Overview

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Summary: Interact with cloud services, storage systems, and cloud-based AI platforms

Original Documentation

Documentation Index#

Fetch the complete documentation index at: https://docs.crewai.com/llms.txt Use this file to discover all available pages before exploring further.

Interact with cloud services, storage systems, and cloud-based AI platforms

These tools enable your agents to interact with cloud services, access cloud storage, and leverage cloud-based AI platforms for scalable operations.

Available Tools#

Read files and data from Amazon S3 buckets.

Write and upload files to Amazon S3 storage.

Invoke Amazon Bedrock agents for AI-powered tasks.

Retrieve information from Amazon Bedrock knowledge bases.

Common Use Cases#

  • File Storage: Store and retrieve files from cloud storage systems
  • Data Backup: Backup important data to cloud storage
  • AI Services: Access cloud-based AI models and services
  • Knowledge Retrieval: Query cloud-hosted knowledge bases
  • Scalable Operations: Leverage cloud infrastructure for processing
from crewai_tools import S3ReaderTool, S3WriterTool, BedrockInvokeAgentTool

# Create cloud tools
s3_reader = S3ReaderTool()
s3_writer = S3WriterTool()
bedrock_agent = BedrockInvokeAgentTool()

# Add to your agent
agent = Agent(
    role="Cloud Operations Specialist",
    tools=[s3_reader, s3_writer, bedrock_agent],
    goal="Manage cloud resources and AI services"
)
Link last verified June 7, 2026. View original ↗
Source: CrewAI Docs
Link last verified: 2026-03-04