import * as z from "zod/v4"; import { OpenEnum } from "../../types/enums.js"; import { Result as SafeParseResult } from "../../types/fp.js"; import { SDKValidationError } from "../errors/sdkvalidationerror.js"; import { ClassifierTrainingParameters } from "./classifiertrainingparameters.js"; import { JobMetadata } from "./jobmetadata.js"; import { WandbIntegrationResult } from "./wandbintegrationresult.js"; /** * The current status of the fine-tuning job. */ export declare const ClassifierFineTuningJobStatus: { readonly Queued: "QUEUED"; readonly Started: "STARTED"; readonly Validating: "VALIDATING"; readonly Validated: "VALIDATED"; readonly Running: "RUNNING"; readonly FailedValidation: "FAILED_VALIDATION"; readonly Failed: "FAILED"; readonly Success: "SUCCESS"; readonly Cancelled: "CANCELLED"; readonly CancellationRequested: "CANCELLATION_REQUESTED"; }; /** * The current status of the fine-tuning job. */ export type ClassifierFineTuningJobStatus = OpenEnum; export type ClassifierFineTuningJobIntegration = WandbIntegrationResult; export type ClassifierFineTuningJob = { /** * The ID of the job. */ id: string; autoStart: boolean; model: string; /** * The current status of the fine-tuning job. */ status: ClassifierFineTuningJobStatus; /** * The UNIX timestamp (in seconds) for when the fine-tuning job was created. */ createdAt: number; /** * The UNIX timestamp (in seconds) for when the fine-tuning job was last modified. */ modifiedAt: number; /** * A list containing the IDs of uploaded files that contain training data. */ trainingFiles: Array; /** * A list containing the IDs of uploaded files that contain validation data. */ validationFiles?: Array | null | undefined; /** * The object type of the fine-tuning job. */ object: "job"; /** * The name of the fine-tuned model that is being created. The value will be `null` if the fine-tuning job is still running. */ fineTunedModel?: string | null | undefined; /** * Optional text/code that adds more context for the model. When given a `prompt` and a `suffix` the model will fill what is between them. When `suffix` is not provided, the model will simply execute completion starting with `prompt`. */ suffix?: string | null | undefined; /** * A list of integrations enabled for your fine-tuning job. */ integrations?: Array | null | undefined; /** * Total number of tokens trained. */ trainedTokens?: number | null | undefined; metadata?: JobMetadata | null | undefined; /** * The type of job (`FT` for fine-tuning). */ jobType: "classifier"; hyperparameters: ClassifierTrainingParameters; }; /** @internal */ export declare const ClassifierFineTuningJobStatus$inboundSchema: z.ZodType; /** @internal */ export declare const ClassifierFineTuningJobIntegration$inboundSchema: z.ZodType; export declare function classifierFineTuningJobIntegrationFromJSON(jsonString: string): SafeParseResult; /** @internal */ export declare const ClassifierFineTuningJob$inboundSchema: z.ZodType; export declare function classifierFineTuningJobFromJSON(jsonString: string): SafeParseResult; //# sourceMappingURL=classifierfinetuningjob.d.ts.map