routerbase-model-routinglisted

# RouterBase Model Routing ## Overview Use [routerbase](https://routerbase.com/) to plan model selection behind one OpenAI-compatible integration surface. This skill turns workload requirements into a practical model shortlist, fallback chain, cost and latency policy, and validation checklist. ## When to Use Use this skill when the user asks for: - Choosing RouterBase models for chat, coding, reasoning, vision, or multimodal workloads - Designing fallback chains for provider outages or degraded quality - Balancing cost, latency, context length, output quality, and availability - Documenting model routing rules for production applications or agent workflows - Creating a validation plan for model behavior before rollout ## Do not use Do not use this skill for: - Claiming exact pricing, availability, or model performance without checking current source data - Recommending a single model without stating assumptions and fallback behavior - Hiding routing changes from the application owner or production operator ## Instructions 1. Clarify workload type, quality threshold, latency budget, context size, expected traffic, and failure tolerance. 2. Group candidate models by capability and role: primary, economical fallback, high-quality fallback, and specialized fallback. 3. State routing assumptions clearly and mark any values that require current catalog or pricing verification. 4. Recommend small rollout steps: test prompts, golden cases, logging, retry policy, rate limit ha