SnarkyDeveloper · January 4, 2026 00:08
diff --git a/helper.js b/helper.js
 (function() {
  "use strict";
  let messages = [];
  const baseUrl = 'https://text.pollinations.ai/';
  const system =
    'You are a simple browser agent model that returns short answers to the user, consise and simple. Selections by user in browser will be indicated by SELECTION[text], where text is what is currently selected. You will not bring up specific things like SELECTION[text]';

  function toMessage(role, content, image_blob=undefined) {
    if (image_blob) {
      let r = { role: role, content: [{type: "text", text: content}] };
      r.content.push({
        type: "image_url",
        image_url: {
          url: `data:image/jpeg;base64,${image_blob}`
        }
      });
      return r;
    }
    return { role: role, content: content };
  }

  function truncate(str) {
    if (str.length <= 150) {
      return str;
    } else {
      return str.slice(0, 147) + '...';
    }
  }

  async function ask() {
    let m = '';
    messages.forEach(msg => {
      let c = msg.content.replace(/SELECTION\[.*?\\\]/g, "");
      m += `${(str => str.charAt(0).toUpperCase() + str.slice(1))(msg.role)}: ${truncate(c)}\n`;
    });

    m += '========================\nWhat would you like to ask?\n(#[page] to attach page screenshot)';
     if (m.length > 1000) {
        m.slice(-1000); // ret last 1000 characters
    }

    let question = prompt(m);
    if (question === null || question === "") {
      return;
    }
    if (window.getSelection().toString() !== '') {
      question += `SELECTION[${window.getSelection().toString().trimEnd()}\\]`;
    }
    let img;

    if (question.includes('#[page]')) {
        if (window.html2canvas === undefined) {
            const r = await fetch("https://cdn.jsdelivr.net/npm/html2canvas-pro@1.5.13/dist/html2canvas-pro.min.js").catch(e => { throw new Error(`Error occurred While Fetching html2canvas-pro, check cors? ${e}`) });
            const code = await r.text();
            eval(code);
        }

        const canvas = await html2canvas(document.body, {
            x: window.scrollX,
            y: window.scrollY,
            width: window.innerWidth,
            height: window.innerHeight,
            scale: 0.5, // COMPRESSIONNNN 🤑 
            backgroundColor: "#fff",
            useCORS: true,
            logging: false
          }).catch(e => { throw new Error(`Error occurred while taking a screenshot: ${e}`) })
          img = canvas.toDataURL("image/jpeg", 0.45).split(",")[1];
    }
    const payload = {
      model: 'openai',
      messages: [{ role: 'system', content: system }, toMessage("user", question, img)].concat(messages),
      max_tokens: 350,
      stream: false,
    };

    fetch(baseUrl, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(payload),
    })
      .then(r => {
        if (!r.ok) {
          throw new Error(`Error: ${r.stausText}, Code: ${r.statusCode})`);
        }
        let text = r.text();
        messages.push(toMessage("user", question));
        text.then(s => {
          messages.push(toMessage("assistant", s))
          alert(`Assistant:\n${s}`)
        })
      })
      .catch(e => {
        throw new Error(`Error occurred while trying to ask pollinations: ${e}`)
      });
  }

  function handleAltAKeyPress(event) {
    const isAltPressed = event.altKey;
    const isAPressed = event.key === 'a' || event.key === 'A';

