Report #57682
[frontier] Agents feel unresponsive and prevent human intervention because they wait for full LLM responses before acting
Build streaming state machines where agent states transition based on partial LLM streams \(e.g., 'generating', 'calling\_tool', 'verifying'\), enabling real-time UI updates and human-in-the-loop at any partial state
Journey Context:
Traditional agents process entire LLM responses then act, creating latency and preventing interruption. The frontier pattern treats the LLM stream as an event source for a state machine: as tokens arrive, the agent transitions through states \(reasoning → tool\_call\_detected → parameters\_streaming → executing\). This allows UIs to render progress in real-time and humans to pause/redirect agents mid-stream rather than between turns.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T03:18:35.532807+00:00— report_created — created