import {z} from 'zod' export type PipelineCloudSchemasRunsRunIOType = 'integer' | 'string' | 'fp' | 'dictionary' | 'boolean' | 'none' | 'array' | 'pkl' | 'file' | 'stream'; export type IOVariable = {run_io_type: PipelineCloudSchemasRunsRunIOType, title?: string | undefined, description?: string | undefined, examples?: Array | undefined, gt?: number | undefined, ge?: number | undefined, lt?: number | undefined, le?: number | undefined, multiple_of?: number | undefined, allow_inf_nan?: boolean | undefined, max_digits?: number | undefined, decimal_places?: number | undefined, min_length?: number | undefined, max_length?: number | undefined, choices?: Array | undefined, dict_schema?: Array> | undefined, default: unknown, optional?: boolean | undefined}; export type Accelerator = 'nvidia_t4' | 'nvidia_a100' | 'nvidia_a100_80gb' | 'nvidia_h100' | 'nvidia_l4' | 'cpu' | 'nvidia_a100_5gb' | 'nvidia_a100_10gb' | 'nvidia_a100_20gb' | 'nvidia_a100_80gb_10gb' | 'nvidia_a100_80gb_20gb' | 'nvidia_a100_80gb_40gb' | 'nvidia_a10' | 'nvidia_a10_12gb' | 'nvidia_a10_8gb' | 'nvidia_a10_4gb'; export type PipelineClusterConfig = {id: string, node_pool: string}; export type PipelineCreate = {name: string, image: string, input_variables: Array, output_variables: Array, accelerators?: Array | undefined, cluster?: PipelineClusterConfig | undefined, description?: string | undefined, readme?: string | undefined, extras?: Record | undefined}; export type CreateApiV4PipelinesArgs = {body: PipelineCreate}; export type CreateApiV4PipelinesOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined}; export const pipelineCloudSchemasRunsRunIOType = z.enum(["integer", "string", "fp", "dictionary", "boolean", "none", "array", "pkl", "file", "stream"]); export const iOVariable = z.object({run_io_type: pipelineCloudSchemasRunsRunIOType, title: z.string().optional(), description: z.string().optional(), examples: z.array(z.unknown()).optional(), gt: z.number().int().optional(), ge: z.number().int().optional(), lt: z.number().int().optional(), le: z.number().int().optional(), multiple_of: z.number().int().optional(), allow_inf_nan: z.boolean().optional(), max_digits: z.number().int().optional(), decimal_places: z.number().int().optional(), min_length: z.number().int().optional(), max_length: z.number().int().optional(), choices: z.array(z.unknown()).optional(), dict_schema: z.array(z.object({})).optional(), default: z.unknown(), optional: z.boolean().optional()}); export const accelerator = z.enum(["nvidia_t4", "nvidia_a100", "nvidia_a100_80gb", "nvidia_h100", "nvidia_l4", "cpu", "nvidia_a100_5gb", "nvidia_a100_10gb", "nvidia_a100_20gb", "nvidia_a100_80gb_10gb", "nvidia_a100_80gb_20gb", "nvidia_a100_80gb_40gb", "nvidia_a10", "nvidia_a10_12gb", "nvidia_a10_8gb", "nvidia_a10_4gb"]); export const pipelineClusterConfig = z.object({id: z.string(), node_pool: z.string()}); export const pipelineState = z.enum(["not_loaded", "loading", "loaded", "load_failed", "startup_failed", "failed"]); export const pipelineContainerState = z.object({state: pipelineState, message: z.string().optional()}); export const pipelineGet = z.object({name: z.string(), image: z.string(), input_variables: z.array(iOVariable), output_variables: z.array(iOVariable), extras: z.object({}).optional(), id: z.string(), created_at: z.string(), updated_at: z.string(), accelerators: z.array(accelerator).optional(), cluster: pipelineClusterConfig.optional(), scaling_config: z.string().optional(), failed_state_info: pipelineContainerState.optional()}); 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 }; /** * Create * * POST /v4/pipelines * * Also accepts auth: APIKeyCookie */ export const createApiV4Pipelines = async (args: CreateApiV4PipelinesArgs, options?: CreateApiV4PipelinesOptions) => { const {baseUrl = "https://www.mystic.ai", fetch: fetchFn = fetch, HTTPBearer} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`) const url = `${baseUrl.replace(/\/+$/, '')}/v4/pipelines${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", 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(pipelineGet, await res.json()) };