Feature Request: Seamless Firebase Studio to Vertex AI Agent Engine DeploymentHigh-Level Goal: To empower non developers, especially those with limited coding experience, to build, customize, and deploy sophisticated AI agents by creating a seamless, low-code integration between Firebase Studio and the Vertex AI Agent Engine with use of Google ADK.The Vision: The "Why"The future of productivity lies in specialized AI agents that can automate tasks and provide intelligent assistance. Platforms like Google AgentSpace and the upcoming Google Workspace Gemini Apps will be the ecosystems where these agents live.However, there is currently a gap between the easy-to-use prototyping environment of Firebase Studio and the powerful, production-grade deployment environment of Vertex AI Agent Engine. Bridging this gap will democratize AI agent development. It will enable a much broader audience of creators—including business analysts, designers, and citizen developers—to bring their ideas to life without getting stuck on complex infrastructure and deployment hurdles.By simplifying this workflow, Firebase Studio can become the definitive starting point for creating agents destined for Google's entire agent ecosystem.The Proposal: The "How"I propose enhancing Firebase Studio with the following integrated features, creating a guided, end-to-end experience for agent development and deployment.1. Native Google ADK (Agent Development Kit) Starting Templates:What: Offer a gallery of pre-built agent templates within Firebase Studio based on the Google ADK. These could range from a simple "Q&A Bot" to a more complex "Research Assistant."Why: This gives users a solid, best-practice foundation to build upon, removing the need to start from a blank slate and understand the ADK's boilerplate code.2. Integrated "Toolbox" for Agent Capabilities:What: A simple, visual interface or "toolbox" within Firebase Studio to add tools to an agent. This would include:Google Search: A one-click integration to give the agent the ability to search the web for real-time information.Database Connectors (Your "MCP Toolbox"): Simplified connectors for common databases (like Cloud SQL, Firestore, BigQuery, and even common external databases). The user would provide credentials and connection details through a simple form, and Firebase Studio would handle the code for connecting the agent to that data source.Why: Abstracting away the complexity of API calls and database clients.3. Simplified Vertex AI RAG Configuration:What: An intuitive, guided workflow for setting up Retrieval-Augmented Generation (RAG). A user could simply point to a Google Drive folder, a Cloud Storage bucket, or a website, and Firebase Studio would manage the process of indexing that content and making it available to the agent for contextually relevant answers.Why: RAG is incredibly powerful but setting up vector embeddings and data pipelines is a major hurdle for non-specialists. Automating this makes grounding agents in specific knowledge accessible to everyone.4. One-Click "Deploy to Vertex AI Agent Engine" Button:What: The cornerstone of this request. A button in the Firebase Studio interface that automates the process of packaging the agent, configuring the necessary resources, and deploying it as a scalable, secure endpoint on the Vertex AI Agent Engine.Why: This is the "magic step" that removes the most significant barrier for low-code developers. It transforms agent deployment from a complex DevOps task into a simple, final step in the creative process.Summary of BenefitsAccelerates Innovation: Drastically reduces the time and expertise needed to go from an idea to a deployed AI agent.Drives Adoption: Encourages wider adoption of Google's entire AI stack (Firebase Studio, ADK, Vertex AI).Populates the Ecosystem: Creates a pipeline of high-quality, specialized agents ready for Google AgentSpace and Workspace, creating a vibrant and useful ecosystem for all users.Empowers a New Class of Creators: Unlocks the potential of non-traditional developers to build and contribute valuable AI solutions.