\n              >\n                <option value=\"current\">Current (live)</option>\n                {versions.map((v) => (\n                  <option key={v.version_number} value={String(v.version_number)}>\n                    v{v.version_number} — {formatDate(v.created_at)}\n                  </option>\n                ))}\n              </select>\n              {versionLoading && (\n                <span className=\"version-switcher__loading\">Loading…</span>\n              )}\n            </div>\n          )}\n\n        </div>\n\n      {/* Pipeline metadata for historical versions */}\n      {isHistorical && versionDetail.pipeline_metadata && (\n        <div className=\"version-metadata\">\n          <h4 className=\"version-metadata__title\">Pipeline metadata (v{versionDetail.version_number})</h4>\n          <div className=\"version-metadata__grid\">\n            {\"model\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Model</span>\n                <span className=\"version-metadata__value\">\n                  {String(versionDetail.pipeline_metadata.model)}\n                </span>\n              </div>\n            )}\n            {\"captured_at\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Captured</span>\n                <span className=\"version-metadata__value\">\n                  {formatDate(String(versionDetail.pipeline_metadata.captured_at))}\n                </span>\n              </div>\n            )}\n            {typeof versionDetail.pipeline_metadata.prompt_hashes === \"object\" &&\n              versionDetail.pipeline_metadata.prompt_hashes !== null && (\n                <div className=\"version-metadata__item version-metadata__item--wide\">\n                  <span className=\"version-metadata__key\">Prompt hashes</span>\n                  <div className=\"version-metadata__hashes\">\n                    {Object.entries(\n                      versionDetail.pipeline_metadata.prompt_hashes as Record<\n                        string,\n                        string\n                      >,\n                    ).map(([file, hash]) => (\n                      <div key={file} className=\"version-metadata__hash\">\n                        <span className=\"version-metadata__hash-file\">\n                          {file.replace(/^.*\\//, \"\")}\n                        </span>\n                        <code className=\"version-metadata__hash-value\">\n                          {hash.slice(0, 12)}…\n                        </code>\n                      </div>\n                    ))}\n                  </div>\n                </div>\n              )}\n          </div>\n        </div>\n      )}\n\n      {/* Report modal */}\n      {showReport && (\n        <ReportIssueModal\n          contentType=\"technique_page\"\n          contentId={technique.id}\n          contentTitle={technique.title}\n          onClose={() => setShowReport(false)}\n        />\n      )}\n\n\n          {/* Tags + plugin pills — scoped to left column */}\n          {((displayTags && displayTags.length > 0) || (displayPlugins && displayPlugins.length > 0)) && (\n            <div className=\"technique-main__tags\">\n              {displayTags && displayTags.map((tag) => (\n                <span key={tag} className=\"pill\">\n                  {tag}\n                </span>\n              ))}\n              {displayPlugins && displayPlugins.length > 0 && displayPlugins.map((plugin) => (\n                <span key={`plugin-${plugin}`} className=\"pill pill--plugin\">\n                  {plugin}\n                </span>\n              ))}\n            </div>\n          )}\n\n          {/* Summary */}\n      {displaySummary && (\n        <section className=\"technique-summary\">\n          <p>{displaySummary}</p>\n        </section>\n      )}\n\n      {/* Study guide prose — body_sections */}\n      {displaySections &&\n        Object.keys(displaySections).length > 0 && (\n          <section className=\"technique-prose\">\n            {Object.entries(displaySections).map(\n              ([sectionTitle, content]: [string, unknown]) => (\n                <div key={sectionTitle} className=\"technique-prose__section\">\n                  <h2>{sectionTitle}</h2>\n                  {typeof content === \"string\" ? (\n                    <p>{content as string}</p>\n                  ) : typeof content === \"object\" && content !== null ? (\n                    <pre className=\"technique-prose__json\">\n                      {JSON.stringify(content, null, 2)}\n                    </pre>\n                  ) : (\n                    <p>{String(content as string)}</p>\n                  )}\n                </div>\n              ),\n            )}\n          </section>\n        )}\n\n        </div>\n        <div className=\"technique-columns__sidebar\">\n          {/* Key moments (always from live data — not versioned) */}\n      {technique.key_moments.length > 0 && (\n        <section className=\"technique-moments\">\n          <h2>Key Moments</h2>\n          <ol className=\"technique-moments__list\">\n            {technique.key_moments.map((km) => (\n              <li key={km.id} id={`km-${km.id}`} className=\"technique-moment\">\n                <h3 className=\"technique-moment__title\">{km.title}</h3>\n                <div className=\"technique-moment__meta\">\n                  {km.video_filename && (\n                    <span className=\"technique-moment__source\">\n                      {km.video_filename}\n                    </span>\n                  )}\n                  <span className=\"technique-moment__time\">\n                    {formatTime(km.start_time)} – {formatTime(km.end_time)}\n                  </span>\n                  <span className=\"badge badge--content-type\">\n                    {km.content_type}\n                  </span>\n                </div>\n                <p className=\"technique-moment__summary\">{km.summary}</p>\n              </li>\n            ))}\n          </ol>\n        </section>\n      )}\n\n      {/* Signal chains */}\n      {displayChains &&\n        displayChains.length > 0 && (\n          <section className=\"technique-chains\">\n            <h2>Signal Chains</h2>\n            {displayChains.map((chain, i) => {\n              const chainObj = chain as Record<string, unknown>;\n              const chainName =\n                typeof chainObj[\"name\"] === \"string\"\n                  ? chainObj[\"name\"]\n                  : `Chain ${i + 1}`;\n              const steps = Array.isArray(chainObj[\"steps\"])\n                ? (chainObj[\"steps\"] as string[])\n                : [];\n              return (\n                <div key={i} className=\"technique-chain\">\n                  <h3>{chainName}</h3>\n                  {steps.length > 0 && (\n                    <div className=\"technique-chain__flow\">\n                      {steps.map((step, j) => (\n                        <span key={j}>\n                          {j > 0 && (\n                            <span className=\"technique-chain__arrow\">\n                              {\" → \"}\n                            </span>\n                          )}\n                          <span className=\"technique-chain__step\">\n                            {String(step)}\n                          </span>\n                        </span>\n                      ))}\n                    </div>\n                  )}\n                </div>\n              );\n            })}\n          </section>\n        )}\n\n      {/* Related techniques (always from live data) */}\n      {technique.related_links.length > 0 && (\n        <section className=\"technique-related\">\n          <h2>Related Techniques</h2>\n          <div className=\"technique-related__grid\">\n            {technique.related_links.map((link) => (\n              <div key={link.target_slug} className=\"related-card\">\n                <Link to={`/techniques/${link.target_slug}`} className=\"related-card__title\">\n                  {link.target_title}\n                </Link>\n                {link.creator_name && (\n                  <span className=\"related-card__creator\">{link.creator_name}</span>\n                )}\n                {link.topic_category && (\n                  <span className=\"related-card__badge\">{link.topic_category}</span>\n                )}\n                {link.reason && (\n                  <p className=\"related-card__reason\">{link.reason}</p>\n                )}\n              </div>\n            ))}\n          </div>\n        </section>\n      )}\n        </div>\n      </div>\n\n      {/* Footer actions */}\n      <div className=\"technique-footer\">\n        <button\n          className=\"btn btn--ghost btn--small\"\n          onClick={() => setShowReport(true)}\n        >\n          ⚑ Report issue with this page\n        </button>\n        {technique.key_moments.length > 0 && technique.key_moments[0]?.source_video_id && (\n          <Link\n            to={`/admin/pipeline?video=${technique.key_moments[0].source_video_id}`}\n            className=\"btn btn--ghost btn--small technique-footer__inspect\"\n            title=\"View pipeline job for this article\"\n          >\n            <svg viewBox=\"0 0 24 24\" width=\"14\" height=\"14\" fill=\"none\" stroke=\"currentColor\" strokeWidth=\"2\" strokeLinecap=\"round\" strokeLinejoin=\"round\">\n              <circle cx=\"11\" cy=\"11\" r=\"7\" />\n              <line x1=\"16.5\" y1=\"16.5\" x2=\"21\" y2=\"21\" />\n              <line x1=\"11\" y1=\"8\" x2=\"11\" y2=\"14\" />\n              <line x1=\"8\" y1=\"11\" x2=\"14\" y2=\"11\" />\n            </svg>\n            Inspect pipeline\n          </Link>\n        )}\n      </div>\n    </article>\n  );\n}\n"}],"isError":false,"timestamp":1775180091914}}
{"type":"message","id":"97dd256c","parentId":"a6a3cfbd","timestamp":"2026-04-03T01:34:51.920Z","message":{"role":"toolResult","toolCallId":"toolu_01R2AqfUnhu3YxHvGzgxSkT6","toolName":"bash","content":[{"type":"text","text":"  body_sections: Record<string, unknown> | null;\n"}],"isError":false,"timestamp":1775180091918}}
{"type":"message","id":"f64ab0f1","parentId":"97dd256c","timestamp":"2026-04-03T01:34:59.046Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the API types and the v2 format structure from the synthesis prompt work."},{"type":"toolCall","id":"toolu_01VYTUbuc4SJKmAh5vxrchep","name":"bash","arguments":{"command":"rg \"body_sections\" frontend/src/api/public-client.ts -B2 -A2"}},{"type":"toolCall","id":"toolu_01CcyBMUyEpaeC18Zs7Jr49Q","name":"bash","arguments":{"command":"rg \"body_sections_format\\|v2\\|format.*v\" backend/schemas.py -B1 -A1"}},{"type":"toolCall","id":"toolu_01M6XgPQZ2WWoUhJ2qYAHCXa","name":"bash","arguments":{"command":"rg -l \"body_sections\\|citations\\|subsection\" backend/pipeline/ 2>/dev/null || rg -l \"body_sections\\|citations\\|subsection\" backend/ 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":246,"cacheRead":66898,"cacheWrite":5504,"totalTokens":72649,"cost":{"input":0.000005,"output":0.00615,"cacheRead":0.033449,"cacheWrite":0.0344,"total":0.074004}},"stopReason":"toolUse","timestamp":1775180091919}}
{"type":"message","id":"2d2f9cb8","parentId":"f64ab0f1","timestamp":"2026-04-03T01:34:59.067Z","message":{"role":"toolResult","toolCallId":"toolu_01VYTUbuc4SJKmAh5vxrchep","toolName":"bash","content":[{"type":"text","text":"  topic_tags: string[] | null;\n  summary: string | null;\n  body_sections: Record<string, unknown> | null;\n  signal_chains: unknown[] | null;\n  plugins: string[] | null;\n"}],"isError":false,"timestamp":1775180099067}}
{"type":"message","id":"9c7ef1c8","parentId":"2d2f9cb8","timestamp":"2026-04-03T01:34:59.071Z","message":{"role":"toolResult","toolCallId":"toolu_01CcyBMUyEpaeC18Zs7Jr49Q","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180099071}}
{"type":"message","id":"25dfff9a","parentId":"9c7ef1c8","timestamp":"2026-04-03T01:34:59.086Z","message":{"role":"toolResult","toolCallId":"toolu_01M6XgPQZ2WWoUhJ2qYAHCXa","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180099084}}
{"type":"message","id":"d2e6292a","parentId":"25dfff9a","timestamp":"2026-04-03T01:35:03.113Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_012RwtySThhcqgcVK8cHZRsi","name":"bash","arguments":{"command":"rg \"body_sections_format\\|source_videos\\|SourceVideoSummary\" backend/schemas.py -B1 -A3"}},{"type":"toolCall","id":"toolu_01W5evaLWipxUbU5XXZF29hZ","name":"bash","arguments":{"command":"rg \"body_sections\" backend/schemas.py -B1 -A3"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":138,"cacheRead":72402,"cacheWrite":407,"totalTokens":72948,"cost":{"input":0.000005,"output":0.0034500000000000004,"cacheRead":0.036201,"cacheWrite":0.00254375,"total":0.042199749999999994}},"stopReason":"toolUse","timestamp":1775180099085}}
{"type":"message","id":"5e60e320","parentId":"d2e6292a","timestamp":"2026-04-03T01:35:03.128Z","message":{"role":"toolResult","toolCallId":"toolu_012RwtySThhcqgcVK8cHZRsi","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180103127}}
{"type":"message","id":"189965f0","parentId":"5e60e320","timestamp":"2026-04-03T01:35:03.134Z","message":{"role":"toolResult","toolCallId":"toolu_01W5evaLWipxUbU5XXZF29hZ","toolName":"bash","content":[{"type":"text","text":"    summary: str | None = None\n    body_sections: list | dict | None = None\n    body_sections_format: str = \"v1\"\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\n"}],"isError":false,"timestamp":1775180103132}}
