Context Degradation Patterns

Language models exhibit predictable degradation patterns as context length increases. Understanding these patterns is essential for diagnosing failures and designing resilient systems.

When to Activate

• Agent performance degrades unexpectedly during long conversations
• Debugging cases where agents produce incorrect outputs
• Designing systems that must handle large contexts reliably
• Investigating "lost in middle" phenomena

Core Degradation Patterns

Lost-in-Middle Phenomenon

Models demonstrate U-shaped attention curves. Information at the beginning and end receives reliable attention; middle content suffers 10-40% lower recall accuracy.