{"id":87792,"date":"2026-07-30T21:48:29","date_gmt":"2026-07-30T13:48:29","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/87792.html"},"modified":"2026-07-30T21:48:29","modified_gmt":"2026-07-30T13:48:29","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e9%87%91%e9%b1%bc%e8%84%91%e7%bb%88%e7%bb%93%e8%80%85%ef%bc%81ai-agent%e7%9f%ad%e6%9c%9f%e8%ae%b0%e5%bf%86%e4%b8%8e%e9%95%bf%e6%9c%9f%e8%ae%b0%e5%bf%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/87792.html","title":{"rendered":"\u5927\u6a21\u578b\u201c\u91d1\u9c7c\u8111\u201d\u7ec8\u7ed3\u8005\uff01AI Agent\u77ed\u671f\u8bb0\u5fc6\u4e0e\u957f\u671f\u8bb0\u5fc6\u673a\u5236\u8bbe\u8ba1\u53caLangChain\u72b6\u6001\u7ba1\u7406\u6e90\u7801\u5256\u6790"},"content":{"rendered":"

\u524d\u8a00<\/h3>\n

\u5728\u6784\u5efaAI\u667a\u80fd\u4f53（Agent）\u7684\u8fc7\u7a0b\u4e2d，\u6211\u8e29\u8fc7\u6700\u6df1\u7684\u4e00\u4e2a\u5751\u5c31\u662f\u2014\u2014\u5927\u6a21\u578b\u662f\u4e2a\u201c\u91d1\u9c7c\u8111\u201d \u3002\u65e0\u8bba\u4f60\u4e0a\u4e00\u8f6e\u8ddf\u5b83\u804a\u4e86\u4ec0\u4e48，\u4e0b\u4e00\u8f6e\u5b83\u53ef\u80fd\u5c31\u5fd8\u5f97\u4e00\u5e72\u4e8c\u51c0\u3002<\/p>\n

\u8fd9\u4e0d\u662f\u5927\u6a21\u578b\u7684\u201c\u6001\u5ea6\u95ee\u9898\u201d，\u800c\u662f\u5b83\u7684\u5e95\u5c42\u8bbe\u8ba1\u51b3\u5b9a\u7684：\u6240\u6709\u5927\u6a21\u578b\u672c\u8d28\u4e0a\u90fd\u662f\u201c\u65e0\u72b6\u6001\u201d\u7684\u2014\u2014\u5b83\u5bf9\u6bcf\u4e00\u6b21\u8bf7\u6c42\u7684\u5904\u7406\u90fd\u662f\u72ec\u7acb\u7684，\u4e0d\u4f1a\u4e3b\u52a8\u7559\u5b58\u4e0a\u4e00\u8f6e\u5bf9\u8bdd\u7684\u4efb\u4f55\u4fe1\u606f\u3002\u60f3\u8ba9\u5927\u6a21\u578b\u201c\u8bb0\u4f4f\u201d\u4e0a\u4e0b\u6587，\u672c\u8d28\u4e0a\u9700\u8981\u505a\u4e24\u4ef6\u4e8b：\u8bb0\u5f55\u5386\u53f2（\u5c06\u7528\u6237\u63d0\u95ee\u548c\u6a21\u578b\u56de\u7b54\u5b58\u50a8\u5728\u5916\u90e8\u8f7d\u4f53\u4e2d），\u4ee5\u53ca\u5728\u53d1\u8d77\u65b0\u8bf7\u6c42\u65f6\u5c06\u5386\u53f2\u5bf9\u8bdd\u62fc\u63a5\u5230\u63d0\u793a\u8bcd\u4e2d\u3002<\/p>\n

\u5bf9\u4e8e\u7b80\u5355\u7684\u5bf9\u8bdd\u673a\u5668\u4eba，\u8fd9\u4e2a\u95ee\u9898\u53ef\u80fd\u8fd8\u597d\u89e3\u51b3\u3002\u4f46\u5f53\u4f60\u7684Agent\u9700\u8981\u6267\u884c\u590d\u6742\u957f\u94fe\u4efb\u52a1\u2014\u2014\u6bd4\u5982\u81ea\u52a8\u5b8c\u6210\u4e00\u4efd\u5e02\u573a\u8c03\u7814\u62a5\u544a\u3001\u534f\u8c03\u591a\u4e2a\u5b50Agent\u5b8c\u6210\u4f9b\u5e94\u94fe\u8c03\u5ea6\u2014\u2014\u8bb0\u5fc6\u673a\u5236\u7684\u7f3a\u5931\u5c31\u4f1a\u6210\u4e3a\u81f4\u547d\u7684\u77ed\u677f\u3002\u4efb\u52a1\u6267\u884c\u5230\u4e00\u534a，Agent\u5fd8\u4e86\u4e4b\u524d\u6536\u96c6\u4e86\u4ec0\u4e48\u4fe1\u606f；\u8de8\u4f1a\u8bdd\u4ea4\u4e92\u65f6，Agent\u8ba4\u4e0d\u51fa\u8fd9\u662f\u201c\u8001\u719f\u4eba\u201d\u3002<\/p>\n

\u672c\u6587\u5c06\u6df1\u5165\u5256\u6790LangChain\u751f\u6001\u4e2d\u7684\u8bb0\u5fc6\u673a\u5236\u8bbe\u8ba1，\u4ece\u77ed\u671f\u8bb0\u5fc6\u7684\u591a\u79cd\u5b9e\u73b0\u7b56\u7565\u5230\u957f\u671f\u8bb0\u5fc6\u7684\u67b6\u6784\u65b9\u6848，\u7ed3\u5408\u6e90\u7801\u89e3\u8bfb，\u5e2e\u4f60\u5f7b\u5e95\u641e\u61c2\u5982\u4f55\u8ba9AI Agent\u544a\u522b\u201c\u91d1\u9c7c\u8111\u201d\u3002<\/p>\n

\u4e00\u3001\u8bb0\u5fc6\u7684\u672c\u8d28：\u4ece\u201c\u65e0\u72b6\u6001\u201d\u5230\u201c\u6709\u8bb0\u5fc6\u201d<\/h3>\n

\u5728\u6df1\u5165\u6846\u67b6\u4e4b\u524d，\u6211\u4eec\u5148\u5efa\u7acb\u4e00\u4e2a\u6838\u5fc3\u8ba4\u77e5：\u6240\u8c13\u201c\u8bb0\u5fc6\u201d，\u672c\u8d28\u662f\u901a\u8fc7\u5916\u90e8\u7cfb\u7edf\u5b58\u50a8\u5bf9\u8bdd\u5386\u53f2，\u518d\u5c06\u5176\u52a8\u6001\u62fc\u63a5\u81f3\u63d0\u793a\u8bcd\u4e2d\u3002<\/p>\n

