Integrate Google's IMA DAI SDK for dynamic ad insertion into web, mobile, and TV video players. The skill guides setup and stream requests for live or on-demand HLS and DASH content configured in Google Ad Manager.
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Integrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps. Use when: - A video player needs to load and play HLS or DASH streams in web apps, Android apps, iOS apps, tvOS apps, Cast (CAF) receivers, or Roku channels. - The app needs to make use of a Google DAI livestream event asset key, or content source CMS ID, video ID for video on demand. Don't use this skill to load and play a VAST or VMAP URL.
安装前可以查看交给 AI 代理的指令内容。
Use the IMA DAI SDK to load HLS or DASH streams into the app for:
Review the platform-specific integration guides for the target platforms:
Web/HTML5/ReactJs/NodeJs/Angular: Read
StreamManager guide for loading
stream URL from Google full-service DAI into <video> element.
ChromeCast: Read StreamManager guide for integrating the IMA DAI SDK into a ChromeCast Web Receiver.
Android: Read ImaServerSideAdInsertionMediaSource guide for integrating Media3 Exoplayer IMA extension.
iOS/tvOS: Read
IMAStreamRequest guide for
playing streams with AVPlayer.
Roku: Read StreamManager guide for implementing DAI on Roku SceneGraph.
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Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.
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Deploy Model Garden models to Agent Platform endpoints, the addresses used for model requests. Check supported hardware and estimated hourly costs, inspect deployment progress, test predictions, and remove deployed resources after use.
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Manages Agent Platform endpoints, the stable URLs used to serve online model predictions. It supports listing, inspecting, creating, updating, and deleting endpoints, plus troubleshooting permission errors, quota limits, and resources that are busy.
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Evaluate AI models and agents on Google Cloud using test datasets and scoring criteria. Generate simulated user scenarios, analyze failures, and compare results across changes to guide improvements to prompts and code.
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Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.
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Guides migration from Google AI Studio’s Gemini API to Gemini Enterprise Agent Platform on Google Cloud, covering billing, access permissions, authentication, and connection settings for SDKs and supported agent tools.
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