Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities
Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities
使用 Vertex AI、Gemini 模型和 Google Cloud 基础设施构建和部署生产就绪的生成式 AI 代理，具备 RAG、函数调用和多模态能力
Category: developer (开发工具) · Author: jeremylongshore · Version: @main · License: NOASSERTION
Tags: vertex-ai, gemini, google-cloud, agent-builder, rag, llm, deployment
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Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Start voice calls via the OpenClaw voice-call plugin.
Notion API for creating and managing pages, databases, and blocks.
Gemini CLI for one-shot Q&A, summaries, and generation.
Category:developer
Tags:vertex-ai, gemini, google-cloud, agent-builder, rag, llm, deployment