336 lines
8.9 KiB
TypeScript
336 lines
8.9 KiB
TypeScript
import { z } from '../../zod'
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import {
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buttonsInputSchemas,
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dateInputSchema,
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emailInputSchema,
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fileInputBlockSchemas,
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numberInputSchema,
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paymentInputRuntimeOptionsSchema,
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paymentInputSchema,
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phoneNumberInputBlockSchema,
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pictureChoiceBlockSchemas,
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ratingInputBlockSchema,
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textInputSchema,
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urlInputSchema,
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} from '../blocks'
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import { logSchema } from '../result'
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import { settingsSchema, themeSchema } from '../typebot'
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import {
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textBubbleContentSchema,
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imageBubbleContentSchema,
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videoBubbleContentSchema,
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audioBubbleContentSchema,
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embedBubbleContentSchema,
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} from '../blocks/bubbles'
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import { sessionStateSchema } from './sessionState'
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import { dynamicThemeSchema } from './shared'
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import { preprocessTypebot } from '../typebot/helpers/preprocessTypebot'
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import { typebotV5Schema, typebotV6Schema } from '../typebot/typebot'
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import { BubbleBlockType } from '../blocks/bubbles/constants'
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import { clientSideActionSchema } from './clientSideAction'
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const chatSessionSchema = z.object({
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id: z.string(),
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createdAt: z.date(),
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updatedAt: z.date(),
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state: sessionStateSchema,
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})
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export type ChatSession = z.infer<typeof chatSessionSchema>
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const textMessageSchema = z
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.object({
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type: z.literal(BubbleBlockType.TEXT),
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content: textBubbleContentSchema,
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})
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.openapi({
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title: 'Text',
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ref: 'textMessage',
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})
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const imageMessageSchema = z
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.object({
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type: z.enum([BubbleBlockType.IMAGE]),
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content: imageBubbleContentSchema,
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})
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.openapi({
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title: 'Image',
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ref: 'imageMessage',
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})
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const videoMessageSchema = z
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.object({
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type: z.enum([BubbleBlockType.VIDEO]),
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content: videoBubbleContentSchema,
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})
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.openapi({
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title: 'Video',
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ref: 'videoMessage',
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})
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const audioMessageSchema = z
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.object({
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type: z.enum([BubbleBlockType.AUDIO]),
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content: audioBubbleContentSchema,
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})
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.openapi({
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title: 'Audio',
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ref: 'audioMessage',
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})
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const embedMessageSchema = z
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.object({
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type: z.enum([BubbleBlockType.EMBED]),
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content: embedBubbleContentSchema
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.omit({
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height: true,
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})
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.merge(z.object({ height: z.number().optional() })),
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})
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.openapi({
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title: 'Embed',
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ref: 'embedMessage',
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})
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const displayEmbedBubbleSchema = z.object({
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waitForEventFunction: z
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.object({
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args: z.record(z.string(), z.unknown()),
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content: z.string(),
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})
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.optional(),
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initFunction: z.object({
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args: z.record(z.string(), z.unknown()),
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content: z.string(),
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}),
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})
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const customEmbedSchema = z
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.object({
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type: z.literal('custom-embed'),
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content: displayEmbedBubbleSchema,
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})
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.openapi({
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title: 'Custom embed',
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ref: 'customEmbedMessage',
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})
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export type CustomEmbedBubble = z.infer<typeof customEmbedSchema>
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export const chatMessageSchema = z
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.object({ id: z.string() })
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.and(
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z.discriminatedUnion('type', [
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textMessageSchema,
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imageMessageSchema,
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videoMessageSchema,
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audioMessageSchema,
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embedMessageSchema,
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customEmbedSchema,
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])
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)
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export type ChatMessage = z.infer<typeof chatMessageSchema>
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const startTypebotPick = {
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version: true,
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id: true,
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groups: true,
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events: true,
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edges: true,
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variables: true,
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settings: true,
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theme: true,
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} as const
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export const startTypebotSchema = z.preprocess(
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preprocessTypebot,
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z.discriminatedUnion('version', [
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typebotV5Schema._def.schema.pick(startTypebotPick).openapi({
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title: 'Typebot V5',
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ref: 'typebotV5',
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}),
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typebotV6Schema.pick(startTypebotPick).openapi({
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title: 'Typebot V6',
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ref: 'typebotV6',
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}),
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])
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)
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export type StartTypebot = z.infer<typeof startTypebotSchema>
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export const chatLogSchema = logSchema
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.pick({
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status: true,
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description: true,
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})
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.merge(z.object({ details: z.unknown().optional() }))
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export type ChatLog = z.infer<typeof chatLogSchema>
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export const startChatInputSchema = z.object({
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publicId: z
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.string()
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.describe(
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"[Where to find my bot's public ID?](../how-to#how-to-find-my-publicid)"
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),
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message: z
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.string()
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.optional()
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.describe(
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"Only provide it if your flow starts with an input block and you'd like to directly provide an answer to it."
