Files
next-ai-draw-io/app/api/validate-diagram/route.ts
T
dayuan.jiang 4731394f32 fix(security): check request sources, regions and endpoints
- Bedrock: a request's AWS region must be a region name. It becomes part
  of the endpoint's host name, so a value such as
  "us-east-1.attacker.example/" sent the server's bearer token or signed
  request to another host.
- MCP preview server: only the preview page itself (Origin equal to the
  Host) or a non-browser client may call it; a page on another localhost
  port could replace the diagram with a plain text POST. History builds
  its thumbnails element by element and shows only SVG data images, so a
  stored value can no longer run script in the preview.
- chat, validate-model, validate-diagram, provider-models and parse-url
  take JSON bodies only, so another website cannot make the user's own
  server (the desktop app, a local install) run models with their keys;
  the desktop app also refuses a foreign Host (DNS rebinding).
- The model list reads at most 2 MB, also through the Gateway SDK, and
  answers only with its own error texts: the URL is the caller's and may
  be an internal address.
- An admin panel provider with its own key and no URL no longer inherits
  the global <P>_BASE_URL, which may be a proxy for another key; OpenAI
  then gets the official endpoint, as its Test. Azure keeps the server's
  resource.
2026-10-05 17:02:06 +09:00

143 lines
4.6 KiB
TypeScript

/**
* API endpoint for VLM-based diagram validation.
* Accepts a PNG image and streams validation results using useObject-compatible format.
*/
import { Output, streamText } from "ai"
import { checkAccessCode, rejectCrossSite } from "@/lib/access-code"
import { getValidationModel } from "@/lib/ai-providers"
import { VALIDATION_SYSTEM_PROMPT } from "@/lib/validation-prompts"
import {
type ValidationResult,
ValidationResultSchema,
} from "@/lib/validation-schema"
export const maxDuration = 30
// Data URL length cap (~3.75 MB of PNG), well above a normal diagram capture
const MAX_IMAGE_DATA_LENGTH = 5 * 1024 * 1024
interface ValidateDiagramRequest {
imageData: string // Base64 PNG data URL
sessionId?: string
}
// Default valid result for disabled/error cases
const DEFAULT_VALID_RESULT: ValidationResult = {
valid: true,
issues: [],
suggestions: [],
}
/** A fixed result in the text format useObject reads */
function createStreamingResponse(result: ValidationResult): Response {
return new Response(JSON.stringify(result), {
headers: { "Content-Type": "text/plain; charset=utf-8" },
})
}
export async function POST(req: Request): Promise<Response> {
const crossSite = rejectCrossSite(req)
if (crossSite) return crossSite
// Uses the server's model credentials, so require the access code
const accessError = checkAccessCode(req)
if (accessError) return accessError
try {
// Check if VLM validation is enabled (default: true)
const enableValidation = process.env.ENABLE_VLM_VALIDATION !== "false"
if (!enableValidation) {
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
const body: ValidateDiagramRequest = await req.json()
const { imageData, sessionId } = body
if (!imageData) {
return Response.json(
{ error: "Missing imageData" },
{ status: 400 },
)
}
// Validate image data format
if (
!imageData.startsWith("data:image/png;base64,") &&
!imageData.startsWith("data:image/")
) {
return Response.json(
{ error: "Invalid image data format" },
{ status: 400 },
)
}
if (imageData.length > MAX_IMAGE_DATA_LENGTH) {
return Response.json(
{ error: "Image data too large" },
{ status: 413 },
)
}
// Get the validation model
let model
try {
model = getValidationModel()
} catch (error) {
console.warn(
"[validate-diagram] Validation model not available:",
error,
)
// Return valid if no vision model is configured
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
// Parse timeout with validation (minimum 1000ms, default 10000ms)
const timeout =
Math.max(
1000,
parseInt(process.env.VALIDATION_TIMEOUT || "10000", 10),
) || 10000
// Stream the VLM response for useObject consumption
const result = streamText({
model,
output: Output.object({ schema: ValidationResultSchema }),
system: VALIDATION_SYSTEM_PROMPT,
messages: [
{
role: "user",
content: [
{
type: "image",
image: imageData,
},
{
type: "text",
text: "Please analyze this diagram for visual quality issues.",
},
],
},
],
maxOutputTokens: 1024,
abortSignal: AbortSignal.timeout(timeout),
onFinish: ({ output }) => {
if (sessionId && output) {
console.log(
`[validate-diagram] Session ${sessionId}: valid=${output.valid}, issues=${output.issues?.length ?? 0}`,
)
}
},
})
return result.toTextStreamResponse()
} catch (error) {
// Log with session context if available
const errorMessage =
error instanceof Error ? error.message : String(error)
console.error("[validate-diagram] Error:", errorMessage)
// On error, return valid to not block the user
return createStreamingResponse(DEFAULT_VALID_RESULT)
}
}