import {z} from 'zod' export type GetApiV3SequencesAiSdrSequenceIdSettingsArgs = {sequence_id: number}; export type GetApiV3SequencesAiSdrSequenceIdSettingsOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined}; export const getApiV3SequencesAiSdrSequenceIdSettingsResponse = z.object({offerId: z.number().int().nullable().optional(), offerGenerationInputs: z.object({companyName: z.string().max(200).optional(), companyDescription: z.string().max(3000).optional(), icp: z.string().max(1000).optional(), reasonForOutreach: z.string().max(1000).optional(), caseStudies: z.array(z.string().min(1).max(1000)).optional(), painPoints: z.array(z.string().min(1).max(1000)).optional(), proofPoints: z.array(z.string().min(1).max(1000)).optional(), valuePropositions: z.array(z.string().min(1).max(1000)).optional(), callToActions: z.array(z.string().min(1).max(1000)).optional()}).optional(), toneOfVoice: z.object({language: z.enum(["englishUS", "englishUK", "spanish", "albanian", "armenian", "bengali", "bosnian", "bulgarian", "catalan", "chinese", "croatian", "czech", "danish", "dutch", "estonian", "finnish", "french", "georgian", "german", "greek", "hindi", "hungarian", "icelandic", "indonesian", "italian", "japanese", "kazakh", "korean", "latvian", "lithuanian", "macedonian", "malay", "mongolian", "norwegian", "persian", "polish", "portugueseEU", "portugueseBR", "romanian", "serbian", "slovak", "slovenian", "swedish", "thai", "turkish", "ukrainian", "vietnamese", "arabic", "uzbek", "hebrew"]).optional(), toneOfVoice: z.enum(["confident", "persuasive", "witty", "straightforward", "empathetic"]).optional(), messageLength: z.enum(["superShort", "short", "medium", "long"]).optional(), gender: z.enum(["man", "woman"]).optional()}).optional(), generatedStepTypes: z.array(z.enum(["email", "linkedIn", "call", "linkedInInMail", "linkedInAiVoice"])).optional(), providerLLM: z.enum(["claude", "openAi", "gemini", "mistral"]).optional(), personalizationPoints: z.object({basicResearch: z.boolean().nullable().optional(), companyResearch: z.object({description: z.boolean().nullable().optional(), mission: z.boolean().nullable().optional(), techStack: z.boolean().nullable().optional(), tenKReport: z.boolean().nullable().optional(), recentReportForInvestors: z.boolean().nullable().optional(), financialReport: z.boolean().nullable().optional(), fundraisingResearch: z.boolean().nullable().optional(), challenges: z.boolean().nullable().optional(), recentNews: z.boolean().nullable().optional(), predictChallengesAndCompetitors: z.boolean().nullable().optional(), productsServicesDeepDive: z.boolean().nullable().optional(), mergersAcquisitions: z.boolean().nullable().optional(), customerReviews: z.boolean().nullable().optional()}).nullable().optional(), prospectResearch: z.object({aboutSection: z.boolean().nullable().optional(), hobbiesInterests: z.boolean().nullable().optional(), quotes: z.boolean().nullable().optional(), achievements: z.boolean().nullable().optional(), careerSummary: z.boolean().nullable().optional(), jobResponsibilitiesInCurrentCompany: z.boolean().nullable().optional(), achievementsInCurrentCompany: z.boolean().nullable().optional()}).nullable().optional(), industryResearch: z.object({recentIndustryNews: z.boolean().nullable().optional(), industryTrends: z.boolean().nullable().optional(), competitorsOverviewNews: z.boolean().nullable().optional()}).nullable().optional(), contactFields: z.object({enabled: z.boolean().nullable().optional(), defaultFields: z.array(z.enum(["firstName", "lastName", "title", "companySize", "industry", "city", "state", "country"])).nullable().optional(), customFieldIds: z.array(z.number().int().gte(1)).nullable().optional()}).nullable().optional(), customResearch: z.object({enabled: z.boolean().nullable().optional(), instructions: z.string().max(2000).nullable().optional()}).nullable().optional()}).optional(), autopilot: z.object({status: z.enum(["enabled", "disabled", "paused", "disabledByLackOfContacts", "disabledByContactsLimitExceeded"]).optional(), isSearchInProgress: z.boolean().optional(), filters: z.object({accountListIds: z.array(z.object({value: z.number().int().gte(1), type: z.enum(["include", "exclude"]).optional()})).optional(), industries: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), companyLocations: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), companySizes: z.array(z.enum(["none", "selfEmployed", "ten", "fifty", "twoHundred", "fiveHundred", "oneThousand", "fiveThousand", "tenThousand", "overTenThousand"])).optional(), headcountGrowth: z.object({min: z.number().int().gte(0).nullable().optional(), max: z.number().int().gte(0).nullable().optional()}).nullable().optional(), departmentHeadcountGrowth: z.object({min: z.number().int().gte(0).nullable().optional(), max: z.number().int().gte(0).nullable().optional(), department: z.string().max(200)}).nullable().optional(), minRevenue: z.enum(["zeroMillion", "halfMillion", "oneMillion", "twoAndHalfMillion", "fiveMillion", "tenMillion", "twentyMillion", "fiftyMillion", "oneHundredMillion", "fiveHundredMillion", "oneThousandMillion", "overOneThousandMillion"]).nullable().optional(), maxRevenue: z.enum(["zeroMillion", "halfMillion", "oneMillion", "twoAndHalfMillion", "fiveMillion", "tenMillion", "twentyMillion", "fiftyMillion", "oneHundredMillion", "fiveHundredMillion", "oneThousandMillion", "overOneThousandMillion"]).nullable().optional(), accountKeywords: z.object({values: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), type: z.enum(["or", "and"]).optional()}).optional(), isHiringOnLinkedIn: z.boolean().optional(), contactLocations: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), jobTitles: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), departments: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), seniorities: z.array(z.string().min(1).max(200)).optional(), yearsInCompany: z.array(z.enum(["none", "lessThanOneYear", "oneToTwoYears", "threeToFiveYears", "sixToTenYears", "moreThanTenYears"])).optional(), contactKeywords: z.object({values: z.array(z.object({value: z.string().max(200), type: z.enum(["include", "exclude"]).optional()})).optional(), type: z.enum(["or", "and"]).optional()}).optional(), changedJobIn90Days: z.boolean().optional()}).optional(), referenceUrl: z.string().nullable().optional(), maxPeoplePerCompany: z.number().int().optional(), maxPeopleToAddPerDay: z.number().int().optional(), searchContactPhones: z.boolean().optional(), addContactsWithoutEmailAddresses: z.boolean().optional()}).optional(), playbookId: z.string().nullable().optional(), knowledgeBaseId: z.number().int().nullable().optional(), approvalMode: z.object({enabled: z.boolean().optional()}).optional(), intentSignals: z.array(z.object({type: z.enum(["linkedInPostEngagers", "competitorFollowers", "technologyUsed", "jobHiring"]), postEngagers: z.object({mode: z.enum(["monitorProfiles", "monitorPosts"]), icpFitPercentage: z.union([z.literal(20), z.literal(40), z.literal(60), z.literal(80), z.literal(100)]).optional(), monitorProfiles: z.object({monitorForDays: z.union([z.literal(2), z.literal(3), z.literal(5), z.literal(7), z.literal(15), z.literal(30)]), profiles: z.array(z.object({linkedInUrl: z.string().min(1).max(2048), numberOfPosts: z.union([z.literal(3), z.literal(5), z.literal(10), z.literal(15), z.literal(20)]).optional()})).optional()}).nullable().optional(), monitorPosts: z.object({postUrls: z.array(z.string().min(1).max(2048)).optional()}).nullable().optional()}).nullable().optional(), competitorFollowers: z.object({linkedInUrls: z.array(z.string().min(1).max(2048)).optional(), entitiesToFind: z.number().int().gte(100).lte(500).optional(), icpFitPercentage: z.union([z.literal(20), z.literal(40), z.literal(60), z.literal(80), z.literal(100)]).optional()}).nullable().optional(), technologyUsed: z.object({industryId: z.number().int().gte(1).nullable().optional(), technologies: z.array(z.string().min(1).max(200)).optional(), useAndLogicInTechnologies: z.boolean().optional(), entitiesToFind: z.number().int().gte(1).lte(500).optional()}).nullable().optional(), jobHiring: z.object({keyword: z.string().min(1).max(200), industries: z.array(z.number().int().gte(1)).optional(), entitiesToFind: z.number().int().gte(1).lte(500).optional()}).nullable().optional()})).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 }; /** * Read AI SDR sequence settings * * GET /v3/sequences/ai-sdr/{sequence_id}/settings */ export const getApiV3SequencesAiSdrSequenceIdSettings = async (args: GetApiV3SequencesAiSdrSequenceIdSettingsArgs, options?: GetApiV3SequencesAiSdrSequenceIdSettingsOptions) => { const {baseUrl = "https://api.reply.io", fetch: fetchFn = fetch, bearerAuth} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('accept', "application/json") if (bearerAuth !== undefined) headers.set('authorization', `Bearer ${bearerAuth}`) const url = `${baseUrl.replace(/\/+$/, '')}/v3/sequences/ai-sdr/${encodeURIComponent(String(args.sequence_id))}/settings${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "GET", headers}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(getApiV3SequencesAiSdrSequenceIdSettingsResponse, await res.json()) };