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Agents

Agents are the core building blocks of the Bedrock Swarm framework. Each agent is a specialized entity that can process requests, use tools, and interact with other agents through the agency system.

For detailed API documentation of the BedrockAgent class, see Base Agent.

Agent Architecture

The agent system follows a modular design:

graph TD
    A[Bedrock Agent] --> B[Model]
    A --> C[Tools]
    A --> D[Memory]
    B --> E[Request Processing]
    C --> F[Tool Registry]
    D --> G[State Management]

Core Components

  1. Bedrock Agent
  2. Request processing
  3. Tool management
  4. Memory handling

  5. State tracking

  6. Model Integration

  7. Model selection
  8. Prompt management
  9. Response processing

  10. Token tracking

  11. Tool System

  12. Tool registration
  13. Tool validation
  14. Execution handling
  15. Result processing

Agent Configuration

Configure agents with specific capabilities:

from bedrock_swarm.agents import BedrockAgent
from bedrock_swarm.tools import CalculatorTool, SearchTool

# Create specialized agent
agent = BedrockAgent(
    name="research_assistant",
    model_id="us.anthropic.claude-3-5-sonnet-20241022-v2:0",
    tools=[
        CalculatorTool(),
        SearchTool()
    ],
    system_prompt="You are a research assistant...",
    config={
        "temperature": 0.7,
        "max_tokens": 4096
    }
)

Tool Integration

Agents can use various tools:

  1. Built-in Tools
  2. Calculator
  3. Search
  4. File operations

  5. Data processing

  6. Custom Tools

  7. API integration
  8. Database access
  9. External services
  10. Specialized functions

Memory Management

Agents maintain state through:

  1. Short-term Memory
  2. Conversation context
  3. Recent interactions
  4. Tool results

  5. Temporary data

  6. Long-term Memory

  7. Persistent state
  8. Learning outcomes
  9. Configuration
  10. Historical data

Best Practices

  1. Agent Design
  2. Single responsibility
  3. Clear objectives
  4. Proper error handling

  5. Resource efficiency

  6. Tool Usage

  7. Appropriate selection
  8. Error handling
  9. Result validation

  10. Resource management

  11. Memory Usage

  12. Context management
  13. State cleanup
  14. Data persistence
  15. Memory limits

See Also