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Production monitoring shows that follow-up queries such as “summarize what we learned about market trends”...

Production monitoring shows that follow-up queries such as “summarize what we learned about market trends” consistently take more than 40 seconds. Investigation reveals that the coordinator spawns the synthesis subagent for every summarization request, passing more than 80,000 tokens of accumulated findings. The coordinator already has these findings in its context from orchestrating the research. What is the most effective way to improve response time for these follow-up summaries?

A.

Pregenerate and cache summaries at multiple levels of detail whenever new findings accumulate.

B.

Enable prompt caching for the synthesis subagent to reduce the overhead of repeatedly transferring the same research findings.

C.

Have the coordinator answer straightforward summarization requests directly from its existing context, reserving subagent invocation for complex analysis.

D.

Spawn the synthesis subagent with reduced context and allow it to request specific findings from the coordinator on demand.

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