LangChain\u901a\u8fc7Memory\u7ec4\u4ef6\u5c06\u8fd9\u4e2a\u201c\u8bb0\u5f55-\u5b58\u50a8-\u62fc\u63a5\u201d\u7684\u8fc7\u7a0b\u8fdb\u884c\u4e86\u6807\u51c6\u5316\u5c01\u88c5\u3002\u6574\u4e2a\u8bb0\u5fc6\u7cfb\u7edf\u7531\u4e24\u4e2a\u6838\u5fc3\u62bd\u8c61\u5c42\u7ec4\u6210：<\/p>\n\n\u62bd\u8c61\u5c42\u804c\u8d23<\/tr>\n\n\n\n
BaseMemory<\/td>\n\u5b9a\u4e49\u201c\u5982\u4f55\u7ba1\u7406\u8bb0\u5fc6\u201d\u2014\u2014\u4fdd\u5b58\u3001\u52a0\u8f7d\u3001\u6e05\u7a7a\u7b49\u884c\u4e3a\u63a5\u53e3<\/td>\n<\/tr>\n
ChatMessageHistory<\/td>\n\u5b9a\u4e49\u201c\u8bb0\u5fc6\u5b58\u653e\u5728\u54ea\u91cc\u201d\u2014\u2014\u652f\u6301\u5185\u5b58\u3001Redis\u3001\u6570\u636e\u5e93\u7b49\u4e0d\u540c\u540e\u7aef<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7406\u89e3\u8fd9\u4e24\u4e2a\u5c42\u6b21\u540e，\u5c31\u80fd\u8f7b\u677e\u638c\u63e1\u4e0d\u540c\u7c7b\u578b\u8bb0\u5fc6\u673a\u5236\u7684\u8bbe\u8ba1\u903b\u8f91\u3002<\/p>\n

\u4e8c\u3001\u77ed\u671f\u8bb0\u5fc6：\u8ba9Agent\u201c\u8bb0\u4f4f\u521a\u624d\u8bf4\u4e86\u4ec0\u4e48\u201d<\/h3>\n

\u77ed\u671f\u8bb0\u5fc6（Short-term Memory）\u662f\u4f1a\u8bdd\u7ea7\u522b\u7684\u8bb0\u5fc6，\u8d1f\u8d23\u5728\u5355\u6b21\u4f1a\u8bdd\u4e2d\u7ef4\u6301\u5bf9\u8bdd\u4e0a\u4e0b\u6587\u3002LangChain\u63d0\u4f9b\u4e86\u591a\u79cd\u77ed\u671f\u8bb0\u5fc6\u5b9e\u73b0，\u9002\u7528\u4e8e\u4e0d\u540c\u573a\u666f\u3002<\/p>\n

2.1 ConversationBufferMemory：\u5168\u91cf\u8bb0\u5fc6<\/h4>\n

\u6700\u57fa\u7840\u7684\u5b9e\u73b0，\u76f4\u63a5\u5c06\u5b8c\u6574\u5bf9\u8bdd\u5386\u53f2\u4ee5\u5217\u8868\u5f62\u5f0f\u5b58\u50a8\u3002<\/p>\n

from<\/span> langchain.<\/span>memory import<\/span> ConversationBufferMemory
\nfrom<\/span> langchain.<\/span>chains import<\/span> ConversationChain
\nfrom<\/span> langchain.<\/span>chat_models import<\/span> ChatOpenAI<\/p>\n

memory =<\/span> ConversationBufferMemory(<\/span>)<\/span>
\nchain =<\/span> ConversationChain(<\/span>llm=<\/span>ChatOpenAI(<\/span>)<\/span>,<\/span> memory=<\/span>memory)<\/span><\/p>\n

chain.<\/span>run(<\/span>"\u4f60\u597d，\u6211\u53eb\u5f20\u4e09"<\/span>)<\/span>
\nchain.<\/span>run(<\/span>"\u6211\u559c\u6b22\u559d\u62ff\u94c1"<\/span>)<\/span>
\nchain.<\/span>run(<\/span>"\u4f60\u8bb0\u5f97\u6211\u53eb\u4ec0\u4e48\u5417？"<\/span>)<\/span> # \u2705 \u80fd\u8bb0\u4f4f<\/span><\/p>\n

\u539f\u7406：\u6bcf\u6b21\u4ea4\u4e92\u540e，\u5c06\u7528\u6237\u8f93\u5165\u548c\u6a21\u578b\u8f93\u51fa\u8ffd\u52a0\u5230\u5185\u5b58\u5217\u8868\u4e2d；\u8c03\u7528\u65f6\u901a\u8fc7load_memory_variables\u8fd4\u56de\u5b8c\u6574\u5386\u53f2\u3002<\/p>\n

\u9002\u7528\u573a\u666f：\u77ed\u5bf9\u8bdd（\u5982\u5ba2\u670d\u5355\u8f6e\u54a8\u8be2）\u3002\u4f18\u70b9\u662f\u5b8c\u5168\u4fdd\u7559\u7ec6\u8282，\u7f3a\u70b9\u662f\u968f\u5bf9\u8bdd\u957f\u5ea6\u589e\u52a0\u4f1a\u5bfc\u81f4Prompt\u8fc7\u957f，\u8d85\u51fa\u6a21\u578b\u4e0a\u4e0b\u6587\u7a97\u53e3\u3002<\/p>\n

2.2 ConversationBufferWindowMemory：\u6ed1\u52a8\u7a97\u53e3\u8bb0\u5fc6<\/h4>\n

\u5e26\u201c\u7a97\u53e3\u9650\u5236\u201d\u7684\u7f13\u51b2\u8bb0\u5fc6，\u53ea\u4fdd\u7559\u6700\u8fd1\u7684k\u8f6e\u5bf9\u8bdd\u3002<\/p>\n

from<\/span> langchain.<\/span>memory import<\/span> ConversationBufferWindowMemory<\/p>\n

memory =<\/span> ConversationBufferWindowMemory(<\/span>k=<\/span>3<\/span>)<\/span> # \u53ea\u4fdd\u7559\u6700\u8fd13\u6761\u6d88\u606f<\/span>
\nchain =<\/span> ConversationChain(<\/span>llm=<\/span>ChatOpenAI(<\/span>)<\/span>,<\/span> memory=<\/span>memory)<\/span><\/p>\n

\u539f\u7406：\u7ef4\u62a4\u4e00\u4e2a\u56fa\u5b9a\u957f\u5ea6\u7684\u6ed1\u52a8\u7a97\u53e3，\u8d85\u8fc7k\u8f6e\u540e\u81ea\u52a8\u4e22\u5f03\u6700\u65e9\u7684\u5bf9\u8bdd\u3002<\/p>\n

