快速接入

目前 OpenAI-HK 提供 GPT、Dall-e-3、gpt-4o o1 o3 gpt-image-1 等 openai 中转接口服务，需要支付费用后才可调用
同时 OpenAI-HK 还提供 Suno、Flux、Midjourney、Google Veo3、Riffusion 等涵盖 AI Music、AI Video、AI Image、AI Chat 服务
官方参考需要科学上网

调用方式

先通过 openai-hk注册一个帐号；
登录后，点击：【获取 key】即可获得 api-key;
复制 KEY 返回的 hk-开头的 api_key，将原请求头中的 api_key 替换成我们专属的 api_key 例如：

原来: sk-sdiL2SMN4D7GBqFhBsYdT2345kFJhwEHGXbU5RzCM8dS3lrn

现在: hk-wsvj0oyeb0srl8b76xgzolc678996mhwlk3p3y7p3qo9wjdl

OpenAI 的 api_key 通常以 sk- 作为开头，但我们平台的 api_key 以 hk- 开头后面是 48 位随机字符串

原请求地址 api.openai.com 的后面加上-hk，即 api.openai-hk.com

例如：

原来: https://api.openai.com/v1/chat/completions

现在: https://api.openai-hk.com/v1/chat/completions

🔥 对话接口实例

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

shell

curl --request POST \
  --url https://api.openai-hk.com/v1/chat/completions \
  --header 'Authorization: Bearer hk-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？"
        }
    ]
}'

curl --request POST \
  --url https://api.openai-hk.com/v1/chat/completions \
  --header 'Authorization: Bearer hk-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？"
        }
    ]
}'

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

PHP 实例

php


$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://api.openai-hk.com/v1/chat/completions');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);

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


$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://api.openai-hk.com/v1/chat/completions');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);

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

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

Python 实例

Python

import requests
import json

url = "https://api.openai-hk.com/v1/chat/completions"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer hk-替换为你的key"
}

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？"
        }
    ]
}

response = requests.post(url, headers=headers, data=json.dumps(data).encode('utf-8') )
result = response.content.decode("utf-8")

print(result)

import requests
import json

url = "https://api.openai-hk.com/v1/chat/completions"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer hk-替换为你的key"
}

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？"
        }
    ]
}

response = requests.post(url, headers=headers, data=json.dumps(data).encode('utf-8') )
result = response.content.decode("utf-8")

print(result)

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

javascript 实例

js

const axios = require("axios");

const url = "https://api.openai-hk.com/v1/chat/completions";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer hk-替换为你的key",
};

const 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？",
    },
  ],
};

axios
  .post(url, data, { headers })
  .then((response) => {
    const result = response.data;
    console.log(result);
  })
  .catch((error) => {
    console.error(error);
  });

const axios = require("axios");

const url = "https://api.openai-hk.com/v1/chat/completions";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer hk-替换为你的key",
};

const 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？",
    },
  ],
};

axios
  .post(url, data, { headers })
  .then((response) => {
    const result = response.data;
    console.log(result);
  })
  .catch((error) => {
    console.error(error);
  });

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

typescript 实例

typescript

import axios from "axios";

const url = "https://api.openai-hk.com/v1/chat/completions";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer hk-替换为你的key",
};

const 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？",
    },
  ],
};

axios
  .post(url, data, { headers })
  .then((response) => {
    const result = response.data;
    console.log(result);
  })
  .catch((error) => {
    console.error(error);
  });

import axios from "axios";

const url = "https://api.openai-hk.com/v1/chat/completions";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer hk-替换为你的key",
};

const 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？",
    },
  ],
};

axios
  .post(url, data, { headers })
  .then((response) => {
    const result = response.data;
    console.log(result);
  })
  .catch((error) => {
    console.error(error);
  });

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

java 实例

java

import okhttp3.*;

import java.io.IOException;

public class OpenAIChat {

    public static void main(String[] args) throws IOException {
        String url = "https://api.openai-hk.com/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 hk-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);
    }

