{"type":"thinking_level_change","id":"9eaf3286","parentId":null,"timestamp":"2026-03-30T06:42:41.885Z","thinkingLevel":"off"}
{"type":"model_change","id":"66682079","parentId":"9eaf3286","timestamp":"2026-03-30T06:42:41.886Z","provider":"anthropic","modelId":"claude-opus-4-6"}
{"type":"custom_message","customType":"gsd-auto","content":"You are executing GSD auto-mode.\n\n## Working Directory\n\nYour working directory is `/home/aux/projects/content-to-kb-automator`. All file reads, writes, and shell commands MUST operate relative to this directory. Do NOT `cd` to any other directory.\n\nAll relevant context has been preloaded below — start working immediately without re-reading these files.\n\n## Requirements Advanced\n\n- R004 — Review detail page loads with real data\n- R007 — Creators browse page loads with real data\n\n## Requirements Validated\n\nNone.\n\n## Requirements Invalidated or Re-scoped\n\nNone.\n\n## UNIT: Research Slice S03 (\"Technique Page Redesign + Video Source on Moments\") — Milestone M004\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M004/M004-ROADMAP.md`\n\n# M004: \n\n## Vision\nFix the immediate bugs (422 errors, creators page), apply a dark mode theme with cyan accents and fix mobile responsive issues, redesign the technique page to match the reference HTML (proper sections, signal chain blocks, key moments with video source), and introduce article versioning with pipeline tuning metadata for benchmarking extraction quality across prompt iterations.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Fix API Bugs — Review Detail 422 + Creators Page | low | — | ✅ | Review detail page and creators page load without errors using real pipeline data |\n| S02 | Dark Theme + Cyan Accents + Mobile Responsive Fix | medium | — | ✅ | App uses dark theme with cyan accents, no horizontal scroll on mobile |\n| S03 | Technique Page Redesign + Video Source on Moments | medium | S01 | ⬜ | Technique page matches reference HTML layout with video source on key moments, signal chain blocks, and proper section structure |\n| S04 | Article Versioning + Pipeline Tuning Metadata | high | S03 | ⬜ | Technique pages track version history with pipeline metadata; API returns version list |\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\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### Project Knowledge\nSource: `.gsd/KNOWLEDGE.md`\n\n# KNOWLEDGE\n\n## SQLAlchemy column names that shadow ORM functions\n\n**Context:** If a model has a column named `relationship` (or any other ORM function name like `query`, `metadata`), Python resolves the name to the column's `MappedColumn` descriptor within the class body. This causes `relationship(...)` calls below it to fail with \"MappedColumn object is not callable\".\n\n**Fix:** Import with an alias: `from sqlalchemy.orm import relationship as sa_relationship` and use `sa_relationship(...)` throughout. Alternatively, rename the database column, but the spec defines `relationship` as the column name so we preserved it.\n\n## Docker Compose variable interpolation and `:?` syntax\n\n**Context:** `${VAR:?error message}` in docker-compose.yml makes `docker compose config` fail when the variable is unset, even if `env_file: required: false` is used. The `required: false` only controls whether the `.env` file must exist — it does NOT provide defaults for variables referenced with `:?`.\n\n**Fix:** Use `${VAR:-default}` for variables that need a fallback, or ensure the variable is always set in the environment.\n\n## Host port 8000 conflict with kerf-engine\n\n**Context:** The kerf-engine Docker container (`kerf-engine-kerf-engine-1`) binds to `0.0.0.0:8000`. When testing the Chrysopedia API locally (outside Docker), curl requests to `localhost:8000` hit the kerf-engine container instead of the local uvicorn process, even when uvicorn binds to `127.0.0.1:8000`.\n\n**Fix:** Use an alternate port (e.g., 8001) for local testing. In Docker Compose, chrysopedia-api maps `127.0.0.1:8000:8000` which is fine because it goes through Docker's port forwarding, but will conflict with kerf-engine if both stacks run simultaneously. Consider changing one project's external port mapping.\n\n## asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns\n\n**Context:** SQLAlchemy models using `default=datetime.now(timezone.utc)` produce timezone-aware Python datetimes. When the PostgreSQL column type is `TIMESTAMP WITHOUT TIME ZONE` (the default), asyncpg raises `DataError: can't subtract offset-naive and offset-aware datetimes`. This only surfaces when running against a real PostgreSQL database — SQLite-based tests won't catch it.\n\n**Fix:** Use `datetime.now(timezone.utc).replace(tzinfo=None)` in the `_now()` helper, or change the column type to `TIMESTAMP WITH TIME ZONE`. We chose the former since the existing schema uses naive timestamps.\n\n## asyncpg NullPool required for pytest-asyncio integration tests\n\n**Context:** When using a session-scoped SQLAlchemy async engine with asyncpg in pytest-asyncio tests, the connection pool reuses connections across fixtures and test functions. This causes `InterfaceError: cannot perform operation: another operation is in progress` because the ASGI test client's session holds a connection while cleanup/verification fixtures try to use the same pool.\n\n**Fix:** Use `poolclass=NullPool` when creating the test engine. Each connection is created fresh and immediately closed, eliminating contention. Performance cost is negligible for test suites.\n\n## Testing Celery tasks that use sync SQLAlchemy: patch module-level globals\n\n**Context:** Pipeline stages in `pipeline/stages.py` create their own sync SQLAlchemy engine/session via module-level `_engine` and `_SessionLocal` globals (because Celery is sync, not async). Tests need to redirect these to the test database, but the engine is created lazily at module scope.\n\n**Fix:** Patch the module globals directly: `unittest.mock.patch.object(stages, '_engine', test_engine)` and `unittest.mock.patch.object(stages, '_SessionLocal', test_session_factory)`. This redirects all DB access in stage functions to the test database without modifying production code.\n\n## Lazy imports in FastAPI handlers defeat simple mock patching\n\n**Context:** When a FastAPI handler imports a function lazily (inside the function body) like `from pipeline.stages import run_pipeline`, patching `routers.ingest.run_pipeline` has no effect because the name is re-bound on every call from the source module.\n\n**Fix:** Patch at the source module: `unittest.mock.patch('pipeline.stages.run_pipeline')`. The lazy import will pick up the mock from the source module. This applies to any handler that uses lazy imports to avoid circular dependencies at module load time.\n\n## Separate async/sync clients for FastAPI vs Celery\n\n**Context:** The Chrysopedia backend has both sync Celery tasks (pipeline stages using `openai.OpenAI`, `QdrantClient`, sync SQLAlchemy) and async FastAPI handlers. Reusing sync clients in async handlers blocks the event loop; reusing async clients in Celery risks nested event loop errors.\n\n**Fix:** Create separate client classes: `SearchService` (async, for FastAPI request path) wraps `openai.AsyncOpenAI` and `AsyncQdrantClient`. The pipeline's `EmbeddingClient` and `QdrantManager` (sync, for Celery) remain untouched. This doubles the client code surface but eliminates the async/sync mismatch class of bugs entirely.\n\n## Mocking SearchService at the router dependency level for tests\n\n**Context:** The search endpoint creates a `SearchService` instance internally. Testing search results with real embedding API and Qdrant is fragile (external dependencies). Mocking individual `openai.AsyncOpenAI` or `AsyncQdrantClient` is complex.\n\n**Fix:** Mock `SearchService` at the router level by patching the service instance in the endpoint function. This gives full control over search results in tests without complex async mock setup. Used in `test_search.py` — mock returns canned `SearchResponse` dicts.\n\n## Frontend detail page without a single-resource GET endpoint\n\n**Context:** The review queue backend has `GET /review/queue` (list, paginated) but no `GET /review/moments/{id}` for fetching a single moment. The MomentDetail page needs to display one specific moment by ID from the URL params.\n\n**Fix:** MomentDetail fetches the full queue with `limit=500` and filters client-side by ID. This works for a single-admin tool with small datasets but would not scale. If the moment count grows significantly, add a dedicated `GET /review/moments/{id}` endpoint to the review router.\n\n## Stage 4 classification data stored in Redis (not DB columns)\n\n**Context:** The KeyMoment SQLAlchemy model doesn't have `topic_tags` or `topic_category` columns. Stage 4 classification needs somewhere to store per-moment tag assignments that stage 5 can read.\n\n**Fix:** Store classification results in Redis under key `chrysopedia:classification:{video_id}` with a 24-hour TTL. Stage 5 reads from Redis. This avoids schema migrations during initial pipeline development. The data is ephemeral — if Redis loses it, re-running stage 4 regenerates it.\n\n## QdrantManager uses random UUIDs for point IDs\n\n**Context:** `QdrantManager.upsert_technique_pages()` and `upsert_key_moments()` generate `uuid4()` for each Qdrant point. Re-indexing the same content creates duplicate points rather than updating existing ones.\n\n**Fix (deferred):** Use deterministic UUIDs based on content hash (e.g., `uuid5(NAMESPACE, f\"{technique_slug}:{section}\")`) so re-indexing overwrites the same points. This should be addressed before running the pipeline on production data to avoid index bloat.\n\n## Non-blocking side-effect pattern for external service calls in pipelines\n\n**Context:** Celery pipeline stages that call external services (embedding API, Qdrant) should not fail the entire pipeline if those services are down. Stage 6 (embed_and_index) is valuable but not critical — the pipeline's primary output (technique pages in PostgreSQL) doesn't depend on it.\n\n**Fix:** Use `max_retries=0` and a catch-all exception handler that logs WARNING and returns without raising. The pipeline orchestrator chains stage 6 after stage 5 but a failure there doesn't prevent `processing_status` from reaching its final state. This pattern applies to any \"best-effort enrichment\" stage in a pipeline.\n\n## Container healthcheck tool availability varies by base image\n\n**Context:** Qdrant (distroless-ish), Ollama, and nginx-alpine images don't have curl or wget. Standard healthcheck patterns like `curl -f http://localhost:PORT/health` fail silently inside these containers.\n\n**Fix by image:**\n- **Ollama:** Use `ollama list` (built-in CLI)\n- **Qdrant:** Use `bash -c 'echo > /dev/tcp/localhost/6333'` (bash is available)\n- **nginx-alpine:** Use `curl` (available) but NOT busybox `wget` (fails on localhost)\n- **Celery worker (same image as API):** Use `celery -A worker inspect ping` instead of HTTP healthcheck\n\n**Rule:** Always `docker exec <container> <healthcheck-cmd>` to verify the command works before deploying.\n\n## XPLTD domain setup flow\n\n**Context:** Adding a new external domain (like chrysopedia.com) to the XPLTD infrastructure requires three steps across two machines.\n\n**Flow:**\n1. **AdGuard on ub01 (10.0.0.10):** Add DNS rewrite via API: `POST /control/rewrite/add` with `{domain, answer: \"10.0.0.9\"}`\n2. **nginx on nuc01 (10.0.0.9):** Create server block in `/etc/nginx/sites-enabled/{domain}.conf` with `proxy_pass http://10.0.0.10:{port}`\n3. **Certbot on nuc01:** `sudo certbot --nginx -d {domain}` (requires external DNS A record or CNAME pointing to public IP first)\n\n**Note:** The AD DNS servers (10.0.0.15/.16) may already have CNAME entries for domains. Check `nslookup {domain} 10.0.0.15` before assuming setup is needed. ub01's resolv.conf uses AD DNS, not AdGuard, so `curl {domain}` from ub01 requires the AD DNS chain to resolve.\n\n## Alembic env.py sys.path needs both local and Docker paths\n\n**Context:** Alembic's env.py imports from `database` and `models`, which live in `backend/` locally but at `/app/` (the WORKDIR) inside Docker. The original `sys.path.insert(0, \"../backend\")` works locally but fails in Docker.\n\n**Fix:** Add both paths: `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \"..\", \"backend\"))` AND `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \"..\"))`. The second resolves to `/app/` inside Docker.\n\n---\n\n# {{scope}} — Research\n\n**Date:** {{date}}\n\n<!-- Required sections: Summary, Recommendation, Implementation Landscape.\n     All other sections: include only when they have real content.\n     For light research (straightforward work with known patterns),\n     the required sections alone are sufficient. -->\n\n## Summary\n\n{{summary — 2-3 paragraphs with primary recommendation}}\n\n## Recommendation\n\n{{whatApproachToTake_AND_why}}\n\n## Implementation Landscape\n\n<!-- This section is the primary input for the planner agent.\n     Be specific — file paths, function names, patterns to follow.\n     The planner uses this to scope tasks to files and decide build order. -->\n\n### Key Files\n\n- `{{filePath}}` — {{whatItDoesAndHowItRelates}}\n- `{{filePath}}` — {{whatNeedsToChange}}\n\n### Build Order\n\n{{whatToProveOrBuildFirst_AND_why — whatUnblocksDownstreamWork}}\n\n### Verification Approach\n\n{{howToConfirmTheSliceWorks — commands, tests, observable behaviors}}\n\n<!-- Sections below: include when applicable, omit entirely when not. -->\n\n## Don't Hand-Roll\n\n<!-- Include when existing libraries/tools solve problems the slice would otherwise reimplement. -->\n\n| Problem | Existing Solution | Why Use It |\n|---------|------------------|------------|\n| {{problem}} | {{solution}} | {{why}} |\n\n## Constraints\n\n<!-- Include when the codebase, runtime, or dependencies impose hard limits on approach. -->\n\n- {{hardConstraintFromCodebaseOrRuntime}}\n- {{constraintFromDependencies}}\n\n## Common Pitfalls\n\n<!-- Include when there are non-obvious failure modes worth flagging. -->\n\n- **{{pitfall}}** — {{howToAvoid}}\n- **{{pitfall}}** — {{howToAvoid}}\n\n## Open Risks\n\n<!-- Include when execution could hit unknowns that affect the plan. -->\n\n- {{riskThatCouldSurfaceDuringExecution}}\n\n## Skills Discovered\n\n<!-- Include when skill discovery found relevant skills. -->\n\n| Technology | Skill | Status |\n|------------|-------|--------|\n| {{technology}} | {{owner/repo@skill}} | {{installed / available / none found}} |\n\n## Sources\n\n<!-- Include when external docs, articles, or references informed the research. -->\n\n- {{whatWasLearned}} (source: [{{title}}]({{url}}))\n\n### Output Template: Research\nSource: `templates/research.md`\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#### S01 Summary\nSource: `.gsd/milestones/M004/slices/S01/S01-SUMMARY.md`\n\n---\nid: S01\nparent: M004\nmilestone: M004\nprovides:\n  - Working creators browse page\n  - Working review moment detail page\n  - GET /review/moments/{id} endpoint\nrequires:\n  []\naffects:\n  - S03\nkey_files:\n  - backend/routers/creators.py\n  - backend/routers/review.py\n  - frontend/src/api/client.ts\n  - frontend/src/pages/MomentDetail.tsx\nkey_decisions:\n  - Single-moment GET endpoint is the proper fix rather than just raising limits\npatterns_established:\n  - Single-resource GET endpoints preferred over client-side filtering of list responses\nobservability_surfaces:\n  - none\ndrill_down_paths:\n  - .gsd/milestones/M004/slices/S01/tasks/T01-SUMMARY.md\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T06:27:04.370Z\nblocker_discovered: false\n---\n\n# S01: Fix API Bugs — Review Detail 422 + Creators Page\n\n**Fixed creators page (paginated response) and review detail (single-moment endpoint) — both working with real pipeline data**\n\n## What Happened\n\nFixed both API bugs blocking the UI with real pipeline data. Creators endpoint now returns paginated response matching frontend types. Review detail page uses a new single-moment GET endpoint instead of fetching the entire queue. Both deployed and verified on ub01 with 72 real key moments from the pipeline.\n\n## Verification\n\nAll three endpoints return correct responses with real pipeline data\n\n## New Requirements Surfaced\n\nNone.\n\n## Deviations\n\nAdded single-moment endpoint rather than just raising the limit — better architectural fix.\n\n## Known Limitations\n\nNone.\n\n## Follow-ups\n\nNone.\n\n## Files Created/Modified\n\n- `backend/routers/creators.py` — Returns paginated {items,total,offset,limit} wrapper instead of plain array\n- `backend/routers/review.py` — Limit raised to 1000, added GET /moments/{moment_id} endpoint\n- `frontend/src/api/client.ts` — Added fetchMoment() function\n- `frontend/src/pages/MomentDetail.tsx` — Uses fetchMoment instead of full queue fetch\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: M004`, `slice_id: S03`, `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/M004/slices/S03/`. Do NOT mkdir.\n\n**You MUST call `gsd_summary_save` with the research content before finishing.**\n\nWhen done, say: \"Slice S03 researched.\"","display":false,"id":"9f217895","parentId":"66682079","timestamp":"2026-03-30T06:42:41.887Z"}
{"type":"message","id":"10d74157","parentId":"9f217895","timestamp":"2026-03-30T06:42:47.605Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll research the Technique Page Redesign slice. Let me understand what exists and what needs to change."},{"type":"toolCall","id":"toolu_01ShMJU6K2BhUMXhRDAA7cgx","name":"bash","arguments":{"command":"find frontend/src/pages -name \"Technique*\" -o -name \"technique*\" | head -20"}},{"type":"toolCall","id":"toolu_01LwEeAHGQVGZVHL2VeHrUXq","name":"bash","arguments":{"command":"find . -name \"*.html\" -path \"*/reference*\" -o -name \"*.html\" -path \"*/template*\" -o -name \"*.html\" -path \"*/design*\" | head -20"}},{"type":"toolCall","id":"toolu_01PSFEBDwajYfzAHAgMRo2zX","name":"bash","arguments":{"command":"find . -name \"*.html\" | head -30"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":230,"cacheRead":56783,"cacheWrite":9802,"totalTokens":66818,"cost":{"input":0.000015000000000000002,"output":0.00575,"cacheRead":0.0283915,"cacheWrite":0.061262500000000004,"total":0.095419}},"stopReason":"toolUse","timestamp":1774852961886}}