{"type":"message","id":"7006ae21","parentId":"189965f0","timestamp":"2026-04-03T01:35:08.209Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01UDLS43nQ83YwRBhJq7CMbV","name":"bash","arguments":{"command":"rg \"SourceVideoSummary\\|source_videos\\|body_sections_format\" backend/schemas.py -B1 -A5"}},{"type":"toolCall","id":"toolu_017JvbAXiqudJMgjcAagbDPU","name":"bash","arguments":{"command":"rg -l \"synthesis_v5\\|v5\\|nested.*section\\|citation\" backend/ --include='*.py' 2>/dev/null || find backend -name '*v5*' -o -name '*synthesis*' -o -name '*citation*' 2>/dev/null | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":191,"cacheRead":72809,"cacheWrite":269,"totalTokens":73270,"cost":{"input":0.000005,"output":0.004775000000000001,"cacheRead":0.0364045,"cacheWrite":0.00168125,"total":0.04286575}},"stopReason":"toolUse","timestamp":1775180103133}}
{"type":"message","id":"780a9671","parentId":"7006ae21","timestamp":"2026-04-03T01:35:08.225Z","message":{"role":"toolResult","toolCallId":"toolu_01UDLS43nQ83YwRBhJq7CMbV","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180108225}}
{"type":"message","id":"a4a6b57c","parentId":"780a9671","timestamp":"2026-04-03T01:35:08.236Z","message":{"role":"toolResult","toolCallId":"toolu_017JvbAXiqudJMgjcAagbDPU","toolName":"bash","content":[{"type":"text","text":"backend/pipeline/test_citation_utils.py\nbackend/pipeline/citation_utils.py\nbackend/pipeline/__pycache__/test_citation_utils.cpython-312-pytest-8.4.2.pyc\nbackend/pipeline/__pycache__/citation_utils.cpython-312.pyc\n"}],"isError":false,"timestamp":1775180108234}}
{"type":"message","id":"9ca5d7ee","parentId":"a4a6b57c","timestamp":"2026-04-03T01:35:12.400Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01CXmZyRf9jqRi7erMo7kHCr","name":"bash","arguments":{"command":"rg \"SourceVideoSummary\" backend/ -r -l 2>/dev/null; rg \"source_videos\" backend/schemas.py -B1 -A5"}},{"type":"toolCall","id":"toolu_0127H9DSm6ndBaUy1wL1t9Au","name":"read","arguments":{"path":"backend/pipeline/citation_utils.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":135,"cacheRead":73078,"cacheWrite":337,"totalTokens":73551,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.036538999999999995,"cacheWrite":0.00210625,"total":0.04202524999999999}},"stopReason":"toolUse","timestamp":1775180108234}}
{"type":"message","id":"1b7b1bb3","parentId":"9ca5d7ee","timestamp":"2026-04-03T01:35:12.423Z","message":{"role":"toolResult","toolCallId":"toolu_01CXmZyRf9jqRi7erMo7kHCr","toolName":"bash","content":[{"type":"text","text":"backend/schemas.py:class -l(BaseModel):\nbackend/schemas.py:    source_videos: list[-l] = Field(default_factory=list)\nbackend/routers/techniques.py:    -l,\nbackend/routers/techniques.py:        -l(\n    version_count: int = 0\n    source_videos: list[SourceVideoSummary] = Field(default_factory=list)\n\n\n# ── Technique Page Versions ──────────────────────────────────────────────────\n\nclass TechniquePageVersionSummary(BaseModel):\n"}],"isError":false,"timestamp":1775180112423}}
{"type":"message","id":"95172bb9","parentId":"1b7b1bb3","timestamp":"2026-04-03T01:35:12.426Z","message":{"role":"toolResult","toolCallId":"toolu_0127H9DSm6ndBaUy1wL1t9Au","toolName":"read","content":[{"type":"text","text":"\"\"\"Citation extraction and validation utilities for synthesized technique pages.\n\nUsed by stage 5 synthesis and the test harness to verify that [N] citation\nmarkers in body sections reference valid source moments.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport re\n\nfrom pipeline.schemas import BodySection\n\n# Matches [N] or [N,M] or [N,M,P] style citation markers where N,M,P are integers.\n_CITATION_RE = re.compile(r\"\\[(\\d+(?:,\\s*\\d+)*)\\]\")\n\n\ndef extract_citations(text: str) -> list[int]:\n    \"\"\"Extract all citation indices from ``[N]`` and ``[N,M,...]`` markers in *text*.\n\n    Returns a sorted list of unique integer indices.\n    \"\"\"\n    indices: set[int] = set()\n    for match in _CITATION_RE.finditer(text):\n        for part in match.group(1).split(\",\"):\n            indices.add(int(part.strip()))\n    return sorted(indices)\n\n\ndef validate_citations(\n    sections: list[BodySection],\n    moment_count: int,\n) -> dict:\n    \"\"\"Validate citation markers across all *sections* against *moment_count* source moments.\n\n    Moments are expected to be referenced as 0-based indices ``[0]`` through\n    ``[moment_count - 1]``.\n\n    Returns a dict with:\n        valid (bool): True when every cited index is in range and every moment is cited.\n        total_citations (int): Count of unique cited indices.\n        invalid_indices (list[int]): Cited indices that are out of range.\n        uncited_moments (list[int]): In-range moment indices that are never cited.\n        coverage_pct (float): Percentage of moments that are cited (0.0–100.0).\n    \"\"\"\n    all_indices: set[int] = set()\n\n    for section in sections:\n        all_indices.update(extract_citations(section.content))\n        for sub in section.subsections:\n            all_indices.update(extract_citations(sub.content))\n\n    valid_range = set(range(moment_count))\n    invalid_indices = sorted(all_indices - valid_range)\n    cited_in_range = all_indices & valid_range\n    uncited_moments = sorted(valid_range - cited_in_range)\n    coverage_pct = (len(cited_in_range) / moment_count * 100.0) if moment_count > 0 else 0.0\n\n    return {\n        \"valid\": len(invalid_indices) == 0 and len(uncited_moments) == 0,\n        \"total_citations\": len(cited_in_range),\n        \"invalid_indices\": invalid_indices,\n        \"uncited_moments\": uncited_moments,\n        \"coverage_pct\": round(coverage_pct, 1),\n    }\n"}],"isError":false,"timestamp":1775180112423}}
{"type":"message","id":"f3803f46","parentId":"95172bb9","timestamp":"2026-04-03T01:35:17.054Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the v2 format schema — the `BodySection` Pydantic model:"},{"type":"toolCall","id":"toolu_01KpBv1eStqoabXpKNtvxiEg","name":"bash","arguments":{"command":"rg \"BodySection\\|class.*Section\" backend/pipeline/schemas.py -B1 -A10 2>/dev/null || find backend -name 'schemas.py' -path '*/pipeline/*' -exec cat {} \\;"}},{"type":"toolCall","id":"toolu_017uCKDTv9dgFKgsQPpmCHKW","name":"bash","arguments":{"command":"rg \"BodySection\" backend/ -rl"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":176,"cacheRead":73415,"cacheWrite":1028,"totalTokens":74620,"cost":{"input":0.000005,"output":0.0044,"cacheRead":0.0367075,"cacheWrite":0.006425,"total":0.047537499999999996}},"stopReason":"toolUse","timestamp":1775180112424}}
