Box AIを使用してテキストを生成する

Box AI APIは、Business以上をご利用のすべてのお客様が利用できます。

Box AIを使用すると、提供されたコンテンツに基づいてテキストを生成できます。たとえば、Box Notesで参照または作成したコンテンツに基づいてテンプレートを生成するようBox AIに求めることができます。その後、生成されたテキストを直接ドキュメントに埋め込むことができます。

開始する前に

Platformアプリを作成して認証するには、に記載されている手順に従っていることを確認してください。

リクエストの送信

リクエストを送信するには、POST /2.0/ai/text_genエンドポイントを使用します。

curl -i -L POST "https://api.box.com/2.0/ai/text_gen" \
     -H "content-type: application/json" \
     -H "authorization: Bearer <ACCESS_TOKEN>" \
     -d '{
          "prompt": "Write a social media post about protein powder.",
          "items": [
         {
            "id": "12345678",
            "type": "file",
            "content": "More information about protein powders"
        },
        ],
          "dialogue_history": [
            {
                "prompt": "Can you add some more information?",
                "answer": "Public API schemas provide necessary information to integrate with APIs...",
                "created_at": "2013-12-12T11:20:43-08:00"
            }
        ],
          "ai_agent": {
            "type": "ai_agent_text_gen",
            "basic_gen": {
              "model": "openai__gpt_5_mini"
            }
         }
     }'

await client.ai.createAiTextGen({
  prompt: 'Parapharse the document.s',
  items: [
    new AiTextGenItemsField({
      id: fileToAsk.id,
      type: 'file' as AiTextGenItemsTypeField,
      content:
        'The Earth goes around the sun. Sun rises in the East in the morning.',
    }),
  ],
  dialogueHistory: [
    {
      prompt: 'What does the earth go around?',
      answer: 'The sun',
      createdAt: dateTimeFromString('2021-01-01T00:00:00Z'),
    } satisfies AiDialogueHistory,
    {
      prompt: 'On Earth, where does the sun rise?',
      answer: 'East',
      createdAt: dateTimeFromString('2021-01-01T00:00:00Z'),
    } satisfies AiDialogueHistory,
  ],
  aiAgent: aiTextGenAgentConfig,
} satisfies AiTextGen);

client.ai.create_ai_text_gen(
    "Parapharse the document.s",
    [
        CreateAiTextGenItems(
            id=file_to_ask.id,
            type=CreateAiTextGenItemsTypeField.FILE,
            content="The Earth goes around the sun. Sun rises in the East in the morning.",
        )
    ],
    dialogue_history=[
        AiDialogueHistory(
            prompt="What does the earth go around?",
            answer="The sun",
            created_at=date_time_from_string("2021-01-01T00:00:00Z"),
        ),
        AiDialogueHistory(
            prompt="On Earth, where does the sun rise?",
            answer="East",
            created_at=date_time_from_string("2021-01-01T00:00:00Z"),
        ),
    ],
    ai_agent=ai_text_gen_agent_config,
)

await client.Ai.CreateAiTextGenAsync(requestBody: new AiTextGen(prompt: "Parapharse the document.s", items: Array.AsReadOnly(new [] {new AiTextGenItemsField(id: fileToAsk.Id, type: AiTextGenItemsTypeField.File) { Content = "The Earth goes around the sun. Sun rises in the East in the morning." }})) { DialogueHistory = Array.AsReadOnly(new [] {new AiDialogueHistory() { Prompt = "What does the earth go around?", Answer = "The sun", CreatedAt = Utils.DateTimeFromString(dateTime: "2021-01-01T00:00:00Z") },new AiDialogueHistory() { Prompt = "On Earth, where does the sun rise?", Answer = "East", CreatedAt = Utils.DateTimeFromString(dateTime: "2021-01-01T00:00:00Z") }}) });

