Code & Development · GitHub ·35 ★

OpenLLM-Monitor

OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts — fully open-source and self-hostable.

Details

Author
prajeesh-chavan
Category
Code & Development
Platform
GitHub
Framework
openai
Language
javascript
Stars
35
First indexed
2026-05-15
Last active
2025-06-26
Directory sync
2026-05-15

Overview

OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts — fully open-source and self-hostable.

Quick start

git

git clone https://github.com/prajeesh-chavan/OpenLLM-Monitor

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What OpenLLM-Monitor can do

  • Prompt — prompt task automation.
  • Router — router task automation.
  • Api — api task automation.
  • Monitor — monitor task automation.
  • Debug — debug task automation.

Frequently asked questions

What is OpenLLM-Monitor?
OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts — fully open-source and self-hostable.
How do I install OpenLLM-Monitor?
Use git: `git clone https://github.com/prajeesh-chavan/OpenLLM-Monitor`. Full setup details on the source page linked above.
Is OpenLLM-Monitor open source?
OpenLLM-Monitor is published on GitHub.
What are alternatives to OpenLLM-Monitor?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for OpenLLM-Monitor is sourced from GitHub, published by prajeesh-chavan.

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