e9c1f3d9b7
Diagram generator takes a locale (en|zh) via a label dictionary; render.sh now emits img/ and img/zh/. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Bg6jx9vHNHzB91qyV64GQ7
253 lines
17 KiB
JavaScript
253 lines
17 KiB
JavaScript
// Chinese labels for the external diagrams. Keys are the English strings in gen.mjs.
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// Code identifiers (state names, ports, tech names) are intentionally left untranslated.
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export default {
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// 01 system context
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'External systems': '外部系统',
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'Trading platform': '交易平台',
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'bids · clearing · disclosures': '申报 · 出清 · 信息披露',
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'Dispatch / load mgmt': '调度 / 负荷管理系统',
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'regulation requests': '调节指令与需求',
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'Metering / settlement': '计量结算系统',
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'meter data · statements': '计量数据 · 结算单',
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'Weather & market data': '气象与行情数据',
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'read-only feeds': '只读数据源',
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'VPP AI Platform': '虚拟电厂 AI 平台',
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'Cognitive plane': '认知平面',
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'five LLM agents · agent runtime · workflows': '五类 LLM 智能体 · Agent Runtime · 工作流',
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'minutes to days': '分钟 ~ 天',
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'Safety chain': '可信执行链',
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'rule check → simulation → envelope / human approval → fresh check → permit': '规则校核 → 仿真验证 → 包络检查 / 人工审批 → 现势复核 → 执行许可',
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'deterministic · the only path between planes': '确定性 · 两平面之间唯一通道',
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'Control plane': '控制平面',
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'execution engine · edge terminals · seconds': '执行引擎 · 边缘控制终端 · 秒级',
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'Data foundation': '数据底座',
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'time-series · relational · knowledge/vector · feature store · event log': '时序库 · 关系库 · 知识库/向量库 · 特征库 · 事件日志',
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'Proposal (digest + lineage)': 'Proposal（摘要 + 血缘）',
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'bid + permit': '申报 + 许可',
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'Operators': '运营人员',
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'Case Desk · approvals': '运营工单台 · 审批',
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'scenario forks · AI cards': '情景分支 · AI 结论卡片',
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'Flexible resources': '可调资源',
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'PV · storage · EV charging': '光伏 · 储能 · 充电桩',
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'HVAC · industrial · microgrids': '空调 · 工业负荷 · 微网园区',
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'execution feedback': '执行反馈',
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'31 MW today → ≥ 80 MW target': '现状 31 MW → 目标 ≥ 80 MW',
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'LLM': 'LLM',
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'NO LLM': '无 LLM',
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// 02 agent runtime
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'Task triggers': '任务触发',
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'Scheduled': '周期触发',
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'day-ahead 06:00 · bid window · D+1 review': '日前 06:00 · 申报窗口 · D+1 复盘',
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'Event': '事件触发',
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'deviation · resource offline · clearing': '偏差超阈 · 资源离线 · 出清',
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'Manual': '人工触发',
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'operator question or task': '运营人员提问或下达任务',
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'Router agent': '路由 Agent',
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'intent → template id + params': '意图 → 模板 id + 参数',
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'schema-constrained enum': '输出受 schema 枚举约束',
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'Workflow engine': '工作流引擎',
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'deterministic step chains': '确定性步骤链',
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'durable · suspend/resume': '持久化 · 可挂起/恢复',
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'one template per business process': '每个业务流程一个模板',
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'no LLM in the path': '路径上无 LLM',
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'rule-matched': '规则匹配',
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'Agent step': 'Agent 步骤',
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'one of five agents, invoked at a step': '五类智能体之一，在特定步骤被调用',
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'tools whitelisted per agent': '每个 Agent 的工具集为白名单',
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'Tool registry': '工具注册表',
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'typed, versioned skill contracts': '类型化、版本化的 Skill 契约',
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'every call snapshotted into lineage': '每次调用快照写入血缘',
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'Python skill services': 'Python Skill 服务',
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'forecast · MILP · simulation': '预测 · MILP 优化 · 仿真',
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'Proposal → safety chain': 'Proposal → 可信执行链',
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'numbers dereferenced from lineage': '数字从血缘解引用取得',
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'Event log (event-sourced): triggers, steps, tool calls, transitions, approvals, permits, receipts': '事件日志（事件溯源）：触发、步骤、工具调用、状态迁移、审批、许可、回执',
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'LLM involved': 'LLM 参与',
