[nuwandavek]

(author of the blogpost here) Yeah, you can extract a LOT of performance from the basics and don't have to do any complicated setup for ~99% of use cases. Keep the loop simple, have clear tools (it is ok if tools overlap in function). Clarity and simplicity >>> everything else.

[samuelstros]

does a framework like vercel's ai sdk help, or is handling the loop + tool calling so straightforward that a framework is overcomplicating things?

for context, i want to build a claude code like agent in a WYSIWYG markdown app. that's how i stumbled on your blog post :)

[ahmedhawas123]

Function / tool calling is actually super simple. I'd honestly recommend either doing it through a single LLM provider (e.g., OpenAI or Gemini) without a hard framework first, and then moving to one of the simpler frameworks if you feel the need to (e.g., LangChain). Frameworks like LangGraph and others can get really complicated really quickly.

[brabel]

Check the OpenAI REST API reference. Most engines implement that and you can see how tool calls work. It’s just a matter of understanding the responses they give you, how to put them in the messages history and how to invoke a tool when the LLM asks for it.

[nuwandavek]

There may be other reasons to use ai sdk, but I'd highly recommend starting with a simple loop + port most relevant tools from Claude Code before using any framework.

Nice, do share a link, would love to check out your agent!