{"type":"thinking_level_change","id":"2734d374","parentId":null,"timestamp":"2026-03-30T11:16:50.551Z","thinkingLevel":"off"}
{"type":"model_change","id":"6699b93c","parentId":"2734d374","timestamp":"2026-03-30T11:16:50.552Z","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## UNIT: Research Slice S03 (\"Git Commit SHA in Pipeline Version Metadata\") — Milestone M006\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M006/M006-ROADMAP.md`\n\n# M006: \n\n## Vision\nConsolidate admin navigation into a dropdown, add head/tail log viewing and commit SHA tracking to the pipeline, clean up technique page tag styling and sidebar order, redesign the Topics browse page with a Music Theory category, and add app version footer.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Admin Navigation Dropdown + Header Cleanup | low | — | ✅ | Header shows Home, Topics, Creators, and an Admin dropdown. Clicking Admin reveals Review, Reports, Pipeline links. ModeToggle removed from header. |\n| S02 | Pipeline Page: Head/Tail Log View + Token Count | low | — | ✅ | Pipeline event log shows Head/Tail toggle buttons. Head shows first N events, Tail shows last N events. Token counts visible per event and per video. |\n| S03 | Git Commit SHA in Pipeline Version Metadata | low | — | ⬜ | Running the pipeline captures the current git commit SHA. Viewing a technique page version shows the commit hash in the metadata panel. |\n| S04 | Technique Page: Sidebar Reorder, Creator Emphasis, Tag Polish | medium | — | ⬜ | Technique page sidebar shows Plugins Referenced at top. Creator name is visually prominent. Tags use a coherent color system. |\n| S05 | Topics Page Redesign + Music Theory Category | high | — | ⬜ | Topics page shows 7 categories (including Music Theory) with an improved visual layout — category cards with descriptions, sub-topic counts, better structure. |\n| S06 | App Footer with Version Info | low | — | ⬜ | Every page shows a subtle footer with app version, build date, and optional repo link. |\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n| D013 | M001/S05 | requirement | R008 Topics Browse Page status | validated | TopicsBrowse.tsx renders two-level topic hierarchy (6 categories from canonical_tags.yaml with expandable sub-topics showing technique_count and creator_count). Filter input narrows categories/sub-topics. Clicking sub-topic navigates to search with scope=topics. Backend GET /api/v1/topics aggregates counts from DB per sub-topic. Integration test verifies topic hierarchy response shape. | Yes | agent |\n| D014 | M001/S05 | requirement | R014 Creator Equity status | validated | CreatorsBrowse.tsx defaults to sort=random. Backend uses func.random() ORDER BY for randomized sort. Integration test verifies random sort returns all creators (order may vary). All creators get equal visual weight in the UI — no featured/highlighted treatment. Equal-weight row layout confirmed in CSS. | Yes | agent |\n| D015 | M002/S01 | architecture | Docker network subnet for Chrysopedia on ub01 | 172.32.0.0/24 — free on ub01, replaces 172.24.0.0/24 which is used by xpltd_docs_default | 172.24.0.0/24 was already allocated to xpltd_docs_default network on ub01. Scanned all existing subnets and 172.32.0.0/24 was the first unoccupied /24 in the 172.x range. | Yes | agent |\n| D016 | M002/S01 | architecture | Embedding service for the pipeline and search — OpenWebUI doesn't serve /v1/embeddings | Add Ollama container (ollama/ollama:latest) to the compose stack running nomic-embed-text on CPU | The FYN OpenWebUI instance at chat.forgetyour.name returns 404/500 on /v1/embeddings. No Ollama instance exists on the network. Ollama provides the standard OpenAI-compatible /v1/embeddings endpoint that both EmbeddingClient and SearchService expect. | Yes | agent |\n| D017 |  | frontend | CSS theming approach for dark mode | 77 semantic CSS custom properties in :root block, all hardcoded colors replaced with var(--*) references | A complete variable-based palette enables theme switching, ensures consistency, and makes future color changes single-point edits. 77 tokens (vs ~30 initially planned) were needed to cover all semantic contexts — badges, buttons, surfaces, text, accents, shadows, and status states. Cyan (#22d3ee) replaces indigo as the accent color throughout. | Yes | agent |\n| D018 | M004/S04 | architecture | Version snapshot failure handling strategy in stage 5 | Best-effort versioning — snapshot INSERT failure logs ERROR but does not block page update (existing content overwrites proceed regardless) | Versioning is a diagnostic/benchmarking feature. Losing a version snapshot is far less damaging than failing the entire page synthesis. Follows the same non-blocking side-effect pattern established in D005 for embedding/Qdrant failures. | Yes | agent |\n| D019 | M005/S02 | frontend-layout | Technique page layout structure | CSS grid 2-column layout: 1fr main + 22rem sticky sidebar, collapsing to single column at 768px. Page max-width widened from 48rem to 64rem. | 22rem sidebar provides enough room for moment cards and plugin lists without cramming. 64rem total width accommodates both columns comfortably on standard desktop displays. Sticky sidebar keeps navigation aids visible while scrolling prose. 768px breakpoint aligns with existing mobile styles in the codebase. | Yes | agent |\n\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 6 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 to watch out for.\n\n- (no dependencies)\n\n## Your Role in the Pipeline\n\nYou are the scout. After you finish, a **planner agent** reads your output in a fresh context with no memory of your exploration. It uses your findings to decompose this slice into executable tasks — deciding what files change, what order to build things, how to verify the work. Then **executor agents** build each task in isolated context windows.\n\nWrite for the planner, not for a human. The planner needs:\n- **What files exist and what they do** — so it can scope tasks to specific files\n- **Where the natural seams are** — where work divides into independent units\n- **What to build or prove first** — what's riskiest, what unblocks everything else\n- **How to verify the result** — what commands, tests, or checks confirm the slice works\n\nIf the research doc is vague, the planner will waste its context re-exploring code you already read. If it's precise, the planner can decompose immediately.\n\n## Calibrate Depth\n\nRead the slice title, the roadmap excerpt, and any milestone research above. Ask: does this slice involve unfamiliar technology, risky integration, novel architecture, or ambiguous requirements? Or is it straightforward application of known patterns to known code?\n\n- **Deep research** — new technology, unfamiliar APIs, risky integration, multiple viable approaches, or ambiguous scope. Explore broadly, look up docs, check libraries, investigate constraints. Write all template sections. This is the default when you're genuinely uncertain.\n- **Targeted research** — known technology but new to this codebase, or moderately complex integration. Explore the relevant code, check one or two libraries, identify constraints. Omit Don't Hand-Roll and Sources if nothing applies.\n- **Light research** — well-understood work using established patterns already in the codebase (wiring up existing APIs, adding standard UI components, CRUD operations, configuration changes). Read the relevant files to confirm the pattern, note any constraints, write Summary + Recommendation + Implementation Landscape. Skip the rest. A light research doc can be 15-20 lines. Don't manufacture pitfalls or risks for work that doesn't have them.\n\nAn honest \"this is straightforward, here's the pattern to follow\" is more valuable than invented complexity.\n\n## Steps\n\nResearch what this slice needs. Narrate key findings and surprises as you go — what exists, what's missing, what constrains the approach.\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements this slice owns or supports. Research should target these requirements — surfacing risks, unknowns, and implementation constraints that could affect whether the slice actually delivers them.\n1.  Reference specific rules from loaded skills in your findings where they inform the implementation approach.\n2. **Skill Discovery (suggest):**\n   Identify the key technologies, frameworks, and services this work depends on (e.g. Stripe, Clerk, Supabase, JUCE, SwiftUI).\n   For each, check if a professional agent skill already exists:\n   - First check `<available_skills>` in your system prompt — a skill may already be installed.\n   - For technologies without an installed skill, run: `npx skills find \"<technology>\"`\n   - Only consider skills that are **directly relevant** to core technologies — not tangentially related.\n   - Evaluate results by install count and relevance to the actual work.\n   - Note promising skills in your research output with their install commands, but do NOT install them.\n   - The user will decide which to install.\n3. Explore relevant code for this slice's scope. For targeted exploration, use `rg`, `find`, and reads. For broad or unfamiliar subsystems, use `scout` to map the relevant area first.\n4. Use `resolve_library` / `get_library_docs` for unfamiliar libraries — skip this for libraries already used in the codebase\n5. **Web search budget:** You have a limited budget of web searches (max ~15 per session). Use them strategically — prefer `resolve_library` / `get_library_docs` for library documentation. Do NOT repeat the same or similar queries. If a search didn't find what you need, rephrase once or move on. Target 3-5 total web searches for a typical research unit.\n6. Use the **Research** output template from the inlined context above — include only sections that have real content. The template is already inlined above; do NOT attempt to read any template file from disk (there is no `templates/SLICE-RESEARCH.md` — the correct template is already present in this prompt).\n7. Call `gsd_summary_save` with `milestone_id: M006`, `slice_id: S03`, `artifact_type: \"RESEARCH\"`, and the full research markdown as `content` — the tool computes the file path and persists to both DB and disk.\n\nThe slice directory already exists at `.gsd/milestones/M006/slices/S03/`. Do NOT mkdir.\n\n**You MUST call `gsd_summary_save` with the research content before finishing.**\n\nWhen done, say: \"Slice S03 researched.\"","display":false,"id":"588299e4","parentId":"6699b93c","timestamp":"2026-03-30T11:16:50.553Z"}
