{"id":18666,"date":"2025-10-25T01:53:42","date_gmt":"2025-10-25T01:53:42","guid":{"rendered":"https:\/\/pokecon.jp\/job\/?p=18666"},"modified":"2025-10-25T01:53:42","modified_gmt":"2025-10-25T01:53:42","slug":"openai%e3%81%aestructured-outputs%e3%82%92streaming%e3%81%a7%e5%ae%9f%e8%a1%8c%e3%81%97%e3%81%a6json%e3%82%92%e3%83%91%e3%83%bc%e3%82%b9%e3%81%97%e7%b6%9a%e3%81%91%e3%81%9f%e3%81%84%e3%81%a8%e3%81%8d","status":"publish","type":"post","link":"https:\/\/pokecon.jp\/job\/18666\/","title":{"rendered":"OpenAI\u306eStructured Outputs\u3092Streaming\u3067\u5b9f\u884c\u3057\u3066JSON\u3092\u30d1\u30fc\u30b9\u3057\u7d9a\u3051\u305f\u3044\u3068\u304d\u306e\u5bfe\u5fdc\u65b9\u6cd5 &#8211; Generative Agents Tech Blog"},"content":{"rendered":"\n<br \/><img decoding=\"async\" src=\"https:\/\/ogimage.blog.st-hatena.com\/6801883189115446667\/6802888565297582962\/1761351766\" \/><\/p>\n<div>\n<p>OpenAI\u306eStructured Outputs\u306fStreaming\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<br \/>\n\u3057\u304b\u3057\u3001Streaming\u306e\u9014\u4e2d\u3067\u306f\u3001LLM\u306e\u751f\u6210\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u306f<code>{\"<\/code>\u3084<code>{\"name<\/code>\u306a\u3069\u3001JSON\u3068\u3057\u3066\u4e0d\u6b63\u306a\u5f62\u5f0f\u3068\u306a\u308a\u307e\u3059\u3002<br \/>\n\u3053\u306e\u3088\u3046\u306a\u6587\u5b57\u5217\u3092JSON\u3068\u3057\u3066\u6271\u3048\u308b\u3088\u3046\u306b\u4fee\u6b63\u3057\u3066\u30d1\u30fc\u30b9\u3057\u7d9a\u3051\u305f\u3044\u5834\u5408\u306e\u5bfe\u5fdc\u65b9\u6cd5\u3092\u307e\u3068\u3081\u307e\u3059\u3002<\/p>\n<p>\u203b\u3053\u306e\u8a18\u4e8b\u306f\u3001OpenAI\u306eStructured Outputs\u3092\u4f7f\u3046\u5834\u5408\u306e\u307f\u304c\u5bfe\u8c61\u3067\u3059\u3002\u4ed6\u306e\u30d7\u30ed\u30d0\u30a4\u30c0\u306e\u30e2\u30c7\u30eb\u3084Structured Outputs\u4ee5\u5916\u306e\u69cb\u9020\u5316\u51fa\u529b\u65b9\u6cd5\u3092\u4f7f\u3046\u5834\u5408\u306f\u3001\u3053\u306e\u8a18\u4e8b\u306e\u5185\u5bb9\u3068\u306f\u7570\u306a\u308b\u5bfe\u5fdc\u304c\u5fc5\u8981\u306a\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<h2 id=\"clientchatcompletionsstream\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\"><code>client.chat.completions.stream<\/code>\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408<\/h2>\n<p>\u5b9f\u306fOpenAI\u306eStructured Outputs\u3067Streaming\u3092\u4f7f\u3046\u4f8b\u306f\u3001OpenAI\u306e\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306b\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><iframe src=\"https:\/\/hatenablog-parts.com\/embed?url=https%3A%2F%2Fplatform.openai.com%2Fdocs%2Fguides%2Fstructured-outputs%2Fintroduction%23streaming\" title=\"OpenAI Platform\" class=\"embed-card embed-webcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 155px; max-width: 500px; margin: 10px 0px;\" loading=\"lazy\"><\/iframe><cite class=\"hatena-citation\"><a target=\"_blank\" href=\"https:\/\/platform.openai.com\/docs\/guides\/structured-outputs\/introduction#streaming\">platform.openai.com<\/a><\/cite><\/p>\n<p>\u305f\u3068\u3048\u3070\u6b21\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> json\n\n<span class=\"synPreProc\">from<\/span> dotenv <span class=\"synPreProc\">import<\/span> load_dotenv\n<span