{"id":1317,"date":"2024-05-03T11:32:52","date_gmt":"2024-05-03T11:32:52","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1317"},"modified":"2024-05-03T11:32:52","modified_gmt":"2024-05-03T11:32:52","slug":"langchainzhongdellmmoxingshiyongjieshao","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/langchainzhongdellmmoxingshiyongjieshao.html","title":{"rendered":"langchain\u4e2d\u7684LLM\u6a21\u578b\u4f7f\u7528\u4ecb\u7ecd"},"content":{"rendered":"

\u7b80\u4ecb<\/h1>\n

\u6784\u5efa\u5728\u5927\u8bed\u8a00\u6a21\u578b\u57fa\u7840\u4e0a\u7684\u5e94\u7528\u901a\u5e38\u6709\u4e24\u79cd\uff0c\u7b2c\u4e00\u79cd\u53eb\u505atext completion,\u4e5f\u5c31\u662f\u4e00\u95ee\u4e00\u7b54\u7684\u6a21\u5f0f\uff0c\u8f93\u5165\u662ftext\uff0c\u8f93\u51fa\u4e5f\u662ftext\u3002\u8fd9\u79cd\u6a21\u578b\u4e0b\u5e94\u7528\u5e76\u4e0d\u4f1a\u8bb0\u5fc6\u4e4b\u524d\u7684\u95ee\u9898\u5185\u5bb9\uff0c\u6bcf\u4e00\u4e2a\u95ee\u9898\u90fd\u662f\u6700\u65b0\u7684\u3002\u901a\u5e38\u7528\u6765\u505a\u77e5\u8bc6\u5e93\u3002<\/p>\n

\u8fd8\u6709\u4e00\u79cd\u662f\u7c7b\u4f3c\u804a\u5929\u673a\u5668\u4eba\u8fd9\u79cd\u4f1a\u8bdd\u6a21\u5f0f\uff0c\u4e5f\u53ebChat models\u3002\u8fd9\u79cd\u6a21\u5f0f\u4e0b\u8f93\u5165\u662f\u4e00\u4e2aChat Messages\u7684\u5217\u8868\u3002\u4ece\u800c\u53ef\u4ee5\u4fdd\u5b58\u4e0a\u4e0b\u6587\u4fe1\u606f\uff0c\u8ba9\u6a21\u578b\u7684\u56de\u590d\u66f4\u52a0\u771f\u5b9e\u3002<\/p>\n

\u5b9e\u9645\u4e0aChat models\u7684\u5e95\u5c42\u8fd8\u662fLLMs,\u53ea\u4e0d\u8fc7\u5728\u8c03\u7528\u65b9\u5f0f\u4e0a\u6709\u4e9b\u53d8\u5316\u3002<\/p>\n

\u7b80\u5355\u4f7f\u7528LLMs<\/h1>\n

\u4ec0\u4e48\u662fLLMs\u5462\uff1fLLMs\u662fLarge Language Models\u7684\u7b80\u79f0\uff0c\u4e5f\u5c31\u662f\u6211\u4eec\u5e38\u8bf4\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

\u5bf9\u4e8elangchain\u6765\u8bf4\uff0c\u5b83\u672c\u8eab\u5e76\u4e0d\u63d0\u4f9b\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5b83\u53ea\u662f\u4e00\u4e2a\u4e2d\u95f4\u7684\u7c98\u5408\u5c42\uff0c\u63d0\u4f9b\u4e86\u7edf\u4e00\u7684\u63a5\u53e3\uff0c\u65b9\u4fbf\u6211\u4eec\u5bf9\u63a5\u5e95\u5c42\u7684\u5404\u79cdLLMs\u6a21\u578b\u3002<\/p>\n

langchain\u9664\u4e86\u53ef\u4ee5\u5bf9\u63a5OpenAI\u4e4b\u5916\uff0c\u8fd8\u53ef\u4ee5\u5bf9\u63a5Cohere, Hugging Face\u7b49\u5176\u4ed6\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n

