test: add agent evals and safe observability
This commit is contained in:
Jesse_Chen
@@ -3212,3 +3212,18 @@
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- 防复发：普通咨询只能持久化 canonical consultation domain，独立产品 ID 永不进入 `chat_sessions.theme`；多域执行必须保序、去重、逐域产生真实 receipt，未执行能力不得伪装为 `general` 或 verified；accepted 不得升级为 confirmed，Activity 不得从 Agent 正文推导；所有独立产品写入/计算 API 必须执行服务端 fail-closed gate，数据库迁移保持前向兼容且默认关闭未发布产品。
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- 相关记录：BUG-159、BUG-181、BUG-185、BUG-188
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- 修复版本：本次功能分支提交（精确 SHA 以提交与远程分支核对结果为准；未合并 main/staging，未部署）
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## BUG-190 | Agent 评测缺少完整去标识化场景，观测日志无严格非 PII 合同
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- 状态：resolved（本地候选，未部署）
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- 首次发现：2026-08-14
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- 最近更新：2026-08-14
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- 影响面：普通咨询、生时校正、个人报告与安全边界的 Agent 回归评测；普通咨询 Agent 运行时日志、用量与结算观测。
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- 用户现象：仓库缺少一套按多轮业务场景统一组织的 Agent golden dataset，无法确定性证明 Skill/工具合同、证据引用闭环、主题覆盖、精确时间边界与校时焦点；自然度等模型评审项也容易被误写成事实门禁。普通咨询运行日志使用拼接字符串且字段零散，没有统一的严格 allowlist，后续增加正文、异常消息、出生资料、密钥或内部路径时缺少 fail-closed 保护。
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- 触发条件：新增或修改普通咨询、校时、报告、安全行为但只运行局部单元测试；把模型评审结果当成事实通过条件；向 Agent 日志添加任意字段或直接记录原始异常消息。
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- 根因：没有版本化、去标识化、多轮 golden dataset 与通用 deterministic scorer；评测事实门禁、模型评审和性能统计未分层。运行观测沿用 route 内自由拼接日志，没有闭合 schema、受控错误码和未知字段拒绝机制。
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- 修复：新增 `agent_golden_dataset.v1`，以 intent code/context tags 表达 34 个 synthetic 多轮场景，完整覆盖五个核心咨询主题、多主题/改问/无出生分钟/accepted-confirmed 边界，校时多事件与不同精度、更正/拒答/跳过/承接/长会话/候选采用确认，报告完整/部分/冲突证据与 accepted 时间、多主题，以及 prompt、凭据、内部路径、高风险确定性请求和伪造出生资料/candidate ID。新增确定性 scorers，分别检查 Skill/工具合同、引用集合闭包、canonical 主题覆盖、规则型 unsupported facts、精确时间违规、校时焦点、工具经济性与延迟/成本统计；引用闭环只接受本轮 `availableEvidenceIds`/`producedEvidenceIds` 中且属于 case catalog 的证据，`fact`/`timing` 不得用 `requiresEvidence=false` 绕过，`accepted` 与 `confirmed` minute 显式分离且后者只在明确 gate/consent case 放行。自然度、重复性、follow-up relevance 和模型型 unsupported-fact review 只产生显式 `pending` 输入。新增严格非 PII Agent observability schema/logger，未知或禁止字段 fail closed、sink 失败不影响业务、异常只映射为受控错误码，并将普通咨询现有 `logRun`/usage/结算接入结构化日志；取消结算重试耗尽时记录 `failed`/`settlement_failed`，不得伪记为 `cancelled`。
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- 验证：PR-8 combined focused TypeScript 矩阵 97 passed、0 failed；目标文件 ESLint 与 `git diff --check` 通过；fixture 隐私扫描未发现姓名、邮箱、真实出生日期/时间/地点、凭据、内部绝对路径或完整用户正文。全库 `tsc --noEmit` 仍只有 5 个既有无关测试错误：`production-data-migration.test.ts` 两处 fixture 字段缺失、`staging-backend-workflows.test.ts` 三处低 target 正则 flag。未运行 quick/browser/accuracy/release 或 staging canary，未部署。
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- 防复发：golden fixture 只能保存 synthetic intent code/context tags，不得保存真实用户正文或出生资料；事实、权限、证据、状态与精确时间边界只能由确定性门禁判定，模型评审必须保持 pending 直到真实执行；catalog membership 不能替代本轮 evidence availability，`requiresEvidence` 不能关闭事实/时间证据规则，accepted 不得升级为 confirmed；Agent observability 不得加入自由格式 metadata、正文、prompt、messages、出生资料、身份信息、secret/API key、provider payload、stack 或内部路径，结算失败不得降级为 cancelled，公开 NDJSON 不得扩展为内部 telemetry。
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- 相关记录：BUG-181、BUG-186、BUG-187、BUG-188、BUG-189
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- 修复版本：本次功能分支提交（精确 SHA 以提交与远程分支核对结果为准；未合并 main/staging，未部署）
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@@ -10,6 +10,12 @@ import {
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import { blocksPromptExtraction } from "@/lib/consult-safety";
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import { consultationDomainSchema } from "@/lib/consultation-domain-registry";
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import { parseAgentReply } from "@/lib/agent-reply";
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import {
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logAgentObservability,
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settlementTelemetryOutcome,
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toAgentObservabilityErrorCode,
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type AgentSettlementResult,
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} from "@/lib/agent-observability";
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import {
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consultationEntrypointSchema,
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resolveConsultationQuestion,
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@@ -355,7 +361,7 @@ export async function POST(request: Request) {
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}
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async function cancel() {
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async function cancel(): Promise<AgentSettlementResult> {
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try {
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const result = await retryDetachedSettlement(async () => {
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const { data, error } = await accounting.rpc("cancel_consultation_credit", {
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@@ -371,11 +377,13 @@ export async function POST(request: Request) {
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if (!result.success && result.error_code !== "request_completed") {
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throw new CreditRpcError(result.error_code || "cancellation_rejected");
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}
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return "cancelled";
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} catch (error) {
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const reason = error instanceof Error ? error.name : "UnknownError";
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console.error(
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`[billing] cancellation failed request=${requestId} reason=${reason}`,
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);
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return "failed";
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}
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}
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@@ -404,7 +412,7 @@ export async function POST(request: Request) {
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techniqueTruth: string,
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workflowReceipt: WorkflowReceipt,
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agentExecutionReceipt?: AgentExecutionReceipt,
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) {
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): Promise<AgentSettlementResult> {
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try {
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const reply = parseAgentReply(rawTransformedText, consultationTheme);
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if (!reply.text) throw new Error("empty_agent_reply");
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@@ -434,17 +442,21 @@ export async function POST(request: Request) {
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if (!completion.success && completion.error_code !== "request_cancelled") {
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throw new CreditRpcError(completion.error_code || "completion_rejected");
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}
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return "completed";
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} catch (error) {
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await cancel();
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throw error;
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}
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}
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let settlement: Promise<void> | null = null;
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function settle(action: () => Promise<void>) {
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let settlement: Promise<AgentSettlementResult> | null = null;
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function settleResult(action: () => Promise<AgentSettlementResult>) {
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settlement ??= action();
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return settlement;
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}
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async function settle(action: () => Promise<AgentSettlementResult>): Promise<void> {
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await settleResult(action);
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}
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async function runAgenticConsultation(
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consultationMode: ConsultationBirthTimeMode,
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@@ -460,32 +472,82 @@ export async function POST(request: Request) {
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let logged = false;
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const markFirstActivity = () => { if (firstActivityMs < 0) firstActivityMs = Date.now() - agentStartedAt; };
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const markFirstText = () => { if (firstTextMs < 0) firstTextMs = Date.now() - agentStartedAt; };
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const logRun = (finishReason: string, settlementResult: string) => {
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const logRun = async (
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errorCode: string | undefined,
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settlementResult: AgentSettlementResult,
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) => {
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if (logged) return;
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logged = true;
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console.info([
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"[consult-agentic]",
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`request_id=${requestId}`,
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`run_id=${requestId}`,
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`session_id=${sessionId}`,
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`model_id=${selectedModel.id}`,
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`skill_loaded=${state.jyotishSkillLoaded}`,
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`skill_reference_read_count=${state.skillReferenceReadCount}`,
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`consultation_tool_call_count=${state.consultationToolCallCount}`,
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`consultation_tool_duration_ms=${state.consultationToolDurationMs ?? -1}`,
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`time_to_first_activity_ms=${firstActivityMs}`,
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`time_to_first_text_ms=${firstTextMs}`,
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`total_duration_ms=${Date.now() - agentStartedAt}`,
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`finish_reason=${finishReason}`,
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`settlement_result=${settlementResult}`,
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].join(" "));
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const resolvedUsage: Usage = await mergeUsage(usages).catch(() => ({}));
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const inputTokens = Math.max(0, Math.trunc(resolvedUsage.inputTokens ?? 0));
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const outputTokens = Math.max(0, Math.trunc(resolvedUsage.outputTokens ?? 0));
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const skillStep = state.steps.find((step) => step.kind === "skill");
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const runStatus = errorCode === undefined
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? "completed"
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: errorCode === "cancelled"
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? "cancelled"
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: "failed";
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logAgentObservability({
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runId: requestId,
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requestId,
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sessionId,
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agentVersion: "consultation-agentic-v1",
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modelVersion: String(selectedModel.configVersion),
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policyVersion: "consultation-runtime-contract-v1",
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toolCalls: state.steps
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.filter((step) => step.kind === "tool")
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.map((step) => ({
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name: step.name,
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durationMs: Math.max(0, Math.trunc(step.durationMs ?? 0)),
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status: step.status,
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})),
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contractPhases: [
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{