\u9002\u7528\u573a\u666f：\u4e2d\u7b49\u957f\u5ea6\u5bf9\u8bdd（\u5982\u591a\u8f6e\u95ee\u7b54），\u5e73\u8861\u4e0a\u4e0b\u6587\u76f8\u5173\u6027\u548c\u957f\u5ea6\u3002<\/p>\n

2.3 ConversationTokenBufferMemory：\u6309Token\u9650\u5236\u8bb0\u5fc6<\/h4>\n

\u6309Token\u6570\u91cf\u9650\u5236\u8bb0\u5fc6，\u786e\u4fdd\u603b\u5bf9\u8bdd\u5386\u53f2\u7684Token\u6570\u4e0d\u8d85\u8fc7\u6a21\u578b\u7a97\u53e3\u3002<\/p>\n

from<\/span> langchain.<\/span>memory import<\/span> ConversationTokenBufferMemory<\/p>\n

memory =<\/span> ConversationTokenBufferMemory(<\/span>llm=<\/span>ChatOpenAI(<\/span>)<\/span>,<\/span> max_token_limit=<\/span>2000<\/span>)<\/span><\/p>\n

\u539f\u7406：\u901a\u8fc7Tokenizer\u8ba1\u7b97\u6bcf\u8f6e\u5bf9\u8bdd\u7684Token\u6570，\u7d2f\u8ba1\u8d85\u8fc7\u9608\u503c\u65f6\u4ece\u6700\u65e9\u7684\u5bf9\u8bdd\u5f00\u59cb\u5220\u9664\u3002<\/p>\n

\u9002\u7528\u573a\u666f：\u5bf9Token\u6210\u672c\u654f\u611f\u6216\u6a21\u578b\u7a97\u53e3\u56fa\u5b9a\u7684\u573a\u666f（\u5982API\u8c03\u7528）\u3002<\/p>\n

2.4 ConversationSummaryMemory：\u6458\u8981\u538b\u7f29\u8bb0\u5fc6<\/h4>\n

\u5bf9\u5bf9\u8bdd\u5386\u53f2\u8fdb\u884c\u201c\u6458\u8981\u538b\u7f29\u201d，\u7528\u6458\u8981\u4ee3\u66ff\u539f\u59cb\u5bf9\u8bdd\u3002<\/p>\n

from<\/span> langchain.<\/span>memory import<\/span> ConversationSummaryMemory<\/p>\n

memory =<\/span> ConversationSummaryMemory(<\/span>llm=<\/span>ChatOpenAI(<\/span>)<\/span>)<\/span>
\nchain =<\/span> ConversationChain(<\/span>llm=<\/span>ChatOpenAI(<\/span>)<\/span>,<\/span> memory=<\/span>memory)<\/span><\/p>\n

\u539f\u7406：\u6bcf\u8f6e\u4ea4\u4e92\u540e\u8c03\u7528LLM\u5bf9\u5386\u53f2\u5bf9\u8bdd\u751f\u6210\u6458\u8981，\u540e\u7eed\u4ec5\u5c06\u6458\u8981\u4f20\u5165Prompt\u3002<\/p>\n

\u9002\u7528\u573a\u666f：\u957f\u5bf9\u8bdd（\u5982\u6301\u7eed\u51e0\u5c0f\u65f6\u7684\u54a8\u8be2），\u907f\u514d\u539f\u59cb\u5386\u53f2\u8fc7\u957f\u3002\u7f3a\u70b9\u662f\u53ef\u80fd\u4e22\u5931\u7ec6\u8282（\u6458\u8981\u7cbe\u5ea6\u4f9d\u8d56LLM）\u3002<\/p>\n

\u4e09\u3001\u6e90\u7801\u5256\u6790：BaseMemory\u6838\u5fc3\u63a5\u53e3\u8bbe\u8ba1<\/h3>\n

\u4e86\u89e3\u4e86\u5404\u79cd\u8bb0\u5fc6\u7c7b\u578b\u540e，\u6211\u4eec\u6df1\u5165\u6e90\u7801\u770b\u770bLangChain\u662f\u5982\u4f55\u8bbe\u8ba1\u8fd9\u5957\u8bb0\u5fc6\u7cfb\u7edf\u7684\u3002<\/p>\n

3.1 BaseMemory\u62bd\u8c61\u57fa\u7c7b<\/h4>\n

BaseMemory\u662f\u6240\u6709\u8bb0\u5fc6\u7c7b\u7684\u62bd\u8c61\u57fa\u7c7b，\u5b9a\u4e49\u4e86\u8bb0\u5fc6\u6a21\u5757\u5fc5\u987b\u5b9e\u73b0\u7684\u6838\u5fc3\u63a5\u53e3：<\/p>\n

from<\/span> abc import<\/span> ABC,<\/span> abstractmethod
\nfrom<\/span> typing import<\/span> Any<\/p>\n

class<\/span> BaseMemory<\/span>(<\/span>Serializable,<\/span> ABC)<\/span>:<\/span>
\n """\u8bb0\u5fc6\u7684\u62bd\u8c61\u57fa\u7c7b，\u5b9a\u4e49\u4e86\u6240\u6709\u8bb0\u5fc6\u7c7b\u578b\u5fc5\u987b\u5b9e\u73b0\u7684\u6838\u5fc3\u63a5\u53e3"""<\/span><\/p>\n

@property<\/span>
\n @abstractmethod<\/span>
\n def<\/span> memory_variables<\/span>(<\/span>self)<\/span> –<\/span>><\/span> list<\/span>[<\/span>str<\/span>]<\/span>:<\/span>
\n """\u8fd4\u56de\u6b64\u8bb0\u5fc6\u7ec4\u4ef6\u7ba1\u7406\u7684\u53d8\u91cf\u540d，\u4f8b\u5982：["history", "summary"]"""<\/span>
\n pass<\/span><\/p>\n

@abstractmethod<\/span>
\n def<\/span> load_memory_variables<\/span>(<\/span>self,<\/span> inputs:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>)<\/span> –<\/span>><\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>:<\/span>
\n """
\n \u52a0\u8f7d\u8bb0\u5fc6\u53d8\u91cf，\u6839\u636e\u8f93\u5165\u83b7\u53d6\u76f8\u5173\u7684\u5386\u53f2\u5185\u5bb9
\n \u8fd4\u56de\u7684\u5b57\u5178\u4f1a\u88ab\u6dfb\u52a0\u5230\u63d0\u793a\u8bcd\u7684\u4e0a\u4e0b\u6587\u4e2d
\n """<\/span>
\n pass<\/span><\/p>\n

