Reflection Loop
A self-correction mechanism in AI agent engineering that requires an agent, after a failed execution, to reread the error message, analyze the cause and revise its strategy before retrying, forming a closed correction loop; a maximum number of iterations must be set to prevent infinite loops.
Timeline (last 90 days)
The Reflection Loop requires the agent, after code execution fails, to read back the error message, analyze the cause of failure, modify the code itself, and re-run the tests until they pass.
The reflection loop must set a maximum number of iterations, otherwise self-repair may turn into another form of infinite loop.
The Reflection Loop corresponds to self-healing, the Human Loop to authorization, and the Guardrail to boundaries; none of the three can be omitted.
The Reflection Loop lets the agent read the traceback and self-repair after an execution error, until it passes the test.
All Facts (4)
The Reflection Loop requires the agent, after code execution fails, to read back the error message, analyze the cause of failure, modify the code itself, and re-run the tests until they pass.
50%UnverifiedThe reflection loop must set a maximum number of iterations, otherwise self-repair may turn into another form of infinite loop.
50%UnverifiedThe Reflection Loop corresponds to self-healing, the Human Loop to authorization, and the Guardrail to boundaries; none of the three can be omitted.
50%UnverifiedThe Reflection Loop lets the agent read the traceback and self-repair after an execution error, until it passes the test.
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