{"type":"thinking_level_change","id":"0eaedc9e","parentId":null,"timestamp":"2026-03-30T19:12:58.309Z","thinkingLevel":"medium"}
{"type":"model_change","id":"95938a22","parentId":"0eaedc9e","timestamp":"2026-03-30T19:12:58.310Z","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/M007/slices/S03/S03-PLAN.md` and `.gsd/milestones/M007/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 (\"Transcript Folder Watcher — Auto-Ingest Service\") — Milestone M007\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M007/M007-ROADMAP.md`\n\n# M007: \n\n## Vision\nMake the pipeline fully transparent — every LLM call's full prompt and response viewable, copyable, exportable, with per-stage token accounting. Automate transcript ingestion via folder monitoring instead of manual POST. Tighten the admin UX: prune dead weight, improve workflow clarity. Fix frontend overflow and mobile responsiveness bugs. Set the foundation for iterating on content quality through better visibility into what the LLM is actually doing.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Pipeline Debug Mode — Full LLM I/O Capture and Token Accounting | medium | — | ✅ | Toggle debug mode on for a video, trigger pipeline, see full prompt + response stored for every LLM call with per-stage token breakdown |\n| S02 | Debug Payload Viewer — Inline View, Copy, and Export in Admin UI | low | S01 | ✅ | Admin clicks an LLM call event, sees full prompt and response in a readable viewer, copies to clipboard, or downloads as JSON |\n| S03 | Transcript Folder Watcher — Auto-Ingest Service | medium | — | ⬜ | Drop a transcript JSON into the watch folder on ub01 → file is detected, validated, POSTed to /ingest, pipeline triggers automatically |\n| S04 | Admin UX Audit — Prune, Streamline, and Polish | low | S02 | ⬜ | Admin pipeline page is cleaner and more efficient for daily content management. Dead UI elements removed. Workflow improvements visible. |\n| S05 | Key Moment Card Text Overflow Fix | low | — | ⬜ | Key moment cards with long filenames and timestamp ranges display cleanly — text truncated with ellipsis or wrapped within card bounds, no horizontal bleed |\n| S06 | Mobile Viewport Overflow Fix — Technique Pages and Global Content | low | S05 | ⬜ | Technique page on Galaxy S25 Ultra renders cleanly — body text wraps, tags don't overflow, metadata stays within viewport, no horizontal scroll |\n\n---\n\n### Slice Research\nSource: `.gsd/milestones/M007/slices/S03/S03-RESEARCH.md`\n\n# S03 Research — Transcript Folder Watcher — Auto-Ingest Service\n\n## Summary\n\nAdd a folder-watching service that monitors a directory for new transcript JSON files, validates them, and POSTs them to the existing `/api/v1/ingest` endpoint. This replaces manual curl/upload for getting transcripts into the pipeline.\n\nThe work is straightforward — filesystem monitoring + HTTP POST using well-understood Python libraries already in the project. The ingest endpoint is mature (6 integration tests, handles idempotent re-upload, auto-dispatches pipeline). The watcher just needs to be a reliable bridge from \"file appears on disk\" to \"POST /api/v1/ingest\".\n\n## Recommendation\n\n**watchdog** library + **httpx** (already a dependency) in a lightweight Python script, deployed as a new Docker Compose service with the watch folder bind-mounted. Polling fallback via `PollingObserver` for reliability on network-mounted filesystems.\n\n## Implementation Landscape\n\n### Current Ingest Flow\n- `POST /api/v1/ingest` accepts multipart file upload (`UploadFile`)\n- Validates JSON structure (requires `source_file`, `creator_folder`, `duration_seconds`, `segments`)\n- Creates/updates Creator, upserts SourceVideo, bulk-inserts TranscriptSegments\n- Saves raw JSON to `/data/transcripts/{creator_folder}/`\n- Dispatches Celery pipeline via `run_pipeline.delay(str(video.id))`\n- Returns `TranscriptIngestResponse` with `video_id`, `processing_status`, etc.\n- Already handles idempotent re-upload (content hash matching, duplicate detection)\n\n### Transcript JSON Format\nFiles produced by `whisper/transcribe.py` on hal0022:\n```json\n{\n  \"source_file\": \"filename.mp4\",\n  \"creator_folder\": \"CreatorName\",\n  \"duration_seconds\": 2547,\n  \"segments\": [{\"start\": 0.0, \"end\": 4.52, \"text\": \"...\", \"words\": [...]}]\n}\n```\n\n### Deployment Topology\n- All services run on **ub01** via Docker Compose (`xpltd_chrysopedia` project)\n- Data volume: `/vmPool/r/services/chrysopedia_data` → mounted at `/data` in API/worker containers\n- Existing transcripts live at `/vmPool/r/services/chrysopedia_data/transcripts/{CreatorName}/`\n- The watcher needs a **separate watch folder** (not the transcripts store) — the ingest endpoint copies files there itself\n- Proposed watch folder: `/vmPool/r/services/chrysopedia_watch/` → mounted at `/watch` in the watcher container\n- API is reachable from other containers at `http://chrysopedia-api:8000` on the `chrysopedia` Docker network\n\n### Key Design Decisions\n\n**Watch folder ≠ transcript storage.** The ingest endpoint already saves transcripts to `/data/transcripts/`. The watch folder is an inbox — files land there, get POSTed, then get moved to a `processed/` or `failed/` subfolder. This prevents double-processing and gives visibility into what's been handled.\n\n**File stability check.** When watchdog fires `on_created`, the file may still be being written (especially over network mounts or SCP). The watcher should wait until the file size stops changing (poll twice with a 1-2s delay) before attempting to read and POST it.\n\n**Recursive vs flat watching.** Watch recursively — the whisper script outputs to `{output_dir}/{video_stem}.json` but users might organize into creator subfolders. The `creator_folder` field inside the JSON is authoritative, not the filesystem path.\n\n**Error handling.** Failed files move to `failed/` with a `.error` sidecar file containing the HTTP response or exception. This avoids infinite retry loops and gives the admin a clear queue of problems to fix.