{"type":"thinking_level_change","id":"7b4f31a9","parentId":null,"timestamp":"2026-04-03T01:12:53.423Z","thinkingLevel":"medium"}
{"type":"model_change","id":"e5bc5ba2","parentId":"7b4f31a9","timestamp":"2026-04-03T01:12:53.424Z","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/M014/slices/S03/S03-PLAN.md` and `.gsd/milestones/M014/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## UNIT: Plan Slice S03 (\"Data Model + Migration\") — Milestone M014\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M014/M014-ROADMAP.md`\n\n# M014: \n\n## Vision\nRestructure technique pages to be broader (per-creator+category across videos), deeper (H2/H3 nesting with TOC), multi-source (compose new video content into existing pages), with inline citations linking prose claims to source moments, admin multi-source management, and section-level search with deep linking.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Synthesis Prompt v5 — Nested Sections + Citations | high | — | ✅ | Run test harness with new prompt → output has list-of-objects body_sections with H2/H3 nesting, citation markers on key claims, broader page scope. |\n| S02 | Composition Prompt + Test Harness Compose Mode | high | S01 | ✅ | Run test harness --compose mode with existing page + new moments → merged output with deduplication, new sections, updated citations. |\n| S03 | Data Model + Migration | low | — | ⬜ | Alembic migration runs clean. API response includes body_sections_format and source_videos fields. |\n| S04 | Pipeline Compose-or-Create Logic | high | S01, S02, S03 | ⬜ | Process two COPYCATT videos. Second video's moments composed into existing page. technique_page_videos has both video IDs. |\n| S05 | Frontend — Nested Rendering, TOC, Citations | medium | S03 | ⬜ | Format-2 page renders with TOC, nested sections, clickable citations. Format-1 pages unchanged. |\n| S06 | Admin UI — Multi-Source Pipeline Management | medium | S03, S04 | ⬜ | Admin view for multi-source page shows source dropdown, composition history, per-video chunking inspection. |\n| S07 | Search — Per-Section Embeddings + Deep Linking | medium | S04, S05 | ⬜ | Search 'LFO grain position' → section-level result → click → navigates to page#section and scrolls. |\n\n---\n\n### Slice Research\nSource: `.gsd/milestones/M014/slices/S03/S03-RESEARCH.md`\n\n# S03 Research: Data Model + Migration\n\n## Summary\n\nStraightforward data model expansion. Three changes needed: (1) add `body_sections_format` column to `technique_pages`, (2) create `technique_page_videos` association table, (3) update API response schemas to expose both fields. No new technology, no ambiguous requirements — established Alembic + SQLAlchemy patterns already in codebase.\n\n## Recommendation\n\nLight-touch migration + model/schema update. Single Alembic migration file. Model changes in `models.py`, API schema changes in `schemas.py`, router query updates in `techniques.py` to populate `source_videos`.\n\n---\n\n## Implementation Landscape\n\n### Current State\n\n**TechniquePage model** (`backend/models.py`, line ~195):\n- `body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)` — stores either old flat dict or new v2 list-of-objects\n- No `body_sections_format` column — the pipeline Pydantic schema (`pipeline/schemas.py`) has `body_sections_format='v2'` but it's never persisted to DB\n- No association table linking technique pages to source videos\n\n**Video-to-page relationship today**: Indirect via `key_moments` table — `KeyMoment.source_video_id` + `KeyMoment.technique_page_id`. You can derive contributing videos with a JOIN, but there's no direct record. S04 needs explicit tracking for composition history.\n\n**API schemas** (`backend/schemas.py`):\n- `TechniquePageBase.body_sections: dict | None` — must become `list | dict | None` to accept v2 format\n- No `body_sections_format` field on any read schema\n- No `source_videos` field on detail response\n\n**Alembic chain**: `001_initial` → ... → `011_cls_cache_rerun`. Next revision = `012`.\n\n**Migration runner** (`alembic/env.py`): Async PostgreSQL via `asyncpg`, `sys.path` bootstrapped for both local and Docker. DB URL from `DATABASE_URL` env var or `alembic.ini` fallback (`postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia`).\n\n### What Needs to Change\n\n#### 1. New Alembic migration (`alembic/versions/012_multi_source_format.py`)\n\n```\ntechnique_pages:\n  + body_sections_format  VARCHAR(20)  DEFAULT 'v1'  NOT NULL\n\ntechnique_page_videos (new table):\n  id              UUID PK\n  technique_page_id  UUID FK → technique_pages.id ON DELETE CASCADE\n  source_video_id    UUID FK → source_videos.id ON DELETE CASCADE\n  added_at           TIMESTAMP DEFAULT now()\n  UNIQUE(technique_page_id, source_video_id)\n```\n\nDefault `body_sections_format` to `'v1'` for existing rows. New pages from the v2 pipeline will set `'v2'`. This lets the frontend discriminate rendering: format-1 pages use old dict iteration, format-2 pages use nested section rendering (S05).\n\nThe `technique_page_videos` table is a simple many-to-many join. `added_at` tracks when a video was composed into the page (useful for S06 admin UI composition history).