Strands Agents SDK マルチエージェント — Swarm でエージェントを自律的に協調させる

from strands import Agent
from strands.models import BedrockModel
from strands.multiagent import Swarm
 
bedrock_model = BedrockModel(
    model_id="us.anthropic.claude-sonnet-4-20250514-v1:0",
    region_name="us-east-1",
)
 
researcher = Agent(
    name="researcher",
    model=bedrock_model,
    system_prompt="You are a research specialist. Research the given topic and hand off to the writer when you have enough information.",
    callback_handler=None,
)
 
writer = Agent(
    name="writer",
    model=bedrock_model,
    system_prompt="You are a writing specialist. Write a concise summary based on the research provided. Do not hand off to another agent.",
    callback_handler=None,
)
 
swarm = Swarm(
    [researcher, writer],
    entry_point=researcher,
    max_handoffs=10,
    max_iterations=10,
)
 
result = swarm("What is Amazon Bedrock? Summarize in 2-3 sentences.")
 
print(f"Status: {result.status}")
print(f"Node history: {[node.node_id for node in result.node_history]}")
print(f"Execution count: {result.execution_count}")
print(f"Execution time: {result.execution_time}ms")
 
for node_id, node_result in result.results.items():
    print(f"\n--- {node_id} ---")
    print(f"  Status: {node_result.status}")
    if node_result.result and node_result.result.message:
        for block in node_result.result.message.get('content', []):
            if 'text' in block:
                print(f"  Output: {block['text'][:150]}...")
                break

from strands import Agent
from strands.models import BedrockModel
from strands.multiagent import Swarm
 
bedrock_model = BedrockModel(
    model_id="us.anthropic.claude-sonnet-4-20250514-v1:0",
    region_name="us-east-1",
)
 
researcher = Agent(
    name="researcher", model=bedrock_model,
    system_prompt="You are a research specialist. Research the topic and hand off to the most appropriate next agent.",
    callback_handler=None,
)
architect = Agent(
    name="architect", model=bedrock_model,
    system_prompt="You are a system architecture specialist. Design a high-level architecture. Hand off to the coder when done.",
    callback_handler=None,
)
coder = Agent(
    name="coder", model=bedrock_model,
    system_prompt="You are a coding specialist. Write pseudocode based on the architecture. Hand off to the reviewer when done.",
    callback_handler=None,
)
reviewer = Agent(
    name="reviewer", model=bedrock_model,
    system_prompt="You are a code review specialist. Review and provide a final summary. Do not hand off.",
    callback_handler=None,
)
 
swarm = Swarm(
    [researcher, architect, coder, reviewer],
    entry_point=researcher,
    max_handoffs=10, max_iterations=10,
)
 
result = swarm("Design a simple REST API for a todo app")
 
print(f"Status: {result.status}")
print(f"Node history: {[n.node_id for n in result.node_history]}")
print(f"Execution count: {result.execution_count}")
print(f"Execution time: {result.execution_time}ms")

from strands import Agent
from strands.models import BedrockModel
from strands.multiagent import Swarm
 
bedrock_model = BedrockModel(
    model_id="us.anthropic.claude-sonnet-4-20250514-v1:0",
    region_name="us-east-1",
)
 
researcher = Agent(
    name="researcher", model=bedrock_model,
    system_prompt="You are a research specialist. Research the topic and hand off to the architect.",
    callback_handler=None,
)
architect = Agent(
    name="architect", model=bedrock_model,
    system_prompt="You are an architecture specialist. Design architecture and hand off to the coder.",
    callback_handler=None,
)
coder = Agent(
    name="coder", model=bedrock_model,
    system_prompt="You are a coding specialist. Write code and hand off to the reviewer.",
    callback_handler=None,
)
reviewer = Agent(
    name="reviewer", model=bedrock_model,
    system_prompt="You are a review specialist. Review and provide final summary. Do not hand off.",
    callback_handler=None,
)
 
swarm = Swarm(
    [researcher, architect, coder, reviewer],
    entry_point=researcher,
    max_handoffs=2, max_iterations=10,
)
 
result = swarm("Design a simple REST API for a todo app")
 
print(f"Status: {result.status}")
print(f"Node history: {[n.node_id for n in result.node_history]}")
print(f"Execution count: {result.execution_count}")