docs: rebrand Vertex AI to Gemini Enterprise Agent Platform in AI logic Skills

skills/firebase-ai-logic-basics/SKILL.md

@@ -18,11 +18,11 @@ It supports the two Gemini API providers:
 
 -   **Gemini Developer API**: It has a free tier ideal for prototyping, and
     pay-as-you-go for production
--   **Vertex AI Gemini API**: Ideal for scale with enterprise-grade production
-    readiness, requires Blaze plan
+-   **Agent Platform Gemini API** (formerly branded Vertex AI): Ideal for scale
+    with enterprise-grade production readiness, requires Blaze plan
 
-Use the Gemini Developer API as a default, and only Vertex AI Gemini API if the
-application requires it.
+Use the Gemini Developer API as a default, and only Agent Platform Gemini API
+(formerly branded Vertex AI) if the application requires it.
 
 ## Setup & Initialization
 

skills/firebase-ai-logic-basics/references/flutter_setup.md

@@ -62,9 +62,12 @@ Use `FirebaseAI.googleAI` for the **Gemini Developer API**.
 
 > [!IMPORTANT] **Choose the Right API Provider:** Always use
 > `FirebaseAI.googleAI` (Gemini Developer API) as the default for prototyping
-> and standard use. Avoid using the Vertex AI Gemini API unless your application
-> specifically requires enterprise-grade scalability and is configured for the
-> Blaze plan.
+> and standard use. Avoid using the Agent Platform Gemini API (formerly branded
+> Vertex AI) unless the app and business use case specifically require
+> enterprise-grade scalability or data residency requirements. Note that the
+> Gemini Developer API *usually does not* require the Firebase project to be on
+> the pay-as-you-go Blaze pricing plan; however, the Agent Platform Gemini API
+> does require the Blaze plan.
 
 ### Text Generation