Fix build context, port conflict, and improve proxy/health-check logic
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@ -3,9 +3,9 @@ version: '3.8'
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services:
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# The Intelligence Router
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router:
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build: ./intelligence-router
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build: .
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ports:
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- "9000:9000"
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- "9001:9000"
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environment:
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- MAIN_PC_URL=http://10.0.4.11:8080/v1
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- LOCAL_SLM_URL=http://10.0.4.200:8080/v1
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30
main.py
30
main.py
@ -10,21 +10,28 @@ load_dotenv()
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app = FastAPI()
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# Configuration from environment variables
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MAIN_PC_URL = os.getenv("MAIN_PC_URL", "http://10.0.4.x:8080/v1")
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LOCAL_SLM_URL = os.getenv("LOCAL_SLM_URL", "http://llama-slm:8080/v1")
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OPENAI_URL = "https://api.openai.com/v1"
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# We use removesuffix to ensure we have the base URL without the /v1 part,
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# as the incoming path already includes 'v1/...' (e.g. /v1/chat/completions)
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MAIN_PC_BASE = os.getenv("MAIN_PC_URL", "http://10.0.4.x:8080/v1").removesuffix("/v1")
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LOCAL_SLM_BASE = os.getenv("LOCAL_SLM_URL", "http://llama-slm:8080/v1").removesuffix("/v1")
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OPENAI_BASE = "https://api.openai.com"
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "")
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# Health check endpoint for the Main PC
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async def check_main_pc_health():
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try:
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# We check a simple endpoint or just attempt a connection to the base URL
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# We check the /v1/models endpoint
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async with httpx.AsyncClient(timeout=2.0) as client:
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response = await client.get(f"{MAIN_PC_URL}/models")
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response = await client.get(f"{MAIN_PC_BASE}/v1/models")
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return response.status_code == 200
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except Exception:
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return False
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@app.get("/health")
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async def health():
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"""Local router health check."""
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return {"status": "router_online"}
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@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
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async def proxy(
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request: Request,
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@ -37,17 +44,18 @@ async def proxy(
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target_url = None
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# 1. Check for "Turbo" (High Intelligence) request
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# Note: OPENAI_API_KEY must be set in environment
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if x_intelligence_level == "High" and OPENAI_API_KEY:
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target_url = f"{OPENAI_URL}/{path}"
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target_url = f"{OPENAI_BASE}/{path}"
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# 2. Try Primary (Main PC)
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else:
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is_main_pc_online = await check_main_pc_health()
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if is_main_pc_online:
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target_url = f"{MAIN_PC_URL}/{path}"
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target_url = f"{MAIN_PC_BASE}/{path}"
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else:
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# 3. Fallback to Local SLM (on Docker host)
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target_url = f"{LOCAL_SLM_URL}/{path}"
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target_url = f"{LOCAL_SLM_BASE}/{path}"
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if not target_url:
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return Response(content="No valid target available (Main PC offline, SLM unavailable, and no OpenAI key)", status_code=503)
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@ -77,7 +85,7 @@ async def proxy(
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# Handle streaming responses (essential for LLM)
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accept_header = request.headers.get("accept", "")
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if "text/event-stream" in accept_header or "application/x-ndjson" in accept_header:
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return StreamingResponse(stream_generator(), status_code=200, background=None)
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return StreamingResponse(stream_generator(), status_code=200)
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# For non-streaming, we'll just use a simple proxy logic
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async with httpx.AsyncClient(timeout=60.0) as client:
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@ -95,7 +103,3 @@ async def proxy(
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)
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except Exception as e:
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return Response(content=str(e), status_code=500)
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@app.get("/health")
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async def health():
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return {"status": "router_online"}
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