mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-10-09 19:19:50 +08:00
Found by the second PR review: - With AWS_BEARER_TOKEN_BEDROCK set on the server, a request with the user's AWS keys ran on the server's token: the Bedrock SDK prefers it. Checked with Bedrock: invalid user keys used to get an answer. - An OpenAI key with the official URL filled in (the settings form does that) went to the Responses API. Back to main's rule: a configured base URL uses Chat Completions. - A user's Ollama key went to the server's OLLAMA_BASE_URL, for chat and for the model list. Like every other provider, it goes to the user's base URL or Ollama Cloud. - The server's keyless Ollama and EdgeOne were not counted in the quota. - AI_MODEL models on the server's keys ran on any provider with a server key, not only on AI_PROVIDER. - A user's Azure key without a base URL used the server's resource name. - The admin panel's Test button failed whenever access codes were set. - DeepSeek's errors in the stream (plain text) were shown as they were, without a hint and also on the server's keys. Bedrock's throttling in the stream was not recognised as a rate limit. - The EdgeOne function accepted text/plain; x=application/json, which other sites can send without a CORS preflight. - Desktop app: a launch that found the old port taken for a moment (the previous version still quitting after an update) remembered the new port for good. The new port is kept only when Windows reserves the old one. A failed read of the presets file moved it aside as corrupt, and a save could then replace the presets. Switching presets on the same port now reloads the page. The dev launcher no longer misses a preset change made before or during a restart.
366 lines
13 KiB
TypeScript
366 lines
13 KiB
TypeScript
import { createOpenAI } from "@ai-sdk/openai"
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"
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import {
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getAIModel,
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getValidationModel,
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usesServerCredentials,
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} from "@/lib/ai-providers"
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const settings = vi.hoisted(() => ({ values: {} as Record<string, string> }))
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vi.mock("@/lib/admin/settings", () => ({
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loadSettings: () => settings.values,
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}))
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vi.mock("@ai-sdk/google-vertex", () => {
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const mockProviderFn = vi.fn(() => ({ modelId: "test-model" }))
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return { createVertex: vi.fn(() => mockProviderFn) }
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})
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vi.mock("@ai-sdk/openai", () => {
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const mockModel = { modelId: "test-model" }
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const mockProviderFn = vi.fn(() => mockModel) as any
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mockProviderFn.chat = vi.fn(() => mockModel)
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return {
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createOpenAI: vi.fn(() => mockProviderFn),
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openai: vi.fn(() => mockModel),
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}
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})
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vi.mock("@ai-sdk/amazon-bedrock", () => {
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const mockProviderFn = vi.fn(() => ({ modelId: "test-model" }))
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return { createAmazonBedrock: vi.fn(() => mockProviderFn) }
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})
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vi.mock("@aws-sdk/credential-providers", () => ({
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fromNodeProviderChain: vi.fn(() => "node-chain"),
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}))
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vi.mock("ollama-ai-provider-v2", () => {
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const mockProviderFn = vi.fn(() => ({ modelId: "test-model" }))
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return { createOllama: vi.fn(() => mockProviderFn) }
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})
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vi.mock("@openrouter/ai-sdk-provider", () => {
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const mockProviderFn = vi.fn(() => ({ modelId: "test-model" }))
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return { createOpenRouter: vi.fn(() => mockProviderFn) }
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})
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const ENV_KEYS = [
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"GOOGLE_VERTEX_API_KEY",
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"GOOGLE_VERTEX_BASE_URL",
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"OPENAI_API_KEY",
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"OPENAI_BASE_URL",
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"OPENROUTER_API_KEY",
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"ADMIN_OPENAI_API_KEY",
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"ADMIN_OPENROUTER_API_KEY",
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"OLLAMA_API_KEY",
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"ADMIN_AWS_ACCESS_KEY_ID",
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"ADMIN_AWS_SECRET_ACCESS_KEY",
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"ADMIN_AWS_REGION",
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"AWS_REGION",
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"AI_PROVIDER",
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"AI_MODEL",
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"VALIDATION_MODEL",
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"NEXT_AI_DRAWIO_DESKTOP",
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"SGLANG_API_KEY",
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"SGLANG_BASE_URL",
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"AZURE_RESOURCE_NAME",
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"OLLAMA_BASE_URL",
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]
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const savedEnv: Record<string, string | undefined> = {}
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beforeEach(() => {
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for (const key of ENV_KEYS) {
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savedEnv[key] = process.env[key]
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delete process.env[key]
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}
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settings.values = {}
