{"id":34963,"date":"2025-08-06T12:31:20","date_gmt":"2025-08-06T04:31:20","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34963"},"modified":"2025-08-06T12:31:20","modified_gmt":"2025-08-06T04:31:20","slug":"gpt-oss","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/gpt-oss\/","title":{"rendered":"GPT-OSS\uff1aOpenAI\u5f00\u6e90\u7684\u9ad8\u6548\u63a8\u7406\u5927\u6a21\u578b"},"content":{"rendered":"<p>GPT-OSS \u662f OpenAI \u63a8\u51fa\u7684\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\u7cfb\u5217\uff0c\u5305\u62ec\u00a0<code>gpt-oss-120b<\/code>\u00a0\u548c\u00a0<code>gpt-oss-20b<\/code>\uff0c\u5206\u522b\u62e5\u6709 1170 \u4ebf\u548c 210 \u4ebf\u53c2\u6570\uff0c\u91c7\u7528 Apache 2.0 \u8bb8\u53ef\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u514d\u8d39\u4e0b\u8f7d\u3001\u4fee\u6539\u548c\u90e8\u7f72\u3002<code>gpt-oss-120b<\/code>\u00a0\u9002\u5408\u6570\u636e\u4e2d\u5fc3\u6216\u9ad8\u7aef\u8bbe\u5907\uff0c\u5355 Nvidia H100 GPU \u5373\u53ef\u8fd0\u884c\uff1b<code>gpt-oss-20b<\/code>\u00a0\u9488\u5bf9\u4f4e\u5ef6\u8fdf\u573a\u666f\uff0c\u53ef\u5728 16GB \u5185\u5b58\u8bbe\u5907\u4e0a\u8fd0\u884c\u3002\u6a21\u578b\u652f\u6301\u94fe\u5f0f\u63a8\u7406\u3001\u5de5\u5177\u8c03\u7528\u548c\u7ed3\u6784\u5316\u8f93\u51fa\uff0c\u9002\u7528\u4e8e\u667a\u80fd\u4f53\u4efb\u52a1\u548c\u672c\u5730\u5316\u5e94\u7528\u3002OpenAI \u901a\u8fc7\u5b89\u5168\u8bad\u7ec3\u548c\u5916\u90e8\u5ba1\u6838\u786e\u4fdd\u6a21\u578b\u5b89\u5168\u6027\uff0c\u9002\u5408\u4f01\u4e1a\u3001\u7814\u7a76\u548c\u4e2a\u4eba\u5f00\u53d1\u8005\u4f7f\u7528\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/17baa764ad9e1bd.png\" alt=\"\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u5f00\u6e90\u6a21\u578b\u4e0b\u8f7d<\/strong>\uff1a\u63d0\u4f9b\u00a0<code>gpt-oss-120b<\/code>\u00a0\u548c\u00a0<code>gpt-oss-20b<\/code>\u00a0\u6a21\u578b\u6743\u91cd\uff0cHugging Face \u5e73\u53f0\u514d\u8d39\u83b7\u53d6\u3002<\/li>\n<li><strong>\u9ad8\u6548\u63a8\u7406<\/strong>\uff1a\u91c7\u7528 MXFP4 \u91cf\u5316\uff0c<code>gpt-oss-120b<\/code>\u00a0\u5355 GPU \u8fd0\u884c\uff0c<code>gpt-oss-20b<\/code>\u00a0\u9002\u914d 16GB \u5185\u5b58\u8bbe\u5907\u3002<\/li>\n<li><strong>\u94fe\u5f0f\u63a8\u7406<\/strong>\uff1a\u652f\u6301\u4f4e\u3001\u4e2d\u3001\u9ad8\u4e09\u79cd\u63a8\u7406\u5f3a\u5ea6\uff0c\u5f00\u53d1\u8005\u53ef\u6839\u636e\u4efb\u52a1\u8c03\u6574\u6027\u80fd\u4e0e\u5ef6\u8fdf\u3002<\/li>\n<li><strong>\u5de5\u5177\u8c03\u7528<\/strong>\uff1a\u96c6\u6210\u7f51\u9875\u641c\u7d22\u3001Python \u4ee3\u7801\u6267\u884c\u548c\u6587\u4ef6\u64cd\u4f5c\u5de5\u5177\uff0c\u63d0\u5347\u4ea4\u4e92\u80fd\u529b\u3002<\/li>\n<li><strong>Harmony \u683c\u5f0f<\/strong>\uff1a\u4f7f\u7528\u4e13\u6709 Harmony \u54cd\u5e94\u683c\u5f0f\uff0c\u786e\u4fdd\u8f93\u51fa\u7ed3\u6784\u5316\uff0c\u4fbf\u4e8e\u8c03\u8bd5\u3002<\/li>\n<li><strong>\u591a\u5e73\u53f0\u652f\u6301<\/strong>\uff1a\u517c\u5bb9 