}

import okhttp3.*;

import java.io.IOException;

public class OpenAIChat {

    public static void main(String[] args) throws IOException {
        String url = "https://api.openai-hk.com/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 hk-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);
    }

}

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

go 实例

go

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	url := "https://api.openai-hk.com/v1/chat/completions"
	apiKey := "hk-替换为你的key"

	payload := map[string]interface{}{
		"max_tokens":        1200,
		"model":             "gpt-3.5-turbo",
		"temperature":       0.8,
		"top_p":             1,
		"presence_penalty":  1,
		"messages": []map[string]string{
			{
				"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？",
			},
		},
	}

	jsonPayload, err := json.Marshal(payload)
	if err != nil {
		fmt.Println("Error encoding JSON payload:", err)
		return
	}

	req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonPayload))
	if err != nil {
		fmt.Println("Error creating HTTP request:", err)
		return
	}

	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		fmt.Println("Error making API request:", err)
		return
	}
	defer resp.Body.Close()

	// 处理响应
	// 请根据实际需求解析和处理响应数据
	fmt.Println("Response HTTP Status:", resp.StatusCode)
}

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

func main() {
	url := "https://api.openai-hk.com/v1/chat/completions"
	apiKey := "hk-替换为你的key"

	payload := map[string]interface{}{
		"max_tokens":        1200,
		"model":             "gpt-3.5-turbo",
		"temperature":       0.8,
		"top_p":             1,
		"presence_penalty":  1,
		"messages": []map[string]string{
			{
				"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？",
			},
		},
	}

	jsonPayload, err := json.Marshal(payload)
	if err != nil {
		fmt.Println("Error encoding JSON payload:", err)
		return
	}

	req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonPayload))
	if err != nil {
		fmt.Println("Error creating HTTP request:", err)
		return
	}

	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		fmt.Println("Error making API request:", err)
		return
	}
	defer resp.Body.Close()

	// 处理响应
	// 请根据实际需求解析和处理响应数据
	fmt.Println("Response HTTP Status:", resp.StatusCode)
}

如需调用 4.0，可将上面 modle 中 gpt-3.5-turbo 改为 gpt-4 或 gpt-4-0613 即可。

🚀js 实现 sse 打字效果

注意

可 node.js 后端运行；也支持浏览器模式；需要注意的是如果是前端注意保护好你的 key。

如何保护好 key？可以跟 nginx 配合将 header 部分的 'Authorization': 'Bearer hk-你的key' 放到 nginx 当中

js

//记得引入 `axios`
const chatGPT = (msg, opt) => {
  let content = "";
  const dataPar = (data) => {
    let rz = {};
    let dz = data.split("data:", 2);
    const str = dz[1].trim();
    if (str == "[DONE]") rz = { finish: true, text: "" };
    else {
      rz = JSON.parse(str);
      rz.text = rz.choices[0].delta.content;
    }
    return rz;
  };
  const dd = (data) => {
    let arr = data.trim().split("\n\n");
    let rz = { text: "", arr: [] };
    const atext = arr.map((v) => {
      const aa = dataPar(v);
      return aa.text;
    });
    rz.arr = atext;
    rz.text = atext.join("");
    if (opt.onMessage) opt.onMessage(rz);
    return rz;
  };
  return new Promise((resolve, reject) => {
    axios({
      method: "post",
      url: "https://api.openai-hk.com/v1/chat/completions",
      data: {
        max_tokens: 1200,
        model: "gpt-3.5-turbo", //模型替换 如需调用4.0，改为gpt-4或gpt-4-0613即可
        temperature: 0.8,
        top_p: 1,
        presence_penalty: 1,
        messages: [
          {
            role: "system",
            content: opt.system ?? "You are ChatGPT",
          },
          {
            role: "user",
            content: msg,
          },
        ],
        stream: true, //数据流方式输出
      },
      headers: {
        "Content-Type": "application/json",
        Authorization: "Bearer hk-你的key",
      },
      onDownloadProgress: (e) => dd(e.target.responseText),
    })
      .then((d) => resolve(dd(d.data)))
      .catch((e) => reject(e));
  });
};

