{"id":92256,"date":"2026-08-09T21:24:50","date_gmt":"2026-08-09T13:24:50","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/92256.html"},"modified":"2026-08-09T21:24:50","modified_gmt":"2026-08-09T13:24:50","slug":"langchain-1-0-%e4%b8%ad%e9%97%b4%e4%bb%b6%e9%80%9a%e5%85%b3%e6%8c%87%e5%8d%97%ef%bc%9a%e4%bb%8e%e5%bc%82%e6%ad%a5%e5%9f%ba%e7%9f%b3%e5%88%b0%e7%94%9f%e4%ba%a7%e7%ba%a7%e4%b8%89%e5%a4%a7%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/92256.html","title":{"rendered":"LangChain 1.0 \u4e2d\u95f4\u4ef6\u901a\u5173\u6307\u5357\uff1a\u4ece\u5f02\u6b65\u57fa\u77f3\u5230\u751f\u4ea7\u7ea7\u4e09\u5927\u4ef6(\u5341\u4e00)"},"content":{"rendered":"

🚀 \u5f00\u7bc7：\u522b\u8ba9\u4f60\u7684Agent"\u6392\u961f\u529e\u4e8b"<\/h3>\n

\u5f88\u591a\u670b\u53cb\u5199\u667a\u80fd\u4f53，\u5f80\u5f80\u5361\u5728\u4e24\u6b65：<\/p>\n\n\u95ee\u9898\u8868\u8c61\u6839\u56e0<\/tr>\n\n\n\n
\u7a0b\u5e8f\u8dd1\u5f97\u6162<\/td>\n\u4e0b\u8f7d3\u5f20\u56fe\u82b1\u4e866\u79d2<\/td>\n\u540c\u6b65I\/O，CPU\u5728\u7b49，\u7ebf\u7a0b\u5728\u7761<\/td>\n<\/tr>\n
\u9879\u76ee\u6ca1\u6cd5\u4e0a\u7ebf<\/td>\n\u5bf9\u8bdd\u7206\u4e0a\u4e0b\u6587\u3001\u5de5\u5177\u88ab\u6ee5\u7528\u3001\u51fa\u95ee\u9898\u6ca1\u65e5\u5fd7<\/td>\n\u7f3a\u5c11\u4e2d\u95f4\u4ef6\u6cbb\u7406<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5f02\u6b65\u89e3\u51b3\u7b2c\u4e00\u4e2a\u95ee\u9898，\u4e2d\u95f4\u4ef6\u89e3\u51b3\u7b2c\u4e8c\u4e2a\u95ee\u9898\u3002<\/p>\n

\u4eca\u5929\u54b1\u4eec\u5c31\u628a\u540c\u6b65\/\u5f02\u6b65\u3001MCP\u3001\u4e2d\u95f4\u4ef6\u8fd9\u4e09\u4e2a\u786c\u9aa8\u5934，\u4e00\u6b21\u5543\u900f\u3002<\/p>\n

\n

📦 \u7b2c\u4e00\u90e8\u5206：\u5730\u57fa\u2014\u2014Python\u5f02\u6b65，\u4e0d\u662f"\u591a\u7ebf\u7a0b"\u7684\u5e73\u66ff<\/h3>\n

\u26a0\ufe0f\u00a0\u6838\u5fc3\u8ba4\u77e5：\u00a0\u5f02\u6b65\u662f\u5355\u7ebf\u7a0b\u4efb\u52a1\u8c03\u5ea6，\u4e0d\u662f\u5e76\u884c\u8ba1\u7b97\u3002<\/p>\n

🔸 \u540c\u6b65 = \u6392\u961f\u529e\u4e8b<\/h4>\n

import time
\ntime.sleep(2) # CPU\u5728\u8fd9\u5e72\u77aa\u773c，\u7ebf\u7a0b\u88ab\u963b\u585e<\/p>\n

\u4efb\u52a1\u6309\u987a\u5e8f\u6267\u884c，\u524d\u4e00\u4e2aI\/O\u6ca1\u5b8c，\u540e\u9762\u7684\u53ea\u80fd\u7b49\u7740\u3002<\/p>\n

