Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Portkey
Openlayer
PromptLayer
Debian
Ubuntu
Linux Mint
Fedora
Manjaro
Arch Linux
Gentoo
Windows 10
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 DebianBased on our record, Debian should be more popular than Langfuse. It has been mentiond 66 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 / about 1 month 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 2 months 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 / 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 / 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 / 3 months ago
The terminal is actually a Debian terminal. Debian is a version (distribution) of Linux, so if you've used it or Ubuntu before, you'll be very familiar with the commands. - Source: dev.to / over 2 years ago
Can't figure out debian.org? Then you probably won't figure out the distribution either. The website is perfectly fine, if you know how to read and think. They have mainly been focusing on making Debian stable, so it's more about reading manuals than expecting user-friendliness from it. There's loads of userfriendly-focused linux distributions out there. Source: about 3 years ago
Https://debian.org/ has a huge DOWNLOAD button. Source: about 3 years ago
Links on the debian.org doesn't work. Source: about 3 years ago
Https://debian.org/ download the iso, dd to a pendrive and reinstall... Source: about 3 years ago
Helicone AI - Open-source LLM Observability for Developers
Ubuntu - Ubuntu is a Debian Linux-based open source operating system for desktop computers.
LangSmith - Build and deploy LLM applications with confidence
Linux Mint - Linux Mint is one of the most popular desktop Linux distributions and used by millions of people.
LangChain - Framework for building applications with LLMs through composability
Fedora - Fedora creates an innovative, free, and open source platform for hardware, clouds, and containers that enables software developers and community members to build tailored solutions for their users.