Getting Started

OpenAI-HK provides OpenAI transit interface services such as GPT, Dall-e-3, gpt-4o o1 o3 gpt-image-1, etc. You need to pay a fee before you can call it.
OpenAI-HK also provides Suno, Flux, Midjourney, Google Veo3, Riffusion, etc., covering AI Music, AI Video, AI Image, AI Chat services
platform openai

API Method

Register an account through openai-hk first.
Log in with github account authorization
After logging in, click: Get key to get the api-key;
Copy the api_key starting with hk- returned by KEY and replace the api_key in the original request header with our own
Example：

Original: sk-sdiL2SMN4D7GBqFhBsYdT2345kFJhwEHGXbU5RzCM8dS3lrn

Now: hk-wsvj0oyeb0srl8b76xgzolc678996mhwlk3p3y7p3qo9wjdl

The api_key OpenAI is normally started with sk- ，But the api_key is started with hk- in our platform

The base url: api.openai.com changed to api.openai-hk.com

Example：

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

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

Examples of Chat Interface

The example is the dialogue (v1/chat/completions) interface as an example; the official also has many types of results
For more dialog interface parameters, please refer to the official website document https://platform.openai.com/docs/api-reference/chat/create
So here's a couple of instances for you.

CURL Instance

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 Instance

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 Instance

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 Instance

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);
  });

typescript Instance

typescript

import axios from "axios";

const url = "https://api.openai-hk.com/v1/chat/completions";
const headers = {
  "Content-Type": "application/json",
  Authorization: "Bearer hk-your-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: "Which version are you?",
    },
  ],
};

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-your-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: "Which version are you?",
    },
  ],
};

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

java Instance

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\": \"Which version are you?\"\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-your-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\": \"Which version are you?\"\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-your-key")
                .build();

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

}

go Instance

package main

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

func main() {
	url := "https://api.openai-hk.com/v1/chat/completions"
	apiKey := "hk-your-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": "Which version are you?",
			},
		},
	}

	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()
	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-your-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": "Which version are you?",
			},
		},
	}

	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()
	fmt.Println("Response HTTP Status:", resp.StatusCode)
}

Js implementation sse typing effect

Tips

Node.js can be run backend; it also supports browser mode; it should be noted that if it is a frontend, pay attention to protecting your key.

How to protect the key? You can cooperate with nginx to put the "Authorization": "Bearer hk - your key" in the header part into nginx.

//please import `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",
        temperature: 0.8,
        top_p: 1,
        presence_penalty: 1,
        messages: [
          {
            role: "system",
            content: opt.system ?? "You are ChatGPT",
          },
          {
            role: "user",
            content: msg,
          },
        ],
        stream: true, // data ouput with stream
      },
      headers: {
        "Content-Type": "application/json",
        Authorization: "Bearer hk-your-key",
      },
      onDownloadProgress: (e) => dd(e.target.responseText),
    })
      .then((d) => resolve(dd(d.data)))
      .catch((e) => reject(e));
  });
};

chatGPT("Which version are you?", {
  //system:'',
  onMessage: (d) => console.log("The process result:", d.text),
})
  .then((d) => console.log("✅The final result: ", d))
  .catch((e) => console.log("❎Error: ", e));

//please import `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",
        temperature: 0.8,
        top_p: 1,
        presence_penalty: 1,
        messages: [
          {
            role: "system",
            content: opt.system ?? "You are ChatGPT",
          },
          {
            role: "user",
            content: msg,
          },
        ],
        stream: true, // data ouput with stream
      },
      headers: {
        "Content-Type": "application/json",
        Authorization: "Bearer hk-your-key",
      },
      onDownloadProgress: (e) => dd(e.target.responseText),
    })
      .then((d) => resolve(dd(d.data)))
      .catch((e) => reject(e));
  });
};

chatGPT("Which version are you?", {
  //system:'',
  onMessage: (d) => console.log("The process result:", d.text),
})
  .then((d) => console.log("✅The final result: ", d))
  .catch((e) => console.log("❎Error: ", e));

Embeddings interface

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

node.js Example

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

fetch("https://api.openai-hk.com/v1/embeddings", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-your-key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    input: "Please use 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-your-key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    input: "Please use ChatGPT",
    model: "text-embedding-ada-002",
  }),
});

Moderations interface

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

node.js Example

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

fetch("https://api.openai-hk.com/v1/moderations", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-your-key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: "something wrong with you" }),
});

