{"type":"thinking_level_change","id":"b39c8683","parentId":null,"timestamp":"2026-03-30T07:01:39.828Z","thinkingLevel":"off"}
{"type":"model_change","id":"a9970ac4","parentId":"b39c8683","timestamp":"2026-03-30T07:01:39.829Z","provider":"anthropic","modelId":"claude-opus-4-6"}
{"type":"custom_message","customType":"gsd-auto","content":"You are executing GSD auto-mode.\n\n## Working Directory\n\nYour working directory is `/home/aux/projects/content-to-kb-automator`. All file reads, writes, and shell commands MUST operate relative to this directory. Do NOT `cd` to any other directory.\n\nAll relevant context has been preloaded below — start working immediately without re-reading these files.\n\n## Executor Context Constraints\n\nThe agent that executes each task has a **200K token** context window.\n- Recommended task count for this slice: **2–6 tasks**\n- Each task gets ~320K chars of inline context (plans, code, decisions)\n- Keep individual tasks completable within a single context window — if a task needs more context than fits, split it\n\nThen:\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements the roadmap says this slice owns or supports. These are the requirements this plan must deliver — every owned requirement needs at least one task that directly advances it, and verification must prove the requirement is met.\n1. Read the templates:\n   - `~/.gsd/agent/extensions/gsd/templates/plan.md`\n   - `~/.gsd/agent/extensions/gsd/templates/task-plan.md`\n2.  Record the installed skills you expect executors to use in each task plan's `skills_used` frontmatter.\n3. Define slice-level verification — the objective stopping condition for this slice:\n   - For non-trivial slices: plan actual test files with real assertions. Name the files.\n   - For simple slices: executable commands or script assertions are fine.\n   - If the project is non-trivial and has no test framework, the first task should set one up.\n   - If this slice establishes a boundary contract, verification must exercise that contract.\n4. **For non-trivial slices only** — plan observability, proof level, and integration closure:\n   - Include `Observability / Diagnostics` for backend, integration, async, stateful, or UI slices where failure diagnosis matters.\n   - Fill `Proof Level` and `Integration Closure` when the slice crosses runtime boundaries or has meaningful integration concerns.\n   - **Omit these sections entirely for simple slices** where they would all be \"none\" or trivially obvious.\n5. **Quality gates** — for non-trivial slices, fill the Threat Surface (Q3) and Requirement Impact (Q4) sections in the slice plan:\n   - **Threat Surface:** Identify abuse scenarios, data exposure risks, and input trust boundaries. Required when the slice handles user input, authentication, authorization, or sensitive data. Omit entirely for internal refactoring or simple changes.\n   - **Requirement Impact:** List which existing requirements this slice touches, what must be re-verified after shipping, and which prior decisions should be reconsidered. Omit entirely if no existing requirements are affected.\n   - For each task in a non-trivial slice, fill Failure Modes (Q5), Load Profile (Q6), and Negative Tests (Q7) in the task plan when the task has external dependencies, shared resources, or non-trivial input handling. Omit for simple tasks.\n6. Decompose the slice into tasks, each fitting one context window. Each task needs:\n   - a concrete, action-oriented title\n   - the inline task entry fields defined in the plan.md template (Why / Files / Do / Verify / Done when)\n   - a matching task plan file with description, steps, must-haves, verification, inputs, and expected output\n   - **Inputs and Expected Output must list concrete backtick-wrapped file paths** (e.g. `` `src/types.ts` ``). These are machine-parsed to derive task dependencies — vague prose without paths breaks parallel execution. Every task must have at least one output file path.\n   - Observability Impact section **only if the task touches runtime boundaries, async flows, or error paths** — omit it otherwise\n7. **Persist planning state through `gsd_plan_slice`.** Call it with the full slice planning payload (goal, demo, must-haves, verification, tasks, and metadata). The tool inserts all tasks in the same transaction, writes to the DB, and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/S04-PLAN.md` and `.gsd/milestones/M004/slices/S04/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 S04 planned.\"\n## Requirements Advanced\n\n- R006 — Technique page now renders meta stats line, video source filenames on key moments, and signal chain flow blocks with arrow separators — matching the reference layout specification\n\n## Requirements Validated\n\nNone.\n\n## Requirements Invalidated or Re-scoped\n\nNone.\n\n## UNIT: Plan Slice S04 (\"Article Versioning + Pipeline Tuning Metadata\") — Milestone M004\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M004/M004-ROADMAP.md`\n\n# M004: \n\n## Vision\nFix the immediate bugs (422 errors, creators page), apply a dark mode theme with cyan accents and fix mobile responsive issues, redesign the technique page to match the reference HTML (proper sections, signal chain blocks, key moments with video source), and introduce article versioning with pipeline tuning metadata for benchmarking extraction quality across prompt iterations.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Fix API Bugs — Review Detail 422 + Creators Page | low | — | ✅ | Review detail page and creators page load without errors using real pipeline data |\n| S02 | Dark Theme + Cyan Accents + Mobile Responsive Fix | medium | — | ✅ | App uses dark theme with cyan accents, no horizontal scroll on mobile |\n| S03 | Technique Page Redesign + Video Source on Moments | medium | S01 | ✅ | Technique page matches reference HTML layout with video source on key moments, signal chain blocks, and proper section structure |\n| S04 | Article Versioning + Pipeline Tuning Metadata | high | S03 | ⬜ | Technique pages track version history with pipeline metadata; API returns version list |\n\n---\n\n### Slice Research\nSource: `.gsd/milestones/M004/slices/S04/S04-RESEARCH.md`\n\n# S04: Article Versioning + Pipeline Tuning Metadata — Research\n\n**Date:** 2026-03-30\n\n## Summary\n\nThis slice introduces version tracking for technique pages so the admin can compare pipeline outputs across prompt iterations — the \"calibration loop\" from spec §8.3. Currently, stage 5 does a slug-based upsert that silently overwrites the previous content whenever the pipeline re-runs. There is no way to compare old vs new output, correlate quality changes with prompt edits, or roll back to a previous version.\n\nThe work is a new `technique_page_versions` table (Alembic migration), a hook in stage 5 that snapshots the current page content + pipeline metadata before overwriting, API endpoints to list/retrieve versions for a technique page, and a minimal frontend version history panel on the technique detail page.\n\nThe approach is well-scoped: snapshot-on-write in stage 5, not a full event-sourcing system. Each version captures the full page content (body_sections, signal_chains, summary, etc.) plus pipeline metadata (model names, prompt file hashes, timestamps) so the admin can answer \"which prompt/model combination produced this version?\"\n\n## Recommendation\n\n**Snapshot-on-write versioning with JSONB content storage and pipeline metadata columns.**\n\n- New `technique_page_versions` table with: `id`, `technique_page_id` (FK), `version_number` (integer, auto-incremented per page), `content_snapshot` (JSONB — full page content at that point), `pipeline_metadata` (JSONB — model names, prompt hashes, settings), `created_at`.\n- Stage 5 synthesis: before overwriting an existing page, snapshot the current content + pipeline config into a version row. The \"current\" version is always the live `technique_pages` row; the versions table holds history.\n- New API endpoints: `GET /techniques/{slug}/versions` (list with metadata summary), `GET /techniques/{slug}/versions/{version_number}` (full content snapshot).\n- Minimal frontend: version history sidebar/dropdown on TechniquePage showing version list with timestamps and model info.\n\nWhy JSONB snapshots instead of duplicating all columns: the page content structure (body_sections, signal_chains) is already JSONB — storing the whole page as a single JSONB blob is simpler, forward-compatible (new columns don't require migration of the versions table), and the versions table is write-once/read-rarely.\n\nWhy pipeline metadata as JSONB: the metadata schema will evolve as we add more pipeline knobs. JSONB avoids schema churn while still being queryable via PostgreSQL JSON operators.\n\n## Implementation Landscape\n\n### Key Files\n\n- `backend/models.py` — Add `TechniquePageVersion` model with FK to `technique_pages`, version_number, content_snapshot (JSONB), pipeline_metadata (JSONB), created_at\n- `alembic/versions/002_technique_page_versions.py` — New migration adding the `technique_page_versions` table\n- `backend/schemas.py` — Add `TechniquePageVersionRead`, `TechniquePageVersionList` schemas; extend `TechniquePageDetail` with `version_count: int` and `current_version: int`\n- `backend/pipeline/stages.py` — In `stage5_synthesis`, before the existing upsert block, snapshot existing page content + pipeline metadata into a `TechniquePageVersion` row. Add a helper `_capture_pipeline_metadata()` that collects model names, prompt file hashes (SHA-256 of file content), and relevant settings.\n- `backend/routers/techniques.py` — Add `GET /{slug}/versions` and `GET /{slug}/versions/{version_number}` endpoints\n- `backend/tests/test_public_api.py` — Add tests for version list and version detail endpoints\n- `backend/tests/test_pipeline.py` — Add test that re-running stage 5 creates a version row\n- `frontend/src/pages/TechniquePage.tsx` — Add version info display (count, link to version history)\n- `frontend/src/api/public-client.ts` — Add version list/detail API calls\n\n### Build Order\n\n1. **Model + Migration** (T01) — Add `TechniquePageVersion` to models.py and create Alembic migration. This unblocks everything else. Low risk — straightforward table creation following existing patterns.\n\n2. **Stage 5 versioning hook + pipeline metadata capture** (T02) — Modify `stage5_synthesis` to snapshot before overwrite. Add `_capture_pipeline_metadata()` helper that hashes prompt files and reads model config. This is the riskiest task because it modifies the pipeline's write path. The sync SQLAlchemy session in stage 5 already has the existing page loaded — snapshotting it is a single INSERT before the UPDATE.\n\n3. **API endpoints + schemas** (T03) — Add version list/detail endpoints and Pydantic schemas. Straightforward FastAPI/SQLAlchemy read-only endpoints following the existing pattern in `techniques.py`.\n\n4. **Frontend version display** (T04) — Add version count to technique detail and link/panel for version history. Light frontend work — fetch version list, display in a collapsible section.\n\n5. **Integration tests** (T05) — Test the full flow: stage 5 creates version on re-run, API returns versions, version detail contains correct snapshot. Can be combined with T03 if scope is tight.\n\n### Verification Approach\n\n1. **Migration**: `alembic upgrade head` succeeds on test DB; `technique_page_versions` table exists with correct columns.\n2. **Pipeline versioning**: Run stage 5 twice for the same video → `technique_page_versions` has 1 row (snapshot of v1 before v2 overwrote it). The version row contains `content_snapshot` with the original body_sections/summary and `pipeline_metadata` with model names and prompt hashes.\n3. **API**: `GET /techniques/{slug}/versions` returns version list sorted by version_number desc. `GET /techniques/{slug}/versions/1` returns the full content snapshot.\n4. **Frontend**: `npm run build` passes. Technique page shows version count.\n5. **Existing tests**: All existing tests in `test_pipeline.py` and `test_public_api.py` still pass (no regressions).\n\n## Constraints\n\n- Stage 5 uses **sync SQLAlchemy** (psycopg2) because it runs inside Celery. The version snapshot INSERT must use the same sync session — no async.\n- Alembic env.py needs both local and Docker sys.path entries (KNOWLEDGE item). The new migration must follow the same pattern as `001_initial.py`.\n- The existing slug-based upsert in stage 5 loads the page via `select()` then mutates it in-place. The snapshot must happen AFTER loading but BEFORE mutating, in the same transaction.\n- Prompt file hashes must be computed at pipeline runtime (not stored in config) because the files can be edited between runs without restarting the worker.\n\n## Common Pitfalls\n\n- **Snapshot timing in stage 5** — The snapshot must capture the OLD content before the in-place mutation. If the code snapshots after `existing.title = page_data.title` etc., it captures the new content. The safest approach: read the existing row's relevant fields into a dict immediately after the `select()`, before any attribute assignment.\n- **Version number race condition** — Two concurrent pipeline runs for different videos could both try to version the same technique page. Use `SELECT MAX(version_number) ... FOR UPDATE` or a simple `COUNT(*) + 1` within the transaction. Given this is a single-admin tool with sequential pipeline runs, a simple `COUNT + 1` is sufficient.\n- **JSONB serialization of SQLAlchemy model fields** — `body_sections` and `signal_chains` are already Python dicts/lists (loaded from JSONB columns). They serialize to JSON naturally. But `topic_tags` and `plugins` are `ARRAY(String)` which come back as Python lists — these also serialize fine. No special handling needed.\n\n## Open Risks\n\n- The pipeline metadata concept (prompt hashes, model names) is new and not currently tested. If prompt files are large or change frequently, the hash computation adds trivial overhead but the metadata schema may need iteration. Starting with JSONB gives us room.\n- Version comparison UI (side-by-side diff of two versions) is explicitly NOT in scope for this slice — the roadmap says \"API returns version list.\" If the admin wants visual diff, that's a future slice. But the data model should support it (full content snapshots enable client-side diffing).\n\n## Sources\n\n- Spec §8.3 \"Prompt tuning\" — defines the calibration loop that motivates versioning\n- Existing stage 5 upsert pattern in `backend/pipeline/stages.py` lines 561-595\n- Existing Alembic migration pattern in `alembic/versions/001_initial.py`\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n| D013 | M001/S05 | requirement | R008 Topics Browse Page status | validated | TopicsBrowse.tsx renders two-level topic hierarchy (6 categories from canonical_tags.yaml with expandable sub-topics showing technique_count and creator_count). Filter input narrows categories/sub-topics. Clicking sub-topic navigates to search with scope=topics. Backend GET /api/v1/topics aggregates counts from DB per sub-topic. Integration test verifies topic hierarchy response shape. | Yes | agent |\n| D014 | M001/S05 | requirement | R014 Creator Equity status | validated | CreatorsBrowse.tsx defaults to sort=random. Backend uses func.random() ORDER BY for randomized sort. Integration test verifies random sort returns all creators (order may vary). All creators get equal visual weight in the UI — no featured/highlighted treatment. Equal-weight row layout confirmed in CSS. | Yes | agent |\n| D015 | M002/S01 | architecture | Docker network subnet for Chrysopedia on ub01 | 172.32.0.0/24 — free on ub01, replaces 172.24.0.0/24 which is used by xpltd_docs_default | 172.24.0.0/24 was already allocated to xpltd_docs_default network on ub01. Scanned all existing subnets and 172.32.0.0/24 was the first unoccupied /24 in the 172.x range. | Yes | agent |\n| D016 | M002/S01 | architecture | Embedding service for the pipeline and search — OpenWebUI doesn't serve /v1/embeddings | Add Ollama container (ollama/ollama:latest) to the compose stack running nomic-embed-text on CPU | The FYN OpenWebUI instance at chat.forgetyour.name returns 404/500 on /v1/embeddings. No Ollama instance exists on the network. Ollama provides the standard OpenAI-compatible /v1/embeddings endpoint that both EmbeddingClient and SearchService expect. | Yes | agent |\n| D017 |  | frontend | CSS theming approach for dark mode | 77 semantic CSS custom properties in :root block, all hardcoded colors replaced with var(--*) references | A complete variable-based palette enables theme switching, ensures consistency, and makes future color changes single-point edits. 77 tokens (vs ~30 initially planned) were needed to cover all semantic contexts — badges, buttons, surfaces, text, accents, shadows, and status states. Cyan (#22d3ee) replaces indigo as the accent color throughout. | Yes | agent |\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (6 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic shows technique pages.\n**Validation:** Hierarchy renders, filtering works, sub-topic links show correct technique pages.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n---\n\n[...truncated 3 sections]\n\n### Dependency Slice Summaries\n\nPay particular attention to **Forward Intelligence** sections — they contain hard-won knowledge about what's fragile, what assumptions changed, and what this slice should watch out for.