Agent Cost Optimizer
$2.99OfficialAnalyze and reduce AI agent operating costs: model routing, prompt caching, context window management, and batch processing strategies.
What you get
- ✓10-step procedure
- ✓6 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 5 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use this skill when an AI agent's operating cost is too high or growing fast: "my agent costs $X per task," "reduce our LLM spend," "this multi-agent system is burning tokens." Trigger phrases: cost optimization, token spend, model routing, prompt caching, reduce cost, FinOps for AI, cost per task.
Do NOT use it if cost isn't actually a problem (over-optimizing quality away is worse than spending a bit more), or for one-off personal use. This is for production agents where spend is a meaningful line item.
Inputs to gather
- Current spend breakdown: per-task cost, per-model cost, input vs. output token ratio, number of LLM calls per task. Get this from billing or lo
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