> ## Documentation Index > Fetch the complete documentation index at: https://praison.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Doom Loop Detector • AI Agent SDK > DoomLoopDetector: Detects and prevents doom loops in agent execution. # DoomLoopDetector > Defined in the [**Doom Loop**](../modules/doom_loop) module. AI Agent Detects and prevents doom loops in agent execution. Monitors action history for patterns that indicate stuck states: * Repeated identical actions * Repeated similar actions * Consecutive failures * No meaningful progress ## Constructor No description available. ## Methods Start a new detection session. Record an action for loop detection. Record model response text for content streaming loop detection. Mark meaningful progress. Check if current state indicates a doom loop. Get the type of doom loop detected. Get the current loop event if one exists. Get recommended recovery action. Apply backoff delay and return the delay used. Reset backoff to initial value. Increment recovery attempt counter. Get detection statistics. ## Usage ```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}} detector = DoomLoopDetector() # Record actions detector.record_action("read_file", {"path": "foo.py"}, "content", True) detector.record_action("read_file", {"path": "foo.py"}, "content", True) # Check for loops if detector.is_doom_loop(): event = detector.get_loop_event() recovery = detector.get_recovery_action() ``` ## Source `praisonaiagents/escalation/doom_loop.py` at line 90