1
Helicone
Shares tags: analyze, monitoring & evaluation, cost & latency observability
AI Tool
Elevate Your LLM Performance with Langfuse Observability
Track prompts, costs, and latency seamlessly with our advanced tracing dashboards.
Visit Langfuse Observability→
AnalyzeMonitoring & EvaluationCost & Latency Observability
1Gain user-level insights with granular tracking of metrics like token usage and feedback.
2Integrate real-time monitoring and user feedback directly with your model's performance.
3Open-source and scalable—developed to support all major LLMs to optimize your workflow.
Similar Tools
Compare Alternatives
Other tools you might consider
Visit→
2
Weights & Biases Prompts
Shares tags: analyze, monitoring & evaluation, cost & latency observability
3
Traceloop LLM Observability
Shares tags: analyze, monitoring & evaluation, cost & latency observability
4
OpenMeter AI
Shares tags: analyze, monitoring & evaluation, cost & latency observability
overview
What is Langfuse Observability?
Langfuse Observability is an advanced tool designed for tracking and optimizing large language model (LLM) performance. Whether you're managing costs, latency, or user interactions, our tracing dashboards provide invaluable insights to enhance your workflow.
- 1Comprehensive data visualization for LLM metrics.
- 2User-friendly interfaces for interactive exploration.
- 3Seamless integration with various LLM providers.
features
Key Features
Langfuse offers a suite of powerful features that enhance your monitoring and evaluation processes. Our focus on real-time feedback and detailed observability ensures you never miss a critical metric.
- 1User-level observability for granular performance insights.
- 2Real-time feedback integration for continuous improvement.
- 3Advanced analytics for complex multi-agent AI workflows.
use cases
Who Can Benefit?
Langfuse is ideal for LLM developers, data scientists, and AI/ML operations teams seeking to optimize their applications and improve their debugging processes. Our tool is designed for both cloud and on-premise environments.
- 1Enhance collaboration among development teams.
- 2Support compliance with major security frameworks.
- 3Drive rapid iteration based on user feedback and metrics.
❓
Frequently Asked Questions
+What metrics can I track with Langfuse Observability?
You can track a variety of metrics, including token usage, cost analysis, latency, and user feedback, allowing for comprehensive performance evaluation.
+Is Langfuse compatible with all LLM providers?
Yes, Langfuse is an open-source and framework-agnostic platform that supports all major LLM providers such as OpenAI, LangChain, and LlamaIndex.
+How does real-time monitoring work?
Langfuse enables real-time monitoring by collecting and integrating user feedback and model performance scores directly with your trace data, helping you iterate quickly.