(Go) 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.

Note: This example requires Chilkat v11.2.0 or greater.

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    success := false

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

    ai := Ai_Ref.html">chilkat.NewAi()

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

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

    // Choose a model.
    ai.SetModel("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 {
        fmt.Println(ai.LastErrorText())
        ai.DisposeAi()
        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.
    sbResponse := StringBuilder_Ref.html">chilkat.NewStringBuilder()
    ai.GetOutputTextSb(sbResponse)
    fmt.Println(*sbResponse.GetAsString())
    fmt.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 {
        fmt.Println(ai.LastErrorText())
        ai.DisposeAi()
        sbResponse.DisposeStringBuilder()
        return
    }

    // Get the text response.
    sbResponse.Clear()
    ai.GetOutputTextSb(sbResponse)
    fmt.Println(*sbResponse.GetAsString())

    // Sample output:

    // The word is **BlubberFish**.

    // -------------------------------------------------------------------------------------------
    // Look at the conversation so far...
    // 
    json := JsonObject_Ref.html">chilkat.NewJsonObject()
    ai.ExportConvo(conversationName,json)
    json.SetEmitCompact(false)
    fmt.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.SetSelectedConvo("")

    ai.InputAddText("OK, I'm going to ask you again, what's the word?")
    success = ai.Ask("text")
    if success == false {
        fmt.Println(ai.LastErrorText())
        ai.DisposeAi()
        sbResponse.DisposeStringBuilder()
        json.DisposeJsonObject()
        return
    }

    // Get the text response.
    sbResponse.Clear()
    ai.GetOutputTextSb(sbResponse)
    fmt.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!

    ai.DisposeAi()
    sbResponse.DisposeStringBuilder()
    json.DisposeJsonObject()