diff --git a/.dotnet/examples/Assistants/Example06_RetrievalAugmentedGenerationWithFileChunking.cs b/.dotnet/examples/Assistants/Example06_RetrievalAugmentedGenerationWithFileChunking.cs
new file mode 100644
index 000000000..ae72fa489
--- /dev/null
+++ b/.dotnet/examples/Assistants/Example06_RetrievalAugmentedGenerationWithFileChunking.cs
@@ -0,0 +1,147 @@
+using NUnit.Framework;
+using OpenAI;
+using OpenAI.Assistants;
+using OpenAI.Chat;
+using OpenAI.Files;
+using OpenAI.VectorStores;
+using System;
+using System.ClientModel;
+using System.Collections.Generic;
+using System.IO;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace OpenAI.Examples;
+
+public partial class AssistantExamples
+{
+    [Test]
+    public async Task Example01_RetrievalAugmentedGenerationWithFileChunking()
+    {
+        // Assistants is a beta API and subject to change; acknowledge its experimental status by suppressing the matching warning.
+#pragma warning disable OPENAI001
+        if (Environment.GetEnvironmentVariable("OPENAI_API_KEY") == null)
+        {
+            throw new InvalidOperationException("Please set the OPENAI_API_KEY environment variable.");
+        }
+        OpenAIClient openAIClient = new(Environment.GetEnvironmentVariable("OPENAI_API_KEY"));
+        FileClient fileClient = openAIClient.GetFileClient();
+        AssistantClient assistantClient = openAIClient.GetAssistantClient();
+
+        // First, let's contrive a document we'll use retrieval with and upload it.
+        using Stream document = BinaryData.FromString("""
+            {
+                "description": "This document contains the sale history data for Contoso products.",
+                "sales": [
+                    {
+                        "month": "January",
+                        "by_product": {
+                            "113043": 15,
+                            "113045": 12,
+                            "113049": 2
+                        }
+                    },
+                    {
+                        "month": "February",
+                        "by_product": {
+                            "113045": 22
+                        }
+                    },
+                    {
+                        "month": "March",
+                        "by_product": {
+                            "113045": 16,
+                            "113055": 5
+                        }
+                    }
+                ]
+            }
+            """).ToStream();
+
+        OpenAIFileInfo salesFile = fileClient.UploadFile(
+            document,
+            "monthly_sales.json",
+            FileUploadPurpose.Assistants);
+
+        VectorStoreClient vectorStoreClient = new();
+        // Set the chunk size to whatever you want
+        FileChunkingStrategy chunkingStrategy = FileChunkingStrategy.CreateStaticStrategy(100, 30);
+        // Now, we'll create a vector store with the file
+        VectorStore vectorStore = await vectorStoreClient.CreateVectorStoreAsync(new VectorStoreCreationOptions()
+        {
+            FileIds = { salesFile.Id },
+            ChunkingStrategy = chunkingStrategy,
+        });
+
+
+        // Now, we'll create a client intended to help with that data
+        AssistantCreationOptions assistantOptions = new()
+        {
+            Name = "Example: Contoso sales RAG",
+            Instructions =
+                "You are an assistant that looks up sales data and helps visualize the information based"
+                + " on user queries. When asked to generate a graph, chart, or other visualization, use"
+                + " the code interpreter tool to do so.",
+            Tools =
+            {
+                new FileSearchToolDefinition(),
+                new CodeInterpreterToolDefinition(),
+            },
+            ToolResources = new()
+            {
+                FileSearch = new()
+                {
+                    // Add the vector store to the assistant's resources
+                    VectorStoreIds = { vectorStore.Id },
+                }
+            },
+        };
+
+        Assistant assistant = assistantClient.CreateAssistant("gpt-4o-mini", assistantOptions);
+
+        // Now we'll create a thread with a user query about the data already associated with the assistant, then run it
+        ThreadCreationOptions threadOptions = new()
+        {
+            InitialMessages = { "How well did product 113045 sell in February? Graph its trend over time." }
+        };
+
+        AssistantThread thread = assistantClient.CreateThread(new ThreadCreationOptions()
+        {
+            InitialMessages =
+            {
+                new ThreadInitializationMessage(
+                    MessageRole.User,
+                [
+                    "How well did product 113045 sell in February? Graph its trend over time."
+                ]),
+            }
+        });
+
+        CollectionResult<StreamingUpdate> streamingUpdates = assistantClient.CreateRunStreaming(
+            thread,
+            assistant,
+            new RunCreationOptions()
+            {
+                AdditionalInstructions = "When possible, try to sneak in puns if you're asked to compare things.",
+            }
+        );
+
+
+        foreach (StreamingUpdate streamingUpdate in streamingUpdates)
+        {
+            if (streamingUpdate.UpdateKind == StreamingUpdateReason.RunCreated)
+            {
+                Console.WriteLine($"--- Run started! ---");
+            }
+            if (streamingUpdate is MessageContentUpdate contentUpdate)
+            {
+                Console.Write(contentUpdate.Text);
+            }
+        }
+
+        // Optionally, delete any persistent resources you no longer need.
+        _ = assistantClient.DeleteThread(thread.Id);
+        _ = assistantClient.DeleteAssistant(assistant);
+        _ = fileClient.DeleteFile(salesFile);
+    }
+}
diff --git a/.dotnet/examples/Chat/Example02_SimpleChatStreamingWithTokens.cs b/.dotnet/examples/Chat/Example02_SimpleChatStreamingWithTokens.cs
new file mode 100644
index 000000000..3a1cdaefb
--- /dev/null
+++ b/.dotnet/examples/Chat/Example02_SimpleChatStreamingWithTokens.cs
@@ -0,0 +1,38 @@
+using NUnit.Framework;
+using OpenAI.Chat;
+using System;
+using System.ClientModel;
+
+namespace OpenAI.Examples;
+
+public partial class ChatExamples
+{
+    [Test]
+    public void Example02_SimpleChatStreamingWithTokens()
+    {
+        ChatClient client = new(model: "gpt-4o-mini", Environment.GetEnvironmentVariable("OPENAI_API_KEY"));
+
+        CollectionResult<StreamingChatCompletionUpdate> updates
+            = client.CompleteChatStreaming("Say 'this is a test.'");
+
+        Console.WriteLine($"[ASSISTANT]:");
+        foreach (StreamingChatCompletionUpdate update in updates)
+        {
+            foreach (ChatMessageContentPart updatePart in update.ContentUpdate)
+            {
+                Console.Write(updatePart);
+            }
+
+            // Dotnet library sets 'include_usage' to true by default
+            // update.Usage will be null until the end
+            if (update.Usage != null)
+            {
+                //Write a new line to end the chat updates
+                Console.WriteLine();
+                Console.WriteLine($"usage InputTokens = {update.Usage.InputTokens}");
+                Console.WriteLine($"usage OutputTokens = {update.Usage.OutputTokens}");
+                Console.WriteLine($"usage TotalTokens = {update.Usage.TotalTokens}");
+            }
+        }
+    }
+}