Real Time Model Output Aggregation And Streaming

via “streaming-response-generation-with-token-callbacks”

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Unique: Streaming is implemented at the HTTP layer using Go's http.Flusher, ensuring tokens are sent immediately after generation without buffering. Streaming format is newline-delimited JSON, compatible with standard streaming clients and libraries.

vs others: Lower latency than vLLM's streaming because Ollama flushes tokens immediately; more compatible than OpenAI's streaming because it uses standard HTTP chunked encoding rather than custom SSE format