Ferit
Engineering Manager & Tech Lead | Senior Full-Stack Engineer | React, Node.js, Python, AWS, Docker, Kubernetes | AI/ML & Blockchain | Open Source
Engineering Manager & Tech Lead | Senior Full-Stack Engineer | React, Node.js, Python, AWS, Docker, Kubernetes | AI/ML & Blockchain | Open Source
Most AI applications today rely on a single LLM provider. That works fine until the API goes down, rate limits hit, or your costs spiral out of control. A better approach is to build agents that can orchestrate multiple models and switch between them based on the task at hand.
In this article, I will walk through how I built an AI agent framework that supports OpenAI GPT-4, Ollama local models, Groq ultra-fast inference, and Google Gemini as interchangeable backends.