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Because it tries to solve non existent problems (prompt templates for example) and adds complexity, instead of abstracting

• stingraycharles 10mo ago
  Ok I agree with that, I think they had some weird idea of managing templates in LangSmith and then being able to load them dynamically from LangChain. LangSmith’s prompt engineering workflow is okay-ish but a lot of work and gets quite expensive quite fast, and only works for a specific set of prompts (ie one-turn prompts, multi-turn never works). PydanticAI seems more lightweight and gets out of the way.
  • peab 10mo ago
    Yes, Pydantic ai successfully abstracts the tool call loop, and makes it easy to test out different models.