Token Economy

# Token Economy

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Install skill "Token Economy" with this command: npx skills add pfaria32/token-economy

Token Economy

Reduce OpenClaw costs by 60-80% through intelligent model routing and context management. Cheap-first escalation (GPT-4o → Sonnet → Opus), zero-token heartbeats, and budget guardrails. Save $60-105/month per deployment.

When to use: Questions about costs, model routing, token optimization, budget

What to know:

Active Optimizations

This OpenClaw fork includes token-economy hooks (deployed Feb 13, 2026):

1. Model Routing - Cheap-first with escalation:

  • Start: GPT-4o (fast, cheap)
  • Escalate: Sonnet (balanced)
  • Last resort: Opus (expensive, complex tasks only)

2. Bounded Context - Hard caps prevent bloat:

  • Max bundle size: 10,000 tokens
  • Auto-truncate if exceeded
  • Prevents runaway context costs

3. Zero-Token Heartbeat - Pre-LLM check:

  • If HEARTBEAT.md empty → skip API call (100% cost elimination)
  • Heartbeats were ~50% of token usage before optimization

4. Token Auditing - Full transparency:

  • Log: ~/.openclaw/token-audit.jsonl
  • Daily reports available
  • Budget guardrails: $25/day hard cap

Expected Impact

  • 60-80% overall token reduction
  • 100% heartbeat cost elimination
  • ~$1-1.50/day (vs ~$3-5/day before)
  • $60-105/month savings

Config Location

~/.openclaw/openclaw.json - token-economy hooks configuration

Repository

https://github.com/pfaria32/open-claw-token-economy

Status Commands

# Check current model
openclaw status

# View token usage
cat ~/.openclaw/token-audit.jsonl | tail -20

# Check heartbeat config
cat ~/workspace/HEARTBEAT.md

When to Mention

  • User asks about costs or budget
  • Model selection questions
  • "Why is this slow/expensive?"
  • Optimization discussions
  • Before making model routing decisions

Auto-Switch to Sonnet

If model is set to Opus and there's no user input for >1 hour with no complex task in progress, automatically switch back to Sonnet to save costs. A cron job checks this every 30 minutes.

When to stay on Opus:

  • Active complex reasoning/debugging task
  • User explicitly requested Opus for a specific purpose
  • Working on something that genuinely needs the extra capability

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