{"type":"thinking_level_change","id":"4c2d6333","parentId":null,"timestamp":"2026-03-30T06:45:53.190Z","thinkingLevel":"off"}
{"type":"model_change","id":"1c87ee46","parentId":"4c2d6333","timestamp":"2026-03-30T06:45:53.191Z","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## Executor Context Constraints\n\nThe agent that executes each task has a **200K token** context window.\n- Recommended task count for this slice: **2–6 tasks**\n- Each task gets ~320K chars of inline context (plans, code, decisions)\n- Keep individual tasks completable within a single context window — if a task needs more context than fits, split it\n\nThen:\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements the roadmap says this slice owns or supports. These are the requirements this plan must deliver — every owned requirement needs at least one task that directly advances it, and verification must prove the requirement is met.\n1. Read the templates:\n   - `~/.gsd/agent/extensions/gsd/templates/plan.md`\n   - `~/.gsd/agent/extensions/gsd/templates/task-plan.md`\n2.  Record the installed skills you expect executors to use in each task plan's `skills_used` frontmatter.\n3. Define slice-level verification — the objective stopping condition for this slice:\n   - For non-trivial slices: plan actual test files with real assertions. Name the files.\n   - For simple slices: executable commands or script assertions are fine.\n   - If the project is non-trivial and has no test framework, the first task should set one up.\n   - If this slice establishes a boundary contract, verification must exercise that contract.\n4. **For non-trivial slices only** — plan observability, proof level, and integration closure:\n   - Include `Observability / Diagnostics` for backend, integration, async, stateful, or UI slices where failure diagnosis matters.\n   - Fill `Proof Level` and `Integration Closure` when the slice crosses runtime boundaries or has meaningful integration concerns.\n   - **Omit these sections entirely for simple slices** where they would all be \"none\" or trivially obvious.\n5. **Quality gates** — for non-trivial slices, fill the Threat Surface (Q3) and Requirement Impact (Q4) sections in the slice plan:\n   - **Threat Surface:** Identify abuse scenarios, data exposure risks, and input trust boundaries. Required when the slice handles user input, authentication, authorization, or sensitive data. Omit entirely for internal refactoring or simple changes.\n   - **Requirement Impact:** List which existing requirements this slice touches, what must be re-verified after shipping, and which prior decisions should be reconsidered. Omit entirely if no existing requirements are affected.\n   - For each task in a non-trivial slice, fill Failure Modes (Q5), Load Profile (Q6), and Negative Tests (Q7) in the task plan when the task has external dependencies, shared resources, or non-trivial input handling. Omit for simple tasks.\n6. Decompose the slice into tasks, each fitting one context window. Each task needs:\n   - a concrete, action-oriented title\n   - the inline task entry fields defined in the plan.md template (Why / Files / Do / Verify / Done when)\n   - a matching task plan file with description, steps, must-haves, verification, inputs, and expected output\n   - **Inputs and Expected Output must list concrete backtick-wrapped file paths** (e.g. `` `src/types.ts` ``). These are machine-parsed to derive task dependencies — vague prose without paths breaks parallel execution. Every task must have at least one output file path.\n   - Observability Impact section **only if the task touches runtime boundaries, async flows, or error paths** — omit it otherwise\n7. **Persist planning state through `gsd_plan_slice`.** Call it with the full slice planning payload (goal, demo, must-haves, verification, tasks, and metadata). The tool inserts all tasks in the same transaction, writes to the DB, and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/S03-PLAN.md` and `.gsd/milestones/M004/slices/S03/tasks/T##-PLAN.md` files automatically. Do **not** call `gsd_plan_task` separately — `gsd_plan_slice` handles task persistence. Do **not** rely on direct `PLAN.md` writes as the source of truth; the DB-backed tool is the canonical write path for slice and task planning state.\n8. **Self-audit the plan.** Walk through each check — if any fail, fix the plan files before moving on:\n    - **Completion semantics:** If every task were completed exactly as written, the slice goal/demo should actually be true.\n    - **Requirement coverage:** Every must-have in the slice maps to at least one task. No must-have is orphaned. If `REQUIREMENTS.md` exists, every Active requirement this slice owns maps to at least one task.\n    - **Task completeness:** Every task has steps, must-haves, verification, inputs, and expected output — none are blank or vague. Inputs and Expected Output list backtick-wrapped file paths, not prose descriptions.