2 commits

Author	SHA1	Message	Date
DJP	5e0a148b96	feat: add token usage tracking, feedback highlighting, cost on cards, help page ... - Wire token usage from LLM agents through pipeline context to DB and frontend - Agents 2 and 4 accumulate input/output tokens and cost into PipelineContext - job_tasks.py saves token totals to locale instance after pipeline completion - Monitoring cards show total tokens and estimated cost instead of broken 0/0 - Make feedback highlighting bolder: colored card borders, stronger button states - Add estimated cost display to dashboard job cards - Add Help page with full documentation and link in sidebar navigation - Comprehensive README with ASCII architecture diagrams Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-10 16:47:36 -04:00
DJP	98fa16bfc3	feat: complete Phase 1-2 scaffold — backend, frontend, pipeline skeleton ... Full-stack Amazon AI Transcreation Platform with: - FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables - JWT auth (SSO-ready abstract provider pattern) - 6-agent pipeline orchestrator with deterministic modules - Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme) - Job wizard, monitoring HUD, output review, admin screens - 154 TM/reference files imported, 12 locales configured - Docker Compose for all services Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs pending Phase 3 LLM integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-04-10 12:31:43 -04:00