{"type":"thinking_level_change","id":"47188835","parentId":null,"timestamp":"2026-03-30T19:24:40.129Z","thinkingLevel":"medium"}
{"type":"model_change","id":"0083f0ea","parentId":"47188835","timestamp":"2026-03-30T19:24:40.131Z","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\n## UNIT: Complete Slice S03 (\"Transcript Folder Watcher — Auto-Ingest Service\") — Milestone M007\n\n## Your Role in the Pipeline\n\nExecutor agents built each task and wrote task summaries. You are the closer — verify the assembled work actually delivers the slice goal, then compress everything into a slice summary. After you finish, a **reassess-roadmap agent** reads your slice summary to decide if the remaining roadmap still makes sense. The slice summary is also the primary record of what this slice achieved — future slice researchers and planners read it as a dependency summary when their work builds on yours.\n\nWrite the summary for those downstream readers. What did this slice actually deliver? What patterns did it establish? What should the next slice know?\n\nAll relevant context has been preloaded below — the slice plan, all task summaries, and the milestone roadmap are inlined. Start working immediately without re-reading these files.\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 Plan\nSource: `.gsd/milestones/M007/slices/S03/S03-PLAN.md`\n\n# S03: Transcript Folder Watcher — Auto-Ingest Service\n\n**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.\n**Demo:** After this: Drop a transcript JSON into the watch folder on ub01 → file is detected, validated, POSTed to /ingest, pipeline triggers automatically\n\n## Tasks\n- [x] **T01: Built backend/watcher.py with PollingObserver-based folder watching, file stability detection, JSON validation, multipart POST to /api/v1/ingest, and processed/failed file disposition with error sidecars** — 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\n  - Estimate: 45m\n  - Files: backend/watcher.py, backend/requirements.txt\n  - Verify: python -m py_compile backend/watcher.py && grep -q 'watchdog' backend/requirements.txt && grep -q 'PollingObserver' backend/watcher.py\n- [x] **T02: Added chrysopedia-watcher service to Docker Compose, deployed and verified end-to-end file-drop auto-ingest on ub01** — 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\n  - Estimate: 30m\n  - Files: docker-compose.yml\n  - Verify: ssh ub01 \"docker ps --filter name=chrysopedia-watcher --format '{{.Status}}'\" | grep -qi 'healthy\\|up'\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 26 sections]\n\n**Match effort to complexity.** A simple slice with 1-2 tasks needs a brief summary and lightweight verification. A complex slice with 5 tasks across multiple subsystems needs thorough verification and a detailed summary. Scale the work below accordingly.\n\nThen:\n1. Use the **Slice Summary** and **UAT** output templates from the inlined context above\n2. If a `GSD Skill Preferences` block is present in system context, use it and the `<available_skills>` catalog in your system prompt to decide which skills to load and follow for this unit, without relaxing required verification or artifact rules.\n3. Run all slice-level verification checks defined in the slice plan. All must pass before marking the slice done. If any fail, fix them first.\n4. If the slice plan includes observability/diagnostic surfaces, confirm they work. Skip this for simple slices that don't have observability sections.\n5. If the slice involved runtime behavior, fill the **Operational Readiness** section (Q8) in the slice summary: health signal, failure signal, recovery procedure, and monitoring gaps. Omit entirely for simple slices with no runtime concerns.\n6. If this slice produced evidence that a requirement changed status (Active → Validated, Active → Deferred, etc.), call `gsd_save_decision` with scope=\"requirement\", decision=\"{requirement-id}\", choice=\"{new-status}\", rationale=\"{evidence}\". Do NOT write `.gsd/REQUIREMENTS.md` directly — the engine renders it from the database.\n7. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-SUMMARY.md` (compress all task summaries).\n8. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-UAT.md` — a concrete UAT script with real test cases derived from the slice plan and task summaries. Include preconditions, numbered steps with expected outcomes, and edge cases. This must NOT be a placeholder or generic template — tailor every test case to what this slice actually built.\n9. Review task summaries for `key_decisions`. Append any significant decisions to `.gsd/DECISIONS.md` if missing.\n10. Review task summaries for patterns, gotchas, or non-obvious lessons learned. If any would save future agents from repeating investigation or hitting the same issues, append them to `.gsd/KNOWLEDGE.md`. Only add entries that are genuinely useful — don't pad with obvious observations.\n11. Call `gsd_complete_slice` with milestone_id, slice_id, the slice summary, and the UAT result. Do NOT manually mark the roadmap checkbox — the tool writes to the DB and renders the ROADMAP.md projection automatically.\n12. Do not run git commands — the system commits your changes and handles any merge after this unit succeeds.\n13. Update `.gsd/PROJECT.md` if it exists — refresh current state if needed.\n\n**You MUST call `gsd_complete_slice` with the slice summary and UAT content before finishing. The tool persists to both DB and disk and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-SUMMARY.md` and `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-UAT.md` automatically.**\n\nWhen done, say: \"Slice S03 complete.\"","display":false,"id":"77d47aa4","parentId":"0083f0ea","timestamp":"2026-03-30T19:24:40.133Z"}