\n\n### Files to Create/Modify\n\n| File | Action | Purpose |\n|------|--------|---------|\n| `backend/watcher.py` | **Create** | Main watcher script — watchdog Observer + httpx POST logic |\n| `docker/Dockerfile.watcher` | **Create** | Lightweight image (could reuse Dockerfile.api or be minimal) |\n| `docker-compose.yml` | **Modify** | Add `chrysopedia-watcher` service with watch folder bind mount |\n| `backend/config.py` | **Modify** | Add `watch_folder_path` and `watcher_api_url` settings |\n\n### Dependencies\n\n- **watchdog** — needs adding to `requirements.txt` (not currently a dependency)\n- **httpx** — already in `requirements.txt`, used for HTTP client\n- **json** / **os** / **shutil** / **time** / **logging** — stdlib only\n\n### Watcher Service Architecture\n\n```\nchrysopedia-watcher container:\n  ┌──────────────────────────────────┐\n  │  watchdog Observer               │\n  │  monitors /watch/ recursively    │\n  │                                  │\n  │  on_created *.json:              │\n  │    1. Wait for file stability    │\n  │    2. Read & validate JSON keys  │\n  │    3. POST to chrysopedia-api    │\n  │    4. Move to processed/ or      │\n  │       failed/ with sidecar       │\n  └──────────────────────────────────┘\n```\n\n### Docker Compose Service\n\n```yaml\nchrysopedia-watcher:\n  build:\n    context: .\n    dockerfile: docker/Dockerfile.api  # reuse same image\n  container_name: chrysopedia-watcher\n  restart: unless-stopped\n  command: [\"python\", \"watcher.py\"]\n  environment:\n    WATCHER_API_URL: http://chrysopedia-api:8000/api/v1/ingest\n    WATCH_FOLDER: /watch\n  volumes:\n    - /vmPool/r/services/chrysopedia_watch:/watch\n  depends_on:\n    chrysopedia-api:\n      condition: service_healthy\n  networks:\n    - chrysopedia\n  healthcheck:\n    test: [\"CMD-SHELL\", \"pgrep -f watcher.py || exit 1\"]\n    interval: 30s\n    timeout: 5s\n    retries: 3\n```\n\n### Natural Task Seams\n\n1. **T01: Create watcher.py** — the core script with watchdog Observer, file stability check, JSON validation, httpx multipart POST, processed/failed file management, structured logging. This is ~80% of the work.\n2. **T02: Docker integration** — Dockerfile (or reuse), compose service definition, config settings, host folder creation. Verify end-to-end: drop file → watcher detects → POSTs to API → pipeline triggers.\n\n### Verification Strategy\n\n- **Unit-level:** Drop a valid transcript JSON into the watch folder on ub01 → confirm watcher logs pickup, API returns 200, video appears in DB with `transcribed` status, pipeline dispatches.\n- **Error case:** Drop an invalid JSON → confirm it moves to `failed/` with error sidecar, watcher continues running.\n- **Stability:** Watcher survives API container restart (retry logic or health-check-gated startup).\n- **Idempotency:** Drop same file twice → second copy moves to processed (API handles idempotent re-upload).\n\n### Risks\n\n**Low risk overall.** The ingest endpoint is battle-tested. The watcher is a thin bridge. Main concern is file stability detection on the bind mount — watchdog's inotify works well on local Linux filesystems, which is what `/vmPool/r/services/` is (ZFS on ub01). If files arrive via SCP or rsync, partial writes could trigger premature pickup — the stability check (size-stable for 2s) handles this.\n\n### Skills\n\nNo specialized skills needed. Standard Python, Docker Compose, watchdog library. No frontend work.\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n| D013 | M001/S05 | requirement | R008 Topics Browse Page status | validated | TopicsBrowse.tsx renders two-level topic hierarchy (6 categories from canonical_tags.yaml with expandable sub-topics showing technique_count and creator_count). Filter input narrows categories/sub-topics. Clicking sub-topic navigates to search with scope=topics. Backend GET /api/v1/topics aggregates counts from DB per sub-topic. Integration test verifies topic hierarchy response shape. | Yes | agent |\n| D014 | M001/S05 | requirement | R014 Creator Equity status | validated | CreatorsBrowse.tsx defaults to sort=random. Backend uses func.random() ORDER BY for randomized sort. Integration test verifies random sort returns all creators (order may vary). All creators get equal visual weight in the UI — no featured/highlighted treatment. Equal-weight row layout confirmed in CSS. | Yes | agent |\n| D015 | M002/S01 | architecture | Docker network subnet for Chrysopedia on ub01 | 172.32.0.0/24 — free on ub01, replaces 172.24.0.0/24 which is used by xpltd_docs_default | 172.24.0.0/24 was already allocated to xpltd_docs_default network on ub01. Scanned all existing subnets and 172.32.0.0/24 was the first unoccupied /24 in the 172.x range. | Yes | agent |\n| D016 | M002/S01 | architecture | Embedding service for the pipeline and search — OpenWebUI doesn't serve /v1/embeddings | Add Ollama container (ollama/ollama:latest) to the compose stack running nomic-embed-text on CPU | The FYN OpenWebUI instance at chat.forgetyour.name returns 404/500 on /v1/embeddings. No Ollama instance exists on the network. Ollama provides the standard OpenAI-compatible /v1/embeddings endpoint that both EmbeddingClient and SearchService expect. | Yes | agent |\n| D017 |  | frontend | CSS theming approach for dark mode | 77 semantic CSS custom properties in :root block, all hardcoded colors replaced with var(--*) references | A complete variable-based palette enables theme switching, ensures consistency, and makes future color changes single-point edits. 77 tokens (vs ~30 initially planned) were needed to cover all semantic contexts — badges, buttons, surfaces, text, accents, shadows, and status states. Cyan (#22d3ee) replaces indigo as the accent color throughout. | Yes | agent |\n| D018 | M004/S04 | architecture | Version snapshot failure handling strategy in stage 5 | Best-effort versioning — snapshot INSERT failure logs ERROR but does not block page update (existing content overwrites proceed regardless) | Versioning is a diagnostic/benchmarking feature. Losing a version snapshot is far less damaging than failing the entire page synthesis. Follows the same non-blocking side-effect pattern established in D005 for embedding/Qdrant failures. | Yes | agent |\n| D019 | M005/S02 | frontend-layout | Technique page layout structure | CSS grid 2-column layout: 1fr main + 22rem sticky sidebar, collapsing to single column at 768px. Page max-width widened from 48rem to 64rem. | 22rem sidebar provides enough room for moment cards and plugin lists without cramming. 64rem total width accommodates both columns comfortably on standard desktop displays. Sticky sidebar keeps navigation aids visible while scrolling prose. 768px breakpoint aligns with existing mobile styles in the codebase. | Yes | agent |\n| D020 | M006/S05 | frontend | Topics page card layout visual differentiation approach | 3px colored left border + small colored dot next to category name, using existing badge CSS custom properties per category | Subtler than a full colored header — maintains dark theme cohesion while providing clear visual differentiation between 7 category cards. Reuses existing --color-badge-cat-*-bg/text custom properties, avoiding new color definitions. | Yes | agent |\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (6 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic shows technique pages.\n**Validation:** Hierarchy renders, filtering works, sub-topic links show correct technique pages.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n---\n\n[...truncated 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/M007/M007-ROADMAP.md`\n- **Slice Research**: `.gsd/milestones/M007/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":"3903f151","parentId":"95938a22","timestamp":"2026-03-30T19:12:58.313Z"}
