Cloud Run
Google Cloud's serverless container runtime. Common deployment target for GenAI apps, agents, and MCP servers in this repo. · Official docs
Related concepts
- Gemini Capabilities · Prompt Engineering · Function Calling & Tools · Agents & ADK · Agent Engine · RAG & Grounding · Vertex AI Search · Vision · Evaluation · Open & Partner Models · MLOps & Deployment · Applied Use Cases
Used in 14 notebooks
Agents & ADK (1)
- Get started with Sessions and Memory Bank for ADK agents in Cloud Run — Builds an ADK weather agent with Vertex AI Sessions, Memory Bank, and Cloud Run deployment.
Gemini (5)
- Deploying an Agent with Agent Engine and MCP Toolbox for Databases — Deploys a Gemini hotel-booking agent on Agent Engine using Cloud SQL, Cloud Run Toolbox, and LangGraph.
- Semantic Router Agent — Builds a LangGraph semantic router that sends retail queries to mocked Gemini expert assistants.
- Query a Remote LangGraph Agent Server — Queries a local or Cloud Run LangGraph RemoteGraph agent and displays streamed agent outputs and state.
- Get started with Vertex Prompt Optimizer - Custom metric — Optimizes a Gemini prompt with Vertex AI Prompt Optimizer using a custom Cloud Function metric.
- Building a photo recognition agent: Agent Engine setup — Sets up and deploys a Gemini LangChain agent on Agent Engine with Wikipedia and Vertex AI Search tools.
Open Models (5)
- Serving Gemma 3 with Ollama on Cloud Run — Deploys Gemma 3 with Ollama as a private GPU-backed Cloud Run API and tests it with curl and Python.
- Running Qwen 3 with Ollama in Cloud Run for Agents — Deploys Qwen3:8b with Ollama on GPU Cloud Run and uses it as an ADK agent model.
- Serving Gemma 3 with vLLM on Cloud Run — Deploys Gemma 3 on Cloud Run with vLLM as an OpenAI-compatible chat API.
- Cloud Run GPU Inference: Gemma 2 RAG Q&A with Ollama and LangChain — Deploys Gemma 2 on Cloud Run GPU with Ollama and builds a LangChain RAG Q&A chain.
- Deploying Llama 3 on Google Kubernetes Engine with Cloud Functions and vLLM — Deploys Llama 3.2 on GKE with vLLM and exposes it through a Gen2 Cloud Function.
Vertex AI Search (3)
- MCP Server with Gemini Enterprise — Builds an MCP HR leave tool on Cloud Run, connects it to an ADK Gemini agent, and registers it with Gemini Enterprise.
- Open Source Models (Gemma) as a agent with Gemini Enterprise — Deploys Gemma on Cloud Run, wraps it with ADK, deploys to Agent Engine, and registers it in Gemini Enterprise.
- Event-based Triggering of Manual Recrawl for Vertex AI Search Advanced Website Datastores — Automates Vertex AI Search manual recrawl from JSON URL lists uploaded to Cloud Storage.
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