\n\n#### S03 Summary\nSource: `.gsd/milestones/M004/slices/S03/S03-SUMMARY.md`\n\n---\nid: S03\nparent: M004\nmilestone: M004\nprovides:\n  - Technique detail API returns video_filename on each key moment\n  - Technique page renders meta stats, video sources, and signal chain flow blocks matching reference layout\nrequires:\n  - slice: S01\n    provides: Fixed technique detail endpoint (422 bug resolved)\naffects:\n  - S04\nkey_files:\n  - backend/schemas.py\n  - backend/routers/techniques.py\n  - frontend/src/api/public-client.ts\n  - frontend/src/pages/TechniquePage.tsx\n  - frontend/src/App.css\nkey_decisions:\n  - Populate video_filename via post-processing loop rather than Pydantic from_attributes auto-mapping, since the field comes from a joined relation not a direct column\n  - Used text-overflow ellipsis on video filename with max-width 20rem to prevent layout breakage on long filenames\npatterns_established:\n  - Chained selectinload for cross-relation field population in technique detail endpoint — pattern for adding more joined fields to API responses\nobservability_surfaces:\n  - none\ndrill_down_paths:\n  - .gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md\n  - .gsd/milestones/M004/slices/S03/tasks/T02-SUMMARY.md\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T06:58:43.576Z\nblocker_discovered: false\n---\n\n# S03: Technique Page Redesign + Video Source on Moments\n\n**Technique detail pages now show meta stats, video filenames on key moments, and monospace signal chain flow blocks with arrow separators — matching the reference layout spec.**\n\n## What Happened\n\nThis slice delivered three visual changes to the technique page plus the backend data prerequisite to power them.\n\n**T01 (Backend):** Added `video_filename: str = \"\"` to the `KeyMomentSummary` Pydantic schema. Chained `.selectinload(KeyMoment.source_video)` onto the existing key_moments eager load in the technique detail endpoint. Added a post-processing loop that populates `video_filename` from the joined `source_video.filename` relation. Deployed to ub01 and verified all 13 key moments on the wave-shaping technique page return populated video filenames.\n\n**T02 (Frontend):** Three changes to TechniquePage.tsx plus corresponding CSS:\n1. **Meta stats line** below the title — shows source count (unique video filenames), moment count, and last-updated date. Computed inline via an IIFE for readability.\n2. **Video filename on key moments** — each moment row displays the source video filename in muted monospace text, truncated with ellipsis at 20rem to prevent layout breakage.\n3. **Signal chain flow blocks** — replaced the numbered `<ol>` list with a horizontal-wrap monospace `<div>` where steps are separated by cyan arrow (`→`) separators. Uses `var(--color-accent)` for the arrows, `var(--color-bg-surface)` background, and proper border-radius.\n\nAll CSS uses `var(--*)` tokens exclusively — zero hardcoded hex colors outside `:root`. The TypeScript `KeyMomentSummary` interface was updated to include `video_filename: string`. Build passes cleanly with zero errors.\n\n## Verification\n\n1. API returns video_filename on all key moments: `curl` to wave-shaping technique endpoint → 13 moments, all with `video_filename` populated as \"Skope - Understanding Waveshapers (2160p).mp4\".\n2. Frontend builds cleanly: `npm run build` exits 0 with zero TypeScript errors.\n3. No hardcoded colors: grep for hex colors outside `:root` returns zero matches.\n4. Live deployment on ub01:8096 serves the updated frontend with all three visual changes rendering correctly.\n\n## New Requirements Surfaced\n\nNone.\n\n## Deviations\n\nNone.\n\n## Known Limitations\n\nThe meta stats line computes source count client-side from video filenames — if two videos have the same filename (different paths), they'd be counted as one source. Unlikely in practice.\n\n## Follow-ups\n\nNone.\n\n## Files Created/Modified\n\n- `backend/schemas.py` — Added video_filename: str = '' to KeyMomentSummary schema\n- `backend/routers/techniques.py` — Chained selectinload for source_video; post-processing loop populates video_filename\n- `frontend/src/api/public-client.ts` — Added video_filename: string to KeyMomentSummary TypeScript interface\n- `frontend/src/pages/TechniquePage.tsx` — Added meta stats line, video filename display on moments, monospace signal chain flow blocks\n- `frontend/src/App.css` — Added CSS for technique-header__stats, technique-moment__source, technique-chain__flow/arrow/step classes\n\n## Your Role in the Pipeline\n\nYou have full tool access. Before decomposing, explore the relevant code to ground your plan in reality.\n\n### Verify Roadmap Assumptions\n\nCheck prior slice summaries (inlined above as dependency summaries, if present). If prior slices discovered constraints, changed approaches, or flagged fragility, adjust your plan accordingly. The roadmap description may be stale — verify it against the current codebase state.\n\n### Explore Slice Scope\n\nRead the code files relevant to this slice. Confirm the roadmap's description of what exists, what needs to change, and what boundaries apply. Use `rg`, `find`, and targeted reads.\n\n### Source Files\n\n- **Requirements**: `.gsd/REQUIREMENTS.md`\n- **Decisions**: `.gsd/DECISIONS.md`\n- **Roadmap**: `.gsd/milestones/M004/M004-ROADMAP.md`\n- **Slice Research**: `.gsd/milestones/M004/slices/S04/S04-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":"1733217d","parentId":"a9970ac4","timestamp":"2026-03-30T07:01:39.831Z"}
{"type":"message","id":"10dcfa79","parentId":"1733217d","timestamp":"2026-03-30T07:01:44.391Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll explore the codebase to ground the plan in reality before decomposing."},{"type":"toolCall","id":"toolu_01RYA437yAztyPAbFMj2DJVz","name":"bash","arguments":{"command":"find /home/aux/projects/content-to-kb-automator/backend/models.py /home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py /home/aux/projects/content-to-kb-automator/backend/schemas.py /home/aux/projects/content-to-kb-automator/backend/routers/techniques.py -maxdepth 0 2>/dev/null | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":178,"cacheRead":56783,"cacheWrite":10200,"totalTokens":67163,"cost":{"input":0.00001,"output":0.00445,"cacheRead":0.0283915,"cacheWrite":0.06375,"total":0.0966015}},"stopReason":"toolUse","timestamp":1774854099830}}
{"type":"message","id":"0c2132df","parentId":"10dcfa79","timestamp":"2026-03-30T07:01:44.401Z","message":{"role":"toolResult","toolCallId":"toolu_01RYA437yAztyPAbFMj2DJVz","toolName":"bash","content":[{"type":"text","text":"/home/aux/projects/content-to-kb-automator/backend/models.py\n/home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py\n/home/aux/projects/content-to-kb-automator/backend/schemas.py\n/home/aux/projects/content-to-kb-automator/backend/routers/techniques.py\n"}],"isError":false,"timestamp":1774854104400}}
{"type":"message","id":"8234e84d","parentId":"0c2132df","timestamp":"2026-03-30T07:01:48.536Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01VhJNQdBvcvxVqeppT3hdM7","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/models.py"}},{"type":"toolCall","id":"toolu_01LWp2p2y2ToMcGCCtBQHpbJ","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/schemas.py"}},{"type":"toolCall","id":"toolu_0163Bv5whGUnv7u4r8xQExHY","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/alembic/versions/"}},{"type":"toolCall","id":"toolu_01Ls6X98ERZ3yGBhpcps41nu","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":239,"cacheRead":66983,"cacheWrite":284,"totalTokens":67507,"cost":{"input":0.000005,"output":0.005975,"cacheRead":0.0334915,"cacheWrite":0.001775,"total":0.0412465}},"stopReason":"toolUse","timestamp":1774854104400}}
{"type":"message","id":"9684ef77","parentId":"8234e84d","timestamp":"2026-03-30T07:01:48.548Z","message":{"role":"toolResult","toolCallId":"toolu_01VhJNQdBvcvxVqeppT3hdM7","toolName":"read","content":[{"type":"text","text":"\"\"\"SQLAlchemy ORM models for the Chrysopedia knowledge base.\n\nSeven entities matching chrysopedia-spec.md §6.1:\n  Creator, SourceVideo, TranscriptSegment, KeyMoment,\n  TechniquePage, RelatedTechniqueLink, Tag\n\"\"\"\n\nfrom __future__ import annotations\n\nimport enum\nimport uuid\nfrom datetime import datetime, timezone\n\nfrom sqlalchemy import (\n    Enum,\n    Float,\n    ForeignKey,\n    Integer,\n    String,\n    Text,\n    UniqueConstraint,\n    func,\n)\nfrom sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID\nfrom sqlalchemy.orm import Mapped, mapped_column\nfrom sqlalchemy.orm import relationship as sa_relationship\n\nfrom database import Base\n\n\n# ── Enums ────────────────────────────────────────────────────────────────────\n\nclass ContentType(str, enum.Enum):\n    \"\"\"Source video content type.\"\"\"\n    tutorial = \"tutorial\"\n    livestream = \"livestream\"\n    breakdown = \"breakdown\"\n    short_form = \"short_form\"\n\n\nclass ProcessingStatus(str, enum.Enum):\n    \"\"\"Pipeline processing status for a source video.\"\"\"\n    pending = \"pending\"\n    transcribed = \"transcribed\"\n    extracted = \"extracted\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass KeyMomentContentType(str, enum.Enum):\n    \"\"\"Content classification for a key moment.\"\"\"\n    technique = \"technique\"\n    settings = \"settings\"\n    reasoning = \"reasoning\"\n    workflow = \"workflow\"\n\n\nclass ReviewStatus(str, enum.Enum):\n    \"\"\"Human review status for key moments.\"\"\"\n    pending = \"pending\"\n    approved = \"approved\"\n    edited = \"edited\"\n    rejected = \"rejected\"\n\n\nclass SourceQuality(str, enum.Enum):\n    \"\"\"Derived source quality for technique pages.\"\"\"\n    structured = \"structured\"\n    mixed = \"mixed\"\n    unstructured = \"unstructured\"\n\n\nclass PageReviewStatus(str, enum.Enum):\n    \"\"\"Review lifecycle for technique pages.\"\"\"\n    draft = \"draft\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass RelationshipType(str, enum.Enum):\n    \"\"\"Types of links between technique pages.\"\"\"\n    same_technique_other_creator = \"same_technique_other_creator\"\n    same_creator_adjacent = \"same_creator_adjacent\"\n    general_cross_reference = \"general_cross_reference\"\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\ndef _uuid_pk() -> Mapped[uuid.UUID]:\n    return mapped_column(\n        UUID(as_uuid=True),\n        primary_key=True,\n        default=uuid.uuid4,\n        server_default=func.gen_random_uuid(),\n    )\n\n\ndef _now() -> datetime:\n    \"\"\"Return current UTC time as a naive datetime (no tzinfo).\n\n    PostgreSQL TIMESTAMP WITHOUT TIME ZONE columns require naive datetimes.\n    asyncpg rejects timezone-aware datetimes for such columns.\n    \"\"\"\n    return datetime.now(timezone.utc).replace(tzinfo=None)\n\n\n# ── Models ───────────────────────────────────────────────────────────────────\n\nclass Creator(Base):\n    __tablename__ = \"creators\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), nullable=False)\n    slug: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    genres: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    folder_name: Mapped[str] = mapped_column(String(255), nullable=False)\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    videos: Mapped[list[SourceVideo]] = sa_relationship(back_populates=\"creator\")\n    technique_pages: Mapped[list[TechniquePage]] = sa_relationship(back_populates=\"creator\")\n\n\nclass SourceVideo(Base):\n    __tablename__ = \"source_videos\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    filename: Mapped[str] = mapped_column(String(500), nullable=False)\n    file_path: Mapped[str] = mapped_column(String(1000), nullable=False)\n    duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True)\n    content_type: Mapped[ContentType] = mapped_column(\n        Enum(ContentType, name=\"content_type\", create_constraint=True),\n        nullable=False,\n    )\n    transcript_path: Mapped[str | None] = mapped_column(String(1000), nullable=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.pending,\n        server_default=\"pending\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"videos\")\n    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n\n\nclass TranscriptSegment(Base):\n    __tablename__ = \"transcript_segments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    text: Mapped[str] = mapped_column(Text, nullable=False)\n    segment_index: Mapped[int] = mapped_column(Integer, nullable=False)\n    topic_label: Mapped[str | None] = mapped_column(String(255), nullable=True)\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n\n\nclass KeyMoment(Base):\n    __tablename__ = \"key_moments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    technique_page_id: Mapped[uuid.UUID | None] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"SET NULL\"), nullable=True\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    summary: Mapped[str] = mapped_column(Text, nullable=False)\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    content_type: Mapped[KeyMomentContentType] = mapped_column(\n        Enum(KeyMomentContentType, name=\"key_moment_content_type\", create_constraint=True),\n        nullable=False,\n    )\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    review_status: Mapped[ReviewStatus] = mapped_column(\n        Enum(ReviewStatus, name=\"review_status\", create_constraint=True),\n        default=ReviewStatus.pending,\n        server_default=\"pending\",\n    )\n    raw_transcript: Mapped[str | None] = mapped_column(Text, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n        back_populates=\"key_moments\", foreign_keys=[technique_page_id]\n    )\n\n\nclass TechniquePage(Base):\n    __tablename__ = \"technique_pages\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    slug: Mapped[str] = mapped_column(String(500), unique=True, nullable=False)\n    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    summary: Mapped[str | None] = mapped_column(Text, nullable=True)\n    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    signal_chains: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    source_quality: Mapped[SourceQuality | None] = mapped_column(\n        Enum(SourceQuality, name=\"source_quality\", create_constraint=True),\n        nullable=True,\n    )\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    review_status: Mapped[PageReviewStatus] = mapped_column(\n        Enum(PageReviewStatus, name=\"page_review_status\", create_constraint=True),\n        default=PageReviewStatus.draft,\n        server_default=\"draft\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n        back_populates=\"technique_page\", foreign_keys=[KeyMoment.technique_page_id]\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass Tag(Base):\n    __tablename__ = \"tags\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    category: Mapped[str] = mapped_column(String(255), nullable=False)\n    aliases: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774854108547}}
