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{/* Hero Section */}

SupaInt

Integrate anything

Our AI agent builds integrations into third-party platforms at your command. Just describe what you need, and watch it come to life.

{/* Integration Form */}

) } [V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isMerged="true" import * as React from "react" import { cn } from "@/lib/utils" const Textarea = React.forwardRef>( ({ className, ...props }, ref) => { return (

)
  },
)
Textarea.displayName = "Textarea"

export { Textarea }
[V0_FILE]typescriptreact:file="components/ui/badge.tsx" isMerged="true"
import type * as React from "react"
import { cva, type VariantProps } from "class-variance-authority"

import { cn } from "@/lib/utils"

const badgeVariants = cva(
  "inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-hidden focus:ring-2 focus:ring-ring focus:ring-offset-2",
  {
    variants: {
      variant: {
        default: "border-transparent bg-primary text-primary-foreground hover:bg-primary/80",
        secondary: "border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80",
        destructive: "border-transparent bg-destructive text-destructive-foreground hover:bg-destructive/80",
        outline: "text-foreground",
      },
    },
    defaultVariants: {
      variant: "default",
    },
  },
)

export interface BadgeProps extends React.HTMLAttributes<HTMLDivElement>, VariantProps<typeof badgeVariants> {}

function Badge({ className, variant, ...props }: BadgeProps) {
  return <div className={cn(badgeVariants({ variant }), className)} {...props} />
}

export { Badge, badgeVariants }
[V0_FILE]typescript:file="app/api/travrse/dispatch/route.ts" isMerged="true"
export async function POST(req: Request) {
  try {
    const apiKey = process.env.TRAVRSE_API_KEY

if (!apiKey) {
      return new Response(JSON.stringify({ error: "TRAVRSE_API_KEY not configured" }), {
        status: 500,
        headers: { "Content-Type": "application/json" },
      })
    }

const body = await req.json()

const response = await fetch("https://api.travrse.ai/v1/dispatch", {
      method: "POST",
      headers: {
        Authorization: `Bearer ${apiKey}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify(body),
    })

if (!response.ok) {
      const errorText = await response.text()
      console.error("Travrse API error:", errorText)
      return new Response(JSON.stringify({ error: "Failed to dispatch to Travrse API" }), {
        status: response.status,
        headers: { "Content-Type": "application/json" },
      })
    }

// Stream the response back to the client
    return new Response(response.body, {
      status: response.status,
      headers: {
        "Content-Type": "text/event-stream",
        "Cache-Control": "no-cache",
        Connection: "keep-alive",
      },
    })
  } catch (error) {
    console.error("Error in Travrse dispatch:", error)
    return new Response(JSON.stringify({ error: "Internal server error" }), {
      status: 500,
      headers: { "Content-Type": "application/json" },
    })
  }
}
[V0_FILE]json:file="package.json" isMerged="true"
{
  "name": "my-v0-project",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start",
    "lint": "eslint ."
  },
  "dependencies": {
    "@hookform/resolvers": "^3.10.0",
    "@radix-ui/react-accordion": "1.2.2",
    "@radix-ui/react-alert-dialog": "1.1.4",
    "@radix-ui/react-aspect-ratio": "1.1.1",
    "@radix-ui/react-avatar": "1.1.2",
    "@radix-ui/react-checkbox": "1.1.3",
    "@radix-ui/react-collapsible": "1.1.2",
    "@radix-ui/react-context-menu": "2.2.4",
    "@radix-ui/react-dialog": "1.1.4",
    "@radix-ui/react-dropdown-menu": "2.1.4",
    "@radix-ui/react-hover-card": "1.1.4",
    "@radix-ui/react-label": "2.1.1",
    "@radix-ui/react-menubar": "1.1.4",
    "@radix-ui/react-navigation-menu": "1.2.3",
    "@radix-ui/react-popover": "1.1.4",
    "@radix-ui/react-progress": "1.1.1",
    "@radix-ui/react-radio-group": "1.2.2",
    "@radix-ui/react-scroll-area": "1.2.2",
    "@radix-ui/react-select": "2.1.4",
    "@radix-ui/react-separator": "1.1.1",
    "@radix-ui/react-slider": "1.2.2",
    "@radix-ui/react-slot": "1.1.1",
    "@radix-ui/react-switch": "1.1.2",
    "@radix-ui/react-tabs": "1.1.2",
    "@radix-ui/react-toast": "1.2.4",
    "@radix-ui/react-toggle": "1.1.1",
    "@radix-ui/react-toggle-group": "1.1.1",
    "@radix-ui/react-tooltip": "1.1.6",
    "@vercel/analytics": "1.3.1",
    "autoprefixer": "^10.4.20",
    "class-variance-authority": "^0.7.1",
    "clsx": "^2.1.1",
    "cmdk": "1.0.4",
    "date-fns": "4.1.0",
    "embla-carousel-react": "8.5.1",
    "input-otp": "1.4.1",
    "lucide-react": "^0.454.0",
    "next": "15.5.4",
    "next-themes": "^0.4.6",
    "react": "19.1.0",
    "react-day-picker": "9.8.0",
    "react-dom": "19.1.0",
    "react-hook-form": "^7.60.0",
    "react-resizable-panels": "^2.1.7",
    "recharts": "2.15.4",
    "sonner": "^1.7.4",
    "tailwind-merge": "^3.3.1",
    "tailwindcss-animate": "^1.0.7",
    "vaul": "^0.9.9",
    "zod": "3.25.76"
  },
  "devDependencies": {
    "@tailwindcss/postcss": "^4.1.9",
    "@types/node": "^22",
    "@types/react": "^18",
    "@types/react-dom": "^18",
    "postcss": "^8.5",
    "tailwindcss": "^4.1.9",
    "tw-animate-css": "1.3.3",
    "typescript": "^5"
  }
}
[V0_FILE]typescriptreact:file="components/integration-form.tsx" isEdit="true"
"use client"