{"type":"message","id":"f207e14d","parentId":"f3803f46","timestamp":"2026-04-03T01:35:17.079Z","message":{"role":"toolResult","toolCallId":"toolu_01KpBv1eStqoabXpKNtvxiEg","toolName":"bash","content":[{"type":"text","text":"\"\"\"Pydantic schemas for pipeline stage inputs and outputs.\n\nStage 2 — Segmentation: groups transcript segments by topic.\nStage 3 — Extraction: extracts key moments from segments.\nStage 4 — Classification: classifies moments by category/tags.\nStage 5 — Synthesis: generates technique pages from classified moments.\n\"\"\"\n\nfrom __future__ import annotations\n\nfrom pydantic import BaseModel, Field\n\n\n# ── Stage 2: Segmentation ───────────────────────────────────────────────────\n\nclass TopicSegment(BaseModel):\n    \"\"\"A contiguous group of transcript segments sharing a topic.\"\"\"\n\n    start_index: int = Field(description=\"First transcript segment index in this group\")\n    end_index: int = Field(description=\"Last transcript segment index in this group (inclusive)\")\n    topic_label: str = Field(description=\"Short label describing the topic\")\n    summary: str = Field(description=\"Brief summary of what is discussed\")\n\n\nclass SegmentationResult(BaseModel):\n    \"\"\"Full output of stage 2 (segmentation).\"\"\"\n\n    segments: list[TopicSegment]\n\n\n# ── Stage 3: Extraction ─────────────────────────────────────────────────────\n\nclass ExtractedMoment(BaseModel):\n    \"\"\"A single key moment extracted from a topic segment group.\"\"\"\n\n    title: str = Field(description=\"Concise title for the moment\")\n    summary: str = Field(description=\"Detailed summary of the technique/concept\")\n    start_time: float = Field(description=\"Start time in seconds\")\n    end_time: float = Field(description=\"End time in seconds\")\n    content_type: str = Field(description=\"One of: technique, settings, reasoning, workflow\")\n    plugins: list[str] = Field(default_factory=list, description=\"Plugins/tools mentioned\")\n    raw_transcript: str = Field(default=\"\", description=\"Raw transcript text for this moment\")\n\n\nclass ExtractionResult(BaseModel):\n    \"\"\"Full output of stage 3 (extraction).\"\"\"\n\n    moments: list[ExtractedMoment]\n\n\n# ── Stage 4: Classification ─────────────────────────────────────────────────\n\nclass ClassifiedMoment(BaseModel):\n    \"\"\"Classification metadata for a single extracted moment.\"\"\"\n\n    moment_index: int = Field(description=\"Index into ExtractionResult.moments\")\n    topic_category: str = Field(description=\"High-level topic category\")\n    topic_tags: list[str] = Field(default_factory=list, description=\"Specific topic tags\")\n    content_type_override: str | None = Field(\n        default=None,\n        description=\"Override for content_type if classification disagrees with extraction\",\n    )\n\n\nclass ClassificationResult(BaseModel):\n    \"\"\"Full output of stage 4 (classification).\"\"\"\n\n    classifications: list[ClassifiedMoment]\n\n\n# ── Stage 5: Synthesis ───────────────────────────────────────────────────────\n\nclass BodySubSection(BaseModel):\n    \"\"\"An H3-level subsection within a body section.\"\"\"\n\n    heading: str = Field(description=\"H3 subsection heading\")\n    content: str = Field(description=\"Subsection body text (may contain [N] citation markers)\")\n\n\nclass BodySection(BaseModel):\n    \"\"\"An H2-level section of a technique page body.\"\"\"\n\n    heading: str = Field(description=\"H2 section heading\")\n    content: str = Field(description=\"Section body text (may contain [N] citation markers)\")\n    subsections: list[BodySubSection] = Field(\n        default_factory=list,\n        description=\"Optional H3-level subsections\",\n    )\n\n\nclass SynthesizedPage(BaseModel):\n    \"\"\"A technique page synthesized from classified moments.\"\"\"\n\n    title: str = Field(description=\"Page title\")\n    slug: str = Field(description=\"URL-safe slug\")\n    topic_category: str = Field(description=\"Primary topic category\")\n    topic_tags: list[str] = Field(default_factory=list, description=\"Associated tags\")\n    summary: str = Field(description=\"Page summary / overview paragraph\")\n    body_sections: list[BodySection] = Field(\n        default_factory=list,\n        description=\"Structured body content as H2 sections with optional H3 subsections\",\n    )\n    body_sections_format: str = Field(\n        default=\"v2\",\n        description=\"Schema version for body_sections ('v2' = list[BodySection])\",\n    )\n    signal_chains: list[dict] = Field(\n        default_factory=list,\n        description=\"Signal chain descriptions (for audio/music production contexts)\",\n    )\n    plugins: list[str] = Field(default_factory=list, description=\"Plugins/tools referenced\")\n    source_quality: str = Field(\n        default=\"mixed\",\n        description=\"One of: structured, mixed, unstructured\",\n    )\n    moment_indices: list[int] = Field(\n        default_factory=list,\n        description=\"Indices of source moments (from the input list) that this page covers\",\n    )\n\n\nclass SynthesisResult(BaseModel):\n    \"\"\"Full output of stage 5 (synthesis).\"\"\"\n\n    pages: list[SynthesizedPage]\n"}],"isError":false,"timestamp":1775180117079}}
{"type":"message","id":"b4a15971","parentId":"f207e14d","timestamp":"2026-04-03T01:35:17.085Z","message":{"role":"toolResult","toolCallId":"toolu_017uCKDTv9dgFKgsQPpmCHKW","toolName":"bash","content":[{"type":"text","text":"backend/pipeline/schemas.py:class l(BaseModel):\nbackend/pipeline/schemas.py:    body_sections: list[l] = Field(\nbackend/pipeline/schemas.py:        description=\"Schema version for body_sections ('v2' = list[l])\",\nbackend/pipeline/test_harness_compose.py:from pipeline.schemas import l, BodySubSection, SynthesizedPage\nbackend/pipeline/test_harness_compose.py:    sections: list[l] | None = None,\nbackend/pipeline/test_harness_compose.py:            l(\nbackend/pipeline/test_harness_compose.py:            l(\nbackend/pipeline/test_harness_compose.py:            l(\nbackend/pipeline/test_harness_compose.py:            l(\nbackend/pipeline/test_harness_compose.py:            l(heading=\"Flat Section\", content=\"Content [0].\"),\nbackend/pipeline/test_citation_utils.py:from pipeline.schemas import l, BodySubSection\nbackend/pipeline/test_citation_utils.py:def _make_sections(texts: list[str], sub_texts: list[list[str]] | None = None) -> list[l]:\nbackend/pipeline/test_citation_utils.py:    \"\"\"Helper to build l lists for testing.