视觉理解流式（Base64）
▼
Authorization
在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token
示例：
Authorization: Bearer ********************
请求参数
Header 参数
Content-Type
string
必需
示例: application/json
Authorization
string
必需
示例: Bearer $OPENAI_API_KEY
Body 参数 application/json
model
string
必需
要使用的模型的 ID，如 gpt-4o-mini。
messages
array [object]
必需
对话消息列表，支持包含 Base64 编码图片的多模态内容。
stream
boolean
可选
设置为 true 启用流式输出。
max_tokens
integer
可选
生成的最大标记数。
示例
{
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{"type": "text", "text": "这张图片里有什么?请详细描述。"},
{
"type": "image_url",
"image_url": {
"url": "data:image/png;base64,iVBORw0KGgo..."
}
}
]
}
],
"stream":true
}请求示例代码
curl --location --request POST 'https://api.quickrouter.ai/v1/chat/completions' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{"type": "text", "text": "这张图片里有什么?请详细描述。"},
{
"type": "image_url",
"image_url": {
"url": "data:image/png;base64,iVBORw0KGgo..."
}
}
]
}
],
"stream":true
}'var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer <token>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{
"type": "text",
"text": "这张图片里有什么?请详细描述。"
},
{
"type": "image_url",
"image_url": {
"url": "data:image/png;base64,iVBORw0KGgo..."
}
}
]
}
],
"stream": true
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.quickrouter.ai/v1/chat/completions", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));import http.client
import json
conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
"model": "gpt-4o-mini",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": [
{
"type": "text",
"text": "这张图片里有什么?请详细描述。"
},
{
"type": "image_url",
"image_url": {
"url": "data:image/png;base64,iVBORw0KGgo..."
}
}
]
}
],
"stream": True
})
headers = {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))返回响应
响应参数 🟢 200 OK · application/json
id
string
必需
object
string
必需
choices
array [object]
必需
usage
object
必需
示例
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"model": "gpt-4o-mini",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "图片中展示了..."
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 100,
"completion_tokens": 50,
"total_tokens": 150
}
}