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),
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isStreamEnabled: z
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.boolean()
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.optional()
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.default(false)
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.describe(
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'If enabled, you will be required to stream OpenAI completions on a client and send the generated response back to the API.'
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),
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resultId: z
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.string()
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.optional()
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.describe("Provide it if you'd like to overwrite an existing result."),
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isOnlyRegistering: z
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.boolean()
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.optional()
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.default(false)
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.describe(
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'If set to `true`, it will only register the session and not start the bot. This is used for 3rd party chat platforms as it can require a session to be registered before sending the first message.'
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),
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prefilledVariables: z
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.record(z.unknown())
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.optional()
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.describe(
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'[More info about prefilled variables.](../../editor/variables#prefilled-variables)'
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)
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.openapi({
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example: {
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'First name': 'John',
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Email: 'john@gmail.com',
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},
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}),
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})
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export type StartChatInput = z.infer<typeof startChatInputSchema>
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export const startFromSchema = z.discriminatedUnion('type', [
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z.object({
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type: z.literal('group'),
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groupId: z.string(),
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}),
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z.object({
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type: z.literal('event'),
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eventId: z.string(),
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}),
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])
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export type StartFrom = z.infer<typeof startFromSchema>
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export const startPreviewChatInputSchema = z.object({
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typebotId: z
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.string()
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.describe(
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"[Where to find my bot's ID?](../how-to#how-to-find-my-typebotid)"
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),
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isStreamEnabled: z.boolean().optional(),
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message: z.string().optional(),
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isOnlyRegistering: z
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.boolean()
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.optional()
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.describe(
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'If set to `true`, it will only register the session and not start the bot. This is used for 3rd party chat platforms as it can require a session to be registered before sending the first message.'
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),
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typebot: startTypebotSchema
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.optional()
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.describe(
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'If set, it will override the typebot that is used to start the chat.'
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),
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startFrom: startFromSchema.optional(),
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})
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export type StartPreviewChatInput = z.infer<typeof startPreviewChatInputSchema>
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export const runtimeOptionsSchema = paymentInputRuntimeOptionsSchema.optional()
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export type RuntimeOptions = z.infer<typeof runtimeOptionsSchema>
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const typebotInChatReplyPick = {
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version: true,
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id: true,
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groups: true,
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edges: true,
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variables: true,
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settings: true,
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theme: true,
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} as const
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export const typebotInChatReply = z.preprocess(
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preprocessTypebot,
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z.discriminatedUnion('version', [
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typebotV5Schema._def.schema.pick(typebotInChatReplyPick),
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typebotV6Schema.pick(typebotInChatReplyPick),
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])
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)
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const chatResponseBaseSchema = z.object({
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lastMessageNewFormat: z
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.string()
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.optional()
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.describe(
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'The sent message is validated and formatted on the backend. For example, if for a date input you replied something like `tomorrow`, the backend will convert it to a date string. This field returns the formatted message.'
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),
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messages: z.array(chatMessageSchema),
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input: z
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.union([
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z.discriminatedUnion('type', [
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textInputSchema,
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buttonsInputSchemas.v6,
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emailInputSchema,
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numberInputSchema,
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urlInputSchema,
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phoneNumberInputBlockSchema,
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dateInputSchema,
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paymentInputSchema,
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ratingInputBlockSchema,
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fileInputBlockSchemas.v6,
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pictureChoiceBlockSchemas.v6,
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]),
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z.discriminatedUnion('type', [
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buttonsInputSchemas.v5,
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fileInputBlockSchemas.v5,
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pictureChoiceBlockSchemas.v5,
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]),
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])
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.and(
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z.object({
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prefilledValue: z.string().optional(),
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runtimeOptions: runtimeOptionsSchema.optional(),
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})
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)
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.optional(),
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clientSideActions: z
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.array(clientSideActionSchema)
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.optional()
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.describe('Actions to execute on the client side'),
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logs: z
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.array(chatLogSchema)
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.optional()
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.describe('Logs that were saved during the last execution'),
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dynamicTheme: dynamicThemeSchema
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.optional()
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.describe(
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'If the typebot contains dynamic avatars, dynamicTheme returns the new avatar URLs whenever their variables are updated.'
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),
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})
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export const startChatResponseSchema = z
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.object({
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sessionId: z
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.string()
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.describe('To save and use for /continueChat requests.'),
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resultId: z.string(),
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typebot: z.object({
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id: z.string(),
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theme: themeSchema,
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settings: settingsSchema,
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}),
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})
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.merge(chatResponseBaseSchema)
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export type StartChatResponse = z.infer<typeof startChatResponseSchema>
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export const startPreviewChatResponseSchema = startChatResponseSchema.omit({
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resultId: true,
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})
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export const continueChatResponseSchema = chatResponseBaseSchema
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export type ContinueChatResponse = z.infer<typeof continueChatResponseSchema>
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