Core Problem:
The Web UI (Gemini interface) becomes significantly laggy and resource-intensive when the conversation history grows large (high token count). Rendering the entire message thread in the DOM causes high CPU/RAM usage.
Proposed Solution:
Implement Incremental Context Summarization.
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When a certain token threshold is reached, the model should automatically generate a concise “State Summary” of the previous context (key technical facts, entities, and progress).
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The UI should then “purge” the old raw message logs from the browser’s active memory (DOM), replacing them with this single “Summary Block.”
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This summary is then prepended to subsequent prompts as a system instruction to maintain continuity.
Benefits:
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Drastically improves browser performance for long technical sessions.
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Prevents UI crashes and input lag.
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Efficiently manages the Context Window without losing critical information.
P.S. This proposal was formulated and translated during a long technical session with Gemini. It’s a real-world example of why such optimization is needed!