Google Agents Cli Publish

作者 google4b1189172dc8无许可证6K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库2天前更新

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

精选仅含说明DevOps & CloudAI & Agents
AI 生成的概览

指导使用 agents-cli publish 命令将智能体发布并注册到 Gemini Enterprise 和 Agent Registry。

功能
该技能说明如何通过 agents-cli publish gemini-enterprise 命令将已部署的智能体注册到 Gemini Enterprise。内容涵盖 ADK 与 A2A 两种注册模式、程序化与交互式用法、完整的标志与环境变量参考、基于部署元数据的自动检测、面向智能体和 MCP 服务器的 Agent Registry 队列管理,以及故障排查。它产出的是命令指导与配置说明,而非文件或脚本。
适用场景
当需要将智能体发布到 Gemini Enterprise、在 Agent Registry 中注册智能体或 MCP 服务器,或列出、更新、删除已注册智能体时使用。它不适用于部署任务,部署由单独的部署技能负责。
运行要求
需要 agents-cli 可执行文件(可通过 uv tool install google-agents-cli 安装),以及一个已部署且可访问的智能体、一个已存在的 Gemini Enterprise 应用,并具备相应权限的 Google Cloud 凭据。Agent Runtime 自动检测需要 deployment_metadata.json 文件。该技能不附带脚本。

Gemini Enterprise Registration

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.

Prerequisites

  1. Agent must be deployed — the agent must be running and reachable
  2. Gemini Enterprise app must exist — Create one in Google Cloud Console → Gemini Enterprise → Apps before registering
  3. deployment_metadata.json (Agent Runtime only) — Created automatically by agents-cli deploy; contains the agent runtime ID, deployment target, the A2A flag, and the agent directory
  4. Text-based agent — Live/voice (bidi) agents are not supported by Gemini Enterprise, which has no /run_live transport. Register a text-based agent instead.

Required Permissions for A2A on Cloud Run

  • roles/run.servicesInvoker granted to the Discovery Engine service account (service-<PROJECT_NUMBER>@gcp-sa-discoveryengine.iam.gserviceaccount.com) on the Cloud Run service.

Registration Modes

A2A Registration

Every scaffolded agent serves the Agent-to-Agent protocol. A2A is the default — and only — registration type on Cloud Run and GKE (no reasoning engine to invoke natively). It also works on Agent Runtime via --registration-type a2a. For an ADK agent there the CLI warns against it, because Gemini Enterprise can invoke Agent Runtime natively via :streamQuery — prefer ADK registration in that case. For an agent built on another framework there is no ADK app to invoke natively, so A2A is the right mode on every target and the warning is expected. Pass the agent card URL and the command fetches the card and registers it; display name and description default to the card's name/description.

bash
# A2A on Cloud Run / GKE. The card path depends on the project's language:#   Python -> /a2a/{app_name}/.well-known/agent-card.json#   Go     -> /.well-known/agent-card.jsonagents-cli publish gemini-enterprise \  --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

Pass --display-name / --description to override the card defaults. On Agent Runtime, the card URL auto-builds from deployment_metadata.json if you omit --agent-card-url.

ADK Registration (default on Agent Runtime)

ADK projects only. The agent must be deployed to Agent Runtime as an ADK app, since registration invokes it through :streamQuery. An agent on another framework registers over A2A, so deploy it to Cloud Run or GKE and publish from there.

This is the default and recommended registration for ADK agents on Agent Runtime: Gemini Enterprise invokes the agent natively via :streamQuery on its reasoning engine resource, authenticating end-to-end. Under the hood, :streamQuery dispatches to the AdkApp's streaming_agent_run_with_events method — when debugging an ADK invocation, search the runtime's reasoning_engine_stderr logs for that method name to trace the failure. It's also the path to use when the agent needs an OAuth authorization (--authorization-id). The agent is registered directly via its reasoning engine resource name; no agent card URL is needed.

bash
agents-cli publish gemini-enterprise \  --registration-type adk \  --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"

Programmatic Mode (CI/CD)

The command is non-interactive by default — pass all required values via flags or environment variables. This makes it safe for CI/CD pipelines.