try await client.ai.createAiTextGen(requestBody: AiTextGen(prompt: "Parapharse the document.s", items: [AiTextGenItemsField(id: fileToAsk.id, type: AiTextGenItemsTypeField.file, content: "The Earth goes around the sun. Sun rises in the East in the morning.")], dialogueHistory: [AiDialogueHistory(prompt: "What does the earth go around?", answer: "The sun", createdAt: try Utils.Dates.dateTimeFromString(dateTime: "2021-01-01T00:00:00Z")), AiDialogueHistory(prompt: "On Earth, where does the sun rise?", answer: "East", createdAt: try Utils.Dates.dateTimeFromString(dateTime: "2021-01-01T00:00:00Z"))]))

client.getAi().createAiTextGen(new AiTextGen.Builder("Parapharse the document.s", Arrays.asList(new AiTextGenItemsField.Builder(fileToAsk.getId()).type(AiTextGenItemsTypeField.FILE).content("The Earth goes around the sun. Sun rises in the East in the morning.").build())).dialogueHistory(Arrays.asList(new AiDialogueHistory.Builder().prompt("What does the earth go around?").answer("The sun").createdAt(dateTimeFromString("2021-01-01T00:00:00Z")).build(), new AiDialogueHistory.Builder().prompt("On Earth, where does the sun rise?").answer("East").createdAt(dateTimeFromString("2021-01-01T00:00:00Z")).build())).aiAgent(aiTextGenAgentConfig).build())

List<BoxAIDialogueEntry> dialogueHistory = new ArrayList<>();
dialogueHistory.add(
        new BoxAIDialogueEntry(
            "Make my email about public APIs sound more professional",
            "Here is the first draft of your professional email about public APIs.",
            BoxDateFormat.parse("2013-05-16T15:26:57-07:00")
        )
    );
BoxAIResponse response = BoxAI.sendAITextGenRequest(
    api,
    "Write an email to a client about the importance of public APIs.",
    Collections.singletonList(new BoxAIItem("123456", BoxAIItem.Type.FILE)),
    dialogueHistory
);

items = [{
    "id": "1582915952443",
    "type": "file",
    "content": "More information about public APIs"
}]
dialogue_history = [{
        "prompt": "Make my email about public APIs sound more professional",
        "answer": "Here is the first draft of your professional email about public APIs",
        "created_at": "2013-12-12T10:53:43-08:00"
    },
    {
        "prompt": "Can you add some more information?",
        "answer": "Public API schemas provide necessary information to integrate with APIs...",
        "created_at": "2013-12-12T11:20:43-08:00"
}]
ai_agent = {
    'type': 'ai_agent_text_gen',
    'basic_gen': {
        'model': 'openai__gpt_3_5_turbo_16k'
    }
}
answer = client.send_ai_text_gen(
    dialogue_history=dialogue_history,
    items=items,
    prompt="Write an email to a client about the importance of public APIs.",
    ai_agent=ai_agent
)
print(answer)

BoxAIResponse response = await client.BoxAIManager.SendAITextGenRequestAsync(
    new BoxAITextGenRequest
    {
        Prompt = "What is the name of the file?",
        Items = new List<BoxAITextGenItem>() { new BoxAITextGenItem() { Id = "12345" } },
        DialogueHistory = new List<BoxAIDialogueHistory>()
        {
            new BoxAIDialogueHistory() { Prompt = "What is the name of the file?", Answer = "MyFile", CreatedAt = DateTimeOffset.Parse("2024-05-16T15:26:57-07:00") }
            new BoxAIDialogueHistory() { Prompt = "What is the size of the file?", Answer = "10kb", CreatedAt =  DateTimeOffset.Parse("2024-05-16T15:26:57-07:00") }
        }
    };
);

client.ai.textGen(
    {
        prompt: 'What is the capital of France?',
        items: [
            {
                type: 'file',
                id: '12345'
            }
        ],
        dialogue_history: [
            {
                prompt: 'What is the capital of France?',
                answer: 'Paris',
                created_at: '2021-10-01T00:00:00Z'
            },
            {
                prompt: 'What is the capital of Germany?',
                answer: 'Berlin',
                created_at: '2021-10-01T00:00:00Z'
            }
        ]
    })
    .then(response => {
        /* response -> {
            "answer": "The capital of France is Paris.",
            "created_at": "2021-10-01T00:00:00Z",
            "completion_reason": "done"
        } */
    });

