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/static/js/api.js

@@ -66,6 +66,11 @@ const API = {
   },
   applyProfiles(body) { return API.post("/api/llm-profiles/apply", body); },
 
+  // 异步评分记录 API
+  scoreJobsAsync(body) { return API.post("/api/score/async", body); },
+  getScoreJob(jobId) { return API.get(`/api/score/jobs/${encodeURIComponent(jobId)}`); },
+  listScoreJobs() { return API.get("/api/score/jobs"); },
+
   // 测试已保存 profile 的连通性
   testProfile(id) {
     return fetch(`/api/llm-profiles/${encodeURIComponent(id)}/test`, { method: "POST" })