Task Decomposition Strategies: Worked Example — Agentic Architecture & Orchestration (Claude Certified Architect)
Task Decomposition Strategies - Worked Example In the realm of agentic architecture, designing effective task decomposition strategies is crucial for...
Task Decomposition Strategies - Worked Example
In the realm of agentic architecture, designing effective task decomposition strategies is crucial for the seamless operation of multi-agent systems. This article provides a detailed, step-by-step worked example that illustrates how to implement task decomposition in a realistic scenario using the Claude Agent SDK.
Scenario Overview
Imagine a scenario where a team of agents is tasked with managing a customer service inquiry system. The primary goal is to handle incoming customer requests, categorize them, and route them to the appropriate subagents for resolution. This requires a well-structured approach to task decomposition.
Step 1: Define the Main Task
The main task is to process customer inquiries. This task can be broken down into several sub-tasks:
- Receive inquiry
- Classify inquiry type
- Route to appropriate subagent
- Follow up on resolution
Step 2: Identify Subagents
Next, we identify the subagents responsible for each sub-task:
- Classification Subagent: Responsible for determining the type of inquiry (e.g., billing, technical support).
- Routing Subagent: Handles the logic for directing inquiries to the correct resolution agent.
- Follow-up Subagent: Ensures that the customer is satisfied with the resolution.
Step 3: Implementing the Coordinator-Subagent Pattern
Using the Claude Agent SDK, we implement a coordinator that manages the interaction between the main task and the subagents. The coordinator will:
- Receive the customer inquiry.
- Invoke the classification subagent to determine the inquiry type.
- Based on the classification, call the routing subagent.
- Once routed, the follow-up subagent will be engaged to confirm resolution.
Step 4: Context Management
Effective context management is essential for maintaining the state throughout the task execution. The coordinator will:
- Pass context information (e.g., customer details, inquiry history) to each subagent.
- Manage session state to allow for resumption if an inquiry requires additional information.
- Implement forking strategies to handle inquiries that may branch into multiple follow-up tasks.
Step 5: Programmatic Enforcement of Workflows
To ensure that the workflow adheres to the defined structure, we apply programmatic enforcement:
- Define clear entry and exit points for each subagent.
- Utilize SDK hooks for tool call interception, ensuring that each agent's actions are logged and monitored.
Conclusion
By following these steps, we can effectively decompose the main task of processing customer inquiries into manageable sub-tasks, utilizing the strengths of the Claude Agent SDK. This structured approach not only enhances the efficiency of the multi-agent system but also ensures a high level of service quality for customer interactions.