Ask questions to Box AI
Ask questions to Box AI
Box AI API allows you to ask a question about a supplied file or a set of files, and get a response based on the content. For example, while viewing a document in Box, you can ask Box AI to summarize the content.
Send a request
To send a request containing your question,
use the POST /2.0/ai/ask endpoint and
provide the mandatory parameters.
cURL
curl -i -L POST "https://api.box.com/2.0/ai/ask" \
-H "content-type: application/json" \
-H "authorization: Bearer <ACCESS_TOKEN>" \
-d '{
"mode": "single_item_qa",
"prompt": "What is the value provided by public APIs based on this document?",
"items": [
{
"type": "file",
"id": "9842787262"
}
],
"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"
}
],
"include_citations": true,
"ai_agent": {
"type": "ai_agent_ask",
"long_text": {
"model": "azure__openai__gpt_3_5_turbo_16k",
"system_message": "You are a helpful travel assistant specialized in budget travel",
"prompt_template": "It is `{current_date}`, and I have $8000 and want to spend a week in the Azores. What should I see?",
"num_tokens_for_completion": 8400,
"llm_endpoint_params": {
"type": "openai_params",
"temperature": 0.0,
"top_p": 1.0,
"frequency_penalty": 1.5,
"presence_penalty": 1.5,
"stop": "<|im_end|>"
},
"embeddings": {
"model": "openai__text_embedding_ada_002",
"strategy": {
"id": "basic",
"num_tokens_per_chunk": 8400
}
}
},
"basic_text": {
"model": ""azure__openai__gpt_3_5_turbo_16k"",
"system_message": "You are a helpful travel assistant specialized in budget travel",
"prompt_template": "It is `{current_date}`, and I have $8000 and want to spend a week in the Azores. What should I see?",
"num_tokens_for_completion": 8400,
"llm_endpoint_params": {
"type": "openai_params",
"temperature": 0.0,
"top_p": 1.0,
"frequency_penalty": 1.5,
"presence_penalty": 1.5,
"stop": "<|im_end|>"
}
},
"long_text_multi": {
"model": "azure__openai__gpt_3_5_turbo_16k",
"system_message": "You are a helpful travel assistant specialized in budget travel",
"prompt_template": "It is `{current_date}`, and I have $8000 and want to spend a week in the Azores. What should I see?",
"num_tokens_for_completion": 8400,
"llm_endpoint_params": {
"type": "openai_params",
"temperature": 0.0,
"top_p": 1.0,
"frequency_penalty": 1.5,
"presence_penalty": 1.5,
"stop": "<|im_end|>"
},
"embeddings": {
"model": "openai__text_embedding_ada_002",
"strategy": {
"id": "basic",
"num_tokens_per_chunk": 8400
}
}
},
"basic_text_multi": {
"model": ""azure__openai__gpt_3_5_turbo_16k"",
"system_message": "You are a helpful travel assistant specialized in budget travel",
"prompt_template": "It is `{current_date}`, and I have $8000 and want to spend a week in the Azores. What should I see?",
"num_tokens_for_completion": 8400,
"llm_endpoint_params": {
"type": "openai_params",
"temperature": 0.0,
"top_p": 1.0,
"frequency_penalty": 1.5,
"presence_penalty": 1.5,
"stop": "<|im_end|>"
}
}
}'TypeScript Gen
await client.ai.createAiAsk({
mode: 'multiple_item_qa' as AiAskModeField,
prompt: 'Which direction sun rises?',
items: [
new AiItemBase({
id: fileToAsk1.id,
type: 'file' as AiItemBaseTypeField,
content: 'Earth goes around the sun',
}),
new AiItemBase({
id: fileToAsk2.id,
type: 'file' as AiItemBaseTypeField,
content: 'Sun rises in the East in the morning',
}),
],
} satisfies AiAsk);Python Gen
client.ai.create_ai_ask(
CreateAiAskMode.MULTIPLE_ITEM_QA.value,
"Which direction sun rises?",
[
AiItemBase(
id=file_to_ask_1.id,
type=AiItemBaseTypeField.FILE.value,
content="Earth goes around the sun",
),
AiItemBase(
id=file_to_ask_2.id,
type=AiItemBaseTypeField.FILE.value,
content="Sun rises in the East in the morning",
),
],
).NET Gen
await client.Ai.CreateAiAskAsync(requestBody: new AiAsk(mode: AiAskModeField.MultipleItemQa, prompt: "Which direction sun rises?", items: Array.AsReadOnly(new [] {new AiItemBase(id: fileToAsk1.Id, type: AiItemBaseTypeField.File) { Content = "Earth goes around the sun" },new AiItemBase(id: fileToAsk2.Id, type: AiItemBaseTypeField.File) { Content = "Sun rises in the East in the morning" }})));Swift Gen (Beta)
