| name | A2UI Cloud Run Deployer |
| description | Deploys an A2UI ADK agent cleanly to Google Cloud Run in namespaced A2A-compatibility mode. |
A2UI Cloud Run Deployer Skill
This skill automates clean container packaging, compilation (via Cloud Build), and namespaced A2A deployments of A2UI agents to Google Cloud Run.
Instructions
When this skill is triggered, you must execute the following steps in sequence:
Step 1: Input Collection & Verification
Ask the user for the following deployment variables:
GCP_PROJECT_ID: The Google Cloud Project ID.GCP_REGION: The deployment region (defaults to us-central1 if empty).AGENT_DIR: The path to the target agent folder in the workspace.SERVICE_NAME: The Cloud Run service name (defaults to the agent folder name).
Step 2: Clean Staging & Deployment Execution
Run the helper deployment script located in this skill's scripts directory:
python3 .agents/skills/a2ui_cloud_run_deployer/scripts/deploy_a2ui.py \
--project <GCP_PROJECT_ID> \
--region <GCP_REGION> \
--agent_dir <AGENT_DIR> \
--service_name <SERVICE_NAME>
Step 3: Verify the Deployment
Once the deployment script outputs success:
- Retrieve Agent Card: Query the Agent Card URL via
curl to verify availability:
curl -s https://<service-url>/a2a/<agent_name>/.well-known/agent-card.json
- Verify Agent Execution: Send a basic JSON-RPC 2.0 test message to ensure the agent is responsive:
curl -X POST \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "method": "message/send", "params": {"message": {"role": "user", "parts": [{"text": "Hello"}], "messageId": "test-msg-id", "contextId": "test-session-id"}}, "id": 1}' \
https://<service-url>/a2a/<agent_name>
Step 4: Display Output Endpoints
Print a clean summary displaying the final endpoints:
- Service URL:
https://<service-url>
- Namespaced A2A RPC URL:
https://<service-url>/a2a/<agent_name>
- Agent Card Endpoint:
https://<service-url>/a2a/<agent_name>/.well-known/agent-card.json
