Integrations

Since Norlen follows the OpenAI standard, most AI frameworks work by pointing the base URL and key at us. Below are the most common ones.

LangChain

Python
JS/TS

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="qwen3.6-35b",
    base_url="https://api.norlen.io/v1",
    api_key="seu-token",
)
print(llm.invoke("Summarize what an API is.").content)

import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({
  model: "qwen3.6-35b",
  configuration: { baseURL: "https://api.norlen.io/v1" },
  apiKey: process.env.NORLEN_API_KEY,
});
console.log((await llm.invoke("Summarize what an API is.")).content);

For embeddings in LangChain, use OpenAIEmbeddings with model="qwen3-embedding" and the same base_url.

LlamaIndex

from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    model="qwen3.6-35b",
    api_base="https://api.norlen.io/v1",
    api_key="seu-token",
    is_chat_model=True,
)
print(llm.complete("What is RAG?"))

Vercel AI SDK

import { createOpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";

const norlen = createOpenAI({
  baseURL: "https://api.norlen.io/v1",
  apiKey: process.env.NORLEN_API_KEY,
});

const { text } = await generateText({
  model: norlen("qwen3.6-35b"),
  prompt: "Write a short greeting.",
});
console.log(text);