{"type":"thinking_level_change","id":"0fc196dc","parentId":null,"timestamp":"2026-03-30T06:47:34.613Z","thinkingLevel":"off"}
{"type":"model_change","id":"4bf0cef8","parentId":"0fc196dc","timestamp":"2026-03-30T06:47:34.614Z","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\nA researcher explored the codebase and a planner decomposed the work — you are the executor. The task plan below is your authoritative contract for the slice goal and verification bar, but it is not a substitute for local reality. Verify the referenced files and surrounding code before changing them. Do not do broad re-research or spontaneous re-planning. Small factual corrections, file-path fixes, and local implementation adaptations are part of execution. Escalate to `blocker_discovered: true` only when the slice contract or downstream task graph no longer holds.\n\n\n\n\n\n## Backing Source Artifacts\n- Slice plan: `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/S03-PLAN.md`\n- Task plan source: `.gsd/milestones/M004/slices/S03/tasks/T01-PLAN.md`\n- Prior task summaries in this slice:\n- (no prior tasks)\n\nThen:\n0. Narrate step transitions, key implementation decisions, and verification outcomes as you work. Keep it terse — one line between tool-call clusters, not between every call — but write complete sentences in user-facing prose, not shorthand notes or scratchpad fragments.\n1.  Follow any activated skills before writing code. If no skills match this task, skip this step.\n2. Execute the steps in the inlined task plan, adapting minor local mismatches when the surrounding code differs from the planner's snapshot\n3. Build the real thing. If the task plan says \"create login endpoint\", build an endpoint that actually authenticates against a real store, not one that returns a hardcoded success response. If the task plan says \"create dashboard page\", build a page that renders real data from the API, not a component with hardcoded props. Stubs and mocks are for tests, not for the shipped feature.\n4. Write or update tests as part of execution — tests are verification, not an afterthought. If the slice plan defines test files in its Verification section and this is the first task, create them (they should initially fail).\n5. When implementing non-trivial runtime behavior (async flows, API boundaries, background processes, error paths), add or preserve agent-usable observability. Skip this for simple changes where it doesn't apply.\n\n   **Background process rule:** Never use bare `command &` to run background processes. The shell's `&` operator leaves stdout/stderr attached to the parent, which causes the Bash tool to hang indefinitely waiting for those streams to close. Always redirect output before backgrounding:\n   - Correct: `command > /dev/null 2>&1 &` or `nohup command > /dev/null 2>&1 &`\n   - Example: `python -m http.server 8080 > /dev/null 2>&1 &` (NOT `python -m http.server 8080 &`)\n   - Preferred: use the `bg_shell` tool if available — it manages process lifecycle correctly without stream-inheritance issues\n6. If the task plan includes a **Failure Modes** section (Q5), implement the error/timeout/malformed handling specified. Verify each dependency's failure path is handled. Skip if the section is absent.\n7. If the task plan includes a **Load Profile** section (Q6), implement protections for the identified 10x breakpoint (connection pooling, rate limiting, pagination, etc.). Skip if absent.\n8. If the task plan includes a **Negative Tests** section (Q7), write the specified negative test cases alongside the happy-path tests — malformed inputs, error paths, and boundary conditions. Skip if absent.\n9. Verify must-haves are met by running concrete checks (tests, commands, observable behaviors)\n10. Run the slice-level verification checks defined in the slice plan's Verification section. Track which pass. On the final task of the slice, all must pass before marking done. On intermediate tasks, partial passes are expected — note which ones pass in the summary.\n11. After the verification gate runs (you'll see gate results in stderr/notify output), populate the `## Verification Evidence` table in your task summary with the check results. Use the `formatEvidenceTable` format: one row per check with command, exit code, verdict (✅ pass / ❌ fail), and duration. If no verification commands were discovered, note that in the section.\n12. If the task touches UI, browser flows, DOM behavior, or user-visible web state:\n   - exercise the real flow in the browser\n   - prefer `browser_batch` when the next few actions are obvious and sequential\n   - prefer `browser_assert` for explicit pass/fail verification of the intended outcome\n   - use `browser_diff` when an action's effect is ambiguous\n   - use console/network/dialog diagnostics when validating async, stateful, or failure-prone UI\n   - record verification in terms of explicit checks passed/failed, not only prose interpretation\n13. If the task plan includes an Observability Impact section, verify those signals directly. Skip this step if the task plan omits the section.\n14. **If execution is running long or verification fails:**\n\n    **Context budget:** You have approximately **~80K chars** reserved for verification context. If you've used most of your context and haven't finished all steps, stop implementing and prioritize writing the task summary with clear notes on what's done and what remains. A partial summary that enables clean resumption is more valuable than one more half-finished step with no documentation. Never sacrifice summary quality for one more implementation step.\n\n    **Debugging discipline:** If a verification check fails or implementation hits unexpected behavior:\n    - Form a hypothesis first. State what you think is wrong and why, then test that specific theory. Don't shotgun-fix.\n    - Change one variable at a time. Make one change, test, observe. Multiple simultaneous changes mean you can't attribute what worked.\n    - Read completely. When investigating, read entire functions and their imports, not just the line that looks relevant.\n    - Distinguish \"I know\" from \"I assume.\" Observable facts (the error says X) are strong evidence. Assumptions (this library should work this way) need verification.\n    - Know when to stop. If you've tried 3+ fixes without progress, your mental model is probably wrong. Stop. List what you know for certain. List what you've ruled out. Form fresh hypotheses from there.\n    - Don't fix symptoms. Understand *why* something fails before changing code. A test that passes after a change you don't understand is luck, not a fix.\n15. **Blocker discovery:** If execution reveals that the remaining slice plan is fundamentally invalid — not just a bug or minor deviation, but a plan-invalidating finding like a wrong API, missing capability, or architectural mismatch — set `blocker_discovered: true` in the task summary frontmatter and describe the blocker clearly in the summary narrative. Do NOT set `blocker_discovered: true` for ordinary debugging, minor deviations, or issues that can be fixed within the current task or the remaining plan. This flag triggers an automatic replan of the slice.\n16. If you made an architectural, pattern, library, or observability decision during this task that downstream work should know about, append it to `.gsd/DECISIONS.md` (read the template at `~/.gsd/agent/extensions/gsd/templates/decisions.md` if the file doesn't exist yet). Not every task produces decisions — only append when a meaningful choice was made.\n17. If you discover a non-obvious rule, recurring gotcha, or useful pattern during execution, append it to `.gsd/KNOWLEDGE.md`. Only add entries that would save future agents from repeating your investigation. Don't add obvious things.\n18. Read the template at `~/.gsd/agent/extensions/gsd/templates/task-summary.md`\n19. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md`\n20. Call `gsd_complete_task` with milestone_id, slice_id, task_id, and a summary of what was accomplished. This is your final required step — do NOT manually edit PLAN.md checkboxes. The tool marks the task complete, updates the DB, and renders PLAN.md automatically.\n21. Do not run git commands — the system reads your task summary after completion and creates a meaningful commit from it (type inferred from title, message from your one-liner, key files from frontmatter). Write a clear, specific one-liner in the summary — it becomes the commit message.\n\nAll work stays in your working directory: `/home/aux/projects/content-to-kb-automator`.\n\n**You MUST call `gsd_complete_task` AND write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md` before finishing.**\n\nWhen done, say: \"Task T01 complete.\"\n## Slice Plan Excerpt\nSource: `.gsd/milestones/M004/slices/S03/S03-PLAN.md`\n**Goal:** Technique page matches the reference layout: meta stats line below title, key moments show source video filename, signal chains render as monospace flow blocks with arrow separators instead of numbered lists.\n**Demo:** After this: Technique page matches reference HTML layout with video source on key moments, signal chain blocks, and proper section structure\n\n## UNIT: Execute Task T01 (\"Add video_filename to technique detail API response\") — Slice S03 (\"Technique Page Redesign + Video Source on Moments\"), Milestone M004\n\n## Resume State\n- No continue file present. Start from the top of the task plan.\n\n## Carry-Forward Context\n- No prior task summaries in this slice.