Chilkat2-Python

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. Chilkat2-Python

import sys
import chilkat2

success = False

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

ai = chilkat2.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 == 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 = chilkat2.StringBuilder()
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 = chilkat2.JsonObject()
ai.ExportConvo(conversationName,json)
json.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.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!