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Extract metadata (freeform)

by
Published Oct 17, 2025

Sends an AI request to supported Large Language Models (LLMs) and extracts metadata in form of key-value pairs. In this request, both the prompt and the output can be freeform. Metadata template setup before sending the request is not required.

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The script

Submitted by hugo697 Bun
Verified 235 days ago
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//native
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type Box = {
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  token: string;
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};
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/**
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 * Extract metadata (freeform)
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 * Sends an AI request to supported Large Language Models (LLMs) and extracts metadata in form of key-value pairs.
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In this request, both the prompt and the output can be freeform.
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Metadata template setup before sending the request is not required.
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 */
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export async function main(
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  auth: Box,
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  body: {
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    prompt: string;
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    items: { id: string; type: "file"; content?: string }[];
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    ai_agent?: {
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      type: "ai_agent_extract";
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      long_text?: {
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        model?: string;
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        num_tokens_for_completion?: number;
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        llm_endpoint_params?:
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          | {
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              type: "openai_params";
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              temperature?: number;
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              top_p?: number;
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              frequency_penalty?: number;
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              presence_penalty?: number;
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              stop?: string;
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            }
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          | {
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              type: "google_params";
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              temperature?: number;
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              top_p?: number;
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              top_k?: number;
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            }
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          | { type: "aws_params"; temperature?: number; top_p?: number };
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      } & { system_message?: string; prompt_template?: string } & {
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        embeddings?: {
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          model?: string;
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          strategy?: { id?: string; num_tokens_per_chunk?: number };
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        };
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      };
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      basic_text?: {
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        model?: string;
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        num_tokens_for_completion?: number;
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        llm_endpoint_params?:
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          | {
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              type: "openai_params";
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              temperature?: number;
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              top_p?: number;
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              frequency_penalty?: number;
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              presence_penalty?: number;
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              stop?: string;
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            }
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          | {
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              type: "google_params";
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              temperature?: number;
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              top_p?: number;
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              top_k?: number;
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            }
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          | { type: "aws_params"; temperature?: number; top_p?: number };
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      } & { system_message?: string; prompt_template?: string };
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    };
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  },
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) {
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  const url = new URL(`https://api.box.com/2.0/ai/extract`);
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  const response = await fetch(url, {
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    method: "POST",
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    headers: {
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      "Content-Type": "application/json",
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      Authorization: "Bearer " + auth.token,
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    },
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    body: JSON.stringify(body),
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  });
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  if (!response.ok) {
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    const text = await response.text();
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    throw new Error(`${response.status} ${text}`);
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  }
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  return await response.json();
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}
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