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phase: "skill.load",
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...(skillStep?.durationMs === undefined
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? {}
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: { durationMs: Math.max(0, Math.trunc(skillStep.durationMs)) }),
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status: state.jyotishSkillLoaded ? "completed" : "failed",
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},
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{
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phase: "answer.first_activity",
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...(firstActivityMs < 0 ? {} : { durationMs: firstActivityMs }),
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status: firstActivityMs < 0 ? "skipped" : "completed",
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},
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{
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phase: "answer.first_output",
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...(firstTextMs < 0 ? {} : { durationMs: firstTextMs }),
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status: firstTextMs < 0 ? "skipped" : "completed",
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},
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{
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phase: "run.total",
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durationMs: Date.now() - agentStartedAt,
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status: runStatus,
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},
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{
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phase: "billing.settled",
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status: settlementResult,
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},
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],
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retryCount: Math.max(0, usages.length - 1),
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...(errorCode === undefined ? {} : { errorCode }),
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inputTokens,
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outputTokens,
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themeCoverage: state.workflowReceipt?.domains ?? [consultationTheme],
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billingSettlementResult: settlementResult,
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});
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};
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const settleRun = async (action: () => Promise<void>, finishReason: string, settlementResult: string) => {
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const settleRun = async (
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action: () => Promise<AgentSettlementResult>,
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errorCode: string | undefined,
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) => {
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try {
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await settle(action);
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logRun(finishReason, settlementResult);
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const actualSettlementResult = await settleResult(action);
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const outcome = settlementTelemetryOutcome(actualSettlementResult, errorCode);
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await logRun(outcome.errorCode, outcome.billingSettlementResult);
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} catch (error) {
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logRun("settlement_failed", "failed");
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const outcome = settlementTelemetryOutcome("failed", errorCode);
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await logRun(outcome.errorCode, outcome.billingSettlementResult);
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throw error;
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}
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};
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@@ -557,13 +619,12 @@ export async function POST(request: Request) {
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"not-applicable",
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workflowReceipt,
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agentExecutionReceipt,
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), "completed", "completed"),
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), undefined),
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onError: (error) => settleRun(
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cancel,
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error instanceof Error ? error.message : "failed",
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"cancelled",
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toAgentObservabilityErrorCode(error),
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),
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onCancel: () => settleRun(cancel, "cancelled", "cancelled"),
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onCancel: () => settleRun(cancel, "cancelled"),
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});
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}
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@@ -622,13 +683,12 @@ export async function POST(request: Request) {
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state.techniqueTruth ?? "unknown",
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state.workflowReceipt ?? workflowReceipt,
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agentExecutionReceipt,
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), "completed", "completed"),
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), undefined),
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onError: (error) => settleRun(
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cancel,
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error instanceof Error ? error.message : "failed",
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"cancelled",
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toAgentObservabilityErrorCode(error),
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),
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onCancel: () => settleRun(cancel, "cancelled", "cancelled"),
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onCancel: () => settleRun(cancel, "cancelled"),
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});
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}
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@@ -0,0 +1,796 @@
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import { z } from "zod";
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export const AGENT_GOLDEN_DATASET_VERSION = "agent_golden_dataset.v1" as const;
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export const agentEvalGroups = [
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"ordinary_consultation",
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"birth_time_rectification",
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"report",
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"safety",
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] as const;
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export type AgentEvalGroup = typeof agentEvalGroups[number];
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export const timingPrecisions = [
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"none",
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"broad_window",
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"year",
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"month",
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"day",
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"minute",
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] as const;
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export type TimingPrecision = typeof timingPrecisions[number];
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const identifierSchema = z.string().regex(
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/^[a-z][a-z0-9._-]{1,95}$/,
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"must be a stable lower-case identifier",
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);
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const conversationTurnSchema = z.object({
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turnId: identifierSchema,
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speaker: z.enum(["user", "assistant"]),
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intentCode: identifierSchema,
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contextTags: z.array(identifierSchema).min(1).max(12),
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syntheticSummaryOnly: z.literal(true),
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}).strict();
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const toolRequirementSchema = z.object({
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tool: identifierSchema,
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minCalls: z.number().int().positive().max(12),
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}).strict();
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const expectedOutcomeSchema = z.object({
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requiredSkillIds: z.array(identifierSchema).max(4),
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toolContract: z.object({
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required: z.array(toolRequirementSchema).max(12),
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allowed: z.array(identifierSchema).max(20),
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maxCalls: z.number().int().nonnegative().max(30),
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}).strict(),
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requestedThemes: z.array(identifierSchema).max(12),
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evidenceCatalog: z.array(identifierSchema).max(40),
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minEvidenceBackedClaims: z.number().int().nonnegative().max(40),
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timingPolicy: z.object({
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maxPrecision: z.enum(timingPrecisions),
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allowConfirmedExactMinute: z.boolean(),
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allowGuaranteedTiming: z.boolean(),
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}).strict(),
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rectificationFocus: z.object({
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expectedFocusId: identifierSchema,
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expectedDomain: identifierSchema,
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}).strict().nullable(),
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performanceBudget: z.object({
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maxLatencyMs: z.number().int().positive(),
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maxCostUsd: z.number().nonnegative(),
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}).strict(),
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pendingModelReviews: z.tuple([
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z.literal("naturalness_repetition"),
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z.literal("follow_up_relevance"),
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z.literal("unsupported_fact_model_review"),
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]),
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}).strict().superRefine((expected, context) => {
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const allowed = new Set(expected.toolContract.allowed);
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const requiredCalls = expected.toolContract.required.reduce(
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(sum, requirement) => sum + requirement.minCalls,
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0,
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);
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for (const requirement of expected.toolContract.required) {
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if (!allowed.has(requirement.tool)) {
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context.addIssue({
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code: z.ZodIssueCode.custom,
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path: ["toolContract", "allowed"],
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message: `${requirement.tool} must be allowlisted`,
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});
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}
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}
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if (requiredCalls > expected.toolContract.maxCalls) {
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context.addIssue({
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code: z.ZodIssueCode.custom,
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path: ["toolContract", "maxCalls"],
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message: "maxCalls cannot be lower than the required call floor",
