{"type":"thinking_level_change","id":"40a5a9cb","parentId":null,"timestamp":"2026-03-31T05:52:28.502Z","thinkingLevel":"medium"}
{"type":"model_change","id":"8e57b960","parentId":"40a5a9cb","timestamp":"2026-03-31T05:52:28.503Z","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## UNIT: Research Slice S01 (\"Dedicated Sub-Topic Pages\") — Milestone M010\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M010/M010-ROADMAP.md`\n\n# M010: Discovery, Navigation & Visual Identity\n\n## Vision\nChrysopedia should feel like exploring a music production library, not querying a database. This milestone adds the navigation structure (sub-topic pages, cross-links), visual identity (topic colors, creator differentiation), and interaction polish (autocomplete, transitions) that transform browsing from utilitarian to engaging. A user who reads one technique should naturally discover three more.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Dedicated Sub-Topic Pages | high | — | ⬜ | Clicking 'Compression' on Topics page loads /topics/mixing/compression with techniques grouped by creator, description, breadcrumbs |\n| S02 | Related Techniques Cross-Linking | medium | — | ⬜ | Bottom of every technique page shows 3-4 related techniques from same creator or same sub-topic |\n| S03 | Topic Color Coding & Visual Polish | medium | S01 | ⬜ | Each of 7 topic categories has a distinct accent color in badges, cards, and sub-topic pages. Page transitions are smooth. Creator avatars are visually unique. |\n| S04 | Search Autocomplete & Suggestions | medium | — | ⬜ | Typing in search shows autocomplete suggestions. Empty search box shows popular search terms. |\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n| D013 | M001/S05 | requirement | R008 Topics Browse Page status | validated | TopicsBrowse.tsx renders two-level topic hierarchy (6 categories from canonical_tags.yaml with expandable sub-topics showing technique_count and creator_count). Filter input narrows categories/sub-topics. Clicking sub-topic navigates to search with scope=topics. Backend GET /api/v1/topics aggregates counts from DB per sub-topic. Integration test verifies topic hierarchy response shape. | Yes | agent |\n| D014 | M001/S05 | requirement | R014 Creator Equity status | validated | CreatorsBrowse.tsx defaults to sort=random. Backend uses func.random() ORDER BY for randomized sort. Integration test verifies random sort returns all creators (order may vary). All creators get equal visual weight in the UI — no featured/highlighted treatment. Equal-weight row layout confirmed in CSS. | Yes | agent |\n| D015 | M002/S01 | architecture | Docker network subnet for Chrysopedia on ub01 | 172.32.0.0/24 — free on ub01, replaces 172.24.0.0/24 which is used by xpltd_docs_default | 172.24.0.0/24 was already allocated to xpltd_docs_default network on ub01. Scanned all existing subnets and 172.32.0.0/24 was the first unoccupied /24 in the 172.x range. | Yes | agent |\n| D016 | M002/S01 | architecture | Embedding service for the pipeline and search — OpenWebUI doesn't serve /v1/embeddings | Add Ollama container (ollama/ollama:latest) to the compose stack running nomic-embed-text on CPU | The FYN OpenWebUI instance at chat.forgetyour.name returns 404/500 on /v1/embeddings. No Ollama instance exists on the network. Ollama provides the standard OpenAI-compatible /v1/embeddings endpoint that both EmbeddingClient and SearchService expect. | Yes | agent |\n| D017 |  | frontend | CSS theming approach for dark mode | 77 semantic CSS custom properties in :root block, all hardcoded colors replaced with var(--*) references | A complete variable-based palette enables theme switching, ensures consistency, and makes future color changes single-point edits. 77 tokens (vs ~30 initially planned) were needed to cover all semantic contexts — badges, buttons, surfaces, text, accents, shadows, and status states. Cyan (#22d3ee) replaces indigo as the accent color throughout. | Yes | agent |\n| D018 | M004/S04 | architecture | Version snapshot failure handling strategy in stage 5 | Best-effort versioning — snapshot INSERT failure logs ERROR but does not block page update (existing content overwrites proceed regardless) | Versioning is a diagnostic/benchmarking feature. Losing a version snapshot is far less damaging than failing the entire page synthesis. Follows the same non-blocking side-effect pattern established in D005 for embedding/Qdrant failures. | Yes | agent |\n| D019 | M005/S02 | frontend-layout | Technique page layout structure | CSS grid 2-column layout: 1fr main + 22rem sticky sidebar, collapsing to single column at 768px. Page max-width widened from 48rem to 64rem. | 22rem sidebar provides enough room for moment cards and plugin lists without cramming. 64rem total width accommodates both columns comfortably on standard desktop displays. Sticky sidebar keeps navigation aids visible while scrolling prose. 768px breakpoint aligns with existing mobile styles in the codebase. | Yes | agent |\n| D020 | M006/S05 | frontend | Topics page card layout visual differentiation approach | 3px colored left border + small colored dot next to category name, using existing badge CSS custom properties per category | Subtler than a full colored header — maintains dark theme cohesion while providing clear visual differentiation between 7 category cards. Reuses existing --color-badge-cat-*-bg/text custom properties, avoiding new color definitions. | 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 (6 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic shows technique pages.\n**Validation:** Hierarchy renders, filtering works, sub-topic links show correct technique pages.\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---\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- (no dependencies)\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: M010`, `slice_id: S01`, `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/M010/slices/S01/`. Do NOT mkdir.\n\n**You MUST call `gsd_summary_save` with the research content before finishing.**\n\nWhen done, say: \"Slice S01 researched.\"","display":false,"id":"b3e07d2c","parentId":"8e57b960","timestamp":"2026-03-31T05:52:28.504Z"}
{"type":"message","id":"e329b8a1","parentId":"b3e07d2c","timestamp":"2026-03-31T05:52:37.363Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me research what's needed for S01 \"Dedicated Sub-Topic Pages\". The roadmap says: \"Clicking 'Compression' on Topics page loads /topics/mixing/compression with techniques grouped by creator, description, breadcrumbs.\"\n\nThis is a frontend routing + backend API task. Let me explore the existing code to understand the current Topics page, routing, and API structure.","thinkingSignature":"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"},{"type":"text","text":"I need to understand the current Topics page, routing, and API to plan sub-topic pages. Let me explore the relevant code."},{"type":"toolCall","id":"toolu_012nH46EPvwfXo9DRv1P9Ddb","name":"bash","arguments":{"command":"find /home/aux/projects/content-to-kb-automator/frontend/src -type f -name \"*.tsx\" -o -name \"*.ts\" | head -40"}},{"type":"toolCall","id":"toolu_01DGEWdvyM54qYAepR8o5FXb","name":"bash","arguments":{"command":"find /home/aux/projects/content-to-kb-automator/backend -type f -name \"*.py\" | grep -E \"(topic|route)\" | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":294,"cacheRead":58653,"cacheWrite":6331,"totalTokens":65281,"cost":{"input":0.000015000000000000002,"output":0.007350000000000001,"cacheRead":0.0293265,"cacheWrite":0.03956875,"total":0.07626025}},"stopReason":"toolUse","timestamp":1774936348503}}
{"type":"message","id":"acb09593","parentId":"e329b8a1","timestamp":"2026-03-31T05:52:37.373Z","message":{"role":"toolResult","toolCallId":"toolu_012nH46EPvwfXo9DRv1P9Ddb","toolName":"bash","content":[{"type":"text","text":"/home/aux/projects/content-to-kb-automator/frontend/src/pages/AdminPipeline.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/CreatorDetail.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/CreatorsBrowse.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/AdminReports.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/Home.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/TechniquePage.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/TopicsBrowse.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/About.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/pages/SearchResults.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/vite-env.d.ts\n/home/aux/projects/content-to-kb-automator/frontend/src/App.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/api/public-client.ts\n/home/aux/projects/content-to-kb-automator/frontend/src/components/CategoryIcons.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/components/CreatorAvatar.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/components/AppFooter.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/components/CopyLinkButton.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/components/AdminDropdown.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/components/ReportIssueModal.tsx\n/home/aux/projects/content-to-kb-automator/frontend/src/main.tsx\n"}],"isError":false,"timestamp":1774936357373}}