@abstractmethod<\/span>
\n def<\/span> save_context<\/span>(<\/span>self,<\/span> inputs:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>,<\/span> outputs:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> str<\/span>]<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n """
\n \u4fdd\u5b58\u5f53\u524d\u5bf9\u8bdd\u4e0a\u4e0b\u6587
\n inputs: \u7528\u6237\u7684\u8f93\u5165，\u5982 {"input": "\u4f60\u597d"}
\n outputs: \u6a21\u578b\u7684\u8f93\u51fa，\u5982 {"output": "\u4f60\u597d！"}
\n """<\/span>
\n pass<\/span><\/p>\n

def<\/span> clear<\/span>(<\/span>self)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
\n """\u6e05\u9664\u6240\u6709\u8bb0\u5fc6\u5185\u5bb9"""<\/span>
\n pass<\/span><\/p>\n

\u8fd9\u5957\u63a5\u53e3\u8bbe\u8ba1\u7684\u7cbe\u5999\u4e4b\u5904\u5728\u4e8e：load_memory_variables\u548csave_context\u6784\u6210\u4e86\u8bb0\u5fc6\u7684\u8bfb\u5199\u95ed\u73af，\u800cmemory_variables\u5219\u544a\u8bc9Chain\u54ea\u4e9b\u53d8\u91cf\u9700\u8981\u88ab\u6ce8\u5165\u5230Prompt\u4e2d\u3002<\/p>\n

3.2 BaseChatMemory：\u804a\u5929\u8bb0\u5fc6\u7684\u5177\u4f53\u5b9e\u73b0<\/h4>\n

BaseChatMemory\u7ee7\u627f\u81eaBaseMemory，\u63d0\u4f9b\u4e86\u804a\u5929\u8bb0\u5fc6\u7684\u901a\u7528\u5b9e\u73b0：<\/p>\n

class<\/span> BaseChatMemory<\/span>(<\/span>BaseMemory,<\/span> ABC)<\/span>:<\/span>
\n """\u804a\u5929\u8bb0\u5fc6\u7684\u57fa\u7840\u7c7b，\u63d0\u4f9b\u4e86\u804a\u5929\u8bb0\u5fc6\u7684\u901a\u7528\u5b9e\u73b0"""<\/span><\/p>\n

chat_memory:<\/span> BaseChatMessageHistory =<\/span> Field(<\/span>
\n default_factory=<\/span>InMemoryChatMessageHistory
\n )<\/span>
\n """\u6d88\u606f\u5386\u53f2\u5b58\u50a8\u5bf9\u8c61，\u53ef\u66ff\u6362\u4e3aRedis\u3001\u6570\u636e\u5e93\u7b49\u4e0d\u540c\u540e\u7aef"""<\/span><\/p>\n

output_key:<\/span> Optional[<\/span>str<\/span>]<\/span> =<\/span> None<\/span>
\n input_key:<\/span> Optional[<\/span>str<\/span>]<\/span> =<\/span> None<\/span>
\n return_messages:<\/span> bool<\/span> =<\/span> False<\/span><\/p>\n

def<\/span> _get_input<\/span>(<\/span>self,<\/span> inputs:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> Any]<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
\n """\u4ece\u8f93\u5165\u4e2d\u83b7\u53d6\u7528\u6237\u6d88\u606f"""<\/span>
\n if<\/span> self.<\/span>input_key is<\/span> not<\/span> None<\/span>:<\/span>
\n return<\/span> inputs[<\/span>self.<\/span>input_key]<\/span>
\n # …<\/span><\/p>\n

\u8fd9\u91cc\u7684\u5173\u952e\u8bbe\u8ba1\u662f\u4f9d\u8d56\u6ce8\u5165：chat_memory\u5b57\u6bb5\u5141\u8bb8\u5f00\u53d1\u8005\u6ce8\u5165\u4e0d\u540c\u7684\u5b58\u50a8\u540e\u7aef\u5b9e\u73b0（\u5185\u5b58\u3001Redis\u3001\u6570\u636e\u5e93\u7b49），\u800c\u4e0d\u9700\u8981\u4fee\u6539\u8bb0\u5fc6\u903b\u8f91\u672c\u8eab\u3002\u8fd9\u5c31\u662f\u201c\u5982\u4f55\u7ba1\u7406\u8bb0\u5fc6\u201d\u4e0e\u201c\u8bb0\u5fc6\u5b58\u653e\u5728\u54ea\u91cc\u201d\u7684\u89e3\u8026\u3002<\/p>\n

\u56db\u3001\u957f\u671f\u8bb0\u5fc6：\u8ba9Agent\u201c\u8bb0\u4f4f\u6628\u5929\u7684\u4e8b\u201d<\/h3>\n

\u77ed\u671f\u8bb0\u5fc6\u89e3\u51b3\u4e86\u201c\u4f1a\u8bdd\u5185\u201d\u7684\u95ee\u9898，\u4f46Agent\u8fd8\u9700\u8981\u201c\u8de8\u4f1a\u8bdd\u201d\u7684\u8bb0\u5fc6\u80fd\u529b\u2014\u2014\u957f\u671f\u8bb0\u5fc6（Long-term Memory） \u3002<\/p>\n

4.1 \u957f\u671f\u8bb0\u5fc6\u7684\u6838\u5fc3\u6311\u6218<\/h4>\n

\u5b9e\u73b0\u957f\u671f\u8bb0\u5fc6\u9762\u4e34\u4e09\u5927\u6280\u672f\u6311\u6218：<\/p>\n

  • \u4e0a\u4e0b\u6587\u7a97\u53e3\u9650\u5236：\u65e0\u6cd5\u5c06\u6240\u6709\u5386\u53f2\u90fd\u585e\u8fdbPrompt<\/li>\n
  • \u8bb0\u5fc6\u6570\u636e\u7684\u6709\u6548\u7ec4\u7ec7：\u5982\u4f55\u7ed3\u6784\u5316\u5b58\u50a8\u6d77\u91cf\u4fe1\u606f<\/li>\n
  • \u957f\u671f\u4e0e\u77ed\u671f\u8bb0\u5fc6\u7684\u5e73\u8861：\u4e24\u8005\u5982\u4f55\u534f\u540c\u5de5\u4f5c<\/li>\n