\n    - **Dependency correctness:** Task ordering is consistent. No task references work from a later task.\n    - **Key links planned:** For every pair of artifacts that must connect, there is an explicit step that wires them.\n    - **Scope sanity:** Target 2–5 steps and 3–8 files per task. 10+ steps or 12+ files — must split. Each task must be completable in a single fresh context window.\n    - **Feature completeness:** Every task produces real, user-facing progress — not just internal scaffolding.\n    - **Quality gate coverage:** For non-trivial slices, Threat Surface and Requirement Impact sections are present and specific (not placeholder text). For non-trivial tasks, Failure Modes, Load Profile, and Negative Tests are addressed in the task plan.\n10. If planning produced structural decisions, append them to `.gsd/DECISIONS.md`\n11. Do not commit — .gsd/ planning docs are managed externally and not tracked in git.\n\nThe slice directory and tasks/ subdirectory already exist. Do NOT mkdir. All work stays in your working directory: `/home/aux/projects/content-to-kb-automator`.\n\n**You MUST call `gsd_plan_slice` to persist the planning state before finishing.**\n\nWhen done, say: \"Slice S03 planned.\"\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: Plan 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### Slice Research\nSource: `.gsd/milestones/M004/slices/S03/S03-RESEARCH.md`\n\n# 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\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[...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#### 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 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/S03/S03-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":"74079e11","parentId":"1c87ee46","timestamp":"2026-03-30T06:45:53.193Z"}
{"type":"message","id":"fe34e831","parentId":"74079e11","timestamp":"2026-03-30T06:45:57.783Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll start by reading the templates and exploring the current codebase to ground the plan."},{"type":"toolCall","id":"toolu_01VSZS9Cw9Jd2mx7S4twB9Gg","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_01XiYJLfk3BXMzxPakB9rtTj","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/task-plan.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":140,"cacheRead":56783,"cacheWrite":8955,"totalTokens":65880,"cost":{"input":0.00001,"output":0.0035,"cacheRead":0.0283915,"cacheWrite":0.055968750000000005,"total":0.08787025000000001}},"stopReason":"toolUse","timestamp":1774853153192}}
{"type":"message","id":"7c90a79a","parentId":"fe34e831","timestamp":"2026-03-30T06:45:57.788Z","message":{"role":"toolResult","toolCallId":"toolu_01VSZS9Cw9Jd2mx7S4twB9Gg","toolName":"read","content":[{"type":"text","text":"# {{sliceId}}: {{sliceTitle}}\n\n**Goal:** {{goal}}\n**Demo:** {{demo}}\n\n## Must-Haves\n\n- {{mustHave}}\n- {{mustHave}}\n\n## Threat Surface\n\n<!-- Q3: How can this be exploited? OMIT ENTIRELY for simple slices with no auth, user input, or data exposure. -->\n\n- **Abuse**: {{abuseScenarios — parameter tampering, replay, privilege escalation, or N/A}}\n- **Data exposure**: {{sensitiveDataAccessible — PII, tokens, secrets, or none}}\n- **Input trust**: {{untrustedInput — user input reaching DB/API/filesystem, or none}}\n\n## Requirement Impact\n\n<!-- Q4: What existing promises does this break? OMIT ENTIRELY if no existing requirements are affected. -->\n\n- **Requirements touched**: {{requirementIds — e.g. R001, R003, or none}}\n- **Re-verify**: {{whatMustBeRetested — e.g. login flow, API contract, or N/A}}\n- **Decisions revisited**: {{decisionIds — e.g. D002, or none}}\n\n## Proof Level\n\n<!-- Omit this section entirely for simple slices where the answer is trivially obvious. -->\n\n- This slice proves: {{contract | integration | operational | final-assembly}}\n- Real runtime required: {{yes/no}}\n- Human/UAT required: {{yes/no}}\n\n## Verification\n\n<!-- Define what \"done\" looks like BEFORE detailing tasks.\n     This section is the slice's objective stopping condition — execution isn't done\n     until everything here passes.\n\n     For non-trivial projects:\n     - Write actual test files into the codebase during the first task\n     - Tests should assert on the slice's demo outcome and boundary contracts\n     - Name the test files here so execution has an unambiguous target\n\n     For simple projects or scripts:\n     - Executable verification commands (bash assertions, curl checks, etc.) are sufficient\n\n     If the project has no test framework and the work is non-trivial,\n     the first task should set one up. A test runner costs 2 minutes\n     and pays for itself immediately.