{"type":"message","id":"0ca0913c","parentId":"77d47aa4","timestamp":"2026-03-30T19:24:45.638Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me start by reading the task summaries to understand what was actually delivered, then run verification checks.","thinkingSignature":"Eq8CClkIDBgCKkDtyQ7ty5p1Hy/+Aiq2dixwbPKf1ut5XgN6+//L2Ja831/iFZQQKUBsxaimszznYLz+OhZ3KHAjhNVqCbqgnThhMg9jbGF1ZGUtb3B1cy00LTY4ABIMDp+UbciHtfo+HqdqGgyzWU/qcu57gLuM5t0iMDT1Dq2dvR/uo+3RJI7fya16HsLq2c+AngP8hl6DjyOrOX5GJNP1L1AwlaJzliRTFSqDAXA5ToI4ZHcm7dCcAU/QYWvf4S3Es43/b2QnJLxfMUq9GrryVBztjhtspCj6iAgYRIC7omZjv10PEYq0IibTgNjHnnUNs+Ihac8PgY7Wl2OqV4IuWo9KoHN/1bGno7PQTnsthtASnHBU0AdNbRd0udtcnEhOzSI4kHsWwNdFbSvvGEe+GAE="},{"type":"text","text":"Let me gather the task summaries and verify the delivered work."},{"type":"toolCall","id":"toolu_01Ve3hLRtnMHc8YiPs7V2Fch","name":"read","arguments":{"path":".gsd/milestones/M007/slices/S03/tasks/T01-SUMMARY.md"}},{"type":"toolCall","id":"toolu_017duCjdG6SiP2K5ab53R6yi","name":"read","arguments":{"path":".gsd/milestones/M007/slices/S03/tasks/T02-SUMMARY.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":186,"cacheRead":58112,"cacheWrite":6280,"totalTokens":64581,"cost":{"input":0.000015000000000000002,"output":0.0046500000000000005,"cacheRead":0.029056,"cacheWrite":0.03925,"total":0.07297100000000001}},"stopReason":"toolUse","timestamp":1774898680132}}
{"type":"message","id":"0dcb4b78","parentId":"0ca0913c","timestamp":"2026-03-30T19:24:45.642Z","message":{"role":"toolResult","toolCallId":"toolu_01Ve3hLRtnMHc8YiPs7V2Fch","toolName":"read","content":[{"type":"text","text":"---\nid: T01\nparent: S03\nmilestone: M007\nprovides: []\nrequires: []\naffects: []\nkey_files: [\"backend/watcher.py\", \"backend/requirements.txt\"]\nkey_decisions: [\"Used httpx sync client since watcher runs in synchronous watchdog callback threads\", \"Capped error sidecar response body at 500 chars\", \"Ignore files in processed/ and failed/ subdirs to prevent re-processing loops\"]\npatterns_established: []\ndrill_down_paths: []\nobservability_surfaces: []\nduration: \"\"\nverification_result: \"All four slice-level verification checks pass: py_compile exits 0, watchdog present in requirements.txt, PollingObserver present in watcher.py, processed and failed strings present in watcher.py.\"\ncompleted_at: 2026-03-30T19:17:44.067Z\nblocker_discovered: false\n---\n\n# T01: Built backend/watcher.py with PollingObserver-based folder watching, file stability detection, JSON validation, multipart POST to /api/v1/ingest, and processed/failed file disposition with error sidecars\n\n> Built backend/watcher.py with PollingObserver-based folder watching, file stability detection, JSON validation, multipart POST to /api/v1/ingest, and processed/failed file disposition with error sidecars\n\n## What Happened\n---\nid: T01\nparent: S03\nmilestone: M007\nkey_files:\n  - backend/watcher.py\n  - backend/requirements.txt\nkey_decisions:\n  - Used httpx sync client since watcher runs in synchronous watchdog callback threads\n  - Capped error sidecar response body at 500 chars\n  - Ignore files in processed/ and failed/ subdirs to prevent re-processing loops\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T19:17:44.068Z\nblocker_discovered: false\n---\n\n# T01: Built backend/watcher.py with PollingObserver-based folder watching, file stability detection, JSON validation, multipart POST to /api/v1/ingest, and processed/failed file disposition with error sidecars\n\n**Built backend/watcher.py with PollingObserver-based folder watching, file stability detection, JSON validation, multipart POST to /api/v1/ingest, and processed/failed file disposition with error sidecars**\n\n## What Happened\n\nCreated backend/watcher.py as a standalone Python script using watchdog's PollingObserver for ZFS/NFS reliability. Monitors WATCH_FOLDER for new .json files, waits for file size stability (SCP/rsync handling), validates JSON structure against required keys, POSTs as multipart upload via httpx to the ingest API. Successfully processed files move to processed/, failures move to failed/ with .error sidecar files. Also created backend/requirements.txt synced from ub01 production with watchdog added.\n\n## Verification\n\nAll four slice-level verification checks pass: py_compile exits 0, watchdog present in requirements.txt, PollingObserver present in watcher.py, processed and failed strings present in watcher.py.\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `python -m py_compile backend/watcher.py` | 0 | ✅ pass | 500ms |\n| 2 | `grep -q 'watchdog' backend/requirements.txt` | 0 | ✅ pass | 50ms |\n| 3 | `grep -q 'PollingObserver' backend/watcher.py` | 0 | ✅ pass | 50ms |\n| 4 | `grep -q 'processed' backend/watcher.py && grep -q 'failed' backend/watcher.py` | 0 | ✅ pass | 50ms |\n\n\n## Deviations\n\nNone.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `backend/watcher.py`\n- `backend/requirements.txt`\n\n\n## Deviations\nNone.\n\n## Known Issues\nNone.\n"}],"isError":false,"timestamp":1774898685642}}
{"type":"message","id":"47149f6b","parentId":"0dcb4b78","timestamp":"2026-03-30T19:24:45.648Z","message":{"role":"toolResult","toolCallId":"toolu_017duCjdG6SiP2K5ab53R6yi","toolName":"read","content":[{"type":"text","text":"---\nid: T02\nparent: S03\nmilestone: M007\nprovides: []\nrequires: []\naffects: []\nkey_files: [\"docker-compose.yml\", \".gsd/milestones/M007/slices/S03/tasks/T02-SUMMARY.md\"]\nkey_decisions: [\"Used python os.kill(1,0) healthcheck instead of pgrep since procps unavailable in slim Python image\", \"SCP'd files to ub01 directly instead of git push to avoid outward-facing GitHub action\"]\npatterns_established: []\ndrill_down_paths: []\nobservability_surfaces: []\nduration: \"\"\nverification_result: \"All slice-level checks pass (py_compile, watchdog grep, PollingObserver grep, processed/failed grep). Container running healthy on ub01. End-to-end valid transcript ingest verified (POST 200, file in processed/). Error path verified (invalid JSON in failed/ with .error sidecar).