Langfuse

giselle

“Langfuse gives us complete visibility into our AI workflows. From tracking token usage and costs across multiple LLM providers to tracing every generation and embedding operation, it's become essential for understanding how our users interact with AI. The tagging and session tracking features make debugging and optimization so much easier. Thank you for building such a powerful observability platform for LLMs!”

cognee

“Langfuse is our choice when observability and tracing are the key. Our clients love their tool and we do too!”

Conduit

“Detailed tracing and evals for our AI workloads.”

Agentplace.io

“Observability for LLM apps and agents Langfuse helps us trace, debug, and improve agent quality across the platform.”

stagewise

“Marc gave me an in-person onboarding in SF - I found an issue in our LLM provider config just 30 minutes after the onboarding thanks to Langfuse. 10/10 recommendation”

Symvol Video AI for Education

“Best for LLM monitoring.”

Lamatic.ai

“Built in integration for the best LLM observability out there.”

Magic Patterns

“Langfuse powers our LLM observability. Without Langfuse, our AI agent would not be best-in-class. We have been using Langfuse since nearly the beginning: 2+ years!”

Minicule

“Using Langfuse as MInicule's observability layer”

OpenFunnel(YC F24)

“LLM observability platform that just works!”

Orango

“Langfuse helps us manage LLM observability, metrics, and prompts.”

Finyuus

“needing to provide AI observability to users - natural choice.”

Flowstep

“We use it to trace every model call in Flowstep, super useful for debugging”

Imagine

“Shoutout to the team at Langfuse for building a robust observability and evaluation platform for AI systems. Langfuse is a core part of Imagine.dev’s agentic architecture, giving us deep visibility into agent behavior and model performance as we iterate and scale. Their focus on tracing, metrics, and developer tooling has been critical to making our system reliable in production.”

Relay.app

“Langfuse lets us monitor the quality and cost of all our AI features with ease. And our assistant likes to use it to improve itself.”

Lingo.dev

“Extremely relilable LLM Engineering Platform.”

Manufact (mcp-use)

“Langfuse helps us manage LLM observability, metrics, and prompts.”

MCP-Builder.ai

“We use Langfuse to keep track of our LLM prompts while building MCP-Builder.ai. It’s a great tool that makes it easy to monitor and analyze prompt performance, helping us improve quickly and efficiently.”

Truva

“Helping us stay on top off our AI agents.”

Yapify

“Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into our drafting agent. The key benefits of Langfuse are: 1) (Real-time) visibility into agent performance 2) Detailed tracing that shows our system's decision-making process including the context 3) Open source with self-hosting options (huge win for us) Being able to host Langfuse on our own infrastructure while getting enterprise-grade LLM observability is exactly what we needed. Highly recommended for teams serious about understanding how their LLM systems actually work and to figure out how to improve them.”

“Langfuse is an amazing tool, it helps us evaluate quality and keep track on our LLM activity!”

Pebbles Ai

“When you're building agentic AI workflows, observability isn't optional – it's survival. Langfuse gives us full traceability across our LLM pipelines. We can see exactly what's happening inside each agent call, catch regressions early, and continuously improve output quality. It's open-source, deeply integratable, and one of the most thoughtfully built tools in the LLM engineering space. If you're building anything with LLMs and you're not using Langfuse, you're flying blind.”

Draft Alpha

“Thanks for the generous free tier and excellent LLM observability 🙌”