PowerBuilder

AI Ask with Multiple Tool Function Callbacks

See more AI Examples

This example demonstrates asking a two-part question that should cause the AI to respond with two tool call requests. PowerBuilder

integer li_rc
integer li_Success
oleobject loo_SbJs
oleobject loo_Ai
integer li_EvalOnly
integer li_AllowAllKeyword
string ls_Conversation_name
string ls_SysMessage
string ls_DevMessage
oleobject loo_SbResponse

li_Success = 0

//  ----------------------------------------------------------------------------------
//  The Javascript file loaded here is shown at the bottom of this page.
//  -----------------------------------------------------------------------------------

//  Load JavaScript containing the tool functions.
loo_SbJs = create oleobject
li_rc = loo_SbJs.ConnectToNewObject("Chilkat.StringBuilder")
if li_rc < 0 then
    destroy loo_SbJs
    MessageBox("Error","Connecting to COM object failed")
    return
end if
li_Success = loo_SbJs.LoadFile("qa_data/js_tools/toolset_6.js","utf-8")
if li_Success = 0 then
    Write-Debug loo_SbJs.LastErrorText
    destroy loo_SbJs
    return
end if

loo_Ai = create oleobject
li_rc = loo_Ai.ConnectToNewObject("Chilkat.Ai")

//  Register the tools that will be made available to the AI.
li_EvalOnly = 0
li_AllowAllKeyword = 1
loo_Ai.RegisterJsTools(loo_SbJs,li_EvalOnly,li_AllowAllKeyword)

//  The provider can be "openai", "google", "claude", "grok", "mistral", "custom", etc.
loo_Ai.Provider = "openai"
//  Use your provider's API key.
loo_Ai.ApiKey = "MY_API_KEY"
//  Choose a model.
loo_Ai.Model = "gpt-5.6-luna"

//  Tool function calling must always occur within a conversation.
ls_Conversation_name = "example_convo"
ls_SysMessage = "You are a helpful assistant"
ls_DevMessage = "Respond with markdown"
loo_Ai.NewConvo(ls_Conversation_name,ls_SysMessage,ls_DevMessage)

//  Provide inputs
loo_Ai.InputAddText("What is my horoscope? I am an Aquarius.  Also, what's the weather in Chicago?")

//  Send inputs, tool functions, etc. and ask for a "text" response.
//  If the AI responds with tool calls, Chilkat automatically handles them by calling your JavaScript
//  tool functions as directed by the AI, and sending results back to the AI until the final
//  response is received.
li_Success = loo_Ai.Ask("text")
if li_Success = 0 then
    Write-Debug loo_Ai.LastErrorText
    destroy loo_SbJs
    destroy loo_Ai
    return
end if

//  Get the AI response.
loo_SbResponse = create oleobject
li_rc = loo_SbResponse.ConnectToNewObject("Chilkat.StringBuilder")

loo_Ai.GetOutputTextSb(loo_SbResponse)
Write-Debug loo_SbResponse.GetAsString()


destroy loo_SbJs
destroy loo_Ai
destroy loo_SbResponse

JavaScript

// The namespace for the AI tool functions in this JavaScript source file.
Example = {};

// Tool functions must have only one argument, which should be an object.

// The function name used here must match the "name" in the toolRegistry below.
Example.get_weather = function(arg) {
  return {
	  "temperature": 45,
	  "unit": "F",
	  "conditions": "Cloudy"
	};
}

Example.get_horoscope = function(arg) {
  return  `${arg.sign} : Next Tuesday you will befriend a baby otter.`;
}



// The inputSchema.type must ALWAYS be "object".
Example.toolRegistry = [
  {
    name: "get_horoscope",
    description: "Get today's horoscope for an astrological sign.",
    parameters: {
      properties: {
        sign: { type: "string", description: "An astrological sign like Taurus or Aquarius" }
      }
    }
  },
  {
    name: "get_weather",
    description: "Gets the weather at a location.",
    parameters: {
      properties: {
        location: { type: "string", description: "Location such as a city name." },
      }
    }
  }
];


Example.toolPermissions = [
	  {
	    name: "all",
	    perm: "sandbox",
	  }
	  		
	];
	
	
// Return the name of this toolset
// This tells Chilkat the namespace of this toolset.
"Example";