The 3× Token Bill We Didn’t See Coming
Towards Data Science
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Transitioning from a single-agent to a multi-agent LLM architecture using LangGraph unexpectedly tripled token usage despite unchanged task functionality. The increase was due to additional token costs from orchestration overhead, including supervisor decisions and repeated context in sub-agents, which was initially overlooked in cost budgeting.
