diff --git a/packages/pro b/packages/pro
index 0d7fa31d4c4..7b8789efd94 160000
--- a/packages/pro
+++ b/packages/pro
@@ -1 +1 @@
-Subproject commit 0d7fa31d4c4019690e2200323421025cdc74b89e
+Subproject commit 7b8789efd940d9f8e5be9927243b19f07361c445
diff --git a/packages/server/src/automations/steps/openai.ts b/packages/server/src/automations/steps/openai.ts
index 6f9adec1dc0..8464c497631 100644
--- a/packages/server/src/automations/steps/openai.ts
+++ b/packages/server/src/automations/steps/openai.ts
@@ -106,13 +106,13 @@ export async function run({
       (await features.flags.isEnabled(FeatureFlag.BUDIBASE_AI)) &&
       (await pro.features.isBudibaseAIEnabled())
 
-    let llm
+    let llmWrapper
     if (budibaseAIEnabled || customConfigsEnabled) {
-      llm = await pro.ai.LargeLanguageModel.forCurrentTenant(inputs.model)
+      llmWrapper = await pro.ai.LargeLanguageModel.forCurrentTenant(inputs.model)
     }
 
-    response = llm?.initialised
-      ? await llm.run(inputs.prompt)
+    response = llmWrapper?.llm
+      ? await llmWrapper.run(inputs.prompt)
       : await legacyOpenAIPrompt(inputs)
 
     return {
diff --git a/packages/server/src/utilities/rowProcessor/utils.ts b/packages/server/src/utilities/rowProcessor/utils.ts
index 3728401ab82..09d3324ded7 100644
--- a/packages/server/src/utilities/rowProcessor/utils.ts
+++ b/packages/server/src/utilities/rowProcessor/utils.ts
@@ -126,7 +126,9 @@ export async function processAIColumns<T extends Row | Row[]>(
     const numRows = Array.isArray(inputRows) ? inputRows.length : 1
     span?.addTags({ table_id: table._id, numRows })
     const rows = Array.isArray(inputRows) ? inputRows : [inputRows]
-    const llmWrapper = await pro.ai.LargeLanguageModel.forCurrentTenant("gpt-4o-mini")
+    const llmWrapper = await pro.ai.LargeLanguageModel.forCurrentTenant(
+      "gpt-4o-mini"
+    )
     if (rows && llmWrapper.llm) {
       // Ensure we have snippet context
       await context.ensureSnippetContext()
@@ -151,14 +153,14 @@ export async function processAIColumns<T extends Row | Row[]>(
             }
           }
 
-          const prompt = llm.buildPromptFromAIOperation({
+          const prompt = llmWrapper.buildPromptFromAIOperation({
             schema: aiSchema,
             row,
           })
 
           return tracer.trace("processAIColumn", {}, async span => {
             span?.addTags({ table_id: table._id, column })
-            const llmResponse = await llm.run(prompt!)
+            const llmResponse = await llmWrapper.run(prompt!)
             return {
               ...row,
               [column]: llmResponse,