
LLMonitor
Open source monitoring and production toolkit for AI apps
LLMonitor launched on November 24, 2023 with 128 votes, #443 of 4,333 launches that month and more than 75% of that year's launches.
In plain words
LLMonitor is an open-source observability and evaluation toolkit designed for developers building AI applications. It allows users to log queries and monitor their AI app's performance in production. The tool helps developers track and improve application quality through integrated monitoring and evaluation features, making it useful for teams working with language models and other AI systems.
written from the facts on this page · September 2026
From the sources
Open-source observability and evaluation toolkit for AI developers. Log queries and improve your app's quality.
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Open-source observability for LLM apps2023 · github.com · ▲10Hi HN, Hugh and Vince here. LLMonitor helps you record, trace & search your LLM queries and chatbot conversations. You can also capture user feedback on your frontend and correlate it with backend LLM queries then use that to fine-tune your own models. The project started has an internal tool in our previous (failed) AI startup. We’re aware the LLM observability space is very crowded. Apart from being open-source, we differentiate with: - Model-agnostic and minimal lock-in (no MITM of requests). - High focus on DX and dashboard clarity. - Support for complex scenarios: e.g. a chatbot that…
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