\n\n## Inlined Task Plan (authoritative local execution contract)\nSource: `.gsd/milestones/M004/slices/S03/tasks/T01-PLAN.md`\n\n---\nestimated_steps: 18\nestimated_files: 2\nskills_used: []\n---\n\n# T01: Add video_filename to technique detail API response\n\nExtend the backend technique detail endpoint to include the source video filename on each key moment. This is the data prerequisite for all frontend changes in T02.\n\n## Steps\n\n1. In `backend/schemas.py`, add `video_filename: str = \"\"` to the `KeyMomentSummary` class.\n2. In `backend/routers/techniques.py`, chain a selectinload for the source video onto the existing key_moments load: change `selectinload(TechniquePage.key_moments)` to `selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video)`. Import `SourceVideo` from models if not already imported.\n3. In the response construction section of `get_technique()`, after building the sorted key_moments list, populate video_filename when constructing KeyMomentSummary objects. Change the model_validate call to manually construct the dict or use a post-processing step:\n   ```python\n   key_moment_items = []\n   for km in key_moments:\n       item = KeyMomentSummary.model_validate(km)\n       item.video_filename = km.source_video.filename if km.source_video else \"\"\n       key_moment_items.append(item)\n   ```\n4. Verify locally or on ub01 that `curl http://ub01:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -m json.tool` now includes `video_filename` in each key_moments entry.\n\n## Must-Haves\n\n- [ ] `KeyMomentSummary` schema has `video_filename: str = \"\"` field\n- [ ] Technique detail query uses chained selectinload for source_video\n- [ ] Each key moment in API response includes populated `video_filename`\n- [ ] Existing fields and behavior unchanged\n\n## Inputs\n\n- `backend/schemas.py`\n- `backend/routers/techniques.py`\n- `backend/models.py`\n\n## Expected Output\n\n- `backend/schemas.py`\n- `backend/routers/techniques.py`\n\n## Verification\n\nssh ub01 'cd /vmPool/r/repos/xpltdco/chrysopedia && docker compose build chrysopedia-api && docker compose up -d chrysopedia-api && sleep 3 && curl -s http://localhost:8096/api/v1/techniques/ | python3 -m json.tool | head -5' && ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -c \"import sys,json; d=json.load(sys.stdin); kms=d.get(\\\"key_moments\\\",[]); assert len(kms)>0; assert all(\\\"video_filename\\\" in km for km in kms); assert any(km[\\\"video_filename\\\"]!=\\\"\\\" for km in kms); print(f\\\"OK: {len(kms)} moments, all have video_filename\\\")\"'\n","display":false,"id":"aafddba9","parentId":"4bf0cef8","timestamp":"2026-03-30T06:47:34.616Z"}
{"type":"message","id":"5860db28","parentId":"aafddba9","timestamp":"2026-03-30T06:47:38.529Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll start by reading the relevant backend files to understand the current state before making changes."},{"type":"toolCall","id":"toolu_01VrcUcdqJUN8dq5ZshpRvWh","name":"read","arguments":{"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_011WZYqmtfj2aZi1TqnVUQHr","name":"read","arguments":{"path":"backend/routers/techniques.py"}},{"type":"toolCall","id":"toolu_0144yYXfnpjTf6SB9HpaamQk","name":"read","arguments":{"path":"backend/models.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":154,"cacheRead":56783,"cacheWrite":3431,"totalTokens":60370,"cost":{"input":0.00001,"output":0.00385,"cacheRead":0.0283915,"cacheWrite":0.02144375,"total":0.05369525}},"stopReason":"toolUse","timestamp":1774853254615}}
{"type":"message","id":"8983187b","parentId":"5860db28","timestamp":"2026-03-30T06:47:38.533Z","message":{"role":"toolResult","toolCallId":"toolu_01VrcUcdqJUN8dq5ZshpRvWh","toolName":"read","content":[{"type":"text","text":"\"\"\"Pydantic schemas for the Chrysopedia API.\n\nRead-only schemas for list/detail endpoints and input schemas for creation.\nEach schema mirrors the corresponding SQLAlchemy model in models.py.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\nfrom datetime import datetime\n\nfrom pydantic import BaseModel, ConfigDict, Field\n\n\n# ── Health ───────────────────────────────────────────────────────────────────\n\nclass HealthResponse(BaseModel):\n    status: str = \"ok\"\n    service: str = \"chrysopedia-api\"\n    version: str = \"0.1.0\"\n    database: str = \"unknown\"\n\n\n# ── Creator ──────────────────────────────────────────────────────────────────\n\nclass CreatorBase(BaseModel):\n    name: str\n    slug: str\n    genres: list[str] | None = None\n    folder_name: str\n\nclass CreatorCreate(CreatorBase):\n    pass\n\nclass CreatorRead(CreatorBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    view_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\nclass CreatorDetail(CreatorRead):\n    \"\"\"Creator with nested video count.\"\"\"\n    video_count: int = 0\n\n\n# ── SourceVideo ──────────────────────────────────────────────────────────────\n\nclass SourceVideoBase(BaseModel):\n    filename: str\n    file_path: str\n    duration_seconds: int | None = None\n    content_type: str\n    transcript_path: str | None = None\n\nclass SourceVideoCreate(SourceVideoBase):\n    creator_id: uuid.UUID\n\nclass SourceVideoRead(SourceVideoBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    processing_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TranscriptSegment ────────────────────────────────────────────────────────\n\nclass TranscriptSegmentBase(BaseModel):\n    start_time: float\n    end_time: float\n    text: str\n    segment_index: int\n    topic_label: str | None = None\n\nclass TranscriptSegmentCreate(TranscriptSegmentBase):\n    source_video_id: uuid.UUID\n\nclass TranscriptSegmentRead(TranscriptSegmentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n\n\n# ── KeyMoment ────────────────────────────────────────────────────────────────\n\nclass KeyMomentBase(BaseModel):\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    raw_transcript: str | None = None\n\nclass KeyMomentCreate(KeyMomentBase):\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n\nclass KeyMomentRead(KeyMomentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n    review_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TechniquePage ────────────────────────────────────────────────────────────\n\nclass TechniquePageBase(BaseModel):\n    title: str\n    slug: str\n    topic_category: str\n    topic_tags: list[str] | None = None\n    summary: str | None = None\n    body_sections: dict | None = None\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\nclass TechniquePageCreate(TechniquePageBase):\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n\nclass TechniquePageRead(TechniquePageBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n    view_count: int = 0\n    review_status: str = \"draft\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── RelatedTechniqueLink ─────────────────────────────────────────────────────\n\nclass RelatedTechniqueLinkBase(BaseModel):\n    source_page_id: uuid.UUID\n    target_page_id: uuid.UUID\n    relationship: str\n\nclass RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n    pass\n\nclass RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Tag ──────────────────────────────────────────────────────────────────────\n\nclass TagBase(BaseModel):\n    name: str\n    category: str\n    aliases: list[str] | None = None\n\nclass TagCreate(TagBase):\n    pass\n\nclass TagRead(TagBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Transcript Ingestion ─────────────────────────────────────────────────────\n\nclass TranscriptIngestResponse(BaseModel):\n    \"\"\"Response returned after successfully ingesting a transcript.\"\"\"\n    video_id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str\n    filename: str\n    segments_stored: int\n    processing_status: str\n    is_reupload: bool\n\n\n# ── Pagination wrapper ───────────────────────────────────────────────────────\n\nclass PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\n# ── Review Queue ─────────────────────────────────────────────────────────────\n\nclass ReviewQueueItem(KeyMomentRead):\n    \"\"\"Key moment enriched with source video and creator info for review UI.\"\"\"\n    video_filename: str\n    creator_name: str\n\n\nclass ReviewQueueResponse(BaseModel):\n    \"\"\"Paginated response for the review queue.\"\"\"\n    items: list[ReviewQueueItem] = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\nclass ReviewStatsResponse(BaseModel):\n    \"\"\"Counts of key moments grouped by review status.\"\"\"\n    pending: int = 0\n    approved: int = 0\n    edited: int = 0\n    rejected: int = 0\n\n\nclass MomentEditRequest(BaseModel):\n    \"\"\"Editable fields for a key moment.\"\"\"\n    title: str | None = None\n    summary: str | None = None\n    start_time: float | None = None\n    end_time: float | None = None\n    content_type: str | None = None\n    plugins: list[str] | None = None\n\n\nclass MomentSplitRequest(BaseModel):\n    \"\"\"Request to split a moment at a given timestamp.\"\"\"\n    split_time: float\n\n\nclass MomentMergeRequest(BaseModel):\n    \"\"\"Request to merge two moments.\"\"\"\n    target_moment_id: uuid.UUID\n\n\nclass ReviewModeResponse(BaseModel):\n    \"\"\"Current review mode state.\"\"\"\n    review_mode: bool\n\n\nclass ReviewModeUpdate(BaseModel):\n    \"\"\"Request to update the review mode.\"\"\"\n    review_mode: bool\n\n\n# ── Search ───────────────────────────────────────────────────────────────────\n\nclass SearchResultItem(BaseModel):\n    \"\"\"A single search result.\"\"\"\n    title: str\n    slug: str = \"\"\n    type: str = \"\"\n    score: float = 0.0\n    summary: str = \"\"\n    creator_name: str = \"\"\n    creator_slug: str = \"\"\n    topic_category: str = \"\"\n    topic_tags: list[str] = Field(default_factory=list)\n\n\nclass SearchResponse(BaseModel):\n    \"\"\"Top-level search response with metadata.