class=\"synPreProc\">from<\/span> openai <span class=\"synPreProc\">import<\/span> OpenAI\n<span class=\"synPreProc\">from<\/span> pydantic <span class=\"synPreProc\">import<\/span> BaseModel, Field\n\nload_dotenv()\n\n\n<span class=\"synStatement\">class<\/span> <span class=\"synIdentifier\">Recipe<\/span>(BaseModel):\n    ingredients: <span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>] = Field(description=<span class=\"synConstant\">\"\u6599\u7406\u306e\u6750\u6599\"<\/span>)\n    steps: <span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>] = Field(description=<span class=\"synConstant\">\"\u6599\u7406\u306e\u4f5c\u308a\u65b9\"<\/span>)\n\n\nclient = OpenAI()\n\n<span class=\"synStatement\">with<\/span> client.chat.completions.stream(\n    model=<span class=\"synConstant\">\"gpt-5-nano\"<\/span>,\n    reasoning_effort=<span class=\"synConstant\">\"minimal\"<\/span>,\n    messages=[{<span class=\"synConstant\">\"role\"<\/span>: <span class=\"synConstant\">\"user\"<\/span>, <span class=\"synConstant\">\"content\"<\/span>: <span class=\"synConstant\">\"\u30ab\u30ec\u30fc\u306e\u30ec\u30b7\u30d4\u3092\u8003\u3048\u3066\"<\/span>}],\n    response_format=Recipe,\n) <span class=\"synStatement\">as<\/span> stream:\n    <span class=\"synStatement\">for<\/span> event <span class=\"synStatement\">in<\/span> stream:\n        <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">hasattr<\/span>(event, <span class=\"synConstant\">\"parsed\"<\/span>) <span class=\"synStatement\">and<\/span> event.parsed <span class=\"synStatement\">is<\/span> <span class=\"synStatement\">not<\/span> <span class=\"synIdentifier\">None<\/span>:\n            <span class=\"synIdentifier\">print<\/span>(json.dumps(event.parsed, ensure_ascii=<span class=\"synIdentifier\">False<\/span>), flush=<span class=\"synIdentifier\">True<\/span>)\n<\/pre>\n<p>\u3053\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3059\u308b\u3068\u3001\u6b21\u306e\u3088\u3046\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">{}\n{}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": []}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\"]}\n    :<\/pre>\n<p>OpenAI\u306ePython\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306f\u5185\u90e8\u3067jiter\u3068\u3044\u3046\u30e9\u30a4\u30d6\u30e9\u30ea\u306efrom_json\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001<code>{\"ingredients\":[\"<\/code>\u3068\u3044\u3063\u305f\u4e0d\u6b63\u306aJSON\u3092<code>{\"ingredients\": []}<\/code>\u306e\u3088\u3046\u306a\u6b63\u5f53\u306aJSON\u306b\u5909\u63db\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\">                choice_snapshot.message.parsed = from_json(\n                    <span class=\"synIdentifier\">bytes<\/span>(choice_snapshot.message.content, <span class=\"synConstant\">\"utf-8\"<\/span>),\n                    partial_mode=<span class=\"synIdentifier\">True<\/span>,\n                )\n<\/pre>\n<p>\u30b3\u30fc\u30c9\u5f15\u7528\u5143\uff1a<a target=\"_blank\" href=\"https:\/\/github.com\/openai\/openai-python\/blob\/dff16b5e9964bf85157eb41181255ed5dde8dda4\/src\/openai\/lib\/streaming\/chat\/_completions.py#L444\">https:\/\/github.com\/openai\/openai-python\/blob\/dff16b5e9964bf85157eb41181255ed5dde8dda4\/src\/openai\/lib\/streaming\/chat\/_completions.py#L444<\/a><\/p>\n<h2 