63 lines
1.7 KiB
TypeScript
63 lines
1.7 KiB
TypeScript
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import { z } from 'zod'
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import { blockBaseSchema, credentialsBaseSchema } from '../baseSchemas'
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import { IntegrationBlockType } from './enums'
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export const searchResponseValues = ['Summary', 'Results'] as const
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export const zemanticAiOptionsSchema = z.object({
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credentialsId: z.string().optional(),
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projectId: z.string().optional(),
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systemPrompt: z.string().optional(),
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prompt: z.string().optional(),
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query: z.string().optional(),
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maxResults: z.number().int().optional(),
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responseMapping: z.array(
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z.object({
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id: z.string(),
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valueToExtract: z.preprocess(
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(val) => (!val ? 'Summary' : val),
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z.enum(searchResponseValues)
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),
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variableId: z.string().optional(),
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})
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),
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})
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export const zemanticAiBlockSchema = blockBaseSchema.merge(
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z.object({
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type: z.enum([IntegrationBlockType.ZEMANTIC_AI]),
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blockId: z.string().optional(),
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options: zemanticAiOptionsSchema,
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})
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)
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export const zemanticAiCredentialsSchema = z
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.object({
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type: z.literal('zemanticAi'),
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data: z.object({
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apiKey: z.string(),
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}),
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})
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.merge(credentialsBaseSchema)
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export const zemanticSearchResponseSchema = z.object({
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results: z.array(
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z.object({
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documentId: z.string(),
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text: z.string(),
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score: z.number(),
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})
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),
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summary: z.string(),
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})
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export const zemanticAiDefaultOptions: ZemanticAiOptions = {
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maxResults: 3,
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responseMapping: [],
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}
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export type ZemanticAiResponse = z.infer<typeof zemanticSearchResponseSchema>
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export type ZemanticAiCredentials = z.infer<typeof zemanticAiCredentialsSchema>
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export type ZemanticAiOptions = z.infer<typeof zemanticAiOptionsSchema>
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export type ZemanticAiBlock = z.infer<typeof zemanticAiBlockSchema>
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