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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis page provides a Python code sample for interacting with the Vertex AI Agent Builder API, specifically for retrieving engine details.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication for the Vertex AI Agent Builder API requires setting up Application Default Credentials, as detailed in the provided link.\u003c/p\u003e\n"],["\u003cp\u003eThe code sample utilizes the \u003ccode\u003ediscoveryengine\u003c/code\u003e library from the \u003ccode\u003egoogle-cloud\u003c/code\u003e package and demonstrates how to create a client and use it to retrieve an engine resource.\u003c/p\u003e\n"],["\u003cp\u003eThe sample is set up to function with different locations, supporting both global and regional Vertex AI Agent Builder deployments, determined by providing specific locations in the \u003ccode\u003eClientOptions\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThere is a link to a sample browser where you can search and filter for other code samples for other Google Cloud products.\u003c/p\u003e\n"]]],[],null,[]]