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从您的 AgentCore 网关接收日志消息 - Amazon Bedrock AgentCore
先决条件日志级别记录消息的工作原理代码示例

从您的 AgentCore 网关接收日志消息

MCP 服务器目标可以在工具执行期间使用该notifications/message方法向客户端发送日志消息。这些消息提供服务器正在执行的操作的实时可见性，这对于调试、审计和监控工具行为非常有用。 AgentCore Gateway 将这些来自 MCP 服务器目标的日志通知作为 Server-Sent 事件 (SSE) 区块转发到您的客户端。

先决条件

要从您的网关接收日志消息，请执行以下操作：

  • 启用响应流-在打开的连接期间，日志消息以 SSE 区块的形式传送。true在streamingConfiguration.enableResponseStreaming您的网关中设置为protocolConfiguration.mcp。

  • MCP 服务器目标类型-日志消息源自 MCP 服务器目标。

  • 客户端发送Accept: text/event-stream标头-客户端必须请求 SSE 响应才能接收流媒体事件。

日志级别

MCP 按严重性递增的顺序定义以下日志级别：

级别 说明

debug

用于故障排除的详细诊断信息。

info

有关正常操作的一般信息性消息。

notice

正常但重要的事件。

warning

不会阻止操作的潜在有害情况。

error

阻止特定操作的错误条件。

critical

需要立即关注的危急情况。

alert

必须立即采取行动。

emergency

系统无法使用。

记录消息的工作原理

当 MCP 服务器目标notifications/message在工具执行期间发出时，网关会将其作为 SSE 事件转发给客户端。每条日志消息包括：

  • level— 消息的严重性级别。

  • logger— 标识源组件的可选名称。

  • data— 日志内容（字符串或结构化对象）。

日志消息是信息性的，不需要客户端的响应。它们与其他 SSE 事件（例如进度通知和最终工具结果）一起交付。

代码示例

例
curl

  1. 调用工具并在 SSE 直播中接收日志消息：

    curl -N -X POST \
  https://mygateway-abcdefghij.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "id": "tool-call-1",
    "method": "tools/call",
    "params": {
      "name": "deployService",
      "arguments": {
        "serviceName": "my-api",
        "environment": "staging"
      }
    }
}'

    网关返回带有日志消息的 SSE 流，后面是最终结果：

    event: message
data: {"jsonrpc":"2.0","method":"notifications/message","params":{"level":"info","logger":"deploy-service","data":"Starting deployment of my-api to staging"}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/message","params":{"level":"info","logger":"deploy-service","data":"Building container image..."}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/message","params":{"level":"warning","logger":"deploy-service","data":"Deprecated configuration detected in service manifest"}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/message","params":{"level":"info","logger":"deploy-service","data":"Deployment complete"}}

event: message
data: {"jsonrpc":"2.0","id":"tool-call-1","result":{"content":[{"type":"text","text":"Successfully deployed my-api to staging environment."}]}}
Python requests package

  1. import requests
import json
import sseclient

gateway_url = "https://mygateway-abcdefghij.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp"
headers = {
    "Content-Type": "application/json",
    "Accept": "text/event-stream",
    "Authorization": "Bearer YOUR_ACCESS_TOKEN"
}

# Call tool (streaming response)
response = requests.post(gateway_url, headers=headers, json={
    "jsonrpc": "2.0",
    "id": "tool-call-1",
    "method": "tools/call",
    "params": {
        "name": "deployService",
        "arguments": {"serviceName": "my-api", "environment": "staging"}
    }
}, stream=True)

# Process SSE events
client = sseclient.SSEClient(response)
for event in client.events():
    data = json.loads(event.data)
    if data.get("method") == "notifications/message":
        params = data["params"]
        print(f"[{params['level'].upper()}] {params.get('logger', '')}: {params['data']}")
    elif "result" in data:
        print(f"Tool result: {data['result']}")
        break
MCP Client

  1. from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
import asyncio

async def log_handler(level, logger, data):
    """Handle log messages from the server."""
    print(f"[{level.upper()}] {logger or 'server'}: {data}")

async def use_logging(url, token):
    headers = {"Authorization": f"Bearer {token}"}

    async with streamablehttp_client(url=url, headers=headers) as (
        read_stream, write_stream, _
    ):
        async with ClientSession(
            read_stream, write_stream,
            logging_handler=log_handler
        ) as session:
            await session.initialize()

            # Call tool - log messages handled by callback
            result = await session.call_tool(
                name="deployService",
                arguments={"serviceName": "my-api", "environment": "staging"}
            )
            print(f"Tool result: {result}")
            return result

asyncio.run(use_logging(
    url="https://mygateway-abcdefghij.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp",
    token="YOUR_ACCESS_TOKEN"
))
Strands MCP Client

  1. from mcp.client.streamable_http import streamablehttp_client
from strands import Agent
from strands.tools.mcp import MCPClient

mcp_url = "https://mygateway-abcdefghij.gateway.bedrock-agentcore.us-west-2.amazonaws.com/mcp"
access_token = "YOUR_ACCESS_TOKEN"

mcp_client = MCPClient(
    lambda: streamablehttp_client(
        mcp_url, headers={"Authorization": f"Bearer {access_token}"}
    )
)

# Strands handles streaming and log messages automatically
with mcp_client:
    agent = Agent(tools=mcp_client.list_tools_sync())
    response = agent("Deploy my-api to staging")
    print(response)