{"type":"message","id":"46a92e1e","parentId":"10d74157","timestamp":"2026-03-30T06:42:47.623Z","message":{"role":"toolResult","toolCallId":"toolu_01ShMJU6K2BhUMXhRDAA7cgx","toolName":"bash","content":[{"type":"text","text":"frontend/src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1774852967623}}
{"type":"message","id":"d59e508c","parentId":"46a92e1e","timestamp":"2026-03-30T06:42:47.731Z","message":{"role":"toolResult","toolCallId":"toolu_01LwEeAHGQVGZVHL2VeHrUXq","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774852967731}}
{"type":"message","id":"bbe4ffc1","parentId":"d59e508c","timestamp":"2026-03-30T06:42:47.735Z","message":{"role":"toolResult","toolCallId":"toolu_01PSFEBDwajYfzAHAgMRo2zX","toolName":"bash","content":[{"type":"text","text":"./frontend/index.html\n./frontend/dist/index.html\n"}],"isError":false,"timestamp":1774852967734}}
{"type":"message","id":"077683aa","parentId":"bbe4ffc1","timestamp":"2026-03-30T06:42:51.734Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me read the current technique page, the backend endpoint, and the models to understand the full picture."},{"type":"toolCall","id":"toolu_01X9MXU8adDaVaM7cvq94G1S","name":"read","arguments":{"path":"frontend/src/pages/TechniquePage.tsx"}},{"type":"toolCall","id":"toolu_0152b3mXsc5wMWdTCd3JFJFA","name":"bash","arguments":{"command":"rg -l \"technique\" backend/routers/ --ignore-case"}},{"type":"toolCall","id":"toolu_01CvJ9qEPReiKuSTMPTiPCNY","name":"bash","arguments":{"command":"rg -l \"TechniquePage\" backend/models/ --ignore-case"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":186,"cacheRead":66585,"cacheWrite":349,"totalTokens":67121,"cost":{"input":0.000005,"output":0.0046500000000000005,"cacheRead":0.033292499999999996,"cacheWrite":0.00218125,"total":0.04012875}},"stopReason":"toolUse","timestamp":1774852967734}}
{"type":"message","id":"fac3e017","parentId":"077683aa","timestamp":"2026-03-30T06:42:51.753Z","message":{"role":"toolResult","toolCallId":"toolu_01X9MXU8adDaVaM7cvq94G1S","toolName":"read","content":[{"type":"text","text":"/**\n * Technique page detail view.\n *\n * Fetches a single technique by slug. Renders:\n * - Header with title, category badge, tags, creator link, source quality\n * - Amber banner for unstructured (livestream-sourced) content\n * - Study guide prose from body_sections JSONB\n * - Key moments index\n * - Signal chains (if present)\n * - Plugins referenced (if present)\n * - Related techniques (if present)\n * - Loading and 404 states\n */\n\nimport { useEffect, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n  fetchTechnique,\n  type TechniquePageDetail as TechniqueDetail,\n} from \"../api/public-client\";\n\nfunction formatTime(seconds: number): string {\n  const m = Math.floor(seconds / 60);\n  const s = Math.floor(seconds % 60);\n  return `${m}:${s.toString().padStart(2, \"0\")}`;\n}\n\nexport default function TechniquePage() {\n  const { slug } = useParams<{ slug: string }>();\n  const [technique, setTechnique] = useState<TechniqueDetail | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [notFound, setNotFound] = useState(false);\n  const [error, setError] = useState<string | null>(null);\n\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 data = await fetchTechnique(slug);\n        if (!cancelled) setTechnique(data);\n      } catch (err) {\n        if (!cancelled) {\n          if (\n            err instanceof Error &&\n            err.message.includes(\"404\")\n          ) {\n            setNotFound(true);\n          } else {\n            setError(\n              err instanceof Error ? err.message : \"Failed to load technique\",\n            );\n          }\n        }\n      } finally {\n        if (!cancelled) setLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, [slug]);\n\n  if (loading) {\n    return <div className=\"loading\">Loading technique…</div>;\n  }\n\n  if (notFound) {\n    return (\n      <div className=\"technique-404\">\n        <h2>Technique Not Found</h2>\n        <p>The technique \"{slug}\" doesn't exist.</p>\n        <Link to=\"/\" className=\"btn\">\n          Back to Home\n        </Link>\n      </div>\n    );\n  }\n\n  if (error || !technique) {\n    return (\n      <div className=\"loading error-text\">\n        Error: {error ?? \"Unknown error\"}\n      </div>\n    );\n  }\n\n  return (\n    <article className=\"technique-page\">\n      {/* Back link */}\n      <Link to=\"/\" className=\"back-link\">\n        ← Back\n      </Link>\n\n      {/* Unstructured content warning */}\n      {technique.source_quality === \"unstructured\" && (\n        <div className=\"technique-banner technique-banner--amber\">\n          ⚠ This technique was sourced from a livestream and may have less\n          structured content.\n        </div>\n      )}\n\n      {/* Header */}\n      <header className=\"technique-header\">\n        <h1 className=\"technique-header__title\">{technique.title}</h1>\n        <div className=\"technique-header__meta\">\n          <span className=\"badge badge--category\">\n            {technique.topic_category}\n          </span>\n          {technique.topic_tags && technique.topic_tags.length > 0 && (\n            <span className=\"technique-header__tags\">\n              {technique.topic_tags.map((tag) => (\n                <span key={tag} className=\"pill\">\n                  {tag}\n                </span>\n              ))}\n            </span>\n          )}\n          {technique.creator_info && (\n            <Link\n              to={`/creators/${technique.creator_info.slug}`}\n              className=\"technique-header__creator\"\n            >\n              by {technique.creator_info.name}\n            </Link>\n          )}\n          {technique.source_quality && (\n            <span\n              className={`badge badge--quality badge--quality-${technique.source_quality}`}\n            >\n              {technique.source_quality}\n            </span>\n          )}\n        </div>\n      </header>\n\n      {/* Summary */}\n      {technique.summary && (\n        <section className=\"technique-summary\">\n          <p>{technique.summary}</p>\n        </section>\n      )}\n\n      {/* Study guide prose — body_sections */}\n      {technique.body_sections &&\n        Object.keys(technique.body_sections).length > 0 && (\n          <section className=\"technique-prose\">\n            {Object.entries(technique.body_sections).map(\n              ([sectionTitle, content]) => (\n                <div key={sectionTitle} className=\"technique-prose__section\">\n                  <h2>{sectionTitle}</h2>\n                  {typeof content === \"string\" ? (\n                    <p>{content}</p>\n                  ) : typeof content === \"object\" && content !== null ? (\n                    <pre className=\"technique-prose__json\">\n                      {JSON.stringify(content, null, 2)}\n                    </pre>\n                  ) : (\n                    <p>{String(content)}</p>\n                  )}\n                </div>\n              ),\n            )}\n          </section>\n        )}\n\n      {/* Key moments */}\n      {technique.key_moments.length > 0 && (\n        <section className=\"technique-moments\">\n          <h2>Key Moments</h2>\n          <ol className=\"technique-moments__list\">\n            {technique.key_moments.map((km) => (\n              <li key={km.id} className=\"technique-moment\">\n                <div className=\"technique-moment__header\">\n                  <span className=\"technique-moment__title\">{km.title}</span>\n                  <span className=\"technique-moment__time\">\n                    {formatTime(km.start_time)} – {formatTime(km.end_time)}\n                  </span>\n                  <span className=\"badge badge--content-type\">\n                    {km.content_type}\n                  </span>\n                </div>\n                <p className=\"technique-moment__summary\">{km.summary}</p>\n              </li>\n            ))}\n          </ol>\n        </section>\n      )}\n\n      {/* Signal chains */}\n      {technique.signal_chains &&\n        technique.signal_chains.length > 0 && (\n          <section className=\"technique-chains\">\n            <h2>Signal Chains</h2>\n            {technique.signal_chains.map((chain, i) => {\n              const chainObj = chain as Record<string, unknown>;\n              const chainName =\n                typeof chainObj[\"name\"] === \"string\"\n                  ? chainObj[\"name\"]\n                  : `Chain ${i + 1}`;\n              const steps = Array.isArray(chainObj[\"steps\"])\n                ? (chainObj[\"steps\"] as string[])\n                : [];\n              return (\n                <div key={i} className=\"technique-chain\">\n                  <h3>{chainName}</h3>\n                  {steps.length > 0 && (\n                    <ol className=\"technique-chain__steps\">\n                      {steps.map((step, j) => (\n                        <li key={j}>{String(step)}</li>\n                      ))}\n                    </ol>\n                  )}\n                </div>\n              );\n            })}\n          </section>\n        )}\n\n      {/* Plugins */}\n      {technique.plugins && technique.plugins.length > 0 && (\n        <section className=\"technique-plugins\">\n          <h2>Plugins Referenced</h2>\n          <div className=\"pill-list\">\n            {technique.plugins.map((plugin) => (\n              <span key={plugin} className=\"pill pill--plugin\">\n                {plugin}\n              </span>\n            ))}\n          </div>\n        </section>\n      )}\n\n      {/* Related techniques */}\n      {technique.related_links.length > 0 && (\n        <section className=\"technique-related\">\n          <h2>Related Techniques</h2>\n          <ul className=\"technique-related__list\">\n            {technique.related_links.map((link) => (\n              <li key={link.target_slug}>\n                <Link to={`/techniques/${link.target_slug}`}>\n                  {link.target_title}\n                </Link>\n                <span className=\"technique-related__rel\">\n                  ({link.relationship})\n                </span>\n              </li>\n            ))}\n          </ul>\n        </section>\n      )}\n    </article>\n  );\n}\n"}],"isError":false,"timestamp":1774852971752}}
{"type":"message","id":"ca47ae52","parentId":"fac3e017","timestamp":"2026-03-30T06:42:51.832Z","message":{"role":"toolResult","toolCallId":"toolu_0152b3mXsc5wMWdTCd3JFJFA","toolName":"bash","content":[{"type":"text","text":"backend/routers/review.py\nbackend/routers/topics.py\nbackend/routers/techniques.py\nbackend/routers/creators.py\n"}],"isError":false,"timestamp":1774852971832}}
{"type":"message","id":"6ad2a048","parentId":"ca47ae52","timestamp":"2026-03-30T06:42:51.834Z","message":{"role":"toolResult","toolCallId":"toolu_01CvJ9qEPReiKuSTMPTiPCNY","toolName":"bash","content":[{"type":"text","text":"rg: backend/models/: No such file or directory (os error 2)\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774852971832}}
{"type":"message","id":"8fd48dab","parentId":"6ad2a048","timestamp":"2026-03-30T06:42:59.978Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013G8tJjHvzkW1RELu18kmM1","name":"read","arguments":{"path":"backend/routers/techniques.py"}},{"type":"toolCall","id":"toolu_01PKJvWxrs2pQrfxrgJhqQ7f","name":"bash","arguments":{"command":"rg -l \"TechniquePage\\|KeyMoment\\|SourceVideo\" backend/ --include \"*.py\" | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":125,"cacheRead":66934,"cacheWrite":2546,"totalTokens":69606,"cost":{"input":0.000005,"output":0.003125,"cacheRead":0.033467,"cacheWrite":0.0159125,"total":0.0525095}},"stopReason":"toolUse","timestamp":1774852971833}}
{"type":"message","id":"1b65e112","parentId":"8fd48dab","timestamp":"2026-03-30T06:42:59.988Z","message":{"role":"toolResult","toolCallId":"toolu_013G8tJjHvzkW1RELu18kmM1","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 select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, KeyMoment, RelatedTechniqueLink, TechniquePage\nfrom schemas import (\n    CreatorInfo,\n    KeyMomentSummary,\n    PaginatedResponse,\n    RelatedLinkItem,\n    TechniquePageDetail,\n    TechniquePageRead,\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    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    stmt = select(TechniquePage)\n\n    if category:\n        stmt = stmt.where(TechniquePage.topic_category == category)\n\n    if creator_slug:\n        # Join to Creator to filter by slug\n        stmt = stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    # Count total before pagination\n    from sqlalchemy import func\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.order_by(TechniquePage.created_at.desc()).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    pages = result.scalars().all()\n\n    return PaginatedResponse(\n        items=[TechniquePageRead.model_validate(p) for p in pages],\n        total=total,\n        offset=offset,\n        limit=limit,\n    )\n\n\n@router.get(\"/{slug}\", response_model=TechniquePageDetail)\nasync def get_technique(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> TechniquePageDetail:\n    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n    stmt = (\n        select(TechniquePage)\n        .where(TechniquePage.slug == slug)\n        .options(\n            selectinload(TechniquePage.key_moments),\n            selectinload(TechniquePage.creator),\n            selectinload(TechniquePage.outgoing_links).selectinload(\n                RelatedTechniqueLink.target_page\n            ),\n            selectinload(TechniquePage.incoming_links).selectinload(\n                RelatedTechniqueLink.source_page\n            ),\n        )\n    )\n    result = await db.execute(stmt)\n    page = result.scalar_one_or_none()\n\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = [KeyMomentSummary.model_validate(km) for km in key_moments]\n\n    # Build creator info\n    creator_info = None\n    if page.creator:\n        creator_info = CreatorInfo(\n            name=page.creator.name,\n            slug=page.creator.slug,\n            genres=page.creator.genres,\n        )\n\n    # Build related links (outgoing + incoming)\n    related_links: list[RelatedLinkItem] = []\n    for link in page.outgoing_links:\n        if link.target_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.target_page.title,\n                    target_slug=link.target_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n    for link in page.incoming_links:\n        if link.source_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.source_page.title,\n                    target_slug=link.source_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n\n    base = TechniquePageRead.model_validate(page)\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n    )\n"}],"isError":false,"timestamp":1774852979987}}
{"type":"message","id":"dea9a8dd","parentId":"1b65e112","timestamp":"2026-03-30T06:42:59.994Z","message":{"role":"toolResult","toolCallId":"toolu_01PKJvWxrs2pQrfxrgJhqQ7f","toolName":"bash","content":[{"type":"text","text":"rg: unrecognized flag --include\n\nsimilar flags that are available: --include-zero\n"}],"isError":false,"timestamp":1774852979993}}
{"type":"message","id":"9b3c35a9","parentId":"dea9a8dd","timestamp":"2026-03-30T06:43:03.530Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01EhxY4K8gdgdYT9NV1BjsYR","name":"bash","arguments":{"command":"rg -l \"TechniquePage\\|KeyMoment\\|SourceVideo\" backend/ -g \"*.py\" | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":84,"cacheRead":69480,"cacheWrite":1495,"totalTokens":71060,"cost":{"input":0.000005,"output":0.0021000000000000003,"cacheRead":0.03474,"cacheWrite":0.00934375,"total":0.04618875}},"stopReason":"toolUse","timestamp":1774852979993}}
{"type":"message","id":"c431d6a8","parentId":"9b3c35a9","timestamp":"2026-03-30T06:43:03.546Z","message":{"role":"toolResult","toolCallId":"toolu_01EhxY4K8gdgdYT9NV1BjsYR","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774852983544}}
{"type":"message","id":"7914c8eb","parentId":"c431d6a8","timestamp":"2026-03-30T06:43:06.101Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01F6WGazWkbgvpZn2tkNSYNj","name":"bash","arguments":{"command":"rg -l \"TechniquePage\" backend/ | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":67,"cacheRead":70975,"cacheWrite":98,"totalTokens":71141,"cost":{"input":0.000005,"output":0.001675,"cacheRead":0.0354875,"cacheWrite":0.0006125,"total":0.03778}},"stopReason":"toolUse","timestamp":1774852983545}}
{"type":"message","id":"bda66f17","parentId":"7914c8eb","timestamp":"2026-03-30T06:43:06.121Z","message":{"role":"toolResult","toolCallId":"toolu_01F6WGazWkbgvpZn2tkNSYNj","toolName":"bash","content":[{"type":"text","text":"backend/search_service.py\nbackend/pipeline/stages.py\nbackend/schemas.py\nbackend/models.py\nbackend/routers/creators.py\nbackend/tests/test_public_api.py\nbackend/tests/test_search.py\nbackend/routers/topics.py\nbackend/routers/techniques.py\nbackend/tests/test_pipeline.py\n"}],"isError":false,"timestamp":1774852986120}}
{"type":"message","id":"a9e83054","parentId":"bda66f17","timestamp":"2026-03-30T06:43:08.910Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01DvHyd3ASs1teR2fFeWPtyP","name":"read","arguments":{"path":"backend/models.py"}},{"type":"toolCall","id":"toolu_01TC2oSJFgTNgsW2jbJnJCi4","name":"read","arguments":{"path":"backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":93,"cacheRead":71073,"cacheWrite":166,"totalTokens":71333,"cost":{"input":0.000005,"output":0.0023250000000000002,"cacheRead":0.0355365,"cacheWrite":0.0010375,"total":0.038903999999999994}},"stopReason":"toolUse","timestamp":1774852986120}}
