Most multi-tenant AI platforms fail for two boring reasons: one tenant saturates shared capacity, and finance discovers the burn too late. This guide gives you a practical Go blueprint: token-bucket throttling, budget circuit breakers, and request-level cost attribution. ...
多租户 AI 服务最容易死在两件事：一个租户打爆全局配额，以及月底账单炸了才发现。 这篇给你一套可直接落地的 Go 方案：令牌桶限流 + 预算熔断 + 账单归因，目标是“先活下来，再精细化”。 ...
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. ...
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。 ...