{"type":"message","id":"a570d0f6","parentId":"588299e4","timestamp":"2026-03-30T11:16:58.000Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll research what's needed for adding git commit SHA tracking to the pipeline version metadata. This is a targeted research task — the pattern for version metadata already exists in the codebase (technique page versioning from M004), and git SHA capture is straightforward. Let me confirm the specifics."},{"type":"toolCall","id":"toolu_01MXcko4eNVyM5imXo1dYHCZ","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find backend -type f -name \"*.py\" | head -60"}},{"type":"toolCall","id":"toolu_01D39KvXXpJnwG9XUNiDxDFz","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"version\" backend/ --type py | head -20"}},{"type":"toolCall","id":"toolu_019LXd5Av2HynKv4XVdp9Yjw","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"commit\\|sha\\|git\" backend/ --type py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":286,"cacheRead":57564,"cacheWrite":6326,"totalTokens":64179,"cost":{"input":0.000015000000000000002,"output":0.00715,"cacheRead":0.028782,"cacheWrite":0.0395375,"total":0.07548450000000001}},"stopReason":"toolUse","timestamp":1774869410552}}
{"type":"message","id":"280c8dba","parentId":"a570d0f6","timestamp":"2026-03-30T11:16:58.023Z","message":{"role":"toolResult","toolCallId":"toolu_01MXcko4eNVyM5imXo1dYHCZ","toolName":"bash","content":[{"type":"text","text":"backend/pipeline/stages.py\n"}],"isError":false,"timestamp":1774869418023}}
{"type":"message","id":"89823d5e","parentId":"280c8dba","timestamp":"2026-03-30T11:16:58.025Z","message":{"role":"toolResult","toolCallId":"toolu_01D39KvXXpJnwG9XUNiDxDFz","toolName":"bash","content":[{"type":"text","text":"backend/pipeline/stages.py\n"}],"isError":false,"timestamp":1774869418025}}
{"type":"message","id":"aa1b35eb","parentId":"89823d5e","timestamp":"2026-03-30T11:16:58.033Z","message":{"role":"toolResult","toolCallId":"toolu_019LXd5Av2HynKv4XVdp9Yjw","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774869418031}}
{"type":"message","id":"94ed1b8e","parentId":"aa1b35eb","timestamp":"2026-03-30T11:17:04.524Z","message":{"role":"assistant","content":[{"type":"text","text":"No git/commit/sha references yet. Let me look at the version metadata model and the pipeline stages to understand the existing versioning pattern."},{"type":"toolCall","id":"toolu_015oximEhyEY1rUxKNm1RAku","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"TechniquePageVersion\\|version_number\\|content_snapshot\\|pipeline_metadata\" backend/ --type py"}},{"type":"toolCall","id":"toolu_0155zqEiekrJR3XAkEeP8tGB","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"version\" frontend/src/ --type ts --type tsx 2>/dev/null; rg -l \"version\" frontend/src/ -g \"*.tsx\" -g \"*.ts\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":228,"cacheRead":63890,"cacheWrite":392,"totalTokens":64511,"cost":{"input":0.000005,"output":0.0057,"cacheRead":0.031945,"cacheWrite":0.00245,"total":0.040100000000000004}},"stopReason":"toolUse","timestamp":1774869418031}}
{"type":"message","id":"0580875d","parentId":"94ed1b8e","timestamp":"2026-03-30T11:17:04.536Z","message":{"role":"toolResult","toolCallId":"toolu_015oximEhyEY1rUxKNm1RAku","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1774869424536}}
{"type":"message","id":"021629f0","parentId":"0580875d","timestamp":"2026-03-30T11:17:04.543Z","message":{"role":"toolResult","toolCallId":"toolu_0155zqEiekrJR3XAkEeP8tGB","toolName":"bash","content":[{"type":"text","text":"frontend/src/api/public-client.ts\nfrontend/src/pages/TechniquePage.tsx\n"}],"isError":false,"timestamp":1774869424542}}
{"type":"message","id":"4f365dc2","parentId":"021629f0","timestamp":"2026-03-30T11:17:09.655Z","message":{"role":"assistant","content":[{"type":"text","text":"Interesting — no `TechniquePageVersion` model found via grep. Let me check the models directly."},{"type":"toolCall","id":"toolu_01MjWbUWnMZMfWzWdv8Kg6ad","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find backend -name \"models*\" -type f"}},{"type":"toolCall","id":"toolu_01FE5Q3P2TQcjw1TAN9f8iMd","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls backend/models/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":160,"cacheRead":64282,"cacheWrite":325,"totalTokens":64768,"cost":{"input":0.000005,"output":0.004,"cacheRead":0.032140999999999996,"cacheWrite":0.00203125,"total":0.038177249999999996}},"stopReason":"toolUse","timestamp":1774869424543}}
{"type":"message","id":"d6a69a72","parentId":"4f365dc2","timestamp":"2026-03-30T11:17:09.671Z","message":{"role":"toolResult","toolCallId":"toolu_01MjWbUWnMZMfWzWdv8Kg6ad","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774869429670}}
{"type":"message","id":"78cf9521","parentId":"d6a69a72","timestamp":"2026-03-30T11:17:09.676Z","message":{"role":"toolResult","toolCallId":"toolu_01FE5Q3P2TQcjw1TAN9f8iMd","toolName":"bash","content":[{"type":"text","text":"ls: cannot access 'backend/models/': No such file or directory\n\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774869429674}}
{"type":"message","id":"068be958","parentId":"78cf9521","timestamp":"2026-03-30T11:17:12.729Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01LVLm33YpuYSsUtuvZAXjHK","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find backend -name \"*.py\" | xargs grep -l \"class.*Base\\|class.*Model\" | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":96,"cacheRead":64607,"cacheWrite":247,"totalTokens":64951,"cost":{"input":0.000005,"output":0.0024000000000000002,"cacheRead":0.0323035,"cacheWrite":0.00154375,"total":0.03625225}},"stopReason":"toolUse","timestamp":1774869429674}}
{"type":"message","id":"d6ffce8d","parentId":"068be958","timestamp":"2026-03-30T11:17:12.740Z","message":{"role":"toolResult","toolCallId":"toolu_01LVLm33YpuYSsUtuvZAXjHK","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774869432739}}
{"type":"message","id":"ea35cff8","parentId":"d6ffce8d","timestamp":"2026-03-30T11:17:16.001Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_018XYL4MWZzReRPFMrmZBvML","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls -la backend/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":73,"cacheRead":64854,"cacheWrite":110,"totalTokens":65038,"cost":{"input":0.000005,"output":0.001825,"cacheRead":0.032427,"cacheWrite":0.0006875000000000001,"total":0.034944499999999996}},"stopReason":"toolUse","timestamp":1774869432740}}
{"type":"message","id":"946eb61c","parentId":"ea35cff8","timestamp":"2026-03-30T11:17:16.015Z","message":{"role":"toolResult","toolCallId":"toolu_018XYL4MWZzReRPFMrmZBvML","toolName":"bash","content":[{"type":"text","text":"total 12\ndrwxrwxr-x 3 aux aux 4096 Mar 30 08:40 .\ndrwxrwxr-x 9 aux aux 4096 Mar 30 10:57 ..\ndrwxrwxr-x 2 aux aux 4096 Mar 30 08:40 pipeline\n"}],"isError":false,"timestamp":1774869436013}}
{"type":"message","id":"73c7cc20","parentId":"946eb61c","timestamp":"2026-03-30T11:17:21.206Z","message":{"role":"assistant","content":[{"type":"text","text":"Only a `pipeline/` dir in backend. Let me find the actual project structure — this is the local directory but development happens on ub01."},{"type":"toolCall","id":"toolu_01AroXr8JvDnv1LGyUU61yhS","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls -la"}},{"type":"toolCall","id":"toolu_01M5LekyXSj53RBo7ja96Q7J","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find . -name \"*.py\" -not -path \"./.gsd/*\" | head -40"}},{"type":"toolCall","id":"toolu_01UfSo3oPHgQzMoDGC6pMChu","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find . -name \"*.tsx\" -not -path \"./.gsd/*\" -not -path \"*/node_modules/*\" | head -40"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":260,"cacheRead":64964,"cacheWrite":173,"totalTokens":65398,"cost":{"input":0.000005,"output":0.006500000000000001,"cacheRead":0.032482,"cacheWrite":0.00108125,"total":0.04006824999999999}},"stopReason":"toolUse","timestamp":1774869436014}}
{"type":"message","id":"16fdaeb4","parentId":"73c7cc20","timestamp":"2026-03-30T11:17:21.230Z","message":{"role":"toolResult","toolCallId":"toolu_01AroXr8JvDnv1LGyUU61yhS","toolName":"bash","content":[{"type":"text","text":"total 44\ndrwxrwxr-x 9 aux aux 4096 Mar 30 10:57 .\ndrwxrwxr-x 4 aux aux 4096 Mar 29 17:47 ..\ndrwxrwxr-x 3 aux aux 4096 Mar 30 08:33 .artifacts\ndrwxrwxr-x 3 aux aux 4096 Mar 30 08:40 backend\ndrwxrwxr-x 2 aux aux 4096 Mar 30 07:38 .bg-shell\n-rw-rw-r-- 1 aux aux 1497 Mar 30 07:38 CLAUDE.md\ndrwxrwxr-x 5 aux aux 4096 Mar 30 11:12 frontend\ndrwxrwxr-x 8 aux aux 4096 Mar 30 11:15 .git\n-rw-rw-r-- 1 aux aux  353 Mar 29 21:39 .gitignore\ndrwxrwxr-x 6 aux aux 4096 Mar 30 11:16 .gsd\ndrwxrwxr-x 2 aux aux 4096 Mar 30 11:17 .gsd.lock\n"}],"isError":false,"timestamp":1774869441230}}
{"type":"message","id":"eb7e8549","parentId":"16fdaeb4","timestamp":"2026-03-30T11:17:21.255Z","message":{"role":"toolResult","toolCallId":"toolu_01M5LekyXSj53RBo7ja96Q7J","toolName":"bash","content":[{"type":"text","text":"./backend/pipeline/stages.py\n"}],"isError":false,"timestamp":1774869441255}}
{"type":"message","id":"f216c8bf","parentId":"eb7e8549","timestamp":"2026-03-30T11:17:21.260Z","message":{"role":"toolResult","toolCallId":"toolu_01UfSo3oPHgQzMoDGC6pMChu","toolName":"bash","content":[{"type":"text","text":"./frontend/src/pages/AdminPipeline.tsx\n./frontend/src/pages/CreatorDetail.tsx\n./frontend/src/pages/CreatorsBrowse.tsx\n./frontend/src/pages/AdminReports.tsx\n./frontend/src/pages/Home.tsx\n./frontend/src/pages/TechniquePage.tsx\n./frontend/src/pages/TopicsBrowse.tsx\n./frontend/src/pages/ReviewQueue.tsx\n./frontend/src/pages/MomentDetail.tsx\n./frontend/src/pages/SearchResults.tsx\n./frontend/src/App.tsx\n./frontend/src/components/ModeToggle.tsx\n./frontend/src/components/StatusBadge.tsx\n./frontend/src/components/AdminDropdown.tsx\n./frontend/src/components/ReportIssueModal.tsx\n./frontend/src/main.tsx\n"}],"isError":false,"timestamp":1774869441258}}
{"type":"message","id":"934745b2","parentId":"f216c8bf","timestamp":"2026-03-30T11:17:25.813Z","message":{"role":"assistant","content":[{"type":"text","text":"Right — the CLAUDE.md says the canonical codebase is on ub01. This local directory has limited files. Let me check what we're working with via SSH to understand the full model structure."},{"type":"toolCall","id":"toolu_019x6MCfSxjsDrPgX4MSRrdJ","name":"bash","arguments":{"command":"ssh ub01 \"find /vmPool/r/repos/xpltdco/chrysopedia/backend -name '*.py' | head -40\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":132,"cacheRead":65137,"cacheWrite":890,"totalTokens":66160,"cost":{"input":0.000005,"output":0.0033,"cacheRead":0.0325685,"cacheWrite":0.005562500000000001,"total":0.041436}},"stopReason":"toolUse","timestamp":1774869441259}}
