Kye Gomez
6 days ago
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# AOP Server Setup Example
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This example demonstrates how to set up an Agent Orchestration Protocol (AOP) server with multiple specialized agents.
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## Overview
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The AOP server allows you to deploy multiple agents that can be discovered and called by other agents or clients in the network. This example shows how to create a server with specialized agents for different tasks.
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## Code Example
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```python
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from swarms import Agent
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from swarms.structs.aop import (
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AOP,
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)
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# Create specialized agents
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research_agent = Agent(
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agent_name="Research-Agent",
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agent_description="Expert in research, data collection, and information gathering",
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model_name="anthropic/claude-sonnet-4-5",
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max_loops=1,
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top_p=None,
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dynamic_temperature_enabled=True,
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system_prompt="""You are a research specialist. Your role is to:
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1. Gather comprehensive information on any given topic
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2. Analyze data from multiple sources
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3. Provide well-structured research findings
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4. Cite sources and maintain accuracy
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5. Present findings in a clear, organized manner
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Always provide detailed, factual information with proper context.""",
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)
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analysis_agent = Agent(
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agent_name="Analysis-Agent",
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agent_description="Expert in data analysis, pattern recognition, and generating insights",
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model_name="anthropic/claude-sonnet-4-5",
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max_loops=1,
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top_p=None,
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dynamic_temperature_enabled=True,
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system_prompt="""You are an analysis specialist. Your role is to:
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1. Analyze data and identify patterns
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2. Generate actionable insights
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3. Create visualizations and summaries
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4. Provide statistical analysis
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5. Make data-driven recommendations
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Focus on extracting meaningful insights from information.""",
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)
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writing_agent = Agent(
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agent_name="Writing-Agent",
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agent_description="Expert in content creation, editing, and communication",
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model_name="anthropic/claude-sonnet-4-5",
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max_loops=1,
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top_p=None,
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dynamic_temperature_enabled=True,
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system_prompt="""You are a writing specialist. Your role is to:
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1. Create engaging, well-structured content
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2. Edit and improve existing text
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3. Adapt tone and style for different audiences
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4. Ensure clarity and coherence
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5. Follow best practices in writing
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Always produce high-quality, professional content.""",
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)
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code_agent = Agent(
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agent_name="Code-Agent",
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agent_description="Expert in programming, code review, and software development",
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model_name="anthropic/claude-sonnet-4-5",
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max_loops=1,
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top_p=None,
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dynamic_temperature_enabled=True,
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system_prompt="""You are a coding specialist. Your role is to:
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1. Write clean, efficient code
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2. Debug and fix issues
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3. Review and optimize code
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4. Explain programming concepts
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5. Follow best practices and standards
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Always provide working, well-documented code.""",
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)
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financial_agent = Agent(
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agent_name="Financial-Agent",
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agent_description="Expert in financial analysis, market research, and investment insights",
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model_name="anthropic/claude-sonnet-4-5",
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max_loops=1,
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top_p=None,
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dynamic_temperature_enabled=True,
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system_prompt="""You are a financial specialist. Your role is to:
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1. Analyze financial data and markets
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2. Provide investment insights
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3. Assess risk and opportunities
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4. Create financial reports
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5. Explain complex financial concepts
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Always provide accurate, well-reasoned financial analysis.""",
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)
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# Basic usage - individual agent addition
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deployer = AOP("MyAgentServer", verbose=True, port=5932)
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agents = [
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research_agent,
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analysis_agent,
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writing_agent,
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code_agent,
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financial_agent,
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]
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deployer.add_agents_batch(agents)
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deployer.run()
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```
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## Key Components
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### 1. Agent Creation
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Each agent is created with:
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- **agent_name**: Unique identifier for the agent
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- **agent_description**: Brief description of the agent's capabilities
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- **model_name**: The language model to use
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- **system_prompt**: Detailed instructions defining the agent's role and behavior
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### 2. AOP Server Setup
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- **Server Name**: "MyAgentServer" - identifies your server
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- **Port**: 5932 - the port where the server will run
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- **Verbose**: True - enables detailed logging
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### 3. Agent Registration
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- **add_agents_batch()**: Registers multiple agents at once
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- Agents become available for discovery and remote calls
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## Usage
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1. **Start the Server**: Run the script to start the AOP server
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2. **Agent Discovery**: Other agents or clients can discover available agents
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3. **Remote Calls**: Agents can be called remotely by their names
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## Server Features
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- **Agent Discovery**: Automatically registers agents for network discovery
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- **Remote Execution**: Agents can be called from other network nodes
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- **Load Balancing**: Distributes requests across available agents
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- **Health Monitoring**: Tracks agent status and availability
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## Configuration Options
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- **Port**: Change the port number as needed
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- **Verbose**: Set to False for reduced logging
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- **Server Name**: Use a descriptive name for your server
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## Next Steps
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- See [AOP Cluster Example](aop_cluster_example.md) for multi-server setups
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- Check [AOP Reference](../structs/aop.md) for advanced configuration options
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- Explore agent communication patterns in the examples directory
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