\"\ncompleted_at: 2026-03-30T19:24:18.070Z\nblocker_discovered: false\n---\n\n# T02: Added chrysopedia-watcher service to Docker Compose, deployed and verified end-to-end file-drop auto-ingest on ub01\n\n> Added chrysopedia-watcher service to Docker Compose, deployed and verified end-to-end file-drop auto-ingest on ub01\n\n## What Happened\n---\nid: T02\nparent: S03\nmilestone: M007\nkey_files:\n  - docker-compose.yml\n  - .gsd/milestones/M007/slices/S03/tasks/T02-SUMMARY.md\nkey_decisions:\n  - Used python os.kill(1,0) healthcheck instead of pgrep since procps unavailable in slim Python image\n  - SCP'd files to ub01 directly instead of git push to avoid outward-facing GitHub action\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T19:24:18.070Z\nblocker_discovered: false\n---\n\n# T02: Added chrysopedia-watcher service to Docker Compose, deployed and verified end-to-end file-drop auto-ingest on ub01\n\n**Added chrysopedia-watcher service to Docker Compose, deployed and verified end-to-end file-drop auto-ingest on ub01**\n\n## What Happened\n\nAdded the chrysopedia-watcher service to docker-compose.yml reusing Dockerfile.api with a python watcher.py command override. Bind-mounts /vmPool/r/services/chrysopedia_watch to /watch, depends on chrysopedia-api healthy. Fixed healthcheck from pgrep (unavailable in slim image) to python-based PID 1 check. Deployed to ub01, verified end-to-end: valid JSON file auto-ingested (HTTP 200, moved to processed/), invalid JSON moved to failed/ with .error sidecar.\n\n## Verification\n\nAll slice-level checks pass (py_compile, watchdog grep, PollingObserver grep, processed/failed grep). Container running healthy on ub01. End-to-end valid transcript ingest verified (POST 200, file in processed/). Error path verified (invalid JSON in failed/ with .error sidecar).\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `python -m py_compile backend/watcher.py` | 0 | ✅ pass | 200ms |\n| 2 | `grep -q 'watchdog' backend/requirements.txt` | 0 | ✅ pass | 50ms |\n| 3 | `grep -q 'PollingObserver' backend/watcher.py` | 0 | ✅ pass | 50ms |\n| 4 | `grep -q 'processed' backend/watcher.py && grep -q 'failed' backend/watcher.py` | 0 | ✅ pass | 50ms |\n| 5 | `ssh ub01 docker ps --filter name=chrysopedia-watcher (healthy)` | 0 | ✅ pass | 1000ms |\n| 6 | `E2E valid JSON → processed/` | 0 | ✅ pass | 15000ms |\n| 7 | `E2E invalid JSON → failed/ + .error sidecar` | 0 | ✅ pass | 15000ms |\n\n\n## Deviations\n\nChanged healthcheck from pgrep -f watcher.py to python -c \"import os; os.kill(1, 0)\" because procps is not available in the slim Python Docker image.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `docker-compose.yml`\n- `.gsd/milestones/M007/slices/S03/tasks/T02-SUMMARY.md`\n\n\n## Deviations\nChanged healthcheck from pgrep -f watcher.py to python -c \"import os; os.kill(1, 0)\" because procps is not available in the slim Python Docker image.\n\n## Known Issues\nNone.\n"}],"isError":false,"timestamp":1774898685646}}
{"type":"message","id":"86c0046e","parentId":"47149f6b","timestamp":"2026-03-30T19:24:54.070Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now let me run the slice-level verification checks.","thinkingSignature":"Eu4BClkIDBgCKkC4oqXkmfU8NuAfth9c4qcGdnSRnNF5PdEra9pu+seIDfHMtAY4Hch0NJDySur3mAH2CLenQloRpgXMBou/aGB7Mg9jbGF1ZGUtb3B1cy00LTY4ABIMi8zHPVErkZOppWRtGgxvq/cmR5/pYBkNQtIiMOdctw5p4/T8/AW8/qK66PeIjE0df5hBlYA8gw/DkU3ZFn/Lj2bbuU2LHzr740KR4ipDaMfaA0K0XCbIO9m0s6VnoUrgkylIztJFWW/srBuPLUhuAKK1iOG2CcEkHcDpeIiYL1St+WmfN0TRubqcRGYl9Atp0hgB"},{"type":"text","text":"Good — both tasks completed with passing verification. Let me run slice-level verification checks locally."},{"type":"toolCall","id":"toolu_01VFB8YC84cYzHezN2LSMvsR","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && python -m py_compile backend/watcher.py && echo \"PASS: py_compile\" || echo \"FAIL: py_compile\"","label":"py_compile"}},{"type":"toolCall","id":"toolu_01GqoeZh4pEfs9s8TQ5S22Pm","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -q 'watchdog' backend/requirements.txt && echo \"PASS: watchdog in requirements\" || echo \"FAIL: watchdog\"","label":"watchdog check"}},{"type":"toolCall","id":"toolu_01RH82LaQcaEUtAiNnSVmHFw","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -q 'PollingObserver' backend/watcher.py && echo \"PASS: PollingObserver\" || echo \"FAIL: PollingObserver\"","label":"PollingObserver check"}},{"type":"toolCall","id":"toolu_01FdECir83zRmH7LfTG3djK8","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -q 'processed' backend/watcher.py && grep -q 'failed' backend/watcher.py && echo \"PASS: processed/failed\" || echo \"FAIL: processed/failed\"","label":"processed/failed check"}},{"type":"toolCall","id":"toolu_01Nb1kkSEHKXg6Sodc69g9ts","name":"async_bash","arguments":{"command":"ssh ub01 \"docker ps --filter name=chrysopedia-watcher --format '{{.Status}}'\" 2>&1","label":"watcher container status"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":589,"cacheRead":64392,"cacheWrite":2446,"totalTokens":67428,"cost":{"input":0.000005,"output":0.014725,"cacheRead":0.032195999999999995,"cacheWrite":0.0152875,"total":0.0622135}},"stopReason":"toolUse","timestamp":1774898685646}}
{"type":"message","id":"080cffd0","parentId":"86c0046e","timestamp":"2026-03-30T19:24:54.085Z","message":{"role":"toolResult","toolCallId":"toolu_01VFB8YC84cYzHezN2LSMvsR","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_d5f1d296**\nCommand: `py_compile`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774898694085}}
{"type":"message","id":"93eef3e2","parentId":"080cffd0","timestamp":"2026-03-30T19:24:54.086Z","message":{"role":"toolResult","toolCallId":"toolu_01GqoeZh4pEfs9s8TQ5S22Pm","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_7d9547a5**\nCommand: `watchdog check`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774898694085}}
{"type":"message","id":"6f9993aa","parentId":"93eef3e2","timestamp":"2026-03-30T19:24:54.086Z","message":{"role":"toolResult","toolCallId":"toolu_01RH82LaQcaEUtAiNnSVmHFw","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_a3b5417c**\nCommand: `PollingObserver check`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774898694086}}
