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729 lines
22 KiB
TypeScript
729 lines
22 KiB
TypeScript
import { toError } from '@sim/utils/errors'
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import {
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isAzureConfigured,
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isCohereConfigured,
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isHosted,
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isOllamaConfigured,
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} from '@/lib/core/config/env-flags'
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import { getScopesForService } from '@/lib/oauth/utils'
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import { buildCanonicalIndex } from '@/lib/workflows/subblocks/visibility'
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import type { BlockOutput, OutputFieldDefinition, SubBlockConfig } from '@/blocks/types'
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import {
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getBaseModelProviders,
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getHostedModels,
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getProviderIcon,
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getProviderModels,
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orderModelIdsByReleaseDate,
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} from '@/providers/models'
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import { isPiSupportedProvider } from '@/providers/pi-providers'
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import { getProviderFromModel } from '@/providers/utils'
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import { useProvidersStore } from '@/stores/providers/store'
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export const VERTEX_MODELS = getProviderModels('vertex')
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export const BEDROCK_MODELS = getProviderModels('bedrock')
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export const AZURE_MODELS = [
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...getProviderModels('azure-openai'),
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...getProviderModels('azure-anthropic'),
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]
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/**
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* Standard subblocks for Google service account impersonation.
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* Uses a reactive condition that fetches the credential by ID to check if it's
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* a service account — works in both block editor and agent tool-input contexts.
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*/
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export const SERVICE_ACCOUNT_SUBBLOCKS: SubBlockConfig[] = [
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{
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id: 'impersonateUserEmail',
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title: 'Impersonated Account',
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type: 'short-input',
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placeholder: 'Email to impersonate (for service accounts)',
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paramVisibility: 'user-only',
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reactiveCondition: {
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watchFields: ['oauthCredential'],
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requiredType: 'service_account',
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},
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mode: 'both',
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},
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]
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/**
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* Returns model options for combobox subblocks, combining all provider sources.
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*/
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export function getModelOptions() {
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const providersState = useProvidersStore.getState()
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const baseModels = orderModelIdsByReleaseDate(providersState.providers.base.models)
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const ollamaModels = providersState.providers.ollama.models
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const ollamaCloudModels = providersState.providers['ollama-cloud'].models
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const vllmModels = providersState.providers.vllm.models
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const litellmModels = providersState.providers.litellm.models
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const openrouterModels = providersState.providers.openrouter.models
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const fireworksModels = providersState.providers.fireworks.models
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const togetherModels = providersState.providers.together.models
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const basetenModels = providersState.providers.baseten.models
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const allModels = Array.from(
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new Set([
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...baseModels,
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...ollamaModels,
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...ollamaCloudModels,
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...vllmModels,
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...litellmModels,
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...openrouterModels,
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...fireworksModels,
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...togetherModels,
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...basetenModels,
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])
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)
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return allModels.map((model) => {
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const icon = getProviderIcon(model)
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return { label: model, id: model, ...(icon && { icon }) }
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})
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}
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/**
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* Model options filtered to providers the Pi Coding Agent can run (see
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* {@link isPiSupportedProvider}), so the Pi block never offers a model that would
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* error at execution. Uses the same `getProviderFromModel` resolution as the Pi
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* handler, so the dropdown matches runtime behavior; unresolved/blacklisted
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* models (which `getProviderFromModel` can throw on) are excluded.
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*/
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export function getPiModelOptions() {
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return getModelOptions().filter((option) => {
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try {
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return isPiSupportedProvider(getProviderFromModel(option.id))
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} catch {
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return false
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}
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})
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}
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/**
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* Gets all dependency fields as a flat array.
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* Handles both simple array format and object format with all/any fields.
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*/
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export function getDependsOnFields(dependsOn: SubBlockConfig['dependsOn']): string[] {
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if (!dependsOn) return []
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if (Array.isArray(dependsOn)) return dependsOn
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return [...(dependsOn.all || []), ...(dependsOn.any || [])]
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}
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/**
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* Finds subblocks that depend on a changed field, accounting for canonical pairs.
