Summary
AI agents frequently hit context limits or hallucinate because they process an excessive amount of unnecessary "noise" tokens, particularly from verbose outputs like raw JSON from cloud APIs. This "token tax" means users are paying for agents to "read" irrelevant data, leading to significant inefficiencies, increased operational costs, and reduced reliability for autonomous AI applications. Addressing this issue is crucial for improving agent performance and cost-effectiveness.
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