{"type":"message","id":"d5729af9","parentId":"6f9993aa","timestamp":"2026-03-30T19:24:54.087Z","message":{"role":"toolResult","toolCallId":"toolu_01FdECir83zRmH7LfTG3djK8","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_ef49bc34**\nCommand: `processed/failed check`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774898694086}}
{"type":"message","id":"b1239590","parentId":"d5729af9","timestamp":"2026-03-30T19:24:54.089Z","message":{"role":"toolResult","toolCallId":"toolu_01Nb1kkSEHKXg6Sodc69g9ts","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_65c3a98d**\nCommand: `watcher container status`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774898694086}}
{"type":"message","id":"80d7beaa","parentId":"b1239590","timestamp":"2026-03-30T19:24:57.113Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01FRG6aikusRSx2RbJEaXAg1","name":"await_job","arguments":{"jobs":["bg_d5f1d296","bg_7d9547a5","bg_a3b5417c","bg_ef49bc34","bg_65c3a98d"]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":100,"cacheRead":66838,"cacheWrite":919,"totalTokens":67858,"cost":{"input":0.000005,"output":0.0025,"cacheRead":0.033419,"cacheWrite":0.005743750000000001,"total":0.041667749999999996}},"stopReason":"toolUse","timestamp":1774898694087}}
{"type":"message","id":"6448469f","parentId":"80d7beaa","timestamp":"2026-03-30T19:24:57.116Z","message":{"role":"toolResult","toolCallId":"toolu_01FRG6aikusRSx2RbJEaXAg1","toolName":"await_job","content":[{"type":"text","text":"### bg_d5f1d296 — py_compile (completed, 3.0s)\n\nPASS: py_compile\n\n\n---\n\n### bg_7d9547a5 — watchdog check (completed, 3.0s)\n\nPASS: watchdog in requirements\n\n\n---\n\n### bg_a3b5417c — PollingObserver check (completed, 3.0s)\n\nPASS: PollingObserver\n\n\n---\n\n### bg_ef49bc34 — processed/failed check (completed, 3.0s)\n\nPASS: processed/failed\n\n\n---\n\n### bg_65c3a98d — watcher container status (completed, 3.0s)\n\nUp 3 minutes (healthy)\n"}],"isError":false,"timestamp":1774898697114}}
{"type":"message","id":"14252c60","parentId":"6448469f","timestamp":"2026-03-30T19:25:01.782Z","message":{"role":"assistant","content":[{"type":"text","text":"All five checks pass — code compiles, dependencies present, container running healthy on ub01. Let me check existing decisions and knowledge before writing the summary."},{"type":"toolCall","id":"toolu_01MtVm71Y3aYmSPEiVNECRPK","name":"read","arguments":{"limit":30,"path":".gsd/DECISIONS.md"}},{"type":"toolCall","id":"toolu_017Ab3K33bXKszrLdJjskXRy","name":"read","arguments":{"path":".gsd/PROJECT.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":148,"cacheRead":67757,"cacheWrite":281,"totalTokens":68187,"cost":{"input":0.000005,"output":0.0037,"cacheRead":0.0338785,"cacheWrite":0.00175625,"total":0.03933975}},"stopReason":"toolUse","timestamp":1774898697115}}
{"type":"message","id":"9d4c7521","parentId":"14252c60","timestamp":"2026-03-30T19:25:01.786Z","message":{"role":"toolResult","toolCallId":"toolu_01MtVm71Y3aYmSPEiVNECRPK","toolName":"read","content":[{"type":"text","text":"# 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"}],"isError":false,"timestamp":1774898701785}}
{"type":"message","id":"9a50ac5d","parentId":"9d4c7521","timestamp":"2026-03-30T19:25:01.791Z","message":{"role":"toolResult","toolCallId":"toolu_017Ab3K33bXKszrLdJjskXRy","toolName":"read","content":[{"type":"text","text":"# Chrysopedia\n\n**Knowledge base for music production techniques**, extracted from video content via an LLM-powered pipeline. Producers can search for specific techniques and find timestamped key moments, signal chains, and synthesized study guides — all derived from creator videos.\n\n## Current State\n\nFive milestones complete plus a sixth refinement milestone. The system is deployed and running on ub01 at `http://ub01:8096`.\n\n### What's Built\n\n- **Transcription pipeline** — Desktop script: video → ffmpeg audio extraction → Whisper large-v3 → timestamped transcript JSON\n- **6-stage LLM extraction pipeline** — Transcript segmentation → key moment extraction → classification/tagging → technique page synthesis → embedding/indexing. Per-stage model routing (chat vs thinking models). Resumable per-video per-stage.\n- **Article versioning** — Pre-overwrite snapshots with pipeline metadata (prompt SHA-256 hashes, model config) for benchmarking extraction quality across prompt iterations.\n- **Review queue UI** — Admin interface for approving/editing/rejecting extracted key moments.\n- **Search-first web UI** — Dark theme with cyan accents. Semantic search (Qdrant), topic/creator browse pages, technique detail pages with signal chain blocks and video source metadata.\n- **Docker Compose deployment** — API, worker, web, PostgreSQL, Redis, Qdrant, Ollama on ub01 with bind mounts at `/vmPool/r/services/chrysopedia_*`.\n- **Prompt template system** — Editable per-stage prompt files with SHA-256 tracking for reproducibility.\n- **Pipeline admin dashboard** — Admin page at `/admin/pipeline` with video list, status badges, retrigger/revoke controls, expandable event log with token usage, collapsible JSON response viewer, and live worker status indicator. Pipeline events instrumented via `PipelineEvent` model (stage, event_type, token counts, JSONB payload).\n- **Technique page 2-column layout** — Prose content (summary + study guide) on left, sidebar (key moments, signal chains, plugins, related techniques) on right at desktop widths. Sticky sidebar. Collapses to single column at ≤768px.\n- **Key moment card redesign** — Cards in sidebar show title prominently on its own line (h3), with source file, timestamp, and content type badge on a clean metadata row below.\n- **Admin navigation dropdown** — Header consolidated: Home, Topics, Creators visible; Admin dropdown reveals Review, Reports, Pipeline. ModeToggle removed from header.\n- **Pipeline head/tail log view** — Pipeline event log shows Head/Tail toggle with configurable event count. Token counts visible per event and per video.\n- **Pipeline debug mode** — Redis-backed toggle captures full LLM system prompt, user prompt, and response text in pipeline_events. Per-stage token summary endpoint for cost/usage analysis.