Files
Carel de WaalandAlaister Young 0acc0eb8b3 feat: Support Form - Sync AI assistant conversation to Front (#46778)
# Sync AI assistant conversation to Front

## What & why

When a user submits a support ticket, an AI assistant chat opens so they
get help
immediately while waiting for a human agent. This PR mirrors every turn
of that chat into
the Front conversation the support form already created, so the support
team sees the full
context and Front automations (routing, emails, CSAT) can act on it.

Studio holds no Front credentials — it calls the platform endpoints (see
the platform PR)
to do the syncing. The assistant card is gated behind the
`supportAssistantFollowUp`
ConfigCat flag.

## How it works

1. **Submit** — `SupportFormV3` generates a stable `threadRef` (via the
`uuid` package —
`crypto.randomUUID()` is `undefined` in insecure contexts like
non-localhost HTTP and
would throw, silently aborting the submit) and sends it on
`/platform/feedback/send`.
The response returns the Front `conversationId`. Both are stored on
`SubmittedSupportRequest`.
2. **Open chat** — `SupportAssistantSuccessCardContent` opens a chat
seeded with
`supportMetadata` (`threadRef`, `frontConversationId`, subject,
category, severity, …).
   The first message is a `<support>…</support>` XML block.
3. **First user message** — the chat is tagged `isSupportChat = true`;
the `onFinish` hook
   fires `syncSupportChatToFront`.
4. **Subsequent turns** — each `onFinish` slices the unsynced delta,
strips the XML
metadata block from the seed message, and posts to the platform messages
endpoint.
5. **Escalation / resolve** — the `escalate_to_human` /
`resolve_support_conversation` tools
(and manual **Escalate**/**Resolve** buttons in the assistant input)
flip lifecycle status
via `setSupportLifecycleStatus` → `syncSupportLifecycleToFront`, which
calls the
escalation/resolve endpoints. Front rules act on `ai_support_status`.
The assistant only
   resolves after the user explicitly confirms the issue is fixed.

## Key design decisions

- **`threadRef` as the shared key** — one UUID travels as `threadRef` on
submit and as
`chatId` on every sync, so all messages thread into a single Front
conversation.
- **`conversationId` from the form response** — passed to all
sync/lifecycle calls so the
  platform skips lazy derivation and PATCHes custom fields directly.
- **Delta-only sync** — `lastSyncedMessageCount` tracks what's been
sent; the boundary is
snapshotted before the async call to avoid skipping messages that arrive
mid-flight.
- **Server-side de-dup** — stable `external_id` (`chatId:msg.id`) means
retries don't
  duplicate in Front.
- **Fire-and-forget** — sync failures log to Sentry, never break the
chat; `isSyncing`
resets on rehydration so the next `onFinish` retries the same delta.
Message and lifecycle
syncs use separate guards (`isSyncing` / `isLifecycleSyncing`) so an
in-flight message
  sync can't drop an escalate/resolve.
- **Lifecycle queued until the conversation exists** — if a lifecycle
transition is requested
before the initial message sync has returned a `frontConversationId`,
it's stored as
`pendingLifecycleStatus` and flushed once the id is assigned, rather
than dropped.
- **Tools return immediately** — the lifecycle tools return a stub to
the AI SDK; the real
Front call happens in `onFinish`, keeping async I/O out of the tool
execute path.
- **XML seed stripped before sync** — only the user's actual `<message>`
is sent to Front
  (or dropped entirely if the form already created the conversation).

## Changes

| Area | File(s) |
| --- | --- |
| Support form state | `SupportForm.state.ts` — `threadRef` /
`frontConversationId` on `SubmittedSupportRequest` |
| Support form submit | `support-ticket-send.ts` — sends `threadRef`,
reads `conversationId` |
| Support form UI | `SupportFormV3.tsx` — generates `threadRef`, stores
`conversationId` |
| AI assistant state | `ai-assistant-state.tsx` — `SupportChatMetadata`,
`setSupportLifecycleStatus`, `onFinish` wiring, tool handling |
| Message sync | `state/ai-chat-front-sync.ts` — delta tracking, message
filtering, initial vs. incremental |
| API data layer | `data/feedback/ai-chat-front-sync.ts` — typed
platform-client wrappers for the three conversation endpoints |
| Support tools | `lib/ai/tools/support-tools.ts` — `escalate_to_human`,
`resolve_support_conversation` |
| Tool integration | `lib/ai/tool-filter.ts`, `tools/index.ts`,
`generate-assistant-response.ts` |
| Success card | `SupportAssistantSuccessCardContent.tsx` — tags chat on
first engagement |
| Assistant panel UI | `AIAssistant.tsx` — Escalate/Resolve buttons,
disabled input on closed chats, support placeholders |



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

## Summary by CodeRabbit

- **New Features**
  - Support chats now include “Escalate to human” and “Resolve” actions.
- Support submissions can be associated with a stable Front thread via a
generated `threadRef`, preserving linkage across follow-ups.
- AI assistant responses and input hints adapt when support mode is
active.

