(Visual FoxPro) Automatic JavaScript AI Tool Returning an Array

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• Tool function implementations are in JavaScript.
• The JavaScript also provides a tool registry and permissions.
• The JavaScript runs embedded within your application using Chilkat.Js.
• Tool calls are handled entirely within Chilkat. Your application does not need to manually check for function calls in the AI response. Internal to the Ask function, Chilkat will handle function calls by calling your registered JavaScript tools and will send results back to the AI model until the final response is received.

Note: This example requires Chilkat v11.4.0 or greater.

For more information, see https://www.chilkatsoft.com/ai_javascript_tool_function_calling.asp

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LOCAL lnSuccess
LOCAL loSbJs
LOCAL loAi
LOCAL lnEvalOnly
LOCAL lnAllowAllKeyword
LOCAL lcConversation_name
LOCAL lcSysMessage
LOCAL lcDevMessage
LOCAL loSbResponse

lnSuccess = 0

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

* In this example, we'll load the Javascript tool functions and registry from a file.
* It doesn't need to come from a file.  It could just as easily be loaded from a string.
loSbJs = CreateObject('Chilkat.StringBuilder')
lnSuccess = loSbJs.LoadFile("qa_data/js_tools/toolset_3.js","utf-8")
IF (lnSuccess = 0) THEN
    ? loSbJs.LastErrorText
    RELEASE loSbJs
    CANCEL
ENDIF

loAi = CreateObject('Chilkat.Ai')

* Register the tools that will be made available to the AI.
lnEvalOnly = 0
lnAllowAllKeyword = 1
loAi.RegisterJsTools(loSbJs,lnEvalOnly,lnAllowAllKeyword)

* The provider can be "openai", "google", "claude", "grok", "mistral", "custom", etc.
loAi.Provider = "openai"
* Use your provider's API key.
loAi.ApiKey = "MY_API_KEY"
* Choose a model.
loAi.Model = "gpt-5-mini"

* Tool function calling must always occur within a conversation.
lcConversation_name = "convo_3"
lcSysMessage = "You are a helpful system admin"
lcDevMessage = "Respond only with markdown."
loAi.NewConvo(lcConversation_name,lcSysMessage,lcDevMessage)

* Provide inputs
loAi.InputAddText("List the files in the directory c:/temp/abc")

* 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.
lnSuccess = loAi.Ask("text")
IF (lnSuccess = 0) THEN
    ? loAi.LastErrorText
    RELEASE loSbJs
    RELEASE loAi
    CANCEL
ENDIF

* Get the AI response.
loSbResponse = CreateObject('Chilkat.StringBuilder')
loAi.GetOutputTextSb(loSbResponse)
? loSbResponse.GetAsString()

RELEASE loSbJs
RELEASE loAi
RELEASE loSbResponse

// 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.

// By grouping list_files, toolRegistry, and toolPermissions under the Example object, 
// you are "namespacing" them. This tells anyone reading the code (and the JavaScript engine itself) 
// that these tools belong together and prevents them from clashing with another function that might 
// also be named list_files. 

Example.list_files = function(arg) {
  return [
    "report.pdf",
    "notes.txt",
    "image.png"
  ];
}

// The inputSchema.type must ALWAYS be "object".
Example.toolRegistry = [
  {
    name: "list_files",
    description: "List files in a directory",
    parameters: {
      properties: {
        path: { type: "string", description: "Directory path" },
      }
    }
  }
];


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