\n\n#### 2. Model updates (`backend/models.py`)\n\nAdd to `TechniquePage`:\n```python\nbody_sections_format: Mapped[str] = mapped_column(\n    String(20), default=\"v1\", server_default=\"v1\", nullable=False\n)\n```\n\nNew association model:\n```python\nclass TechniquePageVideo(Base):\n    __tablename__ = \"technique_page_videos\"\n    __table_args__ = (\n        UniqueConstraint(\"technique_page_id\", \"source_video_id\", name=\"uq_page_video\"),\n    )\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    technique_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    added_at: Mapped[datetime] = mapped_column(default=_now, server_default=func.now())\n```\n\nAdd relationships on `TechniquePage`:\n```python\nsource_video_links: Mapped[list[TechniquePageVideo]] = sa_relationship(back_populates=\"technique_page\")\n```\n\nAnd on `SourceVideo` (optional, for reverse navigation):\n```python\ntechnique_page_links: Mapped[list[TechniquePageVideo]] = sa_relationship(back_populates=\"source_video\")\n```\n\n#### 3. API schema updates (`backend/schemas.py`)\n\n`TechniquePageBase`:\n- Change `body_sections: dict | None = None` → `body_sections: list | dict | None = None`\n- Add `body_sections_format: str = \"v1\"`\n\n`TechniquePageRead` (inherits from Base, so gets both automatically).\n\n`TechniquePageDetail`:\n- Add `source_videos: list[SourceVideoSummary] = Field(default_factory=list)`\n- New lightweight schema:\n```python\nclass SourceVideoSummary(BaseModel):\n    model_config = ConfigDict(from_attributes=True)\n    id: uuid.UUID\n    filename: str\n    content_type: str\n    added_at: datetime | None = None\n```\n\n#### 4. Router query update (`backend/routers/techniques.py`)\n\nIn `get_technique()` (the detail endpoint): eagerly load `source_video_links` → `source_video`, build `source_videos` list on the response. The list endpoint doesn't need source_videos (too heavy for a list view).\n\n#### 5. Pipeline write path (`backend/pipeline/stages.py`)\n\nWhen creating/updating a TechniquePage in `stage5_synthesis`:\n- Set `body_sections_format = \"v2\"` on the page\n- After creating/updating the page, upsert a `TechniquePageVideo` row for the current video\n\nThis is S04 scope (pipeline compose-or-create logic), but the model/migration must support it. S03 just needs to ensure the columns and tables exist.\n\n### Constraints and Gotchas\n\n1. **Default value for existing rows**: `body_sections_format` must default to `'v1'` so existing pages don't break. The migration's `server_default='v1'` handles this.\n\n2. **JSONB type flexibility**: The `body_sections` DB column is JSONB, which already accepts any JSON type (list, dict, null). No DDL change needed — only the Pydantic schema type annotation needs widening.\n\n3. **Backfill `technique_page_videos`**: Existing pages don't have entries in the new table. We could backfill from `key_moments` JOINs, but the roadmap demo only requires the table to exist and API to expose it — actual population happens in S04. Empty `source_videos: []` for existing pages is fine.\n\n4. **Migration must run on production DB (ub01:5433)**: Use `docker exec chrysopedia-api alembic upgrade head` per the project's existing deployment pattern.\n\n### Task Decomposition Seams\n\nThree natural tasks:\n1. **Migration file** — `alembic/versions/012_multi_source_format.py` (standalone, can be verified with `alembic upgrade head`)\n2. **Model + Schema** — `models.py` (new column + model), `schemas.py` (response fields) — verifiable with import check\n3. **Router wiring** — `techniques.py` detail endpoint loads source_videos — verifiable with API call to `/techniques/{slug}`\n\nTasks 2 and 3 could be one task since they're small, but splitting keeps verification clean.\n\n### Verification Strategy\n\n- `alembic upgrade head` runs clean (no errors, table and column exist)\n- `python -c \"from models import TechniquePageVideo, TechniquePage\"` — imports succeed\n- `curl localhost:8000/techniques/{slug}` response includes `body_sections_format` and `source_videos` fields\n- For local testing without Docker: SQLAlchemy model import + Pydantic schema serialization test\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions (compact)\nFields: id | when | scope | decision | choice | rationale | revisable | made_by\n\nD024 | M014/S01 | architecture | Content model for sections with subsections | Sections with subsections use empty-string content field; substance lives in subsections | Avoids duplication between section-level content and subsection content. The section heading serves as H2 container; all prose lives in subsection content fields. Sections without subsections use the section content field directly. | Yes | agent\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (7 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic loads a dedicated page with creator-grouped techniques and breadcrumbs.\n**Validation:** Hierarchy renders, filtering works, sub-topics have dedicated pages at /topics/:category/:subtopic with backend filtering and creator grouping. Verified: M010/S01.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n## R016 — Card Hover Animations & Staggered Entrance\n**Status:** validated\n**Description:** All technique/content cards animate on hover (scale + shadow transition). Card grids use staggered fade-in-up entrance animations on page load.\n**Validation:** Cards visually respond to hover with smooth 200ms transition. Grid cards appear sequentially on page load.\n**Primary Owner:** M011/S01\n\n## R017 — Featured Technique Visual Redesign\n**Status:** validated\n**Description:** Featured Technique section on homepage has a visually distinct treatment (gradient border, glow, or full-bleed) that differentiates it from ordinary cards.\n**Validation:** Featured technique is visually prominent and clearly distinct from regular technique cards.