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

fetch("https://api.openai-hk.com/v1/moderations", {
  method: "POST",
  headers: {
    Authorization: "Bearer hk-your-key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ input: "something wrong with you" }),
});

Many Applications

There are many applications in reality, you can choose the one you like.

chatgpt-web

docker Start with the default model gpt-3.5

shell

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

Then http://127.0.0.1:6011

chatgpt-web gpt-4

The default model is gpt-3.5 How to create a default model gpt-4.0? Use environement variable OPENAI_API_MODEL

shell

docker run --name chatgpt-web -d -p 6040:3002 \
--env OPENAI_API_KEY=hk-your-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-your-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

then visit http://127.0.0.1:6040

What are the available models?

Model	Description
gpt-3.5-turbo-0613	3.5 version with 4k context support
gpt-3.5-turbo-16k-0613	3.5 version with 16k context support for longer contexts, more expensive than regular 3.5
gpt-3.5-turbo-1106	3.5 version with 16k context, priced the same as 3.5 with 4k
gpt-4	8k version of 4.0 with context support up to 8k
gpt-4-0613	The 0613 version of 4.0
gpt-4-1106-preview	128k version of 4.0, priced at half the cost of regular gpt-4
gpt-4-vision-preview	Same token pricing as gpt-4-1106-preview, supports 4k, with additional fees for images
dall-e-3	OpenAI's image generation model
Midjourney	Non-OpenAI image generation product

The Effect cover

chatgpt-next-web

shell

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

then http://127.0.0.1:6013

The Effect

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other

If You Need Additional Applications, Please Contact Our Customer Service

The Online Chat App

1. ChatGPT Web with Multiple Model Switching

Notes

Visit https://chat.ddaiai.com/ (if blocked, replace the subdomain 'chat' with 'hi')
2. If you find it's blocked, you can change the address yourself - 'https://hello.ddaiai.com' - replace 'hello' with anything else like 'https://202312.ddaiai.com' and it will still work

Settings

Then set up the following in the corresponding fields as shown in the image below:
OpenAI API address: https://api.openai-hk.com
OpenAI API KEY: hk-yourApiKey

If you want to generate images, also complete the Midjourney information:
Midjourney API address: https://api.openai-hk.com
Midjourney API Secret: hk-yourApiKey

Then set up the following in the corresponding fields as shown in the image below:
OpenAI API address: https://api.openai-hk.com
OpenAI API KEY: hk-yourApiKey

If you want to generate images, also complete the Midjourney information:
Midjourney API address: https://api.openai-hk.com
Midjourney API Secret: hk-yourApiKey

cover Result

Input box for questions and dialogue

Model Switching Supports custom models, multiple models can be separated by commas cover

2. Next-Web with Multiple Model Switching

Notes

Visit https://web.ccaiai.com/ (requires VPN)
2. If you find it's blocked, you can change the address yourself - 'https://suibian.ccaiai.com' - replace 'suibian' with anything else like 'https://abc.ccaiai.com' and it will still work

Then set up the following in the corresponding fields as shown in the image below:
API address: https://api.openai-hk.com
API KEY: hk-yourApiKey
Model: Select GPT-4

Then set up the following in the corresponding fields as shown in the image below:
API address: https://api.openai-hk.com
API KEY: hk-yourApiKey
Model: Select GPT-4

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Input box for questions and dialogue

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Getting Started ​

API Method ​

Examples of Chat Interface ​

CURL Instance ​

PHP Instance ​

Python Instance ​

javascript Instance ​

typescript Instance ​

java Instance ​

go Instance ​

Js implementation sse typing effect ​

Embeddings interface ​

Moderations interface ​

Many Applications ​

chatgpt-web ​

chatgpt-web gpt-4 ​

What are the available models? ​

chatgpt-next-web ​

other ​

The Online Chat App ​

1. ChatGPT Web with Multiple Model Switching ​

2. Next-Web with Multiple Model Switching ​

Getting Started

API Method

Examples of Chat Interface

CURL Instance

PHP Instance

Python Instance

javascript Instance

typescript Instance

java Instance

go Instance

Js implementation sse typing effect

Embeddings interface

Moderations interface

Many Applications

chatgpt-web

chatgpt-web gpt-4

What are the available models?

chatgpt-next-web

other

The Online Chat App

1. ChatGPT Web with Multiple Model Switching

2. Next-Web with Multiple Model Switching