Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Portkey
Openlayer
devpush
Coolify
Render
Vercel
Dokploy
Dokku
Ploi Cloud
CaptainDuckDuck
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.
LangfuseBased on our record, Langfuse seems to be a lot more popular than devpush. While we know about 29 links to Langfuse, we've tracked only 1 mention of devpush. 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.
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 6 days ago
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 / 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 / 3 months ago
I remember reading The Twelve-Factor App [1] from the Heroku folks back in the day, and was blown away by how well they understood the problem. Not only that but they had great taste. I moved things to Render a while back, and then to my own Hetzner server (I built kind of an open source Vercel clone for that reason [2]). I'm not quite sure any of these platforms are going to be relevant 5 years from now when you... - Source: Hacker News / 6 months ago
Helicone AI - Open-source LLM Observability for Developers
Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative.
LangSmith - Build and deploy LLM applications with confidence
Render - Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.
LangChain - Framework for building applications with LLMs through composability
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.