{"type":"message","id":"cf7491bf","parentId":"3903f151","timestamp":"2026-03-30T19:13:05.754Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me explore the codebase to ground the plan in reality before decomposing.","thinkingSignature":"EogCClkIDBgCKkC7Y4YWOGrBVHKbpo/xSLILUWkWzOX0mpGGsf/c5mUNdf9Iv79mzW1fqCgfDGeuw8N2VrZMEvb0Ml+pPdvtCu8CMg9jbGF1ZGUtb3B1cy00LTY4ABIMevHTqMLU6eZ2TSfTGgywAtAWI0d6YfUAdG8iMGyMAaWd3ac+wv+VB1G93TIykqTQjEbBNaupEbfsBvONpgBhJgV0Llj723PE01MP1ypd81caAQNZzw2VJY+dwVXQxu9FADLdaM1AyRtNZBNmMX8YOn3lwJADqLsalszwJiJnYkB02uf1yCvZ3eqCfyAFxqrstioS/K5mYgbR1dVUj6LabIsjRL1gKc3bj3uQGAE="},{"type":"text","text":"Let me explore the relevant code to ground the plan."},{"type":"toolCall","id":"toolu_01CBaX6gUc8mavoLS2uZuH9t","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && cat backend/requirements.txt | head -30"}},{"type":"toolCall","id":"toolu_01GhN1rjaNA7CrUhh1bTuUQY","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls docker/ 2>/dev/null; head -5 docker-compose.yml 2>/dev/null; ls backend/config.py backend/watcher.py 2>/dev/null"}},{"type":"toolCall","id":"toolu_01XZ27e2uKPK6tQ2rAyziK98","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"ingest\" backend/routers/ && rg \"def ingest\\|@router.post.*ingest\" backend/routers/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":305,"cacheRead":58112,"cacheWrite":9292,"totalTokens":67711,"cost":{"input":0.00001,"output":0.007625000000000001,"cacheRead":0.029056,"cacheWrite":0.058075,"total":0.094766}},"stopReason":"toolUse","timestamp":1774897978311}}
{"type":"message","id":"d0f69288","parentId":"cf7491bf","timestamp":"2026-03-30T19:13:05.771Z","message":{"role":"toolResult","toolCallId":"toolu_01CBaX6gUc8mavoLS2uZuH9t","toolName":"bash","content":[{"type":"text","text":"cat: backend/requirements.txt: No such file or directory\n"}],"isError":false,"timestamp":1774897985770}}
{"type":"message","id":"72681983","parentId":"d0f69288","timestamp":"2026-03-30T19:13:05.772Z","message":{"role":"toolResult","toolCallId":"toolu_01GhN1rjaNA7CrUhh1bTuUQY","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774897985772}}
{"type":"message","id":"ee82191a","parentId":"72681983","timestamp":"2026-03-30T19:13:05.776Z","message":{"role":"toolResult","toolCallId":"toolu_01XZ27e2uKPK6tQ2rAyziK98","toolName":"bash","content":[{"type":"text","text":"rg: backend/routers/: No such file or directory (os error 2)\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774897985775}}
{"type":"message","id":"b69ae76c","parentId":"ee82191a","timestamp":"2026-03-30T19:13:11.209Z","message":{"role":"assistant","content":[{"type":"text","text":"This is the local workspace, but per CLAUDE.md, the canonical codebase is on ub01. Let me check what's actually here."},{"type":"toolCall","id":"toolu_01EVk2kSQ3wQzvXqUmbe4qzE","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls -la"}},{"type":"toolCall","id":"toolu_012gjipjS6DySyEAMp3hpkFq","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find . -name \"*.py\" -not -path \"./.gsd/*\" | head -20; echo \"---\"; find . -name \"docker-compose*\" -o -name \"Dockerfile*\" -o -name \"requirements*.txt\" | grep -v .gsd | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":221,"cacheRead":67404,"cacheWrite":410,"totalTokens":68036,"cost":{"input":0.000005,"output":0.005525,"cacheRead":0.033701999999999996,"cacheWrite":0.0025625,"total":0.0417945}},"stopReason":"toolUse","timestamp":1774897985775}}
{"type":"message","id":"c224b1ee","parentId":"b69ae76c","timestamp":"2026-03-30T19:13:11.220Z","message":{"role":"toolResult","toolCallId":"toolu_01EVk2kSQ3wQzvXqUmbe4qzE","toolName":"bash","content":[{"type":"text","text":"total 48\ndrwxrwxr-x 10 aux aux 4096 Mar 30 19:01 .\ndrwxrwxr-x  4 aux aux 4096 Mar 29 17:47 ..\ndrwxrwxr-x  3 aux aux 4096 Mar 30 08:33 .artifacts\ndrwxrwxr-x  3 aux aux 4096 Mar 30 19:01 backend\ndrwxrwxr-x  2 aux aux 4096 Mar 30 07:38 .bg-shell\ndrwxrwxr-x  2 aux aux 4096 Mar 30 12:44 .claude\n-rw-rw-r--  1 aux aux 2119 Mar 30 19:01 CLAUDE.md\ndrwxrwxr-x  5 aux aux 4096 Mar 30 19:01 frontend\ndrwxrwxr-x  8 aux aux 4096 Mar 30 19:07 .git\n-rw-rw-r--  1 aux aux  353 Mar 29 21:39 .gitignore\ndrwxrwxr-x  6 aux aux 4096 Mar 30 19:12 .gsd\ndrwxrwxr-x  2 aux aux 4096 Mar 30 19:13 .gsd.lock\n"}],"isError":false,"timestamp":1774897991220}}
{"type":"message","id":"d3b293be","parentId":"c224b1ee","timestamp":"2026-03-30T19:13:11.270Z","message":{"role":"toolResult","toolCallId":"toolu_012gjipjS6DySyEAMp3hpkFq","toolName":"bash","content":[{"type":"text","text":"./backend/pipeline/stages.py\n---\n"}],"isError":false,"timestamp":1774897991269}}
{"type":"message","id":"5fe824a2","parentId":"d3b293be","timestamp":"2026-03-30T19:13:15.642Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01TAxkDTzGPpwDvdnBFErnB7","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"ls /vmPool/r/repos/xpltdco/chrysopedia/backend/\" 2>/dev/null | head -20"}},{"type":"toolCall","id":"toolu_016LfPYKT2aeajsgtRPHrPEe","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/backend/requirements.txt\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":193,"cacheRead":67814,"cacheWrite":650,"totalTokens":68658,"cost":{"input":0.000005,"output":0.004825,"cacheRead":0.033907,"cacheWrite":0.0040625,"total":0.042799500000000004}},"stopReason":"toolUse","timestamp":1774897991270}}
{"type":"message","id":"d34e04a9","parentId":"5fe824a2","timestamp":"2026-03-30T19:13:16.433Z","message":{"role":"toolResult","toolCallId":"toolu_01TAxkDTzGPpwDvdnBFErnB7","toolName":"bash","content":[{"type":"text","text":"config.py\ndatabase.py\nmain.py\nmodels.py\npipeline\n__pycache__\npytest.ini\nredis_client.py\nrequirements.txt\nrouters\nschemas.py\nsearch_service.py\ntests\nworker.py\n"}],"isError":false,"timestamp":1774897996433}}
{"type":"message","id":"562a7d99","parentId":"d34e04a9","timestamp":"2026-03-30T19:13:16.436Z","message":{"role":"toolResult","toolCallId":"toolu_016LfPYKT2aeajsgtRPHrPEe","toolName":"bash","content":[{"type":"text","text":"fastapi>=0.115.0,<1.0\nuvicorn[standard]>=0.32.0,<1.0\nsqlalchemy[asyncio]>=2.0,<3.0\nasyncpg>=0.30.0,<1.0\nalembic>=1.14.0,<2.0\npydantic>=2.0,<3.0\npydantic-settings>=2.0,<3.0\ncelery[redis]>=5.4.0,<6.0\nredis>=5.0,<6.0\npython-dotenv>=1.0,<2.0\npython-multipart>=0.0.9,<1.0\nhttpx>=0.27.0,<1.0\nopenai>=1.0,<2.0\nqdrant-client>=1.9,<2.0\npyyaml>=6.0,<7.0\npsycopg2-binary>=2.9,<3.0\n# Test dependencies\npytest>=8.0,<10.0\npytest-asyncio>=0.24,<1.0\n"}],"isError":false,"timestamp":1774897996433}}