import type React from "react"

import { useState } from "react"
import { Button } from "@/components/ui/button"
import { Textarea } from "@/components/ui/textarea"
import { Card } from "@/components/ui/card"
import { ArrowUp, Loader2 } from "lucide-react"
import { StreamingResponse } from "@/components/streaming-response"

interface StreamStep {
  id: string
  name: string
  type: string
  content: string
  timestamp: number
}

export function IntegrationForm() {
  const [prompt, setPrompt] = useState("")
  const [isStreaming, setIsStreaming] = useState(false)
  const [streamSteps, setStreamSteps] = useState<Map<string, StreamStep>>(new Map())

const handleSubmit = async (e: React.FormEvent) => {
    e.preventDefault()
    if (!prompt.trim() || isStreaming) return

setIsStreaming(true)
    setStreamSteps(new Map())

try {
      const response = await fetch("/api/travrse/dispatch", {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
        },
        body: JSON.stringify({
          record: {
            name: "Integration Request",
            type: "standalone",
            metadata: {
              message: prompt,
            },
          },
          flow: {
            name: "Integration Builder",
            description: "AI agent that builds integrations",
            steps: [
              {
                id: "step_integration_builder",
                name: "Build Integration",
                type: "prompt",
                enabled: true,
                config: {
                  user_prompt: "{{_record.metadata.message}}",
                  system_prompt:
                    "You are SupaInt, an expert AI agent that helps users build integrations into third-party platforms. Analyze the user request and provide a detailed plan for building the integration, including necessary APIs, authentication methods, and implementation steps.",
                  model: "meta/llama3.1-8b-instruct-free",
                  response_format: "text",
                  output_variable: "integration_plan",
                },
              },
            ],
          },
          options: {
            stream_response: true,
            record_mode: "virtual",
            flow_mode: "virtual",
          },
        }),
      })

if (!response.ok) {
        throw new Error("Failed to start integration build")
      }

const reader = response.body?.getReader()
      const decoder = new TextDecoder()

if (!reader) {
        throw new Error("No response body")
      }

let buffer = ""

while (true) {
        const { done, value } = await reader.read()
        if (done) break

buffer += decoder.decode(value, { stream: true })
        const lines = buffer.split("\n")

buffer = lines.pop() || ""

for (const line of lines) {
          if (line.startsWith("data: ")) {
            const dataStr = line.slice(6).trim()
            if (!dataStr) continue

try {
              const data = JSON.parse(dataStr)

if (data.type === "step_chunk" && data.text && data.id) {
                setStreamSteps((prev) => {
                  const newMap = new Map(prev)
                  const existing = newMap.get(data.id)

if (existing) {
                    // Append text to existing step
                    newMap.set(data.id, {
                      ...existing,
                      content: existing.content + data.text,
                      timestamp: Date.now(),
                    })
                  } else {
                    // Create new step entry
                    newMap.set(data.id, {
                      id: data.id,
                      name: data.name || data.id,
                      type: "step_chunk",
                      content: data.text,
                      timestamp: Date.now(),
                    })
                  }

return newMap
                })
              }

if (data.type === "step_start" && data.id) {
                setStreamSteps((prev) => {
                  const newMap = new Map(prev)
                  newMap.set(data.id, {
                    id: data.id,
                    name: data.name || data.id,
                    type: "step_start",
                    content: "",
                    timestamp: Date.now(),
                  })
                  return newMap
                })
              }

if (data.type === "tool_call" && data.tool) {
                const toolId = `tool_${Date.now()}`
                setStreamSteps((prev) => {
                  const newMap = new Map(prev)
                  newMap.set(toolId, {
                    id: toolId,
                    name: data.tool.name,
                    type: "tool_call",
                    content: JSON.stringify(data.tool.input, null, 2),
                    timestamp: Date.now(),
                  })
                  return newMap
                })
              }
            } catch (e) {
              console.error("[v0] Failed to parse SSE data:", e)
            }
          }
        }
      }
    } catch (error) {
      console.error("[v0] Error:", error)
      const errorId = "error_" + Date.now()
      setStreamSteps((prev) => {
        const newMap = new Map(prev)
        newMap.set(errorId, {
          id: errorId,
          name: "Error",
          type: "error",
          content: "Failed to process request. Please try again.",
          timestamp: Date.now(),
        })
        return newMap
      })
    } finally {
      setIsStreaming(false)
    }
  }

return (
    <div className="space-y-6">
      {streamSteps.size === 0 && (
        <Card className="p-6 bg-card/50 backdrop-blur-sm border-2">
          <form onSubmit={handleSubmit} className="space-y-4">
            <div className="relative">
              <Textarea
                value={prompt}
                onChange={(e) => setPrompt(e.target.value)}
                placeholder="Ask SupaInt to create an integration to..."
                className="min-h-[120px] pr-14 text-base resize-none bg-muted/50 border-border/50 focus:border-primary"
                disabled={isStreaming}
              />
              <Button
                type="submit"
                size="icon"
                disabled={!prompt.trim() || isStreaming}
                className="absolute bottom-3 right-3 rounded-full h-10 w-10"
              >
                {isStreaming ? <Loader2 className="h-5 w-5 animate-spin" /> : <ArrowUp className="h-5 w-5" />}
              </Button>
            </div>
          </form>
        </Card>
      )}

