| name | gcp-agent-shadow-deployer |
| description | Implements the "Dark Canary" pattern for Cloud Run, allowing agents to be evaluated in production without serving user traffic. |
gcp-agent-shadow-deployer
This skill helps you implement safe, automated rollouts for your AI agents. Based on the "Evaluating Agent Performance" codelab, it uses Cloud Run revision tagging to deploy a Shadow Revision for evaluation before promoting it to live traffic. This enables System-Level Evaluation (latency, network, auth) rather than just unit testing.
Usage
Ask Antigravity to:
- "Deploy a shadow revision of my agent for evaluation"
- "Tag my new Cloud Run revision with the Git SHA"
- "Promote my shadow revision to 100% traffic"
Shadow Pattern ("Dark Canary")
- Tag with Commit Hash: Every deployment is tagged with the current Git commit hash (e.g.,
c-a1b2c3d).
- --no-traffic: The revision is deployed with 0% traffic.
- Shadow URL: Access the revision via a dedicated tag URL:
https://[TAG]---[SERVICE]-[HASH]-[REGION].a.run.app.
- Promotion: If evaluation metrics (Final Response Match, Tool Use Quality) pass, promote the revision to 100% traffic.
Shell Template
Refer to scripts/deploy_shadow.sh for the standard implementation.
