import {z} from 'zod' export type UpdateModelRequest = {name?: (string | null) | undefined, description?: (string | null) | undefined}; export type PatchApiV1FineTuningModelsModelIdArgs = {model_id: string, body: UpdateModelRequest}; export type PatchApiV1FineTuningModelsModelIdOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined}; export const fineTunedModelCapabilities = z.object({completion_chat: z.boolean().optional(), completion_fim: z.boolean().optional(), function_calling: z.boolean().optional(), fine_tuning: z.boolean().optional(), classification: z.boolean().optional()}); export const completionFineTunedModel = z.object({id: z.string(), object: z.literal("model").optional(), created: z.number().int(), owned_by: z.string(), workspace_id: z.string(), root: z.string(), root_version: z.string(), archived: z.boolean(), name: z.string().nullable().optional(), description: z.string().nullable().optional(), capabilities: fineTunedModelCapabilities, max_context_length: z.number().int().optional(), aliases: z.array(z.string()).optional(), job: z.string().nullable().optional(), model_type: z.literal("completion").optional()}); export const fTClassifierLossFunction = z.enum(["single_class", "multi_class"]); export const classifierTargetResult = z.object({name: z.string(), labels: z.array(z.string()), weight: z.number(), loss_function: fTClassifierLossFunction}); export const classifierFineTunedModel = z.object({id: z.string(), object: z.literal("model").optional(), created: z.number().int(), owned_by: z.string(), workspace_id: z.string(), root: z.string(), root_version: z.string(), archived: z.boolean(), name: z.string().nullable().optional(), description: z.string().nullable().optional(), capabilities: fineTunedModelCapabilities, max_context_length: z.number().int().optional(), aliases: z.array(z.string()).optional(), job: z.string().nullable().optional(), classifier_targets: z.array(classifierTargetResult), model_type: z.literal("classifier").optional()}); export const patchApiV1FineTuningModelsModelIdResponse = z.discriminatedUnion("model_type", [completionFineTunedModel, classifierFineTunedModel]); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Update Fine Tuned Model * * PATCH /v1/fine_tuning/models/{model_id} */ export const patchApiV1FineTuningModelsModelId = async (args: PatchApiV1FineTuningModelsModelIdArgs, options?: PatchApiV1FineTuningModelsModelIdOptions) => { const {baseUrl = "https://api.mistral.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (ApiKey !== undefined) headers.set('authorization', `Bearer ${ApiKey}`) const url = `${baseUrl.replace(/\/+$/, '')}/v1/fine_tuning/models/${encodeURIComponent(String(args.model_id))}${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "PATCH", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(patchApiV1FineTuningModelsModelIdResponse, await res.json()) };