feat(ai-gateway): AI Gateway, A2A, and MCP landing pages review

app/_landing_pages/ai-gateway.yaml

@@ -6,6 +6,8 @@ metadata:
     - ai-gateway
   works_on:
     - konnect
+  min_version:
+    ai-gateway: '2.0'
   tags:
     - ai
 
@@ -130,7 +132,7 @@ rows:
             description: Secure Claude with single sign-on authentication through {{site.ai_gateway}}.
             icon: /assets/icons/security.svg
             cta:
-              url: /cookbooks/claude-sso/
+              url: /cookbooks/claude-code-sso/
               align: end
       - blocks:
         - type: card
@@ -178,8 +180,6 @@ rows:
                 - type: unordered_list
                   items:
                     - "[{{site.ai_gateway}} resource sizing guidelines](/ai-gateway/resource-sizing-guidelines-ai/): Review recommended resource allocation guidelines for {{site.ai_gateway}}."
-                    - "[Deployment topologies](/gateway/deployment-topologies/): Learn about the different ways to deploy {{ site.base_gateway }}."
-                    - "[Hosting options](/gateway/topology-hosting-options/): Decide where you want to host your Data Plane nodes, and whether you want Kong to host them or host them yourself."
 
   - header:
       type: h2
@@ -246,7 +246,7 @@ rows:
       type: h2
       text: "Govern {{site.ai_gateway}} with entities and policies"
       description: |
-        Enforce authentication, rate limiting, guardrails, transformations, and governance by attaching AI Policies to your AI entities. Create Models, Providers, Agents, and MCP Servers to manage your AI traffic.
+        Enforce authentication, rate limiting, guardrails, transformations, and governance by attaching AI Policies to your AI entities. Create AI Models, AI Providers, AI Agents, and AI MCP Servers to manage your AI traffic.
     column_count: 3
     columns:
       - blocks:
@@ -408,7 +408,6 @@ rows:
         {{site.ai_gateway}} allows you to use AI technology to augment other API traffic.
         One example is routing API responses through an AI language translation prompt before returning it to the client.
         {{site.ai_gateway}} provides two policies that can be used in conjunction with other upstream API services to weave AI capabilities into API request processing.
-        These policies can be configured independently of AI Proxy.
     columns:
       - blocks:
         - type: aigw_policy
@@ -478,7 +477,6 @@ rows:
       description: |
         The {{site.ai_gateway}} helps reduce LLM usage costs by giving you control over how prompts are built and routed.
         You can compress and structure prompts efficiently using AI Compressor, RAG Injector, and AI Prompt Decorator policies.
-        For further savings, you can use AI Proxy Advanced to route requests across OpenAI models based on semantic similarity.
     columns:
       - blocks:
         - type: aigw_policy
@@ -493,15 +491,15 @@ rows:
             cta:
               url: /metering-and-billing/
               align: end
-      #- blocks:
-      #  - type: card
-      #    config:
-      #      title: Save LLM usage costs with semantic load balancing
-      #      description: Use semantic load balancing to optimize LLM usage and reduce costs by intelligently routing chat requests across multiple OpenAI models based on semantic similarity.
-      #      icon: /assets/icons/money.svg
-      #      cta:
-      #        url: /how-to/use-semantic-load-balancing
-      #        align: end
+      # - blocks:
+      #   - type: card
+      #     config:
+      #       title: Save LLM usage costs with semantic load balancing
+      #       description: Use semantic load balancing to optimize LLM usage and reduce costs by intelligently routing chat requests across multiple OpenAI models based on semantic similarity.
+      #       icon: /assets/icons/money.svg
+      #       cta:
+      #         url: /how-to/use-semantic-load-balancing
+      #         align: end
   - header:
       type: h2
       text: "Observability and metrics"
@@ -565,9 +563,9 @@ rows:
       - blocks:
         - type: faqs
           config:
-            - q: Is {{site.ai_gateway}} available for all deployment modes?
+            - q: How do I deploy {{site.ai_gateway}}?
               a: |
-                {{site.ai_gateway}} capabilities (AI, MCP, and A2A traffic management) are available across [deployment modes](/gateway/deployment-topologies/), including {{site.konnect_short_name}}, self-hosted traditional, hybrid, and DB-less, and on Kubernetes via the [{{site.kic_product_name}}](/kubernetes-ingress-controller/).
+                {{site.ai_gateway}} is managed through {{site.konnect_short_name}}. Data plane nodes run in your environment (self-hosted, cloud, or Kubernetes) and connect to {{site.konnect_short_name}} for configuration and observability.
 
             - q: Why should I use {{site.ai_gateway}} instead of adding the LLM's API behind {{site.base_gateway}}?
               a: |

app/_landing_pages/ai-gateway/a2a.yaml

@@ -6,6 +6,8 @@ metadata:
     - ai-gateway
   works_on:
     - konnect
+  min_version:
+    ai-gateway: '2.0'
   tags:
     - ai
     - a2a
@@ -67,8 +69,8 @@ rows:
           - type: card
             config:
               icon: /assets/icons/lock.svg
-              title: Secure and govern with Policies
-              description: Secure A2A agents and control access with Policies.
+              title: Secure and govern with AI Policies
+              description: Secure A2A agents and control access with AI Policies.
               ctas:
                 - text: OpenID Connect
                   url: "/ai-gateway/policies/openid-connect/"

app/_landing_pages/ai-gateway/mcp.yaml

@@ -6,6 +6,8 @@ metadata:
     - ai-gateway
   works_on:
     - konnect
+  min_version:
+    ai-gateway: '2.0'
   breadcrumbs:
     - /ai-gateway/
   tags:
@@ -66,18 +68,18 @@ rows:
                     Attach [AI Policies](/ai-gateway/entities/ai-policy/) to your [AI MCP Server](/ai-gateway/entities/ai-mcp-server/) entities to apply security, governance, and observability controls across your MCP infrastructure.
 
                     Use AI Policies to:
-                    - Secure access with the MCP OAuth2 policy or other authentication methods
+                    - Secure access with the MCP OAuth2 AI Policy or other authentication methods
                     - Monitor MCP traffic using AI metrics and AI audit logs
                     - Enforce access controls for MCP tool usage
-                    - Govern usage with rate limiting and traffic control policies
+                    - Govern usage with rate limiting and traffic control
           - type: card
             config:
               icon: /assets/icons/lock.svg
-              title: Security and governance with Policies
+              title: Security and governance with AI Policies
               description: Secure MCP servers and govern traffic with AI Policies.
               ctas:
                 - text: MCP OAuth2 policy
-                  url: "/ai-gateway/entities/ai-policy/"
+                  url: "/ai-gateway/policies/ai-mcp-oauth2/"
                 - text: Rate Limiting
                   url: "/ai-gateway/policies/rate-limiting/"
                 - text: Observability