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Chats: - New Chat right after an answer saves that chat once. Saves run one at a time and read the chat on screen when their turn comes; a save scheduled for a chat that is no longer on screen is dropped. A chat whose id was still on its way to the URL no longer comes back after New Chat (the next answer went into it). - Crossing the 768 px breakpoint keeps the chat panel: a streaming answer, unsaved messages and attachments stay. The panel gets the sizes of each side, and a panel collapsed on desktop opens on mobile. - The chat's export waits for its own reply: an edit's history export still on its way no longer answers it with the older diagram, and two file saves at once no longer swap results. - A second edit in one answer is previewed on the first edit's result. - Stop also ends a running screenshot check; a chat that cannot be saved (storage full) can be left with "Continue without saving". - Small diagrams with shapes count as diagrams; the tool card no longer crashes on malformed operations. Quota and providers: - Requests that reach the server's own endpoints count toward the quota: EdgeOne (always its own endpoint now), a private base URL whatever key header is sent, keyless Ollama without a URL. With the quota on, a redirect is followed only to a public address. The output cap applies to these requests too. - Stop records the tokens of the steps that finished; the screenshot check counts its tokens without counting a request. - EdgeOne configured only by AI_PROVIDER works, also in the admin Test, which forwards the access code. Azure set up only in the admin panel works in chat. The Test sends a Bedrock session token. - The admin panel's Test of an entry without a URL uses the server's URL as the server does (no private address check for it); the admin panel no longer writes an Ollama URL. MCP server: - Write tools and start_session run one at a time, so two at once never drop each other's change; a cancelled call waiting its turn is skipped. get_diagram and export_diagram keep the session they started with. - Export to .drawio first gets the user's latest edits from the browser. - History thumbnails: one that arrives after the next AI write is dropped; a sync reply keeps the image; a version that changed only page settings is its own entry. - A diagram over the 10 MB limit is saved without its image, or the user is told to download it (the server now answers 413 instead of cutting the connection). - Labels holding text like id='1' or parent='1' are no longer read as attributes (a layer or a parent was deleted). A broken bare <mxGraphModel> file is refused. - After a sync reply the tab no longer sends its autosave copy again. Desktop and files: - A newer switch of the same preset is not rolled back by an older one that failed. .env values with escaped quotes are read whole. - MCP saved files: a file that could not be read stays protected while a folder without permission hides it, and is saved again once deleted. - The desktop app reports "no chats" only when the count was read and no model settings are stored.
249 lines
8.7 KiB
TypeScript
249 lines
8.7 KiB
TypeScript
// @vitest-environment node
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"
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// No DNS in tests: only loopback addresses are private
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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 (url: string) =>
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/^https?:\/\/(127\.0\.0\.1|localhost)\b/.test(url),
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}))
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import { POST as chat } from "@/app/api/chat/route"
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const ENV = [
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"AI_PROVIDER",
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"AI_MODEL",
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"OPENAI_API_KEY",
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"OLLAMA_BASE_URL",
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"OLLAMA_API_KEY",
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"NEXT_AI_DRAWIO_DESKTOP",
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]
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const saved: Record<string, string | undefined> = {}
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beforeEach(() => {
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for (const k of ENV) saved[k] = process.env[k]
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for (const k of ENV) delete process.env[k]
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})
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afterEach(() => {
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for (const k of ENV) {
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if (saved[k] === undefined) delete process.env[k]
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else process.env[k] = saved[k]
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}
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vi.unstubAllGlobals()
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})
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/** Every provider request answers with this status and text */
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const providerAnswers = (status: number, body: string) =>
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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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status,
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headers: { "Content-Type": "application/json" },
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}),
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),
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)
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/** The error text the chat panel gets from the stream */
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async function streamedError(headers: Record<string, string>) {
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const res = await chat(
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new Request("http://localhost/api/chat", {
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method: "POST",
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headers: { "Content-Type": "application/json", ...headers },
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body: JSON.stringify({
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messages: [
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{
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id: "u1",
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role: "user",
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parts: [{ type: "text", text: "Draw two boxes" }],
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},
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],
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xml: "",
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}),
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}),
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)
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const text = await res.text()
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const line = text.split("\n").find((l) => l.includes('"type":"error"'))
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return line ? JSON.parse(JSON.parse(line.slice(6)).errorText).message : ""
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}
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describe("provider error texts in the stream", () => {
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it("shows the user's own local Ollama error in the desktop app", async () => {
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process.env.NEXT_AI_DRAWIO_DESKTOP = "1"
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process.env.AI_PROVIDER = "ollama"
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process.env.AI_MODEL = "llama3"
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// Ollama is not running
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vi.stubGlobal(
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"fetch",
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vi.fn(async () => {
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throw Object.assign(new TypeError("fetch failed"), {
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cause: new Error("connect ECONNREFUSED 127.0.0.1:11434"),
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})
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}),
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)
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expect(await streamedError({})).toMatch(
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/127\.0\.0\.1:11434|fetch failed/,
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)
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// The SDK retries a refused connection twice, waiting between
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}, 20_000)
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it("shows the server's keyless Ollama error on the web too", async () => {
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// No key, no money involved; round three hid this text
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process.env.AI_PROVIDER = "ollama"
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process.env.AI_MODEL = "llama3"
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process.env.OLLAMA_BASE_URL = "http://ollama.internal:11434/api"
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vi.stubGlobal(
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"fetch",
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vi.fn(async () => {
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throw Object.assign(new TypeError("fetch failed"), {
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cause: new Error("connect ECONNREFUSED 10.0.0.9:11434"),
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})
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}),
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)
