Is AdalFlow also focused on automated prompt optimization or is it broader in scope? It looks like there are also some features around evaluation. I'd be really interested to see a comparison between AdalFlow, DSPy [0], LangChain [1] and magentic [2] (package I've created, narrower in scope).
[0] https://github.com/stanfordnlp/dspy
[1] https://github.com/langchain-ai/langchain
[2] https://github.com/jackmpcollins/magentic