\"\"\"\nbackend/pipeline/test_citation_utils.py:        sections.append(l(heading=f\"Section {i}\", content=text, subsections=subs))\nbackend/pipeline/citation_utils.py:from pipeline.schemas import l\nbackend/pipeline/citation_utils.py:    sections: list[l],\nbackend/pipeline/test_compose_pipeline.py:class TestlsFormatAndTracking:\nbackend/pipeline/test_harness_v2_format.py:with the list[l] structure (v2) instead of the old dict format.\nbackend/pipeline/test_harness_v2_format.py:from pipeline.schemas import l, BodySubSection, SynthesizedPage, SynthesisResult\nbackend/pipeline/test_harness_v2_format.py:    body_sections: list[l],\nbackend/pipeline/test_harness_v2_format.py:def _count_words_v2(sections: list[l]) -> int:\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Intro\", content=\"one two three\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Details\", content=\"four five\"),\nbackend/pipeline/test_harness_v2_format.py:            l(\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Empty\", content=\"\"),\nbackend/pipeline/test_harness_v2_format.py:            l(\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Another\", content=\"eight nine\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"A\", content=\"text\", subsections=[\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"B\", content=\"more text\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"C\", content=\"even more\", subsections=[\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Intro\", content=\"First point [0]. Second point [1].\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Details\", content=\"More on [0] and [2].\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Intro\", content=\"Only cites [0].\"),\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"Bad\", content=\"Cites [0] and [99].\"),\nbackend/pipeline/test_harness_v2_format.py:            l(\nbackend/pipeline/test_harness_v2_format.py:            l(heading=\"X\", content=\"Both sources agree [0,1].\"),\nbackend/pipeline/test_harness_v2_format.py:            l(\n"}],"isError":false,"timestamp":1775180117083}}
{"type":"message","id":"ce8f78be","parentId":"b4a15971","timestamp":"2026-04-03T01:35:22.125Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — I now understand the v2 format. Let me check the API response shape and the existing CSS:"},{"type":"toolCall","id":"toolu_011MV2w1VokwuA7WJQ2Sc7TG","name":"bash","arguments":{"command":"rg \"body_sections_format\\|source_videos\" frontend/src/ -r"}},{"type":"toolCall","id":"toolu_01QK6P938phAcLxZy7uvqM4c","name":"bash","arguments":{"command":"rg \"technique-prose\\|technique-toc\\|table.*content\" frontend/src/ -l 2>/dev/null; find frontend/src -name '*.css' | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":174,"cacheRead":74443,"cacheWrite":2489,"totalTokens":77107,"cost":{"input":0.000005,"output":0.004350000000000001,"cacheRead":0.0372215,"cacheWrite":0.01555625,"total":0.057132749999999996}},"stopReason":"toolUse","timestamp":1775180117084}}
{"type":"message","id":"89ebab50","parentId":"ce8f78be","timestamp":"2026-04-03T01:35:22.140Z","message":{"role":"toolResult","toolCallId":"toolu_011MV2w1VokwuA7WJQ2Sc7TG","toolName":"bash","content":[{"type":"text","text":"rg: missing value for flag -r: missing argument for option '-r'\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1775180122140}}
{"type":"message","id":"7e1e3511","parentId":"89ebab50","timestamp":"2026-04-03T01:35:22.155Z","message":{"role":"toolResult","toolCallId":"toolu_01QK6P938phAcLxZy7uvqM4c","toolName":"bash","content":[{"type":"text","text":"frontend/src/App.css\n"}],"isError":false,"timestamp":1775180122153}}
{"type":"message","id":"f248585f","parentId":"7e1e3511","timestamp":"2026-04-03T01:35:25.484Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01ViaEptHXgXcRdr1v6xUTvs","name":"bash","arguments":{"command":"rg \"body_sections_format\\|source_videos\" frontend/src/ -rl"}},{"type":"toolCall","id":"toolu_01Ef3Zkc5V94NjDBnxQeErYM","name":"bash","arguments":{"command":"rg \"technique-prose\" frontend/src/App.css -A3"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":123,"cacheRead":76932,"cacheWrite":268,"totalTokens":77324,"cost":{"input":0.000005,"output":0.003075,"cacheRead":0.038466,"cacheWrite":0.001675,"total":0.043221}},"stopReason":"toolUse","timestamp":1775180122154}}
{"type":"message","id":"7a5e9332","parentId":"f248585f","timestamp":"2026-04-03T01:35:25.502Z","message":{"role":"toolResult","toolCallId":"toolu_01ViaEptHXgXcRdr1v6xUTvs","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180125502}}
{"type":"message","id":"dfe3f3f6","parentId":"7a5e9332","timestamp":"2026-04-03T01:35:25.508Z","message":{"role":"toolResult","toolCallId":"toolu_01Ef3Zkc5V94NjDBnxQeErYM","toolName":"bash","content":[{"type":"text","text":".technique-prose {\n  margin-bottom: 2rem;\n}\n\n.technique-prose__section {\n  margin-bottom: 1.5rem;\n}\n\n.technique-prose__section h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n--\n.technique-prose__section p {\n  font-size: 0.9375rem;\n  color: var(--color-text-primary);\n  line-height: 1.7;\n--\n.technique-prose__json {\n  background: var(--color-bg-transcript);\n  padding: 0.75rem;\n  border-radius: 0.375rem;\n"}],"isError":false,"timestamp":1775180125505}}
{"type":"message","id":"6d2dfdf7","parentId":"dfe3f3f6","timestamp":"2026-04-03T01:35:29.850Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the full API type definition in the frontend:"},{"type":"toolCall","id":"toolu_015nGTrh6q24haT8edAKtMJi","name":"bash","arguments":{"command":"rg \"TechniquePageDetail\\|interface Technique\" frontend/src/api/public-client.ts -A20 | head -60"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":99,"cacheRead":77200,"cacheWrite":371,"totalTokens":77671,"cost":{"input":0.000005,"output":0.002475,"cacheRead":0.038599999999999995,"cacheWrite":0.00231875,"total":0.04339875}},"stopReason":"toolUse","timestamp":1775180125506}}
{"type":"message","id":"e3d22612","parentId":"6d2dfdf7","timestamp":"2026-04-03T01:35:29.867Z","message":{"role":"toolResult","toolCallId":"toolu_015nGTrh6q24haT8edAKtMJi","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1775180129865}}
{"type":"message","id":"571849df","parentId":"e3d22612","timestamp":"2026-04-03T01:35:33.933Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01L3gbhayFSSFEetrYe7JL9D","name":"bash","arguments":{"command":"rg \"export.*type.*Technique\\|export.*interface.*Technique\" frontend/src/api/public-client.ts -A30 | head -60"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":88,"cacheRead":77571,"cacheWrite":113,"totalTokens":77773,"cost":{"input":0.000005,"output":0.0022,"cacheRead":0.0387855,"cacheWrite":0.0007062500000000001,"total":0.04169675}},"stopReason":"toolUse","timestamp":1775180129865}}
