Search results for "openai function calling"

myApi

@lazeebee

An interactive, runnable TypeScript val by lazeebee

0

Script

export function myApi(name) {

return { "ale": 1 };

createHorror3DGame

@kutasartem

@jsxImportSource https://esm.sh/react@18.2.0

0

HTTP

'Roguelike'

function AIGameBuilderLanding() {

const [activeSection, setActiveSection] = useState('home');

try {

const { OpenAI } = await import("https://esm.town/v/std/openai");

const openai = new OpenAI();

if (!gameMechanic) {

- Potential monetization or player engagement strategy`;

const response = await openai.chat.completions.create({

model: "gpt-4o-mini",

try {

const { OpenAI } = await import("https://esm.town/v/std/openai");

const openai = new OpenAI();

const response = await openai.chat.completions.create({

model: "gpt-4o-mini",

</div>

function client() {

const root = document.getElementById("root");

if (typeof document !== "undefined") { client(); }

export default async function server(request: Request) {

return new Response(`

falImageHandler

@isidentical

An interactive, runnable TypeScript val by isidentical

0

HTTP

// Can also be auto-configured using environment variables:

credentials: Deno.env.get("FAL_KEY"),

export default async function(req: Request): Promise<Response> {

const { prompt } = await req.json();

const result: any = await fal.run("fal-ai/fast-lightning-sdxl", { input: { prompt } });

webgen

@jonataaroeira

To-dos: Spruce up styles a bit Write this README ~Add a cache!~ ~Try moving style tag to the bottom by prompting so content appears immediately and then becomes styled~ didn't work b/c CSS parsing isn't progressive Need more prompting to get the model not to generate placeholder-y content Better root URL page / index page with links to some good sample generations

0

HTTP

let pageDescriptionInstructions = "";

let pageResult = "";

// // 2. Do one OpenAI inference to expand that URL to a longer page description

const pageDescriptionStream = await togetherAI.inference("mistralai/Mixtral-8x7B-Instruct-v0.1", {

prompt: `

buildclubProjectSearch

@yawnxyz

Use embeddings / Lunr search on Airtable. Embeddings need to have been generated / stored on Airtable, or this gets very slow / costly. Simple usage: https://yawnxyz-buildclubprojectsearch.web.val.run/search?query=cars Full GET request: https://yawnxyz-buildclubprojectsearch.web.val.run/search?query=your+search+query&similarity_threshold=0.8&max_results=5&base_id=your_base_id&table_name=your_table_name&content_column=your_content_column&embedding_column=your_embedding_column

1

0

HTTP

const defaultContentColumn = "Content";

const defaultEmbeddingColumn = "Embeddings";

async function fetchAirtableData(baseId, tableName, nameColumn, contentColumn, embeddingColumn) {

const base = new Airtable({ apiKey: airtableApiKey }).base(baseId);

const records = await base(tableName).select().all();

embeddingsContent: record.get('EmbeddingsContent'),

return documents;

async function searchDocuments(c, query, similarityThreshold) {

const baseId = c.req.query("base_id") || defaultBaseId;

const tableName = c.req.query("table_name") || defaultTableName;

characterGuesser

@vawogbemi

@jsxImportSource https://esm.sh/react

0

HTTP

import { createRoot } from "https://esm.sh/react-dom/client";

function App() {

const [message, setMessage] = useState("Think of a character, then swipe right to start!");

</div>

function client() {

createRoot(document.getElementById("root")).render(<App />);

if (typeof document !== "undefined") { client(); }

export default async function server(request: Request): Promise<Response> {

const url = new URL(request.url);

claude_share_html

@adagradschool

An interactive, runnable TypeScript val by adagradschool

0

Script

export default function handler(req) {

return new Response(

"\n <!DOCTYPE html>\n <html>\n <head>\n <title>Claude Chat Conversation</title>\n <meta charset=\"UTF-8\">

openAqNowcastAQI

@stevekrouse

An interactive, runnable TypeScript val by stevekrouse

16

1

Script

import { msHour } from "https://esm.town/v/stevekrouse/msHour";

import { fetchJSON } from "https://esm.town/v/stevekrouse/fetchJSON";

export async function openAqNowcastAQI({ location_id }) {

const { results } = await fetchJSON(

"https://api.openaq.org/v2/measurements?" +

chatGPTExample

@maxdrake

An interactive, runnable TypeScript val by maxdrake

0

Script

let repsonse_obj = await chatGPT(

"hello assistant",

tinue a conversation, you can pass in someting of the form: https://platform.openai.com/docs/guides/chat/introduction

API_KEY

let response_text = repsonse_obj.message;

myApi

@omar12

An interactive, runnable TypeScript val by omar12

0

Script

export function myApi(name) {

return "hi " + name;

createAPI

@websandbox

An interactive, runnable TypeScript val by websandbox

0

HTTP

"access-control-allow-origin": "*",

"access-control-allow-headers": "*",

export default async function(req: Request): Promise<Response> {

try {

if (req.method === "OPTIONS") {

val_0eoDqjj87h

@dhvanil

An interactive, runnable TypeScript val by dhvanil

0

HTTP

export async function val_0eoDqjj87h(req) {

try {

// Execute the code directly and capture its result

ALPHANUMERIC_TEXT_TOO_LONG

@roysarajit143

@jsxImportSource https://esm.sh/react@18.2.0

0

HTTP

import React, { useState } from "https://esm.sh/react@18.2.0";

function App() {

const [messages, setMessages] = useState([

</div>

function client() {

createRoot(document.getElementById("root")).render(<App />);

if (typeof document !== "undefined") { client(); }

export default async function server(request: Request): Promise<Response> {

if (request.method === "POST" && new URL(request.url).pathname === "/chat") {

try {

const { OpenAI } = await import("https://esm.town/v/std/openai");

const openai = new OpenAI();

const { messages } = await request.json();

const completion = await openai.chat.completions.create({

messages: messages,

myApi

@ethanniser

An interactive, runnable TypeScript val by ethanniser

0

Script

export function myApi(name) {

return "hi " + name;

falProxyRequest

@stevekrouse

An interactive, runnable TypeScript val by stevekrouse

66

0

Script

export async function falProxyRequest(req: Request) {

const method = req.method;

const body = method === "GET" || method === "HEAD" ? undefined : await req.text();