    if (isAltPressed && isAPressed) {
      event.preventDefault();
      ask().catch(e => { console.error(e); alert(`An Error Occured! \nTrace: ${e}`); });
    }
  }
  document.addEventListener('keydown', handleAltAKeyPress);
 })();
diff --git a/helper.min.js b/helper.min.js
 !function(){"use strict";let messages=[],baseUrl="https://text.pollinations.ai/",system="You are a simple browser agent model that returns short answers to the user, consise and simple. Selections by user in browser will be indicated by SELECTION[text], where text is what is currently selected. You will not bring up specific things like SELECTION[text]";function toMessage(t,e,n){if(n){let r={role:t,content:[{type:"text",text:e}]};return r.content.push({type:"image_url",image_url:{url:`data:image/jpeg;base64,${n}`}}),r}return{role:t,content:e}}function truncate(t){return t.length<=150?t:t.slice(0,147)+"..."}async function ask(){let m="";messages.forEach(t=>{var e;m+=`${(e=t.role).charAt(0).toUpperCase()+e.slice(1)}: ${truncate(t.content.replace(/SELECTION\[.*?\\\]/g,""))}`}),(m+="========================\nWhat would you like to ask?\n(#[page] to attach page screenshot)").length>1e3&&m.slice(-1e3);let question=prompt(m);if(null===question||""===question)return;""!==window.getSelection().toString()&&(question+=%60SELECTION[${window.getSelection().toString().trimEnd()}\\]%60);let img;if(question.includes("#[page]")){if(void 0===window.html2canvas){let r=await fetch("https://cdn.jsdelivr.net/npm/html2canvas-pro@1.5.13/dist/html2canvas-pro.min.js").catch(t=>{throw Error(%60Error occurred While Fetching html2canvas-pro, check cors? ${t}%60)}),code=await r.text();eval(code)}let canvas=await html2canvas(document.body,{x:window.scrollX,y:window.scrollY,width:window.innerWidth,height:window.innerHeight,scale:.5,backgroundColor:"#fff",useCORS:!0,logging:!1}).catch(t=>{throw Error(%60Error occurred while taking a screenshot: ${t}%60)});img=canvas.toDataURL("image/jpeg",.45).split(",")[1]}let payload={model:"openai",messages:[{role:"system",content:system},toMessage("user",question,img)].concat(messages),max_tokens:350,stream:!1};fetch(baseUrl,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify(payload)}).then(t=>{if(!t.ok)throw Error(%60Error: ${t.stausText}, Code: ${t.statusCode})%60);let e=t.text();messages.push(toMessage("user",question)),e.then(t=>{messages.push(toMessage("assistant",t)),alert(%60Assistant:${t}%60)})}).catch(t=>{throw Error(%60Error occurred while trying to ask pollinations: ${t}%60)})}function handleAltAKeyPress(t){let e=t.altKey,n="a"===t.key||"A"===t.key;e&&n&&(t.preventDefault(),ask().catch(t=>{console.error(t),alert(%60An Error Occured! Trace: ${t}%60)}))}document.addEventListener("keydown",handleAltAKeyPress)}();
diff --git a/tutorial.md b/tutorial.md
	(function() {
	"use strict";
	let messages = [];
	const baseUrl = 'https://text.pollinations.ai/';
	const system =
	'You are a simple browser agent model that returns short answers to the user, consise and simple. Selections by user in browser will be indicated by SELECTION[text], where text is what is currently selected. You will not bring up specific things like SELECTION[text]';

	function toMessage(role, content, image_blob=undefined) {
	if (image_blob) {
	let r = { role: role, content: [{type: "text", text: content}] };
	r.content.push({
	type: "image_url",
	image_url: {
	url: `data:image/jpeg;base64,${image_blob}`
	}
	});
	return r;
	}
	return { role: role, content: content };
	}

	function truncate(str) {
	if (str.length <= 150) {
	return str;
	} else {
	return str.slice(0, 147) + '...';
	}
	}

	async function ask() {
	let m = '';
	messages.forEach(msg => {
	let c = msg.content.replace(/SELECTION\[.*?\\\]/g, "");
	m += `${(str => str.charAt(0).toUpperCase() + str.slice(1))(msg.role)}: ${truncate(c)}\n`;
	});

	m += '========================\nWhat would you like to ask?\n(#[page] to attach page screenshot)';
	if (m.length > 1000) {
	m.slice(-1000); // ret last 1000 characters
	}

	let question = prompt(m);
	if (question === null \|\| question === "") {
	return;
	}
	if (window.getSelection().toString() !== '') {
	question += `SELECTION[${window.getSelection().toString().trimEnd()}\\]`;
	}
	let img;

	if (question.includes('#[page]')) {
	if (window.html2canvas === undefined) {
	const r = await fetch("https://cdn.jsdelivr.net/npm/html2canvas-pro@1.5.13/dist/html2canvas-pro.min.js").catch(e => { throw new Error(`Error occurred While Fetching html2canvas-pro, check cors? ${e}`) });
	const code = await r.text();
	eval(code);
	}

	const canvas = await html2canvas(document.body, {
	x: window.scrollX,
	y: window.scrollY,
	width: window.innerWidth,
	height: window.innerHeight,
	scale: 0.5, // COMPRESSIONNNN 🤑
	backgroundColor: "#fff",
	useCORS: true,
	logging: false
	}).catch(e => { throw new Error(`Error occurred while taking a screenshot: ${e}`) })
	img = canvas.toDataURL("image/jpeg", 0.45).split(",")[1];
	}
	const payload = {
	model: 'openai',
	messages: [{ role: 'system', content: system }, toMessage("user", question, img)].concat(messages),
	max_tokens: 350,
	stream: false,
	};

	fetch(baseUrl, {
	method: 'POST',
	headers: { 'Content-Type': 'application/json' },
	body: JSON.stringify(payload),
	})
	.then(r => {
	if (!r.ok) {
	throw new Error(`Error: ${r.stausText}, Code: ${r.statusCode})`);
	}
	let text = r.text();
	messages.push(toMessage("user", question));
	text.then(s => {
	messages.push(toMessage("assistant", s))
	alert(`Assistant:\n${s}`)
	})
	})
	.catch(e => {
	throw new Error(`Error occurred while trying to ask pollinations: ${e}`)
	});
	}

	function handleAltAKeyPress(event) {
	const isAltPressed = event.altKey;
	const isAPressed = event.key === 'a' \|\| event.key === 'A';

	if (isAltPressed && isAPressed) {
	event.preventDefault();
	ask().catch(e => { console.error(e); alert(`An Error Occured! \nTrace: ${e}`); });
	}
	}
	document.addEventListener('keydown', handleAltAKeyPress);
	})();
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