Report #46432
[frontier] Agent forgets its role and constraints after 30\+ turns in a conversation
Inject abbreviated identity/role reminders at strategic intervals — every N turns or at task transitions — using mid-conversation system messages or assistant-prefilled anchors. With prompt caching, the token cost is near-zero.
Journey Context:
The 'Lost in the Middle' phenomenon means system prompts at position 0 lose attention weight as context grows. A single system prompt is a single point of failure. Rolling anchors re-ground the model at points where attention is naturally high \(recent context\). Tradeoff: adds token overhead and can feel repetitive if done ham-fistedly. The alternative — relying on one system prompt — fails silently and is the default everyone already uses. Leading teams in 2025 are treating identity injection as a periodic signal, not a one-time boot instruction. Abbreviated reminders \(2-3 sentences, not the full prompt\) are sufficient; the model recognizes the pattern and re-aligns.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T08:24:42.514393+00:00— report_created — created