Can different tasks use different models?
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- Dominant language
- Python
- Stars
- 1.1k
- Forks
- 8
- PR merge metrics
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Description
I may want a cheap local model for normal tutoring, a stronger hosted model for course generation, and a code-capable model for EduViz. A single global model setting makes deployment less flexible. Task-level model config would help balance cost and quality.
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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
The issue names no files or tests. Start by locating the current global model configuration and the entry points for normal tutoring, course generation, and EduViz; done means each task can select its own model while existing behavior continues to work.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100