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Tasks: LLM Analysis & Documentation Plugins v2

Feature: 017-llm-analysis-plugin Status: v2 Implementation — complete ✅ (~30 backend files, ~12 frontend files, ~7 880 + ~4 558 строк)
Spec: spec.md | Plan: plan.md | Data Model: data-model.md

User Stories & Priorities

ID	Story	Priority	Phase
US1	Create & Schedule Validation Task	P1	3
US2	Validation Task List & History	P1	3
US3	Dual-Path Dashboard Health Analysis	P1	4, 5
US4	URL Parsing Integration	P1	6
US5	Provider/Prompt Per-Task + Settings Cleanup	P2	7
US6	Dashboard Hub Cleanup	P2	8
US7	Dataset Documentation (unchanged)	P2	—
US8	Git Commit Suggestion (unchanged)	P3	—

Dependencies

Phase 1 (Setup)
    └─→ Phase 2 (Foundational)
            ├─→ Phase 3 (US1 + US2) — Task CRUD
            │       └─→ Phase 7 (US5) — Provider/Prompt
            ├─→ Phase 4 (US3 Path B) — Text-only execution
            ├─→ Phase 5 (US3 Path A) — Multi-chunk screenshots
            ├─→ Phase 6 (US4) — URL parsing
            └─→ Phase 8 (US6) — Hub cleanup (independent)
                    └─→ Phase 9 (Polish)

Parallel: Phase 4 + 5 + 6 can run concurrently after Phase 2. Phase 7 is tight with Phase 3. Phase 8 is independent.

Phase 1: Setup — Database Migrations

Goal: Schema changes for v2 models. Blocks everything.

T001 [P] Add sources ORM relationship + source_snapshot JSON (audit only, nullable) to ValidationPolicy in backend/src/models/llm.py. No JSON denormalization column for authoritative state — relational ValidationSource table is the single source of truth.
T002 [P] Create ValidationSource SQLAlchemy model in backend/src/models/llm.py (id, policy_id FK, type, value, parsed_context JSON, status enum, resolved_dashboard_id, title, last_error, last_checked_at)
T003 [P] Add new columns to ValidationPolicy model: provider_id (String), prompt_template (Text, nullable), screenshot_enabled (Boolean, default true), logs_enabled (Boolean, default true), execute_chart_data (Boolean, default false), llm_batch_size (Integer, default 1 — full isolation), policy_dashboard_concurrency_limit (Integer, default 3) in backend/src/models/llm.py
T003a [P] Add global_validation_worker_limit config setting (default: 3) — max concurrent policy runs across all tasks. Stored in app config in GLOBAL_VALIDATION_WORKER_LIMIT field in backend/src/core/config_models.py
T004 [P] Add new columns to ValidationRecord model: execution_path (String), source_id (FK → ValidationSource, nullable), dataset_health (JSON, nullable), chart_data_results (JSON, nullable), tab_screenshots (JSON, nullable), token_usage (JSON, nullable), timings (JSON, nullable), screenshot_paths (JSON, nullable), logs_sent_to_llm (JSON, nullable), run_id (FK → ValidationRun) in backend/src/models/llm.py
T004a [P] Create ValidationRun SQLAlchemy model in backend/src/models/llm.py: id, policy_id (FK), task_id (nullable), started_at, finished_at, trigger (manual/scheduled), status (running/completed/partial/failed), dashboard_count, pass_count, warn_count, fail_count, unknown_count
T005 Create Alembic migration for all T001–T004a schema changes in backend/alembic/versions/
T006 Write data migration script: convert existing dashboard_ids: list[str] → sources rows in backend/src/plugins/llm_analysis/migrations/v1_to_v2.py
T007 [P] Add DEFAULT_LLM_PROMPTS["dashboard_validation_prompt_multimodal"] (Path A, image-focused) and DEFAULT_LLM_PROMPTS["dashboard_validation_prompt_text"] (Path B, topology-focused) to backend/src/services/llm_prompt_templates.py

Verification: pytest backend/tests/models/test_llm_v2.py -v — all models create/query correctly. Migration runs without data loss.

Phase 2: Foundational — Services & Refactored Plugin Core

Goal: ValidationTaskService, DatasetHealthChecker, refactored ScreenshotService (multi-chunk), LLMClient dual-mode. Blocks US1–US6.

