Delphi ActiveX

Prove Stateful Multi-Turn Conversation

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This example is to prove that the 2nd request in a conversation is part of a stateful multi-turn conversation. The 2nd request asks for information provided in the 1st request. Delphi ActiveX

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
success: Integer;
ai: TChilkatAi;
systemMsg: WideString;
developerMsg: WideString;
conversationName: WideString;
sbResponse: TChilkatStringBuilder;
json: TChilkatJsonObject;

begin
success := 0;

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

ai := TChilkatAi.Create(Self);

// The provider can be "openai", "google", "claude", "deepseek", "xai", or "perplexity".
// Support for additional providers will be added in future versions of Chilkat.
ai.Provider := 'google';

// Use your provider's API key.
ai.ApiKey := 'MY_API_KEY';

// Choose a model.
ai.Model := 'gemini-2.5-flash';

// Create a new conversation to be maintained locally in memory.
// If the conversation is the first to be created, it is also automatically selected.
systemMsg := 'You are a helpful assistant';
developerMsg := '';
conversationName := 'test_conversation';
ai.NewConvo(conversationName,systemMsg,developerMsg);

// -------------------------------------------------------------------------------------------
// Our first request will establish a secret that we'll ask for in the 2nd request.
// Add a text input.
ai.InputAddText('Please remember this: The word I''ll ask for later is BlubberFish.  What''s the word?');

// Ask the AI for text output.
success := ai.Ask('text');
if (success = 0) then
  begin
    Memo1.Lines.Add(ai.LastErrorText);
    Exit;
  end;

// Note: The inputs accumulated through one or more calls to Input* methods are cleared when the Ask method returns with success.

// Get the text response.
sbResponse := TChilkatStringBuilder.Create(Self);
ai.GetOutputTextSb(sbResponse.ControlInterface);
Memo1.Lines.Add(sbResponse.GetAsString());
Memo1.Lines.Add('----');

// Sample output:

// The word is **BlubberFish**.

// -------------------------------------------------------------------------------------------
// Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
ai.InputAddText('OK, I''m going to ask you again, what''s the word?');
success := ai.Ask('text');
if (success = 0) then
  begin
    Memo1.Lines.Add(ai.LastErrorText);
    Exit;
  end;

// Get the text response.
sbResponse.Clear();
ai.GetOutputTextSb(sbResponse.ControlInterface);
Memo1.Lines.Add(sbResponse.GetAsString());

// Sample output:

// The word is **BlubberFish**.

// -------------------------------------------------------------------------------------------
// Look at the conversation so far...
// 
json := TChilkatJsonObject.Create(Self);
ai.ExportConvo(conversationName,json.ControlInterface);
json.EmitCompact := 0;
Memo1.Lines.Add(json.Emit());

// Note: The conversation transcript format exported and imported by Chilkat is always the OpenAI format,
// regardless of the AI provider.  (Chilkat translates the format from OpenAI to whatever is needed by the actual AI provider being used.)

// {
//   "input": [
//     {
//       "role": "system",
//       "content": [
//         {
//           "type": "input_text",
//           "text": "You are a helpful assistant"
//         }
//       ]
//     },
//     {
//       "role": "user",
//       "content": [
//         {
//           "type": "input_text",
//           "text": "Please remember this: The word I'll ask for later is BlubberFish.  What's the word?"
//         }
//       ]
//     },
//     {
//       "role": "assistant",
//       "content": [
//         {
//           "type": "output_text",
//           "text": "The word is **BlubberFish**."
//         }
//       ]
//     },
//     {
//       "role": "user",
//       "content": [
//         {
//           "type": "input_text",
//           "text": "OK, I'm going to ask you again, what's the word?"
//         }
//       ]
//     },
//     {
//       "role": "assistant",
//       "content": [
//         {
//           "type": "output_text",
//           "text": "The word is **BlubberFish**."
//         }
//       ]
//     }
//   ]
// }

// -------------------------------------------------------------------------------------------
// If we unselect the conversation, so that no conversation is selected,
// then the same query results in the AI not knowing the word.

ai.SelectedConvo := '';

ai.InputAddText('OK, I''m going to ask you again, what''s the word?');
success := ai.Ask('text');
if (success = 0) then
  begin
    Memo1.Lines.Add(ai.LastErrorText);
    Exit;
  end;

// Get the text response.
sbResponse.Clear();
ai.GetOutputTextSb(sbResponse.ControlInterface);
Memo1.Lines.Add(sbResponse.GetAsString());

// Sample output:

// I apologize, but I don't have the context of our previous interaction or what "the word" you're referring to might be.
// Could you please remind me or provide the clue again? I'm ready to help you figure it out!
end;