{"type":"message","id":"0bb7821d","parentId":"571849df","timestamp":"2026-04-03T01:35:33.953Z","message":{"role":"toolResult","toolCallId":"toolu_01L3gbhayFSSFEetrYe7JL9D","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1775180133951}}
{"type":"message","id":"b800bf23","parentId":"0bb7821d","timestamp":"2026-04-03T01:35:37.053Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_015wWynBrQGtPkkgbwWq21nw","name":"bash","arguments":{"command":"rg \"Technique\" frontend/src/api/public-client.ts -n | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":74,"cacheRead":77684,"cacheWrite":102,"totalTokens":77861,"cost":{"input":0.000005,"output":0.00185,"cacheRead":0.038842,"cacheWrite":0.0006375,"total":0.0413345}},"stopReason":"toolUse","timestamp":1775180133952}}
{"type":"message","id":"765f0b10","parentId":"b800bf23","timestamp":"2026-04-03T01:35:37.072Z","message":{"role":"toolResult","toolCallId":"toolu_015wWynBrQGtPkkgbwWq21nw","toolName":"bash","content":[{"type":"text","text":"4: * Mirrors backend schemas: SearchResponse, TechniquePageDetail, TopicCategory, CreatorBrowseItem.\n59:export interface TechniquePageDetail {\n80:export interface TechniquePageVersionSummary {\n86:export interface TechniquePageVersionListResponse {\n87:  items: TechniquePageVersionSummary[];\n91:export interface TechniquePageVersionDetail {\n98:export interface TechniqueListItem {\n115:export interface TechniqueListResponse {\n116:  items: TechniqueListItem[];\n234:// ── Techniques ───────────────────────────────────────────────────────────────\n236:export interface TechniqueListParams {\n244:export async function fetchTechniques(\n245:  params: TechniqueListParams = {},\n246:): Promise<TechniqueListResponse> {\n254:  return request<TechniqueListResponse>(\n259:export async function fetchTechnique(\n261:): Promise<TechniquePageDetail> {\n262:  return request<TechniquePageDetail>(`${BASE}/techniques/${slug}`);\n265:export async function fetchRandomTechnique(): Promise<{ slug: string }> {\n269:export async function fetchTechniqueVersions(\n"}],"isError":false,"timestamp":1775180137069}}
{"type":"message","id":"c9eb57ed","parentId":"765f0b10","timestamp":"2026-04-03T01:35:44.035Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01TrG4NjRoEHTn9LSqKRidgx","name":"read","arguments":{"limit":40,"offset":59,"path":"frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":95,"cacheRead":77786,"cacheWrite":396,"totalTokens":78278,"cost":{"input":0.000005,"output":0.002375,"cacheRead":0.038893,"cacheWrite":0.002475,"total":0.043747999999999995}},"stopReason":"toolUse","timestamp":1775180137071}}
{"type":"message","id":"e45435d1","parentId":"c9eb57ed","timestamp":"2026-04-03T01:35:44.040Z","message":{"role":"toolResult","toolCallId":"toolu_01TrG4NjRoEHTn9LSqKRidgx","toolName":"read","content":[{"type":"text","text":"export interface TechniquePageDetail {\n  id: string;\n  title: string;\n  slug: string;\n  topic_category: string;\n  topic_tags: string[] | null;\n  summary: string | null;\n  body_sections: Record<string, unknown> | null;\n  signal_chains: unknown[] | null;\n  plugins: string[] | null;\n  creator_id: string;\n  source_quality: string | null;\n  view_count: number;\n  created_at: string;\n  updated_at: string;\n  key_moments: KeyMomentSummary[];\n  creator_info: CreatorInfo | null;\n  related_links: RelatedLinkItem[];\n  version_count: number;\n}\n\nexport interface TechniquePageVersionSummary {\n  version_number: number;\n  created_at: string;\n  pipeline_metadata: Record<string, unknown> | null;\n}\n\nexport interface TechniquePageVersionListResponse {\n  items: TechniquePageVersionSummary[];\n  total: number;\n}\n\nexport interface TechniquePageVersionDetail {\n  version_number: number;\n  content_snapshot: Record<string, unknown>;\n  pipeline_metadata: Record<string, unknown> | null;\n  created_at: string;\n}\n\nexport interface TechniqueListItem {\n\n[624 more lines in file. Use offset=99 to continue.]"}],"isError":false,"timestamp":1775180144037}}
{"type":"message","id":"28cbf99c","parentId":"e45435d1","timestamp":"2026-04-03T01:35:53.586Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me check what sample v2 data looks like from the test harness:"},{"type":"toolCall","id":"toolu_01Na2vb5T8cUPcq7r992kqHA","name":"bash","arguments":{"command":"rg \"body_sections_format.*v2\\|format.*v2\" backend/ -rl 2>/dev/null | head -5"}},{"type":"toolCall","id":"toolu_0138DBhxaM1zDjoQTDcn3MiV","name":"bash","arguments":{"command":"rg \"\\[0\\]\\|\\[1\\]\\|\\[2\\]\" backend/pipeline/test_harness_v2_format.py | head -5"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":180,"cacheRead":78182,"cacheWrite":449,"totalTokens":78812,"cost":{"input":0.000005,"output":0.0045000000000000005,"cacheRead":0.039091,"cacheWrite":0.00280625,"total":0.046402250000000006}},"stopReason":"toolUse","timestamp":1775180144038}}
{"type":"message","id":"1fe4bd7a","parentId":"28cbf99c","timestamp":"2026-04-03T01:35:53.609Z","message":{"role":"toolResult","toolCallId":"toolu_01Na2vb5T8cUPcq7r992kqHA","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1775180153608}}
{"type":"message","id":"0d18b77e","parentId":"1fe4bd7a","timestamp":"2026-04-03T01:35:53.612Z","message":{"role":"toolResult","toolCallId":"toolu_0138DBhxaM1zDjoQTDcn3MiV","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1775180153608}}
{"type":"message","id":"a4183daa","parentId":"0d18b77e","timestamp":"2026-04-03T01:35:56.853Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01XKmdP6hahPRUkC55Cz97sA","name":"bash","arguments":{"command":"rg '\\[0\\]|\\[1\\]|\\[2\\]' backend/pipeline/test_harness_v2_format.py | head -5"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":88,"cacheRead":78631,"cacheWrite":245,"totalTokens":78965,"cost":{"input":0.000005,"output":0.0022,"cacheRead":0.039315499999999996,"cacheWrite":0.00153125,"total":0.04305174999999999}},"stopReason":"toolUse","timestamp":1775180153610}}
{"type":"message","id":"b54f9bbc","parentId":"a4183daa","timestamp":"2026-04-03T01:35:56.868Z","message":{"role":"toolResult","toolCallId":"toolu_01XKmdP6hahPRUkC55Cz97sA","toolName":"bash","content":[{"type":"text","text":"            BodySection(heading=\"Intro\", content=\"First point [0]. Second point [1].\"),\n            BodySection(heading=\"Details\", content=\"More on [0] and [2].\"),\n            BodySection(heading=\"Intro\", content=\"Only cites [0].\"),\n            BodySection(heading=\"Bad\", content=\"Cites [0] and [99].\"),\n                content=\"See [0].\",\n"}],"isError":false,"timestamp":1775180156866}}
