Ruby

AI: Simple Conversation

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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. Ruby

require 'chilkat'

success = false

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

ai = Chilkat::CkAi.new()

#  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("claude")

#  Use your provider's API key.
ai.put_ApiKey("MY_API_KEY")

#  Choose a model.
ai.put_Model("claude-opus-5")

#  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() + "\n";
    exit
end

#  Get the text response.
sbResponse = Chilkat::CkStringBuilder.new()
ai.GetOutputTextSb(sbResponse)
print sbResponse.getAsString() + "\n";
print "----" + "\n";

#  -------------------------------------------------------------
#  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() + "\n";
    exit
end

#  Get the text response.
sbResponse.Clear()
ai.GetOutputTextSb(sbResponse)
print sbResponse.getAsString() + "\n";

#  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 = Chilkat::CkJsonObject.new()
ai.ExportConvo(conversationName,json)
json.put_EmitCompact(false)
print json.emit() + "\n";

#  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. 🏔️"
#          }
#        ]
#      }
#    ]
#  }