thousands-school-86950
09/18/2025, 1:17 PMtall-airline-16756
09/18/2025, 1:17 PMtall-airline-16756
09/18/2025, 1:18 PMsend and send_nowait really comes down to what fits your needs best:
• Consider send_nowait if you want non-blocking, immediate sending. This works wonderfully for streaming partial results (like chat chunks) or when you're in thread-safe situations where you can’t wait. Just a heads-up, it will raise ChanFull if the buffer is full or ChanClosed if the channel is closed.
• Go with send if you prefer to wait for buffer space to make sure your message gets through. It blocks until space opens up, which is great for scenarios where you want to control the flow and backpressure is okay.
For most real-time uses, especially streaming events in LLM adapters, send_nowait tends to be the best choice to keep things quick and responsive. Just remember to wrap it in exception handling so you can smoothly manage ChanClosed situations.
Sources: livekit-plugins/livekit-plugins-azure/livekit/plugins/azure/stt.pythousands-school-86950
09/18/2025, 1:18 PMtall-airline-16756
09/18/2025, 1:19 PMsend versus send_nowait together. I'm here to help you through this!thousands-school-86950
09/18/2025, 1:19 PMtall-airline-16756
09/18/2025, 1:20 PMsend and send_nowait really shapes the user experience, so let’s walk through it together:
• Using send_nowait: This approach is fantastic for keeping things quick and natural. It sends data right away—like audio frames or text chunks—without waiting, which helps conversations flow smoothly and feel real-time. That said, it can sometimes lead to message loss if there’s congestion, which might cause a few phrases to be missed or responses to feel incomplete.
• Using send: This one waits until there’s room to send the message, so it’s reliable in making sure nothing gets lost. But, it can slow things down, making the chat feel a bit less responsive and natural.
For voice chat, most folks lean towards send_nowait because keeping the conversation lively is key. To keep things running smoothly, you can add some smart safeguards like retrying sends, monitoring sessions, and having fallback plans—these help handle any hiccups gracefully and keep your users happy.
Sources: examples/other/translation/multi-user-translator.py | An open source stack for real-time multimodal AIthousands-school-86950
09/18/2025, 1:23 PMtall-airline-16756
09/18/2025, 1:24 PMsend_nowait! Rest assured, using it won't cause streamed chat chunks to be sent out of order. The system is designed to keep everything in the right sequence, so all chunks are processed exactly in the order they're sent. This means that even partial content, like text deltas or tool calls, flows smoothly and coherently, making sure your experience stays seamless.
Sources: livekit-plugins/livekit-plugins-aws/livekit/plugins/aws/experimental/realti... | Sending files & bytes | LiveKit Docs