The Internal Critic
**Reflection** involves an agent reviewing its own output and identifying areas for improvement. In LangGraph, this is implemented as a loop where a "Generator" node produces content and a "Reflector" node provides feedback. The generator then uses that feedback to produce a better version.
Eliminating Errors
This pattern is extremely effective for tasks like code generation, technical writing, and data analysis. By forcing the agent to critique its own reasoning, you significantly reduce hallucinations and ensure that the final result is of the highest possible quality and accuracy.
Conclusion
Quality requires reflection. By mastering the reflection agent pattern in LangGraph, you build systems that are self-correcting and self-improving, delivering results that meet the highest standards of professional excellence.