\n- **Git commit SHA tracking** — Pipeline captures current git commit SHA. Technique page versions display commit hash in metadata.\n- **Technique page tag polish** — Sidebar reordered (Plugins Referenced at top), creator name prominent, tags use coherent color system.\n- **Topics page redesign** — 7 categories (including Music Theory) with card layout, descriptions, sub-topic counts, colored left borders.\n- **App footer** — Every page shows version, build date, commit SHA (linked to GitHub), and repo link. Build-time constants via Vite define with Docker ARG/ENV passthrough.\n\n### Stack\n\n- **Backend:** FastAPI + Celery + SQLAlchemy (async) + PostgreSQL + Redis + Qdrant\n- **Frontend:** React + TypeScript + Vite\n- **LLM:** OpenAI-compatible API (DGX Sparks Qwen primary, local Ollama fallback)\n- **Deployment:** Docker Compose on ub01, nginx reverse proxy on nuc01\n\n### Milestone History\n\n| ID | Title | Status |\n|----|-------|--------|\n| M001 | Chrysopedia Foundation — Infrastructure, Pipeline Core, and Skeleton UI | ✅ Complete |\n| M002 | Deployment — GitHub, ub01 Docker Stack, and Production Wiring | ✅ Complete |\n| M003 | Domain + DNS + Per-Stage LLM Model Routing | ✅ Complete |\n| M004 | UI Polish, Bug Fixes, Technique Page Redesign, and Article Versioning | ✅ Complete |\n| M005 | Pipeline Dashboard, Technique Page Redesign, Key Moment Cards | ✅ Complete |\n| M006 | Admin Nav, Pipeline Log Views, Commit SHA, Tag Polish, Topics Redesign, Footer | ✅ Complete |\n"}],"isError":false,"timestamp":1774898701789}}
{"type":"message","id":"e7219db9","parentId":"9a50ac5d","timestamp":"2026-03-30T19:25:13.350Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now I have everything I need. Let me check if there are any new knowledge items from the task decisions that should be added. Key decisions from tasks:\n\nT01:\n- Used httpx sync client since watcher runs in synchronous watchdog callback threads\n- Capped error sidecar response body at 500 chars\n- Ignore files in processed/ and failed/ subdirs to prevent re-processing loops\n\nT02:\n- Used python os.kill(1,0) healthcheck instead of pgrep since procps unavailable in slim Python image\n- SCP'd files to ub01 directly instead of git push to avoid outward-facing GitHub action\n\n\n- The slim Python image limitation is worth documenting since the existing KNOWLEDGE.md entry on container healthcheck tool availability doesn't specifically mention this constraint.","thinkingSignature":"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"},{"type":"text","text":"All verification passes. The healthcheck lesson from T02 is worth adding to KNOWLEDGE.md — the existing entry about container healthchecks doesn't cover slim Python images specifically."},{"type":"toolCall","id":"toolu_016UJkRBBgw5SaM8ADCQWWMv","name":"read","arguments":{"limit":5,"offset":1,"path":".gsd/KNOWLEDGE.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":362,"cacheRead":68038,"cacheWrite":4062,"totalTokens":72463,"cost":{"input":0.000005,"output":0.00905,"cacheRead":0.034019,"cacheWrite":0.0253875,"total":0.06846150000000001}},"stopReason":"toolUse","timestamp":1774898701790}}
{"type":"message","id":"dc7abd6c","parentId":"e7219db9","timestamp":"2026-03-30T19:25:13.354Z","message":{"role":"toolResult","toolCallId":"toolu_016UJkRBBgw5SaM8ADCQWWMv","toolName":"read","content":[{"type":"text","text":"# KNOWLEDGE\n\n## SQLAlchemy column names that shadow ORM functions\n\n**Context:** If a model has a column named `relationship` (or any other ORM function name like `query`, `metadata`), Python resolves the name to the column's `MappedColumn` descriptor within the class body. This causes `relationship(...)` calls below it to fail with \"MappedColumn object is not callable\".\n\n[154 more lines in file. Use offset=6 to continue.]"}],"isError":false,"timestamp":1774898713352}}
{"type":"message","id":"39ce0cfa","parentId":"dc7abd6c","timestamp":"2026-03-30T19:25:21.749Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me complete the slice. The key decisions from T02 (os.kill healthcheck, SCP deployment) are worth recording."},{"type":"toolCall","id":"toolu_018LHGjcsFn9ZEfoLEhw67t9","name":"edit","arguments":{"newText":"## Healthcheck in slim Python Docker images: use os.kill(1,0) not pgrep\n\n**Context:** The `python:3.x-slim` Docker image doesn't include `procps`, so `pgrep -f watcher.py` fails in healthcheck commands. This applies to any slim-based image where a healthcheck needs to verify the main process is alive.\n\n**Fix:** Use `python -c \"import os; os.kill(1, 0)\"` as the healthcheck command. PID 1 is always the container's entrypoint process. `os.kill(pid, 0)` checks if the process exists without sending a signal — it raises `ProcessLookupError` if the process is dead, causing the healthcheck to fail. No external tools needed.\n\n## SQLAlchemy column names that shadow ORM functions","oldText":"## SQLAlchemy column names that shadow ORM functions","path":".gsd/KNOWLEDGE.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":324,"cacheRead":72100,"cacheWrite":249,"totalTokens":72674,"cost":{"input":0.000005,"output":0.0081,"cacheRead":0.03605,"cacheWrite":0.0015562500000000001,"total":0.04571125}},"stopReason":"toolUse","timestamp":1774898713353}}
{"type":"message","id":"b8f1423b","parentId":"39ce0cfa","timestamp":"2026-03-30T19:25:21.760Z","message":{"role":"toolResult","toolCallId":"toolu_018LHGjcsFn9ZEfoLEhw67t9","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in .gsd/KNOWLEDGE.md."}],"details":{"diff":"   1 # KNOWLEDGE\n   2 \n+  3 ## Healthcheck in slim Python Docker images: use os.kill(1,0) not pgrep\n+  4 \n+  5 **Context:** The `python:3.x-slim` Docker image doesn't include `procps`, so `pgrep -f watcher.py` fails in healthcheck commands. This applies to any slim-based image where a healthcheck needs to verify the main process is alive.\n+  6 \n+  7 **Fix:** Use `python -c \"import os; os.kill(1, 0)\"` as the healthcheck command. PID 1 is always the container's entrypoint process. `os.kill(pid, 0)` checks if the process exists without sending a signal — it raises `ProcessLookupError` if the process is dead, causing the healthcheck to fail. No external tools needed.\n+  8 \n   9 ## SQLAlchemy column names that shadow ORM functions\n  10 \n  11 **Context:** If a model has a column named `relationship` (or any other ORM function name like `query`, `metadata`), Python resolves the name to the column's `MappedColumn` descriptor within the class body. This causes `relationship(...)` calls below it to fail with \"MappedColumn object is not callable\".\n  12 ","firstChangedLine":3},"isError":false,"timestamp":1774898721759}}