Via flags

bash
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

Via environment variables

Most flags have an env var alternative (--metadata-file, --interactive, and --list do not):

bash
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 Mode (--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.

bash
agents-cli publish gemini-enterprise --interactive

Complete Flag Reference

FlagEnv VarDescription
--agent-runtime-idAGENT_RUNTIME_IDAgent Runtime resource name (auto-detected from deployment_metadata.json)
--gemini-enterprise-app-idID or GEMINI_ENTERPRISE_APP_IDGemini Enterprise app full resource name
--display-nameGEMINI_DISPLAY_NAMEDisplay name in Gemini Enterprise
--descriptionGEMINI_DESCRIPTIONAgent description
--tool-descriptionGEMINI_TOOL_DESCRIPTIONTool description (ADK mode only, defaults to description)
--registration-typeREGISTRATION_TYPEadk or a2a (defaults to adk for an ADK agent on Agent Runtime, a2a everywhere else, including any non-ADK framework)
--agent-card-urlAGENT_CARD_URLAgent card URL for A2A registration
--deployment-targetDEPLOYMENT_TARGETagent_runtime, cloud_run, or gke (sets the default registration type — ADK on Agent Runtime, A2A on Cloud Run / GKE — and the A2A auth method)
--project-idGOOGLE_CLOUD_PROJECTGCP project ID for billing
--project-numberPROJECT_NUMBERGCP project number (used for Gemini Enterprise lookup)
--authorization-idGEMINI_AUTHORIZATION_IDOAuth 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

Auto-Detection from Metadata

When deployment_metadata.json exists, the command automatically:

  • Reads the agent runtime ID (remote_agent_runtime_id)
  • Determines the registration type: defaults to ADK (native :streamQuery) on Agent Runtime, and A2A on Cloud Run / GKE (which have no reasoning engine). A project scaffolded with another framework serves no ADK app, so it defaults to A2A on every target. Override with --registration-type.
  • Determines the deployment target for authentication

This means that for the simplest case (an ADK agent on Agent Runtime, registered as ADK), you only need to provide the Gemini Enterprise app ID:

bash
agents-cli publish gemini-enterprise \  --gemini-enterprise-app-id projects/123456/locations/global/collections/default_collection/engines/my-app

Agent Registry (agents and MCP servers)

Agent Registry (Preview) is the Google Cloud fleet-wide catalog of agents and MCP servers, separate from a Gemini Enterprise app. Agents deployed to a managed runtime (Agent Runtime on Gemini Enterprise Agent Platform) are auto-registered — no extra step after agents-cli deploy. Manage them with gcloud (requires roles/agentregistry.editor):

bash
# List / inspect agentsgcloud agent-registry agents list --project PROJECT --location LOCATIONgcloud agent-registry agents describe AGENT_NAME
# Update endpoint/metadata — edit the Service resource, not the Agentgcloud agent-registry services update AGENT_NAME \  --display-name "..." --description "..." \  --interfaces "url=ENDPOINT_URL,protocolBinding=http-json"
# Register an external MCP server: not auto-introspected, so upload a# toolspec.json (its tools/list response, max 10 KB). No us/eu multi-region.gcloud agent-registry services create SERVER_NAME --location=LOCATION \  --mcp-server-spec-type=tool-spec --mcp-server-spec-content=toolspec.json \  --interfaces="url=SERVER_URL,protocolBinding=jsonrpc"  # or http-json, grpc
# Remove: delete the underlying runtime agent (auto-registered) OR, for# manually registered agents/servers, delete the Service resourcegcloud agent-registry services delete NAME

Terraform: google_agent_registry_service with an mcp_server_spec block.

Docs: https://docs.cloud.google.com/agent-registry/manage-agents · https://docs.cloud.google.com/agent-registry/register-mcp-servers


Troubleshooting

IssueSolution
"Session not found" after registrationPython projects on google-cloud-aiplatform <= 1.128.0 hit a known SDK bug — upgrade it, redeploy, then re-register
--registration-type is requiredNon-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 agentRegistration is idempotent — re-running updates the existing registration in place instead of creating a duplicate
HTTP 403 on registrationCheck that your account has Discovery Engine Editor permissions on the Gemini Enterprise project
Debugging ADK invocation failures on Agent RuntimeGemini Enterprise calls the agent via the AdkApp's streaming_agent_run_with_events method (the native :streamQuery contract). Grep the runtime's reasoning_engine_stderr logs for streaming_agent_run_with_events to find the underlying error
"Could not fetch agent card"Verify the agent is running and the URL is correct; for Cloud Run, ensure gcloud auth login is done. A Live/voice agent drops its A2A card and cannot be published — Gemini Enterprise does not support Live agents

Related Skills

  • /google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows (also covers Agent Gateway governed ingress/egress and Semantic Governance awareness)
  • /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 enhance

来源与署名

来源:google/agents-cli位于skills/google-agents-cli-publish提交4b11891

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