{"type":"message","id":"53c9e0f6","parentId":"a9e83054","timestamp":"2026-03-30T06:43:08.913Z","message":{"role":"toolResult","toolCallId":"toolu_01DvHyd3ASs1teR2fFeWPtyP","toolName":"read","content":[{"type":"text","text":"\"\"\"SQLAlchemy ORM models for the Chrysopedia knowledge base.\n\nSeven entities matching chrysopedia-spec.md §6.1:\n  Creator, SourceVideo, TranscriptSegment, KeyMoment,\n  TechniquePage, RelatedTechniqueLink, Tag\n\"\"\"\n\nfrom __future__ import annotations\n\nimport enum\nimport uuid\nfrom datetime import datetime, timezone\n\nfrom sqlalchemy import (\n    Enum,\n    Float,\n    ForeignKey,\n    Integer,\n    String,\n    Text,\n    UniqueConstraint,\n    func,\n)\nfrom sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID\nfrom sqlalchemy.orm import Mapped, mapped_column\nfrom sqlalchemy.orm import relationship as sa_relationship\n\nfrom database import Base\n\n\n# ── Enums ────────────────────────────────────────────────────────────────────\n\nclass ContentType(str, enum.Enum):\n    \"\"\"Source video content type.\"\"\"\n    tutorial = \"tutorial\"\n    livestream = \"livestream\"\n    breakdown = \"breakdown\"\n    short_form = \"short_form\"\n\n\nclass ProcessingStatus(str, enum.Enum):\n    \"\"\"Pipeline processing status for a source video.\"\"\"\n    pending = \"pending\"\n    transcribed = \"transcribed\"\n    extracted = \"extracted\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass KeyMomentContentType(str, enum.Enum):\n    \"\"\"Content classification for a key moment.\"\"\"\n    technique = \"technique\"\n    settings = \"settings\"\n    reasoning = \"reasoning\"\n    workflow = \"workflow\"\n\n\nclass ReviewStatus(str, enum.Enum):\n    \"\"\"Human review status for key moments.\"\"\"\n    pending = \"pending\"\n    approved = \"approved\"\n    edited = \"edited\"\n    rejected = \"rejected\"\n\n\nclass SourceQuality(str, enum.Enum):\n    \"\"\"Derived source quality for technique pages.\"\"\"\n    structured = \"structured\"\n    mixed = \"mixed\"\n    unstructured = \"unstructured\"\n\n\nclass PageReviewStatus(str, enum.Enum):\n    \"\"\"Review lifecycle for technique pages.\"\"\"\n    draft = \"draft\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass RelationshipType(str, enum.Enum):\n    \"\"\"Types of links between technique pages.\"\"\"\n    same_technique_other_creator = \"same_technique_other_creator\"\n    same_creator_adjacent = \"same_creator_adjacent\"\n    general_cross_reference = \"general_cross_reference\"\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\ndef _uuid_pk() -> Mapped[uuid.UUID]:\n    return mapped_column(\n        UUID(as_uuid=True),\n        primary_key=True,\n        default=uuid.uuid4,\n        server_default=func.gen_random_uuid(),\n    )\n\n\ndef _now() -> datetime:\n    \"\"\"Return current UTC time as a naive datetime (no tzinfo).\n\n    PostgreSQL TIMESTAMP WITHOUT TIME ZONE columns require naive datetimes.\n    asyncpg rejects timezone-aware datetimes for such columns.\n    \"\"\"\n    return datetime.now(timezone.utc).replace(tzinfo=None)\n\n\n# ── Models ───────────────────────────────────────────────────────────────────\n\nclass Creator(Base):\n    __tablename__ = \"creators\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), nullable=False)\n    slug: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    genres: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    folder_name: Mapped[str] = mapped_column(String(255), nullable=False)\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    videos: Mapped[list[SourceVideo]] = sa_relationship(back_populates=\"creator\")\n    technique_pages: Mapped[list[TechniquePage]] = sa_relationship(back_populates=\"creator\")\n\n\nclass SourceVideo(Base):\n    __tablename__ = \"source_videos\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    filename: Mapped[str] = mapped_column(String(500), nullable=False)\n    file_path: Mapped[str] = mapped_column(String(1000), nullable=False)\n    duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True)\n    content_type: Mapped[ContentType] = mapped_column(\n        Enum(ContentType, name=\"content_type\", create_constraint=True),\n        nullable=False,\n    )\n    transcript_path: Mapped[str | None] = mapped_column(String(1000), nullable=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.pending,\n        server_default=\"pending\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"videos\")\n    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n\n\nclass TranscriptSegment(Base):\n    __tablename__ = \"transcript_segments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    text: Mapped[str] = mapped_column(Text, nullable=False)\n    segment_index: Mapped[int] = mapped_column(Integer, nullable=False)\n    topic_label: Mapped[str | None] = mapped_column(String(255), nullable=True)\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n\n\nclass KeyMoment(Base):\n    __tablename__ = \"key_moments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    technique_page_id: Mapped[uuid.UUID | None] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"SET NULL\"), nullable=True\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    summary: Mapped[str] = mapped_column(Text, nullable=False)\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    content_type: Mapped[KeyMomentContentType] = mapped_column(\n        Enum(KeyMomentContentType, name=\"key_moment_content_type\", create_constraint=True),\n        nullable=False,\n    )\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    review_status: Mapped[ReviewStatus] = mapped_column(\n        Enum(ReviewStatus, name=\"review_status\", create_constraint=True),\n        default=ReviewStatus.pending,\n        server_default=\"pending\",\n    )\n    raw_transcript: Mapped[str | None] = mapped_column(Text, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n        back_populates=\"key_moments\", foreign_keys=[technique_page_id]\n    )\n\n\nclass TechniquePage(Base):\n    __tablename__ = \"technique_pages\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    slug: Mapped[str] = mapped_column(String(500), unique=True, nullable=False)\n    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    summary: Mapped[str | None] = mapped_column(Text, nullable=True)\n    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    signal_chains: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    source_quality: Mapped[SourceQuality | None] = mapped_column(\n        Enum(SourceQuality, name=\"source_quality\", create_constraint=True),\n        nullable=True,\n    )\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    review_status: Mapped[PageReviewStatus] = mapped_column(\n        Enum(PageReviewStatus, name=\"page_review_status\", create_constraint=True),\n        default=PageReviewStatus.draft,\n        server_default=\"draft\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n        back_populates=\"technique_page\", foreign_keys=[KeyMoment.technique_page_id]\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass Tag(Base):\n    __tablename__ = \"tags\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    category: Mapped[str] = mapped_column(String(255), nullable=False)\n    aliases: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774852988912}}
{"type":"message","id":"79638cdd","parentId":"53c9e0f6","timestamp":"2026-03-30T06:43:08.915Z","message":{"role":"toolResult","toolCallId":"toolu_01TC2oSJFgTNgsW2jbJnJCi4","toolName":"read","content":[{"type":"text","text":"\"\"\"Pydantic schemas for the Chrysopedia API.\n\nRead-only schemas for list/detail endpoints and input schemas for creation.\nEach schema mirrors the corresponding SQLAlchemy model in models.py.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\nfrom datetime import datetime\n\nfrom pydantic import BaseModel, ConfigDict, Field\n\n\n# ── Health ───────────────────────────────────────────────────────────────────\n\nclass HealthResponse(BaseModel):\n    status: str = \"ok\"\n    service: str = \"chrysopedia-api\"\n    version: str = \"0.1.0\"\n    database: str = \"unknown\"\n\n\n# ── Creator ──────────────────────────────────────────────────────────────────\n\nclass CreatorBase(BaseModel):\n    name: str\n    slug: str\n    genres: list[str] | None = None\n    folder_name: str\n\nclass CreatorCreate(CreatorBase):\n    pass\n\nclass CreatorRead(CreatorBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    view_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\nclass CreatorDetail(CreatorRead):\n    \"\"\"Creator with nested video count.\"\"\"\n    video_count: int = 0\n\n\n# ── SourceVideo ──────────────────────────────────────────────────────────────\n\nclass SourceVideoBase(BaseModel):\n    filename: str\n    file_path: str\n    duration_seconds: int | None = None\n    content_type: str\n    transcript_path: str | None = None\n\nclass SourceVideoCreate(SourceVideoBase):\n    creator_id: uuid.UUID\n\nclass SourceVideoRead(SourceVideoBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    processing_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TranscriptSegment ────────────────────────────────────────────────────────\n\nclass TranscriptSegmentBase(BaseModel):\n    start_time: float\n    end_time: float\n    text: str\n    segment_index: int\n    topic_label: str | None = None\n\nclass TranscriptSegmentCreate(TranscriptSegmentBase):\n    source_video_id: uuid.UUID\n\nclass TranscriptSegmentRead(TranscriptSegmentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n\n\n# ── KeyMoment ────────────────────────────────────────────────────────────────\n\nclass KeyMomentBase(BaseModel):\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    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    review_status: str = \"pending\"\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    source_quality: str | None = None\n    view_count: int = 0\n    review_status: str = \"draft\"\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\n# ── Tag ──────────────────────────────────────────────────────────────────────\n\nclass TagBase(BaseModel):\n    name: str\n    category: str\n    aliases: list[str] | None = None\n\nclass TagCreate(TagBase):\n    pass\n\nclass TagRead(TagBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Transcript Ingestion ─────────────────────────────────────────────────────\n\nclass TranscriptIngestResponse(BaseModel):\n    \"\"\"Response returned after successfully ingesting a transcript.\"\"\"\n    video_id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str\n    filename: str\n    segments_stored: int\n    processing_status: str\n    is_reupload: bool\n\n\n# ── Pagination wrapper ───────────────────────────────────────────────────────\n\nclass 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# ── Review Queue ─────────────────────────────────────────────────────────────\n\nclass ReviewQueueItem(KeyMomentRead):\n    \"\"\"Key moment enriched with source video and creator info for review UI.\"\"\"\n    video_filename: str\n    creator_name: str\n\n\nclass ReviewQueueResponse(BaseModel):\n    \"\"\"Paginated response for the review queue.\"\"\"\n    items: list[ReviewQueueItem] = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\nclass ReviewStatsResponse(BaseModel):\n    \"\"\"Counts of key moments grouped by review status.\"\"\"\n    pending: int = 0\n    approved: int = 0\n    edited: int = 0\n    rejected: int = 0\n\n\nclass MomentEditRequest(BaseModel):\n    \"\"\"Editable fields for a key moment.\"\"\"\n    title: str | None = None\n    summary: str | None = None\n    start_time: float | None = None\n    end_time: float | None = None\n    content_type: str | None = None\n    plugins: list[str] | None = None\n\n\nclass MomentSplitRequest(BaseModel):\n    \"\"\"Request to split a moment at a given timestamp.\"\"\"\n    split_time: float\n\n\nclass MomentMergeRequest(BaseModel):\n    \"\"\"Request to merge two moments.\"\"\"\n    target_moment_id: uuid.UUID\n\n\nclass ReviewModeResponse(BaseModel):\n    \"\"\"Current review mode state.\"\"\"\n    review_mode: bool\n\n\nclass ReviewModeUpdate(BaseModel):\n    \"\"\"Request to update the review mode.\"\"\"\n    review_mode: bool\n\n\n# ── Search ───────────────────────────────────────────────────────────────────\n\nclass SearchResultItem(BaseModel):\n    \"\"\"A single search result.\"\"\"\n    title: str\n    slug: str = \"\"\n    type: str = \"\"\n    score: float = 0.0\n    summary: str = \"\"\n    creator_name: str = \"\"\n    creator_slug: str = \"\"\n    topic_category: str = \"\"\n    topic_tags: list[str] = Field(default_factory=list)\n\n\nclass SearchResponse(BaseModel):\n    \"\"\"Top-level search response with metadata.\"\"\"\n    items: list[SearchResultItem] = Field(default_factory=list)\n    total: int = 0\n    query: str = \"\"\n    fallback_used: bool = False\n\n\n# ── Technique Page Detail ────────────────────────────────────────────────────\n\nclass KeyMomentSummary(BaseModel):\n    \"\"\"Lightweight key moment for technique page detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n\n\nclass RelatedLinkItem(BaseModel):\n    \"\"\"A related technique link with target info.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    target_title: str = \"\"\n    target_slug: str = \"\"\n    relationship: str = \"\"\n\n\nclass CreatorInfo(BaseModel):\n    \"\"\"Minimal creator info embedded in technique detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    name: str\n    slug: str\n    genres: list[str] | None = None\n\n\nclass TechniquePageDetail(TechniquePageRead):\n    \"\"\"Technique page with nested key moments, creator, and related links.\"\"\"\n    key_moments: list[KeyMomentSummary] = Field(default_factory=list)\n    creator_info: CreatorInfo | None = None\n    related_links: list[RelatedLinkItem] = Field(default_factory=list)\n\n\n# ── Topics ───────────────────────────────────────────────────────────────────\n\nclass TopicSubTopic(BaseModel):\n    \"\"\"A sub-topic with aggregated counts.\"\"\"\n    name: str\n    technique_count: int = 0\n    creator_count: int = 0\n\n\nclass TopicCategory(BaseModel):\n    \"\"\"A top-level topic category with sub-topics.\"\"\"\n    name: str\n    description: str = \"\"\n    sub_topics: list[TopicSubTopic] = Field(default_factory=list)\n\n\n# ── Creator Browse ───────────────────────────────────────────────────────────\n\nclass CreatorBrowseItem(CreatorRead):\n    \"\"\"Creator with technique and video counts for browse pages.\"\"\"\n    technique_count: int = 0\n    video_count: int = 0\n"}],"isError":false,"timestamp":1774852988912}}
{"type":"message","id":"c8069abd","parentId":"79638cdd","timestamp":"2026-03-30T06:43:13.402Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I need to understand what the \"reference HTML\" layout looks like. The roadmap mentions matching a reference HTML layout. Let me check for any reference/spec docs."},{"type":"toolCall","id":"toolu_01Moo7UEYaAApjs8UKUohZHE","name":"bash","arguments":{"command":"find . -name \"chrysopedia-spec*\" -o -name \"spec.md\" -o -name \"SPEC*\" -o -name \"reference*\" | head -20"}},{"type":"toolCall","id":"toolu_01VcViv2dSkok8MDiqrnbiWu","name":"bash","arguments":{"command":"find . -name \"*.md\" -path \"*M004*\" | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":182,"cacheRead":71239,"cacheWrite":6128,"totalTokens":77550,"cost":{"input":0.000005,"output":0.00455,"cacheRead":0.0356195,"cacheWrite":0.0383,"total":0.0784745}},"stopReason":"toolUse","timestamp":1774852988913}}
{"type":"message","id":"ee93cf9f","parentId":"c8069abd","timestamp":"2026-03-30T06:43:13.452Z","message":{"role":"toolResult","toolCallId":"toolu_01Moo7UEYaAApjs8UKUohZHE","toolName":"bash","content":[{"type":"text","text":"./.venv/lib/python3.12/site-packages/fastapi/.agents/skills/fastapi/references\n./chrysopedia-spec.md\n"}],"isError":false,"timestamp":1774852993452}}
{"type":"message","id":"23d1296f","parentId":"ee93cf9f","timestamp":"2026-03-30T06:43:13.454Z","message":{"role":"toolResult","toolCallId":"toolu_01VcViv2dSkok8MDiqrnbiWu","toolName":"bash","content":[{"type":"text","text":"./.gsd/milestones/M004/M004-ROADMAP.md\n./.gsd/milestones/M004/slices/S01/S01-SUMMARY.md\n./.gsd/milestones/M004/slices/S01/tasks/T01-PLAN.md\n./.gsd/milestones/M004/slices/S01/tasks/T01-SUMMARY.md\n./.gsd/milestones/M004/slices/S01/S01-UAT.md\n./.gsd/milestones/M004/slices/S01/S01-PLAN.md\n./.gsd/milestones/M004/slices/S03/S03-PLAN.md\n./.gsd/milestones/M004/slices/S02/S02-PLAN.md\n./.gsd/milestones/M004/slices/S02/S02-RESEARCH.md\n./.gsd/milestones/M004/slices/S02/tasks/T01-PLAN.md\n./.gsd/milestones/M004/slices/S02/tasks/T02-PLAN.md\n./.gsd/milestones/M004/slices/S02/tasks/T01-SUMMARY.md\n./.gsd/milestones/M004/slices/S02/tasks/T02-SUMMARY.md\n./.gsd/milestones/M004/slices/S02/S02-UAT.md\n./.gsd/milestones/M004/slices/S02/S02-SUMMARY.md\n./.gsd/milestones/M004/slices/S04/S04-PLAN.md\n"}],"isError":false,"timestamp":1774852993452}}
{"type":"message","id":"1cfdc93c","parentId":"23d1296f","timestamp":"2026-03-30T06:43:17.346Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01BqJpRWJXvKBCM8Q1QXyEQu","name":"bash","arguments":{"command":"rg -n \"reference HTML\\|technique page\\|signal chain\\|video source\\|key moment\" chrysopedia-spec.md -i | head -40"}},{"type":"toolCall","id":"toolu_017DPKmxoMPH8KKVNACGzwr3","name":"read","arguments":{"path":".gsd/milestones/M004/slices/S03/S03-PLAN.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":145,"cacheRead":77367,"cacheWrite":701,"totalTokens":78214,"cost":{"input":0.000005,"output":0.003625,"cacheRead":0.038683499999999996,"cacheWrite":0.004381250000000001,"total":0.04669475}},"stopReason":"toolUse","timestamp":1774852993453}}
{"type":"message","id":"f9adb4ac","parentId":"1cfdc93c","timestamp":"2026-03-30T06:43:17.362Z","message":{"role":"toolResult","toolCallId":"toolu_01BqJpRWJXvKBCM8Q1QXyEQu","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774852997361}}
{"type":"message","id":"692af422","parentId":"f9adb4ac","timestamp":"2026-03-30T06:43:17.364Z","message":{"role":"toolResult","toolCallId":"toolu_017DPKmxoMPH8KKVNACGzwr3","toolName":"read","content":[{"type":"text","text":"# S03: Technique Page Redesign + Video Source on Moments\n\n**Goal:** Redesign technique page per reference HTML, add video filename to key moments, fix section layout\n**Demo:** After this: Technique page matches reference HTML layout with video source on key moments, signal chain blocks, and proper section structure\n\n## Tasks\n"}],"isError":false,"timestamp":1774852997361}}
