✨ Update Index.razor file content

ajaysskumar · ajaysskumar · commit b5b1d1ae3e87 · 2026-03-02T01:23:16.000+05:30
- Modified the content of Index.razor to enhance functionality.
- Improved integration with AWS SDK for Bedrock services.
- Ensured compatibility with existing components and services.

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diff --git a/TestArena/Blog/AI/Bedrock/Index.razor b/TestArena/Blog/AI/Bedrock/Index.razor
@@ -112,24 +112,47 @@ BasicAWSCredentials GetBasicCredentials()
                 </CalloutBox>
             </Section>
 
-            <Section Heading="Method 3: EC2 Instance Profile Role (Production on EC2)" Level="6">
+            <Section Heading="Method 3: AWS Credentials File (~/.aws/credentials)" Level="6">
                 <p>
-                    This is the <b>recommended approach for production applications running on EC2</b>. The SDK automatically retrieves credentials from the instance metadata without any code changes.
+                    The most convenient approach for <b>local development</b> is the AWS shared credentials file. When you run <code>aws configure</code>, the CLI writes your credentials to <code>~/.aws/credentials</code>. The AWS SDK for .NET automatically reads from this file through its default credential resolution chain—no extra code required.
                 </p>
-                <CodeSnippet Language="csharp" Number="4">
-// No credentials needed! The SDK automatically uses the EC2 instance role.
+                <CodeSnippet Language="ini">
+# ~/.aws/credentials
+[default]
+aws_access_key_id     = YOUR_ACCESS_KEY_ID
+aws_secret_access_key = YOUR_SECRET_ACCESS_KEY
+
+[bedrock-dev]
+aws_access_key_id     = YOUR_DEV_ACCESS_KEY_ID
+aws_secret_access_key = YOUR_DEV_SECRET_ACCESS_KEY
+                </CodeSnippet>
+                <p>To use the <code>default</code> profile, simply instantiate the client without passing credentials—the SDK picks it up automatically:</p>
+                <CodeSnippet Language="csharp">
+// SDK automatically resolves credentials from ~/.aws/credentials [default] profile
 var bedrockClient = new AmazonBedrockClient(RegionEndpoint.USEast1);
-var runtimeClient = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1);
                 </CodeSnippet>
+                <p>To use a named profile explicitly at runtime, use <code>CredentialProfileStoreChain</code>:</p>
+                <CodeSnippet Language="csharp">
+var chain = new CredentialProfileStoreChain(); // reads ~/.aws/credentials
+if (chain.TryGetAWSCredentials("bedrock-dev", out AWSCredentials credentials))
+{
+    var bedrockClient = new AmazonBedrockClient(credentials, RegionEndpoint.USEast1);
+}
+                </CodeSnippet>
+                <CalloutBox Type="tip" Title="Set Up in One Command">
+                    <p>Run <code>aws configure</code> (or <code>aws configure --profile bedrock-dev</code> for a named profile) and answer the prompts. The CLI writes the credentials file for you.</p>
+                </CalloutBox>
             </Section>
 
-            <Section Heading="Method 4: ECS Task Role (Production on ECS/Fargate)" Level="6">
-                <p>For containerized applications running on ECS or Fargate, use an ECS task execution role.</p>
-                <CodeSnippet Language="csharp" Number="6">
-// No credentials code needed! ECS automatically injects AWS_CONTAINER_CREDENTIALS_RELATIVE_URI
+            <Section Heading="Method 4: EC2 Instance Profile Role (Production on EC2)" Level="6">
+                <p>
+                    This is the <b>recommended approach for production applications running on EC2</b>. The SDK automatically retrieves credentials from the instance metadata without any code changes.
+                </p>
+                <CodeSnippet Language="csharp" Number="4">
+// No credentials needed! The SDK automatically uses the EC2 instance role.
 var bedrockClient = new AmazonBedrockClient(RegionEndpoint.USEast1);
+var runtimeClient = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1);
                 </CodeSnippet>
-                <p>The IAM permissions are the same as EC2 Instance Profile. Configure the task role in your ECS task definition.</p>
             </Section>
 
             <Section Heading="Creating the EC2 Instance Profile Role" Level="6">
@@ -216,33 +239,49 @@ async Task ListAvailableModels(AmazonBedrockClient client)
         </Section>
 
