Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
Paper Programs
JavaScript.com
Kuoll JavaScript Tracer
aijs.rocks
VCV Rack
Dark Language
Snap
Vorpal
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 Paper ProgramsNo Paper Programs videos yet. You could help us improve this page by suggesting one.
Based on our record, Langfuse should be more popular than Paper Programs. 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 / 18 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
Not quite Realtalk, but inspired by it: http://paperprograms.org. - Source: Hacker News / almost 2 years ago
If you just want the projector and the camera stuff there's https://paperprograms.org/. - Source: Hacker News / about 3 years ago
I see how that might be constructed as a negative, but IMO it's too early to tell whether that's a genuine setback to the project. "Protecting his baby" might be a very wise decision at this point, if only because of how the reception generally goes; pigeonholing the project into something like "an AR coding environment" or "visual programming with projectors" is a very real risk that could damage the project's... - Source: Hacker News / over 5 years ago
Helicone AI - Open-source LLM Observability for Developers
JavaScript.com - A free resource for learning and developing in JavaScript
LangSmith - Build and deploy LLM applications with confidence
Kuoll JavaScript Tracer - See how your users crashed your web application
LangChain - Framework for building applications with LLMs through composability
aijs.rocks - A collection of AI-powered JavaScript apps