[byefruit]

I've seen a couple of talks on DSPy and tried to use it for one of my projects but the structure always feels somewhat strained. It seems to be suited for tasks that are primarily show, don't tell but what do you do when you have significant prior instruction you want to tell?

e.g Tests I want applied to anything retrieved from the database. What I'd like is to optimise the prompt around those (or maybe even the tests themselves) but I can't seem to express that in DSPy signatures.

[thatsadude]

You can optimize prompt with MIPROv2 without examples (set the max number of examples to 0)

[vergessenmir]

And have the chat history end up as an input field instead of each request response being prepared individually for the LLM endpoint?

I'm new to the library but from what I can see the Chat adapter will do this automatically if I use the forward call

Quoting the docs: "Though rarely needed, you can write custom LMs by inheriting from dspy.BaseLM. Another advanced layer in the DSPy ecosystem is that of adapters, which sit between DSPy signatures and LMs. A future version of this guide will discuss these advanced features, though you likely don't need them."

I could be wrong, I could be looking for complexity where there is none.

Have a fundamentally misunderstood how this all works, it sometimes feels like I have?