{"type":"message","id":"9790f171","parentId":"b8f1423b","timestamp":"2026-03-30T19:25:28.128Z","message":{"role":"assistant","content":[{"type":"text","text":"Now update PROJECT.md to reflect the watcher service."},{"type":"toolCall","id":"toolu_01Y57kgxWFDjzc9QPSbVHFSX","name":"edit","arguments":{"newText":"- **Docker Compose deployment** — API, worker, web, watcher, PostgreSQL, Redis, Qdrant, Ollama on ub01 with bind mounts at `/vmPool/r/services/chrysopedia_*`.\n- **Transcript folder watcher** — Standalone service monitors `/vmPool/r/services/chrysopedia_watch/` for new transcript JSON files, validates structure, POSTs to ingest API. Processed files move to `processed/`, failures to `failed/` with `.error` sidecar. Uses watchdog PollingObserver for ZFS reliability.","oldText":"- **Docker Compose deployment** — API, worker, web, PostgreSQL, Redis, Qdrant, Ollama on ub01 with bind mounts at `/vmPool/r/services/chrysopedia_*`.","path":".gsd/PROJECT.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":290,"cacheRead":72349,"cacheWrite":348,"totalTokens":72988,"cost":{"input":0.000005,"output":0.00725,"cacheRead":0.0361745,"cacheWrite":0.0021750000000000003,"total":0.0456045}},"stopReason":"toolUse","timestamp":1774898721759}}
{"type":"message","id":"e1f2348b","parentId":"9790f171","timestamp":"2026-03-30T19:25:28.264Z","message":{"role":"toolResult","toolCallId":"toolu_01Y57kgxWFDjzc9QPSbVHFSX","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in .gsd/PROJECT.md."}],"details":{"diff":" 12 - **6-stage LLM extraction pipeline** — Transcript segmentation → key moment extraction → classification/tagging → technique page synthesis → embedding/indexing. Per-stage model routing (chat vs thinking models). Resumable per-video per-stage.\n 13 - **Article versioning** — Pre-overwrite snapshots with pipeline metadata (prompt SHA-256 hashes, model config) for benchmarking extraction quality across prompt iterations.\n 14 - **Review queue UI** — Admin interface for approving/editing/rejecting extracted key moments.\n 15 - **Search-first web UI** — Dark theme with cyan accents. Semantic search (Qdrant), topic/creator browse pages, technique detail pages with signal chain blocks and video source metadata.\n-16 - **Docker Compose deployment** — API, worker, web, PostgreSQL, Redis, Qdrant, Ollama on ub01 with bind mounts at `/vmPool/r/services/chrysopedia_*`.\n+16 - **Docker Compose deployment** — API, worker, web, watcher, PostgreSQL, Redis, Qdrant, Ollama on ub01 with bind mounts at `/vmPool/r/services/chrysopedia_*`.\n+17 - **Transcript folder watcher** — Standalone service monitors `/vmPool/r/services/chrysopedia_watch/` for new transcript JSON files, validates structure, POSTs to ingest API. Processed files move to `processed/`, failures to `failed/` with `.error` sidecar. Uses watchdog PollingObserver for ZFS reliability.\n 18 - **Prompt template system** — Editable per-stage prompt files with SHA-256 tracking for reproducibility.\n 19 - **Pipeline admin dashboard** — Admin page at `/admin/pipeline` with video list, status badges, retrigger/revoke controls, expandable event log with token usage, collapsible JSON response viewer, and live worker status indicator. Pipeline events instrumented via `PipelineEvent` model (stage, event_type, token counts, JSONB payload).\n 20 - **Technique page 2-column layout** — Prose content (summary + study guide) on left, sidebar (key moments, signal chains, plugins, related techniques) on right at desktop widths. Sticky sidebar. Collapses to single column at ≤768px.\n 21 - **Key moment card redesign** — Cards in sidebar show title prominently on its own line (h3), with source file, timestamp, and content type badge on a clean metadata row below.","firstChangedLine":16},"isError":false,"timestamp":1774898728261}}
{"type":"message","id":"d0ddf1bc","parentId":"e1f2348b","timestamp":"2026-03-30T19:26:20.060Z","message":{"role":"assistant","content":[{"type":"text","text":"Now complete the slice with the summary and UAT."},{"type":"toolCall","id":"toolu_01NMvoW8VvRznAnvjdRTUyS5","name":"gsd_complete_slice","arguments":{"affects":[],"deviations":"Healthcheck changed from `pgrep -f watcher.py` to `python -c \"import os; os.kill(1, 0)\"` because procps is not available in the slim Python Docker image.","drillDownPaths":[".gsd/milestones/M007/slices/S03/tasks/T01-SUMMARY.md",".gsd/milestones/M007/slices/S03/tasks/T02-SUMMARY.md"],"filesModified":[{"description":"New standalone folder watcher script using watchdog PollingObserver","path":"backend/watcher.py"},{"description":"Added watchdog>=4.0,<5.0 dependency","path":"backend/requirements.txt"},{"description":"Added chrysopedia-watcher service definition","path":"docker-compose.yml"}],"followUps":"None.","keyDecisions":["Used httpx sync client in watcher (runs in synchronous watchdog callback threads)","PollingObserver over inotify Observer for ZFS/NFS reliability","os.kill(1,0) healthcheck instead of pgrep for slim Python images","SCP'd files to ub01 directly instead of git push to avoid outward-facing GitHub action","Ignored files in processed/ and failed/ subdirs to prevent re-processing loops"],"keyFiles":["backend/watcher.py","backend/requirements.txt","docker-compose.yml"],"knownLimitations":"None.","milestoneId":"M007","narrative":"This slice delivered a new Docker service (`chrysopedia-watcher`) that monitors `/vmPool/r/services/chrysopedia_watch/` on ub01 for new transcript JSON files and automatically POSTs them to the ingest API.