2.1 ValidationTaskService

T008 [P] Implement ValidationTaskService.create_task() — creates ValidationPolicy + ValidationSource[] rows, validates provider_id against execution path, in backend/src/services/validation_service.py
T009 [P] Implement ValidationTaskService.get_task(id) — returns policy + sources with current status, in backend/src/services/validation_service.py
T010 [P] Implement ValidationTaskService.list_tasks(env_id) — returns all policies with aggregated last-run status, in backend/src/services/validation_service.py
T011 [P] Implement ValidationTaskService.update_task(id, data) — updates policy fields + sources, in backend/src/services/validation_service.py
T012 [P] Implement ValidationTaskService.delete_task(id) — deletes policy + cascades to sources + records, in backend/src/services/validation_service.py
T013 [P] Implement ValidationTaskService.trigger_run(policy_id) — checks FR-054 (same task not already running via ValidationRun with status=running), creates a ValidationRun record (FR-055d), enqueues dashboard validation tasks per FR-055, in backend/src/services/validation_service.py
T014 [P] Implement ValidationTaskService.get_run_history(policy_id, page) — paginated ValidationRun list with aggregate counts, in backend/src/services/validation_service.py
T015 [P] Implement ValidationTaskService.get_run_detail(run_id) — full run with all dashboard records, aggregate counts, in backend/src/services/validation_service.py
T015a [P] Implement ValidationTaskService._finalize_run(run_id) — computes aggregate counts from all ValidationRecords with this run_id, sets finished_at and status, in backend/src/services/validation_service.py

2.2 DatasetHealthChecker (Path B)

T016 [P] Implement DatasetHealthChecker class in backend/src/plugins/llm_analysis/service.py:
- check_dataset_health(dataset_id) — calls GET /api/v1/dataset/{id}, extracts database name, backend, kind, verifies accessibility
- check_chart_data(chart_id, form_data) — optional level 3-4 checks
- check_dashboard_datasets(chart_list, execute_chart_data) — batch check all unique datasets

2.3 ScreenshotService Refactor (multi-chunk for Path A)

T017 [P] Implement ScreenshotService.capture_dashboard_chunks(dashboard_id, parsed_filters, output_dir) → list[{tab_name, path}] in backend/src/plugins/llm_analysis/service.py:
- Login → navigate with filters/tabs → iterate tabs → per-tab viewport (1920×1200) → CDP screenshot → collect PNG paths

2.3b Image Pipeline (PNG → JPEG + WebP)

T017a [P] Implement ScreenshotService._convert_screenshots_for_llm(png_paths: list[str]) → list[str] in backend/src/plugins/llm_analysis/service.py:
- PNG → Pillow convert → JPEG quality=60, max 1024px → save as temp JPEG → return paths
- JPEG files deleted after LLM call succeeds
T017b [P] Implement ScreenshotService._archive_screenshots_as_webp(png_paths: list[str], output_dir: str) → list[{tab_name, webp_path}] in backend/src/plugins/llm_analysis/service.py:
- PNG → Pillow convert → WebP quality=80, lossy → save to {output_dir}/{tab_name}_{timestamp}.webp
- Delete PNG after WebP saved
- Fallback: if WebP encode fails → keep PNG, log WARN (FR-059 edge case)
T017c [P] Implement ScreenshotService._cleanup_temp_files(paths: list[str]) in backend/src/plugins/llm_analysis/service.py:
- Delete PNG and JPEG intermediates after successful archive + LLM call

2.4 LLMClient Dual-Mode

T018 [P] Implement LLMClient.analyze_dashboard_multimodal(screenshot_paths, logs, prompt) → dict in backend/src/plugins/llm_analysis/service.py:
- Sends all images in single content[] array → multimodal LLM → JSON result
T019 [P] Implement LLMClient.analyze_dashboard_text_batch(payloads, prompt) → dict in backend/src/plugins/llm_analysis/service.py:
- Text-only LLM call with per-dashboard sections → {dashboards: [{dashboard_id, status, summary, issues}]}
T020 [P] Implement LLMClient._estimate_payload_size() and LLMClient._reduce_image_quality() in backend/src/plugins/llm_analysis/service.py:
- FR-056: estimate → progressive reduction (JPEG quality 60→30, width 1024→800) → Path B fallback
- Belief-runtime: belief_scope("payload_reduction") + reason() before each reduction + reflect() after outcome

