For scenarios such as real-time chat, Claude Proxy guarantees the quality of streaming responses through a triple technology:
- protocol conversion layer: Convert Claude's native streaming data (JSON sequences) into OpenAI-compatible Server-Sent Events (SSE) format in real-time, maintaining millisecond latency
- buffer optimizationDynamic chunking technology, which automatically adjusts the packet size when the network fluctuates to avoid lagging.
- Heartbeat mechanism: Sends keep-alive signals every 5 seconds to maintain a long connection, preventing intermediate network devices from disconnecting
The technical implementation relies heavily on Bash'swhile readCyclic processing of data streams in conjunction withcurl --no-bufferparameter to disable caching. Developer testing can be done with thecurl -Nparameter to observe the raw stream data, or use Python'ssseclientlibraries for integration verification.
It is worth noting that this solution is lighter compared to the WebSocket protocol and is particularly suitable for resource-constrained embedded devices.
This answer comes from the articleClaude Proxy: Proxy tool to convert Claude API to OpenAI formatThe
May not be reproduced without permission:AI productivity tools " How does Claude Proxy's streaming response ensure a real-time chat experience? What are the features of the technical implementation?