    4.2 VectorStoreRetrieverMemory：\u5411\u91cf\u68c0\u7d22\u8bb0\u5fc6<\/h4>\n

    LangChain\u63d0\u4f9b\u4e86VectorStoreRetrieverMemory，\u901a\u8fc7\u5411\u91cf\u6570\u636e\u5e93\u5b9e\u73b0\u6d77\u91cf\u5bf9\u8bdd\u7684\u6301\u4e45\u5316\u8bb0\u5fc6\u548c\u8bed\u4e49\u68c0\u7d22：<\/p>\n

    from<\/span> langchain.<\/span>memory import<\/span> VectorStoreRetrieverMemory
    \nfrom<\/span> langchain.<\/span>vectorstores import<\/span> Chroma
    \nfrom<\/span> langchain.<\/span>embeddings import<\/span> OpenAIEmbeddings<\/p>\n

    # \u521d\u59cb\u5316\u5411\u91cf\u6570\u636e\u5e93<\/span>
    \nvectorstore =<\/span> Chroma(<\/span>
    \n embedding_function=<\/span>OpenAIEmbeddings(<\/span>)<\/span>,<\/span>
    \n collection_name=<\/span>"agent_memory"<\/span>
    \n)<\/span><\/p>\n

    # \u521b\u5efa\u68c0\u7d22\u5668<\/span>
    \nretriever =<\/span> vectorstore.<\/span>as_retriever(<\/span>search_kwargs=<\/span>{<\/span>"k"<\/span>:<\/span> 5<\/span>}<\/span>)<\/span><\/p>\n

    # \u521b\u5efa\u5411\u91cf\u8bb0\u5fc6<\/span>
    \nmemory =<\/span> VectorStoreRetrieverMemory(<\/span>retriever=<\/span>retriever)<\/span><\/p>\n

    # \u4fdd\u5b58\u8bb0\u5fc6（\u81ea\u52a8\u5411\u91cf\u5316\u5b58\u50a8）<\/span>
    \nmemory.<\/span>save_context(<\/span>
    \n {<\/span>"input"<\/span>:<\/span> "\u6211\u662f\u5f20\u4e09，\u4f4f\u5728\u5317\u4eac"<\/span>}<\/span>,<\/span>
    \n {<\/span>"output"<\/span>:<\/span> "\u597d\u7684，\u8bb0\u4f4f\u4e86"<\/span>}<\/span>
    \n)<\/span><\/p>\n

    # \u52a0\u8f7d\u76f8\u5173\u8bb0\u5fc6（\u8bed\u4e49\u68c0\u7d22）<\/span>
    \nvars<\/span> =<\/span> memory.<\/span>load_memory_variables(<\/span>
    \n {<\/span>"input"<\/span>:<\/span> "\u6211\u5728\u54ea\u4e2a\u57ce\u5e02？"<\/span>}<\/span>
    \n)<\/span>
    \n# \u8fd4\u56de：{"history": "\u7528\u6237\u4e4b\u524d\u8bf4\u4f4f\u5728\u5317\u4eac"}<\/span><\/p>\n

    \u6838\u5fc3\u539f\u7406：VectorStoreRetrieverMemory\u5c06\u8bb0\u5fc6\u5b58\u50a8\u5728VectorDB\u4e2d，\u6bcf\u6b21\u8c03\u7528\u65f6\u901a\u8fc7\u8bed\u4e49\u68c0\u7d22\u53ec\u56de\u6700\u76f8\u5173\u7684top-K\u6761\u8bb0\u5fc6\u3002\u8fd9\u79cd\u65b9\u5f0f\u5c06RAG\u7684\u601d\u60f3\u5e94\u7528\u5230\u4e86\u8bb0\u5fc6\u7ba1\u7406\u4e2d\u2014\u2014\u4e0d\u662f\u7b80\u5355\u5730\u628a\u6240\u6709\u5386\u53f2\u585e\u8fdb\u53bb，\u800c\u662f\u6309\u9700\u68c0\u7d22\u6700\u76f8\u5173\u7684\u5185\u5bb9\u3002<\/p>\n

    4.3 LangGraph\u7684\u957f\u671f\u8bb0\u5fc6Store<\/h4>\n

    \u5728LangGraph\u4e2d，\u957f\u671f\u8bb0\u5fc6\u901a\u8fc7Store\u673a\u5236\u5b9e\u73b0：<\/p>\n

    from<\/span> langgraph.<\/span>store.<\/span>memory import<\/span> InMemoryStore<\/p>\n

    # \u521b\u5efa\u957f\u671f\u8bb0\u5fc6\u5b58\u50a8<\/span>
    \nstore =<\/span> InMemoryStore(<\/span>)<\/span><\/p>\n

    # \u6309\u547d\u540d\u7a7a\u95f4\u5b58\u50a8\u8bb0\u5fc6<\/span>
    \nstore.<\/span>put(<\/span>
    \n (<\/span>"user_profile"<\/span>,<\/span> "user_123"<\/span>)<\/span>,<\/span>
    \n {<\/span>"name"<\/span>:<\/span> "\u5f20\u4e09"<\/span>,<\/span> "preferences"<\/span>:<\/span> {<\/span>"theme"<\/span>:<\/span> "dark"<\/span>,<\/span> "language"<\/span>:<\/span> "zh"<\/span>}<\/span>}<\/span>
    \n)<\/span><\/p>\n

    # \u68c0\u7d22\u8bb0\u5fc6<\/span>
    \nmemories =<\/span> store.<\/span>search(<\/span>(<\/span>"user_profile"<\/span>,<\/span> "user_123"<\/span>)<\/span>)<\/span><\/p>\n

    LangGraph\u7684Store\u652f\u6301\u81ea\u5b9a\u4e49\u547d\u540d\u7a7a\u95f4，\u8bb0\u5fc6\u53ef\u4ee5\u5728\u4e0d\u540c\u4f1a\u8bdd\u7ebf\u7a0b\u4e4b\u95f4\u5171\u4eab\u3002\u8fd9\u610f\u5473\u7740：\u7528\u6237\u4eca\u5929\u548cAgent\u804a\u4e86\u504f\u597d\u8bbe\u7f6e，\u660e\u5929\u6253\u5f00\u65b0\u4f1a\u8bdd，Agent\u4f9d\u7136\u80fd\u201c\u8bb0\u4f4f\u201d\u8fd9\u4e9b\u4fe1\u606f\u3002<\/p>\n

