fix: Restore all files lost during destructive rebase

A previous `git pull --rebase origin main` dropped 177 local commits,
losing 3400+ files across admin-v2, backend, studio-v2, website,
klausur-service, and many other services. The partial restore attempt
(660295e2) only recovered some files.

This commit restores all missing files from pre-rebase ref 98933f5e
while preserving post-rebase additions (night-scheduler, night-mode UI,
NightModeWidget dashboard integration).

Restored features include:
- AI Module Sidebar (FAB), OCR Labeling, OCR Compare
- GPU Dashboard, RAG Pipeline, Magic Help
- Klausur-Korrektur (8 files), Abitur-Archiv (5+ files)
- Companion, Zeugnisse-Crawler, Screen Flow
- Full backend, studio-v2, website, klausur-service
- All compliance SDKs, agent-core, voice-service
- CI/CD configs, documentation, scripts

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/llm_gateway/main.py

@@ -0,0 +1,85 @@
+"""
+BreakPilot LLM Gateway - Main Application
+
+OpenAI-kompatibles API Gateway für Self-hosted LLMs.
+"""
+
+import logging
+from contextlib import asynccontextmanager
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+
+from .config import get_config
+from .routes import chat_router, playbooks_router, health_router, comparison_router, edu_search_seeds_router, communication_router
+from .services.inference import get_inference_service
+
+# Logging Setup
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+)
+logger = logging.getLogger(__name__)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Lifecycle Management für den Gateway."""
+    logger.info("Starting LLM Gateway...")
+    config = get_config()
+    logger.info(f"Debug mode: {config.debug}")
+    logger.info(f"Backends configured: ollama={bool(config.ollama)}, vllm={bool(config.vllm)}, anthropic={bool(config.anthropic)}")
+
+    yield
+
+    # Cleanup
+    logger.info("Shutting down LLM Gateway...")
+    inference_service = get_inference_service()
+    await inference_service.close()
+
+
+def create_app() -> FastAPI:
+    """Factory Function für die FastAPI App."""
+    config = get_config()
+
+    app = FastAPI(
+        title="BreakPilot LLM Gateway",
+        description="OpenAI-kompatibles API Gateway für Self-hosted LLMs",
+        version="0.1.0",
+        lifespan=lifespan,
+        docs_url="/docs" if config.debug else None,
+        redoc_url="/redoc" if config.debug else None,
+    )
+
+    # CORS
+    app.add_middleware(
+        CORSMiddleware,
+        allow_origins=["*"],  # In Produktion einschränken
+        allow_credentials=True,
+        allow_methods=["*"],
+        allow_headers=["*"],
+    )
+
+    # Routes
+    app.include_router(health_router)
+    app.include_router(chat_router, prefix="/v1")
+    app.include_router(playbooks_router)
+    app.include_router(comparison_router, prefix="/v1")
+    app.include_router(edu_search_seeds_router, prefix="/v1")
+    app.include_router(communication_router, prefix="/v1")
+
+    return app
+
+
+# App Instance für uvicorn
+app = create_app()
+
+
+if __name__ == "__main__":
+    import uvicorn
+    config = get_config()
+    uvicorn.run(
+        "llm_gateway.main:app",
+        host=config.host,
+        port=config.port,
+        reload=config.debug,
+    )