import os, json, httpx from fastapi import FastAPI, HTTPException from pydantic import BaseModel AGENT_URL = os.getenv("AGENT_URL", "http://ai-agent:8080") OPENAI_MODEL = os.getenv("OPENAI_MODEL", "gpt-4o-mini") def _read_api_key(): # Prefer Docker secret if available path = os.getenv("OPENAI_API_KEY_FILE", "/run/secrets/openai_api_key") if os.path.exists(path): return open(path, "r").read().strip() return os.getenv("OPENAI_API_KEY", "") SYSTEM_PROMPT = ( "You are an ops command planner. Convert the user's intent into a STRICT JSON object " "with fields: action (scale|restart_service), params (dict). No prose. Examples: " '{"action":"scale","params":{"service":"weblabs_php","replicas":3}} ' 'or {"action":"restart_service","params":{"service":"weblabs_php"}}. ' "Only produce valid JSON." ) class ChatIn(BaseModel): prompt: str app = FastAPI(title="AI Relay (LLM -> Agent)") @app.get("/health") def health(): return {"ok": True} @app.post("/chat") async def chat(inp: ChatIn): api_key = _read_api_key() if not api_key: raise HTTPException(500, "Missing OPENAI_API_KEY (env or secret).") url = "https://api.openai.com/v1/chat/completions" headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"} body = { "model": OPENAI_MODEL, "response_format": {"type": "json_object"}, "temperature": 0.1, "messages": [ {"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": inp.prompt}, ], } async with httpx.AsyncClient(timeout=30) as client: r = await client.post(url, headers=headers, json=body) if r.status_code >= 400: raise HTTPException(502, f"OpenAI error: {r.text}") data = r.json() try: content = data["choices"][0]["message"]["content"] cmd = json.loads(content) except Exception as e: raise HTTPException(500, f"Failed to parse model JSON: {e}; raw={str(data)[:300]}") # Forward to the agent async with httpx.AsyncClient(timeout=15) as client: r = await client.post(f"{AGENT_URL}/command", json=cmd) if r.status_code >= 400: raise HTTPException(r.status_code, f"Agent error: {r.text}") return r.json()