mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
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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.
199 lines
6.4 KiB
TypeScript
199 lines
6.4 KiB
TypeScript
// @vitest-environment node
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import { streamText } from "ai"
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import { afterEach, describe, expect, it, vi } from "vitest"
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import { POST as testModel } from "@/app/api/admin/test-model/route"
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import { POST as validateModel } from "@/app/api/validate-model/route"
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import { getAIModel } from "@/lib/ai-providers"
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// No saved admin providers
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vi.mock("@/lib/admin/settings", () => ({ loadSettings: () => ({}) }))
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// Treat every URL as public so no test hits DNS
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vi.mock("@/lib/ssrf-protection", async (importOriginal) => ({
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...(await importOriginal<typeof import("@/lib/ssrf-protection")>()),
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isPrivateUrl: async () => false,
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}))
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afterEach(() => {
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delete process.env.ALLOW_PRIVATE_URLS
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vi.unstubAllGlobals()
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})
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/** An OpenAI-compatible streaming reply made of the given deltas */
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function streamReply(...deltas: object[]) {
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const chunk = (delta: object, finish: string | null) =>
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`data: ${JSON.stringify({
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id: "c1",
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object: "chat.completion.chunk",
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created: 1,
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model: "m",
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choices: [{ index: 0, delta, finish_reason: finish }],
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})}\n\n`
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const body =
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deltas.map((d) => chunk(d, null)).join("") +
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chunk({}, "stop") +
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"data: [DONE]\n\n"
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vi.stubGlobal(
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"fetch",
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vi.fn(
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async () =>
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new Response(body, {
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headers: { "content-type": "text/event-stream" },
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}),
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),
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)
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}
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const testGlm = async () => {
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const res = await validateModel(
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new Request("http://localhost/api/validate-model", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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provider: "glm",
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apiKey: "key",
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modelId: "glm-5",
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}),
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}),
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)
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return res.json()
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}
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describe("POST /api/validate-model", () => {
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it("passes when the model calls the test tool", async () => {
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streamReply({
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role: "assistant",
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tool_calls: [
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{
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index: 0,
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id: "call_1",
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type: "function",
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function: { name: "ping", arguments: "{}" },
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},
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],
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})
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const data = await testGlm()
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expect(data.valid).toBe(true)
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expect(data.warning).toBeUndefined()
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expect(typeof data.responseTime).toBe("number")
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})
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it("reports a model that did not answer in time", async () => {
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// The 15 s timeout has fired: the SDK ends the stream with an
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// abort part instead of throwing
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const timedOut = AbortSignal.abort(
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new DOMException("The operation timed out.", "TimeoutError"),
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)
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const timeout = vi
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.spyOn(AbortSignal, "timeout")
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.mockReturnValue(timedOut)
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vi.stubGlobal(
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"fetch",
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vi.fn(async () => {
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throw timedOut.reason
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}),
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)
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try {
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const data = await testGlm()
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expect(data.valid).toBe(false)
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expect(data.code).toBe("timeout")
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} finally {
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timeout.mockRestore()
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}
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})
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it("does not run on the server's keys", async () => {
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process.env.OLLAMA_API_KEY = "server-ollama-key"
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try {
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const res = await validateModel(
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new Request("http://localhost/api/validate-model", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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provider: "ollama",
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modelId: "any-cloud-model",
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}),
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}),
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)
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expect(res.status).toBe(400)
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expect((await res.json()).error).toMatch(/API key/)
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} finally {
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delete process.env.OLLAMA_API_KEY
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}
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})
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it("warns when the model answers without a tool call", async () => {
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streamReply({ role: "assistant", content: "OK" })
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const data = await testGlm()
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expect(data.valid).toBe(true)
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expect(data.warning).toMatch(/without calling a tool/)
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})
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})
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describe("chat requests to a client base URL", () => {
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it("refuse redirects when private URLs are blocked", async () => {
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process.env.ALLOW_PRIVATE_URLS = "false"
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vi.stubGlobal(
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"fetch",
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vi.fn(
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async () =>
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new Response(null, {
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status: 302,
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headers: { location: "http://169.254.169.254/" },
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}),
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),
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)
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const { model } = getAIModel({
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provider: "glm",
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apiKey: "key",
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baseUrl: "https://attacker.example/v1",
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modelId: "glm-5",
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})
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let error: unknown
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const result = streamText({
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model,
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prompt: "hi",
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maxRetries: 0,
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onError: ({ error: e }) => {
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error = e
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},
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})
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await result.consumeStream()
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expect(String(error)).toMatch(/Redirects are not allowed/)
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})
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})
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describe("the admin panel's Test button", () => {
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it("works when access codes are set", async () => {
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// The admin password stands in for the visitor access code
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process.env.ACCESS_CODE_LIST = "visitor-code"
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process.env.ADMIN_PASSWORD = "admin-pw"
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try {
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streamReply({ role: "assistant", content: "OK" })
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const res = await testModel(
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new Request("http://localhost/api/admin/test-model", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-admin-password": "admin-pw",
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},
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body: JSON.stringify({
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provider: {
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id: "p1",
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provider: "glm",
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apiKey: "key",
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models: ["glm-5"],
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},
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modelId: "glm-5",
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}),
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}),
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)
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expect(res.status).toBe(200)
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expect((await res.json()).valid).toBe(true)
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} finally {
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delete process.env.ACCESS_CODE_LIST
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delete process.env.ADMIN_PASSWORD
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}
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})
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})
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