Is Langfuse free to use for small teams or individuals?

Yes, Langfuse offers a free tier at $0/month per seat, making it accessible for individuals, small teams, and researchers to get started with LLM observability and evaluation without initial cost.

What are the core features of Langfuse for AI engineers?

Langfuse offers essential features for AI engineers including detailed traces for debugging LLM calls, robust evaluation tools for model performance, prompt management for versioning and experimentation, and comprehensive metrics for overall observability of AI applications.

Langfuse

Open-source LLM observability and evaluation

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Shyft Score

Directory quality rating

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80/100

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Our take

The verdict on Langfuse

AI-generated

Langfuse is a solid open-source choice for LLM engineering, offering strong observability and evaluation features. Its open-source nature makes it cost-effective and customizable, but it lacks some advanced AI agent support.

Strengths

Open-source and cost-effective
Strong observability features
Customizable and flexible

Limitations

Lacks advanced AI agent support
Smaller ecosystem compared to competitors
Documentation could be more comprehensive

Best for: Engineering teams at startups and mid-sized companies building LLM applications.

Try Langfuse's free tier to see if it fits your workflow.

See how Langfuse fits your stack

Benefits

Why teams choose Langfuse

Debug LLM issues 10x faster with detailed execution traces

Reduce AI costs by up to 40% through comprehensive usage tracking

Ship higher-quality AI features with automated evaluation workflows

Prevent production failures before they impact users

About

What is Langfuse?

Open-source observability platform for LLM applications. Provides tracing, cost tracking, and evaluation tools for monitoring production LLM systems. Used by Canva, Samsara, Khan Academy, and Twilio.

Key capabilities

Traces

Evals

Prompt Management

Metrics

Observability

Annotations

At a glance

Capabilities

API

Use cases

What you can do with Langfuse

Monitor LLM token usage and costs across production deployments

Trace multi-step prompts and function calls to debug AI agent behavior

Evaluate LLM output quality with automated scoring and human feedback

Compare model performance and identify optimization opportunities

Best for

Data scientistsMachine learning engineersAI researchers

Pricing

Langfuse pricing

Langfuse starts at $0/mo

Starting at $0/mo

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with Langfuse

MCP servers

Use Langfuse with AI agents via these MCP servers

langfuse

Effortlessly manage and access Langfuse prompts with the Model Context Protocol.

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Integrations

OpenTelemetryOpenAILangChainLangGraphPostHogMixpanelJS/TS SDKPython SDKLangChain & LangGraphOpenAI (Python)Vercel AI SDKGoogle ADK+46 more

AI & automation capabilities

REST API

MCP ServerN/A

WebhooksN/A

Free TierN/A

FAQs

Frequently asked questions

Common questions about Langfuse and its capabilities

Langfuse is an open-source AI observability platform for LLMs. It provides features like traces, evaluations, prompt management, and metrics to help data scientists and ML engineers monitor, debug, and improve their LLM applications effectively.