We chose LangGraph to build our coding agent

Post by nfcampos » Tue, Mar 25, 2025, 7:27 PM UTC

datadrivenangel wrote: post #9

jeffspinny wrote: post #8

Earlier quoted context omitted.

I think the main thing LangGraph adds is a state machine framework for human in the loop with time travel. So if you have an authoring workflow where a doc goes through a bunch of steps, and at some steps the analyst might want to fix some LLM output manually, and try a couple of things and then go back to the way it was before and try again, it will do that and you won't have to make your own state machine.

Now is it actually a state machine or is it just well logged?

Post by lormayna » Wed, Mar 26, 2025, 8:53 PM UTC

andy_xor_andrew wrote: post #19

teoruiz wrote: post #6

I found that the PydanticAI [0] framework strikes a perfect balance between control and abstraction. I’m building a non trivial AI app and the validation and dependency injection is such a great addition compared to using the LLM libraries directly. [0] https://ai.pydantic.dev/

Thanks, this looks great. I've been playing with Huggingface's Smolagents, which is fun to tinker with and relatively easy to read through. But it is so tightly coupled to its two agent implementations - ToolAgent and CodeAgent - that it's not trivial at all to add your own state transformations. This framework looks really well designed, I'm going to take it for a spin.