Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
Write.as
Ghost
WordPress
Medium
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Blogger
Pastebin.com
Jekyll
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
Write.asBased on our record, Write.as should be more popular than Langfuse. It has been mentiond 60 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 / 11 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 1 month 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 1 month 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
There's a lot of it on the Fediverse tech circles. I find a lot of it through following the #Fediverse tag on Mastodon. Bandwagon.fm: A federated platform for musicians and fans: https://bandwagon.fm/ Bonfire: A modular server for building communities with a wide variety of services: https://bonfirenetworks.org/ write.as: "Type words, put them on the internet." https://write.as/. - Source: Hacker News / 7 months ago
And it's very easy to start with something that is also "social": - https://write.as - a https://writefreely.org instance that also syncs with Mastodon, so people can see/discover/subscribe/ comment on your posts without extra hassle of setting up comments or other privacy invading tools. - https://bearblog.dev - just text, very simple and quick to get started. - Source: Hacker News / 8 months ago
The Write.as MCP Server transforms how AI systems interact with Write.as, the minimalist blogging platform beloved for its simplicity and privacy-first approach. By implementing the Model Context Protocol (MCP), this server enables LLMs, agents, and applications to create, retrieve, and manage anonymous posts without requiring any credentials whatsoever. - Source: dev.to / about 1 year ago
There's a ton of those platforms, varying from extremely unknown to fairly well established. I'm pretty sure multiple of them end up as a Show HN every year. The only thing on your list they generally don't do is domain registration, but keeping that separate is generally a good thing. Sibling mentioned bearblog.dev, I'll mention write.as[1]. [1]: https://write.as/. - Source: Hacker News / over 1 year ago
I'd noticed some years back that this project seems to have started with a pretty strong anonymity story: https://write.as/ That seemed to diminish in emphasis a few years ago, stopped accepting accounts that didn't give you a credit card end of 2021, and some year recently (last year? I forgetโฆ) seemed as though the warrant canary missed a couple updates. (It's up to date now, with an assertion of no warrants... - Source: Hacker News / almost 2 years ago
Helicone AI - Open-source LLM Observability for Developers
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
LangSmith - Build and deploy LLM applications with confidence
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
LangChain - Framework for building applications with LLMs through composability
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.