\u6bd4\u5982\u4e0b\u9762\u662fopenAI\u7684\u4f7f\u7528\uff1a<\/p>\n

<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.llms import OpenAI<\/span>\n<\/span>\nllm<\/span> = OpenAI(openai_api_key=\"...\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u63a5\u4e0b\u6765\u5c31\u53ef\u4ee5\u8c03\u7528llm\u7684\u65b9\u6cd5\u6765\u8fdb\u884ctext completion\u4e86\u3002<\/p>\n
\u4e00\u822c\u6765\u8bf4\u6709\u4e24\u79cd\u65b9\u5f0f\u3002\u7b2c\u4e00\u79cd\u65b9\u5f0f\u5c31\u662f\u76f4\u63a5\u8f93\u51fa\uff1a<\/p>\n
<\/div>
scss<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>llm<\/span>(\"\u7ed9\u6211\u5199\u9996\u8bd7\")<\/span>\n<\/code><\/pre>\n
\u8fd8\u6709\u4e00\u79cd\u65b9\u5f0f\u8c03\u7528\u4ed6\u7684generate\u65b9\u6cd5\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>llm_result<\/span> = llm.generate([\"\u7ed9\u6211\u5531\u9996\u6b4c\"<\/span>, \"\u7ed9\u6211\u5199\u9996\u8bd7\"<\/span>])<\/span>\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u4f20\u5165\u4e00\u4e2a\u6570\u7ec4\uff0c\u7528\u6765\u751f\u6210\u6bd4\u8f83\u590d\u6742\u7684\u7ed3\u679c\u3002<\/p>\n
langchain\u652f\u6301\u7684LLM<\/h1>\n
\u73b0\u5728\u5927\u8bed\u8a00\u6a21\u578b\u53ef\u8c13\u662f\u84ec\u52c3\u53d1\u5c55\uff0c\u4e00\u4e0d\u7559\u795e\u5c31\u53ef\u80fd\u51fa\u4e00\u4e2a\u65b0\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n
\u5c31\u76ee\u524d\u800c\u8a00\uff0c\u57fa\u672c\u7684\u56fd\u5916\u4e3b\u6d41\u6a21\u578blangchain\u90fd\u662f\u652f\u6301\u7684\u3002<\/p>\n
\u6bd4\u5982\uff1aopenai,azure openai,AmazonAPI,Hugging Face Hub\u7b49\u7b49\u3002\u6570\u76ee\u7e41\u591a\uff0c\u529f\u80fd\u9f50\u5168,\u4f60\u60f3\u8981\u7684\u4ed6\u5168\u90fd\u6709\uff0c\u4f60\u6ca1\u60f3\u5230\u7684\u4ed6\u4e5f\u6709\u3002<\/p>\n
\u90a3\u4e48\u6709\u5c0f\u4f19\u4f34\u53ef\u80fd\u8981\u95ee\u9898\u4e86\uff0clangchain\u652f\u4e0d\u652f\u6301\u56fd\u4ea7\u7684\u5927\u8bed\u8a00\u6a21\u578b\u5462\uff1f<\/p>\n
\u7b54\u6848\u662f\u80af\u5b9a\u7684\uff0c\u4f46\u5e76\u4e0d\u662f\u76f4\u63a5\u7684\u3002<\/p>\n
\u5982\u679c\u4f60\u53d1\u73b0langchain\u5e76\u6ca1\u6709\u4f60\u60f3\u8981\u7684llm\uff0c\u90a3\u4e48\u4f60\u53ef\u4ee5\u5c1d\u8bd5\u8fdb\u884c\u81ea\u5b9a\u4e49\u3002<\/p>\n
langchain\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7c7b\u53eb\u505aLLM\uff0c\u6211\u4eec\u53ea\u9700\u8981\u7ee7\u627f\u8fd9\u4e2aLLM\u5373\u53ef\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>class<\/span> LLM<\/span>(BaseLLM<\/span>):<\/span>\n<\/span>\n    @abstractmethod<\/span><\/span>\n    def<\/span> _call<\/span>(<\/span><\/span>\n        self,<\/span>\n        prompt: str<\/span>,<\/span>\n        stop: Optional<\/span>[List<\/span>[str<\/span>]] = None<\/span>,<\/span>\n        run_manager: Optional<\/span>[CallbackManagerForLLMRun] = None<\/span>,<\/span>\n    ) -> str<\/span>:<\/span>\n        \"\"\"Run the LLM on the given prompt and input.\"\"\"<\/span><\/span>\n<\/code><\/pre>\n