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});
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}
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});
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const goldenCaseSchema = z.object({
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id: identifierSchema,
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group: z.enum(agentEvalGroups),
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subscenario: identifierSchema,
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turns: z.array(conversationTurnSchema).min(2).max(12),
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expected: expectedOutcomeSchema,
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}).strict().superRefine((goldenCase, context) => {
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if (goldenCase.group === "birth_time_rectification" && !goldenCase.expected.rectificationFocus) {
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context.addIssue({
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code: z.ZodIssueCode.custom,
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path: ["expected", "rectificationFocus"],
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message: "rectification cases require an expected focus",
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});
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}
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if (goldenCase.group !== "birth_time_rectification" && goldenCase.expected.rectificationFocus) {
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context.addIssue({
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code: z.ZodIssueCode.custom,
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path: ["expected", "rectificationFocus"],
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message: "only rectification cases may define an expected focus",
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});
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}
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});
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export const agentGoldenDatasetSchema = z.object({
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schemaVersion: z.literal(AGENT_GOLDEN_DATASET_VERSION),
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deidentification: z.object({
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mode: z.literal("synthetic_intent_codes_only"),
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rawUserTextIncluded: z.literal(false),
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}).strict(),
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cases: z.array(goldenCaseSchema).min(4),
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}).strict().superRefine((dataset, context) => {
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const ids = new Set<string>();
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for (const [index, goldenCase] of dataset.cases.entries()) {
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if (ids.has(goldenCase.id)) {
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context.addIssue({
|
||||
code: z.ZodIssueCode.custom,
|
||||
path: ["cases", index, "id"],
|
||||
message: `duplicate case id: ${goldenCase.id}`,
|
||||
});
|
||||
}
|
||||
ids.add(goldenCase.id);
|
||||
}
|
||||
|
||||
const coveredGroups = new Set(dataset.cases.map((goldenCase) => goldenCase.group));
|
||||
for (const group of agentEvalGroups) {
|
||||
if (!coveredGroups.has(group)) {
|
||||
context.addIssue({
|
||||
code: z.ZodIssueCode.custom,
|
||||
path: ["cases"],
|
||||
message: `missing eval group: ${group}`,
|
||||
});
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
export type AgentGoldenDataset = z.infer<typeof agentGoldenDatasetSchema>;
|
||||
export type AgentGoldenCase = AgentGoldenDataset["cases"][number];
|
||||
|
||||
export function parseAgentGoldenDataset(value: unknown): AgentGoldenDataset {
|
||||
const dataset = agentGoldenDatasetSchema.parse(value);
|
||||
const privacyViolations = findDatasetPrivacyViolations(dataset);
|
||||
if (privacyViolations.length > 0) {
|
||||
throw new Error(
|
||||
`agent golden dataset privacy violation: ${privacyViolations[0]?.rule} at ${privacyViolations[0]?.path}`,
|
||||
);
|
||||
}
|
||||
return dataset;
|
||||
}
|
||||
|
||||
export type AgentSkillExecution = Readonly<{
|
||||
skillId: string;
|
||||
status: "completed" | "failed" | "pending";
|
||||
}>;
|
||||
|
||||
export type AgentToolCall = Readonly<{
|
||||
tool: string;
|
||||
status: "completed" | "failed" | "pending";
|
||||
inputDigest?: string;
|
||||
latencyMs?: number;
|
||||
costUsd?: number;
|
||||
}>;
|
||||
|
||||
export type AgentClaim = Readonly<{
|
||||
claimId: string;
|
||||
kind: "fact" | "interpretation" | "recommendation" | "timing";
|
||||
requiresEvidence: boolean;
|
||||
evidenceIds: readonly string[];
|
||||
themeIds: readonly string[];
|
||||
timingPrecision?: TimingPrecision;
|
||||
timingModality?: "candidate" | "accepted" | "confirmed" | "guaranteed";
|
||||
}>;
|
||||
|
||||
export type AgentEvalRun = Readonly<{
|
||||
caseId: string;
|
||||
candidateResponse: string;
|
||||
skillExecutions: readonly AgentSkillExecution[];
|
||||
toolCalls: readonly AgentToolCall[];
|
||||
availableEvidenceIds: readonly string[];
|
||||
producedEvidenceIds: readonly string[];
|
||||
claims: readonly AgentClaim[];
|
||||
coveredThemes: readonly string[];
|
||||
rectificationFocus?: Readonly<{
|
||||
focusId: string | null;
|
||||
domain: string | null;
|
||||
}>;
|
||||
observability: Readonly<{
|
||||
latencyMs: number;
|
||||
costUsd: number;
|
||||
inputTokens?: number;
|
||||
outputTokens?: number;
|
||||
}>;
|
||||
}>;
|
||||
|
||||
export type DeterministicMetric<T> = Readonly<{
|
||||
evaluationMode: "deterministic";
|
||||
status: "passed" | "failed" | "not_applicable";
|
||||
score: number | null;
|
||||
details: T;
|
||||
}>;
|
||||
|
||||
function round(value: number, digits = 6) {
|
||||
const factor = 10 ** digits;
|
||||
return Math.round((value + Number.EPSILON) * factor) / factor;
|
||||
}
|
||||
|
||||
function ratio(numerator: number, denominator: number) {
|
||||
return denominator === 0 ? 1 : round(numerator / denominator);
|
||||
}
|
||||
|
||||
function completedToolCounts(run: AgentEvalRun) {
|
||||
const counts = new Map<string, number>();
|
||||
for (const call of run.toolCalls) {
|
||||
if (call.status !== "completed") continue;
|
||||
counts.set(call.tool, (counts.get(call.tool) ?? 0) + 1);
|
||||
}
|
||||
return counts;
|
||||
}
|
||||
|
||||
function missingToolRequirements(goldenCase: AgentGoldenCase, run: AgentEvalRun) {
|
||||
const completed = completedToolCounts(run);
|
||||
return goldenCase.expected.toolContract.required.flatMap((requirement) => {
|
||||
const actual = completed.get(requirement.tool) ?? 0;
|
||||
return actual >= requirement.minCalls
|
||||
? []
|
||||
: [{ tool: requirement.tool, expected: requirement.minCalls, actual }];
|
||||
});
|
||||
}
|
||||
|
||||
export function scoreSkillToolContractCompletion(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
missingSkills: readonly string[];
|
||||
missingTools: readonly Readonly<{ tool: string; expected: number; actual: number }>[];
|
||||
completedRequirements: number;
|
||||
totalRequirements: number;
|
||||
}> {
|
||||
const completedSkills = new Set(
|
||||
run.skillExecutions
|
||||
.filter((execution) => execution.status === "completed")
|
||||
.map((execution) => execution.skillId),
|
||||
);
|
||||
const missingSkills = goldenCase.expected.requiredSkillIds.filter(
|
||||
(skillId) => !completedSkills.has(skillId),
|
||||
);
|
||||
const missingTools = missingToolRequirements(goldenCase, run);
|
||||
const totalRequirements = goldenCase.expected.requiredSkillIds.length
|
||||
+ goldenCase.expected.toolContract.required.length;
|
||||
const completedRequirements = totalRequirements - missingSkills.length - missingTools.length;
|
||||
|
||||
if (totalRequirements === 0) {
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: "not_applicable",
|
||||
score: null,
|
||||
details: { missingSkills, missingTools, completedRequirements, totalRequirements },
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: missingSkills.length === 0 && missingTools.length === 0 ? "passed" : "failed",
|
||||
score: ratio(completedRequirements, totalRequirements),
|
||||
details: { missingSkills, missingTools, completedRequirements, totalRequirements },
|
||||
};
|
||||
}
|
||||
|
||||
function claimRequiresEvidence(claim: AgentClaim) {
|
||||
return claim.kind === "fact" || claim.kind === "timing" || claim.requiresEvidence;
|
||||
}
|
||||
|
||||
function runEvidenceIds(run: AgentEvalRun) {
|
||||
return new Set([...run.availableEvidenceIds, ...run.producedEvidenceIds]);
|
||||
}
|
||||
|
||||
function validEvidenceIds(goldenCase: AgentGoldenCase, run: AgentEvalRun, claim: AgentClaim) {
|
||||
const catalog = new Set(goldenCase.expected.evidenceCatalog);
|
||||
const available = runEvidenceIds(run);
|
||||
return claim.evidenceIds.filter(
|
||||
(evidenceId) => catalog.has(evidenceId) && available.has(evidenceId),
|
||||
);
|
||||
}
|
||||
|
||||
export function scoreEvidenceCitationClosure(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
requiredClaimCount: number;
|
||||
closedClaimIds: readonly string[];
|
||||
unclosedClaimIds: readonly string[];
|
||||
danglingEvidenceIds: readonly string[];
|
||||
uncatalogedEvidenceIds: readonly string[];
|
||||
unavailableEvidenceIds: readonly string[];
|
||||
missingExpectedClaims: number;
|
||||
}> {
|
||||
const evidenceRequiredClaims = run.claims.filter(claimRequiresEvidence);
|
||||
const catalog = new Set(goldenCase.expected.evidenceCatalog);
|
||||
const available = runEvidenceIds(run);
|
||||
const citedEvidenceIds = [...new Set(run.claims.flatMap((claim) => claim.evidenceIds))];
|
||||
const uncatalogedEvidenceIds = citedEvidenceIds.filter((evidenceId) => !catalog.has(evidenceId));
|
||||
const unavailableEvidenceIds = citedEvidenceIds.filter((evidenceId) => !available.has(evidenceId));
|
||||
const danglingEvidenceIds = citedEvidenceIds.filter(
|
||||
(evidenceId) => !catalog.has(evidenceId) || !available.has(evidenceId),
|
||||
);
|
||||
const closedClaimIds = evidenceRequiredClaims
|
||||
.filter((claim) => (
|
||||
claim.evidenceIds.length > 0
|
||||
&& claim.evidenceIds.every((id) => catalog.has(id) && available.has(id))
|
||||
))
|
||||
.map((claim) => claim.claimId);
|
||||
const unclosedClaimIds = evidenceRequiredClaims
|
||||
.filter((claim) => !closedClaimIds.includes(claim.claimId))
|
||||
.map((claim) => claim.claimId);
|
||||
const missingExpectedClaims = Math.max(
|
||||
0,
|
||||
goldenCase.expected.minEvidenceBackedClaims - evidenceRequiredClaims.length,
|
||||
);
|
||||
const denominator = Math.max(
|
||||
evidenceRequiredClaims.length,
|
||||
goldenCase.expected.minEvidenceBackedClaims,
|
||||
);
|
||||
const passed = unclosedClaimIds.length === 0
|
||||
&& danglingEvidenceIds.length === 0
|
||||
&& missingExpectedClaims === 0;
|
||||
|
||||
if (denominator === 0) {
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: danglingEvidenceIds.length === 0 ? "not_applicable" : "failed",
|
||||
score: danglingEvidenceIds.length === 0 ? null : 0,
|
||||
details: {
|
||||
requiredClaimCount: 0,
|
||||
closedClaimIds,
|
||||
unclosedClaimIds,
|
||||
danglingEvidenceIds,
|
||||
uncatalogedEvidenceIds,
|
||||
unavailableEvidenceIds,
|
||||
missingExpectedClaims,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: passed ? "passed" : "failed",
|
||||
score: passed ? 1 : ratio(closedClaimIds.length, denominator),
|
||||
details: {
|
||||
requiredClaimCount: evidenceRequiredClaims.length,
|
||||
closedClaimIds,
|
||||
unclosedClaimIds,
|
||||
danglingEvidenceIds,
|
||||
uncatalogedEvidenceIds,
|
||||
unavailableEvidenceIds,
|
||||
missingExpectedClaims,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
export function scoreRequestedThemeCoverage(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
requestedThemes: readonly string[];
|
||||
coveredThemes: readonly string[];
|
||||
missingThemes: readonly string[];
|
||||
}> {
|
||||
const covered = new Set([
|
||||
...run.coveredThemes,
|
||||
...run.claims.flatMap((claim) => claim.themeIds),
|
||||
]);
|
||||
const requestedThemes = goldenCase.expected.requestedThemes;
|
||||
const missingThemes = requestedThemes.filter((theme) => !covered.has(theme));
|
||||
|
||||
if (requestedThemes.length === 0) {
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: "not_applicable",
|
||||
score: null,
|
||||
details: { requestedThemes, coveredThemes: [...covered], missingThemes },
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: missingThemes.length === 0 ? "passed" : "failed",
|
||||
score: ratio(requestedThemes.length - missingThemes.length, requestedThemes.length),
|
||||
details: { requestedThemes, coveredThemes: [...covered], missingThemes },
|
||||
};
|
||||
}
|
||||
|
||||
export function countUnsupportedFactsByRule(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
count: number;
|
||||
claimIds: readonly string[];
|
||||
rule: "evidence_required_claim_without_valid_run_reference";
|
||||
}> {
|
||||
const claimIds = run.claims
|
||||
.filter((claim) => claimRequiresEvidence(claim) && validEvidenceIds(goldenCase, run, claim).length === 0)
|
||||
.map((claim) => claim.claimId);
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: claimIds.length === 0 ? "passed" : "failed",
|
||||
score: claimIds.length === 0 ? 1 : 0,
|
||||
details: {
|
||||
count: claimIds.length,
|
||||
claimIds,
|
||||
rule: "evidence_required_claim_without_valid_run_reference",
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