{"type":"message","id":"fdec9a2b","parentId":"9684ef77","timestamp":"2026-03-30T07:01:48.550Z","message":{"role":"toolResult","toolCallId":"toolu_01LWp2p2y2ToMcGCCtBQHpbJ","toolName":"read","content":[{"type":"text","text":"\"\"\"Pydantic schemas for the Chrysopedia API.\n\nRead-only schemas for list/detail endpoints and input schemas for creation.\nEach schema mirrors the corresponding SQLAlchemy model in models.py.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\nfrom datetime import datetime\n\nfrom pydantic import BaseModel, ConfigDict, Field\n\n\n# ── Health ───────────────────────────────────────────────────────────────────\n\nclass HealthResponse(BaseModel):\n    status: str = \"ok\"\n    service: str = \"chrysopedia-api\"\n    version: str = \"0.1.0\"\n    database: str = \"unknown\"\n\n\n# ── Creator ──────────────────────────────────────────────────────────────────\n\nclass CreatorBase(BaseModel):\n    name: str\n    slug: str\n    genres: list[str] | None = None\n    folder_name: str\n\nclass CreatorCreate(CreatorBase):\n    pass\n\nclass CreatorRead(CreatorBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    view_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\nclass CreatorDetail(CreatorRead):\n    \"\"\"Creator with nested video count.\"\"\"\n    video_count: int = 0\n\n\n# ── SourceVideo ──────────────────────────────────────────────────────────────\n\nclass SourceVideoBase(BaseModel):\n    filename: str\n    file_path: str\n    duration_seconds: int | None = None\n    content_type: str\n    transcript_path: str | None = None\n\nclass SourceVideoCreate(SourceVideoBase):\n    creator_id: uuid.UUID\n\nclass SourceVideoRead(SourceVideoBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    processing_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TranscriptSegment ────────────────────────────────────────────────────────\n\nclass TranscriptSegmentBase(BaseModel):\n    start_time: float\n    end_time: float\n    text: str\n    segment_index: int\n    topic_label: str | None = None\n\nclass TranscriptSegmentCreate(TranscriptSegmentBase):\n    source_video_id: uuid.UUID\n\nclass TranscriptSegmentRead(TranscriptSegmentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n\n\n# ── KeyMoment ────────────────────────────────────────────────────────────────\n\nclass KeyMomentBase(BaseModel):\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    raw_transcript: str | None = None\n\nclass KeyMomentCreate(KeyMomentBase):\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n\nclass KeyMomentRead(KeyMomentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n    review_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TechniquePage ────────────────────────────────────────────────────────────\n\nclass TechniquePageBase(BaseModel):\n    title: str\n    slug: str\n    topic_category: str\n    topic_tags: list[str] | None = None\n    summary: str | None = None\n    body_sections: dict | None = None\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\nclass TechniquePageCreate(TechniquePageBase):\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n\nclass TechniquePageRead(TechniquePageBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n    view_count: int = 0\n    review_status: str = \"draft\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── RelatedTechniqueLink ─────────────────────────────────────────────────────\n\nclass RelatedTechniqueLinkBase(BaseModel):\n    source_page_id: uuid.UUID\n    target_page_id: uuid.UUID\n    relationship: str\n\nclass RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n    pass\n\nclass RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Tag ──────────────────────────────────────────────────────────────────────\n\nclass TagBase(BaseModel):\n    name: str\n    category: str\n    aliases: list[str] | None = None\n\nclass TagCreate(TagBase):\n    pass\n\nclass TagRead(TagBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Transcript Ingestion ─────────────────────────────────────────────────────\n\nclass TranscriptIngestResponse(BaseModel):\n    \"\"\"Response returned after successfully ingesting a transcript.\"\"\"\n    video_id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str\n    filename: str\n    segments_stored: int\n    processing_status: str\n    is_reupload: bool\n\n\n# ── Pagination wrapper ───────────────────────────────────────────────────────\n\nclass PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\n# ── Review Queue ─────────────────────────────────────────────────────────────\n\nclass ReviewQueueItem(KeyMomentRead):\n    \"\"\"Key moment enriched with source video and creator info for review UI.\"\"\"\n    video_filename: str\n    creator_name: str\n\n\nclass ReviewQueueResponse(BaseModel):\n    \"\"\"Paginated response for the review queue.\"\"\"\n    items: list[ReviewQueueItem] = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\nclass ReviewStatsResponse(BaseModel):\n    \"\"\"Counts of key moments grouped by review status.\"\"\"\n    pending: int = 0\n    approved: int = 0\n    edited: int = 0\n    rejected: int = 0\n\n\nclass MomentEditRequest(BaseModel):\n    \"\"\"Editable fields for a key moment.\"\"\"\n    title: str | None = None\n    summary: str | None = None\n    start_time: float | None = None\n    end_time: float | None = None\n    content_type: str | None = None\n    plugins: list[str] | None = None\n\n\nclass MomentSplitRequest(BaseModel):\n    \"\"\"Request to split a moment at a given timestamp.\"\"\"\n    split_time: float\n\n\nclass MomentMergeRequest(BaseModel):\n    \"\"\"Request to merge two moments.\"\"\"\n    target_moment_id: uuid.UUID\n\n\nclass ReviewModeResponse(BaseModel):\n    \"\"\"Current review mode state.\"\"\"\n    review_mode: bool\n\n\nclass ReviewModeUpdate(BaseModel):\n    \"\"\"Request to update the review mode.\"\"\"\n    review_mode: bool\n\n\n# ── Search ───────────────────────────────────────────────────────────────────\n\nclass SearchResultItem(BaseModel):\n    \"\"\"A single search result.\"\"\"\n    title: str\n    slug: str = \"\"\n    type: str = \"\"\n    score: float = 0.0\n    summary: str = \"\"\n    creator_name: str = \"\"\n    creator_slug: str = \"\"\n    topic_category: str = \"\"\n    topic_tags: list[str] = Field(default_factory=list)\n\n\nclass SearchResponse(BaseModel):\n    \"\"\"Top-level search response with metadata.\"\"\"\n    items: list[SearchResultItem] = Field(default_factory=list)\n    total: int = 0\n    query: str = \"\"\n    fallback_used: bool = False\n\n\n# ── Technique Page Detail ────────────────────────────────────────────────────\n\nclass KeyMomentSummary(BaseModel):\n    \"\"\"Lightweight key moment for technique page detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    video_filename: str = \"\"\n\n\nclass RelatedLinkItem(BaseModel):\n    \"\"\"A related technique link with target info.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    target_title: str = \"\"\n    target_slug: str = \"\"\n    relationship: str = \"\"\n\n\nclass CreatorInfo(BaseModel):\n    \"\"\"Minimal creator info embedded in technique detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    name: str\n    slug: str\n    genres: list[str] | None = None\n\n\nclass TechniquePageDetail(TechniquePageRead):\n    \"\"\"Technique page with nested key moments, creator, and related links.\"\"\"\n    key_moments: list[KeyMomentSummary] = Field(default_factory=list)\n    creator_info: CreatorInfo | None = None\n    related_links: list[RelatedLinkItem] = Field(default_factory=list)\n\n\n# ── Topics ───────────────────────────────────────────────────────────────────\n\nclass TopicSubTopic(BaseModel):\n    \"\"\"A sub-topic with aggregated counts.\"\"\"\n    name: str\n    technique_count: int = 0\n    creator_count: int = 0\n\n\nclass TopicCategory(BaseModel):\n    \"\"\"A top-level topic category with sub-topics.\"\"\"\n    name: str\n    description: str = \"\"\n    sub_topics: list[TopicSubTopic] = Field(default_factory=list)\n\n\n# ── Creator Browse ───────────────────────────────────────────────────────────\n\nclass CreatorBrowseItem(CreatorRead):\n    \"\"\"Creator with technique and video counts for browse pages.\"\"\"\n    technique_count: int = 0\n    video_count: int = 0\n"}],"isError":false,"timestamp":1774854108549}}
{"type":"message","id":"f409b916","parentId":"fdec9a2b","timestamp":"2026-03-30T07:01:48.552Z","message":{"role":"toolResult","toolCallId":"toolu_0163Bv5whGUnv7u4r8xQExHY","toolName":"bash","content":[{"type":"text","text":"001_initial.py\n__pycache__\n"}],"isError":false,"timestamp":1774854108551}}
{"type":"message","id":"e386ffd7","parentId":"f409b916","timestamp":"2026-03-30T07:01:48.554Z","message":{"role":"toolResult","toolCallId":"toolu_01Ls6X98ERZ3yGBhpcps41nu","toolName":"read","content":[{"type":"text","text":"\"\"\"Technique page endpoints — list and detail with eager-loaded relations.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, KeyMoment, RelatedTechniqueLink, SourceVideo, TechniquePage\nfrom schemas import (\n    CreatorInfo,\n    KeyMomentSummary,\n    PaginatedResponse,\n    RelatedLinkItem,\n    TechniquePageDetail,\n    TechniquePageRead,\n)\n\nlogger = logging.getLogger(\"chrysopedia.techniques\")\n\nrouter = APIRouter(prefix=\"/techniques\", tags=[\"techniques\"])\n\n\n@router.get(\"\", response_model=PaginatedResponse)\nasync def list_techniques(\n    category: Annotated[str | None, Query()] = None,\n    creator_slug: Annotated[str | None, Query()] = None,\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> PaginatedResponse:\n    \"\"\"List technique pages with optional category/creator filtering.\"\"\"\n    stmt = select(TechniquePage)\n\n    if category:\n        stmt = stmt.where(TechniquePage.topic_category == category)\n\n    if creator_slug:\n        # Join to Creator to filter by slug\n        stmt = stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    # Count total before pagination\n    from sqlalchemy import func\n\n    count_stmt = select(func.count()).select_from(stmt.subquery())\n    count_result = await db.execute(count_stmt)\n    total = count_result.scalar() or 0\n\n    stmt = stmt.order_by(TechniquePage.created_at.desc()).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    pages = result.scalars().all()\n\n    return PaginatedResponse(\n        items=[TechniquePageRead.model_validate(p) for p in pages],\n        total=total,\n        offset=offset,\n        limit=limit,\n    )\n\n\n@router.get(\"/{slug}\", response_model=TechniquePageDetail)\nasync def get_technique(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> TechniquePageDetail:\n    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n    stmt = (\n        select(TechniquePage)\n        .where(TechniquePage.slug == slug)\n        .options(\n            selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video),\n            selectinload(TechniquePage.creator),\n            selectinload(TechniquePage.outgoing_links).selectinload(\n                RelatedTechniqueLink.target_page\n            ),\n            selectinload(TechniquePage.incoming_links).selectinload(\n                RelatedTechniqueLink.source_page\n            ),\n        )\n    )\n    result = await db.execute(stmt)\n    page = result.scalar_one_or_none()\n\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = []\n    for km in key_moments:\n        item = KeyMomentSummary.model_validate(km)\n        item.video_filename = km.source_video.filename if km.source_video else \"\"\n        key_moment_items.append(item)\n\n    # Build creator info\n    creator_info = None\n    if page.creator:\n        creator_info = CreatorInfo(\n            name=page.creator.name,\n            slug=page.creator.slug,\n            genres=page.creator.genres,\n        )\n\n    # Build related links (outgoing + incoming)\n    related_links: list[RelatedLinkItem] = []\n    for link in page.outgoing_links:\n        if link.target_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.target_page.title,\n                    target_slug=link.target_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n    for link in page.incoming_links:\n        if link.source_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.source_page.title,\n                    target_slug=link.source_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n\n    base = TechniquePageRead.model_validate(page)\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n    )\n"}],"isError":false,"timestamp":1774854108551}}
{"type":"message","id":"daf7faf6","parentId":"e386ffd7","timestamp":"2026-03-30T07:01:54.205Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me look at the stage 5 synthesis code to understand the upsert pattern, and the existing Alembic migration for reference."},{"type":"toolCall","id":"toolu_01SE5QR52sAm6rut99dJtS4B","name":"bash","arguments":{"command":"grep -n \"stage5\\|def stage_5\\|def run_stage_5\\|stage5_synthesis\\|synthesis\" /home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py | head -20"}},{"type":"toolCall","id":"toolu_014ipVhVn3Nr6ueVVUSNafre","name":"bash","arguments":{"command":"wc -l /home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":201,"cacheRead":67267,"cacheWrite":7688,"totalTokens":75157,"cost":{"input":0.000005,"output":0.005025,"cacheRead":0.0336335,"cacheWrite":0.04805,"total":0.0867135}},"stopReason":"toolUse","timestamp":1774854108552}}
{"type":"message","id":"93305ff9","parentId":"daf7faf6","timestamp":"2026-03-30T07:01:54.223Z","message":{"role":"toolResult","toolCallId":"toolu_01SE5QR52sAm6rut99dJtS4B","toolName":"bash","content":[{"type":"text","text":"480:def stage5_synthesis(self, video_id: str) -> str:\n492:    logger.info(\"Stage 5 (synthesis) starting for video_id=%s\", video_id)\n527:        system_prompt = _load_prompt(\"stage5_synthesis.txt\")\n607:            \"Stage 5 (synthesis) completed for video_id=%s in %.1fs — %d pages created/updated\",\n793:            stage5_synthesis.s(),\n799:            stage5_synthesis.s(),\n"}],"isError":false,"timestamp":1774854114223}}
{"type":"message","id":"94ce1f81","parentId":"93305ff9","timestamp":"2026-03-30T07:01:54.226Z","message":{"role":"toolResult","toolCallId":"toolu_014ipVhVn3Nr6ueVVUSNafre","toolName":"bash","content":[{"type":"text","text":"817 /home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py\n"}],"isError":false,"timestamp":1774854114225}}
{"type":"message","id":"9ae6b5bb","parentId":"94ce1f81","timestamp":"2026-03-30T07:01:57.388Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013heAp1rDQEs7EGB9WEK2qG","name":"read","arguments":{"limit":140,"offset":480,"path":"/home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":107,"cacheRead":74955,"cacheWrite":408,"totalTokens":75471,"cost":{"input":0.000005,"output":0.0026750000000000003,"cacheRead":0.0374775,"cacheWrite":0.00255,"total":0.042707499999999995}},"stopReason":"toolUse","timestamp":1774854114225}}
{"type":"message","id":"284f134c","parentId":"9ae6b5bb","timestamp":"2026-03-30T07:01:57.392Z","message":{"role":"toolResult","toolCallId":"toolu_013heAp1rDQEs7EGB9WEK2qG","toolName":"read","content":[{"type":"text","text":"def stage5_synthesis(self, video_id: str) -> str:\n    \"\"\"Synthesize technique pages from classified key moments.\n\n    Groups moments by (creator, topic_category), calls the LLM to synthesize\n    each group into a TechniquePage, creates/updates page rows, and links\n    KeyMoments to their TechniquePage.\n\n    Sets processing_status to 'reviewed' (or 'published' if review_mode is False).\n\n    Returns the video_id for chain compatibility.\n    \"\"\"\n    start = time.monotonic()\n    logger.info(\"Stage 5 (synthesis) starting for video_id=%s\", video_id)\n\n    settings = get_settings()\n    session = _get_sync_session()\n    try:\n        # Load video and moments\n        video = session.execute(\n            select(SourceVideo).where(SourceVideo.id == video_id)\n        ).scalar_one()\n\n        moments = (\n            session.execute(\n                select(KeyMoment)\n                .where(KeyMoment.source_video_id == video_id)\n                .order_by(KeyMoment.start_time)\n            )\n            .scalars()\n            .all()\n        )\n\n        if not moments:\n            logger.info(\"Stage 5: No moments found for video_id=%s, skipping.\", video_id)\n            return video_id\n\n        # Load classification data from stage 4\n        classification_data = _load_classification_data(video_id)\n        cls_by_moment_id = {c[\"moment_id\"]: c for c in classification_data}\n\n        # Group moments by topic_category (from classification)\n        groups: dict[str, list[tuple[KeyMoment, dict]]] = defaultdict(list)\n        for moment in moments:\n            cls_info = cls_by_moment_id.get(str(moment.id), {})\n            category = cls_info.get(\"topic_category\", \"Uncategorized\")\n            groups[category].append((moment, cls_info))\n\n        system_prompt = _load_prompt(\"stage5_synthesis.txt\")\n        llm = _get_llm_client()\n        model_override, modality = _get_stage_config(5)\n        logger.info(\"Stage 5 using model=%s, modality=%s\", model_override or \"default\", modality)\n        pages_created = 0\n\n        for category, moment_group in groups.items():\n            # Build moments text for the LLM\n            moments_lines = []\n            all_tags: set[str] = set()\n            for i, (m, cls_info) in enumerate(moment_group):\n                tags = cls_info.get(\"topic_tags\", [])\n                all_tags.update(tags)\n                moments_lines.append(\n                    f\"[{i}] Title: {m.title}\\n\"\n                    f\"    Summary: {m.summary}\\n\"\n                    f\"    Content type: {m.content_type.value}\\n\"\n                    f\"    Time: {m.start_time:.1f}s - {m.end_time:.1f}s\\n\"\n                    f\"    Plugins: {', '.join(m.plugins) if m.plugins else 'none'}\\n\"\n                    f\"    Category: {category}\\n\"\n                    f\"    Tags: {', '.join(tags) if tags else 'none'}\\n\"\n                    f\"    Transcript excerpt: {(m.raw_transcript or '')[:300]}\"\n                )\n            moments_text = \"\\n\\n\".join(moments_lines)\n\n            user_prompt = f\"<moments>\\n{moments_text}\\n</moments>\"\n\n            raw = llm.complete(system_prompt, user_prompt, response_model=SynthesisResult,\n                               modality=modality, model_override=model_override)\n            result = _safe_parse_llm_response(raw, SynthesisResult, llm, system_prompt, user_prompt,\n                                              modality=modality, model_override=model_override)\n\n            # Create/update TechniquePage rows\n            for page_data in result.pages:\n                # Check if page with this slug already exists\n                existing = session.execute(\n                    select(TechniquePage).where(TechniquePage.slug == page_data.slug)\n                ).scalar_one_or_none()\n\n                if existing:\n                    # Update existing page\n                    existing.title = page_data.title\n                    existing.summary = page_data.summary\n                    existing.body_sections = page_data.body_sections\n                    existing.signal_chains = page_data.signal_chains\n                    existing.plugins = page_data.plugins if page_data.plugins else None\n                    existing.topic_tags = list(all_tags) if all_tags else None\n                    existing.source_quality = page_data.source_quality\n                    page = existing\n                else:\n                    page = TechniquePage(\n                        creator_id=video.creator_id,\n                        title=page_data.title,\n                        slug=page_data.slug,\n                        topic_category=page_data.topic_category or category,\n                        topic_tags=list(all_tags) if all_tags else None,\n                        summary=page_data.summary,\n                        body_sections=page_data.body_sections,\n                        signal_chains=page_data.signal_chains,\n                        plugins=page_data.plugins if page_data.plugins else None,\n                        source_quality=page_data.source_quality,\n                    )\n                    session.add(page)\n                    session.flush()  # Get the page.id assigned\n\n                pages_created += 1\n\n                # Link moments to the technique page\n                for m, _ in moment_group:\n                    m.technique_page_id = page.id\n\n        # Update processing_status\n        if settings.review_mode:\n            video.processing_status = ProcessingStatus.reviewed\n        else:\n            video.processing_status = ProcessingStatus.published\n\n        session.commit()\n        elapsed = time.monotonic() - start\n        logger.info(\n            \"Stage 5 (synthesis) completed for video_id=%s in %.1fs — %d pages created/updated\",\n            video_id, elapsed, pages_created,\n        )\n        return video_id\n\n    except FileNotFoundError:\n        raise\n    except Exception as exc:\n        session.rollback()\n        logger.error(\"Stage 5 failed for video_id=%s: %s\", video_id, exc)\n        raise self.retry(exc=exc)\n    finally:\n        session.close()\n\n[199 more lines in file. Use offset=620 to continue.]"}],"isError":false,"timestamp":1774854117390}}
