Baidu ERNIE 4.5 21B A3B Thinking API

通过持续扩展ERNIE-4.5-21B-A3B 的思维能力，显著提升推理的质量与深度，进而增强ERNIE轻量级模型在复杂推理任务中的竞争力，ERNIE-4.5-21B-A3B-Thinking的核心升级包括：

• 在需要人类专业知识的逻辑推理、数学计算、科学分析、代码编写、文本生成及学术基准测试中实现推理性能显著提升
• 具备高效工具调用能力
• 强化** 128K 长上下文理解与处理**能力

此 API 接口兼容 OpenAI 的接口规范，也就是可以直接使用 OpenAI 的 SDK 来调用各个模型。仅需替换以下两项配置即可：

1. base_url 替换为 https://wcode.net/api/gpt/v1
2. api_key 替换为从 https://wcode.net/get-apikey 获取到的 API Key

具体可参考下方的各编程语言代码示例中的 openai sdk 调用示例。

# TODO: 以下代码中的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey

curl --request POST 'https://wcode.net/api/gpt/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer API_KEY' \
--data '{
    "model": "baidu/ernie-4.5-21b-a3b-thinking",
    "messages": [
        {
            "role": "user",
            "content": "你好"
        }
    ]
}'

import Foundation

let headers = [
  "Authorization": "Bearer API_KEY",     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  "content-type": "application/json"
]
let parameters = [
  "model": "baidu/ernie-4.5-21b-a3b-thinking",
  "messages": [
    [
      "role": "user",
      "content": "你好"
    ]
  ]
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://wcode.net/api/gpt/v1/chat/completions")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 60.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()

var headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer API_KEY'     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
};
var request = http.Request('POST', Uri.parse('https://wcode.net/api/gpt/v1/chat/completions'));
request.body = json.encode({
  "model": "baidu/ernie-4.5-21b-a3b-thinking",
  "messages": [
    {
      "role": "user",
      "content": "你好"
    }
  ]
});
request.headers.addAll(headers);

http.StreamedResponse response = await request.send();

if (response.statusCode == 200) {
  print(await response.stream.bytesToString());
}
else {
  print(response.reasonPhrase);
}

require 'uri'
require 'net/http'

url = URI("https://wcode.net/api/gpt/v1/chat/completions")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer API_KEY'     # TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
request["content-type"] = 'application/json'
request.body = "{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}"

response = http.request(request)
puts response.read_body

use serde_json::json;
use reqwest;

#[tokio::main]
pub async fn main() {
  let url = "https://wcode.net/api/gpt/v1/chat/completions";

  let payload = json!({
    "model": "baidu/ernie-4.5-21b-a3b-thinking",
    "messages": (
      json!({
        "role": "user",
        "content": "你好"
      })
    )
  });

  let mut headers = reqwest::header::HeaderMap::new();
  headers.insert("Authorization", "Bearer API_KEY".parse().unwrap());     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  headers.insert("content-type", "application/json".parse().unwrap());

  let client = reqwest::Client::new();
  let response = client.post(url)
    .headers(headers)
    .json(&payload)
    .send()
    .await;

  let results = response.unwrap()
    .json::<serde_json::Value>()
    .await
    .unwrap();

  dbg!(results);
}

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://wcode.net/api/gpt/v1/chat/completions");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer API_KEY");    // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
headers = curl_slist_append(headers, "content-type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}");

CURLcode ret = curl_easy_perform(hnd);

package main

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

func main() {
  url := "https://wcode.net/api/gpt/v1/chat/completions"

  payload := strings.NewReader("{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}")

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

  req.Header.Add("Authorization", "Bearer API_KEY")     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  req.Header.Add("content-type", "application/json")

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

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

  fmt.Println(res)
  fmt.Println(string(body))
}

using System.Net.Http.Headers;


var client = new HttpClient();

var request = new HttpRequestMessage(HttpMethod.Post, "https://wcode.net/api/gpt/v1/chat/completions");

request.Headers.Add("Authorization", "Bearer API_KEY");     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey

request.Content = new StringContent("{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}", null, "application/json");

var response = await client.SendAsync(request);

response.EnsureSuccessStatusCode();

Console.WriteLine(await response.Content.ReadAsStringAsync());

var client = new RestClient("https://wcode.net/api/gpt/v1/chat/completions");

var request = new RestRequest("", Method.Post);

request.AddHeader("Authorization", "Bearer API_KEY");     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey

request.AddHeader("content-type", "application/json");

request.AddParameter("application/json", "{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}", ParameterType.RequestBody);

var response = client.Execute(request);

const axios = require('axios');

let data = JSON.stringify({
  "model": "baidu/ernie-4.5-21b-a3b-thinking",
  "messages": [
    {
      "role": "user",
      "content": "你好"
    }
  ]
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://wcode.net/api/gpt/v1/chat/completions',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer API_KEY'     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  },
  data : data
};

axios.request(config).then((response) => {
  console.log(JSON.stringify(response.data));
}).catch((error) => {
  console.log(error);
});

OkHttpClient client = new OkHttpClient();

MediaType mediaType = MediaType.parse("application/json");

RequestBody body = RequestBody.create(mediaType, "{\"model\":\"baidu/ernie-4.5-21b-a3b-thinking\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}");

