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Summary

Show an end-to-end journey through AgentKit, to help customers understand how they can use the AgentKit building blocks to deploy and optimize workflows faster and more easily

Motivation

Why are these changes necessary? How do they improve the cookbook?


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@minh-hoque minh-hoque left a comment

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LGTM!

@minh-hoque
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two minor comments:

To actually use the custom widget we've designed in our chat app, we need to instruct our workflow to return the widget component as part of our recommendation agent's response. So we'll go back to the Course recommendations agent, select Output format of Widget, and upload the .widget file.

Would be useful to show what this looks like (I'm not sure, maybe it is obvious)

Now, here's where the magic happens: we can click Optimize to automatically rewrite our prompt based on the feedback we've provided - both the model grader output and the human-provided feedback.

Where is this button located or does it automatically happen after grading?

@nikhils-oai nikhils-oai merged commit 658e0b2 into main Oct 20, 2025
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@nikhils-oai nikhils-oai deleted the nikhils/agentkit-walkthrough branch October 20, 2025 15:53
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2 participants