概述

API Cost Optimizer

Diagnose, estimate, and optimize LLM API costs for OpenClaw agents running 24/7.

What This Skill Does

Estimates API spend from agent configuration (model, heartbeat interval, task complexity)
Diagnoses heartbeat waste — the #1 cause of runaway API bills
Counts and categorizes tools the agent has access to
Produces a cost report with prioritized recommendations
Estimates time-to-payback for any recommended changes

The Problem This Solves

Documented cases show agents burning $8–$250 per week in API costs due to misconfigured heartbeats and inefficient task patterns. A properly tuned heartbeat alone can reduce costs by 60–90%.

Environment Variables

Variable	Required	Default	Description
----------	----------	---------	-------------
`API_COST_MODEL`	No	`openai`	Provider: `openai`, `anthropic`, `minimax`, `lmstudio`
`API_COST_INTERVAL`	No	`weekly`	Report interval: `daily`, `weekly`, `monthly`
`HEARTBEAT_INTERVAL`	No	`auto`	Override heartbeat interval in seconds (auto-detect if not set)
`MODEL_PRICE_INPUT`	No	auto	Price per 1M input tokens (auto-selected by provider)
`MODEL_PRICE_OUTPUT`	No	auto	Price per 1M output tokens (auto-selected by provider)

Provider Default Pricing (per 1M tokens)

Provider	Model	Input	Output
----------	-------	-------	--------
OpenAI	GPT-4o	$2.50	$10.00
OpenAI	GPT-4o-mini	$0.15	$0.60
OpenAI	GPT-4-turbo	$10.00	$30.00
Anthropic	Claude 3.5 Sonnet	$3.00	$15.00
Anthropic	Claude 3 Opus	$15.00	$75.00
MiniMax	MiniMax-M2	$0.10	$0.10
MiniMax	MiniMax-M2.1	$0.20	$0.40

Scripts

analyze.sh — Full Cost Analysis

Runs a complete cost diagnostic on the current OpenClaw configuration.

./scripts/analyze.sh

Output: Detailed markdown report with:

Estimated API spend (daily / weekly / monthly)
Heartbeat cost analysis
Tool count risk factor
Top 3 cost reduction recommendations
Estimated savings after optimization

heartbeat_diagnosis.sh — Find Heartbeat Waste

Checks OpenClaw heartbeat configuration and calculates wasted API calls.

./scripts/heartbeat_diagnosis.sh

Output: Heartbeat efficiency score (0–100%), wasted calls per day, estimated annual waste.

estimate.sh — Quick Cost Estimate

One-shot estimate with optional custom parameters.

./scripts/estimate.sh <heartbeat_seconds> <tasks_per_day> <avg_input_tokens> <avg_output_tokens>

Output: Daily, weekly, and monthly cost estimates for the given parameters.

Cost Reduction Recommendations

Priority order:

Increase heartbeat interval — If heartbeat is under 5 minutes, increase to 10–30 min for idle agents
Switch to cheaper model — MiniMax M2 at $0.10/1M is 25x cheaper than GPT-4o for most tasks
Batch tasks — Run 5–10 tasks per session instead of 1 task per heartbeat cycle
Cache responses — Use memory skills to avoid repeated context
Disable verbose logging — Reduces token churn in long conversations

Usage Example

# Full analysis with MiniMax pricing
export API_COST_MODEL=minimax
./scripts/analyze.sh

# Quick estimate
./scripts/estimate.sh 300 20 8000 2000

# Heartbeat-only diagnosis
./scripts/heartbeat_diagnosis.sh

Notes

Estimates are based on configuration analysis, not live API metering
For actual spend tracking, enable provider cost logs and compare
MiniMax models offer best price/performance for volume workloads
Heartbeat waste is typically the single largest cost lever

版本历史

共 1 个版本

v1.0.0 当前

2026-05-07 05:25 安全安全

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腾讯云安全 (Sanbu)