Val Town Code Search

GROKPROMPT main.tsx11 matches

@AppleLamps•Updated 6 months ago

526 * Server-side logic for generating prompts.
527 * The server expects a POST request to "/generate-prompts" with either text or image form data.
528 * It uses OpenAI API to generate detailed and concise prompts.
529 */
530export default async function server(request: Request): Promise<Response> {
531  if (request.method === "POST" && new URL(request.url).pathname === "/generate-prompts") {
532    try {
533      const { OpenAI } = await import("https://esm.town/v/std/openai");
534      const openai = new OpenAI();
535      const formData = await request.formData();
536      const inputType = formData.get("inputType") as string;
627      }
628
629      console.log("Sending request to OpenAI:", JSON.stringify(analysisMessages, null, 2));
630
631      const completion = await openai.chat.completions.create({
632        model: "chatgpt-4o-latest",
633        messages: analysisMessages,
635      });
636
637      console.log("Received response from OpenAI:", JSON.stringify(completion, null, 2));
638
639      const content = completion.choices[0].message.content || "";
695  if (request.method === "POST" && new URL(request.url).pathname === "/clarify-prompts") {
696    try {
697      const { OpenAI } = await import("https://esm.town/v/std/openai");
698      const openai = new OpenAI();
699      const { inputType, originalInput, clarificationAnswer } = await request.json();
700
749      const analysisMessages = [systemMessage, userMessage];
750
751      console.log("Sending clarification request to OpenAI:", JSON.stringify(analysisMessages, null, 2));
752
753      const completion = await openai.chat.completions.create({
754        model: "chatgpt-4o-latest",
755        messages: analysisMessages,
757      });
758
759      console.log("Received clarification response from OpenAI:", JSON.stringify(completion, null, 2));
760
761      const content = completion.choices[0].message.content || "";

VEOPROMPTER main.tsx5 matches

@AppleLamps•Updated 6 months ago

307    const url = new URL(request.url);
308    if (url.pathname === "/generate-prompts") {
309      const { OpenAI } = await import("https://esm.sh/openai@4.11.1");
310      const openai = new OpenAI({
311        apiKey: Deno.env.get("OPENAI_API_KEY"),
312      });
313
316
317      try {
318        const completion = await openai.chat.completions.create({
319          model: "chatgpt-4o-latest", // Changed from "gpt-4o-latest" to "chatgpt-4o-latest"
320          messages: [
364
365        if (!response) {
366          throw new Error("No response from OpenAI");
367        }
368

chat main.tsx6 matches

@lisazz•Updated 6 months ago

5  options = {},
6) => {
7  // Initialize OpenAI API stub
8  const { Configuration, OpenAIApi } = await import(
9    "https://esm.sh/openai@3.3.0"
10  );
11  const configuration = new Configuration({
12    apiKey: process.env.OPENAI,
13  });
14  const openai = new OpenAIApi(configuration);
15  // Request chat completion
16  const messages = typeof prompt === "string"
17    ? [{ role: "user", content: prompt }]
18    : prompt;
19  const { data } = await openai.createChatCompletion({
20    model: "gpt-3.5-turbo-0613",
21    messages,

byob README.md1 match

@yawnxyz•Updated 7 months ago

11
12### Toolings
13* Llms can uses [tools](https://platform.openai.com/docs/guides/function-calling), meaning you can make this an agent and a whole lot more useful.
14  
15

byob main.tsx3 matches

@yawnxyz•Updated 7 months ago

1import { zodResponseFormat } from "https://esm.sh/openai/helpers/zod";
2import { z } from "https://esm.sh/zod";
3import { email } from "https://esm.town/v/std/email";
4import { OpenAI } from "https://esm.town/v/std/openai";
5
6export default async function(e: Email) {
7  const client = new OpenAI();
8
9  const Messages = z.object({

chatgptchess main.tsx4 matches

@nguyenquangdinh82•Updated 7 months ago

1import { OpenAI } from "https://esm.town/v/std/openai?v=5"
2import { sqlite } from "https://esm.town/v/std/sqlite?v=6"
3import { Chess } from "npm:chess.js"
131  return c.html(`<body>
132  <div class='p-4'>
133  <h2 class='font-bold'>OpenAI Chess</h2>
134  <p class='pb-4'>Play chess against ChatGPT-4</p>
135    <div id="myBoard" style="width: 400px"></div>
171    chess.move(san)
172
173    const openai = new OpenAI()
174
175    let messages = []
182        args: [c.req.param().id, `Requesting response to ${san}`],
183      })
184      const completion = await openai.chat.completions.create({
185        messages: [
186          {

