ClawPane

Problem

Teams using OpenClaw default to a single model for all agent requests, overpaying for simple tasks and under-serving complex ones. There's no easy way to route requests to different models based on task requirements without custom infrastructure.

Approach

1. 1Drop-in OpenClaw provider — add ClawPane URL and API key in settings
2. 2Automatic model selection based on cost, speed, and quality weights
3. 3Per-router weight tuning with preset configurations
4. 4Real-time cost visibility and usage analytics
5. 5Automatic fallback chains for reliability

Evaluation

ClawPane reduces model spend while maintaining output quality by intelligently routing each request to the optimal model. Setup takes under 5 minutes with no code changes required.

Learnings

• Drop-in integration is critical for adoption — zero code changes wins over better features
• Preset router configurations cover 80% of use cases; custom tuning handles the rest
• Debate mode (3 models, 1 best answer) improves quality on high-stakes requests