Remove third party libraries

README.md

@@ -139,6 +139,7 @@ The Foundry Local SDK makes it easy to integrate local AI models into your appli
 2. Use the SDK in your application as follows:
     ```csharp
     using Microsoft.AI.Foundry.Local;
+    using Microsoft.AI.Foundry.Local.OpenAI;
 
     var config = new Configuration { AppName = "foundry_local_samples" };
     await FoundryLocalManager.CreateAsync(config);
@@ -154,7 +155,7 @@ The Foundry Local SDK makes it easy to integrate local AI models into your appli
     var chatClient = await model.GetChatClientAsync();
     var messages = new List<ChatMessage> 
     { 
-        new() { Role = "user", Content = "What is the golden ratio?" } 
+        new() { Role = ChatMessageRole.User, Content = "What is the golden ratio?" } 
     };
 
     await foreach (var chunk in chatClient.CompleteChatStreamingAsync(messages))

samples/cs/Directory.Packages.props

@@ -6,8 +6,7 @@
   </PropertyGroup>
   <ItemGroup>
     <PackageVersion Include="Microsoft.AI.Foundry.Local" Version="0.9.0-dev" />
-    <PackageVersion Include="Microsoft.AI.Foundry.Local.WinML" Version="0.9.0-dev-20260324" />
-    <PackageVersion Include="Betalgo.Ranul.OpenAI" Version="9.1.1" />
+    <PackageVersion Include="Microsoft.AI.Foundry.Local.WinML" Version="0.9.0-dev" />
     <PackageVersion Include="Microsoft.Extensions.Logging" Version="9.0.10" />
     <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="9.0.10" />
     <PackageVersion Include="NAudio" Version="2.2.1" />

samples/cs/model-management-example/Program.cs

@@ -1,5 +1,5 @@
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using System.Diagnostics;
 
 CancellationToken ct = new CancellationToken();
@@ -112,7 +112,7 @@
 // Create a chat message
 List<ChatMessage> messages = new()
 {
-    new ChatMessage { Role = "user", Content = "Why is the sky blue?" }
+    new ChatMessage { Role = ChatMessageRole.User, Content = "Why is the sky blue?" }
 };
 
 // You can adjust settings on the chat client
@@ -123,7 +123,7 @@
 var streamingResponse = chatClient.CompleteChatStreamingAsync(messages, ct);
 await foreach (var chunk in streamingResponse)
 {
     Console.Write(chunk.Choices[0].Message.Content);
     Console.Out.Flush();
 }
 Console.WriteLine();

samples/cs/native-chat-completions/Program.cs

@@ -1,7 +1,7 @@
-// <complete_code>
+// <complete_code>
 // <imports>
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 // </imports>
 
 // <init>
@@ -90,7 +90,7 @@
 // Create a chat message
 List<ChatMessage> messages = new()
 {
-    new ChatMessage { Role = "user", Content = "Why is the sky blue?" }
+    new ChatMessage { Role = ChatMessageRole.User, Content = "Why is the sky blue?" }
 };
 
 // Get a streaming chat completion response
@@ -98,7 +98,7 @@
 var streamingResponse = chatClient.CompleteChatStreamingAsync(messages, ct);
 await foreach (var chunk in streamingResponse)
 {
     Console.Write(chunk.Choices[0].Message.Content);
     Console.Out.Flush();
 }
 Console.WriteLine();

samples/cs/tool-calling-foundry-local-sdk/Program.cs

@@ -1,9 +1,7 @@
-// <complete_code>
+// <complete_code>
 // <imports>
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
-using Betalgo.Ranul.OpenAI.ObjectModels.ResponseModels;
-using Betalgo.Ranul.OpenAI.ObjectModels.SharedModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using System.Text.Json;
 // </imports>
 
@@ -59,14 +57,14 @@
 
 // Get a chat client
 var chatClient = await model.GetChatClientAsync();
-chatClient.Settings.ToolChoice = ToolChoice.Required; // Force the model to make a tool call
+chatClient.Settings.ToolChoice = ToolChoice.CreateRequiredChoice(); // Force the model to make a tool call
 
