Gcp/vertex Usage
@webframp/gcp/vertex-usagev2026.05.12.1
01README
GCP Vertex AI token usage monitoring — multi-project scanning of token_count metrics via the Cloud Monitoring API. Provides per-model breakdowns with input/output direction split and tokens-per-minute rates.
Authentication
Uses gcloud auth print-access-token (Application Default Credentials).
Requires an authenticated gcloud CLI session.
Required Permissions
monitoring.timeSeries.liston each project
Usage
swamp model create @webframp/gcp/vertex-usage vertex-usage \
--global-arg 'projects=["jw-cd-apps-ai","jw-avs-genmedia"]'
# Scan all projects
swamp model method run vertex-usage scan_projects
# Single project
swamp model method run vertex-usage get_token_usage --input project=jw-cd-apps-aiMethods
- scan_projects — Fan-out across all configured projects, per-model breakdown
- get_token_usage — Single project with model breakdown
02Models
@webframp/gcp/vertex-usagev2026.05.12.1gcp/vertex_usage.ts
fn scan_projects(days: number)
Fan-out scan across all configured GCP projects. Returns per-project token usage with model-level breakdown.
| Argument | Type | Description |
|---|---|---|
| days | number | Lookback period in days |
fn get_token_usage(project: string, days: number)
Get token usage for a single GCP project with model breakdown.
| Argument | Type | Description |
|---|---|---|
| project | string | GCP project ID |
| days | number | Lookback period in days |
Resources
scan_results(6h)— Multi-project Vertex AI token usage scan results
single_scan(6h)— Single project Vertex AI token usage scan
03Stats
A
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Downloads
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Archive size
10.8 KB
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04Platforms
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