\n\n**T01** built `backend/watcher.py` — a standalone Python script using watchdog's `PollingObserver` (chosen over inotify for ZFS/NFS reliability). The watcher handles file stability detection (waits for size to stabilize over 2 seconds to handle partial SCP/rsync writes), validates JSON structure against required keys (`source_file`, `creator_folder`, `duration_seconds`, `segments`), POSTs valid files as multipart upload via httpx to `/api/v1/ingest`, and moves files to `processed/` or `failed/` subdirectories. Failed files get an `.error` sidecar with the failure details (HTTP status, response body, or exception traceback). Files inside `processed/` and `failed/` subdirectories are ignored to prevent re-processing loops.\n\n**T02** wired the watcher into the Docker Compose stack as `chrysopedia-watcher`, reusing the existing `Dockerfile.api` image with a command override. The healthcheck was changed from `pgrep` (unavailable in slim Python image) to `python -c \"import os; os.kill(1, 0)\"`. Deployed to ub01 and verified end-to-end: valid transcript JSON auto-ingested (HTTP 200, file moved to `processed/`), invalid JSON moved to `failed/` with `.error` sidecar.","observabilitySurfaces":["docker logs chrysopedia-watcher — shows all watcher activity (pickup, stability wait, validation, POST result, file moves)",".error sidecar files in failed/ directory contain HTTP status, response body, or exception traceback"],"oneLiner":"Built and deployed a watchdog-based folder watcher service that auto-ingests transcript JSON files dropped into a monitored directory on ub01, replacing manual curl/upload for pipeline input.","patternsEstablished":["Standalone watcher service pattern: watchdog PollingObserver + file stability check + validate + POST + disposition (processed/failed with error sidecar)","Reusing Dockerfile.api with command override for lightweight companion services"],"provides":["chrysopedia-watcher Docker service running on ub01","Auto-ingest via file drop to /vmPool/r/services/chrysopedia_watch/","backend/watcher.py standalone script"],"requirementsAdvanced":[{"how":"Transcript ingestion now automated via folder watcher — no manual curl/upload needed","id":"R002"}],"requirementsInvalidated":[],"requirementsSurfaced":[],"requirementsValidated":[],"requires":[],"sliceId":"S03","sliceTitle":"Transcript Folder Watcher — Auto-Ingest Service","uatContent":"## UAT: Transcript Folder Watcher — Auto-Ingest Service\n\n### Preconditions\n- Chrysopedia stack running on ub01 (`docker ps --filter name=chrysopedia` shows all services healthy)\n- Watch folder exists: `/vmPool/r/services/chrysopedia_watch/`\n- Watcher container running: `docker ps --filter name=chrysopedia-watcher` shows healthy\n\n---\n\n### Test 1: Valid Transcript Auto-Ingest (Happy Path)\n\n1. SSH to ub01\n2. Create a valid transcript JSON file:\n   ```bash\n   cat > /vmPool/r/services/chrysopedia_watch/uat_valid.json << 'EOF'\n   {\n     \"source_file\": \"uat_test_video.mp4\",\n     \"creator_folder\": \"UAT Creator\",\n     \"duration_seconds\": 120.5,\n     \"segments\": [{\"start\": 0.0, \"end\": 5.0, \"text\": \"Hello world\"}]\n   }\n   EOF\n   ```\n3. Wait 10 seconds for watcher to detect and process\n4. **Expected:** `docker logs chrysopedia-watcher --tail 20` shows:\n   - File pickup log line mentioning `uat_valid.json`\n   - Stability check pass\n   - POST to ingest API with HTTP 200\n   - File moved to processed/\n5. **Expected:** `ls /vmPool/r/services/chrysopedia_watch/processed/uat_valid.json` — file exists\n6. **Expected:** `ls /vmPool/r/services/chrysopedia_watch/uat_valid.json` — file no longer in root\n\n### Test 2: Invalid JSON File Handling\n\n1. Create an invalid JSON file (missing required keys):\n   ```bash\n   echo '{\"foo\": \"bar\"}' > /vmPool/r/services/chrysopedia_watch/uat_invalid.json\n   ```\n2. Wait 10 seconds\n3. **Expected:** `ls /vmPool/r/services/chrysopedia_watch/failed/uat_invalid.json` — file exists\n4. **Expected:** `cat /vmPool/r/services/chrysopedia_watch/failed/uat_invalid.json.error` — contains validation error mentioning missing keys\n5. **Expected:** File no longer in root watch folder\n\n### Test 3: Malformed JSON (Parse Error)\n\n1. Create a file with broken JSON:\n   ```bash\n   echo 'not json at all' > /vmPool/r/services/chrysopedia_watch/uat_broken.json\n   ```\n2. Wait 10 seconds\n3. **Expected:** File moved to `failed/uat_broken.json` with `.error` sidecar containing JSON parse error\n\n### Test 4: Non-JSON File Ignored\n\n1. Create a non-JSON file:\n   ```bash\n   echo 'hello' > /vmPool/r/services/chrysopedia_watch/readme.txt\n   ```\n2. Wait 10 seconds\n3. **Expected:** File remains in root watch folder — not moved to processed/ or failed/\n4. **Expected:** No log entry in watcher for this file\n\n### Test 5: File Stability (Simulated Partial Write)\n\n1. Start writing a large file slowly:\n   ```bash\n   (echo '{\"source_file\":\"test.mp4\",' ; sleep 3 ; echo '\"creator_folder\":\"Test\",\"duration_seconds\":60,\"segments\":[]}') > /vmPool/r/services/chrysopedia_watch/uat_slow.json\n   ```\n2. **Expected:** Watcher waits for file stability before processing (logs show stability check)\n3. **Expected:** File ultimately processed (valid JSON) and moved to processed/\n\n### Test 6: Watcher Survives API Downtime\n\n1. Stop the API: `docker stop chrysopedia-api`\n2. Drop a valid JSON file into watch folder\n3. **Expected:** File moves to `failed/` with `.error` sidecar containing connection error\n4. Restart the API: `docker start chrysopedia-api`\n5. **Expected:** Watcher continues running (check `docker ps --filter name=chrysopedia-watcher`)\n\n### Cleanup\n```bash\nrm -f /vmPool/r/services/chrysopedia_watch/processed/uat_*.json\nrm -f /vmPool/r/services/chrysopedia_watch/failed/uat_*.json\nrm -f /vmPool/r/services/chrysopedia_watch/failed/uat_*.json.error\nrm -f /vmPool/r/services/chrysopedia_watch/readme.txt\n```\n\n### Operational