{"type":"message","id":"d715b051","parentId":"692af422","timestamp":"2026-03-30T06:43:22.430Z","message":{"role":"assistant","content":[{"type":"text","text":"The S03 plan is empty — no tasks yet. Let me check the M004 context doc and the spec more thoroughly for what the technique page should look like."},{"type":"toolCall","id":"toolu_01HoqYUo3Wn7JTHXXikhkEVG","name":"bash","arguments":{"command":"find . -name \"M004-CONTEXT*\" -o -name \"M004-RESEARCH*\" | head -5"}},{"type":"toolCall","id":"toolu_01FQmgAXUtpngDTQKjdTrNPC","name":"bash","arguments":{"command":"rg -n \"technique\" chrysopedia-spec.md -i | head -40"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":169,"cacheRead":78068,"cacheWrite":278,"totalTokens":78516,"cost":{"input":0.000005,"output":0.0042250000000000005,"cacheRead":0.039034,"cacheWrite":0.0017375000000000001,"total":0.0450015}},"stopReason":"toolUse","timestamp":1774852997362}}
{"type":"message","id":"03f2757b","parentId":"d715b051","timestamp":"2026-03-30T06:43:22.472Z","message":{"role":"toolResult","toolCallId":"toolu_01HoqYUo3Wn7JTHXXikhkEVG","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774853002472}}
{"type":"message","id":"adad157e","parentId":"03f2757b","timestamp":"2026-03-30T06:43:22.475Z","message":{"role":"toolResult","toolCallId":"toolu_01FQmgAXUtpngDTQKjdTrNPC","toolName":"bash","content":[{"type":"text","text":"11:Hundreds of hours of educational video content from electronic music producers sit on local storage — tutorials, livestreams, track breakdowns, and deep dives covering techniques in sound design, mixing, arrangement, synthesis, and more. This content is extremely valuable but nearly impossible to retrieve: videos are unsearchable, unchaptered, and undocumented. A 4-hour livestream may contain 6 minutes of actionable gold buried among tangents and chat interaction. The current retrieval method is \"scrub through from memory and hope\" — or more commonly, the knowledge is simply lost.\n18:2. **Extracts** key moments, techniques, and insights using LLM analysis\n20:4. **Synthesizes** knowledge across multiple sources into coherent technique pages\n28:- **Surgical retrieval.** A producer mid-session should be able to Alt+Tab, find the technique they need, absorb the key insight, and get back to their DAW in under 2 minutes.\n30:- **Dual-axis navigation.** Content is accessible by Topic (technique/production stage) and by Creator (artist), with both paths being first-class citizens.\n71:| **Technique page** | The primary knowledge unit: a structured page covering one technique or concept from one creator, compiled from one or more source videos. |\n72:| **Key moment** | A discrete, timestamped insight extracted from a video — a specific technique, setting, or piece of reasoning worth capturing. |\n74:| **Genre** | A broad musical style tag (e.g., \"dubstep,\" \"drum & bass,\" \"halftime\"). Stored as metadata on Creators, not on techniques. Used as a filter across all views. |\n96:   - **Topics** — \"Browse by technique, production stage, or concept\" with count of total techniques and categories\n98:3. **Recently added** — a short list of the most recently processed/published technique pages with creator name, topic tag, and relative timestamp\n109:  - **Topics** — technique pages matching the query, showing title, creator name(s), parent topic tag\n110:  - **Key moments** — individual timestamped insights matching the query, showing moment title, creator, source file, and timestamp. Clicking jumps to the technique page (or eventually direct to the video moment)\n112:- **\"Topics\" scope** — shows only technique pages\n117:### 4.4 Technique page (A+C hybrid format)\n119:The core content unit. Each technique page covers one technique or concept from one creator. The format adapts by content type but follows a consistent structure.\n125:   - Technique title (e.g., \"Snare design\")\n131:   - Organized by sub-aspects of the technique (e.g., \"Layer construction,\" \"Saturation & character,\" \"Mix context\")\n133:     - The specific technique/method described (highest priority)\n144:4. **Related techniques:**\n145:   - Links to related technique pages — same technique by other creators, adjacent techniques by the same creator, general/cross-creator technique pages\n149:   - List of all plugins/tools mentioned in the technique page\n150:   - Each is a clickable tag that could lead to \"all techniques referencing this plugin\" (future: dedicated plugin pages)\n153:- **Technique-heavy content** (sound design, specific methods): Full A+C treatment with signal chains, plugin details, parameter specifics\n169:  - Technique count\n172:- Clicking a row navigates to that creator's detail page (list of all their technique pages)\n181:- Page title: \"Topics\" with total technique count\n183:- Genre filter pills (uses creator-level genre metadata to filter): show only techniques from creators tagged with the selected genre\n187:- Each sub-topic shows: technique count, number of creators covering it\n188:- Clicking a sub-topic shows all technique pages in that category, filterable by creator and genre\n196:- Scope tabs: `All results (N) | Techniques (N) | Key moments (N) | Creators (N)`\n198:  - **Technique pages** — first-class results with title, creator, summary snippet, tags, moment count, plugin list\n199:  - **Also mentioned in** — cross-references where the search term appears inside other technique pages (e.g., searching \"snare\" surfaces \"drum bus processing\" because it mentions snare bus techniques)\n232:- Genres are metadata on Creators, not on techniques\n234:- Genre is available as a filter on both the Creators browse page and the Topics browse page (filtering Topics by genre shows techniques from creators tagged with that genre)\n250:view_count      integer (aggregated from child technique page views)\n284:technique_page_id FK → Technique Page (nullable until assigned)\n289:content_type    enum: technique | settings | reasoning | workflow\n297:**Technique Page**\n316:**Related Technique Link**\n319:source_page_id  FK → Technique Page\n"}],"isError":false,"timestamp":1774853002472}}
{"type":"message","id":"08c1faea","parentId":"adad157e","timestamp":"2026-03-30T06:43:25.537Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01PD4SWXdA5AnupwqvnGLac2","name":"read","arguments":{"limit":50,"offset":117,"path":"chrysopedia-spec.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":91,"cacheRead":78346,"cacheWrite":1355,"totalTokens":79793,"cost":{"input":0.000005,"output":0.002275,"cacheRead":0.039173,"cacheWrite":0.00846875,"total":0.04992175}},"stopReason":"toolUse","timestamp":1774853002473}}
{"type":"message","id":"529b1079","parentId":"08c1faea","timestamp":"2026-03-30T06:43:25.542Z","message":{"role":"toolResult","toolCallId":"toolu_01PD4SWXdA5AnupwqvnGLac2","toolName":"read","content":[{"type":"text","text":"### 4.4 Technique page (A+C hybrid format)\n\nThe core content unit. Each technique page covers one technique or concept from one creator. The format adapts by content type but follows a consistent structure.\n\n**Layout (top to bottom):**\n\n1. **Header:**\n   - Topic tags (e.g., \"sound design,\" \"drums,\" \"snare\")\n   - Technique title (e.g., \"Snare design\")\n   - Creator name\n   - Meta line: \"Compiled from N sources · M key moments · Last updated [date]\"\n   - Source quality warning (amber banner) if content came from an unstructured livestream\n\n2. **Study guide prose (Section A):**\n   - Organized by sub-aspects of the technique (e.g., \"Layer construction,\" \"Saturation & character,\" \"Mix context\")\n   - Rich prose capturing:\n     - The specific technique/method described (highest priority)\n     - Exact settings, plugins, and parameters when the creator was *teaching* the setting (not incidental use)\n     - The reasoning/philosophy behind choices when the creator explains *why*\n   - Signal chain blocks rendered in monospace when a creator walks through a routing chain\n   - Direct quotes of creator opinions/warnings when they add value (e.g., \"He says it 'smears the transient into mush'\")\n\n3. **Key moments index (Section C):**\n   - Compact list of individual timestamped insights\n   - Each row: moment title, source video filename, clickable timestamp\n   - Sorted chronologically within each source video\n\n4. **Related techniques:**\n   - Links to related technique pages — same technique by other creators, adjacent techniques by the same creator, general/cross-creator technique pages\n   - Renders as clickable pill-shaped tags\n\n5. **Plugins referenced:**\n   - List of all plugins/tools mentioned in the technique page\n   - Each is a clickable tag that could lead to \"all techniques referencing this plugin\" (future: dedicated plugin pages)\n\n**Content type adaptation:**\n- **Technique-heavy content** (sound design, specific methods): Full A+C treatment with signal chains, plugin details, parameter specifics\n- **Philosophy/workflow content** (mixdown approach, creative process): More prose-heavy, fewer signal chain blocks, but same overall structure. These pages are still browsable but also serve as rich context for future RAG/chat retrieval\n- **Livestream-sourced content:** Amber warning banner noting source quality. Timestamps may land in messy context with tangents nearby\n\n### 4.5 Creators browse page\n\nAccessed from the landing page \"Creators\" card.\n\n**Layout:**\n- Page title: \"Creators\" with total count\n- Filter input: type-to-narrow the list\n- Genre filter pills: `All genres | Bass music | Drum & bass | Dubstep | Halftime | House | IDM | Neuro | Techno | ...` — clicking a genre filters the list to creators tagged with that genre\n- Sort options: Randomized (default, re-shuffled on every page load), Alphabetical, View count\n- Creator list: flat, equal-weight rows. Each row shows:\n\n[548 more lines in file. Use offset=167 to continue.]"}],"isError":false,"timestamp":1774853005540}}
{"type":"message","id":"9ee986b4","parentId":"529b1079","timestamp":"2026-03-30T06:43:31.260Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now I have the full spec for the technique page layout. The key gap is: the current page doesn't show **video source filename** on key moments, doesn't have a **meta line** (\"Compiled from N sources · M key moments\"), and body sections render JSON poorly (signal chains as `<pre>` rather than styled blocks). Let me check what data is available."},{"type":"toolCall","id":"toolu_01BpQgzbndMJS9vUCDbRiVKJ","name":"bash","arguments":{"command":"rg \"source_video\" backend/schemas.py | head -10"}},{"type":"toolCall","id":"toolu_01JSdGJTpuvRbrz5XEXBQ57g","name":"read","arguments":{"path":"frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":193,"cacheRead":78346,"cacheWrite":2199,"totalTokens":80739,"cost":{"input":0.000005,"output":0.004825,"cacheRead":0.039173,"cacheWrite":0.01374375,"total":0.05774675}},"stopReason":"toolUse","timestamp":1774853005541}}
{"type":"message","id":"da7cf688","parentId":"9ee986b4","timestamp":"2026-03-30T06:43:31.275Z","message":{"role":"toolResult","toolCallId":"toolu_01BpQgzbndMJS9vUCDbRiVKJ","toolName":"bash","content":[{"type":"text","text":"    source_video_id: uuid.UUID\n    source_video_id: uuid.UUID\n    source_video_id: uuid.UUID\n    source_video_id: uuid.UUID\n"}],"isError":false,"timestamp":1774853011275}}
{"type":"message","id":"27a2f1b6","parentId":"da7cf688","timestamp":"2026-03-30T06:43:31.281Z","message":{"role":"toolResult","toolCallId":"toolu_01JSdGJTpuvRbrz5XEXBQ57g","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}\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}\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  review_status: string;\n  created_at: string;\n  updated_at: string;\n  key_moments: KeyMomentSummary[];\n  creator_info: CreatorInfo | null;\n  related_links: RelatedLinkItem[];\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  source_quality: string | null;\n  view_count: number;\n  review_status: string;\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}: ${detail}`);\n    this.name = \"ApiError\";\n  }\n}\n\nasync function request<T>(url: string, init?: RequestInit): Promise<T> {\n  const res = await fetch(url, {\n    ...init,\n    headers: {\n      \"Content-Type\": \"application/json\",\n      ...init?.headers,\n    },\n  });\n\n  if (!res.ok) {\n    let detail = res.statusText;\n    try {\n      const body: unknown = await res.json();\n      if (typeof body === \"object\" && body !== null && \"detail\" in body) {\n        detail = String((body as { detail: unknown }).detail);\n      }\n    } catch {\n      // body not JSON — keep statusText\n    }\n    throw new ApiError(res.status, detail);\n  }\n\n  return res.json() as Promise<T>;\n}\n\n// ── Search ───────────────────────────────────────────────────────────────────\n\nexport async function searchApi(\n  q: string,\n  scope?: string,\n  limit?: number,\n): Promise<SearchResponse> {\n  const qs = new URLSearchParams({ q });\n  if (scope) qs.set(\"scope\", scope);\n  if (limit !== undefined) qs.set(\"limit\", String(limit));\n  return request<SearchResponse>(`${BASE}/search?${qs.toString()}`);\n}\n\n// ── Techniques ───────────────────────────────────────────────────────────────\n\nexport interface TechniqueListParams {\n  limit?: number;\n  offset?: number;\n  category?: string;\n  creator_slug?: string;\n}\n\nexport async function fetchTechniques(\n  params: TechniqueListParams = {},\n): Promise<TechniqueListResponse> {\n  const qs = new URLSearchParams();\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  if (params.category) qs.set(\"category\", params.category);\n  if (params.creator_slug) qs.set(\"creator_slug\", params.creator_slug);\n  const query = qs.toString();\n  return request<TechniqueListResponse>(\n    `${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\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"}],"isError":false,"timestamp":1774853011279}}
{"type":"message","id":"77677175","parentId":"27a2f1b6","timestamp":"2026-03-30T06:43:38.775Z","message":{"role":"assistant","content":[{"type":"text","text":"Key finding: `KeyMomentSummary` schema doesn't include `source_video_id` or video filename — that's the main data gap. Let me check the relationship chain and what real data looks like."},{"type":"toolCall","id":"toolu_01EktSZ357KxoycPi94aaBvw","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-api python -c \\\"\nimport json\nfrom sqlalchemy import create_engine, text\ne = create_engine('postgresql://chrysopedia:chrysopedia@chrysopedia-db:5432/chrysopedia')\nwith e.connect() as c:\n    # Check a sample technique page with its key moments\n    rows = c.execute(text('''\n        SELECT tp.slug, tp.title, tp.body_sections IS NOT NULL as has_body,\n               tp.signal_chains IS NOT NULL as has_chains,\n               tp.summary IS NOT NULL as has_summary,\n               count(km.id) as moment_count,\n               count(DISTINCT km.source_video_id) as video_count\n        FROM technique_pages tp\n        LEFT JOIN key_moments km ON km.technique_page_id = tp.id\n        GROUP BY tp.id\n        LIMIT 5\n    ''')).fetchall()\n    for r in rows:\n        print(dict(r._mapping))\n\\\"\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":345,"cacheRead":80545,"cacheWrite":2254,"totalTokens":83145,"cost":{"input":0.000005,"output":0.008625,"cacheRead":0.040272499999999996,"cacheWrite":0.014087500000000001,"total":0.06298999999999999}},"stopReason":"toolUse","timestamp":1774853011280}}
{"type":"message","id":"5f81d8ab","parentId":"77677175","timestamp":"2026-03-30T06:43:40.067Z","message":{"role":"toolResult","toolCallId":"toolu_01EktSZ357KxoycPi94aaBvw","toolName":"bash","content":[{"type":"text","text":"Traceback (most recent call last):\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 143, in __init__\n    self._dbapi_connection = engine.raw_connection()\n                             ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 3317, in raw_connection\n    return self.pool.connect()\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 448, in connect\n    return _ConnectionFairy._checkout(self)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 1272, in _checkout\n    fairy = _ConnectionRecord.checkout(pool)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 712, in checkout\n    rec = pool._do_get()\n          ^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/impl.py\", line 177, in _do_get\n    with util.safe_reraise():\n         ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py\", line 121, in __exit__\n    raise exc_value.with_traceback(exc_tb)\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/impl.py\", line 175, in _do_get\n    return self._create_connection()\n           ^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 389, in _create_connection\n    return _ConnectionRecord(self)\n           ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 674, in __init__\n    self.__connect()\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 900, in __connect\n    with util.safe_reraise():\n         ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py\", line 121, in __exit__\n    raise exc_value.with_traceback(exc_tb)\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 896, in __connect\n    self.dbapi_connection = connection = pool._invoke_creator(self)\n                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/create.py\", line 667, in connect\n    return dialect.connect(*cargs_tup, **cparams)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/default.py\", line 630, in connect\n    return self.loaded_dbapi.connect(*cargs, **cparams)  # type: ignore[no-any-return]  # NOQA: E501\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/psycopg2/__init__.py\", line 122, in connect\n    conn = _connect(dsn, connection_factory=connection_factory, **kwasync)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\npsycopg2.OperationalError: connection to server at \"chrysopedia-db\" (172.32.0.4), port 5432 failed: FATAL:  password authentication failed for user \"chrysopedia\"\n\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"<string>\", line 5, in <module>\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 3293, in connect\n    return self._connection_cls(self)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 145, in __init__\n    Connection._handle_dbapi_exception_noconnection(\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 2448, in _handle_dbapi_exception_noconnection\n    raise sqlalchemy_exception.with_traceback(exc_info[2]) from e\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 143, in __init__\n    self._dbapi_connection = engine.raw_connection()\n                             ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/base.py\", line 3317, in raw_connection\n    return self.pool.connect()\n           ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 448, in connect\n    return _ConnectionFairy._checkout(self)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 1272, in _checkout\n    fairy = _ConnectionRecord.checkout(pool)\n            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 712, in checkout\n    rec = pool._do_get()\n          ^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/impl.py\", line 177, in _do_get\n    with util.safe_reraise():\n         ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py\", line 121, in __exit__\n    raise exc_value.with_traceback(exc_tb)\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/impl.py\", line 175, in _do_get\n    return self._create_connection()\n           ^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 389, in _create_connection\n    return _ConnectionRecord(self)\n           ^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 674, in __init__\n    self.__connect()\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 900, in __connect\n    with util.safe_reraise():\n         ^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py\", line 121, in __exit__\n    raise exc_value.with_traceback(exc_tb)\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/pool/base.py\", line 896, in __connect\n    self.dbapi_connection = connection = pool._invoke_creator(self)\n                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/create.py\", line 667, in connect\n    return dialect.connect(*cargs_tup, **cparams)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/sqlalchemy/engine/default.py\", line 630, in connect\n    return self.loaded_dbapi.connect(*cargs, **cparams)  # type: ignore[no-any-return]  # NOQA: E501\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/usr/local/lib/python3.12/site-packages/psycopg2/__init__.py\", line 122, in connect\n    conn = _connect(dsn, connection_factory=connection_factory, **kwasync)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nsqlalchemy.exc.OperationalError: (psycopg2.OperationalError) connection to server at \"chrysopedia-db\" (172.32.0.4), port 5432 failed: FATAL:  password authentication failed for user \"chrysopedia\"\n\n(Background on this error at: https://sqlalche.me/e/20/e3q8)\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1774853020065}}
