Elo

Overview

elo is a selection algorithm that ranks candidate models with an Elo-style feedback score.

It aligns to config/algorithm/selection/elo.yaml.

Key Advantages

• Reuses historical feedback instead of only current-request heuristics.
• Makes ranking behavior easy to tune with a small parameter set.
• Supports category-aware weighting for routes with distinct workloads.

What Problem Does It Solve?

If model quality changes over time, a fixed winner is too rigid. elo lets the route prefer candidates that have consistently performed well on similar traffic.

When to Use

• you collect route-level feedback or quality comparisons
• ranking should improve over time as more comparisons arrive
• one route sees repeatable workloads where a rating system is useful

Configuration

Use this fragment inside routing.decisions[].algorithm:

algorithm:
  type: elo
  elo:
    initial_rating: 1200
    k_factor: 32
    category_weighted: true
    min_comparisons: 10