---
title: Observability and Tracing for Langdock Agents
sidebarTitle: Langdock
logo: /images/integrations/langdock_icon.svg
description: "Langdock is an enterprise-ready AI platform for creating private agents in minutes—no code required. Deploy via secure chat, Slack, or API. When connected to Langfuse, every agent execution is automatically traced and visualized."
---

# Langdock Integration

> **Langdock** is an enterprise-ready AI platform for creating private agents in minutes—no code required. Deploy via secure chat, Slack, or API.

When connected to Langfuse, every Langdock agent execution is automatically traced and visualized.

## Setup

<Steps>

### Get Langfuse API keys

1. Sign up at [cloud.langfuse.com](https://cloud.langfuse.com) or self-host your own instance
2. Go to **Project → Settings → API Keys** and copy your keys

### Add Langfuse as logging provider in Langdock Agent Settings

1. Open the Langdock `Workspace Settings`
2. Navigate to `Agents` settings
3. Enable `Allow agent logs`
4. Add your Langfuse host as `Tracing cloud URL`, e.g. `https://cloud.langfuse.com` (EU), `https://us.cloud.langfuse.com` (US), `https://jp.cloud.langfuse.com` (Japan), or `https://hipaa.cloud.langfuse.com` (HIPAA)

  ![Enable agent logs in
  Langdock](/images/docs/langdock_1_enable_assistant_logs.png)

### Enable tracing when creating an agent

1. Open **Agents** → **New agent** in Langdock
2. Configure your agent
3. `Enable Langfuse tracing` and add your Langfuse keys
4. Click `Save`

  ![Enable tracing for agent in
  Langdock](/images/docs/langdock_2_enable_tracing_for_assistant.png)

</Steps>

Your agent conversations will now stream traces to Langfuse automatically.

## Resources

- [Langdock Documentation](https://docs.langdock.com)
- [Langfuse Tracing Documentation](/docs/tracing)

<!-- 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/integrations/no-code/langdock.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>.