[!NOTE]
This project is in GA Stage. The Upstash Professional Support fully covers this project. It receives regular updates, and bug fixes. The Upstash team is committed to maintaining and improving its functionality.
QStash is an HTTP based messaging and scheduling solution for serverless and edge runtimes.
It is 100% built on stateless HTTP requests and designed for:
QStash is the message broker between your serverless apps. You send an HTTP request to QStash, that includes a destination, a payload and optional settings. We durably store your message and will deliver it to the destination API via HTTP. In case the destination is not ready to receive the message, we will retry the message later, to guarentee at-least-once delivery.
npm install @upstash/qstash
Go to Upstash Console and copy the QSTASH_TOKEN.
import { Client } from "@upstash/qstash";
/**
* Import a fetch polyfill only if you are using node prior to v18.
* This is not necessary for nextjs, deno or cloudflare workers.
*/
import "isomorphic-fetch";
const client = new Client({
token: "<QSTASH_TOKEN>",
});
const res = await client.publishJSON({
url: "https://my-api...",
// or urlGroup: "the name or id of a url group"
body: {
hello: "world",
},
});
console.log(res);
// { messageId: "msg_xxxxxxxxxxxxxxxx" }
How to receive a message depends on your http server. The Receiver.verify
method should be called by you as the first step in your handler function.
import { Receiver } from "@upstash/qstash";
const r = new Receiver({
currentSigningKey: "..",
nextSigningKey: "..",
});
const isValid = await r.verify({
/**
* The signature from the `Upstash-Signature` header.
*
* Please note that on some platforms (e.g. Vercel or Netlify) you might
* receive the header in lower case: `upstash-signature`
*
*/
signature: "string";
/**
* The raw request body.
*/
body: "string";
})
No need for complicated setup your LLM request. We'll call LLM and schedule it for your serverless needs.
import { Client, openai } from "@upstash/qstash";
const client = new Client({
token: "<QSTASH_TOKEN>",
});
const result = await client.publishJSON({
api: { name: "llm", provider: openai({ token: process.env.OPENAI_API_KEY! }) },
body: {
model: "gpt-3.5-turbo",
messages: [
{
role: "user",
content: "Where is the capital of Turkey?",
},
],
},
callback: "https://oz.requestcatcher.com/",
});
See the documentation for details.
This project requires Bun to be installed. Please see the Bun installation documentation for further instructions.
Once you have cloned the project, you will need to install the dependencies and then you can run the project.
bun install
bun run build
To begin testing, environment variables will need to be setup. First, create a .env
file in the root of the project. .env.template
can be used as a template. Your values can be found in the Qstash Console.
bun run test
This project uses commitlint. When committing, please ensure your commit message is formatted to include an appropriate prefix with the message.
fix: typescript bug
feat: use new logger
perf: refactor cache
For a full list of options, please see the commitlint.config.js
file.