{streamSteps.size > 0 && <StreamingResponse steps={streamSteps} isStreaming={isStreaming} />}
    </div>
  )
}
[V0_FILE]typescriptreact:file="components/streaming-response.tsx" isEdit="true"
"use client"

import { Card } from "@/components/ui/card"
import { Badge } from "@/components/ui/badge"
import { useEffect, useRef } from "react"

interface StreamStep {
  id: string
  name: string
  type: string
  content: string
  timestamp: number
}

interface StreamingResponseProps {
  steps: Map<string, StreamStep>
  isStreaming: boolean
}

export function StreamingResponse({ steps, isStreaming }: StreamingResponseProps) {
  const endRef = useRef<HTMLDivElement>(null)

useEffect(() => {
    endRef.current?.scrollIntoView({ behavior: "smooth" })
  }, [steps])

const getTypeColor = (type: string) => {
    switch (type) {
      case "step_start":
      case "step_chunk":
        return "bg-primary/10 text-primary border-primary/20"
      case "tool_call":
        return "bg-accent/10 text-accent border-accent/20"
      case "error":
        return "bg-destructive/10 text-destructive border-destructive/20"
      default:
        return "bg-muted text-muted-foreground border-border"
    }
  }

const getTypeLabel = (type: string) => {
    switch (type) {
      case "step_start":
      case "step_chunk":
        return "Building"
      case "tool_call":
        return "Tool"
      case "error":
        return "Error"
      default:
        return type
    }
  }

const stepsArray = Array.from(steps.values())

return (
    <Card className="p-6 bg-card/50 backdrop-blur-sm border-2 space-y-4">
      <div className="flex items-center justify-between">
        <h3 className="text-lg font-semibold">Integration Build Progress</h3>
        {isStreaming && (
          <Badge variant="outline" className="animate-pulse">
            Streaming...
          </Badge>
        )}
      </div>

@custom-variant dark (&:is(.dark *));

:root {
  /* Updated theme for modern AI platform aesthetic with blue-purple gradient */
  --background: oklch(0.98 0.01 264);
  --foreground: oklch(0.15 0.02 264);
  --card: oklch(0.96 0.01 264);
  --card-foreground: oklch(0.15 0.02 264);
  --popover: oklch(0.98 0.01 264);
  --popover-foreground: oklch(0.15 0.02 264);
  --primary: oklch(0.55 0.22 264);
  --primary-foreground: oklch(0.98 0.01 264);
  --secondary: oklch(0.92 0.02 264);
  --secondary-foreground: oklch(0.15 0.02 264);
  --muted: oklch(0.94 0.01 264);
  --muted-foreground: oklch(0.5 0.02 264);
  --accent: oklch(0.65 0.2 290);
  --accent-foreground: oklch(0.98 0.01 264);
  --destructive: oklch(0.577 0.245 27.325);
  --destructive-foreground: oklch(0.98 0.01 264);
  --border: oklch(0.88 0.02 264);
  --input: oklch(0.88 0.02 264);
  --ring: oklch(0.55 0.22 264);
  --chart-1: oklch(0.55 0.22 264);
  --chart-2: oklch(0.65 0.2 290);
  --chart-3: oklch(0.6 0.18 240);
  --chart-4: oklch(0.7 0.15 280);
  --chart-5: oklch(0.5 0.2 250);
  --radius: 0.75rem;
  --sidebar: oklch(0.98 0.01 264);
  --sidebar-foreground: oklch(0.15 0.02 264);
  --sidebar-primary: oklch(0.55 0.22 264);
  --sidebar-primary-foreground: oklch(0.98 0.01 264);
  --sidebar-accent: oklch(0.92 0.02 264);
  --sidebar-accent-foreground: oklch(0.15 0.02 264);
  --sidebar-border: oklch(0.88 0.02 264);
  --sidebar-ring: oklch(0.55 0.22 264);
}

