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从您的 AgentCore 网关接收进度通知 - Amazon Bedrock AgentCore
先决条件进度通知的工作原理代码示例

从您的 AgentCore 网关接收进度通知

进度通知允许 MCP 服务器目标报告长时间运行的工具调用的增量进度。当工具调用需要一段时间才能完成时，服务器可以发送notifications/progress事件，让客户端随时了解操作的状态。 AgentCore Gateway 将这些来自 MCP 服务器目标的通知作为 Server-Sent 事件 (SSE) 区块转发到您的客户端。

先决条件

要从您的网关接收进度通知，请执行以下操作：

  • 启用响应流-在连接打开期间，进度通知以 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-进度通知源自 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。

进度通知的工作原理

当客户端发出tools/call请求参数progressToken中包含的请求时，MCP 服务器目标可以在执行期间发送notifications/progress事件。在最终工具结果之前，网关将这些事件作为 SSE 区块转发给客户端。

每份进度通知都包括：

  • progressToken— 与原始请求中提供的令牌相匹配。

  • progress— 当前进度值（数字）。

  • total— 表示完成目标的可选总值。

  • message— 可选的人类可读的当前状态描述。

代码示例

例
curl

  1. 使用进度令牌调用工具：

    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": "analyzeDataset",
      "arguments": {
        "datasetId": "ds-12345"
      },
      "_meta": {
        "progressToken": "progress-1"
      }
    }
}'

    网关返回一个 SSE 流，其中包含进度通知，然后是最终结果：

    event: message
data: {"jsonrpc":"2.0","method":"notifications/progress","params":{"progressToken":"progress-1","progress":1,"total":4,"message":"Loading dataset..."}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/progress","params":{"progressToken":"progress-1","progress":2,"total":4,"message":"Running analysis..."}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/progress","params":{"progressToken":"progress-1","progress":3,"total":4,"message":"Generating report..."}}

event: message
data: {"jsonrpc":"2.0","method":"notifications/progress","params":{"progressToken":"progress-1","progress":4,"total":4,"message":"Complete"}}

event: message
data: {"jsonrpc":"2.0","id":"tool-call-1","result":{"content":[{"type":"text","text":"Analysis complete. Found 3 anomalies in dataset ds-12345."}]}}
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 with progress token (streaming response)
response = requests.post(gateway_url, headers=headers, json={
    "jsonrpc": "2.0",
    "id": "tool-call-1",
    "method": "tools/call",
    "params": {
        "name": "analyzeDataset",
        "arguments": {"datasetId": "ds-12345"},
        "_meta": {"progressToken": "progress-1"}
    }
}, stream=True)

# Process SSE events
client = sseclient.SSEClient(response)
for event in client.events():
    data = json.loads(event.data)
    if data.get("method") == "notifications/progress":
        params = data["params"]
        print(f"Progress: {params['progress']}/{params.get('total', '?')} - {params.get('message', '')}")
    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 progress_handler(progress_token, progress, total, message=None):
    """Handle progress notifications."""
    print(f"[{progress}/{total}] {message or ''}")

async def use_progress(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,
            progress_handler=progress_handler
        ) as session:
            await session.initialize()

            # Call tool with progress token - notifications handled by callback
            result = await session.call_tool(
                name="analyzeDataset",
                arguments={"datasetId": "ds-12345"}
            )
            print(f"Tool result: {result}")
            return result

asyncio.run(use_progress(
    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 progress notifications automatically
with mcp_client:
    agent = Agent(tools=mcp_client.list_tools_sync())
    response = agent("Analyze dataset ds-12345")
    print(response)