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>
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using Microsoft.EntityFrameworkCore.Migrations;
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using CvSearch.Data;
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#nullable disable
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namespace CvSearch.Data.Migrations
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{
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/// <inheritdoc />
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public partial class AddKeywordsToJobSearchTokens : Migration
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{
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/// <inheritdoc />
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protected override void Up(MigrationBuilder migrationBuilder)
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{
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migrationBuilder.AddColumn<string>(
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name: "Keywords",
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schema: MigrationConstants.SchemaName,
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table: "JobSearchTokens",
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type: "nvarchar(1000)",
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maxLength: 1000,
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nullable: false,
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defaultValue: "");
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}
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/// <inheritdoc />
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protected override void Down(MigrationBuilder migrationBuilder)
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{
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migrationBuilder.DropColumn(
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name: "Keywords",
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schema: MigrationConstants.SchemaName,
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table: "JobSearchTokens");
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}
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}
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}
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