.dark {
  /* Dark mode with deep blue-purple background */
  --background: oklch(0.12 0.03 264);
  --foreground: oklch(0.95 0.01 264);
  --card: oklch(0.16 0.03 264);
  --card-foreground: oklch(0.95 0.01 264);
  --popover: oklch(0.14 0.03 264);
  --popover-foreground: oklch(0.95 0.01 264);
  --primary: oklch(0.6 0.22 264);
  --primary-foreground: oklch(0.98 0.01 264);
  --secondary: oklch(0.2 0.03 264);
  --secondary-foreground: oklch(0.95 0.01 264);
  --muted: oklch(0.18 0.03 264);
  --muted-foreground: oklch(0.6 0.02 264);
  --accent: oklch(0.65 0.2 290);
  --accent-foreground: oklch(0.98 0.01 264);
  --destructive: oklch(0.5 0.2 27);
  --destructive-foreground: oklch(0.98 0.01 264);
  --border: oklch(0.24 0.03 264);
  --input: oklch(0.24 0.03 264);
  --ring: oklch(0.6 0.22 264);
  --chart-1: oklch(0.6 0.22 264);
  --chart-2: oklch(0.65 0.2 290);
  --chart-3: oklch(0.55 0.18 240);
  --chart-4: oklch(0.7 0.15 280);
  --chart-5: oklch(0.5 0.2 250);
  --sidebar: oklch(0.14 0.03 264);
  --sidebar-foreground: oklch(0.95 0.01 264);
  --sidebar-primary: oklch(0.6 0.22 264);
  --sidebar-primary-foreground: oklch(0.98 0.01 264);
  --sidebar-accent: oklch(0.2 0.03 264);
  --sidebar-accent-foreground: oklch(0.95 0.01 264);
  --sidebar-border: oklch(0.24 0.03 264);
  --sidebar-ring: oklch(0.6 0.22 264);
}

@theme inline {
  --font-sans: "Geist", "Geist Fallback";
  --font-mono: "Geist Mono", "Geist Mono Fallback";
  --color-background: var(--background);
  --color-foreground: var(--foreground);
  --color-card: var(--card);
  --color-card-foreground: var(--card-foreground);
  --color-popover: var(--popover);
  --color-popover-foreground: var(--popover-foreground);
  --color-primary: var(--primary);
  --color-primary-foreground: var(--primary-foreground);
  --color-secondary: var(--secondary);
  --color-secondary-foreground: var(--secondary-foreground);
  --color-muted: var(--muted);
  --color-muted-foreground: var(--muted-foreground);
  --color-accent: var(--accent);
  --color-accent-foreground: var(--accent-foreground);
  --color-destructive: var(--destructive);
  --color-destructive-foreground: var(--destructive-foreground);
  --color-border: var(--border);
  --color-input: var(--input);
  --color-ring: var(--ring);
  --color-chart-1: var(--chart-1);
  --color-chart-2: var(--chart-2);
  --color-chart-3: var(--chart-3);
  --color-chart-4: var(--chart-4);
  --color-chart-5: var(--chart-5);
  --radius-sm: calc(var(--radius) - 4px);
  --radius-md: calc(var(--radius) - 2px);
  --radius-lg: var(--radius);
  --radius-xl: calc(var(--radius) + 4px);
  --color-sidebar: var(--sidebar);
  --color-sidebar-foreground: var(--sidebar-foreground);
  --color-sidebar-primary: var(--sidebar-primary);
  --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
  --color-sidebar-accent: var(--sidebar-accent);
  --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
  --color-sidebar-border: var(--sidebar-border);
  --color-sidebar-ring: var(--sidebar-ring);
}

@layer base {
  * {
    @apply border-border outline-ring/50;
  }
  body {
    @apply bg-background text-foreground;
  }
}
[V0_FILE]typescriptreact:file="app/page.tsx" isMerged="true"
import { IntegrationForm } from "@/components/integration-form"

export default function Home() {
  return (
    <main className="min-h-screen relative overflow-hidden">
      <div className="absolute inset-0 bg-gradient-to-br from-primary/20 via-accent/10 to-background -z-10" />

<div className="container mx-auto px-4 py-12 md:py-20">
        <div className="max-w-4xl mx-auto space-y-12">
          {/* Hero Section */}
          <div className="text-center space-y-6">
            <div className="inline-block">
              <h1 className="text-5xl md:text-7xl font-bold tracking-tight text-balance">SupaInt</h1>
              <div className="h-1 bg-gradient-to-r from-primary to-accent rounded-full mt-2" />
            </div>

<h2 className="text-3xl md:text-5xl font-bold text-foreground/90 text-balance">Integrate anything</h2>

<p className="text-lg md:text-xl text-muted-foreground max-w-2xl mx-auto text-pretty leading-relaxed">
              Our AI agent builds integrations into third-party platforms at your command. Just describe what you need,
              and watch it come to life.
            </p>
          </div>

{/* Integration Form */}
          <IntegrationForm />
        </div>
      </div>
    </main>
  )
}
[V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isMerged="true"
import * as React from "react"

import { cn } from "@/lib/utils"

const Textarea = React.forwardRef<HTMLTextAreaElement, React.ComponentProps<"textarea">>(
  ({ className, ...props }, ref) => {
    return (
      <textarea
        className={cn(
          "flex min-h-[80px] w-full rounded-md border border-input bg-background px-3 py-2 text-base ring-offset-background placeholder:text-muted-foreground focus-visible:outline-hidden focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 md:text-sm",
          className,
        )}
        ref={ref}
        {...props}
      />
    )
  },
)
Textarea.displayName = "Textarea"

export { Textarea }
[V0_FILE]typescriptreact:file="components/ui/badge.tsx" isMerged="true"
import type * as React from "react"
import { cva, type VariantProps } from "class-variance-authority"

