curl -X POST "https://api.uniterouter.ai/v1beta/models/gemini-2.0-flash-thinking-exp:generateContent" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $UNITEROUTER_API_KEY" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "解答：一列火车以60公里/小时的速度行驶2.5小时，然后以80公里/小时的速度行驶1.5小时，整个旅程的平均速度是多少？"}]
      }
    ],
    "generationConfig": {
      "thinkingConfig": {
        "includeThoughts": true,
        "thinkingBudget": 2048,
        "thinkingLevel": "HIGH"
      }
    }
  }'

import google.generativeai as genai

genai.configure(
    api_key="your_uniterouter_api_key",
    transport="rest",
    client_options={"api_endpoint": "api.uniterouter.ai"}
)

model = genai.GenerativeModel("gemini-2.0-flash-thinking-exp")

response = model.generate_content(
    "解答：一列火车以60公里/小时的速度行驶2.5小时，然后以80公里/小时的速度行驶1.5小时，整个旅程的平均速度是多少？",
    generation_config={
        "thinkingConfig": {
            "includeThoughts": True,
            "thinkingBudget": 2048,
            "thinkingLevel": "HIGH"
        }
    }
)

# 访问思考过程和响应
for part in response.candidates[0].content.parts:
    if hasattr(part, 'thought') and part.thought:
        print("思考过程:", part.text)
    else:
        print("答案:", part.text)

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI("your_uniterouter_api_key", {
  baseUrl: "https://api.uniterouter.ai"
});

const model = genAI.getGenerativeModel({
  model: "gemini-2.0-flash-thinking-exp",
  generationConfig: {
    thinkingConfig: {
      includeThoughts: true,
      thinkingBudget: 2048,
      thinkingLevel: "HIGH"
    }
  }
});

const result = await model.generateContent(
  "解答：一列火车以60公里/小时的速度行驶2.5小时，然后以80公里/小时的速度行驶1.5小时，整个旅程的平均速度是多少？"
);

console.log(result.response.text());