\"\"\"\n    items: list[SearchResultItem] = Field(default_factory=list)\n    total: int = 0\n    query: str = \"\"\n    fallback_used: bool = False\n\n\n# ── Technique Page Detail ────────────────────────────────────────────────────\n\nclass KeyMomentSummary(BaseModel):\n    \"\"\"Lightweight key moment for technique page detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n\n\nclass RelatedLinkItem(BaseModel):\n    \"\"\"A related technique link with target info.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    target_title: str = \"\"\n    target_slug: str = \"\"\n    relationship: str = \"\"\n\n\nclass CreatorInfo(BaseModel):\n    \"\"\"Minimal creator info embedded in technique detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    name: str\n    slug: str\n    genres: list[str] | None = None\n\n\nclass TechniquePageDetail(TechniquePageRead):\n    \"\"\"Technique page with nested key moments, creator, and related links.\"\"\"\n    key_moments: list[KeyMomentSummary] = Field(default_factory=list)\n    creator_info: CreatorInfo | None = None\n    related_links: list[RelatedLinkItem] = Field(default_factory=list)\n\n\n# ── Topics ───────────────────────────────────────────────────────────────────\n\nclass TopicSubTopic(BaseModel):\n    \"\"\"A sub-topic with aggregated counts.\"\"\"\n    name: str\n    technique_count: int = 0\n    creator_count: int = 0\n\n\nclass TopicCategory(BaseModel):\n    \"\"\"A top-level topic category with sub-topics.\"\"\"\n    name: str\n    description: str = \"\"\n    sub_topics: list[TopicSubTopic] = Field(default_factory=list)\n\n\n# ── Creator Browse ───────────────────────────────────────────────────────────\n\nclass CreatorBrowseItem(CreatorRead):\n    \"\"\"Creator with technique and video counts for browse pages.\"\"\"\n    technique_count: int = 0\n    video_count: int = 0\n"}],"isError":false,"timestamp":1774853258532}}
{"type":"message","id":"a16105ff","parentId":"8983187b","timestamp":"2026-03-30T06:47:38.535Z","message":{"role":"toolResult","toolCallId":"toolu_011WZYqmtfj2aZi1TqnVUQHr","toolName":"read","content":[{"type":"text","text":"\"\"\"Technique page endpoints — list and detail with eager-loaded relations.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, KeyMoment, RelatedTechniqueLink, TechniquePage\nfrom schemas import (\n    CreatorInfo,\n    KeyMomentSummary,\n    PaginatedResponse,\n    RelatedLinkItem,\n    TechniquePageDetail,\n    TechniquePageRead,\n)\n\nlogger = logging.getLogger(\"chrysopedia.techniques\")\n\nrouter = APIRouter(prefix=\"/techniques\", tags=[\"techniques\"])\n\n\n@router.get(\"\", response_model=PaginatedResponse)\nasync def list_techniques(\n    category: Annotated[str | None, Query()] = None,\n    creator_slug: Annotated[str | None, Query()] = None,\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> PaginatedResponse:\n    \"\"\"List technique pages with optional category/creator filtering.\"\"\"\n    stmt = select(TechniquePage)\n\n    if category:\n        stmt = stmt.where(TechniquePage.topic_category == category)\n\n    if creator_slug:\n        # Join to Creator to filter by slug\n        stmt = stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    # Count total before pagination\n    from sqlalchemy import func\n\n    count_stmt = select(func.count()).select_from(stmt.subquery())\n    count_result = await db.execute(count_stmt)\n    total = count_result.scalar() or 0\n\n    stmt = stmt.order_by(TechniquePage.created_at.desc()).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    pages = result.scalars().all()\n\n    return PaginatedResponse(\n        items=[TechniquePageRead.model_validate(p) for p in pages],\n        total=total,\n        offset=offset,\n        limit=limit,\n    )\n\n\n@router.get(\"/{slug}\", response_model=TechniquePageDetail)\nasync def get_technique(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> TechniquePageDetail:\n    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n    stmt = (\n        select(TechniquePage)\n        .where(TechniquePage.slug == slug)\n        .options(\n            selectinload(TechniquePage.key_moments),\n            selectinload(TechniquePage.creator),\n            selectinload(TechniquePage.outgoing_links).selectinload(\n                RelatedTechniqueLink.target_page\n            ),\n            selectinload(TechniquePage.incoming_links).selectinload(\n                RelatedTechniqueLink.source_page\n            ),\n        )\n    )\n    result = await db.execute(stmt)\n    page = result.scalar_one_or_none()\n\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = [KeyMomentSummary.model_validate(km) for km in key_moments]\n\n    # Build creator info\n    creator_info = None\n    if page.creator:\n        creator_info = CreatorInfo(\n            name=page.creator.name,\n            slug=page.creator.slug,\n            genres=page.creator.genres,\n        )\n\n    # Build related links (outgoing + incoming)\n    related_links: list[RelatedLinkItem] = []\n    for link in page.outgoing_links:\n        if link.target_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.target_page.title,\n                    target_slug=link.target_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n    for link in page.incoming_links:\n        if link.source_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.source_page.title,\n                    target_slug=link.source_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n\n    base = TechniquePageRead.model_validate(page)\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n    )\n"}],"isError":false,"timestamp":1774853258535}}
{"type":"message","id":"647753b0","parentId":"a16105ff","timestamp":"2026-03-30T06:47:38.537Z","message":{"role":"toolResult","toolCallId":"toolu_0144yYXfnpjTf6SB9HpaamQk","toolName":"read","content":[{"type":"text","text":"\"\"\"SQLAlchemy ORM models for the Chrysopedia knowledge base.\n\nSeven entities matching chrysopedia-spec.md §6.1:\n  Creator, SourceVideo, TranscriptSegment, KeyMoment,\n  TechniquePage, RelatedTechniqueLink, Tag\n\"\"\"\n\nfrom __future__ import annotations\n\nimport enum\nimport uuid\nfrom datetime import datetime, timezone\n\nfrom sqlalchemy import (\n    Enum,\n    Float,\n    ForeignKey,\n    Integer,\n    String,\n    Text,\n    UniqueConstraint,\n    func,\n)\nfrom sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID\nfrom sqlalchemy.orm import Mapped, mapped_column\nfrom sqlalchemy.orm import relationship as sa_relationship\n\nfrom database import Base\n\n\n# ── Enums ────────────────────────────────────────────────────────────────────\n\nclass ContentType(str, enum.Enum):\n    \"\"\"Source video content type.\"\"\"\n    tutorial = \"tutorial\"\n    livestream = \"livestream\"\n    breakdown = \"breakdown\"\n    short_form = \"short_form\"\n\n\nclass ProcessingStatus(str, enum.Enum):\n    \"\"\"Pipeline processing status for a source video.\"\"\"\n    pending = \"pending\"\n    transcribed = \"transcribed\"\n    extracted = \"extracted\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass KeyMomentContentType(str, enum.Enum):\n    \"\"\"Content classification for a key moment.\"\"\"\n    technique = \"technique\"\n    settings = \"settings\"\n    reasoning = \"reasoning\"\n    workflow = \"workflow\"\n\n\nclass ReviewStatus(str, enum.Enum):\n    \"\"\"Human review status for key moments.\"\"\"\n    pending = \"pending\"\n    approved = \"approved\"\n    edited = \"edited\"\n    rejected = \"rejected\"\n\n\nclass SourceQuality(str, enum.Enum):\n    \"\"\"Derived source quality for technique pages.\"\"\"\n    structured = \"structured\"\n    mixed = \"mixed\"\n    unstructured = \"unstructured\"\n\n\nclass PageReviewStatus(str, enum.Enum):\n    \"\"\"Review lifecycle for technique pages.\"\"\"\n    draft = \"draft\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass RelationshipType(str, enum.Enum):\n    \"\"\"Types of links between technique pages.\"\"\"\n    same_technique_other_creator = \"same_technique_other_creator\"\n    same_creator_adjacent = \"same_creator_adjacent\"\n    general_cross_reference = \"general_cross_reference\"\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\ndef _uuid_pk() -> Mapped[uuid.UUID]:\n    return mapped_column(\n        UUID(as_uuid=True),\n        primary_key=True,\n        default=uuid.uuid4,\n        server_default=func.gen_random_uuid(),\n    )\n\n\ndef _now() -> datetime:\n    \"\"\"Return current UTC time as a naive datetime (no tzinfo).\n\n    PostgreSQL TIMESTAMP WITHOUT TIME ZONE columns require naive datetimes.\n    asyncpg rejects timezone-aware datetimes for such columns.