Obsidian AI ✨: Rewrite, Expand, Chat & more with ChatGPT

[tiagorangel1]

This no longer works due to CORS policies

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Introducing Obsidian AI, a template for you to run GPT3, GPT4 and LLAMA (fallback) inside Obsidian. Here are some features: * No API key needed (uses reverse-engineered just like gpt4free) * Uses native selector/prompter * Rewrite * Expand text * Chat directly * Add your custom actions * And much more!

The code is a bit lengthy, here are the steps to install:

1. Create a new template called "ai" with the code below
2. Setup a hotkey for the template in Settings (optional, I like CTRL+M)
3. Done!

Note that as this uses reverse-engineered APIs, it may not work.

Here's the code:

🧑‍💻 Click to show

<%*
const ai = function (prompt) {
  const bai = async function (prompt) {
    const response = await (
      await fetch("https://chatbot.theb.ai/api/chat-process", {
        credentials: "include",
        headers: {
          "User-Agent":
            "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/113.0",
          Accept: "application/json, text/plain, */*",
          "Accept-Language": "pt-PT,pt;q=0.8,en;q=0.5,en-US;q=0.3",
          "Content-Type": "application/json",
          "Sec-Fetch-Dest": "empty",
          "Sec-Fetch-Mode": "cors",
          "Sec-Fetch-Site": "same-origin",
          "Sec-GPC": "1",
        },
        referrer: "https://chatbot.theb.ai/",
        body: '{"prompt":"hi!","options":{"parentMessageId":"chatcmpl-7D8p1tdJrqYJrw6RrbFcV1HKB5IbA"}}',
        method: "POST",
        mode: "cors",
      })
    ).text();
    const ans = JSON.parse(response.split("\n").pop()).text;
    return ans;
  };
  const mcbbs = async function (prompt) {
    var body = JSON.stringify({
      messages: [
        {
          role: "user",
          content: prompt,
        },
      ],
      model: "gpt-3.5-turbo",
      temperature: 0,
      presence_penalty: 2,
    });
    var chat = await (
      await fetch("https://ai.mcbbs.gq/api/openai/v1/chat/completions", {
        headers: {
          accept: "*/*",
          "accept-language": "en-US,en;q=0.9",
          "content-type": "application/json",
          "sec-ch-ua":
            '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
          "sec-ch-ua-platform": '"Windows"',
        },
        referrer: "https://ai.mcbbs.gq/",
        body: body,
        method: "POST",
      })
    ).text();
    return JSON.parse(
      chat.trim().split("\n")[chat.trim().split("\n").length - 2].slice(1, -1) +
        "}"
    ).choices[0].message.content;
  };
  const bitoAI = async function (prompt) {
    var res = await (
      await fetch("https://bitoai.bito.co/ai/v2/chat/", {
        headers: {
          accept: "*/*",
          authorization:
            "QklUT0FJLWJrMEJENDM4MDUtNDZFNi00NzMzLUEwQzYtMzJGMDAyMTY0NzMxOjE1MDYtMDQ=",
        },
        referrerPolicy: "strict-origin-when-cross-origin",
        body: JSON.stringify({
          prompt: "Hello, what is 1+1?",
          uId: "2b85d8c0-6d7c-9777-f54c-ed8ce408e1da",
          ideName: "Chrome",
          requestId: "e1d342b0-3459-4ce1-b7e6-aeb1dbcc3574",
          stream: true,
          context: [],
          sessionId: "2a9feeb0-5baa-4e3b-957d-7c4e7f8748d0",
        }),
        method: "POST",
        credentials: "include",
      })
    ).text();
    res = res.split("\n");

    var str = "";
    res.forEach((e) => {
      if (!(e.substring(5) == "[DONE]")) {
        e = JSON.parse(e.substring(5)).choices[0].text;
        str = str + e;
      }
    });
    return str;
  };
  const vercelAI = async function (prompt) {
    var e = await (
      await fetch("https://play.vercel.ai/api/generate", {
        headers: {
          accept: "*/*",
          "content-type": "application/json",
        },
        referrer: "https://play.vercel.ai/",
        body: JSON.stringify({
          prompt: prompt,
          model: "openai:gpt-3.5-turbo",
          temperature: 1,
          maxTokens: 200,
          topK: 1,
          topP: 1,
          frequencyPenalty: 1,
          presencePenalty: 1,
          stopSequences: [],
        }),
        method: "POST",
        mode: "cors",
        credentials: "omit",
      })
    ).text();
    console.log("vAI", e);

