Langfuse

Langfuse provides detailed distributed tracing that visualizes the entire execution flow of your AI application. You can inspect every step of a nested chain, including the exact inputs, outputs, latency, and token usage for each individual LLM call, making it easy to identify where a logic error or bottleneck occurred.

Yes, Langfuse includes a dedicated Prompt Management system. This allows you to decouple prompts from your application code, version them, and instantly deploy updates to production. You can also link specific traces to the prompt version used, enabling better evaluation of how prompt changes affect output quality.

Langfuse offers comprehensive evaluation features, including manual human annotation and automated model-based evaluations. You can define custom scores for metrics like relevance, toxicity, or accuracy, helping you systematically measure and improve the performance of your AI models over time.

Migration is seamless; you simply update your API keys and environment variables to point from your local or staging environment to your production project in the Langfuse dashboard. Because Langfuse is open-source, you can start with a local container and move to our managed cloud whenever you are ready to scale.

Yes, the Hobby plan is completely free and includes all core observability features, making it perfect for proof-of-concepts and personal projects. It allows you to explore the dashboard, test integrations, and set up your first traces without any financial commitment.

Langfuse offers native SDKs and integrations for popular frameworks including LangChain, LlamaIndex, and the OpenAI SDK. It is designed to be framework-agnostic, meaning you can also use our Python or TypeScript SDKs to manually instrument any custom LLM implementation or proprietary model.

Absolutely. While we offer high-level integrations for common frameworks, our flexible API and SDKs allow you to send traces from any environment. You can wrap your custom functions with our decorators or use our low-level logging methods to capture data from any model provider or internal setup.

On the Hobby plan, data is accessible for 30 days, while the Core plan extends this to 90 days. Once the retention period expires, older traces and logs are automatically purged from the system. If your project requires long-term historical analysis, we recommend the Pro plan which offers 3 years of data access.

Starting from the Core plan at $29/month, Langfuse allows for unlimited users. This ensures your entire engineering and product team can collaborate on debugging and prompt management without worrying about per-seat licensing costs, which is ideal for growing startups.

Langfuse is headquartered in Germany and adheres to strict European data privacy standards. For our cloud-hosted service, we use secure infrastructure with encryption at rest and in transit. For organizations with high security requirements, we also offer a self-hosted deployment option to keep all data within your own VPC.

The Enterprise plan is designed for large-scale teams and includes enterprise-grade security features, dedicated support, and custom compliance assistance. This tier is tailored to meet the rigorous auditing and data handling requirements of heavily regulated industries and large corporate environments.

Pro plan users receive priority email support to help resolve technical issues quickly. Enterprise customers benefit from a dedicated support channel, faster response time SLAs, and direct access to our engineering team for architectural guidance and advanced troubleshooting.