Request request = new Request.Builder()
  .url("https://wcode.net/api/gpt/v1/chat/completions")
  .post(body)
  .addHeader("Authorization", "Bearer API_KEY")             // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  .addHeader("content-type", "application/json")
  .build();

Response response = client.newCall(request).execute();

$client = new \GuzzleHttp\Client();

$headers = [
  'Content-Type' => 'application/json',
  'Authorization' => 'Bearer API_KEY',     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
];

$body = '{
  "model": "baidu/ernie-4.5-21b-a3b-thinking",
  "messages": [
    {
      "role": "user",
      "content": "你好"
    }
  ]
}';

$request = new \GuzzleHttp\Psr7\Request('POST', 'https://wcode.net/api/gpt/v1/chat/completions', $headers, $body);

$response = $client->sendAsync($request)->wait();

echo $response->getBody();

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://wcode.net/api/gpt/v1/chat/completions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 5,
  CURLOPT_TIMEOUT => 300,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'baidu/ernie-4.5-21b-a3b-thinking',
    'messages' => [
      [
        'role' => 'user',
        'content' => '你好'
      ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer API_KEY",     // TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
    "content-type: application/json",
  ],
]);

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

curl_close($curl);

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

import requests
import json

url = "https://wcode.net/api/gpt/v1/chat/completions"

payload = {
  "model": "baidu/ernie-4.5-21b-a3b-thinking",
  "messages": [
    {
      "role": "user",
      "content": "你好"
    }
  ]
}

headers = {
  "Authorization": "Bearer API_KEY",     # TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
  "content-type": "application/json"
}

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

print(json.dumps(response.json(), indent=4, ensure_ascii=False))

from openai import OpenAI

client = OpenAI(
  base_url="https://wcode.net/api/gpt/v1",
  api_key="API_KEY"                             # TODO: 这里的 API_KEY 需要替换，获取 API Key 入口：https://wcode.net/get-apikey
)

completion = client.chat.completions.create(
  model="baidu/ernie-4.5-21b-a3b-thinking",
  messages=[
    {
      "role": "user",
      "content": "你好"
    }
  ]
)

print(completion.choices[0].message.content)

{
    "id": "chatcmpl-t1760066291s386r36b7979078bb3e751ccc09b2",
    "model": "baidu/ernie-4.5-21b-a3b-thinking",
    "object": "chat.completion",
    "created": 1760066292,
    "choices": [
        {
            "logprobs": null,
            "finish_reason": "stop",
            "native_finish_reason": "stop",
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n你好呀～我是百度研发的文心X1（ERNIE X1），是一个能和你轻松聊天、帮你解决问题的智能助手～  \n\n我的“大脑”基于深度学习技术训练，专门处理自然语言理解和生成任务——简单来说，我能听懂你说的话，也能用自然的语言回应你。不管是回答问题、分享知识，还是帮你 brainstorm、写文案、算数学题，我都很乐意帮忙～  \n\n比如你想聊聊天、查天气、算日常开销，或者需要写诗、写代码、做攻略，只要在合理范围内，我都尽量会做～  \n\n不过要注意哦，我不能处理实时信息（比如最新的新闻、实时数据），也不能涉及敏感或违法内容，这是我的“底线”～  \n\n如果有具体需求或问题，随时告诉我，我会尽力解答！ 😊\n\n",
                "refusal": null,
                "reasoning": "用户现在需要我介绍自己。首先，我需要明确用户的需求，他们可能想了解我的背景、功能、能力等。首先，我应该从基本信息开始，比如我是百度研发的文心X1，基于深度学习技术，然后说明我的核心功能，比如自然语言处理、知识推理等。还要提到适用场景，比如对话、问答、创作等。另外，用户可能关心我的限制，比如不能处理实时信息或敏感内容，需要明确说明。要保持口语化，避免太技术化，让用户容易理解。需要结构清晰，分点或分段，但保持自然。现在组织语言，确保覆盖关键点：身份、技术基础、核心功能、应用场景、限制。最后保持友好，邀请用户提问。\n\n首先，开头可以亲切一点，比如“你好呀～我是百度研发的文心X1（ERNIE X1），一个能和你聊天、帮你解决问题的智能助手～” 然后解释技术基础：“我基于深度学习技术训练而成，专门处理自然语言理解和生成任务，能听懂你说的话，也能用自然的语言回应你。” 接着核心功能：“不管是回答问题、分享知识，还是帮你 brainstorm、写文案，我都能尽力搞定～” 应用场景：“比如你想聊天解闷、查天气、算数学题，或者需要写诗、写代码、做攻略，我都很乐意帮忙～” 限制部分：“不过要注意哦，我不能处理实时信息（比如最新的新闻、实时数据），也不能涉及敏感或违法内容，希望理解～” 最后邀请：“如果有具体需求或问题，随时告诉我，我会尽力解答～” 这样应该覆盖了用户的需求，同时保持自然友好。\n"
            }
        }
    ],
    "system_fingerprint": "",
    "usage": {
        "prompt_tokens": 31,
        "completion_tokens": 538,
        "total_tokens": 569,
        "prompt_tokens_details": null,
        "completion_tokens_details": {
            "reasoning_tokens": 351
        }
    }
}