{"type":"message","id":"e6f8bf9f","parentId":"acb09593","timestamp":"2026-03-31T05:52:37.376Z","message":{"role":"toolResult","toolCallId":"toolu_01DGEWdvyM54qYAepR8o5FXb","toolName":"bash","content":[{"type":"text","text":"/home/aux/projects/content-to-kb-automator/backend/routers/techniques.py\n/home/aux/projects/content-to-kb-automator/backend/routers/topics.py\n/home/aux/projects/content-to-kb-automator/backend/routers/reports.py\n/home/aux/projects/content-to-kb-automator/backend/routers/health.py\n/home/aux/projects/content-to-kb-automator/backend/routers/videos.py\n/home/aux/projects/content-to-kb-automator/backend/routers/pipeline.py\n/home/aux/projects/content-to-kb-automator/backend/routers/__init__.py\n/home/aux/projects/content-to-kb-automator/backend/routers/creators.py\n/home/aux/projects/content-to-kb-automator/backend/routers/ingest.py\n/home/aux/projects/content-to-kb-automator/backend/routers/search.py\n"}],"isError":false,"timestamp":1774936357375}}
{"type":"message","id":"76856f85","parentId":"e6f8bf9f","timestamp":"2026-03-31T05:52:41.228Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_018NfeKWaS1HGnYs7MkUUkQi","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/frontend/src/pages/TopicsBrowse.tsx"}},{"type":"toolCall","id":"toolu_01CfxpGe4PC8PrrrbAjshZpJ","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/routers/topics.py"}},{"type":"toolCall","id":"toolu_015BNB78XAZQnTwA6BqGvent","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/frontend/src/App.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":192,"cacheRead":64984,"cacheWrite":1038,"totalTokens":66215,"cost":{"input":0.000005,"output":0.0048000000000000004,"cacheRead":0.032492,"cacheWrite":0.0064875,"total":0.0437845}},"stopReason":"toolUse","timestamp":1774936357376}}
{"type":"message","id":"14ab4c20","parentId":"76856f85","timestamp":"2026-03-31T05:52:41.232Z","message":{"role":"toolResult","toolCallId":"toolu_018NfeKWaS1HGnYs7MkUUkQi","toolName":"read","content":[{"type":"text","text":"/**\n * Topics browse page (R008).\n *\n * Responsive card grid layout with 7 top-level categories.\n * Each card shows: category name, description, summary stats\n * (sub-topic count + total technique count), and an expand/collapse\n * toggle revealing sub-topics as links to search.\n *\n * Filter input narrows visible cards by category name + sub-topic names.\n */\n\nimport { useEffect, useState } from \"react\";\nimport { Link } from \"react-router-dom\";\nimport { fetchTopics, type TopicCategory } from \"../api/public-client\";\nimport { CATEGORY_ICON } from \"../components/CategoryIcons\";\n\n/** Derive the badge CSS slug from a category name. */\nfunction catSlug(name: string): string {\n  return name.toLowerCase().replace(/\\s+/g, \"-\");\n}\n\n\n\nexport default function TopicsBrowse() {\n  const [categories, setCategories] = useState<TopicCategory[]>([]);\n  const [loading, setLoading] = useState(true);\n  const [error, setError] = useState<string | null>(null);\n  const [expanded, setExpanded] = useState<Set<string>>(new Set());\n  const [filter, setFilter] = useState(\"\");\n\n  useEffect(() => {\n    let cancelled = false;\n    setLoading(true);\n    setError(null);\n\n    void (async () => {\n      try {\n        const data = await fetchTopics();\n        if (!cancelled) {\n          setCategories(data);\n          // All expanded by default\n          setExpanded(new Set(data.map((c) => c.name)));\n        }\n      } catch (err) {\n        if (!cancelled) {\n          setError(\n            err instanceof Error ? err.message : \"Failed to load topics\",\n          );\n        }\n      } finally {\n        if (!cancelled) setLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, []);\n\n  function toggleCategory(name: string) {\n    setExpanded((prev) => {\n      const next = new Set(prev);\n      if (next.has(name)) {\n        next.delete(name);\n      } else {\n        next.add(name);\n      }\n      return next;\n    });\n  }\n\n  // Apply filter: show categories whose name or sub-topics match\n  const lowerFilter = filter.toLowerCase();\n  const filtered = filter\n    ? (categories\n        .map((cat) => {\n          const catMatches = cat.name.toLowerCase().includes(lowerFilter);\n          const matchingSubs = cat.sub_topics.filter((st) =>\n            st.name.toLowerCase().includes(lowerFilter),\n          );\n          if (catMatches) return cat; // show full category\n          if (matchingSubs.length > 0) {\n            return { ...cat, sub_topics: matchingSubs };\n          }\n          return null;\n        })\n        .filter(Boolean) as TopicCategory[])\n    : categories;\n\n  if (loading) {\n    return <div className=\"loading\">Loading topics…</div>;\n  }\n\n  if (error) {\n    return <div className=\"loading error-text\">Error: {error}</div>;\n  }\n\n  return (\n    <div className=\"topics-browse\">\n      <h2 className=\"topics-browse__title\">Topics</h2>\n      <p className=\"topics-browse__subtitle\">\n        Browse techniques organized by category and sub-topic\n      </p>\n\n      {/* Filter */}\n      <input\n        type=\"search\"\n        className=\"topics-filter-input\"\n        placeholder=\"Filter topics…\"\n        value={filter}\n        onChange={(e) => setFilter(e.target.value)}\n        aria-label=\"Filter topics\"\n      />\n\n      {filtered.length === 0 ? (\n        <div className=\"empty-state\">\n          No topics matching &ldquo;{filter}&rdquo;\n        </div>\n      ) : (\n        <div className=\"topics-grid\">\n          {filtered.map((cat) => {\n            const slug = catSlug(cat.name);\n            const isExpanded = expanded.has(cat.name);\n            const totalTechniques = cat.sub_topics.reduce(\n              (sum, st) => sum + st.technique_count,\n              0,\n            );\n\n            return (\n              <div\n                key={cat.name}\n                className=\"topic-card\"\n                style={{\n                  borderLeftColor: `var(--color-badge-cat-${slug}-text)`,\n                }}\n              >\n                <div className=\"topic-card__body\">\n                  <h3 className=\"topic-card__name\">\n                    <span className=\"topic-card__glyph\">{(() => { const Ic = CATEGORY_ICON[cat.name] ?? CATEGORY_ICON[\"Workflow\"]; return Ic ? <Ic /> : null; })()}</span>\n                    {cat.name}\n                  </h3>\n                  <p className=\"topic-card__desc\">{cat.description}</p>\n                  <div className=\"topic-card__stats\">\n                    <span>{cat.sub_topics.length} sub-topic{cat.sub_topics.length !== 1 ? \"s\" : \"\"}</span>\n                    <span className=\"topic-card__stats-sep\">·</span>\n                    <span>{totalTechniques} technique{totalTechniques !== 1 ? \"s\" : \"\"}</span>\n                  </div>\n                  <button\n                    className=\"topic-card__toggle\"\n                    onClick={() => toggleCategory(cat.name)}\n                    aria-expanded={isExpanded}\n                  >\n                    {isExpanded ? \"Hide sub-topics ▲\" : \"Show sub-topics ▼\"}\n                  </button>\n                </div>\n\n                {isExpanded && (\n                  <div className=\"topic-subtopics\">\n                    {cat.sub_topics.map((st) => (\n                      <Link\n                        key={st.name}\n                        to={`/search?q=${encodeURIComponent(st.name)}&scope=topics`}\n                        className=\"topic-subtopic\"\n                      >\n                        <span className=\"topic-subtopic__name\">{st.name}</span>\n                        <span className=\"topic-subtopic__counts\">\n                          <span className=\"topic-subtopic__count\">\n                            {st.technique_count} technique{st.technique_count !== 1 ? \"s\" : \"\"}\n                          </span>\n                          <span className=\"topic-subtopic__separator\">·</span>\n                          <span className=\"topic-subtopic__count\">\n                            {st.creator_count} creator{st.creator_count !== 1 ? \"s\" : \"\"}\n                          </span>\n                        </span>\n                      </Link>\n                    ))}\n                  </div>\n                )}\n              </div>\n            );\n          })}\n        </div>\n      )}\n    </div>\n  );\n}\n"}],"isError":false,"timestamp":1774936361231}}