id=\"clientchatcompletionscreate\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\"><code>client.chat.completions.create<\/code>\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408<\/h2>\n<p><code>client.chat.completions.stream<\/code>\u3092\u4f7f\u7528\u3059\u308b\u4ee5\u5916\u306b\u3001<code>client.chat.completions.create<\/code>\u3092\u4f7f\u3046\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u305f\u3060\u3057\u3001<code>client.chat.completions.create<\/code>\u306b\u306f\u3001\u4e0d\u6b63\u306aJSON\u3092\u6b63\u5f53\u306aJSON\u306b\u5909\u63db\u3059\u308b\u6a5f\u80fd\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n<p>\u6b21\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001LangChain\u306eJsonOutputParser\u3092\u4f7f\u7528\u3057\u3066<code>{\"ingredients\":[\"<\/code>\u3068\u3044\u3063\u305f\u4e0d\u6b63\u306aJSON\u3092<code>{\"ingredients\": []}<\/code>\u306e\u3088\u3046\u306a\u6b63\u5f53\u306aJSON\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> json\n\n<span class=\"synPreProc\">from<\/span> dotenv <span class=\"synPreProc\">import<\/span> load_dotenv\n<span class=\"synPreProc\">from<\/span> langchain_core.output_parsers <span class=\"synPreProc\">import<\/span> JsonOutputParser\n<span class=\"synPreProc\">from<\/span> openai <span class=\"synPreProc\">import<\/span> OpenAI\n<span class=\"synPreProc\">from<\/span> pydantic <span class=\"synPreProc\">import<\/span> BaseModel, Field\n\nload_dotenv()\n\n\n<span class=\"synStatement\">class<\/span> <span class=\"synIdentifier\">Recipe<\/span>(BaseModel):\n    ingredients: <span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>] = Field(description=<span class=\"synConstant\">\"\u6599\u7406\u306e\u6750\u6599\"<\/span>)\n    steps: <span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>] = Field(description=<span class=\"synConstant\">\"\u6599\u7406\u306e\u4f5c\u308a\u65b9\"<\/span>)\n\n\nclient = OpenAI()\n\nresponse = client.chat.completions.create(\n    model=<span class=\"synConstant\">\"gpt-5-nano\"<\/span>,\n    reasoning_effort=<span class=\"synConstant\">\"minimal\"<\/span>,\n    messages=[{<span class=\"synConstant\">\"role\"<\/span>: <span class=\"synConstant\">\"user\"<\/span>, <span class=\"synConstant\">\"content\"<\/span>: <span class=\"synConstant\">\"\u30ab\u30ec\u30fc\u306e\u30ec\u30b7\u30d4\u3092\u8003\u3048\u3066\"<\/span>}],\n    response_format={\n        <span class=\"synConstant\">\"type\"<\/span>: <span class=\"synConstant\">\"json_schema\"<\/span>,\n        <span class=\"synConstant\">\"json_schema\"<\/span>: {\n            <span class=\"synConstant\">\"name\"<\/span>: <span class=\"synConstant\">\"Recipe\"<\/span>,\n            <span class=\"synConstant\">\"schema\"<\/span>: {\n                **Recipe.model_json_schema(),\n                <span class=\"synConstant\">\"additionalProperties\"<\/span>: <span class=\"synIdentifier\">False<\/span>,\n            },\n            <span class=\"synConstant\">\"strict\"<\/span>: <span class=\"synIdentifier\">True<\/span>,\n        },\n    },\n    stream=<span class=\"synIdentifier\">True<\/span>,\n)\n\noutput_parser = JsonOutputParser()\n\ncontent = <span