| \n # \u5bfc\u5165\u6240\u9700\u7684\u5e93<\/p>\n from langchain import OpenAI<\/p>\n from langchain.chains import ConversationChain<\/p>\n from langchain.chains.conversation.memory import ConversationBufferMemory<\/p>\n # \u521d\u59cb\u5316\u5927\u8bed\u8a00\u6a21\u578b<\/p>\n llm = OpenAI(<\/p>\n temperature=0.5,<\/p>\n model_name=”text-davinci-003″<\/p>\n )<\/p>\n # \u521d\u59cb\u5316\u5bf9\u8bdd\u94fe<\/p>\n conversation = ConversationChain(<\/p>\n llm=llm,<\/p>\n memory=ConversationBufferMemory()<\/p>\n )<\/td>\n<\/tr>\n<\/table>\n \u90a3\u4e48\u6211\u4eec\u8fdb\u884c\u591a\u8f6e\u7684\u5bf9\u8bdd<\/p>\n conversation(“\u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002”)<\/p>\n print(“\u7b2c\u4e00\u6b21\u5bf9\u8bdd\u540e\u7684\u8bb0\u5fc6:”, conversation.memory.buffer)<\/p>\n \u7b2c\u4e00\u6b21\u5bf9\u8bdd\u540e\u7684\u8bb0\u5fc6: Human: \u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002AI:\u00a0 \u54e6\uff0c\u4f60\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u90a3\u592a\u68d2\u4e86\uff01\u6211\u53ef\u4ee5\u5e2e\u4f60\u63a8\u8350\u4e00\u4e9b\u751f\u65e5\u82b1\u675f\uff0c\u4f60\u60f3\u8981\u4ec0\u4e48\u6837\u7684\uff1f\u6211\u77e5\u9053\u6709\u5f88\u591a\u79cd\uff0c\u6bd4\u5982\u73ab\u7470\u3001\u5eb7\u4e43\u99a8\u3001\u90c1\u91d1\u9999\u7b49\u7b49\u3002<\/p>\n conversation(“\u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002”)<\/p>\n print(“\u7b2c\u4e8c\u6b21\u5bf9\u8bdd\u540e\u7684\u8bb0\u5fc6:”, conversation.memory.buffer)<\/p>\n \u7b2c\u4e8c\u6b21\u5bf9\u8bdd\u540e\u7684\u8bb0\u5fc6: Human: \u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002AI:\u00a0 \u54e6\uff0c\u4f60\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u90a3\u592a\u68d2\u4e86\uff01\u6211\u53ef\u4ee5\u5e2e\u4f60\u63a8\u8350\u4e00\u4e9b\u751f\u65e5\u82b1\u675f\uff0c\u4f60\u60f3\u8981\u4ec0\u4e48\u6837\u7684\uff1f\u6211\u77e5\u9053\u6709\u5f88\u591a\u79cd\uff0c\u6bd4\u5982\u73ab\u7470\u3001\u5eb7\u4e43\u99a8\u3001\u90c1\u91d1\u9999\u7b49\u7b49\u3002Human: \u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002AI:\u00a0 \u597d\u7684\uff0c\u90a3\u6211\u53ef\u4ee5\u63a8\u8350\u4e00\u675f\u7c89\u8272\u73ab\u7470\u7684\u751f\u65e5\u82b1\u675f\u7ed9\u4f60\u3002\u4f60\u60f3\u8981\u591a\u5c11\u6735\uff1f\u6211\u53ef\u4ee5\u5e2e\u4f60\u5b9a\u5236\u4e00\u675f\uff0c\u6bd4\u5982\u8bf4\u5341\u6735\u3001\u4e8c\u5341\u6735\u6216\u8005\u66f4\u591a\uff1f<\/p>\n conversation(“\u6211\u53c8\u6765\u4e86\uff0c\u8fd8\u8bb0\u5f97\u6211\u6628\u5929\u4e3a\u4ec0\u4e48\u8981\u6765\u4e70\u82b1\u5417\uff1f”)<\/p>\n print(“\/n\u7b2c\u4e09\u6b21\u5bf9\u8bdd\u540e\u7684\u8bb0\u5fc6:\/n”, conversation.memory.buffer)<\/p>\n Human: \u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002AI:\u00a0 \u54e6\uff0c\u4f60\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u90a3\u592a\u68d2\u4e86\uff01\u6211\u53ef\u4ee5\u5e2e\u4f60\u63a8\u8350\u4e00\u4e9b\u751f\u65e5\u82b1\u675f\uff0c\u4f60\u60f3\u8981\u4ec0\u4e48\u6837\u7684\uff1f\u6211\u77e5\u9053\u6709\u5f88\u591a\u79cd\uff0c\u6bd4\u5982\u73ab\u7470\u3001\u5eb7\u4e43\u99a8\u3001\u90c1\u91d1\u9999\u7b49\u7b49\u3002Human: \u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002AI:\u00a0 \u597d\u7684\uff0c\u90a3\u6211\u53ef\u4ee5\u63a8\u8350\u4e00\u675f\u7c89\u8272\u73ab\u7470\u7684\u751f\u65e5\u82b1\u675f\u7ed9\u4f60\uff0c\u4f60\u60f3\u8981\u591a\u5c11\u6735\uff1fHuman: \u6211\u53c8\u6765\u4e86\uff0c\u8fd8\u8bb0\u5f97\u6211\u6628\u5929\u4e3a\u4ec0\u4e48\u8981\u6765\u4e70\u82b1\u5417\uff1fAI:\u00a0 \u662f\u7684\uff0c\u6211\u8bb0\u5f97\u4f60\u6628\u5929\u6765\u4e70\u82b1\u662f\u56e0\u4e3a\u4f60\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u4f60\u60f3\u8981\u4e70\u4e00\u675f\u7c89\u8272\u73ab\u7470\u7684\u751f\u65e5\u82b1\u675f\u7ed9\u5979\u3002<\/p>\n \u5229\u7528\u76f4\u63a5\u8bfb\u53d6\u4e0a\u4e0b\u6587\u4e2d\u7684\u5bf9\u8bdd\uff0cLLM\u4ece\u800c\u53ef\u4ee5\u5bf9\u5f53\u4e0b\u7684\u63d0\u95ee\u4f5c\u4e3a\u6700\u4f18\u56de\u7b54\uff0c\u4f46\u662f\u6709\u4e00\u4e2a\u95ee\u9898\uff0c\u76f4\u63a5\u5b58\u50a8\u4e0a\u4e0b\u6587\u4fe1\u606f\u56fa\u7136\u597d\uff0c\u4f46\u662f\u54cd\u5e94\u65f6\u95f4\u548c\u5904\u7406\u6210\u672c\u4e5f\u5bf9\u5e94\u7684\u53d8\u9ad8\u4e86\u3002<\/p>\n \u800c\u4e14\u5f88\u591aLLM\u90fd\u5bf9\u8f93\u5165\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u6709\u9650\u5236\u3002<\/p>\n \u90a3\u4e48\u600e\u4e48\u529e\uff0c\u4e3a\u6b64LangChain\u63d0\u4f9b\u4e86\u4e24\u79cd\u7c7b\u578b\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5206\u522b\u662f<\/p>\n ConversationBufferWindowMemory\u548cConversationSummaryMemory.<\/p>\n ConversationBufferWindowMemory\u8d70\u7684\u8def\u7ebf\u662f\u7f13\u51b2\u7a97\u53e3\uff0c\u5373\u53ea\u4fdd\u7559\u6700\u8fd1\u51e0\u8f6e\u7684\u4e92\u52a8\u8bb0\u5f55\uff0c\u4e4b\u524d\u7684\u5c31\u4f1a\u88ab\u629b\u5f03\u3002<\/p>\n from langchain.chains.conversation.memory import ConversationBufferWindowMemory<\/p>\n conversation = ConversationChain(<\/p>\n llm=llm,<\/p>\n memory=ConversationBufferWindowMemory(k=1)<\/p>\n )<\/p>\n \u8fd9\u91cc\u6211\u4eec\u6307\u5b9a\u4e86k=1\uff0ck\u662f\u7a97\u53e3\u503c\uff0c\u610f\u5473\u7740\u53ea\u4fdd\u7559k\u8f6e\u5bf9\u8bdd\u7684\u8bb0\u5fc6<\/p>\n \u8fd9\u53ef\u80fd\u662f\u9762\u5bf9token\u957f\u5ea6\u9650\u5236\u7684\u4e00\u79cd\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n \u9664\u6b64\u5916\u5c31\u662fConversationSummaryMemory<\/p>\n \u8fd9\u662f\u4e00\u79cd\u4ea4\u7ed9Ai\u6a21\u578b\uff0c\u8ba9\u5176\u5bf9\u5bf9\u8bdd\u4e0d\u65ad\u7684\u8fdb\u884c\u603b\u7ed3<\/p>\n \u4ece\u800c\u66f4\u52a0\u9002\u5408\u957f\u5bf9\u8bdd\uff0c\u6bd5\u7adf\u80fd\u628a\u4e4b\u524d\u7684\u6838\u5fc3\u5185\u5bb9\u63d0\u70bc\u51fa\u6765\u3002<\/p>\n from langchain.chains.conversation.memory import ConversationSummaryMemory<\/p>\n summartMemory = ConversationSummaryMemory(llm=llm)<\/p>\n \u8fd9\u91cc\u6211\u4eec\u8fdb\u884c\u4e24\u8f6e\u5bf9\u8bdd<\/p>\n result = conversation(“\u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002”)<\/p>\n print(result)<\/p>\n # \u56de\u54082<\/p>\n result = conversation(“\u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002”)<\/p>\n print(result)<\/p>\n \u5728\u7b2c\u4e8c\u8f6e\u7684result\u4e2d\uff0c\u5f97\u5230\u7684\u7ed3\u679c<\/p>\n {‘input’: ‘\u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002’, ‘history’: “nThe human asked what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good because it will help humans reach their full potential. The human then asked the AI for advice on what type of flower bouquet to get for their sister’s birthday, to which the AI provided a variety of suggestions.”, ‘response’: ‘ \u4e3a\u4e86\u4e3a\u4f60\u7684\u59d0\u59d0\u7684\u751f\u65e5\u51c6\u5907\u4e00\u675f\u82b1\uff0c\u6211\u5efa\u8bae\u4f60\u642d\u914d\u7c89\u8272\u73ab\u7470\u548c\u767d\u8272\u5eb7\u4e43\u99a8\u3002\u4f60\u53ef\u4ee5\u5728\u73ab\u7470\u82b1\u675f\u4e2d\u6dfb\u52a0\u4e00\u4e9b\u7d2b\u8272\u7684\u6ee1\u5929\u661f\uff0c\u6216\u8005\u6dfb\u52a0\u4e00\u4e9b\u7eff\u53f6\u4ee5\u589e\u52a0\u989c\u8272\u5bf9\u6bd4\u3002\u8fd9\u5c06\u662f\u4e00\u675f\u53ef\u7231\u7684\u82b1\u675f\uff0c\u8ba9\u4f60\u59d0\u59d0\u7684\u751f\u65e5\u66f4\u52a0\u7279\u522b\u3002’}<\/p>\n \u8fd9\u91cc\u7684history\u5e76\u4e0d\u662f\u539f\u672c\u7684\u7528\u6237\u548cLLM\u7684\u5bf9\u8bdd\uff0c\u800c\u662f\u4e00\u4e2a\u63d0\u70bc\u7684\u7ed3\u679c\u3002<\/p>\n \u5728\u8fd9\u91cc\u7528\u6765\u603b\u7ed3\u7684LLM\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u662f\u540c\u4e00\u4e2a\u5927\u6a21\u578b\uff0c\u4e5f\u53ef\u4ee5\u662f\u4e0d\u540c\u7684\u5927\u6a21\u578b\u3002<\/p>\n \u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u56e0\u4e3a\u9700\u8981\u8c03\u7528LLM\uff0c\u6240\u4ee5\u53ef\u80fd\u4f1a\u591a\u4e00\u8f6e\u7684\u8c03\u7528\u3002<\/p>\n \u4f46\u4e0a\u9762\u7684SummaryMemory\u4ecd\u7136\u5b58\u5728\u4e00\u4e2a\u591a\u8f6e\u4f7f\u7528\u540eToken\u8fc7\u5927\u7684\u95ee\u9898\u3002<\/p>\n \u90a3\u4e48LangChain\u8fd8\u5b58\u5728\u4e00\u4e2aMemory\uff0c\u53ef\u4ee5\u8fdb\u884c\u591a\u603b\u7ed3<\/p>\n \u5c31\u662fConversationSummaryBufferMemory\uff0c\u5bf9\u8bdd\u603b\u7f13\u51b2\u8bb0\u5fc6\uff0c\u662f\u4e00\u79cd\u6df7\u5408\u8bb0\u5fc6<\/p>\n \u53ef\u4ee5\u603b\u7ed3\u7684\u540c\u65f6\u53ea\u4fdd\u7559\u6700\u8fd1\u4e92\u52a8\u7684\u5185\u5bb9\u3002<\/p>\n \u8fd9\u662f\u5229\u7528\u4e86max_token_limit\u8fd9\u4e2a\u53c2\u6570\u505a\u5230\u7684<\/p>\n \u6bd4\u5982\u6211\u8bbe\u7f6e\u4e3a300\u7684\u65f6\u5019\uff0c\u8d85\u8fc7300\u7684\u5185\u5bb9\u5c31\u4f1a\u5bfc\u81f4\u5176\u8fdb\u884c\u603b\u7ed3\uff0c\u6765\u8282\u7701Token\u957f\u5ea6<\/p>\n \u8fd9\u91cc\u6211\u4eec\u4f9d\u65e7\u8fdb\u884c\u4e00\u6b21\u591a\u8f6e\u5bf9\u8bdd\uff0c\u5e76\u67e5\u770b\u5176history<\/p>\n \n\n| \n # \u5bfc\u5165\u6240\u9700\u7684\u5e93<\/p>\n from langchain import OpenAI<\/p>\n from langchain.chains import ConversationChain<\/p>\n from langchain.chains.conversation.memory import ConversationSummaryBufferMemory<\/p>\n # \u521d\u59cb\u5316\u5927\u8bed\u8a00\u6a21\u578b<\/p>\n llm = OpenAI(<\/p>\n temperature=0.5,<\/p>\n model_name=”text-davinci-003″<\/p>\n )<\/p>\n # \u521d\u59cb\u5316\u5bf9\u8bdd\u94fe<\/p>\n conversation = ConversationChain(<\/p>\n llm=llm,<\/p>\n memory=ConversationSummaryBufferMemory(<\/p>\n llm=llm,<\/p>\n max_token_limit=300<\/p>\n )<\/p>\n )<\/p>\n # \u7b2c\u4e00\u5929\u7684\u5bf9\u8bdd<\/p>\n # \u56de\u54081<\/p>\n result = conversation(“\u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002”)<\/p>\n print(result)<\/p>\n # \u56de\u54082<\/p>\n result = conversation(“\u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002”)<\/p>\n print(result)<\/p>\n # \u7b2c\u4e8c\u5929\u7684\u5bf9\u8bdd<\/p>\n # \u56de\u54083<\/p>\n result = conversation(“\u6211\u53c8\u6765\u4e86\uff0c\u8fd8\u8bb0\u5f97\u6211\u6628\u5929\u4e3a\u4ec0\u4e48\u8981\u6765\u4e70\u82b1\u5417\uff1f”)<\/p>\n print(result)<\/td>\n<\/tr>\n<\/table>\n \u5bf9\u5e94\u7684\u8f93\u51fa\u5206\u522b\u4e3a<\/p>\n \n\n| \n {‘input’: ‘\u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002’, ‘history’: ”, ‘response’: ‘ \u54c7\uff0c\u4f60\u59d0\u59d0\u8981\u8fc7\u751f\u65e5\u554a\uff01\u90a3\u592a\u68d2\u4e86\uff01\u6211\u5efa\u8bae\u4f60\u53bb\u4e70\u4e00\u675f\u8272\u5f69\u9c9c\u8273\u7684\u82b1\u675f\uff0c\u56e0\u4e3a\u8fd9\u6837\u53ef\u4ee5\u4ee3\u8868\u4f60\u7ed9\u5979\u7684\u795d\u798f\u548c\u795d\u613f\u3002\u4f60\u53ef\u4ee5\u53bb\u4f60\u5bb6\u9644\u8fd1\u7684\u82b1\u5e97\uff0c\u6216\u8005\u4e5f\u53ef\u4ee5\u4ece\u7f51\u4e0a\u8ba2\u8d2d\uff0c\u4f60\u53ef\u4ee5\u770b\u770b\u6709\u6ca1\u6709\u7279\u522b\u7684\u82b1\u675f\uff0c\u6bd4\u5982\u5f69\u8272\u73ab\u7470\u6216\u8005\u767e\u5408\u82b1\uff0c\u5b83\u4eec\u4f1a\u66f4\u6709\u7279\u8272\u3002’}<\/td>\n<\/tr>\n | \n| \n {‘input’: ‘\u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002’, ‘history’: ‘Human: \u6211\u59d0\u59d0\u660e\u5929\u8981\u8fc7\u751f\u65e5\uff0c\u6211\u9700\u8981\u4e00\u675f\u751f\u65e5\u82b1\u675f\u3002nAI:\u00a0 \u54c7\uff0c\u4f60\u59d0\u59d0\u8981\u8fc7\u751f\u65e5\u554a\uff01\u90a3\u592a\u68d2\u4e86\uff01\u6211\u5efa\u8bae\u4f60\u53bb\u4e70\u4e00\u675f\u8272\u5f69\u9c9c\u8273\u7684\u82b1\u675f\uff0c\u56e0\u4e3a\u8fd9\u6837\u53ef\u4ee5\u4ee3\u8868\u4f60\u7ed9\u5979\u7684\u795d\u798f\u548c\u795d\u613f\u3002\u4f60\u53ef\u4ee5\u53bb\u4f60\u5bb6\u9644\u8fd1\u7684\u82b1\u5e97\uff0c\u6216\u8005\u4e5f\u53ef\u4ee5\u4ece\u7f51\u4e0a\u8ba2\u8d2d\uff0c\u4f60\u53ef\u4ee5\u770b\u770b\u6709\u6ca1\u6709\u7279\u522b\u7684\u82b1\u675f\uff0c\u6bd4\u5982\u5f69\u8272\u73ab\u7470\u6216\u8005\u767e\u5408\u82b1\uff0c\u5b83\u4eec\u4f1a\u66f4\u6709\u7279\u8272\u3002’, ‘response’: ‘ \u597d\u7684\uff0c\u90a3\u7c89\u8272\u73ab\u7470\u5c31\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\uff01\u4f60\u53ef\u4ee5\u4e70\u4e00\u675f\u7c89\u8272\u73ab\u7470\u82b1\u675f\uff0c\u8fd9\u6837\u4f60\u59d0\u59d0\u4f1a\u5f88\u5f00\u5fc3\u7684\uff01\u4f60\u53ef\u4ee5\u5728\u82b1\u5e97\u91cc\u627e\u5230\u7c89\u8272\u73ab\u7470\uff0c\u4e5f\u53ef\u4ee5\u4ece\u7f51\u4e0a\u8ba2\u8d2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u4f60\u7684\u9884\u7b97\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u91cf\u3002\u53e6\u5916\uff0c\u4f60\u53ef\u4ee5\u8003\u8651\u6dfb\u52a0\u4e00\u4e9b\u88c5\u9970\uff0c\u6bd4\u5982\u7ec6\u7ef3\u3001\u5f69\u5e26\u6216\u8005\u5c0f\u793c\u54c1’}<\/td>\n<\/tr>\n | \n| \n {‘input’: ‘\u6211\u53c8\u6765\u4e86\uff0c\u8fd8\u8bb0\u5f97\u6211\u6628\u5929\u4e3a\u4ec0\u4e48\u8981\u6765\u4e70\u82b1\u5417\uff1f’, ‘history’: “System: nThe human asked the AI for advice on buying a bouquet for their sister’s birthday. The AI suggested buying a vibrant bouquet as a representation of their wishes and blessings, and recommended looking for special bouquets like colorful roses or lilies for something more unique.nHuman: \u5979\u559c\u6b22\u7c89\u8272\u73ab\u7470\uff0c\u989c\u8272\u662f\u7c89\u8272\u7684\u3002nAI:\u00a0 \u597d\u7684\uff0c\u90a3\u7c89\u8272\u73ab\u7470\u5c31\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\uff01\u4f60\u53ef\u4ee5\u4e70\u4e00\u675f\u7c89\u8272\u73ab\u7470\u82b1\u675f\uff0c\u8fd9\u6837\u4f60\u59d0\u59d0\u4f1a\u5f88\u5f00\u5fc3\u7684\uff01\u4f60\u53ef\u4ee5\u5728\u82b1\u5e97\u91cc\u627e\u5230\u7c89\u8272\u73ab\u7470\uff0c\u4e5f\u53ef\u4ee5\u4ece\u7f51\u4e0a\u8ba2\u8d2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u4f60\u7684\u9884\u7b97\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u91cf\u3002\u53e6\u5916\uff0c\u4f60\u53ef\u4ee5\u8003\u8651\u6dfb\u52a0\u4e00\u4e9b\u88c5\u9970\uff0c\u6bd4\u5982\u7ec6\u7ef3\u3001\u5f69\u5e26\u6216\u8005\u5c0f\u793c\u54c1”, ‘response’: ‘ \u662f\u7684\uff0c\u6211\u8bb0\u5f97\u4f60\u6628\u5929\u6765\u4e70\u82b1\u662f\u4e3a\u4e86\u7ed9\u4f60\u59d0\u59d0\u7684\u751f\u65e5\u3002\u4f60\u60f3\u4e70\u4e00\u675f\u7c89\u8272\u73ab\u7470\u82b1\u675f\u6765\u8868\u8fbe\u4f60\u7684\u795d\u798f\u548c\u795d\u613f\uff0c\u4f60\u53ef\u4ee5\u5728\u82b1\u5e97\u91cc\u627e\u5230\u7c89\u8272\u73ab\u7470\uff0c\u4e5f\u53ef\u4ee5\u4ece\u7f51\u4e0a\u8ba2\u8d2d\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u4f60\u7684\u9884\u7b97\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u91cf\u3002\u53e6\u5916\uff0c\u4f60\u53ef\u4ee5\u8003\u8651\u6dfb\u52a0\u4e00\u4e9b\u88c5\u9970\uff0c\u6bd4\u5982\u7ec6\u7ef3\u3001\u5f69\u5e26\u6216\u8005\u5c0f\u793c\u54c1}<\/td>\n<\/tr>\n<\/table>\n \u5176\u5185\u90e8\u673a\u5236\u53ef\u4ee5\u67e5\u770b\uff0c\u4e0d\u8fc7\u53ef\u4ee5\u770b\u51fa\uff0c\u5176\u672c\u8eab\u662f\u5bf9\u65e9\u671f\u7684\u5bf9\u8bdd\u8fdb\u884c\u4e86\u603b\u7ed3\uff0c\u4ece\u800c\u907f\u514d\u4e86Token\u8fc7\u957f\u7684\u95ee\u9898\u3002<\/p>\n \u4f46\u662f\u5176\u89e6\u53d1\u548c\u6574\u4f53\u7684\u8fc7\u7a0b\uff0c\u8fd8\u53ef\u4ee5\u540e\u7eed\u8c03\u7814\u67e5\u770b\u3002<\/p>\n \u90a3\u4e48\u603b\u7ed3\u4e00\u4e0b\uff0c\u6211\u4eec\u4eca\u5929\u4ecb\u7ecd\u4e86\u56db\u79cd\u8bb0\u5fc6\u673a\u5236\uff0c\u5206\u522b\u5982\u4e0b<\/p>\n ![\"\u56fe\u7247\"](\"http:\/\/xinblog.ltd\/wp-content\/uploads\/2024\/04\/unnamed-file-12.png\") <\/p>\n","protected":false},"excerpt":{"rendered":"
\u4e4b\u524d\u6211\u4eec\u8bb2\u89e3\u4e86LangChai […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43],"tags":[],"_links":{"self":[{"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/posts\/5073"}],"collection":[{"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5073"}],"version-history":[{"count":1,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/posts\/5073\/revisions"}],"predecessor-version":[{"id":5076,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=\/wp\/v2\/posts\/5073\/revisions\/5076"}],"wp:attachment":[{"href":"http:\/\/xinblog.ltd\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5073"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5073"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/xinblog.ltd\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} | | | ![\"\u56fe\u7247\"](\"http:\/\/xinblog.ltd\/wp-content\/uploads\/2024\/04\/unnamed-file-11.png\")
<\/p>\n