Gemini 原生格式
curl --request POST \
--url https://api.gregapi.com/v1beta/models/{model}:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"parts": [
{
"text": "你好"
}
]
}
]
}
'import requests
url = "https://api.gregapi.com/v1beta/models/{model}:generateContent"
payload = { "contents": [{ "parts": [{ "text": "你好" }] }] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({contents: [{parts: [{text: '你好'}]}]})
};
fetch('https://api.gregapi.com/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.gregapi.com/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' => [
[
'parts' => [
[
'text' => '你好'
]
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.gregapi.com/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.gregapi.com/v1beta/models/{model}:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gregapi.com/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}"
response = http.request(request)
puts response.read_body大语言模型(LLM)
Gemini 原生格式
使用 Gemini 原生接口(generateContent / streamGenerateContent)进行对话与多模态交互。
POST
/
v1beta
/
models
/
{model}
:generateContent
Gemini 原生格式
curl --request POST \
--url https://api.gregapi.com/v1beta/models/{model}:generateContent \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"contents": [
{
"parts": [
{
"text": "你好"
}
]
}
]
}
'import requests
url = "https://api.gregapi.com/v1beta/models/{model}:generateContent"
payload = { "contents": [{ "parts": [{ "text": "你好" }] }] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({contents: [{parts: [{text: '你好'}]}]})
};
fetch('https://api.gregapi.com/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.gregapi.com/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' => [
[
'parts' => [
[
'text' => '你好'
]
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.gregapi.com/v1beta/models/{model}:generateContent"
payload := strings.NewReader("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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.gregapi.com/v1beta/models/{model}:generateContent")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gregapi.com/v1beta/models/{model}:generateContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": \"你好\"\n }\n ]\n }\n ]\n}"
response = http.request(request)
puts response.read_body接口
| 用途 | 路径 |
|---|---|
| 文本/多模态生成 | POST /v1beta/models/{model}:generateContent |
| 流式输出 | POST /v1beta/models/{model}:streamGenerateContent?alt=sse |
Authorization: Bearer <TOKEN> 鉴权,也支持 x-goog-api-key: <TOKEN>。
快速开始
curl -X POST "https://api.gregapi.com/v1beta/models/gemini-2.5-flash:generateContent" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"contents": [{"parts": [{"text": "你好"}]}]
}'
流式输出
curl -N "https://api.gregapi.com/v1beta/models/gemini-2.5-flash:streamGenerateContent?alt=sse" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"contents": [{"parts": [{"text": "写一首诗"}]}]
}'
多模态输入
原生接口通过contents[].parts[] 承载多模态内容:文本用 text,媒体用 inline_data(mime_type + Base64 data)。
音频理解
curl -X POST "https://api.gregapi.com/v1beta/models/gemini-2.5-flash:generateContent" \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"contents": [{
"parts": [
{"text": "转写这段音频"},
{"inline_data": {"mime_type": "audio/mp3", "data": "<BASE64>"}}
]
}]
}'
inline_data,mime_type 为 image/png、image/jpeg 等。gemini-3-pro-preview-file 模型支持通过 URL 直接分析视频文件,详细用法请参阅视频分析文档。
思考模式(Reasoning)
Gemini 2.5 和 3 系列支持思考推理能力,通过generationConfig.thinkingConfig 配置。
Gemini 3 系列使用 thinkingLevel:
{
"generationConfig": {
"thinkingConfig": {"thinkingLevel": "high"}
}
}
thinkingBudget:
{
"generationConfig": {
"thinkingConfig": {"thinkingBudget": 8192}
}
}
生成参数
| 参数 | 说明 | 默认值 |
|---|---|---|
temperature | 随机性,0-2 | 1.0 |
max_tokens | 最大输出 token 数 | 模型默认 |
top_p | 核采样概率 | 0.95 |
stop | 停止序列 | - |
temperature 为 1.0,过低可能导致推理性能下降。
SDK 示例(Python · Google SDK)
from google import genai
client = genai.Client(
api_key="your-token",
http_options={"base_url": "https://api.gregapi.com"},
)
response = client.models.generate_content(
model="gemini-2.5-flash",
contents="你好",
)
print(response.text)