Google Cloud Tools

Google Cloud tools provide authentication and integration patterns for Google Cloud Platform services. While comprehensive Google Cloud service integration is planned for future releases, ADK TypeScript currently focuses on authentication and foundational patterns for cloud connectivity.

Current Implementation

ADK TypeScript provides foundational support for Google Cloud integration through authentication mechanisms and basic patterns for service connectivity.

Available Features

Authentication: Google Cloud credential management and authentication
Service Patterns: Base patterns for creating Google Cloud service tools
Integration Guidelines: Best practices for Google Cloud service integration
Future Foundation: Architecture prepared for comprehensive service integration

Development Status

Comprehensive Google Cloud service tools are in development. Current implementation focuses on authentication and integration patterns.

Authentication Support

🔐 Service Accounts

Service account credential management

🎯 OAuth 2.0

User-based authentication flows

🔑 Credential Discovery

Automatic credential discovery patterns

Authentication Patterns

Service Account Authentication

For server-to-server authentication with Google Cloud services:

import { GoogleAuth } from 'google-auth-library';

// Service account authentication
async function createGoogleAuthClient() {
  const auth = new GoogleAuth({
    keyFilename: process.env.GOOGLE_APPLICATION_CREDENTIALS,
    scopes: ['https://www.googleapis.com/auth/cloud-platform']
  });

  return await auth.getClient();
}

// Usage in custom tools
async function callGoogleCloudAPI(endpoint: string, data: any) {
  const authClient = await createGoogleAuthClient();

  const response = await authClient.request({
    url: endpoint,
    method: 'POST',
    data
  });

  return response.data;
}

OAuth 2.0 User Authentication

For user-based authentication flows:

import { OAuth2Client } from 'google-auth-library';

async function createOAuth2Client() {
  const oauth2Client = new OAuth2Client(
    process.env.GOOGLE_CLIENT_ID,
    process.env.GOOGLE_CLIENT_SECRET,
    process.env.GOOGLE_REDIRECT_URI
  );

  return oauth2Client;
}

// Generate authentication URL
async function getAuthUrl() {
  const oauth2Client = await createOAuth2Client();

  const authUrl = oauth2Client.generateAuthUrl({
    access_type: 'offline',
    scope: ['https://www.googleapis.com/auth/cloud-platform']
  });

  return authUrl;
}

Application Default Credentials

For environments with automatic credential discovery:

import { GoogleAuth } from 'google-auth-library';

async function getDefaultCredentials() {
  const auth = new GoogleAuth({
    scopes: ['https://www.googleapis.com/auth/cloud-platform']
  });

  // Automatically discovers credentials from:
  // 1. GOOGLE_APPLICATION_CREDENTIALS environment variable
  // 2. User credentials from gcloud SDK
  // 3. Service account from compute metadata (on GCP)
  const authClient = await auth.getClient();

  return authClient;
}

Creating Google Cloud Tools

Basic Google Cloud Tool Pattern

Create custom tools for specific Google Cloud services:

import { BaseTool } from '@iqai/adk';
import { GoogleAuth } from 'google-auth-library';

interface GoogleCloudToolConfig {
  serviceName: string;
  apiVersion: string;
  scopes: string[];
}

class GoogleCloudServiceTool extends BaseTool {
  private auth: GoogleAuth;
  private config: GoogleCloudToolConfig;

  constructor(config: GoogleCloudToolConfig) {
    super({
      name: `google_${config.serviceName}`,
      description: `Tool for Google Cloud ${config.serviceName} service`
    });

    this.config = config;
    this.auth = new GoogleAuth({
      scopes: config.scopes
    });
  }

  async runAsync(args: {
    operation: string;
    parameters: Record<string, any>;
  }) {
    try {
      const authClient = await this.auth.getClient();

      // Build request URL
      const baseUrl = `https://${this.config.serviceName}.googleapis.com`;
      const url = `${baseUrl}/${this.config.apiVersion}/${args.operation}`;

      const response = await authClient.request({
        url,
        method: 'POST',
        data: args.parameters
      });

      return {
        success: true,
        data: response.data
      };
    } catch (error) {
      return {
        success: false,
        error: `Google Cloud API error: ${error instanceof Error ? error.message : String(error)}`
      };
    }
  }

  getDeclaration() {
    return {
      name: this.name,
      description: this.description,
      parameters: {
        type: 'object',
        properties: {
          operation: {
            type: 'string',
            description: 'Google Cloud service operation to perform'
          },
          parameters: {
            type: 'object',
            description: 'Parameters for the operation'
          }
        },
        required: ['operation']
      }
    };
  }
}