{"type":"message","id":"c32e77c2","parentId":"934745b2","timestamp":"2026-03-30T11:17:26.569Z","message":{"role":"toolResult","toolCallId":"toolu_019x6MCfSxjsDrPgX4MSRrdJ","toolName":"bash","content":[{"type":"text","text":"/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/__init__.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/llm_client.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/stages.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/schemas.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/qdrant_client.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/embedding_client.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/schemas.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/main.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/config.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/database.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/redis_client.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/models.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/worker.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/health.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/techniques.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/pipeline.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/videos.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/topics.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/ingest.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/search.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/__init__.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/creators.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/reports.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/review.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/fixtures/mock_llm_responses.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/test_ingest.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/test_public_api.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/test_pipeline.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/test_review.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/conftest.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/test_search.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/tests/__init__.py\n/vmPool/r/repos/xpltdco/chrysopedia/backend/search_service.py\n"}],"isError":false,"timestamp":1774869446567}}
{"type":"message","id":"34895d33","parentId":"c32e77c2","timestamp":"2026-03-30T11:17:30.187Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now let me examine the models for versioning and the pipeline stages for where to inject the SHA."},{"type":"toolCall","id":"toolu_019GPAzxencPrErph6zoLLmJ","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/backend/models.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":105,"cacheRead":66027,"cacheWrite":1031,"totalTokens":67164,"cost":{"input":0.000005,"output":0.002625,"cacheRead":0.0330135,"cacheWrite":0.006443750000000001,"total":0.04208725}},"stopReason":"toolUse","timestamp":1774869446568}}
{"type":"message","id":"13b36b49","parentId":"34895d33","timestamp":"2026-03-30T11:17:30.496Z","message":{"role":"toolResult","toolCallId":"toolu_019GPAzxencPrErph6zoLLmJ","toolName":"bash","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    content_hash: Mapped[str | None] = mapped_column(String(64), nullable=True, index=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.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    versions: Mapped[list[TechniquePageVersion]] = sa_relationship(\n        back_populates=\"technique_page\", order_by=\"TechniquePageVersion.version_number\"\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass TechniquePageVersion(Base):\n    \"\"\"Snapshot of a TechniquePage before a pipeline re-synthesis overwrites it.\"\"\"\n    __tablename__ = \"technique_page_versions\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    technique_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    version_number: Mapped[int] = mapped_column(Integer, nullable=False)\n    content_snapshot: Mapped[dict] = mapped_column(JSONB, nullable=False)\n    pipeline_metadata: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n\n    # relationships\n    technique_page: Mapped[TechniquePage] = sa_relationship(\n        back_populates=\"versions\"\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\n\n# ── Content Report Enums ─────────────────────────────────────────────────────\n\nclass ReportType(str, enum.Enum):\n    \"\"\"Classification of user-submitted content reports.\"\"\"\n    inaccurate = \"inaccurate\"\n    missing_info = \"missing_info\"\n    wrong_attribution = \"wrong_attribution\"\n    formatting = \"formatting\"\n    other = \"other\"\n\n\nclass ReportStatus(str, enum.Enum):\n    \"\"\"Triage status for content reports.\"\"\"\n    open = \"open\"\n    acknowledged = \"acknowledged\"\n    resolved = \"resolved\"\n    dismissed = \"dismissed\"\n\n\n# ── Content Report ───────────────────────────────────────────────────────────\n\nclass ContentReport(Base):\n    \"\"\"User-submitted report about a content issue.\n\n    Generic: content_type + content_id can reference any entity\n    (technique_page, key_moment, creator, or general).\n    \"\"\"\n    __tablename__ = \"content_reports\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    content_type: Mapped[str] = mapped_column(\n        String(50), nullable=False, doc=\"Entity type: technique_page, key_moment, creator, general\"\n    )\n    content_id: Mapped[uuid.UUID | None] = mapped_column(\n        UUID(as_uuid=True), nullable=True, doc=\"FK to the reported entity (null for general reports)\"\n    )\n    content_title: Mapped[str | None] = mapped_column(\n        String(500), nullable=True, doc=\"Snapshot of entity title at report time\"\n    )\n    report_type: Mapped[ReportType] = mapped_column(\n        Enum(ReportType, name=\"report_type\", create_constraint=True),\n        nullable=False,\n    )\n    description: Mapped[str] = mapped_column(Text, nullable=False)\n    status: Mapped[ReportStatus] = mapped_column(\n        Enum(ReportStatus, name=\"report_status\", create_constraint=True),\n        default=ReportStatus.open,\n        server_default=\"open\",\n    )\n    admin_notes: Mapped[str | None] = mapped_column(Text, nullable=True)\n    page_url: Mapped[str | None] = mapped_column(\n        String(1000), nullable=True, doc=\"URL the user was on when reporting\"\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    resolved_at: Mapped[datetime | None] = mapped_column(nullable=True)\n\n\n# ── Pipeline Event ───────────────────────────────────────────────────────────\n\nclass PipelineEvent(Base):\n    \"\"\"Structured log entry for pipeline execution.\n\n    Captures per-stage start/complete/error/llm_call events with\n    token usage and optional response payloads for debugging.\n    \"\"\"\n    __tablename__ = \"pipeline_events\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    video_id: Mapped[uuid.UUID] = mapped_column(\n        UUID(as_uuid=True), nullable=False, index=True,\n    )\n    stage: Mapped[str] = mapped_column(\n        String(50), nullable=False, doc=\"stage2_segmentation, stage3_extraction, etc.\"\n    )\n    event_type: Mapped[str] = mapped_column(\n        String(30), nullable=False, doc=\"start, complete, error, llm_call\"\n    )\n    prompt_tokens: Mapped[int | None] = mapped_column(Integer, nullable=True)\n    completion_tokens: Mapped[int | None] = mapped_column(Integer, nullable=True)\n    total_tokens: Mapped[int | None] = mapped_column(Integer, nullable=True)\n    model: Mapped[str | None] = mapped_column(String(100), nullable=True)\n    duration_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)\n    payload: Mapped[dict | None] = mapped_column(\n        JSONB, nullable=True, doc=\"LLM response content, error details, stage metadata\"\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n"}],"isError":false,"timestamp":1774869450492}}
{"type":"message","id":"63b4aeb8","parentId":"13b36b49","timestamp":"2026-03-30T11:17:37.050Z","message":{"role":"assistant","content":[{"type":"text","text":"Found it — `TechniquePageVersion` has a `pipeline_metadata` JSONB column. That's where the commit SHA should go. Now let me check the pipeline stages to see where versions are created and what's currently in `pipeline_metadata`."},{"type":"toolCall","id":"toolu_01DAnZx4Fio9ByEvE11urbRq","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'pipeline_metadata\\|TechniquePageVersion\\|content_snapshot\\|version_number\\|commit\\|sha\\|git' /vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/stages.py\""}},{"type":"toolCall","id":"toolu_01DKtfYPDXbZEYcmpRXZbUVJ","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'version' /vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/stages.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":248,"cacheRead":67058,"cacheWrite":4898,"totalTokens":72205,"cost":{"input":0.000005,"output":0.006200000000000001,"cacheRead":0.033528999999999996,"cacheWrite":0.0306125,"total":0.0703465}},"stopReason":"toolUse","timestamp":1774869450495}}
{"type":"message","id":"c3ecd193","parentId":"63b4aeb8","timestamp":"2026-03-30T11:17:37.368Z","message":{"role":"toolResult","toolCallId":"toolu_01DAnZx4Fio9ByEvE11urbRq","toolName":"bash","content":[{"type":"text","text":"33:    TechniquePageVersion,\n80:            session.commit()\n289:        session.commit()\n401:        session.commit()\n510:        session.commit()\n557:def _capture_pipeline_metadata() -> dict:\n578:            prompt_hashes[filename] = hashlib.sha256(content).hexdigest()\n733:                                TechniquePageVersion.technique_page_id == existing.id\n736:                        version_number = version_count + 1\n738:                        version = TechniquePageVersion(\n740:                            version_number=version_number,\n741:                            content_snapshot=snapshot,\n742:                            pipeline_metadata=_capture_pipeline_metadata(),\n747:                            version_number, existing.slug,\n793:        session.commit()\n"}],"isError":false,"timestamp":1774869457368}}
{"type":"message","id":"ea1fd197","parentId":"c3ecd193","timestamp":"2026-03-30T11:17:37.372Z","message":{"role":"toolResult","toolCallId":"toolu_01DKtfYPDXbZEYcmpRXZbUVJ","toolName":"bash","content":[{"type":"text","text":"558:    \"\"\"Capture current pipeline configuration for version metadata.\n731:                        version_count = session.execute(\n736:                        version_number = version_count + 1\n738:                        version = TechniquePageVersion(\n740:                            version_number=version_number,\n744:                        session.add(version)\n747:                            version_number, existing.slug,\n751:                            \"Failed to create version snapshot for page slug=%s: %s\",\n754:                        # Best-effort versioning — continue with page update\n"}],"isError":false,"timestamp":1774869457370}}
