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      (CkPython) 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. 
 import sys import chilkat success = False # This example assumes the Chilkat API to have been previously unlocked. # See Global Unlock Sample for sample code. ai = chilkat.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. 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): print(ai.lastErrorText()) sys.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 = chilkat.CkStringBuilder() ai.GetOutputTextSb(sbResponse) print(sbResponse.getAsString()) print("----") # 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): print(ai.lastErrorText()) sys.exit() # Get the text response. sbResponse.Clear() ai.GetOutputTextSb(sbResponse) print(sbResponse.getAsString()) # Sample output: # The word is **BlubberFish**. # ------------------------------------------------------------------------------------------- # Look at the conversation so far... # json = chilkat.CkJsonObject() ai.ExportConvo(conversationName,json) json.put_EmitCompact(False) print(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): print(ai.lastErrorText()) sys.exit() # Get the text response. sbResponse.Clear() ai.GetOutputTextSb(sbResponse) print(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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