- **Bug Fixes**
- Improved support chat state management and lifecycle handling to keep
conversation metadata and message history synchronized more reliably
with Front.

- **Chores**
- Added/updated coverage to reflect the new support-chat state and
syncing behavior.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: Alaister Young <10985857+alaister@users.noreply.github.com>
2026-07-08 12:41:53 +02:00

656 lines
24 KiB
TypeScript

import type { UIMessage as MessageType } from '@ai-sdk/react'
import { useChat } from '@ai-sdk/react'
import { lastAssistantMessageIsCompleteWithApprovalResponses } from 'ai'
import { LOCAL_STORAGE_KEYS, useFlag } from 'common'
import { useParams, useSearchParamsShallow } from 'common/hooks'
import { AnimatePresence, motion } from 'framer-motion'
import { Eraser, Pencil, X } from 'lucide-react'
import { useRouter } from 'next/router'
import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
import { Button, cn, KeyboardShortcut } from 'ui'
import { Admonition } from 'ui-patterns/admonition'
import { AlertError } from '../AlertError'
import { ButtonTooltip } from '../ButtonTooltip'
import { ErrorBoundary } from '../ErrorBoundary/ErrorBoundary'
import { ASSISTANT_ERRORS } from './AiAssistant.constants'
import type { SqlSnippet } from './AIAssistant.types'
import {
hasPendingToolApproval,
onErrorChat,
resolvePendingToolApprovalsAsDenied,
} from './AIAssistant.utils'
import { AIAssistantHeader } from './AIAssistantHeader'
import { AIOnboarding } from './AIOnboarding'
import { AssistantChatForm } from './AssistantChatForm'
import {
Conversation,
ConversationContent,
ConversationScrollButton,
} from './elements/Conversation'
import { Message } from './Message'
import { Markdown } from '@/components/interfaces/Markdown'
import { SIDEBAR_KEYS } from '@/components/layouts/ProjectLayout/LayoutSidebar/LayoutSidebarProvider'
import { useCheckOpenAIKeyQuery } from '@/data/ai/check-api-key-query'
import { useRateMessageMutation } from '@/data/ai/rate-message-mutation'
import { useTablesQuery } from '@/data/tables/tables-query'
import { useCheckEntitlements } from '@/hooks/misc/useCheckEntitlements'
import { useLocalStorageQuery } from '@/hooks/misc/useLocalStorage'
import { useOrgAiOptInLevel } from '@/hooks/misc/useOrgOptedIntoAi'
import { useSelectedOrganizationQuery } from '@/hooks/misc/useSelectedOrganization'
import { useSelectedProjectQuery } from '@/hooks/misc/useSelectedProject'
import { getParallelApprovalIdsToReject } from '@/lib/ai/message-utils'
import {
DEFAULT_ASSISTANT_BASE_MODEL_ID,
defaultAssistantModelId,
isAssistantBaseModelId,
isKnownAssistantModelId,
} from '@/lib/ai/model.utils'
import { IS_PLATFORM } from '@/lib/constants'
import { uuidv4 } from '@/lib/helpers'
import { useTrack } from '@/lib/telemetry/track'
import type { AssistantModel } from '@/state/ai-assistant-state'
import { useAiAssistantState, useAiAssistantStateSnapshot } from '@/state/ai-assistant-state'
import { SHORTCUT_IDS } from '@/state/shortcuts/registry'
import { useShortcut } from '@/state/shortcuts/useShortcut'
import { useSidebarManagerSnapshot } from '@/state/sidebar-manager-state'
import { useSqlEditorV2StateSnapshot } from '@/state/sql-editor/sql-editor-state'
interface AIAssistantProps {
initialMessages?: MessageType[] | undefined
className?: string
}
export const AIAssistant = ({ className }: AIAssistantProps) => {
const router = useRouter()
const { id: entityId } = useParams()
const { data: project } = useSelectedProjectQuery()
const searchParams = useSearchParamsShallow()
const { data: selectedOrganization, isPending: isLoadingOrganization } =
useSelectedOrganizationQuery()
useShortcut(SHORTCUT_IDS.AI_ASSISTANT_CANCEL_EDIT, () => cancelEdit())
const disablePrompts = useFlag('disableAssistantPrompts')
const { snippets } = useSqlEditorV2StateSnapshot()