{"type":"message","id":"b6833e77","parentId":"ea1fd197","timestamp":"2026-03-30T11:17:41.058Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me see the `_capture_pipeline_metadata` function in full, and the surrounding context where the version is created."},{"type":"toolCall","id":"toolu_01Rq9WiPrUEN2JH6W25NyXXt","name":"bash","arguments":{"command":"ssh ub01 \"sed -n '555,600p' /vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/stages.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":119,"cacheRead":71956,"cacheWrite":630,"totalTokens":72706,"cost":{"input":0.000005,"output":0.002975,"cacheRead":0.035977999999999996,"cacheWrite":0.0039375,"total":0.04289549999999999}},"stopReason":"toolUse","timestamp":1774869457371}}
{"type":"message","id":"e409eadc","parentId":"b6833e77","timestamp":"2026-03-30T11:17:41.382Z","message":{"role":"toolResult","toolCallId":"toolu_01Rq9WiPrUEN2JH6W25NyXXt","toolName":"bash","content":[{"type":"text","text":"\n\ndef _capture_pipeline_metadata() -> dict:\n    \"\"\"Capture current pipeline configuration for version metadata.\n\n    Returns a dict with model names, prompt file SHA-256 hashes, and stage\n    modality settings. Handles missing prompt files gracefully.\n    \"\"\"\n    settings = get_settings()\n    prompts_path = Path(settings.prompts_path)\n\n    # Hash each prompt template file\n    prompt_hashes: dict[str, str] = {}\n    prompt_files = [\n        \"stage2_segmentation.txt\",\n        \"stage3_extraction.txt\",\n        \"stage4_classification.txt\",\n        \"stage5_synthesis.txt\",\n    ]\n    for filename in prompt_files:\n        filepath = prompts_path / filename\n        try:\n            content = filepath.read_bytes()\n            prompt_hashes[filename] = hashlib.sha256(content).hexdigest()\n        except FileNotFoundError:\n            logger.warning(\"Prompt file not found for metadata capture: %s\", filepath)\n            prompt_hashes[filename] = \"\"\n        except OSError as exc:\n            logger.warning(\"Could not read prompt file %s: %s\", filepath, exc)\n            prompt_hashes[filename] = \"\"\n\n    return {\n        \"models\": {\n            \"stage2\": settings.llm_stage2_model,\n            \"stage3\": settings.llm_stage3_model,\n            \"stage4\": settings.llm_stage4_model,\n            \"stage5\": settings.llm_stage5_model,\n            \"embedding\": settings.embedding_model,\n        },\n        \"modalities\": {\n            \"stage2\": settings.llm_stage2_modality,\n            \"stage3\": settings.llm_stage3_modality,\n            \"stage4\": settings.llm_stage4_modality,\n            \"stage5\": settings.llm_stage5_modality,\n        },\n        \"prompt_hashes\": prompt_hashes,\n"}],"isError":false,"timestamp":1774869461380}}
{"type":"message","id":"08708854","parentId":"e409eadc","timestamp":"2026-03-30T11:17:45.208Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_015Bsi95rZpFztddSHhN7eme","name":"bash","arguments":{"command":"ssh ub01 \"sed -n '600,610p' /vmPool/r/repos/xpltdco/chrysopedia/backend/pipeline/stages.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":92,"cacheRead":72586,"cacheWrite":604,"totalTokens":73283,"cost":{"input":0.000005,"output":0.0023,"cacheRead":0.036293,"cacheWrite":0.003775,"total":0.042373}},"stopReason":"toolUse","timestamp":1774869461381}}
{"type":"message","id":"6c600673","parentId":"08708854","timestamp":"2026-03-30T11:17:45.517Z","message":{"role":"toolResult","toolCallId":"toolu_015Bsi95rZpFztddSHhN7eme","toolName":"bash","content":[{"type":"text","text":"        \"prompt_hashes\": prompt_hashes,\n    }\n\n\n# ── Stage 5: Synthesis ───────────────────────────────────────────────────────\n\n@celery_app.task(bind=True, max_retries=3, default_retry_delay=30)\ndef 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"}],"isError":false,"timestamp":1774869465515}}
{"type":"message","id":"af79d75e","parentId":"6c600673","timestamp":"2026-03-30T11:17:50.947Z","message":{"role":"assistant","content":[{"type":"text","text":"The `_capture_pipeline_metadata()` function returns models, modalities, and prompt_hashes — but no git commit SHA. This is exactly where it needs to be added.\n\nNow let me check the frontend to see how version metadata is displayed on the technique page."},{"type":"toolCall","id":"toolu_01DMviffhzYHUaN9MQWBxPKV","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'version\\|pipeline_metadata\\|commit\\|sha' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/pages/TechniquePage.tsx\""}},{"type":"toolCall","id":"toolu_01GgjPyHUuhWPEzxf46uqK2C","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'version' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/api/public-client.ts\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":242,"cacheRead":73190,"cacheWrite":224,"totalTokens":73657,"cost":{"input":0.000005,"output":0.006050000000000001,"cacheRead":0.036594999999999996,"cacheWrite":0.0014,"total":0.04404999999999999}},"stopReason":"toolUse","timestamp":1774869465516}}
{"type":"message","id":"845d221c","parentId":"af79d75e","timestamp":"2026-03-30T11:17:51.267Z","message":{"role":"toolResult","toolCallId":"toolu_01DMviffhzYHUaN9MQWBxPKV","toolName":"bash","content":[{"type":"text","text":"2: * Technique page detail view with version switching.\n4: * Fetches a single technique by slug. When historical versions exist,\n5: * shows a version switcher that lets admins view previous snapshots\n37:/** Extract the displayable fields from a version snapshot, matching TechniqueDetail shape. */\n75:  const [versions, setVersions] = useState<TechniquePageVersionSummary[]>([]);\n77:  const [versionDetail, setVersionDetail] =\n79:  const [versionLoading, setVersionLoading] = useState(false);\n81:  // Load technique + version list\n98:          // Load versions if any exist\n99:          if (data.version_count > 0) {\n104:              // Non-critical — version list fails silently\n128:  // Load version detail when selection changes\n181:  // Overlay snapshot fields when viewing a historical version\n182:  const isHistorical = selectedVersion !== \"current\" && versionDetail != null;\n184:    ? snapshotToOverlay(versionDetail.content_snapshot)\n203:      {/* Historical version banner */}\n205:        <div className=\"technique-banner technique-banner--version\">\n206:          📋 Viewing version {versionDetail.version_number} from{\" \"}\n207:          {formatDate(versionDetail.created_at)}\n274:            if (technique.version_count > 0) {\n276:                `${technique.version_count} version${technique.version_count !== 1 ? \"s\" : \"\"}`,\n286:          {versions.length > 0 && (\n287:            <div className=\"version-switcher\">\n288:              <label className=\"version-switcher__label\">Version:</label>\n290:                className=\"version-switcher__select\"\n293:                disabled={versionLoading}\n296:                {versions.map((v) => (\n297:                  <option key={v.version_number} value={String(v.version_number)}>\n298:                    v{v.version_number} — {formatDate(v.created_at)}\n302:              {versionLoading && (\n303:                <span className=\"version-switcher__loading\">Loading…</span>\n316:      {/* Pipeline metadata for historical versions */}\n317:      {isHistorical && versionDetail.pipeline_metadata && (\n318:        <div className=\"version-metadata\">\n319:          <h4 className=\"version-metadata__title\">Pipeline metadata (v{versionDetail.version_number})</h4>\n320:          <div className=\"version-metadata__grid\">\n321:            {\"model\" in versionDetail.pipeline_metadata && (\n322:              <div className=\"version-metadata__item\">\n323:                <span className=\"version-metadata__key\">Model</span>\n324:                <span className=\"version-metadata__value\">\n325:                  {String(versionDetail.pipeline_metadata.model)}\n329:            {\"captured_at\" in versionDetail.pipeline_metadata && (\n330:              <div className=\"version-metadata__item\">\n331:                <span className=\"version-metadata__key\">Captured</span>\n332:                <span className=\"version-metadata__value\">\n333:                  {formatDate(String(versionDetail.pipeline_metadata.captured_at))}\n337:            {typeof versionDetail.pipeline_metadata.prompt_hashes === \"object\" &&\n338:              versionDetail.pipeline_metadata.prompt_hashes !== null && (\n339:                <div className=\"version-metadata__item version-metadata__item--wide\">\n340:                  <span className=\"version-metadata__key\">Prompt hashes</span>\n341:                  <div className=\"version-metadata__hashes\">\n343:                      versionDetail.pipeline_metadata.prompt_hashes as Record<\n348:                      <div key={file} className=\"version-metadata__hash\">\n349:                        <span className=\"version-metadata__hash-file\">\n352:                        <code className=\"version-metadata__hash-value\">\n408:          {/* Key moments (always from live data — not versioned) */}\n"}],"isError":false,"timestamp":1774869471266}}
{"type":"message","id":"ebabd614","parentId":"845d221c","timestamp":"2026-03-30T11:17:51.271Z","message":{"role":"toolResult","toolCallId":"toolu_01GgjPyHUuhWPEzxf46uqK2C","toolName":"bash","content":[{"type":"text","text":"71:  version_count: number;\n75:  version_number: number;\n86:  version_number: number;\n244:    `${BASE}/techniques/${slug}/versions`,\n250:  versionNumber: number,\n253:    `${BASE}/techniques/${slug}/versions/${versionNumber}`,\n"}],"isError":false,"timestamp":1774869471269}}
{"type":"message","id":"30728a76","parentId":"ebabd614","timestamp":"2026-03-30T11:17:57.916Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I can see the full picture. The technique page already displays `pipeline_metadata` for historical versions — checking for `model`, `captured_at`, and `prompt_hashes` keys. But the current `_capture_pipeline_metadata()` returns `models` (plural), `modalities`, and `prompt_hashes` — no `model` or `captured_at`. There's a key mismatch between what the frontend expects and what the backend produces.\n\nLet me see the full technique page metadata display code more carefully, and the API endpoint for versions."},{"type":"toolCall","id":"toolu_01FvxopkYfWD4i9yxzYwgnBx","name":"bash","arguments":{"command":"ssh ub01 \"sed -n '316,360p' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/pages/TechniquePage.tsx\""}},{"type":"toolCall","id":"toolu_01TbsQcfwZXv3qd8UoZ2mJwu","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'version' /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/techniques.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":293,"cacheRead":73414,"cacheWrite":1365,"totalTokens":75073,"cost":{"input":0.000005,"output":0.007325000000000001,"cacheRead":0.036707,"cacheWrite":0.00853125,"total":0.05256825}},"stopReason":"toolUse","timestamp":1774869471270}}