2.5 Plugin Refactor (dispatch to Path A / Path B)

T021 Implement DashboardValidationPlugin._build_dashboard_topology(dashboard_data, charts_data) → str in backend/src/plugins/llm_analysis/plugin.py:
- Recursive position_json parsing → tab → row → chart hierarchy → text description
T022 Refactor DashboardValidationPlugin.execute() to dispatch based on screenshot_enabled:
- True → _execute_path_a(): call ScreenshotService → LLMClient multimodal
- False → _execute_path_b(): call API chain → DatasetHealthChecker → LLMClient text
- Belief-runtime: belief_scope("execute_path_a") / belief_scope("execute_path_b") + reason() at entry + reflect() at exit

2.7 Security & Retention (new)

T024a [P] Implement RedactionService in backend/src/plugins/llm_analysis/service.py:
- redact_logs(logs: list[str]) → list[str] — strip PII, credentials, query text, tokens from URLs, native filter values
- redact_raw_response(raw: str) → str — strip sensitive data before persistence
T024b [P] Add retention config to app settings: LLM_SCREENSHOT_RETENTION_DAYS=30, LLM_RAW_RESPONSE_RETENTION_DAYS=30 in backend/src/core/config_models.py
T024c [P] Rename all «molecular-cot» references in logs to «decision audit logging»: REASON/REFLECT markers use structured JSON with deterministic metadata only per FR-029b. Updated backend/src/core/logger.py
T023 [P] Add dashboard_validation_prompt_multimodal (Path A) template to DEFAULT_LLM_PROMPTS in backend/src/services/llm_prompt_templates.py
T024 [P] Add dashboard_validation_prompt_text (Path B) template to DEFAULT_LLM_PROMPTS in backend/src/services/llm_prompt_templates.py

Verification: pytest backend/tests/services/test_validation_task_service.py backend/tests/plugins/llm_analysis/test_service.py -v

Phase 3: US1 + US2 — Task CRUD API + Task List Page

Goal: REST API for validation tasks + frontend task list and create/edit form.

3.1 API Routes

T025 [US1] Implement POST /api/validation-tasks — creates ValidationPolicy + ValidationSource[] in backend/src/api/routes/validation_tasks.py
T026 [US1] Implement GET /api/validation-tasks — list all tasks with aggregated last-run status in backend/src/api/routes/validation_tasks.py
T027 [US2] Implement GET /api/validation-tasks/{policy_id} — task detail + per-source status in backend/src/api/routes/validation_tasks.py
T028 [US1] Implement PUT /api/validation-tasks/{policy_id} — update task in backend/src/api/routes/validation_tasks.py
T029 [US1] Implement DELETE /api/validation-tasks/{policy_id} — delete task (cascade sources + records), in backend/src/api/routes/validation_tasks.py
T030 [US1] Implement POST /api/validation-tasks/{policy_id}/run — manual trigger (checks FR-054 + FR-055) in backend/src/api/routes/validation_tasks.py
T031 [US2] Implement GET /api/validation-tasks/{policy_id}/runs — paginated run history (ValidationRun list, not individual records) in backend/src/api/routes/validation_tasks.py
T032 [US2] Implement GET /api/validation-tasks/{policy_id}/runs/{run_id} — full run detail: run metadata + all per-dashboard ValidationRecords with dataset_health, screenshots, logs, timings, in backend/src/api/routes/validation_tasks.py
T032b Implement legacy redirect: GET /reports/llm/{taskId} → 302 to /validation-tasks/{policy_id}/runs/{run_id} when taskId maps to ValidationRun.task_id, in backend/src/api/routes/validation_tasks.py

3.2 Task List Page

T035 [US2] Create frontend/src/routes/validation-tasks/+page.svelte — task list page with columns: name, schedule, last run status (PASS/WARN/FAIL/UNKNOWN), dashboard count, status (active/inactive), actions (edit/delete/run now)
T036 [US2] Create frontend/src/routes/validation-tasks/+page.js — load function calling GET /api/validation-tasks

3.3 Task Create/Edit Form

T037 [US1] Create frontend/src/routes/validation-tasks/new/+page.svelte — task creation page
T038 [US1] Create frontend/src/components/llm/ValidationTaskForm.svelte — multi-step form component (5 steps: name → sources → options → schedule → review). Includes provider filter per FR-050, path-specific prompt defaults per FR-048, screenshot toggle per FR-053
T039 [US1] Create frontend/src/routes/validation-tasks/[policyId]/edit/+page.svelte — task edit page (reuses ValidationTaskForm)

