Support Local Small Language Models for Reasoning and Decision Optimization

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python

Research direction

No files, tests, or entry points are named. Start by surveying the repository's Python model and agent interfaces, then identify where local inference, offline execution, and model selection belong; done means a local model interface exists, a Phi integration sample is available, and offline mode is validated.

Written by the indexing model from the issue text.

Description

Summary

Allow Agent Learning to leverage local SLMs for reasoning, scoring, decision support, and action selection.

Candidate Models
Microsoft Phi family
Future MAI models
Open-weight local reasoning models
Proposed Work
Local inference abstraction
Offline execution mode
Quantization guidance
Pluggable model architecture
Acceptance Criteria
Local model interface implemented
Phi integration sample available
Offline mode validated

Dominant language
Python
Stars
10
Forks
9
Avg merge
1d 19h
Merged PRs (30d)
4

Contributor guide

No contributing guide indexed for this repository

First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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