Feature: Automatic Model Selection for Token Efficiency

Resolved 💬 3 comments Opened Feb 15, 2026 by CtodGit Closed Feb 15, 2026

Problem

Agents default to expensive models (Opus/Sonnet) for tasks that can be completed with cheaper models (Haiku). This wastes user tokens unnecessarily.

Request

Implement automatic model selection that always uses the minimum capable model for the task:

  • Haiku: Exploration, search, file reading, research
  • Sonnet: Context-gathering, moderate analysis
  • Opus: Only when complex reasoning is required

Benefit

Token efficiency should be the default behavior. Users shouldn't need to manually optimize—always pick the cheapest model that works for the given task.

View original on GitHub ↗

This issue has 3 comments on GitHub. Read the full discussion on GitHub ↗