\n\n     For non-trivial backend, integration, async, stateful, or UI work:\n     - Include at least one verification check for an observability or failure-path signal\n     - Verify not just that the feature works, but that a future agent can inspect its state when it fails -->\n\n- {{testFileOrCommand — e.g. `npm test -- --grep \"auth flow\"` or `bash scripts/verify-s01.sh`}}\n- {{testFileOrCommand}}\n\n## Observability / Diagnostics\n\n<!-- Include this section for non-trivial backend, integration, async, stateful, or UI slices.\n     OMIT ENTIRELY for simple slices where all fields would be \"none\".\n\n     When included, describe how a future agent will inspect current state, detect failure,\n     and localize the problem with minimal ambiguity. Keep it concise and high-signal. -->\n\n- Runtime signals: {{structured log/event, state transition, metric, or none}}\n- Inspection surfaces: {{status endpoint, CLI command, script, UI state, DB table, or none}}\n- Failure visibility: {{last error, retry count, phase, timestamp, correlation id, or none}}\n- Redaction constraints: {{secret/PII boundary or none}}\n\n## Integration Closure\n\n<!-- Omit this section entirely for simple slices with no meaningful integration concerns. -->\n\n- Upstream surfaces consumed: {{specific files / modules / contracts}}\n- New wiring introduced in this slice: {{entrypoint / composition / runtime hookup, or none}}\n- What remains before the milestone is truly usable end-to-end: {{list or \"nothing\"}}\n\n## Tasks\n\n<!--\n  If every task below is completed exactly as written, the Goal and Demo above\n  should be true at the stated proof level. Tasks should close the loop on the\n  slice, not merely prepare for later work unless the Demo truthfully says the\n  slice only proves fixture/contract-level behavior.\n\n  Write each task as an executable increment, not a vague intention.\n\n  Prefer action-oriented titles:\n  - \"Wire real auth middleware into dashboard routes\"\n  - \"Persist job status and expose failure diagnostics\"\n  - \"Add browser test covering empty-state recovery\"\n\n  Avoid vague titles:\n  - \"Set up auth\"\n  - \"Handle errors\"\n  - \"Improve UI\"\n\n  Each task should usually include:\n  - Why: why this task exists / what part of the slice it closes\n  - Files: the main files likely touched\n  - Do: concrete implementation steps and important constraints\n  - Verify: the command, test, or runtime check that proves it worked\n  - Done when: a measurable acceptance condition\n\n  Keep the checkbox line format exactly:\n  - [ ] **T01: Title** `est:30m`\n-->\n\n- [ ] **T01: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n- [ ] **T02: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n<!--\n  Format rules (parsers depend on this exact structure):\n  - Checkbox line: - [ ] **T01: Title** `est:30m`\n  - Description:   indented text on the next line(s)\n  - Mark done:     change [ ] to [x]\n  - Tasks execute sequentially in order (T01, T02, T03, ...)\n  - est: is informational (e.g. 30m, 1h, 2h) and optional\n\n  Verify field rules:\n  - MUST be a mechanically executable command: `npm test`, `grep -q \"pattern\" file`, `test -f path`\n  - For content/document tasks: verify file existence, section count, YAML validity, or word count\n    NOT exact phrasing, specific formulas, or \"zero TBD\" aspirational criteria\n  - If no command can verify the output, write: \"Manual review — file exists and is non-empty\"\n  - BAD: \"Sections 3.1 and 3.2 exist with exact formulas. Zero TBD/TODO.\"\n  - GOOD: `grep -c \"^## \" doc.md` returns >= 4 (4+ sections), `! grep -q \"TBD\\|TODO\" doc.md`\n\n  Integration closure rule:\n  - At least one slice in any multi-boundary milestone should perform real composition/wiring, not just contract hardening\n  - For the final assembly slice, verification must exercise the real entrypoint or runtime path\n-->\n\n## Files Likely Touched\n\n- `{{filePath}}`\n- `{{filePath}}`\n"}],"isError":false,"timestamp":1774853157787}}
{"type":"message","id":"48807caf","parentId":"7c90a79a","timestamp":"2026-03-30T06:45:57.792Z","message":{"role":"toolResult","toolCallId":"toolu_01XiYJLfk3BXMzxPakB9rtTj","toolName":"read","content":[{"type":"text","text":"---\n# Optional scope estimate — helps the plan quality validator detect over-scoped tasks.\n# Tasks with 10+ estimated steps or 12+ estimated files trigger a warning to consider splitting.\nestimated_steps: {{estimatedSteps}}\nestimated_files: {{estimatedFiles}}\n# Installed skills the planner expects the executor to load before coding.\nskills_used:\n  - {{skillName}}\n---\n\n# {{taskId}}: {{taskTitle}}\n\n**Slice:** {{sliceId}} — {{sliceTitle}}\n**Milestone:** {{milestoneId}}\n\n## Description\n\n{{description}}\n\n## Failure Modes\n\n<!-- Q5: What breaks when dependencies fail? OMIT ENTIRELY for tasks with no external dependencies. -->\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| {{dependency}} | {{errorStrategy}} | {{timeoutStrategy}} | {{malformedStrategy}} |\n\n## Load Profile\n\n<!