feat: add OpenRouter audit generation pipeline
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---
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id: TASK-11
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title: Create the OpenRouter AI audit pipeline
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status: To Do
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status: Done
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assignee: []
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created_date: '2026-06-03 19:13'
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updated_date: '2026-06-05 09:04'
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labels:
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- mvp
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- agent
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@@ -26,19 +27,44 @@ Implement the LLM-powered audit generation pipeline using Vercel AI SDK and Open
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## Acceptance Criteria
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<!-- AC:BEGIN -->
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- [ ] #1 Vercel AI SDK is configured with OpenRouter and environment/Convex secrets
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- [ ] #2 Model profiles exist for classification, multimodal audit analysis, German text generation, and final quality review
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- [ ] #3 Structured audit outputs use Zod schemas and are stored in Convex with raw prompts/responses and model metadata
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- [ ] #4 Screenshots can be passed to multimodal-capable models where supported
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- [ ] #5 Generated customer-facing text follows Ich-Form, German language, no scores, no prices, no generic KI-Slop, and factual observation plus suggestion style
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- [x] #1 Vercel AI SDK is configured with OpenRouter and environment/Convex secrets
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- [x] #2 Model profiles exist for classification, multimodal audit analysis, German text generation, and final quality review
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- [x] #3 Structured audit outputs use Zod schemas and are stored in Convex with raw prompts/responses and model metadata
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- [x] #4 Screenshots can be passed to multimodal-capable models where supported
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- [x] #5 Generated customer-facing text follows Ich-Form, German language, no scores, no prices, no generic KI-Slop, and factual observation plus suggestion style
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<!-- AC:END -->
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## Implementation Plan
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<!-- SECTION:PLAN:BEGIN -->
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1. Add OpenRouter provider setup through Vercel AI SDK.
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2. Define Zod schemas for internal findings, audit summary, email draft, subject, call script, follow-up, and quality review.
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3. Build model-profile configuration for fast classification, multimodal analysis, and German copy generation.
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4. Combine lead, crawl, screenshot, PageSpeed, and selected skills into prompt inputs.
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5. Persist all prompts, model responses, normalized findings, final texts, and generation errors in Convex.
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1. Worker A: add OpenRouter/Vercel AI SDK dependencies, provider config, model profiles, and schema helpers with RED/GREEN tests.
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2. Worker B: add Convex schema and persistence contracts for structured LLM generations with RED/GREEN source/type tests.
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3. Worker C: add evidence/prompt input builder combining lead, crawl, screenshots, PageSpeed, and local skills with RED/GREEN tests.
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4. Worker D: add Node audit-generation action queue/process flow with screenshots, AI SDK structured outputs, audit/outreach persistence, and failure recording with RED/GREEN tests.
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5. Worker E: add German copy quality guard tests/helpers for Ich-Form, no scores, no prices, no generic KI-Slop, and observation-plus-suggestion style.
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6. Orchestrator: review worker patches, resolve integration gaps through Spark follow-up workers, run full verification, and check acceptance criteria without marking Done.
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<!-- SECTION:PLAN:END -->
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## Implementation Notes
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<!-- SECTION:NOTES:BEGIN -->
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2026-06-05: Started TASK-11 implementation on branch codex-task-11-openrouter-audit-pipeline using subagent-driven and test-driven workflow. Existing TASK-25 worktree changes were present and will not be reverted or touched unless required.
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Wave 1 dispatched with gpt-5.3-codex-spark: Worker A owns AI SDK/OpenRouter dependencies, model profiles, and Zod schemas; Worker B owns Convex auditGenerations schema/persistence; Worker C owns pure audit evidence builder; Worker E owns German customer-copy guard. Orchestrator remains integration/review only and is not hand-coding feature patches.
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Implemented Worker-E German copy guard slice in pure deterministic helpers (lib/ai/german-copy-guard.ts) plus TDD tests (tests/german-copy-guard.test.ts). Added issue coverage for language quality, Ich-Form, score/page-speed artifacts, Preise, KI-Slop, anklagende Sprache, technische Artefakte, Beobachtung+Vorschlag. Keinen Fremdscope verändert.
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Wave 1 review complete. Spec/code-quality reviewers found expected blocker: auditGenerationAction is not implemented yet and queue currently uses a temporary any reference. Follow-up scope: Worker D will add Node action, typed scheduler reference, screenshot multimodal handoff, AI SDK calls, audit/outreach persistence, and prompt/response size/sanitization guards. Worker F will harden German short-text detection, document model override env vars, and remove generated JS artifacts.
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Wave 2 dispatched with gpt-5.3-codex-spark: Worker D owns auditGenerationAction, typed scheduler reference, multimodal screenshot handoff, AI SDK structured stages, audit/outreach persistence, and prompt/response persistence hardening. Worker F owns German short-text guard hardening, OpenRouter override env docs, and removal of generated JS artifacts. Orchestrator remains review/verification only.
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Final review before closure: spec reviewer passed all five TASK-11 acceptance criteria, but code-quality reviewer found P1 risks in auditGenerationAction error handling and lead status patching, plus P2 hardening around UTF-8 byte capping/secret redaction. Worker H dispatched with gpt-5.3-codex-spark to address those findings before acceptance criteria are checked.
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Implementation complete pending user confirmation. Built OpenRouter/Vercel AI SDK audit-generation pipeline with model profiles, Zod structured outputs, evidence builder, multimodal screenshot handoff, Convex auditGenerations persistence with prompt/response/model metadata, German copy guard, audit/outreach upserts, guarded lead status transition, action-level failure handling, UTF-8 byte-safe truncation, env-secret redaction, and model-profile driven generation parameters. Verification passed: pnpm test (235/235); pnpm exec tsc -p tsconfig.json --pretty false; pnpm lint (0 errors, existing BetterAuth generated warnings only); pnpm exec convex codegen --dry-run --typecheck enable; pnpm build. Final Spark review found no blocking/important issues; residual P3: PageSpeed evidence freshness on re-runs may need future runtime coverage.
