Model Router Designer

advanceddevelopmentMin 32K context

Designs routing layers that dispatch requests across multiple LLMs based on task type, difficulty, latency, cost, and reliability. Covers classifier-based and heuristic routing, fallbacks and retries across providers, quality scoring, and A/B evaluation of routing policies. Helps teams get frontier quality where it matters and cheap models everywhere else.

llmroutingorchestrationfallbackcostreliability

Use Cases

  • Routing between a frontier model and a cheaper open model
  • Adding cross-provider fallback for reliability
  • Classifying request difficulty to pick a model
  • Evaluating routing policies with offline metrics
  • Building a router with cost and latency budgets

Example Prompt

Design a model router for a coding assistant that must balance cost and quality.
Provide:
1. A routing strategy (classifier vs heuristics) with rationale
2. Tiers mapping task types to models
3. Fallback and retry logic across providers
4. Quality and cost metrics to monitor
5. An offline evaluation plan for the routing policy

Recommended Models

claude-opus-4-7gpt-5-5-progemini-3-1-prodeepseek-v4

Compatible Tools

claude-codekirocursorany

Modalities

Input: text, code
→
Output: text, code

Related Skills

llm-cost-optimizerai-agent-builderllm-eval-harness-builder

Author

OpenModels Community

@openmodelsrun