Claude 消息接口

• 完全兼容 Claude Messages API 格式

• 支持多轮对话和单次查询

• 支持文本、图像等多模态内容

  curl https://aiboxapi.com/v1/messages \
    -H "x-api-key: $API_KEY" \
    -H "anthropic-version: 2025-10-01" \
    -H "content-type: application/json" \
    -d '{
      "model": "claude-sonnet-4-6",
      "max_tokens": 1024,
      "messages": [
        {"role": "user", "content": "你好，世界"}
      ]
    }'
  

  import anthropic
  
  client = anthropic.Anthropic(
      api_key="YOUR_API_KEY",
      base_url="https://aiboxapi.com"
  )
  
  message = client.messages.create(
      model="claude-sonnet-4-6",
      max_tokens=1024,
      messages=[
          {"role": "user", "content": "你好，世界"}
      ]
  )
  
  print(message.content)
  

  import Anthropic from '@anthropic-ai/sdk';
  
  const client = new Anthropic({
    apiKey: process.env.API_KEY,
    baseURL: 'https://aiboxapi.com'
  });
  
  const message = await client.messages.create({
    model: 'claude-sonnet-4-6',
    max_tokens: 1024,
    messages: [
      { role: 'user', content: '你好，世界' }
    ]
  });
  
  console.log(message.content);
  

  package main
  
  import (
      "bytes"
      "encoding/json"
      "fmt"
      "io/ioutil"
      "net/http"
      "os"
  )
  
  func main() {
      url := "https://aiboxapi.com/v1/messages"
  
      payload := map[string]interface{}{
          "model": "claude-sonnet-4-6",
          "max_tokens": 1024,
          "messages": []map[string]string{
              {
                  "role":    "user",
                  "content": "你好，世界",
              },
          },
      }
  
      jsonData, _ := json.Marshal(payload)
  
      req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
      req.Header.Set("x-api-key", os.Getenv("API_KEY"))
      req.Header.Set("anthropic-version", "2025-10-01")
      req.Header.Set("Content-Type", "application/json")
  
      client := &http.Client{}
      resp, err := client.Do(req)
      if err != nil {
          panic(err)
      }
      defer resp.Body.Close()
  
      body, _ := ioutil.ReadAll(resp.Body)
      fmt.Println(string(body))
  }
  

  import java.net.http.HttpClient;
  import java.net.http.HttpRequest;
  import java.net.http.HttpResponse;
  import java.net.URI;
  
  public class Main {
      public static void main(String[] args) throws Exception {
          String url = "https://aiboxapi.com/v1/messages";
          String apiKey = System.getenv("API_KEY");
  
          String payload = """
          {
            "model": "claude-sonnet-4-6",
            "max_tokens": 1024,
            "messages": [
              {
                "role": "user",
                "content": "你好，世界"
              }
            ]
          }
          """;
  
          HttpClient client = HttpClient.newHttpClient();
          HttpRequest request = HttpRequest.newBuilder()
              .uri(URI.create(url))
              .header("x-api-key", apiKey)
              .header("anthropic-version", "2025-10-01")
              .header("Content-Type", "application/json")
              .POST(HttpRequest.BodyPublishers.ofString(payload))
              .build();
  
          HttpResponse response = client.send(request,
              HttpResponse.BodyHandlers.ofString());
  
          System.out.println(response.body());
      }
  }
  

  <?php
  
  $url = "https://aiboxapi.com/v1/messages";
  $apiKey = getenv('API_KEY');
  
  $payload = [
      "model" => "claude-sonnet-4-6",
      "max_tokens" => 1024,
      "messages" => [
          [
              "role" => "user",
              "content" => "你好，世界"
          ]
      ]
  ];
  
  $ch = curl_init($url);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
  curl_setopt($ch, CURLOPT_POST, true);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
  curl_setopt($ch, CURLOPT_HTTPHEADER, [
      "x-api-key: " . $apiKey,
      "anthropic-version: 2025-10-01",
      "Content-Type: application/json"
  ]);
  