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*/
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export function getSubBlocksDependingOnChange(
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allSubBlocks: SubBlockConfig[],
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changedSubBlockId: string
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): SubBlockConfig[] {
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const canonicalIndex = buildCanonicalIndex(allSubBlocks)
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const canonicalId = canonicalIndex.canonicalIdBySubBlockId[changedSubBlockId]
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const group = canonicalId ? canonicalIndex.groupsById[canonicalId] : undefined
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const changedFields = new Set<string>([changedSubBlockId])
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if (canonicalId) changedFields.add(canonicalId)
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if (group?.basicId) changedFields.add(group.basicId)
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for (const advancedId of group?.advancedIds || []) {
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changedFields.add(advancedId)
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}
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return allSubBlocks.filter((subBlock) =>
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getDependsOnFields(subBlock.dependsOn).some((field) => changedFields.has(field))
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)
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}
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export function resolveOutputType(
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outputs: Record<string, OutputFieldDefinition>
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): Record<string, BlockOutput> {
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const resolvedOutputs: Record<string, BlockOutput> = {}
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for (const [key, outputType] of Object.entries(outputs)) {
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// Handle new format: { type: 'string', description: '...' }
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if (typeof outputType === 'object' && outputType !== null && 'type' in outputType) {
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resolvedOutputs[key] = outputType.type as BlockOutput
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} else {
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// Handle old format: just the type as string, or other object formats
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resolvedOutputs[key] = outputType as BlockOutput
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}
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}
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return resolvedOutputs
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}
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function getProviderFromStore(model: string): string | null {
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const { providers } = useProvidersStore.getState()
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const normalized = model.toLowerCase()
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for (const [key, state] of Object.entries(providers)) {
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if (state.models.some((m: string) => m.toLowerCase() === normalized)) {
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return key
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}
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}
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return null
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}
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function buildModelVisibilityCondition(model: string, shouldShow: boolean) {
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if (!model) {
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return { field: 'model', value: '__no_model_selected__' }
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}
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return shouldShow ? { field: 'model', value: model } : { field: 'model', value: model, not: true }
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}
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function shouldRequireApiKeyForModel(model: string): boolean {
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const normalizedModel = model.trim().toLowerCase()
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if (!normalizedModel) return false
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if (isHosted) {
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const hostedModels = getHostedModels()
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if (hostedModels.some((m) => m.toLowerCase() === normalizedModel)) return false
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}
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if (normalizedModel.startsWith('vertex/') || normalizedModel.startsWith('bedrock/')) {
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return false
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}
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if (
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isAzureConfigured &&
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(normalizedModel.startsWith('azure/') ||
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normalizedModel.startsWith('azure-openai/') ||
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normalizedModel.startsWith('azure-anthropic/') ||
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AZURE_MODELS.some((m) => m.toLowerCase() === normalizedModel))
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) {
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return false
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}
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if (normalizedModel.startsWith('vllm/') || normalizedModel.startsWith('litellm/')) {
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return false
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}
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const storeProvider = getProviderFromStore(normalizedModel)
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if (storeProvider === 'ollama' || storeProvider === 'vllm' || storeProvider === 'litellm')
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return false
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if (storeProvider) return true
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if (isOllamaConfigured) {
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if (normalizedModel.includes('/')) return true
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if (normalizedModel in getBaseModelProviders()) return true
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return false
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}
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return true
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}
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/**
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* Get the API key condition for provider credential subblocks.
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* Handles hosted vs self-hosted environments and excludes providers that don't need API key.
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*/
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export function getApiKeyCondition() {
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return (values?: Record<string, unknown>) => {
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const model = typeof values?.model === 'string' ? values.model : ''
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const shouldShow = shouldRequireApiKeyForModel(model)
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return buildModelVisibilityCondition(model, shouldShow)
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}
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}
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/**
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* Visibility condition for the Cohere reranker API key field on the Knowledge block.