    4.4 \u957f\u671f\u8bb0\u5fc6\u7684\u5b58\u50a8\u9009\u578b<\/h4>\n

    \u5728\u5b9e\u9645\u751f\u4ea7\u73af\u5883\u4e2d，\u957f\u671f\u8bb0\u5fc6\u7684\u5b58\u50a8\u6709\u591a\u79cd\u9009\u62e9：<\/p>\n\n\u5b58\u50a8\u65b9\u6848\u9002\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n
    \u5173\u7cfb\u578b\u6570\u636e\u5e93（PostgreSQL）<\/td>\n\u7ed3\u6784\u5316\u7528\u6237\u6863\u6848\u3001\u5386\u53f2\u8ba2\u5355\u7b49<\/td>\n<\/tr>\n
    NoSQL（MongoDB）<\/td>\n\u7075\u6d3b\u7684\u5bf9\u8bdd\u8bb0\u5f55\u3001\u975e\u7ed3\u6784\u5316\u6570\u636e<\/td>\n<\/tr>\n
    \u5411\u91cf\u6570\u636e\u5e93（Chroma\/Pinecone）<\/td>\n\u8bed\u4e49\u68c0\u7d22\u3001\u76f8\u4f3c\u6027\u53ec\u56de<\/td>\n<\/tr>\n
    Redis<\/td>\n\u9ad8\u9891\u8bbf\u95ee\u7684\u77ed\u671f\u7f13\u5b58<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u4e94\u3001\u6df7\u5408\u8bb0\u5fc6\u67b6\u6784：\u77ed\u671f+\u957f\u671f\u534f\u540c\u5de5\u4f5c<\/h3>\n

    \u751f\u4ea7\u7ea7\u7684Agent\u7cfb\u7edf\u901a\u5e38\u9700\u8981\u6df7\u5408\u8bb0\u5fc6\u67b6\u6784\u2014\u2014\u77ed\u671f\u8bb0\u5fc6\u8d1f\u8d23\u4f1a\u8bdd\u5185\u7684\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027，\u957f\u671f\u8bb0\u5fc6\u8d1f\u8d23\u8de8\u4f1a\u8bdd\u7684\u77e5\u8bc6\u79ef\u7d2f\u3002<\/p>\n

    5.1 \u67b6\u6784\u8bbe\u8ba1<\/h4>\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\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510
    \n\u2502 Agent \u5e94\u7528\u5c42 \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\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524
    \n\u2502 \u2502
    \n\u2502 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u2502
    \n\u2502 \u2502 \u77ed\u671f\u8bb0\u5fc6\u5c42 \u2502 \u2502 \u957f\u671f\u8bb0\u5fc6\u5c42 \u2502 \u2502
    \n\u2502 \u2502 \u2502 \u2502 \u2502 \u2502
    \n\u2502 \u2502 BufferWindow \u2502\u25c4\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2502 VectorStore \u2502 \u2502
    \n\u2502 \u2502 Summary \u2502 \u2502 PostgreSQL \u2502 \u2502
    \n\u2502 \u2502 TokenBuffer \u2502 \u2502 Redis \u2502 \u2502
    \n\u2502 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2502
    \n\u2502 \u2502 \u2502 \u2502
    \n\u2502 \u25bc \u25bc \u2502
    \n\u2502 \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\u2510 \u2502
    \n\u2502 \u2502 ChatMessageHistory \u2502 \u2502
    \n\u2502 \u2502 (\u53ef\u63d2\u62d4\u5b58\u50a8\u540e\u7aef：\u5185\u5b58\/Redis\/DB) \u2502 \u2502
    \n\u2502 \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\u2518 \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\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<\/p>\n

    5.2 \u5b9e\u8df5\u793a\u4f8b：\u6df7\u5408\u8bb0\u5fc6\u7684\u7ec4\u88c5<\/h4>\n

    from<\/span> langchain.<\/span>memory import<\/span> (<\/span>
    \n ConversationBufferWindowMemory,<\/span>
    \n VectorStoreRetrieverMemory
    \n)<\/span>
    \nfrom<\/span> langchain.<\/span>vectorstores import<\/span> Chroma
    \nfrom<\/span> langchain.<\/span>embeddings import<\/span> OpenAIEmbeddings<\/p>\n

    class<\/span> HybridMemory<\/span>:<\/span>
    \n """\u6df7\u5408\u8bb0\u5fc6：\u77ed\u671f\u7a97\u53e3\u8bb0\u5fc6 + \u957f\u671f\u5411\u91cf\u68c0\u7d22\u8bb0\u5fc6"""<\/span><\/p>\n

    def<\/span> __init__<\/span>(<\/span>self,<\/span> window_size:<\/span> int<\/span> =<\/span> 10<\/span>,<\/span> top_k:<\/span> int<\/span> =<\/span> 5<\/span>)<\/span>:<\/span>
    \n # \u77ed\u671f\u8bb0\u5fc6：\u53ea\u4fdd\u7559\u6700\u8fd110\u8f6e\u5bf9\u8bdd<\/span>
    \n self.<\/span>short_term =<\/span> ConversationBufferWindowMemory(<\/span>
    \n k=<\/span>window_size,<\/span>
    \n memory_key=<\/span>"recent_history"<\/span>
    \n )<\/span><\/p>\n

    # \u957f\u671f\u8bb0\u5fc6：\u5411\u91cf\u68c0\u7d22<\/span>
    \n vectorstore =<\/span> Chroma(<\/span>
    \n embedding_function=<\/span>OpenAIEmbeddings(<\/span>)<\/span>,<\/span>
    \n collection_name=<\/span>"long_term_memory"<\/span>
    \n )<\/span>
    \n retriever =<\/span> vectorstore.<\/span>as_retriever(<\/span>search_kwargs=<\/span>{<\/span>"k"<\/span>:<\/span> top_k}<\/span>)<\/span>
    \n self.<\/span>long_term =<\/span> VectorStoreRetrieverMemory(<\/span>
    \n retriever=<\/span>retriever,<\/span>
    \n memory_key=<\/span>"long_term_context"<\/span>
    \n )<\/span><\/p>\n

    def<\/span> load_memory_variables<\/span>(<\/span>self,<\/span> inputs:<\/span> dict<\/span>)<\/span> –<\/span>><\/span> dict<\/span>:<\/span>
    \n """\u52a0\u8f7d\u6df7\u5408\u8bb0\u5fc6"""<\/span>
    \n short =<\/span> self.<\/span>short_term.<\/span>load_memory_variables(<\/span>inputs)<\/span>
    \n long<\/span> =<\/span> self.<\/span>long_term.<\/span>load_memory_variables(<\/span>inputs)<\/span>
    \n return<\/span> {<\/span>**<\/span>short,<\/span> **<\/span>long<\/span>}<\/span><\/p>\n

    def<\/span> save_context<\/span>(<\/span>self,<\/span> inputs:<\/span> dict<\/span>,<\/span> outputs:<\/span> dict<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
    \n """\u4fdd\u5b58\u5230\u4e24\u79cd\u8bb0\u5fc6"""<\/span>
    \n self.<\/span>short_term.<\/span>save_context(<\/span>inputs,<\/span> outputs)<\/span>
    \n self.<\/span>long_term.<\/span>save_context(<\/span>inputs,<\/span> outputs)<\/span><\/p>\n