Transformers\u3001vLLM\u3001Ollama\u3001LM Studio \u7b49\u6846\u67b6\uff0c\u9002\u914d\u591a\u79cd\u786c\u4ef6\u3002<\/li>\n<li><strong>\u5b89\u5168\u673a\u5236<\/strong>\uff1a\u901a\u8fc7\u5ba1\u614e\u5bf9\u9f50\u548c\u6307\u4ee4\u4f18\u5148\u7ea7\u4f53\u7cfb\uff0c\u964d\u4f4e\u63d0\u793a\u6ce8\u5165\u7b49\u98ce\u9669\u3002<\/li>\n<li><strong>\u53ef\u5fae\u8c03<\/strong>\uff1a\u652f\u6301\u5168\u53c2\u6570\u5fae\u8c03\uff0c\u9002\u914d\u7279\u5b9a\u4efb\u52a1\u573a\u666f\u3002<\/li>\n<li><strong>\u957f\u4e0a\u4e0b\u6587\u652f\u6301<\/strong>\uff1a\u539f\u751f\u652f\u6301 128k \u4e0a\u4e0b\u6587\u957f\u5ea6\uff0c\u9002\u5408\u590d\u6742\u4efb\u52a1\u5904\u7406\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 GPT-OSS \u6a21\u578b\uff0c\u9700\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd\u5e76\u914d\u7f6e\u73af\u5883\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong><br \/>\n\u4ece Hugging Face \u83b7\u53d6\u6a21\u578b\u6743\u91cd\uff1a<\/p>\n<pre><code>huggingface-cli download openai\/gpt-oss-120b --include \"original\/*\" --local-dir gpt-oss-120b\/\r\nhuggingface-cli download openai\/gpt-oss-20b --include \"original\/*\" --local-dir gpt-oss-20b\/\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5b89\u88c5\u00a0<code>huggingface-cli<\/code>\uff1a<code>pip install huggingface_hub<\/code>\u3002<\/li>\n<li><strong>\u914d\u7f6e Python \u73af\u5883<\/strong><br \/>\n\u4f7f\u7528 Python 3.12 \u521b\u5efa\u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code>uv venv gpt-oss --python 3.12\r\nsource gpt-oss\/bin\/activate\r\npip install --upgrade pip\r\n<\/code><\/pre>\n<p>\u5b89\u88c5\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install transformers accelerate torch\r\npip install gpt-oss\r\n<\/code><\/pre>\n<p>\u5bf9\u4e8e Triton \u5b9e\u73b0\uff0c\u9700\u989d\u5916\u5b89\u88c5\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/triton-lang\/triton\r\ncd triton\r\npip install -r python\/requirements.txt\r\npip install -e .\r\npip install gpt-oss[triton]\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u6a21\u578b<\/strong>\n<ul>\n<li><strong>Transformers \u5b9e\u73b0<\/strong>\uff1a\u52a0\u8f7d\u5e76\u8fd0\u884c\u00a0<code>gpt-oss-20b<\/code>\uff1a\n<pre><code>from transformers import pipeline\r\nimport torch\r\nmodel_id = \"openai\/gpt-oss-20b\"\r\npipe = pipeline(\"text-generation\", model=model_id, torch_dtype=\"auto\", device_map=\"auto\")\r\nmessages = [{\"role\": \"user\", \"content\": \"\u91cf\u5b50\u529b\u5b66\u662f\u4ec0\u4e48\uff1f\"}]\r\noutputs = pipe(messages, max_new_tokens=256)\r\nprint(outputs[0][\"generated_text\"][-1])\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u4f7f\u7528 Harmony \u683c\u5f0f\uff0c\u5426\u5219\u6a21\u578b\u65e0\u6cd5\u6b63\u5e38\u5de5\u4f5c\u3002<\/li>\n<li><strong>vLLM \u5b9e\u73b0<\/strong>\uff1a\u542f\u52a8 OpenAI \u517c\u5bb9\u670d\u52a1\u5668\uff1a\n<pre><code>uv pip install --pre vllm==0.10.1+gptoss --extra-index-url https:\/\/wheels.vllm.ai\/gpt-oss\/\r\n<a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vllm<\/a> serve openai\/gpt-oss-20b\r\n<\/code><\/pre>\n<\/li>\n<li><strong>Ollama \u5b9e\u73b0<\/strong>\uff08\u6d88\u8d39\u7ea7\u786c\u4ef6\uff09\uff1a\n<pre><code><a href=\"https:\/\/www.kdjingpai.com\/de\/ollama\/\">ollama<\/a> pull gpt-oss:20b\r\nollama run gpt-oss:20b\r\n<\/code><\/pre>\n<\/li>\n<li><strong>LM Studio \u5b9e\u73b0<\/strong>\uff1a\n<pre><code>lms get openai\/gpt-oss-20b\r\n<\/code><\/pre>\n<\/li>\n<li><strong>Apple Silicon \u5b9e\u73b0<\/strong>\uff1a\u8f6c\u6362\u6743\u91cd\u4e3a Metal \u683c\u5f0f\uff1a\n<pre><code>pip install -e .[metal]\r\npython gpt_oss\/metal\/scripts\/create-local-model.py -s gpt-oss-20b\/metal\/ -d model.bin\r\npython gpt_oss\/metal\/examples\/generate.py gpt-oss-20b\/metal\/model.bin -p \"\u4e3a\u4ec0\u4e48\u9e21\u8fc7\u9a6c\u8def\uff1f\"\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u64cd\u4f5c\u529f\u80fd<\/h3>\n<ul>\n<li><strong>\u94fe\u5f0f\u63a8\u7406<\/strong>\uff1a\u6a21\u578b\u652f\u6301\u4e09\u79cd\u63a8\u7406\u5f3a\u5ea6\uff08\u4f4e\u3001\u4e2d\u3001\u9ad8\uff09\u3002\u5f00\u53d1\u8005\u53ef\u901a\u8fc7\u7cfb\u7edf\u6d88\u606f\u8bbe\u7f6e\uff0c\u4f8b\u5982\uff1a\n<pre><code>system_message_content = SystemContent.new().with_reasoning_effort(\"high\")\r\n<\/code><\/pre>\n<p>\u9ad8\u5f3a\u5ea6\u9002\u5408\u590d\u6742\u4efb\u52a1\u5982\u6570\u5b66\u63a8\u7406\uff0c\u4f4e\u5f3a\u5ea6\u9002\u5408\u5feb\u901f\u56de\u7b54\u3002<\/li>\n<li><strong>Harmony \u683c\u5f0f<\/strong>\uff1a\u6a21\u578b\u8f93\u51fa\u5206\u4e3a\u00a0<code>analysis<\/code>\uff08\u63a8\u7406\u8fc7\u7a0b\uff09\u548c\u00a0<code>final<\/code>\uff08\u6700\u7ec8\u7b54\u6848\uff09\u3002\u4f7f\u7528 Harmony \u5e93\u89e3\u6790\uff1a\n<pre><code>from openai_harmony import load_harmony_encoding, HarmonyEncodingName, Conversation, Message, Role, SystemContent\r\nencoding = load_harmony_encoding(HarmonyEncodingName.HARMONY_GPT_OSS)\r\nmessages = [Message.from_role_and_content(Role.USER, \"\u65e7\u91d1\u5c71\u5929\u6c14\u5982\u4f55\uff1f\")]\r\nconversation = Conversation.from_messages(messages)\r\ntoken_ids = encoding.render_conversation_for_completion(conversation, Role.ASSISTANT)\r\n<\/code><\/pre>\n<p>\u4ec5\u5411\u7528\u6237\u5c55\u793a\u00a0<code>final<\/code>\u00a0\u901a\u9053\u5185\u5bb9\u3002<\/li>\n<li><strong>\u5de5\u5177\u8c03\u7528<\/strong>\uff1a\n<ul>\n<li><strong>\u7f51\u9875\u641c\u7d22<\/strong>\uff1a\u901a\u8fc7\u00a0<code>browser<\/code>\u00a0\u5de5\u5177\u641c\u7d22\u3001\u6253\u5f00\u6216\u67e5\u627e\u7f51\u9875\u5185\u5bb9\u3002\u542f\u7528\u5de5\u5177\uff1a\n<pre><code>from gpt_oss.tools.simple_browser import SimpleBrowserTool, ExaBackend\r\nbackend = ExaBackend(source=\"web\")\r\nbrowser_tool = SimpleBrowserTool(backend=backend)\r\nsystem_message_content = SystemContent.new().with_tools(browser_tool.tool_config)\r\n<\/code><\/pre>\n<p>\u9700\u8bbe\u7f6e\u00a0<code>EXA_API_KEY<\/code>\u00a0\u73af\u5883\u53d8\u91cf\u3002<\/li>\n<li><strong>Python \u4ee3\u7801\u6267\u884c<\/strong>\uff1a\u8fd0\u884c\u8ba1\u7b97\u4efb\u52a1\uff0c\u4f8b\u5982\uff1a\n<pre><code>from gpt_oss.tools.python_docker.docker_tool import PythonTool\r\npython_tool = PythonTool()\r\nsystem_message_content = SystemContent.new().with_tools(python_tool.tool_config)\r\n<\/code><\/pre>\n<p>\u6ce8\u610f\uff1aPython \u5de5\u5177\u4f7f\u7528 Docker \u5bb9\u5668\uff0c\u9700\u8c28\u614e\u5904\u7406\u63d0\u793a\u6ce8\u5165\u98ce\u9669\u3002<\/li>\n<li><strong>\u6587\u4ef6\u64cd\u4f5c<\/strong>\uff1a\u901a\u8fc7\u00a0<code>apply_patch<\/code>\u00a0\u5de5\u5177\u521b\u5efa\u3001\u66f4\u65b0\u6216\u5220\u9664\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u7ed3\u6784\u5316\u8f93\u51fa<\/strong>\uff1a\u652f\u6301 Responses API \u683c\u5f0f\uff0c\u786e\u4fdd\u8f93\u51fa\u4e00\u81f4\u6027\uff0c\u9002\u5408\u667a\u80fd\u4f53\u5de5\u4f5c\u6d41\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a<code>gpt-oss-120b<\/code>\u00a0\u9700 80GB GPU\uff08\u5982 Nvidia H100\uff09\uff0c<code>gpt-oss-20b<\/code>\u00a0\u9700 16GB \u5185\u5b58\u3002Apple Silicon \u9700 Metal \u683c\u5f0f\u6743\u91cd\u3002<\/li>\n<li><strong>\u4e0a\u4e0b\u6587\u957f\u5ea6<\/strong>\uff1a\u652f\u6301 128k \u4e0a\u4e0b\u6587\uff0c\u9700\u8c03\u6574\u00a0<code>max_context_length<\/code>\u00a0\u53c2\u6570\u3002<\/li>\n<li><strong>\u5b89\u5168\u4f7f\u7528<\/strong>\uff1a\u907f\u514d\u76f4\u63a5\u5c55\u793a\u94fe\u5f0f\u63a8\u7406\u5185\u5bb9\uff0c\u9632\u6b62\u6709\u5bb3\u4fe1\u606f\u6cc4\u9732\u3002<\/li>\n<li><strong>\u91c7\u6837\u53c2\u6570<\/strong>\uff1a\u63a8\u8350\u00a0<code>temperature=1.0<\/code>\u00a0\u548c\u00a0<code>top_p=1.0<\/code>\u00a0\u4ee5\u83b7\u5f97\u6700\u4f73\u8f93\u51fa\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u4f01\u4e1a\u672c\u5730\u5316\u90e8\u7f72<\/strong><br \/>\n\u4f01\u4e1a\u53ef\u5728\u672c\u5730\u670d\u52a1\u5668\u8fd0\u884c GPT-OSS\uff0c\u5904\u7406\u654f\u611f\u6570\u636e\uff0c\u9002\u5408\u5ba2\u6237\u670d\u52a1\u3001\u5185\u90e8\u77e5\u8bc6\u5e93\u6216\u5408\u89c4\u6027\u8981\u6c42\u9ad8\u7684\u573a\u666f\u3002<\/li>\n<li><strong>\u5f00\u53d1\u8005\u5b9a\u5236\u5316\u5f00\u53d1<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u57fa\u4e8e Apache 2.0 \u8bb8\u53ef\u5fae\u8c03\u6a21\u578b\uff0c\u4f18\u5316\u7279\u5b9a\u4efb\u52a1\uff0c\u5982\u6cd5\u5f8b\u6587\u6863\u5206\u6790\u6216\u4ee3\u7801\u751f\u6210\u3002<\/li>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u5229\u7528\u6a21\u578b\u8fdb\u884c AI \u7b97\u6cd5\u5b9e\u9a8c\uff0c\u5206\u6790\u63a8\u7406\u884c\u4e3a\u6216\u5f00\u53d1\u5b89\u5168\u76d1\u6d4b\u7cfb\u7edf\u3002<\/li>\n<li><strong>\u6d88\u8d39\u7ea7\u8bbe\u5907\u5e94\u7528<\/strong><br \/>\n<code>gpt-oss-20b<\/code>\u00a0\u9002\u914d\u7b14\u8bb0\u672c\u7535\u8111\u6216\u8fb9\u7f18\u8bbe\u5907\uff0c\u9002\u5408\u5f00\u53d1\u4e2a\u4eba\u52a9\u624b\u6216\u79bb\u7ebf\u5199\u4f5c\u5de5\u5177\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>GPT-OSS \u652f\u6301\u54ea\u4e9b\u786c\u4ef6\uff1f<\/strong><br \/>\n<code>gpt-oss-120b<\/code>\u00a0\u9700 80GB GPU\uff08\u5982 Nvidia H100\uff09\uff0c<code>gpt-oss-20b<\/code>\u00a0\u53ef\u5728 16GB \u5185\u5b58\u8bbe\u5907\u8fd0\u884c\uff0c\u5982\u9ad8\u7aef\u7b14\u8bb0\u672c\u6216 Apple Silicon\u3002<\/li>\n<li><strong>\u5982\u4f55\u786e\u4fdd\u6a21\u578b\u5b89\u5168\uff1f<\/strong><br \/>\n\u6a21\u578b\u7ecf\u8fc7\u5ba1\u614e\u5bf9\u9f50\u548c\u6307\u4ee4\u4f18\u5148\u7ea7\u8bad\u7ec3\uff0c\u62b5\u5fa1\u63d0\u793a\u6ce8\u5165\u3002OpenAI \u4e3e\u529e $500,000 \u7ea2\u961f\u6311\u6218\uff0c\u9f13\u52b1\u793e\u533a\u53d1\u73b0\u5b89\u5168\u6f0f\u6d1e\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301\u591a\u6a21\u6001\uff1f<\/strong><br \/>\n\u4ec5\u652f\u6301\u6587\u672c\u8f93\u5165\u548c\u8f93\u51fa\uff0c\u4e0d\u652f\u6301\u56fe\u50cf\u6216\u5176\u4ed6\u6a21\u6001\u3002<\/li>\n<li><strong>\u5982\u4f55\u5fae\u8c03\u6a21\u578b\uff1f<\/strong><br \/>\n\u4f7f\u7528 Transformers \u6216\u5176\u4ed6\u6846\u67b6\uff0c\u52a0\u8f7d\u6a21\u578b\u6743\u91cd\u540e\uff0c\u5728\u81ea\u5b9a\u4e49\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u5168\u53c2\u6570\u5fae\u8c03\u3002<\/li>\n<li><strong>Harmony \u683c\u5f0f\u6709\u4f55\u4f5c\u7528\uff1f<\/strong><br \/>\nHarmony \u683c\u5f0f\u786e\u4fdd\u7ed3\u6784\u5316\u8f93\u51fa\uff0c\u4fbf\u4e8e\u8c03\u8bd5\u548c\u4fe1\u4efb\u3002\u5fc5\u987b\u4f7f\u7528\uff0c\u5426\u5219\u6a21\u578b\u65e0\u6cd5\u6b63\u5e38\u8fd0\u884c\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>GPT-OSS \u662f OpenAI \u63a8\u51fa\u7684\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\u7cfb\u5217\uff0c\u5305\u62ec\u00a0gpt-oss-120b\u00a0\u548c\u00a0gpt-oss-20b\uff0c\u5206\u522b\u62e5\u6709 1170 \u4ebf\u548c 210 \u4ebf\u53c2\u6570\uff0c\u91c7\u7528 Apache 2.0 \u8bb8\u53ef\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u514d\u8d39\u4e0b\u8f7d\u3001\u4fee\u6539\u548c\u90e8\u7f72\u3002gpt-oss&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,392,397],"tags":[230],"class_list":["post-34963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-models","category-text-model","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/34963","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=34963"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/34963\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=34963"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=34963"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=34963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}