You are building a multi-agent research system with the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one that searches the web, one that analyzes documents, one that synthesizes findings, and one that generates reports. The system researches topics and produces comprehensive, cited reports.
In production, you observe the following:
Simple fact-checking queries (e.g., "What year was the Paris Climate Agreement signed?") traverse all four subagents sequentially, consuming 40+ seconds and significant tokens per query.
Complex comparative research benefits from running the full pipeline.
Your query distribution is diverse and continually evolving as users discover new applications.
What is the most effective approach to optimize the system for this varying query complexity?
Community Discussion
No comments yet. Be the first to start the discussion!
Community Discussion