PytorchConnectomics / PytorchConnectomics/pytc-client
feature: natural language to initial workflow config
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- Dominant language
- Python
- Stars
- 2
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
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.
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.
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- Read the whole issue, then the project's contributing guide.
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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.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100