{"type":"message","id":"9da7ac88","parentId":"562a7d99","timestamp":"2026-03-30T19:13:20.595Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_014R7bvFHzf5nCroS1Xrqsnj","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/backend/config.py\" 2>/dev/null"}},{"type":"toolCall","id":"toolu_01BzdsK6zSRPQYmAxwRCSVLG","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"rg 'def ingest|@router.post.*ingest' /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":207,"cacheRead":68464,"cacheWrite":576,"totalTokens":69248,"cost":{"input":0.000005,"output":0.005175,"cacheRead":0.034232,"cacheWrite":0.0036000000000000003,"total":0.043011999999999995}},"stopReason":"toolUse","timestamp":1774897996434}}
{"type":"message","id":"d58cebc3","parentId":"9da7ac88","timestamp":"2026-03-30T19:13:20.917Z","message":{"role":"toolResult","toolCallId":"toolu_014R7bvFHzf5nCroS1Xrqsnj","toolName":"bash","content":[{"type":"text","text":"\"\"\"Application configuration loaded from environment variables.\"\"\"\n\nfrom functools import lru_cache\n\nfrom pydantic_settings import BaseSettings\n\n\nclass Settings(BaseSettings):\n    \"\"\"Chrysopedia API settings.\n\n    Values are loaded from environment variables (or .env file via\n    pydantic-settings' dotenv support).\n    \"\"\"\n\n    # Database\n    database_url: str = \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia\"\n\n    # Redis\n    redis_url: str = \"redis://localhost:6379/0\"\n\n    # Application\n    app_env: str = \"development\"\n    app_log_level: str = \"info\"\n    app_secret_key: str = \"changeme-generate-a-real-secret\"\n\n    # CORS\n    cors_origins: list[str] = [\"*\"]\n\n    # LLM endpoint (OpenAI-compatible)\n    llm_api_url: str = \"http://localhost:11434/v1\"\n    llm_api_key: str = \"sk-placeholder\"\n    llm_model: str = \"fyn-llm-agent-chat\"\n    llm_fallback_url: str = \"http://localhost:11434/v1\"\n    llm_fallback_model: str = \"fyn-llm-agent-chat\"\n\n    # Per-stage model overrides (optional — falls back to llm_model / \"chat\")\n    llm_stage2_model: str | None = \"fyn-llm-agent-chat\"   # segmentation — mechanical, fast chat\n    llm_stage2_modality: str = \"chat\"\n    llm_stage3_model: str | None = \"fyn-llm-agent-think\"  # extraction — reasoning\n    llm_stage3_modality: str = \"thinking\"\n    llm_stage4_model: str | None = \"fyn-llm-agent-chat\"   # classification — mechanical, fast chat\n    llm_stage4_modality: str = \"chat\"\n    llm_stage5_model: str | None = \"fyn-llm-agent-think\"  # synthesis — reasoning\n    llm_stage5_modality: str = \"thinking\"\n\n    # Dynamic token estimation — each stage calculates max_tokens from input size\n    llm_max_tokens_hard_limit: int = 32768   # Hard ceiling for dynamic estimator\n    llm_max_tokens: int = 65536              # Fallback when no estimate is provided\n\n    # Embedding endpoint\n    embedding_api_url: str = \"http://localhost:11434/v1\"\n    embedding_model: str = \"nomic-embed-text\"\n    embedding_dimensions: int = 768\n\n    # Qdrant\n    qdrant_url: str = \"http://localhost:6333\"\n    qdrant_collection: str = \"chrysopedia\"\n\n    # Prompt templates\n    prompts_path: str = \"./prompts\"\n\n    # Review mode — when True, extracted moments go to review queue before publishing\n    review_mode: bool = True\n\n    # Debug mode — when True, pipeline captures full LLM prompts and responses\n    debug_mode: bool = False\n\n    # File storage\n    transcript_storage_path: str = \"/data/transcripts\"\n    video_metadata_path: str = \"/data/video_meta\"\n\n    # Git commit SHA (set at Docker build time or via env var)\n    git_commit_sha: str = \"unknown\"\n\n    model_config = {\n        \"env_file\": \".env\",\n        \"env_file_encoding\": \"utf-8\",\n        \"case_sensitive\": False,\n    }\n\n\n@lru_cache\ndef get_settings() -> Settings:\n    \"\"\"Return cached application settings (singleton).\"\"\"\n    return Settings()\n"}],"isError":false,"timestamp":1774898000916}}
{"type":"message","id":"040e8b33","parentId":"d58cebc3","timestamp":"2026-03-30T19:13:20.920Z","message":{"role":"toolResult","toolCallId":"toolu_01BzdsK6zSRPQYmAxwRCSVLG","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 127"}],"details":{},"isError":true,"timestamp":1774898000916}}
{"type":"message","id":"f8d8fdb8","parentId":"040e8b33","timestamp":"2026-03-30T19:13:25.261Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Gh5jFhAQYaqXcnSHFLAXVz","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"grep -rn 'ingest\\|def ingest' /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/\" 2>/dev/null | head -20"}},{"type":"toolCall","id":"toolu_014uJXpTcicY2GbSx61NnMGo","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"ls /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":208,"cacheRead":69040,"cacheWrite":1186,"totalTokens":70435,"cost":{"input":0.000005,"output":0.005200000000000001,"cacheRead":0.034519999999999995,"cacheWrite":0.007412500000000001,"total":0.0471375}},"stopReason":"toolUse","timestamp":1774898000918}}
{"type":"message","id":"71091f2a","parentId":"f8d8fdb8","timestamp":"2026-03-30T19:13:25.566Z","message":{"role":"toolResult","toolCallId":"toolu_01Gh5jFhAQYaqXcnSHFLAXVz","toolName":"bash","content":[{"type":"text","text":"/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:1:\"\"\"Transcript ingestion endpoint for the Chrysopedia API.\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:24:logger = logging.getLogger(\"chrysopedia.ingest\")\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:26:router = APIRouter(prefix=\"/ingest\", tags=[\"ingest\"])\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:46:    produce identical hashes even if ingested with different filenames.\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:55:async def ingest_transcript(\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:246:        logger.error(\"Database commit failed during ingest: %s\", exc)\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:248:            status_code=500, detail=\"Database error during ingest\"\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py:262:            \"Pipeline dispatch failed for video_id=%s (ingest still succeeds): %s\",\n"}],"isError":false,"timestamp":1774898005566}}
