Files
stack/apps/api/src/conversation-archive/dto/search-conversation.dto.ts
Jason Woltje f0c0e6b45a
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feat(api): add conversation archive with vector search (MS22-DB-004, MS22-API-004)
- Add ConversationArchive Prisma model with pgvector(1536) embedding field
- Migration: 20260228000000_ms22_conversation_archive
- NestJS module at apps/api/src/conversation-archive/ with service, controller, DTOs, spec
- POST /api/conversations/ingest — ingest session logs, auto-embed via EmbeddingService
- POST /api/conversations/search — vector similarity search with agentId filter
- GET  /api/conversations — paginated list with agentId + date range filters
- GET  /api/conversations/:id — fetch full conversation including messages
- Register ConversationArchiveModule in app.module.ts
- 8 unit tests, all passing (vitest)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-28 20:20:31 -06:00

41 lines
599 B
TypeScript

import {
IsString,
IsOptional,
MinLength,
MaxLength,
IsInt,
Min,
Max,
IsNumber,
} from "class-validator";
import { Type } from "class-transformer";
/**
* DTO for semantic search across conversation archives
*/
export class SearchConversationDto {
@IsString()
@MinLength(1)
@MaxLength(1000)
query!: string;
@IsOptional()
@IsString()
@MaxLength(500)
agentId?: string;
@IsOptional()
@Type(() => Number)
@IsInt()
@Min(1)
@Max(100)
limit?: number;
@IsOptional()
@Type(() => Number)
@IsNumber()
@Min(0)
@Max(1)
similarityThreshold?: number;
}