Pascal (Lazarus/Delphi)
Pascal (Lazarus/Delphi)
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.Chilkat Pascal (Lazarus/Delphi) Downloads
program ChilkatDemo;
// Demonstrates using the Chilkat Pascal wrapper via the C bridge DLL.
// Builds as a console application under Lazarus (FPC) or Delphi.
{$IFDEF FPC}
{$MODE DELPHI}
{$ENDIF}
{$APPTYPE CONSOLE}
uses
{$IFDEF UNIX}
cthreads,
{$ENDIF}
SysUtils,
CkDllLoader,
Chilkat.StringBuilder,
Chilkat.Ai,
Chilkat.JsonObject;
// ---------------------------------------------------------------------------
procedure RunDemo;
var
success: Boolean;
ai: TAi;
systemMsg: string;
developerMsg: string;
conversationName: string;
sbResponse: TStringBuilder;
json: TJsonObject;
begin
success := False;
// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
ai := TAi.Create;
// 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 = False) then
begin
WriteLn(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 := TStringBuilder.Create;
ai.GetOutputTextSb(sbResponse);
WriteLn(sbResponse.GetAsString());
WriteLn('----');
// 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 = False) then
begin
WriteLn(ai.LastErrorText);
Exit;
end;
// Get the text response.
sbResponse.Clear();
ai.GetOutputTextSb(sbResponse);
WriteLn(sbResponse.GetAsString());
// Sample output:
// The word is **BlubberFish**.
// -------------------------------------------------------------------------------------------
// Look at the conversation so far...
//
json := TJsonObject.Create;
ai.ExportConvo(conversationName,json);
json.EmitCompact := False;
WriteLn(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 = False) then
begin
WriteLn(ai.LastErrorText);
Exit;
end;
// Get the text response.
sbResponse.Clear();
ai.GetOutputTextSb(sbResponse);
WriteLn(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!
ai.Free;
sbResponse.Free;
json.Free;
end;
// ---------------------------------------------------------------------------
begin
try
RunDemo;
except
on E: Exception do
WriteLn('Unhandled exception: ', E.ClassName, ': ', E.Message);
end;
WriteLn;
{$IFDEF MSWINDOWS}
WriteLn('Press Enter to exit...');
ReadLn;
{$ENDIF}
end.