claude-code-opentelemetry-setup
🥈SilverAutomate OpenTelemetry setup for Claude Code to monitor AI usage. Track costs, token usage, and cache efficiency with Prometheus, Loki, and Grafana dashboards. Ideal for operations teams managing AI workloads.
9950Updated 1w ago
Intermediate30min to implementautomation
Saves ~45 min per use
Quick InstallView Source
git clone https://github.com/centminmod/claude-code-opentelemetry-setup.gitWorks with:
Claude
Overview
About This Skill
Automate OpenTelemetry setup for Claude Code to monitor AI usage. Track costs, token usage, and cache efficiency with Prometheus, Loki, and Grafana dashboards. Ideal for operations teams managing AI workloads.
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/centminmod/claude-code-opentelemetry-setupRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Set up OpenTelemetry for Claude Code to monitor AI usage. Configure tracking for [METRICS] like costs, token usage, and cache efficiency. Integrate with [TOOLS] such as Prometheus, Loki, and Grafana. Provide step-by-step instructions for deployment and dashboard setup.
Example Output
To set up OpenTelemetry for Claude Code, follow these steps: 1. **Install OpenTelemetry Collector**: Download and install the OpenTelemetry Collector from the official repository. Ensure it is compatible with your operating system. 2. **Configure OpenTelemetry**: Edit the configuration file to include the necessary exporters for Prometheus, Loki, and Grafana. Specify the metrics you want to track, such as costs, token usage, and cache efficiency. 3. **Deploy the Collector**: Start the OpenTelemetry Collector with the configured settings. Verify that it is running correctly by checking the logs. 4. **Set Up Dashboards**: Use Grafana to create dashboards that visualize the data collected by OpenTelemetry. Import pre-built dashboards or create custom ones tailored to your needs. 5. **Monitor and Optimize**: Regularly review the dashboards to monitor AI usage. Use the insights to optimize performance and reduce costs. By following these steps, you can effectively track and manage your AI workloads with OpenTelemetry.
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