chore(bedrock-alpha): add Claude 4 models and missing Cross region inference profile

packages/@aws-cdk/aws-bedrock-alpha/README.md

@@ -1487,7 +1487,7 @@ Use the `grantProfileUsage` method to grant appropriate permissions to resources
 // Create an application inference profile
 const profile = new bedrock.ApplicationInferenceProfile(this, 'MyProfile', {
   applicationInferenceProfileName: 'my-profile',
-  modelSource: bedrock.BedrockFoundationModel.ANTHROPIC_CLAUDE_3_5_SONNET_V1_0,
+  modelSource: bedrock.BedrockFoundationModel.ANTHROPIC_CLAUDE_SONNET_4_5_V1_0,
 });
 
 // Create a Lambda function
@@ -1503,7 +1503,7 @@ profile.grantProfileUsage(lambdaFunction);
 // Use a system defined inference profile
 const crossRegionProfile = bedrock.CrossRegionInferenceProfile.fromConfig({
   geoRegion: bedrock.CrossRegionInferenceProfileRegion.US,
-  model: bedrock.BedrockFoundationModel.ANTHROPIC_CLAUDE_3_5_SONNET_V1_0,
+  model: bedrock.BedrockFoundationModel.ANTHROPIC_CLAUDE_SONNET_4_5_V1_0,
 });
 
 // Grant permissions to use the cross-region inference profile

packages/@aws-cdk/aws-bedrock-alpha/bedrock/inference-profiles/cross-region-inference-profile.ts

@@ -19,37 +19,76 @@ class CrossRegionInferenceProfileError extends Error {
  * throughput and resilience during peak demands.
  */
 export enum CrossRegionInferenceProfileRegion {
+  /**
+   * Global cross-region Inference Identifier.
+   * Routes requests to any supported commercial AWS Region.
+   */
+  GLOBAL = 'global',
   /**
    * Cross-region Inference Identifier for the European area.
    * According to the model chosen, this might include:
    * - Frankfurt (`eu-central-1`)
    * - Ireland (`eu-west-1`)
    * - Paris (`eu-west-3`)
+   * - London (`eu-west-2`)
+   * - Stockholm (`eu-north-1`)
+   * - Milan (`eu-south-1`)
+   * - Spain (`eu-south-2`)
+   * - Zurich (`eu-central-2`)
    */
   EU = 'eu',
   /**
    * Cross-region Inference Identifier for the United States area.
    * According to the model chosen, this might include:
    * - N. Virginia (`us-east-1`)
-   * - Oregon (`us-west-2`)
    * - Ohio (`us-east-2`)
+   * - Oregon (`us-west-2`)
    */
   US = 'us',
+  /**
+   * Cross-region Inference Identifier for the US GovCloud area.
+   * According to the model chosen, this might include:
+   * - GovCloud US-East (`us-gov-east-1`)
+   * - GovCloud US-West (`us-gov-west-1`)
+   */
+  US_GOV = 'us-gov',
   /**
    * Cross-region Inference Identifier for the Asia-Pacific area.
    * According to the model chosen, this might include:
    * - Tokyo (`ap-northeast-1`)
    * - Seoul (`ap-northeast-2`)
+   * - Osaka (`ap-northeast-3`)
    * - Mumbai (`ap-south-1`)
+   * - Hyderabad (`ap-south-2`)
    * - Singapore (`ap-southeast-1`)
    * - Sydney (`ap-southeast-2`)
+   * - Jakarta (`ap-southeast-3`)
+   * - Melbourne (`ap-southeast-4`)
+   * - Malaysia (`ap-southeast-5`)
+   * - Thailand (`ap-southeast-7`)
+   * - Taipei (`ap-east-2`)
+   * - Middle East (UAE) (`me-central-1`)
    */
   APAC = 'apac',
+  /**
+   * Cross-region Inference Identifier for the Japan area.
+   * According to the model chosen, this might include:
+   * - Tokyo (`ap-northeast-1`)
+   * - Osaka (`ap-northeast-3`)
+   */
+  JP = 'jp',
+  /**
+   * Cross-region Inference Identifier for the Australia area.
+   * According to the model chosen, this might include:
+   * - Sydney (`ap-southeast-2`)
+   * - Melbourne (`ap-southeast-4`)
+   */
+  AU = 'au',
 }
 