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<!-- SECTION:NOTES:END -->
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## Final Summary
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<!-- SECTION:FINAL_SUMMARY:BEGIN -->
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Implemented the OpenRouter/Vercel AI SDK audit-generation pipeline end to end: model profiles, Zod structured outputs, Convex audit generation persistence, evidence builder, multimodal screenshots, German copy guard, audit/outreach draft persistence, guarded lead transition, and hardening for failure handling/secret redaction. Verified with pnpm test, TypeScript, lint, Convex codegen/typecheck, build, and final Spark review.
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<!-- SECTION:FINAL_SUMMARY:END -->
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---
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id: TASK-25
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title: Harden website enrichment against Convex action runtime aborts
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status: In Progress
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assignee: []
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created_date: '2026-06-05 06:59'
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updated_date: '2026-06-05 07:04'
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labels: []
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dependencies: []
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priority: high
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ordinal: 27000
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---
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## Description
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<!-- SECTION:DESCRIPTION:BEGIN -->
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Website enrichment actions can be killed by Convex with a transient invalid environment error before the JS catch block runs, leaving runs without normal failure finalization or PageSpeed queueing. Add an internal action runtime budget so long browser/bootstrap/crawl work fails inside the action before the platform aborts it.
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<!-- SECTION:DESCRIPTION:END -->
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## Acceptance Criteria
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<!-- AC:BEGIN -->
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- [x] #1 Website enrichment has an action-level runtime budget below the Convex runtime abort window
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- [x] #2 Long Chromium bootstrap, browser launch, crawl, link checks, and screenshots are bounded by remaining action time
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- [x] #3 When the runtime budget is exceeded, the existing catch path finalizes the enrichment run and queues PageSpeed for the lead
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- [x] #4 Regression tests cover the runtime budget guard and full verification passes
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<!-- AC:END -->
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## Implementation Plan
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<!-- SECTION:PLAN:BEGIN -->
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1. Add RED source regression for action runtime budget and bounded browser/crawl steps
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2. Implement minimal runtime budget helper in websiteEnrichmentAction
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3. Run tests/type/lint and deploy Convex dev
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4. Record findings and leave task open pending manual retest
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<!-- SECTION:PLAN:END -->
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## Implementation Notes
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<!-- SECTION:NOTES:BEGIN -->
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2026-06-05: Investigation found latest website_enrichment run was manually set to failed, but Convex logs show the underlying action ended with "Transient error while executing action" and environment "invalid" before app-level catch/finalization ran. This explains missing finishedAt/errorSummary/PageSpeed follow-up.
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2026-06-05: Implemented action-level budget guard (default 120s, TASK8_ACTION_BUDGET_MS override) around Playwright import, Chromium executable resolution, AL2023 library preparation, browser launch/context creation, page crawls, internal link checks, and desktop/mobile screenshots so long work rejects inside the action catch path before Convex invalidates the runtime. Verified with targeted website-enrichment action tests, full pnpm test, TypeScript, lint, and Convex dev typecheck/deploy.
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<!-- SECTION:NOTES:END -->
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@@ -0,0 +1,50 @@
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---
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id: TASK-26
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title: Finalize audit generation hardening and catch-all failure handling
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status: Done
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assignee: []
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created_date: '2026-06-05 08:37'
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updated_date: '2026-06-05 09:04'
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labels: []
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dependencies: []
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priority: high
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ordinal: 28000
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---
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## Description
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<!-- SECTION:DESCRIPTION:BEGIN -->
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Implement P1/P2/P3 audit-generation code-quality fixes with regression-safe behavior.
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<!-- SECTION:DESCRIPTION:END -->
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## Acceptance Criteria
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<!-- AC:BEGIN -->
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- [x] #1 processAuditGeneration catches all late failures and marks run failed
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- [x] #2 outreach_ready patch is guarded by terminal contact status
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- [x] #3 truncateWithMarker is byte-safe and source tests cover byte behavior
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- [x] #4 action/persistence sanitizer masks env-backed secret values
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- [x] #5 model profile flags are used for model params and supportsImages
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- [x] #6 reachability to deterministic outreach upsert behaviour for empty values
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<!-- AC:END -->
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## Implementation Plan
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<!-- SECTION:PLAN:BEGIN -->
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1. Add source-level regression tests for P1/P2/P3 points
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2. Implement action-level robust failure handling and guarded lead status transition
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3. Fix byte-aware truncation and shared sanitization paths in action/persistence
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4. Rework model-profile driven generation config and multimodal gating
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5. Add deterministic outreach upsert behavior and run full checks
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<!-- SECTION:PLAN:END -->
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## Implementation Notes
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<!-- SECTION:NOTES:BEGIN -->
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Verified as TASK-11 final hardening follow-up. Fixed action-level catch/failure finish, terminal-status guard for outreach_ready, UTF-8 byte-safe truncation, env-backed secret redaction, model-profile params/supportsImages usage, and deterministic outreach upsert for explicit empty values. Verification passed with TASK-11 final checks; task remains In Progress pending user confirmation.
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<!-- SECTION:NOTES:END -->
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## Final Summary
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<!-- SECTION:FINAL_SUMMARY:BEGIN -->
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Shipped final audit-generation hardening: catch-all post-start failure handling, terminal lead-status guard, byte-safe truncation, env-backed secret redaction, model-profile driven parameters/supportsImages, and deterministic outreach upsert behavior. Verified together with TASK-11 final checks.
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<!-- SECTION:FINAL_SUMMARY:END -->
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