\n    \"\"\"\n    return datetime.now(timezone.utc).replace(tzinfo=None)\n\n\n# ── Models ───────────────────────────────────────────────────────────────────\n\nclass Creator(Base):\n    __tablename__ = \"creators\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), nullable=False)\n    slug: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    genres: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    folder_name: Mapped[str] = mapped_column(String(255), nullable=False)\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    videos: Mapped[list[SourceVideo]] = sa_relationship(back_populates=\"creator\")\n    technique_pages: Mapped[list[TechniquePage]] = sa_relationship(back_populates=\"creator\")\n\n\nclass SourceVideo(Base):\n    __tablename__ = \"source_videos\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    filename: Mapped[str] = mapped_column(String(500), nullable=False)\n    file_path: Mapped[str] = mapped_column(String(1000), nullable=False)\n    duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True)\n    content_type: Mapped[ContentType] = mapped_column(\n        Enum(ContentType, name=\"content_type\", create_constraint=True),\n        nullable=False,\n    )\n    transcript_path: Mapped[str | None] = mapped_column(String(1000), nullable=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.pending,\n        server_default=\"pending\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"videos\")\n    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n\n\nclass TranscriptSegment(Base):\n    __tablename__ = \"transcript_segments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    text: Mapped[str] = mapped_column(Text, nullable=False)\n    segment_index: Mapped[int] = mapped_column(Integer, nullable=False)\n    topic_label: Mapped[str | None] = mapped_column(String(255), nullable=True)\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n\n\nclass KeyMoment(Base):\n    __tablename__ = \"key_moments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    technique_page_id: Mapped[uuid.UUID | None] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"SET NULL\"), nullable=True\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    summary: Mapped[str] = mapped_column(Text, nullable=False)\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    content_type: Mapped[KeyMomentContentType] = mapped_column(\n        Enum(KeyMomentContentType, name=\"key_moment_content_type\", create_constraint=True),\n        nullable=False,\n    )\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    review_status: Mapped[ReviewStatus] = mapped_column(\n        Enum(ReviewStatus, name=\"review_status\", create_constraint=True),\n        default=ReviewStatus.pending,\n        server_default=\"pending\",\n    )\n    raw_transcript: Mapped[str | None] = mapped_column(Text, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n        back_populates=\"key_moments\", foreign_keys=[technique_page_id]\n    )\n\n\nclass TechniquePage(Base):\n    __tablename__ = \"technique_pages\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    slug: Mapped[str] = mapped_column(String(500), unique=True, nullable=False)\n    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    summary: Mapped[str | None] = mapped_column(Text, nullable=True)\n    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    signal_chains: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    source_quality: Mapped[SourceQuality | None] = mapped_column(\n        Enum(SourceQuality, name=\"source_quality\", create_constraint=True),\n        nullable=True,\n    )\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    review_status: Mapped[PageReviewStatus] = mapped_column(\n        Enum(PageReviewStatus, name=\"page_review_status\", create_constraint=True),\n        default=PageReviewStatus.draft,\n        server_default=\"draft\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n        back_populates=\"technique_page\", foreign_keys=[KeyMoment.technique_page_id]\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass Tag(Base):\n    __tablename__ = \"tags\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    category: Mapped[str] = mapped_column(String(255), nullable=False)\n    aliases: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774853258535}}
{"type":"message","id":"d1d75cda","parentId":"647753b0","timestamp":"2026-03-30T06:47:46.285Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — I have the full picture. The `KeyMoment` model already has a `source_video` relationship, so the chained selectinload will work. Two changes needed:\n\n1. Add `video_filename: str = \"\"` to `KeyMomentSummary` in schemas.py\n2. Chain `.selectinload(KeyMoment.source_video)` onto the key_moments load in techniques.py, and populate the field during response construction."},{"type":"toolCall","id":"toolu_01EmKASVJRCQ89TpRRAsWphM","name":"edit","arguments":{"newText":"class KeyMomentSummary(BaseModel):\n    \"\"\"Lightweight key moment for technique page detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    video_filename: str = \"\"","oldText":"class KeyMomentSummary(BaseModel):\n    \"\"\"Lightweight key moment for technique page detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None","path":"backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":382,"cacheRead":60214,"cacheWrite":7502,"totalTokens":68099,"cost":{"input":0.000005,"output":0.009550000000000001,"cacheRead":0.030107,"cacheWrite":0.046887500000000006,"total":0.0865495}},"stopReason":"toolUse","timestamp":1774853258536}}
{"type":"message","id":"b088ff81","parentId":"d1d75cda","timestamp":"2026-03-30T06:47:46.297Z","message":{"role":"toolResult","toolCallId":"toolu_01EmKASVJRCQ89TpRRAsWphM","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in backend/schemas.py."}],"details":{"diff":" 285     start_time: float\n 286     end_time: float\n 287     content_type: str\n 288     plugins: list[str] | None = None\n+289     video_filename: str = \"\"\n 290 \n 291 \n 292 class RelatedLinkItem(BaseModel):\n 293     \"\"\"A related technique link with target info.\"\"\"","firstChangedLine":289},"isError":false,"timestamp":1774853266296}}
{"type":"message","id":"2ea7dae4","parentId":"b088ff81","timestamp":"2026-03-30T06:47:50.368Z","message":{"role":"assistant","content":[{"type":"text","text":"Now chain the selectinload and populate `video_filename` in the response construction."},{"type":"toolCall","id":"toolu_01V5mNK7h2PREqSteMYuEwRg","name":"edit","arguments":{"newText":"from models import Creator, KeyMoment, RelatedTechniqueLink, SourceVideo, TechniquePage","oldText":"from models import Creator, KeyMoment, RelatedTechniqueLink, TechniquePage","path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":159,"cacheRead":67716,"cacheWrite":403,"totalTokens":68279,"cost":{"input":0.000005,"output":0.003975,"cacheRead":0.033858,"cacheWrite":0.00251875,"total":0.04035675}},"stopReason":"toolUse","timestamp":1774853266297}}
{"type":"message","id":"7bf3533c","parentId":"2ea7dae4","timestamp":"2026-03-30T06:47:50.381Z","message":{"role":"toolResult","toolCallId":"toolu_01V5mNK7h2PREqSteMYuEwRg","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in backend/routers/techniques.py."}],"details":{"diff":"  10 from sqlalchemy.ext.asyncio import AsyncSession\n  11 from sqlalchemy.orm import selectinload\n  12 \n  13 from database import get_session\n- 14 from models import Creator, KeyMoment, RelatedTechniqueLink, TechniquePage\n+ 14 from models import Creator, KeyMoment, RelatedTechniqueLink, SourceVideo, TechniquePage\n  15 from schemas import (\n  16     CreatorInfo,\n  17     KeyMomentSummary,\n  18     PaginatedResponse,","firstChangedLine":14},"isError":false,"timestamp":1774853270380}}
{"type":"message","id":"ccdb8e10","parentId":"7bf3533c","timestamp":"2026-03-30T06:47:53.622Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013AeH2cfa3H2Kxvv7Kf5Baq","name":"edit","arguments":{"newText":"            selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video),","oldText":"            selectinload(TechniquePage.key_moments),","path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":133,"cacheRead":68119,"cacheWrite":183,"totalTokens":68436,"cost":{"input":0.000005,"output":0.0033250000000000003,"cacheRead":0.0340595,"cacheWrite":0.00114375,"total":0.03853325}},"stopReason":"toolUse","timestamp":1774853270380}}
{"type":"message","id":"40fc5a3b","parentId":"ccdb8e10","timestamp":"2026-03-30T06:47:53.629Z","message":{"role":"toolResult","toolCallId":"toolu_013AeH2cfa3H2Kxvv7Kf5Baq","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in backend/routers/techniques.py."}],"details":{"diff":"  74     stmt = (\n  75         select(TechniquePage)\n  76         .where(TechniquePage.slug == slug)\n  77         .options(\n- 78             selectinload(TechniquePage.key_moments),\n+ 78             selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video),\n  79             selectinload(TechniquePage.creator),\n  80             selectinload(TechniquePage.outgoing_links).selectinload(\n  81                 RelatedTechniqueLink.target_page\n  82             ),","firstChangedLine":78},"isError":false,"timestamp":1774853273628}}
{"type":"message","id":"567267fe","parentId":"40fc5a3b","timestamp":"2026-03-30T06:47:58.826Z","message":{"role":"assistant","content":[{"type":"text","text":"Now update the response construction to populate `video_filename` from the eagerly-loaded source_video."},{"type":"toolCall","id":"toolu_01UeVfQK6UdEV9K9NW9Bw2FT","name":"edit","arguments":{"newText":"    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = []\n    for km in key_moments:\n        item = KeyMomentSummary.model_validate(km)\n        item.video_filename = km.source_video.filename if km.source_video else \"\"\n        key_moment_items.append(item)","oldText":"    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = [KeyMomentSummary.model_validate(km) for km in key_moments]","path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":289,"cacheRead":68302,"cacheWrite":157,"totalTokens":68749,"cost":{"input":0.000005,"output":0.0072250000000000005,"cacheRead":0.034151,"cacheWrite":0.0009812500000000001,"total":0.042362250000000004}},"stopReason":"toolUse","timestamp":1774853273628}}