    var t = "";
    e = e.split(`\n"`);
    e.forEach((ee) => {
      t = t + ee.replace(/"$/g, "");
    });
    t = t.trim().slice(1, -1);
    if (t.toLowerCase() == "nternal server rrro") {
      throw new Error("Internal server error");
      return;
    }
    return t;
  };
  const vert5 = async function (prompt) {
    return (
      await (
        await fetch("https://chatbot-vert-five.vercel.app/api/chat", {
          referrer: "https://chatbot-vert-five.vercel.app/",
          body: JSON.stringify([{ role: "User", message: "Hi!" }]),
          method: "POST",
        })
      ).json()
    ).message;
  };
  const twbio = async function (prompt) {
    var response = await (
      await fetch("https://www.twitterbio.io/api/generate", {
        referrer: "https://www.twitterbio.io/",
        body: JSON.stringify({ prompt: prompt }),
        method: "POST",
      })
    ).text();
    var string = "";
    response.split("\n").forEach((e) => {
      try {
        e = e.substring(5).trim();

        e = JSON.parse(e);
        string = string + e.text;
      } catch {}
    });
    return string;
  };
  const llama = async function (prompt) {
    return new Promise(async function (resolve, reject) {
      try {
        const res = await (
          await fetch(
            "https://us-central1-arched-keyword-306918.cloudfunctions.net/run-inference-1",
            {
              headers: {
                accept: "application/json, text/plain, */*",
                "content-type": "application/json",
              },
              body: JSON.stringify({
                prompt: prompt,
              }),
              method: "POST",
            }
          )
        ).json();
        resolve(res.completion);
      } catch (e) {
        reject(e);
      }
    });
  };

  return new Promise(async function (resolve, reject) {
    bai(prompt)
      .catch((e) => mcbbs(prompt))
      .catch((e) => bitoAI(prompt))
      .catch((e) => vercelAI(prompt))
      .catch((e) => vert5(prompt))
      .catch((e) => twbio(prompt))
      .catch((e) => llama(prompt))
      .then((e) => resolve(e))
      .catch((e) => reject(e));
  });
};

const action = await tp.system.suggester(["💬 Chat", "🔄️ Re-write", "➕ Expand", "✍️ Custom prompt"], ["💬 Chat", "🔄️ Re-write", "➕ Expand", "✍️ Custom"]);
if (action == "💬 Chat") {
  const prompt = await tp.system.prompt("Ask me anything");
  if (!prompt || prompt.trim() == "") {
    return;
  }
  const reply = await ai("You are Obsidian AI, an AI running inside Obsidian focused on replying to questions. Prompt: " + prompt);
  return `<b>User:</b> ${prompt}\n<b>AI:</b> ${reply.replace("Obsidian AI:", "").trim()}`
} else if (action == "🔄️ Re-write") {
  const prompt = await tp.system.prompt("Original text", tp.file.selection().trim());
  const reply = await ai("Hi, please rewrite the following text: " + prompt);
  return reply.trim()

} else if (action == "➕ Expand") {
  const prompt = await tp.system.prompt("Original text", tp.file.selection().trim());
  const reply = await ai("Hi, please expand the following text: " + prompt);
  return reply.trim()
} else if (action == "💬 Chat") {
  const action = await tp.system.prompt("Action");
  const original = await tp.system.prompt("Original text", tp.file.selection().trim());
  const reply = await ai(`Hi, please follow the action "${action}" for the following original text: ${original}`);
  return reply.trim()
}
%>

Thanks for reading! Please post your comments below.

[tinnted]

Getting "Unauthorized Access" as AI's prompt. I guess the reverse-engineered API is expired? or something. What is the solution for this

[tiagorangel1]

That was solved, but I got into problems with CORS, and didn't work.

[tiagorangel1]

No longer works due to CORS issues

[AB1908]

Try using requestUrl instead of fetch. Fetch is known to have CORS issues in Obsidian.