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* Hidden on hosted Sim (platform supplies the key via workspace BYOK or rotating env keys)
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* and on self-hosted deployments that have set `NEXT_PUBLIC_COHERE_CONFIGURED=true` to
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* indicate `COHERE_API_KEY` is pre-configured server-side. Otherwise shown (and required)
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* whenever reranking is enabled for a search operation, mirroring the agent block's
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* `getApiKeyCondition` pattern.
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*/
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export function getCohereRerankerApiKeyCondition() {
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return () => {
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if (isHosted || isCohereConfigured) {
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return { field: 'operation', value: '__never_show__' }
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}
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return {
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field: 'operation',
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value: 'search',
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and: { field: 'rerankerEnabled', value: true },
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}
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}
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}
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/**
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* Returns the standard provider credential subblocks used by LLM-based blocks.
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* This includes: Vertex AI OAuth, API Key, Azure (OpenAI + Anthropic), Vertex AI config, and Bedrock config.
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*
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* Usage: Spread into your block's subBlocks array after block-specific fields
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*/
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export function getProviderCredentialSubBlocks(): SubBlockConfig[] {
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return [
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{
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id: 'vertexCredential',
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title: 'Google Cloud Account',
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type: 'oauth-input',
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serviceId: 'vertex-ai',
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canonicalParamId: 'vertexCredential',
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mode: 'basic',
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requiredScopes: getScopesForService('vertex-ai'),
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placeholder: 'Select Google Cloud account',
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required: true,
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condition: {
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field: 'model',
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value: VERTEX_MODELS,
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},
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},
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{
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id: 'vertexManualCredential',
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title: 'Google Cloud Account',
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type: 'short-input',
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canonicalParamId: 'vertexCredential',
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mode: 'advanced',
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placeholder: 'Enter credential ID',
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required: true,
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condition: {
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field: 'model',
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value: VERTEX_MODELS,
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},
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},
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{
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id: 'apiKey',
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title: 'API Key',
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type: 'short-input',
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placeholder: 'Enter your API key',
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password: true,
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connectionDroppable: false,
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required: true,
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condition: getApiKeyCondition(),
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},
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{
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id: 'azureEndpoint',
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title: 'Azure Endpoint',
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type: 'short-input',
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password: true,
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placeholder: 'https://your-resource.services.ai.azure.com',
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connectionDroppable: false,
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hideWhenEnvSet: 'NEXT_PUBLIC_AZURE_CONFIGURED',
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condition: {
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field: 'model',
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value: AZURE_MODELS,
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},
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},
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{
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id: 'azureApiVersion',
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title: 'Azure API Version',
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type: 'short-input',
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placeholder: 'Enter API version',
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connectionDroppable: false,
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hideWhenEnvSet: 'NEXT_PUBLIC_AZURE_CONFIGURED',
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condition: {
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field: 'model',
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value: AZURE_MODELS,
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},
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},
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{
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id: 'vertexProject',
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title: 'Vertex AI Project',
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type: 'short-input',
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password: true,
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placeholder: 'your-gcp-project-id',
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connectionDroppable: false,
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required: true,
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condition: {
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field: 'model',
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value: VERTEX_MODELS,
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},
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},
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{
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id: 'vertexLocation',
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title: 'Vertex AI Location',
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type: 'short-input',
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placeholder: 'us-central1',
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connectionDroppable: false,
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required: true,
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condition: {
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field: 'model',
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value: VERTEX_MODELS,
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},
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},
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{
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id: 'bedrockAccessKeyId',
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title: 'AWS Access Key ID',
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type: 'short-input',
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password: true,
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placeholder: 'Enter your AWS Access Key ID',
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connectionDroppable: false,
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required: true,
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hideWhenEnvSet: 'NEXT_PUBLIC_BEDROCK_DEFAULT_CREDENTIALS',
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condition: {
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field: 'model',
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value: BEDROCK_MODELS,
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},
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},
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{
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id: 'bedrockSecretKey',
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title: 'AWS Secret Access Key',
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type: 'short-input',
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password: true,
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placeholder: 'Enter your AWS Secret Access Key',
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connectionDroppable: false,
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required: true,
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hideWhenEnvSet: 'NEXT_PUBLIC_BEDROCK_DEFAULT_CREDENTIALS',
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condition: {
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field: 'model',
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value: BEDROCK_MODELS,
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},
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},
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{
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id: 'bedrockRegion',
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title: 'AWS Region',
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type: 'short-input',
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placeholder: 'us-east-1',
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connectionDroppable: false,
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condition: {
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field: 'model',
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value: BEDROCK_MODELS,
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},
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},
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]
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}
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/**
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* Returns the standard input definitions for provider credentials.