{"type":"message","id":"bc65f7a0","parentId":"284f134c","timestamp":"2026-03-30T07:02:02.989Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now let me see the existing migration and the frontend technique page component:"},{"type":"toolCall","id":"toolu_01EeRNuEZvZAWwdu6WGzvesZ","name":"read","arguments":{"limit":30,"path":"/home/aux/projects/content-to-kb-automator/alembic/versions/001_initial.py"}},{"type":"toolCall","id":"toolu_01NJDA4sH9LKKvQbWncdRkUG","name":"bash","arguments":{"command":"head -5 /home/aux/projects/content-to-kb-automator/alembic/env.py"}},{"type":"toolCall","id":"toolu_016xDecT5zBa66sJauhJPDjJ","name":"bash","arguments":{"command":"wc -l /home/aux/projects/content-to-kb-automator/frontend/src/pages/TechniquePage.tsx"}},{"type":"toolCall","id":"toolu_01DTXqh4FG5yAqzcdTNWitXn","name":"bash","arguments":{"command":"head -30 /home/aux/projects/content-to-kb-automator/frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":303,"cacheRead":75363,"cacheWrite":1754,"totalTokens":77421,"cost":{"input":0.000005,"output":0.007575,"cacheRead":0.0376815,"cacheWrite":0.0109625,"total":0.056223999999999996}},"stopReason":"toolUse","timestamp":1774854117391}}
{"type":"message","id":"14f23c72","parentId":"bc65f7a0","timestamp":"2026-03-30T07:02:03.007Z","message":{"role":"toolResult","toolCallId":"toolu_01EeRNuEZvZAWwdu6WGzvesZ","toolName":"read","content":[{"type":"text","text":"\"\"\"initial schema — 7 core entities\n\nRevision ID: 001_initial\nRevises:\nCreate Date: 2026-03-29\n\"\"\"\nfrom typing import Sequence, Union\n\nfrom alembic import op\nimport sqlalchemy as sa\nfrom sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID\n\n# revision identifiers, used by Alembic.\nrevision: str = \"001_initial\"\ndown_revision: Union[str, None] = None\nbranch_labels: Union[str, Sequence[str], None] = None\ndepends_on: Union[str, Sequence[str], None] = None\n\n\ndef upgrade() -> None:\n    # ── Enum types ───────────────────────────────────────────────────────\n    content_type = sa.Enum(\n        \"tutorial\", \"livestream\", \"breakdown\", \"short_form\",\n        name=\"content_type\",\n    )\n    processing_status = sa.Enum(\n        \"pending\", \"transcribed\", \"extracted\", \"reviewed\", \"published\",\n        name=\"processing_status\",\n    )\n    key_moment_content_type = sa.Enum(\n\n[142 more lines in file. Use offset=31 to continue.]"}],"isError":false,"timestamp":1774854123007}}
{"type":"message","id":"8e74b4e3","parentId":"14f23c72","timestamp":"2026-03-30T07:02:03.007Z","message":{"role":"toolResult","toolCallId":"toolu_01NJDA4sH9LKKvQbWncdRkUG","toolName":"bash","content":[{"type":"text","text":"\"\"\"Alembic env.py — async migration runner for Chrysopedia.\"\"\"\n\nimport asyncio\nimport os\nimport sys\n"}],"isError":false,"timestamp":1774854123007}}
{"type":"message","id":"c5d0ac6f","parentId":"8e74b4e3","timestamp":"2026-03-30T07:02:03.008Z","message":{"role":"toolResult","toolCallId":"toolu_016xDecT5zBa66sJauhJPDjJ","toolName":"bash","content":[{"type":"text","text":"290 /home/aux/projects/content-to-kb-automator/frontend/src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1774854123007}}
{"type":"message","id":"62fde2b0","parentId":"c5d0ac6f","timestamp":"2026-03-30T07:02:03.010Z","message":{"role":"toolResult","toolCallId":"toolu_01DTXqh4FG5yAqzcdTNWitXn","toolName":"bash","content":[{"type":"text","text":"/**\n * Typed API client for Chrysopedia public endpoints.\n *\n * Mirrors backend schemas: SearchResponse, TechniquePageDetail, TopicCategory, CreatorBrowseItem.\n * Uses the same request<T> pattern as client.ts.\n */\n\n// ── Types ───────────────────────────────────────────────────────────────────\n\nexport interface SearchResultItem {\n  title: string;\n  slug: string;\n  type: string;\n  score: number;\n  summary: string;\n  creator_name: string;\n  creator_slug: string;\n  topic_category: string;\n  topic_tags: string[];\n}\n\nexport interface SearchResponse {\n  items: SearchResultItem[];\n  total: number;\n  query: string;\n  fallback_used: boolean;\n}\n\nexport interface KeyMomentSummary {\n  id: string;\n"}],"isError":false,"timestamp":1774854123007}}
{"type":"message","id":"6c871165","parentId":"62fde2b0","timestamp":"2026-03-30T07:02:07.591Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01GUokQ9Bs1WrujGkaKMtSo7","name":"read","arguments":{"offset":31,"path":"/home/aux/projects/content-to-kb-automator/frontend/src/api/public-client.ts"}},{"type":"toolCall","id":"toolu_01Jah4HponMmSkiqLr1Mfi3g","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/backend/pipeline/ | head -20"}},{"type":"toolCall","id":"toolu_01AQtDJ1aVey4EVU2VDAsP3k","name":"bash","arguments":{"command":"grep -n \"get_settings\\|_get_sync_session\\|_load_prompt\\|_get_llm_client\" /home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":245,"cacheRead":77117,"cacheWrite":975,"totalTokens":78338,"cost":{"input":0.000005,"output":0.006125,"cacheRead":0.038558499999999996,"cacheWrite":0.00609375,"total":0.050782249999999994}},"stopReason":"toolUse","timestamp":1774854123008}}
{"type":"message","id":"d7ecad1c","parentId":"6c871165","timestamp":"2026-03-30T07:02:07.606Z","message":{"role":"toolResult","toolCallId":"toolu_01GUokQ9Bs1WrujGkaKMtSo7","toolName":"read","content":[{"type":"text","text":"  title: string;\n  summary: string;\n  start_time: number;\n  end_time: number;\n  content_type: string;\n  plugins: string[] | null;\n  video_filename: string;\n}\n\nexport interface CreatorInfo {\n  name: string;\n  slug: string;\n  genres: string[] | null;\n}\n\nexport interface RelatedLinkItem {\n  target_title: string;\n  target_slug: string;\n  relationship: string;\n}\n\nexport interface TechniquePageDetail {\n  id: string;\n  title: string;\n  slug: string;\n  topic_category: string;\n  topic_tags: string[] | null;\n  summary: string | null;\n  body_sections: Record<string, unknown> | null;\n  signal_chains: unknown[] | null;\n  plugins: string[] | null;\n  creator_id: string;\n  source_quality: string | null;\n  view_count: number;\n  review_status: string;\n  created_at: string;\n  updated_at: string;\n  key_moments: KeyMomentSummary[];\n  creator_info: CreatorInfo | null;\n  related_links: RelatedLinkItem[];\n}\n\nexport interface TechniqueListItem {\n  id: string;\n  title: string;\n  slug: string;\n  topic_category: string;\n  topic_tags: string[] | null;\n  summary: string | null;\n  creator_id: string;\n  source_quality: string | null;\n  view_count: number;\n  review_status: string;\n  created_at: string;\n  updated_at: string;\n}\n\nexport interface TechniqueListResponse {\n  items: TechniqueListItem[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport interface TopicSubTopic {\n  name: string;\n  technique_count: number;\n  creator_count: number;\n}\n\nexport interface TopicCategory {\n  name: string;\n  description: string;\n  sub_topics: TopicSubTopic[];\n}\n\nexport interface CreatorBrowseItem {\n  id: string;\n  name: string;\n  slug: string;\n  genres: string[] | null;\n  folder_name: string;\n  view_count: number;\n  created_at: string;\n  updated_at: string;\n  technique_count: number;\n  video_count: number;\n}\n\nexport interface CreatorBrowseResponse {\n  items: CreatorBrowseItem[];\n  total: number;\n  offset: number;\n  limit: number;\n}\n\nexport interface CreatorDetailResponse {\n  id: string;\n  name: string;\n  slug: string;\n  genres: string[] | null;\n  folder_name: string;\n  view_count: number;\n  created_at: string;\n  updated_at: string;\n  video_count: number;\n}\n\n// ── Helpers ──────────────────────────────────────────────────────────────────\n\nconst BASE = \"/api/v1\";\n\nclass ApiError extends Error {\n  constructor(\n    public status: number,\n    public detail: string,\n  ) {\n    super(`API ${status}: ${detail}`);\n    this.name = \"ApiError\";\n  }\n}\n\nasync function request<T>(url: string, init?: RequestInit): Promise<T> {\n  const res = await fetch(url, {\n    ...init,\n    headers: {\n      \"Content-Type\": \"application/json\",\n      ...init?.headers,\n    },\n  });\n\n  if (!res.ok) {\n    let detail = res.statusText;\n    try {\n      const body: unknown = await res.json();\n      if (typeof body === \"object\" && body !== null && \"detail\" in body) {\n        detail = String((body as { detail: unknown }).detail);\n      }\n    } catch {\n      // body not JSON — keep statusText\n    }\n    throw new ApiError(res.status, detail);\n  }\n\n  return res.json() as Promise<T>;\n}\n\n// ── Search ───────────────────────────────────────────────────────────────────\n\nexport async function searchApi(\n  q: string,\n  scope?: string,\n  limit?: number,\n): Promise<SearchResponse> {\n  const qs = new URLSearchParams({ q });\n  if (scope) qs.set(\"scope\", scope);\n  if (limit !== undefined) qs.set(\"limit\", String(limit));\n  return request<SearchResponse>(`${BASE}/search?${qs.toString()}`);\n}\n\n// ── Techniques ───────────────────────────────────────────────────────────────\n\nexport interface TechniqueListParams {\n  limit?: number;\n  offset?: number;\n  category?: string;\n  creator_slug?: string;\n}\n\nexport async function fetchTechniques(\n  params: TechniqueListParams = {},\n): Promise<TechniqueListResponse> {\n  const qs = new URLSearchParams();\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  if (params.category) qs.set(\"category\", params.category);\n  if (params.creator_slug) qs.set(\"creator_slug\", params.creator_slug);\n  const query = qs.toString();\n  return request<TechniqueListResponse>(\n    `${BASE}/techniques${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function fetchTechnique(\n  slug: string,\n): Promise<TechniquePageDetail> {\n  return request<TechniquePageDetail>(`${BASE}/techniques/${slug}`);\n}\n\n// ── Topics ───────────────────────────────────────────────────────────────────\n\nexport async function fetchTopics(): Promise<TopicCategory[]> {\n  return request<TopicCategory[]>(`${BASE}/topics`);\n}\n\n// ── Creators ─────────────────────────────────────────────────────────────────\n\nexport interface CreatorListParams {\n  sort?: string;\n  genre?: string;\n  limit?: number;\n  offset?: number;\n}\n\nexport async function fetchCreators(\n  params: CreatorListParams = {},\n): Promise<CreatorBrowseResponse> {\n  const qs = new URLSearchParams();\n  if (params.sort) qs.set(\"sort\", params.sort);\n  if (params.genre) qs.set(\"genre\", params.genre);\n  if (params.limit !== undefined) qs.set(\"limit\", String(params.limit));\n  if (params.offset !== undefined) qs.set(\"offset\", String(params.offset));\n  const query = qs.toString();\n  return request<CreatorBrowseResponse>(\n    `${BASE}/creators${query ? `?${query}` : \"\"}`,\n  );\n}\n\nexport async function fetchCreator(\n  slug: string,\n): Promise<CreatorDetailResponse> {\n  return request<CreatorDetailResponse>(`${BASE}/creators/${slug}`);\n}\n"}],"isError":false,"timestamp":1774854127605}}
{"type":"message","id":"d5e2bfcb","parentId":"d7ecad1c","timestamp":"2026-03-30T07:02:07.606Z","message":{"role":"toolResult","toolCallId":"toolu_01Jah4HponMmSkiqLr1Mfi3g","toolName":"bash","content":[{"type":"text","text":"embedding_client.py\n__init__.py\nllm_client.py\n__pycache__\nqdrant_client.py\nschemas.py\nstages.py\n"}],"isError":false,"timestamp":1774854127605}}
{"type":"message","id":"7ac5b5d7","parentId":"d5e2bfcb","timestamp":"2026-03-30T07:02:07.609Z","message":{"role":"toolResult","toolCallId":"toolu_01AQtDJ1aVey4EVU2VDAsP3k","toolName":"bash","content":[{"type":"text","text":"24:from config import get_settings\n56:        settings = get_settings()\n64:def _get_sync_session() -> Session:\n72:def _load_prompt(template_name: str) -> str:\n77:    settings = get_settings()\n85:def _get_llm_client() -> LLMClient:\n87:    return LLMClient(get_settings())\n97:    settings = get_settings()\n177:    session = _get_sync_session()\n203:        system_prompt = _load_prompt(\"stage2_segmentation.txt\")\n206:        llm = _get_llm_client()\n253:    session = _get_sync_session()\n276:        system_prompt = _load_prompt(\"stage3_extraction.txt\")\n277:        llm = _get_llm_client()\n363:    session = _get_sync_session()\n397:        system_prompt = _load_prompt(\"stage4_classification.txt\")\n403:        llm = _get_llm_client()\n458:    settings = get_settings()\n468:    settings = get_settings()\n494:    settings = get_settings()\n"}],"isError":false,"timestamp":1774854127608}}
{"type":"message","id":"7b4f1128","parentId":"7ac5b5d7","timestamp":"2026-03-30T07:02:12.621Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me check if prompt files exist on disk and understand the settings model:"},{"type":"toolCall","id":"toolu_01TiX7z8jWGtctwk5n5xskoY","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/prompts/ 2>/dev/null || echo \"No prompts dir\""}},{"type":"toolCall","id":"toolu_01FrXGEpKgAJrK2o4B3oNqui","name":"bash","arguments":{"command":"grep -n \"prompts_path\\|model\\|primary_llm\\|fallback_llm\\|embedding_model\" /home/aux/projects/content-to-kb-automator/backend/config.py | head -20"}},{"type":"toolCall","id":"toolu_011sJRyXGoj7Hbx2cvcV1RQZ","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/backend/tests/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":245,"cacheRead":78092,"cacheWrite":2396,"totalTokens":80734,"cost":{"input":0.000005,"output":0.006125,"cacheRead":0.039046,"cacheWrite":0.014975,"total":0.060150999999999996}},"stopReason":"toolUse","timestamp":1774854127608}}
{"type":"message","id":"4e733c97","parentId":"7b4f1128","timestamp":"2026-03-30T07:02:12.642Z","message":{"role":"toolResult","toolCallId":"toolu_01TiX7z8jWGtctwk5n5xskoY","toolName":"bash","content":[{"type":"text","text":"README.md\nstage2_segmentation.txt\nstage3_extraction.txt\nstage4_classification.txt\nstage5_synthesis.txt\n"}],"isError":false,"timestamp":1774854132642}}
{"type":"message","id":"31ca9e94","parentId":"4e733c97","timestamp":"2026-03-30T07:02:12.643Z","message":{"role":"toolResult","toolCallId":"toolu_01FrXGEpKgAJrK2o4B3oNqui","toolName":"bash","content":[{"type":"text","text":"32:    llm_model: str = \"fyn-llm-agent-chat\"\n34:    llm_fallback_model: str = \"fyn-llm-agent-chat\"\n36:    # Per-stage model overrides (optional — falls back to llm_model / \"chat\")\n37:    llm_stage2_model: str | None = \"fyn-llm-agent-chat\"   # segmentation — mechanical, fast chat\n39:    llm_stage3_model: str | None = \"fyn-llm-agent-think\"  # extraction — reasoning\n41:    llm_stage4_model: str | None = \"fyn-llm-agent-chat\"   # classification — mechanical, fast chat\n43:    llm_stage5_model: str | None = \"fyn-llm-agent-think\"  # synthesis — reasoning\n51:    embedding_model: str = \"nomic-embed-text\"\n59:    prompts_path: str = \"./prompts\"\n68:    model_config = {\n"}],"isError":false,"timestamp":1774854132642}}
{"type":"message","id":"b19ed9ed","parentId":"31ca9e94","timestamp":"2026-03-30T07:02:12.647Z","message":{"role":"toolResult","toolCallId":"toolu_011sJRyXGoj7Hbx2cvcV1RQZ","toolName":"bash","content":[{"type":"text","text":"conftest.py\nfixtures\n__init__.py\n__pycache__\ntest_ingest.py\ntest_pipeline.py\ntest_public_api.py\ntest_review.py\ntest_search.py\n"}],"isError":false,"timestamp":1774854132645}}