import { cn } from "@/lib/utils"

export interface BadgeProps extends React.HTMLAttributes<HTMLDivElement>, VariantProps<typeof badgeVariants> {}

function Badge({ className, variant, ...props }: BadgeProps) {
  return <div className={cn(badgeVariants({ variant }), className)} {...props} />
}

if (!apiKey) {
      return new Response(JSON.stringify({ error: "TRAVRSE_API_KEY not configured" }), {
        status: 500,
        headers: { "Content-Type": "application/json" },
      })
    }

const body = await req.json()

import type React from "react"

interface StreamStep {
  id: string
  name: string
  type: string
  content: string
  timestamp: number
}

const handleSubmit = async (e: React.FormEvent) => {
    e.preventDefault()
    if (!prompt.trim() || isStreaming) return

setIsStreaming(true)
    setStreamSteps(new Map())

if (!response.ok) {
        throw new Error("Failed to start integration build")
      }

const reader = response.body?.getReader()
      const decoder = new TextDecoder()

if (!reader) {
        throw new Error("No response body")
      }

let buffer = ""

while (true) {
        const { done, value } = await reader.read()
        if (done) break

buffer += decoder.decode(value, { stream: true })
        const lines = buffer.split("\n")

buffer = lines.pop() || ""

for (const line of lines) {
          if (line.startsWith("data: ")) {
            const dataStr = line.slice(6).trim()
            if (!dataStr) continue

try {
              const data = JSON.parse(dataStr)

return newMap
                })
              }

import { Card } from "@/components/ui/card"
import { Badge } from "@/components/ui/badge"
import { useEffect, useRef } from "react"

interface StreamStep {
  id: string
  name: string
  type: string
  content: string
  timestamp: number
}

interface StreamingResponseProps {
  steps: Map<string, StreamStep>
  isStreaming: boolean
}

export function StreamingResponse({ steps, isStreaming }: StreamingResponseProps) {
  const endRef = useRef<HTMLDivElement>(null)

useEffect(() => {
    endRef.current?.scrollIntoView({ behavior: "smooth" })
  }, [steps])

const stepsArray = Array.from(steps.values())

