feat(storage): add Azure Blob Storage connector.

README.md

@@ -25,7 +25,7 @@ SmythOS provides a complete **Operating System for Agentic AI**. Just as traditi
 
 ### Unified Resource Abstraction
 
-SmythOS provides a **unified interface for all resources**, ensuring consistency and simplicity across your entire AI platform. Whether you're storing a file locally, on S3, or any other storage provider, you don't need to worry about the underlying implementation details. SmythOS offers a powerful abstraction layer where all providers expose the same functions and APIs.
+SmythOS provides a **unified interface for all resources**, ensuring consistency and simplicity across your entire AI platform. Whether you're storing a file locally, on AWS S3, Azure Blob Storage or any other storage provider, you don't need to worry about the underlying implementation details. SmythOS offers a powerful abstraction layer where all providers expose the same functions and APIs.
 
 This principle applies to **all services** - not just storage. Whether you're working with VectorDBs, cache (Redis, RAM), LLMs (OpenAI, Anthropic), or any other resource, the interface remains consistent across providers.
 

examples/06-Storage-no-agent/03-AzureBlobStorage.ts

@@ -0,0 +1,47 @@
+import 'dotenv/config';
+import { Storage } from '@smythos/sdk';
+
+async function main() {
+    // Ensure environment variables are loaded
+    if (!process.env.AZURE_STORAGE_ACCOUNT_NAME || !process.env.AZURE_STORAGE_ACCESS_KEY) {
+        console.error("Error: Missing Azure credentials in your .env file.");
+        return;
+    }
+
+    // Initialize the Azure Blob Storage connector with credentials from the .env file
+    const azureStorage = Storage.AzureBlobStorage({
+        storageAccountName: process.env.AZURE_STORAGE_ACCOUNT_NAME,
+        storageAccountAccessKey: process.env.AZURE_STORAGE_ACCESS_KEY,
+        blobContainerName: process.env.AZURE_BLOB_CONTAINER_NAME!,
+    });
+
+    const resourceId = 'smythos-azure-test.txt';
+    const content = 'Hello, world from Azure!';
+
+    console.log(`=== Running Azure Blob Storage Example ===`);
+
+    // Write a file to your container.
+    console.log(`Writing "${content}" to "${resourceId}"...`);
+    await azureStorage.write(resourceId, content);
+    console.log('Write operation complete.');
+
+    // Read the file back.
+    console.log(`Reading "${resourceId}"...`);
+    const data = await azureStorage.read(resourceId);
+    console.log('Read operation complete.');
+
+    // Log the content to verify it's correct.
+    const dataAsString = data?.toString();
+    console.log(`Content read from blob: "${dataAsString}"`);
+
+    if (dataAsString !== content) {
+        throw new Error("Verification failed: Read content does not match written content!");
+    }
+
+    console.log('Verification successful!');
+    console.log(`=== Example Finished ===`);
+}
+
+main().catch(error => {
+    console.error("An error occurred:", error.message);
+});

packages/core/docs/connectors/storage.md

@@ -81,3 +81,48 @@ SRE.init({
 -   Store credentials securely using environment variables or AWS Secrets Manager
 -   Configure appropriate bucket policies and CORS settings
 -   Enable encryption at rest and in transit for sensitive data
+
+-----
+
+### Azure Blob Storage
+
+**Role**: Microsoft Azure Blob Storage cloud connector
+**Summary**: Provides highly scalable and secure cloud storage using Azure Blob Storage, ideal for production workloads integrated with the Microsoft Azure ecosystem.
+
+| Setting                   | Type   | Required | Default | Description                                  |
+|:--------------------------|:-------|:---------|:--------|:---------------------------------------------|
+| `storageAccountName`      | string | Yes      | -       | The name of your Azure Storage Account       |
+| `storageAccountAccessKey` | string | Yes      | -       | Access key for the storage account           |
+| `blobContainerName`       | string | Yes      | -       | The container name for storing blobs (files) |
+
+
+**Example Configuration:**
+
+```typescript
+import { SRE } from '@smythos/sre';
+
+SRE.init({
+    Storage: {
+        Connector: 'AzureBlobStorage',
+        Settings: {
+            storageAccountName: 'myappstorageaccount',
+            storageAccountAccessKey: process.env.AZURE_STORAGE_ACCESS_KEY,
+            blobContainerName: 'my-app-blobs',
+        },
+    },
+});
+```
+
+**Use Cases:**
+
+  * Production environments, especially those hosted on Microsoft Azure
+  * Applications requiring durable, high-availability, and geo-redundant storage
+  * Integration with the Azure ecosystem (Azure Functions, Logic Apps, etc.)
+  * Storing large-scale unstructured data like images, videos, and documents
+
+**Security Notes:**
+
+  * Use Managed Identities when running on Azure infrastructure for the most secure, keyless authentication.
+  * Store credentials securely using environment variables or Azure Key Vault.
+  * Configure container access policies and use Shared Access Signatures (SAS) for fine-grained, temporary access.
+  * Enable encryption at rest and in transit for sensitive data.

packages/core/package.json

@@ -60,6 +60,7 @@
         "@aws-sdk/client-lambda": "^3.835.0",
         "@aws-sdk/client-s3": "^3.826.0",
         "@aws-sdk/client-secrets-manager": "^3.826.0",
+        "@azure/storage-blob": "^12.28.0",
         "@faker-js/faker": "^9.8.0",
         "@google-cloud/vertexai": "^1.7.0",
         "@google/genai": "^1.10.0",

packages/core/src/index.ts

@@ -162,6 +162,7 @@ export * from './subsystems/IO/Router.service/connectors/ExpressRouter.class';
 export * from './subsystems/IO/Router.service/connectors/NullRouter.class';
 export * from './subsystems/IO/Storage.service/connectors/LocalStorage.class';
 export * from './subsystems/IO/Storage.service/connectors/S3Storage.class';
+export * from './subsystems/IO/Storage.service/connectors/AzureBlobStorage.class'
 export * from './subsystems/IO/VectorDB.service/connectors/MilvusVectorDB.class';
 export * from './subsystems/IO/VectorDB.service/connectors/PineconeVectorDB.class';
 export * from './subsystems/IO/VectorDB.service/connectors/RAMVecrtorDB.class';