I will integrate gpt4 claude API and gemini into your nextjs or nestjs app
About this gig
Next.js 14, NesGoogle Gemini Pro / Gemini Ultra!
Anthropic Claude 3.5 Sonnet / Claude 3 Opus
OpenAI GPT-4o / GPT-4 Turbo
TECH STACK:
Delivered in 21 days
️Complete documentation and deployment support
Context management, memory, and conversation history
Full multi-LLM platform with function calling
Full LLM Platform ($1,400)
Delivered in 14 days
PREMIUM Error handling, retry logic, and logging
Streaming API responses and rate limiting
Integrate GPT-4, Claude, and Gemini with model switching
Multi-LLM Setup ($900)
Delivered in 7 days
STANDARD Basic error handling and API key management
Chat endpoint with streaming responses
Integrate 1 LLM (GPT-4o or Claude) into your Next.js or NestJS app
Starter Integration ($500)
WHAT I WILL BUILD FOR YOU:
BASIC Fast delivery with clear communication
Clean, scalable, and production-ready code
Full-stack Next.js and NestJS backend experience
Expert in OpenAI, Anthropic Claude, and Google Gemini APIs
WHY CHOOSE THIS GIG?
Are you looking to integrate GPT-4, Claude, or Gemini into your Next.js or NestJS application? I will build a production-ready multi-LLM integration with streaming, model switching, and enterprise-grade error handling.
Get to know Youssef Ben Jaa
AI SaaS MVP Developer, GPT4, Claude API, Gemini, NextJS and NestJS
- FromUnited States
- Member sinceMar 2023
- Avg. response time1 hour
Languages
English
Other AI Development Services I Offer
FAQ
Which LLMs do you support for integration?
I integrate OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini Pro into Next.js or NestJS apps with full streaming and error handling.
Can you integrate multiple LLMs in the same app with model switching?
Yes! The Standard and Premium packages include multi-LLM routing so you can switch between GPT-4, Claude, and Gemini based on cost or task type.
Do you provide the source code and documentation?
Yes, all packages include full source code with TypeScript types, inline comments, README documentation, and environment variable setup guide.
What is your tech stack for LLM integration?
We use Node.js/TypeScript with Next.js or NestJS on the backend. For LLM orchestration we leverage LangChain or direct SDK calls to OpenAI, Anthropic, and Google APIs with streaming support and fallback logic.
Can you add rate limiting and cost controls?
Yes. We implement per-user token budgets, request throttling, model fallback chains (e.g., GPT-4o → GPT-3.5 under load), and usage dashboards so you always control costs and reliability.