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* Use this in your block's inputs definition.
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*/
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export const PROVIDER_CREDENTIAL_INPUTS = {
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apiKey: { type: 'string', description: 'Provider API key' },
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azureEndpoint: { type: 'string', description: 'Azure endpoint URL' },
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azureApiVersion: { type: 'string', description: 'Azure API version' },
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vertexProject: { type: 'string', description: 'Google Cloud project ID for Vertex AI' },
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vertexLocation: { type: 'string', description: 'Google Cloud location for Vertex AI' },
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vertexCredential: {
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type: 'string',
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description: 'Google Cloud OAuth credential ID for Vertex AI',
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},
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bedrockAccessKeyId: { type: 'string', description: 'AWS Access Key ID for Bedrock' },
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bedrockSecretKey: { type: 'string', description: 'AWS Secret Access Key for Bedrock' },
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bedrockRegion: { type: 'string', description: 'AWS region for Bedrock' },
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} as const
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/**
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* Create a versioned tool selector from an existing tool selector.
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*
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* This is useful for `*_v2` blocks where the operation UI remains the same, but
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* the underlying tool IDs are suffixed (e.g. `cursor_launch_agent` -> `cursor_launch_agent_v2`).
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*
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* @example
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* tools: {
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* config: {
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* tool: createVersionedToolSelector({
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* baseToolSelector: (params) => params.operation,
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* suffix: '_v2',
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* fallbackToolId: 'cursor_launch_agent_v2',
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* }),
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* },
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* }
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*/
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export function createVersionedToolSelector<TParams extends Record<string, any>>(args: {
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baseToolSelector: (params: TParams) => string
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suffix: `_${string}`
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fallbackToolId: string
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}): (params: TParams) => string {
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const { baseToolSelector, suffix, fallbackToolId } = args
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return (params: TParams) => {
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try {
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const baseToolId = baseToolSelector(params)
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if (!baseToolId || typeof baseToolId !== 'string') return fallbackToolId
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return baseToolId.endsWith(suffix) ? baseToolId : `${baseToolId}${suffix}`
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} catch {
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return fallbackToolId
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}
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}
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}
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interface ParseOptionalNumberInputOptions {
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integer?: boolean
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max?: number
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min?: number
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}
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/**
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* Parses an optional JSON-capable block input value.
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* Returns `undefined` for empty values and throws a helpful error for invalid JSON strings.
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*/
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export function parseOptionalJsonInput<T = unknown>(value: unknown, label: string): T | undefined {
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if (value === undefined || value === null || value === '') {
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return undefined
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}
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if (typeof value === 'string') {
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const trimmed = value.trim()
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if (trimmed.length === 0) {
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return undefined
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}
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try {
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return JSON.parse(trimmed) as T
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} catch (error) {
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throw new Error(`Invalid JSON for ${label}: ${toError(error).message}`)
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}
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}
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return value as T
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}
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/**
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* Parses an optional numeric block input value.
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* Returns `undefined` for empty values and throws when the provided value is not a valid number.
