oss-prompt-optimizer

将原始指令经 harness llm 服务优化为专业提示词——四段（Role / Task / Context / Format）或无标题纯文本风格；情境感知（1.3.0+）：自动解析指令与对话为角色/任务/目标画像，角色与任务强相关、目标与约束自动保留（目标对齐重试、会话级目标沿用），角色按「身份＋能力＋行为」三要素撰写并附任务类型写法建议（1.3.3-1.3.5）；上下文感知默认开启；长输出断点续传+自动扩容、结果缓存（同请求零模型调用）、流式早停与可选速档降低耗时（1.3.6）；输入框 ✨ 一键优化/撤销/取消与 token 消耗提示、prompt_optimize 工具（优化+迭代）、自动优化钩子与中英自动检测的角色文档。

Optimize a raw instruction into a professional prompt through the harness llm service — four-section (Role / Task / Context / Format) or a headerless plain-text style. Situation-aware (1.3.0+): the instruction and conversation are parsed into role / task / goal profiles, so the role stays on-task and goals/constraints are preserved (goal-alignment retry, per-session goal carry-over); roles follow an identity + capability + behavior formula with per-task-type writing tips (1.3.3-1.3.5). Context-aware by default; long outputs resume with auto-expanded budgets; validated results are cached (identical requests cost zero model calls); stream early-stop and an optional fast profile cut latency (1.3.6). Composer ✨ one-click optimize / undo / cancel with a token-cost hint; prompt_optimize tool (optimize + iterate), auto-optimize hook, auto-detected zh/en role document.