One SSE for four LLMs: streaming OpenAI, Anthropic, DeepSeek, and Kimi through one backend
Summary
This article explains how to stream responses from OpenAI, Anthropic, DeepSeek, and Kimi through one SSE backend. It shows how to handle different event formats, including delta content, usage data, and completion signals. It also covers UTF-8 handling, buffering, and chunk parsing issues that can break SSE streams. The main value is a practical integration pattern for developers building unified LLM proxy or gateway services.
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