From f261b739a9e774970aaf3a744b884946653cfc63 Mon Sep 17 00:00:00 2001
From: Mendon Kissling <59585235+mendonk@users.noreply.github.com>
Date: Wed, 2 Apr 2025 16:26:17 -0400
Subject: [PATCH] docs: update arize phoenix variable (#7383)

* phoenix-api-key

* space

* add-tabs

* finish-sentence

* numbering

* code-review
---
 .../Integrations/Arize/integrations-arize.md  | 53 +++++++++++++++----
 1 file changed, 43 insertions(+), 10 deletions(-)

diff --git a/docs/docs/Integrations/Arize/integrations-arize.md b/docs/docs/Integrations/Arize/integrations-arize.md
index 49dd7e28d..95c3cfcc5 100644
--- a/docs/docs/Integrations/Arize/integrations-arize.md
+++ b/docs/docs/Integrations/Arize/integrations-arize.md
@@ -3,34 +3,67 @@ title: Integrate Arize with Langflow
 slug: /integrations-arize
 ---
 
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
 Arize is a tool built on [OpenTelemetry](https://opentelemetry.io/) and [OpenInference](https://docs.arize.com/phoenix/reference/open-inference) for monitoring and optimizing LLM applications.
 
-To add tracing to your Langflow application, add the `ARIZE_SPACE_ID` and `ARIZE_API_KEY` environment variables to your Langflow application.
+To add tracing to your Langflow application, add Arize environment variables to your Langflow application.
+Arize begins monitoring and collecting telemetry data from your LLM applications automatically.
 
 ## Prerequisites
 
-* If you are using the [standard Arize platform](https://docs.arize.com/arize), you need an **Arize Space ID** and **API API Key**.
-* If you are using the open-source [Arize Phoenix platform](https://docs.arize.com/phoenix), you need an Arize Phoenix API key and a project name.
+* If you are using the [standard Arize platform](https://docs.arize.com/arize), you need an **Arize Space ID** and **Arize API Key**.
+* If you are using the open-source [Arize Phoenix platform](https://docs.arize.com/phoenix), you need an **Arize Phoenix API key**.
 
 ## Connect Arize to Langflow
 
-1. To retrieve your **Arize Space ID** and **API API Key**, navigate to the [Arize dashboard](https://app.arize.com/).
+<Tabs>
+  <TabItem value="Arize Platform" label="Arize Platform" default>
+
+1. To retrieve your **Arize Space ID** and **Arize API Key**, navigate to the [Arize dashboard](https://app.arize.com/).
 2. Click **Settings**, and then click **Space Settings and Keys**.
 3. Copy the **SpaceID** and **API Key (Ingestion Service Account Key)** values.
 4. Create a `.env` file in the root of your Langflow application.
 5. Add the `ARIZE_SPACE_ID` and `ARIZE_API_KEY` environment variables to your Langflow application.
-You do not need to specify the **Arize Project** name if you're using the standard Arize platform. The **Project** name in Arize is the same as the Langflow **Flow** name.
+You do not need to specify the **Arize Project** name if you're using the standard Arize platform.
+Replace the following:
+
+* YOUR_ARIZE_SPACE_ID: the **SpaceID** value copied from Arize
+* YOUR_ARIZE_API_KEY: the **API Key** value copied from Arize
 
 ```bash
-export ARIZE_SPACE_ID=<your-arize-space-id>
-export ARIZE_API_KEY=<your-arize-api-key>
+ARIZE_SPACE_ID=YOUR_ARIZE_SPACE_ID
+ARIZE_API_KEY=YOUR_ARIZE_API_KEY
 ```
-
-6. Start your Langflow application with the values from the `.env` file.
-
+6. Save the `.env` file.
+7. Start your Langflow application with the values from the `.env` file.
 ```bash
 uv run langflow run --env-file .env
 ```
+  </TabItem>
+  <TabItem value="Arize Phoenix" label="Arize Phoenix">
+
+1. To retrieve your **Arize Phoenix API key**, navigate to the [Arize dashboard](https://app.phoenix.arize.com/).
+2. Click **API Key**.
+3. Copy the **API Key** value.
+4. Create a `.env` file in the root of your Langflow application.
+5. Add the `PHOENIX_API_KEY` environment variable to your application instead.
+Replace `YOUR_PHOENIX_API_KEY` with the Arize Phoenix API key that you copied from the Arize Phoenix platform.
+
+```bash
+PHOENIX_API_KEY=YOUR_PHOENIX_API_KEY
+```
+
+6. Save the `.env` file.
+7. Start your Langflow application with the values from the `.env` file.
+```bash
+uv run langflow run --env-file .env
+```
+  </TabItem>
+</Tabs>
+
+For more information, see the [Arize documentation](https://docs.arize.com/phoenix/tracing/integrations-tracing/langflow#go-to-arize-phoenix).
 
 ## Run a flow and view metrics in Arize