IteraCompute を通じて Vercel AI SDK でモデルを使用します。

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

if (!process.env.ITERACOMPUTE_API_KEY) {
  throw new Error("Set ITERACOMPUTE_API_KEY on the server.");
}
const itera = createOpenAICompatible({
  name: "iteracompute",
  baseURL: "https://api.iteracompute.com/v1",
  apiKey: process.env.ITERACOMPUTE_API_KEY,
});
const { text } = await generateText({
  model: itera("qwen/qwen3.8-27b"),
  prompt: "Reply with exactly: Hello!",
  maxOutputTokens: 512,
  providerOptions: { iteracompute: { chat_template_kwargs: { enable_thinking: false } } },
});
if (!text.trim()) throw new Error("Empty model reply: activation is incomplete.");
console.log(text);

# Bash / zsh / WSL; set ITERACOMPUTE_API_KEY in your environment first.
curl --fail-with-body https://api.iteracompute.com/v1/chat/completions \
  -H "Authorization: Bearer $ITERACOMPUTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-27b","messages":[{"role":"user","content":"Reply with exactly: Hello!"}],"max_tokens":512}'

export ITERACOMPUTE_API_KEY="your-api-key"

curl --fail-with-body --max-time 180 https://api.iteracompute.com/v1/chat/completions \
  -H "Authorization: Bearer $ITERACOMPUTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.8-27b","messages":[{"role":"user","content":"Reply with exactly: Hello!"}],"max_tokens":512,"chat_template_kwargs":{"enable_thinking":false}}' \
  -o response.json && python3 -c 'import json; r=json.load(open("response.json")); text=r["choices"][0]["message"]["content"]; assert text and text.strip(), "Empty model reply: activation is incomplete"; print(text)'

mkdir itera-ai-example
cd itera-ai-example
npm init -y
npm install ai@7.0.137 @ai-sdk/openai-compatible@3.0.67
export ITERACOMPUTE_API_KEY="your-api-key"
# Save the example above as example.mjs
node example.mjs

Hello!