\n**Primary Owner:** M011/S01\n\n## R018 — Random Technique Discovery\n**Status:** validated\n**Description:** A \"Random Technique\" button exists that navigates to a randomly selected technique page.\n**Validation:** Clicking the button loads a different technique each time.\n**Primary Owner:** M011/S01\n\n## R019 — Topics Page Default-Collapsed\n**Status:** validated\n**Description:** Topics page loads with all categories collapsed, showing only category cards. Clicking a category expands its sub-topics with a smooth slide animation.\n**Validation:** Page loads collapsed. Click expands with animation. Click again collapses.\n**Primary Owner:** M011/S02\n\n## R020 — Global Search in Navigation\n**Status:** validated\n**Description:** A compact search input in the navigation bar is available on all pages except the homepage. Cmd+K (or /) keyboard shortcut focuses it from any page.\n**Validation:** Search bar visible in nav on Topics, Creators, Technique, About pages. Cmd+K focuses it.\n**Primary Owner:** M011/S03\n\n## R021 — Mobile Hamburger Menu\n**Status:** validated\n**Description:** Navigation uses a hamburger menu on viewports below 768px with generous touch targets (44×44px minimum).\n**Validation:** Mobile viewport shows hamburger icon. Tapping reveals nav items. Touch targets meet minimum size.\n**Primary Owner:** M011/S03\n\n## R022 — Heading Hierarchy Fix\n**Status:** validated\n**Description:** Every page has exactly one H1 element. Heading levels are sequential (no skips from H1 to H3).\n**Validation:** DOM inspection confirms single H1 per page and sequential heading levels.\n**Primary Owner:** M011/S04\n\n## R023 — Skip-to-Content Link\n**Status:** validated\n**Description:** A visually hidden skip link is the first focusable element on every page, visible on keyboard focus.\n**Validation:** Tab from page load shows \"Skip to content\" link. Clicking it jumps to main content area.\n**Primary Owner:** M011/S04\n\n## R024 — Text Contrast AA Compliance\n**Status:** validated\n**Description:** All text meets WCAG AA contrast ratios (4.5:1 for normal text, 3:1 for large text) against the dark background.\n**Validation:** Secondary text color passes 4.5:1 contrast check against page background.\n**Primary Owner:** M011/S04\n\n## R025 — Page-Specific Document Titles\n**Status:** validated\n**Description:** Each route sets a descriptive document title (e.g., \"Bass — Sound Design — Chrysopedia\", \"COPYCATT — Chrysopedia\").\n**Validation:** Browser tab shows distinct title per page. Navigating between pages updates the title.\n**Primary Owner:** M011/S04\n\n## R026 — Creator Stats Topic-Colored Pills\n**Status:** validated\n**Description:** Creator detail page stats line rendered as topic-colored pill badges instead of run-on text.\n**Validation:** Stats show as visually distinct colored pills grouped by topic category.\n**Primary Owner:** M011/S02\n\n## R027 — Tag Overflow Limit on Cards\n**Status:** validated\n**Description:** Technique cards show a maximum of 4 tags, with a \"+N more\" indicator for additional tags.\n**Validation:** Cards with >4 tags show exactly 4 plus a \"+N more\" badge.\n**Primary Owner:** M011/S02\n\n## R028 — Empty Subtopic Handling\n**Status:** validated\n**Description:** Sub-topics with 0 techniques either hidden by default or display a \"Coming soon\" badge.\n**Validation:** Empty subtopics are visually distinguished or hidden. No dead-end clicks.\n**Primary Owner:** M011/S02\n\n## Denied / Out of Scope\n\n## R029 — Beginner Learning Paths\n**Status:** out-of-scope\n**Description:** Curated beginner learning paths with skill-level tags and \"New to Production?\" section.\n**Validation:** n/a\n**Notes:** Denied — audience knows what they're looking for. Assessment F01.\n\n## R030 — YouTube Deep Links on Key Moments\n**Status:** out-of-scope\n**Description:** Key moment timestamps link to source YouTube videos at the correct time.\n**Validation:** n/a\n**Notes:** Denied — no video URLs in data model / don't want to link out. Assessment F02.\n\n## R031 — Hide Admin Dropdown\n**Status:** out-of-scope\n**Description:** Admin dropdown hidden from public visitors behind auth or flag.\n**Validation:** n/a\n**Notes:** Denied — fine as-is. Assessment F03.\n\n## R032 — CTA Label Changes\n**Status:** out-of-scope\n**Description:** Change \"Start Exploring\" to more descriptive CTA text.\n**Validation:** n/a\n**Notes:** Denied — skipped. Assessment F15.\n\n---\n\n[...truncated 3 sections]\n\n### Dependency Slice Summaries\n\nPay particular attention to **Forward Intelligence** sections — they contain hard-won knowledge about what's fragile, what assumptions changed, and what this slice should watch out for.\n\n- (no dependencies)\n\n## Your Role in the Pipeline\n\nYou have full tool access. Before decomposing, explore the relevant code to ground your plan in reality.\n\n### Verify Roadmap Assumptions\n\nCheck prior slice summaries (inlined above as dependency summaries, if present). If prior slices discovered constraints, changed approaches, or flagged fragility, adjust your plan accordingly. The roadmap description may be stale — verify it against the current codebase state.\n\n### Explore Slice Scope\n\nRead the code files relevant to this slice. Confirm the roadmap's description of what exists, what needs to change, and what boundaries apply. Use `rg`, `find`, and targeted reads.\n\n### Source Files\n\n- **Project**: `.gsd/PROJECT.md`\n- **Requirements**: `.gsd/REQUIREMENTS.md`\n- **Decisions**: `.gsd/DECISIONS.md`\n- **Roadmap**: `.gsd/milestones/M014/M014-ROADMAP.md`\n- **Slice Research**: `.gsd/milestones/M014/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":"c68109af","parentId":"e5bc5ba2","timestamp":"2026-04-03T01:12:53.426Z"}