\u5176\u4e2d\uff0c\u552f\u4e00\u4e00\u4e2a\u5fc5\u987b\u8981\u5b9e\u73b0\u7684\u65b9\u6cd5\u5c31\u662f_call,\u8fd9\u4e2a\u65b9\u6cd5\u4f20\u5165\u4e00\u4e2a\u5b57\u7b26\u4e32\u548c\u4e00\u4e9b\u53ef\u9009\u7684stop word\uff0c\u7136\u540e\u8fd4\u56deLLM\u7684\u8f93\u51fa\u5373\u53ef\u3002<\/p>\n
\u53e6\u5916\u8fd8\u53ef\u4ee5\u5b9e\u73b0\u4e00\u4e2a_identifying_params\u65b9\u6cd5\uff0c\u7528\u6765\u8f93\u51fa\u81ea\u5b9a\u4e49LLM\u7684\u4e00\u4e9b\u53c2\u6570\u4fe1\u606f\u3002<\/p>\n
\u5927\u5bb6\u53ef\u4ee5\u81ea\u884c\u5c1d\u8bd5\u548c\u63a5\u5165\u4e0d\u540c\u7684LLM\u6a21\u578b\u3002<\/p>\n
\u4e00\u4e9b\u7279\u6b8a\u7684LLM<\/h1>\n
\u5f88\u591a\u65f6\u5019\u8c03\u7528LLM\u662f\u9700\u8981\u6536\u8d39\u7684\uff0c\u5982\u679c\u6211\u4eec\u5728\u5f00\u53d1\u7684\u8fc7\u7a0b\u4e2d\u4e5f\u8981\u4e0d\u65ad\u7684\u6d88\u8017token\u80af\u5b9a\u662f\u5f97\u4e0d\u507f\u5931\u3002<\/p>\n
\u6240\u4ee5langchain\u4e3a\u4e86\u7ed9\u6211\u4eec\u7701\u94b1\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2aFakeLLM\u6765\u4f7f\u7528\u3002<\/p>\n
\u987e\u540d\u601d\u4e49\uff0cFakeLLM\u5c31\u662f\u53ef\u4ee5\u624b\u52a8\u6765mock\u4e00\u4e9bLLM\u7684\u56de\u7b54\uff0c\u65b9\u4fbf\u6d4b\u8bd5\u3002<\/p>\n
<\/div>
scss<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.llms<\/span>.fake<\/span> import FakeListLLM<\/span>\n<\/span>\nresponses = [\"\u7a97\u524d\u660e\u6708\u5149\\n\u4f4e\u5934\u978b\u4e24\u53cc\"<\/span>]<\/span><\/span>\nllm = FakeListLLM<\/span>(responses=responses)<\/span>\n<\/span>\nprint<\/span>(llm(\"\u7ed9\u6211\u5199\u9996\u8bd7\"))<\/span>\n<\/code><\/pre>\n
\u4e0a\u9762\u7684\u8f93\u51fa\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n
<\/div>
<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>\u7a97\u524d\u660e\u6708\u5149<\/span>\n\u4f4e\u5934\u978b\u4e24\u53cc<\/span>\n<\/code><\/pre>\n
langchain\u4e2d\u8fd8\u6709\u4e00\u4e2a\u548cFakeLLM\u7c7b\u4f3c\u7684\u53eb\u505aHumanInputLLM\u3002<\/p>\n
\u8fd9\u4e2aLLM\u53ef\u4ee5\u6253\u5370\u51fa\u7ed9\u7528\u6237\u7684prompt\uff0c\u5e76\u4e14\u5c06\u7528\u6237\u7684\u8f93\u5165\u4f5c\u4e3a\u8f93\u51fa\u8fd4\u56de\u7ed9\u7528\u6237\uff0c\u5927\u5bb6\u53ef\u4ee5\u81ea\u884c\u4f53\u9a8c\u3002<\/p>\n
LLM\u7684\u9ad8\u7ea7\u7528\u6cd5<\/h1>\n
\u9664\u4e86\u6b63\u5e38\u7684LLM\u8c03\u7528\u4e4b\u5916\uff0clangchain\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9bLLM\u7684\u9ad8\u7ea7\u7528\u6cd5\u3002<\/p>\n
\u5f02\u6b65\u8c03\u7528<\/h2>\n
\u6bd4\u5982\u5f02\u6b65\u8c03\u7528LLM\u3002\u5f53\u7136\u76ee\u524d\u53ea\u652f\u6301OpenAI, PromptLayerOpenAI, ChatOpenAI \u548c Anthropic\u8fd9\u51e0\u4e2aLLM\u3002\u5176\u4ed6\u7684\u5bf9LLM\u7684\u652f\u6301\u8c8c\u4f3c\u6b63\u5728\u5f00\u53d1\u4e2d\u3002<\/p>\n
\u5f02\u6b65\u65b9\u6cd5\u4e5f\u5f88\u7b80\u5355\uff0c\u4e3b\u8981\u662f\u8c03\u7528llm\u7684agenerate\u65b9\u6cd5,\u6bd4\u5982\u4e0b\u9762\u8fd9\u6837\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>async<\/span> def<\/span> async_generate<\/span>(llm<\/span>):<\/span>\n    resp = await<\/span> llm.agenerate([\"Hello, how are you?\"<\/span>])<\/span>\n    print<\/span>(resp.generations[0<\/span>][0<\/span>].text)<\/span>\n<\/span>\n<\/code><\/pre>\n
