---
date: 2025-02-14
title: Graph view for LangGraph traces
description: Follow your LangGraph agent execution on a graph view
author: Hassieb
ogVideo: https://static.langfuse.com/docs-videos/250214-trace-graph-view.mp4
canonical: /docs/observability/features/agent-graphs
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the canonical documentation for this feature (https://langfuse.com/docs/observability/features/agent-graphs) and the API/SDK reference (https://api.reference.langfuse.com).

We are excited to announce the launch of our graph view for LangGraph traces, marking our first step toward a generalized agent graph view.

When tracing complex agent orchestration with LangGraph, you can now visualize the conceptual agent graph while stepping through your execution's spans and generations. This visualization helps maintain context by clearly showing the hierarchy of each specific span within the agent graph.

This feature is currently in beta. We welcome your feedback and encourage you to share screenshots of your graphs with us on [GitHub](https://github.com/orgs/langfuse/discussions/2669)!

**Learn more**

- [Example trace](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/8ed12d68-353f-464f-bc62-720984c3b6a0?display=graph)
- [Agent Graphs Documentation](/docs/tracing-features/agent-graphs)
- [LangGraph](https://langchain-ai.github.io/langgraph/)
- [LangGraph + Langfuse cookbook](/integrations/frameworks/langgraph)

<!-- 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/changelog/2025-02-14-trace-graph-view.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>.