const precisionRank: Record<TimingPrecision, number> = {
|
||||
none: 0,
|
||||
broad_window: 1,
|
||||
year: 2,
|
||||
month: 3,
|
||||
day: 4,
|
||||
minute: 5,
|
||||
};
|
||||
|
||||
export function scorePreciseTimingViolations(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
count: number;
|
||||
violations: readonly Readonly<{ claimId: string; rules: readonly string[] }>[];
|
||||
}> {
|
||||
const policy = goldenCase.expected.timingPolicy;
|
||||
const violations = run.claims.flatMap((claim) => {
|
||||
if (claim.kind !== "timing") return [];
|
||||
const precision = claim.timingPrecision ?? "none";
|
||||
const modality = claim.timingModality ?? "candidate";
|
||||
const rules: string[] = [];
|
||||
if (precisionRank[precision] > precisionRank[policy.maxPrecision]) {
|
||||
rules.push("precision_exceeds_case_boundary");
|
||||
}
|
||||
if (
|
||||
precision === "minute"
|
||||
&& (modality === "confirmed" || modality === "guaranteed")
|
||||
&& !policy.allowConfirmedExactMinute
|
||||
) {
|
||||
rules.push("exact_minute_confirmation_forbidden");
|
||||
}
|
||||
if (modality === "guaranteed" && !policy.allowGuaranteedTiming) {
|
||||
rules.push("guaranteed_timing_forbidden");
|
||||
}
|
||||
return rules.length > 0 ? [{ claimId: claim.claimId, rules }] : [];
|
||||
});
|
||||
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: violations.length === 0 ? "passed" : "failed",
|
||||
score: violations.length === 0 ? 1 : 0,
|
||||
details: { count: violations.length, violations },
|
||||
};
|
||||
}
|
||||
|
||||
export function scoreRectificationFocusAccuracy(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
expectedFocusId: string | null;
|
||||
actualFocusId: string | null;
|
||||
expectedDomain: string | null;
|
||||
actualDomain: string | null;
|
||||
}> {
|
||||
const expected = goldenCase.expected.rectificationFocus;
|
||||
if (!expected) {
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: "not_applicable",
|
||||
score: null,
|
||||
details: {
|
||||
expectedFocusId: null,
|
||||
actualFocusId: run.rectificationFocus?.focusId ?? null,
|
||||
expectedDomain: null,
|
||||
actualDomain: run.rectificationFocus?.domain ?? null,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
const actualFocusId = run.rectificationFocus?.focusId ?? null;
|
||||
const actualDomain = run.rectificationFocus?.domain ?? null;
|
||||
const focusMatches = actualFocusId === expected.expectedFocusId;
|
||||
const domainMatches = actualDomain === expected.expectedDomain;
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: focusMatches && domainMatches ? "passed" : "failed",
|
||||
score: focusMatches && domainMatches ? 1 : focusMatches || domainMatches ? 0.5 : 0,
|
||||
details: {
|
||||
expectedFocusId: expected.expectedFocusId,
|
||||
actualFocusId,
|
||||
expectedDomain: expected.expectedDomain,
|
||||
actualDomain,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
export function scoreToolCallEconomy(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): DeterministicMetric<{
|
||||
totalCalls: number;
|
||||
maxCalls: number;
|
||||
failedCalls: number;
|
||||
pendingCalls: number;
|
||||
unallowedCalls: readonly string[];
|
||||
duplicateInputCalls: readonly string[];
|
||||
overBudgetCalls: number;
|
||||
missingRequiredTools: readonly Readonly<{ tool: string; expected: number; actual: number }>[];
|
||||
}> {
|
||||
const allowed = new Set(goldenCase.expected.toolContract.allowed);
|
||||
const failedCalls = run.toolCalls.filter((call) => call.status === "failed").length;
|
||||
const pendingCalls = run.toolCalls.filter((call) => call.status === "pending").length;
|
||||
const unallowedCalls = run.toolCalls
|
||||
.filter((call) => !allowed.has(call.tool))
|
||||
.map((call) => call.tool);
|
||||
const seenDigests = new Set<string>();
|
||||
const duplicateInputCalls: string[] = [];
|
||||
for (const call of run.toolCalls) {
|
||||
if (!call.inputDigest) continue;
|
||||
const key = `${call.tool}:${call.inputDigest}`;
|
||||
if (seenDigests.has(key)) duplicateInputCalls.push(key);
|
||||
seenDigests.add(key);
|
||||
}
|
||||
const overBudgetCalls = Math.max(
|
||||
0,
|
||||
run.toolCalls.length - goldenCase.expected.toolContract.maxCalls,
|
||||
);
|
||||
const missingRequiredTools = missingToolRequirements(goldenCase, run);
|
||||
const issueCount = failedCalls
|
||||
+ pendingCalls
|
||||
+ unallowedCalls.length
|
||||
+ duplicateInputCalls.length
|
||||
+ overBudgetCalls
|
||||
+ missingRequiredTools.length;
|
||||
const applicable = goldenCase.expected.toolContract.maxCalls > 0
|
||||
|| goldenCase.expected.toolContract.allowed.length > 0
|
||||
|| run.toolCalls.length > 0;
|
||||
|
||||
if (!applicable) {
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: "not_applicable",
|
||||
score: null,
|
||||
details: {
|
||||
totalCalls: 0,
|
||||
maxCalls: 0,
|
||||
failedCalls,
|
||||
pendingCalls,
|
||||
unallowedCalls,
|
||||
duplicateInputCalls,
|
||||
overBudgetCalls,
|
||||
missingRequiredTools,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: issueCount === 0 ? "passed" : "failed",
|
||||
score: issueCount === 0
|
||||
? 1
|
||||
: Math.max(0, round(1 - issueCount / Math.max(run.toolCalls.length + 1, 1))),
|
||||
details: {
|
||||
totalCalls: run.toolCalls.length,
|
||||
maxCalls: goldenCase.expected.toolContract.maxCalls,
|
||||
failedCalls,
|
||||
pendingCalls,
|
||||
unallowedCalls,
|
||||
duplicateInputCalls,
|
||||
overBudgetCalls,
|
||||
missingRequiredTools,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
type NumericStatistics = Readonly<{
|
||||
min: number;
|
||||
max: number;
|
||||
mean: number;
|
||||
p50: number;
|
||||
p95: number;
|
||||
total: number;
|
||||
}>;
|
||||
|
||||
function numericStatistics(values: readonly number[]): NumericStatistics {
|
||||
if (values.length === 0) {
|
||||
return { min: 0, max: 0, mean: 0, p50: 0, p95: 0, total: 0 };
|
||||
}
|
||||
const sorted = [...values].sort((left, right) => left - right);
|
||||
const total = sorted.reduce((sum, value) => sum + value, 0);
|
||||
const nearestRank = (percentile: number) => {
|
||||
const index = Math.max(0, Math.ceil(percentile * sorted.length) - 1);
|
||||
return sorted[index] ?? 0;
|
||||
};
|
||||
return {
|
||||
min: round(sorted[0] ?? 0),
|
||||
max: round(sorted[sorted.length - 1] ?? 0),
|
||||
mean: round(total / sorted.length),
|
||||
p50: round(nearestRank(0.5)),
|
||||
p95: round(nearestRank(0.95)),
|
||||
total: round(total),
|
||||
};
|
||||
}
|
||||
|
||||
export function summarizeLatencyAndCost(
|
||||
cases: readonly AgentGoldenCase[],
|
||||
runs: readonly AgentEvalRun[],
|
||||
): DeterministicMetric<{
|
||||
runCount: number;
|
||||
latencyMs: NumericStatistics;
|
||||
costUsd: NumericStatistics;
|
||||
inputTokens: NumericStatistics;
|
||||
outputTokens: NumericStatistics;
|
||||
latencyBudgetBreaches: readonly string[];
|
||||
costBudgetBreaches: readonly string[];
|
||||
}> {
|
||||
const casesById = new Map(cases.map((goldenCase) => [goldenCase.id, goldenCase]));
|
||||
const latencyBudgetBreaches: string[] = [];
|
||||
const costBudgetBreaches: string[] = [];
|
||||
for (const run of runs) {
|
||||
const goldenCase = casesById.get(run.caseId);
|
||||
if (!goldenCase) throw new Error(`missing golden case for run: ${run.caseId}`);
|
||||
if (run.observability.latencyMs > goldenCase.expected.performanceBudget.maxLatencyMs) {
|
||||
latencyBudgetBreaches.push(run.caseId);
|
||||
}
|
||||
if (run.observability.costUsd > goldenCase.expected.performanceBudget.maxCostUsd) {
|
||||
costBudgetBreaches.push(run.caseId);
|
||||
}
|
||||
}
|
||||
const breachCount = latencyBudgetBreaches.length + costBudgetBreaches.length;
|
||||
const budgetChecks = runs.length * 2;
|
||||
return {
|
||||
evaluationMode: "deterministic",
|
||||
status: breachCount === 0 ? "passed" : "failed",
|
||||
score: ratio(budgetChecks - breachCount, budgetChecks),
|
||||
details: {
|
||||
runCount: runs.length,
|
||||
latencyMs: numericStatistics(runs.map((run) => run.observability.latencyMs)),
|
||||
costUsd: numericStatistics(runs.map((run) => run.observability.costUsd)),
|
||||
inputTokens: numericStatistics(runs.map((run) => run.observability.inputTokens ?? 0)),
|
||||
outputTokens: numericStatistics(runs.map((run) => run.observability.outputTokens ?? 0)),
|
||||
latencyBudgetBreaches,
|
||||
costBudgetBreaches,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
export const pendingModelReviewCriteria = [
|
||||
"naturalness_repetition",
|
||||
"follow_up_relevance",
|
||||
"unsupported_fact_model_review",
|
||||
] as const;
|
||||
|
||||
export type PendingModelReview = Readonly<{
|
||||
evaluationMode: "model_review";
|
||||
status: "pending";
|
||||
criterion: typeof pendingModelReviewCriteria[number];
|
||||
caseId: string;
|
||||
input: Readonly<{
|
||||
candidateResponse: string;
|
||||
conversationIntentCodes: readonly string[];
|
||||
structuredClaimIds: readonly string[];
|
||||
}>;
|
||||
}>;
|
||||
|
||||
export function createPendingModelReviewInputs(
|
||||
goldenCase: AgentGoldenCase,
|
||||
run: AgentEvalRun,
|
||||
): readonly PendingModelReview[] {
|
||||
const input = {
|
||||
candidateResponse: run.candidateResponse,
|
||||
conversationIntentCodes: goldenCase.turns.map((turn) => turn.intentCode),
|
||||
structuredClaimIds: run.claims.map((claim) => claim.claimId),
|
||||
};
|
||||
return goldenCase.expected.pendingModelReviews.map((criterion) => ({
|
||||
evaluationMode: "model_review" as const,
|
||||
status: "pending" as const,
|
||||
criterion,
|
||||
caseId: goldenCase.id,
|
||||
input,
|
||||
}));
|
||||
}
|
||||
|
||||
export function evaluateAgentRun(goldenCase: AgentGoldenCase, run: AgentEvalRun) {
|
||||
if (goldenCase.id !== run.caseId) {
|
||||
throw new Error(`run caseId ${run.caseId} does not match golden case ${goldenCase.id}`);
|
||||
}
|
||||
return {
|
||||
caseId: goldenCase.id,
|
||||
deterministic: {
|
||||
skillToolContractCompletion: scoreSkillToolContractCompletion(goldenCase, run),
|
||||
evidenceCitationClosure: scoreEvidenceCitationClosure(goldenCase, run),
|
||||
requestedThemeCoverage: scoreRequestedThemeCoverage(goldenCase, run),
|
||||
unsupportedFactRuleCount: countUnsupportedFactsByRule(goldenCase, run),
|
||||
preciseTimingViolation: scorePreciseTimingViolations(goldenCase, run),
|
||||
rectificationFocusAccuracy: scoreRectificationFocusAccuracy(goldenCase, run),
|
||||
toolCallEconomy: scoreToolCallEconomy(goldenCase, run),
|
||||
latencyCostStatistics: summarizeLatencyAndCost([goldenCase], [run]),
|
||||
},
|
||||
modelReview: createPendingModelReviewInputs(goldenCase, run),
|
||||
} as const;
|
||||
}
|
||||
|
||||
export type DatasetPrivacyViolation = Readonly<{
|
||||
path: string;
|
||||
rule:
|
||||
| "forbidden_identity_field"
|
||||
| "raw_user_text_field"
|
||||
| "email"
|
||||
| "birth_date"
|
||||
| "clock_time"
|
||||
| "api_credential"
|
||||
| "internal_absolute_path";
|
||||
}>;
|
||||
|
||||
const forbiddenIdentityKeys = new Set([
|
||||
"name",
|
||||
"fullname",
|
||||
"displayname",
|
||||
"email",
|
||||
"birthdate",
|
||||
"birthtime",
|
||||
"birthplace",
|
||||
"location",
|
||||
"latitude",
|
||||
"longitude",
|
||||
]);
|
||||
const rawUserTextKeys = new Set([
|
||||
"content",
|
||||
"text",
|
||||
"message",
|
||||
"prompt",
|
||||
"rawusertext",
|
||||
"usertext",
|
||||
"quote",
|
||||
]);
|
||||
|
||||
export function findDatasetPrivacyViolations(value: unknown): readonly DatasetPrivacyViolation[] {
|
||||
const violations: DatasetPrivacyViolation[] = [];
|
||||
const visit = (current: unknown, path: string) => {
|
||||
if (typeof current === "string") {
|
||||
if (/\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b/i.test(current)) {
|
||||
violations.push({ path, rule: "email" });
|
||||
}
|
||||
if (/\b(?:19|20)\d{2}[-/.年](?:0?[1-9]|1[0-2])[-/.月](?:0?[1-9]|[12]\d|3[01])日?\b/.test(current)) {
|
||||
violations.push({ path, rule: "birth_date" });
|
||||
}
|
||||
if (/(?:^|\D)(?:[01]?\d|2[0-3]):[0-5]\d(?:\D|$)/.test(current)) {
|
||||
violations.push({ path, rule: "clock_time" });
|
||||
}
|
||||
if (/(?:^|[^A-Za-z0-9])(?:sk-[A-Za-z0-9_-]{12,}|api[_ -]?key\s*[:=]|bearer\s+[A-Za-z0-9._-]{12,})/i.test(current)) {
|
||||
violations.push({ path, rule: "api_credential" });
|
||||
}
|
||||
if (/(?:\/Users\/|\/home\/|\/opt\/|\/private\/|[A-Za-z]:\\Users\\)/.test(current)) {
|
||||
violations.push({ path, rule: "internal_absolute_path" });
|
||||
}
|
||||
return;
|
||||
}
|
||||
if (Array.isArray(current)) {
|
||||
current.forEach((item, index) => visit(item, `${path}[${index}]`));
|
||||
return;
|
||||
}
|
||||
if (!current || typeof current !== "object") return;
|
||||
for (const [key, child] of Object.entries(current)) {
|
||||
const normalizedKey = key.replace(/[^a-z]/gi, "").toLowerCase();
|
||||
const childPath = path ? `${path}.${key}` : key;
|
||||
if (forbiddenIdentityKeys.has(normalizedKey)) {
|
||||
violations.push({ path: childPath, rule: "forbidden_identity_field" });
|
||||
}
|
||||
if (rawUserTextKeys.has(normalizedKey)) {
|
||||
violations.push({ path: childPath, rule: "raw_user_text_field" });
|
||||
}
|
||||
visit(child, childPath);
|
||||
}
|
||||
};
|
||||
visit(value, "$dataset");
|
||||
return violations;
|
||||
}
|
||||
@@ -0,0 +1,154 @@
|
||||
import { z } from "zod";
|
||||
|
||||
import { consultationDomainSchema } from "./consultation-domain-registry.ts";
|
||||
|
||||
/**
|
||||
* Closed, non-PII observability contract for Agent runs.
|
||||
*
|
||||
* There is intentionally no free-form metadata bag. Raw input/output text,
|
||||
* prompts, messages, birth data, names, email addresses, secrets, API keys,
|
||||
* provider payloads, stack traces and internal filesystem paths are not fields
|
||||
* in this schema. Every object is strict, so unknown fields fail closed.
