Langfuse

DebuggingDeveloper toolsOpen Source

What is Langfuse?

Langfuse is an open-source LLM engineering platform designed for observability, prompt management, and evaluations. It provides tools for tracing, debugging, and monitoring LLM applications, alongside features like prompt versioning, analytics, and user feedback collection. Langfuse supports integrations with popular frameworks like Langchain, LlamaIndex, and OpenAI, making it versatile for developers. It offers both cloud-hosted and self-hosted deployment options, ensuring flexibility and control over LLM workflows.

Features

LLM observability for tracing and debugging

Prompt management with versioning and deployment

LLM evaluations using model-based and manual scoring

Analytics dashboards for cost, latency, and quality

Integrations with Langchain, LlamaIndex, and OpenAI

Links

Website Documentation GitHub Discord

Pros and Cons of Langfuse

Pros

Simplifies LLM application monitoring and debugging

Supports prompt versioning and experimentation

Offers flexible deployment options (cloud/self-hosted)

Integrates with popular LLM frameworks and tools

Provides detailed analytics and user feedback collection

Cons

Requires setup for self-hosted deployments

Advanced features may need additional configuration

Limited to supported integrations and frameworks

Langfuse Use Cases

Debugging and optimizing LLM application performance

Managing and versioning prompts for LLM workflows

Collecting and analyzing user feedback on LLM outputs

Benchmarking LLM performance with datasets and evaluations

Integrating LLM observability into existing applications

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