{"type":"message","id":"070dc179","parentId":"c68109af","timestamp":"2026-04-03T01:13:00.315Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me explore the current codebase to ground the plan in reality before decomposing.","thinkingSignature":"EpACClkIDBgCKkAauW5fwvB1b6DDVquuzgcqzHS6W4I7Yu37oNKzCtniwqo2O1F8vnn+Tiq2PHWDrv+uuVfKdMVrJDE0O8v33nB9Mg9jbGF1ZGUtb3B1cy00LTY4ABIMZufLUZrn1qPX+FWLGgy8dVKPkKK5w6chP98iMOX1YZYlK8eOEjrDBZZ+g4tVbu5Hmjqespjd5scws9PhtUdUvnLHdYPrcdsqzx+PfyplzotaaNEnm1AEYqNXBTNhjueRi6GlfX/VwNZi56X7jAdY5Wfksm46j7xupmAeKS3ouOOsZ0wfUyw2Sj7msABvrOI5P+yS5MR869gyiKsC5YnTdZr9i7mmrU9Er+l63N/JTqkTBtAYAQ=="},{"type":"text","text":"Let me verify the current state of the relevant files before planning."},{"type":"toolCall","id":"toolu_01T6x1g3oNFY777654ZQGRAa","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls alembic/versions/ | sort"}},{"type":"toolCall","id":"toolu_017PsSvfbaNdYL8ZYTWwPXQr","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n 'body_sections\\|class TechniquePage\\|class TechniquePageVideo' backend/models.py | head -30"}},{"type":"toolCall","id":"toolu_01JiaUgJqJgiCEmyRDZQep8r","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n 'body_sections\\|class TechniquePage\\|source_videos\\|SourceVideoSummary' backend/schemas.py | head -30"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":300,"cacheRead":59865,"cacheWrite":8145,"totalTokens":68312,"cost":{"input":0.00001,"output":0.007500000000000001,"cacheRead":0.029932499999999997,"cacheWrite":0.05090625,"total":0.08834875}},"stopReason":"toolUse","timestamp":1775178773424}}
{"type":"message","id":"9125c32d","parentId":"070dc179","timestamp":"2026-04-03T01:13:00.333Z","message":{"role":"toolResult","toolCallId":"toolu_01T6x1g3oNFY777654ZQGRAa","toolName":"bash","content":[{"type":"text","text":"001_initial.py\n002_technique_page_versions.py\n003_content_reports.py\n004_pipeline_events.py\n005_content_hash.py\n006_debug_columns.py\n007_drop_review_columns.py\n008_rename_processing_status.py\n009_add_creator_hidden_flag.py\n010_add_pipeline_runs.py\n011_classification_cache_and_stage_rerun.py\n"}],"isError":false,"timestamp":1775178780333}}
{"type":"message","id":"6021988d","parentId":"9125c32d","timestamp":"2026-04-03T01:13:00.333Z","message":{"role":"toolResult","toolCallId":"toolu_017PsSvfbaNdYL8ZYTWwPXQr","toolName":"bash","content":[{"type":"text","text":"206:class TechniquePage(Base):\n218:    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n276:class TechniquePageVersion(Base):\n"}],"isError":false,"timestamp":1775178780333}}
{"type":"message","id":"fc21dede","parentId":"6021988d","timestamp":"2026-04-03T01:13:00.336Z","message":{"role":"toolResult","toolCallId":"toolu_01JiaUgJqJgiCEmyRDZQep8r","toolName":"bash","content":[{"type":"text","text":"119:class TechniquePageBase(BaseModel):\n125:    body_sections: dict | None = None\n129:class TechniquePageCreate(TechniquePageBase):\n133:class TechniquePageRead(TechniquePageBase):\n278:class TechniquePageDetail(TechniquePageRead):\n288:class TechniquePageVersionSummary(BaseModel):\n297:class TechniquePageVersionDetail(BaseModel):\n307:class TechniquePageVersionListResponse(BaseModel):\n"}],"isError":false,"timestamp":1775178780335}}
{"type":"message","id":"ea239bec","parentId":"fc21dede","timestamp":"2026-04-03T01:13:07.101Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Ru3cWHCSkRRgd1dEWeyYTh","name":"read","arguments":{"limit":85,"offset":195,"path":"backend/models.py"}},{"type":"toolCall","id":"toolu_01Kr6PZmMAU5P1w7NCSjR9XS","name":"read","arguments":{"limit":50,"offset":115,"path":"backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":161,"cacheRead":68010,"cacheWrite":637,"totalTokens":68809,"cost":{"input":0.000005,"output":0.004025,"cacheRead":0.034005,"cacheWrite":0.00398125,"total":0.04201625}},"stopReason":"toolUse","timestamp":1775178780335}}
{"type":"message","id":"792202fe","parentId":"ea239bec","timestamp":"2026-04-03T01:13:07.104Z","message":{"role":"toolResult","toolCallId":"toolu_01Ru3cWHCSkRRgd1dEWeyYTh","toolName":"read","content":[{"type":"text","text":"    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n        back_populates=\"key_moments\", foreign_keys=[technique_page_id]\n    )\n\n\nclass TechniquePage(Base):\n    __tablename__ = \"technique_pages\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    slug: Mapped[str] = mapped_column(String(500), unique=True, nullable=False)\n    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    summary: Mapped[str | None] = mapped_column(Text, nullable=True)\n    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    signal_chains: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    source_quality: Mapped[SourceQuality | None] = mapped_column(\n        Enum(SourceQuality, name=\"source_quality\", create_constraint=True),\n        nullable=True,\n    )\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n        back_populates=\"technique_page\", foreign_keys=[KeyMoment.technique_page_id]\n    )\n    versions: Mapped[list[TechniquePageVersion]] = sa_relationship(\n        back_populates=\"technique_page\", order_by=\"TechniquePageVersion.version_number\"\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass TechniquePageVersion(Base):\n    \"\"\"Snapshot of a TechniquePage before a pipeline re-synthesis overwrites it.\"\"\"\n    __tablename__ = \"technique_page_versions\"\n\n\n[187 more lines in file. Use offset=280 to continue.]"}],"isError":false,"timestamp":1775178787104}}
