Task Delegation Pattern
Patterns · 5 min
The Problem
A single agent can't do everything better than specialized tools. You need a system that selects the right agent for the right task.
Architecture
User Request
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v
[Orchestrator Agent]
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+---> [Research Agent] ----> Web Search, Docs
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+---> [Coder Agent] ----> Code Generation
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+---> [Review Agent] ----> PR Review, Tests
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v
Final ResponseImplementation
1. Intent Classification
The Orchestrator classifies the user request and routes it to the appropriate agent.
2. Routing Matrix
const routes = {
'code-generation': coderAgent,
'research': researchAgent,
'review': reviewAgent,
'deployment': deployAgent,
'question': qaAgent,
}3. Priority Queue
For multiple concurrent tasks: Set priorities (1 = highest). Deadline tracking prevents tasks from waiting forever.
4. Result Aggregation
The Orchestrator collects results from all sub-agents and synthesizes a final response.
Important Aspects
- Timeout: Each sub-agent needs a max timeout
- Retry: Max 2x on errors
- Fallback: What if all agents fail?
- Cost Control: Budget limits per task
Sources
Next step: move from knowledge to implementation
If you want more than theory: setups, workflows and templates from real operations for teams that want local, documented AI systems.
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