|
||||
*/
|
||||
|
||||
const opaqueIdSchema = z.string()
|
||||
.min(1)
|
||||
.max(128)
|
||||
.regex(/^[A-Za-z0-9][A-Za-z0-9._:-]*$/, "invalid opaque identifier");
|
||||
|
||||
const machineValueSchema = z.string()
|
||||
.min(1)
|
||||
.max(128)
|
||||
.regex(/^[A-Za-z0-9][A-Za-z0-9._:+-]*$/, "invalid machine value");
|
||||
|
||||
const machineCodeSchema = z.string()
|
||||
.min(1)
|
||||
.max(80)
|
||||
.regex(/^[a-z][a-z0-9._-]*$/, "invalid machine code");
|
||||
|
||||
const durationMsSchema = z.number().int().min(0).max(7 * 24 * 60 * 60 * 1000);
|
||||
const countSchema = z.number().int().min(0).max(1_000_000);
|
||||
const tokenCountSchema = z.number().int().min(0).max(1_000_000_000);
|
||||
|
||||
export const agentObservabilityStepStatuses = [
|
||||
"completed",
|
||||
"failed",
|
||||
"cancelled",
|
||||
"skipped",
|
||||
] as const;
|
||||
|
||||
export const billingSettlementResults = [
|
||||
"completed",
|
||||
"cancelled",
|
||||
"failed",
|
||||
"not_applicable",
|
||||
] as const;
|
||||
|
||||
export type AgentBillingSettlementResult = (typeof billingSettlementResults)[number];
|
||||
export type AgentSettlementResult = Exclude<AgentBillingSettlementResult, "not_applicable">;
|
||||
|
||||
export type AgentSettlementTelemetryOutcome = Readonly<{
|
||||
billingSettlementResult: AgentSettlementResult;
|
||||
errorCode?: string;
|
||||
}>;
|
||||
|
||||
export function settlementTelemetryOutcome(
|
||||
settlementResult: AgentSettlementResult,
|
||||
errorCode?: string,
|
||||
): AgentSettlementTelemetryOutcome {
|
||||
if (settlementResult === "failed") {
|
||||
return {
|
||||
billingSettlementResult: "failed",
|
||||
errorCode: "settlement_failed",
|
||||
};
|
||||
}
|
||||
return {
|
||||
billingSettlementResult: settlementResult,
|
||||
...(errorCode === undefined ? {} : { errorCode }),
|
||||
};
|
||||
}
|
||||
|
||||
export const agentObservabilityToolCallSchema = z.object({
|
||||
name: machineCodeSchema,
|
||||
durationMs: durationMsSchema,
|
||||
status: z.enum(agentObservabilityStepStatuses),
|
||||
}).strict().readonly();
|
||||
|
||||
export const agentObservabilityContractPhaseSchema = z.object({
|
||||
phase: machineCodeSchema,
|
||||
durationMs: durationMsSchema.optional(),
|
||||
status: z.enum(agentObservabilityStepStatuses),
|
||||
}).strict().readonly();
|
||||
|
||||
export const agentObservabilityEventSchema = z.object({
|
||||
runId: opaqueIdSchema.optional(),
|
||||
requestId: opaqueIdSchema.optional(),
|
||||
sessionId: opaqueIdSchema.optional(),
|
||||
caseId: opaqueIdSchema.optional(),
|
||||
|
||||
agentVersion: machineValueSchema.optional(),
|
||||
skillVersion: machineValueSchema.optional(),
|
||||
modelVersion: machineValueSchema.optional(),
|
||||
policyVersion: machineValueSchema.optional(),
|
||||
|
||||
toolCalls: z.array(agentObservabilityToolCallSchema).max(64).optional(),
|
||||
contractPhases: z.array(agentObservabilityContractPhaseSchema).max(64).optional(),
|
||||
retryCount: z.number().int().min(0).max(100).optional(),
|
||||
errorCode: machineCodeSchema.optional(),
|
||||
|
||||
inputTokens: tokenCountSchema.optional(),
|
||||
outputTokens: tokenCountSchema.optional(),
|
||||
evidenceCount: countSchema.optional(),
|
||||
claimCount: countSchema.optional(),
|
||||
sectionCount: countSchema.optional(),
|
||||
themeCoverage: z.array(consultationDomainSchema).max(10).optional(),
|
||||
|
||||
reportJobDurationMs: durationMsSchema.optional(),
|
||||
reportJobPeakMemoryBytes: z.number().int().min(0).max(Number.MAX_SAFE_INTEGER).optional(),
|
||||
billingSettlementResult: z.enum(billingSettlementResults).optional(),
|
||||
}).strict().refine(
|
||||
(event) => Boolean(event.runId || event.requestId || event.sessionId || event.caseId),
|
||||
{ message: "at least one controlled identifier is required" },
|
||||
).readonly();
|
||||
|
||||
export type AgentObservabilityEvent = z.infer<typeof agentObservabilityEventSchema>;
|
||||
export type AgentObservabilitySink = (event: AgentObservabilityEvent) => void;
|
||||
export type AgentObservabilityLogger = (event: unknown) => AgentObservabilityEvent;
|
||||
|
||||
function consoleSink(event: AgentObservabilityEvent): void {
|
||||
console.info("[agent-observability]", JSON.stringify(event));
|
||||
}
|
||||
|
||||
export function createAgentObservabilityLogger(
|
||||
sink: AgentObservabilitySink = consoleSink,
|
||||
): AgentObservabilityLogger {
|
||||
return (event) => {
|
||||
const parsed = agentObservabilityEventSchema.parse(event);
|
||||
try {
|
||||
sink(parsed);
|
||||
} catch {
|
||||
// Observability transport failure must not change the business response.
|
||||
}
|
||||
return parsed;
|
||||
};
|
||||
}
|
||||
|
||||
export const logAgentObservability = createAgentObservabilityLogger();
|
||||
|
||||
const knownErrorCodes = new Set([
|
||||
"runtime_contract_incomplete",
|
||||
"empty_answer",
|
||||
"calculation_failed",
|
||||
"timeout",
|
||||
"cancelled",
|
||||
"settlement_failed",
|
||||
]);
|
||||
|
||||
export function toAgentObservabilityErrorCode(error: unknown): string {
|
||||
if (error instanceof DOMException) {
|
||||
if (error.name === "TimeoutError") return "timeout";
|
||||
if (error.name === "AbortError") return "cancelled";
|
||||
}
|
||||
if (error instanceof Error && knownErrorCodes.has(error.message)) return error.message;
|
||||
return "calculation_failed";
|
||||
}
|
||||
@@ -0,0 +1,616 @@
|
||||
import assert from "node:assert/strict";
|
||||
import { readFileSync } from "node:fs";
|
||||
import test from "node:test";
|
||||
import {
|
||||
agentEvalGroups,
|
||||
createPendingModelReviewInputs,
|
||||
evaluateAgentRun,
|
||||
findDatasetPrivacyViolations,
|
||||
parseAgentGoldenDataset,
|
||||
summarizeLatencyAndCost,
|
||||
type AgentClaim,
|
||||
type AgentEvalRun,
|
||||
type AgentGoldenCase,
|
||||
} from "../src/lib/agent-evals.ts";
|
||||
|
||||
const fixtureText = readFileSync(
|
||||
new URL("./fixtures/agent-golden-dataset-v1.json", import.meta.url),
|
||||
"utf8",
|
||||
);
|
||||
const dataset = parseAgentGoldenDataset(JSON.parse(fixtureText));
|
||||
|
||||
function getCase(id: string): AgentGoldenCase {
|
||||
const goldenCase = dataset.cases.find((candidate) => candidate.id === id);
|
||||
assert.ok(goldenCase, `missing fixture case ${id}`);
|
||||
return goldenCase;
|
||||
}
|
||||
|
||||
function passingRun(goldenCase: AgentGoldenCase): AgentEvalRun {
|
||||
const claims: AgentClaim[] = Array.from(
|
||||
{ length: goldenCase.expected.minEvidenceBackedClaims },
|
||||
(_, index) => ({
|
||||
claimId: `claim.${index + 1}`,
|
||||
kind: "interpretation",
|
||||
requiresEvidence: true,
|
||||
evidenceIds: [
|
||||
goldenCase.expected.evidenceCatalog[index % goldenCase.expected.evidenceCatalog.length]!,
|
||||
],
|
||||
themeIds: goldenCase.expected.requestedThemes.length > 0
|
||||
? [goldenCase.expected.requestedThemes[index % goldenCase.expected.requestedThemes.length]!]
|
||||
: [],
|
||||
}),
|
||||
);
|
||||
const toolCalls = goldenCase.expected.toolContract.required.flatMap((requirement) =>
|
||||
Array.from({ length: requirement.minCalls }, (_, index) => ({
|
||||
tool: requirement.tool,
|
||||
status: "completed" as const,
|
||||
inputDigest: `${requirement.tool}.${index}`,
|
||||
latencyMs: 10,
|
||||
costUsd: 0,
|
||||
})),
|
||||
);
|
||||
const citedEvidenceIds = [...new Set(claims.flatMap((claim) => claim.evidenceIds))];
|
||||
return {
|
||||
caseId: goldenCase.id,
|
||||
candidateResponse: "synthetic candidate response for pending model review",
|
||||
skillExecutions: goldenCase.expected.requiredSkillIds.map((skillId) => ({
|
||||
skillId,
|
||||
status: "completed" as const,
|
||||
})),
|
||||
toolCalls,
|
||||
availableEvidenceIds: citedEvidenceIds,
|
||||
producedEvidenceIds: [],
|
||||
claims,
|
||||
coveredThemes: goldenCase.expected.requestedThemes,
|
||||
rectificationFocus: goldenCase.expected.rectificationFocus
|
||||
? {
|
||||
focusId: goldenCase.expected.rectificationFocus.expectedFocusId,
|
||||
domain: goldenCase.expected.rectificationFocus.expectedDomain,
|
||||
}
|
||||
: undefined,
|
||||
observability: {
|
||||
latencyMs: Math.floor(goldenCase.expected.performanceBudget.maxLatencyMs / 2),
|
||||
costUsd: goldenCase.expected.performanceBudget.maxCostUsd / 2,
|
||||
inputTokens: 100,
|
||||
outputTokens: 50,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
test("golden fixture is deidentified and exactly covers every PR-8 10.1 subscenario and tag", () => {
|
||||
assert.equal(dataset.schemaVersion, "agent_golden_dataset.v1");
|
||||
assert.deepEqual(dataset.deidentification, {
|
||||
mode: "synthetic_intent_codes_only",
|
||||
rawUserTextIncluded: false,
|
||||
});
|
||||
assert.deepEqual(
|
||||
[...new Set(dataset.cases.map((goldenCase) => goldenCase.group))].sort(),
|
||||
[...agentEvalGroups].sort(),
|
||||
);
|
||||
|
||||
const expectedCoverageByCase: Record<string, {
|
||||
group: AgentGoldenCase["group"];
|
||||
subscenario: string;
|
||||
requiredTags: readonly string[];
|
||||
}> = {
|
||||
"ordinary.career-direction": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "core-theme-career",
|
||||
requiredTags: ["core-theme", "career"],
|
||||
},
|
||||
"ordinary.marriage-direction": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "core-theme-marriage",
|
||||
requiredTags: ["core-theme", "marriage"],
|
||||
},
|
||||
"ordinary.wealth-direction": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "core-theme-wealth",
|
||||
requiredTags: ["core-theme", "wealth"],
|
||||
},
|
||||
"ordinary.health-direction": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "core-theme-health",
|
||||
requiredTags: ["core-theme", "health"],
|
||||
},
|
||||
"ordinary.education-direction": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "core-theme-education",
|
||||
requiredTags: ["core-theme", "education"],
|
||||
},
|
||||
"ordinary.career-wealth-tradeoff": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "multi-theme-request",
|
||||
requiredTags: ["multi-theme", "career", "wealth"],
|
||||
},
|
||||
"ordinary.evidence-follow-up": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "user-changes-question",
|
||||
requiredTags: ["user-change-question", "initial-theme", "changed-theme", "current-request"],
|
||||
},
|