//调用
chatGPT("你是谁？", {
  //system:'', //角色定义
  onMessage: (d) => console.log("过程性结果：", d.text),
})
  .then((d) => console.log("✅最终结果：", d))
  .catch((e) => console.log("❎错误：", e));

//记得引入 `axios`
const chatGPT = (msg, opt) => {
  let content = "";
  const dataPar = (data) => {
    let rz = {};
    let dz = data.split("data:", 2);
    const str = dz[1].trim();
    if (str == "[DONE]") rz = { finish: true, text: "" };
    else {
      rz = JSON.parse(str);
      rz.text = rz.choices[0].delta.content;
    }
    return rz;
  };
  const dd = (data) => {
    let arr = data.trim().split("\n\n");
    let rz = { text: "", arr: [] };
    const atext = arr.map((v) => {
      const aa = dataPar(v);
      return aa.text;
    });
    rz.arr = atext;
    rz.text = atext.join("");
    if (opt.onMessage) opt.onMessage(rz);
    return rz;
  };
  return new Promise((resolve, reject) => {
    axios({
      method: "post",
      url: "https://api.openai-hk.com/v1/chat/completions",
      data: {
        max_tokens: 1200,
        model: "gpt-3.5-turbo", //模型替换 如需调用4.0，改为gpt-4或gpt-4-0613即可
        temperature: 0.8,
        top_p: 1,
        presence_penalty: 1,
        messages: [
          {
            role: "system",
            content: opt.system ?? "You are ChatGPT",
          },
          {
            role: "user",
            content: msg,
          },
        ],
        stream: true, //数据流方式输出
      },
      headers: {
        "Content-Type": "application/json",
        Authorization: "Bearer hk-你的key",
      },
      onDownloadProgress: (e) => dd(e.target.responseText),
    })
      .then((d) => resolve(dd(d.data)))
      .catch((e) => reject(e));
  });
};

//调用
chatGPT("你是谁？", {
  //system:'', //角色定义
  onMessage: (d) => console.log("过程性结果：", d.text),
})
  .then((d) => console.log("✅最终结果：", d))
  .catch((e) => console.log("❎错误：", e));

😁embeddings 接口

请求地址： POST https://api.openai-hk.com/v1/embeddings

node.js 请求实例

js

const fetch = require("node-fetch");

fetch("https://api.openai-hk.com/v1/embeddings", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-替换为你的key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    input: "一起来使用ChatGPT",
    model: "text-embedding-ada-002",
  }),
});

const fetch = require("node-fetch");

fetch("https://api.openai-hk.com/v1/embeddings", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-替换为你的key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    input: "一起来使用ChatGPT",
    model: "text-embedding-ada-002",
  }),
});

😁moderations 接口

请求地址： POST https://api.openai-hk.com/v1/moderations

node.js 请求实例

js

const fetch = require("node-fetch");

fetch("https://api.openai-hk.com/v1/moderations", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-替换为你的key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: "有人砍我" }),
});

const fetch = require("node-fetch");

fetch("https://api.openai-hk.com/v1/moderations", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-替换为你的key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: "有人砍我" }),
});

😁 各种应用

现实中有好多应用，可以选择一种你喜欢的

chatgpt-web

docker 启动默认模型是 gpt-3.5

shell

docker run --name chatgpt-web -d -p 6011:3002 \
--env OPENAI_API_KEY=hk-替换为你的key \
--env TIMEOUT_MS=600000  --env OPENAI_MAX_TOKEN=1000 \
--env OPENAI_API_BASE_URL=https://api.openai-hk.com  chenzhaoyu94/chatgpt-web

docker run --name chatgpt-web -d -p 6011:3002 \
--env OPENAI_API_KEY=hk-替换为你的key \
--env TIMEOUT_MS=600000  --env OPENAI_MAX_TOKEN=1000 \
--env OPENAI_API_BASE_URL=https://api.openai-hk.com  chenzhaoyu94/chatgpt-web

