agent-platform-endpoint-management
>-
Works with
Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: agent-platform-endpoint-management
description: >-
license: Apache-2.0
---
# 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=$LOCATION_ID
```
*(Optional)* For pagination, you MUST use `--limit=$LIMIT` to restrict the total
number of returned endpoints. You can also append `--page-size=$PAGE_SIZE` to
control API chunking, or `--page-token=$PAGE_TOKEN` for next pages.
> [!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.More General & Other skills
find-skills
vercel-labs/skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
1.5M
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
972.7k
grill-with-docs
mattpocock/skills
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
828.8k