const snap = useAiAssistantStateSnapshot()
const state = useAiAssistantState()
const { activeSidebar, closeSidebar } = useSidebarManagerSnapshot()
const { hasAccess: hasAccessToAdvanceModel, isLoading: isLoadingEntitlements } =
useCheckEntitlements('assistant.advance_model')
const selectedModel = useMemo<AssistantModel>(() => {
// While entitlements are loading, use the stored model without enforcing access
if (isLoadingEntitlements) {
return snap.model ?? DEFAULT_ASSISTANT_BASE_MODEL_ID
}
const defaultModel = defaultAssistantModelId(hasAccessToAdvanceModel)
const model = snap.model ?? defaultModel
if (!isKnownAssistantModelId(model)) return defaultModel
if (!hasAccessToAdvanceModel && !isAssistantBaseModelId(model)) {
return DEFAULT_ASSISTANT_BASE_MODEL_ID
}
return model
}, [isLoadingEntitlements, hasAccessToAdvanceModel, snap.model])
const [updatedOptInSinceMCP] = useLocalStorageQuery(
LOCAL_STORAGE_KEYS.AI_ASSISTANT_MCP_OPT_IN,
false
)
const inputRef = useRef<HTMLTextAreaElement>(null)
const { aiOptInLevel, isHipaaProjectDisallowed } = useOrgAiOptInLevel()
const showMetadataWarning =
IS_PLATFORM &&
!!selectedOrganization &&
(aiOptInLevel === 'disabled' || aiOptInLevel === 'schema')
// Add a ref to store the last user message
const lastUserMessageRef = useRef<MessageType | null>(null)
// Keep latest selected organization to avoid stale values in useChat transport
const selectedOrganizationRef = useRef(selectedOrganization)
useEffect(() => {
selectedOrganizationRef.current = selectedOrganization
}, [selectedOrganization])
const [value, setValue] = useState<string>(snap.initialInput || '')
const [editingMessageId, setEditingMessageId] = useState<string | null>(null)
const [isResubmitting, setIsResubmitting] = useState(false)
const [messageRatings, setMessageRatings] = useState<Record<string, 'positive' | 'negative'>>({})
const { data: check, isSuccess } = useCheckOpenAIKeyQuery()
const isApiKeySet = !!check?.hasKey
const { mutateAsync: rateMessage } = useRateMessageMutation()
const isInSQLEditor = router.pathname.includes('/sql/[id]')
const snippet = snippets[entityId ?? '']
const snippetContent = snippet?.snippet?.content?.unchecked_sql
const { data: tables } = useTablesQuery(
{
projectRef: project?.ref,
connectionString: project?.connectionString,
schema: 'public',
},
{ enabled: isApiKeySet }
)
const currentTable = tables?.find((t) => t.id.toString() === entityId)
const currentSchema = searchParams?.get('schema') ?? 'public'
// Update context in state
useEffect(() => {
state.setContext({
projectRef: project?.ref,
orgSlug: selectedOrganizationRef.current?.slug,
connectionString: project?.connectionString ?? '',
})
}, [project?.ref, project?.connectionString, selectedOrganizationRef.current?.slug, state])
const track = useTrack()
const {
messages: chatMessages,
status: chatStatus,
error,
sendMessage,
setMessages,
addToolApprovalResponse,
stop,
regenerate,
} = useChat({
id: snap.activeChatId,
...(snap.activeChatId && snap.chatInstances[snap.activeChatId]
? { chat: snap.chatInstances[snap.activeChatId] }
: {}),
sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithApprovalResponses,
onError: onErrorChat,
})
const isChatLoading = chatStatus === 'submitted' || chatStatus === 'streaming'
const hasPendingApproval = hasPendingToolApproval(chatMessages)
const supportMetadata = snap.activeChat?.supportMetadata
const isSupportChat = !!supportMetadata?.isSupportChat
const isSupportChatClosed = isSupportChat && supportMetadata.lifecycleStatus !== 'bot_active'
const activeChatId = snap.activeChatId
const supportConversationId = supportMetadata?.frontConversationId
const isChatInputDisabled =
!isApiKeySet || disablePrompts || isLoadingOrganization || isSupportChatClosed
const deleteMessageFromHere = useCallback(
(messageId: string) => {
