跳转到主要内容
POST
/
v1beta
/
models
/
{model}
:generateContent
Gemini generateContent
curl --request POST \
  --url https://api-vip.apigo.ai/v1beta/models/{model}:generateContent \
  --header 'Content-Type: application/json' \
  --header 'x-goog-api-key: <api-key>' \
  --data '
{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "请总结这段内容"
        }
      ]
    }
  ]
}
'
import requests

url = "https://api-vip.apigo.ai/v1beta/models/{model}:generateContent"

payload = { "contents": [
{
"role": "user",
"parts": [{ "text": "请总结这段内容" }]
}
] }
headers = {
"x-goog-api-key": "<api-key>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {'x-goog-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({contents: [{role: 'user', parts: [{text: '请总结这段内容'}]}]})
};

fetch('https://api-vip.apigo.ai/v1beta/models/{model}:generateContent', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://api-vip.apigo.ai/v1beta/models/{model}:generateContent",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'contents' => [
[
'role' => 'user',
'parts' => [
[
'text' => '请总结这段内容'
]
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-goog-api-key: <api-key>"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://api-vip.apigo.ai/v1beta/models/{model}:generateContent"

payload := strings.NewReader("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"请总结这段内容\"\n }\n ]\n }\n ]\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("x-goog-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")
.header("x-goog-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"请总结这段内容\"\n }\n ]\n }\n ]\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api-vip.apigo.ai/v1beta/models/{model}:generateContent")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-goog-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"role\": \"user\",\n \"parts\": [\n {\n \"text\": \"请总结这段内容\"\n }\n ]\n }\n ]\n}"

response = http.request(request)
puts response.read_body
{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {
            "text": "这里是总结结果。"
          }
        ]
      },
      "finishReason": "STOP"
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 24,
    "candidatesTokenCount": 36,
    "totalTokenCount": 60
  }
}
{
"error": 123,
"message": "<string>"
}
Gemini 官方文档把图片理解、图片生成和图片编辑都建立在 generateContent 这一套接口之上。
  • 图片可以通过 inlineData 直接内联传入,也可以先上传到 Files API 再引用
  • 官方文档把小文件直接内联作为常见方案,更大或需要复用的图片更适合 Files API
  • 适合图文问答、OCR 辅助、界面理解和视觉分析
  • 原生生图和图像编辑仍走这个接口
  • 文本结果和图片结果都在 candidates[].content.parts[] 中,图片通常以 inlineData 返回
  • 官方文档说明生成图片会带 SynthID 水印,因此产物链路要提前考虑这一点

授权

x-goog-api-key
string
header
必填

路径参数

model
string
必填

Gemini model name.

示例:

"gemini-2.5-pro"

请求体

application/json
contents
object[]
必填
systemInstruction
object
generationConfig
object
safetySettings
object[]
tools
object[]

响应

Successful Gemini content response

candidates
object[]
usageMetadata
object