updates

Author: katarzyna-koltun-mx

content/en/docs/marketplace/platform-supported-content/modules/snowflake/snowflake-mcp-byo.md

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+---
+title: "Bring Your Own Snowflake LLM"
+url: /appstore/modules/snowflake/bring-your-own-snowflake-llm/
+description: "Describes the steps required to use a Snowflake-managed MCP server with a Mendix AI agent."
+weight: 81
+---
+
+## Introduction
+
+You can leverage a LLM (Large Language Model) from your Snowflake account in your Mendix application for GenAI functionality. In Snowflake this is known as BYOK (Bring your own Key). For a list of available LLM models, refer to the Snowflake documentation.
+
+Using a Snowflake BYOK has the following advantages:
+
+* Easy - Offers unified integration with model provider capacity and multi-cloud resilience
+* Trusted - Leverage the Snowflake Secure Data Boundary
+* Cost-efficient - Benefit from unified billing and Snowflake committed spend draw down
+
+### Typical Use Cases
+
+* Chat interfaces in natural language
+* Usage by Mendix AI Agents
+
+## Prerequisites
+
+* Snowflake user, preferable of the Service type, with a PAT (Programmatic Access Token) in your Snowflake account. This user must have the authorization to invoke Cortex REST API.
+* Network rule and policy assigned to this user, which allow-lists the IP addresses from where the Mendix application will invoke the API at runtime.
+
+    For applications running locally in Studio Pro, you can retrieve your own IP address from [whatismyipaddress.com](https://whatismyipaddress.com/). For applications running in Mendix Cloud, see [Mendix IP Addresses: Mendix Cloud](/developerportal/deploy/mendix-ip-addresses/#mendix-cloud).
+
+* [OpenAI Connector](/appstore/modules/genai/reference-guide/external-connectors/openai/) in your Mendix application
+
+## Configuring the Snowflake LLM in the OpenAI Connector
+
+Because Snowflake conforms to the API specification of OpenAI, you can use the OpenAI connector to configure the connection to the Snowflake Cortex API.
+
+1. In OpenAI Connector, create a new configuration by performing the following steps:
+
+    1. Click **New**.
+    2. Enter an identifying name.
+    3. For API type, select **OpenAI**.
+    4. For **Endpoint**, enter your Snowflake account URL with the `/api/v2/cortex/v1/` suffix. 
+    
+    For example, the URL may look like the following: `https:/<snowflake_accountname>.snowflakecomputing.com/api/v2/cortex/v1/`.
+
+    5. Save your changes.
+
+    {{< figure src="/attachments/appstore/platform-supported-content/modules/snowflake-byok/save-changes.png" >}}
+ 
+2. Add a Large Language Model by performing the following steps:
+
+    1. Hover over the **three dots** icon and select **Manage deployed models** from the pop-up menu.
+
+    {{< figure src="/attachments/appstore/platform-supported-content/modules/snowflake-byok/managed-deployed-models.png" >}}
+
+    2. Click **Add new model** to add an LLM from the list of available LLMs in your Snowflake account.
+
+    {{< figure src="/attachments/appstore/platform-supported-content/modules/snowflake-byok/new-deployed-model.png" >}}
+
+    Alternatively, you can log into your Snowflake account with Snowsight and select **AI & ML > AI Studio > Cortex Playground**. The list in the top middle of the screen lists all available models.
+    
+    The **Model name** field in the Deployed Model configuration in Mendix must match exactly with the model name in Snowflake.
+
+    3. Complete the configuration for your model.
+    4. Save your changes.
+ 
+3. Test the configuration by performing the following steps:
+
+    1. Hover over the **three dots** icon and select **Test** from the pop-up menu.
+
+    {{< figure src="/attachments/appstore/platform-supported-content/modules/snowflake-byok/test-option.png" >}}
+
+    2. Select your deployed model from the drop-down list.
+    3. Click **Test**.
+
+    {{< figure src="/attachments/appstore/platform-supported-content/modules/snowflake-byok/test.png" >}}