Langfuse
The open source LLM engineering platform
Overview
Langfuse is an open-source LLM engineering platform designed to help developers understand and improve their LLM applications. It provides detailed tracing of LLM calls, allowing teams to visualize the entire lifecycle of a request, from prompt to final output. With features for debugging, evaluation, and prompt management, Langfuse serves as a comprehensive toolkit for building and maintaining reliable LLM-powered products. It can be self-hosted for maximum data control or used as a managed cloud service.
✨ Key Features
- LLM Tracing & Debugging
- Evaluations & Monitoring
- Prompt Management
- Cost Management
- Open Source & Self-Hostable
- User & Session Tracking
- Collaboration Features
- SDKs for Python & JS/TS
🎯 Key Differentiators
- Open-source with a strong community
- Self-hosting option for data privacy and control
- Clean and intuitive UI for tracing and debugging
- Focus on the end-to-end LLM engineering workflow
Unique Value: Langfuse provides an open-source, developer-friendly platform to trace, debug, and evaluate LLM applications, giving teams the tools they need to build reliable AI products with full control over their data.
🎯 Use Cases (5)
✅ Best For
- Tracing and debugging RAG pipelines
- A/B testing different prompts and models
- Monitoring production LLM applications for errors and performance issues
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Traditional ML model monitoring (e.g., for tabular data)
- Real-time model serving infrastructure
🏆 Alternatives
Compared to closed-source competitors like LangSmith, Langfuse offers the flexibility of self-hosting and the transparency of open-source. It provides a more focused LLM engineering experience than broader MLOps platforms.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
Free tier: Cloud: 50,000 observations/month. Self-hosted: unlimited.
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