Move LLM inference to async jobs
Async jobs offer better reliability and scalability than an HTTP server. Streamstraight enables you to move LLM inference to async jobs while maintaining the thinking UI.
Reconnect seamlessly to in-progress streams
Durable, Resumable Streams for long-running AI Agents
Push or tail a stream from anywhere with Streamstraight. Reliably ensure users never see an interrupted LLM response.
Resumable streams
Serverless durability
Access from anywhere
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?
Serverless persistence for LLM streams
Long-running AI agents can take minutes to think and respond. Streamstraight is a persistence layer for LLM streams, ensuring your AI responses are never interrupted.
Resumable long-running streams
No matter how long a stream takes to complete, Streamstraight ensures it resumes seamlessly when users reconnect.
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 slot into existing Node or Python code.
Build in-house
- •Resuming in-progress AI responses is complex to build
- •Background/async jobs can’t stream directly to clients
- •Persisting streams requires adding and managing new infra
With Streamstraight
- •Durable, serverless stream persistence accessible from anywhere
- •SDKs that easily enable stream resumption
- •Robust protection against network interruptions and client disconnects
Drop-in Replacement
Access streams directly from your client
Unlike other solutions, Streamstraight exposes the stream directly on your client. No need to proxy requests through your backend or learn a new framework.
npm install --save @streamstraight/server @streamstraight/clientFind more options in the quickstart!
- 01Send the stream to us
Pass the stream you receive from your LLM provider to Streamstraight. Do this from anywhere: server, serverless function, or an async job!
Follow in docs → - 02Add an authentication route
Add a simple, reusable route to authenticate your client with Streamstraight.
Follow in docs → - 03Tail directly from your client
Tail 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 a durable, serverless persistence layer for streams. We make it easy to resume streams and push/tail them from anywhere. This enables you to move LLM calls to 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.
For answers to more questions, check out our docs.
Durable, Resumable Streams for Long-Running AI Agents
Push or tail a stream from anywhere. Streamstraight is the best way to build reliable streaming AI applications.