🔸 \u5f02\u6b65 = \u53eb\u53f7\u7cfb\u7edf<\/h4>\n

import asyncio
\nawait asyncio.sleep(2) # \u91ca\u653e\u7ebf\u7a0b，CPU\u53bb\u5904\u7406\u5176\u4ed6\u4efb\u52a1<\/p>\n

\u63d0\u4ea4\u4efb\u52a1\u540e\u4e0d\u7528\u50bb\u7b49，I\/O\u5b8c\u6210\u4e86\u4f1a\u81ea\u52a8\u901a\u77e5\u4f60\u3002<\/p>\n

📊 \u4e00\u56fe\u770b\u61c2\u533a\u522b<\/h4>\n\n\u5bf9\u6bd4\u9879\u540c\u6b65\u5f02\u6b65<\/tr>\n\n\n\n\n\n
\u6267\u884c\u65b9\u5f0f<\/td>\n\u987a\u5e8f\u6267\u884c<\/td>\n\u4efb\u52a1\u7a7f\u63d2<\/td>\n<\/tr>\n
CPU\u72b6\u6001<\/td>\n\u7a7a\u95f2\u7b49\u5f85<\/td>\n\u5fd9\u4e2a\u4e0d\u505c<\/td>\n<\/tr>\n
\u9002\u7528\u573a\u666f<\/td>\nCPU\u5bc6\u96c6\u578b<\/td>\nI\/O\u5bc6\u96c6\u578b<\/td>\n<\/tr>\n
\u5178\u578b\u5e94\u7528<\/td>\n\u6570\u5b66\u8ba1\u7b97<\/td>\n\u722c\u866b\u3001API\u8c03\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

🎯\u00a0\u8bb0\u4f4f\u4e00\u53e5\u8bdd：\u00a0\u5f02\u6b65\u4e0d\u662f\u8ba9\u7a0b\u5e8f"\u8dd1\u5f97\u66f4\u5feb"，\u800c\u662f\u8ba9\u7a0b\u5e8f"\u5fd9\u8d77\u6765\u4e0d\u95f2\u7740"\u3002<\/p>\n

\n

🔌 \u7b2c\u4e8c\u90e8\u5206：MCP\u534f\u8bae\u2014\u2014Agent\u4e16\u754c\u7684"USB\u63a5\u53e3"<\/h3>\n

\u6709\u4e86\u5f02\u6b65\u8c03\u5ea6，\u63a5\u4e0b\u6765\u89e3\u51b3\u5de5\u5177\u600e\u4e48\u63a5\u7684\u95ee\u9898\u3002<\/p>\n

\u4ee5\u524d\u600e\u4e48\u63a5\u5de5\u5177？<\/h4>\n

# \u6bcf\u4e2a\u5de5\u5177\u90fd\u8981\u5199\u5b9a\u5236\u4ee3\u7801
\ndef call_weather_api(city):
\n # \u5b9a\u5236HTTP\u8bf7\u6c42…<\/p>\n

def call_database_query(sql):
\n # \u5b9a\u5236\u6570\u636e\u5e93\u8fde\u63a5…<\/p>\n

\u6362\u4e00\u4e2aAgent\u6846\u67b6，\u5168\u90e8\u91cd\u5199\u3002<\/p>\n

\u73b0\u5728\u7528MCP<\/h4>\n

MCP =\u00a0\u6a21\u578b\u4e0a\u4e0b\u6587\u534f\u8bae，\u6807\u51c6\u5316\u5de5\u5177\u7684\u5b9a\u4e49\u548c\u8c03\u7528\u3002<\/p>\n

from langchain_mcp_adapters.client import MultiServerMCPClient<\/p>\n

client = MultiServerMCPClient({
\n "weather": {
\n "transport": "streamable_http",
\n "url": "http:\/\/localhost:8000\/mcp"
\n },
\n "math": {
\n "transport": "stdio",
\n "command": "python",
\n "args": ["math_server.py"]
\n }
\n})
\ntools = await client.get_tools() # \u4e00\u628a\u68ad，\u5168\u91cf\u62c9\u53d6<\/p>\n

