Report #93604
[gotcha] AI responds confidently with wrong answers when context window is silently truncated
Track cumulative token count per conversation. When approaching the context limit, warn users that earlier context may be lost. Implement a summarization step for older messages rather than silently dropping them. Display a 'context limit approaching' indicator in the UI before quality degrades.
Journey Context:
When a conversation exceeds the model's context window, most implementations silently truncate older messages to fit. The AI then responds without key earlier context—but responds confidently, as if it has the full picture. Users get subtly wrong answers with no error signal. This is especially dangerous in long coding sessions where early instructions or code context gets dropped. The AI will not say 'I don't remember what you said 20 messages ago'—it just proceeds without that information, generating plausible but contextually wrong responses. The fix requires proactive context management rather than relying on the API's implicit truncation behavior.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T15:42:07.311967+00:00— report_created — created