// Find the message index in current chatMessages
const messageIndex = chatMessages.findIndex((msg) => msg.id === messageId)
if (messageIndex === -1) return
if (isChatLoading) stop()
snap.deleteMessagesAfter(messageId, { includeSelf: true })
const updatedMessages = chatMessages.slice(0, messageIndex)
setMessages(updatedMessages)
},
[snap, setMessages, chatMessages, isChatLoading, stop]
)
const editMessage = useCallback(
(messageId: string) => {
const messageIndex = chatMessages.findIndex((msg) => msg.id === messageId)
if (messageIndex === -1) return
// Target message
const messageToEdit = chatMessages[messageIndex]
// Activate editing mode
setEditingMessageId(messageId)
const textContent =
messageToEdit.parts
?.filter((part) => part.type === 'text')
.map((part) => part.text)
.join('') ?? ''
setValue(textContent)
setTimeout(() => {
if (inputRef.current) {
inputRef?.current?.focus()
// [Joshen] This is just to make the cursor go to the end of the text when focusing
const val = inputRef.current.value
inputRef.current.value = ''
inputRef.current.value = val
}
}, 100)
},
[chatMessages, setValue]
)
const cancelEdit = useCallback(() => {
setEditingMessageId(null)
setValue('')
}, [setValue])
const handleRateMessage = useCallback(
async (messageId: string, rating: 'positive' | 'negative', reason?: string) => {
if (!project?.ref || !selectedOrganization?.slug) return
// Optimistically update UI
setMessageRatings((prev) => ({ ...prev, [messageId]: rating }))
try {
const result = await rateMessage({
rating,
messages: chatMessages,
messageId,
projectRef: project.ref,
orgSlug: selectedOrganization.slug,
reason,
spanId: state.messageSpanIds[messageId],
})
track('assistant_message_rating_submitted', {
rating,
category: result.category,
...(reason && { reason }),
chatId: state.activeChatId,
})
} catch (error) {
console.error('Failed to rate message:', error)
// Rollback on error
setMessageRatings((prev) => {
const { [messageId]: _, ...rest } = prev
return rest
})
}
},
[chatMessages, project?.ref, selectedOrganization?.slug, rateMessage, track, state]
)
const isContextExceededError =
error &&
(error.message?.includes('context_length_exceeded') ||
error.message?.includes('exceeds the context window'))
const renderedMessages = useMemo(
() =>
chatMessages.map((message, index) => {
const isBeingEdited = editingMessageId === message.id
const isAfterEditedMessage = editingMessageId
? chatMessages.findIndex((m) => m.id === editingMessageId) < index
: false
const isLastMessage = index === chatMessages.length - 1
return (
<Message
id={message.id}
key={message.id}
message={message}
isLoading={chatStatus === 'submitted' || chatStatus === 'streaming'}
readOnly={message.role === 'user'}
addToolApprovalResponse={addToolApprovalResponse}
onDelete={deleteMessageFromHere}
onEdit={editMessage}
isAfterEditedMessage={isAfterEditedMessage}
isBeingEdited={isBeingEdited}
onCancelEdit={cancelEdit}
isLastMessage={isLastMessage}
onRate={handleRateMessage}
rating={messageRatings[message.id] ?? null}
/>
)
}),
[
chatMessages,
deleteMessageFromHere,
editMessage,
cancelEdit,
editingMessageId,
chatStatus,
addToolApprovalResponse,
handleRateMessage,
messageRatings,
]
)
const hasMessages = chatMessages.length > 0
const sendMessageToAssistant = (finalContent: string) => {
if (editingMessageId) {
// Handling when the user is in edit mode
// delete the message(s) from the chat just like the delete button
setIsResubmitting(true)
deleteMessageFromHere(editingMessageId)
setEditingMessageId(null)
}
const payload = {
role: 'user',
createdAt: new Date(),
parts: [{ type: 'text', text: finalContent }],
id: uuidv4(),
} as MessageType
snap.clearSqlSnippets()
lastUserMessageRef.current = payload
if (hasPendingApproval && !editingMessageId) {
setMessages(resolvePendingToolApprovalsAsDenied(chatMessages))
}
sendMessage(payload, {