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vi.clearAllMocks()
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})
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afterEach(() => {
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for (const key of ENV_KEYS) {
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if (savedEnv[key] === undefined) delete process.env[key]
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else process.env[key] = savedEnv[key]
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}
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})
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describe("Vertex AI key security", () => {
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it("never sends the server key to a client base URL", () => {
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process.env.GOOGLE_VERTEX_API_KEY = "server-vertex-key"
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// Any x-ai-api-key passes the outer guard; the branch must still refuse
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expect(() =>
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getAIModel({
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provider: "vertexai",
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apiKey: "x",
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baseUrl: "https://attacker.example",
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modelId: "gemini-2.5-flash",
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}),
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).toThrow("Vertex AI requires an API key")
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})
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it("sends the client key to the client base URL", async () => {
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process.env.GOOGLE_VERTEX_API_KEY = "server-vertex-key"
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const { createVertex } = await import("@ai-sdk/google-vertex")
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getAIModel({
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provider: "vertexai",
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vertexApiKey: "client-key",
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baseUrl: "https://my-proxy.example",
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modelId: "gemini-2.5-flash",
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})
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expect(createVertex).toHaveBeenCalledWith({
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apiKey: "client-key",
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baseURL: "https://my-proxy.example",
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})
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})
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it("does not send the client key to the server's base URL", async () => {
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process.env.GOOGLE_VERTEX_BASE_URL = "https://server-proxy.internal"
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const { createVertex } = await import("@ai-sdk/google-vertex")
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getAIModel({
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provider: "vertexai",
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vertexApiKey: "client-key",
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modelId: "gemini-2.5-flash",
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})
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expect(createVertex).toHaveBeenCalledWith({ apiKey: "client-key" })
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})
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it("still uses the server key and base URL without client overrides", async () => {
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process.env.GOOGLE_VERTEX_API_KEY = "server-vertex-key"
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process.env.GOOGLE_VERTEX_BASE_URL = "https://server-proxy.internal"
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const { createVertex } = await import("@ai-sdk/google-vertex")
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getAIModel({ provider: "vertexai", modelId: "gemini-2.5-flash" })
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expect(createVertex).toHaveBeenCalledWith({
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apiKey: "server-vertex-key",
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baseURL: "https://server-proxy.internal",
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})
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})
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})
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describe("Bedrock admin panel credentials", () => {
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it("uses the ADMIN_AWS_* keys when the client sends none", async () => {
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process.env.ADMIN_AWS_ACCESS_KEY_ID = "panel-id"
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process.env.ADMIN_AWS_SECRET_ACCESS_KEY = "panel-secret"
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process.env.ADMIN_AWS_REGION = "eu-west-1"
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process.env.AWS_REGION = "us-east-1"
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const { createAmazonBedrock } = await import("@ai-sdk/amazon-bedrock")
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getAIModel({ provider: "bedrock", modelId: "amazon.nova-lite-v1:0" })
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expect(createAmazonBedrock).toHaveBeenCalledWith({
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region: "eu-west-1",
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accessKeyId: "panel-id",
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secretAccessKey: "panel-secret",
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})
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})
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it("prefers the client's keys and region", async () => {
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process.env.ADMIN_AWS_ACCESS_KEY_ID = "panel-id"
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process.env.ADMIN_AWS_SECRET_ACCESS_KEY = "panel-secret"
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process.env.ADMIN_AWS_REGION = "eu-west-1"
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const { createAmazonBedrock } = await import("@ai-sdk/amazon-bedrock")
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getAIModel({
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provider: "bedrock",
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modelId: "amazon.nova-lite-v1:0",
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awsAccessKeyId: "client-id",
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awsSecretAccessKey: "client-secret",
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awsRegion: "ap-northeast-1",
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})
