In the community of Large Language Model (LLM) developers, there's a default approach: projects usually begin with direct API calls to AI models, and as the project expands and becomes more complex, developers move towards using orchestration frameworks like LangChain and LlamaIndex.
This shift helps them to structure and manage complex interactions with LLMs more efficiently and scalably, thereby optimizing the challenges of developing AI projects.