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What happens when users submit a prompt, navigate away, then return while the agent is still streaming? Your frontend isn’t able to resume the stream, so you have to reload the page once the stream finishes (or build a complex, custom pub/sub solution). Streamstraight is the best way to stream LLM thinking traces and agent responses to your frontend. We ensure users never see an interrupted response by enabling resumable streams, calling LLMs from async jobs, and allowing you to deliver a high quality agent experience.

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Do you need Streamstraight?

If you…
  • show an incomplete response when users return to an AI chat that’s still in-progress
  • have users who request multiple long-running AI responses, simultaneously
  • lose data when a client reloads the page during a stream
  • deal with flaky connections due to mobile clients
  • want to run LLM inference from an async job
  • want to stream the same LLM response to multiple browser tabs/clients
…try Streamstraight! We can fix these issues and ensure your frontend stays high quality during long-running streams.

Quickstart

Install Streamstraight’s SDKs and start with code samples

Node.js SDK

Install the Streamstraight Node.js SDK

React Guide

Install the Streamstraight client SDK with React