agent-platform-alert-configuration
>- Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.
Why we recommend it: Configures OpenTelemetry-based alerting policies for AI agents as Terraform, including alerts on token usage and cost metrics. It monitors token consumption rather than reducing it.
Needs (stated): Python
Inspect before use
Read the source instructions and check the requirements before you install this skill.
SKILL.md
The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.
---
name: agent-platform-alert-configuration
metadata:
category: AiAndMachineLearning
description: >-
Configures best-practice alerting policies for AI agents using OpenTelemetry
(OTel) metrics, generating output as Terraform (.tf) configuration files.
Use when analyzing, writing, or deploying alerting policies
to monitor agent latency, error rates, token usage, and quality metrics.
Don't use for standard infrastructure monitoring unrelated to AI agents,
or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts).
NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics
and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely
on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.
allowed-tools: terraform gcloud python
---
# Agent Platform Alert Configuration
## Critical Steps
### 1. Safety & Confirmation Tiers (CRITICAL)
Before executing any commands or writing configurations on behalf of the user,
you MUST adhere to the following safety tiers based on the action requested:
1. **Tier R: Read-only (`check_telemetry.py` / `gather_agent_info.py`)**
* **Rule**: No confirmation needed. You may execute these scripts
immediately to inspect telemetry status or gather agent configuration
details.
2. **Tier B: Billing & Resource Creation (`create_online_monitor.py` /
provisioning)**
* **Rule**: **Explicit User Confirmation Required**. These actions incur
additional billing charges and create cloud resources. The agent MUST
ALWAYS warn the user explicitly about the potential extra billing costs
of BOTH the Online Monitor (specifically mentioning **LLM evaluations**)
and Telemetry (specifically mentioning **Cloud Trace/Cloud Logging
export**). You MUST STOP and ask for explicit approval before proceeding
with provisioning or providing setup commands.
### 2. Prerequisites & Dependencies
#### Agent Telemetry
* **Disclaimer**: For Reliability, Cost, Safety, and Security alerts to
function, the underlying agent MUST be instrumented to emit OpenTelemetry
(OTel) metrics. If the agent does not emit these metrics, the alerting
policies will have no data stream to evaluate.
#### Python Environment
Before executing any python script in this skill you MUST install the required
dependencies in your environment. Run this command first:
```bash
pip install -r scripts/requirements.txt
```
### 3. Input Assumptions
* **Explicit Project Adherence**: You must ONLY configure alerts, query
telemetry, or interact with the Google Cloud Project(s) explicitly provided
by the user in the prompt. Do NOT assume or use other projects from your
environment or history unless the user explicitly directs you to do so.
* **Sequential File Transformations**: If the user explicitly asks to copy a
file and then modify it, you MUST perform these actions sequentially (copy
first, then modify) rather than writing the final content directly.
### 4. Execution Steps
1. **Mandatory Prerequisite Execution Protocol (SEQUENTIAL)**: Before
generating or writing ANY configuration, you MUST execute these steps in
order:
1. **Step 1: Streamlined Discovery (Mandatory)**: Run
`gather_agent_info.py` to automatically identify agent runtime, verify
telemetry, metric scopes, linked datasets, and more. This script covers
most of the manual verifications listed in subsequent steps.
* Command: `python3 scripts/gather_agent_info.py --project-id
{project_id} --agent-name {agent_name}`
* **Note**: If this script **fails**, returns **partial data**, or
doesn't produce everything you need, you MUST satisfy requirements
by running the manual fallback steps listed in Step 2 and then
perform Step 3 below. If Step 1 succeeds and provides all Read the full source on GitHub (opens external page)