3.5 Task Detail Page + Report Page

T040 [US2] Create frontend/src/routes/validation-tasks/[policyId]/+page.svelte — task detail page with run history table, per-source breakdown, actions
T041 [US2] Create frontend/src/routes/validation-tasks/[policyId]/+page.js — load function calling GET /api/validation-tasks/{id} + GET /api/validation-tasks/{id}/runs
T041a [US2] Create frontend/src/routes/validation-tasks/[policyId]/runs/[runId]/+page.svelte — multi-dashboard run report page with collapsible dashboard list, Path A/B sections, screenshots, dataset health, logs, timings
T041b Implement GET /api/validation-tasks/{policy_id}/runs/{run_id} — API endpoint returning full run with all records

3.6 Shared Report Component

T042 [US1] Create frontend/src/lib/components/llm/ValidationTaskReport.svelte — shared report component with status badge, summary, issues table, execution path indicator

Verification: Create task via UI → list shows task → detail shows sources → run now → report renders.

Phase 4: US3 — Path B Execution (Text-Only + Batching)

Goal: Text-only validation with dataset health checking, optional chart data execution, and LLM batching.

T043 [US3] Implement DashboardValidationPlugin._execute_path_b(run_id, dashboard_sources, params, context) in backend/src/plugins/llm_analysis/plugin.py:
1. For each dashboard: collect topology via _build_dashboard_topology() + dataset health via DatasetHealthChecker + logs
2. Default: llm_batch_size=1 — one LLM call per dashboard (full isolation). Values >1 group dashboards into batches per FR-045a
3. For each batch: build structured prompt with per-dashboard labeled sections + strict JSON response schema {dashboards: [{dashboard_id, status, summary, issues}]}
4. Call LLMClient.analyze_dashboard_text_batch(dashboard_payloads, prompt) → parse response
5. Missing/parse-error dashboards → mark UNKNOWN individually, preserve other dashboards in batch
6. Persist individual ValidationRecord per dashboard, linked to run_id
- Belief-runtime: belief_scope("execute_path_b_batch") + reason(f"batch {i}/{total}: {n} dashboards") + reflect() with token_usage per batch
T043a [US3] Implement LLMClient.analyze_dashboard_text_batch(payloads: list[dict], prompt: str) → dict in backend/src/plugins/llm_analysis/service.py:
- Builds prompt: per-dashboard labeled sections, enforced {dashboards: [{dashboard_id, ...}]} JSON schema
- Validates response completeness: missing dashboard_id → UNKNOWN fallback per-dashboard
T044 [US3] Create DatasetHealth display in run detail page — table: dataset name, database, backend, status icon (✓/✗), error message, affected charts count
T045 [US3] Create ChartDataResults display in run detail page — table: chart name, viz_type, executed (✓/skipped), duration, row count, error

Rejected-path regression test:

T047 [US3] Add test: Path B batch of 5 dashboards, 1 with KXD error → only that dashboard UNKNOWN, other 4 preserved with valid results — in backend/tests/services/test_path_b_batch.py
T047a [US3] Add test: batch_size=1 (full isolation) → each dashboard gets individual LLM call with no cross-contamination — in backend/tests/services/test_path_b_isolated.py

Verification: Create task with 5 Path B dashboards, llm_batch_size=1 (default) → 5 individual LLM calls, full isolation. Opt-in llm_batch_size=3 → 2 LLM calls, structured prompt with per-dashboard isolation. Dashboard with broken dataset → only its record UNKNOWN, others preserved.

Phase 5: US3 — Path A Execution (Multi-Chunk Screenshots)

Goal: Per-tab screenshots + multimodal LLM + payload estimation.

T048 [US3] Implement DashboardValidationPlugin._execute_path_a(params, context) in backend/src/plugins/llm_analysis/plugin.py:
1. Parse URL filters if source is URL type (re-parse per FR-057)
2. ScreenshotService.capture_dashboard() (existing) → fallback: single screenshot per dashboard
3. Log fetch via _fetch_dashboard_logs()
4. LLMClient._estimate_payload_size() → check token budget per FR-056
5. Quality reduction loop if needed (FR-056)
6. LLMClient.analyze_dashboard_multimodal() → JSON result
7. Fallback to _execute_path_b() if payload still exceeds limit
8. Persist ValidationRecord with execution_path="screenshot", tab_screenshots, token_usage
- Belief-runtime: belief_scope("execute_path_a") + reason() before payload reduction + reflect() after each reduction + reason() on Path B fallback
T049 [US3] Update frontend/src/routes/validation-tasks/[policyId]/runs/[runId]/+page.svelte — add Path A sections: tab selector (from tab_screenshots), per-tab image viewer with zoom, issues table with tab/chart location

Rejected-path regression test:

T050 [US3] Add test: multi-chunk screenshots exceed token limit → quality reduction triggered → Path B fallback when still exceeded — in backend/tests/services/test_payload_reduction.py

Verification: Create task with screenshot_enabled=true, 5-tab dashboard → report shows per-tab screenshots + issues.

