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Fix Markdown syntax issues
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README.md

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> [!IMPORTANT]
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> The deployment process typically takes 15-20 minutes
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>
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> 1. Adjust [terraform.tfvars](./terraform-infrastructure/terraform.tfvars) values
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> 2. Initialize terraform with `terraform init`. Click here to [understand more about the deployment process](./terraform-infrastructure/README.md)
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> 3. Run `terraform apply`, you can also leverage `terraform apply -auto-approve`.
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`A2A (Agent-to-Agent) Protocol is a standardized communication framework that enables multiple AI agents to collaborate and coordinate tasks seamlessly.`
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> What is A2A Protocol?
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- **Agent-to-Agent Communication**: Structured messaging between multiple AI agents
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- **Task Coordination**: Agents can delegate tasks to specialized agents
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- **Event-Driven Architecture**: Real-time event handling for agent interactions
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- **Agent Discovery**: Automatic detection and registration of available agents
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- **Protocol Standardization**: Consistent API for inter-agent communication
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> A2A Components in This Project:
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- **Agent Execution Framework**: Manages multiple agent instances (`src/a2a/server/agent_execution.py`)
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- **Event Queue System**: Handles inter-agent communication (`src/a2a/server/events/`)
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- **Task Management**: Coordinates work between agents (`src/a2a/server/tasks.py`)
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- **API Endpoints**: RESTful and WebSocket APIs for agent communication (`src/a2a/api/`)
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> A2A vs Traditional Multi-Agent Systems:
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- **Standardized Protocol**: Uses consistent message formats and APIs
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- **Scalable Architecture**: Easily add new agents without modifying existing ones
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- **Real-time Communication**: WebSocket support for instant agent interactions

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