{"type":"message","id":"a43de861","parentId":"792202fe","timestamp":"2026-04-03T01:13:07.110Z","message":{"role":"toolResult","toolCallId":"toolu_01Kr6PZmMAU5P1w7NCSjR9XS","toolName":"read","content":[{"type":"text","text":"\n\n# ── TechniquePage ────────────────────────────────────────────────────────────\n\nclass TechniquePageBase(BaseModel):\n    title: str\n    slug: str\n    topic_category: str\n    topic_tags: list[str] | None = None\n    summary: str | None = None\n    body_sections: dict | None = None\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\nclass TechniquePageCreate(TechniquePageBase):\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n\nclass TechniquePageRead(TechniquePageBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str = \"\"\n    creator_slug: str = \"\"\n    source_quality: str | None = None\n    view_count: int = 0\n    key_moment_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── RelatedTechniqueLink ─────────────────────────────────────────────────────\n\nclass RelatedTechniqueLinkBase(BaseModel):\n    source_page_id: uuid.UUID\n    target_page_id: uuid.UUID\n    relationship: str\n\nclass RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n    pass\n\nclass RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Tag ──────────────────────────────────────────────────────────────────────\n\n\n[259 more lines in file. Use offset=165 to continue.]"}],"isError":false,"timestamp":1775178787108}}
{"type":"message","id":"3eeb4f8d","parentId":"a43de861","timestamp":"2026-04-03T01:13:12.312Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013H3bsQuT24YDwKy5vne1u6","name":"read","arguments":{"limit":30,"offset":270,"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_01RsM9zdbSMVRBLBW7jkddCP","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n 'get_technique\\|def get_technique_detail\\|source_video_links\\|selectinload.*technique' backend/routers/techniques.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":183,"cacheRead":68647,"cacheWrite":1819,"totalTokens":70650,"cost":{"input":0.000005,"output":0.004575,"cacheRead":0.0343235,"cacheWrite":0.01136875,"total":0.050272250000000004}},"stopReason":"toolUse","timestamp":1775178787108}}
{"type":"message","id":"bd24598f","parentId":"3eeb4f8d","timestamp":"2026-04-03T01:13:12.320Z","message":{"role":"toolResult","toolCallId":"toolu_013H3bsQuT24YDwKy5vne1u6","toolName":"read","content":[{"type":"text","text":"    \"\"\"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    version_count: int = 0\n\n\n# ── Technique Page Versions ──────────────────────────────────────────────────\n\nclass TechniquePageVersionSummary(BaseModel):\n    \"\"\"Lightweight version entry for list responses.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    version_number: int\n    created_at: datetime\n    pipeline_metadata: dict | None = None\n\n\nclass TechniquePageVersionDetail(BaseModel):\n    \"\"\"Full version snapshot for detail responses.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n[124 more lines in file. Use offset=300 to continue.]"}],"isError":false,"timestamp":1775178792320}}
{"type":"message","id":"766a7c98","parentId":"bd24598f","timestamp":"2026-04-03T01:13:12.323Z","message":{"role":"toolResult","toolCallId":"toolu_01RsM9zdbSMVRBLBW7jkddCP","toolName":"bash","content":[{"type":"text","text":"209:async def get_technique(\n334:async def get_technique_version(\n"}],"isError":false,"timestamp":1775178792321}}
{"type":"message","id":"d17aa2fe","parentId":"766a7c98","timestamp":"2026-04-03T01:13:16.736Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01RU5TaKyLWQ7LRpVW4doy5T","name":"read","arguments":{"limit":60,"offset":209,"path":"backend/routers/techniques.py"}},{"type":"toolCall","id":"toolu_018NYweDdW7iFNnhV2oLVXBg","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n 'class SourceVideo\\b' backend/models.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":160,"cacheRead":70466,"cacheWrite":559,"totalTokens":71186,"cost":{"input":0.000005,"output":0.004,"cacheRead":0.035233,"cacheWrite":0.0034937500000000003,"total":0.04273175}},"stopReason":"toolUse","timestamp":1775178792322}}
{"type":"message","id":"ff879454","parentId":"d17aa2fe","timestamp":"2026-04-03T01:13:16.743Z","message":{"role":"toolResult","toolCallId":"toolu_01RU5TaKyLWQ7LRpVW4doy5T","toolName":"read","content":[{"type":"text","text":"async 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).selectinload(KeyMoment.source_video),\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 = []\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\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[96 more lines in file. Use offset=269 to continue.]"}],"isError":false,"timestamp":1775178796743}}
{"type":"message","id":"262f461a","parentId":"ff879454","timestamp":"2026-04-03T01:13:16.748Z","message":{"role":"toolResult","toolCallId":"toolu_018NYweDdW7iFNnhV2oLVXBg","toolName":"bash","content":[{"type":"text","text":"120:class SourceVideo(Base):\n"}],"isError":false,"timestamp":1775178796746}}
{"type":"message","id":"1997bd38","parentId":"262f461a","timestamp":"2026-04-03T01:13:20.531Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01UgACmP5RxAFk5DznmHGiB3","name":"read","arguments":{"limit":25,"offset":120,"path":"backend/models.py"}},{"type":"toolCall","id":"toolu_01K6jPfXPFitM5oEgTjGfSJL","name":"read","arguments":{"limit":15,"offset":269,"path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":164,"cacheRead":71025,"cacheWrite":906,"totalTokens":72096,"cost":{"input":0.000005,"output":0.0041,"cacheRead":0.035512499999999995,"cacheWrite":0.0056625,"total":0.045279999999999994}},"stopReason":"toolUse","timestamp":1775178796747}}