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expect(createAmazonBedrock).toHaveBeenCalledWith({
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region: "ap-northeast-1",
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accessKeyId: "client-id",
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secretAccessKey: "client-secret",
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// The SDK would otherwise use the server's AWS_BEARER_TOKEN_BEDROCK
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apiKey: "",
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})
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})
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it("falls back to the default AWS credential chain", async () => {
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process.env.AWS_REGION = "us-east-1"
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const { createAmazonBedrock } = await import("@ai-sdk/amazon-bedrock")
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getAIModel({ provider: "bedrock", modelId: "amazon.nova-lite-v1:0" })
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expect(createAmazonBedrock).toHaveBeenCalledWith({
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region: "us-east-1",
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credentialProvider: "node-chain",
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})
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})
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})
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describe("usesServerCredentials", () => {
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it("is true when no key comes with the request", () => {
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expect(usesServerCredentials("openai", {})).toBe(true)
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expect(usesServerCredentials("openai", { apiKey: "k" })).toBe(false)
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})
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it("looks at the credential each provider actually uses", () => {
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// A stray x-ai-api-key does not replace the IAM role or Vertex key
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expect(usesServerCredentials("bedrock", { apiKey: "x" })).toBe(true)
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expect(
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usesServerCredentials("bedrock", {
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awsAccessKeyId: "id",
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awsSecretAccessKey: "secret",
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}),
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).toBe(false)
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expect(usesServerCredentials("vertexai", { apiKey: "x" })).toBe(true)
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expect(usesServerCredentials("vertexai", { vertexApiKey: "k" })).toBe(
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false,
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)
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})
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it("treats keyless EdgeOne and local Ollama as free", () => {
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expect(usesServerCredentials("edgeone", {})).toBe(false)
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expect(usesServerCredentials("ollama", {})).toBe(false)
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expect(
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usesServerCredentials("ollama", {
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baseUrl: "http://localhost:11434",
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}),
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).toBe(false)
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process.env.OLLAMA_API_KEY = "server-ollama-key"
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expect(usesServerCredentials("ollama", {})).toBe(true)
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})
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})
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describe("server model apiKeyEnv", () => {
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it("uses the custom env var on the official OpenAI endpoint", async () => {
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process.env.ADMIN_OPENAI_API_KEY = "panel-key"
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const { createOpenAI, openai } = await import("@ai-sdk/openai")
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getAIModel({
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provider: "openai",
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modelId: "gpt-4o",
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apiKeyEnv: "ADMIN_OPENAI_API_KEY",
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})
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// The default instance would read OPENAI_API_KEY instead
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expect(openai).not.toHaveBeenCalled()
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expect(createOpenAI).toHaveBeenCalledWith({ apiKey: "panel-key" })
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})
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})
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describe("getValidationModel", () => {
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it("uses the admin panel default's ADMIN_ key", async () => {
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settings.values = {
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ADMIN_PROVIDERS: JSON.stringify([
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{
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id: "p1",
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provider: "openrouter",
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name: "My OpenRouter",
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apiKey: "panel-key",
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models: ["openai/gpt-4o"],
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isDefault: true,
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},
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]),
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}
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// What deriveEnvUpdates writes for that panel config
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process.env.AI_PROVIDER = "openrouter"
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process.env.AI_MODEL = "openai/gpt-4o"
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process.env.ADMIN_OPENROUTER_API_KEY = "panel-key"
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const { createOpenRouter } = await import("@openrouter/ai-sdk-provider")
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expect(() => getValidationModel()).not.toThrow()
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expect(createOpenRouter).toHaveBeenCalledWith({ apiKey: "panel-key" })
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})
