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import type { ZTagStyle } from "./types/users";
import { getCuratedTagsPrompt, getTagStylePrompt } from "./utils/tag";
/**
* Remove duplicate whitespaces to avoid tokenization issues
*/
function preprocessContent(content: string) {
return content.replace(/(\s){10,}/g, "$1");
}
export function buildImagePrompt(
lang: string,
customPrompts: string[],
tagStyle: ZTagStyle,
curatedTags?: string[],
) {
const tagStyleInstruction = getTagStylePrompt(tagStyle);
const curatedInstruction = getCuratedTagsPrompt(curatedTags);
return `
You are an expert whose responsibility is to help with automatic text tagging for a read-it-later/bookmarking app.
Analyze the attached image and suggest relevant tags that describe its key themes, topics, and main ideas. The rules are:
- Aim for a variety of tags, including broad categories, specific keywords, and potential sub-genres.
- The tags must be in ${lang}.
- If the tag is not generic enough, don't include it.
- Aim for 10-15 tags.
- If there are no good tags, don't emit any.
${curatedInstruction}
${tagStyleInstruction}
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
You must respond in valid JSON with the key "tags" and the value is list of tags. Don't wrap the response in a markdown code.`;
}
/**
* Construct tagging prompt for text content
*/
export function constructTextTaggingPrompt(
lang: string,
customPrompts: string[],
content: string,
tagStyle: ZTagStyle,
curatedTags?: string[],
): string {
const tagStyleInstruction = getTagStylePrompt(tagStyle);
const curatedInstruction = getCuratedTagsPrompt(curatedTags);
return `
You are an expert whose responsibility is to help with automatic tagging for a read-it-later/bookmarking app.
Analyze the TEXT_CONTENT below and suggest relevant tags that describe its key themes, topics, and main ideas. The rules are:
- Aim for a variety of tags, including broad categories, specific keywords, and potential sub-genres.
- The tags must be in ${lang}.
- If the tag is not generic enough, don't include it.
- Do NOT generate tags related to:
- An error page (404, 403, blocked, not found, dns errors)
- Boilerplate content (cookie consent, login walls, GDPR notices)
- Aim for 3-5 tags.
- If there are no good tags, leave the array empty.
${curatedInstruction}
${tagStyleInstruction}
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
<TEXT_CONTENT>
${content}
</TEXT_CONTENT>
You must respond in JSON with the key "tags" and the value is an array of string tags.`;
}
/**
* Construct summary prompt
*/
export function constructSummaryPrompt(
lang: string,
customPrompts: string[],
content: string,
): string {
return `
Summarize the following content responding ONLY with the summary. You MUST follow the following rules:
- Summary must be in 3-4 sentences.
- The summary must be in ${lang}.
${customPrompts && customPrompts.map((p) => `- ${p}`).join("\n")}
${content}`;
}
/**
* Build text tagging prompt without truncation (for previews/UI)
*/
export function buildTextPromptUntruncated(
lang: string,
customPrompts: string[],
content: string,
tagStyle: ZTagStyle,
curatedTags?: string[],
): string {
return constructTextTaggingPrompt(
lang,
customPrompts,
preprocessContent(content),
tagStyle,
curatedTags,
);
}
/**
* Build summary prompt without truncation (for previews/UI)
*/
export function buildSummaryPromptUntruncated(
lang: string,
customPrompts: string[],
content: string,
): string {
return constructSummaryPrompt(
lang,
customPrompts,
preprocessContent(content),
);
}
/**
* Build OCR prompt for extracting text from images using LLM
*/
export function buildOCRPrompt(): string {
return `You are an OCR (Optical Character Recognition) expert. Your task is to extract ALL text from this image.
Rules:
- Extract every piece of text visible in the image, including titles, body text, captions, labels, watermarks, and any other textual content.
- Preserve the original structure and formatting as much as possible (e.g., paragraphs, lists, headings).
- If text appears in multiple columns, read from left to right, top to bottom.
- If text is partially obscured or unclear, make your best attempt and indicate uncertainty with [unclear] if needed.
- Do not add any commentary, explanations, or descriptions of non-text elements.
- If there is no text in the image, respond with an empty string.
- Output ONLY the extracted text, nothing else.`;
}
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