(Delphi ActiveX) OpenAI (ChatGTP) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY.

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

Chilkat for Delphi Downloads Chilkat ActiveX DLL for Delphi Chilkat non-ActiveX DLL for Delphi * The examples here use the ActiveX DLL.

uses
    Winapi.Windows, Winapi.Messages, System.SysUtils, System.Variants, System.Classes, Vcl.Graphics,
    Vcl.Controls, Vcl.Forms, Vcl.Dialogs, Vcl.StdCtrls, Chilkat_TLB;

...

procedure TForm1.Button1Click(Sender: TObject);
var
http: TChilkatHttp;
success: Integer;
json: TChilkatJsonObject;
resp: IChilkatHttpResponse;
sbResponseBody: TChilkatStringBuilder;
jResp: TChilkatJsonObject;
respStatusCode: Integer;
Role: WideString;
Content: WideString;
finish_reason: WideString;
index: Integer;
id: WideString;
v_object: WideString;
created: Integer;
model: WideString;
Prompt_tokens: Integer;
Completion_tokens: Integer;
Total_tokens: Integer;
i: Integer;
count_i: Integer;

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

http := TChilkatHttp.Create(Self);

// 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
// }

json := TChilkatJsonObject.Create(Self);
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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';
http.SetRequestHeader('Content-Type','application/json');

resp := http.PostJson3('https://api.openai.com/v1/chat/completions','application/json',json.ControlInterface);
if (http.LastMethodSuccess = 0) then
  begin
    Memo1.Lines.Add(http.LastErrorText);
    Exit;
  end;

sbResponseBody := TChilkatStringBuilder.Create(Self);
resp.GetBodySb(sbResponseBody.ControlInterface);

jResp := TChilkatJsonObject.Create(Self);
jResp.LoadSb(sbResponseBody.ControlInterface);
jResp.EmitCompact := 0;

Memo1.Lines.Add('Response Body:');
Memo1.Lines.Add(jResp.Emit());

respStatusCode := resp.StatusCode;
Memo1.Lines.Add('Response Status Code = ' + IntToStr(respStatusCode));
if (respStatusCode >= 400) then
  begin
    Memo1.Lines.Add('Response Header:');
    Memo1.Lines.Add(resp.Header);
    Memo1.Lines.Add('Failed.');

    Exit;
  end;

// 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

id := jResp.StringOf('id');
v_object := jResp.StringOf('object');
created := jResp.IntOf('created');
model := jResp.StringOf('model');
Prompt_tokens := jResp.IntOf('usage.prompt_tokens');
Completion_tokens := jResp.IntOf('usage.completion_tokens');
Total_tokens := jResp.IntOf('usage.total_tokens');
i := 0;
count_i := jResp.SizeOfArray('choices');
while i < count_i do
  begin
    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;
  end;
end;