{"type":"message","id":"b4753659","parentId":"b54f9bbc","timestamp":"2026-04-03T01:36:04.619Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. The v2 format is clear: `body_sections` is a list of `{heading, content, subsections: [{heading, content}]}` with `[N]` citation markers referencing key moments by 0-based index. The frontend currently treats `body_sections` as `Record<string, unknown>` (v1 dict) and renders with `Object.entries()`.\n\nLet me check the existing scroll-to-hash and any TOC patterns already in the codebase:"},{"type":"toolCall","id":"toolu_015UB3cs3rux8xGVVFmNe4te","name":"bash","arguments":{"command":"rg \"scrollIntoView\\|hash\\|table.*of.*content\\|toc\" frontend/src/ -il 2>/dev/null"}},{"type":"toolCall","id":"toolu_01GUhRzPDYQoy75iB9YKYsdT","name":"bash","arguments":{"command":"rg \"slugify\\|toSlug\\|kebab\\|urlSafe\" frontend/src/ -rl 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":263,"cacheRead":78876,"cacheWrite":198,"totalTokens":79338,"cost":{"input":0.000005,"output":0.006575,"cacheRead":0.039438,"cacheWrite":0.0012375,"total":0.047255500000000006}},"stopReason":"toolUse","timestamp":1775180156867}}
{"type":"message","id":"469228db","parentId":"b4753659","timestamp":"2026-04-03T01:36:04.642Z","message":{"role":"toolResult","toolCallId":"toolu_015UB3cs3rux8xGVVFmNe4te","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180164642}}
{"type":"message","id":"3f5bb2fc","parentId":"469228db","timestamp":"2026-04-03T01:36:04.648Z","message":{"role":"toolResult","toolCallId":"toolu_01GUhRzPDYQoy75iB9YKYsdT","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180164646}}
{"type":"message","id":"c9010816","parentId":"3f5bb2fc","timestamp":"2026-04-03T01:36:07.809Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Ax6FybVvmD9VecdUAf9Tu7","name":"bash","arguments":{"command":"rg \"scrollIntoView\\|hash\\|toc\" frontend/src/ -rl"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":73,"cacheRead":79074,"cacheWrite":346,"totalTokens":79494,"cost":{"input":0.000005,"output":0.001825,"cacheRead":0.039536999999999996,"cacheWrite":0.0021625,"total":0.04352949999999999}},"stopReason":"toolUse","timestamp":1775180164647}}
{"type":"message","id":"fef672d6","parentId":"c9010816","timestamp":"2026-04-03T01:36:07.831Z","message":{"role":"toolResult","toolCallId":"toolu_01Ax6FybVvmD9VecdUAf9Tu7","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1775180167828}}
{"type":"message","id":"c921460a","parentId":"fef672d6","timestamp":"2026-04-03T01:36:10.925Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Ge8h1Us8KmqqfHDoXkAiGG","name":"bash","arguments":{"command":"grep -rl \"scrollIntoView\\|hash\\|toc\" frontend/src/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":72,"cacheRead":79074,"cacheWrite":450,"totalTokens":79597,"cost":{"input":0.000005,"output":0.0018000000000000002,"cacheRead":0.039536999999999996,"cacheWrite":0.0028125000000000003,"total":0.0441545}},"stopReason":"toolUse","timestamp":1775180167829}}
{"type":"message","id":"e3bf7cad","parentId":"c921460a","timestamp":"2026-04-03T01:36:10.940Z","message":{"role":"toolResult","toolCallId":"toolu_01Ge8h1Us8KmqqfHDoXkAiGG","toolName":"bash","content":[{"type":"text","text":"frontend/src/pages/AdminPipeline.tsx\nfrontend/src/pages/Home.tsx\nfrontend/src/pages/TechniquePage.tsx\nfrontend/src/pages/SearchResults.tsx\nfrontend/src/App.tsx\nfrontend/src/api/public-client.ts\nfrontend/src/App.css\nfrontend/src/components/SearchAutocomplete.tsx\nfrontend/src/components/CreatorAvatar.tsx\n"}],"isError":false,"timestamp":1775180170938}}
{"type":"message","id":"336fa086","parentId":"e3bf7cad","timestamp":"2026-04-03T01:36:15.771Z","message":{"role":"assistant","content":[{"type":"text","text":"The TechniquePage already has hash-based scrolling for `#km-` fragments. Good — that pattern extends to section anchors.\n\nLet me check the CSS custom properties and overall styling approach:"},{"type":"toolCall","id":"toolu_018Zin2Eeyy5oa5b4tM37Cen","name":"bash","arguments":{"command":"grep \"^:root\\|--color-\\|--font-\\|--spacing-\" frontend/src/App.css | head -20"}},{"type":"toolCall","id":"toolu_01G4pzqkYZ5xsZL2GEBvDjdE","name":"bash","arguments":{"command":"wc -l frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":172,"cacheRead":79524,"cacheWrite":185,"totalTokens":79882,"cost":{"input":0.000005,"output":0.0043,"cacheRead":0.039762,"cacheWrite":0.0011562500000000002,"total":0.04522324999999999}},"stopReason":"toolUse","timestamp":1775180170939}}
{"type":"message","id":"072d9097","parentId":"336fa086","timestamp":"2026-04-03T01:36:15.788Z","message":{"role":"toolResult","toolCallId":"toolu_018Zin2Eeyy5oa5b4tM37Cen","toolName":"bash","content":[{"type":"text","text":":root {\n  --color-bg-page: #0f0f14;\n  --color-bg-surface: #1a1a24;\n  --color-bg-surface-hover: #22222e;\n  --color-bg-input: #1a1a24;\n  --color-bg-header: #0a0a12;\n  --color-bg-header-alt: #14141e;\n  --color-bg-transcript: #12121a;\n  --color-text-primary: #e2e2ea;\n  --color-text-secondary: #8b8b9a;\n  --color-text-muted: #828291;\n  --color-text-active: #e2e2ea;\n  --color-text-on-header: rgba(255, 255, 255, 0.8);\n  --color-text-on-header-hover: #fff;\n  --color-text-on-header-label: rgba(255, 255, 255, 0.9);\n  --color-border: #2a2a38;\n  --color-border-active: #22d3ee;\n  --color-accent: #22d3ee;\n  --color-accent-hover: #67e8f9;\n  --color-accent-subtle: rgba(34, 211, 238, 0.1);\n"}],"isError":false,"timestamp":1775180175788}}
{"type":"message","id":"2f822212","parentId":"072d9097","timestamp":"2026-04-03T01:36:15.796Z","message":{"role":"toolResult","toolCallId":"toolu_01G4pzqkYZ5xsZL2GEBvDjdE","toolName":"bash","content":[{"type":"text","text":"4999 frontend/src/App.css\n"}],"isError":false,"timestamp":1775180175794}}
{"type":"message","id":"572c2568","parentId":"2f822212","timestamp":"2026-04-03T01:37:01.935Z","message":{"role":"assistant","content":[{"type":"text","text":"I have everything I need. The picture is clear:\n\n1. **v2 format**: `body_sections` is `list[BodySection]` where each has `{heading, content, subsections: [{heading, content}]}` with `[N]` citation markers\n2. **Current frontend**: Treats `body_sections` as `Record<string, unknown>` — iterates with `Object.entries()`, renders section title as H2, content as `<p>` or JSON dump\n3. **What's needed**: Detect `body_sections_format` field (new from S03), render v2 with proper H2/H3 nesting, TOC sidebar/header, and clickable `[N]` → scroll to key moment `#km-{id}`\n4. **No new libraries needed** — this is standard React rendering + CSS\n5. **The `TechniquePageDetail` interface** needs `body_sections_format` and `source_videos` fields added (S03 added them to backend but frontend types weren't updated)"},{"type":"toolCall","id":"toolu_013wtEc1ghC9uAwN7JibFFTU","name":"gsd_summary_save","arguments":{"artifact_type":"RESEARCH","content":"# S05 Research: Frontend — Nested Rendering, TOC, Citations\n\n## Summary\n\nStraightforward frontend work. The v2 data model is well-defined (S01/S03), the existing TechniquePage component has clear seams for modification, and no new libraries are needed. The main work is: detect format version → render v2 sections with H2/H3 nesting → add a TOC → make `[N]` citation markers clickable links to key moments.