I will integrate an llm API feature into your Node.JS web APP

Add a useful AI feature to your existing Node.js application without starting with an oversized rebuild. I will integrate one LLM API provider for one agreed text-generation or summarization workflow.

At MindShiftz, my work includes prompt design and evaluation, LLM provider integration through OpenRouter, and RAG pipelines connected to application backends. I consider output quality, latency, and usage cost when designing practical AI features.

This entry package covers ONE backend endpoint in an existing, working Node.js or Express.js app: server-side provider integration, one reusable prompt template, input validation, basic error handling, environment-variable setup guidance, sample requests, and one revision within scope. API secrets stay server-side and are not committed to source code.

You receive the updated source files, a sample environment file without secrets, and a concise handover. The provider account, API credits, and hosting are supplied and paid for by you. Share redacted project details on Osdire to confirm compatibility before ordering.

RAG document indexing, vector databases, chat interfaces, agents, fine-tuning, production infrastructure, and sensitive-data workflows are separate scopes. This package does not train a custom model or guarantee model accuracy. Delivery begins after the workflow and existing application requirements are confirmed.

Before implementation, we agree on representative input examples and the intended output. I check the endpoint with a valid request and a failed-provider scenario, then document the expected responses. This keeps the handover useful to the person maintaining your application and gives us a clear basis for the included revision.