zeenie-ai Vertex Agent Admin Skill
Lifecycle management for custom managed agents on the Gemini Enterprise Agent Platform (Agents API). A custom agent is the prebuilt Antigravity agent plus your own system instruction and a chosen set of built-in cloud tools.
Node: Vertex Agent Admin
Operations
| Operation | Purpose | Key fields |
|---|---|---|
create |
Create a custom agent (long-running: ~2-3 min the first time, seconds after) | agent_id, description, system_instruction, base_agent, tools |
list |
List custom agents in the project | — |
get |
Inspect one agent's config | agent_id |
delete |
Delete a custom agent (destructive, irreversible) | agent_id |
Fields
agent_id— 1-63 chars, lowercase letters / numbers / hyphens, must start with a letter. Example:research-assistant-v1.tools— built-in cloud tools the agent may use:code_execution,filesystem,google_search,url_context.project_id— GCP project (auth via gcloud Application Default Credentials). Leave empty to use a storedAIzaGemini API key.
Response
create / get return the agent config under agent; list returns
agents + count; delete returns deleted: true.
Using a custom agent
After create, put the agent_id into a Vertex Agent node's
agent parameter — the interaction node runs it with the same memory
continuity and tool bridging as the prebuilt agent. Deleting an agent
does not delete past interactions or sandboxes (those expire on their
own 7-day TTL).