import {z} from 'zod' export type ChatCompletionRequestLLMArgs = {[key: string]: unknown}; export type GuardrailsSettings = {exception_message?: string | undefined, show_violated_responses?: boolean | undefined, guardrails_on_transcriptions?: boolean | undefined, vision_guardrails_enabled?: boolean | undefined, guardrails_vision_llm?: string | undefined, column_redaction_config?: Array> | undefined, disallowed_regex_patterns?: Array | undefined, presidio_labels_to_flag?: Array | undefined, pii_labels_to_flag?: Array | undefined, pii_detection_parse_action?: ('allow' | 'redact' | 'fail') | undefined, pii_detection_llm_input_action?: ('allow' | 'redact' | 'fail') | undefined, pii_detection_llm_output_action?: ('allow' | 'redact' | 'fail') | undefined, prompt_guard_labels_to_flag?: Array | undefined, guardrails_labels_to_flag?: Array | undefined, guardrails_llm?: string | undefined, guardrails_safe_category?: string | undefined, guardrails_entities?: {[key: string]: string} | undefined, column_redaction_custom_entities_to_flag?: Array | undefined, column_redaction_custom_entities?: {[key: string]: string} | undefined, custom_pii_entities_to_flag?: Array | undefined, custom_pii_entities?: {[key: string]: string} | undefined}; export type ProcessDocumentJobRequest = {document_id: string, summary_id?: string | undefined, system_prompt?: string | undefined, pre_prompt_summary?: string | undefined, prompt_summary?: string | undefined, image_batch_image_prompt?: string | undefined, image_batch_final_prompt?: string | undefined, llm?: string | undefined, llm_args?: ChatCompletionRequestLLMArgs | undefined, max_num_chunks?: number | undefined, sampling_strategy?: ('auto' | 'uniform' | 'first' | 'first+last') | undefined, pages?: Array | undefined, schema?: Record | undefined, keep_intermediate_results?: boolean | undefined, guardrails_settings?: GuardrailsSettings | undefined, timeout?: number | undefined, meta_data_to_include?: {[key: string]: boolean} | undefined}; export type CreateApiDocumentsProcessJobArgs = {body: ProcessDocumentJobRequest}; export type CreateApiDocumentsProcessJobOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined}; export const jobDetailsStatus = z.object({id: z.string(), status: z.string()}); export const jobDetails = z.object({id: z.string(), name: z.string(), overall_status: z.enum(["in progress", "completed", "failed", "canceled"]), status: z.string().optional(), passed_percentage: z.number(), failed_percentage: z.number(), progress: z.number(), created_at: z.string(), updated_at: z.string(), kind: z.string(), statuses: z.array(jobDetailsStatus), errors: z.array(z.string()), duration: z.string(), duration_seconds: z.number(), canceled_by: z.string().optional(), cancel_reason: z.string().optional(), timeout: z.number().optional(), start_time: z.number().optional(), files_total: z.number().int().optional(), files_failed: z.number().int().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 }; /** * Creates job to process document. * * POST /documents/process_job */ export const createApiDocumentsProcessJob = async (args: CreateApiDocumentsProcessJobArgs, options?: CreateApiDocumentsProcessJobOptions) => { const {baseUrl = "https://h2ogpte.genai.h2o.ai/api/v1", fetch: fetchFn = fetch, bearerAuth} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (bearerAuth !== undefined) headers.set('authorization', `Bearer ${bearerAuth}`) const url = `${baseUrl.replace(/\/+$/, '')}/documents/process_job${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(jobDetails, await res.json()) };