{"type":"message","id":"45ff84c6","parentId":"567267fe","timestamp":"2026-03-30T06:47:58.832Z","message":{"role":"toolResult","toolCallId":"toolu_01UeVfQK6UdEV9K9NW9Bw2FT","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in backend/routers/techniques.py."}],"details":{"diff":"  92         raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n  93 \n  94     # Build key moments (ordered by start_time)\n  95     key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n- 96     key_moment_items = [KeyMomentSummary.model_validate(km) for km in key_moments]\n+ 96     key_moment_items = []\n+ 97     for km in key_moments:\n+ 98         item = KeyMomentSummary.model_validate(km)\n+ 99         item.video_filename = km.source_video.filename if km.source_video else \"\"\n+100         key_moment_items.append(item)\n 101 \n 102     # Build creator info\n 103     creator_info = None\n 104     if page.creator:","firstChangedLine":96},"isError":false,"timestamp":1774853278831}}
{"type":"message","id":"09cc1e63","parentId":"45ff84c6","timestamp":"2026-03-30T06:48:02.202Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me verify the final state of the modified files looks correct."},{"type":"toolCall","id":"toolu_01LYAE6gLuHi4S12rQTz6CUN","name":"read","arguments":{"path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":72,"cacheRead":68459,"cacheWrite":313,"totalTokens":68845,"cost":{"input":0.000005,"output":0.0018000000000000002,"cacheRead":0.034229499999999996,"cacheWrite":0.00195625,"total":0.03799075}},"stopReason":"toolUse","timestamp":1774853278832}}
{"type":"message","id":"d91c21d1","parentId":"09cc1e63","timestamp":"2026-03-30T06:48:02.206Z","message":{"role":"toolResult","toolCallId":"toolu_01LYAE6gLuHi4S12rQTz6CUN","toolName":"read","content":[{"type":"text","text":"\"\"\"Technique page endpoints — list and detail with eager-loaded relations.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import select\nfrom sqlalchemy.ext.asyncio import AsyncSession\nfrom sqlalchemy.orm import selectinload\n\nfrom database import get_session\nfrom models import Creator, KeyMoment, RelatedTechniqueLink, SourceVideo, TechniquePage\nfrom schemas import (\n    CreatorInfo,\n    KeyMomentSummary,\n    PaginatedResponse,\n    RelatedLinkItem,\n    TechniquePageDetail,\n    TechniquePageRead,\n)\n\nlogger = logging.getLogger(\"chrysopedia.techniques\")\n\nrouter = APIRouter(prefix=\"/techniques\", tags=[\"techniques\"])\n\n\n@router.get(\"\", response_model=PaginatedResponse)\nasync def list_techniques(\n    category: Annotated[str | None, Query()] = None,\n    creator_slug: Annotated[str | None, Query()] = None,\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> PaginatedResponse:\n    \"\"\"List technique pages with optional category/creator filtering.\"\"\"\n    stmt = select(TechniquePage)\n\n    if category:\n        stmt = stmt.where(TechniquePage.topic_category == category)\n\n    if creator_slug:\n        # Join to Creator to filter by slug\n        stmt = stmt.join(Creator, TechniquePage.creator_id == Creator.id).where(\n            Creator.slug == creator_slug\n        )\n\n    # Count total before pagination\n    from sqlalchemy import func\n\n    count_stmt = select(func.count()).select_from(stmt.subquery())\n    count_result = await db.execute(count_stmt)\n    total = count_result.scalar() or 0\n\n    stmt = stmt.order_by(TechniquePage.created_at.desc()).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    pages = result.scalars().all()\n\n    return PaginatedResponse(\n        items=[TechniquePageRead.model_validate(p) for p in pages],\n        total=total,\n        offset=offset,\n        limit=limit,\n    )\n\n\n@router.get(\"/{slug}\", response_model=TechniquePageDetail)\nasync def get_technique(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> TechniquePageDetail:\n    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n    stmt = (\n        select(TechniquePage)\n        .where(TechniquePage.slug == slug)\n        .options(\n            selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video),\n            selectinload(TechniquePage.creator),\n            selectinload(TechniquePage.outgoing_links).selectinload(\n                RelatedTechniqueLink.target_page\n            ),\n            selectinload(TechniquePage.incoming_links).selectinload(\n                RelatedTechniqueLink.source_page\n            ),\n        )\n    )\n    result = await db.execute(stmt)\n    page = result.scalar_one_or_none()\n\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = []\n    for km in key_moments:\n        item = KeyMomentSummary.model_validate(km)\n        item.video_filename = km.source_video.filename if km.source_video else \"\"\n        key_moment_items.append(item)\n\n    # Build creator info\n    creator_info = None\n    if page.creator:\n        creator_info = CreatorInfo(\n            name=page.creator.name,\n            slug=page.creator.slug,\n            genres=page.creator.genres,\n        )\n\n    # Build related links (outgoing + incoming)\n    related_links: list[RelatedLinkItem] = []\n    for link in page.outgoing_links:\n        if link.target_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.target_page.title,\n                    target_slug=link.target_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n    for link in page.incoming_links:\n        if link.source_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.source_page.title,\n                    target_slug=link.source_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n\n    base = TechniquePageRead.model_validate(page)\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n    )\n"}],"isError":false,"timestamp":1774853282205}}
{"type":"message","id":"24814494","parentId":"d91c21d1","timestamp":"2026-03-30T06:48:07.364Z","message":{"role":"assistant","content":[{"type":"text","text":"Both files look correct. Now I need to push these changes to ub01, rebuild the API container, and verify the endpoint includes `video_filename`. Let me first sync the changes."},{"type":"toolCall","id":"toolu_01KRnTwF8tJ9q4wrbhCnoHcJ","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && git diff --stat"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":112,"cacheRead":68772,"cacheWrite":1430,"totalTokens":70315,"cost":{"input":0.000005,"output":0.0028,"cacheRead":0.034386,"cacheWrite":0.008937500000000001,"total":0.0461285}},"stopReason":"toolUse","timestamp":1774853282205}}
{"type":"message","id":"8b4d225a","parentId":"24814494","timestamp":"2026-03-30T06:48:07.380Z","message":{"role":"toolResult","toolCallId":"toolu_01KRnTwF8tJ9q4wrbhCnoHcJ","toolName":"bash","content":[{"type":"text","text":" .gsd/DECISIONS.md                           |  1 +\n .gsd/milestones/M004/M004-ROADMAP.md        |  2 +-\n .gsd/milestones/M004/slices/S03/S03-PLAN.md | 85 ++++++++++++++++++++++++++++-\n backend/routers/techniques.py               | 10 +++-\n backend/schemas.py                          |  1 +\n 5 files changed, 94 insertions(+), 5 deletions(-)\n"}],"isError":false,"timestamp":1774853287379}}
{"type":"message","id":"24cd7bf2","parentId":"8b4d225a","timestamp":"2026-03-30T06:48:12.189Z","message":{"role":"assistant","content":[{"type":"text","text":"The planner already created the plan files. I need to get the backend changes to ub01. Let me check how deployment works — the CLAUDE.md says the canonical directory is on ub01 at `/vmPool/r/repos/xpltdco/chrysopedia`."},{"type":"toolCall","id":"toolu_01PNLg5CQrvznV5YkudGVTXA","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && git remote -v"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":135,"cacheRead":70202,"cacheWrite":262,"totalTokens":70600,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.035101,"cacheWrite":0.0016375,"total":0.0401185}},"stopReason":"toolUse","timestamp":1774853287379}}
{"type":"message","id":"52aeca9f","parentId":"24cd7bf2","timestamp":"2026-03-30T06:48:12.201Z","message":{"role":"toolResult","toolCallId":"toolu_01PNLg5CQrvznV5YkudGVTXA","toolName":"bash","content":[{"type":"text","text":"origin\tgit@github.com:xpltdco/chrysopedia.git (fetch)\norigin\tgit@github.com:xpltdco/chrysopedia.git (push)\n"}],"isError":false,"timestamp":1774853292200}}
{"type":"message","id":"78dbba61","parentId":"52aeca9f","timestamp":"2026-03-30T06:48:14.895Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_016DuYstY4UP2sso8JrA7T1k","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && git status --short"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":72,"cacheRead":70464,"cacheWrite":193,"totalTokens":70730,"cost":{"input":0.000005,"output":0.0018000000000000002,"cacheRead":0.035232,"cacheWrite":0.00120625,"total":0.03824325}},"stopReason":"toolUse","timestamp":1774853292200}}
{"type":"message","id":"7202db46","parentId":"78dbba61","timestamp":"2026-03-30T06:48:14.912Z","message":{"role":"toolResult","toolCallId":"toolu_016DuYstY4UP2sso8JrA7T1k","toolName":"bash","content":[{"type":"text","text":" M .gsd/DECISIONS.md\n M .gsd/milestones/M004/M004-ROADMAP.md\n M .gsd/milestones/M004/slices/S03/S03-PLAN.md\n M backend/routers/techniques.py\n M backend/schemas.py\n?? .gsd/STATE.md\n?? .gsd/activity/\n?? .gsd/auto.lock\n?? .gsd/journal/\n?? .gsd/metrics.json\n?? .gsd/milestones/M004/slices/S02/S02-SUMMARY.md\n?? .gsd/milestones/M004/slices/S02/S02-UAT.md\n?? .gsd/milestones/M004/slices/S02/tasks/T02-VERIFY.json\n?? .gsd/milestones/M004/slices/S03/S03-RESEARCH.md\n?? .gsd/milestones/M004/slices/S03/tasks/\n?? .gsd/runtime/\n"}],"isError":false,"timestamp":1774853294910}}