然后访问 http://127.0.0.1:6011

chatgpt-web gpt-4

默认模型是 gpt-3.5 如何起一个默认模型 gpt-4.0 呢? 使用环境变量 OPENAI_API_MODEL

shell

docker run --name chatgpt-web -d -p 6040:3002 \
--env OPENAI_API_KEY=hk-替换为你的key \
--env TIMEOUT_MS=600000  --env OPENAI_MAX_TOKEN=1000 \
--env OPENAI_API_MODEL=gpt-4-0613 \
--env OPENAI_API_BASE_URL=https://api.openai-hk.com  chenzhaoyu94/chatgpt-web

docker run --name chatgpt-web -d -p 6040:3002 \
--env OPENAI_API_KEY=hk-替换为你的key \
--env TIMEOUT_MS=600000  --env OPENAI_MAX_TOKEN=1000 \
--env OPENAI_API_MODEL=gpt-4-0613 \
--env OPENAI_API_BASE_URL=https://api.openai-hk.com  chenzhaoyu94/chatgpt-web

然后访问 http://127.0.0.1:6040

可选模型有哪些

模型	说明
gpt-3.5-turbo-0613	3.5 的 4k 上下文支持到 4k
gpt-3.5-turbo-16k-0613	3.5 的 16k 能够支持更长的上下文价格比普通 3.5 贵些
gpt-3.5-turbo-1106	3.5 的 16k 价格与 3.5 4k 一样
gpt-4	8k 的 4.0 上下文支持到 8k
gpt-4-0613	4.0 的 0613 版本
gpt-4-1106-preview	128k 的 4.0 价格是普通 gpt-4 的一半
gpt-4-vision-preview	token 价格跟 gpt-4-1106-preview 一样，支持 4k, 有额外的图片费用
dall-e-3	openai 的画图
Midjourney	非 openai 的画图产品

看效果 cover

chatgpt-next-web

shell

docker run  --name chatgpt-next-web   -d -p 6013:3000 \
   -e OPENAI_API_KEY="hk-替换为你的key" \
   -e BASE_URL=https://api.openai-hk.com   yidadaa/chatgpt-next-web

docker run  --name chatgpt-next-web   -d -p 6013:3000 \
   -e OPENAI_API_KEY="hk-替换为你的key" \
   -e BASE_URL=https://api.openai-hk.com   yidadaa/chatgpt-next-web

然后访问 http://127.0.0.1:6013

看效果

cover

其他

如果还有其应用请联系我们客服协助

🚀 直接使用

1、chatgpt web 多模型自由切换

注意 1.访问 https://chat.ddaiai.com/ (如果被墙，请换用将二级域名 chat更换为 hi)

2.如果发现被墙了可以自己换地址 https://hello.ddaiai.com 把 hello 换其他的如 https://202312.ddaiai.com 都能访问

设置

然后在下图相应的地方设置
OpenAi接口地址: https://api.openai-hk.com
OpenAi API KEY: hk-你的apiKey

如果想画图 把midjourney的资料也完善
midjourney 接口地址: https://api.openai-hk.com
midjourney Api Secret: hk-你的apiKey

然后在下图相应的地方设置
OpenAi接口地址: https://api.openai-hk.com
OpenAi API KEY: hk-你的apiKey

如果想画图 把midjourney的资料也完善
midjourney 接口地址: https://api.openai-hk.com
midjourney Api Secret: hk-你的apiKey

cover 效果

输入框提问对话

模型切换 支持自定义模型，多个可以用逗号隔开 cover

2、next-web 多模型自由切换

注意 1.访问 https://web.ccaiai.com/ (需要科学)

2.如果发现被墙了可以自己换地址 https://suibian.ccaiai.com 把 suibian 换其他的如 https://abc.ccaiai.com 都能访问

然后在下图相应的地方设置
接口地址：https://api.openai-hk.com
API KEY: hk-你的apiKey
模型：选择 GPT-4

然后在下图相应的地方设置
接口地址：https://api.openai-hk.com
API KEY: hk-你的apiKey
模型：选择 GPT-4

cover

输入框提问对话

cover