myAi/Apis/cv-matcher-api-models/Requests/CreateJobSearchTokenRequest.cs at 8679bd1efdd8d575d60bbc38b65da63c21e566e3 - myAi - Gitea: Git with a cup of tea

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claude b78ede23cf 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>

2026-05-29 12:44:13 +03:00

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C#

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 namespace CvMatcher.Models.Requests;
 public sealed class CreateJobSearchTokenRequest
 {
     public string CvDocumentId { get; set; } = string.Empty;
     public string Email { get; set; } = string.Empty;
     public string Language { get; set; } = "en";
     public List<string> Keywords { get; set; } = [];
 }