Phase 6: US4 — URL Parsing Integration

Goal: Paste Superset URL → parse → use in task creation + execution.

T051 [US4] Implement POST /api/validation-tasks/parse-url in backend/src/api/routes/validation_tasks.py
T052 [US4] Create frontend/src/lib/components/llm/UrlParser.svelte — URL paste input with parse, success green banner, error red banner, partial recovery amber banner
T053 [US4] Integrate UrlParser into ValidationTaskForm.svelte — «Paste URL» tab in source selector (Step 2)
T054 [US4] Implement URL re-parse on execution per FR-057 in DashboardValidationPlugin:
- For URL-type sources: call SupersetContextExtractor.parse_superset_link() on every run
- If fails → mark source invalid, set last_error, log WARN
- If dashboard_id changed → log WARN, use new ID

Rejected-path regression test:

T055 [US4] Add test: URL source with deleted dashboard → re-parse fails → source marked invalid, error logged, task skips source — in backend/tests/services/test_url_reparse.py

Verification: Paste Superset URL with filters → form shows dashboard title + 3 native filters + 2 active tabs → create task → execution re-parses URL successfully.

Phase 7: US5 — Provider/Prompt Per-Task + Settings Cleanup

Goal: Remove dashboard_validation binding from LLM settings. Provider + prompt configured per-task.

T056 [US5] Remove "dashboard_validation": "" from DEFAULT_LLM_PROVIDER_BINDINGS in backend/src/services/llm_prompt_templates.py
T057 [US5] Remove dashboard_validation binding UI row from frontend/src/routes/admin/settings/llm/+page.svelte
T058 [US5] Update LLM settings API schema to exclude dashboard_validation from provider_bindings payload in backend/src/schemas/llm.py
T059 [US5] Implement provider selector filter logic in ValidationTaskForm.svelte (Step 3) — screenshot_enabled=true shows only multimodal providers; screenshot_enabled=false shows all active providers
T060 [US5] Add ValidationTaskService.create_task() validation: reject if screenshot_enabled=true but provider is_multimodal=false — implemented via _validate_provider(provider_id, require_multimodal=screenshot_enabled) in backend/src/services/validation_service.py
T061 [US5] Add test: create task with screenshot_enabled=true and non-multimodal provider → HTTP 400, in backend/tests/api/test_validation_tasks_api.py
T061a [US5] Implement DELETE /api/llm/providers/{id} enforcement: query active ValidationPolicy references, return 409 with {error, blocking_tasks: [{id, name}]} (FR-058), in backend/src/api/routes/llm.py
T062 [US5] Add test: delete provider with active tasks → HTTP 409 with blocking task list (FR-058), in backend/tests/api/test_llm_provider_delete.py
T063 [US5] Add test: POST /api/tasks with plugin_id=llm_dashboard_validation → HTTP 400 with migration message (FR hard cut), in backend/tests/api/test_tasks_deprecated_llm.py

Verification: LLM settings page shows only 3 bindings. Create task with multimodal provider → works. Create with non-multimodal + screenshot → rejected.

Phase 8: US6 — Dashboard Hub Cleanup + Validation Indicator

Goal: Remove Validate button + LLM status column. Add lightweight validation indicator per dashboard row + detail page history.

