feat(#21): implement ollama integration
- Add Ollama client library (ollama npm package) - Create LlmService for chat completion and embeddings - Support streaming responses via Server-Sent Events - Add configuration via env vars (OLLAMA_HOST, OLLAMA_TIMEOUT) - Create endpoints: GET /llm/health, GET /llm/models, POST /llm/chat, POST /llm/embed - Replace old OllamaModule with new LlmModule - Add comprehensive tests with >85% coverage Closes #21
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apps/api/src/llm/dto/embed.dto.ts
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apps/api/src/llm/dto/embed.dto.ts
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import { IsArray, IsString, IsOptional } from "class-validator";
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export class EmbedRequestDto { @IsString() model!: string; @IsArray() @IsString({ each: true }) input!: string[]; @IsOptional() @IsString() truncate?: "start" | "end" | "none"; }
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export interface EmbedResponseDto { model: string; embeddings: number[][]; totalDuration?: number; }
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