Merge pull request #5411 from samuel100/samuel100/sdk-add-languages

init additions on rust and c# sdks

Author: v-ccolin

articles/ai-foundry/foundry-local/how-to/how-to-integrate-with-inference-sdks.md

@@ -28,6 +28,12 @@ Foundry Local integrates with various inferencing SDKs - such as OpenAI, Azure O
 ::: zone pivot="programming-language-javascript"
 [!INCLUDE [JavaScript](../includes/integrate-examples/javascript.md)]
 ::: zone-end
+::: zone pivot="programming-language-csharp"
+[!INCLUDE [JavaScript](../includes/integrate-examples/csharp.md)]
+::: zone-end
+::: zone pivot="programming-language-rust"
+[!INCLUDE [JavaScript](../includes/integrate-examples/rust.md)]
+::: zone-end
 
 ## Next steps
 

articles/ai-foundry/foundry-local/how-to/how-to-use-langchain-with-foundry-local.md

@@ -11,7 +11,7 @@ ms.reviewer: eneros
 ms.author: eneros
 author: eneros
 ms.custom: build-2025
-zone_pivot_groups: foundry-local-sdk
+zone_pivot_groups: foundry-local-langchain
 #customer intent: As a developer, I want to get started with Foundry Local so that I can run AI models locally.
 ---
 

articles/ai-foundry/foundry-local/includes/integrate-examples/csharp.md

@@ -0,0 +1,70 @@
+---
+ms.service: azure-ai-foundry
+ms.topic: include
+ms.date: 05/02/2025
+ms.author: samkemp
+author: samuel100
+---
+
+## Create project
+
+Create a new C# project and navigate into it:
+
+```bash
+dotnet new console -n hello-foundry-local
+cd hello-foundry-local
+```
+
+### Install NuGet Packages
+
+Install the following NuGet packages into your project folder:
+
+```bash
+dotnet add package Microsoft.AI.Foundry.Local --version 0.1.0
+dotnet add package OpenAI --version 2.2.0-beta.4
+```
+
+## Use OpenAI SDK with Foundry Local
+
+The following example demonstrates how to use the OpenAI SDK with Foundry Local. The code initializes the Foundry Local service, loads a model, and generates a response using the OpenAI SDK.
+
+Copy-and-paste the following code into a C# file named `Program.cs`:
+
+```csharp
+using Microsoft.AI.Foundry.Local;
+using OpenAI;
+using OpenAI.Chat;
+using System.ClientModel;
+using System.Diagnostics.Metrics;
+
+var alias = "phi-3.5-mini";
+
+var manager = await FoundryLocalManager.StartModelAsync(aliasOrModelId: alias);
+
+var model = await manager.GetModelInfoAsync(aliasOrModelId: alias);
+ApiKeyCredential key = new ApiKeyCredential(manager.ApiKey);
+OpenAIClient client = new OpenAIClient(key, new OpenAIClientOptions
+{
+    Endpoint = manager.Endpoint
+});
+
+var chatClient = client.GetChatClient(model?.ModelId);
+
+var completionUpdates = chatClient.CompleteChatStreaming("Why is the sky blue'");
+
+Console.Write($"[ASSISTANT]: ");
+foreach (var completionUpdate in completionUpdates)
+{
+    if (completionUpdate.ContentUpdate.Count > 0)
+    {
+        Console.Write(completionUpdate.ContentUpdate[0].Text);
+    }
+}
+```
+
+Run the code using the following command:
+
+```bash
+dotnet run
+```
+

articles/ai-foundry/foundry-local/includes/integrate-examples/rust.md

@@ -0,0 +1,72 @@
+---
+ms.service: azure-ai-foundry
+ms.topic: include
+ms.date: 05/02/2025
+ms.author: samkemp
+author: samuel100
+---
+
+## Create project
+
+Create a new Rust project and navigate into it:
+
+```bash
+cargo new hello-foundry-local
+cd hello-foundry-local
+```
+
+### Install crates
+
+Install the following Rust crates using Cargo:
+
+```bash
+cargo add foundry-local anyhow env_logger serde_json
+cargo add reqwest --features json
+cargo add tokio --features full
+```
+
+## Update the `main.rs` file
+
+The following example demonstrates how to inference using a request to the Foundry Local service. The code initializes the Foundry Local service, loads a model, and generates a response using the `reqwest` library.
+
+Copy-and-paste the following code into the Rust file named `main.rs`:
+
+```rust
+use foundry_local::FoundryLocalManager;
+use anyhow::Result;
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    // Create a FoundryLocalManager instance with default options
+    let mut manager = FoundryLocalManager::builder()
+        .alias_or_model_id("qwen2.5-0.5b") // Specify the model to use   
+        .bootstrap(true) // Start the service if not running
+        .build()
+        .await?;
+    
+    // Use the OpenAI compatible API to interact with the model
+    let client = reqwest::Client::new();
+    let endpoint = manager.endpoint()?;
+    let response = client.post(format!("{}/chat/completions", endpoint))
+        .header("Content-Type", "application/json")
+        .header("Authorization", format!("Bearer {}", manager.api_key()))
+        .json(&serde_json::json!({
+            "model": manager.get_model_info("qwen2.5-0.5b", true).await?.id,
+            "messages": [{"role": "user", "content": "What is the golden ratio?"}],
+        }))
+        .send()
+        .await?;
+
+    let result = response.json::<serde_json::Value>().await?;
+    println!("{}", result["choices"][0]["message"]["content"]);
+    
+    Ok(())
+}
+```
+
+Run the code using the following command:
+
+```bash
+cargo run
+```
+