from openai import OpenAI client = OpenAI( api_key="YOUR_KEY", base_url="https://makululinux.us:2007/v1" ) response = client.chat.completions.create( model="qwen/qwen3.5-122b-a10b", messages=[{"role": "user", "content": "Hello!"}] ) print(response.choices[0].message.content)

import OpenAI from "openai"; const client = new OpenAI({ apiKey: "YOUR_KEY", baseURL: "https://makululinux.us:2007/v1" }); const res = await client.chat.completions.create({ model: "qwen/qwen3.5-122b-a10b", messages: [{ role: "user", content: "Hello!" }] }); console.log(res.choices[0].message.content);

Settings → Connections → Add Connection Base URL : https://makululinux.us:2007/v1 API Key : YOUR_KEY Then select any Electra model from the model dropdown. Works with Continue.dev, LM Studio, and any OpenAI-compatible app.

curl -X POST https://makululinux.us:2007/v1/memory/retrieve \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_KEY" \ -d '{"conversation_id":"session-123","query":"Hello","max_results":4}'

curl -X DELETE https://makululinux.us:2007/v1/memory/clear \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_KEY" \ -d '{"conversation_id":"session-123"}'

import requests, uuid API = "https://makululinux.us:2007" KEY = "YOUR_KEY" CID = str(uuid.uuid4()) # unique session ID — reuse across turns def chat(msg): # Retrieve relevant past memories mems = requests.post(f"{API}/v1/memory/retrieve", headers={"Authorization": f"Bearer {KEY}"}, json={"conversation_id": CID, "query": msg, "max_results": 4} ).json().get("memories", []) context = "\n".join(mems) if mems else "" system = f"Past context:\n{context}" if context else "You are a helpful assistant." # Generate response with memory context resp = requests.post(f"{API}/v1/chat/completions", headers={"Authorization": f"Bearer {KEY}"}, json={"model": "qwen/qwen3.5-122b-a10b", "messages": [{"role":"system","content":system}, {"role":"user","content":msg}], "conversation_id": CID} ).json() reply = resp["choices"][0]["message"]["content"] # Store this turn requests.post(f"{API}/v1/memory/store", headers={"Authorization": f"Bearer {KEY}"}, json={"conversation_id": CID, "user_message": msg, "assistant_message": reply} ) return reply print(chat("My name is Alice"))