-- Q6: What breaks at 10x load? OMIT ENTIRELY for tasks with no shared resources or scaling concerns. -->\n\n- **Shared resources**: {{sharedResources — DB connections, caches, rate limiters, or none}}\n- **Per-operation cost**: {{perOpCost — N API calls, M DB queries, K bytes, or trivial}}\n- **10x breakpoint**: {{whatBreaksFirst — pool exhaustion, rate limit, memory, or N/A}}\n\n## Negative Tests\n\n<!-- Q7: What negative tests prove robustness? OMIT ENTIRELY for trivial tasks. -->\n\n- **Malformed inputs**: {{malformedInputTests — empty string, null, oversized, wrong type}}\n- **Error paths**: {{errorPathTests — network timeout, auth failure, 5xx, invalid JSON}}\n- **Boundary conditions**: {{boundaryTests — empty list, max length, zero, off-by-one}}\n\n## Steps\n\n1. {{step}}\n2. {{step}}\n3. {{step}}\n\n## Must-Haves\n\n- [ ] {{mustHave}}\n- [ ] {{mustHave}}\n\n## Verification\n\n- {{howToVerifyThisTaskIsActuallyDone}}\n- {{commandToRun_OR_behaviorToCheck}}\n\n## Observability Impact\n\n<!-- OMIT THIS SECTION ENTIRELY for simple tasks that don't touch runtime boundaries,\n     async flows, APIs, background processes, or error paths.\n     Include it only when the task meaningfully changes how failures are detected or diagnosed. -->\n\n- Signals added/changed: {{structured logs, statuses, errors, metrics}}\n- How a future agent inspects this: {{command, endpoint, file, UI state}}\n- Failure state exposed: {{what becomes visible on failure}}\n\n## Inputs\n\n<!-- Every input MUST be a backtick-wrapped file path. These paths are machine-parsed to\n     derive task dependencies — vague descriptions without paths break dependency detection.\n     For the first task in a slice with no prior task outputs, list the existing source files\n     this task reads or modifies. -->\n\n- `{{filePath}}` — {{whatThisTaskNeedsFromPriorWork}}\n\n## Expected Output\n\n<!-- Every output MUST be a backtick-wrapped file path — the specific files this task creates\n     or modifies. These paths are machine-parsed to derive task dependencies.\n     This task should produce a real increment toward making the slice goal/demo true. A full\n     slice plan should not be able to mark every task complete while the claimed slice behavior\n     still does not work at the stated proof level. -->\n\n- `{{filePath}}` — {{whatThisTaskCreatesOrModifies}}\n"}],"isError":false,"timestamp":1774853157790}}
{"type":"message","id":"b56e47e0","parentId":"48807caf","timestamp":"2026-03-30T06:46:02.606Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me explore the current state of the key files to confirm what exists and what needs changing."},{"type":"toolCall","id":"toolu_01H79emADDaBanvyjkDuZbtQ","name":"read","arguments":{"path":"backend/routers/techniques.py"}},{"type":"toolCall","id":"toolu_01GfB2jgzG1gTQjYMgbDtz5x","name":"read","arguments":{"limit":80,"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_01C1q9gdCh3xnqxQWqxp4H8G","name":"read","arguments":{"path":"frontend/src/pages/TechniquePage.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":179,"cacheRead":65738,"cacheWrite":2750,"totalTokens":68668,"cost":{"input":0.000005,"output":0.004475,"cacheRead":0.032868999999999995,"cacheWrite":0.0171875,"total":0.054536499999999995}},"stopReason":"toolUse","timestamp":1774853157791}}
{"type":"message","id":"492db60d","parentId":"b56e47e0","timestamp":"2026-03-30T06:46:02.612Z","message":{"role":"toolResult","toolCallId":"toolu_01H79emADDaBanvyjkDuZbtQ","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":1774853162612}}
{"type":"message","id":"fac15aa4","parentId":"492db60d","timestamp":"2026-03-30T06:46:02.619Z","message":{"role":"toolResult","toolCallId":"toolu_01GfB2jgzG1gTQjYMgbDtz5x","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\n[258 more lines in file. Use offset=81 to continue.]"}],"isError":false,"timestamp":1774853162619}}
{"type":"message","id":"21cb5c15","parentId":"fac15aa4","timestamp":"2026-03-30T06:46:02.624Z","message":{"role":"toolResult","toolCallId":"toolu_01C1q9gdCh3xnqxQWqxp4H8G","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":1774853162623}}
{"type":"message","id":"345e6401","parentId":"21cb5c15","timestamp":"2026-03-30T06:46:06.944Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me check the schema and frontend types for the key moment shape and the CSS file."},{"type":"toolCall","id":"toolu_012Xb3EWM6xLuzaYuN71M4BF","name":"read","arguments":{"offset":81,"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_01CieHCnkBsTBbe82eELRe5z","name":"read","arguments":{"path":"frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":135,"cacheRead":68488,"cacheWrite":4343,"totalTokens":72967,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.034244,"cacheWrite":0.02714375,"total":0.06476775}},"stopReason":"toolUse","timestamp":1774853162623}}
