Address feedback

JakeSCahill · JakeSCahill · commit 09ca2d1f2e0c · 2026-02-06T17:37:55.000Z
diff --git a/modules/ai-agents/pages/agents/a2a-concepts.adoc b/modules/ai-agents/pages/agents/a2a-concepts.adoc
@@ -8,6 +8,8 @@
 
 The Agent-to-Agent (A2A) protocol is an open standard for agent communication and discovery. Redpanda Cloud uses A2A for both external integration and internal pipeline-to-agent communication.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/architecture-patterns.adoc b/modules/ai-agents/pages/agents/architecture-patterns.adoc
@@ -8,6 +8,8 @@
 
 This topic helps you design agent systems that are maintainable, discoverable, and reliable by choosing the right architecture pattern and applying clear boundary principles.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/concepts.adoc b/modules/ai-agents/pages/agents/concepts.adoc
@@ -8,6 +8,8 @@
 
 Agents execute through a reasoning loop where the LLM analyzes context, decides which tools to invoke, processes results, and repeats until the task completes. Understanding this execution model helps you design reliable agent systems.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/integration-overview.adoc b/modules/ai-agents/pages/agents/integration-overview.adoc
@@ -8,6 +8,8 @@
 
 Redpanda Cloud supports multiple integration patterns for agents, pipelines, and external applications. Choose the pattern that matches your integration scenario.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/monitor-agents.adoc b/modules/ai-agents/pages/agents/monitor-agents.adoc
@@ -8,6 +8,8 @@
 
 Use monitoring to track agent performance, analyze conversation patterns, debug execution issues, and optimize token costs.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/pipeline-integration-patterns.adoc b/modules/ai-agents/pages/agents/pipeline-integration-patterns.adoc
@@ -8,6 +8,8 @@
 
 Build Redpanda Connect pipelines that invoke agents for automated, event-driven processing. Pipelines use the `a2a_message` processor to call agents for each event in a stream when you need AI reasoning, classification, or enrichment at scale.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/prompt-best-practices.adoc b/modules/ai-agents/pages/agents/prompt-best-practices.adoc
@@ -8,6 +8,8 @@
 
 Write system prompts that produce reliable, predictable agent behavior. Good prompts define scope, specify constraints, and guide tool usage.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 After reading this page, you will be able to:
 
 * [ ] {learning-objective-1}
diff --git a/modules/ai-agents/pages/agents/troubleshooting.adoc b/modules/ai-agents/pages/agents/troubleshooting.adoc
@@ -8,6 +8,8 @@
 
 Use this page to diagnose and fix common issues with AI agents, including deployment failures, runtime behavior problems, tool execution errors, and integration issues.
 
+include::ai-agents:partial$byoc-aws-requirement.adoc[]
+
 == Deployment issues
 
 Fix issues that prevent agents from connecting to required resources.
