跳转到主要内容
POST
https://api.aisa.one/v1
/
messages
创建消息
curl --request POST \
  --url https://api.aisa.one/v1/messages \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Hello, Claude"
    }
  ],
  "system": "<string>",
  "temperature": 1,
  "top_p": 123,
  "top_k": 123,
  "stop_sequences": [
    "<string>"
  ],
  "stream": false,
  "tools": [
    {
      "name": "<string>",
      "input_schema": {},
      "description": "<string>",
      "type": "custom"
    }
  ],
  "tool_choice": {
    "name": "<string>",
    "disable_parallel_tool_use": false
  },
  "thinking": {
    "type": "enabled",
    "budget_tokens": 10000
  },
  "metadata": {
    "user_id": "<string>"
  },
  "service_tier": "auto"
}
'
import requests

url = "https://api.aisa.one/v1/messages"

payload = {
"model": "claude-sonnet-4-6",
"max_tokens": 1024,
"messages": [
{
"role": "user",
"content": "Hello, Claude"
}
],
"system": "<string>",
"temperature": 1,
"top_p": 123,
"top_k": 123,
"stop_sequences": ["<string>"],
"stream": False,
"tools": [
{
"name": "<string>",
"input_schema": {},
"description": "<string>",
"type": "custom"
}
],
"tool_choice": {
"name": "<string>",
"disable_parallel_tool_use": False
},
"thinking": {
"type": "enabled",
"budget_tokens": 10000
},
"metadata": { "user_id": "<string>" },
"service_tier": "auto"
}
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({
model: 'claude-sonnet-4-6',
max_tokens: 1024,
messages: [{role: 'user', content: 'Hello, Claude'}],
system: '<string>',
temperature: 1,
top_p: 123,
top_k: 123,
stop_sequences: ['<string>'],
stream: false,
tools: [{name: '<string>', input_schema: {}, description: '<string>', type: 'custom'}],
tool_choice: {name: '<string>', disable_parallel_tool_use: false},
thinking: {type: 'enabled', budget_tokens: 10000},
metadata: {user_id: '<string>'},
service_tier: 'auto'
})
};

fetch('https://api.aisa.one/v1/messages', 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.aisa.one/v1/messages",
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([
'model' => 'claude-sonnet-4-6',
'max_tokens' => 1024,
'messages' => [
[
'role' => 'user',
'content' => 'Hello, Claude'
]
],
'system' => '<string>',
'temperature' => 1,
'top_p' => 123,
'top_k' => 123,
'stop_sequences' => [
'<string>'
],
'stream' => false,
'tools' => [
[
'name' => '<string>',
'input_schema' => [

],
'description' => '<string>',
'type' => 'custom'
]
],
'tool_choice' => [
'name' => '<string>',
'disable_parallel_tool_use' => false
],
'thinking' => [
'type' => 'enabled',
'budget_tokens' => 10000
],
'metadata' => [
'user_id' => '<string>'
],
'service_tier' => 'auto'
]),
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.aisa.one/v1/messages"

payload := strings.NewReader("{\n \"model\": \"claude-sonnet-4-6\",\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello, Claude\"\n }\n ],\n \"system\": \"<string>\",\n \"temperature\": 1,\n \"top_p\": 123,\n \"top_k\": 123,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"stream\": false,\n \"tools\": [\n {\n \"name\": \"<string>\",\n \"input_schema\": {},\n \"description\": \"<string>\",\n \"type\": \"custom\"\n }\n ],\n \"tool_choice\": {\n \"name\": \"<string>\",\n \"disable_parallel_tool_use\": false\n },\n \"thinking\": {\n \"type\": \"enabled\",\n \"budget_tokens\": 10000\n },\n \"metadata\": {\n \"user_id\": \"<string>\"\n },\n \"service_tier\": \"auto\"\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.aisa.one/v1/messages")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"claude-sonnet-4-6\",\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello, Claude\"\n }\n ],\n \"system\": \"<string>\",\n \"temperature\": 1,\n \"top_p\": 123,\n \"top_k\": 123,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"stream\": false,\n \"tools\": [\n {\n \"name\": \"<string>\",\n \"input_schema\": {},\n \"description\": \"<string>\",\n \"type\": \"custom\"\n }\n ],\n \"tool_choice\": {\n \"name\": \"<string>\",\n \"disable_parallel_tool_use\": false\n },\n \"thinking\": {\n \"type\": \"enabled\",\n \"budget_tokens\": 10000\n },\n \"metadata\": {\n \"user_id\": \"<string>\"\n },\n \"service_tier\": \"auto\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/v1/messages")