{"type":"message","id":"e2aa2455","parentId":"30728a76","timestamp":"2026-03-30T11:17:58.239Z","message":{"role":"toolResult","toolCallId":"toolu_01FvxopkYfWD4i9yxzYwgnBx","toolName":"bash","content":[{"type":"text","text":"      {/* Pipeline metadata for historical versions */}\n      {isHistorical && versionDetail.pipeline_metadata && (\n        <div className=\"version-metadata\">\n          <h4 className=\"version-metadata__title\">Pipeline metadata (v{versionDetail.version_number})</h4>\n          <div className=\"version-metadata__grid\">\n            {\"model\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Model</span>\n                <span className=\"version-metadata__value\">\n                  {String(versionDetail.pipeline_metadata.model)}\n                </span>\n              </div>\n            )}\n            {\"captured_at\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Captured</span>\n                <span className=\"version-metadata__value\">\n                  {formatDate(String(versionDetail.pipeline_metadata.captured_at))}\n                </span>\n              </div>\n            )}\n            {typeof versionDetail.pipeline_metadata.prompt_hashes === \"object\" &&\n              versionDetail.pipeline_metadata.prompt_hashes !== null && (\n                <div className=\"version-metadata__item version-metadata__item--wide\">\n                  <span className=\"version-metadata__key\">Prompt hashes</span>\n                  <div className=\"version-metadata__hashes\">\n                    {Object.entries(\n                      versionDetail.pipeline_metadata.prompt_hashes as Record<\n                        string,\n                        string\n                      >,\n                    ).map(([file, hash]) => (\n                      <div key={file} className=\"version-metadata__hash\">\n                        <span className=\"version-metadata__hash-file\">\n                          {file.replace(/^.*\\//, \"\")}\n                        </span>\n                        <code className=\"version-metadata__hash-value\">\n                          {hash.slice(0, 12)}…\n                        </code>\n                      </div>\n                    ))}\n                  </div>\n                </div>\n              )}\n          </div>\n"}],"isError":false,"timestamp":1774869478239}}
{"type":"message","id":"da261946","parentId":"e2aa2455","timestamp":"2026-03-30T11:17:58.245Z","message":{"role":"toolResult","toolCallId":"toolu_01TbsQcfwZXv3qd8UoZ2mJwu","toolName":"bash","content":[{"type":"text","text":"137:    # Count versions for this page\n138:    version_count_stmt = select(func.count()).where(\n141:    version_count_result = await db.execute(version_count_stmt)\n142:    version_count = version_count_result.scalar() or 0\n149:        version_count=version_count,\n153:@router.get(\"/{slug}/versions\", response_model=TechniquePageVersionListResponse)\n154:async def list_technique_versions(\n158:    \"\"\"List all version snapshots for a technique page, newest first.\"\"\"\n166:    # Fetch versions ordered by version_number DESC\n167:    versions_stmt = (\n170:        .order_by(TechniquePageVersion.version_number.desc())\n172:    versions_result = await db.execute(versions_stmt)\n173:    versions = versions_result.scalars().all()\n175:    items = [TechniquePageVersionSummary.model_validate(v) for v in versions]\n179:@router.get(\"/{slug}/versions/{version_number}\", response_model=TechniquePageVersionDetail)\n180:async def get_technique_version(\n182:    version_number: int,\n185:    \"\"\"Get a specific version snapshot by version number.\"\"\"\n193:    # Fetch the specific version\n194:    version_stmt = (\n198:            TechniquePageVersion.version_number == version_number,\n201:    version_result = await db.execute(version_stmt)\n202:    version = version_result.scalar_one_or_none()\n203:    if version is None:\n206:            detail=f\"Version {version_number} not found for technique '{slug}'\",\n209:    return TechniquePageVersionDetail.model_validate(version)\n"}],"isError":false,"timestamp":1774869478243}}
{"type":"message","id":"fa3fdff7","parentId":"da261946","timestamp":"2026-03-30T11:18:02.487Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now let me check the schemas to see the version response types."},{"type":"toolCall","id":"toolu_01JXRYiCta8rznaioNtzpm8E","name":"bash","arguments":{"command":"ssh ub01 \"grep -n -A5 'VersionSummary\\|VersionDetail\\|VersionList\\|version_count\\|pipeline_metadata' /vmPool/r/repos/xpltdco/chrysopedia/backend/schemas.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":131,"cacheRead":74779,"cacheWrite":1301,"totalTokens":76212,"cost":{"input":0.000005,"output":0.003275,"cacheRead":0.0373895,"cacheWrite":0.00813125,"total":0.04880075}},"stopReason":"toolUse","timestamp":1774869478244}}
{"type":"message","id":"83852ea4","parentId":"fa3fdff7","timestamp":"2026-03-30T11:18:02.794Z","message":{"role":"toolResult","toolCallId":"toolu_01JXRYiCta8rznaioNtzpm8E","toolName":"bash","content":[{"type":"text","text":"317:    version_count: int = 0\n318-\n319-\n320-# ── Technique Page Versions ──────────────────────────────────────────────────\n321-\n322:class TechniquePageVersionSummary(BaseModel):\n323-    \"\"\"Lightweight version entry for list responses.\"\"\"\n324-    model_config = ConfigDict(from_attributes=True)\n325-\n326-    version_number: int\n327-    created_at: datetime\n328:    pipeline_metadata: dict | None = None\n329-\n330-\n331:class TechniquePageVersionDetail(BaseModel):\n332-    \"\"\"Full version snapshot for detail responses.\"\"\"\n333-    model_config = ConfigDict(from_attributes=True)\n334-\n335-    version_number: int\n336-    content_snapshot: dict\n337:    pipeline_metadata: dict | None = None\n338-    created_at: datetime\n339-\n340-\n341:class TechniquePageVersionListResponse(BaseModel):\n342-    \"\"\"Response for version list endpoint.\"\"\"\n343:    items: list[TechniquePageVersionSummary] = Field(default_factory=list)\n344-    total: int = 0\n345-\n346-\n347-# ── Topics ───────────────────────────────────────────────────────────────────\n348-\n"}],"isError":false,"timestamp":1774869482792}}
{"type":"message","id":"9a6e7a4a","parentId":"83852ea4","timestamp":"2026-03-30T11:18:07.927Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check if there's a git repo inside the Docker container (the pipeline runs inside Docker):"},{"type":"toolCall","id":"toolu_0144hCyJbKGvqEVzdJpXWm5c","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/Dockerfile\" 2>/dev/null || ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker/Dockerfile.api\" 2>/dev/null || ssh ub01 \"find /vmPool/r/repos/xpltdco/chrysopedia -name 'Dockerfile*' -maxdepth 2\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":187,"cacheRead":76080,"cacheWrite":467,"totalTokens":76735,"cost":{"input":0.000005,"output":0.004675,"cacheRead":0.03804,"cacheWrite":0.0029187500000000003,"total":0.04563874999999999}},"stopReason":"toolUse","timestamp":1774869482793}}
{"type":"message","id":"a15ae4b8","parentId":"9a6e7a4a","timestamp":"2026-03-30T11:18:08.574Z","message":{"role":"toolResult","toolCallId":"toolu_0144hCyJbKGvqEVzdJpXWm5c","toolName":"bash","content":[{"type":"text","text":"FROM python:3.12-slim\n\nWORKDIR /app\n\n# System deps\nRUN apt-get update && apt-get install -y --no-install-recommends \\\n    gcc libpq-dev curl \\\n    && rm -rf /var/lib/apt/lists/*\n\n# Python deps (cached layer)\nCOPY backend/requirements.txt /app/requirements.txt\nRUN pip install --no-cache-dir -r requirements.txt\n\n# Application code\nCOPY backend/ /app/\nCOPY prompts/ /prompts/\nCOPY config/ /config/\nCOPY alembic.ini /app/alembic.ini\nCOPY alembic/ /app/alembic/\n\nEXPOSE 8000\n\nHEALTHCHECK --interval=15s --timeout=5s --retries=3 --start-period=10s \\\n    CMD curl -f http://localhost:8000/health || exit 1\n\nCMD [\"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]\n"}],"isError":false,"timestamp":1774869488571}}
{"type":"message","id":"627429cf","parentId":"a15ae4b8","timestamp":"2026-03-30T11:18:13.323Z","message":{"role":"assistant","content":[{"type":"text","text":"Important finding: no `.git` directory is copied into the Docker container. `git rev-parse HEAD` won't work inside the container. The SHA needs to be captured at **build time** (via Docker build arg or baked into a file) or at **compose-up time** (via env var).\n\nLet me check the docker-compose.yml:"},{"type":"toolCall","id":"toolu_01R1CXbUs3KN2MzrTxyyEBf3","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker-compose.yml\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":159,"cacheRead":76547,"cacheWrite":446,"totalTokens":77153,"cost":{"input":0.000005,"output":0.003975,"cacheRead":0.038273499999999995,"cacheWrite":0.0027875,"total":0.04504099999999999}},"stopReason":"toolUse","timestamp":1774869488572}}
{"type":"message","id":"333d9762","parentId":"627429cf","timestamp":"2026-03-30T11:18:13.646Z","message":{"role":"toolResult","toolCallId":"toolu_01R1CXbUs3KN2MzrTxyyEBf3","toolName":"bash","content":[{"type":"text","text":"# Chrysopedia — Docker Compose\n# XPLTD convention: xpltd_chrysopedia project, bind mounts, dedicated bridge\n# Deployed to: /vmPool/r/compose/xpltd_chrysopedia/ (symlinked)\nname: xpltd_chrysopedia\n\nservices:\n  # ── PostgreSQL 16 ──\n  chrysopedia-db:\n    image: postgres:16-alpine\n    container_name: chrysopedia-db\n    restart: unless-stopped\n    environment:\n      POSTGRES_USER: ${POSTGRES_USER:-chrysopedia}\n      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-changeme}\n      POSTGRES_DB: ${POSTGRES_DB:-chrysopedia}\n    volumes:\n      - /vmPool/r/services/chrysopedia_db:/var/lib/postgresql/data\n    ports:\n      - \"127.0.0.1:5433:5432\"\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"pg_isready -U ${POSTGRES_USER:-chrysopedia}\"]\n      interval: 10s\n      timeout: 5s\n      retries: 5\n    stop_grace_period: 30s\n\n  # ── Redis (Celery broker + runtime config) ──\n  chrysopedia-redis:\n    image: redis:7-alpine\n    container_name: chrysopedia-redis\n    restart: unless-stopped\n    command: redis-server --save 60 1 --loglevel warning\n    volumes:\n      - /vmPool/r/services/chrysopedia_redis:/data\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD\", \"redis-cli\", \"ping\"]\n      interval: 10s\n      timeout: 5s\n      retries: 5\n    stop_grace_period: 15s\n\n  # ── Qdrant vector database ──\n  chrysopedia-qdrant:\n    image: qdrant/qdrant:v1.13.2\n    container_name: chrysopedia-qdrant\n    restart: unless-stopped\n    volumes:\n      - /vmPool/r/services/chrysopedia_qdrant:/qdrant/storage\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"bash -c 'echo > /dev/tcp/localhost/6333'\"]\n      interval: 15s\n      timeout: 5s\n      retries: 5\n      start_period: 10s\n    stop_grace_period: 30s\n\n  # ── Ollama (embedding model server) ──\n  chrysopedia-ollama:\n    image: ollama/ollama:latest\n    container_name: chrysopedia-ollama\n    restart: unless-stopped\n    volumes:\n      - /vmPool/r/services/chrysopedia_ollama:/root/.ollama\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD\", \"ollama\", \"list\"]\n      