Stage 0: Repository und Architekturgrundlage
- 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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