token-optimizer

OpenClaw token costs are reduced by routing tasks to Haiku by default and reserving expensive models for complex operations. The optimizer automatically applies this routing logic along with heartbeats, caching, and budget controls to minimize expenses.

Yes, OpenClaw heartbeats can be routed via Ollama or other local options to avoid paid API costs. The optimizer configures multi-provider heartbeats to ensure operational checks do not consume paid model tokens.

Budget controls in OpenClaw are established by enforcing daily and monthly budgets with rate limits to prevent runaway costs. The optimizer applies these controls alongside caching and routing configurations to cap token usage.

The best way to preview OpenClaw cost optimization changes is using a dry-run. The optimizer provides a dry-run preview to review model routing, heartbeat, caching, and rate-limit configurations before committing them to your deployment.

Prompt caching reduces token consumption by reusing prompts for repeated content within OpenClaw. The optimizer implements this caching mechanism to lower token usage during real-world deployments and routine operations.