Local small models need a lighter agent mode
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.1k
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
I tried running with a smaller local model. Normal chat was okay, but multi-step ReAct/tool calling became fragile pretty quickly. A lightweight mode that uses fewer tool rounds and falls back to plain explanation when parsing fails would make local deployment much more practical.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are identified in the issue. Start by locating the agent and tool-calling entry points, then trace how parsing failures are handled. Done should mean a lightweight mode limits tool rounds and falls back to a plain explanation when parsing fails.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100