- Updated: March 20, 2026
- 3 min read
Building a Ready‑to‑Use Grafana Dashboard for OpenClaw Rating API Edge Token‑Bucket Observability
# Building a Ready‑to‑Use Grafana Dashboard for OpenClaw Rating API Edge Token‑Bucket Observability
**Author:** UBOS Team
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## Introduction
Developers integrating the OpenClaw Rating API Edge often need to monitor token‑bucket usage in real time. This article walks you through creating a single, ready‑to‑use Grafana dashboard that visualises the token‑bucket metrics, includes pre‑configured Prometheus alert panels, and integrates with a Slack webhook for instant notifications.
## Prerequisites
– A running **Grafana** instance (v8+ recommended).
– Access to the **Prometheus** server that scrapes OpenClaw metrics.
– The three assets we recently created:
1. **Observability Dashboard** – JSON export of the Grafana dashboard.
2. **Alert Rules** – Prometheus alert rule definitions for token‑bucket thresholds.
3. **Slack Guide** – Step‑by‑step instructions for creating a Slack incoming webhook.
– Basic familiarity with Grafana and Prometheus configuration.
## Asset Overview
– **Observability Dashboard** – located in the UBOS asset repository; it contains panels for token‑bucket fill level, refill rate, and request latency.
– **Alert Rules** – a YAML file that defines two alerts: `TokenBucketHighUsage` and `TokenBucketRefillFailure`.
– **Slack Guide** – a markdown document describing how to generate a Slack webhook URL and configure it in Grafana.
## Step‑by‑Step Setup
### 1. Import the Dashboard
1. In Grafana, go to **Dashboards → Manage → Import**.
2. Upload the **Observability Dashboard** JSON file or paste its contents.
3. Select the Prometheus data source you use for OpenClaw metrics.
4. Click **Import**. The dashboard now appears with all panels pre‑populated.
### 2. Configure the Prometheus Data Source
1. Navigate to **Configuration → Data Sources → Add data source**.
2. Choose **Prometheus**.
3. Set the URL to your Prometheus server (e.g., `http://prometheus:9090`).
4. Save & test the connection.
### 3. Set Up Alert Rules
1. Open your Prometheus server configuration (`prometheus.yml`).
2. Add the **Alert Rules** YAML under the `rule_files` section:
yaml
rule_files:
– /etc/prometheus/rules/token_bucket_alerts.yml
3. Reload Prometheus or restart the service.
4. Verify the alerts appear in the **Alerts** UI.
### 4. Configure Slack Webhook Integration
1. Follow the **Slack Guide** to create an incoming webhook URL for the channel where you want alerts.
2. In Grafana, go to **Alerting → Notification channels → New channel**.
3. Choose **Slack** as the type and paste the webhook URL.
4. Set the **Recipient** to the Slack channel name and save.
5. Edit each alert rule in the dashboard to use the newly created Slack notification channel.
### 5. Verify and Test
– Trigger a high‑usage scenario on the OpenClaw Rating API Edge (e.g., send a burst of requests).
– Confirm the dashboard panels update in real time.
– Check that the `TokenBucketHighUsage` alert fires and a message appears in Slack.
## Conclusion
You now have a fully functional Grafana dashboard that provides deep visibility into the OpenClaw Rating API Edge token‑bucket, with automated Prometheus alerts and Slack notifications. This setup reduces operational overhead and helps you react instantly to throttling events.
For more details on hosting OpenClaw, see our guide: https://ubos.tech/host-openclaw/
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*Published by the UBOS Team*