PowerBuilder

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. PowerBuilder

integer li_rc
integer li_Success
oleobject loo_Ai
string ls_SystemMsg
string ls_DeveloperMsg
string ls_ConversationName
oleobject loo_SbResponse
oleobject loo_Json

li_Success = 0

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

loo_Ai = create oleobject
li_rc = loo_Ai.ConnectToNewObject("Chilkat.Ai")
if li_rc < 0 then
    destroy loo_Ai
    MessageBox("Error","Connecting to COM object failed")
    return
end if

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

// Use your provider's API key.
loo_Ai.ApiKey = "MY_API_KEY"

// Choose a model.
loo_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.
ls_SystemMsg = "You are a helpful assistant"
ls_DeveloperMsg = ""
ls_ConversationName = "test_conversation"
loo_Ai.NewConvo(ls_ConversationName,ls_SystemMsg,ls_DeveloperMsg)

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

// Ask the AI for text output.
li_Success = loo_Ai.Ask("text")
if li_Success = 0 then
    Write-Debug loo_Ai.LastErrorText
    destroy loo_Ai
    return
end if

// 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.
loo_SbResponse = create oleobject
li_rc = loo_SbResponse.ConnectToNewObject("Chilkat.StringBuilder")

loo_Ai.GetOutputTextSb(loo_SbResponse)
Write-Debug loo_SbResponse.GetAsString()
Write-Debug "----"

// Sample output:

// The word is **BlubberFish**.

// -------------------------------------------------------------------------------------------
// Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
loo_Ai.InputAddText("OK, I'm going to ask you again, what's the word?")
li_Success = loo_Ai.Ask("text")
if li_Success = 0 then
    Write-Debug loo_Ai.LastErrorText
    destroy loo_Ai
    destroy loo_SbResponse
    return
end if

// Get the text response.
loo_SbResponse.Clear()
loo_Ai.GetOutputTextSb(loo_SbResponse)
Write-Debug loo_SbResponse.GetAsString()

// Sample output:

// The word is **BlubberFish**.

// -------------------------------------------------------------------------------------------
// Look at the conversation so far...
// 
loo_Json = create oleobject
li_rc = loo_Json.ConnectToNewObject("Chilkat.JsonObject")

loo_Ai.ExportConvo(ls_ConversationName,loo_Json)
loo_Json.EmitCompact = 0
Write-Debug loo_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.

loo_Ai.SelectedConvo = ""

loo_Ai.InputAddText("OK, I'm going to ask you again, what's the word?")
li_Success = loo_Ai.Ask("text")
if li_Success = 0 then
    Write-Debug loo_Ai.LastErrorText
    destroy loo_Ai
    destroy loo_SbResponse
    destroy loo_Json
    return
end if

// Get the text response.
loo_SbResponse.Clear()
loo_Ai.GetOutputTextSb(loo_SbResponse)
Write-Debug loo_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!


destroy loo_Ai
destroy loo_SbResponse
destroy loo_Json