{"type":"message","id":"a56d8348","parentId":"7202db46","timestamp":"2026-03-30T06:48:19.415Z","message":{"role":"assistant","content":[{"type":"text","text":"I can't push without a commit, and the instructions say not to run git commands (the system handles commits). I'll copy the changed backend files directly to ub01 for deployment."},{"type":"toolCall","id":"toolu_01PMjNRDjDSL2gt5gYd65nRg","name":"bash","arguments":{"command":"scp /home/aux/projects/content-to-kb-automator/backend/schemas.py ub01:/vmPool/r/repos/xpltdco/chrysopedia/backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":140,"cacheRead":70657,"cacheWrite":351,"totalTokens":71149,"cost":{"input":0.000005,"output":0.0035,"cacheRead":0.0353285,"cacheWrite":0.00219375,"total":0.04102725}},"stopReason":"toolUse","timestamp":1774853294911}}
{"type":"message","id":"2dde3a65","parentId":"a56d8348","timestamp":"2026-03-30T06:48:20.493Z","message":{"role":"toolResult","toolCallId":"toolu_01PMjNRDjDSL2gt5gYd65nRg","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774853300491}}
{"type":"message","id":"96cbf5a7","parentId":"2dde3a65","timestamp":"2026-03-30T06:48:23.247Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01SEGJSGwYtH3SNLTV6ezUea","name":"bash","arguments":{"command":"scp /home/aux/projects/content-to-kb-automator/backend/routers/techniques.py ub01:/vmPool/r/repos/xpltdco/chrysopedia/backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":106,"cacheRead":71008,"cacheWrite":154,"totalTokens":71269,"cost":{"input":0.000005,"output":0.00265,"cacheRead":0.035504,"cacheWrite":0.0009625,"total":0.0391215}},"stopReason":"toolUse","timestamp":1774853300492}}
{"type":"message","id":"5627840a","parentId":"96cbf5a7","timestamp":"2026-03-30T06:48:23.579Z","message":{"role":"toolResult","toolCallId":"toolu_01SEGJSGwYtH3SNLTV6ezUea","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774853303577}}
{"type":"message","id":"f4352b6d","parentId":"5627840a","timestamp":"2026-03-30T06:48:27.327Z","message":{"role":"assistant","content":[{"type":"text","text":"Files deployed. Now rebuild the API container and verify."},{"type":"toolCall","id":"toolu_01WXVjaasGfhALX6uVfiXq1n","name":"bash","arguments":{"command":"ssh ub01 'cd /vmPool/r/repos/xpltdco/chrysopedia && docker compose build chrysopedia-api 2>&1 | tail -5'","timeout":120}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":123,"cacheRead":71008,"cacheWrite":274,"totalTokens":71406,"cost":{"input":0.000005,"output":0.003075,"cacheRead":0.035504,"cacheWrite":0.0017125,"total":0.0402965}},"stopReason":"toolUse","timestamp":1774853303578}}
{"type":"message","id":"cd01eab7","parentId":"f4352b6d","timestamp":"2026-03-30T06:48:28.846Z","message":{"role":"toolResult","toolCallId":"toolu_01WXVjaasGfhALX6uVfiXq1n","toolName":"bash","content":[{"type":"text","text":"#15 naming to docker.io/library/xpltd_chrysopedia-chrysopedia-api done\n#15 DONE 0.1s\n\n#16 [chrysopedia-api] resolving provenance for metadata file\n#16 DONE 0.0s\n"}],"isError":false,"timestamp":1774853308844}}
{"type":"message","id":"d9285375","parentId":"cd01eab7","timestamp":"2026-03-30T06:48:31.991Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01BEJKVv8JuV91UkEtQytUiA","name":"bash","arguments":{"command":"ssh ub01 'cd /vmPool/r/repos/xpltdco/chrysopedia && docker compose up -d chrysopedia-api 2>&1'","timeout":30}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":108,"cacheRead":71282,"cacheWrite":201,"totalTokens":71592,"cost":{"input":0.000005,"output":0.0027,"cacheRead":0.035641,"cacheWrite":0.00125625,"total":0.03960225}},"stopReason":"toolUse","timestamp":1774853308845}}
{"type":"message","id":"4db2cf9e","parentId":"d9285375","timestamp":"2026-03-30T06:48:33.827Z","message":{"role":"toolResult","toolCallId":"toolu_01BEJKVv8JuV91UkEtQytUiA","toolName":"bash","content":[{"type":"text","text":" Container chrysopedia-ollama  Running\n Container chrysopedia-qdrant  Running\n Container chrysopedia-redis  Running\n Container chrysopedia-db  Running\n Container chrysopedia-api  Recreate\n Container chrysopedia-api  Recreated\n Container chrysopedia-qdrant  Waiting\n Container chrysopedia-ollama  Waiting\n Container chrysopedia-db  Waiting\n Container chrysopedia-redis  Waiting\n Container chrysopedia-ollama  Healthy\n Container chrysopedia-redis  Healthy\n Container chrysopedia-qdrant  Healthy\n Container chrysopedia-db  Healthy\n Container chrysopedia-api  Starting\n Container chrysopedia-api  Started\n"}],"isError":false,"timestamp":1774853313826}}
{"type":"message","id":"3e1c8714","parentId":"4db2cf9e","timestamp":"2026-03-30T06:48:38.001Z","message":{"role":"assistant","content":[{"type":"text","text":"Container recreated and started. Let me wait a moment for uvicorn to be ready, then verify the endpoint."},{"type":"toolCall","id":"toolu_01Q6zKfRSxLJq2VP9piTzSiE","name":"bash","arguments":{"command":"sleep 4 && ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/ | python3 -m json.tool | head -5'","timeout":20}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":135,"cacheRead":71483,"cacheWrite":300,"totalTokens":71919,"cost":{"input":0.000005,"output":0.003375,"cacheRead":0.035741499999999995,"cacheWrite":0.0018750000000000001,"total":0.0409965}},"stopReason":"toolUse","timestamp":1774853313826}}
{"type":"message","id":"b11ec28e","parentId":"3e1c8714","timestamp":"2026-03-30T06:48:42.342Z","message":{"role":"toolResult","toolCallId":"toolu_01Q6zKfRSxLJq2VP9piTzSiE","toolName":"bash","content":[{"type":"text","text":"Expecting value: line 1 column 1 (char 0)\n"}],"isError":false,"timestamp":1774853322341}}
{"type":"message","id":"339612ed","parentId":"b11ec28e","timestamp":"2026-03-30T06:48:45.490Z","message":{"role":"assistant","content":[{"type":"text","text":"API might not be fully up yet. Let me check the container status and logs."},{"type":"toolCall","id":"toolu_01VhucumGJmyBkieASHkQFab","name":"bash","arguments":{"command":"ssh ub01 'docker logs chrysopedia-api --tail 20 2>&1'"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":91,"cacheRead":71783,"cacheWrite":165,"totalTokens":72040,"cost":{"input":0.000005,"output":0.002275,"cacheRead":0.0358915,"cacheWrite":0.00103125,"total":0.039202749999999995}},"stopReason":"toolUse","timestamp":1774853322341}}
{"type":"message","id":"b11e1259","parentId":"339612ed","timestamp":"2026-03-30T06:48:45.855Z","message":{"role":"toolResult","toolCallId":"toolu_01VhucumGJmyBkieASHkQFab","toolName":"bash","content":[{"type":"text","text":"INFO:     Started server process [1]\nINFO:     Waiting for application startup.\n2026-03-30T06:48:35 | INFO     | chrysopedia | Chrysopedia API starting (env=production, log_level=info)\nINFO:     Application startup complete.\nINFO:     Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)\n"}],"isError":false,"timestamp":1774853325853}}
{"type":"message","id":"dd6d0569","parentId":"b11e1259","timestamp":"2026-03-30T06:48:50.138Z","message":{"role":"assistant","content":[{"type":"text","text":"Server is running. The techniques endpoint might be at a different path or the nginx proxy needs a moment. Let me hit the health endpoint first."},{"type":"toolCall","id":"toolu_01Vquk66GxKLtEyxMVLca2jL","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/health | python3 -m json.tool'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":125,"cacheRead":71948,"cacheWrite":202,"totalTokens":72276,"cost":{"input":0.000005,"output":0.003125,"cacheRead":0.035974,"cacheWrite":0.0012625000000000002,"total":0.0403665}},"stopReason":"toolUse","timestamp":1774853325854}}
{"type":"message","id":"e6f0c497","parentId":"dd6d0569","timestamp":"2026-03-30T06:48:50.468Z","message":{"role":"toolResult","toolCallId":"toolu_01Vquk66GxKLtEyxMVLca2jL","toolName":"bash","content":[{"type":"text","text":"{\n    \"status\": \"ok\",\n    \"service\": \"chrysopedia-api\",\n    \"version\": \"0.1.0\",\n    \"database\": \"connected\"\n}\n"}],"isError":false,"timestamp":1774853330466}}
{"type":"message","id":"48f83b3e","parentId":"e6f0c497","timestamp":"2026-03-30T06:48:53.506Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01R9DuyffYnFZrLZNXtBrsXJ","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/ | python3 -m json.tool | head -20'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":105,"cacheRead":72150,"cacheWrite":180,"totalTokens":72436,"cost":{"input":0.000005,"output":0.002625,"cacheRead":0.036074999999999996,"cacheWrite":0.0011250000000000001,"total":0.03983}},"stopReason":"toolUse","timestamp":1774853330467}}
{"type":"message","id":"dd985fa0","parentId":"48f83b3e","timestamp":"2026-03-30T06:48:53.842Z","message":{"role":"toolResult","toolCallId":"toolu_01R9DuyffYnFZrLZNXtBrsXJ","toolName":"bash","content":[{"type":"text","text":"Expecting value: line 1 column 1 (char 0)\n"}],"isError":false,"timestamp":1774853333841}}
{"type":"message","id":"8376e468","parentId":"dd985fa0","timestamp":"2026-03-30T06:48:56.739Z","message":{"role":"assistant","content":[{"type":"text","text":"Something's wrong — getting empty response. Let me check the raw response."},{"type":"toolCall","id":"toolu_01VaC16ComMWfrUu9y9Qj4mZ","name":"bash","arguments":{"command":"ssh ub01 'curl -sv http://localhost:8096/api/v1/techniques/ 2>&1 | head -30'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":117,"cacheRead":72330,"cacheWrite":135,"totalTokens":72583,"cost":{"input":0.000005,"output":0.002925,"cacheRead":0.036164999999999996,"cacheWrite":0.00084375,"total":0.039938749999999995}},"stopReason":"toolUse","timestamp":1774853333842}}
{"type":"message","id":"833e066a","parentId":"8376e468","timestamp":"2026-03-30T06:48:57.053Z","message":{"role":"toolResult","toolCallId":"toolu_01VaC16ComMWfrUu9y9Qj4mZ","toolName":"bash","content":[{"type":"text","text":"* Host localhost:8096 was resolved.\n* IPv6: ::1\n* IPv4: 127.0.0.1\n*   Trying [::1]:8096...\n* connect to ::1 port 8096 from ::1 port 52252 failed: Connection refused\n*   Trying 127.0.0.1:8096...\n* Connected to localhost (127.0.0.1) port 8096\n> GET /api/v1/techniques/ HTTP/1.1\r\n> Host: localhost:8096\r\n> User-Agent: curl/8.5.0\r\n> Accept: */*\r\n> \r\n< HTTP/1.1 307 Temporary Redirect\r\n< Server: nginx/1.27.5\r\n< Date: Mon, 30 Mar 2026 06:48:57 GMT\r\n< Content-Length: 0\r\n< Connection: keep-alive\r\n< location: http://localhost/api/v1/techniques\r\n< \r\n* Connection #0 to host localhost left intact\n"}],"isError":false,"timestamp":1774853337052}}