class=\"synConstant\">\"\"<\/span>\n<span class=\"synStatement\">for<\/span> chunk <span class=\"synStatement\">in<\/span> response:\n    <span class=\"synStatement\">if<\/span> <span class=\"synIdentifier\">len<\/span>(chunk.choices) == <span class=\"synConstant\">0<\/span>:\n        <span class=\"synStatement\">continue<\/span>\n    chunk_content = chunk.choices[<span class=\"synConstant\">0<\/span>].delta.content\n    <span class=\"synStatement\">if<\/span> chunk_content:\n        content += chunk_content\n        parsed_content = output_parser.invoke(content)\n        <span class=\"synIdentifier\">print<\/span>(json.dumps(parsed_content, ensure_ascii=<span class=\"synIdentifier\">False<\/span>), flush=<span class=\"synIdentifier\">True<\/span>)\n<\/pre>\n<p>\u5b9f\u884c\u3059\u308b\u3068\u3001\u6b21\u306e\u3088\u3046\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">{}\n{}\n{\"ingredients\": [\"\"]}\n{\"ingredients\": [\"\u7389\"]}\n{\"ingredients\": [\"\u7389\u306d\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\u304c\"]}<\/pre>\n<p>jiter\u306efrom_json\u3068LangChain\u306eJsonOutputParser\u3067\u3001<code>{\"ingredients\": [\"\u7389<\/code>\u306e\u3088\u3046\u306a\u4e0d\u6b63\u306aJSON\u304c<code>{\"ingredients\": []}<\/code>\u306b\u306a\u308b\u304b<code>{\"ingredients\": [\"\u7389\"]}<\/code>\u306b\u306a\u308b\u304b\u3068\u3044\u3063\u305f\u9055\u3044\u304c\u3042\u308b\u3053\u3068\u3082\u5206\u304b\u308a\u307e\u3059\u3002<\/p>\n<p>\u3061\u306a\u307f\u306b\u3001Structured Outputs\u3067\u3088\u304f\u4f7f\u308f\u308c\u308b<code>client.chat.completions.parse<\/code>\u306fstream\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n<h2 id=\"LangChain\u306ewith_structured_output\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\">LangChain\u306ewith_structured_output\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408<\/h2>\n<p>\u6700\u5f8c\u306b\u3001LangChain\u306ewith_structured_output\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u3067\u3059\u3002<\/p>\n<p>LangChain\u306ewith_structured_output\u306f\u3001\u30b9\u30ad\u30fc\u30de\u3068\u3057\u3066TypedDict\u3092\u4f7f\u7528\u3059\u308c\u3070\u3001<code>model_with_structure.stream<\/code>\u306e\u3088\u3046\u306b\u5b9f\u884c\u3059\u308b\u3060\u3051\u3067\u3001\u3053\u3053\u307e\u3067\u306e\u3088\u3046\u306a\u51e6\u7406\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<p>\u203b\u73fe\u6642\u70b9\u3067\u306f\u3001\u30b9\u30ad\u30fc\u30de\u3068\u3057\u3066Pydantic\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u3046\u5834\u5408\u306b\u306f\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n<p>\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"code lang-python\" data-lang=\"python\" data-unlink=\"\"><span class=\"synPreProc\">import<\/span> json\n<span class=\"synPreProc\">from<\/span> typing <span class=\"synPreProc\">import<\/span> Annotated\n\n<span class=\"synPreProc\">from<\/span> dotenv <span class=\"synPreProc\">import<\/span> load_dotenv\n<span class=\"synPreProc\">from<\/span> langchain.chat_models <span class=\"synPreProc\">import<\/span> init_chat_model\n<span class=\"synPreProc\">from<\/span> typing_extensions <span class=\"synPreProc\">import<\/span> TypedDict\n\nload_dotenv()\n\n\n<span class=\"synStatement\">class<\/span> <span