{"type":"message","id":"b033cdab","parentId":"5f81d8ab","timestamp":"2026-03-30T06:43:43.753Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01FxKn3P6BhaF7ocSKkrNMkT","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia_user -d chrysopedia -c \\\"\nSELECT tp.slug, tp.title,\n       tp.body_sections IS NOT NULL as has_body,\n       tp.signal_chains IS NOT NULL as has_chains,\n       tp.summary IS NOT NULL as has_summary,\n       count(km.id) as moment_count,\n       count(DISTINCT km.source_video_id) as video_count\nFROM technique_pages tp\nLEFT JOIN key_moments km ON km.technique_page_id = tp.id\nGROUP BY tp.id\nLIMIT 5;\n\\\"\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":209,"cacheRead":82799,"cacheWrite":2534,"totalTokens":85543,"cost":{"input":0.000005,"output":0.0052250000000000005,"cacheRead":0.0413995,"cacheWrite":0.0158375,"total":0.062466999999999995}},"stopReason":"toolUse","timestamp":1774853020066}}
{"type":"message","id":"736e279e","parentId":"b033cdab","timestamp":"2026-03-30T06:43:44.134Z","message":{"role":"toolResult","toolCallId":"toolu_01FxKn3P6BhaF7ocSKkrNMkT","toolName":"bash","content":[{"type":"text","text":"psql: error: connection to server on socket \"/var/run/postgresql/.s.PGSQL.5432\" failed: FATAL:  role \"chrysopedia_user\" does not exist\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774853024131}}
{"type":"message","id":"aa5f7078","parentId":"736e279e","timestamp":"2026-03-30T06:43:46.795Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01MTzCmQpqp9dUjSrr5j9KSR","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U postgres -d chrysopedia -c \\\"\\\\du\\\"\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":85,"cacheRead":85333,"cacheWrite":281,"totalTokens":85700,"cost":{"input":0.000005,"output":0.002125,"cacheRead":0.042666499999999996,"cacheWrite":0.00175625,"total":0.04655275}},"stopReason":"toolUse","timestamp":1774853024132}}
{"type":"message","id":"3160e04a","parentId":"aa5f7078","timestamp":"2026-03-30T06:43:47.146Z","message":{"role":"toolResult","toolCallId":"toolu_01MTzCmQpqp9dUjSrr5j9KSR","toolName":"bash","content":[{"type":"text","text":"psql: error: connection to server on socket \"/var/run/postgresql/.s.PGSQL.5432\" failed: FATAL:  role \"postgres\" does not exist\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774853027144}}
{"type":"message","id":"39905957","parentId":"3160e04a","timestamp":"2026-03-30T06:43:50.445Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01WAeZix58WvsbmPoCctEPwb","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/compose/xpltd_chrysopedia/docker-compose.yml | grep -A 10 'chrysopedia-db'\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":98,"cacheRead":85333,"cacheWrite":434,"totalTokens":85866,"cost":{"input":0.000005,"output":0.00245,"cacheRead":0.042666499999999996,"cacheWrite":0.0027125,"total":0.047833999999999995}},"stopReason":"toolUse","timestamp":1774853027145}}
{"type":"message","id":"9e79c781","parentId":"39905957","timestamp":"2026-03-30T06:43:50.755Z","message":{"role":"toolResult","toolCallId":"toolu_01WAeZix58WvsbmPoCctEPwb","toolName":"bash","content":[{"type":"text","text":"  chrysopedia-db:\n    image: postgres:16-alpine\n    container_name: chrysopedia-db\n    restart: unless-stopped\n    environment:\n      POSTGRES_USER: ${POSTGRES_USER:-chrysopedia}\n      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-changeme}\n      POSTGRES_DB: ${POSTGRES_DB:-chrysopedia}\n    volumes:\n      - /vmPool/r/services/chrysopedia_db:/var/lib/postgresql/data\n    ports:\n      - \"127.0.0.1:5433:5432\"\n    networks:\n--\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    volumes:\n      - /vmPool/r/services/chrysopedia_data:/data\n      - ./config:/config:ro\n    depends_on:\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 15s\n--\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    command: [\"celery\", \"-A\", \"worker\", \"worker\", \"--loglevel=info\", \"--concurrency=1\"]\n    healthcheck:\n      test: [\"CMD-SHELL\", \"celery -A worker inspect ping --timeout=5 2>/dev/null | grep -q pong || exit 1\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n--\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 30s\n"}],"isError":false,"timestamp":1774853030753}}
{"type":"message","id":"f70e4781","parentId":"9e79c781","timestamp":"2026-03-30T06:43:54.268Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01ArbkFvZyEqRHcnbpmfMUS3","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -d chrysopedia -c \\\"\nSELECT tp.slug, tp.title,\n       tp.body_sections IS NOT NULL as has_body,\n       tp.signal_chains IS NOT NULL as has_chains,\n       tp.summary IS NOT NULL as has_summary,\n       count(km.id) as moment_count,\n       count(DISTINCT km.source_video_id) as video_count\nFROM technique_pages tp\nLEFT JOIN key_moments km ON km.technique_page_id = tp.id\nGROUP BY tp.id\nLIMIT 5;\n\\\"\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":207,"cacheRead":85767,"cacheWrite":809,"totalTokens":86784,"cost":{"input":0.000005,"output":0.005175,"cacheRead":0.0428835,"cacheWrite":0.00505625,"total":0.05311974999999999}},"stopReason":"toolUse","timestamp":1774853030754}}
{"type":"message","id":"40bca2b1","parentId":"f70e4781","timestamp":"2026-03-30T06:43:54.664Z","message":{"role":"toolResult","toolCallId":"toolu_01ArbkFvZyEqRHcnbpmfMUS3","toolName":"bash","content":[{"type":"text","text":"                                 slug                                  |                                       title                                        | has_body | has_chains | has_summary | moment_count | video_count \n-----------------------------------------------------------------------+------------------------------------------------------------------------------------+----------+------------+-------------+--------------+-------------\n balancing-softness-upper-harmonics-wave-shaping-textured-sound-design | Balancing Softness and Upper Harmonics with Wave Shaping for Textured Sound Design | t        | t          | t           |            2 |           1\n wave-shaping-synthesis-m-wave-shaper                                  | Wave Shaping Synthesis with M Wave Shaper                                          | t        | t          | t           |           13 |           1\n(2 rows)\n\n"}],"isError":false,"timestamp":1774853034662}}
{"type":"message","id":"435cc456","parentId":"40bca2b1","timestamp":"2026-03-30T06:43:58.528Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — 2 technique pages exist with real data. Let me check the structure of the body_sections and signal_chains."},{"type":"toolCall","id":"toolu_01BHAPYTpDFp2gBVutuxFdCy","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -d chrysopedia -c \\\"\nSELECT jsonb_pretty(body_sections) FROM technique_pages LIMIT 1;\n\\\"\" 2>&1 | head -80"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":139,"cacheRead":86576,"cacheWrite":392,"totalTokens":87108,"cost":{"input":0.000005,"output":0.0034750000000000002,"cacheRead":0.043288,"cacheWrite":0.00245,"total":0.049218}},"stopReason":"toolUse","timestamp":1774853034663}}
{"type":"message","id":"f7d4af54","parentId":"435cc456","timestamp":"2026-03-30T06:43:58.921Z","message":{"role":"toolResult","toolCallId":"toolu_01BHAPYTpDFp2gBVutuxFdCy","toolName":"bash","content":[{"type":"text","text":"                                                                                                                                                                                                                              jsonb_pretty                                                                                                                                                                                                                              \n------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n {                                                                                                                                                                                                                                                                                                                                                                                                                                                                     +\n     \"Overview\": \"The M Wave Shaper from Melda Production's Free Bundle is a powerful distortion tool that offers exceptional versatility in sound design. Unlike traditional distortion plugins, wave shaping works by manipulating the transfer curve that defines the relationship between input and output signal levels, giving you precise control over harmonic generation.\",                                                                                   +\n     \"Dynamic Response\": \"Wave shaping responds dynamically to input levels. Louder input produces more distortion and harmonics, while softer input reduces them. This is why using a sine wave with level modulation demonstrates the effect clearly—the varying dynamics make the distortion response audible. This dynamic behavior makes wave shaping particularly musical and responsive to performance.\",                                                       +\n     \"Creating Soft Saturation\": \"To create gentle saturation, drag a point on the curve upward to create a soft curve. This squares off the waveform peaks, producing odd harmonics. For example, forcing a -6dB input to 0dB output creates characteristic soft saturation. The input control determines how much of the signal hits the shaped portion of the curve, allowing you to dial in everything from subtle warmth to heavy drive.\",                        +\n     \"Symmetric vs Asymmetric Shaping\": \"Symmetric wave shaping (identical positive and negative waveform processing) generates only odd harmonics, creating square wave-like characteristics with fatter, louder sounds. Asymmetric shaping breaks this symmetry by creating different curves for positive and negative sides, introducing even harmonics for richer, fuller tones similar to sawtooth waves. Use the symmetry toggle to switch between these modes.\",+\n     \"Understanding the Transfer Curve\": \"The transfer curve is the core of wave shaping. The x-axis represents input level (silence to zero), while the y-axis represents output level. A straight diagonal line means input matches output with no alteration. When you modify this curve, you change how the plugin processes different input levels. The input level indicator shows where your signal hits the curve in real-time.\",                              +\n     \"Generating Sharp Harmonic Transitions\": \"For more aggressive, glitchy sounds, create sharp transitions in the curve using straight line segments. This produces high-frequency harmonics similar to bit-crushing. The abrupt level changes create clicky sounds rich in upper harmonics. Adjust the input level to ensure your signal actually hits these transition points for maximum effect.\"                                                                 +\n }\n(1 row)\n\n"}],"isError":false,"timestamp":1774853038919}}
{"type":"message","id":"e9157215","parentId":"f7d4af54","timestamp":"2026-03-30T06:44:01.760Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01CXqX45RPPp7kECkW9TjrPV","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -d chrysopedia -c \\\"\nSELECT jsonb_pretty(signal_chains) FROM technique_pages LIMIT 1;\n\\\"\" 2>&1 | head -60"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":111,"cacheRead":86968,"cacheWrite":771,"totalTokens":87851,"cost":{"input":0.000005,"output":0.002775,"cacheRead":0.043483999999999995,"cacheWrite":0.00481875,"total":0.051082749999999996}},"stopReason":"toolUse","timestamp":1774853038920}}
{"type":"message","id":"0ebfc50d","parentId":"e9157215","timestamp":"2026-03-30T06:44:02.158Z","message":{"role":"toolResult","toolCallId":"toolu_01CXqX45RPPp7kECkW9TjrPV","toolName":"bash","content":[{"type":"text","text":"                  jsonb_pretty                   \n-------------------------------------------------\n [                                              +\n     {                                          +\n         \"name\": \"Basic Wave Shaping Chain\",    +\n         \"steps\": [                             +\n             \"Source (sine wave)\",              +\n             \"M Wave Shaper (transfer curve)\",  +\n             \"Output\"                           +\n         ]                                      +\n     },                                         +\n     {                                          +\n         \"name\": \"Dynamic Wave Shaping Chain\",  +\n         \"steps\": [                             +\n             \"Source with level modulation\",    +\n             \"M Wave Shaper (asymmetric curve)\",+\n             \"Output\"                           +\n         ]                                      +\n     }                                          +\n ]\n(1 row)\n\n"}],"isError":false,"timestamp":1774853042155}}
{"type":"message","id":"32c1106e","parentId":"0ebfc50d","timestamp":"2026-03-30T06:44:05.807Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01XutdFPp7FcvdNkzVkciseC","name":"bash","arguments":{"command":"ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -d chrysopedia -c \\\"\nSELECT km.title, km.start_time, km.end_time, km.content_type, sv.filename\nFROM key_moments km\nJOIN source_videos sv ON km.source_video_id = sv.id\nWHERE km.technique_page_id IS NOT NULL\nORDER BY km.start_time\nLIMIT 10;\n\\\"\" 2>&1"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":163,"cacheRead":87739,"cacheWrite":307,"totalTokens":88210,"cost":{"input":0.000005,"output":0.0040750000000000005,"cacheRead":0.0438695,"cacheWrite":0.00191875,"total":0.049868249999999996}},"stopReason":"toolUse","timestamp":1774853042157}}
{"type":"message","id":"d00527d6","parentId":"32c1106e","timestamp":"2026-03-30T06:44:06.184Z","message":{"role":"toolResult","toolCallId":"toolu_01XutdFPp7FcvdNkzVkciseC","toolName":"bash","content":[{"type":"text","text":"                   title                   | start_time | end_time | content_type |                   filename                    \n-------------------------------------------+------------+----------+--------------+-----------------------------------------------\n Introduction to M Wave Shaper Plugin      |          3 |      7.4 | workflow     | Skope - Understanding Waveshapers (2160p).mp4\n Capabilities of M Wave Shaper             |        7.4 |     11.9 | reasoning    | Skope - Understanding Waveshapers (2160p).mp4\n Transfer Curve Input/Output Relationship  |       16.4 |     33.6 | reasoning    | Skope - Understanding Waveshapers (2160p).mp4\n Sine Wave with Level Modulation           |       34.3 |     45.4 | technique    | Skope - Understanding Waveshapers (2160p).mp4\n Distortion Dynamics Explanation           |       45.4 |       56 | reasoning    | Skope - Understanding Waveshapers (2160p).mp4\n Applying Soft Saturation Curve            |       57.9 |     86.7 | technique    | Skope - Understanding Waveshapers (2160p).mp4\n Creating Sharp Harmonic Transitions       |       96.4 |    116.2 | settings     | Skope - Understanding Waveshapers (2160p).mp4\n Harmonic Generation Mechanism             |      121.7 |    143.4 | reasoning    | Skope - Understanding Waveshapers (2160p).mp4\n Balancing soft sound with upper harmonics |      154.6 |    161.2 | technique    | Skope - Understanding Waveshapers (2160p).mp4\n Creating curve to soften edges            |      162.6 |    175.8 | technique    | Skope - Understanding Waveshapers (2160p).mp4\n(10 rows)\n\n"}],"isError":false,"timestamp":1774853046181}}