MCP\u4e24\u79cd\u4f20\u8f93\u65b9\u5f0f<\/h4>\n\n\u4f20\u8f93\u65b9\u5f0f\u9002\u7528\u573a\u666f\u7279\u70b9<\/tr>\n\n\n\n
stdio<\/td>\n\u672c\u5730\u5de5\u5177<\/td>\n\u5b50\u8fdb\u7a0b\u62c9\u8d77，\u4f4e\u5ef6\u8fdf<\/td>\n<\/tr>\n
HTTP<\/td>\n\u8de8\u670d\u52a1\u8c03\u7528<\/td>\n\u7f51\u7edc\u66b4\u9732，\u53ef\u5206\u5e03\u5f0f\u90e8\u7f72<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

🎯\u00a0MCP\u6700\u5927\u4ef7\u503c：\u00a0\u5de5\u5177\u72ec\u7acb\u90e8\u7f72\u3001\u72ec\u7acb\u5347\u7ea7，Agent\u53ea\u7ba1\u8c03\u7528，\u89e3\u8026！<\/p>\n

\n

🛡\ufe0f \u7b2c\u4e09\u90e8\u5206：\u4e2d\u95f4\u4ef6\u2014\u2014Agent\u7684"\u751f\u4ea7\u7ea7\u62a4\u57ce\u6cb3"（\u91cd\u70b9）<\/h3>\n

\u5982\u679c\u8bf4\u5f02\u6b65\u662f\u53d1\u52a8\u673a，MCP\u662f\u63a5\u53e3，\u90a3\u4e2d\u95f4\u4ef6\u5c31\u662f\u4fdd\u969c\u7cfb\u7edf\u7a33\u5b9a\u3001\u5408\u89c4\u3001\u53ef\u9760\u7684"\u62a4\u57ce\u6cb3"\u3002<\/p>\n

LangChain 1.0\u7684\u4e2d\u95f4\u4ef6\u5206\u4e09\u5927\u7c7b：<\/p>\n

\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
\n\u2502 \u4e2d\u95f4\u4ef6\u4e09\u5927\u4ef6 \u2502
\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524
\n\u2502 1. \u9884\u7f6e\u4e2d\u95f4\u4ef6 \u2502 \u5f00\u7bb1\u5373\u7528，\u914d\u7f6e\u5c31\u884c \u2502
\n\u2502 2. \u88c5\u9970\u5668\u4e2d\u95f4\u4ef6 \u2502 \u8f7b\u91cf\u7ea7\u5207\u9762，\u4e00\u4e2a\u6ce8\u89e3\u641e\u5b9a \u2502
\n\u2502 3. \u7c7b\u4e2d\u95f4\u4ef6 \u2502 \u590d\u6742\u903b\u8f91，\u7ec4\u5408\u94a9\u5b50 \u2502
\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

\n

🔸 1. \u9884\u7f6e\u4e2d\u95f4\u4ef6：\u5f00\u7bb1\u5373\u7528\u7684"\u5b89\u5168\u9600"<\/h4>\n

\u2460 SummarizationMiddleware（\u81ea\u52a8\u6458\u8981）<\/h5>\n

\u5bf9\u8bdd\u4e00\u957f\u5c31\u7206\u4e0a\u4e0b\u6587\u7a97\u53e3？\u8fd9\u4e2a\u4e2d\u95f4\u4ef6\u81ea\u52a8\u538b\u7f29\u65e9\u671f\u5386\u53f2\u3002<\/p>\n

from langchain.agents.middleware import SummarizationMiddleware<\/p>\n

agent = create_agent(
\n model="gpt-4",
\n tools=[…],
\n middleware=[SummarizationMiddleware(
\n trigger=("tokens", 1000), # \u8d85\u8fc71000 token\u89e6\u53d1
\n keep=("messages", 5) # \u4fdd\u7559\u6700\u8fd15\u6761
\n )]
\n)<\/p>\n

\u539f\u7406：\u00a0\u524d15\u8f6e\u5bf9\u8bdd \u2192 \u538b\u7f29\u6210"\u7528\u6237\u8be2\u95ee\u4e86\u9000\u8d27\u653f\u7b56" \u2192 \u7701Token\u3001\u7701\u6210\u672c\u3002<\/p>\n