 
 // Prepare messages
 List<ChatMessage> messages =
 [
-    new ChatMessage { Role = "system", Content = "You are a helpful AI assistant. If necessary, you can use any provided tools to answer the question." },
-    new ChatMessage { Role = "user", Content = "What is the answer to 7 multiplied by 6?" }
+    new ChatMessage { Role = ChatMessageRole.System, Content = "You are a helpful AI assistant. If necessary, you can use any provided tools to answer the question." },
+    new ChatMessage { Role = ChatMessageRole.User, Content = "What is the answer to 7 multiplied by 6?" }
 ];
 
 
@@ -76,7 +74,7 @@
 [
     new ToolDefinition
     {
-        Type = "function",
+        Type = ToolType.Function,
         Function = new FunctionDefinition()
         {
             Name = "multiply_numbers",
@@ -99,16 +97,16 @@
 
 // <tool_loop>
 // Get a streaming chat completion response
-var toolCallResponses = new List<ChatCompletionCreateResponse>();
+var toolCallResponses = new List<ChatCompletionResponse>();
 Console.WriteLine("Chat completion response:");
 var streamingResponse = chatClient.CompleteChatStreamingAsync(messages, tools, ct);
 await foreach (var chunk in streamingResponse)
 {
     var content = chunk.Choices[0].Message.Content;
     Console.Write(content);
     Console.Out.Flush();
 
-    if (chunk.Choices[0].FinishReason == "tool_calls")
+    if (chunk.Choices[0].FinishReason == FinishReason.ToolCalls)
     {
         toolCallResponses.Add(chunk);
     }
@@ -119,7 +117,7 @@
 // Invoke tools called and append responses to the chat
 foreach (var chunk in toolCallResponses)
 {
-    var call = chunk?.Choices[0].Message.ToolCalls?[0].FunctionCall;
+    var call = chunk?.Choices[0].Message.ToolCalls?[0].Function;
     if (call?.Name == "multiply_numbers")
     {
         var arguments = JsonSerializer.Deserialize<Dictionary<string, int>>(call.Arguments!)!;
@@ -132,7 +130,7 @@
 
         var response = new ChatMessage
         {
-            Role = "tool",
+            Role = ChatMessageRole.Tool,
             Content = result.ToString(),
         };
         messages.Add(response);
@@ -142,12 +140,12 @@
 
 
 // Prompt the model to continue the conversation after the tool call
-messages.Add(new ChatMessage { Role = "system", Content = "Respond only with the answer generated by the tool." });
+messages.Add(new ChatMessage { Role = ChatMessageRole.System, Content = "Respond only with the answer generated by the tool." });
 
 
 // Set tool calling back to auto so that the model can decide whether to call
 // the tool again or continue the conversation based on the new user prompt
-chatClient.Settings.ToolChoice = ToolChoice.Auto;
+chatClient.Settings.ToolChoice = ToolChoice.CreateAutoChoice();
 
 
 // Run the next turn of the conversation

samples/cs/tool-calling-foundry-local-web-server/Program.cs

@@ -1,4 +1,4 @@
-// <complete_code>
+// <complete_code>
 using Microsoft.AI.Foundry.Local;
 using OpenAI;
 using OpenAI.Chat;

samples/cs/tutorial-chat-assistant/Program.cs

@@ -1,7 +1,7 @@
 // <complete_code>
 // <imports>
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using Microsoft.Extensions.Logging;
 // </imports>
 
@@ -48,7 +48,7 @@ await model.DownloadAsync(progress =>
 {
     new ChatMessage
     {
-        Role = "system",
+        Role = ChatMessageRole.System,
         Content = "You are a helpful, friendly assistant. Keep your responses " +
                   "concise and conversational. If you don't know something, say so."
     }
@@ -70,7 +70,7 @@ await model.DownloadAsync(progress =>
     }
 