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 \"model\": \"claude-sonnet-4-6\",\n \"max_tokens\": 1024,\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello, Claude\"\n }\n ],\n \"system\": \"<string>\",\n \"temperature\": 1,\n \"top_p\": 123,\n \"top_k\": 123,\n \"stop_sequences\": [\n \"<string>\"\n ],\n \"stream\": false,\n \"tools\": [\n {\n \"name\": \"<string>\",\n \"input_schema\": {},\n \"description\": \"<string>\",\n \"type\": \"custom\"\n }\n ],\n \"tool_choice\": {\n \"name\": \"<string>\",\n \"disable_parallel_tool_use\": false\n },\n \"thinking\": {\n \"type\": \"enabled\",\n \"budget_tokens\": 10000\n },\n \"metadata\": {\n \"user_id\": \"<string>\"\n },\n \"service_tier\": \"auto\"\n}"

response = http.request(request)
puts response.read_body
{
  "id": "msg_024e7cf42f5d47cfa6982b5ff8b55642",
  "type": "message",
  "role": "assistant",
  "content": [
    {}
  ],
  "model": "claude-sonnet-4-6",
  "stop_sequence": "<string>",
  "usage": {
    "input_tokens": 123,
    "output_tokens": 123,
    "cache_creation_input_tokens": 123,
    "cache_read_input_tokens": 123
  }
}
使用与 Anthropic 兼容的 Messages API 创建 Claude 模型响应。此端点与 Anthropic /v1/messages 规范保持一致,并通过位于 https://api.aisa.one/v1/messages 的 AIsa 网关路由。 如果希望使用 Anthropic 原生请求格式调用 Claude 模型(claude-opus-4-7claude-sonnet-4-6claude-haiku-4-5-20251001 等),包括扩展思考、工具使用和提示词缓存,请使用此端点。如果您更倾向于 OpenAI 风格的聊天补全,也可以通过 OpenAI Chat 端点使用相同的 Claude 模型。 身份验证使用您的 AIsa API 密钥作为 Bearer token。有关支持的完整 Claude 变体列表和上下文窗口,请参阅模型目录;有关按词元计费的费率,请参阅定价

授权

Authorization
string
header
必填

您的 AIsa API 密钥,作为 Bearer token 提供。

请求体

application/json
model
string
必填

Claude 模型标识符。示例:claude-opus-4-7、claude-sonnet-4-6、claude-haiku-4-5-20251001。

示例:

"claude-sonnet-4-6"

max_tokens
integer
必填

停止前可生成的最大词元数。

示例:

1024

messages
object[]
必填

对话轮次。

示例:
[
{
"role": "user",
"content": "Hello, Claude"
}
]
system

系统提示词。字符串或文本块数组。

temperature
number<float>
默认值:1

随机性。0 = 确定性,1 = 创造性。

必填范围: 0 <= x <= 1
top_p
number<float>

核采样。用于替代 temperature。

top_k
integer

每个词元仅从概率最高的 K 个选项中采样。

stop_sequences
string[]

用于停止生成的自定义序列。

stream
boolean
默认值:false

启用 SSE 流式传输。

tools
object[]

模型可使用的工具。

tool_choice
object

模型使用工具的方式。

thinking
object

为复杂推理启用扩展思考。

metadata
object
service_tier
enum<string>
默认值:auto
可用选项:
auto,
standard_only

响应

成功响应

id
string
示例:

"msg_024e7cf42f5d47cfa6982b5ff8b55642"

type
string
示例:

"message"

role
string
示例:

"assistant"

content
object[]

响应内容块(text、tool_use、thinking 等)。

model
string
示例:

"claude-sonnet-4-6"

stop_reason
enum<string>
可用选项:
end_turn,
stop_sequence,
max_tokens,
tool_use
stop_sequence
string | null
usage
object