{"type":"message","id":"bb918806","parentId":"71091f2a","timestamp":"2026-03-30T19:13:25.590Z","message":{"role":"toolResult","toolCallId":"toolu_014uJXpTcicY2GbSx61NnMGo","toolName":"bash","content":[{"type":"text","text":"creators.py\nhealth.py\ningest.py\n__init__.py\npipeline.py\nreports.py\nreview.py\nsearch.py\ntechniques.py\ntopics.py\nvideos.py\n"}],"isError":false,"timestamp":1774898005588}}
{"type":"message","id":"163b7af9","parentId":"bb918806","timestamp":"2026-03-30T19:13:28.373Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01WvdZgENHng4wKowf6X4nLE","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker-compose.yml\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":105,"cacheRead":70226,"cacheWrite":680,"totalTokens":71012,"cost":{"input":0.000005,"output":0.002625,"cacheRead":0.035113,"cacheWrite":0.00425,"total":0.041993}},"stopReason":"toolUse","timestamp":1774898005588}}
{"type":"message","id":"36e25d65","parentId":"163b7af9","timestamp":"2026-03-30T19:13:28.685Z","message":{"role":"toolResult","toolCallId":"toolu_01WvdZgENHng4wKowf6X4nLE","toolName":"bash","content":[{"type":"text","text":"# Chrysopedia — Docker Compose\n# XPLTD convention: xpltd_chrysopedia project, bind mounts, dedicated bridge\n# Deployed to: /vmPool/r/compose/xpltd_chrysopedia/ (symlinked)\nname: xpltd_chrysopedia\n\nservices:\n  # ── PostgreSQL 16 ──\n  chrysopedia-db:\n    image: postgres:16-alpine\n    container_name: chrysopedia-db\n    restart: unless-stopped\n    environment:\n      POSTGRES_USER: ${POSTGRES_USER:-chrysopedia}\n      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-changeme}\n      POSTGRES_DB: ${POSTGRES_DB:-chrysopedia}\n    volumes:\n      - /vmPool/r/services/chrysopedia_db:/var/lib/postgresql/data\n    ports:\n      - \"127.0.0.1:5433:5432\"\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"pg_isready -U ${POSTGRES_USER:-chrysopedia}\"]\n      interval: 10s\n      timeout: 5s\n      retries: 5\n    stop_grace_period: 30s\n\n  # ── Redis (Celery broker + runtime config) ──\n  chrysopedia-redis:\n    image: redis:7-alpine\n    container_name: chrysopedia-redis\n    restart: unless-stopped\n    command: redis-server --save 60 1 --loglevel warning\n    volumes:\n      - /vmPool/r/services/chrysopedia_redis:/data\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD\", \"redis-cli\", \"ping\"]\n      interval: 10s\n      timeout: 5s\n      retries: 5\n    stop_grace_period: 15s\n\n  # ── Qdrant vector database ──\n  chrysopedia-qdrant:\n    image: qdrant/qdrant:v1.13.2\n    container_name: chrysopedia-qdrant\n    restart: unless-stopped\n    volumes:\n      - /vmPool/r/services/chrysopedia_qdrant:/qdrant/storage\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"bash -c 'echo > /dev/tcp/localhost/6333'\"]\n      interval: 15s\n      timeout: 5s\n      retries: 5\n      start_period: 10s\n    stop_grace_period: 30s\n\n  # ── Ollama (embedding model server) ──\n  chrysopedia-ollama:\n    image: ollama/ollama:latest\n    container_name: chrysopedia-ollama\n    restart: unless-stopped\n    volumes:\n      - /vmPool/r/services/chrysopedia_ollama:/root/.ollama\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD\", \"ollama\", \"list\"]\n      interval: 15s\n      timeout: 5s\n      retries: 5\n      start_period: 30s\n    stop_grace_period: 15s\n\n  # ── FastAPI application ──\n  chrysopedia-api:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.api\n    container_name: chrysopedia-api\n    restart: unless-stopped\n    env_file:\n      - path: .env\n        required: false\n    environment:\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    volumes:\n      - /vmPool/r/services/chrysopedia_data:/data\n      - ./config:/config:ro\n    depends_on:\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 15s\n\n  # ── Celery worker (pipeline stages 2-6) ──\n  chrysopedia-worker:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.api\n    container_name: chrysopedia-worker\n    restart: unless-stopped\n    env_file:\n      - path: .env\n        required: false\n    environment:\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    command: [\"celery\", \"-A\", \"worker\", \"worker\", \"--loglevel=info\", \"--concurrency=1\"]\n    healthcheck:\n      test: [\"CMD-SHELL\", \"celery -A worker inspect ping --timeout=5 2>/dev/null | grep -q pong || exit 1\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 30s\n    volumes:\n      - /vmPool/r/services/chrysopedia_data:/data\n      - ./prompts:/prompts:ro\n      - ./config:/config:ro\n    depends_on:\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 30s\n\n  # ── React web UI (nginx) ──\n  chrysopedia-web:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.web\n      args:\n        VITE_GIT_COMMIT: ${GIT_COMMIT_SHA:-dev}\n    container_name: chrysopedia-web-8096\n    restart: unless-stopped\n    ports:\n      - \"0.0.0.0:8096:80\"\n    depends_on:\n      - chrysopedia-api\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"curl -sf http://127.0.0.1:80/ || exit 1\"]\n      interval: 30s\n      timeout: 5s\n      retries: 3\n      start_period: 10s\n    stop_grace_period: 15s\n\nnetworks:\n  chrysopedia:\n    driver: bridge\n    ipam:\n      config:\n        - subnet: \"172.32.0.0/24\"\n"}],"isError":false,"timestamp":1774898008683}}
{"type":"message","id":"e7669a3c","parentId":"36e25d65","timestamp":"2026-03-30T19:13:32.665Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01HmQRHw8w4zCrtPXABfQcQq","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker/Dockerfile.api\" 2>/dev/null"}},{"type":"toolCall","id":"toolu_0142q8iigJ3u7WQzf7xiSWvT","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ssh ub01 \"head -60 /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":201,"cacheRead":70906,"cacheWrite":1917,"totalTokens":73025,"cost":{"input":0.000005,"output":0.005025,"cacheRead":0.035453,"cacheWrite":0.01198125,"total":0.05246425}},"stopReason":"toolUse","timestamp":1774898008684}}
{"type":"message","id":"a493fdfb","parentId":"e7669a3c","timestamp":"2026-03-30T19:13:32.989Z","message":{"role":"toolResult","toolCallId":"toolu_01HmQRHw8w4zCrtPXABfQcQq","toolName":"bash","content":[{"type":"text","text":"FROM python:3.12-slim\n\nWORKDIR /app\n\n# System deps\nRUN apt-get update && apt-get install -y --no-install-recommends \\\n    gcc libpq-dev curl \\\n    && rm -rf /var/lib/apt/lists/*\n\n# Python deps (cached layer)\nCOPY backend/requirements.txt /app/requirements.txt\nRUN pip install --no-cache-dir -r requirements.txt\n\n# Git commit SHA for version tracking\nARG GIT_COMMIT_SHA=unknown\n\n# Application code\nCOPY backend/ /app/\nRUN echo \"${GIT_COMMIT_SHA}\" > /app/.git-commit\nCOPY prompts/ /prompts/\nCOPY config/ /config/\nCOPY alembic.ini /app/alembic.ini\nCOPY alembic/ /app/alembic/\n\nEXPOSE 8000\n\nHEALTHCHECK --interval=15s --timeout=5s --retries=3 --start-period=10s \\\n    CMD curl -f http://localhost:8000/health || exit 1\n\nCMD [\"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]\n"}],"isError":false,"timestamp":1774898012989}}
