remove dated info

Author: mythz

MyApp/_pages/ai-chat-api.md

@@ -405,40 +405,6 @@ class MyService(IChatClients clients)
 }
 ```
 
-## Persist AI Chat History
-
-By default AI Chat is designed to be minimally invasive and doesn't require anything other than the API Keys
-needed to access the AI Models it should use. 
-
-If preferred you can choose to persist AI Chat History made through the external ChatCompletion API with the
-`OnChatCompletionSuccessAsync` and `OnChatCompletionFailedAsync` callbacks which can be used to store successful
-and failed requests in your preferred data store using the included 
-[ChatCompletionLog](https://github.com/ServiceStack/ServiceStack/blob/main/ServiceStack/src/ServiceStack.AI.Chat/ChatCompletionLog.cs)
-or your own data model:
-
-```csharp
-public class ConfigureAiChat : IHostingStartup
-{
-    public void Configure(IWebHostBuilder builder) => builder
-        .ConfigureServices(services => {
-            services.AddPlugin(new ChatFeature
-            {
-                OnChatCompletionSuccessAsync = async (request, response, req) => {
-                    using var db = await req.Resolve<IDbConnectionFactory>().OpenAsync();
-                    await db.InsertAsync(req.ToChatCompletionLog(request, response));
-                },
-                OnChatCompletionFailedAsync = async (request, exception, req) => {
-                    using var db = await req.Resolve<IDbConnectionFactory>().OpenAsync();
-                    await db.InsertAsync(req.ToChatCompletionLog(request, exception));
-                },
-            });
-       }).ConfigureAppHost(appHost => {
-            using var db = appHost.Resolve<IDbConnectionFactory>().Open();
-            db.CreateTableIfNotExists<ChatCompletionLog>();
-       });
-}
-```
-
 ### Compatible with llms.py 
 
 The other benefit of simple configuration and simple solutions, is that they're easy to implement. A perfect example

MyApp/_pages/releases/v8_09.md

@@ -2631,40 +2631,6 @@ class MyService(IChatClients clients)
 }
 ```
 
-## Persist AI Chat History
-
-By default AI Chat is designed to be minimally invasive and doesn't require anything other than the API Keys
-needed to access the AI Models it should use. 
-
-If preferred you can choose to persist AI Chat History made through the external ChatCompletion API with the
-`OnChatCompletionSuccessAsync` and `OnChatCompletionFailedAsync` callbacks which can be used to store successful
-and failed requests in your preferred data store using the included 
-[ChatCompletionLog](https://github.com/ServiceStack/ServiceStack/blob/main/ServiceStack/src/ServiceStack.AI.Chat/ChatCompletionLog.cs)
-or your own data model:
-
-```csharp
-public class ConfigureAiChat : IHostingStartup
-{
-    public void Configure(IWebHostBuilder builder) => builder
-        .ConfigureServices(services => {
-            services.AddPlugin(new ChatFeature
-            {
-                OnChatCompletionSuccessAsync = async (request, response, req) => {
-                    using var db = await req.Resolve<IDbConnectionFactory>().OpenAsync();
-                    await db.InsertAsync(req.ToChatCompletionLog(request, response));
-                },
-                OnChatCompletionFailedAsync = async (request, exception, req) => {
-                    using var db = await req.Resolve<IDbConnectionFactory>().OpenAsync();
-                    await db.InsertAsync(req.ToChatCompletionLog(request, exception));
-                },
-            });
-       }).ConfigureAppHost(appHost => {
-            using var db = appHost.Resolve<IDbConnectionFactory>().Open();
-            db.CreateTableIfNotExists<ChatCompletionLog>();
-       });
-}
-```
-
 ### Compatible with llms.py 
 
 The other benefit of simple configuration and simple solutions, is that they're easy to implement. A perfect example