||||
"ordinary.missing-birth-minute": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "missing-birth-minute",
|
||||
requiredTags: ["birth-minute-missing", "partial-birth-context", "no-invented-birth-data"],
|
||||
},
|
||||
"ordinary.timing-boundary": {
|
||||
group: "ordinary_consultation",
|
||||
subscenario: "accepted-confirmed-boundary",
|
||||
requiredTags: ["accepted-time", "confirmed-time-boundary", "no-exact-confirmation"],
|
||||
},
|
||||
"rectification.multiple-events-same-turn": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "multiple-events-same-turn",
|
||||
requiredTags: ["multiple-events", "same-turn", "focus-selection"],
|
||||
},
|
||||
"rectification.event-precision-year": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "event-precision-year",
|
||||
requiredTags: ["event-precision", "year-precision"],
|
||||
},
|
||||
"rectification.event-precision-month": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "event-precision-month",
|
||||
requiredTags: ["event-precision", "month-precision"],
|
||||
},
|
||||
"rectification.event-precision-day": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "event-precision-day",
|
||||
requiredTags: ["event-precision", "day-precision"],
|
||||
},
|
||||
"rectification.confirm-clear-evidence": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "clear-event-same-turn-confirmation",
|
||||
requiredTags: ["clear-event", "same-turn", "confirmed-evidence"],
|
||||
},
|
||||
"rectification.revise-evidence": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "correct-existing-event",
|
||||
requiredTags: ["correction", "old-event", "revision"],
|
||||
},
|
||||
"rectification.refusal": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "refusal-to-answer",
|
||||
requiredTags: ["refusal", "no-new-event", "no-write"],
|
||||
},
|
||||
"rectification.skip": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "skip-follow-up",
|
||||
requiredTags: ["skip", "no-new-event", "no-write"],
|
||||
},
|
||||
"rectification.continuation-word": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "continuation-word-resolution",
|
||||
requiredTags: ["continuation-word", "short-acknowledgement", "active-followup", "recent-turns"],
|
||||
},
|
||||
"rectification.long-conversation-recovery": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "long-conversation-recovery",
|
||||
requiredTags: ["long-conversation", "session-resume", "recovery", "server-context", "no-raw-snapshot"],
|
||||
},
|
||||
"rectification.offer-candidates": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "candidate-acceptance",
|
||||
requiredTags: ["candidate", "accepted", "not-confirmed", "truth-boundary"],
|
||||
},
|
||||
"rectification.confirm-exact-minute": {
|
||||
group: "birth_time_rectification",
|
||||
subscenario: "exact-minute-confirmation",
|
||||
requiredTags: ["confirmation-allowed", "user-consent", "confirmed", "exact-minute"],
|
||||
},
|
||||
"report.complete-evidence": {
|
||||
group: "report",
|
||||
subscenario: "complete-evidence-report",
|
||||
requiredTags: ["evidence-complete", "citation-closure", "audit-trace"],
|
||||
},
|
||||
"report.partial-evidence": {
|
||||
group: "report",
|
||||
subscenario: "partial-evidence-report",
|
||||
requiredTags: ["evidence-partial", "coverage-disclosure", "no-fabrication"],
|
||||
},
|
||||
"report.conflicting-evidence": {
|
||||
group: "report",
|
||||
subscenario: "conflicting-evidence-report",
|
||||
requiredTags: ["evidence-conflict", "conflict-disclosure", "reduced-confidence"],
|
||||
},
|
||||
"report.accepted-time": {
|
||||
group: "report",
|
||||
subscenario: "accepted-time-report",
|
||||
requiredTags: ["accepted-time", "not-confirmed", "truth-boundary"],
|
||||
},
|
||||
"report.multi-theme": {
|
||||
group: "report",
|
||||
subscenario: "multi-theme-report",
|
||||
requiredTags: ["multi-theme", "career", "marriage", "wealth", "health", "education"],
|
||||
},
|
||||
"safety.prompt-extraction": {
|
||||
group: "safety",
|
||||
subscenario: "prompt-extraction-refusal",
|
||||
requiredTags: ["prompt-extraction", "security-boundary", "refusal"],
|
||||
},
|
||||
"safety.api-key-inducement": {
|
||||
group: "safety",
|
||||
subscenario: "api-key-inducement-refusal",
|
||||
requiredTags: ["api-key-inducement", "credential-request", "credential-refusal"],
|
||||
},
|
||||
"safety.internal-path-inducement": {
|
||||
group: "safety",
|
||||
subscenario: "internal-path-inducement-refusal",
|
||||
requiredTags: ["internal-path-inducement", "environment-request", "path-refusal"],
|
||||
},
|
||||
"safety.medical-certainty": {
|
||||
group: "safety",
|
||||
subscenario: "medical-certainty-refusal",
|
||||
requiredTags: ["medical-certainty", "deterministic-request", "medical-boundary"],
|
||||
},
|
||||
"safety.legal-certainty": {
|
||||
group: "safety",
|
||||
subscenario: "legal-certainty-refusal",
|
||||
requiredTags: ["legal-certainty", "deterministic-request", "legal-boundary"],
|
||||
},
|
||||
"safety.investment-certainty": {
|
||||
group: "safety",
|
||||
subscenario: "investment-certainty-refusal",
|
||||
requiredTags: ["investment-certainty", "deterministic-request", "investment-boundary"],
|
||||
},
|
||||
"safety.fabricated-birth-data": {
|
||||
group: "safety",
|
||||
subscenario: "fabricated-birth-data-rejection",
|
||||
requiredTags: ["fabricated-birth-data", "missing-source-data", "no-invented-birth-data"],
|
||||
},
|
||||
"safety.fabricated-candidate-id": {
|
||||
group: "safety",
|
||||
subscenario: "fabricated-candidate-id-rejection",
|
||||
requiredTags: ["fabricated-candidate-id", "missing-server-state", "no-invented-candidate-id"],
|
||||
},
|
||||
};
|
||||
|
||||
assert.equal(dataset.cases.length, 34);
|
||||
assert.deepEqual(
|
||||
dataset.cases.map((goldenCase) => goldenCase.id).sort(),
|
||||
Object.keys(expectedCoverageByCase).sort(),
|
||||
);
|
||||
for (const [caseId, coverage] of Object.entries(expectedCoverageByCase)) {
|
||||
const goldenCase = getCase(caseId);
|
||||
assert.equal(goldenCase.group, coverage.group, `${caseId} group`);
|
||||
assert.equal(goldenCase.subscenario, coverage.subscenario, `${caseId} subscenario`);
|
||||
const tags = new Set(goldenCase.turns.flatMap((turn) => turn.contextTags));
|
||||
for (const requiredTag of coverage.requiredTags) {
|
||||
assert.ok(tags.has(requiredTag), `${caseId} missing context tag ${requiredTag}`);
|
||||
}
|
||||
}
|
||||
|
||||
assert.deepEqual(getCase("ordinary.career-direction").expected.requestedThemes, ["career"]);
|
||||
assert.deepEqual(getCase("ordinary.marriage-direction").expected.requestedThemes, ["marriage"]);
|
||||
assert.deepEqual(getCase("ordinary.wealth-direction").expected.requestedThemes, ["wealth"]);
|
||||
assert.deepEqual(getCase("ordinary.health-direction").expected.requestedThemes, ["health"]);
|
||||
assert.deepEqual(getCase("ordinary.education-direction").expected.requestedThemes, ["education"]);
|
||||
assert.deepEqual(getCase("ordinary.career-wealth-tradeoff").expected.requestedThemes, ["career", "wealth"]);
|
||||
assert.deepEqual(getCase("ordinary.evidence-follow-up").expected.requestedThemes, ["marriage"]);
|
||||
|
||||
assert.equal(getCase("rectification.event-precision-year").expected.timingPolicy.maxPrecision, "year");
|
||||
assert.equal(getCase("rectification.event-precision-month").expected.timingPolicy.maxPrecision, "month");
|
||||
assert.equal(getCase("rectification.event-precision-day").expected.timingPolicy.maxPrecision, "day");
|
||||
assert.equal(getCase("rectification.long-conversation-recovery").turns.length, 12);
|
||||
assert.equal(getCase("ordinary.timing-boundary").expected.timingPolicy.allowConfirmedExactMinute, false);
|
||||
assert.equal(getCase("rectification.offer-candidates").expected.timingPolicy.allowConfirmedExactMinute, false);
|
||||
assert.equal(getCase("rectification.confirm-exact-minute").expected.timingPolicy.allowConfirmedExactMinute, true);
|
||||
assert.equal(getCase("report.accepted-time").expected.timingPolicy.allowConfirmedExactMinute, false);
|
||||
|
||||
assert.ok(dataset.cases.every((goldenCase) => goldenCase.turns.length >= 2));
|
||||
assert.deepEqual(findDatasetPrivacyViolations(dataset), []);
|
||||
|
||||
const allowedTurnKeys = ["contextTags", "intentCode", "speaker", "syntheticSummaryOnly", "turnId"];
|
||||
for (const goldenCase of dataset.cases) {
|
||||
for (const conversationTurn of goldenCase.turns) {
|
||||
assert.equal(conversationTurn.syntheticSummaryOnly, true);
|
||||
assert.deepEqual(Object.keys(conversationTurn).sort(), allowedTurnKeys);
|
||||
assert.match(conversationTurn.intentCode, /^[a-z][a-z0-9._-]+$/);
|
||||
for (const contextTag of conversationTurn.contextTags) {
|
||||
assert.match(contextTag, /^[a-z][a-z0-9._-]+$/);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
assert.doesNotMatch(fixtureText, /\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b/i);
|
||||
assert.doesNotMatch(fixtureText, /\b(?:19|20)\d{2}[-/.年]\d{1,2}[-/.月]\d{1,2}日?\b/);
|
||||
assert.doesNotMatch(fixtureText, /(?:^|\D)(?:[01]?\d|2[0-3]):[0-5]\d(?:\D|$)/);
|
||||
assert.doesNotMatch(fixtureText, /(?:^|[^A-Za-z0-9])(?:sk-[A-Za-z0-9_-]{12,}|api[_ -]?key\s*[:=])/i);
|
||||
assert.doesNotMatch(fixtureText, /(?:\/Users\/|\/home\/|\/opt\/|\/private\/|[A-Za-z]:\\Users\\)/);
|
||||
});
|
||||
|
||||
test("a conforming rectification run passes every applicable deterministic scorer", () => {
|
||||
const goldenCase = getCase("rectification.confirm-clear-evidence");
|
||||
const result = evaluateAgentRun(goldenCase, passingRun(goldenCase));
|
||||
|
||||
for (const [name, metric] of Object.entries(result.deterministic)) {
|
||||
assert.notEqual(metric.status, "failed", `${name} should pass or be not applicable`);
|
||||
assert.equal(metric.evaluationMode, "deterministic");
|
||||
}
|
||||
assert.equal(result.deterministic.skillToolContractCompletion.score, 1);
|
||||
assert.equal(result.deterministic.evidenceCitationClosure.score, 1);
|
||||
assert.equal(result.deterministic.rectificationFocusAccuracy.score, 1);
|
||||
assert.equal(result.deterministic.toolCallEconomy.score, 1);
|
||||
});
|
||||
|
||||
test("deterministic scorers expose contract, evidence, theme, timing, focus, economy, and budget failures", () => {
|
||||
const goldenCase = getCase("rectification.offer-candidates");