{"type":"message","id":"16adaf50","parentId":"a493fdfb","timestamp":"2026-03-30T19:13:32.991Z","message":{"role":"toolResult","toolCallId":"toolu_0142q8iigJ3u7WQzf7xiSWvT","toolName":"bash","content":[{"type":"text","text":"\"\"\"Transcript ingestion endpoint for the Chrysopedia API.\n\nAccepts a Whisper-format transcript JSON via multipart file upload, finds or\ncreates a Creator, upserts a SourceVideo, bulk-inserts TranscriptSegments,\npersists the raw JSON to disk, and returns a structured response.\n\"\"\"\n\nimport hashlib\nimport json\nimport logging\nimport os\nimport re\nimport uuid\n\nfrom fastapi import APIRouter, Depends, HTTPException, UploadFile\nfrom sqlalchemy import delete, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\nfrom config import get_settings\nfrom database import get_session\nfrom models import ContentType, Creator, ProcessingStatus, SourceVideo, TranscriptSegment\nfrom schemas import TranscriptIngestResponse\n\nlogger = logging.getLogger(\"chrysopedia.ingest\")\n\nrouter = APIRouter(prefix=\"/ingest\", tags=[\"ingest\"])\n\nREQUIRED_KEYS = {\"source_file\", \"creator_folder\", \"duration_seconds\", \"segments\"}\n\n\ndef slugify(value: str) -> str:\n    \"\"\"Lowercase, replace non-alphanumeric chars with hyphens, collapse/strip.\"\"\"\n    value = value.lower()\n    value = re.sub(r\"[^a-z0-9]+\", \"-\", value)\n    value = value.strip(\"-\")\n    value = re.sub(r\"-{2,}\", \"-\", value)\n    return value\n\n\n\ndef compute_content_hash(segments: list[dict]) -> str:\n    \"\"\"Compute a stable SHA-256 hash from transcript segment text.\n\n    Hashes only the segment text content in order, ignoring metadata like\n    filenames, timestamps, or dates. Two transcripts of the same audio will\n    produce identical hashes even if ingested with different filenames.\n    \"\"\"\n    h = hashlib.sha256()\n    for seg in segments:\n        h.update(str(seg.get(\"text\", \"\")).encode(\"utf-8\"))\n    return h.hexdigest()\n\n\n@router.post(\"\", response_model=TranscriptIngestResponse)\nasync def ingest_transcript(\n    file: UploadFile,\n    db: AsyncSession = Depends(get_session),\n) -> TranscriptIngestResponse:\n    \"\"\"Ingest a Whisper transcript JSON file.\n\n"}],"isError":false,"timestamp":1774898012990}}
{"type":"message","id":"faa71702","parentId":"16adaf50","timestamp":"2026-03-30T19:13:37.563Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. I have a solid picture now. Let me read the templates."},{"type":"toolCall","id":"toolu_01HqqwafA5sosVSWrDvaMmma","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_01L29FCsxcszWpH7Wjs6KDPG","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":135,"cacheRead":72823,"cacheWrite":1089,"totalTokens":74048,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.0364115,"cacheWrite":0.006806250000000001,"total":0.04659775}},"stopReason":"toolUse","timestamp":1774898012991}}
{"type":"message","id":"e72d7a0d","parentId":"faa71702","timestamp":"2026-03-30T19:13:37.567Z","message":{"role":"toolResult","toolCallId":"toolu_01HqqwafA5sosVSWrDvaMmma","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":1774898017566}}
{"type":"message","id":"c375c8a0","parentId":"e72d7a0d","timestamp":"2026-03-30T19:13:37.571Z","message":{"role":"toolResult","toolCallId":"toolu_01L29FCsxcszWpH7Wjs6KDPG","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":1774898017568}}
{"type":"message","id":"258aeaa0","parentId":"c375c8a0","timestamp":"2026-03-30T19:14:58.078Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture. Let me plan this slice.\n\nThe research doc already identified two natural task seams:\n1. T01: Create watcher.py — the core script\n2. T02: Docker integration — compose service, verify end-to-end\n\nThis is a reasonable split. T01 is the bulk of the code (watcher script with watchdog, file stability, JSON validation, httpx POST, processed/failed management, structured logging). T02 is Docker integration (compose service, requirements update, Dockerfile reuse, host folder creation, end-to-end verification).\n\nNo requirements are explicitly owned by this slice in the roadmap. \n\nThis is a new operational capability that doesn't tie back to any existing requirement.","thinkingSignature":"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"},{"type":"text","text":"Good. I have everything I need. The research doc is thorough and the code confirms: the ingest endpoint is mature, httpx is already a dependency, and the Docker Compose stack is standard. No existing requirements are directly owned by S03 — this is new operational automation that doesn't touch any Active requirement.\n\nTwo tasks is the right split: T01 creates the watcher script (the real work), T02 wires Docker integration and verifies end-to-end on ub01. The watcher is a standalone Python script with no coupling to the existing backend modules — it just POSTs to the API like any external client."},{"type":"toolCall","id":"toolu_01JXtqJHdVtEX3DnPP6kRWkf","name":"gsd_plan_slice","arguments":{"goal":"A folder-watching service monitors a directory for new transcript JSON files, validates them, and POSTs them to the /api/v1/ingest endpoint, replacing manual curl/upload for getting transcripts into the pipeline.","integrationClosure":"Watcher POSTs to existing /api/v1/ingest endpoint over Docker network. No changes to API code. New compose service + bind mount.","milestoneId":"M007","observabilityImpact":"Structured logging (watcher.* logger), processed/failed file management with .error sidecars, pgrep-based healthcheck","proofLevel":"operational — real Docker deployment on ub01 with file-drop verification","sliceId":"S03","successCriteria":"## Must-Haves\n\n- Watcher script detects new `.json` files in the watch folder (recursively) and POSTs them to `/api/v1/ingest`\n- File stability check prevents picking up partially-written files (size-stable for 2s)\n- Pre-flight JSON validation (required keys: `source_file`, `creator_folder`, `duration_seconds`, `segments`)\n- Successfully POSTed files move to `processed/` subfolder; failed files move to `failed/` with `.error` sidecar\n- Structured logging with file paths, API response status, and error details\n- Docker Compose service (`chrysopedia-watcher`) with watch folder bind mount, depends on API health\n- `watchdog` added to requirements.txt\n- End-to-end verified: drop transcript JSON on ub01 → watcher detects → POSTs to API → video appears in DB\n\n## Threat Surface\n\n- **Abuse**: Watcher processes any `.json` file in the watch folder. Bind mount restricts access to the host folder. No network-facing attack surface — watcher is an internal service.