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}3d:o4e48,107:["$","$L113",null,{"value":{"cacheData":{}},"children":["$","$L109",null,{"params":{"chatId":"qLKijufVvqm"},"promises":{"attributes":"$@114","externalMeta":"$@115","latest":"$@116","messagesRange":"$@117","messages":"$@118","template":"$@119","gitStatus":"$@11a"},"children":["$","$L11c",null,{"chatId":"qLKijufVvqm","children":["$","$L11d",null,{"seedOnlyKeys":["@\"chat:state\",\"qLKijufVvqm\","],"data":{"block:output:initial":{"id":"b_Y8DA3o0Z3o7","result":"$@11e"},"@\"block:mappings\",\"qLKijufVvqm\",":{"sqlBlockExecutionStates":"$Q11f","blocksForkedFrom":"$Q120","blocksTemplateIds":"$Q121","blocksCreatedAt":"$Q122","blocksShared":"$Q123","blocksDeployed":"$Q124","blocksSubdomains":"$Q125","brandedBlocks":"$Q126","unlistedBlocks":"$Q127","blockOutputs":"$Q128"},"@\"chat:state\",\"qLKijufVvqm\",":{"messages":[{"content":{"type":"parts","parts":[],"version":1},"role":"user","id":"vpy9VQ2hMIGyiErBG5XGZ27gmaSDT2QK","type":"message","isContentLoading":true,"authorId":"","createdAt":"$D2025-10-18T22:19:39.918Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"Loading..."]]]],[1,{"title":"Loading message"}]]},"loadingBlocks":[{"blockId":"b_VfNFHmCCRuN","type":"code-project","isVersioned":true}],"isContentLoading":true,"role":"assistant","id":"YuFduTO4H0FDkiw6RilPmbGPZib6rvY0","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"vpy9VQ2hMIGyiErBG5XGZ27gmaSDT2QK","type":"message","createdAt":"$D2025-10-18T22:19:39.919Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"i am seeing the travrse api request succeed, but the results are not streaming into the ui. i would like them to stream into the front end of the site, in place of the form once it starts streaming"}],"version":1},"role":"user","id":"NmGRgIGYrjI9QkX2Rwi5kZXne1HjRLUG","attachments":[],"parentId":"YuFduTO4H0FDkiw6RilPmbGPZib6rvY0","type":"message","authorId":"63GZgHMyiL84PrrSJubnqCTK","createdAt":"$D2025-10-18T22:27:42.620Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":4.694117647058824,"thought":"The user is reporting that the Travrse API request is succeeding, but the streaming results are not appearing in the UI. They want the streaming results to replace the form once streaming starts.\n\nLet me think about what might be wrong:\n\n- The API route is likely working and returning SSE data\n- The client-side code might not be properly handling the streaming response\n- The UI might not be switching from the form to the streaming display\n\nI need to:\n\n- Read the current implementation files to see what's happening\n- Check the integration-form.tsx to see how it's handling the streaming response\n- Check the streaming-response.tsx to see if it's properly parsing the SSE events\n- Make sure the form is being hidden and replaced with the streaming display\n\nLet me read the relevant files first."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["p",{},["text",{},"Let me investigate the current implementation to fix the streaming issue."]],["AssistantMessageContentPart",{"part":{"createdAt":1760826470592,"finishedAt":1760826472942,"lastPartSentAt":1760826472921,"taskNameActive":"Reading integration form","taskNameComplete":"Read integration form","toolCallId":"toolu_011LxeSte2Z4N53wTDTf76bw","id":"2hqwatLDHviP71nf","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"components/integration-form.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1760826471495,"finishedAt":1760826472942,"lastPartSentAt":1760826472921,"taskNameActive":"Reading streaming component","taskNameComplete":"Read streaming component","toolCallId":"toolu_01QuDioJNQzvdLocsvNGqTM3","id":"9WlQydnZAAgYVc9T","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"components/streaming-response.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1760826472495,"finishedAt":1760826472942,"lastPartSentAt":1760826472921,"taskNameActive":"Reading API route","taskNameComplete":"Read API route","toolCallId":"toolu_01BjZ1WKLfRoQxXhw9mM9gMh","id":"ySkGiyzac72SyIRO","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"app/api/travrse/dispatch/route.ts"}]}}],["p",{},["text",{},"Now I can see the issue. The SSE parsing logic needs to be fixed, and I need to hide the form when streaming starts. Let me update the components:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_9r6NiwumTru","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[],"source":"[V0_FILE]tsx:file=\"empty.tsx\"\n...","sourceVersionKey":"v_1_e0c2s","needsBlockSource":true,"isAllImages":false,"blockId":"b_9r6NiwumTru","meta":{"type":"code-project","id":"supaint-landing","taskNameActive":"Fixing streaming display","taskNameComplete":"Fixed streaming display","project":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing streaming display","taskNameComplete":"Fixed streaming display"},"id":"block-b_9r6NiwumTru"}],["p",{},["text",{},"I've fixed the streaming implementation with two key improvements: First, I added proper SSE parsing with a buffer to handle incomplete chunks and correctly parse the event types from the Travrse API (step_chunk, step_start, tool_call). Second, I made the form hide once streaming starts and data begins appearing, so the streaming response takes over the entire space as you requested."]],["AssistantMessageContentPart",{"part":{"createdAt":1760826497209,"finishedAt":1760826510009,"lastPartSentAt":1760826509981,"id":"UjmOesmahHRkC5Fl","type":"task-diagnostics-v1","parts":[{"type":"fetching-diagnostics"},{"type":"diagnostics-passed"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"WcTi8SDlfHM58aO2dbFkA0xHEBNJ17gI","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"NmGRgIGYrjI9QkX2Rwi5kZXne1HjRLUG","type":"message","creditCost":0.090735,"workMetrics":{"diffMap":{"components/integration-form.tsx":{"addedLines":53,"removedLines":35}},"linesRead":309,"agentActions":3},"createdAt":"$D2025-10-18T22:27:42.621Z","updatedAt":"$D2025-10-18T22:28:30.159Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"i still don't see the stream in the frontend. here is the text/event-stream that i get from the API (i see it in the