{"type":"message","id":"3d605fc9","parentId":"1997bd38","timestamp":"2026-04-03T01:13:20.534Z","message":{"role":"toolResult","toolCallId":"toolu_01UgACmP5RxAFk5DznmHGiB3","toolName":"read","content":[{"type":"text","text":"class SourceVideo(Base):\n    __tablename__ = \"source_videos\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    filename: Mapped[str] = mapped_column(String(500), nullable=False)\n    file_path: Mapped[str] = mapped_column(String(1000), nullable=False)\n    duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True)\n    content_type: Mapped[ContentType] = mapped_column(\n        Enum(ContentType, name=\"content_type\", create_constraint=True),\n        nullable=False,\n    )\n    transcript_path: Mapped[str | None] = mapped_column(String(1000), nullable=True)\n    content_hash: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.not_started,\n        server_default=\"not_started\",\n    )\n    classification_data: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n\n[322 more lines in file. Use offset=145 to continue.]"}],"isError":false,"timestamp":1775178800534}}
{"type":"message","id":"28e4db2b","parentId":"3d605fc9","timestamp":"2026-04-03T01:13:20.538Z","message":{"role":"toolResult","toolCallId":"toolu_01K6jPfXPFitM5oEgTjGfSJL","toolName":"read","content":[{"type":"text","text":"                )\n            )\n\n    # Supplement with dynamic related techniques (up to 4 total)\n    curated_slugs = {link.target_slug for link in related_links}\n    max_related = 4\n    if len(related_links) < max_related:\n        remaining = max_related - len(related_links)\n        try:\n            dynamic_links = await _find_dynamic_related(\n                db, page, curated_slugs, remaining\n            )\n            related_links.extend(dynamic_links)\n        except Exception:\n            logger.warning(\n\n[81 more lines in file. Use offset=284 to continue.]"}],"isError":false,"timestamp":1775178800534}}
{"type":"message","id":"852daeaf","parentId":"28e4db2b","timestamp":"2026-04-03T01:13:24.531Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Y9qnntZzmwbUhBnxF56Txs","name":"read","arguments":{"limit":50,"offset":284,"path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":92,"cacheRead":71931,"cacheWrite":765,"totalTokens":72789,"cost":{"input":0.000005,"output":0.0023,"cacheRead":0.0359655,"cacheWrite":0.00478125,"total":0.04305175}},"stopReason":"toolUse","timestamp":1775178800535}}
{"type":"message","id":"e4f6d34b","parentId":"852daeaf","timestamp":"2026-04-03T01:13:24.534Z","message":{"role":"toolResult","toolCallId":"toolu_01Y9qnntZzmwbUhBnxF56Txs","toolName":"read","content":[{"type":"text","text":"                \"Dynamic related query failed for %s, continuing with curated only\",\n                slug,\n                exc_info=True,\n            )\n\n    base = TechniquePageRead.model_validate(page)\n\n    # Count versions for this page\n    version_count_stmt = select(func.count()).where(\n        TechniquePageVersion.technique_page_id == page.id\n    )\n    version_count_result = await db.execute(version_count_stmt)\n    version_count = version_count_result.scalar() or 0\n\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n        version_count=version_count,\n    )\n\n\n@router.get(\"/{slug}/versions\", response_model=TechniquePageVersionListResponse)\nasync def list_technique_versions(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> TechniquePageVersionListResponse:\n    \"\"\"List all version snapshots for a technique page, newest first.\"\"\"\n    # Resolve the technique page\n    page_stmt = select(TechniquePage).where(TechniquePage.slug == slug)\n    page_result = await db.execute(page_stmt)\n    page = page_result.scalar_one_or_none()\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Fetch versions ordered by version_number DESC\n    versions_stmt = (\n        select(TechniquePageVersion)\n        .where(TechniquePageVersion.technique_page_id == page.id)\n        .order_by(TechniquePageVersion.version_number.desc())\n    )\n    versions_result = await db.execute(versions_stmt)\n    versions = versions_result.scalars().all()\n\n    items = [TechniquePageVersionSummary.model_validate(v) for v in versions]\n    return TechniquePageVersionListResponse(items=items, total=len(items))\n\n\n@router.get(\"/{slug}/versions/{version_number}\", response_model=TechniquePageVersionDetail)\n\n[31 more lines in file. Use offset=334 to continue.]"}],"isError":false,"timestamp":1775178804533}}
{"type":"message","id":"3b334493","parentId":"e4f6d34b","timestamp":"2026-04-03T01:13:33.474Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me read the templates."},{"type":"toolCall","id":"toolu_01NZUe49KCseHnYH8tnk9gQN","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_0156yQrChpZ7ANwJrFNXbDcZ","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/task-plan.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":127,"cacheRead":71931,"cacheWrite":1433,"totalTokens":73492,"cost":{"input":0.000005,"output":0.0031750000000000003,"cacheRead":0.0359655,"cacheWrite":0.00895625,"total":0.04810175}},"stopReason":"toolUse","timestamp":1775178804533}}
