---
title: "Trubrics Integration"
sidebarTitle: Trubrics
logo: /images/integrations/trubrics_icon.svg
description: "Integrate Langfuse with Trubrics for unified analytics and insights"
---

# Trubrics Integration

The Trubrics integration allows you to import your Langfuse LLM tracing data directly into Trubrics for unified analytics and insights.

## Setup

1. Navigate to the Integrations section in your Trubrics project
2. Provide your Langfuse credentials:
   - Langfuse API Key
   - Langfuse Secret Key
   - Langfuse Host URL (defaults to https://cloud.langfuse.com)

## How It Works

- The integration automatically fetches trace data from your Langfuse account
- Traces are mapped to Trubrics events using configurable mapping rules
- Standard events like "User Prompt" and "LLM Generation" are automatically detected
- All events include a direct link back to the original trace in Langfuse

## Advanced Configuration

Advanced users can customize the mapping rules to fine-tune how Langfuse data is imported into Trubrics, allowing for tailored analytics and insights.

For more details about the automated integration with mapping rules, visit the [Trubrics documentation](https://docs.trubrics.com/track_events/integrations/langfuse/).

## Walkthrough

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  src="https://www.loom.com/embed/cd2d31d2edd1454d9a2169c578b59467?sid=75a7559a-3efa-411c-b520-c9b3a57bce6b"
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<!-- 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/analytics/trubrics.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>.