Agent Platform Endpoint Management

---
name: agent-platform-endpoint-management
description: >-
source: google/skills
tags: [gcp, agent-platform, google-cloud, ai-platform]
metadata: 
hermes: 

metadata:
  hermes:
    tags: [gcp, agent-platform, google-cloud, ai-platform]
---

**Trigger**: Use when managing Endpoint Management on Google Cloud's Agent Platform — Google Cloud AI and agent infrastructure.

# Agent Platform Endpoint Management

## Overview

This skill provides procedural knowledge for managing Agent Platform Endpoints.
Endpoints are logical serving hosts that provide a stable URL for online
predictions. You must create an endpoint before you can deploy a model to it.

## Safety & Confirmation Tiers (CRITICAL)

Before executing any commands on behalf of the user, you MUST adhere to the
following safety tiers based on the action requested:

1.  **Tier R: Read-only (`list`, `describe`, `get`)**
    *   No confirmation needed. Execute immediately to gather information.
2.  **Tier M: Mutating & Reversible (`create`, `update`)**
    *   Requires **interactive confirmation** with 'Yes'/'No' options. The
        confirmation prompt MUST contain the exact, literal command string
        with all required flags (e.g. `--region=us-central1`,
        `--display-name="..."`) — natural-language paraphrases are NOT
        sufficient.
    *   **Same-turn restriction**: NEVER execute the command in the same turn
        as presenting the confirmation prompt. Stop and wait for the user's
        reply; only execute after explicit 'Yes' / approval.
3.  **Tier D: Destructive & Irreversible (`delete`)**
    *   Requires **explicit typed confirmation** (e.g. "I confirm" or "Yes,
        delete it"). Ask for confirmation IMMEDIATELY — before any pre-flight
        checks (don't `describe` first, don't check if the endpoint is empty
        first).
    *   **Same-turn restriction**: NEVER execute in the same turn as asking
        for typed confirmation. Wait for the user to reply in a new turn.

## Phase 0: Environment Setup

**CRITICAL**: Before running any commands, you MUST ensure the environment is
correctly initialized by following these steps:

1.  **Google Cloud Authentication**: Authenticate with your Google Cloud
    credentials and configure active Application Default Credentials (ADC) for
    Agent Platform access:
    
    ```bash
    gcloud auth login
    gcloud auth application-default login
    ```
2.  **Set Project**: Configure the active project for subsequent commands:
    
    ```bash
    gcloud config set project $PROJECT_ID
    ```
3.  **Region**: Always specify `--region=$LOCATION_ID` on each command below.
    Do NOT use `global`. Ask the user to specify the region if not provided.

## 1. Listing Endpoints (Tier R)

Use this command to discover existing endpoints in a specific region and
retrieve their IDs. No confirmation is required.

```bash
gcloud ai endpoints list \
    --region=$LOCATION_ID
```

> [!IMPORTANT] Always specify the `--region`. Do NOT use 'global'. Ask the user
> to specify if not provided.

## 2. Describing an Endpoint (Tier R)

Retrieve the full metadata for a specific endpoint. No confirmation is required.

```bash
gcloud ai endpoints describe $ENDPOINT_ID \
    --region=$LOCATION_ID
```

## 3. Creating an Endpoint (Tier M)

Create a new endpoint resource. The parent resource is the location.
**Action requires an inline confirmation card before proceeding.**

```bash
gcloud ai endpoints create \
    --region=$LOCATION_ID \
    --display-name="my-endpoint"
```

> [!IMPORTANT]
> **You MUST seek interactive confirmation first.** Your confirmation prompt
> **MUST** show the literal command string. For example:
>
> ```bash
> gcloud ai endpoints create --region=$LOCATION_ID --display-name="my-endpoint"
> ```
>
> Or the exact flags. Do not execute this command in the same turn as proposing
> the confirmation.

## 4. Updating an Endpoint (Tier M)

Update endpoint metadata such as display name or labels.
**Action requires an inline confirmation card before proceeding.**

```bash
gcloud ai endpoints update $ENDPOINT_ID \
    --region=$LOCATION_ID \
    --display-name="new-display-name"
```

Check if the endpoint exists first by either listing or describing
the endpoint.

> [!IMPORTANT]
> **You MUST seek interactive confirmation first.** Your confirmation prompt
> **MUST** show the literal command string. For example:
>
> ```bash
> gcloud ai endpoints update $ENDPOINT_ID --region=$LOCATION_ID --display-name="new-display-name"
> ```
>
> Or the exact flags.
> **CRITICAL:** You are strictly prohibited from executing this command in the
> same turn as asking for confirmation. When you ask for confirmation, you MUST
> stop immediately and wait for the user to reply.

## 5. Deleting an Endpoint (Tier D)

Permanently delete an endpoint resource.
**Action requires explicit typed confirmation before proceeding.**

```bash
gcloud ai endpoints delete $ENDPOINT_ID \
    --region=$LOCATION_ID
```

> [!WARNING] All models must be **undeployed** from the endpoint before it can
> be deleted. Do not run `describe` until AFTER you have received typed
> confirmation to delete.

## 6. Traffic Splitting (Tier M)

You can manage traffic split between different models deployed on the same
endpoint during an update.
**Action requires an inline confirmation card before proceeding.**

```bash
# Example: Deploying a model with a specific traffic split is usually done
# via 'gcloud ai endpoints deploy-model'.
```

Refer to the `agent-platform-deploy` skill for instructions on deploying and
undeploying models.

## Troubleshooting

-   **403 Permission Denied**: Ensure `aiplatform.admin` or `owner` role is
    assigned.
-   **Quota Exceeded**: Verify the region's endpoint quota in the Cloud Console.
-   **Resource Busy**: If a deletion fails, check if models are still being
    undeployed.