定义LLM追踪事件契约

src/lib/llm/audit.ts

@@ -1,4 +1,5 @@
-import type { LlmProviderStatus, LlmTaskName } from "./client";
+import type { LlmProviderStatus } from "./client";
+import type { LlmTaskName } from "./trace-types";
 
 export interface LlmAuditSummary {
   provider: LlmProviderStatus["provider"];

src/lib/llm/client.ts

@@ -2,14 +2,9 @@ import OpenAI from "openai";
 import type { z } from "zod";
 
 import { createLlmAuditSummary, type LlmAuditSummary } from "./audit";
+import type { LlmTaskName } from "./trace-types";
 
-export type LlmTaskName =
-  | "unknown"
-  | "fact_extractor"
-  | "article_optimizer"
-  | "quality_inspector"
-  | "targeted_rewriter"
-  | "renwei_copy_optimizer";
+export type { LlmTaskName } from "./trace-types";
 
 export interface GenerateInput {
   system?: string;

src/lib/llm/trace-types.ts

@@ -0,0 +1,181 @@
+export type LlmProviderName = "deepseek" | "openai";
+
+export type LlmTaskName =
+  | "unknown"
+  | "fact_extractor"
+  | "article_optimizer"
+  | "quality_inspector"
+  | "targeted_rewriter"
+  | "renwei_copy_optimizer";
+
+export type LlmTraceWorkflowStage =
+  | "unknown"
+  | "input"
+  | "fact_card"
+  | "draft"
+  | "qa"
+  | "rewrite"
+  | "final";
+
+export type LlmTraceRunStatus =
+  | "running"
+  | "completed"
+  | "failed"
+  | "interrupted";
+
+export type LlmTraceCallStatus =
+  | "started"
+  | "responded"
+  | "validated"
+  | "failed";
+
+export type LlmTraceCompleteness = "complete" | "incomplete";
+export type LlmBusinessStatus = "pass" | "warn" | "fail";
+export type LlmTraceErrorType =
+  | "provider"
+  | "json_parse"
+  | "schema_validation";
+
+export interface LlmTraceContext {
+  workflow_stage: LlmTraceWorkflowStage;
+  rewrite_round?: number;
+  schema_name?: string;
+}
+
+export interface LlmTraceRun {
+  job_id: string;
+  case_id: string | null;
+  status: LlmTraceRunStatus;
+  current_stage: LlmTraceWorkflowStage;
+  trace_completeness: LlmTraceCompleteness;
+  error_stage: string | null;
+  error_summary: string | null;
+  started_at: string;
+  finished_at: string | null;
+  updated_at: string;
+}
+
+export interface LlmTraceCall {
+  call_id: string;
+  job_id: string;
+  sequence: number;
+  task: LlmTaskName;
+  workflow_stage: LlmTraceWorkflowStage;
+  rewrite_round: number | null;
+  provider: LlmProviderName;
+  model: string;
+  status: LlmTraceCallStatus;
+  request_object_key: string | null;
+  response_object_key: string | null;
+  token_usage: Record<string, number> | null;
+  schema_name: string | null;
+  schema_valid: boolean | null;
+  validation_issues: string[];
+  business_status: LlmBusinessStatus | null;
+  duration_ms: number | null;
+  started_at: string;
+  responded_at: string | null;
+  validated_at: string | null;
+  failed_at: string | null;
+  error_type: LlmTraceErrorType | null;
+  error_summary: string | null;
+}
+
+export type LlmTraceCallPublic = Omit<
+  LlmTraceCall,
+  "request_object_key" | "response_object_key"
+> & {
+  request_available: boolean;
+  response_available: boolean;
+};
+
+export interface LlmTraceManifest {
+  run: LlmTraceRun;
+  calls: LlmTraceCallPublic[];
+}
+
+export type LlmClientTraceEvent =
+  | {
+      type: "started";
+      call_id: string;
+      task: LlmTaskName;
+      context: LlmTraceContext;
+      provider: LlmProviderName;
+      model: string;
+      request: unknown;
+      started_at: string;
+    }
+  | {
+      type: "responded";
+      call_id: string;
+      response: unknown;
+      duration_ms: number;
+      responded_at: string;
+    }
+  | {
+      type: "validated";
+      call_id: string;
+      schema_name: string;
+      schema_valid: boolean;
+      validation_issues: string[];
+      validated_at: string;
+    }
+  | {
+      type: "failed";
+      call_id: string;
+      error_type: LlmTraceErrorType;
+      error_summary: string;
+      duration_ms: number;
+      failed_at: string;
+    };
+
+export type LlmClientTraceHandler = (
+  event: LlmClientTraceEvent,
+) => void | Promise<void>;
+
+export type LlmTraceStreamEvent =
+  | {
+      type: "llm_call_started";
+      job_id: string;
+      call_id: string;
+      sequence: number;
+      task: LlmTaskName;
+      workflow_stage: LlmTraceWorkflowStage;
+      rewrite_round: number | null;
+      provider: LlmProviderName;
+      model: string;
+      started_at: string;
+      request_available: boolean;
+    }
+  | {
+      type: "llm_call_responded";
+      job_id: string;
+      call_id: string;
+      duration_ms: number;
+      token_usage: Record<string, number> | null;
+      responded_at: string;
+      response_available: boolean;
+    }
+  | {
+      type: "llm_call_validated";
+      job_id: string;
+      call_id: string;
+      schema_name: string;
+      schema_valid: boolean;
+      validation_issues: string[];
+      validated_at: string;
+    }
+  | {
+      type: "llm_call_failed";
+      job_id: string;
+      call_id: string;
+      error_type: LlmTraceErrorType;
+      error_summary: string;
+      failed_at: string;
+    }
+  | {
+      type: "trace_warning";
+      job_id: string;
+      trace_completeness: "incomplete";
+      error_summary: string;
+    };