{"type":"message","id":"7abea4bd","parentId":"14ab4c20","timestamp":"2026-03-31T05:52:41.233Z","message":{"role":"toolResult","toolCallId":"toolu_01CfxpGe4PC8PrrrbAjshZpJ","toolName":"read","content":[{"type":"text","text":"\"\"\"Topics endpoint — two-level category hierarchy with aggregated counts.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nimport os\nfrom typing import Annotated, Any\n\nimport yaml\nfrom fastapi import APIRouter, Depends, Query\nfrom sqlalchemy import func, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, TechniquePage\nfrom schemas import (\n    PaginatedResponse,\n    TechniquePageRead,\n    TopicCategory,\n    TopicSubTopic,\n)\n\nlogger = logging.getLogger(\"chrysopedia.topics\")\n\nrouter = APIRouter(prefix=\"/topics\", tags=[\"topics\"])\n\n# Path to canonical_tags.yaml relative to the backend directory\n_TAGS_PATH = os.path.join(os.path.dirname(__file__), \"..\", \"..\", \"config\", \"canonical_tags.yaml\")\n\n\ndef _load_canonical_tags() -> list[dict[str, Any]]:\n    \"\"\"Load the canonical tag categories from YAML.\"\"\"\n    path = os.path.normpath(_TAGS_PATH)\n    try:\n        with open(path) as f:\n            data = yaml.safe_load(f)\n        return data.get(\"categories\", [])\n    except FileNotFoundError:\n        logger.warning(\"canonical_tags.yaml not found at %s\", path)\n        return []\n\n\n@router.get(\"\", response_model=list[TopicCategory])\nasync def list_topics(\n    db: AsyncSession = Depends(get_session),\n) -> list[TopicCategory]:\n    \"\"\"Return the two-level topic hierarchy with technique/creator counts per sub-topic.\n\n    Categories come from ``canonical_tags.yaml``. Counts are computed\n    from live DB data by matching ``topic_tags`` array contents.\n    \"\"\"\n    categories = _load_canonical_tags()\n\n    # Pre-fetch all technique pages with their tags and creator_ids for counting\n    tp_stmt = select(\n        TechniquePage.topic_category,\n        TechniquePage.topic_tags,\n        TechniquePage.creator_id,\n    )\n    tp_result = await db.execute(tp_stmt)\n    tp_rows = tp_result.all()\n\n    # Build per-sub-topic counts\n    result: list[TopicCategory] = []\n    for cat in categories:\n        cat_name = cat.get(\"name\", \"\")\n        cat_desc = cat.get(\"description\", \"\")\n        sub_topic_names: list[str] = cat.get(\"sub_topics\", [])\n\n        sub_topics: list[TopicSubTopic] = []\n        for st_name in sub_topic_names:\n            technique_count = 0\n            creator_ids: set[str] = set()\n\n            for tp_cat, tp_tags, tp_creator_id in tp_rows:\n                tags = tp_tags or []\n                # Match if the sub-topic name appears in the technique's tags\n                # or if the category matches and tag is in sub-topics\n                if st_name.lower() in [t.lower() for t in tags]:\n                    technique_count += 1\n                    creator_ids.add(str(tp_creator_id))\n\n            sub_topics.append(\n                TopicSubTopic(\n                    name=st_name,\n                    technique_count=technique_count,\n                    creator_count=len(creator_ids),\n                )\n            )\n\n        result.append(\n            TopicCategory(\n                name=cat_name,\n                description=cat_desc,\n                sub_topics=sub_topics,\n            )\n        )\n\n    return result\n\n\n@router.get(\"/{category_slug}\", response_model=PaginatedResponse)\nasync def get_topic_techniques(\n    category_slug: str,\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> PaginatedResponse:\n    \"\"\"Return technique pages filtered by topic_category.\n\n    The ``category_slug`` is matched case-insensitively against\n    ``technique_pages.topic_category`` (e.g. 'sound-design' matches 'Sound design').\n    \"\"\"\n    # Normalize slug to category name: replace hyphens with spaces, title-case\n    category_name = category_slug.replace(\"-\", \" \").title()\n\n    # Also try exact match on the slug form\n    stmt = select(TechniquePage).where(\n        TechniquePage.topic_category.ilike(category_name)\n    )\n\n    count_stmt = select(func.count()).select_from(stmt.subquery())\n    count_result = await db.execute(count_stmt)\n    total = count_result.scalar() or 0\n\n    stmt = stmt.options(selectinload(TechniquePage.creator)).order_by(TechniquePage.title).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    pages = result.scalars().all()\n\n    items = []\n    for p in pages:\n        item = TechniquePageRead.model_validate(p)\n        if p.creator:\n            item.creator_name = p.creator.name\n            item.creator_slug = p.creator.slug\n        items.append(item)\n\n    return PaginatedResponse(\n        items=items,\n        total=total,\n        offset=offset,\n        limit=limit,\n    )\n"}],"isError":false,"timestamp":1774936361231}}
{"type":"message","id":"ea872833","parentId":"7abea4bd","timestamp":"2026-03-31T05:52:41.236Z","message":{"role":"toolResult","toolCallId":"toolu_015BNB78XAZQnTwA6BqGvent","toolName":"read","content":[{"type":"text","text":"import { Link, Navigate, Route, Routes } from \"react-router-dom\";\nimport Home from \"./pages/Home\";\nimport SearchResults from \"./pages/SearchResults\";\nimport TechniquePage from \"./pages/TechniquePage\";\nimport CreatorsBrowse from \"./pages/CreatorsBrowse\";\nimport CreatorDetail from \"./pages/CreatorDetail\";\nimport TopicsBrowse from \"./pages/TopicsBrowse\";\nimport AdminReports from \"./pages/AdminReports\";\nimport AdminPipeline from \"./pages/AdminPipeline\";\nimport About from \"./pages/About\";\nimport AdminDropdown from \"./components/AdminDropdown\";\nimport AppFooter from \"./components/AppFooter\";\n\nexport default function App() {\n  return (\n    <div className=\"app\">\n      <header className=\"app-header\">\n        <Link to=\"/\" className=\"app-header__brand\">\n          <h1>Chrysopedia</h1>\n        </Link>\n        <div className=\"app-header__right\">\n          <nav className=\"app-nav\">\n            <Link to=\"/\">Home</Link>\n            <Link to=\"/topics\">Topics</Link>\n            <Link to=\"/creators\">Creators</Link>\n            <AdminDropdown />\n          </nav>\n        </div>\n      </header>\n\n      <main className=\"app-main\">\n        <Routes>\n          {/* Public routes */}\n          <Route path=\"/\" element={<Home />} />\n          <Route path=\"/search\" element={<SearchResults />} />\n          <Route path=\"/techniques/:slug\" element={<TechniquePage />} />\n\n          {/* Browse routes */}\n          <Route path=\"/creators\" element={<CreatorsBrowse />} />\n          <Route path=\"/creators/:slug\" element={<CreatorDetail />} />\n          <Route path=\"/topics\" element={<TopicsBrowse />} />\n\n          {/* Admin routes */}\n          <Route path=\"/admin/reports\" element={<AdminReports />} />\n          <Route path=\"/admin/pipeline\" element={<AdminPipeline />} />\n\n          {/* Info routes */}\n          <Route path=\"/about\" element={<About />} />\n\n          {/* Fallback */}\n          <Route path=\"*\" element={<Navigate to=\"/\" replace />} />\n        </Routes>\n      </main>\n\n      <AppFooter />\n    </div>\n  );\n}\n"}],"isError":false,"timestamp":1774936361232}}
{"type":"message","id":"3bd4eeec","parentId":"ea872833","timestamp":"2026-03-31T05:52:47.172Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — the backend already has `GET /topics/{category_slug}` returning techniques by category. Sub-topic links currently go to `/search?q=...&scope=topics`. The slice needs a dedicated sub-topic page at `/topics/{category}/{sub-topic}`. Let me check the data model and API client."},{"type":"toolCall","id":"toolu_01V57jk5eeVk8hQxfQf7zRFX","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/frontend/src/api/public-client.ts"}},{"type":"toolCall","id":"toolu_01DNxiTysErm4berrP3LafWa","name":"bash","arguments":{"command":"rg -n \"topic_tags|topic_category|TopicCategory|TopicSubTopic\" /home/aux/projects/content-to-kb-automator/backend/schemas.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":229,"cacheRead":66022,"cacheWrite":3899,"totalTokens":70151,"cost":{"input":0.000005,"output":0.005725,"cacheRead":0.033011,"cacheWrite":0.02436875,"total":0.06310974999999999}},"stopReason":"toolUse","timestamp":1774936361234}}