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expect(await streamedError({})).not.toBe(
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"The provider returned an error.",
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)
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}, 20_000)
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it("shows EdgeOne's own daily quota explanation", async () => {
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// The function answers 429, which the SDK retries with a wait;
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// the status does not decide whether the text is shown
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providerAnswers(
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400,
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JSON.stringify({
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error: {
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message:
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"The daily public quota has been exhausted. After deployment, you can enjoy a personal daily exclusive quota.",
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},
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}),
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)
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expect(
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await streamedError({
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"x-ai-provider": "edgeone",
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"x-ai-model": "@tx/deepseek-ai/deepseek-v3-0324",
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}),
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).toMatch(/daily public quota/)
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})
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it("hides the provider's text on the server's own key", async () => {
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process.env.AI_PROVIDER = "openai"
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process.env.AI_MODEL = "gpt-5.5"
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process.env.OPENAI_API_KEY = "server-key"
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providerAnswers(
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403,
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JSON.stringify({
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error: { message: "Organization org-operator is suspended" },
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}),
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)
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const message = await streamedError({})
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expect(message).not.toMatch(/org-operator/)
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expect(message).toBe("The provider returned an error.")
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})
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})
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describe("the output cap", () => {
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it("holds for the server's own keyless endpoints too", async () => {
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process.env.MAX_OUTPUT_TOKENS = "8000"
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const sent: string[] = []
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vi.stubGlobal(
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"fetch",
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vi.fn(async (_url: string, init?: RequestInit) => {
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sent.push(String(init?.body ?? ""))
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return new Response("{}", { status: 400 })
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}),
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)
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try {
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const res = await chat(
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new Request("http://localhost/api/chat", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-ai-provider": "ollama",
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"x-ai-base-url": "http://127.0.0.1:11434/api",
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"x-ai-model": "llama3",
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"x-max-output-tokens": "200000",
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},
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body: JSON.stringify({
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messages: [
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{
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id: "u1",
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role: "user",
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parts: [{ type: "text", text: "Draw" }],
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},
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],
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xml: "",
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}),
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}),
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)
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await res.text()
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expect(sent[0]).toContain('"max_output_tokens":8000')
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} finally {
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delete process.env.MAX_OUTPUT_TOKENS
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}
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})
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})
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describe("a tool call that never got its result", () => {
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it("is left out of the prompt instead of failing every later message", async () => {
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// Stop while the screenshot check ran left display_diagram without
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// a result, and the chat was saved like that
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process.env.AI_PROVIDER = "openai"
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process.env.AI_MODEL = "gpt-5.5"
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process.env.OPENAI_API_KEY = "server-key"
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const sent: string[] = []
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vi.stubGlobal(
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"fetch",
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vi.fn(async (_url: string, init?: RequestInit) => {
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sent.push(String(init?.body ?? ""))
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return new Response(
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JSON.stringify({ error: { message: "x" } }),
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{
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status: 400,
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headers: { "Content-Type": "application/json" },
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},
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)
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}),
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)
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const res = await chat(
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new Request("http://localhost/api/chat", {
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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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messages: [
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{
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id: "u1",
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role: "user",
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parts: [{ type: "text", text: "Draw a box" }],
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},
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{
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id: "a1",
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role: "assistant",
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parts: [
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{
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type: "tool-display_diagram",
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toolCallId: "call-without-result",
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state: "input-available",
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input: { xml: "<mxCell/>" },
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},
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],
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},
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{
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id: "u2",
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role: "user",
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parts: [{ type: "text", text: "Make it red" }],
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},
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],
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xml: "",
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}),
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}),
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)
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await res.text()
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// The request reached the model, without the unanswered call
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expect(sent).toHaveLength(1)
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expect(sent[0]).toContain("Make it red")
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expect(sent[0]).not.toContain("call-without-result")
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})
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})
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