feat: initial FastAPI boilerplate setup
Set up Webber - multi-agent AI development system with: - Domain-based project structure (src/domains/, src/shared/) - BaseController pattern with lazy router instantiation - Pydantic Settings configuration with env file support - Logger decorator with temporal benchmarking and trace IDs - UserProvider singleton for request-scoped context - Custom exception hierarchy - Health endpoints (/, /health) Dependencies (CVE checked 2026-01-09): - FastAPI 0.128.0, Starlette 0.50.0, Uvicorn 0.40.0 - Pydantic 2.12.4, PydanticAI 1.40.0 - All packages at latest safe versions Placeholder domains for future implementation: - agents/ (explore, plan, task) - tools/ (file, shell, search) - auth/ (tatlock integration) Port: 8086 (per CONTAINERS.md allocation) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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"""
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Root router - composes all domain routers.
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Import and include domain routers here.
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main.py only includes this root_router.
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"""
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from fastapi import APIRouter
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from src.domains.health.router import router as health_router
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# from src.domains.auth.router import router as auth_router
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# from src.domains.agents.router import router as agents_router
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# from src.domains.tools.router import router as tools_router
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root_router = APIRouter()
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# Health (no prefix - root level)
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root_router.include_router(health_router)
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# Auth domain
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# root_router.include_router(auth_router, prefix="/auth", tags=["Auth"])
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# Agents domain
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# root_router.include_router(agents_router, prefix="/agents", tags=["Agents"])
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# Tools domain
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# root_router.include_router(tools_router, prefix="/tools", tags=["Tools"])
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