src/lib/workflow/__tests__/stream-events.test.ts

@@ -19,6 +19,28 @@ describe("optimization stream events", () => {
     );
   });
 
+  it("encodes LLM call metadata without raw request or response bodies", () => {
+    const event: OptimizationStreamEvent = {
+      type: "llm_call_started",
+      job_id: "job_123",
+      call_id: "llmcall_1",
+      sequence: 1,
+      task: "fact_extractor",
+      workflow_stage: "fact_card",
+      rewrite_round: null,
+      provider: "deepseek",
+      model: "deepseek-v4-pro",
+      started_at: "2026-07-16T00:00:00.000Z",
+      request_available: true,
+    };
+
+    const encoded = encodeOptimizationStreamEvent(event);
+
+    expect(JSON.parse(encoded)).toEqual(event);
+    expect(encoded).not.toContain("messages");
+    expect(encoded).not.toContain("Authorization");
+  });
+
   it("parses chunked NDJSON while preserving incomplete lines", () => {
     const first = parseOptimizationStreamChunk(
       "",

src/lib/workflow/stream-events.ts

@@ -3,6 +3,7 @@ import type {
   OptimizedArticle,
   QaReport,
 } from "../domain/types";
+import type { LlmTraceStreamEvent } from "../llm/trace-types";
 
 export type OptimizationStreamStage =
   | "input"
@@ -13,7 +14,7 @@ export type OptimizationStreamStage =
   | "rewrite"
   | "final";
 
-export type OptimizationStreamEvent =
+type ExistingOptimizationStreamEvents =
   | {
       type: "job_created";
       job: { id: string };
@@ -53,6 +54,10 @@ export type OptimizationStreamEvent =
       error: string;
     };
 
+export type OptimizationStreamEvent =
+  | LlmTraceStreamEvent
+  | ExistingOptimizationStreamEvents;
+
 export function encodeOptimizationStreamEvent(
   event: OptimizationStreamEvent,
 ) {