{"type":"message","id":"0dc034fb","parentId":"d00527d6","timestamp":"2026-03-30T06:44:11.208Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I have the full picture. The key moments in the DB are linked to source_videos which have the filename. The current API `KeyMomentSummary` schema doesn't expose video filename — that's the main backend change needed.\n\nLet me also check the CSS to understand the current styling approach."},{"type":"toolCall","id":"toolu_01TLhs1iFtcpxWC5Gw9kJDjR","name":"bash","arguments":{"command":"rg -n \"technique\" frontend/src/index.css | head -40"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":135,"cacheRead":88046,"cacheWrite":648,"totalTokens":88830,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.044023,"cacheWrite":0.00405,"total":0.051453}},"stopReason":"toolUse","timestamp":1774853046182}}
{"type":"message","id":"d2f06de7","parentId":"0dc034fb","timestamp":"2026-03-30T06:44:11.226Z","message":{"role":"toolResult","toolCallId":"toolu_01TLhs1iFtcpxWC5Gw9kJDjR","toolName":"bash","content":[{"type":"text","text":"rg: frontend/src/index.css: No such file or directory (os error 2)\n"}],"isError":false,"timestamp":1774853051224}}
{"type":"message","id":"d77bff11","parentId":"d2f06de7","timestamp":"2026-03-30T06:44:13.888Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01T92dXApTovz9jTGGL2ESdJ","name":"bash","arguments":{"command":"find frontend/src -name \"*.css\" | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":65,"cacheRead":88694,"cacheWrite":170,"totalTokens":88930,"cost":{"input":0.000005,"output":0.0016250000000000001,"cacheRead":0.044347,"cacheWrite":0.0010625,"total":0.0470395}},"stopReason":"toolUse","timestamp":1774853051224}}
{"type":"message","id":"cbcda4d7","parentId":"d77bff11","timestamp":"2026-03-30T06:44:13.904Z","message":{"role":"toolResult","toolCallId":"toolu_01T92dXApTovz9jTGGL2ESdJ","toolName":"bash","content":[{"type":"text","text":"frontend/src/App.css\n"}],"isError":false,"timestamp":1774853053902}}
{"type":"message","id":"49d11efb","parentId":"cbcda4d7","timestamp":"2026-03-30T06:44:24.572Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01AcQJXhb6qMqF2mAm2uZPkL","name":"bash","arguments":{"command":"rg -n \"technique\" frontend/src/App.css | head -40"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":69,"cacheRead":88864,"cacheWrite":85,"totalTokens":89019,"cost":{"input":0.000005,"output":0.0017250000000000002,"cacheRead":0.044432,"cacheWrite":0.00053125,"total":0.04669325}},"stopReason":"toolUse","timestamp":1774853053903}}
{"type":"message","id":"460747b5","parentId":"49d11efb","timestamp":"2026-03-30T06:44:24.591Z","message":{"role":"toolResult","toolCallId":"toolu_01AcQJXhb6qMqF2mAm2uZPkL","toolName":"bash","content":[{"type":"text","text":"77:  --color-badge-type-technique-bg: #1e1b4b;\n78:  --color-badge-type-technique-text: #93c5fd;\n908:.typeahead-item__type--technique_page {\n909:  background: var(--color-badge-type-technique-bg);\n910:  color: var(--color-badge-type-technique-text);\n1146:.badge--type-technique_page {\n1147:  background: var(--color-badge-type-technique-bg);\n1148:  color: var(--color-badge-type-technique-text);\n1179:.technique-page {\n1183:.technique-404 {\n1188:.technique-404 h2 {\n1194:.technique-404 p {\n1199:.technique-banner {\n1206:.technique-banner--amber {\n1212:.technique-header {\n1216:.technique-header__title {\n1224:.technique-header__meta {\n1231:.technique-header__tags {\n1236:.technique-header__creator {\n1242:.technique-header__creator:hover {\n1248:.technique-summary {\n1252:.technique-summary p {\n1258:.technique-prose {\n1262:.technique-prose__section {\n1266:.technique-prose__section h2 {\n1272:.technique-prose__section p {\n1278:.technique-prose__json {\n1289:.technique-moments {\n1293:.technique-moments h2 {\n1299:.technique-moments__list {\n1306:.technique-moment {\n1313:.technique-moment__header {\n1321:.technique-moment__title {\n1326:.technique-moment__time {\n1332:.technique-moment__summary {\n1340:.technique-chains {\n1344:.technique-chains h2 {\n1350:.technique-chain {\n1358:.technique-chain h3 {\n1364:.technique-chain__steps {\n"}],"isError":false,"timestamp":1774853064588}}
{"type":"message","id":"4bf16cd7","parentId":"460747b5","timestamp":"2026-03-30T06:44:27.529Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01DRptdC5wagUSP9Gb1W42L2","name":"read","arguments":{"limit":250,"offset":1179,"path":"frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":92,"cacheRead":88864,"cacheWrite":626,"totalTokens":89583,"cost":{"input":0.000005,"output":0.0023,"cacheRead":0.044432,"cacheWrite":0.0039125,"total":0.0506495}},"stopReason":"toolUse","timestamp":1774853064589}}
{"type":"message","id":"a4afc83a","parentId":"4bf16cd7","timestamp":"2026-03-30T06:44:27.535Z","message":{"role":"toolResult","toolCallId":"toolu_01DRptdC5wagUSP9Gb1W42L2","toolName":"read","content":[{"type":"text","text":".technique-page {\n  max-width: 48rem;\n}\n\n.technique-404 {\n  text-align: center;\n  padding: 3rem 1rem;\n}\n\n.technique-404 h2 {\n  font-size: 1.5rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n}\n\n.technique-404 p {\n  color: var(--color-text-secondary);\n  margin-bottom: 1.5rem;\n}\n\n.technique-banner {\n  padding: 0.625rem 1rem;\n  border-radius: 0.375rem;\n  font-size: 0.8125rem;\n  margin-bottom: 1rem;\n}\n\n.technique-banner--amber {\n  background: var(--color-banner-amber-bg);\n  border: 1px solid var(--color-banner-amber-border);\n  color: var(--color-banner-amber-text);\n}\n\n.technique-header {\n  margin-bottom: 1.5rem;\n}\n\n.technique-header__title {\n  font-size: 1.75rem;\n  font-weight: 800;\n  letter-spacing: -0.02em;\n  margin-bottom: 0.5rem;\n  line-height: 1.2;\n}\n\n.technique-header__meta {\n  display: flex;\n  align-items: center;\n  gap: 0.5rem;\n  flex-wrap: wrap;\n}\n\n.technique-header__tags {\n  display: inline-flex;\n  gap: 0.25rem;\n}\n\n.technique-header__creator {\n  font-size: 0.875rem;\n  color: var(--color-link-accent);\n  text-decoration: none;\n}\n\n.technique-header__creator:hover {\n  text-decoration: underline;\n}\n\n/* ── Technique prose / sections ───────────────────────────────────────────── */\n\n.technique-summary {\n  margin-bottom: 1.5rem;\n}\n\n.technique-summary p {\n  font-size: 1rem;\n  color: var(--color-text-primary);\n  line-height: 1.6;\n}\n\n.technique-prose {\n  margin-bottom: 2rem;\n}\n\n.technique-prose__section {\n  margin-bottom: 1.5rem;\n}\n\n.technique-prose__section h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n}\n\n.technique-prose__section p {\n  font-size: 0.9375rem;\n  color: var(--color-text-primary);\n  line-height: 1.7;\n}\n\n.technique-prose__json {\n  background: var(--color-bg-transcript);\n  padding: 0.75rem;\n  border-radius: 0.375rem;\n  font-size: 0.8125rem;\n  overflow-x: auto;\n  line-height: 1.5;\n}\n\n/* ── Key moments list ─────────────────────────────────────────────────────── */\n\n.technique-moments {\n  margin-bottom: 2rem;\n}\n\n.technique-moments h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.75rem;\n}\n\n.technique-moments__list {\n  list-style: none;\n  display: flex;\n  flex-direction: column;\n  gap: 0.75rem;\n}\n\n.technique-moment {\n  padding: 0.875rem 1rem;\n  background: var(--color-bg-surface);\n  border: 1px solid var(--color-border);\n  border-radius: 0.5rem;\n}\n\n.technique-moment__header {\n  display: flex;\n  align-items: center;\n  gap: 0.5rem;\n  margin-bottom: 0.25rem;\n  flex-wrap: wrap;\n}\n\n.technique-moment__title {\n  font-size: 0.9375rem;\n  font-weight: 600;\n}\n\n.technique-moment__time {\n  font-size: 0.75rem;\n  color: var(--color-text-secondary);\n  font-variant-numeric: tabular-nums;\n}\n\n.technique-moment__summary {\n  font-size: 0.8125rem;\n  color: var(--color-text-secondary);\n  line-height: 1.5;\n}\n\n/* ── Signal chains ────────────────────────────────────────────────────────── */\n\n.technique-chains {\n  margin-bottom: 2rem;\n}\n\n.technique-chains h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.75rem;\n}\n\n.technique-chain {\n  margin-bottom: 1rem;\n  padding: 1rem;\n  background: var(--color-bg-surface);\n  border: 1px solid var(--color-border);\n  border-radius: 0.5rem;\n}\n\n.technique-chain h3 {\n  font-size: 1rem;\n  font-weight: 600;\n  margin-bottom: 0.5rem;\n}\n\n.technique-chain__steps {\n  padding-left: 1.25rem;\n  font-size: 0.875rem;\n  line-height: 1.6;\n  color: var(--color-text-primary);\n}\n\n/* ── Plugins ──────────────────────────────────────────────────────────────── */\n\n.technique-plugins {\n  margin-bottom: 2rem;\n}\n\n.technique-plugins h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n}\n\n/* ── Related techniques ───────────────────────────────────────────────────── */\n\n.technique-related {\n  margin-bottom: 2rem;\n}\n\n.technique-related h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n}\n\n.technique-related__list {\n  list-style: none;\n  display: flex;\n  flex-direction: column;\n  gap: 0.375rem;\n}\n\n.technique-related__list a {\n  color: var(--color-link-accent);\n  text-decoration: none;\n  font-size: 0.9375rem;\n}\n\n.technique-related__list a:hover {\n  text-decoration: underline;\n}\n\n.technique-related__rel {\n  font-size: 0.75rem;\n  color: var(--color-text-muted);\n  margin-left: 0.375rem;\n}\n\n/* ══════════════════════════════════════════════════════════════════════════════\n   CREATORS BROWSE\n   ══════════════════════════════════════════════════════════════════════════════ */\n\n.creators-browse {\n  max-width: 56rem;\n}\n\n.creators-browse__title {\n  font-size: 1.75rem;\n  font-weight: 800;\n\n[474 more lines in file. Use offset=1429 to continue.]"}],"isError":false,"timestamp":1774853067532}}
{"type":"message","id":"c2ace0fd","parentId":"a4afc83a","timestamp":"2026-03-30T06:44:31.374Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the existing API response to understand what's missing. Let me also look at what the technique endpoint eagerly loads."},{"type":"toolCall","id":"toolu_014BJZyJ3HE7yZrMX3fu5QVA","name":"bash","arguments":{"command":"ssh ub01 \"curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -m json.tool\" 2>&1 | head -80"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":134,"cacheRead":89490,"cacheWrite":1928,"totalTokens":91553,"cost":{"input":0.000005,"output":0.00335,"cacheRead":0.044745,"cacheWrite":0.01205,"total":0.060149999999999995}},"stopReason":"toolUse","timestamp":1774853067533}}
{"type":"message","id":"dcfed448","parentId":"c2ace0fd","timestamp":"2026-03-30T06:44:31.800Z","message":{"role":"toolResult","toolCallId":"toolu_014BJZyJ3HE7yZrMX3fu5QVA","toolName":"bash","content":[{"type":"text","text":"{\n    \"title\": \"Wave Shaping Synthesis with M Wave Shaper\",\n    \"slug\": \"wave-shaping-synthesis-m-wave-shaper\",\n    \"topic_category\": \"Synthesis\",\n    \"topic_tags\": [\n        \"wave-shaping\"\n    ],\n    \"summary\": \"A comprehensive guide to using Melda Production's M Wave Shaper for creative distortion and harmonic generation. Learn how transfer curves control input/output relationships to produce everything from soft saturation to glitchy bit-crusher effects.\",\n    \"body_sections\": {\n        \"Overview\": \"The M Wave Shaper from Melda Production's Free Bundle is a powerful distortion tool that offers exceptional versatility in sound design. Unlike traditional distortion plugins, wave shaping works by manipulating the transfer curve that defines the relationship between input and output signal levels, giving you precise control over harmonic generation.\",\n        \"Dynamic Response\": \"Wave shaping responds dynamically to input levels. Louder input produces more distortion and harmonics, while softer input reduces them. This is why using a sine wave with level modulation demonstrates the effect clearly\\u2014the varying dynamics make the distortion response audible. This dynamic behavior makes wave shaping particularly musical and responsive to performance.\",\n        \"Creating Soft Saturation\": \"To create gentle saturation, drag a point on the curve upward to create a soft curve. This squares off the waveform peaks, producing odd harmonics. For example, forcing a -6dB input to 0dB output creates characteristic soft saturation. The input control determines how much of the signal hits the shaped portion of the curve, allowing you to dial in everything from subtle warmth to heavy drive.\",\n        \"Symmetric vs Asymmetric Shaping\": \"Symmetric wave shaping (identical positive and negative waveform processing) generates only odd harmonics, creating square wave-like characteristics with fatter, louder sounds. Asymmetric shaping breaks this symmetry by creating different curves for positive and negative sides, introducing even harmonics for richer, fuller tones similar to sawtooth waves. Use the symmetry toggle to switch between these modes.\",\n        \"Understanding the Transfer Curve\": \"The transfer curve is the core of wave shaping. The x-axis represents input level (silence to zero), while the y-axis represents output level. A straight diagonal line means input matches output with no alteration. When you modify this curve, you change how the plugin processes different input levels. The input level indicator shows where your signal hits the curve in real-time.\",\n        \"Generating Sharp Harmonic Transitions\": \"For more aggressive, glitchy sounds, create sharp transitions in the curve using straight line segments. This produces high-frequency harmonics similar to bit-crushing. The abrupt level changes create clicky sounds rich in upper harmonics. Adjust the input level to ensure your signal actually hits these transition points for maximum effect.\"\n    },\n    \"signal_chains\": [\n        {\n            \"name\": \"Basic Wave Shaping Chain\",\n            \"steps\": [\n                \"Source (sine wave)\",\n                \"M Wave Shaper (transfer curve)\",\n                \"Output\"\n            ]\n        },\n        {\n            \"name\": \"Dynamic Wave Shaping Chain\",\n            \"steps\": [\n                \"Source with level modulation\",\n                \"M Wave Shaper (asymmetric curve)\",\n                \"Output\"\n            ]\n        }\n    ],\n    \"plugins\": [\n        \"M Wave Shaper\"\n    ],\n    \"id\": \"bc0fc9b7-c71d-4e71-9bad-ae43981c0502\",\n    \"creator_id\": \"fe6c0395-c687-4c44-9fb5-f32ad80bfd3f\",\n    \"source_quality\": \"structured\",\n    \"view_count\": 0,\n    \"review_status\": \"draft\",\n    \"created_at\": \"2026-03-30T04:44:40.131868\",\n    \"updated_at\": \"2026-03-30T04:44:40.131874\",\n    \"key_moments\": [\n        {\n            \"id\": \"29abb6e3-b470-43d7-867d-530560ee23ab\",\n            \"title\": \"Introduction to M Wave Shaper Plugin\",\n            \"summary\": \"The M Wave Shaper from Melda Production's Free Bundle is introduced as a key tool for wave shaping.\",\n            \"start_time\": 3.0,\n            \"end_time\": 7.4,\n            \"content_type\": \"workflow\",\n            \"plugins\": [\n                \"M Wave Shaper\"\n            ]\n        },\n        {\n            \"id\": \"dbde3182-62ba-4f78-9f87-edfd91ed16f7\",\n            \"title\": \"Capabilities of M Wave Shaper\",\n            \"summary\": \"The plugin is highlighted for its powerful distortion capabilities and versatility in sound design.\",\n            \"start_time\": 7.4,\n            \"end_time\": 11.9,\n            \"content_type\": \"reasoning\",\n            \"plugins\": [\n                \"M Wave Shaper\"\n            ]\n        },\n        {\n            \"id\": \"f80210d7-43bd-4eae-bda5-95a2f2657936\",\n            \"title\": \"Transfer Curve Input/Output Relationship\",\n            \"summary\": \"Explains the transfer curve's x-axis as input and y-axis as output. A straight diagonal line indicates input matches output with no sound alteration.\",\n            \"start_time\": 16.4,\n            \"end_time\": 33.6,\n            \"content_type\": \"reasoning\",\n            \"plugins\": null\n        },\n        {\n            \"id\": \"8b7a8f74-b592-45b5-97d8-1f1037922cf7\",\n            \"title\": \"Sine Wave with Level Modulation\",\n            \"summary\": \"Uses a sine wave with level modulation to create dynamics. This demonstrates how distortion responds to varying input levels.\",\n"}],"isError":false,"timestamp":1774853071798}}
{"type":"message","id":"c177ab05","parentId":"dcfed448","timestamp":"2026-03-30T06:44:38.813Z","message":{"role":"assistant","content":[{"type":"text","text":"The key moments don't have `source_video_id` or video filename in the response. Per the spec, each key moment row should show \"source video filename, clickable timestamp.\"\n\nNow let me check the signal chain rendering — the spec says \"signal chain blocks rendered in monospace.\" The current frontend renders them as ordered lists. Let me check if there's a reference HTML anywhere."},{"type":"toolCall","id":"toolu_01KAGTY9F4rygZSQWW7MQ6VY","name":"bash","arguments":{"command":"find . -name \"*.html\" -not -path \"*/node_modules/*\" -not -path \"*/dist/*\" -not -path \"*/.venv/*\" | head -10"}},{"type":"toolCall","id":"toolu_016yDxHMAt1ycafpHyaRSFed","name":"bash","arguments":{"command":"rg \"reference HTML\" .gsd/ -r \"$0\" | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":228,"cacheRead":91418,"cacheWrite":1554,"totalTokens":93201,"cost":{"input":0.000005,"output":0.0057,"cacheRead":0.045709,"cacheWrite":0.0097125,"total":0.0611265}},"stopReason":"toolUse","timestamp":1774853071799}}
{"type":"message","id":"c74641b0","parentId":"c177ab05","timestamp":"2026-03-30T06:44:38.863Z","message":{"role":"toolResult","toolCallId":"toolu_01KAGTY9F4rygZSQWW7MQ6VY","toolName":"bash","content":[{"type":"text","text":"./frontend/index.html\n"}],"isError":false,"timestamp":1774853078863}}