interval: 15s\n      timeout: 5s\n      retries: 5\n      start_period: 30s\n    stop_grace_period: 15s\n\n  # ── FastAPI application ──\n  chrysopedia-api:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.api\n    container_name: chrysopedia-api\n    restart: unless-stopped\n    env_file:\n      - path: .env\n        required: false\n    environment:\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    volumes:\n      - /vmPool/r/services/chrysopedia_data:/data\n      - ./config:/config:ro\n    depends_on:\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 15s\n\n  # ── Celery worker (pipeline stages 2-6) ──\n  chrysopedia-worker:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.api\n    container_name: chrysopedia-worker\n    restart: unless-stopped\n    env_file:\n      - path: .env\n        required: false\n    environment:\n      DATABASE_URL: postgresql+asyncpg://${POSTGRES_USER:-chrysopedia}:${POSTGRES_PASSWORD:-changeme}@chrysopedia-db:5432/${POSTGRES_DB:-chrysopedia}\n      REDIS_URL: redis://chrysopedia-redis:6379/0\n      QDRANT_URL: http://chrysopedia-qdrant:6333\n      EMBEDDING_API_URL: http://chrysopedia-ollama:11434/v1\n      PROMPTS_PATH: /prompts\n    command: [\"celery\", \"-A\", \"worker\", \"worker\", \"--loglevel=info\", \"--concurrency=1\"]\n    healthcheck:\n      test: [\"CMD-SHELL\", \"celery -A worker inspect ping --timeout=5 2>/dev/null | grep -q pong || exit 1\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 30s\n    volumes:\n      - /vmPool/r/services/chrysopedia_data:/data\n      - ./prompts:/prompts:ro\n      - ./config:/config:ro\n    depends_on:\n      chrysopedia-db:\n        condition: service_healthy\n      chrysopedia-redis:\n        condition: service_healthy\n      chrysopedia-qdrant:\n        condition: service_healthy\n      chrysopedia-ollama:\n        condition: service_healthy\n    networks:\n      - chrysopedia\n    stop_grace_period: 30s\n\n  # ── React web UI (nginx) ──\n  chrysopedia-web:\n    build:\n      context: .\n      dockerfile: docker/Dockerfile.web\n    container_name: chrysopedia-web-8096\n    restart: unless-stopped\n    ports:\n      - \"0.0.0.0:8096:80\"\n    depends_on:\n      - chrysopedia-api\n    networks:\n      - chrysopedia\n    healthcheck:\n      test: [\"CMD-SHELL\", \"curl -sf http://127.0.0.1:80/ || exit 1\"]\n      interval: 30s\n      timeout: 5s\n      retries: 3\n      start_period: 10s\n    stop_grace_period: 15s\n\nnetworks:\n  chrysopedia:\n    driver: bridge\n    ipam:\n      config:\n        - subnet: \"172.32.0.0/24\"\n"}],"isError":false,"timestamp":1774869493644}}
{"type":"message","id":"991dc748","parentId":"333d9762","timestamp":"2026-03-30T11:18:18.392Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the existing Dockerfile.api more carefully, and the Dockerfile.web to see if either uses build args:"},{"type":"toolCall","id":"toolu_016zLf7P8mCYi7xaX4yTcKMg","name":"bash","arguments":{"command":"ssh ub01 \"ls /vmPool/r/repos/xpltdco/chrysopedia/docker/\""}},{"type":"toolCall","id":"toolu_01K867wHjqpp8Uoin8bSpnjH","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker/Dockerfile.api\""}},{"type":"toolCall","id":"toolu_01QkPpy7cEgpK8Ws3hUc2WqM","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/docker/Dockerfile.web\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":238,"cacheRead":76993,"cacheWrite":1944,"totalTokens":79176,"cost":{"input":0.000005,"output":0.00595,"cacheRead":0.038496499999999996,"cacheWrite":0.012150000000000001,"total":0.0566015}},"stopReason":"toolUse","timestamp":1774869493645}}
{"type":"message","id":"6f8738d4","parentId":"991dc748","timestamp":"2026-03-30T11:18:18.725Z","message":{"role":"toolResult","toolCallId":"toolu_016zLf7P8mCYi7xaX4yTcKMg","toolName":"bash","content":[{"type":"text","text":"Dockerfile.api\nDockerfile.web\nnginx.conf\n"}],"isError":false,"timestamp":1774869498724}}
{"type":"message","id":"2e987386","parentId":"6f8738d4","timestamp":"2026-03-30T11:18:18.764Z","message":{"role":"toolResult","toolCallId":"toolu_01K867wHjqpp8Uoin8bSpnjH","toolName":"bash","content":[{"type":"text","text":"FROM python:3.12-slim\n\nWORKDIR /app\n\n# System deps\nRUN apt-get update && apt-get install -y --no-install-recommends \\\n    gcc libpq-dev curl \\\n    && rm -rf /var/lib/apt/lists/*\n\n# Python deps (cached layer)\nCOPY backend/requirements.txt /app/requirements.txt\nRUN pip install --no-cache-dir -r requirements.txt\n\n# Application code\nCOPY backend/ /app/\nCOPY prompts/ /prompts/\nCOPY config/ /config/\nCOPY alembic.ini /app/alembic.ini\nCOPY alembic/ /app/alembic/\n\nEXPOSE 8000\n\nHEALTHCHECK --interval=15s --timeout=5s --retries=3 --start-period=10s \\\n    CMD curl -f http://localhost:8000/health || exit 1\n\nCMD [\"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]\n"}],"isError":false,"timestamp":1774869498764}}
{"type":"message","id":"afd4a6e7","parentId":"2e987386","timestamp":"2026-03-30T11:18:18.768Z","message":{"role":"toolResult","toolCallId":"toolu_01QkPpy7cEgpK8Ws3hUc2WqM","toolName":"bash","content":[{"type":"text","text":"FROM node:22-alpine AS build\n\nWORKDIR /app\nCOPY frontend/package*.json ./\nRUN npm ci --ignore-scripts\nCOPY frontend/ .\nRUN npm run build\n\nFROM nginx:1.27-alpine\n\nCOPY --from=build /app/dist /usr/share/nginx/html\nCOPY docker/nginx.conf /etc/nginx/conf.d/default.conf\n\nEXPOSE 80\n\nCMD [\"nginx\", \"-g\", \"daemon off;\"]\n"}],"isError":false,"timestamp":1774869498767}}
{"type":"message","id":"d2b25816","parentId":"afd4a6e7","timestamp":"2026-03-30T11:18:22.135Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the config.py to understand what settings exist:"},{"type":"toolCall","id":"toolu_01BfGCxtZihbD6Srty8rCDXz","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/backend/config.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":97,"cacheRead":78937,"cacheWrite":695,"totalTokens":79730,"cost":{"input":0.000005,"output":0.002425,"cacheRead":0.0394685,"cacheWrite":0.00434375,"total":0.04624225}},"stopReason":"toolUse","timestamp":1774869498767}}
{"type":"message","id":"6d7e5a5f","parentId":"d2b25816","timestamp":"2026-03-30T11:18:22.430Z","message":{"role":"toolResult","toolCallId":"toolu_01BfGCxtZihbD6Srty8rCDXz","toolName":"bash","content":[{"type":"text","text":"\"\"\"Application configuration loaded from environment variables.\"\"\"\n\nfrom functools import lru_cache\n\nfrom pydantic_settings import BaseSettings\n\n\nclass Settings(BaseSettings):\n    \"\"\"Chrysopedia API settings.\n\n    Values are loaded from environment variables (or .env file via\n    pydantic-settings' dotenv support).\n    \"\"\"\n\n    # Database\n    database_url: str = \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia\"\n\n    # Redis\n    redis_url: str = \"redis://localhost:6379/0\"\n\n    # Application\n    app_env: str = \"development\"\n    app_log_level: str = \"info\"\n    app_secret_key: str = \"changeme-generate-a-real-secret\"\n\n    # CORS\n    cors_origins: list[str] = [\"*\"]\n\n    # LLM endpoint (OpenAI-compatible)\n    llm_api_url: str = \"http://localhost:11434/v1\"\n    llm_api_key: str = \"sk-placeholder\"\n    llm_model: str = \"fyn-llm-agent-chat\"\n    llm_fallback_url: str = \"http://localhost:11434/v1\"\n    llm_fallback_model: str = \"fyn-llm-agent-chat\"\n\n    # Per-stage model overrides (optional — falls back to llm_model / \"chat\")\n    llm_stage2_model: str | None = \"fyn-llm-agent-chat\"   # segmentation — mechanical, fast chat\n    llm_stage2_modality: str = \"chat\"\n    llm_stage3_model: str | None = \"fyn-llm-agent-think\"  # extraction — reasoning\n    llm_stage3_modality: str = \"thinking\"\n    llm_stage4_model: str | None = \"fyn-llm-agent-chat\"   # classification — mechanical, fast chat\n    llm_stage4_modality: str = \"chat\"\n    llm_stage5_model: str | None = \"fyn-llm-agent-think\"  # synthesis — reasoning\n    llm_stage5_modality: str = \"thinking\"\n\n    # Dynamic token estimation — each stage calculates max_tokens from input size\n    llm_max_tokens_hard_limit: int = 32768   # Hard ceiling for dynamic estimator\n    llm_max_tokens: int = 65536              # Fallback when no estimate is provided\n\n    # Embedding endpoint\n    embedding_api_url: str = \"http://localhost:11434/v1\"\n    embedding_model: str = \"nomic-embed-text\"\n    embedding_dimensions: int = 768\n\n    # Qdrant\n    qdrant_url: str = \"http://localhost:6333\"\n    qdrant_collection: str = \"chrysopedia\"\n\n    # Prompt templates\n    prompts_path: str = \"./prompts\"\n\n    # Review mode — when True, extracted moments go to review queue before publishing\n    review_mode: bool = True\n\n    # 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":1774869502427}}
{"type":"message","id":"e6f17367","parentId":"6d7e5a5f","timestamp":"2026-03-30T11:18:27.003Z","message":{"role":"assistant","content":[{"type":"text","text":"No `GIT_COMMIT_SHA` or similar setting. Let me also check what the frontend currently shows for the current (non-historical) version:"},{"type":"toolCall","id":"toolu_01JU2xrQGUAuNzyg4qeLYLam","name":"bash","arguments":{"command":"ssh ub01 \"sed -n '260,310p' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/pages/TechniquePage.tsx\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":131,"cacheRead":79632,"cacheWrite":958,"totalTokens":80722,"cost":{"input":0.000005,"output":0.003275,"cacheRead":0.039816,"cacheWrite":0.005987500000000001,"total":0.049083499999999995}},"stopReason":"toolUse","timestamp":1774869502428}}
{"type":"message","id":"85de47b6","parentId":"e6f17367","timestamp":"2026-03-30T11:18:27.739Z","message":{"role":"toolResult","toolCallId":"toolu_01JU2xrQGUAuNzyg4qeLYLam","toolName":"bash","content":[{"type":"text","text":"            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            const parts = [\n              `Compiled from ${sourceCount} source${sourceCount !== 1 ? \"s\" : \"\"}`,\n              `${momentCount} key moment${momentCount !== 1 ? \"s\" : \"\"}`,\n            ];\n            if (technique.version_count > 0) {\n              parts.push(\n                `${technique.version_count} version${technique.version_count !== 1 ? \"s\" : \"\"}`,\n              );\n            }\n            parts.push(`Last updated ${updated}`);\n            return parts.join(\" · \");\n          })()}\n        </div>\n\n        {/* Version switcher + report button row */}\n        <div className=\"technique-header__actions\">\n          {versions.length > 0 && (\n            <div className=\"version-switcher\">\n              <label className=\"version-switcher__label\">Version:</label>\n              <select\n                className=\"version-switcher__select\"\n                value={selectedVersion}\n                onChange={(e) => setSelectedVersion(e.target.value)}\n                disabled={versionLoading}\n              >\n                <option value=\"current\">Current (live)</option>\n                {versions.map((v) => (\n                  <option key={v.version_number} value={String(v.version_number)}>\n                    v{v.version_number} — {formatDate(v.created_at)}\n                  </option>\n                ))}\n              </select>\n              {versionLoading && (\n                <span className=\"version-switcher__loading\">Loading…</span>\n              )}\n            </div>\n          )}\n          <button\n            className=\"btn btn--secondary btn--small report-issue-btn\"\n            onClick={() => setShowReport(true)}\n          >\n"}],"isError":false,"timestamp":1774869507737}}
