Use relay-pulse to monitor the availability of your large language model services and get real-time updates on their status with a visual dashboard.
Automations that alert you when a service goes down or comes back online.
relay-pulse keeps you informed about your LLM services, allowing you to catch and respond to issues faster. This is especially useful if you rely on these services for your business or application.
"A founder, John, uses relay-pulse to monitor the availability of her company's internal chatbot. She sets up the service to send her a daily report on the chatbot's uptime and alerts her immediately when the service goes down. With relay-pulse, John can quickly identify and address issues before they impact her customers."
Choose relay-pulse if you're new to AI service monitoring and want an easy-to-use tool to get started.
Senior engineers and DevOps professionals will appreciate relay-pulse for its robust feature set and real-time monitoring capabilities.
Don't confuse relay-pulse with a service that generates or trains large language models; it's specifically designed for monitoring and tracking existing LLM services.
Relay-pulse is a real-time service status tracking system that provides a visualization dashboard to monitor the availability of enterprise-level LLM services.
go get github.com/prehisle/relay-pulseRun 'curl http://localhost:8080/api/services' to retrieve the status of all monitored services
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