{"type":"message","id":"d01629ba","parentId":"3bd4eeec","timestamp":"2026-03-31T05:52:47.178Z","message":{"role":"toolResult","toolCallId":"toolu_01V57jk5eeVk8hQxfQf7zRFX","toolName":"read","content":[{"type":"text","text":"/**\n * Typed API client for Chrysopedia public endpoints.\n *\n * Mirrors backend schemas: SearchResponse, TechniquePageDetail, TopicCategory, CreatorBrowseItem.\n * Uses the same request<T> pattern as client.ts.\n */\n\n// ── Types ───────────────────────────────────────────────────────────────────\n\nexport interface SearchResultItem {\n  title: string;\n  slug: string;\n  type: string;\n  score: number;\n  summary: string;\n  creator_name: string;\n  creator_slug: string;\n  topic_category: string;\n  topic_tags: string[];\n  technique_page_slug?: string;\n}\n\nexport interface SearchResponse {\n  items: SearchResultItem[];\n  total: number;\n  query: string;\n  fallback_used: boolean;\n}\n\nexport interface KeyMomentSummary {\n  id: string;\n  title: string;\n  summary: string;\n  start_time: number;\n  end_time: number;\n  content_type: string;\n  plugins: string[] | null;\n  source_video_id: string;\n  video_filename: string;\n}\n\nexport interface CreatorInfo {\n  name: string;\n  slug: string;\n  genres: string[] | null;\n}\n\nexport interface RelatedLinkItem {\n  target_title: string;\n  target_slug: string;\n  relationship: string;\n}\n\nexport 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  id: string;\n  title: string;\n  slug: string;\n  topic_category: string;\n  topic_tags: string[] | null;\n  summary: string | null;\n  creator_id: string;\n  creator_name: string;\n  creator_slug: string;\n  source_quality: string | null;\n  view_count: number;\n  key_moment_count: number;\n  created_at: string;\n  updated_at: string;\n}\n\nexport interface TechniqueListResponse {\n  items: TechniqueListItem[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport interface TopicSubTopic {\n  name: string;\n  technique_count: number;\n  creator_count: number;\n}\n\nexport interface TopicCategory {\n  name: string;\n  description: string;\n  sub_topics: TopicSubTopic[];\n}\n\nexport interface CreatorBrowseItem {\n  id: string;\n  name: string;\n  slug: string;\n  genres: string[] | null;\n  folder_name: string;\n  view_count: number;\n  created_at: string;\n  updated_at: string;\n  technique_count: number;\n  video_count: number;\n}\n\nexport interface CreatorBrowseResponse {\n  items: CreatorBrowseItem[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport interface CreatorDetailResponse {\n  id: string;\n  name: string;\n  slug: string;\n  genres: string[] | null;\n  folder_name: string;\n  view_count: number;\n  created_at: string;\n  updated_at: string;\n  video_count: number;\n}\n\n// ── Helpers ──────────────────────────────────────────────────────────────────\n\nconst BASE = \"/api/v1\";\n\nclass ApiError extends Error {\n  constructor(\n    public status: number,\n    public detail: string,\n  ) {\n    super(`API ${status}: ${detail}`);\n    this.name = \"ApiError\";\n  }\n}\n\nasync function request<T>(url: string, init?: RequestInit): Promise<T> {\n  const res = await fetch(url, {\n    ...init,\n    headers: {\n      \"Content-Type\": \"application/json\",\n      ...init?.headers,\n    },\n  });\n\n  if (!res.ok) {\n    let detail = res.statusText;\n    try {\n      const body: unknown = await res.json();\n      if (typeof body === \"object\" && body !== null && \"detail\" in body) {\n        const d = (body as { detail: unknown }).detail;\n        detail = typeof d === \"string\" ? d : Array.isArray(d) ? d.map((e: any) => e.msg || JSON.stringify(e)).join(\"; \") : JSON.stringify(d);\n      }\n    } catch {\n      // body not JSON — keep statusText\n    }\n    throw new ApiError(res.status, detail);\n  }\n\n  return res.json() as Promise<T>;\n}\n\n// ── Search ───────────────────────────────────────────────────────────────────\n\nexport async function searchApi(\n  q: string,\n  scope?: string,\n  limit?: number,\n): Promise<SearchResponse> {\n  const qs = new URLSearchParams({ q });\n  if (scope) qs.set(\"scope\", scope);\n  if (limit !== undefined) qs.set(\"limit\", String(limit));\n  return request<SearchResponse>(`${BASE}/search?${qs.toString()}`);\n}\n\n// ── Techniques ───────────────────────────────────────────────────────────────\n\nexport interface TechniqueListParams {\n  limit?: number;\n  offset?: number;\n  category?: string;\n  creator_slug?: string;\n  sort?: string;\n}\n\nexport async function fetchTechniques(\n  params: TechniqueListParams = {},\n): Promise<TechniqueListResponse> {\n  const qs = new URLSearchParams();\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  if (params.category) qs.set(\"category\", params.category);\n  if (params.creator_slug) qs.set(\"creator_slug\", params.creator_slug);\n  if (params.sort) qs.set(\"sort\", params.sort);\n  const query = qs.toString();\n  return request<TechniqueListResponse>(\n    `${BASE}/techniques${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function fetchTechnique(\n  slug: string,\n): Promise<TechniquePageDetail> {\n  return request<TechniquePageDetail>(`${BASE}/techniques/${slug}`);\n}\n\nexport async function fetchTechniqueVersions(\n  slug: string,\n): Promise<TechniquePageVersionListResponse> {\n  return request<TechniquePageVersionListResponse>(\n    `${BASE}/techniques/${slug}/versions`,\n  );\n}\n\nexport async function fetchTechniqueVersion(\n  slug: string,\n  versionNumber: number,\n): Promise<TechniquePageVersionDetail> {\n  return request<TechniquePageVersionDetail>(\n    `${BASE}/techniques/${slug}/versions/${versionNumber}`,\n  );\n}\n\n// ── Topics ───────────────────────────────────────────────────────────────────\n\nexport async function fetchTopics(): Promise<TopicCategory[]> {\n  return request<TopicCategory[]>(`${BASE}/topics`);\n}\n\n// ── Creators ─────────────────────────────────────────────────────────────────\n\nexport interface CreatorListParams {\n  sort?: string;\n  genre?: string;\n  limit?: number;\n  offset?: number;\n}\n\nexport async function fetchCreators(\n  params: CreatorListParams = {},\n): Promise<CreatorBrowseResponse> {\n  const qs = new URLSearchParams();\n  if (params.sort) qs.set(\"sort\", params.sort);\n  if (params.genre) qs.set(\"genre\", params.genre);\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  const query = qs.toString();\n  return request<CreatorBrowseResponse>(\n    `${BASE}/creators${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function fetchCreator(\n  slug: string,\n): Promise<CreatorDetailResponse> {\n  return request<CreatorDetailResponse>(`${BASE}/creators/${slug}`);\n}\n\n\n// ── Content Reports ─────────────────────────────────────────────────────────\n\nexport interface ContentReportCreate {\n  content_type: string;\n  content_id?: string | null;\n  content_title?: string | null;\n  report_type: string;\n  description: string;\n  page_url?: string | null;\n}\n\nexport interface ContentReport {\n  id: string;\n  content_type: string;\n  content_id: string | null;\n  content_title: string | null;\n  report_type: string;\n  description: string;\n  status: string;\n  admin_notes: string | null;\n  page_url: string | null;\n  created_at: string;\n  resolved_at: string | null;\n}\n\nexport interface ContentReportListResponse {\n  items: ContentReport[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport async function submitReport(\n  body: ContentReportCreate,\n): Promise<ContentReport> {\n  return request<ContentReport>(`${BASE}/reports`, {\n    method: \"POST\",\n    body: JSON.stringify(body),\n  });\n}\n\nexport async function fetchReports(params: {\n  status?: string;\n  content_type?: string;\n  offset?: number;\n  limit?: number;\n} = {}): Promise<ContentReportListResponse> {\n  const qs = new URLSearchParams();\n  if (params.status) qs.set(\"status\", params.status);\n  if (params.content_type) qs.set(\"content_type\", params.content_type);\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  const query = qs.toString();\n  return request<ContentReportListResponse>(\n    `${BASE}/admin/reports${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function updateReport(\n  id: string,\n  body: { status?: string; admin_notes?: string },\n): Promise<ContentReport> {\n  return request<ContentReport>(`${BASE}/admin/reports/${id}`, {\n    method: \"PATCH\",\n    body: JSON.stringify(body),\n  });\n}\n\n\n// ── Pipeline Admin ──────────────────────────────────────────────────────────\n\nexport interface PipelineVideoItem {\n  id: string;\n  filename: string;\n  processing_status: string;\n  creator_name: string;\n  created_at: string | null;\n  updated_at: string | null;\n  event_count: number;\n  total_tokens_used: number;\n  last_event_at: string | null;\n}\n\nexport interface PipelineVideoListResponse {\n  items: PipelineVideoItem[];\n  total: number;\n}\n\nexport interface