Streaming on Mengboy 技术笔记

OpenAI Responses Streaming in Production: Backpressure, Chunk Reassembly, and Timeout Budget

Fri, 27 Mar 2026 01:08:00 +0000

Most streaming failures are not about “can it stream”, but “does it stay stable under load”: broken chunks, stuck clients, timeout cascades, and retry storms.

OpenAI Responses 流式输出生产稳态：背压控制、分片重组与超时预算闭环

Fri, 27 Mar 2026 01:08:00 +0000

线上最容易把流式输出做坏的，不是“能不能流出来”，而是流量一上来就抖：token 断片、客户端卡死、超时雪崩、重试风暴。

OpenAI Responses + Go Stream Recovery: Delta Persistence, Resume Tokens, and Duplicate Chunk Dedup

Mon, 23 Mar 2026 01:13:09 +0000

In production, the painful part is not “streaming is slow.” It’s “streaming breaks and then duplicates output after reconnect.”
This guide gives you a practical recovery loop: delta persistence + resume token + idempotent dedup, so reconnection does not replay garbage.

OpenAI Responses + Go 的流式中断恢复：delta 持久化、resume token 与重复片段去重

Mon, 23 Mar 2026 01:13:09 +0000

生产里最难受的不是“流式返回慢”，而是“流式返回断了还重复”，用户看到半句、重连后又从中间重喷一遍。
这篇给一套可落地的恢复闭环：delta 持久化 + resume token + 幂等去重，目标是“断线可续，重放不重字”。

OpenAI Responses API Streaming in Go: Timeouts, Retries, and Observability

Mon, 23 Feb 2026 01:15:00 +0000

Production streaming fails in two predictable ways: users wait while the stream silently drops, and your logs say “timeout” without telling you where it actually broke.

This guide gives you a practical Go pattern for OpenAI Responses API streaming with strict timeout boundaries, safe retries, and useful telemetry.

OpenAI Responses API 流式输出在 Go 中的工程化实践：超时、重试与可观测性

Mon, 23 Feb 2026 01:15:00 +0000

线上流式生成最怕两件事：用户在等，你的连接先断；日志里报错一堆，你却不知道是哪一层炸了。

这篇给你一个能直接落地的 Go 工程模板：把 OpenAI Responses API 的流式调用做成可超时、可重试、可观测的生产级链路。