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*/
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export function parseOptionalNumberInput(
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value: unknown,
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label: string,
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options: ParseOptionalNumberInputOptions = {}
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): number | undefined {
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if (value === undefined || value === null || value === '') {
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return undefined
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}
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let parsed: number
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if (typeof value === 'number') {
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parsed = value
|
|
} else if (typeof value === 'string') {
|
|
const trimmed = value.trim()
|
|
if (trimmed.length === 0) {
|
|
return undefined
|
|
}
|
|
|
|
parsed = Number(trimmed)
|
|
} else {
|
|
throw new Error(`Invalid number for ${label}: expected a valid number.`)
|
|
}
|
|
|
|
if (!Number.isFinite(parsed)) {
|
|
throw new Error(`Invalid number for ${label}: expected a valid number.`)
|
|
}
|
|
|
|
if (options.integer && !Number.isInteger(parsed)) {
|
|
throw new Error(`Invalid number for ${label}: expected an integer.`)
|
|
}
|
|
|
|
if (options.min != null && parsed < options.min) {
|
|
throw new Error(`${label} must be at least ${options.min}.`)
|
|
}
|
|
|
|
if (options.max != null && parsed > options.max) {
|
|
throw new Error(`${label} must be at most ${options.max}.`)
|
|
}
|
|
|
|
return parsed
|
|
}
|
|
|
|
/**
|
|
* Parses an optional boolean block input value.
|
|
* Returns `undefined` for empty or unrecognized values.
|
|
*/
|
|
export function parseOptionalBooleanInput(value: unknown): boolean | undefined {
|
|
if (value === undefined || value === null || value === '') {
|
|
return undefined
|
|
}
|
|
|
|
if (typeof value === 'boolean') {
|
|
return value
|
|
}
|
|
|
|
if (typeof value === 'number') {
|
|
return value !== 0
|
|
}
|
|
|
|
if (typeof value !== 'string') {
|
|
return undefined
|
|
}
|
|
|
|
const normalized = value.trim().toLowerCase()
|
|
if (normalized.length === 0) {
|
|
return undefined
|
|
}
|
|
|
|
if (normalized === 'true' || normalized === '1') {
|
|
return true
|
|
}
|
|
|
|
if (normalized === 'false' || normalized === '0') {
|
|
return false
|
|
}
|
|
|
|
return undefined
|
|
}
|
|
|
|
const DEFAULT_MULTIPLE_FILES_ERROR =
|
|
'File reference must be a single file, not an array. Use <block.files[0]> to select one file.'
|
|
|
|
/**
|
|
* Normalizes file input from block params to a consistent format.
|
|
* Handles the case where template resolution JSON.stringify's arrays/objects
|
|
* when they're placed in short-input fields (advanced mode).
|
|
*
|
|
* @param fileParam - The file parameter which could be:
|
|
* - undefined/null (no files)
|
|
* - An array of file objects (basic mode or properly resolved)
|
|
* - A single file object
|
|
* - A JSON string of file(s) (from advanced mode template resolution)
|
|
* @param options.single - If true, returns single file object and throws if multiple provided
|
|
* @param options.errorMessage - Custom error message when single is true and multiple files provided
|
|
* @returns Normalized file(s), or undefined if no files
|
|
*/
|
|
export function normalizeFileInput(
|
|
fileParam: unknown,
|
|
options: { single: true; errorMessage?: string }
|
|
): object | undefined
|
|
export function normalizeFileInput(
|
|
fileParam: unknown,
|
|
options?: { single?: false }
|
|
): object[] | undefined
|
|
export function normalizeFileInput(
|
|
fileParam: unknown,
|
|
options?: { single?: boolean; errorMessage?: string }
|
|
): object | object[] | undefined {
|
|
if (!fileParam) return undefined
|
|
|
|
if (typeof fileParam === 'string') {
|
|
try {
|
|
fileParam = JSON.parse(fileParam)
|
|
} catch {
|
|
return undefined
|
|
}
|
|
}
|
|
|
|
let files: object[] | undefined
|
|
|
|
if (Array.isArray(fileParam)) {
|
|
files = fileParam.length > 0 ? fileParam : undefined
|
|
} else if (typeof fileParam === 'object' && fileParam !== null) {
|
|
files = [fileParam]
|
|
}
|
|
|
|
if (!files) return undefined
|
|
|
|
if (options?.single) {
|
|
if (files.length > 1) {
|
|
throw new Error(options.errorMessage ?? DEFAULT_MULTIPLE_FILES_ERROR)
|
|
}
|
|
return files[0]
|
|
}
|
|
|
|
return files
|
|
}
|
|
|
|
/**
|
|
* Block types that are built-in to the platform (as opposed to third-party integrations).
