Local Token Caching and Call Stack options

[versoindustries]

My concept is pretty simple, I want to cache tokens locally to reduce input tokens on the other end. The other feature I want add in is the ability to input active debugging session info like the call stack and problems. It'd also be great if we could possibly start another project that allows parsing entire github repositories and then running these same commands. The main thing would be control over rate limiting, so being able to feed the entire dataset in and optimizing the feed rate of tokens through the api. It'd be the same usage either way, but would offer the ability to continue going once the rate limit is lifted.

I don't know typescript or javascript, just a few other languages. GPT suggests this:

Here is an example of how you can fetch the call stack and the current state of the debugging session in TypeScript:

import * as vscode from 'vscode';

export function fetchCallStack() {
    const activeDebugSession = vscode.debug.activeDebugSession;
    if (!activeDebugSession) {
        return;
    }

    activeDebugSession.customRequest('stackTrace', { threadId: 1 }).then(response => {
        const callStack = response.stackFrames;
        // use the callStack
    });
}

|||Suggested example for the call stack and the current state of the debugging session|||

// Check if a token exists in local storage
let token = localStorage.getItem("token");

// If no valid token is found, retrieve a new one
if (!token) {
    // Make a request to the API to retrieve a new token
    const response = await fetch("https://api.openai.com/v1/oauth/token", {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": `Basic ${btoa("client_id:client_secret")}`
        },
        body: JSON.stringify({ grant_type: "client_credentials" })
    });
    const json = await response.json();
    token = json.access_token;

    // Store the token in local storage
    localStorage.setItem("token", token);
}

// Use the token to make a request to the API
const response = await fetch("https://api.openai.com/v1/engines/davinci-codex/completions", {
    method: "POST",
    headers: {
        "Content-Type": "application/json",
"Authorization": Bearer ${token}
},
body: JSON.stringify({
prompt: "What is the meaning of life?",
temperature: 0.5
})
});
const json = await response.json();
console.log(json);