ai-agent

Monitor LLM with relay-pulse

Founders get real-time service status tracking. Backed by 1.0k+ GitHub stars.

From the repo · “企业级 LLM 中转服务可用性监控系统,实时追踪服务状态并提供可视化仪表板。”

intermediate⏱ 1-2 hours💵 Free (self-hosted)
1,106 stars+1★ this week94 forksGoGuide quality 8/10 · reviewed Jul 1Updated 10/19/2026100% free · open source
What it is

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.

Real use case example

"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."

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When to use it
  • •When you need to track the status of multiple LLM services in real-time
  • •When you require a visual representation of service availability for easier monitoring
  • •When you want to ensure high uptime and reliability for your LLM-backed applications
Ready-to-paste prompt
Run 'curl http://localhost:8080/api/services' to retrieve the status of all monitored services
Heads up: Make sure you have Go 1.17 or later installed, as the project uses Go modules and may not be compatible with earlier versions
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/relay-pulse && curl -fsSL https://workflowstacks.com/api/skills/relay-pulse/claude-skill -o ~/.claude/skills/relay-pulse/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Monitor LLM with relay-pulse works
Codeflow
Free to inspect

Monitor LLM with relay-pulse is a very large Go project (~98k lines across 419 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~98k lines · 419 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go · Docker
Needs API keys (.env)
Go 67%TypeScript 30%Shell 1%Python 1%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    cmd/server/main.go
    Where the program starts running
  4. 4
    go.mod
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
internal/Core code — the actual logic204 files
frontend/Frontend / UI199 files
cmd/Command-line entry points4 files
templates/Templates48 files
docs/Documentation10 files
notifier/Folder30 files
archive/Archived / older material19 files
scripts/Helper scripts15 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
prehisle
Language
Go
Category
ai-agent
Published
11/20/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/relay-pulse.svg)](https://workflowstacks.com/skills/relay-pulse?utm_source=github&utm_medium=badge)
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