Latest version
Generate text
Sends an AI request to supported Large Language Models (LLMs) and returns generated text based on the provided prompt.
Request
bearer [ACCESS_TOKEN]
application/json
Request Body
AI agent for text generation requests objectin body
The AI agent used for generating text.
object arrayin bodyoptional
The history of prompts and answers previously passed to the LLM. This parameter provides the additional context to the LLM when generating the response.
stringin bodyoptional
"Here is the first draft of your professional email about public APIs."The answer previously provided by the LLM.
string (date-time)in bodyoptional
"2012-12-12T10:53:43-08:00"The ISO date formatted timestamp of when the previous answer to the prompt was created.
stringin bodyoptional
"Make my email about public APIs sound more professional."The prompt previously provided by the client and answered by the LLM.
object arrayin bodyrequired
The items to be processed by the LLM, often files. The array can include exactly one element.
Note: Box AI handles documents with text representations up to 1MB in size. If the file size exceeds 1MB, the first 1MB of text representation will be processed.
stringin bodyrequired
"123"The ID of the item.
stringin bodyrequired
"file"The type of the item.
Value is always file
stringin bodyoptional
"This is file content that is relevant to the text gen request."The content to use as context for generating new text or editing existing text.
stringin bodyrequired
"Write an email to a client about the importance of public APIs."The prompt provided by the client to be answered by the LLM. The prompt's length is limited to 10000 characters.
Response
application/jsonAI response
A successful response including the answer from the LLM.
application/jsonClient error
An unexpected server error.
application/jsonClient error
An unexpected error.
Request Example
cURL
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": "azure__openai__gpt_4o_mini"
}
}
}'TypeScript Gen
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,
],
} satisfies AiTextGen);Python Gen
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,
).NET Gen
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") }}) });Swift Gen (Beta)
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"))]))Java
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
);Python
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).NET
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") }
}
};
);Node
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"
} */
});Response Example
{
"ai_agent_info": {
"models": [
{
"name": "azure__openai__text_embedding_ada_002",
"provider": "azure",
"supported_purpose": "embedding"
}
]
},
"answer": "Public APIs are important because of key and important reasons.",
"completion_reason": "done",
"created_at": "2012-12-12T10:53:43-08:00"
}