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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Langfuse might be a bit more popular than R2Devops Hub. We know about 10 links to it since March 2021 and only 10 links to R2Devops Hub. 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.
To simplify the creation, usage and maintenance of these templates, you can create your own CI/CD catalog using https://r2devops.io. Source: about 2 years ago
I found out about R2DevOps some months ago that can help for that. Source: about 2 years ago
Perhaps r2devops can help? Https://r2devops.io/. Source: almost 3 years ago
I work on a tool that automates the creation of your CI/CD pipeline 👉🏻 https://r2devops.io. Source: almost 3 years ago
I've already talked about https://r2devops.io a couple of months ago: we are building a library of open source CI/CD jobs you can easily integrate in your GitLab's pipelines. Source: about 3 years ago
Langfuse is another open-source platform for debugging, analyzing, and iterating on language model applications. It offers tracing, evaluation, and prompt management. While Langfuse offers many capabilities, some (like the Prompt Playground and automated evaluation) are only available in the paid tier for self-hosted users. - Source: dev.to / 12 days ago
It is reportedly used on websites like Langfuse and Million.dev. - Source: dev.to / about 2 months ago
LangFuse is a monitoring and debugging platform for LLM-powered applications. It provides insights into token usage and costs. It can also analyze latency, and the performance of AI interactions. The platform allows debug prompts, and analyzes how they behave in production. - Source: dev.to / 3 months ago
You'll notice there's a lot of prompts in these examples. As you develop your prompts, you'll likely want to iterate and refine them over time. I recommend using tools like Langfuse or Langsmith for prompt management and metrics, making it easier to track performance and make improvements. - Source: dev.to / 3 months ago
Langfuse (https://langfuse.com). We started with observability and have branched out into more workflows over time (evals, prompt mgmt, playground, testing...). We have a bunch of traction and are looking for our fourth to sixth hire in scaling and building feature depth. We're hiring in person (4-5 days/week) in Berlin, Germany (salary ranges for each job 70k-130k, up to 0.35% equity). We value quality in... - Source: Hacker News / 3 months ago
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