Subselect probes by input length

[erickgalinkin]

Summary

Some targets will have artificial limits on input length that are independent of the model (e.g. a web frontend that allows only n characters/words of input)

Motivation

Running full sets of probes against these targets is necessarily going to be wasteful and will not indicate anything truly about robustness. If we subselect by length, we can reduce load and improve accuracy.

[mrowebot]

Do we have a discrete list of such targets that can have their input lengths capped?

[leondz]

Interesting feature. Are there concrete examples of this?

Do we have a discrete list of such targets that can have their input lengths capped?

Not really - some are manually tracked in the openai module

Some targets will have artificial limits on input length that are independent of the model (e.g. a web frontend that allows only n characters/words of input)

This sounds like it requires three ingredients

1. Knowledge of the max length, maybe set by config or a generator attrib
2. Knowledge of prompt length, available after prompt is composed, requiring a tokenizer / estimation. A pattern will emerge with estimate token use before sending openai completions #1112
3. Orchestration-level intervention to not pose the prompt. This could be represented as prompt:whatever output:None, which will come back as a skip - that seems appropriate to me, the prompt is skipped.