     // Add the user's message to conversation history
-    messages.Add(new ChatMessage { Role = "user", Content = userInput });
+    messages.Add(new ChatMessage { Role = ChatMessageRole.User, Content = userInput });
 
     // <streaming>
     // Stream the response token by token
@@ -91,7 +91,7 @@ await model.DownloadAsync(progress =>
     // </streaming>
 
     // Add the complete response to conversation history
-    messages.Add(new ChatMessage { Role = "assistant", Content = fullResponse });
+    messages.Add(new ChatMessage { Role = ChatMessageRole.Assistant, Content = fullResponse });
 }
 // </conversation_loop>
 

samples/cs/tutorial-chat-assistant/TutorialChatAssistant.csproj

@@ -42,7 +42,6 @@
 
   <!-- Packages -->
   <ItemGroup>
-    <PackageReference Include="Betalgo.Ranul.OpenAI" />
     <PackageReference Include="Microsoft.Extensions.Logging" />
     <PackageReference Include="Microsoft.Extensions.Logging.Console" />
   </ItemGroup>

samples/cs/tutorial-document-summarizer/Program.cs

@@ -1,7 +1,7 @@
 // <complete_code>
 // <imports>
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using Microsoft.Extensions.Logging;
 // </imports>
 
@@ -75,8 +75,8 @@ async Task SummarizeFileAsync(
     var fileContent = await File.ReadAllTextAsync(filePath, token);
     var messages = new List<ChatMessage>
     {
-        new ChatMessage { Role = "system", Content = prompt },
-        new ChatMessage { Role = "user", Content = fileContent }
+        new ChatMessage { Role = ChatMessageRole.System, Content = prompt },
+        new ChatMessage { Role = ChatMessageRole.User, Content = fileContent }
     };
 
     var response = await client.CompleteChatAsync(messages, token);

samples/cs/tutorial-document-summarizer/TutorialDocumentSummarizer.csproj

@@ -42,7 +42,6 @@
 
   <!-- Packages -->
   <ItemGroup>
-    <PackageReference Include="Betalgo.Ranul.OpenAI" />
     <PackageReference Include="Microsoft.Extensions.Logging" />
     <PackageReference Include="Microsoft.Extensions.Logging.Console" />
   </ItemGroup>

samples/cs/tutorial-tool-calling/Program.cs

@@ -2,9 +2,7 @@
 // <imports>
 using System.Text.Json;
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
-using Betalgo.Ranul.OpenAI.ObjectModels.ResponseModels;
-using Betalgo.Ranul.OpenAI.ObjectModels.SharedModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using Microsoft.Extensions.Logging;
 // </imports>
 
@@ -16,7 +14,7 @@
 [
     new ToolDefinition
     {
-        Type = "function",
+        Type = ToolType.Function,
         Function = new FunctionDefinition()
         {
             Name = "get_weather",
@@ -35,7 +33,7 @@
     },
     new ToolDefinition
     {
-        Type = "function",
+        Type = ToolType.Function,
         Function = new FunctionDefinition()
         {
             Name = "calculate",
@@ -136,13 +134,13 @@
 Console.WriteLine("Model loaded and ready.");
 
 var chatClient = await model.GetChatClientAsync();
-chatClient.Settings.ToolChoice = ToolChoice.Auto;
+chatClient.Settings.ToolChoice = ToolChoice.CreateAutoChoice();
 
 var messages = new List<ChatMessage>
 {
     new ChatMessage
     {
-        Role = "system",
+        Role = ChatMessageRole.System,
         Content = "You are a helpful assistant with access to tools. " +
                   "Use them when needed to answer questions accurately."
     }
@@ -165,7 +163,7 @@
 
     messages.Add(new ChatMessage
     {
-        Role = "user",
+        Role = ChatMessageRole.User,
         Content = userInput
     });
 
