[レポート]Nova Sonic、Bedrock AgentCore、MCPを活用したエージェント型音声チャットアプリの構築 (AIM302) #AWSreInvent

# Simple toolUse to get system time in UTC
if toolName == "getdatetool":
    from datetime import datetime, timezone
    result = datetime.now(timezone.utc).strftime('%A, %Y-%m-%d %H-%M-%S')

# Bedrock Knowledge Bases (RAG)
if toolName == "getkbtool":
    result = kb.retrieve_kb(content)

def retrieve_kb(query):
    results = []
    # Bedrock Agent Runtimeでナレッジベースを検索
    response = bedrock_agent_runtime.retrieve(
        knowledgeBaseId=KB_ID,
        retrievalConfiguration={
            'vectorSearchConfiguration': {
                'numberOfResults': 1,  # 取得件数
                'overrideSearchType': 'SEMANTIC',  # セマンティック検索
            }
        },
        retrievalQuery={
            'text': query
        }
    )
    # 検索結果からテキストを抽出
    if "retrievalResults" in response:
        for r in response["retrievalResults"]:
            results.append(r["content"]["text"])
    return results

{
    "toolSpec": {
        "name": "locationMcpTool",
        "description": "Access location services to find places, addresses, nearby locations.",
        "inputSchema": {
            "json": JSON.stringify({
                "type": "object",
                "properties": {
                  "tool": {
                    "type": "string",
                    "description": "The function name to search the location service. One of: search_places, get_place, search_nearby, reverse_geocode",
                  },
                  "query": {
                    "type": "string",
                    "description": "The search query to find relevant information"
                  }
                },
                "required": ["query"]
              }
            )
          }
    }
}