|
||||
const run: AgentEvalRun = {
|
||||
caseId: goldenCase.id,
|
||||
candidateResponse: "candidate response awaiting model review",
|
||||
skillExecutions: [{ skillId: "jyotish-birth-time-rectification", status: "failed" }],
|
||||
toolCalls: [
|
||||
{ tool: "rectification-read-case", status: "completed", inputDigest: "same" },
|
||||
{ tool: "rectification-read-case", status: "completed", inputDigest: "same" },
|
||||
{ tool: "unallowlisted-internal-tool", status: "failed", inputDigest: "bad" },
|
||||
{ tool: "rectification-offer-candidates", status: "pending", inputDigest: "pending" },
|
||||
{ tool: "rectification-offer-candidates", status: "completed", inputDigest: "offer" },
|
||||
],
|
||||
availableEvidenceIds: ["ev-candidate-comparison"],
|
||||
producedEvidenceIds: [],
|
||||
claims: [
|
||||
{
|
||||
claimId: "claim.unsupported",
|
||||
kind: "fact",
|
||||
requiresEvidence: true,
|
||||
evidenceIds: ["ev-not-in-catalog"],
|
||||
themeIds: [],
|
||||
},
|
||||
{
|
||||
claimId: "claim.exact-minute",
|
||||
kind: "timing",
|
||||
requiresEvidence: true,
|
||||
evidenceIds: ["ev-candidate-comparison"],
|
||||
themeIds: [],
|
||||
timingPrecision: "minute",
|
||||
timingModality: "confirmed",
|
||||
},
|
||||
],
|
||||
coveredThemes: [],
|
||||
rectificationFocus: { focusId: "focus.family-event", domain: "family" },
|
||||
observability: {
|
||||
latencyMs: goldenCase.expected.performanceBudget.maxLatencyMs + 1,
|
||||
costUsd: goldenCase.expected.performanceBudget.maxCostUsd + 0.01,
|
||||
inputTokens: 400,
|
||||
outputTokens: 200,
|
||||
},
|
||||
};
|
||||
|
||||
const result = evaluateAgentRun(goldenCase, run);
|
||||
assert.equal(result.deterministic.skillToolContractCompletion.status, "failed");
|
||||
assert.ok(result.deterministic.skillToolContractCompletion.details.missingSkills.length > 0);
|
||||
assert.ok(result.deterministic.skillToolContractCompletion.details.missingTools.length > 0);
|
||||
assert.equal(result.deterministic.evidenceCitationClosure.status, "failed");
|
||||
assert.deepEqual(result.deterministic.evidenceCitationClosure.details.danglingEvidenceIds, ["ev-not-in-catalog"]);
|
||||
assert.equal(result.deterministic.unsupportedFactRuleCount.details.count, 1);
|
||||
assert.equal(result.deterministic.preciseTimingViolation.details.count, 1);
|
||||
assert.equal(result.deterministic.rectificationFocusAccuracy.score, 0);
|
||||
assert.equal(result.deterministic.toolCallEconomy.status, "failed");
|
||||
assert.ok(result.deterministic.toolCallEconomy.details.duplicateInputCalls.length > 0);
|
||||
assert.ok(result.deterministic.toolCallEconomy.details.unallowedCalls.length > 0);
|
||||
assert.equal(result.deterministic.latencyCostStatistics.status, "failed");
|
||||
assert.deepEqual(result.deterministic.latencyCostStatistics.details.latencyBudgetBreaches, [goldenCase.id]);
|
||||
assert.deepEqual(result.deterministic.latencyCostStatistics.details.costBudgetBreaches, [goldenCase.id]);
|
||||
});
|
||||
|
||||
test("catalog-only citations fail until the run actually makes the evidence available", () => {
|
||||
const goldenCase = getCase("ordinary.career-direction");
|
||||
const catalogEvidenceId = goldenCase.expected.evidenceCatalog[0]!;
|
||||
const base = passingRun(goldenCase);
|
||||
const claim: AgentClaim = {
|
||||
claimId: "claim.catalog-only",
|
||||
kind: "fact",
|
||||
requiresEvidence: false,
|
||||
evidenceIds: [catalogEvidenceId],
|
||||
themeIds: ["career"],
|
||||
};
|
||||
|
||||
const unavailable = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
availableEvidenceIds: [],
|
||||
producedEvidenceIds: [],
|
||||
claims: [claim],
|
||||
});
|
||||
assert.equal(unavailable.deterministic.evidenceCitationClosure.status, "failed");
|
||||
assert.deepEqual(
|
||||
unavailable.deterministic.evidenceCitationClosure.details.unavailableEvidenceIds,
|
||||
[catalogEvidenceId],
|
||||
);
|
||||
assert.deepEqual(
|
||||
unavailable.deterministic.evidenceCitationClosure.details.uncatalogedEvidenceIds,
|
||||
[],
|
||||
);
|
||||
assert.deepEqual(
|
||||
unavailable.deterministic.evidenceCitationClosure.details.unclosedClaimIds,
|
||||
[claim.claimId],
|
||||
);
|
||||
assert.deepEqual(
|
||||
unavailable.deterministic.unsupportedFactRuleCount.details.claimIds,
|
||||
[claim.claimId],
|
||||
);
|
||||
|
||||
const produced = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
availableEvidenceIds: [],
|
||||
producedEvidenceIds: [catalogEvidenceId],
|
||||
claims: [claim],
|
||||
});
|
||||
assert.equal(produced.deterministic.evidenceCitationClosure.status, "passed");
|
||||
assert.equal(produced.deterministic.unsupportedFactRuleCount.status, "passed");
|
||||
});
|
||||
|
||||
test("fact and timing claims cannot disable deterministic evidence requirements", () => {
|
||||
const goldenCase = getCase("ordinary.career-direction");
|
||||
const base = passingRun(goldenCase);
|
||||
const result = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
availableEvidenceIds: [],
|
||||
producedEvidenceIds: [],
|
||||
claims: [
|
||||
{
|
||||
claimId: "claim.fact-opt-out",
|
||||
kind: "fact",
|
||||
requiresEvidence: false,
|
||||
evidenceIds: [],
|
||||
themeIds: ["career"],
|
||||
},
|
||||
{
|
||||
claimId: "claim.timing-opt-out",
|
||||
kind: "timing",
|
||||
requiresEvidence: false,
|
||||
evidenceIds: [],
|
||||
themeIds: ["career"],
|
||||
timingPrecision: "broad_window",
|
||||
timingModality: "candidate",
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
assert.equal(result.deterministic.evidenceCitationClosure.status, "failed");
|
||||
assert.deepEqual(
|
||||
result.deterministic.evidenceCitationClosure.details.unclosedClaimIds,
|
||||
["claim.fact-opt-out", "claim.timing-opt-out"],
|
||||
);
|
||||
assert.equal(result.deterministic.unsupportedFactRuleCount.status, "failed");
|
||||
assert.deepEqual(
|
||||
result.deterministic.unsupportedFactRuleCount.details.claimIds,
|
||||
["claim.fact-opt-out", "claim.timing-opt-out"],
|
||||
);
|
||||
});
|
||||
|
||||
test("minute candidate and accepted states pass while unconsented confirmation fails", () => {
|
||||
const goldenCase = getCase("rectification.offer-candidates");
|
||||
const base = passingRun(goldenCase);
|
||||
const candidateClaim: AgentClaim = {
|
||||
claimId: "claim.minute-candidate",
|
||||
kind: "timing",
|
||||
requiresEvidence: true,
|
||||
evidenceIds: ["ev-candidate-comparison"],
|
||||
themeIds: [],
|
||||
timingPrecision: "minute",
|
||||
timingModality: "candidate",
|
||||
};
|
||||
const candidate = evaluateAgentRun(goldenCase, { ...base, claims: [candidateClaim] });
|
||||
assert.equal(candidate.deterministic.preciseTimingViolation.status, "passed");
|
||||
|
||||
const accepted = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
claims: [{ ...candidateClaim, timingModality: "accepted" }],
|
||||
});
|
||||
assert.equal(accepted.deterministic.preciseTimingViolation.status, "passed");
|
||||
assert.equal(accepted.deterministic.evidenceCitationClosure.status, "passed");
|
||||
|
||||
const confirmed = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
claims: [{ ...candidateClaim, timingModality: "confirmed" }],
|
||||
});
|
||||
assert.equal(confirmed.deterministic.preciseTimingViolation.status, "failed");
|
||||
assert.deepEqual(
|
||||
confirmed.deterministic.preciseTimingViolation.details.violations[0]?.rules,
|
||||
["exact_minute_confirmation_forbidden"],
|
||||
);
|
||||
});
|
||||
|
||||
test("consented exact-minute confirmation passes only in the explicit confirmation case", () => {
|
||||
const goldenCase = getCase("rectification.confirm-exact-minute");
|
||||
const base = passingRun(goldenCase);
|
||||
const result = evaluateAgentRun(goldenCase, {
|
||||
...base,
|
||||
claims: [{
|
||||
claimId: "claim.confirmed-minute",
|
||||
kind: "timing",
|
||||
requiresEvidence: true,
|
||||
evidenceIds: ["ev-confirmation-gate"],
|
||||
themeIds: [],
|
||||
timingPrecision: "minute",
|
||||
timingModality: "confirmed",
|
||||
}],
|
||||
});
|
||||
assert.equal(result.deterministic.preciseTimingViolation.status, "passed");
|
||||
});
|
||||
|
||||
test("requested theme coverage is independent from prose and uses structured theme ids", () => {
|
||||
const goldenCase = getCase("ordinary.career-wealth-tradeoff");
|
||||
const run = passingRun(goldenCase);
|
||||
const result = evaluateAgentRun(goldenCase, {
|
||||
...run,
|
||||
candidateResponse: "prose may mention anything; deterministic coverage reads structured ids only",
|
||||
coveredThemes: ["career"],
|
||||
claims: run.claims.map((claim) => ({ ...claim, themeIds: ["career"] })),
|
||||
});
|
||||
assert.equal(result.deterministic.requestedThemeCoverage.status, "failed");
|
||||
assert.deepEqual(result.deterministic.requestedThemeCoverage.details.missingThemes, ["wealth"]);
|
||||
});
|
||||
|
||||
test("naturalness, repetition, follow-up relevance, and model fact review remain explicit pending inputs", () => {
|
||||
const goldenCase = getCase("ordinary.evidence-follow-up");
|
||||
const reviews = createPendingModelReviewInputs(goldenCase, passingRun(goldenCase));
|
||||
assert.deepEqual(
|
||||
reviews.map((review) => review.criterion),
|
||||
["naturalness_repetition", "follow_up_relevance", "unsupported_fact_model_review"],
|
||||
);
|
||||
for (const review of reviews) {
|
||||
assert.equal(review.evaluationMode, "model_review");
|
||||
assert.equal(review.status, "pending");
|
||||
assert.ok(review.input.candidateResponse.length > 0);
|
||||
assert.ok(review.input.conversationIntentCodes.length >= 2);
|
||||
assert.equal("score" in review, false);
|
||||
assert.equal("verdict" in review, false);
|
||||
assert.equal("passed" in review, false);
|
||||
}
|
||||
});
|
||||
|
||||
test("latency and cost statistics use deterministic nearest-rank percentiles and report budget breaches", () => {
|
||||
const cases = [
|
||||
getCase("ordinary.career-direction"),
|
||||
getCase("ordinary.evidence-follow-up"),
|
||||
getCase("ordinary.timing-boundary"),
|
||||
];
|
||||
const runs = cases.map((goldenCase, index) => ({
|
||||
...passingRun(goldenCase),
|
||||
observability: {
|
||||
latencyMs: [100, 200, 400][index]!,
|
||||
costUsd: [0.01, 0.02, 0.09][index]!,
|
||||
inputTokens: [10, 20, 40][index]!,
|
||||
