diff --git a/BotSharp.Core/BotSharp.Core.csproj b/BotSharp.Core/BotSharp.Core.csproj
index 0e69260c..b73445d2 100644
--- a/BotSharp.Core/BotSharp.Core.csproj
+++ b/BotSharp.Core/BotSharp.Core.csproj
@@ -13,18 +13,23 @@
     <Authors>Haiping Chen</Authors>
     <Company />
     <Product>BotSharp.Core</Product>
-    <Description>Upgrade .Net Core to 2.1</Description>
+    <Description>Open source chatbot platform written in C#. Ready for enterprise.</Description>
     <RepositoryType>MIT</RepositoryType>
     <RepositoryUrl>https://github.com/Oceania2018/BotSharp</RepositoryUrl>
     <PackageTags>NLU, Chatbot, Bot, AI Bot</PackageTags>
-    <Version>1.2.0</Version>
-    <PackageReleaseNotes>Support Rasa NLU 0.12.x</PackageReleaseNotes>
+    <Version>1.3.0</Version>
+    <PackageReleaseNotes>Add NLP pipeline. Support training model by input context.</PackageReleaseNotes>
     <Copyright>Since 2018 Haiping Chen</Copyright>
     <PackageProjectUrl>https://github.com/Oceania2018/BotSharp</PackageProjectUrl>
+    <AssemblyVersion>1.3.0.0</AssemblyVersion>
   </PropertyGroup>
 
   <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
-    <DefineConstants>TRACE;DEBUG;MODEL_PER_CONTEXTS</DefineConstants>
+    <DefineConstants>TRACE;MODEL_PER_CONTEXTS;NETCOREAPP;NETCOREAPP2_1</DefineConstants>
+  </PropertyGroup>
+
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
+    <DefineConstants>TRACE;MODEL_PER_CONTEXTS</DefineConstants>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/BotSharp.Core/Engines/RequestExtension.cs b/BotSharp.Core/Engines/RequestExtension.cs
index b271f9ea..f65c6edc 100644
--- a/BotSharp.Core/Engines/RequestExtension.cs
+++ b/BotSharp.Core/Engines/RequestExtension.cs
@@ -36,6 +36,8 @@ namespace BotSharp.Core.Engines
 #else
             var result = CallRasa(rasa.agent.Id, request.Query.First(), rasa.agent.Id);
 #endif
+            result.Content.Log();
+
             RasaResponse response = result.Data;
             aiResponse.Id = Guid.NewGuid().ToString();
             aiResponse.Lang = rasa.agent.Language;