Leon Serfaty
41 lines
1.5 KiB
TypeScript
41 lines
1.5 KiB
TypeScript
import { openai } from "./openai";
|
|
|
|
const MODERATION_MODEL = process.env.OPENAI_MODERATION_MODEL ?? "omni-moderation-latest";
|
|
|
|
export interface ModerationResult {
|
|
flagged: boolean;
|
|
/** OpenAI category keys that tripped, e.g. ["hate", "violence"]. */
|
|
categories: string[];
|
|
}
|
|
|
|
/**
|
|
* Screen text with OpenAI's moderation endpoint.
|
|
*
|
|
* Fails OPEN: if the moderation call errors (outage, quota), we log and return
|
|
* `flagged: false` so a moderation hiccup never blocks the product. The result
|
|
* is advisory — callers decide whether to reject input or flag generated output.
|
|
*/
|
|
export async function moderateText(input: string): Promise<ModerationResult> {
|
|
const text = input.trim();
|
|
if (!text) return { flagged: false, categories: [] };
|
|
|
|
try {
|
|
const res = await openai().moderations.create({ model: MODERATION_MODEL, input: text });
|
|
const result = res.results[0];
|
|
if (!result) return { flagged: false, categories: [] };
|
|
const categories = Object.entries(result.categories)
|
|
.filter(([, tripped]) => tripped)
|
|
.map(([key]) => key);
|
|
return { flagged: result.flagged, categories };
|
|
} catch (err) {
|
|
console.error("[moderation] check failed — failing open", err);
|
|
return { flagged: false, categories: [] };
|
|
}
|
|
}
|
|
|
|
/** Short human-readable reason for a content flag from a moderation result. */
|
|
export function moderationReason(result: ModerationResult): string {
|
|
const cats = result.categories.length ? result.categories.join(", ") : "policy violation";
|
|
return `Automated moderation flagged: ${cats}`;
|
|
}
|