PipelineEvent {\n  id: string;\n  video_id: string;\n  stage: string;\n  event_type: string;\n  prompt_tokens: number | null;\n  completion_tokens: number | null;\n  total_tokens: number | null;\n  model: string | null;\n  duration_ms: number | null;\n  payload: Record<string, unknown> | null;\n  system_prompt_text: string | null;\n  user_prompt_text: string | null;\n  response_text: string | null;\n  created_at: string | null;\n}\n\nexport interface PipelineEventListResponse {\n  items: PipelineEvent[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport interface WorkerTask {\n  id: string;\n  name: string;\n  args: unknown[];\n  time_start: number | null;\n}\n\nexport interface WorkerInfo {\n  name: string;\n  active_tasks: WorkerTask[];\n  reserved_tasks: number;\n  total_completed: number;\n  uptime: string | null;\n  pool_size: number | null;\n}\n\nexport interface WorkerStatusResponse {\n  online: boolean;\n  workers: WorkerInfo[];\n  error?: string;\n}\n\nexport interface TriggerResponse {\n  status: string;\n  video_id: string;\n  current_processing_status?: string;\n}\n\nexport interface RevokeResponse {\n  status: string;\n  video_id: string;\n  tasks_revoked: number;\n}\n\nexport async function fetchPipelineVideos(): Promise<PipelineVideoListResponse> {\n  return request<PipelineVideoListResponse>(`${BASE}/admin/pipeline/videos`);\n}\n\nexport async function fetchPipelineEvents(\n  videoId: string,\n  params: { offset?: number; limit?: number; stage?: string; event_type?: string; order?: \"asc\" | \"desc\" } = {},\n): Promise<PipelineEventListResponse> {\n  const qs = new URLSearchParams();\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.stage) qs.set(\"stage\", params.stage);\n  if (params.event_type) qs.set(\"event_type\", params.event_type);\n  if (params.order) qs.set(\"order\", params.order);\n  const query = qs.toString();\n  return request<PipelineEventListResponse>(\n    `${BASE}/admin/pipeline/events/${videoId}${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function fetchWorkerStatus(): Promise<WorkerStatusResponse> {\n  return request<WorkerStatusResponse>(`${BASE}/admin/pipeline/worker-status`);\n}\n\nexport async function triggerPipeline(videoId: string): Promise<TriggerResponse> {\n  return request<TriggerResponse>(`${BASE}/admin/pipeline/trigger/${videoId}`, {\n    method: \"POST\",\n  });\n}\n\nexport async function revokePipeline(videoId: string): Promise<RevokeResponse> {\n  return request<RevokeResponse>(`${BASE}/admin/pipeline/revoke/${videoId}`, {\n    method: \"POST\",\n  });\n}\n\n// ── Debug Mode ──────────────────────────────────────────────────────────────\n\nexport interface DebugModeResponse {\n  debug_mode: boolean;\n}\n\nexport async function fetchDebugMode(): Promise<DebugModeResponse> {\n  return request<DebugModeResponse>(`${BASE}/admin/pipeline/debug-mode`);\n}\n\nexport async function setDebugMode(enabled: boolean): Promise<DebugModeResponse> {\n  return request<DebugModeResponse>(`${BASE}/admin/pipeline/debug-mode`, {\n    method: \"PUT\",\n    body: JSON.stringify({ debug_mode: enabled }),\n  });\n}\n"}],"isError":false,"timestamp":1774936367177}}
{"type":"message","id":"9b59aea6","parentId":"d01629ba","timestamp":"2026-03-31T05:52:47.182Z","message":{"role":"toolResult","toolCallId":"toolu_01DNxiTysErm4berrP3LafWa","toolName":"bash","content":[{"type":"text","text":"121:    topic_category: str\n122:    topic_tags: list[str] | None = None\n214:    topic_category: str = \"\"\n215:    topic_tags: list[str] = Field(default_factory=list)\n298:class TopicSubTopic(BaseModel):\n305:class TopicCategory(BaseModel):\n309:    sub_topics: list[TopicSubTopic] = Field(default_factory=list)\n"}],"isError":false,"timestamp":1774936367181}}
{"type":"message","id":"f9f1b552","parentId":"9b59aea6","timestamp":"2026-03-31T05:52:53.521Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the TechniquePage model, canonical_tags.yaml, and the existing CreatorDetail page (as a pattern for how detail pages are done)."},{"type":"toolCall","id":"toolu_0183q7fTBeCUnqq9voy1guvH","name":"bash","arguments":{"command":"rg -n \"topic_tags|topic_category\" /home/aux/projects/content-to-kb-automator/backend/models.py | head -15"}},{"type":"toolCall","id":"toolu_01Vp6zSPi1EM2JKNYunuUWNZ","name":"bash","arguments":{"command":"cat /home/aux/projects/content-to-kb-automator/config/canonical_tags.yaml | head -60"}},{"type":"toolCall","id":"toolu_016N46iwAXWiKdnjYRnxDBpG","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/frontend/src/pages/CreatorDetail.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":247,"cacheRead":69921,"cacheWrite":4434,"totalTokens":74603,"cost":{"input":0.000005,"output":0.006175,"cacheRead":0.0349605,"cacheWrite":0.0277125,"total":0.068853}},"stopReason":"toolUse","timestamp":1774936367181}}
{"type":"message","id":"870d07b5","parentId":"f9f1b552","timestamp":"2026-03-31T05:52:53.539Z","message":{"role":"toolResult","toolCallId":"toolu_0183q7fTBeCUnqq9voy1guvH","toolName":"bash","content":[{"type":"text","text":"214:    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n215:    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774936373539}}
{"type":"message","id":"937355c0","parentId":"870d07b5","timestamp":"2026-03-31T05:52:53.541Z","message":{"role":"toolResult","toolCallId":"toolu_01Vp6zSPi1EM2JKNYunuUWNZ","toolName":"bash","content":[{"type":"text","text":"# Canonical tags — 7 top-level production categories\n# Sub-topics grow organically during pipeline extraction\n# Order follows the natural production learning arc:\n# setup → theory → create sounds → structure → polish → deliver\ncategories:\n  - name: Workflow\n    description: Creative process, session management, productivity\n    sub_topics: [daw setup, templates, creative process, collaboration, file management, resampling]\n\n  - name: Music Theory\n    description: Harmony, scales, chord progressions, and musical structure\n    sub_topics: [harmony, chord progressions, scales, rhythm, time signatures, melody, counterpoint, song keys]\n\n  - name: Sound Design\n    description: Creating and shaping sounds from scratch or samples\n    sub_topics: [bass, drums, kick, snare, hi-hat, percussion, pads, leads, fx, foley, vocals, textures]\n\n  - name: Synthesis\n    description: Methods of generating sound\n    sub_topics: [fm, wavetable, granular, additive, subtractive, modular, physical modeling]\n\n  - name: Arrangement\n    description: Structuring a track from intro to outro\n    sub_topics: [song structure, transitions, tension, energy flow, breakdowns, drops]\n\n  - name: Mixing\n    description: Balancing, processing, and spatializing elements\n    sub_topics: [eq, compression, bus processing, reverb, delay, stereo imaging, gain staging, automation]\n\n  - name: Mastering\n    description: Final stage processing for release\n    sub_topics: [limiting, stereo width, loudness, format delivery, referencing]\n\n# Genre taxonomy (assigned to Creators, not techniques)\ngenres:\n  - Bass music\n  - Drum & bass\n  - Dubstep\n  - Halftime\n  - House\n  - Techno\n  - IDM\n  - Glitch\n  - Downtempo\n  - Neuro\n  - Ambient\n  - Experimental\n  - Cinematic\n"}],"isError":false,"timestamp":1774936373540}}
{"type":"message","id":"29dff7b3","parentId":"937355c0","timestamp":"2026-03-31T05:52:53.544Z","message":{"role":"toolResult","toolCallId":"toolu_016N46iwAXWiKdnjYRnxDBpG","toolName":"read","content":[{"type":"text","text":"/**\n * Creator detail page.\n *\n * Shows creator info (name, genres, video/technique counts) and lists\n * their technique pages with links. Handles loading and 404 states.\n */\n\nimport { useEffect, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n  fetchCreator,\n  fetchTechniques,\n  type CreatorDetailResponse,\n  type TechniqueListItem,\n} from \"../api/public-client\";\nimport CreatorAvatar from \"../components/CreatorAvatar\";\n\nexport default function CreatorDetail() {\n  const { slug } = useParams<{ slug: string }>();\n  const [creator, setCreator] = useState<CreatorDetailResponse | null>(null);\n  const [techniques, setTechniques] = useState<TechniqueListItem[]>([]);\n  const [loading, setLoading] = useState(true);\n  const [notFound, setNotFound] = useState(false);\n  const [error, setError] = useState<string | null>(null);\n\n  useEffect(() => {\n    if (!slug) return;\n\n    let cancelled = false;\n    setLoading(true);\n    setNotFound(false);\n    setError(null);\n\n    void (async () => {\n      try {\n        const [creatorData, techData] = await Promise.all([\n          fetchCreator(slug),\n          fetchTechniques({ creator_slug: slug, limit: 100 }),\n        ]);\n        if (!cancelled) {\n          setCreator(creatorData);\n          setTechniques(techData.items);\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 creator\",\n            );\n          }\n        }\n      } finally {\n        if (!cancelled) setLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, [slug]);\n\n  if (loading) {\n    return <div className=\"loading\">Loading creator…</div>;\n  }\n\n  if (notFound) {\n    return (\n      <div className=\"technique-404\">\n        <h2>Creator Not Found</h2>\n        <p>The creator \"{slug}\" doesn't exist.