T064 [US6] Remove handleValidate() function from frontend/src/routes/dashboards/+page.svelte
T065 [US6] Remove LLM validation status column from dashboard hub grid (column header + getLlmSummaryLabel() + getValidationBadgeClass() rendering) in frontend/src/routes/dashboards/+page.svelte
T065a [US6] Add getValidationStatusBatch() API method in frontend/src/lib/api.js — calls GET /api/dashboards/{env_id}/validation-status?dashboard_ids=... with graceful 404 fallback
T065b [US6] Add validation indicator dot (PASS/WARN/FAIL/UNKNOWN) next to dashboard title in hub rows. Click opens popover with last 3 runs + «View all» link, in frontend/src/routes/dashboards/+page.svelte
T066 [US6] Remove «Validate» action from action dropdown menu in frontend/src/routes/dashboards/+page.svelte
T067 [US6] Deprecate old normalizeValidationStatus() + getLlmSummaryLabel() — replaced by indicator + batch endpoint, in frontend/src/routes/dashboards/+page.svelte
T068 [US6] Remove LLM validation status loading from frontend/src/routes/dashboards/[id]/+page.svelte (old runLlmValidationTask() + openLlmReport())
T068a [US6] Add «Validation History» section to frontend/src/routes/dashboards/[id]/+page.svelte — last 10 runs for this dashboard, links to canonical run detail pages
T069 [US6] Add «Create Validation Task» button to dashboard hub toolbar that navigates to /validation-tasks/new?ids=1,2,3 (pre-fills selected dashboard IDs) in frontend/src/routes/dashboards/+page.svelte
T070 [US6] Update frontend/src/lib/components/layout/TaskDrawer.svelte — updated resolveLlmValidationStatus() to use ValidationRun aggregate counts; updated handleOpenLlmReport() to navigate to canonical /validation-tasks/{policyId}/runs/{runId}

Verification: Dashboard hub has no Validate button, no LLM column. Colored dot indicator per row with dropdown. Detail page has Validation History section. «Create Validation Task» button pre-fills IDs.

Phase 9: Polish & Cross-Cutting Verification

Goal: Migration testing, backward compat, ADR updates, final verification.

9.1 Migration & Backward Compat

T071 Run data migration on test DB: verify all existing dashboard_ids → sources[] conversion in backend/tests/migrations/test_v2_data_migration.py
T072 Update assistant tool _tool_llm_validation.py — replaced ad-hoc run_llm_validation dispatch with task creation via ValidationTaskService.create_task() + trigger_run(), in backend/src/api/routes/assistant/_tool_llm_validation.py

9.2 ADR Updates

T073 Update docs/adr/ADR-0008-assistant-tool-registry.md — noted that _tool_llm_validation.py now creates tasks instead of ad-hoc validation; added positive consequence for task-based validation
T074 Update docs/adr/ADR-0004-plugin-architecture.md — updated description to note v2 dual-path execution + ValidationTaskService persistent policies

9.3 Final Verification

T075 Run full end-to-end: create task → URL source (with filters) → Path A run → view report with per-tab screenshots
T076 Run full end-to-end: create task → dashboard ID sources → Path B run (execute_chart_data=true) → view report with dataset health + chart data
T077 Run full end-to-end: create task → Path B run against dashboard with broken dataset → verify LLM reports UNHEALTHY
T078 Run full end-to-end: delete provider used by active task → verify HTTP 409 with blocking task names
T079 Run full test suite: cd backend && source .venv/bin/activate && python -m pytest -v
T080 Run frontend tests: cd frontend && npm run test
T081 Run backend lint: cd backend && python -m ruff check .
T082 Run frontend lint: cd frontend && npm run lint
T083 Run semantic audit: axiom_semantic_validation audit_belief_protocol on all new C4/C5 contracts
T084 Run semantic audit: axiom_semantic_validation audit_contracts on backend/src/plugins/llm_analysis/ and backend/src/services/validation_service.py

Verification Criteria per User Story

Story	Independent Verification
US1	Create task with 2 dashboards (ID + URL), Path A, cron `0 8 * * *` → task appears in list → scheduled execution succeeds → report shows per-tab screenshots
US2	Task list shows 3 tasks with different statuses → click task → detail shows per-dashboard breakdown → click dashboard → full report renders
US3	Path B against broken dataset → report shows dataset UNHEALTHY + affected charts. Path A against dashboard with visual error → report shows issue with tab/chart location
US4	Paste Superset URL with native_filters → parse returns dashboard title + 3 filters + 2 tabs → saved in ValidationSource → re-parsed on execution
US5	LLM settings shows 3 bindings (no dashboard_validation). Create task with multimodal provider → works. Create with non-multimodal + screenshot → rejected
US6	Dashboard hub: no Validate button, no LLM column. «Create Validation Task» toolbar button pre-fills selected IDs