{"type":"message","id":"d3d25089","parentId":"b19ed9ed","timestamp":"2026-03-30T07:02:15.918Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01F8btbHyuZYcXUngMhRm2fT","name":"read","arguments":{"limit":30,"offset":50,"path":"/home/aux/projects/content-to-kb-automator/backend/pipeline/stages.py"}},{"type":"toolCall","id":"toolu_01NPWpj2aJRzTNEpNqWJJ5pS","name":"bash","arguments":{"command":"grep -n \"get_settings\\|_get_stage_config\\|class Settings\" /home/aux/projects/content-to-kb-automator/backend/config.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":186,"cacheRead":80488,"cacheWrite":663,"totalTokens":81338,"cost":{"input":0.000005,"output":0.0046500000000000005,"cacheRead":0.040243999999999995,"cacheWrite":0.00414375,"total":0.049042749999999996}},"stopReason":"toolUse","timestamp":1774854132646}}
{"type":"message","id":"8020dfa1","parentId":"d3d25089","timestamp":"2026-03-30T07:02:15.928Z","message":{"role":"toolResult","toolCallId":"toolu_01F8btbHyuZYcXUngMhRm2fT","toolName":"read","content":[{"type":"text","text":"\n\ndef _get_sync_engine():\n    \"\"\"Create a sync SQLAlchemy engine, converting the async URL if needed.\"\"\"\n    global _engine\n    if _engine is None:\n        settings = get_settings()\n        url = settings.database_url\n        # Convert async driver to sync driver\n        url = url.replace(\"postgresql+asyncpg://\", \"postgresql+psycopg2://\")\n        _engine = create_engine(url, pool_pre_ping=True, pool_size=5, max_overflow=10)\n    return _engine\n\n\ndef _get_sync_session() -> Session:\n    \"\"\"Create a sync SQLAlchemy session for Celery tasks.\"\"\"\n    global _SessionLocal\n    if _SessionLocal is None:\n        _SessionLocal = sessionmaker(bind=_get_sync_engine())\n    return _SessionLocal()\n\n\ndef _load_prompt(template_name: str) -> str:\n    \"\"\"Read a prompt template from the prompts directory.\n\n    Raises FileNotFoundError if the template does not exist.\n    \"\"\"\n    settings = get_settings()\n    path = Path(settings.prompts_path) / template_name\n    if not path.exists():\n\n[739 more lines in file. Use offset=80 to continue.]"}],"isError":false,"timestamp":1774854135927}}
{"type":"message","id":"bcfe268b","parentId":"8020dfa1","timestamp":"2026-03-30T07:02:15.931Z","message":{"role":"toolResult","toolCallId":"toolu_01NPWpj2aJRzTNEpNqWJJ5pS","toolName":"bash","content":[{"type":"text","text":"8:class Settings(BaseSettings):\n76:def get_settings() -> Settings:\n"}],"isError":false,"timestamp":1774854135930}}
{"type":"message","id":"57a6968e","parentId":"bcfe268b","timestamp":"2026-03-30T07:02:19.702Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_012kfQCReejTb9bwF4MJJePz","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/config.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":71,"cacheRead":81151,"cacheWrite":560,"totalTokens":81783,"cost":{"input":0.000005,"output":0.001775,"cacheRead":0.0405755,"cacheWrite":0.0035,"total":0.0458555}},"stopReason":"toolUse","timestamp":1774854135930}}
{"type":"message","id":"026f8954","parentId":"57a6968e","timestamp":"2026-03-30T07:02:19.705Z","message":{"role":"toolResult","toolCallId":"toolu_012kfQCReejTb9bwF4MJJePz","toolName":"read","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    # Max tokens for LLM responses (OpenWebUI defaults to 1000 which truncates pipeline JSON)\n    llm_max_tokens: int = 65536\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    # File storage\n    transcript_storage_path: str = \"/data/transcripts\"\n    video_metadata_path: str = \"/data/video_meta\"\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":1774854139704}}
{"type":"message","id":"d7894a7d","parentId":"026f8954","timestamp":"2026-03-30T07:02:24.063Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me read the templates:"},{"type":"toolCall","id":"toolu_016FJXNhS3MsbQTck12KHkru","name":"read","arguments":{"path":"/home/aux/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_01HFRmAaxQ5ogBJ2zyMbybfX","name":"read","arguments":{"path":"/home/aux/.gsd/agent/extensions/gsd/templates/task-plan.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":133,"cacheRead":81151,"cacheWrite":1465,"totalTokens":82750,"cost":{"input":0.000005,"output":0.0033250000000000003,"cacheRead":0.0405755,"cacheWrite":0.009156250000000001,"total":0.053061750000000005}},"stopReason":"toolUse","timestamp":1774854139704}}
{"type":"message","id":"6ca8fcb6","parentId":"d7894a7d","timestamp":"2026-03-30T07:02:24.066Z","message":{"role":"toolResult","toolCallId":"toolu_016FJXNhS3MsbQTck12KHkru","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":1774854144065}}
{"type":"message","id":"f6835601","parentId":"6ca8fcb6","timestamp":"2026-03-30T07:02:24.068Z","message":{"role":"toolResult","toolCallId":"toolu_01HFRmAaxQ5ogBJ2zyMbybfX","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":1774854144067}}
{"type":"message","id":"ad9e6396","parentId":"f6835601","timestamp":"2026-03-30T07:02:28.683Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. I now have a solid picture of the codebase. Let me also quickly check the frontend TechniquePage to understand what the frontend version display would be added to:"},{"type":"toolCall","id":"toolu_018Q7Bt7ZvDPKg7R1zYzxZLA","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/frontend/src/pages/TechniquePage.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":116,"cacheRead":82616,"cacheWrite":2741,"totalTokens":85474,"cost":{"input":0.000005,"output":0.0029000000000000002,"cacheRead":0.041308,"cacheWrite":0.01713125,"total":0.061344249999999996}},"stopReason":"toolUse","timestamp":1774854144068}}
{"type":"message","id":"13ccc1de","parentId":"ad9e6396","timestamp":"2026-03-30T07:02:28.688Z","message":{"role":"toolResult","toolCallId":"toolu_018Q7Bt7ZvDPKg7R1zYzxZLA","toolName":"read","content":[{"type":"text","text":"/**\n * Technique page detail view.\n *\n * Fetches a single technique by slug. Renders:\n * - Header with title, category badge, tags, creator link, source quality\n * - Amber banner for unstructured (livestream-sourced) content\n * - Study guide prose from body_sections JSONB\n * - Key moments index\n * - Signal chains (if present)\n * - Plugins referenced (if present)\n * - Related techniques (if present)\n * - Loading and 404 states\n */\n\nimport { useEffect, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n  fetchTechnique,\n  type TechniquePageDetail as TechniqueDetail,\n} from \"../api/public-client\";\n\nfunction formatTime(seconds: number): string {\n  const m = Math.floor(seconds / 60);\n  const s = Math.floor(seconds % 60);\n  return `${m}:${s.toString().padStart(2, \"0\")}`;\n}\n\nexport default function TechniquePage() {\n  const { slug } = useParams<{ slug: string }>();\n  const [technique, setTechnique] = useState<TechniqueDetail | null>(null);\n  const [loading, setLoading] = useState(true);\n  const [notFound, setNotFound] = useState(false);\n  const [error, setError] = useState<string | null>(null);\n\n  useEffect(() => {\n    if (!slug) return;\n\n    let cancelled = false;\n    setLoading(true);\n    setNotFound(false);\n    setError(null);\n\n    void (async () => {\n      try {\n        const data = await fetchTechnique(slug);\n        if (!cancelled) setTechnique(data);\n      } catch (err) {\n        if (!cancelled) {\n          if (\n            err instanceof Error &&\n            err.message.includes(\"404\")\n          ) {\n            setNotFound(true);\n          } else {\n            setError(\n              err instanceof Error ? err.message : \"Failed to load technique\",\n            );\n          }\n        }\n      } finally {\n        if (!cancelled) setLoading(false);\n      }\n    })();\n\n    return () => {\n      cancelled = true;\n    };\n  }, [slug]);\n\n  if (loading) {\n    return <div className=\"loading\">Loading technique…</div>;\n  }\n\n  if (notFound) {\n    return (\n      <div className=\"technique-404\">\n        <h2>Technique Not Found</h2>\n        <p>The technique \"{slug}\" doesn't exist.</p>\n        <Link to=\"/\" className=\"btn\">\n          Back to Home\n        </Link>\n      </div>\n    );\n  }\n\n  if (error || !technique) {\n    return (\n      <div className=\"loading error-text\">\n        Error: {error ?? \"Unknown error\"}\n      </div>\n    );\n  }\n\n  return (\n    <article className=\"technique-page\">\n      {/* Back link */}\n      <Link to=\"/\" className=\"back-link\">\n        ← Back\n      </Link>\n\n      {/* Unstructured content warning */}\n      {technique.source_quality === \"unstructured\" && (\n        <div className=\"technique-banner technique-banner--amber\">\n          ⚠ This technique was sourced from a livestream and may have less\n          structured content.\n        </div>\n      )}\n\n      {/* Header */}\n      <header className=\"technique-header\">\n        <h1 className=\"technique-header__title\">{technique.title}</h1>\n        <div className=\"technique-header__meta\">\n          <span className=\"badge badge--category\">\n            {technique.topic_category}\n          </span>\n          {technique.topic_tags && technique.topic_tags.length > 0 && (\n            <span className=\"technique-header__tags\">\n              {technique.topic_tags.map((tag) => (\n                <span key={tag} className=\"pill\">\n                  {tag}\n                </span>\n              ))}\n            </span>\n          )}\n          {technique.creator_info && (\n            <Link\n              to={`/creators/${technique.creator_info.slug}`}\n              className=\"technique-header__creator\"\n            >\n              by {technique.creator_info.name}\n            </Link>\n          )}\n          {technique.source_quality && (\n            <span\n              className={`badge badge--quality badge--quality-${technique.source_quality}`}\n            >\n              {technique.source_quality}\n            </span>\n          )}\n        </div>\n        {/* Meta stats line */}\n        <div className=\"technique-header__stats\">\n          {(() => {\n            const sourceCount = new Set(\n              technique.key_moments\n                .map((km) => km.video_filename)\n                .filter(Boolean),\n            ).size;\n            const momentCount = technique.key_moments.length;\n            const updated = new Date(technique.updated_at).toLocaleDateString(\n              \"en-US\",\n              { year: \"numeric\", month: \"short\", day: \"numeric\" },\n            );\n            return `Compiled from ${sourceCount} source${sourceCount !== 1 ? \"s\" : \"\"} · ${momentCount} key moment${momentCount !== 1 ? \"s\" : \"\"} · Last updated ${updated}`;\n          })()}\n        </div>\n      </header>\n\n      {/* Summary */}\n      {technique.summary && (\n        <section className=\"technique-summary\">\n          <p>{technique.summary}</p>\n        </section>\n      )}\n\n      {/* Study guide prose — body_sections */}\n      {technique.body_sections &&\n        Object.keys(technique.body_sections).length > 0 && (\n          <section className=\"technique-prose\">\n            {Object.entries(technique.body_sections).map(\n              ([sectionTitle, content]) => (\n                <div key={sectionTitle} className=\"technique-prose__section\">\n                  <h2>{sectionTitle}</h2>\n                  {typeof content === \"string\" ? (\n                    <p>{content}</p>\n                  ) : typeof content === \"object\" && content !== null ? (\n                    <pre className=\"technique-prose__json\">\n                      {JSON.stringify(content, null, 2)}\n                    </pre>\n                  ) : (\n                    <p>{String(content)}</p>\n                  )}\n                </div>\n              ),\n            )}\n          </section>\n        )}\n\n      {/* Key moments */}\n      {technique.key_moments.length > 0 && (\n        <section className=\"technique-moments\">\n          <h2>Key Moments</h2>\n          <ol className=\"technique-moments__list\">\n            {technique.key_moments.map((km) => (\n              <li key={km.id} className=\"technique-moment\">\n                <div className=\"technique-moment__header\">\n                  <span className=\"technique-moment__title\">{km.title}</span>\n                  {km.video_filename && (\n                    <span className=\"technique-moment__source\">\n                      {km.video_filename}\n                    </span>\n                  )}\n                  <span className=\"technique-moment__time\">\n                    {formatTime(km.start_time)} – {formatTime(km.end_time)}\n                  </span>\n                  <span className=\"badge badge--content-type\">\n                    {km.content_type}\n                  </span>\n                </div>\n                <p className=\"technique-moment__summary\">{km.summary}</p>\n              </li>\n            ))}\n          </ol>\n        </section>\n      )}\n\n      {/* Signal chains */}\n      {technique.signal_chains &&\n        technique.signal_chains.length > 0 && (\n          <section className=\"technique-chains\">\n            <h2>Signal Chains</h2>\n            {technique.signal_chains.map((chain, i) => {\n              const chainObj = chain as Record<string, unknown>;\n              const chainName =\n                typeof chainObj[\"name\"] === \"string\"\n                  ? chainObj[\"name\"]\n                  : `Chain ${i + 1}`;\n              const steps = Array.isArray(chainObj[\"steps\"])\n                ? (chainObj[\"steps\"] as string[])\n                : [];\n              return (\n                <div key={i} className=\"technique-chain\">\n                  <h3>{chainName}</h3>\n                  {steps.length > 0 && (\n                    <div className=\"technique-chain__flow\">\n                      {steps.map((step, j) => (\n                        <span key={j}>\n                          {j > 0 && (\n                            <span className=\"technique-chain__arrow\">\n                              {\" → \"}\n                            </span>\n                          )}\n                          <span className=\"technique-chain__step\">\n                            {String(step)}\n                          </span>\n                        </span>\n                      ))}\n                    </div>\n                  )}\n                </div>\n              );\n            })}\n          </section>\n        )}\n\n      {/* Plugins */}\n      {technique.plugins && technique.plugins.length > 0 && (\n        <section className=\"technique-plugins\">\n          <h2>Plugins Referenced</h2>\n          <div className=\"pill-list\">\n            {technique.plugins.map((plugin) => (\n              <span key={plugin} className=\"pill pill--plugin\">\n                {plugin}\n              </span>\n            ))}\n          </div>\n        </section>\n      )}\n\n      {/* Related techniques */}\n      {technique.related_links.length > 0 && (\n        <section className=\"technique-related\">\n          <h2>Related Techniques</h2>\n          <ul className=\"technique-related__list\">\n            {technique.related_links.map((link) => (\n              <li key={link.target_slug}>\n                <Link to={`/techniques/${link.target_slug}`}>\n                  {link.target_title}\n                </Link>\n                <span className=\"technique-related__rel\">\n                  ({link.relationship})\n                </span>\n              </li>\n            ))}\n          </ul>\n        </section>\n      )}\n    </article>\n  );\n}\n"}],"isError":false,"timestamp":1774854148686}}
{"type":"message","id":"8f91612e","parentId":"13ccc1de","timestamp":"2026-03-30T07:02:32.028Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the test fixtures/conftest for patterns:"},{"type":"toolCall","id":"toolu_012PoofdfbECW2PFK516u8bu","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/tests/conftest.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":88,"cacheRead":85357,"cacheWrite":2646,"totalTokens":88092,"cost":{"input":0.000005,"output":0.0022,"cacheRead":0.0426785,"cacheWrite":0.0165375,"total":0.061421}},"stopReason":"toolUse","timestamp":1774854148687}}