\n- **Data exposure**: Transcript content is sent over the Docker internal network to the API. No secrets in the watcher config beyond the API URL.\n- **Input trust**: Files on disk are semi-trusted (placed by admin/SCP from hal0022). JSON validation catches malformed files. The ingest endpoint has its own validation layer.\n\n## Proof Level\n\n- This slice proves: operational\n- Real runtime required: yes (Docker Compose on ub01)\n- Human/UAT required: no (drop-file test is scriptable)\n\n## Verification\n\n- `ssh ub01 \"docker exec chrysopedia-watcher pgrep -f watcher.py\"` returns PID (watcher is running)\n- Drop a valid transcript JSON into `/vmPool/r/services/chrysopedia_watch/` on ub01 → watcher logs show pickup and 200 response → file moves to `processed/`\n- Drop an invalid JSON (missing required keys) → file moves to `failed/` with `.error` sidecar containing the error message\n- `python -m py_compile backend/watcher.py` succeeds (no syntax errors)\n\n## Observability / Diagnostics\n\n- Runtime signals: structured log lines with `watcher.` logger — `watcher.pickup`, `watcher.post_success`, `watcher.post_failed`, `watcher.validation_error`, `watcher.stability_wait`\n- Inspection surfaces: `docker logs chrysopedia-watcher`, `ls /vmPool/r/services/chrysopedia_watch/processed/`, `ls /vmPool/r/services/chrysopedia_watch/failed/`\n- Failure visibility: `.error` sidecar files contain HTTP status code, response body, or exception traceback. Failed files preserved in `failed/` for manual inspection.\n- Redaction constraints: none — transcript content is not sensitive\n\n## Integration Closure\n\n- Upstream surfaces consumed: `POST /api/v1/ingest` (multipart file upload), existing Docker network `chrysopedia`\n- New wiring introduced: `chrysopedia-watcher` service in docker-compose.yml, `/vmPool/r/services/chrysopedia_watch` bind mount\n- What remains before the milestone is truly usable end-to-end: nothing for this slice — watcher is self-contained","tasks":[{"description":"Create the core watcher script that monitors a folder for new transcript JSON files and POSTs them to the ingest API.\n\n**Slice:** S03 — Transcript Folder Watcher — Auto-Ingest Service\n**Milestone:** M007\n\n## Description\n\nBuild `backend/watcher.py` — a standalone Python script using the `watchdog` library to monitor a configurable folder for new `.json` files. When a file is detected:\n1. Wait for file stability (size unchanged for 2 seconds) to handle SCP/rsync partial writes\n2. Read and validate JSON structure (must contain `source_file`, `creator_folder`, `duration_seconds`, `segments`)\n3. POST the file as multipart upload to the ingest API endpoint using httpx\n4. Move successfully processed files to `processed/` subfolder\n5. Move failed files to `failed/` subfolder with a `.error` sidecar file containing the error details\n\nThe script uses `PollingObserver` (not inotify Observer) for reliability on ZFS/network-mounted filesystems. It watches recursively.\n\nAdd `watchdog` to `backend/requirements.txt`.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| Ingest API | Move file to `failed/` with HTTP status + body in `.error` sidecar | httpx timeout (30s default) → same as error | Log warning, move to `failed/` |\n| Filesystem | Log exception, skip file (watchdog continues) | N/A | N/A |\n\n## Negative Tests\n\n- **Malformed inputs**: Invalid JSON (parse error) → `failed/` with error sidecar. Missing required keys → `failed/` with validation error. Non-JSON files → ignored (only `.json` suffix triggers processing). Empty file → `failed/`.\n- **Error paths**: API returns 4xx/5xx → `failed/` with response body. API unreachable → `failed/` with connection error. File deleted between detection and read → log warning, skip.\n- **Boundary conditions**: File still being written (size changing) → wait until stable. Same filename in `processed/` already exists → overwrite (idempotent).\n\n## Steps\n\n1. Add `watchdog>=4.0,<5.0` to `backend/requirements.txt`\n2. Create `backend/watcher.py` with:\n   - Configuration from environment variables: `WATCH_FOLDER` (default `/watch`), `WATCHER_API_URL` (default `http://chrysopedia-api:8000/api/v1/ingest`), `WATCHER_STABILITY_SECONDS` (default `2`), `WATCHER_POLL_INTERVAL` (default `5`)\n   - `TranscriptHandler(FileSystemEventHandler)` class that handles `on_created` events for `.json` files\n   - `wait_for_stability(path, seconds)` function — polls file size every 0.5s, returns True when size is unchanged for `seconds` duration, returns False if file disappears\n   - `validate_transcript(data)` function — checks for required keys (`source_file`, `creator_folder`, `duration_seconds`, `segments`)\n   - `post_to_ingest(filepath)` function — reads file, validates JSON, POSTs as multipart upload via httpx, returns (success, detail)\n   - `move_to_processed(filepath)` / `move_to_failed(filepath, error)` functions — create subdirs as needed, move file, write `.error` sidecar for failures\n   - Main block: create `processed/` and `failed/` subdirs, start `PollingObserver` with recursive=True, run until KeyboardInterrupt\n   - Structured logging with `logging.basicConfig` at INFO level, logger name `watcher`\n3. Verify `python -m py_compile backend/watcher.py` passes\n\n## Must-Haves\n\n- [x] watchdog added to requirements.txt\n- [x] watcher.py handles file stability check\n- [x] watcher.py validates JSON keys before POST\n- [x] watcher.py POSTs via httpx multipart upload\n- [x] Processed files move to processed/ subfolder\n- [x] Failed files move to failed/ with .error sidecar\n- [x] Structured logging with watcher.* logger\n- [x] PollingObserver used (not inotify) for ZFS reliability\n\n## Verification\n\n- `python -m py_compile backend/watcher.py` exits 0\n- `grep -q 'watchdog' backend/requirements.txt` exits 0\n- `grep -q 'PollingObserver' backend/watcher.py` exits 0\n- `grep -q 'processed' backend/watcher.py && grep -q 'failed' backend/watcher.py` exits 0\n\n## Observability Impact\n\n- Signals added: `watcher` logger with structured messages for pickup, stability wait, validation, POST result, and file moves\n- How a future agent inspects this: `docker logs chrysopedia-watcher` shows all watcher activity\n- Failure state exposed: `.error` sidecar files in `failed/` directory with HTTP status, response body, or exception traceback","estimate":"45m","expectedOutput":["backend/watcher.py","backend/requirements.txt"],"files":["backend/watcher.py","backend/requirements.txt"],"inputs":["backend/requirements.txt"],"taskId":"T01","title":"Create watcher.py — watchdog observer with file stability, validation, and POST logic","verify":"python -m py_compile backend/watcher.py && grep -q 'watchdog' backend/requirements.txt && grep -q 'PollingObserver' backend/watcher.py"},{"description":"Add the chrysopedia-watcher service to docker-compose.yml, create the watch folder on ub01, build and deploy, and verify end-to-end file-drop ingestion.