smartmeter

To reduce AI API costs in OpenClaw, you can analyze session logs to identify usage patterns and generate an optimized openclaw.json configuration. This routes tasks to cheaper models and applies budget controls, cutting API spending by up to 60%.

Intelligent model routing optimizes LLM usage by parsing session logs to classify task complexity. It then generates a configuration that automatically directs simpler tasks to lower-cost models without sacrificing quality, significantly reducing overall token expenditure.

Yes, you need existing OpenClaw session logs to analyze AI costs. The tool parses these usage data logs to understand your token counts, task classifications, and current spending before it can recommend model and configuration changes.

The best way to configure budget management for AI agents is to generate an optimized openclaw.json file. It automatically implements specialized agent creation and budget controls based on your actual parsed usage data to prevent overspending.

smartmeter specifically analyzes OpenClaw session logs to generate optimized openclaw.json files. It does not mention compatibility with other AI cost optimization tools, focusing entirely on internal model routing and budget management configurations.