Langfuse: Your Open Source LLM Engineering Platform
Optimize your LLM apps with Langfuse's comprehensive tools for tracing, prompt management, evaluation, and metrics.
Semrush rank: | 821.5k |
Location: | DATA REDACTED, Germany |
Tech Used: | Radix UI ; Headless UI ; Tailwind CSS ; shadcn/ui, Next.js, React ; Next.js, |
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Features
- Tracing: Get detailed production traces to debug and enhance your LLM applications efficiently.
- Prompt Management: Version and deploy prompts collaboratively with swift retrieval using low latency.
- Playground: Experiment with different prompts and models straight from the Langfuse UI.
- Evaluation: Collect user feedback and perform evaluations directly within Langfuse.
- Datasets: Create datasets from production data to fine-tune and evaluate your LLM models.
- Metrics: Monitor important metrics like cost, latency, and quality to refine your LLM applications.
Use Cases:
- LLM Application Development: Ideal for teams building complex LLM applications requiring detailed debugging and performance metrics.
- Collaborative Prompt Management: Facilitates collaboration in designing, managing, and deploying prompts with multiple users.
- Model Evaluation and Optimization: Supports evaluation functions for continuous improvement of LLM applications.
- Production Data Utilization: Enables creation of datasets from real-world production data for effective model testing and tuning.
Langfuse offers a tightly integrated open source platform for developing and optimizing LLM applications, supporting teams with robust tools and metrics.


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