\n\n**Slice:** S03 — Transcript Folder Watcher — Auto-Ingest Service\n**Milestone:** M007\n\n## Description\n\nWire the watcher script into the Docker Compose stack as a new service. The watcher reuses the existing `Dockerfile.api` image (same Python + deps) but runs `python watcher.py` instead of uvicorn. The watch folder on ub01 is `/vmPool/r/services/chrysopedia_watch/` bind-mounted to `/watch` in the container.\n\nThis task deploys to ub01 and verifies end-to-end: drop a transcript JSON → watcher picks it up → POSTs to API → video record created.\n\n**Important context for executor:** The canonical codebase lives on ub01 at `/vmPool/r/repos/xpltdco/chrysopedia`. You must SSH to ub01 to edit docker-compose.yml, build, and test. The watcher.py from T01 needs to be committed and available in the repo on ub01.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| Docker build | Fix Dockerfile or requirements, rebuild | N/A | N/A |\n| API healthcheck | Watcher waits (depends_on condition: service_healthy) | Start timeout → container restarts | N/A |\n\n## Steps\n\n1. SSH to ub01 and add the `chrysopedia-watcher` service to `docker-compose.yml`:\n   - `build: context: . dockerfile: docker/Dockerfile.api` (reuse existing image)\n   - `container_name: chrysopedia-watcher`\n   - `restart: unless-stopped`\n   - `command: [\"python\", \"watcher.py\"]`\n   - `environment: WATCHER_API_URL: http://chrysopedia-api:8000/api/v1/ingest, WATCH_FOLDER: /watch`\n   - `volumes: /vmPool/r/services/chrysopedia_watch:/watch`\n   - `depends_on: chrysopedia-api: condition: service_healthy`\n   - `networks: chrysopedia`\n   - `healthcheck: test: [\"CMD-SHELL\", \"pgrep -f watcher.py || exit 1\"] interval: 30s timeout: 5s retries: 3`\n2. Create the watch folder on ub01: `mkdir -p /vmPool/r/services/chrysopedia_watch`\n3. Ensure T01's `backend/watcher.py` and updated `backend/requirements.txt` are committed and pushed to the repo on ub01 (git pull if needed)\n4. Build and deploy: `cd /vmPool/r/repos/xpltdco/chrysopedia && docker compose build chrysopedia-watcher && docker compose up -d chrysopedia-watcher`\n5. Verify watcher is running: `docker exec chrysopedia-watcher pgrep -f watcher.py`\n6. End-to-end test: Copy a known-good transcript JSON to `/vmPool/r/services/chrysopedia_watch/test_ingest.json` → check watcher logs for pickup and 200 → verify file moved to `processed/`\n7. Error test: Create an invalid JSON file in the watch folder → verify it moves to `failed/` with `.error` sidecar\n\n## Must-Haves\n\n- [x] chrysopedia-watcher service defined in docker-compose.yml\n- [x] Watch folder bind mount configured\n- [x] Watcher container starts and stays healthy\n- [x] End-to-end file-drop ingestion verified\n- [x] Failed file handling verified\n\n## Verification\n\n- `ssh ub01 \"docker ps --filter name=chrysopedia-watcher --format '{{.Status}}'\"` shows healthy/running\n- `ssh ub01 \"docker logs chrysopedia-watcher 2>&1 | tail -5\"` shows watcher startup message\n- `ssh ub01 \"ls /vmPool/r/services/chrysopedia_watch/processed/\"` contains the test file\n- `ssh ub01 \"ls /vmPool/r/services/chrysopedia_watch/failed/\"` contains the invalid test file + `.error` sidecar\n\n## Inputs\n\n- `backend/watcher.py` — watcher script from T01\n- `backend/requirements.txt` — updated with watchdog dependency from T01\n- `docker-compose.yml` — existing compose file to modify\n\n## Expected Output\n\n- `docker-compose.yml` — updated with chrysopedia-watcher service definition","estimate":"30m","expectedOutput":["docker-compose.yml"],"files":["docker-compose.yml"],"inputs":["backend/watcher.py","backend/requirements.txt","docker-compose.yml"],"taskId":"T02","title":"Docker Compose integration and end-to-end verification on ub01","verify":"ssh ub01 \"docker ps --filter name=chrysopedia-watcher --format '{{.Status}}'\" | grep -qi 'healthy\\|up'"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":4288,"cacheRead":73912,"cacheWrite":2743,"totalTokens":80944,"cost":{"input":0.000005,"output":0.1072,"cacheRead":0.036955999999999996,"cacheWrite":0.01714375,"total":0.16130475}},"stopReason":"toolUse","timestamp":1774898017569}}
{"type":"message","id":"620a1a7b","parentId":"258aeaa0","timestamp":"2026-03-30T19:14:58.121Z","message":{"role":"toolResult","toolCallId":"toolu_01JXtqJHdVtEX3DnPP6kRWkf","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S03 (M007)"}],"details":{"operation":"plan_slice","milestoneId":"M007","sliceId":"S03","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/tasks/T02-PLAN.md"]},"isError":false,"timestamp":1774898098120}}
{"type":"message","id":"070c5412","parentId":"620a1a7b","timestamp":"2026-03-30T19:15:07.973Z","message":{"role":"assistant","content":[{"type":"text","text":"Plan persisted. Quick self-audit:\n\n**Completion semantics:** T01 produces the watcher script, T02 deploys it and verifies end-to-end. If both complete as written, the demo (\"Drop a transcript JSON → detected, validated, POSTed, pipeline triggers\") is true at operational proof level. ✓\n\n**Must-have coverage:** Every slice must-have maps to a task — file stability, JSON validation, POST logic, processed/failed management (T01); Docker service, bind mount, e2e test (T02). ✓\n\n**Task completeness:** Both tasks have steps, must-haves, verification commands, concrete input/output file paths. ✓\n\n**Dependency correctness:** T02 depends on T01 outputs (watcher.py, requirements.txt). No backward references. ✓\n\n**Scope sanity:** T01 has 3 steps, 2 files. T02 has 7 steps, 1 file. Well within bounds. ✓\n\n**No structural decisions** to record — the research doc already captured the design choices (PollingObserver, separate watch folder, processed/failed pattern), and they're straightforward implementation details rather than architectural decisions.\n\nSlice S03 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":286,"cacheRead":76655,"cacheWrite":4199,"totalTokens":81141,"cost":{"input":0.000005,"output":0.00715,"cacheRead":0.0383275,"cacheWrite":0.02624375,"total":0.07172625}},"stopReason":"stop","timestamp":1774898098121}}
