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Hugging Face 推理生产指南（2026）：先分清两个产品——免费 serverless（评估用，冷启动/限流）vs Inference Endpoints（生产用，专属 GPU/SLA）。HF 赢在 Hub 长尾模型与私有微调模型托管；主流 LLM 通常专业云更划算。含成本临界算法。

多供应商 AI 回退生产架构（2026）：网关层集中策略（LiteLLM 配置示例）、能力等级抽象（应用调 tier 不调厂商）、健康路由+熔断、该/不该触发回退的信号。覆盖朴素回退漏掉的坑：提示词可移植性、特性不对称、延迟悬崖。

OpenAI API 生产最佳实践（2026）：客户端配置（超时/重试/异步）、可靠性四模式（SDK 重试边界/幂等自管/跨商回退/流式+finish_reason）、结构化输出用 parse、成本工程五杠杆（按路由选档/缓存友好前缀/Batch/逐特性记账/max_tokens 封顶）、注入与版本钉扎。

Together AI 生产指南（2026）：开源模型 API 里的「目录广度+全生命周期」选手——serverless 起步、微调即托管、专属容量毕业不换商。注意 Turbo/Lite 是量化变体需实测、与 Fireworks/Groq/HF/自托管的选型表、多供应商互备近乎免费。

Perplexity API 集成生产指南（2026）：一次调用拿到「搜索接地+引用」的答案。适合实时网络知识场景（自有文档检索不适用）。域名/时效过滤是质量杠杆、grounded-fact 内部服务模式、引用即审计链需抽查、按波动性分级缓存。

Fireworks AI 生产指南（2026）：快开源模型推理赛道的定位（延迟+函数调用见长）、OpenAI 兼容接入细节、serverless vs 专属部署的切换点、LoRA 托管、与 Together/Groq 的选型法和何时该撤到自托管 vLLM。

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