console)\n\n"}],"version":1},"role":"user","id":"qBFCA6Jqb2wlTO7pV2F4Skqz4vqIgWPu","attachments":[{"url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/stripe-HI3oX9ci7uyZBvXpIxCYEtulsV7bNE.ts","name":"stripe.ts","size":105489,"contentType":"text/*"}],"parentId":"WcTi8SDlfHM58aO2dbFkA0xHEBNJ17gI","type":"message","authorId":"63GZgHMyiL84PrrSJubnqCTK","createdAt":"$D2025-10-18T22:38:04.373Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1760827085860,"finishedAt":1760827085860,"lastPartSentAt":1760827085860,"id":"w2enUXSFo5WtQVje","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1760827085860,"finishedAt":1760827085944,"lastPartSentAt":1760827085922,"taskNameActive":"Reading stripe.ts","taskNameComplete":"Read stripe.ts","toolCallId":"tool_a0cE8GOgxuQJBmOA","id":"ne6jt5is5jqQJoV0","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/text_attachments/stripe-HI3oX.ts"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":4.976470588235294,"thought":"The user has provided the actual SSE stream data from the Travrse API. Looking at the format, I can see:\n\n- Each line starts with `data: ` followed by JSON\n- The event types include:\n\n- `flow_start` - when the flow begins\n- `step_start` - when a step starts\n- `step_chunk` - streaming text chunks (this is what we want to display)\n- `step_complete` - when a step completes\n- `flow_complete` - when the entire flow completes\n- The `step_chunk` events have a `text` field that contains the actual streaming content\n\nThe issue is that my current SSE parsing logic is not correctly handling this format. I need to:\n\n- Parse each line that starts with `data: `\n- Extract the JSON after `data: `\n- Handle the different event types properly\n- Display the streaming text from `step_chunk` events\n\nLet me also check the debug logs to see what's happening."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["AssistantMessageContentPart",{"part":{"createdAt":1760827098120,"finishedAt":1760827098861,"lastPartSentAt":1760827098841,"taskNameActive":"Reading debug logs","taskNameComplete":"Read debug logs","toolCallId":"toolu_01CJaXv55aYN6SkMDmRCUvYE","id":"5vr58ciuEzS1Jckc","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/text_attachments/v0_debug_logs-f0e92-f0e92656c6cf4093a1d7c8e400d783ef7a3da7497df144285ab564b3bd24d3c4.txt"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-1","parts":[{"type":"thinking-end","duration":4.064705882352941,"thought":"Perfect! Now I can see what's happening. The debug logs show that the SSE events ARE being received and parsed correctly on the client side. The logs show:\n\nSo the parsing is working! The issue must be that the events are being received but not being added to the state properly, or the UI is not rendering them.\n\nLooking back at my previous code, I see the issue. In the `integration-form.tsx`, I'm logging the events but I'm not actually updating the state to display them. The `setEvents` is being called, but the component might not be re-rendering properly, or the streaming response component isn't being shown.\n\nLet me re-read the current integration-form.tsx to see what's happening."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-1"}],["AssistantMessageContentPart",{"part":{"createdAt":1760827107204,"finishedAt":1760827109300,"lastPartSentAt":1760827109280,"taskNameActive":"Reading form component","taskNameComplete":"Read form component","toolCallId":"toolu_01TJLvRdF5kE68cBfLCauxRX","id":"tMeWmt5a1htrTABb","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"components/integration-form.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1760827107482,"finishedAt":1760827109301,"lastPartSentAt":1760827109280,"taskNameActive":"Reading page component","taskNameComplete":"Read page component","toolCallId":"toolu_01CpMzK9LPa8MwdaC4nv8J26","id":"YCX9w3tMqxH36QIz","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"app/page.tsx"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-2","parts":[{"type":"thinking-end","duration":3.6588235294117646,"thought":"I found the issue! Looking at the code in `integration-form.tsx`, the problem is clear:\n\n- The SSE events ARE being received (as shown in the debug logs)\n- The parsing is checking for `data.event === \"step_chunk\"` but the actual event type in the Travrse API is `data.type === \"step_chunk\"` (not `data.event`)\n\nLooking at the actual SSE data:\n\nThe field is `type`, not `event`. And the content is in the `text` field, not `content`.\n\nSo I need to fix the parsing logic to:\n\n- Check `data.type` instead of `data.event`\n- Use `data.text` instead of `data.content`\n- Also fix the other event type checks\n\nLet me fix this now."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-2"}],["p",{},["text",{},"Now I see the issue! The SSE events are being received correctly (as shown in the debug logs), but the parsing logic is checking for the wrong field names. The Travrse API uses "],["code",{},"type"],["text",{}," instead of "],["code",{},"event"],["text",{},", and "],["code",{},"text"],["text",{}," instead of "],["code",{},"content"],["text",{},". Let me fix this:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_EeuF484qAN3","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[],"source":"[V0_FILE]tsx:file=\"empty.tsx\"\n...","sourceVersionKey":"v_1_07ri1","needsBlockSource":true,"isAllImages":false,"blockId":"b_EeuF484qAN3","meta":{"type":"code-project","id":"supaint-landing","taskNameActive":"Fixing SSE parsing","taskNameComplete":"Fixed SSE parsing","project":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing SSE parsing","taskNameComplete":"Fixed SSE parsing"},"id":"block-b_EeuF484qAN3"}],["p",{},["text",{},"Perfect! I've fixed the SSE parsing logic to match the actual Travrse API response format. The key changes were using "],["code",{},"data.type"],["text",{}," instead of "],["code",{},"data.event"],["text",{}," and "],["code",{},"data.text"],["text",{}," instead of "],["code",{},"data.content"],["text",{},". Now the streaming text chunks will properly display in the UI as they arrive from the