\u7f13\u5b58\u529f\u80fd<\/h2>\n
\u53e6\u5916\uff0c\u5bf9\u4e8e\u4e00\u4e9b\u91cd\u590d\u7684\u8bf7\u6c42\u6765\u8bf4\uff0clangchain\u8fd8\u63d0\u4f9b\u4e86\u7f13\u5b58\u529f\u80fd\uff0c\u8fd9\u6837\u53ef\u4ee5\u91cd\u590d\u7684\u8bf7\u6c42\u5c31\u4e0d\u9700\u8981\u518d\u53d1\u9001\u5230LLM\u53bb\u4e86\uff0c\u7ed9\u6211\u4eec\u8282\u7ea6\u4e86\u65f6\u95f4\u548c\u91d1\u94b1\uff0c\u975e\u5e38\u597d\u7528\u3002<\/p>\n
langchain\u63d0\u4f9b\u7684cache\u4e5f\u6709\u5f88\u591a\u79cd\uff0c\u6bd4\u5982InMemoryCache,FullLLMCache,SQLAlchemyCache,SQLiteCache\u548cRedisCache\u7b49\u7b49\u3002<\/p>\n
\u6211\u4eec\u4ee5InMemoryCache\u4e3a\u4f8b\uff0c\u770b\u770b\u662f\u600e\u4e48\u4f7f\u7528\u7684\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.cache import<\/span> InMemoryCache<\/span>\nlangchain.llm_cache = InMemoryCache()<\/span>\n<\/span>\n# \u7b2c\u4e00\u6b21\u6ca1\u6709\u4f7f\u7528\u7f13\u5b58<\/span><\/span>\nllm.predict(\"Tell me a joke\"<\/span>)<\/span>\n# \u7b2c\u4e8c\u6b21\u4f7f\u7528\u4e86\u7f13\u5b58<\/span><\/span>\nllm.predict(\"Tell me a joke\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u4f7f\u7528\u8d77\u6765\u5f88\u7b80\u5355\uff0c\u53ea\u9700\u8981\u6dfb\u52a0\u4e00\u884cllm_cache\u5373\u53ef\u3002<\/p>\n
\u5982\u679c\u4f60\u4f7f\u7528\u5176\u4ed6\u7684cache\uff0c\u9664\u4e86\u6784\u9020\u51fd\u6570\u4e0d\u540c\u4e4b\u5916\uff0c\u5176\u4ed6\u7684\u90fd\u662f\u7c7b\u4f3c\u7684\u3002<\/p>\n
\u4fdd\u5b58LLM\u914d\u7f6e<\/h2>\n
\u6709\u65f6\u5019\u6211\u4eec\u914d\u7f6e\u597d\u4e86LLM\u4e4b\u5916\uff0c\u8fd8\u53ef\u4ee5\u628aLLM\u76f8\u5173\u7684\u53c2\u6570\u4ee5\u6587\u672c\u7684\u5f62\u5f0f\u5b58\u50a8\u8d77\u6765\u3002<\/p>\n
\u4fdd\u5b58llm\u5230\u6587\u4ef6\uff1a<\/p>\n
<\/div>
arduino<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>llm.save<\/span>(\"llm.json\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u52a0\u8f7dllm\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>llm<\/span> = load_llm(\"llm.json\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u6d41\u5f0f\u5904\u7406<\/h2>\n
LLM\u7684\u901f\u5ea6\u662f\u4e00\u4e2a\u786c\u4f24\uff0c\u7531\u4e8e\u8fd4\u56de\u6574\u4e2a\u54cd\u5e94\u7684\u901f\u5ea6\u592a\u6162\u4e86\uff0c\u6240\u4ee5\u63a8\u51fa\u4e86\u6d41\u5f0f\u54cd\u5e94\u3002\u53ea\u8981\u6709response\u8fd4\u56de\uff0c\u5c31\u4f20\u8f93\u7ed9\u7528\u6237\u3002\u5e76\u4e0d\u9700\u8981\u7b49\u5f85\u6240\u6709\u5185\u5bb9\u90fd\u83b7\u5f97\u4e4b\u540e\u518d\u5904\u7406\u3002\u8fd9\u6837\u5bf9\u7528\u6237\u7684\u4f53\u9a8c\u662f\u6700\u597d\u7684\u3002<\/p>\n
\u76ee\u524dlangchain\u53ea\u652f\u6301OpenAI,ChatOpenAI\u548cChatAnthropic\u3002<\/p>\n
\u8981\u5b9e\u73b0\u8fd9\u4e2a\u6d41\u5f0f\u5904\u7406\uff0c langchain\u63d0\u4f9b\u4e86BaseCallbackHandler\uff0c\u6211\u4eec\u53ea\u9700\u8981\u7ee7\u627f\u8fd9\u4e2a\u7c7b\uff0c\u5b9e\u73b0on_llm_new_token\u8fd9\u4e2a\u65b9\u6cd5\u5373\u53ef\u3002<\/p>\n
