Chilkat2-Python

AI: Simple Conversation

See more AI Examples

Initiates a conversation and sends two requests. The second request includes the transcript of the messages between the user and assistant from the first 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 = "claude"

# Use your provider's API key.
ai.ApiKey = "MY_API_KEY"

# Choose a model.
ai.Model = "claude-opus-4-1-20250805"

# 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 = "Respond only with markdown"
conversationName = "test_conversation"
ai.NewConvo(conversationName,systemMsg,developerMsg)

# -------------------------------------------------------------------------------------------
# Make the first request...
# Add a text input.
ai.InputAddText("Say Hello")

# Ask the AI for text output.
success = ai.Ask("text")
if (success == False):
    print(ai.LastErrorText)
    sys.exit()

# Get the text response.
sbResponse = chilkat2.StringBuilder()
ai.GetOutputTextSb(sbResponse)
print(sbResponse.GetAsString())
print("----")

# -------------------------------------------------------------
# The response is in markdown format.
# Also see Markdown to HTML Conversion Examples.
# -------------------------------------------------------------

# Sample output:

# # Hello! 👋
# ## Welcome!
# It's **great** to meet you. How can I *assist* you today?
# ---
# Feel free to ask me anything, and I'll respond in `markdown` format.

# -------------------------------------------------------------------------------------------
# Send the 2nd request in the conversation.
ai.InputAddText("Thanks for saying Hello. Please give me a 2 sentence bit of wisdom from Confucious.")
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:

# ## Wisdom from Confucius
# > *"The man who moves a mountain begins by carrying away small stones. It does not matter how slowly you go as long as you do not stop."*
# These words remind us that **persistence** and **patience** are the keys to achieving even the most daunting goals. 🏔️

# -------------------------------------------------------------------------------------------
# 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": "developer",
#       "content": [
#         {
#           "type": "input_text",
#           "text": "Respond only with markdown"
#         }
#       ]
#     },
#     {
#       "role": "user",
#       "content": [
#         {
#           "type": "input_text",
#           "text": "Say Hello"
#         }
#       ]
#     },
#     {
#       "role": "assistant",
#       "content": [
#         {
#           "type": "output_text",
#           "text": "# Hello! 👋\n\n**Welcome!** It's *great* to meet you.\n\nHow can I assist you today?"
#         }
#       ]
#     },
#     {
#       "role": "user",
#       "content": [
#         {
#           "type": "input_text",
#           "text": "Thanks for saying Hello. Please give me a 2 sentence bit of wisdom from Confucious."
#         }
#       ]
#     },
#     {
#       "role": "assistant",
#       "content": [
#         {
#           "type": "output_text",
#           "text": "## Wisdom from Confucius\n\n> *\"The man who moves a mountain begins by carrying away small stones. It does not matter how slowly you go as long as you do not stop.\"*\n\nThese words remind us that **persistence** and **patience** are the keys to achieving even the most daunting goals. 🏔️"
#         }
#       ]
#     }
#   ]
# }