Model tiering: default the orchestrator to the mid tier and escalate per named step
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Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- ai-infra-agents
Research direction
Read the model-tiering guidance and cost advisor entry points to find where model recommendations are made. Add a recommendation to use a mid-tier orchestrator and escalate for named hard steps. Replay a workload and compare spend per merged PR, merge rate, and review recall; done when spend drops without either quality measure worsening.
Written by the indexing model from the issue text.
Description
Field report (2026-10-19): the main orchestrating agent ran on the top tier and accounted for 57% of a $301 day.
Proposal: model-tiering guidance plus the cost advisor should flag a top-tier orchestrator and recommend a mid-tier default, with escalation only for a named hard step.
Done when: spend per merged PR drops on a replayed workload without a worse merge rate or review recall.
🤖 Generated with Claude Code
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- Avg merge
- 1h 32m
- Merged PRs (30d)
- 530
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
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.
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