I’ve noticed that workflow technology, which has been around for quite some time, has recently gained popularity and has become a standard feature in many LLM application frameworks, such as LangFlow, LangChain, llamaindex, and Dify. I’m curious about the factors that have contributed to this resurgence in popularity. What specific advantages does workflow technology offer in the context of these frameworks, and why has it become essential for managing and orchestrating tasks in large model applications?

I’ve researched the history of workflow technology and its applications in traditional software development, but I’m struggling to understand why it has become so integral to modern frameworks designed for LLM applications framework. I was expecting to find more direct explanations or case studies that highlight the unique benefits of workflows in this context, but most resources I found focus on general advantages of workflows rather than their specific relevance to large model frameworks.