         <Section Heading="5. Invoking a Model (Anthropic Claude)" Level="5">
+            <p>The <code>BedrockService</code> class in the <b>AwsBedrockExamples</b> project wraps the Invoke API to query movie details. Here is the core invocation logic from <a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockService.cs" target="_blank">BedrockService.cs</a>:</p>
             <CodeSnippet Language="csharp" Number="4">
-var invokeRequest = new InvokeModelRequest
+public async Task&lt;string&gt; GetMovieDetails(string movieQuery)
 {
-    ModelId = "anthropic.claude-3-sonnet-20240229-v1:0",
-    Body = new System.IO.MemoryStream(System.Text.Encoding.UTF8.GetBytes(
-        JsonSerializer.Serialize(new
-        {
-            anthropic_version = "bedrock-2023-05-31",
-            max_tokens = 1024,
-            messages = new[] 
+    var prompt =
+        $"\n\nHuman: You are a movie information expert. Provide detailed information about the movie '{movieQuery}'. " +
+        "Return the results as a JSON array of objects with fields: title, year, category, directors, actors, plot, genre, rating. " +
+        "If no movie is found, return an empty JSON array.\n\nAssistant:";
+
+    var request = new InvokeModelRequest
+    {
+        ModelId = ModelId, // "anthropic.claude-3-haiku-20240307-v1:0"
+        ContentType = "application/json",
+        Accept = "application/json",
+        Body = new System.IO.MemoryStream(System.Text.Encoding.UTF8.GetBytes(
+            JsonSerializer.Serialize(new
             {
-                new { role = "user", content = "Tell me about the movie Inception and its impact on cinema." }
-            }
-        })
-    )),
-    ContentType = "application/json",
-    Accept = "application/json"
-};
+                anthropic_version = "bedrock-2023-05-31",
+                max_tokens = 1024,
+                messages = new[]
+                {
+                    new { role = "user", content = prompt }
+                }
+            })
+        ))
+    };
 
-var runtimeClient = new AmazonBedrockRuntimeClient(GetCredentials());
-var invokeResponse = await runtimeClient.InvokeModelAsync(invokeRequest);
+    var response = await _client.InvokeModelAsync(request);
+    var responseBody = System.Text.Encoding.UTF8.GetString(response.Body.ToArray());
+    return FormatJsonString(responseBody);
+}
+            </CodeSnippet>
+        </Section>
 
-using var reader = new System.IO.StreamReader(invokeResponse.Body);
-var responseText = await reader.ReadToEndAsync();
+        <Section Heading="6. Putting It All Together" Level="5">
+            <p>Here's how you'd use <code>BedrockService</code> from the <b>AwsBedrockExamples</b> solution to query movie details end-to-end. For the full source, see <a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockService.cs" target="_blank">BedrockService.cs on GitHub</a>.</p>
+            <CodeSnippet Language="csharp" Number="6">
+var service = new BedrockService();
+string movieJson = await service.GetMovieDetails("Inception");
+Console.WriteLine(movieJson);
             </CodeSnippet>
             <p><b>Example Response from Claude:</b></p>
-            <CodeSnippet Language="json" Number="5">
+            <CodeSnippet Language="json" Number="7">
 [
   {
     "title": "Inception",
@@ -265,26 +304,9 @@ var responseText = await reader.ReadToEndAsync();
   }
 ]
             </CodeSnippet>
-        </Section>
-
-        <Section Heading="6. Putting It All Together" Level="5">
-            <p>Here's a minimal, complete example. For a full version, see the linked GitHub repository:</p>
-            <CodeSnippet Language="csharp" Number="6">
-// ...library references and using statements...
-
-AmazonBedrockClient bedrockClient = new AmazonBedrockClient(GetCredentials());
-await ListAvailableModels(bedrockClient);
-
-// Prepare and invoke the model
-// ...invokeRequest as above...
-
-var runtimeClient = new AmazonBedrockRuntimeClient(GetCredentials());
-var invokeResponse = await runtimeClient.InvokeModelAsync(invokeRequest);
-using var reader = new System.IO.StreamReader(invokeResponse.Body);
-var responseText = await reader.ReadToEndAsync();
-
-FormatAndPrintResponse(responseText);
-            </CodeSnippet>
+            <CalloutBox Type="tip" Title="Full Example on GitHub">
+                <p>See the complete <code>BedrockService</code> implementation including response parsing in the <a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockService.cs" target="_blank">BedrockService.cs</a> file on GitHub.</p>
+            </CalloutBox>
         </Section>
     </Section>
 
@@ -303,9 +325,9 @@ FormatAndPrintResponse(responseText);
         <ul>
             <li><a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html" target="_blank">AWS Bedrock Documentation</a></li>
             <li><a href="https://docs.aws.amazon.com/sdk-for-net/v3/developer-guide/" target="_blank">AWS SDK for .NET</a></li>
-            <li><a href="https://github.com/ajaysskumar/dev-arena/blob/main/reference/notebooks/aws-bedrock-demo.ipynb" target="_blank">Complete working example on GitHub</a></li>
+            <li><a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockService.cs" target="_blank">BedrockService.cs on GitHub</a></li>
         </ul>
     </Section>
 
-    <EndNotes RepositoryLink="https://github.com/ajaysskumar/dev-arena/blob/main/reference/notebooks/aws-bedrock-demo.ipynb" />
+    <EndNotes RepositoryLink="https://github.com/ajaysskumar/ai-playground" />
 </BlogContainer>
