/**
 * January AI - Nutrition Intelligence APIs
 * Build food and metabolic intelligence into your product — one API for understanding what people eat and how food may affect them.  **Clinical-grade precision, consumer-grade experiences.** January builds the infrastructure underneath the product: turning messy health and nutrition data into reliable intelligence, so your team spends its time on the experience instead of the foundation.  **Security & compliance** — **SOC 2 Type II** · **HIPAA-aligned practices** · **BAA** and **Zero Data Retention (ZDR)** available  **What you can build** - **Scan food** — photo and text food recognition: detect foods and nutrition, then correct results conversationally - **Search the food database** — by name or barcode — and get healthier alternatives for any food - **Log food, water and weight** — per-user diaries with day-range queries - **Predict glucose response** to any meal — no sensor required  **Getting started** 1. Create an API key in the [Developer Dashboard](https://dashboard.january.ai) — the full key is shown once, at creation. 2. Send it as `Authorization: Bearer sk-…` — click **Authorize** here to make every example below a live request. 3. On the endpoints that read or write an end user\'s logs, say whose with the `January-End-User-ID` header — each one documents it. No other endpoint takes it: everything else either asks the shared food database a question or works on the body you send, and neither depends on who the food is for.  **Calling from a mobile app** — your `sk-` key must never ship inside an app. Instead, exchange it on your backend for a *client token*: a credential that lasts up to two hours, acts as exactly one of your end users, and carries only the scopes you grant it (see the **authentication** section). Your app then calls these endpoints directly, with no proxy of your own in the request path. Both credentials travel in the same `Authorization: Bearer` header, and every endpoint below opens by saying which it accepts — **API key or client token**, or **API key only**.  **Support** — [support@january.ai](mailto:support@january.ai) · [Discord community](https://discord.gg/cYQeh3UnC) · [docs.january.ai](https://docs.january.ai)
 *
 * The version of the OpenAPI document: 1.2
 * Contact: support@january.ai
 *
 * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
 * https://openapi-generator.tech
 * Do not edit the class manually.
 */
import type { ConsumedHistoricalFood } from './ConsumedHistoricalFood.js';
import type { FoodLogInputFood } from './FoodLogInputFood.js';
import type { GlucosePredictionProfile } from './GlucosePredictionProfile.js';
import type { CgmReading } from './CgmReading.js';
/**
 *
 * @export
 * @interface PredictGlucoseBody
 */
export interface PredictGlucoseBody {
    /**
     *
     * @type {GlucosePredictionProfile}
     * @memberof PredictGlucoseBody
     */
    userProfile: GlucosePredictionProfile;
    /**
     * The IANA timezone the end user is in. The prediction depends on the meal's local time of day.
     * @type {string}
     * @memberof PredictGlucoseBody
     */
    timezone: string;
    /**
     * The meal to predict the glucose response for.
     * @type {Array<FoodLogInputFood>}
     * @memberof PredictGlucoseBody
     */
    foods: Array<FoodLogInputFood>;
    /**
     * When the meal is (or will be) eaten. Must carry a timezone designator.
     * @type {Date}
     * @memberof PredictGlucoseBody
     */
    startTime: Date;
    /**
     * Optional CGM history, to personalize the prediction to this end user. Send it together with `consumed_foods` covering the same period — **at least 5 complete days of paired history**, which is what the model needs to train on them. Fewer is refused with `invalid_request`. Omit both fields for a standard prediction, which needs no sensor and no history.
     * @type {Array<CgmReading>}
     * @memberof PredictGlucoseBody
     */
    cgmData?: Array<CgmReading>;
    /**
     * The meals eaten during the CGM history; requires cgm_data.
     * @type {Array<ConsumedHistoricalFood>}
     * @memberof PredictGlucoseBody
     */
    consumedFoods?: Array<ConsumedHistoricalFood>;
}
/**
 * Check if a given object implements the PredictGlucoseBody interface.
 */
export declare function instanceOfPredictGlucoseBody(value: object): value is PredictGlucoseBody;
export declare function PredictGlucoseBodyFromJSON(json: any): PredictGlucoseBody;
export declare function PredictGlucoseBodyFromJSONTyped(json: any, ignoreDiscriminator: boolean): PredictGlucoseBody;
export declare function PredictGlucoseBodyToJSON(json: any): PredictGlucoseBody;
export declare function PredictGlucoseBodyToJSONTyped(value?: PredictGlucoseBody | null, ignoreDiscriminator?: boolean): any;
//# sourceMappingURL=PredictGlucoseBody.d.ts.map