AWS Integration

Integrate BroxiAI with Amazon Web Services (AWS) ecosystem

Learn how to integrate BroxiAI workflows with AWS services for enhanced functionality, scalability, and data processing capabilities.

AWS Integration Architecture

Overview

BroxiAI integrates seamlessly with AWS services to provide:

Scalable cloud infrastructure
Advanced data processing capabilities
Enterprise-grade security and compliance
Cost-effective resource management
Global availability and performance

Core AWS Services Integration

Amazon Bedrock

Connect BroxiAI to AWS's fully managed foundation model service.

Configuration

{
  "provider": "aws_bedrock",
  "region": "us-east-1",
  "access_key_id": "${AWS_ACCESS_KEY_ID}",
  "secret_access_key": "${AWS_SECRET_ACCESS_KEY}",
  "models": {
    "text": "anthropic.claude-3-sonnet-20240229-v1:0",
    "embeddings": "amazon.titan-embed-text-v1"
  }
}

Supported Models

Anthropic Claude 3 (Haiku, Sonnet, Opus)
Amazon Titan (Text, Embeddings)
Meta Llama 2
Cohere Command
AI21 Labs Jurassic

Amazon S3

Store and process documents, images, and other files.

Use Cases

Document storage for RAG applications
File upload/download workflows
Batch processing of documents
Data archival and backup

Integration Example

# BroxiAI workflow component
{
  "component": "S3FileLoader",
  "config": {
    "bucket_name": "my-documents-bucket",
    "object_key": "documents/manual.pdf",
    "aws_access_key_id": "${AWS_ACCESS_KEY_ID}",
    "aws_secret_access_key": "${AWS_SECRET_ACCESS_KEY}",
    "region": "us-west-2"
  }
}

Amazon RDS/Aurora

Connect to managed relational databases for data retrieval and storage.

Configuration

{
  "database_type": "postgresql",
  "host": "mydb.cluster-xyz.us-east-1.rds.amazonaws.com",
  "port": 5432,
  "database": "production",
  "username": "${DB_USERNAME}",
  "password": "${DB_PASSWORD}",
  "ssl_mode": "require"
}

SQL Agent Integration

Natural language to SQL conversion
Database schema analysis
Automated query generation
Results formatting and analysis

Amazon DynamoDB

Integrate with NoSQL database for session management and metadata storage.

Use Cases

User session storage
Conversation history
Metadata caching
Real-time analytics

Configuration

{
  "table_name": "broxi_sessions",
  "region": "us-east-1",
  "access_key_id": "${AWS_ACCESS_KEY_ID}",
  "secret_access_key": "${AWS_SECRET_ACCESS_KEY}",
  "partition_key": "session_id",
  "sort_key": "timestamp"
}

Amazon SES

Send automated emails from BroxiAI workflows.

Email Component Setup

{
  "component": "SESEmailSender",
  "config": {
    "region": "us-east-1",
    "from_email": "noreply@yourcompany.com",
    "access_key_id": "${AWS_ACCESS_KEY_ID}",
    "secret_access_key": "${AWS_SECRET_ACCESS_KEY}"
  }
}

Use Cases

Automated notifications
Report generation and delivery
Customer communication
Alert systems

Advanced AWS Integrations

Amazon Kinesis

Process streaming data in real-time workflows.

Data Streams

{
  "stream_name": "broxi-events",
  "region": "us-east-1",
  "shard_count": 2,
  "retention_period": 24
}

Integration Benefits

Real-time data processing
Event-driven workflows
Scalable data ingestion
Analytics and monitoring

AWS Lambda

Trigger BroxiAI workflows from serverless functions.

Lambda Function Example

import json
import requests

def lambda_handler(event, context):
    # Trigger BroxiAI workflow
    response = requests.post(
        "https://api.broxi.ai/v1/flows/your-flow-id/run",
        headers={
            "Authorization": f"Bearer {os.environ['BROXI_API_TOKEN']}",
            "Content-Type": "application/json"
        },
        json={
            "input": event["input_message"],
            "variables": event.get("variables", {})
        }
    )
    
    return {
        'statusCode': 200,
        'body': json.dumps(response.json())
    }

Amazon SNS

Send notifications and alerts from workflows.

