Add HTTP client config, update settings, and add package

- Added HTTP client defaults configuration in Program.cs.
- Adjusted OpenAPI configuration order in Program.cs.
- Changed MaxTokensPerParagraph in AppSettings.cs to 1000.
- Added Microsoft.Extensions.Http.Resilience package in SqlDatabaseVectorSearch.csproj.
- Reordered and added ModelId properties in appsettings.json.

SqlDatabaseVectorSearch/Program.cs

@@ -34,6 +34,11 @@ builder.Services.AddHybridCache(options =>
     };
 });
 
+builder.Services.ConfigureHttpClientDefaults(builder =>
+{
+    builder.AddStandardResilienceHandler();
+});
+
 // Semantic Kernel is used to generate embeddings and to reformulate questions taking into account all the previous interactions,
 // so that embeddings themselves can be generated more accurately.
 builder.Services.AddKernel()
@@ -46,8 +51,8 @@ builder.Services.AddScoped<VectorSearchService>();
 
 builder.Services.AddOpenApi(options =>
 {
-    options.AddDefaultResponse();
     options.RemoveServerList();
+    options.AddDefaultResponse();
 });
 
 builder.Services.AddDefaultProblemDetails();

SqlDatabaseVectorSearch/Settings/AppSettings.cs

@@ -4,7 +4,7 @@ public class AppSettings
 {
     public int MaxTokensPerLine { get; init; } = 300;
 
-    public int MaxTokensPerParagraph { get; init; } = 1024;
+    public int MaxTokensPerParagraph { get; init; } = 1000;
 
     public int OverlapTokens { get; init; } = 100;
 

SqlDatabaseVectorSearch/SqlDatabaseVectorSearch.csproj

@@ -13,6 +13,7 @@
         <PackageReference Include="Microsoft.AspNetCore.OpenApi" Version="9.0.1" />
         <PackageReference Include="Microsoft.EntityFrameworkCore.SqlServer" Version="9.0.1" />
         <PackageReference Include="Microsoft.Extensions.Caching.Hybrid" Version="9.1.0-preview.1.25064.3" />
+        <PackageReference Include="Microsoft.Extensions.Http.Resilience" Version="9.1.0" />
         <PackageReference Include="Microsoft.ML.Tokenizers" Version="1.0.1" />
         <PackageReference Include="Microsoft.ML.Tokenizers.Data.Cl100kBase" Version="1.0.1" />
         <PackageReference Include="Microsoft.ML.Tokenizers.Data.O200kBase" Version="1.0.1" />

SqlDatabaseVectorSearch/appsettings.json

@@ -6,14 +6,14 @@
         "ChatCompletion": {
             "Endpoint": "",
             "Deployment": "",
-            "ApiKey": "",
-            "ModelId": "" // o1, gpt-4o, gpt-4, gpt-3.5 
+            "ModelId": "", // o1, gpt-4o, gpt-4, gpt-3.5 
+            "ApiKey": ""
         },
         "Embedding": {
             "Endpoint": "",
             "Deployment": "",
+            "ModelId": "", // text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002
             "ApiKey": "",
-            "ModelId": "",
             // Set this value only if you're using a model that allows to specify the dimensions of the embeddings
             // (e.g. text-embedding-3-small or text-embedding-3-large). Currently, a maximum value of 1998 is supported.
             "Dimensions": null