(JavaScript) OpenAI (ChatGPT) Simple Request

See more OpenAI ChatGPT Examples

For more information, see https://platform.openai.com/docs/api-reference/making-requests

Note

This example is intended for running within a Chilkat.Js embedded JavaScript engine. All Chilkat JavaScript examples require Chilkat v11.4.0 or greater.

var success = false;

// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

var http = new CkHttp();

// Implements the following CURL command:

// curl https://api.openai.com/v1/chat/completions \
//   -H "Content-Type: application/json" \
//   -H "Authorization: Bearer $OPENAI_API_KEY" \
//   -d '{
//      "model": "gpt-3.5-turbo",
//      "messages": [{"role": "user", "content": "Say this is a test!"}],
//      "temperature": 0.7
//    }'

// Use the following online tool to generate HTTP code from a CURL command
// Convert a cURL Command to HTTP Source Code

// Use this online tool to generate code from sample JSON:
// Generate Code to Create JSON

// The following JSON is sent in the request body.

// {
//   "model": "gpt-3.5-turbo",
//   "messages": [
//     {
//       "role": "user",
//       "content": "Say this is a test!"
//     }
//   ],
//   "temperature": 0.7
// }

var json = new CkJsonObject();
json.UpdateString("model","gpt-3.5-turbo");
json.UpdateString("messages[0].role","user");
json.UpdateString("messages[0].content","Say this is a test!");
json.UpdateNumber("temperature","0.7");

// Adds the "Authorization: Bearer $OPENAI_API_KEY" header.
// This is NOT a real key.  Change the "sk-vi...." to your own key.
http.AuthToken = "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";

var resp = new CkHttpResponse();
success = http.HttpJson("POST","https://api.openai.com/v1/chat/completions",json,"application/json",resp);
if (success == false) {
    console.log(http.LastErrorText);
    return;
}

var sbResponseBody = new CkStringBuilder();
resp.GetBodySb(sbResponseBody);

var jResp = new CkJsonObject();
jResp.LoadSb(sbResponseBody);
jResp.EmitCompact = false;

console.log("Response Body:");
console.log(jResp.Emit());

var respStatusCode = resp.StatusCode;
console.log("Response Status Code = " + respStatusCode);
if (respStatusCode >= 400) {
    console.log("Response Header:");
    console.log(resp.Header);
    console.log("Failed.");
    return;
}

// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)

// {
//   "id": "chatcmpl-abc123",
//   "object": "chat.completion",
//   "created": 1677858242,
//   "model": "gpt-3.5-turbo-0301",
//   "usage": {
//     "prompt_tokens": 13,
//     "completion_tokens": 7,
//     "total_tokens": 20
//   },
//   "choices": [
//     {
//       "message": {
//         "role": "assistant",
//         "content": "\n\nThis is a test!"
//       },
//       "finish_reason": "stop",
//       "index": 0
//     }
//   ]
// }

// Sample code for parsing the JSON response...
// Use the following online tool to generate parsing code from sample JSON:
// Generate Parsing Code from JSON

var Role;
var Content;
var finish_reason;
var index;

var id = jResp.StringOf("id");
var v_object = jResp.StringOf("object");
var created = jResp.IntOf("created");
var model = jResp.StringOf("model");
var Prompt_tokens = jResp.IntOf("usage.prompt_tokens");
var Completion_tokens = jResp.IntOf("usage.completion_tokens");
var Total_tokens = jResp.IntOf("usage.total_tokens");
var i = 0;
var count_i = jResp.SizeOfArray("choices");
while (i < count_i) {
    jResp.I = i;
    Role = jResp.StringOf("choices[i].message.role");
    Content = jResp.StringOf("choices[i].message.content");
    finish_reason = jResp.StringOf("choices[i].finish_reason");
    index = jResp.IntOf("choices[i].index");
    i = i+1;
}