  $response = curl_exec($ch);
  curl_close($ch);
  
  echo $response;
  ?>
  

  require 'net/http'
  require 'json'
  require 'uri'
  
  url = URI("https://aiboxapi.com/v1/messages")
  api_key = ENV['API_KEY']
  
  payload = {
    model: "claude-sonnet-4-6",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: "你好，世界"
      }
    ]
  }
  
  http = Net::HTTP.new(url.host, url.port)
  http.use_ssl = true
  
  request = Net::HTTP::Post.new(url)
  request["x-api-key"] = api_key
  request["anthropic-version"] = "2025-10-01"
  request["Content-Type"] = "application/json"
  request.body = payload.to_json
  
  response = http.request(request)
  puts response.body
  

  import Foundation
  
  let url = URL(string: "https://aiboxapi.com/v1/messages")!
  let apiKey = ProcessInfo.processInfo.environment["API_KEY"] ?? ""
  
  let payload: [String: Any] = [
      "model": "claude-sonnet-4-6",
      "max_tokens": 1024,
      "messages": [
          [
              "role": "user",
              "content": "你好，世界"
          ]
      ]
  ]
  
  var request = URLRequest(url: url)
  request.httpMethod = "POST"
  request.setValue(apiKey, forHTTPHeaderField: "x-api-key")
  request.setValue("2025-10-01", forHTTPHeaderField: "anthropic-version")
  request.setValue("application/json", forHTTPHeaderField: "Content-Type")
  request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
  
  let task = URLSession.shared.dataTask(with: request) { data, response, error in
      if let error = error {
          print("Error: \(error)")
          return
      }
      
      if let data = data, let responseString = String(data: data, encoding: .utf8) {
          print(responseString)
      }
  }
  
  task.resume()
  

  using System;
  using System.Net.Http;
  using System.Text;
  using System.Threading.Tasks;
  
  class Program
  {
      static async Task Main(string[] args)
      {
          var url = "https://aiboxapi.com/v1/messages";
          var apiKey = Environment.GetEnvironmentVariable("API_KEY");
  
          var payload = @"{
              ""model"": ""claude-sonnet-4-6"",
              ""max_tokens"": 1024,
              ""messages"": [
                  {
                      ""role"": ""user"",
                      ""content"": ""你好，世界""
                  }
              ]
          }";
  
          using var client = new HttpClient();
          client.DefaultRequestHeaders.Add("x-api-key", apiKey);
          client.DefaultRequestHeaders.Add("anthropic-version", "2025-10-01");
  
          var content = new StringContent(payload, Encoding.UTF8, "application/json");
          var response = await client.PostAsync(url, content);
          var result = await response.Content.ReadAsStringAsync();
  
          Console.WriteLine(result);
      }
  }
  

  #include <stdio.h>
  #include <curl/curl.h>
  #include <stdlib.h>
  
  int main(void) {
      CURL *curl;
      CURLcode res;
      const char *api_key = getenv("API_KEY");
  
      curl_global_init(CURL_GLOBAL_DEFAULT);
      curl = curl_easy_init();
  
      if(curl) {
          const char *url = "https://aiboxapi.com/v1/messages";
          const char *payload = "{"
              "\"model\":\"claude-sonnet-4-6\","
              "\"max_tokens\":1024,"
              "\"messages\":[{\"role\":\"user\",\"content\":\"你好，世界\"}]"
          "}";
  
          char auth_header[256];
          snprintf(auth_header, sizeof(auth_header), "x-api-key: %s", api_key);
  
          struct curl_slist *headers = NULL;
          headers = curl_slist_append(headers, auth_header);
          headers = curl_slist_append(headers, "anthropic-version: 2025-10-01");
          headers = curl_slist_append(headers, "Content-Type: application/json");
  
          curl_easy_setopt(curl, CURLOPT_URL, url);
          curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
          curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
  
          res = curl_easy_perform(curl);
  
          if(res != CURLE_OK) {
              fprintf(stderr, "curl_easy_perform() failed: %s\n",
                      curl_easy_strerror(res));
          }
  
          curl_slist_free_all(headers);
          curl_easy_cleanup(curl);
      }
  
      curl_global_cleanup();
      return 0;
  }
  

  #import <Foundation/Foundation.h>
  
  int main(int argc, const char * argv[]) {
      @autoreleasepool {
          NSURL *url = [NSURL URLWithString:@"https://aiboxapi.com/v1/messages"];
          NSString *apiKey = [NSProcessInfo processInfo].environment[@"API_KEY"];
          
          NSDictionary *payload = @{
              @"model": @"claude-sonnet-4-6",
              @"max_tokens": @1024,
              @"messages": @[
                  @{
                      @"role": @"user",
                      @"content": @"你好，世界"
                  }
              ]
          };
          
          NSError *error;
          NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
                                                            options:0
                                                              error:&error];
          
          NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
          [request setHTTPMethod:@"POST"];
          [request setValue:apiKey forHTTPHeaderField:@"x-api-key"];
          [request setValue:@"2025-10-01" forHTTPHeaderField:@"anthropic-version"];
          [request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
          [request setHTTPBody:jsonData];
          
