Audience
Software Engineers, AI Engineers, Data Scientists, Product Managers
About Langfuse
Langfuse is an open source LLM engineering platform to help teams collaboratively debug, analyze and iterate on their LLM Applications.
Observability: Instrument your app and start ingesting traces to Langfuse
Langfuse UI: Inspect and debug complex logs and user sessions
Prompts: Manage, version and deploy prompts from within Langfuse
Analytics: Track metrics (LLM cost, latency, quality) and gain insights from dashboards & data exports
Evals: Collect and calculate scores for your LLM completions
Experiments: Track and test app behavior before deploying a new version
Why Langfuse?
- Open source
- Model and framework agnostic
- Built for production
- Incrementally adoptable - start with a single LLM call or integration, then expand to full tracing of complex chains/agents
- Use GET API to build downstream use cases and export data
Pricing
Langfuse is open source so you will always be able to host the software yourself at no cost.
Company Information
Product Details
Langfuse Frequently Asked Questions
Langfuse Product Features
Langfuse Additional Categories
Langfuse Reviews
Write a Review-
Probability You Would Recommend?1 2 3 4 5 6 7 8 9 10
"LLM Observability using Langfuse" Posted 2024-03-12
Pros: I like that this is exclusively designed for LLMs only, so it takes a lot of clutter out of having to deal with features to do with rest of the models. Scores are very comprehensive including the ones related to query/response, ability to find rag relevance, cost related metrics which other tools typically do not offer and comprehensive trace function.
Cons: There wasn't much but if I have to highlight something here, self hosting was difficult. And the main dashboard can have drill downs to take it to relevant sections in traces/generations etc
Overall: It was good to see a tool which provides indepth analysis of LLM model interactions. This will be very useful in development and production.
Read More...