cost-optimizer

name	cost-optimizer
description	Track and optimize LLM token spend: estimate costs per task, recommend model tiers, monitor cumulative usage, suggest batching strategies.
category	meta
maturity	beta
tags	["token-counting","llm-pricing","model-tier","usage-analysis","budget-estimation"]

cost-optimizer

Track and optimize LLM token spend: estimate costs per task, recommend model tiers, monitor cumulative usage, suggest batching strategies.

Use When

• Analyzing API costs for a project or session
• Choosing between model tiers (opus vs sonnet vs haiku)
• Estimating token budgets for upcoming work
• Reducing unnecessary token usage
• Reviewing cumulative spend

Scripts

token-counter.py

Count tokens in text input (stdin or file). Uses tiktoken-compatible estimation.

echo "Hello world" | python3 scripts/token-counter.py
python3 scripts/token-counter.py < myfile.txt
python3 scripts/token-counter.py --file myfile.txt

cost-estimator.py

Map token counts to USD costs for various models.

python3 scripts/cost-estimator.py --input 1000 --output 500 --model claude-opus-4
python3 scripts/cost-estimator.py --input 1000 --output 500  # shows all models

usage-analyzer.sh

Analyze OpenClaw usage logs to find spending patterns.

bash scripts/usage-analyzer.sh [--days 7] [--log-dir ~/.openclaw/logs]

References

• references/model-pricing.md — Current pricing for major LLM providers
• references/token-heuristics.md — Rules of thumb for estimating tokens
• references/cost-reduction.md — Strategies to reduce token spend