try await client.ai.createAiAsk(requestBody: AiAsk(mode: AiAskModeField.multipleItemQa, prompt: "Which direction sun rises?", items: [AiItemBase(id: fileToAsk1.id, type: AiItemBaseTypeField.file, content: "Earth goes around the sun"), AiItemBase(id: fileToAsk2.id, type: AiItemBaseTypeField.file, content: "Sun rises in the East in the morning")]))Java
BoxAIResponse response = BoxAI.sendAIRequest(
api,
"What is the content of the file?",
Collections.singletonList("123456", BoxAIItem.Type.FILE),
BoxAI.Mode.SINGLE_ITEM_QA
);Python
items = [{
"id": "1582915952443",
"type": "file",
"content": "More information about public APIs"
}]
ai_agent = {
'type': 'ai_agent_ask',
'basic_text_multi': {
'model': 'openai__gpt_3_5_turbo'
}
}
answer = client.send_ai_question(
items=items,
prompt="What is this file?",
mode="single_item_qa",
ai_agent=ai_agent
)
print(answer).NET
BoxAIResponse response = await client.BoxAIManager.SendAIQuestionAsync(
new BoxAIAskRequest
{
Prompt = "What is the name of the file?",
Items = new List<BoxAIAskItem>() { new BoxAIAskItem() { Id = "12345" } },
Mode = AiAskMode.single_item_qa
};
);Node
client.ai.ask(
{
prompt: 'What is the capital of France?',
items: [
{
type: 'file',
id: '12345'
}
],
mode: 'single_item_qa'
})
.then(response => {
/* response -> {
"answer": "Paris",
"created_at": "2021-10-01T00:00:00Z",
"completion_reason": "done"
} */
});Authentication
Make sure you have generated the developer token to authorize your app. See prerequisites for using Box AI for details.
Parameters
To make a call, you need to pass the following parameters. Mandatory parameters are in bold.
| Parameter | Description | Available values | Example |
|---|---|---|---|
mode | The type of request. It can be a question about a single file or a set of files. For a single file, Box AI API supports up to 1MB of text representation. If the file size exceeds 1MB, the first 1MB of text representation will be processed. If you want to list multiple files, the limit is 25 files. If you set mode to single_item_qa, the items array can list only one element. | single_item_qa, multiple_item_qa | single_item_qa |
prompt | The question about your document or content. The prompt's length cannot exceed 10000 characters. | What is this document about? | |
dialogue_history.prompt | The prompt previously provided by the client and answered by the Large Language Model (LLM). | Make my email about public APIs sound more professional | |
dialogue_history.answer | The answer previously provided by the LLM. | Here is a draft of your professional email about public APIs. | |
dialogue_history.created_at | The ISO date formatted timestamp of when the previous answer to the prompt was created. | 2012-12-12T10:53:43-08:00 | |
include_citations | Specifies if the citations should be returned in the answer. | true, false | true |
items.id | The Box file ID you want to provide as input. | 112233445566 | |
items.type | The type of the provided input. Currently, it can be a single file or multiple files. | file | file |
items.content | The content of the item, often the text representation. | An application programming interface (API) is a way for two or more computer programs or components to communicate with each other. It is a type of software interface... | |
ai_agent | The AI agent used to override the default agent configuration. You can use this parameter replace the default LLM with a custom one using the model parameter for shorter and longer texts, tweak the base prompt to allow for a more customized user experience, or change an LLM parameter, such as temperature, to make the results more or less creative. Before you use the ai_agent parameter, you can get the default configuration using the GET 2.0/ai_agent_default request. |