パラメータ

コールを実行するには、以下のパラメータを渡す必要があります。必須のパラメータは太字で示されています。 items配列には要素が1つだけ含まれている必要があります。プロンプトとファイルの制限の詳細については、を参照してください。

パラメータ	説明	例
`prompt`	Box AIに対するテキストの生成またはリファインのリクエスト。最大10,000文字。	週1回の営業会議のアジェンダを作成してください。
`items.id`	ドキュメントのBoxファイルID。	`1233039227512`
`items.type`	指定した入力データのタイプ。	`file`
`items.content`	項目のコンテンツ (多くの場合はテキストレプリゼンテーション)。	`This article is about Box AI`.
`dialogue_history.prompt`	以前にクライアントによって提供され、大規模言語モデル (LLM) が回答したプロンプト。	`Make my email about public APIs sound more professional`
`dialogue_history.answer`	以前にLLMから提供された回答。	`Here is a draft of your professional email about public APIs.`
`dialogue_history.created_at`	プロンプトに対する前回の回答が作成された時点のISO日付形式のタイムスタンプ。	`2012-12-12T10:53:43-08:00`
`ai_agent`	デフォルトのモデル構成を上書きします。これにより、モデル、プロンプトテンプレート、システムメッセージ、またはLLMパラメータを変更できます。仕組みについてはを参照してください。また、使用例についてはを参照してください。

ユースケース

指定されたファイルコンテンツとプロンプトに基づいてテキストを生成します。

curl -i -L POST "https://api.box.com/2.0/ai/text_gen" \
     -H "content-type: application/json" \
     -H "authorization: Bearer <ACCESS_TOKEN>" \
     -d '{
    "items": [
        {
            "id": "12345678",
            "type": "file"
        }
    ],
    "prompt": "Create a short blog post that provides information on Box AI for Documents and focuses on best practices for asking questions. You can add emoticons, but not too many."
}'

結果は次のようになります。

{
    "answer": "📝 **Box AI for Documents: Best Practices for Asking Questions** 🤔\n\n---\n\nWelcome to our blog post on Box AI for Documents! 🎉 Today, we're going to dive into some best practices when it comes to asking questions within this innovative platform.\n\n1. **Be Clear and Concise**: When formulating a question in Box Notes, make sure your query is clear and to the point. This helps Box AI understand exactly what you're looking for.\n\n2. **Provide Context**: Giving context around your question can significantly improve the accuracy of the response generated by Box AI. Include relevant details or background information.\n\n3. **Use Keywords**: Utilize keywords related to your query within the question itself. This can help Box AI better identify the main topic of your inquiry.\n\n4. **Avoid Ambiguity**: Try to avoid vague or ambiguous questions that could lead to misunderstandings. The more precise you are, the better Box AI can assist you.\n\n5. **Review Suggestions Carefully**: After receiving suggestions from Box AI, take the time to review them carefully before incorporating them into your document. Ensure they align with your intended message.\n\nBy following these best practices, you can maximize the effectiveness of Box AI for Documents and streamline your workflow like never before! 💼✨\n\nStay tuned for more tips and tricks on leveraging technology for enhanced productivity! 👩‍💻🚀",
    "created_at": "2024-11-04T02:46:23.459-08:00",
    "completion_reason": "done"
}

​開始する前に

​リクエストの送信

​パラメータ

​ユースケース

開始する前に

リクエストの送信

パラメータ

ユースケース