</p>\n        <Link to=\"/creators\" className=\"btn\">\n          Back to Creators\n        </Link>\n      </div>\n    );\n  }\n\n  if (error || !creator) {\n    return (\n      <div className=\"loading error-text\">\n        Error: {error ?? \"Unknown error\"}\n      </div>\n    );\n  }\n\n  return (\n    <div className=\"creator-detail\">\n      <Link to=\"/creators\" className=\"back-link\">\n        ← Creators\n      </Link>\n\n      {/* Header */}\n      <header className=\"creator-detail__header\">\n        <h1 className=\"creator-detail__name\"><CreatorAvatar creatorId={creator.id} name={creator.name} size={48} /> {creator.name}</h1>\n        <div className=\"creator-detail__meta\">\n          {creator.genres && creator.genres.length > 0 && (\n            <span className=\"creator-detail__genres\">\n              {creator.genres.map((g) => (\n                <span key={g} className=\"pill\">\n                  {g}\n                </span>\n              ))}\n            </span>\n          )}\n          <span className=\"creator-detail__stats\">\n            {creator.video_count} video{creator.video_count !== 1 ? \"s\" : \"\"}\n            {techniques.length > 0 && (\n              <>\n                <span className=\"queue-card__separator\">·</span>\n                {Object.entries(\n                  techniques.reduce<Record<string, number>>((acc, t) => {\n                    const cat = t.topic_category || \"Uncategorized\";\n                    acc[cat] = (acc[cat] || 0) + 1;\n                    return acc;\n                  }, {}),\n                )\n                  .sort(([, a], [, b]) => b - a)\n                  .map(([cat, count], i) => (\n                    <span key={cat} className=\"creator-detail__topic-stat\">\n                      {i > 0 && <span className=\"queue-card__separator\">·</span>}\n                      {cat}: {count}\n                    </span>\n                  ))}\n              </>\n            )}\n          </span>\n        </div>\n      </header>\n\n      {/* Technique pages */}\n      <section className=\"creator-techniques\">\n        <h2 className=\"creator-techniques__title\">\n          Techniques ({techniques.length})\n        </h2>\n        {techniques.length === 0 ? (\n          <div className=\"empty-state\">No techniques yet.</div>\n        ) : (\n          <div className=\"creator-techniques__list\">\n            {techniques.map((t) => (\n              <Link\n                key={t.id}\n                to={`/techniques/${t.slug}`}\n                className=\"creator-technique-card\"\n              >\n                <span className=\"creator-technique-card__title\">\n                  {t.title}\n                </span>\n                <span className=\"creator-technique-card__meta\">\n                  <span className=\"badge badge--category\">\n                    {t.topic_category}\n                  </span>\n                  {t.topic_tags && t.topic_tags.length > 0 && (\n                    <span className=\"creator-technique-card__tags\">\n                      {t.topic_tags.map((tag) => (\n                        <span key={tag} className=\"pill\">\n                          {tag}\n                        </span>\n                      ))}\n                    </span>\n                  )}\n                </span>\n                {t.summary && (\n                  <span className=\"creator-technique-card__summary\">\n                    {t.summary.length > 120\n                      ? `${t.summary.slice(0, 120)}…`\n                      : t.summary}\n                  </span>\n                )}\n              </Link>\n            ))}\n          </div>\n        )}\n      </section>\n    </div>\n  );\n}\n"}],"isError":false,"timestamp":1774936373540}}
{"type":"message","id":"1b86ac6f","parentId":"29dff7b3","timestamp":"2026-03-31T05:52:58.587Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check what the existing backend endpoint `GET /topics/{category_slug}` returns, and see what's needed for a sub-topic endpoint."},{"type":"toolCall","id":"toolu_01AADx8vL1kgKaCoktiproyV","name":"read","arguments":{"limit":60,"offset":100,"path":"/home/aux/projects/content-to-kb-automator/backend/schemas.py"}},{"type":"toolCall","id":"toolu_016mcVyYQTu9j7QivhUwAKNc","name":"bash","arguments":{"command":"rg -n \"PaginatedResponse\" /home/aux/projects/content-to-kb-automator/backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":204,"cacheRead":74355,"cacheWrite":2406,"totalTokens":76966,"cost":{"input":0.000005,"output":0.0051,"cacheRead":0.037177499999999995,"cacheWrite":0.0150375,"total":0.057319999999999996}},"stopReason":"toolUse","timestamp":1774936373541}}
{"type":"message","id":"e157d834","parentId":"1b86ac6f","timestamp":"2026-03-31T05:52:58.597Z","message":{"role":"toolResult","toolCallId":"toolu_01AADx8vL1kgKaCoktiproyV","toolName":"read","content":[{"type":"text","text":"    raw_transcript: str | None = None\n\nclass KeyMomentCreate(KeyMomentBase):\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n\nclass KeyMomentRead(KeyMomentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TechniquePage ────────────────────────────────────────────────────────────\n\nclass TechniquePageBase(BaseModel):\n    title: str\n    slug: str\n    topic_category: str\n    topic_tags: list[str] | None = None\n    summary: str | None = None\n    body_sections: dict | None = None\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\nclass TechniquePageCreate(TechniquePageBase):\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n\nclass TechniquePageRead(TechniquePageBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str = \"\"\n    creator_slug: str = \"\"\n    source_quality: str | None = None\n    view_count: int = 0\n    key_moment_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── RelatedTechniqueLink ─────────────────────────────────────────────────────\n\nclass RelatedTechniqueLinkBase(BaseModel):\n    source_page_id: uuid.UUID\n    target_page_id: uuid.UUID\n    relationship: str\n\nclass RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n    pass\n\nclass RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n[247 more lines in file. Use offset=160 to continue.]"}],"isError":false,"timestamp":1774936378597}}
{"type":"message","id":"2007f529","parentId":"e157d834","timestamp":"2026-03-31T05:52:58.603Z","message":{"role":"toolResult","toolCallId":"toolu_016mcVyYQTu9j7QivhUwAKNc","toolName":"bash","content":[{"type":"text","text":"194:class PaginatedResponse(BaseModel):\n"}],"isError":false,"timestamp":1774936378601}}
{"type":"message","id":"b6fc7d82","parentId":"2007f529","timestamp":"2026-03-31T05:53:03.126Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01QQVVAiK9WQmq7kywC2HozG","name":"read","arguments":{"limit":15,"offset":194,"path":"/home/aux/projects/content-to-kb-automator/backend/schemas.py"}},{"type":"toolCall","id":"toolu_016gG4ByKHtaHxcmRmExaBeX","name":"bash","arguments":{"command":"rg -n \"breadcrumb\" /home/aux/projects/content-to-kb-automator/frontend/src/ --type tsx --type ts 2>/dev/null; rg -rn \"breadcrumb\" /home/aux/projects/content-to-kb-automator/frontend/src/ 2>/dev/null | head -5"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":221,"cacheRead":76761,"cacheWrite":809,"totalTokens":77792,"cost":{"input":0.000005,"output":0.005525,"cacheRead":0.0383805,"cacheWrite":0.00505625,"total":0.048966749999999996}},"stopReason":"toolUse","timestamp":1774936378602}}
{"type":"message","id":"c6bce50e","parentId":"b6fc7d82","timestamp":"2026-03-31T05:53:03.134Z","message":{"role":"toolResult","toolCallId":"toolu_01QQVVAiK9WQmq7kywC2HozG","toolName":"read","content":[{"type":"text","text":"class PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\n# ── Search ───────────────────────────────────────────────────────────────────\n\nclass SearchResultItem(BaseModel):\n    \"\"\"A single search result.\"\"\"\n    title: str\n    slug: str = \"\"\n    technique_page_slug: str = \"\"\n\n[198 more lines in file. Use offset=209 to continue.]"}],"isError":false,"timestamp":1774936383133}}
{"type":"message","id":"6ae6e30a","parentId":"c6bce50e","timestamp":"2026-03-31T05:53:03.149Z","message":{"role":"toolResult","toolCallId":"toolu_016gG4ByKHtaHxcmRmExaBeX","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774936383147}}