body: {
schema: currentSchema,
table: currentTable?.name,
},
})
setValue('')
if (finalContent.includes('Help me to debug')) {
track('assistant_debug_submitted', { chatId: snap.activeChatId })
} else {
track('assistant_prompt_submitted', { chatId: snap.activeChatId })
}
}
const handleClearMessages = () => {
if (isChatLoading) stop()
snap.clearMessages()
setMessages([])
lastUserMessageRef.current = null
setEditingMessageId(null)
}
useEffect(() => {
// Keep "Thinking" visible while stopping and resubmitting during edit
// Only clear once the new response actually starts streaming (or errors)
if (isResubmitting && (chatStatus === 'streaming' || !!error)) {
setIsResubmitting(false)
}
}, [isResubmitting, chatStatus, error])
useEffect(() => {
// Approval-required tools can't run in parallel. Auto-deny extras so the model reissues them sequentially.
for (const id of getParallelApprovalIdsToReject(chatMessages)) {
addToolApprovalResponse?.({
id,
approved: false,
reason:
'Only one approval-required tool call is allowed per turn. Please reissue this tool call after the current one completes.',
})
}
}, [chatMessages, addToolApprovalResponse])
useEffect(() => {
setValue(snap.initialInput || '')
if (inputRef.current && snap.initialInput) {
inputRef.current.focus()
inputRef.current.setSelectionRange(snap.initialInput.length, snap.initialInput.length)
}
}, [snap.initialInput])
useEffect(() => {
const isOpen = activeSidebar?.id === SIDEBAR_KEYS.AI_ASSISTANT
if (isOpen && isInSQLEditor && !!snippetContent) {
snap.setSqlSnippets([{ label: 'Current Query', content: snippetContent }])
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [activeSidebar?.id, isInSQLEditor, snippetContent])
return (
<ErrorBoundary
message="Something went wrong with the AI Assistant"
sentryContext={{
component: 'AIAssistant',
feature: 'AI Assistant Panel',
projectRef: project?.ref,
organizationSlug: selectedOrganization?.slug,
}}
actions={[
{
label: 'Clear messages and refresh',
onClick: () => {
handleClearMessages()
window.location.reload()
},
},
]}
>
<div className={cn('flex bg-card flex-col h-full w-full md:h-full max-h-dvh', className)}>
<AIAssistantHeader
isChatLoading={isChatLoading}
onNewChat={snap.newChat}
onCloseAssistant={() => closeSidebar(SIDEBAR_KEYS.AI_ASSISTANT)}
showMetadataWarning={showMetadataWarning}
updatedOptInSinceMCP={updatedOptInSinceMCP}
isHipaaProjectDisallowed={isHipaaProjectDisallowed}
aiOptInLevel={aiOptInLevel}
/>
{hasMessages ? (
<Conversation className={cn('flex-1')}>
<ConversationContent className="w-full px-7 py-8 mb-10">
{renderedMessages}
{error && (
<>
<AlertError
error={
isContextExceededError
? ASSISTANT_ERRORS['context-exceeded']
: IS_PLATFORM
? ASSISTANT_ERRORS['default']
: error
}
showErrorPrefix={false}
showInstructions={false}
subject="Sorry, I'm having trouble responding right now."
additionalActions={
<div className="flex items-center gap-x-2 mr-auto">
{isContextExceededError ? (
<Button
variant="default"
size="tiny"
onClick={() => snap.newChat()}
className="text-xs"
>
New chat
</Button>
) : (
<>
<Button
variant="default"
size="tiny"
onClick={() => regenerate()}
className="text-xs"
>
Retry
</Button>
<ButtonTooltip
variant="default"
size="tiny"
onClick={handleClearMessages}
className="w-7 h-7"
icon={<Eraser />}
tooltip={{ content: { side: 'bottom', text: 'Clear messages' } }}
/>
</>
)}
</div>
}
/>
</>
)}
{isChatLoading && (
<motion.span
animate={{ opacity: [1, 0] }}
transition={{ duration: 1, repeat: Infinity, ease: 'linear' }}
className="inline-block w-1.5 h-4 bg-foreground-lighter mt-4"
/>
)}
<p className="text-center text-xs text-foreground-muted mt-6">
Supabase AI may not always produce correct answers. Double check responses.
</p>
</ConversationContent>
<ConversationScrollButton />
</Conversation>
) : (
<AIOnboarding
