Gemini 原生格式

curl -X POST https://api.qingbo.ai/v1beta/models/gemini-3.6-flash:generateContent \
  -H "x-goog-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [
          {"text": "解释一下冒泡排序算法。"}
        ]
      }
    ],
    "generationConfig": {
      "temperature": 0.7,
      "maxOutputTokens": 1024
    }
  }'

import google.generativeai as genai

genai.configure(
    api_key="YOUR_API_KEY",
    transport="rest",
    client_options={"api_endpoint": "https://api.qingbo.ai/v1beta"}
)

model = genai.GenerativeModel("gemini-3.6-flash")

response = model.generate_content(
    "解释一下冒泡排序算法。",
    generation_config={
        "temperature": 0.7,
        "max_output_tokens": 1024
    }
)

print(response.text)

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

const genAI = new GoogleGenerativeAI('YOUR_API_KEY');
const model = genAI.getGenerativeModel({
  model: 'gemini-3.6-flash',
  baseUrl: 'https://api.qingbo.ai/v1beta'
});

const result = await model.generateContent({
  contents: [{
    role: 'user',
    parts: [{ text: '解释一下冒泡排序算法。' }]
  }],
  generationConfig: {
    temperature: 0.7,
    maxOutputTokens: 1024
  }
});

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

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    payload := map[string]interface{}{
        "contents": []map[string]interface{}{
            {
                "role": "user",
                "parts": []map[string]string{
                    {"text": "解释一下冒泡排序算法。"},
                },
            },
        },
        "generationConfig": map[string]interface{}{
            "temperature":    0.7,
            "maxOutputTokens": 1024,
        },
    }

    body, _ := json.Marshal(payload)
    url := "https://api.qingbo.ai/v1beta/models/gemini-3.6-flash:generateContent"
    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(body))
    req.Header.Set("x-goog-api-key", "YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    resp, err := http.DefaultClient.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    result, _ := io.ReadAll(resp.Body)
    fmt.Println(string(result))
}

import java.net.http.*;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
        {
          "contents": [
            {
              "role": "user",
              "parts": [{"text": "解释一下冒泡排序算法。"}]
            }
          ],
          "generationConfig": {
            "temperature": 0.7,
            "maxOutputTokens": 1024
          }
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.qingbo.ai/v1beta/models/gemini-3.6-flash:generateContent"))
            .header("x-goog-api-key", "YOUR_API_KEY")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}