Langfuse Description

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications.

Observability: Incorporate Langfuse into your app to start ingesting traces.
Langfuse UI : inspect and debug complex logs, user sessions and user sessions
Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse

Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports
Evals: Calculate and collect scores for your LLM completions

Experiments: Track app behavior and test it before deploying new versions

Why Langfuse?

- Open source
- Models and frameworks are agnostic
- Built for production
- Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents
- Use GET to create downstream use cases and export the data

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Pricing

Pricing Starts At:
$29/month
Pricing Information:
Generous free tier and Pro Plans starting at USD 29/month.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Free Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, Langfuse has an API
View Integrations

Reviews - 1 Verified Review

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features
design
support
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Company Details

Company:
Langfuse
Year Founded:
2023
Headquarters:
Germany
Website:
langfuse.com
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Media

Play Video The Langfuse Dashboard Langfuse Documentation (langfuse.com/docs) Viewing traces in Langfuse Viewing chatbot interactions through Langfuse Sessions
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Product Details

Platforms
SaaS
On-Premises
Type of Training
Documentation
Videos
Customer Support
24/7 Live Support
Online

Langfuse Features and Options

Langfuse Lists

Langfuse User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Consultant
    Length of product use: Free Trial
    Used How Often?: Weekly
    Role: User
    Organization Size: 500 - 999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    LLM Observability using Langfuse

    Date: Mar 12 2024

    Summary: It was good to see a tool which provides indepth analysis of LLM model interactions. This will be very useful in development and production.

    Positive: 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.

    Negative: 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

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