valTownChatGPT README.md1 match

@nguyenquangdinh82•Updated 7 months ago

1# ChatGPT Implemented in Val Town
2
3Demonstrated how to use assistants and threads with the OpenAI SDK and how to stream the response with Server-Sent Events.
4
5<p align=center>

valTownChatGPT main.tsx8 matches

@nguyenquangdinh82•Updated 7 months ago

1/** @jsxImportSource https://esm.sh/react */
2import OpenAI from "npm:openai";
3import { renderToString } from "npm:react-dom/server";
4
5// This uses by personal API key, you'll need to provide your own if
6// you fork this. We'll be adding support to the std/openai lib soon!
7const openai = new OpenAI();
8import { Hono } from "npm:hono@3";
9
38    });
39
40    // Setup the SSE connection and stream back the response. OpenAI handles determining
41    // which message is the correct response based on what was last read from the
42    // thread. This is likely vulnerable to race conditions.
58const app = new Hono();
59app.get("/", async (c) => {
60  const thread = await openai.beta.threads.create();
61  const assistant = await openai.beta.assistants.create({
62    name: "",
63    instructions:
114app.post("/post-message", async (c) => {
115  let message = await c.req.text();
116  await openai.beta.threads.messages.create(
117    c.req.query("threadId"),
118    { role: "user", content: message },
132        ));
133      };
134      const run = openai.beta.threads.runs.stream(threadId, {
135        assistant_id: assistantId,
136        // Make sure we only display messages we haven't seen yet.

twitterAlert main.tsx5 matches

@eseidel•Updated 7 months ago

1import { zodResponseFormat } from "https://esm.sh/openai/helpers/zod";
2import { z } from "https://esm.sh/zod";
3import { OpenAI } from "https://esm.town/v/std/openai";
4import { discordWebhook } from "https://esm.town/v/stevekrouse/discordWebhook";
5import { socialDataSearch, Tweet } from "https://esm.town/v/stevekrouse/socialDataSearch";
11  .join(" OR ") + " " + excludes;
12
13const openai = new OpenAI();
14
15const RelevanceSchema = z.object({
29
30  try {
31    const completion = await openai.beta.chat.completions.parse({
32      model: "gpt-4o-mini",
33      messages: [
42    return completion.choices[0].message.parsed;
43  } catch (error) {
44    console.error("Error parsing OpenAI response:", error);
45    return { isRelevant: false, confidence: 0, reason: "Error in processing" };
46  }

neatEmeraldVicuna main.tsx5 matches

@stevekrouse•Updated 7 months ago

1import { zodResponseFormat } from "https://esm.sh/openai/helpers/zod";
2import { z } from "https://esm.sh/zod";
3import { OpenAI } from "https://esm.town/v/std/openai";
4import { discordWebhook } from "https://esm.town/v/stevekrouse/discordWebhook";
5import { socialDataSearch, Tweet } from "https://esm.town/v/stevekrouse/socialDataSearch";
11  .join(" OR ") + " " + excludes;
12
13const openai = new OpenAI();
14
15const RelevanceSchema = z.object({
29
30  try {
31    const completion = await openai.beta.chat.completions.parse({
32      model: "gpt-4o-mini",
33      messages: [
42    return completion.choices[0].message.parsed;
43  } catch (error) {
44    console.error("Error parsing OpenAI response:", error);
45    return { isRelevant: false, confidence: 0, reason: "Error in processing" };
46  }

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openai2 file matches

@wangqiao1234•Updated 2 weeks ago

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@wangqiao1234•Updated 2 weeks ago

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import { OpenAI } from "https://esm.town/v/std/openai"; import { sqlite } from "https://esm.town/v/stevekrouse/sqlite"; /** * Practical Implementation of Collective Content Intelligence * Bridging advanced AI with collaborative content creation */ exp

@kwhinnery_openai1 val

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