See what your Genkit AI app is doing in production. Right from your terminal.

A full terminal dashboard that pulls real-time metrics, traces, and span I/O from Google Cloud for your Genkit apps. No browser needed. No port forwarding. Just run it.

You deployed your Genkit app. It's running on Cloud Run (or GKE, or wherever). You want to know:

• How many requests is each feature handling?
• What's the success rate? Any failures spiking?
• How fast are responses? What's the p95 latency?
• How many tokens are you burning through?
• What did the LLM actually say? What was the input? The output?

Get all of that in one place with a single command:

npx genkit-gcp-goggles --project my-project

• Overview dashboard with request charts, success rates, latency, and token counts across all your Genkit features
• Feature drill-down with time-series charts for requests, latency (p50/p95), tokens, and success rate
• Trace list with pagination, status indicators, duration, and model names
• Trace viewer with a collapsible span tree and full span detail panel
• On-demand I/O loading from Cloud Logging (press i to fetch full input/output for any span)
• Keyboard-driven with vim-style navigation (j/k), drill-in/out, time range picker
• Smart caching with LRU cache and TTLs so you're not hammering APIs
• Retry with backoff for rate-limited API calls (429s)
• Helpful error messages with specific instructions for auth, permissions, and setup issues

• Node.js 18+
• Google Cloud SDK (gcloud) installed
• A GCP project with a Genkit app sending telemetry

gcloud auth application-default login

npx genkit-gcp-goggles --project YOUR_PROJECT_ID

Or install globally:

npm install -g genkit-gcp-goggles
genkit-gcp-goggles -p my-project -r 7d

$ genkit-gcp-goggles [options]

Options
  --project, -p    GCP project ID (defaults to gcloud default project)
  --range, -r      Time range: 1h, 6h, 24h, 7d, 30d (default: 24h)
  --help           Show help
  --version        Show version

For genkit-gcp-goggles to show data, your Genkit app needs to send telemetry to Google Cloud. Install the @genkit-ai/google-cloud plugin:

npm install @genkit-ai/google-cloud

Then enable it in your Genkit app's entry point:

import { enableGoogleCloudTelemetry } from '@genkit-ai/google-cloud';

enableGoogleCloudTelemetry();

This exports metrics to Cloud Monitoring, traces to Cloud Trace, and I/O logs to Cloud Logging when running on GCP (Cloud Run, GKE, etc.).

By default, telemetry is only exported in production. To export telemetry when running locally (so you can test with genkit-gcp-goggles), use the forceDevExport option:

enableGoogleCloudTelemetry({
  forceDevExport: true, // export telemetry even in dev mode
});

enableGoogleCloudTelemetry({
  projectId: 'my-project',             // override auto-detected project
  forceDevExport: true,                 // export in dev mode
  disableLoggingInputAndOutput: true,   // skip logging I/O (for privacy)
  disableMetrics: true,                 // skip metrics export
  disableTraces: true,                  // skip trace export
});

See the Genkit Google Cloud plugin docs for the full list of configuration options.

Your authenticated account needs these read-only IAM roles on the project:

• roles/monitoring.viewer - for Cloud Monitoring metrics
• roles/cloudtrace.user - for Cloud Trace spans
• roles/logging.viewer - for Cloud Logging I/O data

No backend server needed. The CLI runs entirely in your terminal and calls Google Cloud APIs directly using your Application Default Credentials (ADC). It reads from three APIs:

• Cloud Monitoring v3 for feature-level metrics (request counts, latency, token usage)
• Cloud Trace v1 for distributed traces and span trees
• Cloud Logging v2 for full span input/output data (loaded on-demand)

All access is read-only. Responses are cached in-memory with an LRU cache to keep things fast and avoid unnecessary API calls.

git clone https://github.com/pavelgj/genkit-gcp-goggles.git
cd genkit-gcp-goggles
pnpm install
pnpm start -- --project YOUR_PROJECT_ID

Apache-2.0