Tackling Context Bloat in Data Agents
Shaktiman_dad · reddit · 2026-07-11
Developers are hitting a bottleneck with conversation context management when building data Agents. Currently, they only pass the user's question, utilized tools, and the final answer to the model. However, because data outputs like tables from tools are massive, the context bloats easily after multi-turn conversations. A single interaction can consume up to 1 million tokens. The author is asking the community for advice on how to more efficiently process and compress context for data-heavy Agents.
Related event: Developers Debate Context Bloat in Data Agents(2 posts)→
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