Google Cloud Storage Example

Example implementation for Cloud Storage operations:

import { BaseTool } from '@iqai/adk';
import { Storage } from '@google-cloud/storage';

class CloudStorageTool extends BaseTool {
  private storage: Storage;

  constructor() {
    super({
      name: 'cloud_storage',
      description: 'Tool for Google Cloud Storage operations'
    });

    this.storage = new Storage({
      // Uses Application Default Credentials
    });
  }

  async runAsync(args: {
    operation: 'upload' | 'download' | 'list' | 'delete';
    bucket: string;
    fileName?: string;
    localPath?: string;
    prefix?: string;
  }) {
    try {
      const bucket = this.storage.bucket(args.bucket);

      switch (args.operation) {
        case 'upload':
          if (!args.fileName || !args.localPath) {
            return { error: 'fileName and localPath required for upload' };
          }
          await bucket.upload(args.localPath, { destination: args.fileName });
          return { success: true, message: `Uploaded ${args.fileName}` };

        case 'download':
          if (!args.fileName || !args.localPath) {
            return { error: 'fileName and localPath required for download' };
          }
          await bucket.file(args.fileName).download({ destination: args.localPath });
          return { success: true, message: `Downloaded ${args.fileName}` };

        case 'list':
          const [files] = await bucket.getFiles({ prefix: args.prefix });
          return {
            success: true,
            files: files.map(file => ({ name: file.name, size: file.metadata.size }))
          };

        case 'delete':
          if (!args.fileName) {
            return { error: 'fileName required for delete' };
          }
          await bucket.file(args.fileName).delete();
          return { success: true, message: `Deleted ${args.fileName}` };

        default:
          return { error: `Unknown operation: ${args.operation}` };
      }
    } catch (error) {
      return {
        success: false,
        error: `Cloud Storage error: ${error instanceof Error ? error.message : String(error)}`
      };
    }
  }

  getDeclaration() {
    return {
      name: this.name,
      description: this.description,
      parameters: {
        type: 'object',
        properties: {
          operation: {
            type: 'string',
            description: 'Storage operation to perform',
            enum: ['upload', 'download', 'list', 'delete']
          },
          bucket: {
            type: 'string',
            description: 'Cloud Storage bucket name'
          },
          fileName: {
            type: 'string',
            description: 'Name of the file in the bucket'
          },
          localPath: {
            type: 'string',
            description: 'Local file path for upload/download'
          },
          prefix: {
            type: 'string',
            description: 'Prefix filter for listing files'
          }
        },
        required: ['operation', 'bucket']
      }
    };
  }
}

Environment Configuration

Required Environment Variables

// Service Account Authentication
GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

// OAuth 2.0 Authentication
GOOGLE_CLIENT_ID=your-client-id.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret
GOOGLE_REDIRECT_URI=http://localhost:3000/auth/callback

// Project Configuration
GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_REGION=us-central1

Credential Setup

Service Account: Create and download service account key from Google Cloud Console
OAuth 2.0: Configure OAuth 2.0 credentials for user authentication
Project Access: Ensure proper IAM roles and permissions
API Enablement: Enable required Google Cloud APIs

Security Best Practices

Authentication Security

Security Requirements

Always follow Google Cloud security best practices for credential management and access control.

Credential Protection: Never commit credentials to source code
Least Privilege: Grant minimum required permissions
Regular Rotation: Rotate service account keys regularly
Monitoring: Monitor credential usage and access patterns

Access Control

// Example: Scoped authentication for specific services
const scopedAuth = new GoogleAuth({
  scopes: [
    'https://www.googleapis.com/auth/devstorage.read_write', // Cloud Storage
    'https://www.googleapis.com/auth/bigquery.readonly'     // BigQuery read-only
  ]
});

Error Handling

async function secureGoogleCloudCall(operation: () => Promise<any>) {
  try {
    return await operation();
  } catch (error: any) {
    // Log error details without exposing sensitive information
    console.error('Google Cloud operation failed:', {
      timestamp: new Date().toISOString(),
      operation: operation.name,
      error: error.message
    });

    // Return safe error message
    return {
      success: false,
      error: 'Google Cloud service temporarily unavailable'
    };
  }
}

Future Roadmap

Planned Google Cloud Tools

Future releases will include comprehensive tools for:

Cloud Storage (file operations and management)
Cloud SQL (database connectivity and operations)
Vertex AI (machine learning and AI services)
BigQuery (data analytics and querying)
Document AI (intelligent document processing)
Cloud Functions (serverless computing)

Expected Features

Pre-built Service Tools: Ready-to-use tools for major Google Cloud services
Automatic Configuration: Simplified setup and configuration
Advanced Authentication: Enhanced security and credential management
Multi-Service Workflows: Orchestrated workflows across multiple services
Performance Optimization: Built-in caching and connection pooling

Integration Examples

Custom Vertex AI Tool

import { BaseTool } from '@iqai/adk';
import { PredictionServiceClient } from '@google-cloud/aiplatform';

class VertexAIPredictionTool extends BaseTool {
  private client: PredictionServiceClient;

  constructor() {
    super({
      name: 'vertex_ai_prediction',
      description: 'Make predictions using Vertex AI models'
    });

    this.client = new PredictionServiceClient();
  }

  async runAsync(args: {
    endpoint: string;
    instances: any[];
  }) {
    try {
      const [response] = await this.client.predict({
        endpoint: args.endpoint,
        instances: args.instances
      });

      return {
        success: true,
        predictions: response.predictions
      };
    } catch (error) {
      return {
        success: false,
        error: `Vertex AI prediction failed: ${error instanceof Error ? error.message : String(error)}`
      };
    }
  }

  getDeclaration() {
    return {
      name: this.name,
      description: this.description,
      parameters: {
        type: 'object',
        properties: {
          endpoint: {
            type: 'string',
            description: 'Vertex AI model endpoint'
          },
          instances: {
            type: 'array',
            description: 'Input instances for prediction'
          }
        },
        required: ['endpoint', 'instances']
      }
    };
  }
}