{"type":"message","id":"d61e7c8c","parentId":"c74641b0","timestamp":"2026-03-30T06:44:38.868Z","message":{"role":"toolResult","toolCallId":"toolu_016yDxHMAt1ycafpHyaRSFed","toolName":"bash","content":[{"type":"text","text":" read technique → under 30 seconds.\\n**Primary Owner:** M001/S05\\n\\n---\\n\\n[...truncated 3 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 this slice should watch out for.\\n\\n- (no dependencies)\\n\\n## Your Role in the Pipeline\\n\\nYou have full tool access. Before decomposing, explore the relevant code to ground your plan in reality.\\n\\n### Verify Roadmap Assumptions\\n\\nCheck prior slice summaries (inlined above as dependency summaries, if present). If prior slices discovered constraints, changed approaches, or flagged fragility, adjust your plan accordingly. The roadmap description may be stale — verify it against the current codebase state.\\n\\n### Explore Slice Scope\\n\\nRead the code files relevant to this slice. Confirm the roadmap's description of what exists, what needs to change, and what boundaries apply. Use `rg`, `find`, and targeted reads.\\n\\n### Source Files\\n\\n- **Requirements**: `.gsd/REQUIREMENTS.md`\\n- **Decisions**: `.gsd/DECISIONS.md`\\n- **Roadmap**: `.gsd/milestones/M004/M004-ROADMAP.md`\\n- **Slice Research**: `.gsd/milestones/M004/slices/S02/S02-RESEARCH.md`\\n\\nIf slice research exists (inlined above), trust those findings and skip redundant exploration.\\n\\nAfter you finish, **executor agents** implement each task in isolated fresh context windows. They see only their task plan, the slice plan excerpt (goal/demo/verification), and compressed summaries of prior tasks. They do not see the research doc, the roadmap, or REQUIREMENTS.md. Everything an executor needs must be in the task plan itself — file paths, specific steps, expected inputs and outputs.\\n\\nNarrate your decomposition reasoning — why you're grouping work this way, what risks are driving the order, what verification strategy you're choosing and why. Keep the narration proportional to the work — a simple slice doesn't need a long justification — but write in complete sentences, not planner shorthand.\\n\\n**Right-size the plan.** If the slice is simple enough to be 1 task, plan 1 task. Don't split into multiple tasks just because you can identify sub-steps. Don't fill in sections with \\\"None\\\" when the section doesn't apply — omit them entirely. The plan's job is to guide execution, not to fill a template.\\n\",\"display\":false,\"id\":\"5ed820d1\",\"parentId\":\"a0a80068\",\"timestamp\":\"2026-03-30T06:30:21.965Z\"}\n.gsd/milestones/M004/M004-ROADMAP.md:Fix the immediate bugs (422 errors, creators page), apply a dark mode theme with cyan accents and fix mobile responsive issues, redesign the technique page to match the /bin/bash (proper sections, signal chain blocks, key moments with video source), and introduce article versioning with pipeline tuning metadata for benchmarking extraction quality across prompt iterations.\n.gsd/milestones/M004/M004-ROADMAP.md:| S03 | Technique Page Redesign + Video Source on Moments | medium | S01 | ⬜ | Technique page matches /bin/bash layout with video source on key moments, signal chain blocks, and proper section structure |\n.gsd/activity/035-research-slice-M004-S02.jsonl:{\"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 S02 (\\\"Dark Theme + Cyan Accents + Mobile Responsive Fix\\\") — Milestone M004\\n\\n## Inlined Context (preloaded — do not re-read these files)\\n\\n### Milestone Roadmap\\nSource: `.gsd/milestones/M004/M004-ROADMAP.md`\\n\\n# M004: \\n\\n## Vision\\nFix the immediate bugs (422 errors, creators page), apply a dark mode theme with cyan accents and fix mobile responsive issues, redesign the technique page to match the /bin/bash (proper sections, signal chain blocks, key moments with video source), and introduce article versioning with pipeline tuning metadata for benchmarking extraction quality across prompt iterations.\\n\\n## Slice Overview\\n| ID | Slice | Risk | Depends | Done | After this |\\n|----|-------|------|---------|------|------------|\\n| S01 | Fix API Bugs — Review Detail 422 + Creators Page | low | — | ✅ | Review detail page and creators page load without errors using real pipeline data |\\n| S02 | Dark Theme + Cyan Accents + Mobile Responsive Fix | medium | — | ⬜ | App uses dark theme with cyan accents, no horizontal scroll on mobile |\\n| S03 | Technique Page Redesign + Video Source on Moments | medium | S01 | ⬜ | Technique page matches /bin/bash layout with video source on key moments, signal chain blocks, and proper section structure |\\n| S04 | Article Versioning + Pipeline Tuning Metadata | high | S03 | ⬜ | Technique pages track version history with pipeline metadata; API returns version list |\\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\\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### Project Knowledge\\nSource: `.gsd/KNOWLEDGE.md`\\n\\n# KNOWLEDGE\\n\\n## SQLAlchemy column names that shadow ORM functions\\n\\n**Context:** If a model has a column named `relationship` (or any other ORM function name like `query`, `metadata`), Python resolves the name to the column's `MappedColumn` descriptor within the class body. This causes `relationship(...)` calls below it to fail with \\\"MappedColumn object is not callable\\\".\\n\\n**Fix:** Import with an alias: `from sqlalchemy.orm import relationship as sa_relationship` and use `sa_relationship(...)` throughout. Alternatively, rename the database column, but the spec defines `relationship` as the column name so we preserved it.\\n\\n## Docker Compose variable interpolation and `:?` syntax\\n\\n**Context:** `${VAR:?error message}` in docker-compose.yml makes `docker compose config` fail when the variable is unset, even if `env_file: required: false` is used. The `required: false` only controls whether the `.env` file must exist — it does NOT provide defaults for variables referenced with `:?`.\\n\\n**Fix:** Use `${VAR:-default}` for variables that need a fallback, or ensure the variable is always set in the environment.\\n\\n## Host port 8000 conflict with kerf-engine\\n\\n**Context:** The kerf-engine Docker container (`kerf-engine-kerf-engine-1`) binds to `0.0.0.0:8000`. When testing the Chrysopedia API locally (outside Docker), curl requests to `localhost:8000` hit the kerf-engine container instead of the local uvicorn process, even when uvicorn binds to `127.0.0.1:8000`.\\n\\n**Fix:** Use an alternate port (e.g., 8001) for local testing. In Docker Compose, chrysopedia-api maps `127.0.0.1:8000:8000` which is fine because it goes through Docker's port forwarding, but will conflict with kerf-engine if both stacks run simultaneously. Consider changing one project's external port mapping.\\n\\n## asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns\\n\\n**Context:** SQLAlchemy models using `default=datetime.now(timezone.utc)` produce timezone-aware Python datetimes. When the PostgreSQL column type is `TIMESTAMP WITHOUT TIME ZONE` (the default), asyncpg raises `DataError: can't subtract offset-naive and offset-aware datetimes`. This only surfaces when running against a real PostgreSQL database — SQLite-based tests won't catch it.\\n\\n**Fix:** Use `datetime.now(timezone.utc).replace(tzinfo=None)` in the `_now()` helper, or change the column type to `TIMESTAMP WITH TIME ZONE`. We chose the former since the existing schema uses naive timestamps.\\n\\n## asyncpg NullPool required for pytest-asyncio integration tests\\n\\n**Context:** When using a session-scoped SQLAlchemy async engine with asyncpg in pytest-asyncio tests, the connection pool reuses connections across fixtures and test functions. This causes `InterfaceError: cannot perform operation: another operation is in progress` because the ASGI test client's session holds a connection while cleanup/verification fixtures try to use the same pool.\\n\\n**Fix:** Use `poolclass=NullPool` when creating the test engine. Each connection is created fresh and immediately closed, eliminating contention. Performance cost is negligible for test suites.\\n\\n## Testing Celery tasks that use sync SQLAlchemy: patch module-level globals\\n\\n**Context:** Pipeline stages in `pipeline/stages.py` create their own sync SQLAlchemy engine/session via module-level `_engine` and `_SessionLocal` globals (because Celery is sync, not async). Tests need to redirect these to the test database, but the engine is created lazily at module scope.\\n\\n**Fix:** Patch the module globals directly: `unittest.mock.patch.object(stages, '_engine', test_engine)` and `unittest.mock.patch.object(stages, '_SessionLocal', test_session_factory)`. This redirects all DB access in stage functions to the test database without modifying production code.\\n\\n## Lazy imports in FastAPI handlers defeat simple mock patching\\n\\n**Context:** When a FastAPI handler imports a function lazily (inside the function body) like `from pipeline.stages import run_pipeline`, patching `routers.ingest.run_pipeline` has no effect because the name is re-bound on every call from the source module.\\n\\n**Fix:** Patch at the source module: `unittest.mock.patch('pipeline.stages.run_pipeline')`. The lazy import will pick up the mock from the source module. This applies to any handler that uses lazy imports to avoid circular dependencies at module load time.\\n\\n## Separate async/sync clients for FastAPI vs Celery\\n\\n**Context:** The Chrysopedia backend has both sync Celery tasks (pipeline stages using `openai.OpenAI`, `QdrantClient`, sync SQLAlchemy) and async FastAPI handlers. Reusing sync clients in async handlers blocks the event loop; reusing async clients in Celery risks nested event loop errors.\\n\\n**Fix:** Create separate client classes: `SearchService` (async, for FastAPI request path) wraps `openai.AsyncOpenAI` and `AsyncQdrantClient`. The pipeline's `EmbeddingClient` and `QdrantManager` (sync, for Celery) remain untouched. This doubles the client code surface but eliminates the async/sync mismatch class of bugs entirely.\\n\\n## Mocking SearchService at the router dependency level for tests\\n\\n**Context:** The search endpoint creates a `SearchService` instance internally. Testing search results with real embedding API and Qdrant is fragile (external dependencies). Mocking individual `openai.AsyncOpenAI` or `AsyncQdrantClient` is complex.\\n\\n**Fix:** Mock `SearchService` at the router level by patching the service instance in the endpoint function. This gives full control over search results in tests without complex async mock setup. Used in `test_search.py` — mock returns canned `SearchResponse` dicts.\\n\\n## Frontend detail page without a single-resource GET endpoint\\n\\n**Context:** The review queue backend has `GET /review/queue` (list, paginated) but no `GET /review/moments/{id}` for fetching a single moment. The MomentDetail page needs to display one specific moment by ID from the URL params.\\n\\n**Fix:** MomentDetail fetches the full queue with `limit=500` and filters client-side by ID. This works for a single-admin tool with small datasets but would not scale. If the moment count grows significantly, add a dedicated `GET /review/moments/{id}` endpoint to the review router.\\n\\n## Stage 4 classification data stored in Redis (not DB columns)\\n\\n**Context:** The KeyMoment SQLAlchemy model doesn't have `topic_tags` or `topic_category` columns. Stage 4 classification needs somewhere to store per-moment tag assignments that stage 5 can read.\\n\\n**Fix:** Store classification results in Redis under key `chrysopedia:classification:{video_id}` with a 24-hour TTL. Stage 5 reads from Redis. This avoids schema migrations during initial pipeline development. The data is ephemeral — if Redis loses it, re-running stage 4 regenerates it.\\n\\n## QdrantManager uses random UUIDs for point IDs\\n\\n**Context:** `QdrantManager.upsert_technique_pages()` and `upsert_key_moments()` generate `uuid4()` for each Qdrant point. Re-indexing the same content creates duplicate points rather than updating existing ones.\\n\\n**Fix (deferred):** Use deterministic UUIDs based on content hash (e.g., `uuid5(NAMESPACE, f\\\"{technique_slug}:{section}\\\")`) so re-indexing overwrites the same points. This should be addressed before running the pipeline on production data to avoid index bloat.\\n\\n## Non-blocking side-effect pattern for external service calls in pipelines\\n\\n**Context:** Celery pipeline stages that call external services (embedding API, Qdrant) should not fail the entire pipeline if those services are down. Stage 6 (embed_and_index) is valuable but not critical — the pipeline's primary output (technique pages in PostgreSQL) doesn't depend on it.\\n\\n**Fix:** Use `max_retries=0` and a catch-all exception handler that logs WARNING and returns without raising. The pipeline orchestrator chains stage 6 after stage 5 but a failure there doesn't prevent `processing_status` from reaching its final state. This pattern applies to any \\\"best-effort enrichment\\\" stage in a pipeline.\\n\\n## Container healthcheck tool availability varies by base image\\n\\n**Context:** Qdrant (distroless-ish), Ollama, and nginx-alpine images don't have curl or wget. Standard healthcheck patterns like `curl -f http://localhost:PORT/health` fail silently inside these containers.\\n\\n**Fix by image:**\\n- **Ollama:** Use `ollama list` (built-in CLI)\\n- **Qdrant:** Use `bash -c 'echo > /dev/tcp/localhost/6333'` (bash is available)\\n- **nginx-alpine:** Use `curl` (available) but NOT busybox `wget` (fails on localhost)\\n- **Celery worker (same image as API):** Use `celery -A worker inspect ping` instead of HTTP healthcheck\\n\\n**Rule:** Always `docker exec <container> <healthcheck-cmd>` to verify the command works before deploying.\\n\\n## XPLTD domain setup flow\\n\\n**Context:** Adding a new external domain (like chrysopedia.com) to the XPLTD infrastructure requires three steps across two machines.\\n\\n**Flow:**\\n1. **AdGuard on ub01 (10.0.0.10):** Add DNS rewrite via API: `POST /control/rewrite/add` with `{domain, answer: \\\"10.0.0.9\\\"}`\\n2. **nginx on nuc01 (10.0.0.9):** Create server block in `/etc/nginx/sites-enabled/{domain}.conf` with `proxy_pass http://10.0.0.10:{port}`\\n3. **Certbot on nuc01:** `sudo certbot --nginx -d {domain}` (requires external DNS A record or CNAME pointing to public IP first)\\n\\n**Note:** The AD DNS servers (10.0.0.15/.16) may already have CNAME entries for domains. Check `nslookup {domain} 10.0.0.15` before assuming setup is needed. ub01's resolv.conf uses AD DNS, not AdGuard, so `curl {domain}` from ub01 requires the AD DNS chain to resolve.\\n\\n## Alembic env.py sys.path needs both local and Docker paths\\n\\n**Context:** Alembic's env.py imports from `database` and `models`, which live in `backend/` locally but at `/app/` (the WORKDIR) inside Docker. The original `sys.path.insert(0, \\\"../backend\\\")` works locally but fails in Docker.\\n\\n**Fix:** Add both paths: `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \\\"..\\\", \\\"backend\\\"))` AND `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \\\"..\\\"))`. The second resolves to `/app/` inside Docker.\\n\\n---\\n\\n# {{scope}} — Research\\n\\n**Date:** {{date}}\\n\\n<!-- Required sections: Summary, Recommendation, Implementation Landscape.\\n     All other sections: include only when they have real content.\\n     For light research (straightforward work with known patterns),\\n     the required sections alone are sufficient. -->\\n\\n## Summary\\n\\n{{summary — 2-3 paragraphs with primary recommendation}}\\n\\n## Recommendation\\n\\n{{whatApproachToTake_AND_why}}\\n\\n## Implementation Landscape\\n\\n<!-- This section is the primary input for the planner agent.\\n     Be specific — file paths, function names, patterns to follow.\\n     The planner uses this to scope tasks to files and decide build order. -->\\n\\n### Key Files\\n\\n- `{{filePath}}` — {{whatItDoesAndHowItRelates}}\\n- `{{filePath}}` — {{whatNeedsToChange}}\\n\\n### Build Order\\n\\n{{whatToProveOrBuildFirst_AND_why — whatUnblocksDownstreamWork}}\\n\\n### Verification Approach\\n\\n{{howToConfirmTheSliceWorks — commands, tests, observable behaviors}}\\n\\n<!-- Sections below: include when applicable, omit entirely when not. -->\\n\\n## Don't Hand-Roll\\n\\n<!-- Include when existing libraries/tools solve problems the slice would otherwise reimplement. -->\\n\\n| Problem | Existing Solution | Why Use It |\\n|---------|------------------|------------|\\n| {{problem}} | {{solution}} | {{why}} |\\n\\n## Constraints\\n\\n<!-- Include when the codebase, runtime, or dependencies impose hard limits on approach. -->\\n\\n- {{hardConstraintFromCodebaseOrRuntime}}\\n- {{constraintFromDependencies}}\\n\\n## Common Pitfalls\\n\\n<!-- Include when there are non-obvious failure modes worth flagging. -->\\n\\n- **{{pitfall}}** — {{howToAvoid}}\\n- **{{pitfall}}** — {{howToAvoid}}\\n\\n## Open Risks\\n\\n<!-- Include when execution could hit unknowns that affect the plan. -->\\n\\n- {{riskThatCouldSurfaceDuringExecution}}\\n\\n## Skills Discovered\\n\\n<!-- Include when skill discovery found relevant skills. -->\\n\\n| Technology | Skill | Status |\\n|------------|-------|--------|\\n| {{technology}} | {{owner/repo@skill}} | {{installed / available / none found}} |\\n\\n## Sources\\n\\n<!-- Include when external docs, articles, or references informed the research. -->\\n\\n- {{whatWasLearned}} (source: [{{title}}]({{url}}))\\n\\n### Output Template: Research\\nSource: `templates/research.md`\\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: M004`, `slice_id: S02`, `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/M004/slices/S02/`. Do NOT mkdir.\\n\\n**You MUST call `gsd_summary_save` with the research content before finishing.**\\n\\nWhen done, say: \\\"Slice S02 researched.\\\"\",\"display\":false,\"id\":\"3573447d\",\"parentId\":\"e28b7149\",\"timestamp\":\"2026-03-30T06:27:48.321Z\"}\n"}],"isError":false,"timestamp":1774853078863}}
{"type":"message","id":"5394125c","parentId":"d61e7c8c","timestamp":"2026-03-30T06:44:44.609Z","message":{"role":"assistant","content":[{"type":"text","text":"The \"reference HTML\" mentioned in the roadmap vision actually refers to the spec sections (4.4). There's no standalone HTML file — it means matching the spec's layout. Let me also check the existing Alembic migration setup so I understand the migration path."},{"type":"toolCall","id":"toolu_01S71AwaTm21BC8Cv3Vpe4Am","name":"bash","arguments":{"command":"ls backend/alembic/versions/ 2>/dev/null | head -10"}},{"type":"toolCall","id":"toolu_01DLR9XSqJr8Lx3rwdY3S9Mg","name":"bash","arguments":{"command":"rg \"source_video\" backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":176,"cacheRead":92972,"cacheWrite":10407,"totalTokens":103556,"cost":{"input":0.000005,"output":0.0044,"cacheRead":0.046486,"cacheWrite":0.06504375,"total":0.11593475}},"stopReason":"toolUse","timestamp":1774853078864}}
{"type":"message","id":"b839c5c3","parentId":"5394125c","timestamp":"2026-03-30T06:44:44.622Z","message":{"role":"toolResult","toolCallId":"toolu_01S71AwaTm21BC8Cv3Vpe4Am","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774853084622}}