class=\"synIdentifier\">Recipe<\/span>(TypedDict):\n    ingredients: Annotated[<span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>], ..., <span class=\"synConstant\">\"\u6599\u7406\u306e\u6750\u6599\"<\/span>]\n    steps: Annotated[<span class=\"synIdentifier\">list<\/span>[<span class=\"synIdentifier\">str<\/span>], ..., <span class=\"synConstant\">\"\u6599\u7406\u306e\u4f5c\u308a\u65b9\"<\/span>]\n\n\nmodel = init_chat_model(\n    model_provider=<span class=\"synConstant\">\"openai\"<\/span>,\n    model=<span class=\"synConstant\">\"gpt-5-nano\"<\/span>,\n    reasoning_effort=<span class=\"synConstant\">\"minimal\"<\/span>,\n)\n\nmodel_with_structure = model.with_structured_output(Recipe)\n\n<span class=\"synStatement\">for<\/span> chunk <span class=\"synStatement\">in<\/span> model_with_structure.stream(<span class=\"synConstant\">\"\u30ab\u30ec\u30fc\u306e\u30ec\u30b7\u30d4\u3092\u8003\u3048\u3066\"<\/span>):\n    <span class=\"synIdentifier\">print<\/span>(json.dumps(chunk, ensure_ascii=<span class=\"synIdentifier\">False<\/span>), flush=<span class=\"synIdentifier\">True<\/span>)\n<\/pre>\n<p>\u5b9f\u884c\u3059\u308b\u3068\u3001\u6b21\u306e\u3088\u3046\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n<pre class=\"code\" data-lang=\"\" data-unlink=\"\">{}\n{\"ingredients\": [\"\"]}\n{\"ingredients\": [\"\u7389\"]}\n{\"ingredients\": [\"\u7389\u306d\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\u304c\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\u304c\u3044\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\u304c\u3044\u3082\"]}\n{\"ingredients\": [\"\u7389\u306d\u304e 1\u500b\", \"\u306b\u3093\u3058\u3093 1\u672c\", \"\u3058\u3083\u304c\u3044\u3082 2\"]}<\/pre>\n<h2 id=\"\u304a\u308f\u308a\u306b\">\u304a\u308f\u308a\u306b<\/h2>\n<p>\u4ee5\u4e0a\u3001OpenAI\u306eStructured Outputs\u3092Streaming\u3067\u5b9f\u884c\u3057\u3066JSON\u3092\u30d1\u30fc\u30b9\u3057\u7d9a\u3051\u305f\u3044\u3068\u304d\u306e\u5bfe\u5fdc\u65b9\u6cd5\u3092\u307e\u3068\u3081\u307e\u3057\u305f\u3002<\/p>\n<p>\u3057\u3070\u3057\u3070\u6c42\u3081\u3089\u308c\u308b\u51e6\u7406\u306a\u306e\u3067\u3001\u3053\u306e\u8a18\u4e8b\u304c\u53c2\u8003\u306b\u306a\u308b\u65b9\u304c\u3044\u308c\u3070\u5e78\u3044\u3067\u3059\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u4e2d\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u4ee5\u4e0b\u306eGitHub\u30ea\u30dd\u30b8\u30c8\u30ea\u3067\u3082\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><iframe src=\"https:\/\/hatenablog-parts.com\/embed?url=https%3A%2F%2Fgithub.com%2Fos1ma%2Fstructured-outputs-streaming-example\" title=\"GitHub - os1ma\/structured-outputs-streaming-example\" class=\"embed-card embed-webcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 155px; max-width: 500px; margin: 10px 0px;\" loading=\"lazy\"><\/iframe><cite class=\"hatena-citation\"><a target=\"_blank\" href=\"https:\/\/github.com\/os1ma\/structured-outputs-streaming-example\">github.com<\/a><\/cite><\/p>\n<\/div>\n<p><script>(function(d, s, id) {\n  var js, fjs = d.getElementsByTagName(s)[0];\n  if (d.getElementById(id)) return;\n  js = d.createElement(s); js.id = id;\n  js.src = \"\/\/connect.facebook.net\/ja_JP\/sdk.js#xfbml=1&appId=719729204785177&version=v17.0\";\n  