Build your own Agentic Team to support day-to-day operations

Welcome to CloudThinker's Multi-Agent System (MAS) platform, where you can create your own team of specialized AI agents to transform your cloud operations. This guide will walk you through how to build, customize, and orchestrate your AI team to handle complex cloud management tasks with unprecedented efficiency.

Understanding Agent Orchestration and Multi-Agent Systems (MAS)

Agent orchestration is the coordination and management of multiple specialized AI agents working together to solve complex problems. In CloudThinker, each agent has specific expertise, tools, and capabilities that, when combined, create a powerful system that's greater than the sum of its parts.

Multi-Agent Systems (MAS) represent a revolutionary approach to cloud management where specialized AI agents collaborate with complementary skills to handle complex tasks. Rather than a single AI trying to be an expert at everything, MAS leverages the power of specialization and collaboration—just like human teams.

Benefits of MAS in CloudThinker:

• Specialized Expertise: Each agent excels in a specific domain

• Parallel Processing: Multiple agents can work simultaneously on different aspects of a problem

• Redundancy: System remains functional even if one agent is unavailable

• Scalability: Add new agents with specialized skills as your needs evolve

Controlling Your Multi-Agent Team with Chat Interaction

CloudThinker provides intuitive ways to interact with your agent team through familiar chat conventions:

Using @ Mentions

To direct a request to a specific agent, simply use the @ symbol followed by their name:

@Alex Can you check why our EC2 costs have increased by 30% this month?

This ensures Alex (Cloud Engineer) will handle your request using his specialized knowledge of AWS infrastructure and cost optimization.

Using # Commands

You can trigger specific agent functions with hashtag commands:

#recommendation How can we optimize our RDS instances?

This directs any agent with the recommendation capability to generate optimization suggestions for your database instances.

Combined Commands

For complex tasks that require multiple agents, you can combine directives:

@Kai #alert Check our Kubernetes cluster performance and @Tony verify if database connections are the bottleneck

Group Chat Collaboration

The Group Chat feature (as shown in the interface) allows you to communicate with your entire team simultaneously, letting agents collaborate on complex issues that span multiple domains.

Agent Instruction: Customizing Your Agents

Each CloudThinker agent can be customized through detailed instructions that shape their behavior, expertise, and approach to problem-solving.

How to Configure Agent Instructions:

1. Navigate to the Agent Settings panel (as shown in the screenshots for Alex)

2. Select the "Instructions" tab

3. Define the agent's:

   • Professional background and expertise

   • Core responsibilities

   • Decision-making guidelines

   • Communication style

   • Collaboration protocols

Example Instruction (Alex - Cloud Engineer):

You are a certified AWS Solutions Architect Professional with 8+ years of experience in cloud infrastructure and DevOps. You've successfully implemented cost optimization strategies that saved millions in cloud spending for enterprise clients. Your expertise spans across infrastructure as code, containerization, serverless architectures, and automated deployment pipelines. You're known for your ability to identify cost-saving opportunities while maintaining high performance and security standards.

Guidelines:
- Manage cloud resources and services
- Monitor performance and costs
- Ensure security compliance
- Execute changes with AWS CLI tools

Ensure you leverage #mem #search #alert when you need it.

This comprehensive instruction ensures Alex understands his role, expertise level, and operational guidelines when responding to your requests.

Agent Tools

CloudThinker agents can be equipped with various tools that extend their capabilities and enable them to perform specific actions. As seen in the screenshots, tools are configured in the "Tools & Services" section.

Built-in Tools:

• AWS Script Execution (Read Only/Write Permissions): Allows agents to run AWS CLI commands

• Create Chart: Generate visual representations of cloud data

• Push Alert: Send notifications about critical events

• Create Recommendations: Formulate optimization suggestions

• Search Internet: Gather relevant information from online sources

• Planning: Create structured plans for complex operations

MCP Servers:

Agents can also connect to various Model Context Protocols which support SSE, example:

• kubectl: For Kubernetes cluster management

• pg: For PostgreSQL database management

Configuring Tools:

1. Navigate to the agent's "Tools & Services" tab

2. Check/uncheck tools according to your security requirements and the agent's responsibilities

3. Save Changes to update the agent's capabilities

By carefully selecting which tools each agent has access to, you can maintain proper security boundaries while enabling effective operation.

Agent Context

The Agent Context's ability to enable self-discovery and environmental awareness that helps your agents understand your specific environment and make more relevant recommendations.

Types of Context Information:

• Organization: Company structure, team setup, and priorities

• Environment: Details about your cloud infrastructure, applications, and architecture

• Policies: Security requirements, cost constraints, and operational guidelines

• Historical Data: Previous incidents, common issues, and established solutions

Enable Agent Context:

1. Navigate to the "Agent Context" tab in Agent Settings

2. Enable or disable Agent Context

You can guide the Agent to use context more effectively by updating the Agent Instructions to tell the Agent what information should be discovered and stored in the context.

Creating Your Dream Team

As shown in the screenshots, CloudThinker offers a variety of specialized agents you can add to your team:

1. Alex (Cloud Engineer): AWS specialist focused on infrastructure optimization

2. Anna (General Manager): Oversees operations with broad technical expertise

3. Kai (Kubernetes Engineer): Container orchestration specialist

4. Oliver (Security Engineer): Focuses on cloud security and compliance

5. Tony (Database Engineer): Expert in database management and optimization

Each agent comes with predefined expertise but can be customized to your specific needs. Build a team that addresses your unique cloud challenges and operational priorities.

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By effectively utilizing CloudThinker's Multi-Agent System, you'll transform your cloud operations from manual, reactive firefighting to an intelligent, proactive partnership between your team and specialized AI agents. Start building your dream team today and experience the future of cloud management.