Topic Configuration

{
  "topic_arn": "arn:aws:sns:us-east-1:123456789012:broxi-alerts",
  "region": "us-east-1",
  "access_key_id": "${AWS_ACCESS_KEY_ID}",
  "secret_access_key": "${AWS_SECRET_ACCESS_KEY}"
}

Notification Types

SMS messages
Email notifications
Mobile push notifications
HTTP/HTTPS endpoints

Amazon CloudWatch

Monitor and log BroxiAI workflow performance.

Metrics Configuration

{
  "namespace": "BroxiAI/Workflows",
  "metrics": [
    "ExecutionTime",
    "SuccessRate", 
    "ErrorRate",
    "TokenUsage"
  ],
  "log_group": "/aws/broxi/workflows"
}

Vector Database Integration

Amazon OpenSearch Service

Use OpenSearch as a vector database for RAG applications.

Configuration

{
  "endpoint": "https://search-mydomain.us-east-1.es.amazonaws.com",
  "region": "us-east-1",
  "index_name": "documents",
  "dimension": 1536,
  "similarity_metric": "cosine",
  "authentication": {
    "type": "aws_iam",
    "access_key_id": "${AWS_ACCESS_KEY_ID}",
    "secret_access_key": "${AWS_SECRET_ACCESS_KEY}"
  }
}

Features

Vector similarity search
Hybrid search (text + vector)
Real-time indexing
Scalable performance

Amazon MemoryDB for Redis

Fast vector search with in-memory performance.

Use Cases

Real-time recommendations
Session-based search
Caching layer for embeddings
Low-latency applications

Security and Compliance

IAM Roles and Policies

Configure secure access to AWS resources.

Minimal IAM Policy

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "bedrock:InvokeModel",
        "s3:GetObject",
        "s3:PutObject",
        "ses:SendEmail"
      ],
      "Resource": [
        "arn:aws:bedrock:*:*:model/*",
        "arn:aws:s3:::my-bucket/*",
        "arn:aws:ses:*:*:identity/*"
      ]
    }
  ]
}

VPC Integration

Deploy BroxiAI integrations within your VPC for enhanced security.

Network Configuration

Private subnets for database access
NAT gateways for internet access
Security groups for access control
VPC endpoints for AWS services

Encryption

Data Protection

S3 bucket encryption (AES-256 or KMS)
RDS encryption at rest
SES encryption in transit
Parameter Store for secrets

Cost Optimization

Resource Management

Best Practices

Use appropriate instance sizes
Implement auto-scaling policies
Monitor and optimize usage
Leverage spot instances where applicable

Cost Monitoring

Set up billing alerts
Use AWS Cost Explorer
Tag resources for cost allocation
Regular cost optimization reviews

AWS Free Tier

Take advantage of AWS Free Tier services:

Amazon Bedrock: Limited free usage
Amazon S3: 5GB of storage
Amazon DynamoDB: 25GB of storage
AWS Lambda: 1M free requests per month

Deployment Patterns

Multi-Region Deployment

Deploy across multiple AWS regions for:

High availability
Disaster recovery
Global performance
Compliance requirements

Architecture Example

Primary Region (us-east-1):
  - Production workloads
  - Primary databases
  - Main S3 buckets

Secondary Region (us-west-2):
  - Disaster recovery
  - Read replicas
  - Backup storage

Auto Scaling

Configure auto-scaling for variable workloads:

Application Load Balancer
Auto Scaling Groups
CloudWatch metrics
Scaling policies

Monitoring and Logging

CloudWatch Integration

Key Metrics

API response times
Error rates
Resource utilization
Cost metrics

Log Aggregation

Centralized logging
Log retention policies
Search and analysis
Alerting rules

AWS X-Ray

Distributed tracing for complex workflows:

Request tracing
Performance analysis
Bottleneck identification
Service map visualization

Getting Started

Prerequisites

AWS account with appropriate permissions
BroxiAI account and API access
AWS CLI configured
Basic understanding of AWS services

Quick Start Guide

Set up AWS credentials in BroxiAI global variables
Create S3 bucket for document storage
Configure Bedrock access for AI models
Build your first workflow using AWS components
Test and deploy to production

Example Workflow

Here's a complete workflow that processes documents from S3:

Support Resources

Next Steps

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Last updated 6 days ago