Cost-Efficient Routing Pattern

The Multi-Agent Orchestrator can intelligently route queries to the most cost-effective agent based on task complexity, optimizing resource utilization and reducing operational costs.

How It Works

1. Task Complexity Analysis

   • The classifier assesses incoming query complexity
   • Considers factors like required expertise, computational intensity, and expected response time
   • Makes routing decisions based on task requirements

2. Agent Cost Tiers

   • Agents are categorized into different cost tiers:
     • Low-cost: General-purpose models for simple tasks
     • Mid-tier: Balanced performance and cost
     • High-cost: Specialized expert models for complex tasks

3. Dynamic Routing

   • Simple queries route to cheaper models
   • Complex tasks route to specialized agents
   • Automatic routing based on query analysis

Implementation Example

// Configure low-cost agent for simple queries
const basicAgent = new BedrockLLMAgent({
  name: "Basic Agent",
  modelId: "mistral.mistral-small-2402-v1:0",
  description: "Handles simple queries and basic information retrieval",
  streaming: true,
  inferenceConfig: { temperature: 0.0 }
});

// Configure expert agent for complex tasks
const expertAgent = new BedrockLLMAgent({
  name: "Expert Agent",
  modelId: "anthropic.claude-3-sonnet-20240229-v1:0",
  description: "Handles complex analysis and specialized tasks",
  streaming: true,
  inferenceConfig: { temperature: 0.0 }
});

// Add agents to orchestrator
orchestrator.addAgent(basicAgent);
orchestrator.addAgent(expertAgent);

Benefits

• Optimal resource utilization
• Cost reduction for simple tasks
• Improved response quality for complex queries
• Efficient scaling based on query complexity