          NSURLSessionDataTask *task = [[NSURLSession sharedSession] 
              dataTaskWithRequest:request
              completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
                  if (error) {
                      NSLog(@"Error: %@", error);
                      return;
                  }
                  NSString *result = [[NSString alloc] initWithData:data 
                                                          encoding:NSUTF8StringEncoding];
                  NSLog(@"%@", result);
              }];
          
          [task resume];
          [[NSRunLoop mainRunLoop] run];
      }
      return 0;
  }
  

  (* Requires cohttp and yojson libraries *)
  open Lwt
  open Cohttp
  open Cohttp_lwt_unix
  
  let url = "https://aiboxapi.com/v1/messages"
  let api_key = Sys.getenv "API_KEY"
  
  let payload = {|{
    "model": "claude-sonnet-4-6",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "你好，世界"
      }
    ]
  }|}
  
  let () =
    let headers = Header.init ()
      |> fun h -> Header.add h "x-api-key" api_key
      |> fun h -> Header.add h "anthropic-version" "2025-10-01"
      |> fun h -> Header.add h "Content-Type" "application/json"
    in
    let body = Cohttp_lwt.Body.of_string payload in
    
    let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
      body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
      print_endline body_str
    in
    Lwt_main.run response
  

  import 'dart:convert';
  import 'dart:io';
  import 'package:http/http.dart' as http;
  
  void main() async {
    final url = Uri.parse('https://aiboxapi.com/v1/messages');
    final apiKey = Platform.environment['API_KEY'];
    
    final payload = {
      'model': 'claude-sonnet-4-6',
      'max_tokens': 1024,
      'messages': [
        {
          'role': 'user',
          'content': '你好，世界'
        }
      ]
    };
    
    final response = await http.post(
      url,
      headers: {
        'x-api-key': apiKey!,
        'anthropic-version': '2025-10-01',
        'Content-Type': 'application/json',
      },
      body: jsonEncode(payload),
    );
    
    print(response.body);
  }
  

  library(httr)
  library(jsonlite)
  
  url <- "https://aiboxapi.com/v1/messages"
  api_key <- Sys.getenv("API_KEY")
  
  payload <- list(
    model = "claude-sonnet-4-6",
    max_tokens = 1024,
    messages = list(
      list(
        role = "user",
        content = "你好，世界"
      )
    )
  )
  
  response <- POST(
    url,
    add_headers(
      `x-api-key` = api_key,
      `anthropic-version` = "2025-10-01",
      `Content-Type` = "application/json"
    ),
    body = toJSON(payload, auto_unbox = TRUE),
    encode = "raw"
  )
  
  cat(content(response, "text"))
  

  {
    "code": 200,
    "data": {
      "id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "text",
          "text": "你好！我是Claude。很高兴见到你。"
        }
      ],
      "model": "claude-sonnet-4-6",
      "stop_reason": "end_turn",
      "stop_sequence": null,
      "usage": {
        "input_tokens": 12,
        "output_tokens": 18
      }
    }
  }
  

  {
    "type": "error",
    "error": {
      "type": "invalid_request_error",
      "message": "请求参数无效"
    }
  }
  

  {
    "type": "error",
    "error": {
      "type": "authentication_error",
      "message": "无效的API密钥"
    }
  }
  

  {
    "type": "error",
    "error": {
      "type": "rate_limit_error",
      "message": "请求过于频繁"
    }
  }
  

  {
    "type": "error",
    "error": {
      "type": "api_error",
      "message": "服务器内部错误"
    }
  }
  

Authorizations

x-api-key: YOUR_API_KEY

Body

  角色类型

  可选值：`user`（用户消息）、`assistant`（AI回复，用于多轮对话和预填充）

  注：Claude API 的 system 提示词使用单独的 `system` 参数，不在 messages 中

  消息内容

  填写消息的文本内容

单条用户消息示例：

[{"role": "user", "content": "你好，Claude"}]

多轮对话示例：

[
  {"role": "user", "content": "你好"},
  {"role": "assistant", "content": "你好！我是Claude。"},
  {"role": "user", "content": "能解释一下AI吗？"}
]

预填充助手回复：

[
  {"role": "user", "content": "太阳的希腊名称是？(A) Sol (B) Helios (C) Sun"},
  {"role": "assistant", "content": "答案是 ("}
]

{
  "system": "你是一位专业的Python编程导师"
}

{
  "system": [
    {
      "type": "text",
      "text": "你是一位专业的Python编程导师"
    }
  ]
}

{
  "tools": [
    {
      "name": "get_weather",
      "description": "获取指定位置的当前天气",
      "input_schema": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "城市和省份，例如：北京"
          },
          "unit": {
            "type": "string",
            "enum": ["celsius", "fahrenheit"],
            "description": "温度单位"
          }
        },
        "required": ["location"]
      }
    }
  ]
}

