feat(job-search): extract keywords from LLM match call instead of heuristics

Piggybacks keyword extraction onto the existing CV-to-job LLM call —
no extra API calls. The system prompt now instructs the model to return
8-12 English job-search terms (job titles, technologies, skills, domains)
in a new `keywords` field alongside the existing score/summary fields.

Keywords flow: LLM JSON → JobMatchResponse.Keywords → CreateJobSearchTokenRequest →
JobSearchTokenEntity.Keywords (stored comma-separated) → JobSearchSessionEntity.Keywords
(copied at session-creation time, no RAG call needed).

Changes:
- Add Keywords to JobMatchResponse, CreateJobSearchTokenRequest, JobSearchTokenEntity
- IJobTokenService.CreateTokenAsync now accepts IReadOnlyList<string> keywords
- JobTokenService: store keywords on token; TriggerStartAsync reads token.Keywords
  instead of fetching CV text from RAG — removes IRagApiClient dependency
- Remove heuristic ExtractKeywords method
- Migration AddKeywordsToJobSearchTokens: adds Keywords column to cvSearch.JobSearchTokens
- Migration UpdateCvMatchSystemPromptKeywords: updates ai.cv-match.system-prompt seed
  to include keywords in the JSON shape

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Apis/api/Controllers/CvMatcherController.cs

@@ -181,7 +181,7 @@ public sealed class CvMatcherController : ControllerBase
                 try
                 {
                     var tokenResp = await _jobSearchApi.CreateTokenAsync(
-                        new CreateJobSearchTokenRequest { CvDocumentId = request.CvDocumentId, Email = request.Email, Language = language },
+                        new CreateJobSearchTokenRequest { CvDocumentId = request.CvDocumentId, Email = request.Email, Language = language, Keywords = res.Keywords },
                         ct);
                     if (!string.IsNullOrWhiteSpace(tokenResp.TokenId))
                     {