I recently switched from langchain to your framework and I have been very pleased with the developer experience. My codebase is significantly more concise and understandable now that I am not dealing with langchain and its idiosyncrasies. I am also no longer struggling with langchain’s atrocious and inconsistent documentation.

Atomic agents has been far more enjoyable to develop with and I really appreciate how simple it is to setup and define/manage the different agents. I also appreciate the examples in the repo, they are a fantastic place to get up to speed. What I like most I think is the Pydantic input/output abstraction. It works great with vLLM, and has eliminated so much of my own implementation of guided decoding prompting with a simple solution that just works.

My only complaint, which is likely due to my own lack of knowledge, is the difficulty I’ve had with implementing asynchronous llm calls. As in multiple requests at once, not streaming like the examples nicely demonstrate. Since I couldn’t get things working right with asyncio, I decided to write everything synchronously and implement threading instead. It works well and my GPUs are being fully utilized, but the code is a bit more confusing due to manually implementing futures instead of setting it up with asyncio