\u5f53\u7136langchain\u5df2\u7ecf\u7ed9\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b9e\u73b0\u597d\u7684\u7c7b\u53eb\u505a\uff1aStreamingStdOutCallbackHandler\u3002\u4e0b\u9762\u662f\u4ed6\u7684\u5b9e\u73b0\uff1a<\/p>\n
<\/div>
lua<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>    def on_llm_new_token(self<\/span>, token: str, **kwargs: Any) -> None:<\/span>\n        sys.stdout<\/span>.write<\/span>(token)<\/span>\n        sys.stdout<\/span>.flush<\/span>()<\/span>\n<\/code><\/pre>\n
\u4f7f\u7528\u7684\u65f6\u5019\uff0c\u53ea\u9700\u8981\u5728\u6784\u5efallm\u7684\u662f\u4f20\u5165\u5bf9\u5e94\u7684callback\u5373\u53ef\uff1a<\/p>\n
<\/div>
ini<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from langchain.llms import OpenAI<\/span>\nfrom langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler<\/span>\n<\/span>\n<\/span>\nllm<\/span> = OpenAI(streaming=True<\/span>, callbacks=[StreamingStdOutCallbackHandler()], temperature=0<\/span>)<\/span>\nresp<\/span> = llm(\"\u7ed9\u6211\u5199\u9996\u8bd7\"<\/span>)<\/span>\n<\/code><\/pre>\n
\u7edf\u8ba1token\u6570\u76ee<\/h2>\n
\u8fd9\u4e2a\u7edf\u8ba1token\u4f7f\u7528\u6570\u76ee\u7684\u529f\u80fd\u76ee\u524d\u53ea\u80fd\u5728openai\u4f7f\u7528\u3002<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> langchain.llms import<\/span> OpenAI<\/span>\nfrom<\/span> langchain.callbacks import<\/span> get_openai_callback<\/span>\n<\/span>\nllm = OpenAI(model_name=\"text-davinci-002\"<\/span>, n=2<\/span>, best_of=2<\/span>)<\/span>\n<\/span>\nwith<\/span> get_openai_callback() as<\/span> cb:<\/span>\n    result = llm(\"T\u7ed9\u6211\u5199\u9996\u8bd7\"<\/span>)<\/span>\n    print<\/span>(cb)<\/span>\n<\/code><\/pre>\n
\u603b\u7ed3<\/h1>\n
LLM\u662f\u5927\u8bed\u8a00\u6a21\u578b\u6700\u57fa\u7840\u7684\u6a21\u5f0f\uff0cchat\u6a21\u5f0f\u7684\u5e95\u5c42\u5c31\u662f\u57fa\u4e8eLLM\u5b9e\u73b0\u7684\u3002\u540e\u7eed\u6211\u4eec\u4f1a\u8be6\u7ec6\u4ecb\u7ecdchat\u6a21\u5f0f\uff0c\u5c3d\u8bf7\u671f\u5f85\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u6784\u5efa\u5728\u5927\u8bed\u8a00\u6a21\u578b\u57fa\u7840\u4e0a\u7684\u5e94\u7528\u901a\u5e38\u6709\u4e24\u79cd\uff0c\u7b2c\u4e00\u79cd\u53eb\u505atext completion,\u4e5f\u5c31\u662f\u4e00\u95ee\u4e00\u7b54\u7684\u6a21\u5f0f\uff0c\u8f93\u5165\u662ftext\uff0c\u8f93\u51fa\u4e5f\u662ftext\u3002\u8fd9\u79cd\u6a21\u578b\u4e0b\u5e94\u7528\u5e76\u4e0d\u4f1a\u8bb0\u5fc6\u4e4b\u524d\u7684\u95ee\u9898\u5185\u5bb9\uff0c\u6bcf\u4e00\u4e2a\u95ee\u9898\u90fd\u662f\u6700<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","views":"47","footnotes":""},"categories":[3],"tags":[126,127,128,129,136],"collection":[],"class_list":["post-1317","post","type-post","status-publish","format-standard","hentry","category-fenlei2","tag-gpt","tag-ai","tag-128","tag-129","tag-136"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1317","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/comments?post=1317"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1317\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1317"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}