Dart

OpenAI (ChatGPT) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY. Dart

import 'package:chilkat/chilkat.dart';

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

  final http = 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
  // }

  final json = 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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';

  final resp = CkHttpResponse();
  try {
    http.httpJson('POST', 'https://api.openai.com/v1/chat/completions', json, 'application/json', resp);
  } on ChilkatException catch (e) {
    print(e.lastErrorText);
    return;
  }

  final sbResponseBody = CkStringBuilder();
  resp.getBodySb(sbResponseBody);

  final jResp = CkJsonObject();
  jResp.loadSb(sbResponseBody);
  jResp.emitCompact = false;

  print('Response Body:');
  print(jResp.emit());

  final respStatusCode = resp.statusCode;
  print('Response Status Code = $respStatusCode');
  if (respStatusCode >= 400) {
    print('Response Header:');
    print(resp.header);
    print('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 finishReason = '';
  var index = 0;

  final id = jResp.stringOf('id');
  final vObject = jResp.stringOf('object');
  final created = jResp.intOf('created');
  final model = jResp.stringOf('model');
  final promptTokens = jResp.intOf('usage.prompt_tokens');
  final completionTokens = jResp.intOf('usage.completion_tokens');
  final totalTokens = jResp.intOf('usage.total_tokens');
  var i = 0;
  final countI = jResp.sizeOfArray('choices');
  while (i < countI) {
    jResp.i = i;
    role = jResp.stringOf('choices[i].message.role');
    content = jResp.stringOf('choices[i].message.content');
    finishReason = jResp.stringOf('choices[i].finish_reason');
    index = jResp.intOf('choices[i].index');
    i++;
  }
}