21a844cb8a
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>
86 lines
2.3 KiB
Python
86 lines
2.3 KiB
Python
"""
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BreakPilot LLM Gateway - Main Application
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OpenAI-kompatibles API Gateway für Self-hosted LLMs.
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"""
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import logging
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from .config import get_config
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from .routes import chat_router, playbooks_router, health_router, comparison_router, edu_search_seeds_router, communication_router
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from .services.inference import get_inference_service
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# Logging Setup
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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)
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logger = logging.getLogger(__name__)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Lifecycle Management für den Gateway."""
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logger.info("Starting LLM Gateway...")
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config = get_config()
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logger.info(f"Debug mode: {config.debug}")
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logger.info(f"Backends configured: ollama={bool(config.ollama)}, vllm={bool(config.vllm)}, anthropic={bool(config.anthropic)}")
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yield
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# Cleanup
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logger.info("Shutting down LLM Gateway...")
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inference_service = get_inference_service()
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await inference_service.close()
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def create_app() -> FastAPI:
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"""Factory Function für die FastAPI App."""
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config = get_config()
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app = FastAPI(
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title="BreakPilot LLM Gateway",
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description="OpenAI-kompatibles API Gateway für Self-hosted LLMs",
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version="0.1.0",
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lifespan=lifespan,
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docs_url="/docs" if config.debug else None,
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redoc_url="/redoc" if config.debug else None,
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)
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# CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # In Produktion einschränken
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Routes
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app.include_router(health_router)
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app.include_router(chat_router, prefix="/v1")
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app.include_router(playbooks_router)
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app.include_router(comparison_router, prefix="/v1")
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app.include_router(edu_search_seeds_router, prefix="/v1")
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app.include_router(communication_router, prefix="/v1")
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return app
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# App Instance für uvicorn
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app = create_app()
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if __name__ == "__main__":
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import uvicorn
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config = get_config()
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uvicorn.run(
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"llm_gateway.main:app",
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host=config.host,
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port=config.port,
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reload=config.debug,
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)
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