Java

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. Java

import com.chilkatsoft.*;

public class ChilkatExample {

  static {
    try {
        System.loadLibrary("chilkat");
    } catch (UnsatisfiedLinkError e) {
      System.err.println("Native code library failed to load.\n" + e);
      System.exit(1);
    }
  }

  public static void main(String argv[])
  {
    boolean success = false;

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

    CkAi ai = new CkAi();

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

    // Use your provider's API key.
    ai.put_ApiKey("MY_API_KEY");

    // Choose a model.
    ai.put_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.
    String systemMsg = "You are a helpful assistant";
    String developerMsg = "";
    String 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) {
        System.out.println(ai.lastErrorText());
        return;
        }

    // 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.
    CkStringBuilder sbResponse = new CkStringBuilder();
    ai.GetOutputTextSb(sbResponse);
    System.out.println(sbResponse.getAsString());
    System.out.println("----");

    // 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) {
        System.out.println(ai.lastErrorText());
        return;
        }

    // Get the text response.
    sbResponse.Clear();
    ai.GetOutputTextSb(sbResponse);
    System.out.println(sbResponse.getAsString());

    // Sample output:

    // The word is **BlubberFish**.

    // -------------------------------------------------------------------------------------------
    // Look at the conversation so far...
    // 
    CkJsonObject json = new CkJsonObject();
    ai.ExportConvo(conversationName,json);
    json.put_EmitCompact(false);
    System.out.println(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.put_SelectedConvo("");

    ai.InputAddText("OK, I'm going to ask you again, what's the word?");
    success = ai.Ask("text");
    if (success == false) {
        System.out.println(ai.lastErrorText());
        return;
        }

    // Get the text response.
    sbResponse.Clear();
    ai.GetOutputTextSb(sbResponse);
    System.out.println(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!
  }
}