Blog

A new feature launch every day. A week dedicated to deeper insights and seamless integrations. Read more →

Langfuse April Update: 10,000 GitHub Stars, Langfuse User Meetup, Q2 Roadmap Highlights & More! Read more →

Building a fast-growing open-source project with a small team is fun. These are some of the ways how we use LLMs to accelerate. Read more →

Langfuse March Update: New UI, Prompt Composability, Environments & More! Read more →

Get an overview of the leading open-source AI agent frameworks—LangGraph, OpenAI Agents SDK, Smolagents, CrewAI, AutoGen, Semantic Kernel, and LlamaIndex agents. Compare features, learn when to use each, and see how to track agent behavior with Langfuse Read more →

Learn about agents and the importance of monitoring and tracking performance, cost, and user interactions. Explore tools like LangGraph, Llama Agents, Smolagents, OpenAI Agents, Dify, Flowise, and Langflow, and see how Langfuse helps to trace and optimize your application. Read more →

Hugging Face and Langfuse are popular platforms to develop and run LLM applications. This guide shows you 5 ways how to use both platforms together to simplify open source LLM development. Read more →

Explore proven strategies for LLM evaluation — from offline and online benchmarking – this post briefs you on the state of the art. Read more →

We've had a busy February at Langfuse, filled with new integrations, features, and announcements. Read more →

Exploring Zhang’s open-source Deep Research. We look at the prompting, search executions, and report creation, and compare it to both OpenAI’s and Perplexity’s Deep Research solutions. Read more →

Learn how to use Langfuse in your Voice AI development workflow for comprehensive voice agent testing and optimization. Read more →

A deep dive into how Langfuse's infrastructure evolved from a simple prototype to a scalable observability platform. Read more →

A new feature launch every day. Dedicated to unlocking model capabilities and integrating Langfuse tightly in your development loop. Read more →

Learnings from working with hundreds of teams on how to build great AI products. Read more →

Langfuse is the leading Open Source LLMOps product, trusted by thousands of teams for its robust tracing and evaluation, seamless integrations, and extensive community. Read more →

Explore the challenges of LLM observability and the current state of using OpenTelemetry (OTel) for standardized instrumentation. Read more →

Optimize multi-step LLM systems with advanced observability, feedback, and testing strategies for better performance and reliability. Read more →

We go over the advantages and disadvantages of using an LLM proxy. Read more →

The popular LLM development framework Dify.AI now integrates with Langfuse out of the box and in one click. Read more →

LLM security requires effective run-time checks and ex-post monitoring and evaluation. Learn how to use Langfuse together with popular security libraries to protect prevent common security risks. Read more →

Easily monitor and trace your Haystack pipelines with this new Langfuse integration. Read more →

Extending Langfuse’s core tracing with evaluations, prompt management, LLM playground and datasets. Read more →

When building RAG or agents, lots of LLM calls and non-LLM inputs feeds into the final output. The Langfuse decorator allows you to trace and evaluate holistically. Read more →

Unveiling Langfuse 2.0 in a week of releases Read more →

Context retrieval is a mainstay in LLM engineering. This latest integration brings Langfuse's observability to LlamaIndex applications for simple tracing, monitoring and evaluation of RAG applications. Read more →

Run UpTrain's >20 pre-configured evaluations on your Langfuse prod/dev data in Langfuse. Read more →

We're thrilled to announce that Langfuse, the open source observability and analytics solution for LLM applications, has raised a $4m seed round from Lightspeed Venture Partners, La Famiglia and Y Combinator. Read more →

Improved dashboard, OpenAI integration, RAG evals, doubled API speed, simplified Docker deployments. Read more →

Model-based evals, datasets, core improvements (query engine, complex filters, exports, sharing) and new integrations (Langflow, Flowise, LiteLLM). Read more →

Build in no-code in Langflow, observe and analyze in Langfuse Read more →

Improved data ingestion, integrations and UI. Read more →

Async SDKs, automated token counts, new Trace UI, Langchain integration, public GET API, new reports, ... Read more →

Summary of how we've built a Q&A chatbot for the Langfuse docs and how Langfuse helps us to improve it. Read more →

Integrate with Langfuse in seconds using the new Langchain Integration. Read more →

We integrated langfuse with the Vercel AI Chatbot. This example includes streaming responses, automated token counts, collection of user feedback in the frontend, grouping of thread into a single trace, and more. Read more →

Cross-post of our Launch YC (W23) post which explains why we're building Langfuse. Read more →