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nbbaier/readmeGPT

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Readme

Val Town AI Readme Writer

This val provides a class ReadmeWriter for generating readmes for vals with OpenAI. It can both draft readmes and update them directly

PRs welcome! See Todos below for some ideas I have.

Usage

To draft a readme for a given code, use the draftReadme method:

import { ReadmeWriter } from "https://esm.town/v/nbbaier/readmeGPT";

const readmeWriter = new ReadmeWriter({});
const val = "https://www.val.town/v/:username/:valname";

const generatedReadme = await readmeWriter.draftReadme(val);

To write and update a readme for a given code, use the writeReadme method:

import { ReadmeWriter } from "https://esm.town/v/nbbaier/readmeGPT";

const readmeWriter = new ReadmeWriter({});
const val = "https://www.val.town/v/:username/:valname";

const successMessage = await readmeWriter.writeReadme(val);

API Reference

Class: ReadmeWriter

The ReadmeWriter class represents a utility for generating and updating README files.

Constructor

Creates an instance of the ReadmeWriter class.

Parameters:
  • model (optional): The model to be used for generating the readme. Defaults to "gpt-3.5-turbo".
  • apiKey (optional): An OpenAI API key. Defaults to Deno.env.get("OPENAI_API_KEY").

Methods

  • draftReadme(val: string): Promise<string>: Generates a readme for the given val.

    • Parameters:

      • val: URL of the code repository.

    • Returns:

      • A promise that resolves to the generated readme.

  • writeReadme(val: string): Promise<string>: Generates and updates a readme for the given val.

    • Parameters:

      • val: URL of the code repository.

    • Returns:

      • A promise that resolves to a success message if the update is successful.

Todos

  • Additional options to pass to the OpenAI model
  • Ability to pass more instructions to the prompt to modify how the readme is constructed
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import { type WriterOptions } from "https://esm.town/v/nbbaier/WriterOptions";
import { fetch } from "https://esm.town/v/std/fetch?v=4";
import OpenAI, { type ClientOptions } from "npm:openai";
export class ReadmeWriter {
model: string;
openai: OpenAI;
apiKey: string;
valtownKey: string;
constructor(options: WriterOptions) {
const { model, ...openaiOptions } = options;
this.model = model ? model : "gpt-3.5-turbo";
this.openai = new OpenAI(openaiOptions);
this.valtownKey = Deno.env.get("valtown");
}
private createPrompt(code: string, userPrompt?: string) {
return `
You are an AI assistant that writes documentation for code. You output readmes
in GitHub flavored markdown. Usage sections should include a single code snippet
that a user can copy and paste. Never return anything other than documentation for
the code you are provided.
${userPrompt}
Take the below code and return a markdown readme:
${code}
`;
}
private async getVal(username: string, valName: string) {
try {
const res = await fetch(`https://api.val.town/v1/alias/${username}/${valName}`, {
method: "GET",
headers: {
"accept": "*/*",
"Content-Type": "application/json",
"Authorization": `Bearer ${this.valtownKey}`,
},
});
const { id, code } = await res.json();
return { id, code };
} catch (error) {
throw new Error("Error getting val code: " + error.message);
}
}
private async performOpenAICall(prompt: string) {
try {
const response = await this.openai.chat.completions.create({
messages: [{ role: "system", content: prompt }],
model: this.model,
});
if (!response.choices || response.choices.length === 0) {
throw new Error("No response from OpenAI");
}
const readme = response.choices[0].message?.content;
if (!readme) {
throw new Error("No readme returned by OpenAI. Try again.");
}
return readme;
} catch (error) {
throw new Error("Error generating readme: " + error.message);
}
}
private async updateReadme(id: string, readme: string) {
try {
const res = await fetch(`https://api.val.town/v1/vals/${id}`, {
method: "PUT",
headers: {
"accept": "*/*",
"Content-Type": "application/json",
"Authorization": `Bearer ${this.valtownKey}`,
},
body: JSON.stringify({ "readme": readme }),
});
return res.status;
} catch (error) {
throw new Error("Error updating readme: " + error.message);
}
}
private async processRequest(val: string, userPrompt?: string) {
const url = new URL(val);
const [, _, username, valName] = url.pathname.split("/");
const { id, code } = await this.getVal(username, valName);
const prompt = this.createPrompt(code, userPrompt);
const readme = await this.performOpenAICall(prompt);
return { id, readme };
}
async draftReadme(val: string, userPrompt?: string) {
const { readme } = await this.processRequest(val, userPrompt);
return readme;
👆 This is a val. Vals are TypeScript snippets of code, written in the browser and run on our servers. Create scheduled functions, email yourself, and persist small pieces of data — all from the browser.
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