|
|
* Used to categorize tools in the tool selection dropdown.
|
|
*/
|
|
export const BUILT_IN_TOOL_TYPES = new Set([
|
|
'api',
|
|
'file',
|
|
'function',
|
|
'knowledge',
|
|
'search',
|
|
'thinking',
|
|
'image_generator',
|
|
'image_generator_v2',
|
|
'video_generator',
|
|
'video_generator_v2',
|
|
'video_generator_v3',
|
|
'vision',
|
|
'translate',
|
|
'tts',
|
|
'stt',
|
|
'memory',
|
|
'table',
|
|
'webhook_request',
|
|
'workflow',
|
|
])
|
|
|
|
/**
|
|
* Shared wand configuration for the Response Format code subblock.
|
|
* Used by Agent and Mothership blocks.
|
|
*/
|
|
export const RESPONSE_FORMAT_WAND_CONFIG = {
|
|
enabled: true,
|
|
maintainHistory: true,
|
|
prompt: `You are an expert programmer specializing in creating JSON schemas according to a specific format.
|
|
Generate ONLY the JSON schema based on the user's request.
|
|
The output MUST be a single, valid JSON object, starting with { and ending with }.
|
|
The JSON object MUST have the following top-level properties: 'name' (string), 'description' (string), 'strict' (boolean, usually true), and 'schema' (object).
|
|
The 'schema' object must define the structure and MUST contain 'type': 'object', 'properties': {...}, 'additionalProperties': false, and 'required': [...].
|
|
Inside 'properties', use standard JSON Schema properties (type, description, enum, items for arrays, etc.).
|
|
|
|
Current schema: {context}
|
|
|
|
Do not include any explanations, markdown formatting, or other text outside the JSON object.
|
|
|
|
Valid Schema Examples:
|
|
|
|
Example 1:
|
|
{
|
|
"name": "reddit_post",
|
|
"description": "Fetches the reddit posts in the given subreddit",
|
|
"strict": true,
|
|
"schema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"title": {
|
|
"type": "string",
|
|
"description": "The title of the post"
|
|
},
|
|
"content": {
|
|
"type": "string",
|
|
"description": "The content of the post"
|
|
}
|
|
},
|
|
"additionalProperties": false,
|
|
"required": [ "title", "content" ]
|
|
}
|
|
}
|
|
|
|
Example 2:
|
|
{
|
|
"name": "get_weather",
|
|
"description": "Fetches the current weather for a specific location.",
|
|
"strict": true,
|
|
"schema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"location": {
|
|
"type": "string",
|
|
"description": "The city and state, e.g., San Francisco, CA"
|
|
},
|
|
"unit": {
|
|
"type": "string",
|
|
"description": "Temperature unit",
|
|
"enum": ["celsius", "fahrenheit"]
|
|
}
|
|
},
|
|
"additionalProperties": false,
|
|
"required": ["location", "unit"]
|
|
}
|
|
}
|
|
|
|
Example 3 (Array Input):
|
|
{
|
|
"name": "process_items",
|
|
"description": "Processes a list of items with specific IDs.",
|
|
"strict": true,
|
|
"schema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"item_ids": {
|
|
"type": "array",
|
|
"description": "A list of unique item identifiers to process.",
|
|
"items": {
|
|
"type": "string",
|
|
"description": "An item ID"
|
|
}
|
|
},
|
|
"processing_mode": {
|
|
"type": "string",
|
|
"description": "The mode for processing",
|
|
"enum": ["fast", "thorough"]
|
|
}
|
|
},
|
|
"additionalProperties": false,
|
|
"required": ["item_ids", "processing_mode"]
|
|
}
|
|
}
|
|
`,
|
|
placeholder: 'Describe the JSON schema structure you need...',
|
|
generationType: 'json-schema' as const,
|
|
}
|