{"type":"message","id":"eaeaefb1","parentId":"85de47b6","timestamp":"2026-03-30T11:18:33.282Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me also check the pipeline metadata display — the slice says \"Viewing a technique page version shows the commit hash in the metadata panel.\" Let me see lines around 316-360 more carefully, plus look for the \"models\" key handling (which the backend actually sends):"},{"type":"toolCall","id":"toolu_01Sz5sFxtSiZwarhMTYx8DWf","name":"bash","arguments":{"command":"ssh ub01 \"sed -n '316,375p' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/pages/TechniquePage.tsx\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":155,"cacheRead":80590,"cacheWrite":666,"totalTokens":81412,"cost":{"input":0.000005,"output":0.003875,"cacheRead":0.040295,"cacheWrite":0.0041625,"total":0.0483375}},"stopReason":"toolUse","timestamp":1774869507738}}
{"type":"message","id":"47c2a3ba","parentId":"eaeaefb1","timestamp":"2026-03-30T11:18:33.603Z","message":{"role":"toolResult","toolCallId":"toolu_01Sz5sFxtSiZwarhMTYx8DWf","toolName":"bash","content":[{"type":"text","text":"      {/* Pipeline metadata for historical versions */}\n      {isHistorical && versionDetail.pipeline_metadata && (\n        <div className=\"version-metadata\">\n          <h4 className=\"version-metadata__title\">Pipeline metadata (v{versionDetail.version_number})</h4>\n          <div className=\"version-metadata__grid\">\n            {\"model\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Model</span>\n                <span className=\"version-metadata__value\">\n                  {String(versionDetail.pipeline_metadata.model)}\n                </span>\n              </div>\n            )}\n            {\"captured_at\" in versionDetail.pipeline_metadata && (\n              <div className=\"version-metadata__item\">\n                <span className=\"version-metadata__key\">Captured</span>\n                <span className=\"version-metadata__value\">\n                  {formatDate(String(versionDetail.pipeline_metadata.captured_at))}\n                </span>\n              </div>\n            )}\n            {typeof versionDetail.pipeline_metadata.prompt_hashes === \"object\" &&\n              versionDetail.pipeline_metadata.prompt_hashes !== null && (\n                <div className=\"version-metadata__item version-metadata__item--wide\">\n                  <span className=\"version-metadata__key\">Prompt hashes</span>\n                  <div className=\"version-metadata__hashes\">\n                    {Object.entries(\n                      versionDetail.pipeline_metadata.prompt_hashes as Record<\n                        string,\n                        string\n                      >,\n                    ).map(([file, hash]) => (\n                      <div key={file} className=\"version-metadata__hash\">\n                        <span className=\"version-metadata__hash-file\">\n                          {file.replace(/^.*\\//, \"\")}\n                        </span>\n                        <code className=\"version-metadata__hash-value\">\n                          {hash.slice(0, 12)}…\n                        </code>\n                      </div>\n                    ))}\n                  </div>\n                </div>\n              )}\n          </div>\n        </div>\n      )}\n\n      {/* Report modal */}\n      {showReport && (\n        <ReportIssueModal\n          contentType=\"technique_page\"\n          contentId={technique.id}\n          contentTitle={technique.title}\n          onClose={() => setShowReport(false)}\n        />\n      )}\n\n      <div className=\"technique-columns\">\n        <div className=\"technique-columns__main\">\n"}],"isError":false,"timestamp":1774869513601}}
{"type":"message","id":"4cc2b2b0","parentId":"47c2a3ba","timestamp":"2026-03-30T11:18:37.309Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me look at the existing Alembic migrations to understand the pattern:"},{"type":"toolCall","id":"toolu_01G1kYk778vzP7RkhAKu6v61","name":"bash","arguments":{"command":"ssh ub01 \"ls -la /vmPool/r/repos/xpltdco/chrysopedia/alembic/versions/\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":102,"cacheRead":81256,"cacheWrite":786,"totalTokens":82145,"cost":{"input":0.000005,"output":0.00255,"cacheRead":0.040628,"cacheWrite":0.0049125,"total":0.0480955}},"stopReason":"toolUse","timestamp":1774869513602}}
{"type":"message","id":"46466fab","parentId":"4cc2b2b0","timestamp":"2026-03-30T11:18:37.634Z","message":{"role":"toolResult","toolCallId":"toolu_01G1kYk778vzP7RkhAKu6v61","toolName":"bash","content":[{"type":"text","text":"total 45\ndrwxrwsr-x 2 jlightner jlightner    7 Mar 30 05:03 .\ndrwxrwsr-x 3 jlightner jlightner    5 Mar 29 20:22 ..\n-rw-rw-r-- 1 jlightner jlightner 9451 Mar 29 20:12 001_initial.py\n-rw-rw-r-- 1 jlightner jlightner 1392 Mar 30 02:31 002_technique_page_versions.py\n-rw-rw-r-- 1 jlightner jlightner 1979 Mar 30 02:52 003_content_reports.py\n-rw-rw-r-- 1 jlightner jlightner 1455 Mar 30 03:20 004_pipeline_events.py\n-rw-rw-r-- 1 jlightner jlightner  670 Mar 30 05:03 005_content_hash.py\n"}],"isError":false,"timestamp":1774869517632}}
{"type":"message","id":"2c407e7f","parentId":"46466fab","timestamp":"2026-03-30T11:18:42.851Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. No new DB migration needed — `pipeline_metadata` is already a JSONB column, so adding `git_commit_sha` to the dict is just a code change.\n\nLet me also check if the Dockerfile.api has the root Dockerfile reference I saw earlier:"},{"type":"toolCall","id":"toolu_01VgbZgfZAyMnwutYQKHgXoo","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/Dockerfile\" 2>/dev/null; echo \"---exit code: $?\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":155,"cacheRead":82042,"cacheWrite":381,"totalTokens":82579,"cost":{"input":0.000005,"output":0.003875,"cacheRead":0.041020999999999995,"cacheWrite":0.00238125,"total":0.04728225}},"stopReason":"toolUse","timestamp":1774869517633}}
{"type":"message","id":"2f45a13c","parentId":"2c407e7f","timestamp":"2026-03-30T11:18:43.182Z","message":{"role":"toolResult","toolCallId":"toolu_01VgbZgfZAyMnwutYQKHgXoo","toolName":"bash","content":[{"type":"text","text":"---exit code: 1\n"}],"isError":false,"timestamp":1774869523180}}
{"type":"message","id":"2324017e","parentId":"2f45a13c","timestamp":"2026-03-30T11:18:46.765Z","message":{"role":"assistant","content":[{"type":"text","text":"Only `docker/Dockerfile.api`. Now let me check the health endpoint for any version info patterns:"},{"type":"toolCall","id":"toolu_01RqG5cRQR4XNfAZrwRB84gT","name":"bash","arguments":{"command":"ssh ub01 \"cat /vmPool/r/repos/xpltdco/chrysopedia/backend/routers/health.py\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":108,"cacheRead":82423,"cacheWrite":174,"totalTokens":82706,"cost":{"input":0.000005,"output":0.0027,"cacheRead":0.0412115,"cacheWrite":0.0010875000000000001,"total":0.045003999999999995}},"stopReason":"toolUse","timestamp":1774869523181}}
{"type":"message","id":"8d19869d","parentId":"2324017e","timestamp":"2026-03-30T11:18:47.091Z","message":{"role":"toolResult","toolCallId":"toolu_01RqG5cRQR4XNfAZrwRB84gT","toolName":"bash","content":[{"type":"text","text":"\"\"\"Health check endpoints for Chrysopedia API.\"\"\"\n\nimport logging\n\nfrom fastapi import APIRouter, Depends\nfrom sqlalchemy import text\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\nfrom database import get_session\nfrom schemas import HealthResponse\n\nlogger = logging.getLogger(\"chrysopedia.health\")\n\nrouter = APIRouter(tags=[\"health\"])\n\n\n@router.get(\"/health\", response_model=HealthResponse)\nasync def health_check(db: AsyncSession = Depends(get_session)) -> HealthResponse:\n    \"\"\"Root health check — verifies API is running and DB is reachable.\"\"\"\n    db_status = \"unknown\"\n    try:\n        result = await db.execute(text(\"SELECT 1\"))\n        result.scalar()\n        db_status = \"connected\"\n    except Exception:\n        logger.warning(\"Database health check failed\", exc_info=True)\n        db_status = \"unreachable\"\n\n    return HealthResponse(\n        status=\"ok\",\n        service=\"chrysopedia-api\",\n        version=\"0.1.0\",\n        database=db_status,\n    )\n"}],"isError":false,"timestamp":1774869527089}}
{"type":"message","id":"30f1e1ff","parentId":"8d19869d","timestamp":"2026-03-30T11:18:52.422Z","message":{"role":"assistant","content":[{"type":"text","text":"The health endpoint has a hardcoded `version=\"0.1.0\"`. That's related to S06 (App Footer with Version Info) — noted but not this slice's concern.\n\nLet me also look at how the `docker compose build` is typically invoked — to understand if there's a build script:"},{"type":"toolCall","id":"toolu_01YHGMm9rvveifG7izTMQW6x","name":"bash","arguments":{"command":"ssh ub01 \"ls /vmPool/r/repos/xpltdco/chrysopedia/*.sh /vmPool/r/repos/xpltdco/chrysopedia/Makefile /vmPool/r/repos/xpltdco/chrysopedia/scripts/\" 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":193,"cacheRead":82597,"cacheWrite":381,"totalTokens":83172,"cost":{"input":0.000005,"output":0.004825,"cacheRead":0.041298499999999995,"cacheWrite":0.00238125,"total":0.04850975}},"stopReason":"toolUse","timestamp":1774869527090}}
{"type":"message","id":"6cac3d4c","parentId":"30f1e1ff","timestamp":"2026-03-30T11:18:52.763Z","message":{"role":"toolResult","toolCallId":"toolu_01YHGMm9rvveifG7izTMQW6x","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 2"}],"details":{},"isError":true,"timestamp":1774869532761}}
{"type":"message","id":"9c75ca1d","parentId":"6cac3d4c","timestamp":"2026-03-30T11:18:57.599Z","message":{"role":"assistant","content":[{"type":"text","text":"No build scripts or Makefile. Builds are done manually with `docker compose build`. \n\nNow I have the full picture. Let me also quickly check what the existing `.env` looks like for any SHA-related vars:"},{"type":"toolCall","id":"toolu_019QuoWhT7RrN1dfVqToGzsF","name":"bash","arguments":{"command":"ssh ub01 \"grep -i 'commit\\|sha\\|git\\|version' /vmPool/r/repos/xpltdco/chrysopedia/.env\" 2>/dev/null; echo \"exit: $?\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":155,"cacheRead":82978,"cacheWrite":224,"totalTokens":83358,"cost":{"input":0.000005,"output":0.003875,"cacheRead":0.041489,"cacheWrite":0.0014,"total":0.046769}},"stopReason":"toolUse","timestamp":1774869532762}}
