Langfuse
Open Source LLM Engineering Platform.
Overview
Langfuse is an open-source LLM engineering platform that helps teams collaboratively develop, monitor, evaluate, and debug AI applications. It provides detailed tracing, cost analysis, user feedback collection, and evaluation metrics. Langfuse can be self-hosted for full data control or used as a managed cloud service.
✨ Key Features
- Detailed tracing of LLM applications and agents
- Cost, latency, and quality metrics
- Prompt management and versioning
- User feedback collection
- LLM-as-a-Judge and custom evaluations
- Dataset management for testing
- Open-source and self-hostable
🎯 Key Differentiators
- Open-source with a strong community
- Self-hosting option for full data control
- Comprehensive feature set covering the entire LLM development lifecycle
- Based on OpenTelemetry for vendor-neutral tracing
Unique Value: Provides a comprehensive, open-source, and self-hostable platform for the entire LLM development lifecycle, from debugging to production monitoring.
🎯 Use Cases (5)
✅ Best For
- Observability for RAG applications
- Debugging and improving LLM-powered agents
- Cost tracking for multi-provider LLM applications
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Teams looking for a platform with a heavy focus on traditional ML model monitoring
- Organizations that require a no-code interface for all functionalities
🏆 Alternatives
Offers more flexibility and data control than closed-source platforms like LangSmith, and a more LLM-specific feature set than general APM tools like Datadog.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Up to 50,000 observations/month
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