(Classic ASP) 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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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body>
<%
success = 0

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

set ai = Server.CreateObject("Chilkat.Ai")

' 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"
success = 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.
success = 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
    Response.Write "<pre>" & Server.HTMLEncode( ai.LastErrorText) & "</pre>"
    Response.End
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.
set sbResponse = Server.CreateObject("Chilkat.StringBuilder")
success = ai.GetOutputTextSb(sbResponse)
Response.Write "<pre>" & Server.HTMLEncode( sbResponse.GetAsString()) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( "----") & "</pre>"

' Sample output:

' The word is **BlubberFish**.

' -------------------------------------------------------------------------------------------
' Let's ask for the word. If this is a stateful conversation, the AI should respond correctly.
success = ai.InputAddText("OK, I'm going to ask you again, what's the word?")
success = ai.Ask("text")
If (success = 0) Then
    Response.Write "<pre>" & Server.HTMLEncode( ai.LastErrorText) & "</pre>"
    Response.End
End If

' Get the text response.
sbResponse.Clear 
success = ai.GetOutputTextSb(sbResponse)
Response.Write "<pre>" & Server.HTMLEncode( sbResponse.GetAsString()) & "</pre>"

' Sample output:

' The word is **BlubberFish**.

' -------------------------------------------------------------------------------------------
' Look at the conversation so far...
' 
set json = Server.CreateObject("Chilkat.JsonObject")
success = ai.ExportConvo(conversationName,json)
json.EmitCompact = 0
Response.Write "<pre>" & Server.HTMLEncode( json.Emit()) & "</pre>"

' 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 = ""

success = ai.InputAddText("OK, I'm going to ask you again, what's the word?")
success = ai.Ask("text")
If (success = 0) Then
    Response.Write "<pre>" & Server.HTMLEncode( ai.LastErrorText) & "</pre>"
    Response.End
End If

' Get the text response.
sbResponse.Clear 
success = ai.GetOutputTextSb(sbResponse)
Response.Write "<pre>" & Server.HTMLEncode( sbResponse.GetAsString()) & "</pre>"

' 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!

%>
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