Agent Architecture Patterns

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import boto3
import json
from typing import List, Dict, Any

class ReActAgent:
    def __init__(self, model_id: str = "anthropic.claude-3-5-sonnet-20241022-v2:0"):
        self.bedrock = boto3.client('bedrock-runtime')
        self.model_id = model_id
        self.max_iterations = 10
        
    def run(self, task: str, tools: List[Dict]) -> str:
        messages = []

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import boto3
import json
from datetime import datetime
from typing import List, Optional

class ReflexionMemory:
    def __init__(self, table_name: str = "agent-reflections"):
        self.dynamodb = boto3.resource('dynamodb')
        self.table = self.dynamodb.Table(table_name)
        self.bedrock = boto3.client('bedrock-runtime')
        
    def generate_reflection(self, task: str, trajectory: List[dict], 

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import boto3
import json
from dataclasses import dataclass
from typing import List, Dict, Optional
from enum import Enum

class ActionType(Enum):
    SEARCH = "search"
    CALCULATE = "calculate"
    LOOKUP = "lookup"
    FINISH = "finish"

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import boto3
import json
from typing import List, Dict
from dataclasses import dataclass, asdict

@dataclass
class PlanStep:
    step_id: str
    description: str
    dependencies: List[str]
    tools_needed: List[str]
    expected_output: str

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import boto3
import json
from typing import List, Dict, Tuple
from dataclasses import dataclass
from concurrent.futures import ThreadPoolExecutor
import uuid

@dataclass
class ThoughtNode:
    id: str
    parent_id: str
    thought: str

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import boto3
import json
from typing import List, Dict, Any

class ReActAgent:
    def __init__(self, model_id: str = 'anthropic.claude-3-sonnet-20240229-v1:0'):
        self.bedrock = boto3.client('bedrock-runtime')
        self.model_id = model_id
        self.max_iterations = 5
        self.tools = self._initialize_tools()
        
    def _initialize_tools(self) -> Dict[str, callable]:

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{
  "Comment": "Plan-and-Execute Agent Workflow",
  "StartAt": "GeneratePlan",
  "States": {
    "GeneratePlan": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:${region}:${account}:function:planner",
      "ResultPath": "$.plan",
      "Next": "ExecuteSteps"
    },
    "ExecuteSteps": {
      "Type": "Map",

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from enum import Enum
from pydantic import BaseModel
from typing import List, Optional
import boto3
import json

class TaskComplexity(str, Enum):
    SIMPLE = 'simple'
    MEDIUM = 'medium'
    COMPLEX = 'complex'

class AgentPattern(str, Enum):