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Context Window Management UI(CWM)
Visual patterns for managing LLM context limits, token usage, and context window optimization in agent interfaces
In 30 seconds
- What
- Displays token usage, lets users pin important messages, and automatically summarizes old context to stay within LLM limits.
- When to use
- Long conversations where context window fills up and you need users to decide what to keep versus discard.
- Watch out
- Users often misjudge what information the agent actually needs, leading to pruned context that breaks downstream reasoning.
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Context Window Management UI: Overview
Visual patterns for managing LLM context limits, token usage, and context window optimization in agent interfaces
- Context usage meters with visual token consumption tracking
- Priority indicators for context retention decisions
- Context compression controls with user preferences
- Memory summarization interfaces and context pruning
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References
The papers, specifications, and repositories this pattern is based on.
- Attention Is All You Need - Transformer Context Limits (Vaswani et al., 2017)arXiv:1706.03762
- CHI 2024: Context Management in Conversational AI Interfaces
- Longformer: The Long-Document Transformer (Beltagy et al., 2020)arXiv:2004.05150
- Memory-Efficient Transformers via Top-k Attention (Rabe & Staats, 2021)arXiv:2106.06899
- Anthropic Claude Context Window Optimization
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