{"type":"message","id":"6645795d","parentId":"8f91612e","timestamp":"2026-03-30T07:02:32.033Z","message":{"role":"toolResult","toolCallId":"toolu_012PoofdfbECW2PFK516u8bu","toolName":"read","content":[{"type":"text","text":"\"\"\"Shared fixtures for Chrysopedia integration tests.\n\nProvides:\n- Async SQLAlchemy engine/session against a real PostgreSQL test database\n- Sync SQLAlchemy engine/session for pipeline stage tests (Celery stages are sync)\n- httpx.AsyncClient wired to the FastAPI app with dependency overrides\n- Pre-ingest fixture for pipeline tests\n- Sample transcript fixture path and temporary storage directory\n\nKey design choice: function-scoped engine with NullPool avoids asyncpg\n\"another operation in progress\" errors caused by session-scoped connection\nreuse between the ASGI test client and verification queries.\n\"\"\"\n\nimport json\nimport os\nimport pathlib\nimport uuid\n\nimport pytest\nimport pytest_asyncio\nfrom httpx import ASGITransport, AsyncClient\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine\nfrom sqlalchemy.orm import Session, sessionmaker\nfrom sqlalchemy.pool import NullPool\n\n# Ensure backend/ is on sys.path so \"from models import ...\" works\nimport sys\nsys.path.insert(0, str(pathlib.Path(__file__).resolve().parent.parent))\n\nfrom database import Base, get_session  # noqa: E402\nfrom main import app  # noqa: E402\nfrom models import (  # noqa: E402\n    ContentType,\n    Creator,\n    ProcessingStatus,\n    SourceVideo,\n    TranscriptSegment,\n)\n\nTEST_DATABASE_URL = os.getenv(\n    \"TEST_DATABASE_URL\",\n    \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia_test\",\n)\n\nTEST_DATABASE_URL_SYNC = TEST_DATABASE_URL.replace(\n    \"postgresql+asyncpg://\", \"postgresql+psycopg2://\"\n)\n\n\n@pytest_asyncio.fixture()\nasync def db_engine():\n    \"\"\"Create a per-test async engine (NullPool) and create/drop all tables.\"\"\"\n    engine = create_async_engine(TEST_DATABASE_URL, echo=False, poolclass=NullPool)\n\n    # Create all tables fresh for each test\n    async with engine.begin() as conn:\n        await conn.run_sync(Base.metadata.drop_all)\n        await conn.run_sync(Base.metadata.create_all)\n\n    yield engine\n\n    # Drop all tables after test\n    async with engine.begin() as conn:\n        await conn.run_sync(Base.metadata.drop_all)\n\n    await engine.dispose()\n\n\n@pytest_asyncio.fixture()\nasync def client(db_engine, tmp_path):\n    \"\"\"Async HTTP test client wired to FastAPI with dependency overrides.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n\n    async def _override_get_session():\n        async with session_factory() as session:\n            yield session\n\n    # Override DB session dependency\n    app.dependency_overrides[get_session] = _override_get_session\n\n    # Override transcript_storage_path via environment variable\n    os.environ[\"TRANSCRIPT_STORAGE_PATH\"] = str(tmp_path)\n    # Clear the lru_cache so Settings picks up the new env var\n    from config import get_settings\n    get_settings.cache_clear()\n\n    transport = ASGITransport(app=app)\n    async with AsyncClient(transport=transport, base_url=\"http://testserver\") as ac:\n        yield ac\n\n    # Teardown: clean overrides and restore settings cache\n    app.dependency_overrides.clear()\n    os.environ.pop(\"TRANSCRIPT_STORAGE_PATH\", None)\n    get_settings.cache_clear()\n\n\n@pytest.fixture()\ndef sample_transcript_path() -> pathlib.Path:\n    \"\"\"Path to the sample 5-segment transcript JSON fixture.\"\"\"\n    return pathlib.Path(__file__).parent / \"fixtures\" / \"sample_transcript.json\"\n\n\n@pytest.fixture()\ndef tmp_transcript_dir(tmp_path) -> pathlib.Path:\n    \"\"\"Temporary directory for transcript storage during tests.\"\"\"\n    return tmp_path\n\n\n# ── Sync engine/session for pipeline stages ──────────────────────────────────\n\n\n@pytest.fixture()\ndef sync_engine(db_engine):\n    \"\"\"Create a sync SQLAlchemy engine pointing at the test database.\n\n    Tables are already created/dropped by the async ``db_engine`` fixture,\n    so this fixture just wraps a sync engine around the same DB URL.\n    \"\"\"\n    engine = create_engine(TEST_DATABASE_URL_SYNC, echo=False, poolclass=NullPool)\n    yield engine\n    engine.dispose()\n\n\n@pytest.fixture()\ndef sync_session(sync_engine) -> Session:\n    \"\"\"Create a sync SQLAlchemy session for pipeline stage tests.\"\"\"\n    factory = sessionmaker(bind=sync_engine)\n    session = factory()\n    yield session\n    session.close()\n\n\n# ── Pre-ingest fixture for pipeline tests ────────────────────────────────────\n\n\n@pytest.fixture()\ndef pre_ingested_video(sync_engine):\n    \"\"\"Ingest the sample transcript directly into the test DB via sync ORM.\n\n    Returns a dict with ``video_id``, ``creator_id``, and ``segment_count``.\n    \"\"\"\n    factory = sessionmaker(bind=sync_engine)\n    session = factory()\n    try:\n        # Create creator\n        creator = Creator(\n            name=\"Skope\",\n            slug=\"skope\",\n            folder_name=\"Skope\",\n        )\n        session.add(creator)\n        session.flush()\n\n        # Create video\n        video = SourceVideo(\n            creator_id=creator.id,\n            filename=\"mixing-basics-ep1.mp4\",\n            file_path=\"Skope/mixing-basics-ep1.mp4\",\n            duration_seconds=1234,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.transcribed,\n        )\n        session.add(video)\n        session.flush()\n\n        # Create transcript segments\n        sample = pathlib.Path(__file__).parent / \"fixtures\" / \"sample_transcript.json\"\n        data = json.loads(sample.read_text())\n        for idx, seg in enumerate(data[\"segments\"]):\n            session.add(TranscriptSegment(\n                source_video_id=video.id,\n                start_time=float(seg[\"start\"]),\n                end_time=float(seg[\"end\"]),\n                text=str(seg[\"text\"]),\n                segment_index=idx,\n            ))\n\n        session.commit()\n\n        result = {\n            \"video_id\": str(video.id),\n            \"creator_id\": str(creator.id),\n            \"segment_count\": len(data[\"segments\"]),\n        }\n    finally:\n        session.close()\n\n    return result\n"}],"isError":false,"timestamp":1774854152030}}
{"type":"message","id":"14cf9aa9","parentId":"6645795d","timestamp":"2026-03-30T07:02:35.428Z","message":{"role":"assistant","content":[{"type":"text","text":"I have a thorough understanding of the codebase now. Let me look at the test files for the existing test patterns:"},{"type":"toolCall","id":"toolu_01LoctskuTPopyt5iXejuuPh","name":"bash","arguments":{"command":"head -50 /home/aux/projects/content-to-kb-automator/backend/tests/test_public_api.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":109,"cacheRead":88003,"cacheWrite":1762,"totalTokens":89875,"cost":{"input":0.000005,"output":0.002725,"cacheRead":0.0440015,"cacheWrite":0.0110125,"total":0.057744}},"stopReason":"toolUse","timestamp":1774854152031}}
{"type":"message","id":"d4f822f5","parentId":"14cf9aa9","timestamp":"2026-03-30T07:02:35.440Z","message":{"role":"toolResult","toolCallId":"toolu_01LoctskuTPopyt5iXejuuPh","toolName":"bash","content":[{"type":"text","text":"\"\"\"Integration tests for the public S05 API endpoints:\ntechniques, topics, and enhanced creators.\n\nTests run against a real PostgreSQL test database via httpx.AsyncClient.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\n\nimport pytest\nimport pytest_asyncio\nfrom httpx import AsyncClient\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker\n\nfrom models import (\n    ContentType,\n    Creator,\n    KeyMoment,\n    KeyMomentContentType,\n    ProcessingStatus,\n    RelatedTechniqueLink,\n    RelationshipType,\n    SourceVideo,\n    TechniquePage,\n)\n\nTECHNIQUES_URL = \"/api/v1/techniques\"\nTOPICS_URL = \"/api/v1/topics\"\nCREATORS_URL = \"/api/v1/creators\"\n\n\n# ── Seed helpers ─────────────────────────────────────────────────────────────\n\n\nasync def _seed_full_data(db_engine) -> dict:\n    \"\"\"Seed 2 creators, 2 videos, 3 technique pages, key moments, and a related link.\n\n    Returns a dict of IDs and metadata for assertions.\n    \"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        # Creators\n        creator1 = Creator(\n            name=\"Alpha Creator\",\n            slug=\"alpha-creator\",\n            genres=[\"Bass music\", \"Dubstep\"],\n            folder_name=\"AlphaCreator\",\n"}],"isError":false,"timestamp":1774854155438}}
{"type":"message","id":"54df8d29","parentId":"d4f822f5","timestamp":"2026-03-30T07:04:11.494Z","message":{"role":"assistant","content":[{"type":"text","text":"I have enough context. Let me now plan this slice.\n\n**Decomposition reasoning:**\n\nThe research doc identified 5 tasks, but I can consolidate this down to 3. Here's my thinking:\n\n1. **Model + Migration + Stage 5 versioning hook** (T01) — The model and migration are trivial boilerplate (~15 min), and the stage 5 hook is the riskiest part. Combining them makes sense because the executor needs the model to write the hook, and the hook is the only reason the model exists. Keeping them together means the executor can test the full write path in one pass.\n\n2. **API endpoints + schemas + integration tests** (T02) — The version list/detail endpoints are straightforward read-only FastAPI endpoints. The schemas, endpoints, and their tests are tightly coupled. Testing is the verification for this task.\n\n3. **Frontend version display + build verification** (T03) — Light frontend work adding version count to the technique detail page and API client types.\n\nThis is a high-risk slice (pipeline write-path modification) but the scope is well-bounded. Three tasks, each completable in a single context window."},{"type":"toolCall","id":"toolu_01Qt4r8JfUELToULipWXHgVd","name":"gsd_plan_slice","arguments":{"goal":"Technique pages track version history with pipeline metadata; re-running stage 5 snapshots the previous content before overwriting; API returns version list and version detail; frontend shows version count.","integrationClosure":"Upstream: TechniquePage model, stage5_synthesis upsert, technique detail endpoint/schemas, frontend TechniquePage component. New wiring: TechniquePageVersion model → migration → stage 5 snapshot → API version endpoints → frontend display. Final slice in M004.","milestoneId":"M004","observabilityImpact":"Stage 5 logs version snapshot creation at INFO level. Version count queryable via SQL and API. Versioning failures logged but do not block page update.","proofLevel":"integration","sliceId":"S04","successCriteria":"**Goal:** Technique pages track version history with pipeline metadata; re-running stage 5 snapshots the previous content before overwriting; API returns version list and version detail; frontend shows version count.\n**Demo:** Re-run stage 5 for a video → technique_page_versions table gains a snapshot row with content_snapshot and pipeline_metadata JSONB. GET /techniques/{slug}/versions returns the version list. Technique page UI shows version count.\n\n## Must-Haves\n\n- `technique_page_versions` table exists in PostgreSQL with correct columns (id, technique_page_id FK, version_number, content_snapshot JSONB, pipeline_metadata JSONB, created_at)\n- Stage 5 synthesis snapshots existing page content + pipeline metadata into a version row BEFORE overwriting the live page\n- Pipeline metadata captures model names, prompt file SHA-256 hashes, and stage settings at runtime\n- GET /techniques/{slug}/versions returns version list sorted by version_number desc\n- GET /techniques/{slug}/versions/{version_number} returns full content snapshot\n- TechniquePageDetail response includes version_count field\n- Frontend technique page shows version count in meta stats line\n- All existing tests pass (no regressions)\n\n## Threat Surface\n\n- **Abuse**: Version endpoints are read-only, no auth required (single-admin tool). No parameter tampering risk beyond invalid slug/version_number which return 404.\n- **Data exposure**: Content snapshots contain only technique page content (no PII, no secrets). Pipeline metadata contains model names and file hashes (non-sensitive).\n- **Input trust**: No user input reaches the versioning write path — snapshots are triggered only by the internal pipeline. API endpoints accept slug (string) and version_number (int) validated by FastAPI path params.\n\n## Requirement Impact\n\n- **Requirements touched**: R006 (Technique Page Display — adding version_count to the detail response and version count to the UI)\n- **Re-verify**: Technique detail endpoint still returns correct TechniquePageDetail shape; existing frontend still renders without errors\n- **Decisions revisited**: None\n\n## Proof Level\n\n- This slice proves: integration (DB migration, pipeline write path, API read path, frontend display)\n- Real runtime required: yes (PostgreSQL, stage 5 sync session)\n- Human/UAT required: no\n\n## Verification\n\n- `alembic upgrade head` succeeds; `technique_page_versions` table exists with correct columns\n- Integration test: stage 5 creates a version row when updating an existing technique page\n- Integration test: GET /techniques/{slug}/versions returns version list\n- Integration test: GET /techniques/{slug}/versions/{version_number} returns content snapshot\n- Integration test: GET /techniques/{slug} includes version_count field\n- `cd frontend && npm run build` exits 0 with zero TypeScript errors\n- All existing tests in test_pipeline.py, test_public_api.py pass (no regressions)\n\n## Observability / Diagnostics\n\n- Runtime signals: Stage 5 logs version snapshot creation (version_number, technique_page slug, pipeline metadata summary) at INFO level\n- Inspection surfaces: `SELECT count(*) FROM technique_page_versions WHERE technique_page_id = X` to check version count; API endpoint GET /techniques/{slug}/versions for HTTP-level inspection\n- Failure visibility: Stage 5 logs ERROR if version snapshot INSERT fails (but does not block page update — versioning is best-effort within the same transaction)\n- Redaction constraints: None (no secrets in pipeline metadata)\n\n## Integration Closure\n\n- Upstream surfaces consumed: `backend/models.py` (TechniquePage model), `backend/pipeline/stages.py` (stage5_synthesis upsert block), `backend/routers/techniques.py` (existing detail endpoint), `backend/schemas.py` (TechniquePageDetail), `frontend/src/pages/TechniquePage.tsx`, `frontend/src/api/public-client.ts`\n- New wiring introduced in this slice: TechniquePageVersion model → Alembic migration → stage 5 snapshot hook → API version endpoints → frontend version count display\n- What remains before the milestone is truly usable end-to-end: nothing — this is the final slice in M004","tasks":[{"description":"Create the TechniquePageVersion SQLAlchemy model, Alembic migration, and the snapshot-on-write hook in stage 5 synthesis that captures existing page content + pipeline metadata before overwriting.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL (migration) | Alembic raises — migration fails cleanly | N/A (local) | N/A |\n| Stage 5 sync session | Snapshot INSERT fails → log ERROR, continue with page update (best-effort versioning) | N/A (local DB) | N/A |\n| Prompt file hashing | FileNotFoundError → log WARNING, store empty hash in metadata | N/A | N/A |\n\n## Steps\n\n1. Add `TechniquePageVersion` model to `backend/models.py`: id (UUID PK), technique_page_id (FK to technique_pages.id, CASCADE), version_number (Integer, not null), content_snapshot (JSONB, not null), pipeline_metadata (JSONB, nullable), created_at (datetime). Add `sa_relationship` back to TechniquePage (versions list).\n\n2. Create Alembic migration `alembic/versions/002_technique_page_versions.py` following the exact pattern of `001_initial.py` (revision ID format, imports, upgrade/downgrade). The migration creates the `technique_page_versions` table with all columns and a composite index on `(technique_page_id, version_number)`.\n\n3. Add `_capture_pipeline_metadata()` helper function in `backend/pipeline/stages.py` that returns a dict with: model names (from settings), prompt file SHA-256 hashes (read each .txt file in prompts_path and hash), stage config (modalities). Use `hashlib.sha256` on file contents. Handle missing files gracefully (log warning, store empty hash).\n\n4. In `stage5_synthesis`, inside the `if existing:` block, BEFORE any attribute assignment on `existing`, capture the snapshot: read existing page's content fields (title, slug, topic_category, topic_tags, summary, body_sections, signal_chains, plugins, source_quality) into a dict. Compute `version_number = session.execute(select(func.count()).where(TechniquePageVersion.technique_page_id == existing.id)).scalar() + 1`. Create a `TechniquePageVersion` row with content_snapshot=snapshot_dict, pipeline_metadata=_capture_pipeline_metadata(), and add it to the session. Log at INFO level.\n\n5. Verify: run `alembic upgrade head` against test DB. Write a minimal manual test or rely on T02's integration tests.\n\n## Must-Haves\n\n- [ ] TechniquePageVersion model with correct columns and FK\n- [ ] Alembic migration creates technique_page_versions table\n- [ ] _capture_pipeline_metadata() hashes all prompt files and reads model config\n- [ ] Stage 5 snapshots BEFORE mutating existing page attributes\n- [ ] Version number is auto-incremented per technique_page_id\n- [ ] Snapshot contains all content fields (title, summary, body_sections, signal_chains, topic_tags, plugins, source_quality, topic_category)\n\n## Verification\n\n- `cd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\"` exits 0\n- Alembic migration file exists and follows 001_initial.py pattern\n- `grep -q '_capture_pipeline_metadata' backend/pipeline/stages.py` confirms helper exists\n- `grep -q 'TechniquePageVersion' backend/pipeline/stages.py` confirms snapshot hook is wired\n\n## Observability Impact\n\n- Signals added: INFO log in stage 5 when version snapshot is created (includes version_number, page slug)\n- How a future agent inspects this: `SELECT * FROM technique_page_versions ORDER BY created_at DESC LIMIT 5`\n- Failure state exposed: ERROR log if snapshot INSERT fails (with exception details)","estimate":"45m","expectedOutput":["`backend/models.py` — TechniquePageVersion model added with UUID PK, FK, version_number, content_snapshot JSONB, pipeline_metadata JSONB, created_at; relationship added to TechniquePage","`alembic/versions/002_technique_page_versions.py` — new Alembic migration creating technique_page_versions table with composite index","`backend/pipeline/stages.py` — _capture_pipeline_metadata() helper added; stage5_synthesis modified to snapshot existing page before overwrite"],"files":["backend/models.py","alembic/versions/002_technique_page_versions.py","backend/pipeline/stages.py"],"inputs":["`backend/models.py` — existing TechniquePage model to add relationship and reference for snapshot fields","`backend/pipeline/stages.py` — existing stage5_synthesis function (lines 480-618) with the `if existing:` upsert block where snapshot must be inserted BEFORE attribute mutation","`alembic/versions/001_initial.py` — reference migration pattern (revision ID format, imports, upgrade/downgrade structure)","`backend/config.py` — Settings class with model names, prompts_path, modality settings needed by _capture_pipeline_metadata()"],"taskId":"T01","title":"Add TechniquePageVersion model, migration, and stage 5 snapshot hook","verify":"cd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\" && test -f ../alembic/versions/002_technique_page_versions.py && grep -q '_capture_pipeline_metadata' pipeline/stages.py && grep -q 'TechniquePageVersion' pipeline/stages.py"},{"description":"Add Pydantic schemas for version responses, API endpoints for version list and version detail, extend TechniquePageDetail with version_count, and write integration tests covering the full flow.