\n
\u2461 Human-in-the-loop（\u4eba\u5de5\u5ba1\u6838）<\/h5>\n

delete_file\u3001send_email\u8fd9\u7c7b\u64cd\u4f5c，\u5fc5\u987b\u4eba\u70b9\u5934\u624d\u80fd\u6267\u884c\u3002<\/p>\n

from langchain.agents.middleware import HumanInTheLoopMiddleware<\/p>\n

agent = create_agent(
\n model="gpt-4",
\n tools=[dangerous_tool],
\n middleware=[HumanInTheLoopMiddleware(
\n tools=["dangerous_write"],
\n interrupt=True
\n )],
\n checkpointer=InMemorySaver() # \u26a0\ufe0f \u5fc5\u987b\u6709，\u5426\u5219\u72b6\u6001\u4e22\u5931
\n)<\/p>\n

\u4e09\u79cd\u51b3\u7b56：<\/p>\n\n\u51b3\u7b56\u6548\u679c<\/tr>\n\n\n\n\n
\u2705 approve<\/td>\n\u6279\u51c6\u6267\u884c<\/td>\n<\/tr>\n
\u270f\ufe0f edit<\/td>\n\u4fee\u6539\u53c2\u6570\u540e\u6267\u884c<\/td>\n<\/tr>\n
\u274c reject<\/td>\n\u62d2\u7edd\u6267\u884c，\u8fd4\u56de\u63d0\u793a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u26a0\ufe0f\u00a0\u8e29\u5751\u63d0\u9192：\u00a0HITL\u5fc5\u987b\u914d\u5408checkpointer，\u5426\u5219\u4e2d\u65ad\u540e\u65e0\u6cd5\u6062\u590d\u3002<\/p>\n

\n

🔸 2. \u88c5\u9970\u5668\u4e2d\u95f4\u4ef6：\u8f7b\u91cf\u7ea7"\u5207\u9762"<\/h4>\n

\u53ea\u60f3\u5728\u67d0\u4e2a\u8282\u70b9\u63d2\u4e00\u811a（\u8bb0\u65e5\u5fd7\u3001\u6821\u9a8c\u8f93\u5165）？\u4e00\u4e2a\u6ce8\u89e3\u641e\u5b9a\u3002<\/p>\n

\u94a9\u5b50\u5206\u7c7b<\/h5>\n\n\u7c7b\u578b\u88c5\u9970\u5668\u89e6\u53d1\u65f6\u673a<\/tr>\n\n\n\n\n\n
\u8282\u70b9\u5f0f<\/td>\n@before_agent<\/td>\nAgent\u6267\u884c\u524d<\/td>\n<\/tr>\n
\u8282\u70b9\u5f0f<\/td>\n@after_model<\/td>\n\u6a21\u578b\u54cd\u5e94\u540e<\/td>\n<\/tr>\n
\u5305\u88f9\u5f0f<\/td>\n@wrap_tool_call<\/td>\n\u5de5\u5177\u8c03\u7528\u524d\u540e<\/td>\n<\/tr>\n
\u4fbf\u6377\u5f0f<\/td>\n@dynamic_prompt<\/td>\n\u52a8\u6001\u4fee\u6539\u63d0\u793a\u8bcd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u5b9e\u6218：\u62e6\u622a\u654f\u611f\u8bcd<\/h5>\n

from langchain.agents.middleware import after_model<\/p>\n

@after_model
\ndef block_sensitive_words(state, response):
\n if "BLOCKED_CN" in response["output"]:
\n return {"output": "\u26a0\ufe0f \u68c0\u6d4b\u5230\u8fdd\u89c4\u5185\u5bb9，\u5df2\u7ec8\u6b62\u8f93\u51fa\u3002"}
\n return response<\/p>\n

\n

🔸 3. \u7c7b\u4e2d\u95f4\u4ef6：\u590d\u6742\u903b\u8f91\u7684"\u6838\u6b66\u5668"<\/h4>\n