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it("uses the standard env vars without a panel default", async () => {
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process.env.AI_PROVIDER = "openrouter"
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process.env.AI_MODEL = "openai/gpt-4o"
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process.env.OPENROUTER_API_KEY = "env-key"
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const { createOpenRouter } = await import("@openrouter/ai-sdk-provider")
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getValidationModel()
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expect(createOpenRouter).toHaveBeenCalledWith({ apiKey: "env-key" })
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})
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})
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describe("whose keys a request uses", () => {
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it("cleans the base URL like the request does", () => {
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// "/" and a pasted path clean up to no base URL: the server's Ollama
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process.env.OLLAMA_API_KEY = "server-ollama-key"
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expect(usesServerCredentials("ollama", { baseUrl: "/" })).toBe(true)
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expect(
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usesServerCredentials("ollama", { baseUrl: "/chat/completions" }),
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).toBe(true)
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})
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it("counts the desktop app's keys as the user's own", () => {
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// Electron passes the user's preset keys as server env vars
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process.env.NEXT_AI_DRAWIO_DESKTOP = "1"
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expect(usesServerCredentials("openai", {})).toBe(false)
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})
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it("sends a user's OpenAI key to the official endpoint", () => {
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// The SDK would otherwise read the server's OPENAI_BASE_URL
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process.env.OPENAI_BASE_URL = "https://operator-proxy.example.com/v1"
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getAIModel({
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provider: "openai",
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apiKey: "user-key",
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modelId: "gpt-5.5",
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})
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expect(createOpenAI).toHaveBeenLastCalledWith(
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expect.objectContaining({
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apiKey: "user-key",
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baseURL: "https://api.openai.com/v1",
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}),
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)
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// Still the Responses API, like without a base URL
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const provider = vi.mocked(createOpenAI).mock.results.at(-1)?.value
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expect(provider.chat).not.toHaveBeenCalled()
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})
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it("uses Chat Completions for any configured base URL", () => {
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// The settings form fills in the official URL for a new provider
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getAIModel({
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provider: "openai",
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apiKey: "user-key",
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baseUrl: "https://api.openai.com/v1",
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modelId: "gpt-5.5",
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})
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const provider = vi.mocked(createOpenAI).mock.results.at(-1)?.value
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expect(provider.chat).toHaveBeenCalledWith("gpt-5.5")
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})
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it("sends a user's Ollama key to Ollama Cloud, not the server's Ollama", async () => {
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process.env.OLLAMA_BASE_URL = "http://ollama.internal:11434/api"
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const { createOllama } = await import("ollama-ai-provider-v2")
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getAIModel({ provider: "ollama", apiKey: "user-key", modelId: "m" })
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expect(createOllama).toHaveBeenLastCalledWith(
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expect.objectContaining({ baseURL: "https://ollama.com/api" }),
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)
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// Without a key: the server's Ollama
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getAIModel({ provider: "ollama", modelId: "m" })
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expect(createOllama).toHaveBeenLastCalledWith(
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expect.objectContaining({
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baseURL: "http://ollama.internal:11434/api",
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}),
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)
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})
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it("needs a base URL with a user's Azure key", () => {
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// The SDK would otherwise read the server's AZURE_RESOURCE_NAME
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process.env.AZURE_RESOURCE_NAME = "operator-resource"
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expect(() =>
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getAIModel({ provider: "azure", apiKey: "k", modelId: "gpt-4o" }),
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).toThrow(/base URL/)
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})
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it("needs a base URL for SGLang instead of using 127.0.0.1", () => {
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expect(() =>
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getAIModel({ provider: "sglang", apiKey: "k", modelId: "m" }),
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).toThrow(/base URL/)
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})
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})
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