{"type":"message","id":"6bfbf7e6","parentId":"345e6401","timestamp":"2026-03-30T06:46:06.948Z","message":{"role":"toolResult","toolCallId":"toolu_012Xb3EWM6xLuzaYuN71M4BF","toolName":"read","content":[{"type":"text","text":"    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":1774853166947}}
{"type":"message","id":"ac0fa14e","parentId":"6bfbf7e6","timestamp":"2026-03-30T06:46:06.953Z","message":{"role":"toolResult","toolCallId":"toolu_01CieHCnkBsTBbe82eELRe5z","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":1774853166951}}
{"type":"message","id":"0583b8a4","parentId":"ac0fa14e","timestamp":"2026-03-30T06:46:11.782Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the models for the KeyMoment → SourceVideo relationship to confirm the join path."},{"type":"toolCall","id":"toolu_01An3GbbeLQy4yk8bejTCYxn","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"source_video\" backend/models.py | head -20"}},{"type":"toolCall","id":"toolu_01CNMdqB54iJqxZw7wK9oHkD","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"class KeyMoment\\|class SourceVideo\\|source_video\\|sa_relationship\" backend/models.py | head -30"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":195,"cacheRead":72831,"cacheWrite":4174,"totalTokens":77201,"cost":{"input":0.000005,"output":0.004875,"cacheRead":0.036415499999999996,"cacheWrite":0.0260875,"total":0.067383}},"stopReason":"toolUse","timestamp":1774853166952}}
{"type":"message","id":"39520617","parentId":"0583b8a4","timestamp":"2026-03-30T06:46:11.801Z","message":{"role":"toolResult","toolCallId":"toolu_01An3GbbeLQy4yk8bejTCYxn","toolName":"bash","content":[{"type":"text","text":"131:    __tablename__ = \"source_videos\"\n159:    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n160:    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n167:    source_video_id: Mapped[uuid.UUID] = mapped_column(\n168:        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n177:    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n184:    source_video_id: Mapped[uuid.UUID] = mapped_column(\n185:        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n213:    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n"}],"isError":false,"timestamp":1774853171801}}
{"type":"message","id":"d6477524","parentId":"39520617","timestamp":"2026-03-30T06:46:11.811Z","message":{"role":"toolResult","toolCallId":"toolu_01CNMdqB54iJqxZw7wK9oHkD","toolName":"bash","content":[{"type":"text","text":"26:from sqlalchemy.orm import relationship as sa_relationship\n50:class KeyMomentContentType(str, enum.Enum):\n126:    videos: Mapped[list[SourceVideo]] = sa_relationship(back_populates=\"creator\")\n127:    technique_pages: Mapped[list[TechniquePage]] = sa_relationship(back_populates=\"creator\")\n130:class SourceVideo(Base):\n131:    __tablename__ = \"source_videos\"\n158:    creator: Mapped[Creator] = sa_relationship(back_populates=\"videos\")\n159:    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n160:    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n167:    source_video_id: Mapped[uuid.UUID] = mapped_column(\n168:        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n177:    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n180:class KeyMoment(Base):\n184:    source_video_id: Mapped[uuid.UUID] = mapped_column(\n185:        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n213:    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n214:    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n252:    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n253:    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n256:    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n259:    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n283:    source_page: Mapped[TechniquePage] = sa_relationship(\n286:    target_page: Mapped[TechniquePage] = sa_relationship(\n"}],"isError":false,"timestamp":1774853171810}}
{"type":"message","id":"daf65d41","parentId":"d6477524","timestamp":"2026-03-30T06:46:16.712Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — confirmed. `KeyMoment.source_video` relationship exists (line 213). Now let me quickly check the CSS for existing technique classes:"},{"type":"toolCall","id":"toolu_01TQxG1eTdmgBSTkdnnKahPW","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"technique-chain\\|technique-moment\\|technique-header__stats\\|technique-chain__flow\\|technique-moment__source\" frontend/src/App.css | head -20"}},{"type":"toolCall","id":"toolu_01GiJFro4QFfHUnQzTHH6dxE","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"technique-chain\\|technique-moment\" frontend/src/App.css | head -30"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":222,"cacheRead":77005,"cacheWrite":1001,"totalTokens":78229,"cost":{"input":0.000005,"output":0.00555,"cacheRead":0.038502499999999995,"cacheWrite":0.0062562500000000005,"total":0.05031374999999999}},"stopReason":"toolUse","timestamp":1774853171811}}
