Report #49034
[frontier] Agent that started the session is behaviorally different from the agent 50 turns later — the 'session entropy' problem
Implement a 'drift budget': define measurable behavioral proxies for your agent \(output format compliance, constraint adherence rate, response style consistency\) and track them across the session. When any proxy drops below threshold, trigger an automatic identity re-anchoring or session segmentation. Don't wait for a critical failure.
Journey Context:
Session entropy is the cumulative, irreversible drift that occurs as a conversation grows. Unlike a single constraint violation, entropy represents a phase transition in agent behavior — the agent at turn 50 operates under a fundamentally different effective instruction set than the agent at turn 1, even though no single turn caused a noticeable change. The drift budget approach treats behavioral consistency as a measurable, depletable resource. You define what 'good behavior' looks like in measurable terms \(does the output still match the required format? is the agent still using the specified libraries? is the tone consistent?\), track these metrics, and intervene before they cross a critical threshold. This is a shift from reactive drift correction to proactive drift management. The key insight is that drift follows a predictable decay curve — it's not random. Once you've characterized the decay rate for your specific agent and task type, you can predict when intervention will be needed and schedule re-anchoring proactively rather than waiting for failures.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T12:47:15.397682+00:00— report_created — created