amazon-transcreation/backend/app/api/v1/router.py
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

21 lines
846 B
Python

from fastapi import APIRouter
from app.auth.router import router as auth_router
from app.api.v1.jobs import router as jobs_router
from app.api.v1.users import router as users_router
from app.api.v1.clients import router as clients_router
from app.api.v1.files import router as files_router
from app.api.v1.output import router as output_router
from app.api.v1.reports import router as reports_router
from app.api.v1.audit import router as audit_router
api_v1_router = APIRouter(prefix="/api/v1")
api_v1_router.include_router(auth_router)
api_v1_router.include_router(jobs_router)
api_v1_router.include_router(users_router)
api_v1_router.include_router(clients_router)
api_v1_router.include_router(files_router)
api_v1_router.include_router(output_router)
api_v1_router.include_router(reports_router)
api_v1_router.include_router(audit_router)