{"type":"message","id":"a2c96468","parentId":"3b334493","timestamp":"2026-04-03T01:13:33.478Z","message":{"role":"toolResult","toolCallId":"toolu_01NZUe49KCseHnYH8tnk9gQN","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":1775178813477}}
{"type":"message","id":"3a792e7a","parentId":"a2c96468","timestamp":"2026-04-03T01:13:33.482Z","message":{"role":"toolResult","toolCallId":"toolu_0156yQrChpZ7ANwJrFNXbDcZ","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":1775178813480}}
{"type":"message","id":"71cbefc0","parentId":"3a792e7a","timestamp":"2026-04-03T01:14:30.542Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture. This is a low-risk, straightforward slice: add a column, create a table, update models/schemas, wire the router. The research doc nailed the decomposition.\n\nGiven the small scope, I'll plan 2 tasks:\n1. Migration + Model + Schema changes (the data layer)\n2. Router wiring + verification (the API layer)\n\nThis could even be 1 task, but splitting migration/model from router keeps verification clean and avoids a single task touching too many concerns.\n\nLet me plan this out.","thinkingSignature":"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"},{"type":"text","text":"Good. The research is accurate — confirmed no `body_sections_format` column, no `TechniquePageVideo` model, latest migration is `011`. The `TechniquePageDetail` schema needs `source_videos` and `body_sections_format` added, and the detail endpoint needs eager-loading for the new association.\n\nThis is a small, well-scoped slice. Two tasks: one for the data layer (migration + model + schema), one for the router wiring + end-to-end verification. Splitting keeps each task focused and independently verifiable.\n\nNo requirements are directly owned by this slice — it's an enabler for S04/S05/S06/S07 which deliver user-facing features against existing requirements (R003, R006, R012)."},{"type":"toolCall","id":"toolu_01C3cpVV9isbF9NYfSSTeRrF","name":"gsd_plan_slice","arguments":{"goal":"Add `body_sections_format` column to technique_pages, create `technique_page_videos` association table, and expose both in the API response.","integrationClosure":"- Upstream surfaces consumed: `backend/models.py` (TechniquePage, SourceVideo), `backend/schemas.py` (TechniquePageDetail), `backend/routers/techniques.py` (get_technique endpoint)\n- New wiring: `technique_page_videos` table, `body_sections_format` column, `source_videos` field on detail response\n- What remains: S04 populates the association table during pipeline runs. S05 uses `body_sections_format` to discriminate rendering. S06 uses `source_videos` in admin UI.","milestoneId":"M014","observabilityImpact":"None — pure data model expansion with no new runtime signals.","proofLevel":"This slice proves: contract (schema + migration). Real runtime required: yes (migration against DB). Human/UAT required: no.","sliceId":"S03","successCriteria":"- Alembic migration `012_multi_source_format.py` runs clean on the database\n- `TechniquePageVideo` model importable, `TechniquePage.body_sections_format` column exists\n- API `GET /techniques/{slug}` response includes `body_sections_format` (string) and `source_videos` (list) fields\n- Existing technique pages return `body_sections_format: \"v1\"` and `source_videos: []`","tasks":[{"description":"Create the Alembic migration for the new column and table, update the SQLAlchemy models, and widen the Pydantic API schemas.\n\nThis is the data layer foundation — migration file, model changes, and schema changes. The router wiring comes in T02.\n\n## Steps\n\n1. Create `alembic/versions/012_multi_source_format.py`:\n   - Add `body_sections_format` column to `technique_pages`: `VARCHAR(20)`, `NOT NULL`, `server_default='v1'`\n   - Create `technique_page_videos` table: `id` (UUID PK), `technique_page_id` (UUID FK → technique_pages.id ON DELETE CASCADE), `source_video_id` (UUID FK → source_videos.id ON DELETE CASCADE), `added_at` (TIMESTAMP, server_default=now()), UNIQUE constraint on (technique_page_id, source_video_id)\n   - Downgrade: drop `technique_page_videos` table, drop `body_sections_format` column\n\n2. Update `backend/models.py`:\n   - Add `body_sections_format` mapped column to `TechniquePage`: `String(20)`, default `'v1'`, server_default `'v1'`, nullable=False\n   - Add `TechniquePageVideo` model class with fields matching migration, plus `UniqueConstraint` named `uq_page_video`\n   - Add `sa_relationship` on `TechniquePage`: `source_video_links: Mapped[list[TechniquePageVideo]]` with back_populates\n   - Add `sa_relationship` on `TechniquePageVideo` back to both `TechniquePage` and `SourceVideo`\n   - Note: use `sa_relationship` (the alias) per KNOWLEDGE.md rule about column names shadowing ORM functions\n\n3. Update `backend/schemas.py`:\n   - Change `TechniquePageBase.body_sections` type from `dict | None` to `list | dict | None`\n   - Add `body_sections_format: str = \"v1\"` to `TechniquePageBase`\n   - Add `SourceVideoSummary` schema: `id` (UUID), `filename` (str), `content_type` (str), `added_at` (datetime | None)\n   - Add `source_videos: list[SourceVideoSummary] = Field(default_factory=list)` to `TechniquePageDetail`\n\n## Must-Haves\n\n- [ ] Migration file has both upgrade and downgrade\n- [ ] `body_sections_format` defaults to `'v1'` for existing rows\n- [ ] `TechniquePageVideo` has CASCADE deletes on both FKs\n- [ ] Unique constraint on (technique_page_id, source_video_id)\n- [ ] `body_sections` schema type widened to accept list or dict\n- [ ] `SourceVideoSummary` schema uses `from_attributes=True`\n\n## Verification\n\n- `cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; print(TechniquePage.body_sections_format); print('OK')\"` succeeds\n- `cd