 /**
  * Mapping of AWS regions to their corresponding geographic areas for cross-region inference.
- * This mapping is used to determine which cross-region inference profile to use based on the current region.
+ * This mapping is used to determine which cross-region inference profile to use based on the current region in prompt router.
  */
 export const REGION_TO_GEO_AREA: { [key: string]: CrossRegionInferenceProfileRegion } = {
   // US Regions

packages/@aws-cdk/aws-bedrock-alpha/bedrock/models.ts

@@ -344,6 +344,85 @@ export class BedrockFoundationModel implements IBedrockInvokable {
    *                            ANTHROPIC
    ***************************************************************************/
 
+  /**
+   * Anthropic's Claude Haiku 4.5 model, most cost-efficient and fastest.
+   * Delivers near-frontier performance with substantially lower cost and faster speeds.
+   *
+   * Features:
+   * - Supports vision (Image input modality)
+   * - Cross-region support
+   * - Supports Bedrock Agents
+   * - Best for: Large-scale deployments, budget-conscious applications, real-time customer service, latency-sensitive use cases
+   */
+  public static readonly ANTHROPIC_CLAUDE_HAIKU_4_5_V1_0 = new BedrockFoundationModel(
+    'anthropic.claude-haiku-4-5-20251001-v1:0',
+    { supportsAgents: true, supportsCrossRegion: true, optimizedForAgents: true },
+  );
+
+  /**
+   * Anthropic's Claude Sonnet 4.5 model, most intelligent in the Claude 4 series.
+   * Demonstrates advancements in agent capabilities with enhanced performance in tool handling,
+   * memory management, and context processing. Excels at autonomous long-horizon coding tasks.
+   *
+   * Features:
+   * - Supports vision (Image input modality)
+   * - Cross-region support
+   * - Supports Bedrock Agents
+   * - Enhanced tool handling and memory management for long-running tasks
+   * - Best for: Complex agents, coding, autonomous long-horizon tasks, research and analysis, cybersecurity and finance applications
+   */
+  public static readonly ANTHROPIC_CLAUDE_SONNET_4_5_V1_0 = new BedrockFoundationModel(
+    'anthropic.claude-sonnet-4-5-20250929-v1:0',
+    { supportsAgents: true, supportsCrossRegion: true, optimizedForAgents: true },
+  );
+
+  /**
+   * Anthropic's Claude Opus 4.1 model, most advanced for coding and agentic applications.
+   * Excels at independently planning and executing complex development tasks end-to-end.
+   * Drop-in replacement for Opus 4 with superior performance and precision.
+   *
+   * Features:
+   * - Supports vision (Image input modality)
+   * - Cross-region support
+   * - Supports Bedrock Agents
+   * - Best for: Complex end-to-end development, agentic applications, research, advanced reasoning
+   */
+  public static readonly ANTHROPIC_CLAUDE_OPUS_4_1_V1_0 = new BedrockFoundationModel(
+    'anthropic.claude-opus-4-1-20250805-v1:0',
+    { supportsAgents: true, supportsCrossRegion: true, optimizedForAgents: true },
+  );
+
+  /**
+   * Anthropic's Claude Opus 4 model, next-generation frontier model.
+   * High-performance model for advanced reasoning and complex multi-step tasks.
+   *
+   * Features:
+   * - Supports vision (Image input modality)
+   * - Cross-region support
+   * - Supports Bedrock Agents
+   * - Best for: Advanced reasoning, complex workflows, enterprise applications
+   */
+  public static readonly ANTHROPIC_CLAUDE_OPUS_4_V1_0 = new BedrockFoundationModel(
+    'anthropic.claude-opus-4-20250514-v1:0',
+    { supportsAgents: true, supportsCrossRegion: true, optimizedForAgents: true },
+  );
+
+  /**
+   * Anthropic's Claude Sonnet 4 model, next-generation frontier model.
+   * Advanced model with improved performance for production environments.
+   * Balances quality, cost-effectiveness, and responsiveness.
+   *
+   * Features:
+   * - Supports vision (Image input modality)
+   * - Cross-region support
+   * - Supports Bedrock Agents
+   * - Best for: Production applications, complex language tasks, balanced performance and cost
+   */
+  public static readonly ANTHROPIC_CLAUDE_SONNET_4_V1_0 = new BedrockFoundationModel(
+    'anthropic.claude-sonnet-4-20250514-v1:0',
+    { supportsAgents: true, supportsCrossRegion: true, optimizedForAgents: true },
+  );
+
   /**
    * Anthropic's Claude 3.7 Sonnet model, latest in the Claude 3 series.
    * Advanced language model with enhanced capabilities.