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18. Cascading Agents (Model Cascading)

Mini-Project: Cost-Optimized Model Cascade

Routes queries through a fast cheap model first — if confidence is high, returns immediately; otherwise escalates to a premium model, optimizing cost while maintaining quality on hard queries.

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Description

Cascading Agents route tasks through a hierarchy of models ordered by capability and cost. A small, fast, cheap model handles the request first. If the model's confidence is below a threshold (or the task is flagged as complex), it escalates to a larger, more capable (and expensive) model. This optimizes the cost-quality tradeoff: easy queries are handled cheaply, and only difficult queries incur the cost of a premium model.

This pattern is used extensively in production systems (e.g., Gemini Flash → Gemini Pro) and is also known as model cascading or tiered inference.

When to Use

  • High-volume applications where most queries are simple
  • When cost optimization is critical
  • Systems requiring different quality tiers
  • When you can reliably estimate task difficulty

Benefits

Benefit Description
Cost Efficiency 80%+ of queries handled by cheap models
Quality Preservation Hard queries still get premium model treatment
Latency Reduction Simple queries get faster responses
Scalability Lower compute costs enable higher throughput

Architecture Diagram

flowchart TD
    A[User Query] --> B[Tier 1: Small/Fast Model]
    B --> C{Confident?}
    C -->|Yes| D[Return Response]
    C -->|No| E[Tier 2: Medium Model]
    E --> F{Confident?}
    F -->|Yes| D
    F -->|No| G[Tier 3: Premium Model]
    G --> D

    style A fill:#4CAF50,color:#fff
    style B fill:#00BCD4,color:#fff
    style E fill:#FF9800,color:#fff
    style G fill:#F44336,color:#fff
    style D fill:#4CAF50,color:#fff