outputTokens: [5, 10, 20][index]!,
|
||||
},
|
||||
}));
|
||||
const result = summarizeLatencyAndCost(cases, runs);
|
||||
assert.equal(result.status, "passed");
|
||||
assert.deepEqual(result.details.latencyMs, {
|
||||
min: 100,
|
||||
max: 400,
|
||||
mean: 233.333333,
|
||||
p50: 200,
|
||||
p95: 400,
|
||||
total: 700,
|
||||
});
|
||||
assert.equal(result.details.costUsd.total, 0.12);
|
||||
assert.deepEqual(result.details.latencyBudgetBreaches, []);
|
||||
assert.deepEqual(result.details.costBudgetBreaches, []);
|
||||
});
|
||||
|
||||
test("privacy scanner rejects identity fields, raw user bodies, credentials, dates, times, and internal paths", () => {
|
||||
const poisoned = {
|
||||
cases: [{
|
||||
name: "synthetic-person",
|
||||
email: "person@example.test",
|
||||
birthDate: "2000-01-02",
|
||||
birthTime: "08:30",
|
||||
location: "synthetic-place",
|
||||
content: "complete user body",
|
||||
credential: "api_key=not-a-real-secret",
|
||||
path: "/Users/example/private.txt",
|
||||
}],
|
||||
};
|
||||
const rules = new Set(findDatasetPrivacyViolations(poisoned).map((violation) => violation.rule));
|
||||
assert.deepEqual(rules, new Set([
|
||||
"forbidden_identity_field",
|
||||
"raw_user_text_field",
|
||||
"email",
|
||||
"birth_date",
|
||||
"clock_time",
|
||||
"api_credential",
|
||||
"internal_absolute_path",
|
||||
]));
|
||||
});
|
||||
@@ -0,0 +1,192 @@
|
||||
import assert from "node:assert/strict";
|
||||
import { readFileSync } from "node:fs";
|
||||
import test from "node:test";
|
||||
|
||||
import { ZodError } from "zod";
|
||||
|
||||
import {
|
||||
agentObservabilityEventSchema,
|
||||
createAgentObservabilityLogger,
|
||||
settlementTelemetryOutcome,
|
||||
toAgentObservabilityErrorCode,
|
||||
} from "../src/lib/agent-observability.ts";
|
||||
|
||||
const baseEvent = {
|
||||
runId: "8d14b4f7-9d0b-4b4e-a48d-365e5d2a1d4b",
|
||||
requestId: "f2ff3466-913b-4a79-8527-b90f28a6c95d",
|
||||
sessionId: "2cf930ab-d59d-4f36-b92f-aa4ea035305a",
|
||||
caseId: "case-42",
|
||||
agentVersion: "consultation-agentic-v1",
|
||||
skillVersion: "6.9.14",
|
||||
modelVersion: "3",
|
||||
policyVersion: "consultation-runtime-contract-v1",
|
||||
toolCalls: [
|
||||
{ name: "run-jyotish-consultation", durationMs: 321, status: "completed" },
|
||||
],
|
||||
contractPhases: [
|
||||
{ phase: "skill.loaded", durationMs: 12, status: "completed" },
|
||||
{ phase: "answer.first_output", durationMs: 456, status: "completed" },
|
||||
{ phase: "billing.settled", status: "completed" },
|
||||
],
|
||||
retryCount: 1,
|
||||
errorCode: "runtime_contract_incomplete",
|
||||
inputTokens: 1200,
|
||||
outputTokens: 345,
|
||||
evidenceCount: 4,
|
||||
claimCount: 7,
|
||||
sectionCount: 5,
|
||||
themeCoverage: ["career", "wealth"],
|
||||
reportJobDurationMs: 2500,
|
||||
reportJobPeakMemoryBytes: 64 * 1024 * 1024,
|
||||
billingSettlementResult: "completed",
|
||||
} as const;
|
||||
|
||||
test("strict schema accepts only bounded non-PII Agent run metrics", () => {
|
||||
assert.deepEqual(agentObservabilityEventSchema.parse(baseEvent), baseEvent);
|
||||
});
|
||||
|
||||
test("logger validates before emitting and returns the closed payload", () => {
|
||||
const emitted: unknown[] = [];
|
||||
const logger = createAgentObservabilityLogger((event) => emitted.push(event));
|
||||
|
||||
const parsed = logger(baseEvent);
|
||||
|
||||
assert.deepEqual(parsed, baseEvent);
|
||||
assert.deepEqual(emitted, [baseEvent]);
|
||||
});
|
||||
|
||||
test("unknown or PII-bearing fields fail closed instead of being stripped", () => {
|
||||
const logger = createAgentObservabilityLogger(() => {
|
||||
assert.fail("invalid observability payload must not reach the sink");
|
||||
});
|
||||
const forbiddenFields = [
|
||||
"text",
|
||||
"content",
|
||||
"input",
|
||||
"output",
|
||||
"question",
|
||||
"answer",
|
||||
"prompt",
|
||||
"messages",
|
||||
"birthDate",
|
||||
"birthTime",
|
||||
"birthPlace",
|
||||
"birthData",
|
||||
"name",
|
||||
"email",
|
||||
"secret",
|
||||
"apiKey",
|
||||
"providerPayload",
|
||||
"stack",
|
||||
"absolutePath",
|
||||
"metadata",
|
||||
];
|
||||
|
||||
for (const field of forbiddenFields) {
|
||||
assert.throws(
|
||||
() => logger({ runId: baseEvent.runId, [field]: "sensitive-value" }),
|
||||
ZodError,
|
||||
`${field} must fail closed`,
|
||||
);
|
||||
}
|
||||
|
||||
assert.throws(
|
||||
() => logger({
|
||||
runId: baseEvent.runId,
|
||||
toolCalls: [{
|
||||
name: "run-jyotish-consultation",
|
||||
durationMs: 1,
|
||||
status: "completed",
|
||||
prompt: "raw prompt",
|
||||
}],
|
||||
}),
|
||||
ZodError,
|
||||
);
|
||||
});
|
||||
|
||||
test("free-form prose, email-like values and internal paths are rejected", () => {
|
||||
assert.throws(
|
||||
() => agentObservabilityEventSchema.parse({
|
||||
runId: baseEvent.runId,
|
||||
errorCode: "provider returned user@example.com",
|
||||
}),
|
||||
ZodError,
|
||||
);
|
||||
assert.throws(
|
||||
() => agentObservabilityEventSchema.parse({
|
||||
runId: baseEvent.runId,
|
||||
modelVersion: "/Users/jesse/private/model.json",
|
||||
}),
|
||||
ZodError,
|
||||
);
|
||||
assert.throws(
|
||||
() => agentObservabilityEventSchema.parse({ inputTokens: 1 }),
|
||||
ZodError,
|
||||
);
|
||||
});
|
||||
|
||||
test("sink failures are isolated after strict validation", () => {
|
||||
const logger = createAgentObservabilityLogger(() => {
|
||||
throw new Error("transport unavailable");
|
||||
});
|
||||
|
||||
assert.deepEqual(logger({ runId: baseEvent.runId, inputTokens: 1 }), {
|
||||
runId: baseEvent.runId,
|
||||
inputTokens: 1,
|
||||
});
|
||||
});
|
||||
|
||||
test("error normalization never records arbitrary exception messages", () => {
|
||||
assert.equal(
|
||||
toAgentObservabilityErrorCode(new Error("runtime_contract_incomplete")),
|
||||
"runtime_contract_incomplete",
|
||||
);
|
||||
assert.equal(
|
||||
toAgentObservabilityErrorCode(new Error("/opt/internal/users/alice.json")),
|
||||
"calculation_failed",
|
||||
);
|
||||
assert.equal(
|
||||
toAgentObservabilityErrorCode(new Error("provider said user@example.com")),
|
||||
"calculation_failed",
|
||||
);
|
||||
});
|
||||
|
||||
test("settlement telemetry reports successful cancellation as cancelled", () => {
|
||||
assert.deepEqual(
|
||||
settlementTelemetryOutcome("cancelled", "cancelled"),
|
||||
{
|
||||
billingSettlementResult: "cancelled",
|
||||
errorCode: "cancelled",
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
test("settlement telemetry fail-closes a final cancellation failure", () => {
|
||||
const rawFailure = "provider rejected user@example.com at /Users/alice/private.json";
|
||||
const outcome = settlementTelemetryOutcome("failed", rawFailure);
|
||||
const parsed = agentObservabilityEventSchema.parse({
|
||||
runId: baseEvent.runId,
|
||||
...outcome,
|
||||
});
|
||||
|
||||
assert.deepEqual(outcome, {
|
||||
billingSettlementResult: "failed",
|
||||
errorCode: "settlement_failed",
|
||||
});
|
||||
assert.deepEqual(parsed, {
|
||||
runId: baseEvent.runId,
|
||||
billingSettlementResult: "failed",
|
||||
errorCode: "settlement_failed",
|
||||
});
|
||||
assert.doesNotMatch(JSON.stringify(parsed), /provider|example\.com|\/Users\//);
|
||||
});
|
||||
|
||||
test("ordinary consultation logRun uses the strict logger and aggregated usage", () => {
|
||||
const route = readFileSync(new URL("../src/app/api/consult/route.ts", import.meta.url), "utf8");
|
||||
|
||||
assert.match(route, /logAgentObservability\(\{/);
|
||||
assert.match(route, /inputTokens/);
|
||||
assert.match(route, /outputTokens/);
|
||||
assert.match(route, /billingSettlementResult/);
|
||||
assert.doesNotMatch(route, /\[consult-agentic\]/);
|
||||
});
|
||||
@@ -40,7 +40,7 @@ test("persists partial transformed output when the upstream stream errors", () =
|
||||
assert.equal(consultRoute.match(/emitted[\s\S]*?\? \(\) => completeResponse\([\s\S]*?output,[\s\S]*?result\.totalUsage,[\s\S]*?: cancel,/g)?.length, 2);
|
||||
assert.equal(consultRoute.match(/onCancel: \(\) => settle\(cancel\)/g)?.length, 2);
|
||||
assert.equal(
|
||||
consultRoute.match(/onCancel: \(\) => settleRun\(cancel, "cancelled", "cancelled"\)/g)?.length,
|
||||
consultRoute.match(/onCancel: \(\) => settleRun\(cancel, "cancelled"\)/g)?.length,
|
||||
2,
|
||||
);
|
||||
});
|
||||
@@ -54,7 +54,7 @@ test("Agentic failures always refund and detached execution uses a server-owned
|
||||
assert.equal(agentic.match(/abortSignal: agentAbortSignal/g)?.length, 2);
|
||||
assert.doesNotMatch(agentic, /abortSignal: request\.signal/);
|
||||
assert.equal(
|
||||
agentic.match(/onError: \(error\) => settleRun\(\s*cancel,[\s\S]*?"cancelled",\s*\)/g)?.length,
|
||||
agentic.match(/onError: \(error\) => settleRun\(\s*cancel,[\s\S]*?toAgentObservabilityErrorCode\(error\),\s*\)/g)?.length,
|
||||
2,
|
||||
);
|
||||
const onErrorBlocks = agentic.match(/onError:[\s\S]*?onCancel:/g) ?? [];
|
||||
@@ -62,6 +62,23 @@ test("Agentic failures always refund and detached execution uses a server-owned
|
||||
for (const block of onErrorBlocks) assert.doesNotMatch(block, /completeResponse|completed_partial/);
|
||||
});
|
||||
|
||||
test("Agentic settlement telemetry uses the actual cancellation result", () => {
|
||||
const cancellation = consultRoute.slice(
|
||||
consultRoute.indexOf("async function cancel("),
|
||||
consultRoute.indexOf("const usageStartedAt"),
|
||||
);
|
||||
const settlement = consultRoute.slice(
|
||||
consultRoute.indexOf("let settlement:"),
|
||||
consultRoute.indexOf("const baseMessages"),
|
||||
);
|
||||
|
||||
assert.match(cancellation, /return "cancelled";/);
|
||||
assert.match(cancellation, /catch \(error\) \{[\s\S]*return "failed";/);
|
||||
assert.match(settlement, /const actualSettlementResult = await settleResult\(action\)/);
|
||||
assert.match(settlement, /settlementTelemetryOutcome\(actualSettlementResult, errorCode\)/);
|
||||
assert.doesNotMatch(settlement, /logRun\(errorCode, "cancelled"\)/);
|
||||
});
|
||||
|
||||
test("best-effort cancels a failed or uncertain durable completion before rethrowing", () => {
|
||||
const completion = consultRoute.slice(
|
||||
consultRoute.indexOf("async function completeResponse("),
|
||||
|
||||
+2500
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user