Gemini 3.8 Flash

curl --request POST \
  --url https://api.matterai.so/v1/chat/completions \
  --header 'Content-Type: application/json' \
  --header 'Authorization: Bearer $MATTERAI_API_KEY' \
  --data '{
  "model": "gemini-3.8-flash",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "What is Rust?"
    }
  ],
  "stream": false,
  "max_tokens": 1000
}'

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: process.env.MATTERAI_API_KEY,
  baseURL: "https://api.matterai.so/v1",
});

async function main() {
  const response = await openai.chat.completions.create({
    model: "gemini-3.8-flash",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "What is Rust?" },
    ],
    stream: false,
    max_tokens: 1000,
  });

  console.log(response.choices[0].message.content);
}

main();

from openai import OpenAI

client = OpenAI(
  api_key=os.environ.get("MATTERAI_API_KEY"),
  base_url="https://api.matterai.so/v1"
)

response = client.chat.completions.create(
  model="gemini-3.8-flash",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "What is Rust?"}
  ],
  stream=False,
  max_tokens=1000
)

print(response.choices[0].message.content)