OpenClaw Cost Control Playbook: 7 Moves to Scale Without Surprise Bills

If your OpenClaw workflows are productive but getting expensive, this is the shortest path to fix it without sacrificing quality.

The Core Idea

Cost is usually not a model problem. It is a routing problem:

• Which task goes to which model
• How much context is included
• How often heavy jobs run

1) Task Tiering

Use three tiers:

• L1: low-risk formatting/summarization
• L2: medium-risk drafting/analysis
• L3: high-risk architecture/security

routing:
  L1: { model: codex53, thinking: low }
  L2: { model: codex53, thinking: medium }
  L3: { model: opus, thinking: medium }

2) Context Budgeting

Do not pass full history every time.

• Must-have: task goal + constraints + acceptance criteria
• Optional: last 3-5 relevant messages
• On-demand: retrieve older context with semantic memory search

3) Parallel, But Only Independent Steps

Parallelize only when inputs and outputs are truly separable. Otherwise, you multiply cost with duplicated context.

4) Cron by Value Density

Separate quick checks from deep work:

• High-frequency checks: status only
• Low-frequency deep jobs: generate reusable assets

5) Template the Output

Structured output reduces drift and token waste.

1. SEO title
2. Problem framing
3. Step-by-step actions
4. Config/code sample
5. Common mistakes
6. CTA

6) Weekly Cost Review

Track just three metrics first:

• Task count
• Total cost
• Average cost per task

Then record reason for change and next optimization action.

7) Spend by Value

Reserve premium quality for high-impact tasks. Optimize cost for repetitive operations.

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