Langfuse

Open Source LLM Engineering Platform

Freemium

Description

Langfuse provides an open-source LLM engineering platform designed to assist developers in building, debugging, and maintaining complex LLM applications. It offers a comprehensive suite of tools that enable users to gain deep insights into their application's performance and behavior, facilitating continuous improvement. The platform emphasizes security and compliance, holding SOC 2 Type II and ISO 27001 certifications, and adhering to GDPR and HIPAA standards, making it suitable for enterprise use.

Key functionalities of Langfuse encompass detailed LLM tracing for observability, sophisticated prompt management for versioning and optimization, and extensive evaluation capabilities for assessing model performance. It also supports manual data annotation, dataset management for training and testing, and provides crucial metrics like token and cost tracking. Langfuse seamlessly integrates with a wide array of SDKs and frameworks, including Python, JavaScript/TypeScript, OpenAI, Langchain, and Llama-Index, and offers both a cloud-hosted solution and a self-hosting option for maximum flexibility.

Key Features

LLM Tracing: Debug and observe LLM applications with detailed traces, agent graphs, and session tracking.
Prompt Management: Version, manage, fetch, and A/B test prompts with features like prompt caching and release management.
LLM Evaluation: Conduct online and offline evaluations using custom scores, user feedback, human annotation queues, and LLM-as-judge evaluators.
Comprehensive Metrics: Monitor token usage, cost tracking, and overall application performance.
Seamless Integrations: Connect with popular SDKs (Python, JS/TS), frameworks (OpenAI, Langchain, Llama-Index), and tools like LiteLLM and Vercel AI SDK.
Enterprise-Grade Security: SOC 2 Type II and ISO 27001 certified, GDPR compliant, and HIPAA aligned.
Flexible Deployment: Offers both Langfuse Cloud (hosted in US or EU) and a self-hosting option for full control.
Dataset Management: Create and manage datasets for evaluations and experiments.

Use Cases

Debugging and improving complex LLM applications
Monitoring and optimizing LLM agents in production
Managing and versioning prompts for consistency and performance
Evaluating LLM outputs and gathering human feedback
Tracking token consumption and costs of LLM operations
Collaborating on LLM projects with team members

Frequently Asked Questions

What is the easiest way to try Langfuse?

The easiest way to try Langfuse is by signing up for the free 'Hobby' plan, which does not require a credit card. You can also explore the interactive demo or watch a 10-minute video demo available on their website.

Can I self-host Langfuse?

Yes, Langfuse is an open-source platform and offers a self-hosting option. This allows you to host Langfuse on your own infrastructure, providing full control over your data and deployment.

Where is the data stored when using Langfuse Cloud?

When using Langfuse Cloud, you have the option to store your data in either the US or EU data regions, helping with data residency requirements.

Does Langfuse offer any discounts?

Yes, Langfuse provides discounts for early-stage startups (50% off for the first year), educational institutions and non-profits (up to 100% off, with certain limits), and open-source projects ($300 in credits for the first year). You can apply by contacting them via email.

What types of support does Langfuse offer?

Langfuse offers community support via Discord and GitHub for all users. Paid plans (Core, Pro, Enterprise) include progressively enhanced support options such as Email/Chat, dedicated Slack channels, and dedicated support engineers.