Response

[{"type": "text", "text": "你好！我是Claude。"}]

[
  {
    "type": "tool_use",
    "id": "toolu_01A09q90qw90lq917835lq9",
    "name": "get_weather",
    "input": {"location": "北京", "unit": "celsius"}
  }
]

  输入token数

  输出token数

使用示例

基础对话

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://aiboxapi.com"
)

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "解释量子计算的基本原理"}
    ]
)

print(message.content[0].text)

多轮对话

messages = [
    {"role": "user", "content": "什么是机器学习？"},
    {"role": "assistant", "content": "机器学习是人工智能的一个分支..."},
    {"role": "user", "content": "能举个实际应用的例子吗？"}
]

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=messages
)

使用系统提示词

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    system="你是一位资深的Python开发专家，擅长代码审查和优化建议。",
    messages=[
        {"role": "user", "content": "如何优化这段代码？\n\n[代码]"}
    ]
)

流式响应

with client.messages.stream(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "写一篇关于AI的短文"}
    ]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

工具使用

tools = [
    {
        "name": "get_stock_price",
        "description": "获取股票的实时价格",
        "input_schema": {
            "type": "object",
            "properties": {
                "ticker": {
                    "type": "string",
                    "description": "股票代码，例如：AAPL"
                }
            },
            "required": ["ticker"]
        }
    }
]

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    tools=tools,
    messages=[
        {"role": "user", "content": "特斯拉的股价是多少？"}
    ]
)

# 处理工具调用
if message.stop_reason == "tool_use":
    tool_use = next(block for block in message.content if block.type == "tool_use")
    print(f"调用工具: {tool_use.name}")
    print(f"参数: {tool_use.input}")

视觉理解

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image",
                    "source": {
                        "type": "url",
                        "url": "https://example.com/image.jpg"
                    }
                },
                {
                    "type": "text",
                    "text": "描述这张图片"
                }
            ]
        }
    ]
)

Base64图像

import base64

with open("image.jpg", "rb") as image_file:
    image_data = base64.b64encode(image_file.read()).decode("utf-8")

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": "image/jpeg",
                        "data": image_data
                    }
                },
                {
                    "type": "text",
                    "text": "分析这张图片"
                }
            ]
        }
    ]
)

最佳实践

1. 提示词工程

清晰的角色定义：

system = """你是一位经验丰富的数据科学家，专长包括：
- 统计分析和数据可视化
- 机器学习模型开发
- Python和R编程
请提供专业、准确的建议。"""

结构化输出：

message = "请以JSON格式返回分析结果，包含summary、key_findings和recommendations字段。"

2. 错误处理

from anthropic import APIError, RateLimitError

try:
    message = client.messages.create(
        model="claude-sonnet-4-6",
        max_tokens=1024,
        messages=[{"role": "user", "content": "你好"}]
    )
except RateLimitError:
    print("速率限制，请稍后重试")
except APIError as e:
    print(f"API错误: {e}")

3. Token优化

# 使用更短的提示词
messages = [
    {"role": "user", "content": "总结要点：\n\n[长文本]"}
]

# 限制输出长度
message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=500,  # 限制输出
    messages=messages
)

4. 预填充响应

# 引导模型以特定格式回复
messages = [
    {"role": "user", "content": "列出5个Python最佳实践"},
    {"role": "assistant", "content": "以下是5个Python最佳实践：\n\n1."}
]

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=messages
)

流式响应处理

Python流式示例

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://aiboxapi.com"
)

with client.messages.stream(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "写一个Python装饰器示例"}
    ]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

JavaScript流式示例

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  apiKey: process.env.API_KEY,
  baseURL: 'https://aiboxapi.com'
});

const stream = await client.messages.stream({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: '写一个React组件示例' }
  ]
});

for await (const chunk of stream) {
  if (chunk.type === 'content_block_delta' && 
      chunk.delta.type === 'text_delta') {
    process.stdout.write(chunk.delta.text);
  }
}

注意事项

1. API密钥安全：

   • 使用环境变量存储API密钥
   • 不要在代码中硬编码密钥
   • 定期轮换密钥

2. 速率限制：

   • 注意API的速率限制
   • 实现重试机制
   • 使用指数退避策略

3. Token管理：

   • 监控token使用量
   • 优化提示词长度
   • 使用适当的max_tokens值

4. 模型选择：

   • Opus: 复杂任务、需要深度思考
   • Sonnet: 平衡性能和成本
   • Haiku: 快速响应、简单任务

5. 内容过滤：

   • 验证用户输入
   • 过滤敏感信息
   • 实现内容审核机制