Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
Webmin
cPanel
Ajenti
Vesta Control Panel
Plesk
Cloudron
ispmanager
ISPConfig
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Langfuse
WebminBased on our record, Langfuse should be more popular than Webmin. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 17 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 2 months ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 2 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
I used Webmin[0] back in the day, I wonder how more recent server web UIs like Cockpit stack up. [0] https://webmin.com/. - Source: Hacker News / 4 months ago
What about webmin? I used it in the past, it has plenty of modules and parse config, so you can edit them by hand too. https://webmin.com/. - Source: Hacker News / almost 3 years ago
Why use this when Webmin has done the job for decades? https://webmin.com/. - Source: Hacker News / almost 3 years ago
Https://webmin.com/ can be used as a GUI for mdadm if you're not comfortable with a console. Source: about 3 years ago
If you want to roll your own virtualisation box, I would suggest either Debian or OpenSUSE TW with one of these tools, for everything else, I suggest Webmin. Source: over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
cPanel - With its first-class support and rich feature set, cPanel & WHM has been the web hosting industry's most reliable, intuitive control panel since 1997.
LangSmith - Build and deploy LLM applications with confidence
Ajenti - Web administration panel for servers and custom hardware
LangChain - Framework for building applications with LLMs through composability
Vesta Control Panel - โ What I love about Vesta is that it's fast and easy to use