feature: natural language to initial workflow config

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
ai

Research direction

The issue names no files, tests, model provider, or config schema. Start by locating the initial workflow setup and the module configuration format; define how natural-language input becomes a validated config and confirm that the selected modules load successfully.

Written by the indexing model from the issue text.

Description

low priority
a formalization of hanson's current item:

as it stands, the initial workflow setup requires the user to manually select every module that they wish to utilize.

Image

ideally, the user should be able to describe their workflow in natural language, and have their workflow configured for them.

mechanistically, this consists of implementing an llm which, when given a semantic of a workflow, outputs a config file corresponding to a set of modules to be used in the app which are then loaded from that. Ensuring the llm outputs a working config file will require a bit of prompt engineering/repeat querying to ensure that we conform to the rigid format.

Dominant language
Python
Stars
2
Forks
6
No merged PRs in 30d

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