Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
GitMerch
GitHub Contributions
GitHub Skyline
GitHub Personal Website Generator
Contributions for GitHub
JANDI
Commit Print
GitLocalize
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 GitMerchBased on our record, Langfuse should be more popular than GitMerch. 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 / 9 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 / 27 days 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
This would make for an epic GitMerch t-shirt. Just came across it recently and think it's quite cool. Source: over 4 years ago
Speaking of contributions, there are lots of ways you can celebrate your 2021 achievements. Get your contributions printed on a tshirt, hoodie, tote, or mug with GitMerch or on a poster with Commit Print. These are great ideas for Christmas gifts or if you're looking for something to spice up your home office for 2022. - Source: dev.to / over 4 years ago
Who doesn't like to go down memory lane? Affirm a software engineer of their technical and career growth with a shirt, poster, or 3D model of their GitHub contribution graph. - Source: dev.to / over 4 years ago
You can make custom designed merch using customer's data (printyourtweet, gitmerch, metee). Source: about 5 years ago
Helicone AI - Open-source LLM Observability for Developers
GitHub Contributions - All your GitHub contributions in one image
LangSmith - Build and deploy LLM applications with confidence
GitHub Skyline - View and print a 3D model of your GitHub contribution graph
LangChain - Framework for building applications with LLMs through composability
GitHub Personal Website Generator - Generate a personal website based on GitHub contributions