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL query | SQLAlchemy raises → FastAPI returns 500 | N/A (local) | N/A |\n| Missing technique slug | Return 404 with clear message | N/A | N/A |\n| Missing version number | Return 404 with clear message | N/A | N/A |\n\n## Negative Tests\n\n- **Malformed inputs**: GET /techniques/nonexistent-slug/versions → 404; GET /techniques/{slug}/versions/999 → 404\n- **Boundary conditions**: Technique with zero versions → empty list response; version_count = 0 on fresh page\n\n## Steps\n\n1. Add Pydantic schemas to `backend/schemas.py`:\n   - `TechniquePageVersionSummary`: version_number (int), created_at (datetime), pipeline_metadata (dict | None)\n   - `TechniquePageVersionDetail`: version_number (int), content_snapshot (dict), pipeline_metadata (dict | None), created_at (datetime)\n   - `TechniquePageVersionListResponse`: items (list[TechniquePageVersionSummary]), total (int)\n   - Add `version_count: int = 0` field to `TechniquePageDetail`\n\n2. Add endpoints to `backend/routers/techniques.py`:\n   - `GET /{slug}/versions` — query TechniquePageVersion rows for the page, ordered by version_number DESC. Return TechniquePageVersionListResponse. 404 if slug not found.\n   - `GET /{slug}/versions/{version_number}` — return single TechniquePageVersionDetail. 404 if slug or version not found.\n\n3. Modify the existing `get_technique` endpoint to include `version_count` by counting TechniquePageVersion rows for the page.\n\n4. Write integration tests in `backend/tests/test_public_api.py`:\n   - Test version list returns empty for page with no versions\n   - Test version list returns versions after inserting a TechniquePageVersion row directly\n   - Test version detail returns correct content_snapshot\n   - Test version detail 404 for nonexistent version number\n   - Test technique detail includes version_count field\n   - Test versions endpoint 404 for nonexistent slug\n\n5. Run all existing tests to confirm no regressions.\n\n## Must-Haves\n\n- [ ] TechniquePageVersionSummary, TechniquePageVersionDetail, TechniquePageVersionListResponse schemas\n- [ ] version_count field on TechniquePageDetail\n- [ ] GET /{slug}/versions endpoint returns version list sorted by version_number desc\n- [ ] GET /{slug}/versions/{version_number} endpoint returns full content snapshot\n- [ ] 404 responses for missing slug or version number\n- [ ] Integration tests pass for all version endpoints\n- [ ] All existing tests still pass\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_public_api.py -v` — all tests pass including new version tests\n- `cd backend && python -m pytest tests/ -v` — full test suite passes (no regressions)","estimate":"45m","expectedOutput":["`backend/schemas.py` — TechniquePageVersionSummary, TechniquePageVersionDetail, TechniquePageVersionListResponse schemas added; version_count field added to TechniquePageDetail","`backend/routers/techniques.py` — GET /{slug}/versions and GET /{slug}/versions/{version_number} endpoints added; get_technique modified to include version_count","`backend/tests/test_public_api.py` — integration tests for version list, version detail, version_count on technique detail, and 404 cases"],"files":["backend/schemas.py","backend/routers/techniques.py","backend/tests/test_public_api.py"],"inputs":["`backend/models.py` — TechniquePageVersion model created in T01","`backend/schemas.py` — existing TechniquePageDetail schema to extend with version_count","`backend/routers/techniques.py` — existing technique detail endpoint to modify and add version endpoints","`backend/tests/test_public_api.py` — existing test file with seed helpers and test patterns to follow","`backend/tests/conftest.py` — test fixtures (db_engine, client) for async integration tests"],"taskId":"T02","title":"Add version API endpoints, schemas, and integration tests","verify":"cd backend && python -m pytest tests/test_public_api.py -v && python -m pytest tests/ -v --timeout=60"},{"description":"Add TypeScript types for version responses to the API client, fetch version count from the technique detail response, and display it in the technique page meta stats line.\n\n## Steps\n\n1. Update `frontend/src/api/public-client.ts`:\n   - Add `version_count: number` to `TechniquePageDetail` interface\n   - Add `TechniquePageVersionSummary` interface: { version_number: number, created_at: string, pipeline_metadata: Record<string, unknown> | null }\n   - Add `TechniquePageVersionListResponse` interface: { items: TechniquePageVersionSummary[], total: number }\n   - Add `fetchTechniqueVersions(slug: string)` function that calls GET /techniques/{slug}/versions\n\n2. Update `frontend/src/pages/TechniquePage.tsx`:\n   - The technique detail response now includes `version_count`. Display it in the meta stats line after moment count: `· N version(s)` (only show if version_count > 0).\n\n3. Run `npm run build` to verify zero TypeScript errors.\n\n## Must-Haves\n\n- [ ] TechniquePageDetail TypeScript interface includes version_count: number\n- [ ] fetchTechniqueVersions API function exists\n- [ ] Version count displayed in technique page meta stats (when > 0)\n- [ ] `npm run build` exits 0 with zero TypeScript errors\n\n## Verification\n\n- `cd frontend && npm run build` exits 0\n- `grep -q 'version_count' frontend/src/api/public-client.ts` confirms type added\n- `grep -q 'version_count' frontend/src/pages/TechniquePage.tsx` confirms display wired","estimate":"20m","expectedOutput":["`frontend/src/api/public-client.ts` — version_count added to TechniquePageDetail; version types and fetchTechniqueVersions function added","`frontend/src/pages/TechniquePage.tsx` — meta stats line shows version count when > 0"],"files":["frontend/src/api/public-client.ts","frontend/src/pages/TechniquePage.tsx"],"inputs":["`frontend/src/api/public-client.ts` — existing TypeScript API client with TechniquePageDetail interface to extend","`frontend/src/pages/TechniquePage.tsx` — existing technique page component with meta stats line to modify","`backend/schemas.py` — TechniquePageVersionSummary and TechniquePageVersionListResponse schemas from T02 (for TypeScript type mirroring)"],"taskId":"T03","title":"Add frontend version count display and API client types","verify":"cd frontend && npm run build && grep -q 'version_count' src/api/public-client.ts && grep -q 'version_count' src/pages/TechniquePage.tsx"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":5089,"cacheRead":89765,"cacheWrite":499,"totalTokens":95354,"cost":{"input":0.000005,"output":0.127225,"cacheRead":0.0448825,"cacheWrite":0.00311875,"total":0.17523125}},"stopReason":"toolUse","timestamp":1774854155439}}
{"type":"message","id":"af9d7d1b","parentId":"54df8d29","timestamp":"2026-03-30T07:04:11.521Z","message":{"role":"toolResult","toolCallId":"toolu_01Qt4r8JfUELToULipWXHgVd","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S04 (M004)"}],"details":{"operation":"plan_slice","milestoneId":"M004","sliceId":"S04","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/S04-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T02-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T03-PLAN.md"]},"isError":false,"timestamp":1774854251519}}
{"type":"message","id":"02706751","parentId":"af9d7d1b","timestamp":"2026-03-30T07:04:16.330Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me verify the plan files were written correctly:"},{"type":"toolCall","id":"toolu_01D38vzBatMwmdy9rVJc2S4v","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/S04-PLAN.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":100,"cacheRead":90264,"cacheWrite":5081,"totalTokens":95446,"cost":{"input":0.000005,"output":0.0025,"cacheRead":0.045132,"cacheWrite":0.03175625,"total":0.07939325}},"stopReason":"toolUse","timestamp":1774854251519}}
{"type":"message","id":"46daf3c2","parentId":"02706751","timestamp":"2026-03-30T07:04:16.337Z","message":{"role":"toolResult","toolCallId":"toolu_01D38vzBatMwmdy9rVJc2S4v","toolName":"read","content":[{"type":"text","text":"# S04: Article Versioning + Pipeline Tuning Metadata\n\n**Goal:** Technique pages track version history with pipeline metadata; re-running stage 5 snapshots the previous content before overwriting; API returns version list and version detail; frontend shows version count.\n**Demo:** After this: Technique pages track version history with pipeline metadata; API returns version list\n\n## Tasks\n- [ ] **T01: Add TechniquePageVersion model, migration, and stage 5 snapshot hook** — Create the TechniquePageVersion SQLAlchemy model, Alembic migration, and the snapshot-on-write hook in stage 5 synthesis that captures existing page content + pipeline metadata before overwriting.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL (migration) | Alembic raises — migration fails cleanly | N/A (local) | N/A |\n| Stage 5 sync session | Snapshot INSERT fails → log ERROR, continue with page update (best-effort versioning) | N/A (local DB) | N/A |\n| Prompt file hashing | FileNotFoundError → log WARNING, store empty hash in metadata | N/A | N/A |\n\n## Steps\n\n1. Add `TechniquePageVersion` model to `backend/models.py`: id (UUID PK), technique_page_id (FK to technique_pages.id, CASCADE), version_number (Integer, not null), content_snapshot (JSONB, not null), pipeline_metadata (JSONB, nullable), created_at (datetime). Add `sa_relationship` back to TechniquePage (versions list).\n\n2. Create Alembic migration `alembic/versions/002_technique_page_versions.py` following the exact pattern of `001_initial.py` (revision ID format, imports, upgrade/downgrade). The migration creates the `technique_page_versions` table with all columns and a composite index on `(technique_page_id, version_number)`.\n\n3. Add `_capture_pipeline_metadata()` helper function in `backend/pipeline/stages.py` that returns a dict with: model names (from settings), prompt file SHA-256 hashes (read each .txt file in prompts_path and hash), stage config (modalities). Use `hashlib.sha256` on file contents. Handle missing files gracefully (log warning, store empty hash).\n\n4. In `stage5_synthesis`, inside the `if existing:` block, BEFORE any attribute assignment on `existing`, capture the snapshot: read existing page's content fields (title, slug, topic_category, topic_tags, summary, body_sections, signal_chains, plugins, source_quality) into a dict. Compute `version_number = session.execute(select(func.count()).where(TechniquePageVersion.technique_page_id == existing.id)).scalar() + 1`. Create a `TechniquePageVersion` row with content_snapshot=snapshot_dict, pipeline_metadata=_capture_pipeline_metadata(), and add it to the session. Log at INFO level.\n\n5. Verify: run `alembic upgrade head` against test DB. Write a minimal manual test or rely on T02's integration tests.\n\n## Must-Haves\n\n- [ ] TechniquePageVersion model with correct columns and FK\n- [ ] Alembic migration creates technique_page_versions table\n- [ ] _capture_pipeline_metadata() hashes all prompt files and reads model config\n- [ ] Stage 5 snapshots BEFORE mutating existing page attributes\n- [ ] Version number is auto-incremented per technique_page_id\n- [ ] Snapshot contains all content fields (title, summary, body_sections, signal_chains, topic_tags, plugins, source_quality, topic_category)\n\n## Verification\n\n- `cd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\"` exits 0\n- Alembic migration file exists and follows 001_initial.py pattern\n- `grep -q '_capture_pipeline_metadata' backend/pipeline/stages.py` confirms helper exists\n- `grep -q 'TechniquePageVersion' backend/pipeline/stages.py` confirms snapshot hook is wired\n\n## Observability Impact\n\n- Signals added: INFO log in stage 5 when version snapshot is created (includes version_number, page slug)\n- How a future agent inspects this: `SELECT * FROM technique_page_versions ORDER BY created_at DESC LIMIT 5`\n- Failure state exposed: ERROR log if snapshot INSERT fails (with exception details)\n  - Estimate: 45m\n  - Files: backend/models.py, alembic/versions/002_technique_page_versions.py, backend/pipeline/stages.py\n  - Verify: cd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\" && test -f ../alembic/versions/002_technique_page_versions.py && grep -q '_capture_pipeline_metadata' pipeline/stages.py && grep -q 'TechniquePageVersion' pipeline/stages.py\n- [ ] **T02: Add version API endpoints, schemas, and integration tests** — Add Pydantic schemas for version responses, API endpoints for version list and version detail, extend TechniquePageDetail with version_count, and write integration tests covering the full flow.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL query | SQLAlchemy raises → FastAPI returns 500 | N/A (local) | N/A |\n| Missing technique slug | Return 404 with clear message | N/A | N/A |\n| Missing version number | Return 404 with clear message | N/A | N/A |\n\n## Negative Tests\n\n- **Malformed inputs**: GET /techniques/nonexistent-slug/versions → 404; GET /techniques/{slug}/versions/999 → 404\n- **Boundary conditions**: Technique with zero versions → empty list response; version_count = 0 on fresh page\n\n## Steps\n\n1. Add Pydantic schemas to `backend/schemas.py`:\n   - `TechniquePageVersionSummary`: version_number (int), created_at (datetime), pipeline_metadata (dict | None)\n   - `TechniquePageVersionDetail`: version_number (int), content_snapshot (dict), pipeline_metadata (dict | None), created_at (datetime)\n   - `TechniquePageVersionListResponse`: items (list[TechniquePageVersionSummary]), total (int)\n   - Add `version_count: int = 0` field to `TechniquePageDetail`\n\n2. Add endpoints to `backend/routers/techniques.py`:\n   - `GET /{slug}/versions` — query TechniquePageVersion rows for the page, ordered by version_number DESC. Return TechniquePageVersionListResponse. 404 if slug not found.\n   - `GET /{slug}/versions/{version_number}` — return single TechniquePageVersionDetail. 404 if slug or version not found.\n\n3. Modify the existing `get_technique` endpoint to include `version_count` by counting TechniquePageVersion rows for the page.\n\n4. Write integration tests in `backend/tests/test_public_api.py`:\n   - Test version list returns empty for page with no versions\n   - Test version list returns versions after inserting a TechniquePageVersion row directly\n   - Test version detail returns correct content_snapshot\n   - Test version detail 404 for nonexistent version number\n   - Test technique detail includes version_count field\n   - Test versions endpoint 404 for nonexistent slug\n\n5. Run all existing tests to confirm no regressions.\n\n## Must-Haves\n\n- [ ] TechniquePageVersionSummary, TechniquePageVersionDetail, TechniquePageVersionListResponse schemas\n- [ ] version_count field on TechniquePageDetail\n- [ ] GET /{slug}/versions endpoint returns version list sorted by version_number desc\n- [ ] GET /{slug}/versions/{version_number} endpoint returns full content snapshot\n- [ ] 404 responses for missing slug or version number\n- [ ] Integration tests pass for all version endpoints\n- [ ] All existing tests still pass\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_public_api.py -v` — all tests pass including new version tests\n- `cd backend && python -m pytest tests/ -v` — full test suite passes (no regressions)\n  - Estimate: 45m\n  - Files: backend/schemas.py, backend/routers/techniques.py, backend/tests/test_public_api.py\n  - Verify: cd backend && python -m pytest tests/test_public_api.py -v && python -m pytest tests/ -v --timeout=60\n- [ ] **T03: Add frontend version count display and API client types** — Add TypeScript types for version responses to the API client, fetch version count from the technique detail response, and display it in the technique page meta stats line.\n\n## Steps\n\n1. Update `frontend/src/api/public-client.ts`:\n   - Add `version_count: number` to `TechniquePageDetail` interface\n   - Add `TechniquePageVersionSummary` interface: { version_number: number, created_at: string, pipeline_metadata: Record<string, unknown> | null }\n   - Add `TechniquePageVersionListResponse` interface: { items: TechniquePageVersionSummary[], total: number }\n   - Add `fetchTechniqueVersions(slug: string)` function that calls GET /techniques/{slug}/versions\n\n2. Update `frontend/src/pages/TechniquePage.tsx`:\n   - The technique detail response now includes `version_count`. Display it in the meta stats line after moment count: `· N version(s)` (only show if version_count > 0).\n\n3. Run `npm run build` to verify zero TypeScript errors.\n\n## Must-Haves\n\n- [ ] TechniquePageDetail TypeScript interface includes version_count: number\n- [ ] fetchTechniqueVersions API function exists\n- [ ] Version count displayed in technique page meta stats (when > 0)\n- [ ] `npm run build` exits 0 with zero TypeScript errors\n\n## Verification\n\n- `cd frontend && npm run build` exits 0\n- `grep -q 'version_count' frontend/src/api/public-client.ts` confirms type added\n- `grep -q 'version_count' frontend/src/pages/TechniquePage.tsx` confirms display wired\n  - Estimate: 20m\n  - Files: frontend/src/api/public-client.ts, frontend/src/pages/TechniquePage.tsx\n  - Verify: cd frontend && npm run build && grep -q 'version_count' src/api/public-client.ts && grep -q 'version_count' src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1774854256333}}