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'Deterministic': '确定性',
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'Workflows are the entry point, not agents. The LLM decides what to do (pick a template); the engine decides how, step by step.': '工作流才是入口，Agent 不是。LLM 决定「做什么」（选模板），工作流引擎决定「怎么按步骤做」。',
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// 03 context & memory
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'Context assembly for one agent step · deterministic baseline + progressive disclosure': '单个 Agent 步骤的上下文组装 · 确定性基线 + 渐进式披露',
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'Position ledger': '持仓账本',
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'versioned read': '带版本号读取',
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'Time-series / snapshots': '时序库 / 快照',
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'immutable, checksummed': '不可变、带校验和',
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'Semantic memory': '语义记忆',
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'lessons declared by template': '由流程模板显式声明注入的经验',
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'Knowledge base (RAG)': '知识库（RAG）',
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'effective rules only': '仅检索生效中的规则条目',
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'fetchContext step (deterministic, reproducible)': 'fetchContext 步骤（确定性、可复现）',
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'compact baseline: summaries, identifiers, the few figures a step needs': '精简基线：摘要、标识符，以及该步骤所需的少量数字',
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'Agentic retrieval tools · read-only · whitelisted · every call logged into lineage': '智能体检索工具 · 只读 · 白名单 · 每次调用写入血缘',
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'rule retrieval · ledger read · snapshot fetch · forecast lookup — detail disclosed on demand, retrieved content tagged as data': '规则检索 · 账本读取 · 快照获取 · 预测查询 —— 细节按需披露，检索内容标记为数据而非指令',
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'prose + tool calls': '文字说明 + 工具调用',
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'numbers only as': '数字只能以',
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'{toolCallId, path}': '{toolCallId, path}',
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'references': '引用形式出现',
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'Assembler': '组装器',
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'dereferences refs': '从血缘记录中',
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'from recorded lineage': '解引用填值',
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'→ Proposal': '→ Proposal',
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'LLM text cannot': 'LLM 文本无法',
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'carry a number': '带入任何数字',
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'Three memory layers': '三层记忆',
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'Working memory': '工作记忆',
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'current task context, intermediate results': '当前任务上下文与中间结果',
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'runtime memory · task lifetime': 'Runtime 内存 · 任务级生命周期',
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'step-to-step parameters preferred over memory': '步骤间传参优先，能不进记忆就不进',
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'Episodic memory': '情景记忆',
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'operating states, trading, control, responses': '运行状态、交易、控制、用户响应',
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'event log + time-series · permanent (audit)': '事件日志 + 时序库 · 永久保存（审计）',
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'queried through fetchContext, not recalled': '经 fetchContext 确定性查询，不做自动召回',
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'structured lessons from D+1 review': 'D+1 复盘沉淀的结构化经验',
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'knowledge + strategy store · versioned': '知识库 + 策略库 · 版本化',
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'written by ReviewFinding, injected explicitly': '由 ReviewFinding 写入，按模板显式注入',
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'Authoritative facts live in the domain database, never in agent memory (invariant I8). No automatic memory recall feeds production decisions.': '运营事实的权威存储是领域数据库，而非智能体记忆（不变式 I8）。生产决策不依赖任何自动记忆召回。',
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// 04 safety chain
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'agent output': 'Agent 生成',
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'policy pack': '政策包校核',
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'backtest / balance': '收益回测 / 功率平衡',
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'within bounds?': '是否在包络内',
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'auto or human': '自动或人工',
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're-verify state': '重验现势',
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'permit issued': '签发执行许可',
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'gateway accepts': '网关凭许可受理',
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'Safety chain · deterministic · shared by every proposal type': '可信执行链 · 确定性 · 所有 Proposal 类型共用',
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'suspended run · Case Desk inbox': '工作流挂起 · 进入工单台审批收件箱',
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'outside envelope': '包络外',
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'sim warning': '仿真告警',
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'human resume': '人工裁决恢复',
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'approver ≠ originator (I1)': '审批人 ≠ 发起链路（I1）',
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'within envelope → AUTO_APPROVED': '包络内 → AUTO_APPROVED',
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'rule failure': '规则不通过',
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'human rejects': '人工驳回',
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'evidence changed': '实质证据已变化',
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're-enter chain': '重新走链',
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'→ ExecutionReport → review': '→ ExecutionReport → 复盘',
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'Approval binds to the proposal digest and a validity window (I3). Gateways accept only (Proposal, ExecutionPermit): short-lived, revocable, digest-matched (I4).': '审批绑定 Proposal 的不可变摘要与有效窗口（I3）。网关只受理 (Proposal, ExecutionPermit)：短时效、可吊销、摘要一致（I4）。',
