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      (PowerShell) Prove Stateful Multi-Turn ConversationSee more AI ExamplesThis 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. 
 Add-Type -Path "C:\chilkat\ChilkatDotNet47-x64\ChilkatDotNet47.dll" $success = $false # This example assumes the Chilkat API to have been previously unlocked. # See Global Unlock Sample for sample code. $ai = New-Object 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" $ai.NewConvo($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 -eq $false) { $($ai.LastErrorText) exit } # 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 = New-Object Chilkat.StringBuilder $ai.GetOutputTextSb($sbResponse) $($sbResponse.GetAsString()) $("----") # 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 -eq $false) { $($ai.LastErrorText) exit } # Get the text response. $sbResponse.Clear() $ai.GetOutputTextSb($sbResponse) $($sbResponse.GetAsString()) # Sample output: # The word is **BlubberFish**. # ------------------------------------------------------------------------------------------- # Look at the conversation so far... # $json = New-Object Chilkat.JsonObject $ai.ExportConvo($conversationName,$json) $json.EmitCompact = $false $($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 -eq $false) { $($ai.LastErrorText) exit } # Get the text response. $sbResponse.Clear() $ai.GetOutputTextSb($sbResponse) $($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!  | 
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