{ "note": "Single source of truth for the decision-pattern taxonomy. Read by scripts/build_readme.py, scripts/build_assets.py, scripts/_stats.py, src/awesome_jev_mcp/server.py and the site at runtime, so none of them can drift. Order is editorial: the patterns an agent author hits first come first. Keys must match the enum in schema/entry.schema.json; scripts/lint.py enforces that, and scripts/lint_docs.py requires a matching section in docs/patterns.md.", "patterns": [ { "key": "tool-selection", "en": "Tool selection", "zh": "工具选择", "blurb_en": "Which tool or action the agent should call next.", "blurb_zh": "智能体下一步该调用哪个工具或动作。", "short_en": "Which tool or action to call next.", "short_zh": "下一步该调用哪个工具或动作。" }, { "key": "intent-routing", "en": "Intent routing", "zh": "意图路由", "blurb_en": "Classify what the user wants and send the request down the right branch.", "blurb_zh": "判断用户意图，把请求分流到正确的分支。", "short_en": "Classify what the user wants, then route.", "short_zh": "判断用户意图，再做分流。" }, { "key": "context-compaction", "en": "Context compaction", "zh": "上下文压缩", "blurb_en": "Decide which tool calls and results still matter so stale context can be dropped.", "blurb_zh": "判断哪些工具调用和结果仍然相关，从而丢弃过期上下文。", "short_en": "Which tool calls and results still matter.", "short_zh": "哪些工具调用和结果仍然相关。" }, { "key": "safety-gating", "en": "Safety gating", "zh": "安全闸门", "blurb_en": "Decide whether an action is safe to run. Defence in depth, never a security boundary.", "blurb_zh": "在执行前判断一个动作是否安全。属纵深防御，绝不是安全边界。", "short_en": "Whether an action is safe to run. Defence in depth, not a boundary.", "short_zh": "一个动作是否可以安全执行。属纵深防御，不是安全边界。" }, { "key": "output-validation", "en": "Output validation", "zh": "输出校验", "blurb_en": "Check a model's output against a rubric before it reaches a user.", "blurb_zh": "在输出到达用户前，按评分标准检查模型产出。", "short_en": "Check output against a rubric before it ships.", "short_zh": "在输出发出前按评分标准检查。" }, { "key": "retry-control", "en": "Retry control", "zh": "重试控制", "blurb_en": "Decide whether a failed step is worth retrying.", "blurb_zh": "判断失败的步骤是否值得重试。", "short_en": "Whether a failed step is worth retrying.", "short_zh": "失败的步骤是否值得重试。" }, { "key": "human-escalation", "en": "Human escalation", "zh": "人工升级", "blurb_en": "Use calibrated confidence to decide what a person must see.", "blurb_zh": "用校准置信度决定哪些情况必须由人来看。", "short_en": "Use calibrated confidence to decide what a person sees.", "short_zh": "用校准置信度决定哪些交给人看。" }, { "key": "model-routing", "en": "Model routing", "zh": "模型路由", "blurb_en": "Pick which downstream model or tier should handle a request.", "blurb_zh": "选择由哪个下游模型或档位处理请求。", "short_en": "Which downstream model or tier handles a request.", "short_zh": "由哪个下游模型或档位处理请求。" }, { "key": "fan-out", "en": "Speculative fan-out", "zh": "并行扇出", "blurb_en": "Pack many questions — including speculative ones — into one request and let code pick what mattered.", "blurb_zh": "把大量问题（包括推测性的）打包进一次请求，再由代码挑出真正用得上的答案。", "short_en": "Many questions in one request; code picks what mattered.", "short_zh": "一次请求问很多问题，由代码挑出有用的。" }, { "key": "search-ranking", "en": "Search & ranking", "zh": "检索与排序", "blurb_en": "Score or re-rank candidates from a cheaper retrieval step.", "blurb_zh": "对来自廉价检索步骤的候选做打分或重排。", "short_en": "Score or re-rank candidates from cheaper retrieval.", "short_zh": "对廉价检索的候选做打分或重排。" }, { "key": "data-extraction", "en": "Structured extraction", "zh": "结构化抽取", "blurb_en": "Pull typed fields out of messy text by choosing among candidates rather than generating them.", "blurb_zh": "从杂乱文本中取出类型化字段 —— 靠在候选中选择，而不是生成。", "short_en": "Select typed values rather than generating them.", "short_zh": "靠选择而非生成来取出类型化字段。" }, { "key": "classification", "en": "Classification", "zh": "分类", "blurb_en": "Put an item into a taxonomy, including deep hierarchies walked with probabilities.", "blurb_zh": "把条目归入分类体系，包括用概率遍历的深层层级。", "short_en": "Place an item in a taxonomy, hierarchies included.", "short_zh": "把条目归入分类体系，含深层层级。" }, { "key": "feature-extraction", "en": "ML feature extraction", "zh": "机器学习特征抽取", "blurb_en": "Turn free text into numeric features for a classical downstream model.", "blurb_zh": "把自由文本转成数值特征，喂给下游的传统模型。", "short_en": "Text into numeric features for a classical model.", "short_zh": "把文本转成数值特征喂给传统模型。" }, { "key": "document-triage", "en": "Document triage", "zh": "文档分拣", "blurb_en": "Classify and route incoming documents, invoices and forms.", "blurb_zh": "对进来的文档、发票、表单做分类和路由。", "short_en": "Classify and route incoming documents.", "short_zh": "对进来的文档做分类和路由。" }, { "key": "support-triage", "en": "Support triage", "zh": "工单分拣", "blurb_en": "Route support tickets and conversations by intent and urgency.", "blurb_zh": "按意图和紧急度路由支持工单与会话。", "short_en": "Route tickets by intent and urgency.", "short_zh": "按意图和紧急度路由工单。" }, { "key": "content-scoring", "en": "Content scoring", "zh": "内容评分", "blurb_en": "Score quality, risk or relevance on an ordered scale.", "blurb_zh": "在有序量表上给质量、风险或相关性打分。", "short_en": "Quality, risk or relevance on an ordered scale.", "short_zh": "在有序量表上评质量、风险或相关性。" }, { "key": "recommendation", "en": "Recommendation", "zh": "实时推荐", "blurb_en": "Choose what to surface next, fast enough for a live conversation.", "blurb_zh": "选择下一步呈现什么，快到能用在实时会话里。", "short_en": "What to surface next, fast enough to be live.", "short_zh": "下一步呈现什么，快到能实时用。" }, { "key": "overview", "en": "Overview", "zh": "总览", "blurb_en": "Surveys the model or the space rather than one pattern.", "blurb_zh": "介绍模型或整个领域，而非单一模式。", "short_en": "Surveys the model or the space, not one pattern.", "short_zh": "介绍模型或领域，而非单一模式。" } ] }