- Pyproject.toml mit FastAPI, Pydantic v2, SQLAlchemy, httpx, asyncio, BeautifulSoup4, selectolax, trafilatura, uvicorn, pytest-asyncio - Multi-stage Dockerfile (Python 3.12-slim, Non-Root-User nsct) - docker-compose.yml (nsct-api + postgres + optional searxng) - .env.example mit allen Config-Parametern - Config-System: AppSettings mit LLMConfig, VisionConfig, AudioConfig, DatabaseConfig — komplett aus Environment, keine Hardcodes - Strukturiertes Logging mit research_id/llm_request_id Tracking - Pydantic v2 Schemas: SearchQuery, Source, Claim, EvidenceRelation, CitationEdge, ResearchReport - SQLAlchemy 2.0 Declarative Models + async Engine Factory - SSRF-Schutz: URL-Validation, IP-Blocklist (RFC1918, Cloud Metadata, file://, ftp://) - Provider-Interfaces: LLMProvider, VisionProvider, AudioProvider, SearchProvider, ContentFetcher als ABCs - Health-Endpoints: /health, /ready (LLM-Connect-Test), /providers - FastAPI App mit CORS, lifespan (LLM Pre-Flight) - CLI-Stub mit Entry-Points: nsct, nsct-core, nsct-api - 6 Test-Cases: /health, /ready, /providers + No-Secrets-Test - Vollständige Dokumentation: README, ARCHITECTURE, SECURITY, METHODOLOGY, API, DEPLOYMENT - .gitignore (Python, Docker, IDE, .env)
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2.5 KiB