    5.3 LangGraph\u7684Checkpointer：\u72b6\u6001\u6301\u4e45\u5316<\/h4>\n

    \u5728LangGraph\u4e2d，\u77ed\u671f\u8bb0\u5fc6\u901a\u8fc7Checkpointer（\u68c0\u67e5\u70b9\u4fdd\u5b58\u5668） \u5b9e\u73b0\u6301\u4e45\u5316：<\/p>\n

    from<\/span> langgraph.<\/span>checkpoint.<\/span>sqlite import<\/span> SqliteSaver<\/p>\n

    # \u521b\u5efa\u68c0\u67e5\u70b9\u4fdd\u5b58\u5668（\u6301\u4e45\u5316\u5230SQLite）<\/span>
    \ncheckpointer =<\/span> SqliteSaver.<\/span>from_conn_string(<\/span>"checkpoints.db"<\/span>)<\/span><\/p>\n

    # \u7f16\u8bd1\u56fe\u65f6\u4f20\u5165checkpointer<\/span>
    \ngraph =<\/span> builder.<\/span>compile<\/span>(<\/span>checkpointer=<\/span>checkpointer)<\/span><\/p>\n

    # \u6307\u5b9athread_id\u6062\u590d\u4f1a\u8bdd<\/span>
    \nconfig =<\/span> {<\/span>"configurable"<\/span>:<\/span> {<\/span>"thread_id"<\/span>:<\/span> "conversation_123"<\/span>}<\/span>}<\/span>
    \nresult =<\/span> graph.<\/span>invoke(<\/span>inputs,<\/span> config=<\/span>config)<\/span><\/p>\n

    Checkpointer\u7684\u5de5\u4f5c\u539f\u7406\u7c7b\u4f3c\u4e8e\u6e38\u620f\u5b58\u6863：\u6bcf\u5f53\u56fe\u4e2d\u7684\u4e00\u4e2a\u8282\u70b9\u6267\u884c\u5b8c\u6bd5\u540e，LangGraph\u4f1a\u81ea\u52a8\u628a\u5f53\u524d\u7684State（\u5305\u62ec\u6d88\u606f\u5386\u53f2\u3001\u53d8\u91cf\u503c）\u6253\u4e00\u4e2a\u5feb\u7167\u5e76\u5b58\u5165\u6570\u636e\u5e93\u3002\u901a\u8fc7thread_id，\u53ef\u4ee5\u968f\u65f6\u6062\u590d\u5230\u4efb\u610f\u65f6\u95f4\u70b9\u7684\u72b6\u6001\u3002<\/p>\n

    \u516d\u3001LangChain vs LangGraph：\u8bb0\u5fc6\u5b9e\u73b0\u7684\u5dee\u5f02<\/h3>\n

    \u540c\u4e3aLangChain\u751f\u6001，LangChain\u548cLangGraph\u5728\u8bb0\u5fc6\u5b9e\u73b0\u4e0a\u8d70\u51fa\u4e86\u4e0d\u540c\u8def\u5f84：<\/p>\n\n\u7ef4\u5ea6LangChainLangGraph<\/tr>\n\n\n\n\n\n\n
    \u5b9a\u4f4d<\/td>\n\u901a\u7528\u5927\u6a21\u578b\u5e94\u7528\u6846\u67b6<\/td>\n\u9762\u5411Agent\u7684\u4e13\u7528\u6846\u67b6<\/td>\n<\/tr>\n
    \u8bb0\u5fc6\u65b9\u5f0f<\/td>\nMemory\u7ec4\u4ef6（\u5bf9\u8bdd\u5386\u53f2\u7ba1\u7406）<\/td>\nState + Checkpointer（\u72b6\u6001\u56fe\u7ba1\u7406）<\/td>\n<\/tr>\n
    \u77ed\u671f\u8bb0\u5fc6<\/td>\n\u5404\u7c7bBuffer\/Window\/Summary Memory<\/td>\nState\u4e2d\u7684messages\u5b57\u6bb5 + Checkpointer<\/td>\n<\/tr>\n
    \u957f\u671f\u8bb0\u5fc6<\/td>\nVectorStoreRetrieverMemory<\/td>\nStore（\u8de8\u7ebf\u7a0b\u547d\u540d\u7a7a\u95f4\u5b58\u50a8）<\/td>\n<\/tr>\n
    \u72b6\u6001\u6062\u590d<\/td>\n\u9700\u624b\u52a8\u7ba1\u7406<\/td>\n\u901a\u8fc7thread_id\u81ea\u52a8\u6062\u590d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u7b80\u5355\u6765\u8bf4：LangChain\u7684Memory\u662f\u201c\u9644\u52a0\u7684\u201d ，\u4f60\u9700\u8981\u663e\u5f0f\u5730\u5c06Memory\u7ec4\u4ef6\u6302\u8f7d\u5230Chain\u4e0a；\u800cLangGraph\u7684\u8bb0\u5fc6\u662f\u201c\u5929\u7136\u7684\u201d ，StateGraph\u672c\u8eab\u5c31\u6709\u72b6\u6001，Checkpointer\u8ba9\u8fd9\u79cd\u72b6\u6001\u53ef\u4ee5\u968f\u65f6\u4fdd\u5b58\u548c\u6062\u590d\u3002<\/p>\n

    \u4e03\u3001\u603b\u7ed3\u4e0e\u6700\u4f73\u5b9e\u8df5<\/h3>\n

    \u7ecf\u8fc7\u4ee5\u4e0a\u5206\u6790，\u6211\u603b\u7ed3\u4e86\u51e0\u6761\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u843d\u5730\u8bb0\u5fc6\u673a\u5236\u7684\u5b9e\u8df5\u7ecf\u9a8c：<\/p>\n

