---
title: Guides
description: End-to-end examples and resources to get started with Langfuse for LLM Tracing, Monitoring, Prompt Management, and more.
---

# Guides

End-to-end examples of how to use Langfuse: tutorials, runnable cookbooks, and video walkthroughs.

## Evaluation Tutorials

Start with the fundamentals and progress through advanced techniques as your application complexity grows. Read our [blog post](/blog/2025-11-12-evals) for an overview.

<TutorialCards>
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
</TutorialCards>

### Advanced Topics

Extend your evaluation approach for complex, multi-step applications.

<TutorialCards>
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
  }
  />
</TutorialCards>

## Cookbooks

Runnable cookbooks, sorted by topic. The notebook sources (`ipynb`) live in the [`cookbook`](https://github.com/langfuse/langfuse-docs/tree/main/cookbook) directory of the repository.

## Video Tutorials

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/guides.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.