{"type":"message","id":"faf5ea7d","parentId":"daf65d41","timestamp":"2026-03-30T06:46:16.729Z","message":{"role":"toolResult","toolCallId":"toolu_01TQxG1eTdmgBSTkdnnKahPW","toolName":"bash","content":[{"type":"text","text":"1289:.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":1774853176728}}
{"type":"message","id":"5f1d30ef","parentId":"faf5ea7d","timestamp":"2026-03-30T06:46:16.736Z","message":{"role":"toolResult","toolCallId":"toolu_01GiJFro4QFfHUnQzTHH6dxE","toolName":"bash","content":[{"type":"text","text":"1289:.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":1774853176735}}
{"type":"message","id":"50d95049","parentId":"5f1d30ef","timestamp":"2026-03-30T06:46:19.973Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01M9qtwZKxPHBxHepqi66WD7","name":"read","arguments":{"limit":100,"offset":1289,"path":"frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":92,"cacheRead":78006,"cacheWrite":533,"totalTokens":78632,"cost":{"input":0.000005,"output":0.0023,"cacheRead":0.039002999999999996,"cacheWrite":0.00333125,"total":0.04463925}},"stopReason":"toolUse","timestamp":1774853176736}}
{"type":"message","id":"9fb450ed","parentId":"50d95049","timestamp":"2026-03-30T06:46:19.977Z","message":{"role":"toolResult","toolCallId":"toolu_01M9qtwZKxPHBxHepqi66WD7","toolName":"read","content":[{"type":"text","text":".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\n[514 more lines in file. Use offset=1389 to continue.]"}],"isError":false,"timestamp":1774853179975}}
{"type":"message","id":"831f629b","parentId":"9fb450ed","timestamp":"2026-03-30T06:46:24.011Z","message":{"role":"assistant","content":[{"type":"text","text":"I've confirmed enough. Let me also check the `:root` for CSS custom properties to confirm the constraint about using `var(--*)` tokens:"},{"type":"toolCall","id":"toolu_01CQfmqFdw6dQzS9jWtA5cTe","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -c \"^  --\" frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":116,"cacheRead":78006,"cacheWrite":1377,"totalTokens":79500,"cost":{"input":0.000005,"output":0.0029000000000000002,"cacheRead":0.039002999999999996,"cacheWrite":0.008606250000000001,"total":0.05051425}},"stopReason":"toolUse","timestamp":1774853179976}}
{"type":"message","id":"7a3cdc12","parentId":"831f629b","timestamp":"2026-03-30T06:46:24.029Z","message":{"role":"toolResult","toolCallId":"toolu_01CQfmqFdw6dQzS9jWtA5cTe","toolName":"bash","content":[{"type":"text","text":"84\n"}],"isError":false,"timestamp":1774853184027}}
{"type":"message","id":"5a965daa","parentId":"7a3cdc12","timestamp":"2026-03-30T06:47:22.365Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — 84 custom properties exist in `:root`. The research document's analysis is accurate. Now I have a clear picture:\n\n**Backend changes:**\n1. Add chained `selectinload(KeyMoment.source_video)` to the technique detail query\n2. Add `video_filename: str = \"\"` to `KeyMomentSummary` schema\n3. Populate `video_filename` from `km.source_video.filename` in the endpoint\n\n**Frontend changes:**\n1. Add `video_filename: string` to `KeyMomentSummary` TypeScript interface\n2. Add meta line below title (\"Compiled from N sources · M key moments · Last updated [date]\")\n3. Add video filename to each key moment row\n4. Redesign signal chains from `<ol>` to monospace flow blocks with arrow separators\n5. CSS additions using existing `var(--*)` tokens\n\nThe research recommends a single backend+frontend task since the backend change is small and the frontend depends directly on it. I agree — this is a natural unit. However, the scope is moderate: ~6 files, backend schema + query + endpoint changes, TypeScript type update, JSX redesign of three sections, and CSS additions. That's within the \"one context window\" budget but on the heavier side.\n\nI'll split it into two tasks:\n- **T01**: Backend — add `video_filename` to the API response (schema + query + endpoint). Independently verifiable via curl.\n- **T02**: Frontend — redesign TechniquePage (meta line, video filenames on moments, monospace signal chains, CSS). Deploy and verify.\n\nThis split is driven by verification clarity: T01 can be verified with a curl command against the running API before any frontend work begins. T02 depends on T01's API shape change."