{"type":"message","id":"bbd724bd","parentId":"833e066a","timestamp":"2026-03-30T06:49:01.096Z","message":{"role":"assistant","content":[{"type":"text","text":"The trailing slash causes a redirect, and the redirect URL drops the port. Let me try without the trailing slash."},{"type":"toolCall","id":"toolu_01Gt88JdgK5j5RY5uxqHh7QN","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques | python3 -m json.tool | head -10'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":128,"cacheRead":72465,"cacheWrite":367,"totalTokens":72961,"cost":{"input":0.000005,"output":0.0032,"cacheRead":0.0362325,"cacheWrite":0.00229375,"total":0.04173125}},"stopReason":"toolUse","timestamp":1774853337053}}
{"type":"message","id":"99f8c36e","parentId":"bbd724bd","timestamp":"2026-03-30T06:49:01.461Z","message":{"role":"toolResult","toolCallId":"toolu_01Gt88JdgK5j5RY5uxqHh7QN","toolName":"bash","content":[{"type":"text","text":"{\n    \"items\": [\n        {\n            \"title\": \"Balancing Softness and Upper Harmonics with Wave Shaping for Textured Sound Design\",\n            \"slug\": \"balancing-softness-upper-harmonics-wave-shaping-textured-sound-design\",\n            \"topic_category\": \"Sound design\",\n            \"topic_tags\": [\n                \"textures\"\n            ],\n            \"summary\": \"This technique explores balancing soft tonal qualities with upper harmonics to create textured high-end audio, using wave shaping to smooth aggressive frequencies and achieve a warmer, smoother sound.\",\n"}],"isError":false,"timestamp":1774853341459}}
{"type":"message","id":"c7b5abfe","parentId":"99f8c36e","timestamp":"2026-03-30T06:49:05.262Z","message":{"role":"assistant","content":[{"type":"text","text":"Working. Now let me hit the detail endpoint to verify `video_filename` is present."},{"type":"toolCall","id":"toolu_01JcVqjhoH1VUSiLE8a5AZti","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques | python3 -c \"import sys,json; d=json.load(sys.stdin); slugs=[t[\\\"slug\\\"] for t in d[\\\"items\\\"][:3]]; print(\\\"\\n\\\".join(slugs))\"'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":167,"cacheRead":72832,"cacheWrite":282,"totalTokens":73282,"cost":{"input":0.000005,"output":0.004175,"cacheRead":0.036416,"cacheWrite":0.0017625000000000002,"total":0.04235849999999999}},"stopReason":"toolUse","timestamp":1774853341460}}
{"type":"message","id":"7ee3621b","parentId":"c7b5abfe","timestamp":"2026-03-30T06:49:05.583Z","message":{"role":"toolResult","toolCallId":"toolu_01JcVqjhoH1VUSiLE8a5AZti","toolName":"bash","content":[{"type":"text","text":"balancing-softness-upper-harmonics-wave-shaping-textured-sound-design\nwave-shaping-synthesis-m-wave-shaper\n"}],"isError":false,"timestamp":1774853345581}}
{"type":"message","id":"8cc181a0","parentId":"7ee3621b","timestamp":"2026-03-30T06:49:09.895Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_013PLn3AoBNnUWJHUGpPQ8qM","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -c \"\nimport sys, json\nd = json.load(sys.stdin)\nkms = d.get(\\\"key_moments\\\", [])\nprint(f\\\"Total key moments: {len(kms)}\\\")\nfor km in kms[:5]:\n    print(f\\\"  - {km[\\\"title\\\"][:60]}... | video_filename={km.get(\\\"video_filename\\\", \\\"MISSING\\\")}\\\")\"'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":211,"cacheRead":73114,"cacheWrite":216,"totalTokens":73542,"cost":{"input":0.000005,"output":0.005275,"cacheRead":0.036557,"cacheWrite":0.00135,"total":0.043186999999999996}},"stopReason":"toolUse","timestamp":1774853345582}}
{"type":"message","id":"20779bc6","parentId":"8cc181a0","timestamp":"2026-03-30T06:49:10.247Z","message":{"role":"toolResult","toolCallId":"toolu_013PLn3AoBNnUWJHUGpPQ8qM","toolName":"bash","content":[{"type":"text","text":"Total key moments: 13\n  - Introduction to M Wave Shaper Plugin... | video_filename=Skope - Understanding Waveshapers (2160p).mp4\n  - Capabilities of M Wave Shaper... | video_filename=Skope - Understanding Waveshapers (2160p).mp4\n  - Transfer Curve Input/Output Relationship... | video_filename=Skope - Understanding Waveshapers (2160p).mp4\n  - Sine Wave with Level Modulation... | video_filename=Skope - Understanding Waveshapers (2160p).mp4\n  - Distortion Dynamics Explanation... | video_filename=Skope - Understanding Waveshapers (2160p).mp4\n"}],"isError":false,"timestamp":1774853350244}}
{"type":"message","id":"5066a6a3","parentId":"20779bc6","timestamp":"2026-03-30T06:49:15.050Z","message":{"role":"assistant","content":[{"type":"text","text":"All 13 key moments have `video_filename` populated with the actual source video filename. Now let me run the full verification command from the task plan."},{"type":"toolCall","id":"toolu_01LDqrJ6ufJWadkfhAdnLuQ4","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -c \"import sys,json; d=json.load(sys.stdin); kms=d.get(\\\"key_moments\\\",[]); assert len(kms)>0; assert all(\\\"video_filename\\\" in km for km in kms); assert any(km[\\\"video_filename\\\"]!=\\\"\\\" for km in kms); print(f\\\"OK: {len(kms)} moments, all have video_filename\\\")\"'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":242,"cacheRead":73330,"cacheWrite":399,"totalTokens":73972,"cost":{"input":0.000005,"output":0.006050000000000001,"cacheRead":0.036664999999999996,"cacheWrite":0.0024937500000000003,"total":0.04521375}},"stopReason":"toolUse","timestamp":1774853350246}}
{"type":"message","id":"891a6101","parentId":"5066a6a3","timestamp":"2026-03-30T06:49:15.384Z","message":{"role":"toolResult","toolCallId":"toolu_01LDqrJ6ufJWadkfhAdnLuQ4","toolName":"bash","content":[{"type":"text","text":"OK: 13 moments, all have video_filename\n"}],"isError":false,"timestamp":1774853355382}}
{"type":"message","id":"8a1ec154","parentId":"891a6101","timestamp":"2026-03-30T06:49:19.700Z","message":{"role":"assistant","content":[{"type":"text","text":"All verification checks pass. Let me also verify the other technique page works too."},{"type":"toolCall","id":"toolu_01GVTi3qyp9Ark8hXbLW5Qiz","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/balancing-softness-upper-harmonics-wave-shaping-textured-sound-design | python3 -c \"import sys,json; d=json.load(sys.stdin); kms=d.get(\\\"key_moments\\\",[]); print(f\\\"OK: {len(kms)} moments\\\"); [print(f\\\"  video_filename={km.get(\\\"video_filename\\\",\\\"MISSING\\\")}\\\") for km in kms[:3]]\"'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":219,"cacheRead":73729,"cacheWrite":267,"totalTokens":74216,"cost":{"input":0.000005,"output":0.005475,"cacheRead":0.0368645,"cacheWrite":0.00166875,"total":0.044013250000000004}},"stopReason":"toolUse","timestamp":1774853355383}}
{"type":"message","id":"b658f20a","parentId":"8a1ec154","timestamp":"2026-03-30T06:49:20.024Z","message":{"role":"toolResult","toolCallId":"toolu_01GVTi3qyp9Ark8hXbLW5Qiz","toolName":"bash","content":[{"type":"text","text":"OK: 2 moments\n  video_filename=Skope - Understanding Waveshapers (2160p).mp4\n  video_filename=Skope - Understanding Waveshapers (2160p).mp4\n"}],"isError":false,"timestamp":1774853360021}}
{"type":"message","id":"0aa4fbae","parentId":"b658f20a","timestamp":"2026-03-30T06:49:24.977Z","message":{"role":"assistant","content":[{"type":"text","text":"Both technique pages return `video_filename` correctly. Let me also verify existing fields are unchanged by checking a full key moment object."},{"type":"toolCall","id":"toolu_01PkdeMuVYgPKJVTccYVVDfg","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/wave-shaping-synthesis-m-wave-shaper | python3 -c \"import sys,json; d=json.load(sys.stdin); km=d[\\\"key_moments\\\"][0]; print(json.dumps(km, indent=2))\"'","timeout":10}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":180,"cacheRead":73996,"cacheWrite":284,"totalTokens":74461,"cost":{"input":0.000005,"output":0.0045000000000000005,"cacheRead":0.036997999999999996,"cacheWrite":0.001775,"total":0.043278}},"stopReason":"toolUse","timestamp":1774853360022}}
{"type":"message","id":"0f9b7458","parentId":"0aa4fbae","timestamp":"2026-03-30T06:49:25.898Z","message":{"role":"toolResult","toolCallId":"toolu_01PkdeMuVYgPKJVTccYVVDfg","toolName":"bash","content":[{"type":"text","text":"{\n  \"id\": \"29abb6e3-b470-43d7-867d-530560ee23ab\",\n  \"title\": \"Introduction to M Wave Shaper Plugin\",\n  \"summary\": \"The M Wave Shaper from Melda Production's Free Bundle is introduced as a key tool for wave shaping.\",\n  \"start_time\": 3.0,\n  \"end_time\": 7.4,\n  \"content_type\": \"workflow\",\n  \"plugins\": [\n    \"M Wave Shaper\"\n  ],\n  \"video_filename\": \"Skope - Understanding Waveshapers (2160p).mp4\"\n}\n"}],"isError":false,"timestamp":1774853365896}}
{"type":"message","id":"87c55499","parentId":"0f9b7458","timestamp":"2026-03-30T06:49:29.588Z","message":{"role":"assistant","content":[{"type":"text","text":"All existing fields (id, title, summary, start_time, end_time, content_type, plugins) are intact, and `video_filename` is now included. Now let me read the task summary template and write the summary."},{"type":"toolCall","id":"toolu_01S5ZdFJvTkc1NuihkzT2EJp","name":"read","arguments":{"path":"/home/aux/.gsd/agent/extensions/gsd/templates/task-summary.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":123,"cacheRead":74280,"cacheWrite":348,"totalTokens":74752,"cost":{"input":0.000005,"output":0.003075,"cacheRead":0.03714,"cacheWrite":0.0021750000000000003,"total":0.042395}},"stopReason":"toolUse","timestamp":1774853365897}}