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'Simulation warnings always escalate to a human. No code path lets the AI reach APPROVED. Envelopes start empty and widen only on shadow-run evidence.': '仿真告警一票升级人工。不存在任何让 AI 到达 APPROVED 的代码路径。包络从空集起步，仅凭影子运行证据放宽。',
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// 05 tech stack
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'OPERATOR UI': '运营界面',
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'RUNTIME': 'RUNTIME',
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'SERVICES': '确定性服务',
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'CONTRACTS': '契约',
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'SKILLS': 'SKILLS',
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'DATA': '数据',
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'LLM BACKENDS': 'LLM 后端',
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'Case Desk': '运营工单台',
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'approval inbox · case view · lineage expansion': '审批收件箱 · 工单视图 · 血缘展开',
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'AI insight cards': 'AI 结论卡片',
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'read-only projections in existing business pages': '嵌入既有业务页面的只读投影',
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'TypeScript + Mastra': 'TypeScript + Mastra',
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'workflows (durable suspend/resume)': '工作流（持久化挂起/恢复）',
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'agents as controlled steps · tool registry': 'Agent 作为受控步骤 · 工具注册表',
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'Trigger service': '触发服务',
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'cron · event bus consumers': '定时 · 事件总线消费者',
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'router agent for manual requests': '人工请求经路由 Agent',
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'LLM port': 'LLM 抽象层',
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'capability interface + model router': '能力接口 + 模型路由器',
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'LLM-down mode for degraded runs': 'LLM 不可用时的降级运行模式',
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'Policy engine': '政策包引擎',
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'versioned, tested policy packs': '版本化、带测试的政策包',
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'Envelope + authority': '包络 + 授权服务',
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'envelope match · fresh check · permits': '包络匹配 · 现势复核 · 执行许可',
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'Ledger + lineage': '账本 + 血缘',
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'position cascade · snapshots · assembler': '持仓约束级联 · 快照 · 组装器',
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'Gateways + Case Desk': '网关 + 工单台',
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'file export · simulation · cases': '文件导出 · 仿真网关 · 工单',
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'Domain schemas (zod)': '领域 schema（zod）',
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'single source of truth': '唯一事实来源',
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'JSON Schema': 'JSON Schema',
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'exported, committed, versioned': '构建导出、入库、版本化',
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'Golden fixtures': '黄金样例',
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'validated by both CIs': '两端 CI 共同校验',
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'Python services (FastAPI)': 'Python 服务（FastAPI）',
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'load / PV / price forecasts with quantiles': '负荷 / 光伏 / 电价预测（带分位数区间）',
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'bid MILP · dispatch MILP · potential · report': '报价 MILP · 调度 MILP · 潜力辨识 · 报告生成',
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'Generated pydantic models': '生成的 pydantic 模型',
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'never hand-edited': '禁止手改',
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'PostgreSQL + pgvector': 'PostgreSQL + pgvector',
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'relational · knowledge · outbox events': '关系数据 · 知识库 · outbox 事件',
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'TimescaleDB / IoTDB': 'TimescaleDB / IoTDB',
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'telemetry curves': '遥测曲线',
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'Object storage': '对象存储',
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'snapshots · archives': '快照 · 归档',
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'Kafka (phase 2)': 'Kafka（二期）',
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'outbox relay, same interface': 'outbox 中继，消费者接口不变',
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'Commercial API': '商用 API',
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'development': '开发期',
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'Local open model': '本地开源模型',
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'pre-production': '预生产',
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'GuangMing Power LLM': '光明电力大模型',
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'production, on-prem adapter': '生产环境，本地化部署适配器',
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'Backend swaps are gated by the L1 evaluation set and an L4 shadow comparison, not judgment. About a third of the platform is framework; the differentiating parts are the deterministic services.': '切换 LLM 后端以 L1 评测集与 L4 影子对比为门禁，而非主观判断。框架约解决三分之一的问题，差异化资产是自建的确定性服务。',
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// 06 contracts
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'Contract pipeline (one source of truth)': '契约管线（唯一事实来源）',
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'zod schemas': 'zod schemas',
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'packages/domain · hand-written': 'packages/domain · 唯一手写处',
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'build export': '构建导出',
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'contracts/ · committed · versioned': 'contracts/ · 入库 · 版本化',
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'codegen': '代码生成',
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'pydantic models': 'pydantic models',
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'generated · never hand-edited': '生成物 · 禁止手改',
