Giter Club home page Giter Club logo

openai-assistants-quickstart's Introduction

OpenAI Assistants API Quickstart

A quick-start template using the OpenAI Assistants API with Next.js.

OpenAI Assistants API Quickstart

Quickstart Setup

1. Clone repo

git clone https://github.com/openai/openai-assistants-quickstart.git
cd openai-assistants-quickstart

2. Set your OpenAI API key

export OPENAI_API_KEY="sk_..."

(or in .env.example and rename it to .env).

3. Install dependencies

npm install

4. Run

npm run dev

5. Navigate to http://localhost:3000.

Deployment

You can deploy this project to Vercel or any other platform that supports Next.js.

Deploy with Vercel

Overview

This project is intended to serve as a template for using the Assistants API in Next.js with streaming, tool use (code interpreter and file search), and function calling. While there are multiple pages to demonstrate each of these capabilities, they all use the same underlying assistant with all capabilities enabled.

The main logic for chat will be found in the Chat component in app/components/chat.tsx, and the handlers starting with api/assistants/threads (found in api/assistants/threads/...). Feel free to start your own project and copy some of this logic in! The Chat component itself can be copied and used directly, provided you copy the styling from app/components/chat.module.css as well.

Pages

Main Components

  • app/components/chat.tsx - handles chat rendering, streaming, and function call forwarding
  • app/components/file-viewer.tsx - handles uploading, fetching, and deleting files for file search

Endpoints

  • api/assistants - POST: create assistant (only used at startup)
  • api/assistants/threads - POST: create new thread
  • api/assistants/threads/[threadId]/messages - POST: send message to assistant
  • api/assistants/threads/[threadId]/actions - POST: inform assistant of the result of a function it decided to call
  • api/assistants/files - GET/POST/DELETE: fetch, upload, and delete assistant files for file search

Feedback

Let us know if you have any thoughts, questions, or feedback in this form!

openai-assistants-quickstart's People

Contributors

ibigio avatar romainhuet avatar jaredpalmer avatar akkadaska avatar eltociear avatar jferrettiboke avatar kotaikehara avatar defimatt avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.