{"type":"message","id":"98371a36","parentId":"9c75ca1d","timestamp":"2026-03-30T11:18:57.931Z","message":{"role":"toolResult","toolCallId":"toolu_019QuoWhT7RrN1dfVqToGzsF","toolName":"bash","content":[{"type":"text","text":"exit: 1\n"}],"isError":false,"timestamp":1774869537928}}
{"type":"message","id":"12e11144","parentId":"98371a36","timestamp":"2026-03-30T11:19:02.063Z","message":{"role":"assistant","content":[{"type":"text","text":"No existing git/version env vars. Let me check one more thing — the CSS styles for the version-metadata component:"},{"type":"toolCall","id":"toolu_01Uwbbw5Mh1jjjPJR75k5Byv","name":"bash","arguments":{"command":"ssh ub01 \"grep -n 'version-metadata' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/pages/TechniquePage.css\" 2>/dev/null || ssh ub01 \"find /vmPool/r/repos/xpltdco/chrysopedia/frontend/src -name '*.css' | xargs grep -l 'version-metadata' 2>/dev/null\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":183,"cacheRead":83202,"cacheWrite":172,"totalTokens":83558,"cost":{"input":0.000005,"output":0.004575,"cacheRead":0.041601,"cacheWrite":0.001075,"total":0.047256}},"stopReason":"toolUse","timestamp":1774869537929}}
{"type":"message","id":"43e7eadd","parentId":"12e11144","timestamp":"2026-03-30T11:19:02.673Z","message":{"role":"toolResult","toolCallId":"toolu_01Uwbbw5Mh1jjjPJR75k5Byv","toolName":"bash","content":[{"type":"text","text":"/vmPool/r/repos/xpltdco/chrysopedia/frontend/src/App.css\n"}],"isError":false,"timestamp":1774869542671}}
{"type":"message","id":"76831b21","parentId":"43e7eadd","timestamp":"2026-03-30T11:19:06.120Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013cRhmavmPu8ZxBPd42QW8f","name":"bash","arguments":{"command":"ssh ub01 \"grep -n -A3 'version-metadata' /vmPool/r/repos/xpltdco/chrysopedia/frontend/src/App.css\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":95,"cacheRead":83374,"cacheWrite":220,"totalTokens":83690,"cost":{"input":0.000005,"output":0.002375,"cacheRead":0.041686999999999995,"cacheWrite":0.0013750000000000001,"total":0.045441999999999996}},"stopReason":"toolUse","timestamp":1774869542672}}
{"type":"message","id":"6d681189","parentId":"76831b21","timestamp":"2026-03-30T11:19:06.428Z","message":{"role":"toolResult","toolCallId":"toolu_013cRhmavmPu8ZxBPd42QW8f","toolName":"bash","content":[{"type":"text","text":"2397:.version-metadata {\n2398-  background: var(--color-bg-surface);\n2399-  border: 1px solid var(--color-border);\n2400-  border-radius: 8px;\n--\n2405:.version-metadata__title {\n2406-  color: var(--color-text-secondary);\n2407-  font-size: 0.8rem;\n2408-  font-weight: 600;\n--\n2414:.version-metadata__grid {\n2415-  display: flex;\n2416-  gap: 1.5rem;\n2417-  flex-wrap: wrap;\n--\n2420:.version-metadata__item {\n2421-  display: flex;\n2422-  flex-direction: column;\n2423-  gap: 0.15rem;\n--\n2426:.version-metadata__item--wide {\n2427-  flex-basis: 100%;\n2428-}\n2429-\n2430:.version-metadata__key {\n2431-  color: var(--color-text-muted);\n2432-  font-size: 0.75rem;\n2433-  text-transform: uppercase;\n--\n2437:.version-metadata__value {\n2438-  color: var(--color-text-primary);\n2439-  font-size: 0.85rem;\n2440-}\n--\n2442:.version-metadata__hashes {\n2443-  display: flex;\n2444-  flex-direction: column;\n2445-  gap: 0.2rem;\n--\n2449:.version-metadata__hash {\n2450-  display: flex;\n2451-  align-items: center;\n2452-  gap: 0.5rem;\n--\n2456:.version-metadata__hash-file {\n2457-  color: var(--color-text-secondary);\n2458-}\n2459-\n2460:.version-metadata__hash-value {\n2461-  font-family: \"SF Mono\", \"Fira Code\", monospace;\n2462-  color: var(--color-text-muted);\n2463-  font-size: 0.75rem;\n"}],"isError":false,"timestamp":1774869546426}}
{"type":"message","id":"70b41f8d","parentId":"6d681189","timestamp":"2026-03-30T11:19:40.724Z","message":{"role":"assistant","content":[{"type":"text","text":"I now have everything I need. Let me write the research document."},{"type":"toolCall","id":"toolu_01Rp28hiHuQkU26Y28xcT17V","name":"gsd_summary_save","arguments":{"artifact_type":"RESEARCH","content":"# S03 Research: Git Commit SHA in Pipeline Version Metadata\n\n## Summary\n\nStraightforward slice. The version metadata infrastructure already exists — `TechniquePageVersion.pipeline_metadata` is a JSONB column, `_capture_pipeline_metadata()` in `stages.py` builds the dict, and the frontend already renders a metadata panel for historical versions. The work is: (1) capture the git commit SHA at Docker build time, (2) inject it into `_capture_pipeline_metadata()`, and (3) add a commit hash display row in the frontend metadata panel.\n\nThe only non-trivial aspect: no `.git` directory exists inside the Docker container, so `git rev-parse HEAD` can't run at runtime inside the worker. The SHA must be baked in at build time.\n\n## Recommendation\n\nUse a Docker build arg (`GIT_COMMIT_SHA`) written to a file (`/app/.git-commit`) during image build. The `_capture_pipeline_metadata()` function reads this file. The `docker-compose.yml` passes the arg using shell command substitution. Fallback to `\"unknown\"` when the file is missing (local dev without Docker).\n\nThree tasks:\n1. **Dockerfile + compose** — add build arg, write SHA to file\n2. **Backend** — read SHA file, add to `_capture_pipeline_metadata()` return dict\n3. **Frontend** — add commit hash display in the version metadata panel\n\n## Implementation Landscape\n\n### Backend — `_capture_pipeline_metadata()` (pipeline/stages.py, lines 557–601)\n\nCurrently returns:\n```python\n{\n    \"models\": { \"stage2\": ..., \"stage3\": ..., \"stage4\": ..., \"stage5\": ..., \"embedding\": ... },\n    \"modalities\": { \"stage2\": ..., \"stage3\": ..., \"stage4\": ..., \"stage5\": ... },\n    \"prompt_hashes\": { \"stage2_segmentation.txt\": ..., ... },\n}\n```\n\nAdd `\"git_commit_sha\": \"<sha>\"` to this dict. Read from `/app/.git-commit` (Docker) or attempt `git rev-parse --short HEAD` as fallback (local dev). Use a helper function with error suppression — if neither works, return `\"unknown\"`.\n\n**No DB migration needed.** `pipeline_metadata` is JSONB — adding a new key is purely a code change.\n\n### Docker — `docker/Dockerfile.api`\n\nAdd:\n```dockerfile\nARG GIT_COMMIT_SHA=unknown\nRUN echo \"${GIT_COMMIT_SHA}\" > /app/.git-commit\n```\n\nPlace after the `COPY backend/ /app/` line so it doesn't bust the cache for code changes.\n\n### Docker Compose — `docker-compose.yml`\n\nAdd build arg to both `chrysopedia-api` and `chrysopedia-worker` services (they share the same Dockerfile):\n```yaml\nbuild:\n  context: .\n  dockerfile: docker/Dockerfile.api\n  args:\n    GIT_COMMIT_SHA: ${GIT_COMMIT_SHA:-unknown}\n```\n\nAt build time, invoke with:\n```bash\nGIT_COMMIT_SHA=$(git rev-parse --short HEAD) docker compose build\n```\n\nOr export `GIT_COMMIT_SHA` before building. The `:-unknown` default means builds without the env var still succeed.\n\n### Config — `backend/config.py`\n\nAdd `git_commit_sha: str = \"unknown\"` to Settings. This allows overriding via env var as an alternative to the file-based approach (useful for local dev). The `_capture_pipeline_metadata()` helper should check the file first, then fall back to `settings.git_commit_sha`, then `\"unknown\"`.\n\n### Frontend — `frontend/src/pages/TechniquePage.tsx` (lines 316–360)\n\nThe version metadata panel currently checks for `\"model\"`, `\"captured_at\"`, and `\"prompt_hashes\"` keys. Add a check for `\"git_commit_sha\"`:\n\n```tsx\n{\"git_commit_sha\" in versionDetail.pipeline_metadata && (\n  <div className=\"version-metadata__item\">\n    <span className=\"version-metadata__key\">Commit</span>\n    <code className=\"version-metadata__value\" style={{ fontFamily: '\"SF Mono\", \"Fira Code\", monospace' }}>\n      {String(versionDetail.pipeline_metadata.git_commit_sha).slice(0, 7)}\n    </code>\n  </div>\n)}\n```\n\nUses the existing `version-metadata__item` CSS classes — no new styles needed. The monospace font from `version-metadata__hash-value` class can be reused or applied inline.\n\n### Frontend note — existing metadata key mismatch\n\nThe backend sends `\"models\"` (plural, a dict of per-stage models) but the frontend checks for `\"model\"` (singular). This means the \"Model\" row in the metadata panel never actually renders with current data. This is a pre-existing bug — not in scope for this slice, but the planner should be aware.\n\n### Verification approach\n\n1. **Unit**: Run `_capture_pipeline_metadata()` locally → confirm `git_commit_sha` key present\n2. **Docker build**: `docker compose build` with `GIT_COMMIT_SHA` arg → `docker exec chrysopedia-api cat /app/.git-commit` shows the SHA\n3. **Frontend**: Navigate to a technique page with versions → switch to a historical version → confirm commit hash appears in metadata panel\n4. **TypeScript**: `npm run build` in frontend → zero errors\n\n### File inventory\n\n| File | Change |\n|------|--------|\n| `docker/Dockerfile.api` | Add `ARG GIT_COMMIT_SHA` + `RUN echo` |\n| `docker-compose.yml` | Add `args:` block to api and worker build sections |\n| `backend/config.py` | Add `git_commit_sha` setting |\n| `backend/pipeline/stages.py` | Add SHA reading helper, extend `_capture_pipeline_metadata()` |\n| `frontend/src/pages/TechniquePage.tsx` | Add commit hash display in metadata panel |\n\n### Risk\n\nLow. No schema changes. No new dependencies. The JSONB column accepts any dict shape. The frontend change is additive (conditional render of a new key). Docker build arg has a safe default.\n","milestone_id":"M006","slice_id":"S03"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1630,"cacheRead":83594,"cacheWrite":640,"totalTokens":85865,"cost":{"input":0.000005,"output":0.04075,"cacheRead":0.041797,"cacheWrite":0.004,"total":0.086552}},"stopReason":"toolUse","timestamp":1774869546427}}
{"type":"message","id":"b6db8fa1","parentId":"70b41f8d","timestamp":"2026-03-30T11:19:40.727Z","message":{"role":"toolResult","toolCallId":"toolu_01Rp28hiHuQkU26Y28xcT17V","toolName":"gsd_summary_save","content":[{"type":"text","text":"Saved RESEARCH artifact to milestones/M006/slices/S03/S03-RESEARCH.md"}],"details":{"operation":"save_summary","path":"milestones/M006/slices/S03/S03-RESEARCH.md","artifact_type":"RESEARCH"},"isError":false,"timestamp":1774869580726}}
{"type":"message","id":"ebb53bef","parentId":"b6db8fa1","timestamp":"2026-03-30T11:19:43.794Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S03 researched."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":11,"cacheRead":84234,"cacheWrite":1668,"totalTokens":85914,"cost":{"input":0.000005,"output":0.000275,"cacheRead":0.042116999999999995,"cacheWrite":0.010425,"total":0.052821999999999994}},"stopReason":"stop","timestamp":1774869580726}}
