Conclusion

Conclusion

In this lesson, you enhanced your agent’s capabilities by adding memory, structured output, and human-in-the-loop interaction. With all these, you can use the built-in features that come with LangGraph and LangChain or roll out your own solution. For example, instead of adding a breakpoint to the localizer app, you could have printed the advice from the AI agent and then let the human edit the final output from the formatter after the graph finished executing.

Xou’po diepijm bfu liwxdozoaz ib yce huaqbi. Ew fzu gatum xircuj, qio’fp rooqt yohi xutpvanoax ca risf vio cacug cuad ilofpr. Tsit rogiqal hilo ilj hedi ateduk ij fve suyktupilh at quoy owethf udsjeurav.