backend && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('OK')\"` succeeds\n- `alembic upgrade head` runs without error (tested via Docker: `docker exec chrysopedia-api alembic upgrade head`)","estimate":"30m","expectedOutput":["`alembic/versions/012_multi_source_format.py` — new migration adding column and table","`backend/models.py` — updated with TechniquePageVideo model and body_sections_format column","`backend/schemas.py` — updated with SourceVideoSummary, widened body_sections type, source_videos on detail"],"files":["alembic/versions/012_multi_source_format.py","backend/models.py","backend/schemas.py"],"inputs":["`backend/models.py` — existing TechniquePage and SourceVideo models","`backend/schemas.py` — existing TechniquePageBase, TechniquePageRead, TechniquePageDetail schemas","`alembic/versions/011_classification_cache_and_stage_rerun.py` — previous migration in chain"],"taskId":"T01","title":"Alembic migration + SQLAlchemy model + Pydantic schema updates","verify":"cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format'); print('models OK')\" && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('schemas OK')\""},{"description":"Update the technique detail endpoint to eagerly load source_video_links and build the source_videos list on the response. Verify end-to-end with an API call.\n\n## Steps\n\n1. Update `backend/routers/techniques.py` `get_technique()` function:\n   - Add `selectinload(TechniquePage.source_video_links).selectinload(TechniquePageVideo.source_video)` to the query options\n   - After building existing response fields, build `source_videos` list from `page.source_video_links`\n   - Each item: `SourceVideoSummary(id=link.source_video.id, filename=link.source_video.filename, content_type=link.source_video.content_type.value, added_at=link.added_at)`\n   - Add the import for `TechniquePageVideo` and `SourceVideoSummary` at the top of the file\n   - Pass `source_videos=source_videos` to the `TechniquePageDetail(...)` constructor\n\n2. Verify the endpoint returns the new fields:\n   - Existing pages should return `body_sections_format: \"v1\"` (inherited from schema default + model default)\n   - Existing pages should return `source_videos: []` (no rows in association table yet)\n\n## Must-Haves\n\n- [ ] `selectinload` for source_video_links chained to source_video\n- [ ] `source_videos` list built from association table rows\n- [ ] Existing pages return empty `source_videos` list (not null, not omitted)\n- [ ] `body_sections_format` appears in response\n\n## Verification\n\n- Pick any existing technique slug from the DB\n- `curl -s http://ub01:8096/techniques/{slug} | python3 -m json.tool | grep -E 'body_sections_format|source_videos'` shows both fields\n- Or if testing locally: verify the router code by reading the constructed response and confirming both fields are passed","estimate":"20m","expectedOutput":["`backend/routers/techniques.py` — updated with source_videos loading and response construction"],"files":["backend/routers/techniques.py"],"inputs":["`backend/models.py` — TechniquePageVideo model and source_video_links relationship (from T01)","`backend/schemas.py` — SourceVideoSummary and updated TechniquePageDetail (from T01)","`backend/routers/techniques.py` — existing get_technique endpoint"],"taskId":"T02","title":"Wire source_videos into technique detail endpoint","verify":"ssh ub01 'docker exec chrysopedia-api alembic upgrade head' && ssh ub01 'curl -s http://localhost:8000/techniques/$(docker exec chrysopedia-db psql -U chrysopedia -tAc \"SELECT slug FROM technique_pages LIMIT 1\") | python3 -m json.tool | grep -E \"body_sections_format|source_videos\"'"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":2799,"cacheRead":73364,"cacheWrite":2735,"totalTokens":78899,"cost":{"input":0.000005,"output":0.06997500000000001,"cacheRead":0.036682,"cacheWrite":0.01709375,"total":0.12375575000000001}},"stopReason":"toolUse","timestamp":1775178813481}}
{"type":"message","id":"653ceade","parentId":"71cbefc0","timestamp":"2026-04-03T01:14:30.592Z","message":{"role":"toolResult","toolCallId":"toolu_01C3cpVV9isbF9NYfSSTeRrF","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S03 (M014)"}],"details":{"operation":"plan_slice","milestoneId":"M014","sliceId":"S03","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/tasks/T02-PLAN.md"]},"isError":false,"timestamp":1775178870591}}
{"type":"message","id":"2914efb0","parentId":"653ceade","timestamp":"2026-04-03T01:14:37.820Z","message":{"role":"assistant","content":[{"type":"text","text":"Self-audit:\n\n- **Completion semantics**: T01 creates the migration + model + schema. T02 wires the router. After both, the demo (\"migration runs clean, API includes both fields\") is true.\n- **Requirement coverage**: No active requirements directly owned by S03 — it's infrastructure for S04-S07.\n- **Task completeness**: Both tasks have steps, must-haves, verification, concrete file paths in inputs/outputs.\n- **Dependency correctness**: T02 depends on T01's model/schema output. Ordering is correct.\n- **Scope**: T01 touches 3 files, T02 touches 1. Well within limits.\n- **Feature completeness**: Each task produces real progress — not scaffolding.\n\nSlice S03 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":184,"cacheRead":76099,"cacheWrite":2690,"totalTokens":78974,"cost":{"input":0.000005,"output":0.0046,"cacheRead":0.0380495,"cacheWrite":0.0168125,"total":0.059467}},"stopReason":"stop","timestamp":1775178870592}}
