gemini-3.5-flash

curl https://runapi.ai/v1beta/models/gemini-3.5-flash:streamGenerateContent \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gemini-3.5-flash",
  "contents": [
    {
      "parts": [
        {
          "text": "分析這個程式碼庫，提出三項效能改善建議，並附上修改前後的範例。"
        }
      ]
    }
  ]
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="gemini-3.5-flash",
    messages=[{"role": "user", "content": "分析這個程式碼庫，提出三項效能改善建議，並附上修改前後的範例。"}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "gemini-3.5-flash",
  messages: [{ role: "user", content: "分析這個程式碼庫，提出三項效能改善建議，並附上修改前後的範例。" }]
});