adk_cloud_run

A super trivial setup of the ADK (Google's Agent Development Kit), ready to be deployed to Cloud Run as a Docker container.

Setup and Deployment Instructions

Prerequisites

• Python: Download
• Git: Download
• gcloud CLI: Install

Steps

1. Claim Google CLoud OnRamp credits (if provided).
2. Go to the Google Cloud Console: console.cloud.google.com
3. Create a new Google Cloud project.
4. Authenticate and select your project:

   gcloud auth login
   gcloud projects list
   gcloud config set project PROJECT_ID

5. Clone the repository:

   git clone https://github.com/avedave/adk_cloud_run.git
   cd adk_cloud_run

6. Create and activate a virtual environment:

   python -m venv .venv
   # On macOS/Linux:
   source .venv/bin/activate
   # On Windows CMD:
   # .venv\Scripts\activate.bat
   # On Windows PowerShell:
   # .venv\Scripts\Activate.ps1

7. Install dependencies:

   pip install -r requirements.txt

8. Configure your API Key:
   • Get your Gemini API Key from Google AI Studio.
   • Copy .env.sample to a new file named .env.
   • Add your GOOGLE_API_KEY to the .env file.
9. Run the agent locally:
   • In the console:

     adk run multi_tool_agent

   • On the web:

     adk web

10. Deploy to Cloud Run:

    gcloud run deploy multi-tool-agent --source . --region europe-west1 --allow-unauthenticated --set-env-vars="GOOGLE_GENAI_USE_VERTEXAI=FALSE, GOOGLE_API_KEY="  --labels dev-tutorial=codelab-dos

Deployment documentation: https://google.github.io/adk-docs/deploy/cloud-run/#python---gcloud-cli