API."]],["AssistantMessageContentPart",{"part":{"createdAt":1760827126171,"finishedAt":1760827138593,"lastPartSentAt":1760827138561,"id":"lSxpSHUXHDefSn1N","type":"task-diagnostics-v1","parts":[{"type":"fetching-diagnostics"},{"type":"diagnostics-passed"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"n8wE1YEivTpjsiXYgOEK4eiFPbVmfjF7","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"qBFCA6Jqb2wlTO7pV2F4Skqz4vqIgWPu","type":"message","creditCost":0.2665785,"workMetrics":{"diffMap":{"components/integration-form.tsx":{"addedLines":21,"removedLines":9}},"linesRead":1922,"agentActions":4},"createdAt":"$D2025-10-18T22:38:04.374Z","updatedAt":"$D2025-10-18T22:38:58.715Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"update the stream output to group the chunks by their id. it should stream in the characters like a sentence, not each with a new line"}],"version":1},"role":"user","id":"G9hY8y4bH4BxGLM4bno12xH0vsd5HgX8","attachments":[],"parentId":"n8wE1YEivTpjsiXYgOEK4eiFPbVmfjF7","type":"message","authorId":"63GZgHMyiL84PrrSJubnqCTK","createdAt":"$D2025-10-18T22:43:37.857Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":3.488235294117647,"thought":"The user wants me to update the streaming output to:\n\n- Group chunks by their ID (so all chunks from the same step are grouped together)\n- Stream characters like a sentence (continuously appending text) rather than showing each chunk on a new line\n\nCurrently, the streaming response is probably showing each chunk as a separate item. Instead, I should accumulate text for each step ID and display it as a continuous stream of text.\n\nLet me read the current streaming-response.tsx component to see how it's rendering the events, and then update it to group by ID and display as continuous text."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["AssistantMessageContentPart",{"part":{"createdAt":1760827425414,"finishedAt":1760827426795,"lastPartSentAt":1760827426775,"taskNameActive":"Reading streaming component","taskNameComplete":"Read streaming component","toolCallId":"toolu_01TBHg9gghL4S5FCjD26yXQQ","id":"wT7CXDzc8LGy9qJC","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"components/streaming-response.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1760827425990,"finishedAt":1760827426795,"lastPartSentAt":1760827426775,"taskNameActive":"Reading form component","taskNameComplete":"Read form component","toolCallId":"toolu_01G1xgNsn5PrhkzJ1ewLCTGG","id":"rGpc4whyglft4Wu6","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"components/integration-form.tsx"}]}}],["p",{},["text",{},"Now I can see the issue. The current implementation creates a new array item for each chunk, which displays them on separate lines. I need to group chunks by their step ID and accumulate the text continuously. Let me update both components:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_Y8DA3o0Z3o7","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"components/integration-form.tsx","baseName":"integration-form.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"components/streaming-response.tsx","baseName":"streaming-response.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$129","latestDeploymentInfo":"$124:2:1","lastDeployedAt":"2025-10-18T22:58:53.465Z","sourceVersionKey":"v_1_bjvk0","needsBlockSource":false,"isAllImages":false,"blockId":"b_Y8DA3o0Z3o7","meta":{"type":"code-project","id":"supaint-landing","taskNameActive":"Grouping stream by ID","taskNameComplete":"Grouped stream by ID","project":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Grouping stream by ID","taskNameComplete":"Grouped stream by ID"},"id":"block-b_Y8DA3o0Z3o7"}],["p",{},["text",{},"I've updated the streaming implementation to group chunks by their step ID. Now all text chunks from the same step are accumulated into a single continuous stream of text, displaying like a sentence being typed out rather than separate lines. The content updates in real-time as new chunks arrive, creating a smooth streaming experience."]],["AssistantMessageContentPart",{"part":{"createdAt":1760827459682,"finishedAt":1760827474282,"lastPartSentAt":1760827474253,"id":"f9kBPL3Ww1mq1yS2","type":"task-diagnostics-v1","parts":[{"type":"fetching-diagnostics"},{"type":"diagnostics-passed"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"Y2VoDhaQbfuLB6d8OvLpYA3tFTeeuUke","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"G9hY8y4bH4BxGLM4bno12xH0vsd5HgX8","type":"message","creditCost":0.1055805,"workMetrics":{"diffMap":{"components/integration-form.tsx":{"addedLines":68,"removedLines":62},"components/streaming-response.tsx":{"addedLines":28,"removedLines":21}},"linesRead":290,"agentActions":2},"createdAt":"$D2025-10-18T22:43:37.858Z","updatedAt":"$D2025-10-18T22:44:34.401Z"}],"lastSyncedAt":1793481315172,"undo":null,"activeForkKey":["vpy9VQ2hMIGyiErBG5XGZ27gmaSDT2QK","YuFduTO4H0FDkiw6RilPmbGPZib6rvY0","NmGRgIGYrjI9QkX2Rwi5kZXne1HjRLUG","WcTi8SDlfHM58aO2dbFkA0xHEBNJ17gI","qBFCA6Jqb2wlTO7pV2F4Skqz4vqIgWPu","n8wE1YEivTpjsiXYgOEK4eiFPbVmfjF7","G9hY8y4bH4BxGLM4bno12xH0vsd5HgX8","Y2VoDhaQbfuLB6d8OvLpYA3tFTeeuUke"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"qLKijufVvqm\",":{"id":"b_Y8DA3o0Z3o7","meta":{"type":"code-project","id":"supaint-landing","taskNameActive":"Grouping stream by ID","taskNameComplete":"Grouped stream by ID","project":"Code"},"initial":true,"type":"code-project","messageId":"Y2VoDhaQbfuLB6d8OvLpYA3tFTeeuUke","language":"typescriptreact","source":"$12a","closed":true,"hasSourceBeenEdited":false,"lastDeployedAt":"2025-10-18T22:58:53.465Z","latestDeploymentInfo":"$124:2:1","isLoading":false,"needsBlockSource":false},"@\"chat:meta\",\"qLKijufVvqm\",":{"title":"Create SupaInt landing page","authorId":"63GZgHMyiL84PrrSJubnqCTK","ownerId":"team_yzpzM3OrnmzgZoNIwqb8iHCr","storageEntityType":null,"storageEntityId":null,"tailwindV4Default":true,"vercelProjectId":"prj_Ljykhz5OBpbknAEpcSwzSNSFURgr","canWriteToChat":false,"nextVersion15Default":true},"@\"chat:vm-mode\",\"qLKijufVvqm\",":false,"@\"chat:vercel-project\",\"qLKijufVvqm\",":"$@12b","@\"team:sensitive-environment-variable-policy\",\"qLKijufVvqm\",":"$@12c","@\"block-view\",\"qLKijufVvqm\",":true,"integrations:figma":"$@12d"},"children":["$L12e","$L12f","$L130","$L131","$L132"]}]}]}]}]
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