Python配置方式

Python基础对话

key='sk-xxxx'


from openai import OpenAI

client = OpenAI(
    base_url="https://api.aiki.cc/v1",
    api_key=key
)

response = client.chat.completions.create(
  model="gpt-4o",
  messages=[
    {"role": "user", "content": "你好?"},

  ]
)
print(response)

Python使用gpt-4o识别图片

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aiki.cc/v1",
    api_key=key
)

response = client.chat.completions.create(
  model="gpt-4o",
  messages=[
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "What’s in this image?"},
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
          },
        },
      ],
    }
  ],
  max_tokens=300,
)

print(response.choices[0])

Python使用Claude识别图片

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aiki.cc/v1",
    api_key=key
)

response = client.chat.completions.create(
  model="claude-3-5-sonnet-20240620",
  messages=[
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "What’s in this image?"},
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
          },
        },
      ],
    }
  ],
  max_tokens=300,
)

print(response.choices[0])

实例是以对话(v1/chat/completions) 接口作为样例；官方还有很多类型的结果更多对话接口参数，请参考官网文档 https://platform.openai.com/docs/api-reference/chat/create 下面为各位准备好多实例

CURL 实例

curl --request POST \
  --url https://api.aiki.cc/v1/chat/completions \
  --header 'Authorization: Bearer sk-替换为你的key' \
  -H "Content-Type: application/json" \
  --data '{
    "max_tokens": 1200,
    "model": "gpt-3.5-turbo",
    "temperature": 0.8,
    "top_p": 1,
    "presence_penalty": 1,
    "messages": [
        {
            "role": "system",
            "content": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible."
        },
        {
            "role": "user",
            "content": "你是chatGPT多少？"
        }
    ]
}'

PHP 示例

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://api.aiki.cc/v1/chat/completions');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);

$headers = array();
$headers[] = 'Content-Type: application/json';
$headers[] = 'Authorization: Bearer sk-替换为你的key';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

$data = array(
    'max_tokens' => 1200,
    'model' => 'gpt-3.5-turbo',
    'temperature' => 0.8,
    'top_p' => 1,
    'presence_penalty' => 1,
    'messages' => array(
        array(
            'role' => 'system',
            'content' => 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.'
        ),
        array(
            'role' => 'user',
            'content' => '你是chatGPT多少？'
        )
    )
);

$data_string = json_encode($data);

curl_setopt($ch, CURLOPT_POSTFIELDS, $data_string);

$result = curl_exec($ch);

if (curl_errno($ch)) {
    echo 'Error:' . curl_error($ch);
}

curl_close($ch);

echo $result;

java 示例

import okhttp3.*;

import java.io.IOException;

public class OpenAIChat {

    public static void main(String[] args) throws IOException {
        String url = "https://api.aiki.cc/v1/chat/completions";
        
        OkHttpClient client = new OkHttpClient();

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

        String json = "{\n" +
                "  \"max_tokens\": 1200,\n" +
                "  \"model\": \"gpt-3.5-turbo\",\n" +
                "  \"temperature\": 0.8,\n" +
                "  \"top_p\": 1,\n" +
                "  \"presence_penalty\": 1,\n" +
                "  \"messages\": [\n" +
                "    {\n" +
                "      \"role\": \"system\",\n" +
                "      \"content\": \"You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.\"\n" +
                "    },\n" +
                "    {\n" +
                "      \"role\": \"user\",\n" +
                "      \"content\": \"你是chatGPT多少？\"\n" +
                "    }\n" +
                "  ]\n" +
                "}";

        RequestBody body = RequestBody.create(mediaType, json);
        Request request = new Request.Builder()
                .url(url)
                .post(body)
                .addHeader("Content-Type", "application/json")
                .addHeader("Authorization", "Bearer sk-替换为你的key")
                .build();

        Call call = client.newCall(request);
        Response response = call.execute();
        String result = response.body().string();
        System.out.println(result);
    }

}

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