@@ -173,27 +171,27 @@
         messages, tools, ct
     );
 
     var choice = response.Choices[0].Message;
 
     if (choice.ToolCalls is { Count: > 0 })
     {
         messages.Add(choice);
 
         foreach (var toolCall in choice.ToolCalls)
         {
             var toolArgs = JsonDocument.Parse(
-                toolCall.FunctionCall.Arguments
+                toolCall.Function.Arguments
             ).RootElement;
             Console.WriteLine(
-                $"  Tool call: {toolCall.FunctionCall.Name}({toolArgs})"
+                $"  Tool call: {toolCall.Function.Name}({toolArgs})"
             );
 
             var result = ExecuteTool(
-                toolCall.FunctionCall.Name, toolArgs
+                toolCall.Function.Name, toolArgs
             );
             messages.Add(new ChatMessage
             {
-                Role = "tool",
+                Role = ChatMessageRole.Tool,
                 ToolCallId = toolCall.Id,
                 Content = result
             });
@@ -202,10 +200,10 @@
         var finalResponse = await chatClient.CompleteChatAsync(
             messages, tools, ct
         );
         var answer = finalResponse.Choices[0].Message.Content ?? "";
         messages.Add(new ChatMessage
         {
-            Role = "assistant",
+            Role = ChatMessageRole.Assistant,
             Content = answer
         });
         Console.WriteLine($"Assistant: {answer}\n");
@@ -215,7 +213,7 @@
         var answer = choice.Content ?? "";
         messages.Add(new ChatMessage
         {
-            Role = "assistant",
+            Role = ChatMessageRole.Assistant,
             Content = answer
         });
         Console.WriteLine($"Assistant: {answer}\n");

samples/cs/tutorial-tool-calling/TutorialToolCalling.csproj

@@ -42,7 +42,6 @@
 
   <!-- Packages -->
   <ItemGroup>
-    <PackageReference Include="Betalgo.Ranul.OpenAI" />
     <PackageReference Include="Microsoft.Extensions.Logging" />
     <PackageReference Include="Microsoft.Extensions.Logging.Console" />
   </ItemGroup>

samples/cs/tutorial-voice-to-text/Program.cs

@@ -1,7 +1,7 @@
 // <complete_code>
 // <imports>
 using Microsoft.AI.Foundry.Local;
-using Betalgo.Ranul.OpenAI.ObjectModels.RequestModels;
+using Microsoft.AI.Foundry.Local.OpenAI;
 using Microsoft.Extensions.Logging;
 using System.Text;
 // </imports>
@@ -81,14 +81,14 @@ await chatModel.DownloadAsync(progress =>
 {
     new ChatMessage
     {
-        Role = "system",
+        Role = ChatMessageRole.System,
         Content = "You are a note-taking assistant. Summarize " +
                   "the following transcription into organized, " +
                   "concise notes with bullet points."
     },
     new ChatMessage
     {
-        Role = "user",
+        Role = ChatMessageRole.User,
         Content = transcriptionText.ToString()
     }
 };

samples/cs/tutorial-voice-to-text/TutorialVoiceToText.csproj

@@ -42,7 +42,6 @@
 
   <!-- Packages -->
   <ItemGroup>
-    <PackageReference Include="Betalgo.Ranul.OpenAI" />
     <PackageReference Include="Microsoft.Extensions.Logging" />
     <PackageReference Include="Microsoft.Extensions.Logging.Console" />
   </ItemGroup>

samples/rust/tool-calling-foundry-local/src/main.rs

@@ -189,7 +189,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
         messages.push(assistant_msg);
         messages.push(
             ChatCompletionRequestToolMessage {
-                content: result.into(),
+                content: result,
                 tool_call_id: tc["id"].as_str().unwrap_or_default().to_string(),
             }
             .into(),

samples/rust/tutorial-tool-calling/src/main.rs

@@ -294,7 +294,7 @@ async fn main() -> anyhow::Result<()> {
                     execute_tool(function_name, &arguments);
                 messages.push(
                     ChatCompletionRequestToolMessage {
-                        content: result.to_string().into(),
+                        content: result.to_string(),
                         tool_call_id: tool_call.id.clone(),
                     }
                     .into(),