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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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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.venv/
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venv/
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ENV/
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env/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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*~
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# Testing
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.tox/
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.nox/
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.coverage
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.coverage.*
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htmlcov/
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.pytest_cache/
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.hypothesis/
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# MyPy / Type checking
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Environment variables
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.env
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.env.local
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.env.*.local
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*.env
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# Logs
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*.log
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logs/
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# OS
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.DS_Store
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Thumbs.db
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# Project specific
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*.db
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*.sqlite3
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