Files
next-ai-draw-io/tests/unit/provider-models.test.ts
T
dayuan.jiang 0855b35ff2 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.
2026-10-04 23:04:21 +09:00

182 lines
6.7 KiB
TypeScript

// @vitest-environment node
import { afterEach, describe, expect, it, vi } from "vitest"
import { POST as providerModels } from "@/app/api/provider-models/route"
import {
canListModels,
extractAihubmixModelIds,
listProviderModels,
} from "@/lib/provider-models"
afterEach(() => {
vi.unstubAllGlobals()
})
/** A fetch that answers with this JSON and records the request */
function answer(json: unknown, status = 200) {
const calls: Array<{ url: string; headers: Record<string, string> }> = []
const fn = vi.fn(async (url: string, init?: RequestInit) => {
calls.push({ url, headers: (init?.headers ?? {}) as any })
return new Response(JSON.stringify(json), { status })
}) as unknown as typeof fetch
return { fn, calls }
}
describe("listProviderModels", () => {
it("reads an OpenAI-style list and drops models that are not for chat", async () => {
const { fn, calls } = answer({
data: [
{ id: "gpt-4.1" },
{ id: "text-embedding-3-small" },
{ id: "whisper-1" },
{ id: "gpt-image-1" },
],
})
const models = await listProviderModels("openai", { apiKey: "k" }, fn)
expect(models.map((m) => m.id)).toEqual(["gpt-4.1"])
// Tool support comes from models.dev when the list has none
expect(models[0].tools).toBe(true)
expect(calls[0].url).toBe("https://api.openai.com/v1/models")
expect(calls[0].headers.Authorization).toBe("Bearer k")
})
it("uses the base URL the user gave, without a pasted path", async () => {
const { fn, calls } = answer({ data: [{ id: "m" }] })
await listProviderModels(
"glm",
{
apiKey: "k",
baseUrl: "https://proxy.example.com/v4/chat/completions",
},
fn,
)
expect(calls[0].url).toBe("https://proxy.example.com/v4/models")
})
it("asks Anthropic with its own headers", async () => {
const { fn, calls } = answer({ data: [{ id: "claude-sonnet-4-5" }] })
await listProviderModels("anthropic", { apiKey: "k" }, fn)
expect(calls[0].url).toBe(
"https://api.anthropic.com/v1/models?limit=1000",
)
expect(calls[0].headers["x-api-key"]).toBe("k")
})
it("keeps Gemini models that generate content, without models/", async () => {
const { fn, calls } = answer({
models: [
{
name: "models/gemini-2.5-flash",
supportedGenerationMethods: ["generateContent"],
},
{
name: "models/text-embedding-004",
supportedGenerationMethods: ["embedContent"],
},
],
})
const models = await listProviderModels("google", { apiKey: "k" }, fn)
expect(models.map((m) => m.id)).toEqual(["gemini-2.5-flash"])
// The key is a header, not part of the URL
expect(calls[0].url).not.toContain("k&")
expect(calls[0].headers["x-goog-api-key"]).toBe("k")
})
it("reads Ollama's tags and OpenRouter's tool support", async () => {
const ollama = answer({ models: [{ name: "llama3.2" }] })
await listProviderModels(
"ollama",
{ baseUrl: "http://localhost:11434" },
ollama.fn,
)
expect(ollama.calls[0].url).toBe("http://localhost:11434/api/tags")
const openrouter = answer({
data: [
{ id: "a/with-tools", supported_parameters: ["tools"] },
{ id: "b/no-tools", supported_parameters: ["temperature"] },
],
})
const models = await listProviderModels("openrouter", {}, openrouter.fn)
expect(models).toEqual([
{ id: "a/with-tools", tools: true },
{ id: "b/no-tools", tools: false },
])
})
it("lists Ollama from where chat goes without a base URL", async () => {
const { fn, calls } = answer({ models: [{ name: "llama3.2" }] })
process.env.OLLAMA_BASE_URL = "http://ollama.internal:11434"
try {
await listProviderModels("ollama", {}, fn)
} finally {
delete process.env.OLLAMA_BASE_URL
}
await listProviderModels("ollama", {}, fn)
expect(calls.map((c) => c.url)).toEqual([
"http://ollama.internal:11434/api/tags",
"http://127.0.0.1:11434/api/tags",
])
})
it("does not use SGLang's local address as a default", async () => {
const { fn, calls } = answer({ data: [] })
await expect(
listProviderModels("sglang", { apiKey: "k" }, fn),
).rejects.toThrow(/base URL/)
expect(calls).toHaveLength(0)
})
it("turns a failed request into an error with its status", async () => {
const { fn } = answer({ error: "bad key" }, 401)
await expect(
listProviderModels("deepseek", { apiKey: "k" }, fn),
).rejects.toMatchObject({ statusCode: 401 })
})
})
describe("extractAihubmixModelIds", () => {
it("keeps unique chat models", () => {
expect(
extractAihubmixModelIds({
data: [
{ model_id: "claude-sonnet-4-5", types: "llm" },
{ model_id: "gpt-5.1", types: "llm" },
{ model_id: "gpt-5.1", types: "llm" },
{ model_id: "gpt-image-2", types: "image_generation,llm" },
{ model_id: "", types: "llm" },
],
}),
).toEqual(["claude-sonnet-4-5", "gpt-5.1"])
expect(extractAihubmixModelIds({ data: null })).toEqual([])
})
})
describe("POST /api/provider-models", () => {
const post = (body: unknown) =>
providerModels(
new Request("http://localhost/api/provider-models", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
}),
)
it("answers null for providers that cannot list models", async () => {
expect(canListModels("bedrock")).toBe(false)
expect(canListModels("toString" as never)).toBe(false)
const res = await post({ provider: "bedrock" })
expect(await res.json()).toEqual({ models: null })
})
it("needs the user's key where the list is not public", async () => {
const res = await post({ provider: "deepseek" })
expect(res.status).toBe(400)
})
it("explains a failure with the error hints", async () => {
vi.stubGlobal("fetch", answer({}, 401).fn)
const res = await post({ provider: "deepseek", apiKey: "k" })
expect(await res.json()).toMatchObject({ code: "invalid_api_key" })
})
})