OpenAI Assistants/Responses 在 Go 里的上下文爆炸治理：截断策略、摘要回填与成本上限
线上 Agent 一跑久了就会遇到同一个坑：上下文越来越长，延迟飙升、费用失控，最后还更容易答偏。 这不是模型“变笨”了，通常是上下文治理没做：该留的没留、该删的没删、该摘要的摘要坏了。 ...
OpenAI
Taming Context Explosion in OpenAI Assistants/Responses with Go: Truncation, Summary Backfill, and Cost Caps
Long-running agent sessions usually fail the same way: context keeps growing, latency spikes, costs blow up, and answer quality gets worse. That is rarely a model-quality issue. It is almost always missing context governance. ...
Go + OpenAI API Timeout Troubleshooting: DNS, TLS, Proxy, and Connection Pool
When OpenAI API calls start timing out in production, the real problem is usually not “OpenAI is down.” The real problem is you don’t know which hop is failing: DNS, TLS handshake, proxy path, or your own connection pool. ...
Go 调 OpenAI API 常见超时链路排查：DNS/TLS/代理/连接池一次讲清
线上调用 OpenAI API 一旦出现超时，最烦的不是“偶发失败”，而是你不知道到底卡在 DNS、TLS、代理，还是你自己的连接池。 这篇给你一套可直接落地的排查顺序：先判定超时发生在哪一段，再用指标和最小实验定位，最后给可复制的 Go 配置模板，避免同类事故反复出现。 ...
OpenAI Responses API Streaming in Go: Timeouts, Retries, and Observability
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
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。 ...
Claude / Codex / OpenAI CLI 工作流对比：开发效率怎么选
如果你把 AI 只当“聊天工具”，三家看起来差不多；但一旦进入真实开发链路，差异会非常明显。 我的结论先放前面：日常编码+项目内改动优先 Codex，长文推理和方案拆解用 Claude，OpenAI CLI 适合做标准化自动化和跨工具串联。 ...
Claude vs Codex vs OpenAI CLI: Which Workflow Actually Improves Dev Productivity
If you use AI as a chatbot only, these tools feel similar. In real engineering workflows, they behave very differently. My conclusion first: use Codex for repo-native coding changes, Claude for deep reasoning and long-form planning, and OpenAI CLI for standardized automation pipelines. ...