mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-10-08 18:57:47 +08:00
fix(server): count quota by the key actually used, and more review fixes
Found by the PR review, each with a test that failed first: - Quota: any key header skipped it, even one the provider never reads (x-aws-access-key-id with OpenAI), so a request ran on the server's key without being counted. The check now runs after the model is resolved and uses usesServerCredentials. On main already. - usesServerCredentials read the raw base URL; "/" cleans up to none, so an Ollama request ran on the server's key past the server-model check. - SGLang's default 127.0.0.1:8000 only fills the settings form. Chat and the model list used it as a real address, so the server called its own machine even with private URLs blocked. Now a base URL is required. - With a user's OpenAI key and no base URL, the SDK read the server's OPENAI_BASE_URL. The official endpoint is now passed. On main already. - The Test button refused nothing on the server's keys (Ollama Cloud), and a 15 s timeout reported "connected, no tool call". - The model list for Ollama without a base URL came from ollama.com while chat went to the server's Ollama. - Bedrock's "Too many tokens, please wait" counted as context too long. - On the server's keys the provider's error text stays in the server log; it can name the server's AWS account, role or internal hosts. - Desktop app: the preset keys are the user's own (NEXT_AI_DRAWIO_DESKTOP), so Max Output Tokens can be raised and keyless models in settings work again. A launch that found the remembered port taken no longer replaces it, which hid the user's chats and settings for good.
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@@ -2,14 +2,15 @@ import { streamText, tool } from "ai"
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import { NextResponse } from "next/server"
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import { z } from "zod"
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import { checkAccessCode } from "@/lib/access-code"
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import { getAIModel } from "@/lib/ai-providers"
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import { getAIModel, usesServerCredentials } from "@/lib/ai-providers"
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import { classifyLLMError } from "@/lib/llm-errors"
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import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
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import type { ProviderName } from "@/lib/types/model-config"
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export const runtime = "nodejs"
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interface ValidateRequest {
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provider: string
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provider: ProviderName
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apiKey: string
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baseUrl?: string
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modelId: string
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@@ -93,6 +94,22 @@ export async function POST(req: Request) {
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{ status: 400 },
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)
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}
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// The Test button checks the user's own provider. On the server's
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// keys (Ollama Cloud without a key or URL) anyone could run any model.
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if (
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usesServerCredentials(provider, {
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apiKey,
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baseUrl,
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awsAccessKeyId,
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awsSecretAccessKey,
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vertexApiKey,
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})
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) {
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return NextResponse.json(
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{ valid: false, error: "API key is required" },
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{ status: 400 },
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)
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}
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// The same model the chat would use. A client base URL makes it
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// refuse redirects to internal hosts.
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@@ -130,6 +147,14 @@ export async function POST(req: Request) {
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let finishReason: string | undefined
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for await (const part of result.fullStream) {
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if (part.type === "error") throw part.error
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// The timeout ends the stream with an abort part, not an error
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if (part.type === "abort") {
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const timeout = new Error(
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`The model did not answer within ${TEST_TIMEOUT_MS / 1000} s.`,
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)
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timeout.name = "TimeoutError"
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throw timeout
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}
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if (part.type === "tool-call") {
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calledTool = true
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break
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