Build resumable streams
Does your stream stop when users navigate away from the chat? Streamstraight ensures streams resume when users return.
Reliably stream AI thinking traces to your frontend
Ensure your users never see an interrupted LLM response
Streamstraight solves the problems around resuming streams and reconnecting while an AI response is still in progress, so your users never see an interrupted response.
Resumable streams
Add backend flexibility
Build reliably
With Streamstraight
Untitled Chat
I'm a helpful agent; how can I help you today?
Without Streamstraight
Untitled Chat
I'm a helpful agent; how can I help you today?
Built for high-quality AI experiences
Ensure your AI responses are never interrupted
Long-running AI agents can take minutes to think and respond. Streamstraight ensures that interrupted responses are seamlessly resumed, helping you build a polished UI.
Run LLM inference from async jobs
With Streamstraight, you're no longer restricted to calling LLM providers from your server. Move them to an async job for reliability!
Stream to multiple clients
Let multiple tabs listen to the same stream. No more sync issues!
Easy-to-use SDKs
Our server and client packages easily swap into existing Node or Python code.
Where Server-sent Events break down
- •AI thinking progress is interrupted when users navigate away from the chat.
- •Serverless apps lose the entire AI response if a user navigates away before completion.
- •Background jobs can’t stream directly to clients.
Where Streamstraight shines
- •Automatically resume the stream when users return to an in-progress AI response.
- •Ensure your AI responses aren't interrupted due to network issues.
- •Stream from anywhere, including background jobs or serverless functions.
Drop-in Replacement
Instantly get reliable streaming, without rewriting your stack.
Streamstraight is a drop-in replacement. Streams work exactly the same way they do; no need to learn a new way to persist data or use a custom LLM framework.
npm install --save @streamstraight/server @streamstraight/clientFind more options in the quickstart!
- 01Send the stream to us
Pass the stream you receive from OpenAI, Anthropic, or any LLM provider to Streamstraight. Do this anywhere: your server, function, or an async job!
Follow in docs → - 02Add an authentication route
Add a simple server route to authenticate your client with Streamstraight.
Follow in docs → - 03Stream directly to your client
Fetch your stream from Streamstraight and process each chunk as you normally would.
Follow in docs →
Frequently Asked Questions
Get quick answers here, and browse our docs for more.
Streamstraight is the best, most future-proof way for a frontend web app to receive LLM thinking traces and AI responses. We solve all the problems around resuming streams, handling interrupted connections, and calling LLMs from async jobs, so your users never see an interrupted response.
Without Streamstraight, you need to build solutions to handle all these edge cases yourself: resuming streams, buffering chunks, persisting state, establishing client connections, and managing LLM calls from async jobs.
For answers to more questions, check out our docs.
Ensure your users never see an interrupted AI response
Streamstraight is the best way to build reliable frontends with AI.