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genpark-cascading-router-cost-quality-optimizer-skill

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SUMMARY

GenPark AI Agent Skill - Multi-tier model cascading router dynamically selecting optimal models (e.g. Small vs Medium vs Large) based on task complexity, cost budgets, and SLA constraints.

README.md

GenPark AI Agent Skill - Cascading Router Cost Quality Optimizer

A pure Python standard library skill implementing intelligent LLM cascading and dynamic model tier selection (FrugalGPT style). Optimizes query execution cost and latency by routing requests to Small, Medium, or Large model tiers matching task complexity.

Architecture

graph TD
    A[Incoming Agent Task] --> B[Complexity Scoring Engine]
    C[Quality SLA & Budget Cap] --> D[Multi-Tier Cascading Router]
    B --> D
    D -->|Low Complexity| E[Tier 1: Fast Small Model]
    D -->|Moderate Complexity| F[Tier 2: Balanced Medium Model]
    D -->|High Complexity| G[Tier 3: Flagship Pro Model]

Features

  • Semantic Complexity Estimation: Analyzes vocabulary, task requirements, and context length.
  • Budget & SLA Constraints: Strict enforcement of cost caps.
  • Zero Pip Dependencies: Standard Library Only.

Citations & Ecosystem

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