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'valid + invalid samples per object': '每类对象的正例 + 反例',
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'TS CI and Python CI both validate every fixture; any disagreement fails the build': 'TS CI 与 Python CI 各自校验全部样例；两端结论不一致即构建失败',
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'Ports = trust boundaries (deterministic, not exposed to the LLM)': '端口 = 信任边界（确定性，不暴露给 LLM）',
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'the only way into the safety chain': '进入可信执行链的唯一入口',
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'rule check and simulation': '规则校核与仿真验证',
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'envelope match · fresh check · permits · revoke': '包络匹配 · 现势复核 · 签发/吊销许可',
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'accepts (Proposal, ExecutionPermit) only': '只受理 (Proposal, ExecutionPermit)',
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'versioned ledger · event-sourced evidence': '带版本账本 · 事件溯源证据',
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'open · read · apply command · watch': '开单 · 读取 · 执行命令 · 订阅',
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'Cross-process interfaces and data representation rules': '跨进程接口与数据表示纪律',
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'TS runtime → Python skills': 'TS Runtime → Python Skills',
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'HTTP/JSON, schema-validated both ends': 'HTTP/JSON，两端按 schema 校验',
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'Case Desk / front end → runtime': '工单台 / 前端 → Runtime',
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'HTTP/JSON approvals and case API': 'HTTP/JSON 审批与工单 API',
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'anti-corruption adapters, raw + translated logged': '防腐层适配器，原始报文与转换对象双向留痕',
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'Edge control link': '边缘控制链路',
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'grid protocol stack, outside the JSON domain': '国网标准协议栈，不属于 JSON 契约域',
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'Money, energy and prices as fixed-point decimal strings · units in field names (power_mw, price_yuan_per_mwh) · ISO 8601 UTC · intervals as {date, interval_index}': '金额 / 电量 / 电价用定点小数字符串 · 单位编进字段名（power_mw, price_yuan_per_mwh）· ISO 8601 UTC · 时段用 {date, interval_index}',
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'all IDs strings · enums UPPER_SNAKE · breaking schema changes bump the major version and ship a migration note': '全部 ID 为字符串 · 枚举 UPPER_SNAKE · 破坏性 schema 变更须升主版本并附迁移说明',
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// 07 eval-driven
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'Four evaluation layers': '四层评测对象',
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'End-to-end decision quality': '端到端决策质量',
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'shadow run · historical backtest · counterfactual attribution': '影子运行 · 历史回测 · 反事实归因',
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'Safety chain correctness': '可信执行链正确性',
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'policy pack tests · invariant tests I1–I8 · red-team cases': '政策包测试 · 不变式测试 I1–I8 · 红队用例',
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'Professional-model skills': '专业模型 Skill',
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'MAPE · interval coverage · solver quality vs. bounds': 'MAPE · 区间覆盖率 · 求解质量对比上下界',
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'LLM tasks': 'LLM 任务',
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'routing accuracy · schema compliance · numeric consistency': '路由准确率 · schema 合规率 · 数字一致性',
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'A problem at L4 is localised to the layer that caused it.': 'L4 出问题时可定位到引起它的那一层。',
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'Change gates: what must pass before a change ships': '变更门禁：什么变更必须通过什么评测',
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'Prompt / agent instructions': '提示词 / Agent 指令',
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'L1 task set + L4 fixed-day backtest, no regression': 'L1 相关任务集 + L4 固定历史日回测无回退',
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'LLM backend switch': 'LLM 后端切换',
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'full L1 set + L4 shadow comparison vs. baseline': 'L1 全集 + L4 影子对比达到基线约定比例',
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'Skill model upgrade': 'Skill 模型升版',
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'all L2 metrics for that skill + downstream L4 backtest': '该 Skill 的 L2 全指标 + 下游 L4 回测',
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'Policy pack upgrade': '政策包升版',
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'L3 pack tests green + impact analysis on pending proposals': 'L3 政策包测试全绿 + 存量 Proposal 影响分析',
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'Contract schema change': '契约 schema 变更',
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'golden fixtures on both sides + compatibility check': '双端黄金样例 + 兼容性检查',
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'Envelope widening': '包络放宽',
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'L4 shadow / online evidence only — no data, no widening': '仅凭 L4 影子 / 在线数据审批 —— 无数据不放宽',
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'The audit trail is the evaluation dataset': '审计留痕即评测数据集',
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'Production run': '生产运行',
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'event log + immutable snapshots': '事件日志 + 不可变快照',
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'Replay datasets': '历史重放集',
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'representative days, frozen': '固化的代表日',
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'Eval run (archived)': '评测运行（留档）',
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'committed baseline, CI --check': '已提交基线，CI --check',
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'ReviewFinding': 'ReviewFinding',
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'D+1 attribution': 'D+1 偏差归因',
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'New eval cases': '新评测用例',
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'every finding → candidate case': '每条复盘结论 → 候选用例',
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}
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