A routing middleware that pairs an expensive advisor model with a cheap executor model for OpenClaw agents, cutting API costs by 80% while maintaining output quality
OpenClaw agents burning $50-200/month on premium models for every task, even simple ones. Anthropic proved the advisor/executor pattern works with 2.2M engagement on X when they announced Claude's advisor strategy pairing Opus with Sonnet/Haiku. Existing routing tools pick the cheapest model per task, but none implement a two-tier system where a frontier model reviews and steers a budget model's reasoning. This middleware intercepts OpenClaw agent requests, routes the planning step to an expensive advisor (Opus, GPT-5.4), then hands execution to a budget model (Haiku, Flash) with the advisor's structured guidance attached.
Demand Breakdown
Social Proof 1 sources
Gap Assessment
3 tools exist (ClawRouter, OpenRouter, Manifest (from Dev|Journal article)) but gaps remain: No advisor/executor two-tier pattern. Routes to a single model per request, no model collaboration.; No two-tier advisor/executor handoff. Picks one model per request, no structured planning step..
Features4 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| ClawRouter | Agent-native LLM router for OpenClaw with 41+ models and sub-1ms routing | No advisor/executor two-tier pattern. Routes to a single model per request, no model collaboration. |
| OpenRouter | Universal API gateway routing to 400+ models with Auto Exacto feature for automatic model selection | No two-tier advisor/executor handoff. Picks one model per request, no structured planning step. |
| Manifest (from Dev|Journal article) | Request routing layer for OpenClaw that matches task complexity to model tiers, claiming 70% cost reduction | Complexity-based routing only. No iterative advisor review of executor output. No quality sampling loop. |
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