{"type":"message","id":"0cdfa1e6","parentId":"6ae6e30a","timestamp":"2026-03-31T05:53:07.737Z","message":{"role":"assistant","content":[{"type":"text","text":"No breadcrumbs exist yet. Let me check the CSS file for existing topic styles and how the techniques router works for filtering."},{"type":"toolCall","id":"toolu_01CdFKwfK5V5rDGRex97LPa2","name":"bash","arguments":{"command":"rg -n \"topic_tags|sub.topic|sub_topic\" /home/aux/projects/content-to-kb-automator/backend/routers/techniques.py | head -15"}},{"type":"toolCall","id":"toolu_017APuXa2cvx6owVRi9ZQ9Ag","name":"bash","arguments":{"command":"rg -n \"topic\" /home/aux/projects/content-to-kb-automator/backend/routers/techniques.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":193,"cacheRead":77570,"cacheWrite":419,"totalTokens":78183,"cost":{"input":0.000005,"output":0.004825,"cacheRead":0.038785,"cacheWrite":0.00261875,"total":0.046233750000000004}},"stopReason":"toolUse","timestamp":1774936383147}}
{"type":"message","id":"e68f045f","parentId":"0cdfa1e6","timestamp":"2026-03-31T05:53:07.754Z","message":{"role":"toolResult","toolCallId":"toolu_01CdFKwfK5V5rDGRex97LPa2","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774936387754}}
{"type":"message","id":"36b5c680","parentId":"e68f045f","timestamp":"2026-03-31T05:53:07.762Z","message":{"role":"toolResult","toolCallId":"toolu_017APuXa2cvx6owVRi9ZQ9Ag","toolName":"bash","content":[{"type":"text","text":"53:        base_stmt = base_stmt.where(TechniquePage.topic_category == category)\n70:        stmt = stmt.where(TechniquePage.topic_category == category)\n"}],"isError":false,"timestamp":1774936387760}}
{"type":"message","id":"a6b2b982","parentId":"36b5c680","timestamp":"2026-03-31T05:53:11.340Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01A4G7goy6n2cbGppLgGmaVE","name":"read","arguments":{"limit":90,"path":"/home/aux/projects/content-to-kb-automator/backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":91,"cacheRead":77989,"cacheWrite":302,"totalTokens":78383,"cost":{"input":0.000005,"output":0.002275,"cacheRead":0.0389945,"cacheWrite":0.0018875,"total":0.043162}},"stopReason":"toolUse","timestamp":1774936387761}}
{"type":"message","id":"89188c16","parentId":"a6b2b982","timestamp":"2026-03-31T05:53:11.345Z","message":{"role":"toolResult","toolCallId":"toolu_01A4G7goy6n2cbGppLgGmaVE","toolName":"read","content":[{"type":"text","text":"\"\"\"Technique page endpoints — list and detail with eager-loaded relations.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import func, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, KeyMoment, RelatedTechniqueLink, SourceVideo, TechniquePage, TechniquePageVersion\nfrom schemas import (\n    CreatorInfo,\n    KeyMomentSummary,\n    PaginatedResponse,\n    RelatedLinkItem,\n    TechniquePageDetail,\n    TechniquePageRead,\n    TechniquePageVersionDetail,\n    TechniquePageVersionListResponse,\n    TechniquePageVersionSummary,\n)\n\nlogger = logging.getLogger(\"chrysopedia.techniques\")\n\nrouter = APIRouter(prefix=\"/techniques\", tags=[\"techniques\"])\n\n\n@router.get(\"\", response_model=PaginatedResponse)\nasync def list_techniques(\n    category: Annotated[str | None, Query()] = None,\n    creator_slug: Annotated[str | None, Query()] = None,\n    sort: Annotated[str, Query()] = \"recent\",\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> PaginatedResponse:\n    \"\"\"List technique pages with optional category/creator filtering.\"\"\"\n    # Correlated subquery for key moment count (same pattern as creators.py)\n    key_moment_count_sq = (\n        select(func.count())\n        .where(KeyMoment.technique_page_id == TechniquePage.id)\n        .correlate(TechniquePage)\n        .scalar_subquery()\n    )\n\n    # Build base query with filters\n    base_stmt = select(TechniquePage.id)\n    if category:\n        base_stmt = base_stmt.where(TechniquePage.topic_category == category)\n    if creator_slug:\n        base_stmt = base_stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    # Count total before pagination\n    count_stmt = select(func.count()).select_from(base_stmt.subquery())\n    count_result = await db.execute(count_stmt)\n    total = count_result.scalar() or 0\n\n    # Main query with subquery column\n    stmt = select(\n        TechniquePage,\n        key_moment_count_sq.label(\"key_moment_count\"),\n    )\n    if category:\n        stmt = stmt.where(TechniquePage.topic_category == category)\n    if creator_slug:\n        stmt = stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    stmt = stmt.options(selectinload(TechniquePage.creator))\n    if sort == \"random\":\n        stmt = stmt.order_by(func.random())\n    else:\n        stmt = stmt.order_by(TechniquePage.created_at.desc())\n    stmt = stmt.offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    rows = result.all()\n\n    items = []\n    for row in rows:\n        p = row[0]\n        km_count = row[1] or 0\n        item = TechniquePageRead.model_validate(p)\n        if p.creator:\n\n[153 more lines in file. Use offset=91 to continue.]"}],"isError":false,"timestamp":1774936391343}}
{"type":"message","id":"0d7a762f","parentId":"89188c16","timestamp":"2026-03-31T05:53:18.357Z","message":{"role":"assistant","content":[{"type":"text","text":"I have enough now. The techniques endpoint already supports `category` filtering, but not sub-topic (tag) filtering. The topics router has `GET /topics/{category_slug}` that filters by category but not by sub-topic tag. The key gap is a new backend endpoint for sub-topic filtering and a new frontend page.\n\nLet me check what CSS exists for reference and confirm there are no existing tests for topics."},{"type":"toolCall","id":"toolu_01JGLjUmXCbvvqDzsqqxg6jN","name":"bash","arguments":{"command":"find /home/aux/projects/content-to-kb-automator/backend/tests -name \"*topic*\" 2>/dev/null; rg -l \"topics\" /home/aux/projects/content-to-kb-automator/backend/tests/ 2>/dev/null | head -5"}},{"type":"toolCall","id":"toolu_01UKod7VBRAdpjxxLo9HfCRy","name":"bash","arguments":{"command":"rg -n \"fetchTopic\" /home/aux/projects/content-to-kb-automator/frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":281,"cacheRead":78291,"cacheWrite":1021,"totalTokens":79594,"cost":{"input":0.000005,"output":0.007025,"cacheRead":0.0391455,"cacheWrite":0.006381250000000001,"total":0.05255675}},"stopReason":"toolUse","timestamp":1774936391344}}
{"type":"message","id":"6db8a75a","parentId":"0d7a762f","timestamp":"2026-03-31T05:53:18.377Z","message":{"role":"toolResult","toolCallId":"toolu_01JGLjUmXCbvvqDzsqqxg6jN","toolName":"bash","content":[{"type":"text","text":"/home/aux/projects/content-to-kb-automator/backend/tests/test_public_api.py\n/home/aux/projects/content-to-kb-automator/backend/tests/test_search.py\n/home/aux/projects/content-to-kb-automator/backend/tests/test_pipeline.py\n"}],"isError":false,"timestamp":1774936398376}}
{"type":"message","id":"d22deb74","parentId":"6db8a75a","timestamp":"2026-03-31T05:53:18.380Z","message":{"role":"toolResult","toolCallId":"toolu_01UKod7VBRAdpjxxLo9HfCRy","toolName":"bash","content":[{"type":"text","text":"264:export async function fetchTopics(): Promise<TopicCategory[]> {\n"}],"isError":false,"timestamp":1774936398376}}
{"type":"message","id":"384f1af3","parentId":"d22deb74","timestamp":"2026-03-31T05:53:21.398Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01EaZjZTZzEqT2Rwo5qiricD","name":"bash","arguments":{"command":"rg -n \"topic\" /home/aux/projects/content-to-kb-automator/backend/tests/test_public_api.py | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":89,"cacheRead":79312,"cacheWrite":439,"totalTokens":79841,"cost":{"input":0.000005,"output":0.002225,"cacheRead":0.039656,"cacheWrite":0.00274375,"total":0.04462975}},"stopReason":"toolUse","timestamp":1774936398378}}
{"type":"message","id":"65067022","parentId":"384f1af3","timestamp":"2026-03-31T05:53:21.415Z","message":{"role":"toolResult","toolCallId":"toolu_01EaZjZTZzEqT2Rwo5qiricD","toolName":"bash","content":[{"type":"text","text":"2:techniques, topics, and enhanced creators.\n29:TOPICS_URL = \"/api/v1/topics\"\n86:            topic_category=\"Sound design\",\n87:            topic_tags=[\"bass\", \"textures\"],\n95:            topic_category=\"Synthesis\",\n96:            topic_tags=[\"granular\", \"pads\"],\n103:            topic_category=\"Synthesis\",\n104:            topic_tags=[\"fm\", \"bass\"],\n199:        assert item[\"topic_category\"] == \"Synthesis\"\n213:    assert data[\"topic_category\"] == \"Sound design\"\n"}],"isError":false,"timestamp":1774936401413}}