\n\n## Recommendation\n\nLight research — known patterns, established codebase. Three tasks: (1) update TypeScript types + build format-aware rendering, (2) add TOC component, (3) wire citation markers to key moment anchors. All in existing files plus one new component.\n\n## Implementation Landscape\n\n### Current State\n\n**TechniquePage.tsx** (~350 lines) fetches technique by slug, supports version switching, renders body_sections with `Object.entries()` treating it as `Record<string, unknown>` (v1 dict format). Falls back to JSON dump for non-string content. Already has hash-based scrolling for `#km-{id}` fragments on key moments.\n\n**public-client.ts** — `TechniquePageDetail` interface is missing `body_sections_format` and `source_videos` fields that S03 added to the backend schema. `body_sections` is typed as `Record<string, unknown> | null` — needs widening to `Record<string, unknown> | BodySectionV2[] | null`.\n\n**App.css** (~5000 lines) has `.technique-prose`, `.technique-prose__section`, `.technique-prose__section h2/p` styles. Dark theme with CSS custom properties. No existing TOC styles.\n\n### V2 Data Format\n\nFrom `backend/pipeline/schemas.py`:\n\n```\nBodySection:\n  heading: str        # H2\n  content: str        # prose (empty string if substance is in subsections — see D024)\n  subsections: list[BodySubSection]  # optional H3s\n\nBodySubSection:\n  heading: str        # H3\n  content: str        # prose\n```\n\nCitations are `[N]` markers in content strings where N is a 0-based index into the page's key_moments array. Multi-cite: `[N,M]`. Validated by `citation_utils.py`.\n\n### Format Detection\n\nBackend returns `body_sections_format: \"v1\"` (existing pages, dict) or `\"v2\"` (new pages, list of objects). The field has a server-side default of `\"v1\"` so all existing data works unchanged.\n\n### Key Anchors Already Exist\n\nEach key moment renders with `id={`km-${km.id}`}`. The `[N]` citation index maps to `technique.key_moments[N].id`. The scroll-to-hash pattern (`scrollIntoView`) is already implemented for `#km-` fragments.\n\n### What Needs to Change\n\n1. **Type updates** (`public-client.ts`):\n   - Add `body_sections_format: string` to `TechniquePageDetail`\n   - Add `source_videos` field (array of `{id, filename, added_at}`)\n   - Widen `body_sections` type to `Record<string, unknown> | unknown[] | null`\n\n2. **Format-aware rendering** (`TechniquePage.tsx`):\n   - Check `body_sections_format` — if `\"v2\"`, render list-of-objects; else existing dict logic\n   - V2 renderer: iterate sections → H2 heading + content paragraph + subsections (H3 + content)\n   - Per D024, sections with subsections have empty-string content — skip rendering empty `<p>`\n\n3. **TOC component** (new, e.g. `components/TableOfContents.tsx`):\n   - Takes v2 sections array, generates anchor IDs from headings (slugify)\n   - Renders nested list: H2 entries with indented H3 sub-entries\n   - Each item is an `<a href=\"#section-slug\">` that smooth-scrolls\n   - Add `id` attributes to rendered H2/H3 elements for anchor targets\n   - Position: inside `.technique-columns__main`, above the prose, or as a sticky sidebar element\n\n4. **Citation rendering**:\n   - Parse `[N]` and `[N,M]` patterns in content strings\n   - Replace with `<a href=\"#km-{momentId}\" class=\"citation-link\">[N]</a>`\n   - Need the key_moments array to map index → moment ID\n   - Superscript styling for citation markers\n\n5. **CSS additions** (`App.css`):\n   - `.technique-toc` — TOC container, possibly sticky\n   - `.technique-toc__item`, `.technique-toc__sub-item` — nested list styles\n   - `.technique-prose__subsection` — H3 sections\n   - `.citation-link` — superscript, accent-colored, hover underline\n   - Section anchor scroll offset (account for sticky nav)\n\n### Slug Generation for Section IDs\n\nNeed a simple `toSlug()` utility: lowercase, replace spaces/special chars with hyphens, strip duplicates. No existing utility in the codebase. Can be a 3-line function inline or in `utils/`.\n\n### Version Overlay Consideration\n\nThe `snapshotToOverlay()` function extracts `body_sections` from historical versions. It currently casts to `Record<string, unknown>`. For v2 snapshots, it should pass through as-is (list). The format-aware renderer handles both — no change needed to overlay logic as long as the type is widened.\n\n### No External Dependencies\n\nAll work uses React, standard DOM APIs, and existing CSS patterns. No new npm packages needed.\n\n## Verification Approach\n\n1. **Type check**: `npm run build` passes (no TypeScript errors)\n2. **V1 backward compat**: Existing technique pages render identically (format detection routes to old logic)\n3. **V2 rendering**: If any v2 pages exist in the DB (from S04 pipeline runs), they render with H2/H3 nesting\n4. **TOC**: TOC appears on v2 pages with clickable section links that scroll to the correct heading\n5. **Citations**: `[N]` markers render as clickable links that scroll to the matching key moment\n6. **Visual**: Browser verification on ub01:8096 for both v1 and v2 pages\n","milestone_id":"M014","slice_id":"S05"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1890,"cacheRead":79709,"cacheWrite":573,"totalTokens":82173,"cost":{"input":0.000005,"output":0.04725,"cacheRead":0.0398545,"cacheWrite":0.0035812500000000002,"total":0.09069075}},"stopReason":"toolUse","timestamp":1775180175795}}
{"type":"message","id":"4f112d1b","parentId":"572c2568","timestamp":"2026-04-03T01:37:01.941Z","message":{"role":"toolResult","toolCallId":"toolu_013wtEc1ghC9uAwN7JibFFTU","toolName":"gsd_summary_save","content":[{"type":"text","text":"Saved RESEARCH artifact to milestones/M014/slices/S05/S05-RESEARCH.md"}],"details":{"operation":"save_summary","path":"milestones/M014/slices/S05/S05-RESEARCH.md","artifact_type":"RESEARCH"},"isError":false,"timestamp":1775180221938}}
{"type":"message","id":"17f2ad4a","parentId":"4f112d1b","timestamp":"2026-04-03T01:37:04.748Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S05 researched."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":11,"cacheRead":80282,"cacheWrite":1928,"totalTokens":82222,"cost":{"input":0.000005,"output":0.000275,"cacheRead":0.040140999999999996,"cacheWrite":0.01205,"total":0.052471}},"stopReason":"stop","timestamp":1775180221939}}
