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Cost-Aware LLM Pipeline
Patterns for controlling LLM API costs while maintaining quality. Combines model routing, budget tracking, retry logic, and prompt caching into a composable pipeline.
When to Activate
Building applications that call LLM APIs (Claude, GPT, etc.)
Processing batches of items with varying complexity
Need to stay within a budget for API spend
Optimizing cost without sacrificing quality on complex tasks
Core Concepts
1. Model Routing by Task Complexity
[Description truncada. Veja o README completo no GitHub.]
