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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.
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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 / 23 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 / 2 months ago
I was inspired by a great article: Build a minimal decorator with Ruby in 30 minutes By Rรฉmi - @remi@ruby.social Thanks to Ruby Weekly for sharing it! - Source: dev.to / about 1 year ago
Sloth Finder helps you encounter the most amazing weekly Ruby articles around your favorite Ruby and Rails topics for the past decade sourced from [Ruby Weekly](https://rubyweekly.com/). This tool was made because the creator, a Sloth in human form, was interested in all the greatest articles around his favorite weird Ruby niche, so he built a primitive search and looked for: ```. - Source: Hacker News / about 2 years ago
Please post below with your favorite places to talk to other Rubyists, such as https://www.ruby-forum.com/ or https://discuss.rubyonrails.org/. Or places to read Ruby news like https://rubyweekly.com/. If you've nowhere else to talk about Ruby, you can post your favorite memory of Ruby Tuesday (the restaurant). If you've never been there, you can comment about how you imagine it would be. Source: about 3 years ago
Yes, but it took several hours and a lot of people reaching out to their contacts at Google for a human at Google to get involved and reverse the block. We still don't know how or why metasploit-payloads got falsely reported; was it malicious/intentional or an automated code scanning system at Google? Also, since Google Safe Browsing List is used by many other services to filter out "bad websites", it caused a lot... Source: about 3 years ago
Peter Cooperโs https://rubyweekly.com by far one of the best. Source: over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
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Awesome Ruby Newsletter - A weekly overview of the most popular Ruby news, articles and gems.
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