fjs.parentNode.insertBefore(js, fjs);\n}(document, 'script', 'facebook-jssdk'));<\/script><br \/>\n<br \/>\n<br \/><a href=\"https:\/\/blog.generative-agents.co.jp\/entry\/2025\/10\/25\/092245\">\u5143\u306e\u8a18\u4e8b\u3092\u78ba\u8a8d\u3059\u308b <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"OpenAI\u306eStructured Outputs\u306fStreaming\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002 \u3057\u304b\u3057\u3001Streaming\u306e\u9014\u4e2d\u3067\u306f\u3001LLM\u306e\u751f\u6210\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u306f{\"\u3084{\"name\u306a\u3069\u3001JSON\u3068\u3057\u3066\u4e0d\u6b63\u306a\u5f62\u5f0f\u3068\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u3088 [&hellip;]","protected":false},"author":1,"featured_media":18667,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-18666","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-company-tec"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OpenAI\u306eStructured Outputs\u3092Streaming\u3067\u5b9f\u884c\u3057\u3066JSON\u3092\u30d1\u30fc\u30b9\u3057\u7d9a\u3051\u305f\u3044\u3068\u304d\u306e\u5bfe\u5fdc\u65b9\u6cd5 - Generative Agents Tech Blog - 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\u3057\u304b\u3057\u3001Streaming\u306e\u9014\u4e2d\u3067\u306f\u3001LLM\u306e\u751f\u6210\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u306f{&quot;\u3084{&quot;name\u306a\u3069\u3001JSON\u3068\u3057\u3066\u4e0d\u6b63\u306a\u5f62\u5f0f\u3068\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u3088 [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.generative-agents.co.jp\/entry\/2025\/10\/25\/092245\" \/>\n<meta property=\"og:site_name\" content=\"\u30dd\u30b1\u30b3\u30f3\" \/>\n<meta property=\"article:published_time\" content=\"2025-10-25T01:53:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/pokecon.jp\/job\/wp-content\/uploads\/2025\/10\/1761351766.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"info@pokecon.jp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta 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\u3057\u304b\u3057\u3001Streaming\u306e\u9014\u4e2d\u3067\u306f\u3001LLM\u306e\u751f\u6210\u3057\u305f\u30c6\u30ad\u30b9\u30c8\u306f{\"\u3084{\"name\u306a\u3069\u3001JSON\u3068\u3057\u3066\u4e0d\u6b63\u306a\u5f62\u5f0f\u3068\u306a\u308a\u307e\u3059\u3002 \u3053\u306e\u3088 [&hellip;]","og_url":"https:\/\/blog.generative-agents.co.jp\/entry\/2025\/10\/25\/092245","og_site_name":"\u30dd\u30b1\u30b3\u30f3","article_published_time":"2025-10-25T01:53:42+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/pokecon.jp\/job\/wp-content\/uploads\/2025\/10\/1761351766.png","type":"image\/png"}],"author":"info@pokecon.jp","twitter_card":"summary_large_image","twitter_misc":{"\u57f7\u7b46\u8005":"info@pokecon.jp","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"2\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/blog.generative-agents.co.jp\/entry\/2025\/10\/25\/092245#article","isPartOf":{"@id":"https:\/\/pokecon.jp\/job\/18666\/"},"author":{"name":"info@pokecon.jp","@id":"https:\/\/pokecon.jp\/job\/#\/schema\/person\/16c9f07b1ba984d165d9aee259bda997"},"headline":"OpenAI\u306eStructured 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