Model Routing Skillv1.0.1

Developer submits a pull request with stack traces and build errors. The system routes the request to gpt-5-codex for detailed code analysis and debugging suggestions, ensuring rapid resolution. Use case for software development teams aiming to reduce code review time.

A system architect needs to design a microservices architecture for a large-scale e-commerce platform. The request is routed to gpt-5 for deep reasoning and large-context analysis, providing comprehensive architectural recommendations. Applicable for enterprise IT consulting.

A customer submits a simple query like 'What is my account balance?' with no code or deep reasoning. The system routes this to gpt-4.1-nano for a fast, low-cost response, enabling high-throughput support. Suitable for customer support centers.

A user asks a moderate complexity question about product features that doesn't involve code or heavy reasoning. The system routes to gpt-5-mini as the default, balancing cost and accuracy. Ideal for internal knowledge management tools.

Charge per API call with different rates based on the model tier used (e.g., code models cost more, nano models cost less). This aligns pricing with the value and cost of each request.

Offer monthly subscription plans that limit which model tiers users can access (e.g., Basic: nano only, Pro: up to gpt-5-mini, Enterprise: all models). Encourages upgrades for power users.

Define fixed prices for task categories (simple, general, code, heavy) based on the token caps and model used. Each routed request is charged at the corresponding task tier price.