sqlSnippets={snap.sqlSnippets as SqlSnippet[] | undefined}
suggestions={
snap.suggestions as
| { title?: string; prompts?: { label: string; description: string }[] }
| undefined
}
onValueChange={(val) => setValue(val)}
onFocusInput={() => inputRef.current?.focus()}
/>
)}
<AnimatePresence>
{editingMessageId && (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
exit={{ opacity: 0 }}
className="pointer-events-none z-10 -mt-24"
>
<div className="h-24 w-full bg-linear-to-t from-background to-transparent relative">
<motion.div
className="absolute left-1/2 z-20 bottom-8 pointer-events-auto"
variants={{
hidden: { y: 5, opacity: 0 },
show: { y: 0, opacity: 1 },
}}
transition={{ duration: 0.1 }}
initial="hidden"
animate="show"
exit="hidden"
>
<div className="-translate-x-1/2 bg-alternative dark:bg-muted border rounded-md px-3 py-2 min-w-[180px] flex items-center justify-between gap-x-2">
<div className="flex items-center gap-x-2 text-sm text-foreground">
<Pencil size={14} />
<span>Editing message</span>
</div>
<ButtonTooltip
variant="outline"
size="tiny"
icon={<X size={14} />}
onClick={cancelEdit}
className="w-6 h-6 p-0"
title="Cancel editing"
aria-label="Cancel editing"
tooltip={{
content: { side: 'top', text: <KeyboardShortcut keys={['Meta', 'Esc']} /> },
}}
/>
</div>
</motion.div>
</div>
</motion.div>
)}
</AnimatePresence>
<div className="px-3 pb-3 z-20 relative">
{isSupportChat && !isSupportChatClosed && (
<div className="mb-3">
<div className="mb-3 border-t" />
<div className="flex items-center gap-2">
<Button
variant="outline"
size="tiny"
disabled={!activeChatId || !supportConversationId}
onClick={() =>
activeChatId && state.setSupportLifecycleStatus(activeChatId, 'escalated')
}
>
Escalate to human
</Button>
<Button
variant="outline"
size="tiny"
disabled={!activeChatId || !supportConversationId}
onClick={() =>
activeChatId && state.setSupportLifecycleStatus(activeChatId, 'user_resolved')
}
>
Resolve
</Button>
</div>
</div>
)}
{disablePrompts && (
<Admonition
showIcon={false}
type="default"
title="Assistant has been temporarily disabled"
description="We're currently looking into getting it back online"
/>
)}
{isSuccess && !isApiKeySet && (
<Admonition
type="default"
title="OpenAI API key not set"
description={
<Markdown
content={
'Add your `OPENAI_API_KEY` to your environment variables to use the AI Assistant.'
}
/>
}
/>
)}
<AssistantChatForm
textAreaRef={inputRef}
className={cn(
'z-20 [&>form>textarea]:text-base [&>form>textarea]:md:text-sm [&>form>textarea]:border [&>form>textarea]:rounded-md [&>form>textarea]:outline-hidden! [&>form>textarea]:ring-offset-0! [&>form>textarea]:ring-0!'
)}
loading={isChatLoading}
isEditing={!!editingMessageId}
disabled={isChatInputDisabled}
placeholder={
hasMessages
? isSupportChat
? 'Share details so the assistant can help with your support request...'
: 'Ask a follow up question...'
: (snap.sqlSnippets ?? [])?.length > 0
? 'Ask a question or make a change...'
: isSupportChat
? 'Describe your support issue...'
: 'Chat to Postgres...'
}
value={value}
onValueChange={(e) => setValue(e.target.value)}
onSubmit={(finalMessage) => {
sendMessageToAssistant(finalMessage)
}}
onStop={() => {
stop()
// to save partial responses from the AI
const lastMessage = chatMessages[chatMessages.length - 1]
if (lastMessage && lastMessage.role === 'assistant') {
state.updateMessage(lastMessage)
}
}}
sqlSnippets={snap.sqlSnippets as SqlSnippet[] | undefined}
onRemoveSnippet={(index) => {
const newSnippets = [...(snap.sqlSnippets ?? [])]
newSnippets.splice(index, 1)
snap.setSqlSnippets(newSnippets)
}}
includeSnippetsInMessage={aiOptInLevel !== 'disabled'}
selectedModel={selectedModel}
onSelectModel={(model) => snap.setModel(model)}
/>
</div>
</div>
</ErrorBoundary>
)
}
export { SupportAssistantSuccessCardContent } from './SupportAssistantSuccessCardContent'