{"type":"message","id":"b01fee2a","parentId":"46daf3c2","timestamp":"2026-03-30T07:04:21.096Z","message":{"role":"assistant","content":[{"type":"text","text":"The plan file is rendered. Let me verify the task plan files were also created:"},{"type":"toolCall","id":"toolu_01NQNdQPjbCWxcJ5R86hbdjw","name":"bash","arguments":{"command":"ls -la /home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":106,"cacheRead":95345,"cacheWrite":2712,"totalTokens":98164,"cost":{"input":0.000005,"output":0.00265,"cacheRead":0.0476725,"cacheWrite":0.01695,"total":0.06727749999999999}},"stopReason":"toolUse","timestamp":1774854256335}}
{"type":"message","id":"a159dcb4","parentId":"b01fee2a","timestamp":"2026-03-30T07:04:21.108Z","message":{"role":"toolResult","toolCallId":"toolu_01NQNdQPjbCWxcJ5R86hbdjw","toolName":"bash","content":[{"type":"text","text":"total 28\ndrwxrwxr-x 2 aux aux 4096 Mar 30 07:04 .\ndrwxrwxr-x 3 aux aux 4096 Mar 30 07:04 ..\n-rw-rw-r-- 1 aux aux 5053 Mar 30 07:04 T01-PLAN.md\n-rw-rw-r-- 1 aux aux 4232 Mar 30 07:04 T02-PLAN.md\n-rw-rw-r-- 1 aux aux 2363 Mar 30 07:04 T03-PLAN.md\n"}],"isError":false,"timestamp":1774854261106}}
{"type":"message","id":"e76743e7","parentId":"a159dcb4","timestamp":"2026-03-30T07:04:25.633Z","message":{"role":"assistant","content":[{"type":"text","text":"All three task plans exist. Let me do the self-audit by spot-checking the task plans:"},{"type":"toolCall","id":"toolu_01Q21KbDYv1ofh9yNN7vRGxm","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T01-PLAN.md"}},{"type":"toolCall","id":"toolu_0156ogN5bE2PHKzHirXsc35A","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T02-PLAN.md"}},{"type":"toolCall","id":"toolu_012tNWSiAyLWsGXWN8uqUkvJ","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S04/tasks/T03-PLAN.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":261,"cacheRead":98057,"cacheWrite":280,"totalTokens":98599,"cost":{"input":0.000005,"output":0.006525,"cacheRead":0.049028499999999996,"cacheWrite":0.00175,"total":0.0573085}},"stopReason":"toolUse","timestamp":1774854261107}}
{"type":"message","id":"ef47f6f8","parentId":"e76743e7","timestamp":"2026-03-30T07:04:25.637Z","message":{"role":"toolResult","toolCallId":"toolu_01Q21KbDYv1ofh9yNN7vRGxm","toolName":"read","content":[{"type":"text","text":"---\nestimated_steps: 29\nestimated_files: 3\nskills_used: []\n---\n\n# T01: Add TechniquePageVersion model, migration, and stage 5 snapshot hook\n\nCreate the TechniquePageVersion SQLAlchemy model, Alembic migration, and the snapshot-on-write hook in stage 5 synthesis that captures existing page content + pipeline metadata before overwriting.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL (migration) | Alembic raises — migration fails cleanly | N/A (local) | N/A |\n| Stage 5 sync session | Snapshot INSERT fails → log ERROR, continue with page update (best-effort versioning) | N/A (local DB) | N/A |\n| Prompt file hashing | FileNotFoundError → log WARNING, store empty hash in metadata | N/A | N/A |\n\n## Steps\n\n1. Add `TechniquePageVersion` model to `backend/models.py`: id (UUID PK), technique_page_id (FK to technique_pages.id, CASCADE), version_number (Integer, not null), content_snapshot (JSONB, not null), pipeline_metadata (JSONB, nullable), created_at (datetime). Add `sa_relationship` back to TechniquePage (versions list).\n\n2. Create Alembic migration `alembic/versions/002_technique_page_versions.py` following the exact pattern of `001_initial.py` (revision ID format, imports, upgrade/downgrade). The migration creates the `technique_page_versions` table with all columns and a composite index on `(technique_page_id, version_number)`.\n\n3. Add `_capture_pipeline_metadata()` helper function in `backend/pipeline/stages.py` that returns a dict with: model names (from settings), prompt file SHA-256 hashes (read each .txt file in prompts_path and hash), stage config (modalities). Use `hashlib.sha256` on file contents. Handle missing files gracefully (log warning, store empty hash).\n\n4. In `stage5_synthesis`, inside the `if existing:` block, BEFORE any attribute assignment on `existing`, capture the snapshot: read existing page's content fields (title, slug, topic_category, topic_tags, summary, body_sections, signal_chains, plugins, source_quality) into a dict. Compute `version_number = session.execute(select(func.count()).where(TechniquePageVersion.technique_page_id == existing.id)).scalar() + 1`. Create a `TechniquePageVersion` row with content_snapshot=snapshot_dict, pipeline_metadata=_capture_pipeline_metadata(), and add it to the session. Log at INFO level.\n\n5. Verify: run `alembic upgrade head` against test DB. Write a minimal manual test or rely on T02's integration tests.\n\n## Must-Haves\n\n- [ ] TechniquePageVersion model with correct columns and FK\n- [ ] Alembic migration creates technique_page_versions table\n- [ ] _capture_pipeline_metadata() hashes all prompt files and reads model config\n- [ ] Stage 5 snapshots BEFORE mutating existing page attributes\n- [ ] Version number is auto-incremented per technique_page_id\n- [ ] Snapshot contains all content fields (title, summary, body_sections, signal_chains, topic_tags, plugins, source_quality, topic_category)\n\n## Verification\n\n- `cd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\"` exits 0\n- Alembic migration file exists and follows 001_initial.py pattern\n- `grep -q '_capture_pipeline_metadata' backend/pipeline/stages.py` confirms helper exists\n- `grep -q 'TechniquePageVersion' backend/pipeline/stages.py` confirms snapshot hook is wired\n\n## Observability Impact\n\n- Signals added: INFO log in stage 5 when version snapshot is created (includes version_number, page slug)\n- How a future agent inspects this: `SELECT * FROM technique_page_versions ORDER BY created_at DESC LIMIT 5`\n- Failure state exposed: ERROR log if snapshot INSERT fails (with exception details)\n\n## Inputs\n\n- ``backend/models.py` — existing TechniquePage model to add relationship and reference for snapshot fields`\n- ``backend/pipeline/stages.py` — existing stage5_synthesis function (lines 480-618) with the `if existing:` upsert block where snapshot must be inserted BEFORE attribute mutation`\n- ``alembic/versions/001_initial.py` — reference migration pattern (revision ID format, imports, upgrade/downgrade structure)`\n- ``backend/config.py` — Settings class with model names, prompts_path, modality settings needed by _capture_pipeline_metadata()`\n\n## Expected Output\n\n- ``backend/models.py` — TechniquePageVersion model added with UUID PK, FK, version_number, content_snapshot JSONB, pipeline_metadata JSONB, created_at; relationship added to TechniquePage`\n- ``alembic/versions/002_technique_page_versions.py` — new Alembic migration creating technique_page_versions table with composite index`\n- ``backend/pipeline/stages.py` — _capture_pipeline_metadata() helper added; stage5_synthesis modified to snapshot existing page before overwrite`\n\n## Verification\n\ncd backend && python -c \"from models import TechniquePageVersion; print('Model OK')\" && test -f ../alembic/versions/002_technique_page_versions.py && grep -q '_capture_pipeline_metadata' pipeline/stages.py && grep -q 'TechniquePageVersion' pipeline/stages.py\n"}],"isError":false,"timestamp":1774854265637}}
{"type":"message","id":"f0793b34","parentId":"ef47f6f8","timestamp":"2026-03-30T07:04:25.638Z","message":{"role":"toolResult","toolCallId":"toolu_0156ogN5bE2PHKzHirXsc35A","toolName":"read","content":[{"type":"text","text":"---\nestimated_steps: 39\nestimated_files: 3\nskills_used: []\n---\n\n# T02: Add version API endpoints, schemas, and integration tests\n\nAdd Pydantic schemas for version responses, API endpoints for version list and version detail, extend TechniquePageDetail with version_count, and write integration tests covering the full flow.\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL query | SQLAlchemy raises → FastAPI returns 500 | N/A (local) | N/A |\n| Missing technique slug | Return 404 with clear message | N/A | N/A |\n| Missing version number | Return 404 with clear message | N/A | N/A |\n\n## Negative Tests\n\n- **Malformed inputs**: GET /techniques/nonexistent-slug/versions → 404; GET /techniques/{slug}/versions/999 → 404\n- **Boundary conditions**: Technique with zero versions → empty list response; version_count = 0 on fresh page\n\n## Steps\n\n1. Add Pydantic schemas to `backend/schemas.py`:\n   - `TechniquePageVersionSummary`: version_number (int), created_at (datetime), pipeline_metadata (dict | None)\n   - `TechniquePageVersionDetail`: version_number (int), content_snapshot (dict), pipeline_metadata (dict | None), created_at (datetime)\n   - `TechniquePageVersionListResponse`: items (list[TechniquePageVersionSummary]), total (int)\n   - Add `version_count: int = 0` field to `TechniquePageDetail`\n\n2. Add endpoints to `backend/routers/techniques.py`:\n   - `GET /{slug}/versions` — query TechniquePageVersion rows for the page, ordered by version_number DESC. Return TechniquePageVersionListResponse. 404 if slug not found.\n   - `GET /{slug}/versions/{version_number}` — return single TechniquePageVersionDetail. 404 if slug or version not found.\n\n3. Modify the existing `get_technique` endpoint to include `version_count` by counting TechniquePageVersion rows for the page.\n\n4. Write integration tests in `backend/tests/test_public_api.py`:\n   - Test version list returns empty for page with no versions\n   - Test version list returns versions after inserting a TechniquePageVersion row directly\n   - Test version detail returns correct content_snapshot\n   - Test version detail 404 for nonexistent version number\n   - Test technique detail includes version_count field\n   - Test versions endpoint 404 for nonexistent slug\n\n5. Run all existing tests to confirm no regressions.\n\n## Must-Haves\n\n- [ ] TechniquePageVersionSummary, TechniquePageVersionDetail, TechniquePageVersionListResponse schemas\n- [ ] version_count field on TechniquePageDetail\n- [ ] GET /{slug}/versions endpoint returns version list sorted by version_number desc\n- [ ] GET /{slug}/versions/{version_number} endpoint returns full content snapshot\n- [ ] 404 responses for missing slug or version number\n- [ ] Integration tests pass for all version endpoints\n- [ ] All existing tests still pass\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_public_api.py -v` — all tests pass including new version tests\n- `cd backend && python -m pytest tests/ -v` — full test suite passes (no regressions)\n\n## Inputs\n\n- ``backend/models.py` — TechniquePageVersion model created in T01`\n- ``backend/schemas.py` — existing TechniquePageDetail schema to extend with version_count`\n- ``backend/routers/techniques.py` — existing technique detail endpoint to modify and add version endpoints`\n- ``backend/tests/test_public_api.py` — existing test file with seed helpers and test patterns to follow`\n- ``backend/tests/conftest.py` — test fixtures (db_engine, client) for async integration tests`\n\n## Expected Output\n\n- ``backend/schemas.py` — TechniquePageVersionSummary, TechniquePageVersionDetail, TechniquePageVersionListResponse schemas added; version_count field added to TechniquePageDetail`\n- ``backend/routers/techniques.py` — GET /{slug}/versions and GET /{slug}/versions/{version_number} endpoints added; get_technique modified to include version_count`\n- ``backend/tests/test_public_api.py` — integration tests for version list, version detail, version_count on technique detail, and 404 cases`\n\n## Verification\n\ncd backend && python -m pytest tests/test_public_api.py -v && python -m pytest tests/ -v --timeout=60\n"}],"isError":false,"timestamp":1774854265638}}
{"type":"message","id":"6aed8a71","parentId":"f0793b34","timestamp":"2026-03-30T07:04:25.641Z","message":{"role":"toolResult","toolCallId":"toolu_012tNWSiAyLWsGXWN8uqUkvJ","toolName":"read","content":[{"type":"text","text":"---\nestimated_steps: 19\nestimated_files: 2\nskills_used: []\n---\n\n# T03: Add frontend version count display and API client types\n\nAdd TypeScript types for version responses to the API client, fetch version count from the technique detail response, and display it in the technique page meta stats line.\n\n## Steps\n\n1. Update `frontend/src/api/public-client.ts`:\n   - Add `version_count: number` to `TechniquePageDetail` interface\n   - Add `TechniquePageVersionSummary` interface: { version_number: number, created_at: string, pipeline_metadata: Record<string, unknown> | null }\n   - Add `TechniquePageVersionListResponse` interface: { items: TechniquePageVersionSummary[], total: number }\n   - Add `fetchTechniqueVersions(slug: string)` function that calls GET /techniques/{slug}/versions\n\n2. Update `frontend/src/pages/TechniquePage.tsx`:\n   - The technique detail response now includes `version_count`. Display it in the meta stats line after moment count: `· N version(s)` (only show if version_count > 0).\n\n3. Run `npm run build` to verify zero TypeScript errors.\n\n## Must-Haves\n\n- [ ] TechniquePageDetail TypeScript interface includes version_count: number\n- [ ] fetchTechniqueVersions API function exists\n- [ ] Version count displayed in technique page meta stats (when > 0)\n- [ ] `npm run build` exits 0 with zero TypeScript errors\n\n## Verification\n\n- `cd frontend && npm run build` exits 0\n- `grep -q 'version_count' frontend/src/api/public-client.ts` confirms type added\n- `grep -q 'version_count' frontend/src/pages/TechniquePage.tsx` confirms display wired\n\n## Inputs\n\n- ``frontend/src/api/public-client.ts` — existing TypeScript API client with TechniquePageDetail interface to extend`\n- ``frontend/src/pages/TechniquePage.tsx` — existing technique page component with meta stats line to modify`\n- ``backend/schemas.py` — TechniquePageVersionSummary and TechniquePageVersionListResponse schemas from T02 (for TypeScript type mirroring)`\n\n## Expected Output\n\n- ``frontend/src/api/public-client.ts` — version_count added to TechniquePageDetail; version types and fetchTechniqueVersions function added`\n- ``frontend/src/pages/TechniquePage.tsx` — meta stats line shows version count when > 0`\n\n## Verification\n\ncd frontend && npm run build && grep -q 'version_count' src/api/public-client.ts && grep -q 'version_count' src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1774854265639}}
{"type":"message","id":"f41f05fc","parentId":"6aed8a71","timestamp":"2026-03-30T07:04:39.455Z","message":{"role":"assistant","content":[{"type":"text","text":"The step counts in the frontmatter (29 and 39) are inflated — they counted markdown list items within the description, not actual implementation steps. Both tasks have 5 real steps and 3 files each, well within the scope limits.\n\n**Self-audit checklist:**\n\n- **Completion semantics**: ✅ If T01 (model + migration + stage 5 hook), T02 (API endpoints + schemas + tests), and T03 (frontend types + display) are all completed, the slice goal is met: versioning works end-to-end.\n- **Requirement coverage**: ✅ R006 (Technique Page Display) is advanced by adding version_count to the detail response (T02) and displaying it in the frontend (T03). Every must-have maps to at least one task.\n- **Task completeness**: ✅ Every task has steps, must-haves, verification, inputs (backtick-wrapped file paths), and expected outputs (backtick-wrapped file paths).\n- **Dependency correctness**: ✅ T01 → T02 → T03 is correct. T02 needs the model from T01. T03 needs the schemas from T02.\n- **Key links planned**: ✅ T01 creates model → T02 imports it for queries. T02 adds version_count to TechniquePageDetail → T03 mirrors it in TypeScript.\n- **Scope sanity**: ✅ T01: 5 steps, 3 files. T02: 5 steps, 3 files. T03: 3 steps, 2 files.\n- **Feature completeness**: ✅ Every task produces user-facing or testable progress.\n- **Quality gate coverage**: ✅ Threat Surface, Requirement Impact filled at slice level. Failure Modes, Negative Tests filled for T01/T02. T03 is simple frontend — omitted appropriately.\n\nSlice S04 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":460,"cacheRead":98337,"cacheWrite":3516,"totalTokens":102314,"cost":{"input":0.000005,"output":0.0115,"cacheRead":0.0491685,"cacheWrite":0.021975,"total":0.0826485}},"stopReason":"stop","timestamp":1774854265640}}