    7.1 \u9009\u578b\u5efa\u8bae<\/h4>\n\n\u573a\u666f\u63a8\u8350\u65b9\u6848<\/tr>\n\n\n\n\n\n\n
    \u7b80\u5355\u95ee\u7b54\u673a\u5668\u4eba<\/td>\nConversationBufferWindowMemory（k=5~10）<\/td>\n<\/tr>\n
    \u957f\u5bf9\u8bdd\u5ba2\u670d\u7cfb\u7edf<\/td>\nConversationSummaryMemory \u6216 ConversationSummaryBufferMemory<\/td>\n<\/tr>\n
    Token\u654f\u611f\u573a\u666f<\/td>\nConversationTokenBufferMemory<\/td>\n<\/tr>\n
    \u9700\u8981\u8de8\u4f1a\u8bdd\u8bb0\u5fc6<\/td>\nVectorStoreRetrieverMemory + \u5411\u91cf\u6570\u636e\u5e93<\/td>\n<\/tr>\n
    \u590d\u6742Agent\u4efb\u52a1<\/td>\nLangGraph + Checkpointer + Store<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    7.2 \u907f\u5751\u6307\u5357<\/h4>\n
  • \u4e0d\u8981\u628a\u6240\u6709\u5386\u53f2\u90fd\u585e\u8fdb\u53bb：\u5927\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u6709\u9650，\u8d85\u51fa\u9650\u5236\u4f1a\u89e6\u53d1\u622a\u65ad\u6216\u62a5\u9519\u3002<\/li>\n
  • \u77ed\u671f\u8bb0\u5fc6\u548c\u957f\u671f\u8bb0\u5fc6\u8981\u5206\u5de5：\u77ed\u671f\u8bb0\u201c\u521a\u624d\u8bf4\u4e86\u4ec0\u4e48\u201d，\u957f\u671f\u8bb0\u201c\u7528\u6237\u662f\u8c01\u3001\u504f\u597d\u4ec0\u4e48\u201d\u3002<\/li>\n
  • \u8bb0\u5fc6\u4e0eRAG\u8981\u533a\u5206：RAG\u7684\u672c\u8d28\u662f\u6309\u9700\u68c0\u7d22\u5916\u90e8\u9759\u6001\u77e5\u8bc6，\u5929\u7136\u65e0\u72b6\u6001；\u800c\u8bb0\u5fc6\u7cfb\u7edf\u5f3a\u8c03\u8de8\u4f1a\u8bdd\u7684\u72b6\u6001\u79ef\u7d2f\u3002<\/li>\n
  • \u751f\u4ea7\u73af\u5883\u52a1\u5fc5\u6301\u4e45\u5316：\u5f00\u53d1\u65f6\u7528InMemoryChatMessageHistory\u6ca1\u95ee\u9898，\u4e0a\u7ebf\u540e\u4e00\u5b9a\u8981\u6362\u6210Redis\u6216\u6570\u636e\u5e93\u540e\u7aef\u3002<\/li>\n

    7.3 \u6838\u5fc3 Takeaways<\/h4>\n
      \n
    • \u5927\u6a21\u578b\u662f\u65e0\u72b6\u6001\u7684，\u201c\u8bb0\u5fc6\u201d\u672c\u8d28\u662f\u5916\u90e8\u5b58\u50a8+\u52a8\u6001\u62fc\u63a5<\/li>\n
    • LangChain\u7684BaseMemory\u5b9a\u4e49\u4e86\u8bb0\u5fc6\u7684\u8bfb\u5199\u63a5\u53e3，ChatMessageHistory\u5b9a\u4e49\u4e86\u5b58\u50a8\u540e\u7aef<\/li>\n
    • \u77ed\u671f\u8bb0\u5fc6\u6709\u56db\u79cd\u4e3b\u6d41\u5b9e\u73b0：\u5168\u91cf\u3001\u7a97\u53e3\u3001Token\u9650\u5236\u3001\u6458\u8981<\/li>\n
    • \u957f\u671f\u8bb0\u5fc6\u901a\u8fc7\u5411\u91cf\u68c0\u7d22\u6216LangGraph Store\u5b9e\u73b0\u8de8\u4f1a\u8bdd\u77e5\u8bc6\u590d\u7528<\/li>\n
    • \u6df7\u5408\u67b6\u6784\u624d\u662f\u751f\u4ea7\u7ea7Agent\u7684\u6b63\u786e\u6253\u5f00\u65b9\u5f0f<\/li>\n<\/ul>\n

      \u8bb0\u5fc6\u673a\u5236\u662fAI Agent\u4ece\u201c\u73a9\u5177\u201d\u8d70\u5411\u201c\u5de5\u5177\u201d\u7684\u5173\u952e\u4e00\u6b65\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u4f60\u5f7b\u5e95\u641e\u61c2LangChain\u751f\u6001\u4e2d\u7684\u8bb0\u5fc6\u8bbe\u8ba1，\u8ba9\u4f60\u7684Agent\u771f\u6b63\u544a\u522b\u201c\u91d1\u9c7c\u8111\u201d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u524d\u8a00
      \n\u5728\u6784\u5efaAI\u667a\u80fd\u4f53（Agent）\u7684\u8fc7\u7a0b\u4e2d，\u6211\u8e29\u8fc7\u6700\u6df1\u7684\u4e00\u4e2a\u5751\u5c31\u662f\u2014\u2014\u5927\u6a21\u578b\u662f\u4e2a\u201c\u91d1\u9c7c\u8111\u201d \u3002\u65e0\u8bba\u4f60\u4e0a\u4e00\u8f6e\u8ddf\u5b83\u804a\u4e86\u4ec0\u4e48，\u4e0b\u4e00\u8f6e\u5b83\u53ef\u80fd\u5c31\u5fd8\u5f97\u4e00\u5e72\u4e8c\u51c0\u3002
      \n\u8fd9\u4e0d\u662f\u5927\u6a21\u578b\u7684\u201c\u6001\u5ea6\u95ee\u9898\u201d，\u800c\u662f\u5b83\u7684\u5e95\u5c42\u8bbe\u8ba1\u51b3\u5b9a\u7684：\u6240\u6709\u5927\u6a21\u578b\u672c\u8d28\u4e0a\u90fd\u662f\u201c\u65e0\u72b6\u6001\u201d\u7684\u2014\u2014\u5b83\u5bf9\u6bcf\u4e00\u6b21\u8bf7\u6c42\u7684\u5904\u7406\u90fd\u662f\u72ec\u7acb\u7684，\u4e0d\u4f1a\u4e3b\u52a8\u7559\u5b58\u4e0a\u4e00\u8f6e\u5bf9\u8bdd\u7684\u4efb\u4f55\u4fe1\u606f\u3002\u60f3\u8ba9\u5927\u6a21\u578b\u201c\u8bb0\u4f4f\u201d\u4e0a\u4e0b\u6587，\u672c\u8d28\u4e0a\u9700\u8981\u505a\u4e24\u4ef6\u4e8b：\u8bb0<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[997,666,50],"topic":[],"class_list":["post-87792","post","type-post","status-publish","format-standard","hentry","category-server","tag-langchain","tag-microsoft","tag-50"],"yoast_head":"\n\u5927\u6a21\u578b\u201c\u91d1\u9c7c\u8111\u201d\u7ec8\u7ed3\u8005\uff01AI Agent\u77ed\u671f\u8bb0\u5fc6\u4e0e\u957f\u671f\u8bb0\u5fc6\u673a\u5236\u8bbe\u8ba1\u53caLangChain\u72b6\u6001\u7ba1\u7406\u6e90\u7801\u5256\u6790 - 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