From google-agents-cli
Publishes ADK agents to Gemini Enterprise using `agents-cli publish gemini-enterprise`. Covers ADK and A2A registration modes, programmatic CI/CD usage, flag reference, auto-detection from deployment metadata, and troubleshooting.
How this skill is triggered — by the user, by Claude, or both
Slash command
/google-agents-cli:google-agents-cli-publishThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
> **Requires:** A deployed agent. For Agent Runtime, `deployment_metadata.json` (created by `agents-cli deploy`) enables auto-detection. For Cloud Run or GKE, provide the agent card URL and flags directly.
Requires: A deployed agent. For Agent Runtime,
deployment_metadata.json(created byagents-cli deploy) enables auto-detection. For Cloud Run or GKE, provide the agent card URL and flags directly.
deployment_metadata.json (Agent Runtime only) — Created automatically by agents-cli deploy; contains the agent runtime ID, deployment target, and A2A flagroles/run.servicesInvoker granted to the Discovery Engine service account (service-<PROJECT_NUMBER>@gcp-sa-discoveryengine.iam.gserviceaccount.com) on the Cloud Run service.For standard ADK agents deployed to Agent Runtime. The agent is registered directly via its reasoning engine resource name.
agents-cli publish gemini-enterprise \
--agent-runtime-id projects/123456/locations/us-east1/reasoningEngines/789 \
--gemini-enterprise-app-id projects/123456/locations/global/collections/default_collection/engines/my-app \
--display-name "My Agent" \
--description "Handles customer queries" \
--tool-description "Answers questions about products"
For agents using the Agent-to-Agent protocol. Requires an agent card URL — the command fetches the card and registers it.
# A2A on Cloud Run
agents-cli publish gemini-enterprise \
--registration-type a2a \
--agent-card-url https://my-service-abc123.us-east1.run.app/a2a/app/.well-known/agent-card.json \
--gemini-enterprise-app-id projects/123456/locations/global/collections/default_collection/engines/my-app \
--display-name "My A2A Agent"
# A2A on Agent Runtime (card URL is auto-constructed from metadata)
agents-cli publish gemini-enterprise \
--registration-type a2a \
--gemini-enterprise-app-id projects/123456/locations/global/collections/default_collection/engines/my-app
The command is non-interactive by default — pass all required values via flags or environment variables. This makes it safe for CI/CD pipelines.
agents-cli publish gemini-enterprise \
--agent-runtime-id "$AGENT_RUNTIME_ID" \
--gemini-enterprise-app-id "$GEMINI_ENTERPRISE_APP_ID" \
--display-name "Production Agent" \
--registration-type adk
Most flags have an env var alternative (--metadata-file, --interactive, and --list do not):
export AGENT_RUNTIME_ID="projects/123456/locations/us-east1/reasoningEngines/789"
export GEMINI_ENTERPRISE_APP_ID="projects/123456/locations/global/collections/default_collection/engines/my-app"
export GEMINI_DISPLAY_NAME="Production Agent"
export GEMINI_DESCRIPTION="Handles customer queries"
agents-cli publish gemini-enterprise
--interactive)Pass --interactive (or -i) to be guided through any missing values with interactive prompts. The command will list available Gemini Enterprise apps, offer to auto-detect the agent runtime ID from metadata, and prompt for display name and description.
agents-cli publish gemini-enterprise --interactive
| Flag | Env Var | Description |
|---|---|---|
--agent-runtime-id | AGENT_RUNTIME_ID | Agent Runtime resource name (auto-detected from deployment_metadata.json) |
--gemini-enterprise-app-id | ID or GEMINI_ENTERPRISE_APP_ID | Gemini Enterprise app full resource name |
--display-name | GEMINI_DISPLAY_NAME | Display name in Gemini Enterprise |
--description | GEMINI_DESCRIPTION | Agent description |
--tool-description | GEMINI_TOOL_DESCRIPTION | Tool description (ADK mode only, defaults to description) |
--registration-type | REGISTRATION_TYPE | adk or a2a (auto-detected from metadata if not set) |
--agent-card-url | AGENT_CARD_URL | Agent card URL for A2A registration |
--deployment-target | DEPLOYMENT_TARGET | agent_runtime, cloud_run, or gke (affects A2A auth method) |
--project-id | GOOGLE_CLOUD_PROJECT | GCP project ID for billing |
--project-number | PROJECT_NUMBER | GCP project number (used for Gemini Enterprise lookup) |
--authorization-id | GEMINI_AUTHORIZATION_ID | OAuth authorization resource name |
--metadata-file | — | Path to deployment metadata (default: deployment_metadata.json) |
--interactive / -i | — | Enable interactive prompts |
--list | — | List Gemini Enterprise apps in the current project and exit |
When deployment_metadata.json exists, the command automatically:
remote_agent_runtime_id)is_a2a flag)This means that for the simplest case (ADK agent on Agent Runtime), you only need to provide the Gemini Enterprise app ID:
agents-cli publish gemini-enterprise \
--gemini-enterprise-app-id projects/123456/locations/global/collections/default_collection/engines/my-app
Agent Runtime deployments may encounter "Session not found" errors with google-cloud-aiplatform versions <= 1.128.0. In interactive mode (--interactive), the command checks the SDK version from uv.lock and offers to upgrade. In programmatic mode, ensure your SDK is up to date before registering.
| Issue | Solution |
|---|---|
| "Session not found" after registration | SDK version issue — upgrade google-cloud-aiplatform (see SDK Compatibility above), redeploy, then re-register |
--registration-type is required | Non-interactive mode needs --registration-type when no deployment_metadata.json exists |
| "Gemini Enterprise App ID is required" | Provide --gemini-enterprise-app-id or set the ID / GEMINI_ENTERPRISE_APP_ID env var |
| Re-publishing the same agent | Registration is idempotent — re-running updates the existing registration in place instead of creating a duplicate |
| HTTP 403 on registration | Check that your account has Discovery Engine Editor permissions on the Gemini Enterprise project |
| "Could not fetch agent card" | Verify the agent is running and the URL is correct; for Cloud Run, ensure gcloud auth login is done |
/google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows/google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules/google-agents-cli-scaffold — Project creation and enhancement with agents-cli scaffold create / scaffold enhancenpx claudepluginhub google/agents-cliDeploys ADK agents to Agent Runtime, Cloud Run, or GKE. Covers CI/CD, secrets, service accounts, rollback, and production infrastructure.
Deploys and orchestrates Vertex AI ADK agents using A2A protocol, managing AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank for production multi-agent systems.
Recommends ADK architectures, tool contracts, scaffolds, and deployment plans for production agents on Google Cloud Vertex AI Agent Engine.