mirror of
https://github.com/supermemoryai/supermemory.git
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6834bc6876
- Created a new `useOrgOnboarding` hook that uses `org.metadata.isOnboarded` to track onboarding state - Updated the home page to conditionally use either the old localStorage-based onboarding or the new DB-backed onboarding based on feature flag - Added a "Restart Onboarding" option in the user dropdown menu - Improved the onboarding chat sidebar with per-link loading indicators - Enhanced the X/Twitter research API to better handle different URL formats - Updated the integrations step to use the new onboarding completion method - Added `updateOrgMetadata` function to the auth context for easier metadata updates
74 lines
2.2 KiB
TypeScript
74 lines
2.2 KiB
TypeScript
import { xai } from "@ai-sdk/xai"
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import { generateText } from "ai"
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interface ResearchRequest {
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xUrl: string
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name?: string
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email?: string
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}
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function extractHandle(url: string): string {
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const cleaned = url
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.toLowerCase()
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.replace("https://x.com/", "")
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.replace("https://twitter.com/", "")
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.replace("http://x.com/", "")
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.replace("http://twitter.com/", "")
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.replace("@", "")
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return (cleaned.split("/")[0] ?? cleaned).split("?")[0] ?? cleaned
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}
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function finalPrompt(handle: string, userContext: string) {
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return `You are researching a user based on their X/Twitter profile to help personalize their experience.
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X Handle: @${handle}${userContext}
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Please analyze this X/Twitter profile and provide a comprehensive but concise summary of the user. Include:
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- Professional background and current role (if available)
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- Key interests and topics they engage with
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- Notable projects, achievements, or affiliations
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- Their expertise areas
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- Any other relevant information that helps understand who they are
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Format the response as clear, readable paragraphs. Focus on factual information from their profile. If certain information is not available, skip that section rather than speculating.`
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}
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export async function POST(req: Request) {
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try {
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const { xUrl, name, email }: ResearchRequest = await req.json()
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if (!xUrl?.trim()) {
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return Response.json(
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{ error: "X/Twitter URL or handle is required" },
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{ status: 400 },
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)
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}
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const handle = extractHandle(xUrl)
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const contextParts: string[] = []
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if (name) contextParts.push(`Name: ${name}`)
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if (email) contextParts.push(`Email: ${email}`)
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const userContext =
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contextParts.length > 0
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? `\n\nAdditional context about the user:\n${contextParts.join("\n")}`
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: ""
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const { text } = await generateText({
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model: xai.responses("grok-4-fast"),
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prompt: finalPrompt(handle, userContext),
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tools: {
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web_search: xai.tools.webSearch(),
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x_search: xai.tools.xSearch({
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allowedXHandles: [handle],
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}),
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},
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})
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return Response.json({ text })
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} catch (error) {
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console.error("Research API error:", error)
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return Response.json({ error: "Internal server error" }, { status: 500 })
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}
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}
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