Plug-In: Outline the Clipboard

REQUIRES: macOS 26, iOS 26, iPados 26, visionOS 26 • OmniOutliner 6.0+
This plug-in uses the on-device Apple Foundation Models (AFM) frameworks and AI Tools to generate an outline summary of the clipboard text in OmniOutliner.
AI • Outline the Clipboard
  

/*{
	"type": "action",
	"targets": ["omnioutliner"],
	"author": "Otto Automator",
	"identifier": "com.omni-automation.oo.summary-points-from-clipboard",
	"version": "1.0",
	"description": "This plug-in uses the Apple Foundation Models framework, and the “Omni AI Tools Library” to generate an outline of the key summary points from the text content on the clipboard.",
	"label": "AI • Outline Clipboard",
	"shortLabel": "Clip Outline",
	"paletteLabel": "Clip Outline",
	"image": "apple.intelligence"
}*/
(() => {
	const getClipboardTextTool = function(){
		console.log("getClipboardTextTool() function called");
        
		toolObject = new LanguageModel.Tool(
			"getClipboardText", 
			"This tool is used to extract the text from the general clipboard.", 
			null, 
			async () => {
				console.log("getClipboardText…")
				clipboardText = Pasteboard.general.string
				if(clipboardText){console.log(clipboardText)}
				return clipboardText
			}
		);
		console.log("“getClipboardText” tool created");

		return toolObject;
	}

	const action = new PlugIn.Action(async function(selection, sender){
		try {
		
/* 			USE IF AI TOOL IS LOADED FROM INSTALLED LIBRARY

			// LOCATE AND LOAD THE AI TOOLS LIBRARY
			const AILibraryPlugIn = PlugIn.find("com.omni-automation.all.ai-tools-library")
			if (!AILibraryPlugIn){throw new Error("The “AI Tools Library” plug-in is not installed.")}
			const AILibrary = AILibraryPlugIn.library(AILibraryPlugIn.displayName)
			console.log("AI Lib Version:", AILibrary.version.versionString)
			
			// INSTANTIATE CLIPBOARD TOOL
			const AITool = AILibrary.getClipboardTextTool()
*/		
			
			// INSTANTIATE CLIPBOARD TOOL
			const AITool = getClipboardTextTool()
			
			// AFM SESSION WITH TOOL
			const session = LanguageModel.Session.withTools(
				[AITool], 
				null
			)
			
			// PROMPT
			const prompt = "The text on the clipboard needs to be summarized into key points. Each point should be concise and accurately reflect the main ideas of the original text."
			
			// RESPONSE SCHEMA
			const resultSchema = LanguageModel.Schema.fromJSON({
				name: "summary-points-schema",
				properties: [
					{
						name: "result",
						schema: {
							arrayOf: {
								type: "string"
							}
						}
					}
				]
			})
			
			// ACTIVATE THE SESSION
			const responseStr = await session.respondWithSchema(
				prompt, 
				resultSchema
			)
			
			// PROCESS RESULT
			console.log(responseStr)
			const responseObj = JSON.parse(responseStr)
			console.log(responseObj.result)
			
			// PROMPT USER FOR CONTENT DESTINATION
			alertTitle = "Outline is Ready"
			alertMessage = "The text has been summarized."
			alert = new Alert(alertTitle, alertMessage)
			alert.addOption("Create New Outline")
			alert.addOption("Append to Outline")
			alert.addOption("Cancel")
			buttonIndex = await alert.show()
			if (buttonIndex === 0){
				console.log("New")
				Document.makeNewAndShow(newDoc => {
					baseItem = newDoc.editors[0].rootNode.object
					for (responseItem of responseObj.result){
						baseItem.addChild(null, item => {item.topic = responseItem})
					}
				})				
			} else if (buttonIndex === 1){
				console.log("Append")
				baseItem = document.editors[0].rootNode.object
				for (responseItem of responseObj.result){
					baseItem.addChild(null, item => {item.topic = responseItem})
				}
			} else {
				console.log("user cancelled")
			}
		}
		catch(err){
			if(!err.causedByUserCancelling){
				await new Alert(err.name, err.message).show()
			}
		}
	});

	action.validate = function(selection, sender){
		return (Pasteboard.general.hasStrings)
	};
	
	return action;
})();