managarten/packages/shared-llm/src/llm-client.service.ts
Till JS e2f144962c feat: add unified @manacore/shared-llm package and migrate all backends
Create a shared LLM client package that provides a unified interface
to the mana-llm service, replacing 9 individual fetch-based integrations
with consistent error handling, retry logic, and JSON extraction.

Package (@manacore/shared-llm):
- LlmModule with forRoot/forRootAsync (NestJS dynamic module)
- LlmClientService: chat, json, vision, visionJson, embed, stream
- LlmClient standalone class for non-NestJS consumers
- extractJson utility (consolidates 3 markdown-stripping implementations)
- retryFetch with exponential backoff (429, 5xx, network errors)
- 44 unit tests (json-extractor, retry, llm-client)

Migrated backends:
- mana-core-auth: raw fetch → llm.json()
- planta: raw fetch + vision → llm.visionJson()
- nutriphi: raw fetch + regex → llm.visionJson() + llm.json()
- chat: custom OllamaService (175 LOC) → llm.chatMessages()
- context: raw fetch → llm.chat() (keeps token tracking)
- traces: 2x raw fetch → llm.chat()
- manadeck: @google/genai SDK → llm.json() + llm.visionJson()
- bot-services: raw Ollama API → LlmClient standalone
- matrix-ollama-bot: raw fetch → llm.chatMessages() + llm.vision()

New credit operations:
- AI_PLANT_ANALYSIS (2 credits, planta)
- AI_GUIDE_GENERATION (5 credits, traces)
- AI_CONTEXT_GENERATION (2 credits, context)
- AI_BOT_CHAT (0.1 credits, matrix)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23 22:06:30 +01:00

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TypeScript

import { Inject, Injectable } from '@nestjs/common';
import { LlmClient } from './llm-client';
import { LLM_MODULE_OPTIONS } from './llm.constants';
import type { LlmModuleOptions } from './interfaces/llm-options.interface';
import { resolveOptions } from './interfaces/llm-options.interface';
/**
* NestJS injectable wrapper around LlmClient.
* All logic lives in the framework-agnostic LlmClient base class.
*/
@Injectable()
export class LlmClientService extends LlmClient {
constructor(@Inject(LLM_MODULE_OPTIONS) options: LlmModuleOptions) {
super(resolveOptions(options));
}
}