{"type":"message","id":"82a57a35","parentId":"65067022","timestamp":"2026-03-31T05:54:11.205Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have all the context I need. Let me write the research doc."},{"type":"toolCall","id":"toolu_012HaqPLCpAEX8BnxyCWshjD","name":"gsd_summary_save","arguments":{"artifact_type":"RESEARCH","content":"# S01 Research — Dedicated Sub-Topic Pages\n\n## Summary\n\nThis slice adds dedicated pages at `/topics/:category/:subtopic` that show techniques filtered by sub-topic tag, grouped by creator, with breadcrumb navigation. The work is straightforward — it follows established patterns already in the codebase (CreatorDetail page, techniques list endpoint). No new technology, no risky integration.\n\n## Recommendation\n\nFollow the existing CreatorDetail pattern: new backend endpoint → new API client function → new React page → route registration → update TopicsBrowse links. Breadcrumbs are a new UI pattern but trivially simple (just styled links).\n\n## Implementation Landscape\n\n### What Exists\n\n**Backend — `routers/topics.py`:**\n- `GET /topics` — returns full category hierarchy with sub-topic counts from `canonical_tags.yaml`\n- `GET /topics/{category_slug}` — returns techniques filtered by `topic_category` (slug→title case normalization). Returns `PaginatedResponse` with `TechniquePageRead` items including `creator_name` and `creator_slug`.\n- Missing: no endpoint to filter by **sub-topic tag** (i.e., filter where a specific tag appears in `topic_tags` ARRAY column)\n\n**Backend — `routers/techniques.py`:**\n- `GET /techniques` — supports `category` and `creator_slug` filters, but NOT tag-based filtering\n- The `topic_tags` column is `ARRAY(String)` on the `TechniquePage` model (line 215 in models.py)\n\n**Frontend — `TopicsBrowse.tsx`:**\n- Renders 7 category cards with expandable sub-topic lists\n- Sub-topic links currently go to `/search?q={subtopic_name}&scope=topics` — this is what needs to change to `/topics/{category}/{subtopic}`\n- Uses `fetchTopics()` API call which returns `TopicCategory[]`\n\n**Frontend — `App.tsx` routes:**\n- Has `/topics` route → `TopicsBrowse`\n- No `/topics/:category/:subtopic` route exists\n\n**Frontend — `public-client.ts`:**\n- Has `fetchTopics()` but no function to fetch techniques by sub-topic\n- `TechniqueListItem` and `TechniqueListResponse` types already defined and suitable for the sub-topic page\n\n**Schemas:**\n- `PaginatedResponse` is generic (items as `list`, total, offset, limit)\n- `TechniquePageRead` includes `creator_name`, `creator_slug` — perfect for grouping by creator in the UI\n\n**Canonical tags (`config/canonical_tags.yaml`):**\n- 7 categories with 6-12 sub-topics each\n- Sub-topic names are plain strings (e.g., \"bass\", \"compression\", \"reverb\")\n- Category names are title-case with spaces (e.g., \"Sound Design\", \"Music Theory\")\n\n### What Needs to Be Built\n\n#### Backend: New endpoint `GET /topics/{category_slug}/{subtopic_slug}`\n\nAdd to `routers/topics.py`. Filters `TechniquePage` where:\n- `topic_category` ilike matches the category slug (existing pattern from `get_topic_techniques`)\n- `topic_tags` array contains the sub-topic name (use PostgreSQL `ANY()` or SQLAlchemy `.any()` on the ARRAY column)\n\nReturn `PaginatedResponse` with `TechniquePageRead` items, eager-loading creator. Also return the category name and description for breadcrumb context — or let the frontend derive this from the slug (simpler, avoids a new schema).\n\nSlug normalization: `compression` → match against `topic_tags` case-insensitively. Sub-topic names in the YAML are lowercase, so a simple `.lower()` match works.\n\n**Key SQLAlchemy pattern for ARRAY contains:**\n```python\nfrom sqlalchemy import any_\n# WHERE 'compression' = ANY(topic_tags)\nstmt = select(TechniquePage).where(\n    func.lower(any_(TechniquePage.topic_tags)) == subtopic_name.lower()\n)\n# Or using .any() method on the column:\nstmt = select(TechniquePage).where(\n    TechniquePage.topic_tags.any(subtopic_name, operator=operators.ilike_op)\n)\n```\n\nThe simpler approach: since tags are stored lowercase and slugs will be lowercase, exact match with `.any()` should suffice.\n\n#### Frontend: New page `SubTopicPage.tsx`\n\nPattern: follow `CreatorDetail.tsx` structure.\n- URL params: `category` and `subtopic` from route\n- Fetch techniques via new API function\n- Group techniques by `creator_name` for display (the roadmap says \"techniques grouped by creator\")\n- Show breadcrumbs: Topics → {Category} → {Sub-topic}\n- Handle loading, error, empty states\n\n#### Frontend: Route registration\n\nAdd to `App.tsx`:\n```tsx\n<Route path=\"/topics/:category/:subtopic\" element={<SubTopicPage />} />\n```\nMust be placed before the `/topics` catch-all or use exact matching.\n\n#### Frontend: Update TopicsBrowse links\n\nChange sub-topic `<Link>` from:\n```tsx\nto={`/search?q=${encodeURIComponent(st.name)}&scope=topics`}\n```\nTo:\n```tsx\nto={`/topics/${catSlug(cat.name)}/${st.name.toLowerCase().replace(/\\s+/g, '-')}`}\n```\n\n#### Frontend: API client function\n\nAdd `fetchSubTopicTechniques(category: string, subtopic: string, params?)` to `public-client.ts`.\n\n### Natural Task Decomposition\n\n1. **Backend endpoint** — Add `GET /topics/{category_slug}/{subtopic_slug}` to `routers/topics.py`. Also add a helper endpoint or modify the existing `GET /topics` to return category metadata (name, description) for breadcrumb use. Add integration test.\n\n2. **Frontend page + routing** — Create `SubTopicPage.tsx`, add API client function, register route in `App.tsx`, update `TopicsBrowse.tsx` links. Add breadcrumb component (can be inline, doesn't need its own component file for this simple case).\n\n3. **CSS styling** — Add styles for the sub-topic page layout, breadcrumbs, and creator-grouped technique list. Follow existing card/list patterns.\n\nThese could be 2 tasks (backend, frontend) or 3 if CSS is separated. The backend task is a prerequisite since the frontend needs the endpoint.\n\n### Constraints and Edge Cases\n\n- **Empty sub-topics:** Some sub-topics may have 0 techniques. The page should show a friendly empty state, not a blank page.\n- **Slug normalization:** Category \"Sound Design\" → slug \"sound-design\". Sub-topic \"hi-hat\" already has a hyphen. URL: `/topics/sound-design/hi-hat`. Need consistent slug↔name conversion.\n- **Category breadcrumb link:** The breadcrumb \"Topics → Mixing → Compression\" — should \"Mixing\" link somewhere? Currently there's no dedicated category page (only the expanded card on TopicsBrowse). Options: (a) link to `/topics` with the category pre-expanded, (b) link to `/topics#mixing`, (c) don't make it a link. Option (c) is simplest and avoids scope creep.\n- **Grouping by creator:** The roadmap says \"techniques grouped by creator.\" This is pure frontend logic — group `TechniquePageRead[]` by `creator_name` and render sections.\n- **No sub-topic description exists** in the YAML — only names. The page header will show the sub-topic name and parent category but no description paragraph.\n\n### Verification Strategy\n\n- Backend: Integration test — create technique pages with known tags, hit `GET /topics/{cat}/{subtopic}`, verify filtered results and pagination\n- Frontend: Build succeeds with zero TypeScript errors (`npm run build`)\n- Browser: Navigate to `/topics/mixing/compression` and verify breadcrumbs, technique list grouped by creator, links work\n- TopicsBrowse: Sub-topic links now navigate to `/topics/{cat}/{subtopic}` instead of search\n\n### Skills\n\nNo additional skills needed. This is standard React + FastAPI CRUD with established patterns in the codebase.\n","milestone_id":"M010","slice_id":"S01"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":2104,"cacheRead":79751,"cacheWrite":238,"totalTokens":82094,"cost":{"input":0.000005,"output":0.0526,"cacheRead":0.0398755,"cacheWrite":0.0014875,"total":0.093968}},"stopReason":"toolUse","timestamp":1774936401414}}
{"type":"message","id":"8feae7a1","parentId":"82a57a35","timestamp":"2026-03-31T05:54:11.208Z","message":{"role":"toolResult","toolCallId":"toolu_012HaqPLCpAEX8BnxyCWshjD","toolName":"gsd_summary_save","content":[{"type":"text","text":"Saved RESEARCH artifact to milestones/M010/slices/S01/S01-RESEARCH.md"}],"details":{"operation":"save_summary","path":"milestones/M010/slices/S01/S01-RESEARCH.md","artifact_type":"RESEARCH"},"isError":false,"timestamp":1774936451207}}
{"type":"message","id":"331f6e55","parentId":"8feae7a1","timestamp":"2026-03-31T05:54:13.566Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S01 researched."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":11,"cacheRead":79989,"cacheWrite":2142,"totalTokens":82143,"cost":{"input":0.000005,"output":0.000275,"cacheRead":0.039994499999999995,"cacheWrite":0.0133875,"total":0.053662}},"stopReason":"stop","timestamp":1774936451207}}
