1aa60dada2
Implements three-phase AI assistant feature: - Phase 0: RAG infrastructure with pgvector embeddings, Voyage AI integration, tree chunking service, and semantic search over team's flow library - Phase 1: In-session copilot panel during flow navigation with contextual AI help, current step awareness, and suggested related flows - Phase 2: Standalone AI chat page with persistent conversation history, pin/delete, and configurable retention policies (account-level) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
23 lines
1.1 KiB
TypeScript
23 lines
1.1 KiB
TypeScript
export { default as apiClient } from './client'
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export { default as authApi } from './auth'
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export { default as treesApi } from './trees'
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export { default as sessionsApi } from './sessions'
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export { default as inviteApi } from './invite'
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export { default as tagsApi } from './tags'
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export { default as categoriesApi } from './categories'
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export { default as foldersApi } from './folders'
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export { default as stepsApi } from './steps'
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export { default as stepCategoriesApi } from './stepCategories'
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export { default as accountsApi } from './accounts'
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export { default as adminApi } from './admin'
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export { treeMarkdownApi } from './treeMarkdown'
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export { default as pinnedFlowsApi } from './pinnedFlows'
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export { default as analyticsApi } from './analytics'
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export { targetListsApi } from './targetLists'
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export { maintenanceSchedulesApi, batchLaunchApi } from './maintenanceSchedules'
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export { default as feedbackApi } from './feedback'
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export { default as aiBuilderApi } from './aiBuilder'
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export { default as aiChatApi } from './aiChat'
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export { copilotApi } from './copilot'
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export { assistantChatApi } from './assistantChat'
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