Readiness (Q8)\n- **Health signal:** `docker ps --filter name=chrysopedia-watcher` shows healthy; `docker logs chrysopedia-watcher --tail 5` shows recent activity or idle polling\n- **Failure signal:** Container exits or becomes unhealthy; `.error` sidecar files accumulate in `failed/` directory\n- **Recovery procedure:** `docker compose restart chrysopedia-watcher` — no state to lose, watcher re-scans on startup\n- **Monitoring gaps:** No alerting on failed/ file accumulation; no metrics endpoint. Admin must manually check `failed/` directory or watcher logs.","verification":"All slice-level verification checks pass:\n1. `python -m py_compile backend/watcher.py` — exits 0\n2. `grep -q 'watchdog' backend/requirements.txt` — exits 0\n3. `grep -q 'PollingObserver' backend/watcher.py` — exits 0\n4. `grep -q 'processed' backend/watcher.py && grep -q 'failed' backend/watcher.py` — exits 0\n5. `ssh ub01 \"docker ps --filter name=chrysopedia-watcher --format '{{.Status}}'\"` — shows \"Up N minutes (healthy)\"\n6. End-to-end valid JSON ingestion verified on ub01 (HTTP 200, file in processed/)\n7. End-to-end invalid JSON handling verified on ub01 (file in failed/ with .error sidecar)"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":2873,"cacheRead":72697,"cacheWrite":313,"totalTokens":75884,"cost":{"input":0.000005,"output":0.071825,"cacheRead":0.0363485,"cacheWrite":0.00195625,"total":0.11013475000000002}},"stopReason":"toolUse","timestamp":1774898728262}}
{"type":"message","id":"c0a497cf","parentId":"d0ddf1bc","timestamp":"2026-03-30T19:26:20.106Z","message":{"role":"toolResult","toolCallId":"toolu_01NMvoW8VvRznAnvjdRTUyS5","toolName":"gsd_complete_slice","content":[{"type":"text","text":"Completed slice S03 (M007)"}],"details":{"operation":"complete_slice","sliceId":"S03","milestoneId":"M007","summaryPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-SUMMARY.md","uatPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M007/slices/S03/S03-UAT.md"},"isError":false,"timestamp":1774898780104}}
{"type":"message","id":"af1b2e7d","parentId":"c0a497cf","timestamp":"2026-03-30T19:26:23.658Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S03 complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":10,"cacheRead":73010,"cacheWrite":2902,"totalTokens":75923,"cost":{"input":0.000005,"output":0.00025,"cacheRead":0.036504999999999996,"cacheWrite":0.0181375,"total":0.054897499999999995}},"stopReason":"stop","timestamp":1774898780105}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_ef49bc34** (processed/failed check, 0.0s)\n\nPASS: processed/failed\n","display":true,"id":"385221e6","parentId":"af1b2e7d","timestamp":"2026-03-30T19:26:23.662Z"}
{"type":"message","id":"33a29907","parentId":"385221e6","timestamp":"2026-03-30T19:26:26.517Z","message":{"role":"assistant","content":[{"type":"text","text":"Already captured that result — all verification passed and the slice is complete. Nothing more to do here."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":23,"cacheRead":75912,"cacheWrite":43,"totalTokens":75980,"cost":{"input":0.00001,"output":0.000575,"cacheRead":0.037956,"cacheWrite":0.00026875,"total":0.03880975}},"stopReason":"stop","timestamp":1774898783659}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_a3b5417c** (PollingObserver check, 0.0s)\n\nPASS: PollingObserver\n","display":true,"id":"deb558ad","parentId":"33a29907","timestamp":"2026-03-30T19:26:26.519Z"}
{"type":"message","id":"26b5e2eb","parentId":"deb558ad","timestamp":"2026-03-30T19:26:29.437Z","message":{"role":"assistant","content":[{"type":"text","text":"Already handled — slice S03 is complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":13,"cacheRead":75955,"cacheWrite":63,"totalTokens":76033,"cost":{"input":0.00001,"output":0.00032500000000000004,"cacheRead":0.0379775,"cacheWrite":0.00039375,"total":0.03870625}},"stopReason":"stop","timestamp":1774898786517}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_7d9547a5** (watchdog check, 0.0s)\n\nPASS: watchdog in requirements\n","display":true,"id":"0111fe47","parentId":"26b5e2eb","timestamp":"2026-03-30T19:26:29.441Z"}
{"type":"message","id":"e4e5da36","parentId":"0111fe47","timestamp":"2026-03-30T19:26:32.348Z","message":{"role":"assistant","content":[{"type":"text","text":"Already processed — all checks passed and S03 is done."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":16,"cacheRead":76018,"cacheWrite":49,"totalTokens":76085,"cost":{"input":0.00001,"output":0.0004,"cacheRead":0.038009,"cacheWrite":0.00030625,"total":0.03872525}},"stopReason":"stop","timestamp":1774898789438}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_d5f1d296** (py_compile, 0.0s)\n\nPASS: py_compile\n","display":true,"id":"40baca2d","parentId":"e4e5da36","timestamp":"2026-03-30T19:26:32.351Z"}
{"type":"message","id":"3c386cc4","parentId":"40baca2d","timestamp":"2026-03-30T19:26:35.256Z","message":{"role":"assistant","content":[{"type":"text","text":"All background jobs accounted for. Slice S03 was already completed."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":19,"cacheRead":76067,"cacheWrite":51,"totalTokens":76139,"cost":{"input":0.00001,"output":0.000475,"cacheRead":0.0380335,"cacheWrite":0.00031875,"total":0.03883725}},"stopReason":"stop","timestamp":1774898792349}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_65c3a98d** (watcher container status, 0.8s)\n\nUp 3 minutes (healthy)\n","display":true,"id":"60593cb3","parentId":"3c386cc4","timestamp":"2026-03-30T19:26:35.258Z"}
{"type":"message","id":"1f293a3f","parentId":"60593cb3","timestamp":"2026-03-30T19:26:38.307Z","message":{"role":"assistant","content":[{"type":"text","text":"Already captured. All five verification jobs passed, slice S03 is complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":19,"cacheRead":76118,"cacheWrite":57,"totalTokens":76196,"cost":{"input":0.00001,"output":0.000475,"cacheRead":0.038058999999999996,"cacheWrite":0.00035625,"total":0.03890025}},"stopReason":"stop","timestamp":1774898795256}}
