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
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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
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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
- Agents are categorized into different cost tiers:
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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 queriesconst 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 tasksconst 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 orchestratororchestrator.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