feat: async score jobs — POST /api/score/async + 评分记录 page

Each async score job:
- Runs InlineScorer.score() in thread pool
- Writes standard run artifacts (metadata.json, scores.csv, summary.md)
- Runs optimization_advisor => optimization_advice.md
- Result appears in 运行列表 and 报告详情 with full report

New endpoints:
- POST /api/score/async  (202, job_id immediate)
- GET  /api/score/jobs   (list all jobs)
- GET  /api/score/jobs/{id} (single job status)

Frontend:
- 评分记录 nav page with card list
- 5s auto-polling for queued/running jobs
- 查看报告 button navigates to existing 报告详情 page

Dify: change /api/score -> /api/score/async, no response parsing needed

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

webapp/models.py

@@ -514,3 +514,40 @@ class ScoreResponse(BaseModel):
         default=None,
         description="打分异常时的错误信息（HTTP 200 仍返回，scores 为空）。",
     )
+
+
+# ---------------------------------------------------------------------------
+# 异步评分记录模型
+# ---------------------------------------------------------------------------
+
+class AsyncScoreJobResponse(BaseModel):
+    """Immediate 202 response after submitting an async score job."""
+
+    job_id: str = Field(description="任务唯一标识符，用于后续查询结果。")
+    status: str = Field(default="queued", description="初始状态：queued。")
+    run_id: str | None = Field(
+        default=None,
+        description="评分完成后写入的 Run ID，可在「运行列表」中查看完整报告。",
+    )
+
+
+class AsyncScoreJobStatus(BaseModel):
+    """State of one async score job (queued → running → completed/failed)."""
+
+    job_id: str = Field(description="任务唯一标识符。")
+    status: str = Field(description="queued | running | completed | failed")
+    created_at: str = Field(default="", description="创建时间（ISO 8601 UTC）。")
+    finished_at: str = Field(default="", description="完成时间（ISO 8601 UTC）。")
+    run_id: str | None = Field(
+        default=None,
+        description="完成后对应的 Run ID，可通过 GET /api/runs/{run_id} 查看完整报告。",
+    )
+    request_summary: dict = Field(
+        default_factory=dict,
+        description="请求参数快照（question 前80字、metrics、judge_model 等）。",
+    )
+    scores: dict[str, float | None] = Field(default_factory=dict, description="各指标得分。")
+    weighted_score: float | None = Field(default=None, description="加权综合得分。")
+    latency_ms: int = Field(default=0, description="评分耗时毫秒。")
+    skipped_metrics: list[str] = Field(default_factory=list)
+    error: str | None = Field(default=None)