\u9700\u8981\u7ec4\u5408\u591a\u4e2a\u94a9\u5b50\u3001\u7ef4\u62a4\u72b6\u6001？\u7ee7\u627fAgentMiddleware\u3002<\/p>\n

class LoggingMiddleware(AgentMiddleware):
\n def before_agent(self, state, runtime):
\n print(f"[{time.time()}] Agent\u5f00\u59cb\u6267\u884c")<\/p>\n

def after_agent(self, state, runtime):
\n print(f"[{time.time()}] Agent\u6267\u884c\u5b8c\u6bd5")<\/p>\n

\u5173\u952e\u89c4\u5219：<\/p>\n

    \n
  • \n

    \u2705 \u5fc5\u987b\u7ee7\u627fAgentMiddleware<\/p>\n<\/li>\n

  • \n

    \u2705 \u65b9\u6cd5\u540d\u56fa\u5b9a：before_agent\u3001after_model\u7b49<\/p>\n<\/li>\n

  • \n

    \u2705 \u6bcf\u6b21\u8c03\u7528\u8981new\u5bf9\u8c61，\u4e0d\u8981\u4f20\u7c7b<\/p>\n<\/li>\n<\/ul>\n

    \n

    🔄 \u4e2d\u95f4\u4ef6\u6267\u884c\u987a\u5e8f："\u6d0b\u8471\u6a21\u578b"<\/h4>\n

    \u591a\u4e2a\u4e2d\u95f4\u4ef6\u5171\u5b58\u65f6，\u6267\u884c\u987a\u5e8f\u662f\u5148\u5165\u540e\u51fa：<\/p>\n

    \u6ce8\u518c：[A, B, C]<\/p>\n

    \u6267\u884c\u6d41\u7a0b：
    \nbefore_A \u2192 before_B \u2192 before_C \u2192 \u3010\u6838\u5fc3\u8c03\u7528\u3011 \u2192 after_C \u2192 after_B \u2192 after_A<\/p>\n

    \u5b9e\u6218\u5efa\u8bae：<\/p>\n\n\u4f18\u5148\u7ea7\u4e2d\u95f4\u4ef6\u7c7b\u578b\u7406\u7531<\/tr>\n\n\n\n\n
    \u6700\u5916\u5c42<\/td>\n\u5b89\u5168\u7c7b（HITL）<\/td>\n\u5148\u5b89\u68c0，\u540e\u5e72\u6d3b<\/td>\n<\/tr>\n
    \u4e2d\u95f4\u5c42<\/td>\n\u65e5\u5fd7\u7c7b<\/td>\n\u8bb0\u5f55\u5b8c\u6574\u94fe\u8def<\/td>\n<\/tr>\n
    \u6700\u5185\u5c42<\/td>\n\u6027\u80fd\u7c7b（Summarization）<\/td>\n\u6700\u540e\u4f18\u5316\u4e0a\u4e0b\u6587<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \n

    \u26a0\ufe0f \u7b2c\u56db\u90e8\u5206：\u907f\u5751\u6307\u5357\u2014\u2014\u4e09\u4e2a\u81f4\u547d\u8bef\u533a<\/h3>\n\n\u8bef\u533a\u6b63\u786e\u7406\u89e3\u540e\u679c<\/tr>\n\n\n\n\n
    \u5f02\u6b65=\u591a\u7ebf\u7a0b<\/td>\n\u5f02\u6b65\u662f\u5355\u7ebf\u7a0b\u8c03\u5ea6<\/td>\n\u6df7\u7528\u6982\u5ff5，\u4ee3\u7801\u5199\u9519<\/td>\n<\/tr>\n
    \u5f02\u6b65\u91cc\u7528\u540c\u6b65\u5e93<\/td>\nasync\u91cc\u4e0d\u80fd\u7528requests<\/td>\n\u7ebf\u7a0b\u963b\u585e，\u5f02\u6b65\u5931\u6548<\/td>\n<\/tr>\n
    \u4e2d\u95f4\u4ef6\u987a\u5e8f\u4e71\u653e<\/td>\nHITL\u5fc5\u987b\u5728\u6700\u5916\u5c42<\/td>\n\u5b89\u5168\u6f0f\u6d1e，\u654f\u611f\u64cd\u4f5c\u6f0f\u5ba1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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