Local Model Spend Router

Released: 2026-04-28

Price: $4.99

Category: analytics

What it does

Stop overspending on routine AI work. Tell it the task, complexity, privacy level, context size, and remaining daily budget, and it returns a practical model route: local-first, balanced, premium, or local-only when budget is gone.

It weighs task complexity, privacy sensitivity, context size, latency tolerance, and remaining daily budget, then recommends whether to use local/free models, low-cost cloud models, premium models, or a hybrid fallback chain.

Use cases

• Keep daily model spend under control while escalating important work to stronger models when needed.
• Route routine summaries, coding support, and internal analysis through local-first defaults.
• Apply explicit privacy guardrails before sensitive tasks reach paid cloud providers.

Requirements

• OpenClaw v2026.3.23 or later recommended.
• Python 3.10+.
• No third-party Python packages required.
• No API keys required for routing recommendations.

Example usage

python3 scripts/route_models.py \
  --task "summarize overnight logs" \
  --complexity low \
  --privacy internal \
  --context-tokens 8000 \
  --budget-remaining 0.35

QA and security notes

Viper QA passed 6/6 and Warlock security cleared this release on 2026-04-28.