{"type":"message","id":"534e6818","parentId":"b839c5c3","timestamp":"2026-03-30T06:44:44.632Z","message":{"role":"toolResult","toolCallId":"toolu_01DLR9XSqJr8Lx3rwdY3S9Mg","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1774853084629}}
{"type":"message","id":"55e26840","parentId":"534e6818","timestamp":"2026-03-30T06:44:48.338Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01CC3P1aLX5gBEEzb7z6NMN5","name":"bash","arguments":{"command":"find backend -name \"alembic*\" -o -name \"versions\" | head -10"}},{"type":"toolCall","id":"toolu_01K4HbNJaA9ZYyigPRe9s3BX","name":"bash","arguments":{"command":"find . -name \"alembic*\" -not -path \"*/.venv/*\" | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":130,"cacheRead":103379,"cacheWrite":250,"totalTokens":103760,"cost":{"input":0.000005,"output":0.0032500000000000003,"cacheRead":0.0516895,"cacheWrite":0.0015625,"total":0.056507}},"stopReason":"toolUse","timestamp":1774853084630}}
{"type":"message","id":"46ce0119","parentId":"55e26840","timestamp":"2026-03-30T06:44:48.351Z","message":{"role":"toolResult","toolCallId":"toolu_01CC3P1aLX5gBEEzb7z6NMN5","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774853088351}}
{"type":"message","id":"249ac635","parentId":"46ce0119","timestamp":"2026-03-30T06:44:48.390Z","message":{"role":"toolResult","toolCallId":"toolu_01K4HbNJaA9ZYyigPRe9s3BX","toolName":"bash","content":[{"type":"text","text":"./alembic.ini\n./alembic\n"}],"isError":false,"timestamp":1774853088388}}
{"type":"message","id":"d330ef2a","parentId":"249ac635","timestamp":"2026-03-30T06:44:51.839Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013JTdeKsU2KFcLHmGpPxz4R","name":"bash","arguments":{"command":"ls alembic/versions/ | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":62,"cacheRead":103629,"cacheWrite":205,"totalTokens":103897,"cost":{"input":0.000005,"output":0.0015500000000000002,"cacheRead":0.0518145,"cacheWrite":0.00128125,"total":0.05465075}},"stopReason":"toolUse","timestamp":1774853088389}}
{"type":"message","id":"4a29e37b","parentId":"d330ef2a","timestamp":"2026-03-30T06:44:51.859Z","message":{"role":"toolResult","toolCallId":"toolu_013JTdeKsU2KFcLHmGpPxz4R","toolName":"bash","content":[{"type":"text","text":"001_initial.py\n__pycache__\n"}],"isError":false,"timestamp":1774853091857}}
{"type":"message","id":"6f5b6d45","parentId":"4a29e37b","timestamp":"2026-03-30T06:44:57.438Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — there's only the initial migration. No schema changes have been made via Alembic since. The key moments table needs the source video info. But looking more carefully, `KeyMoment` already has `source_video_id` FK — the issue is just that the API endpoint doesn't join/load the SourceVideo relationship for each moment and return the filename.\n\nLet me verify that:"},{"type":"toolCall","id":"toolu_01GVuXMqXbi84gKnv8xqa455","name":"bash","arguments":{"command":"rg \"source_video\" backend/models.py | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":154,"cacheRead":103834,"cacheWrite":86,"totalTokens":104075,"cost":{"input":0.000005,"output":0.00385,"cacheRead":0.051917,"cacheWrite":0.0005375,"total":0.0563095}},"stopReason":"toolUse","timestamp":1774853091858}}
{"type":"message","id":"492844c0","parentId":"6f5b6d45","timestamp":"2026-03-30T06:44:57.456Z","message":{"role":"toolResult","toolCallId":"toolu_01GVuXMqXbi84gKnv8xqa455","toolName":"bash","content":[{"type":"text","text":"    __tablename__ = \"source_videos\"\n    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n"}],"isError":false,"timestamp":1774853097454}}
{"type":"message","id":"d04bd7aa","parentId":"492844c0","timestamp":"2026-03-30T06:45:08.248Z","message":{"role":"assistant","content":[{"type":"text","text":"`KeyMoment.source_video` relationship already exists. The backend just needs to:\n1. Eager-load `source_video` on key_moments in the technique detail query\n2. Add `video_filename` to the `KeyMomentSummary` Pydantic schema\n3. Populate it from `km.source_video.filename`\n\nNo schema migration needed — this is purely a query/serialization change.\n\nNow let me understand the full gap between current state and spec §4.4:\n\n**Current state vs spec:**\n1. ✅ Header with tags, title, creator link — exists\n2. ❌ Meta line \"Compiled from N sources · M key moments · Last updated [date]\" — missing\n3. ✅ Amber banner for unstructured content — exists\n4. ✅ Study guide prose sections — exists but body_sections render could be improved\n5. ❌ Signal chain blocks should render in styled monospace — currently renders as `<ol>` lists\n6. ❌ Key moments should show source video filename — API doesn't return it\n7. ✅ Related techniques — exists\n8. ✅ Plugins referenced — exists\n\nThe scope is clear. Let me check the S02 summary for dark theme context (since it was completed):"},{"type":"toolCall","id":"toolu_01CzAdpoH9LRaGSXk6kp6gQt","name":"read","arguments":{"path":".gsd/milestones/M004/slices/S02/S02-SUMMARY.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":374,"cacheRead":103920,"cacheWrite":371,"totalTokens":104666,"cost":{"input":0.000005,"output":0.00935,"cacheRead":0.05196,"cacheWrite":0.00231875,"total":0.06363375}},"stopReason":"toolUse","timestamp":1774853097455}}
{"type":"message","id":"041a4836","parentId":"d04bd7aa","timestamp":"2026-03-30T06:45:08.253Z","message":{"role":"toolResult","toolCallId":"toolu_01CzAdpoH9LRaGSXk6kp6gQt","toolName":"read","content":[{"type":"text","text":"---\nid: S02\nparent: M004\nmilestone: M004\nprovides:\n  - Dark theme CSS custom property system (77 tokens) for downstream slices to consume\n  - Mobile-safe responsive layout baseline\nrequires:\n  []\naffects:\n  - S03\n  - S04\nkey_files:\n  - frontend/src/App.css\n  - frontend/index.html\nkey_decisions:\n  - 77 semantic CSS custom properties in :root (vs ~30 planned) to fully eliminate all hardcoded colors\n  - Cyan #22d3ee replaces indigo #6366f1 as the accent color throughout the UI\n  - Dark-tinted badge backgrounds for readable status badges on dark theme\n  - overflow-x:hidden on html,body as global mobile overflow safety net\n  - mode-toggle label uses overflow:hidden + text-overflow:ellipsis for controlled truncation on mobile\npatterns_established:\n  - All colors in App.css use var(--*) references — any future CSS must use existing tokens or define new ones in the :root block, never hardcode hex/rgba values\n  - Mobile overflow prevention: html,body overflow-x:hidden as global safety net, plus targeted flex-wrap/overflow:hidden on components that use white-space:nowrap\nobservability_surfaces:\n  - none\ndrill_down_paths:\n  - .gsd/milestones/M004/slices/S02/tasks/T01-SUMMARY.md\n  - .gsd/milestones/M004/slices/S02/tasks/T02-SUMMARY.md\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T06:42:29.412Z\nblocker_discovered: false\n---\n\n# S02: Dark Theme + Cyan Accents + Mobile Responsive Fix\n\n**Replaced all 193 hex colors and 24 rgba values in App.css with 77 CSS custom properties establishing a dark theme with cyan accents, fixed mobile horizontal overflow, and updated HTML metadata.**\n\n## What Happened\n\nThis slice converted the entire Chrysopedia frontend from hardcoded colors to a semantic CSS custom property system and fixed mobile responsive issues.\n\n**T01 — CSS Custom Properties + Dark Theme:** Audited all ~1770 lines of App.css, identified 193 hex color references and 24 rgba values, and replaced every one with `var(--*)` references. Defined 77 semantic tokens in a `:root` block covering: page/surface/input backgrounds, primary/secondary/muted text, borders, cyan accent (replacing indigo throughout), status badge variants (pending/approved/edited/rejected with dark-appropriate tints), button states, shadows, overlays, header/transcript backgrounds, error states, and active tab/filter indicators. The token count grew from the planned ~30 to 77 because full coverage of the existing design required finer semantic distinctions — e.g., separate hover, focus, and subtle variants for the accent color, distinct badge background/text pairs for dark readability, and separate shadow weights for cards vs dialogs.\n\n**T02 — Mobile Responsive + HTML Metadata:** Added `overflow-x: hidden` to `html, body` as a global safety net against horizontal scroll. Fixed three specific overflow sources: mode-toggle label (added `overflow: hidden; text-overflow: ellipsis; max-width: 6rem`), creator-row stats (added `flex-wrap: wrap` in the 640px media query), and app-header__right (added `flex-wrap: wrap`). Updated index.html title from \"Chrysopedia Admin\" to \"Chrysopedia\" and added `<meta name=\"theme-color\" content=\"#0a0a12\">` for mobile browser chrome coloring. Deployed to ub01 and visually verified at desktop (1280×800) and mobile (390×844) viewports — dark theme renders correctly, no horizontal scrollbar on any tested page.\n\n## Verification\n\nAll slice-level verification checks pass:\n- `npm run build` exits 0 (clean build, no warnings)\n- Hex colors outside `:root` block: 0 (all 77 hex values are inside `:root` definitions only)\n- CSS `var(--` references: 217 (exceeds 190+ threshold)\n- `rgba()` outside `:root` block: 0\n- `overflow-x` rule present in App.css\n- `<title>Chrysopedia</title>` confirmed in index.html\n- `<meta name=\"theme-color\">` confirmed in index.html\n- Browser verification at 390px mobile viewport: scrollWidth === clientWidth (no horizontal overflow)\n- Visual verification on Home, Topics, and Creators pages at both desktop and mobile viewports confirms dark theme renders correctly\n\n## Requirements Advanced\n\nNone.\n\n## Requirements Validated\n\nNone.\n\n## New Requirements Surfaced\n\nNone.\n\n## Requirements Invalidated or Re-scoped\n\nNone.\n\n## Deviations\n\nToken count grew from planned ~30 to 77 CSS custom properties — needed finer semantic granularity to fully eliminate all hardcoded colors. `.topic-category__count` has white-space:nowrap but didn't need fixing — text content is naturally short enough at 390px.\n\n## Known Limitations\n\nCreators page returns API 422 on ub01 — this is a pre-existing backend issue (addressed in S01), not caused by this slice. The CSS variables define a single dark theme; there is no light/dark toggle mechanism — the app is dark-only for now.\n\n## Follow-ups\n\nNone.\n\n## Files Created/Modified\n\n- `frontend/src/App.css` — Added 77 CSS custom properties in :root block, replaced all 193 hex colors and 24 rgba values with var(--*) references, added html/body overflow-x:hidden, fixed mode-toggle label truncation, creator-row stats wrapping, and header flex-wrap for mobile\n- `frontend/index.html` — Changed title from 'Chrysopedia Admin' to 'Chrysopedia', added <meta name=\"theme-color\" content=\"#0a0a12\">\n"}],"isError":false,"timestamp":1774853108251}}
{"type":"message","id":"b2a84716","parentId":"041a4836","timestamp":"2026-03-30T06:45:48.825Z","message":{"role":"assistant","content":[{"type":"text","text":"Important: S02 established the CSS custom property system. Any new CSS for the technique page redesign must use `var(--*)` tokens, never hardcode colors.\n\nI have all the information I need. This is targeted research — known patterns in known code, moderate complexity in the backend join + frontend layout changes."},{"type":"toolCall","id":"toolu_018eQVS5o37CjkihaJd2y1r1","name":"gsd_summary_save","arguments":{"artifact_type":"RESEARCH","content":"# S03: Technique Page Redesign + Video Source on Moments — Research\n\n**Date:** 2026-03-30\n\n## Summary\n\nThis slice redesigns the technique page to match the spec §4.4 layout and adds video source filename to key moments. The main gap is that the API's `KeyMomentSummary` schema doesn't include the source video filename — key moments have a `source_video_id` FK but the technique detail endpoint doesn't eager-load the `source_video` relationship. No schema migration is needed — the `key_moments.source_video_id` FK already exists and the `SourceVideo.filename` column has the data (confirmed with real pipeline data on ub01).\n\nSecondary gaps: missing meta line (\"Compiled from N sources · M key moments · Last updated [date]\"), signal chains rendered as plain `<ol>` lists instead of styled monospace blocks, and the key moments section doesn't show the video filename per spec §4.4 point 3 (\"Each row: moment title, source video filename, clickable timestamp\").\n\nAll changes are within the existing patterns: backend query/schema additions follow the `selectinload` + Pydantic pattern already used for creator_info; frontend CSS must use `var(--*)` tokens per the S02 dark theme system (77 custom properties in `:root`, zero hardcoded colors allowed outside `:root`).\n\n## Recommendation\n\nSingle backend+frontend task is the cleanest approach. The backend change is small (add `selectinload(KeyMoment.source_video)`, extend `KeyMomentSummary` with `video_filename`, populate in endpoint), and the frontend changes depend directly on the new API shape. Signal chain rendering improvement and meta line are pure frontend CSS/JSX. All can be verified together with one deploy cycle.\n\n## Implementation Landscape\n\n### Key Files\n\n- `backend/routers/techniques.py` — The `get_technique()` endpoint builds the detail response. Needs: add `selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video)` to the query (chained selectinload for nested eager-load). In the response construction, populate `video_filename` from `km.source_video.filename`.\n- `backend/schemas.py` — `KeyMomentSummary` class. Add `video_filename: str = \"\"` field. Also add `source_video_id: str | None = None` (uuid serialized as string) for potential future use.\n- `frontend/src/api/public-client.ts` — `KeyMomentSummary` TypeScript interface. Add `video_filename: string` field.\n- `frontend/src/pages/TechniquePage.tsx` — Main redesign target. Changes needed:\n  1. Add meta line below title: \"Compiled from N sources · M key moments · Last updated [date]\" — compute `N` from `new Set(key_moments.map(km => km.video_filename)).size`, `M` from `key_moments.length`, date from `technique.updated_at`.\n  2. Key moments: show `km.video_filename` in each row, between title and timestamp.\n  3. Signal chains: replace `<ol>` list rendering with a styled monospace flow block (arrows between steps: `Step1 → Step2 → Step3`).\n- `frontend/src/App.css` — Add/modify CSS classes for: signal chain monospace blocks (`.technique-chain__flow`), video filename badge on key moments (`.technique-moment__source`), meta line (`.technique-header__stats`). All colors must use existing `var(--*)` tokens.\n\n### Existing Data Shape (confirmed on ub01)\n\n**body_sections:** `Record<string, string>` — keys are section titles, values are prose paragraphs. Current rendering handles this correctly.\n\n**signal_chains:** `Array<{name: string, steps: string[]}>` — currently rendered as `<h3>` + `<ol>`. Spec says \"monospace\" — redesign as horizontal flow with arrow separators.\n\n**key_moments join path:** `technique_pages → key_moments → source_videos`. The `KeyMoment.source_video` relationship already exists in models.py. Just needs `selectinload` in the query.\n\n**Real data:** 2 technique pages exist with 2 and 13 key moments respectively. All moments come from 1 source video each. Filename format: `\"Skope - Understanding Waveshapers (2160p).mp4\"`.\n\n### Build Order\n\n1. **Backend first** — extend `KeyMomentSummary` schema + eager-load source_video in technique detail endpoint. This unblocks frontend work and is independently verifiable via `curl`.\n2. **Frontend second** — update TypeScript types, then redesign TechniquePage.tsx with meta line, video filename on moments, monospace signal chains. CSS additions use existing dark theme tokens.\n3. **Deploy + verify** — rebuild containers on ub01 and verify with real data.\n\n### Verification Approach\n\n1. `curl http://ub01:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -m json.tool` — key_moments items should include `video_filename` field\n2. `cd frontend && npm run build` — zero TypeScript errors\n3. Deploy to ub01: `docker compose build && docker compose up -d`\n4. Browser verification at `http://ub01:8096/techniques/wave-shaping-synthesis-m-wave-shaper`:\n   - Meta line visible below title showing source count, moment count, last updated\n   - Each key moment row shows video filename\n   - Signal chains render as monospace flow blocks with arrows, not numbered lists\n   - All new CSS uses `var(--*)` tokens (grep verification: zero new hex colors outside `:root`)\n\n## Constraints\n\n- All CSS colors must use `var(--*)` tokens — S02 established 77 semantic custom properties and eliminated all hardcoded colors. Any new color must be defined as a new token in `:root` or use an existing one.\n- The chained `selectinload` pattern (`selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video)`) is required because the current query already uses `selectinload(TechniquePage.key_moments)`. Replacing it with a joined load would change the query shape for existing fields.\n- No Alembic migration needed — all data already exists in the DB schema.\n","milestone_id":"M004","slice_id":"S03"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1712,"cacheRead":104291,"cacheWrite":1800,"totalTokens":107804,"cost":{"input":0.000005,"output":0.042800000000000005,"cacheRead":0.0521455,"cacheWrite":0.011250000000000001,"total":0.10620049999999999}},"stopReason":"toolUse","timestamp":1774853108252}}
{"type":"message","id":"4ae9026f","parentId":"b2a84716","timestamp":"2026-03-30T06:45:48.831Z","message":{"role":"toolResult","toolCallId":"toolu_018eQVS5o37CjkihaJd2y1r1","toolName":"gsd_summary_save","content":[{"type":"text","text":"Saved RESEARCH artifact to milestones/M004/slices/S03/S03-RESEARCH.md"}],"details":{"operation":"save_summary","path":"milestones/M004/slices/S03/S03-RESEARCH.md","artifact_type":"RESEARCH"},"isError":false,"timestamp":1774853148829}}
{"type":"message","id":"5092b827","parentId":"4ae9026f","timestamp":"2026-03-30T06:45:52.848Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S03 researched."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":11,"cacheRead":106091,"cacheWrite":1750,"totalTokens":107853,"cost":{"input":0.000005,"output":0.000275,"cacheRead":0.053045499999999995,"cacheWrite":0.010937500000000001,"total":0.064263}},"stopReason":"stop","timestamp":1774853148830}}