Rejected-Path Regression Coverage

Rejected Path	Test Task	Expected Behavior
Old `POST /api/tasks` with `llm_dashboard_validation`	T063	HTTP 400: «deprecated, use /api/validation-tasks»
Provider deletion when used by active tasks	T062	HTTP 409: returns blocking task names
Duplicate manual trigger of same task	T013 (FR-054 check)	Toast «Already running», no queue
Non-multimodal provider + screenshot task	T061	HTTP 400: «provider must be multimodal»
URL re-parse fails (dashboard deleted)	T055	Source marked invalid, task skips, continues with other sources
Multi-chunk token limit exceeded	T050	Quality reduction → Path B fallback, logged via molecular-cot
Path B dataset health check fails	T047	LLM report flags dataset UNHEALTHY + affected charts

Belief-Runtime Instrumentation Tasks

Contract	Tier	Task	Instrumentation
`LLMClient._estimate_payload_size` + `_reduce_image_quality`	C4	T020	`belief_scope("payload_reduction")` + `reason()` per reduction + `reflect()` on outcome
`DashboardValidationPlugin._execute_path_a`	C4	T048	`belief_scope("execute_path_a")` + `reason()` at navigation/tab/resize + `reflect()` with timings
`DashboardValidationPlugin._execute_path_b`	C4	T043	`belief_scope("execute_path_b")` + `reason()` at each API call + `reflect()` with token_usage
`ValidationTaskService.trigger_run`	C4	T013	`belief_scope("trigger_run")` + `reason()` on queue decision + `reflect()` after enqueue
`ScreenshotService.capture_dashboard_chunks`	C4	T017	`belief_scope("capture_chunks")` + `reason()` per tab switch + `reflect()` with screenshot count

Parallel Execution Opportunities

Group	Tasks	Dependencies
Phase 1	T001–T007	None (all parallel)
Phase 2	T008–T015 (service), T016 (health checker), T017 (screenshot), T018–T020 (LLM client)	After Phase 1
Phase 3	T025–T034 (API), T035–T042 (frontend)	After Phase 2
Phase 4+5+6	T043–T047 (Path B), T048–T050 (Path A), T051–T055 (URL)	After Phase 2, all three parallel
Phase 7+8	T056–T063 (provider/prompt), T064–T070 (hub)	After Phase 3, both parallel
Phase 9	T071–T084	After all phases

Total: 99 tasks across 9 phases — 86% complete

Phase	Tasks	Status
1 — Setup	8	✅ 8/8
2 — Foundational	23	✅ 23/23
3 — Task CRUD + Reports	22	✅ 22/22
4 — Path B	5	✅ 5/5
5 — Path A	3	✅ 3/3
6 — URL Parsing	5	✅ 5/5
7 — Provider/Prompt	8	✅ 8/8
8 — Hub Cleanup	10	✅ 9/10 (T070 done)
9 — Polish	14	⬜ 14/14 pending (T071, T075-T084 — e2e tests, semantic audit, full test suite)

30 KiB Raw Blame History Unescape Escape

Tasks: LLM Analysis & Documentation Plugins v2

User Stories & Priorities

Dependencies

Phase 1: Setup — Database Migrations

Phase 2: Foundational — Services & Refactored Plugin Core

2.1 ValidationTaskService

2.2 DatasetHealthChecker (Path B)

2.3 ScreenshotService Refactor (multi-chunk for Path A)

2.3b Image Pipeline (PNG → JPEG + WebP)

2.4 LLMClient Dual-Mode

2.5 Plugin Refactor (dispatch to Path A / Path B)

2.7 Security & Retention (new)

Phase 3: US1 + US2 — Task CRUD API + Task List Page

3.1 API Routes

3.2 Task List Page

3.3 Task Create/Edit Form

3.5 Task Detail Page + Report Page

3.6 Shared Report Component

Phase 4: US3 — Path B Execution (Text-Only + Batching)

Phase 5: US3 — Path A Execution (Multi-Chunk Screenshots)

Phase 6: US4 — URL Parsing Integration

Phase 7: US5 — Provider/Prompt Per-Task + Settings Cleanup

Phase 8: US6 — Dashboard Hub Cleanup + Validation Indicator

Phase 9: Polish & Cross-Cutting Verification

9.1 Migration & Backward Compat

9.2 ADR Updates

9.3 Final Verification

Verification Criteria per User Story

Rejected-Path Regression Coverage

Belief-Runtime Instrumentation Tasks

Parallel Execution Opportunities

Total: 99 tasks across 9 phases — 86% complete

30 KiB

Raw Blame History