PowerBuilder

AI Ask with Multiple Tool Function Callbacks

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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-mini"

// 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