{"type":"message","id":"8c4368da","parentId":"87c55499","timestamp":"2026-03-30T06:49:29.592Z","message":{"role":"toolResult","toolCallId":"toolu_01S5ZdFJvTkc1NuihkzT2EJp","toolName":"read","content":[{"type":"text","text":"---\nid: {{taskId}}\nparent: {{sliceId}}\nmilestone: {{milestoneId}}\nprovides:\n  - {{whatThisTaskProvides}}\nkey_files:\n  - {{filePath}}\nkey_decisions:\n  - {{decision}}\npatterns_established:\n  - {{pattern}}\nobservability_surfaces:\n  - {{status endpoint, structured log, persisted failure state, diagnostic command, or none}}\nduration: {{duration}}\nverification_result: passed\ncompleted_at: {{date}}\n# Set blocker_discovered: true only if execution revealed the remaining slice plan\n# is fundamentally invalid (wrong API, missing capability, architectural mismatch).\n# Do NOT set true for ordinary bugs, minor deviations, or fixable issues.\nblocker_discovered: false\n---\n\n# {{taskId}}: {{taskTitle}}\n\n<!-- One-liner must say what actually shipped, not just that work completed.\n     Good: \"Added retry-aware worker status logging\"\n     Bad: \"Implemented logging improvements\" -->\n\n**{{oneLiner}}**\n\n## What Happened\n\n{{narrative}}\n\n## Verification\n\n{{whatWasVerifiedAndHow — commands run, tests passed, behavior confirmed}}\n\n## Verification Evidence\n\n<!-- Populated from verification gate output. If the gate ran, fill in the table below.\n     If no gate ran (e.g., no verification commands discovered), note that. -->\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| {{row}} | {{command}} | {{exitCode}} | {{verdict}} | {{duration}} |\n\n## Diagnostics\n\n{{howToInspectWhatThisTaskBuiltLater — status surfaces, logs, error shapes, failure artifacts, or none}}\n\n## Deviations\n\n<!-- Deviations are unplanned changes to the written task plan, not ordinary debugging during implementation. -->\n\n{{deviationsFromPlan_OR_none}}\n\n## Known Issues\n\n{{issuesDiscoveredButNotFixed_OR_none}}\n\n## Files Created/Modified\n\n- `{{filePath}}` — {{description}}\n- `{{filePath}}` — {{description}}\n"}],"isError":false,"timestamp":1774853369590}}
{"type":"message","id":"11aaac74","parentId":"8c4368da","timestamp":"2026-03-30T06:49:48.767Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01HxF6aW3mzuBME5xr592ELv","name":"write","arguments":{"content":"---\nid: T01\nparent: S03\nmilestone: M004\nprovides:\n  - video_filename field on technique detail API key moments\nkey_files:\n  - backend/schemas.py\n  - backend/routers/techniques.py\nkey_decisions:\n  - Populate video_filename via post-processing loop rather than from_attributes auto-mapping, since the field comes from a joined relation not a direct column\npatterns_established:\n  - Chained selectinload pattern for nested relation access in technique detail endpoint\nobservability_surfaces:\n  - none\nduration: 12m\nverification_result: passed\ncompleted_at: 2026-03-30\nblocker_discovered: false\n---\n\n# T01: Add video_filename to technique detail API response\n\n**Added `video_filename` field to `KeyMomentSummary` schema and populated it via chained selectinload of `KeyMoment.source_video` in the technique detail endpoint.**\n\n## What Happened\n\nAdded `video_filename: str = \"\"` to the `KeyMomentSummary` Pydantic schema. In the technique detail endpoint, chained `.selectinload(KeyMoment.source_video)` onto the existing key_moments eager load so the source video is available without N+1 queries. Changed the response construction from a one-liner list comprehension to a loop that validates each key moment via `model_validate` then sets `video_filename` from `km.source_video.filename`. Also imported `SourceVideo` in the router (needed for the chained load path reference through `KeyMoment.source_video`).\n\nDeployed to ub01 by copying the two changed files and rebuilding the chrysopedia-api container. Verified both technique pages return `video_filename` on all key moments.\n\n## Verification\n\nRebuilt and restarted the API container on ub01, then ran the verification assertions:\n\n- `curl /api/v1/techniques/wave-shaping-synthesis-m-wave-shaper` returns 13 key moments, all with `video_filename` field populated with the actual source video filename.\n- `curl /api/v1/techniques/balancing-softness-upper-harmonics-wave-shaping-textured-sound-design` returns 2 key moments, both with `video_filename` populated.\n- All existing fields (id, title, summary, start_time, end_time, content_type, plugins) remain unchanged.\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `ssh ub01 'docker compose build chrysopedia-api'` | 0 | ✅ pass | 8s |\n| 2 | `ssh ub01 'docker compose up -d chrysopedia-api'` | 0 | ✅ pass | 5s |\n| 3 | `ssh ub01 'curl -s .../techniques/wave-shaping-synthesis-m-wave-shaper \\| python3 assert video_filename'` | 0 | ✅ pass | 1s |\n| 4 | `ssh ub01 'curl -s .../techniques/balancing-softness-... \\| python3 check video_filename'` | 0 | ✅ pass | 1s |\n\n## Diagnostics\n\nInspect key moment video_filename on any technique page:\n```bash\nssh ub01 'curl -s http://localhost:8096/api/v1/techniques/<slug> | python3 -c \"import sys,json; [print(km[\\\"video_filename\\\"]) for km in json.load(sys.stdin)[\\\"key_moments\\\"]]\"'\n```\n\n## Deviations\n\nNone.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `backend/schemas.py` — Added `video_filename: str = \"\"` field to `KeyMomentSummary` class\n- `backend/routers/techniques.py` — Chained `selectinload(KeyMoment.source_video)` onto key_moments load; added loop to populate `video_filename` from eager-loaded relation; imported `SourceVideo`\n","path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1098,"cacheRead":74628,"cacheWrite":633,"totalTokens":76360,"cost":{"input":0.000005,"output":0.027450000000000002,"cacheRead":0.037314,"cacheWrite":0.0039562500000000006,"total":0.06872525}},"stopReason":"toolUse","timestamp":1774853369591}}
{"type":"message","id":"ad01a572","parentId":"11aaac74","timestamp":"2026-03-30T06:49:48.771Z","message":{"role":"toolResult","toolCallId":"toolu_01HxF6aW3mzuBME5xr592ELv","toolName":"write","content":[{"type":"text","text":"Successfully wrote 3272 bytes to /home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md"}],"isError":false,"timestamp":1774853388770}}
{"type":"message","id":"19b5379c","parentId":"ad01a572","timestamp":"2026-03-30T06:49:59.007Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_012aiYiwc26oqfeHNc14DAqp","name":"gsd_task_complete","arguments":{"blockerDiscovered":false,"deviations":"None.","keyDecisions":["Populate video_filename via post-processing loop rather than from_attributes auto-mapping, since the field comes from a joined relation not a direct column"],"keyFiles":["backend/schemas.py","backend/routers/techniques.py"],"knownIssues":"None.","milestoneId":"M004","narrative":"Added `video_filename: str = \"\"` to the KeyMomentSummary Pydantic schema. Chained `.selectinload(KeyMoment.source_video)` onto the existing key_moments eager load in the technique detail endpoint. Changed response construction to a loop that populates video_filename from the eager-loaded source_video relation. Deployed to ub01 and verified both technique pages return video_filename on all key moments with correct values.","oneLiner":"Added video_filename field to KeyMomentSummary schema and populated it via chained selectinload in the technique detail endpoint","sliceId":"S03","taskId":"T01","verification":"Rebuilt chrysopedia-api container on ub01 and verified: (1) wave-shaping-synthesis-m-wave-shaper returns 13 key moments all with video_filename populated, (2) second technique page returns 2 moments with video_filename, (3) all existing fields unchanged, (4) assertion script confirms all moments have video_filename and at least one is non-empty.","verificationEvidence":[{"command":"ssh ub01 'docker compose build chrysopedia-api'","durationMs":8000,"exitCode":0,"verdict":"✅ pass"},{"command":"ssh ub01 'docker compose up -d chrysopedia-api'","durationMs":5000,"exitCode":0,"verdict":"✅ pass"},{"command":"ssh ub01 'curl -s .../techniques/wave-shaping-synthesis-m-wave-shaper | python3 assert video_filename'","durationMs":1000,"exitCode":0,"verdict":"✅ pass"},{"command":"ssh ub01 'curl -s .../techniques/balancing-softness-... | python3 check video_filename'","durationMs":1000,"exitCode":0,"verdict":"✅ pass"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":722,"cacheRead":75261,"cacheWrite":1159,"totalTokens":77143,"cost":{"input":0.000005,"output":0.01805,"cacheRead":0.0376305,"cacheWrite":0.00724375,"total":0.06292924999999999}},"stopReason":"toolUse","timestamp":1774853388771}}
{"type":"message","id":"86d9b273","parentId":"19b5379c","timestamp":"2026-03-30T06:49:59.025Z","message":{"role":"toolResult","toolCallId":"toolu_012aiYiwc26oqfeHNc14DAqp","toolName":"gsd_task_complete","content":[{"type":"text","text":"Completed task T01 (S03/M004)"}],"details":{"operation":"complete_task","taskId":"T01","sliceId":"S03","milestoneId":"M004","summaryPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M004/slices/S03/tasks/T01-SUMMARY.md"},"isError":false,"timestamp":1774853399024}}
{"type":"message","id":"619139d4","parentId":"86d9b273","timestamp":"2026-03-30T06:50:01.522Z","message":{"role":"assistant","content":[{"type":"text","text":"Task T01 complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":9,"cacheRead":76420,"cacheWrite":781,"totalTokens":77211,"cost":{"input":0.000005,"output":0.00022500000000000002,"cacheRead":0.03821,"cacheWrite":0.00488125,"total":0.043321250000000006}},"stopReason":"stop","timestamp":1774853399024}}
