Val Town Code SearchReturn to Val Town

1import Instructor from "https://esm.sh/@instructor-ai/instructor";
2import OpenAI from "https://esm.sh/openai";
3import { z } from "https://esm.sh/zod";
4
5const openAISecrets = {
6  apiKey: getApiKey(),
7  organization: getOrganisationKey(),
8};
9
10const oai = new OpenAI(openAISecrets);
11
12const client = Instructor({

1import { email } from "https://esm.town/v/std/email?v=11";
2import { fetch } from "https://esm.town/v/std/fetch";
3import { OpenAI } from "npm:openai";
4
5let location = "shenzhen";
9).then(r => r.json());
10
11const openai = new OpenAI();
12let chatCompletion = await openai.chat.completions.create({
13  messages: [{
14    role: "user",

1If you fork this, you'll need to set `OPENAI_API_KEY` in your [Val Town Secrets](https://www.val.town/settings/secrets).
2
3

1import { OpenAI } from "npm:openai";
2Deno.env.get("OPENAI_API_KEY");
3
4const openai = new OpenAI();
5let chatCompletion = await openai.chat.completions.create({
6  messages: [{
7    role: "user",

3This uses the brand new `gpt-4-1106-preview`.
4
5To use this, set `OPENAI_API_KEY` in your [Val Town Secrets](https://www.val.town/settings/secrets).

1import { chat } from "https://esm.town/v/cosmo/chat_openai";
2import { getCurrentWeather } from "https://esm.town/v/cosmo/get_current_weather";
3

1const { default: OpenAI } = await import("npm:openai");
2
3export async function chat(apiKey, messages) {
4  const openai = new OpenAI({ apiKey });
5
6  return openai.chat.completions.create({
7    messages,
8    model: "gpt-3.5-turbo",

1import { fetch } from "https://esm.town/v/std/fetch?v=4";
2import OpenAI, { type ClientOptions } from "npm:openai";
3
4export interface WriterOptions extends ClientOptions {
40}
41
42async function performOpenAICall(prompt: string, model: string, openaiOptions: ClientOptions) {
43  const openai = new OpenAI(openaiOptions);
44
45  try {
46    const response = await openai.chat.completions.create({
47      messages: [{ role: "system", content: prompt }],
48      model: model,
50
51    if (!response.choices || response.choices.length === 0) {
52      throw new Error("No response from OpenAI");
53    }
54
56
57    if (!readme) {
58      throw new Error("No readme returned by OpenAI. Try again.");
59    }
60
83
84async function draftReadme(options: WriterOptions) {
85  const { username, valName, model = "gpt-3.5-turbo", userPrompt, ...openaiOptions } = options;
86  const { id, code } = await getVal(username, valName);
87  const prompt = createPrompt(code, userPrompt);
88  const readme = await performOpenAICall(prompt, model, openaiOptions);
89  return readme;
90}
91
92async function writeReadme(options: WriterOptions) {
93  const { username, valName, model = "gpt-3.5-turbo", userPrompt, ...openaiOptions } = options;
94  const { id, code } = await getVal(username, valName);
95  const prompt = createPrompt(code, userPrompt);
96  const readme = await performOpenAICall(prompt, model, openaiOptions);
97  try {
98    const update = await updateReadme(id, readme);

1import { type ClientOptions } from "npm:openai";
2
3export interface WriterOptions extends ClientOptions {

1# Code Documentation Assistant
2
3The Code Documentation Assistant is an AI-powered tool that helps generate documentation for code. It uses the OpenAI GPT-3.5 Turbo model to generate readme files in GitHub-flavored markdown based on the provided code.
4
5## Usage
24  - `username` (string): The username of the code owner.
25  - `valName` (string): The name of the Val containing the code.
26  - `model` (optional, default: "gpt-3.5-turbo"): The OpenAI model to use for generating the readme.
27  - `userPrompt` (optional): Additional prompt to include in the documentation.
28
44  - `username` (string): The username of the code owner.
45  - `valName` (string): The name of the Val containing the code.
46  - `model` (optional, default: "gpt-3.5-turbo"): The OpenAI model to use for generating the readme.
47  - `userPrompt` (optional): Additional prompt to include in the documentation.
48