},{"type":"toolCall","id":"toolu_019L9MZt6y9mGsjn2p4f2N6Y","name":"gsd_plan_slice","arguments":{"goal":"Technique page matches the reference layout: meta stats line below title, key moments show source video filename, signal chains render as monospace flow blocks with arrow separators instead of numbered lists.","integrationClosure":"Upstream: `backend/models.py` KeyMoment.source_video relationship, S02 dark theme CSS token system (84 custom properties in `:root`). New wiring: chained selectinload for source_video in technique detail query; video_filename field flows from backend schema through TypeScript types to JSX rendering. After this slice, S04 (article versioning) can layer on top of the redesigned technique page layout.","milestoneId":"M004","observabilityImpact":"None — this slice adds display-only fields and CSS changes with no new runtime state, async flows, or error paths beyond the existing technique detail endpoint.","proofLevel":"Integration — verified against real pipeline data on ub01 via API curl and browser inspection","sliceId":"S03","successCriteria":"- API `GET /api/v1/techniques/{slug}` returns `video_filename` in each key moment object\n- Technique page renders meta line: \"Compiled from N sources · M key moments · Last updated [date]\"\n- Each key moment row displays the source video filename\n- Signal chains render as monospace horizontal flow blocks (`Step → Step → Step`), not `<ol>` lists\n- All new CSS uses `var(--*)` tokens — zero new hardcoded hex colors outside `:root`\n- `npm run build` produces zero TypeScript errors\n- Deploy to ub01 succeeds and page loads with real pipeline data","tasks":[{"description":"Extend the backend technique detail endpoint to include the source video filename on each key moment. This is the data prerequisite for all frontend changes in T02.\n\n## Steps\n\n1. In `backend/schemas.py`, add `video_filename: str = \"\"` to the `KeyMomentSummary` class.\n2. In `backend/routers/techniques.py`, chain a selectinload for the source video onto the existing key_moments load: change `selectinload(TechniquePage.key_moments)` to `selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video)`. Import `SourceVideo` from models if not already imported.\n3. In the response construction section of `get_technique()`, after building the sorted key_moments list, populate video_filename when constructing KeyMomentSummary objects. Change the model_validate call to manually construct the dict or use a post-processing step:\n   ```python\n   key_moment_items = []\n   for km in key_moments:\n       item = KeyMomentSummary.model_validate(km)\n       item.video_filename = km.source_video.filename if km.source_video else \"\"\n       key_moment_items.append(item)\n   ```\n4. Verify locally or on ub01 that `curl http://ub01:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -m json.tool` now includes `video_filename` in each key_moments entry.\n\n## Must-Haves\n\n- [ ] `KeyMomentSummary` schema has `video_filename: str = \"\"` field\n- [ ] Technique detail query uses chained selectinload for source_video\n- [ ] Each key moment in API response includes populated `video_filename`\n- [ ] Existing fields and behavior unchanged","estimate":"20m","expectedOutput":["backend/schemas.py","backend/routers/techniques.py"],"files":["backend/schemas.py","backend/routers/techniques.py"],"inputs":["backend/schemas.py","backend/routers/techniques.py","backend/models.py"],"taskId":"T01","title":"Add video_filename to technique detail API response","verify":"ssh ub01 'cd /vmPool/r/repos/xpltdco/chrysopedia && docker compose build chrysopedia-api && docker compose up -d chrysopedia-api && sleep 3 && curl -s http://localhost:8096/api/v1/techniques/ | python3 -m json.tool | head -5' && ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -c \"import sys,json; d=json.load(sys.stdin); kms=d.get(\\\"key_moments\\\",[]); assert len(kms)>0; assert all(\\\"video_filename\\\" in km for km in kms); assert any(km[\\\"video_filename\\\"]!=\\\"\\\" for km in kms); print(f\\\"OK: {len(kms)} moments, all have video_filename\\\")\"'"},{"description":"Redesign the frontend technique page to match the spec layout. Three visual changes: meta stats line, video filename on key moments, and monospace signal chain flow blocks. All CSS must use existing `var(--*)` tokens.\n\n## Steps\n\n1. In `frontend/src/api/public-client.ts`, add `video_filename: string` to the `KeyMomentSummary` interface (with empty string default behavior — JSON will supply it).\n\n2. In `frontend/src/pages/TechniquePage.tsx`, add a meta stats line between the header and summary sections:\n   - Compute unique source count: `new Set(technique.key_moments.map(km => km.video_filename).filter(Boolean)).size`\n   - Moment count: `technique.key_moments.length`\n   - Last updated: format `technique.updated_at` as a readable date\n   - Render: `<div className=\"technique-header__stats\">Compiled from {N} source{s} · {M} key moment{s} · Last updated {date}</div>`\n\n3. In the key moments section, add the video filename between the title and timestamp:\n   ```tsx\n   {km.video_filename && (\n     <span className=\"technique-moment__source\">{km.video_filename}</span>\n   )}\n   ```\n\n4. Redesign the signal chains section. Replace the `<ol className=\"technique-chain__steps\">` with a monospace flow block:\n   ```tsx\n   <div className=\"technique-chain__flow\">\n     {steps.map((step, j) => (\n       <span key={j}>\n         {j > 0 && <span className=\"technique-chain__arrow\"> → </span>}\n         <span className=\"technique-chain__step\">{String(step)}</span>\n       </span>\n     ))}\n   </div>\n   ```\n\n5. In `frontend/src/App.css`, add CSS classes using only `var(--*)` tokens:\n   - `.technique-header__stats` — secondary text color, smaller font, margin below header\n   - `.technique-moment__source` — truncated text, muted color, monospace-ish, smaller font\n   - `.technique-chain__flow` — monospace font, horizontal wrap, background surface, padding, border-radius\n   - `.technique-chain__arrow` — accent color (cyan)\n   - `.technique-chain__step` — inline display\n   - Remove or restyle `.technique-chain__steps` (the old `<ol>` style)\n\n6. Run `cd frontend && npm run build` to verify zero TypeScript errors.\n\n7. Deploy to ub01: push changes, SSH in, `docker compose build chrysopedia-web-8096 && docker compose up -d chrysopedia-web-8096`.\n\n## Constraints\n- All CSS colors MUST use `var(--*)` tokens. The S02 dark theme established 84 semantic custom properties. Grep verification: `grep -P '#[0-9a-fA-F]{3,8}' frontend/src/App.css | grep -v ':root' | grep -v '^\\/\\*'` should return zero new hex colors.\n- Do NOT modify `:root` custom property definitions unless adding a genuinely new semantic token.\n\n## Must-Haves\n\n- [ ] TypeScript `KeyMomentSummary` includes `video_filename: string`\n- [ ] Meta stats line renders below technique title\n- [ ] Key moment rows show video filename\n- [ ] Signal chains render as monospace flow with arrow separators\n- [ ] All new CSS uses `var(--*)` tokens only\n- [ ] `npm run build` succeeds with zero errors","estimate":"45m","expectedOutput":["frontend/src/api/public-client.ts","frontend/src/pages/TechniquePage.tsx","frontend/src/App.css"],"files":["frontend/src/api/public-client.ts","frontend/src/pages/TechniquePage.tsx","frontend/src/App.css"],"inputs":["frontend/src/api/public-client.ts","frontend/src/pages/TechniquePage.tsx","frontend/src/App.css","backend/schemas.py"],"taskId":"T02","title":"Redesign TechniquePage — meta line, video filenames, monospace signal chains","verify":"cd frontend && npm run build 2>&1 | tail -5 && echo 'BUILD OK' && grep -cP '#[0-9a-fA-F]{3,8}' src/App.css | grep -v ':root' || echo 'No hardcoded colors outside :root'"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":2928,"cacheRead":79383,"cacheWrite":130,"totalTokens":82442,"cost":{"input":0.000005,"output":0.0732,"cacheRead":0.0396915,"cacheWrite":0.0008125000000000001,"total":0.113709}},"stopReason":"toolUse","timestamp":1774853184028}}
{"type":"message","id":"6d321f27","parentId":"5a965daa","timestamp":"2026-03-30T06:47:22.383Z","message":{"role":"toolResult","toolCallId":"toolu_019L9MZt6y9mGsjn2p4f2N6Y","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S03 (M004)"}],"details":{"operation":"plan_slice","milestoneId":"M004","sliceId":"S03","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/S03-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T02-PLAN.md"]},"isError":false,"timestamp":1774853242382}}
{"type":"message","id":"b9662b7d","parentId":"6d321f27","timestamp":"2026-03-30T06:47:34.198Z","message":{"role":"assistant","content":[{"type":"text","text":"The plan is persisted. Let me do a quick self-audit against the checklist:\n\n**Completion semantics:** If T01 ships `video_filename` in the API and T02 renders the meta line, video filenames, and monospace signal chains — the slice goal (\"Technique page matches reference layout...\") is met. ✓\n\n**Requirement coverage:** R004 (review detail) and R007 (creators browse) are listed as \"advanced\" not \"owned\" — they were validated in prior milestones and this slice touches them only indirectly (technique page improvements use the same data pipeline). The slice's must-haves map 1:1 to the two tasks. ✓\n\n**Task completeness:** Both tasks have steps, must-haves, verification commands, concrete file path inputs and outputs. ✓\n\n**Dependency correctness:** T02 depends on T01's schema change (`backend/schemas.py` appears in T02's inputs). T01 is backend-only, T02 is frontend-only. Order is correct. ✓\n\n**Scope sanity:** T01: 4 steps, 2 files. T02: 7 steps, 3 files. Both well within bounds. ✓\n\n**Feature completeness:** Every task produces user-visible progress — T01 makes the API return richer data, T02 makes it visible in the UI. ✓\n\nNo structural decisions were made that aren't already captured (the chained selectinload pattern is noted in research, the `var(--*)` constraint is from D017).\n\nSlice S03 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":366,"cacheRead":79513,"cacheWrite":2946,"totalTokens":82826,"cost":{"input":0.000005,"output":0.00915,"cacheRead":0.0397565,"cacheWrite":0.018412500000000002,"total":0.067324}},"stopReason":"stop","timestamp":1774853242382}}
