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nate_nowack

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yea i dont think there's any blocker from a protocol perspective, im just saying i'd love to see it happen. adoption for sure among the largest hurdles id guess

interesting! I hadn't seen that before

ai_fn is just a specific way to use Marvin's Bot abstraction, which is one of the few abstractions Marvin offers

but a couple differences I notice off the bat between ai_fn and com2fun:

- marvin uses pydantic for parsing LLM to result types

- you can pass plugins/personality/instructions to the underlying bot via the @ai_fn decorator kwargs

- (unless I'm missing a dataclass version of this in com2fun) marvin can parse output into arbitrary pydantic types like this example https://github.com/PrefectHQ/marvin/issues/106#issuecomment-...

Hi!

This example was produced using GPT 3.5 turbo, where yes, the LLM does not always align ideally. I used 3.5 for the example since that's Marvin's default and I know many people wouldn't have gpt4 access yet (which is significantly better at following instructions) - didn't want to set a misleading expectation.

that said, my instructions for the bot in this example certainly could have been more precise :) for a more real example, you could check out the other example (which works pretty well on 3.5) https://github.com/PrefectHQ/marvin/blob/main/examples/load_...