160 lines
5.1 KiB
TypeScript
160 lines
5.1 KiB
TypeScript
// Tests for optional modelId fallback on /api/provider-nodes/validate.
|
|
// Ports decolua/9router#315 (Doan Minh Tu).
|
|
import test from "node:test";
|
|
import assert from "node:assert/strict";
|
|
import fs from "node:fs";
|
|
import os from "node:os";
|
|
import path from "node:path";
|
|
|
|
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-validate-modelid-"));
|
|
process.env.DATA_DIR = TEST_DATA_DIR;
|
|
|
|
const core = await import("../../src/lib/db/core.ts");
|
|
const providerNodesValidateRoute = await import(
|
|
"../../src/app/api/provider-nodes/validate/route.ts"
|
|
);
|
|
|
|
const originalFetch = globalThis.fetch;
|
|
|
|
async function resetStorage() {
|
|
core.resetDbInstance();
|
|
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
|
|
fs.mkdirSync(TEST_DATA_DIR, { recursive: true });
|
|
}
|
|
|
|
test.afterEach(async () => {
|
|
globalThis.fetch = originalFetch;
|
|
await resetStorage();
|
|
});
|
|
|
|
test.after(() => {
|
|
globalThis.fetch = originalFetch;
|
|
core.resetDbInstance();
|
|
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
|
|
});
|
|
|
|
type FetchCall = { url: string; init: any };
|
|
|
|
function installFetchSequence(responses: Array<() => Response>) {
|
|
const calls: FetchCall[] = [];
|
|
let i = 0;
|
|
globalThis.fetch = async (url: any, init: any = {}) => {
|
|
calls.push({ url: String(url), init });
|
|
const factory = responses[i++] ?? responses[responses.length - 1];
|
|
return factory();
|
|
};
|
|
return calls;
|
|
}
|
|
|
|
function validate(body: Record<string, unknown>) {
|
|
return providerNodesValidateRoute.POST(
|
|
new Request("http://localhost/api/provider-nodes/validate", {
|
|
method: "POST",
|
|
headers: { "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
})
|
|
);
|
|
}
|
|
|
|
test("openai-compatible: modelId fallback to /chat/completions succeeds when /models 404", async () => {
|
|
const calls = installFetchSequence([
|
|
() => new Response("not found", { status: 404 }),
|
|
() => new Response(JSON.stringify({ id: "ok" }), { status: 200 }),
|
|
]);
|
|
|
|
const res = await validate({
|
|
baseUrl: "https://proxy.example.com/v1",
|
|
apiKey: "sk-test",
|
|
type: "openai-compatible",
|
|
modelId: "my-model",
|
|
});
|
|
|
|
assert.equal(res.status, 200);
|
|
const data = (await res.json()) as any;
|
|
assert.equal(data.valid, true);
|
|
assert.equal(data.method, "chat");
|
|
assert.equal(calls.length, 2);
|
|
assert.equal(calls[0].url, "https://proxy.example.com/v1/models");
|
|
assert.equal(calls[1].url, "https://proxy.example.com/v1/chat/completions");
|
|
assert.equal(calls[1].init.method, "POST");
|
|
const sent = JSON.parse(calls[1].init.body as string);
|
|
assert.equal(sent.model, "my-model");
|
|
assert.equal(sent.max_tokens, 1);
|
|
assert.deepEqual(sent.messages, [{ role: "user", content: "ping" }]);
|
|
});
|
|
|
|
test("openai-compatible: 401 from /models skips chat fallback even when modelId set", async () => {
|
|
const calls = installFetchSequence([() => new Response("nope", { status: 401 })]);
|
|
|
|
const res = await validate({
|
|
baseUrl: "https://proxy.example.com/v1",
|
|
apiKey: "sk-test",
|
|
type: "openai-compatible",
|
|
modelId: "my-model",
|
|
});
|
|
|
|
assert.equal(res.status, 200);
|
|
const data = (await res.json()) as any;
|
|
assert.equal(data.valid, false);
|
|
assert.equal(calls.length, 1);
|
|
assert.match(String(data.error), /unauthorized/i);
|
|
});
|
|
|
|
test("openai-compatible: chat fallback failure returns descriptive error", async () => {
|
|
installFetchSequence([
|
|
() => new Response("not found", { status: 404 }),
|
|
() => new Response("bad model", { status: 400 }),
|
|
]);
|
|
|
|
const res = await validate({
|
|
baseUrl: "https://proxy.example.com/v1",
|
|
apiKey: "sk-test",
|
|
type: "openai-compatible",
|
|
modelId: "bad-model",
|
|
});
|
|
|
|
assert.equal(res.status, 200);
|
|
const data = (await res.json()) as any;
|
|
assert.equal(data.valid, false);
|
|
assert.equal(data.method, "chat");
|
|
assert.match(String(data.error), /invalid model|bad request/i);
|
|
});
|
|
|
|
test("openai-compatible: without modelId, 404 from /models returns helpful hint", async () => {
|
|
installFetchSequence([() => new Response("nope", { status: 404 })]);
|
|
|
|
const res = await validate({
|
|
baseUrl: "https://proxy.example.com/v1",
|
|
apiKey: "sk-test",
|
|
type: "openai-compatible",
|
|
});
|
|
|
|
assert.equal(res.status, 200);
|
|
const data = (await res.json()) as any;
|
|
assert.equal(data.valid, false);
|
|
assert.match(String(data.error), /models.*endpoint.*not found|model id/i);
|
|
});
|
|
|
|
test("anthropic-compatible: modelId fallback to /chat/completions on 404", async () => {
|
|
const calls = installFetchSequence([
|
|
() => new Response("not found", { status: 404 }),
|
|
() => new Response(JSON.stringify({ id: "ok" }), { status: 200 }),
|
|
]);
|
|
|
|
const res = await validate({
|
|
baseUrl: "https://proxy.example.com/v1",
|
|
apiKey: "sk-anthropic",
|
|
type: "anthropic-compatible",
|
|
modelId: "claude-3-opus",
|
|
});
|
|
|
|
assert.equal(res.status, 200);
|
|
const data = (await res.json()) as any;
|
|
assert.equal(data.valid, true);
|
|
assert.equal(data.method, "chat");
|
|
assert.equal(calls.length, 2);
|
|
assert.equal(calls[1].url, "https://proxy.example.com/v1/chat/completions");
|
|
assert.equal(calls[1].init.headers["x-api-key"], "sk-anthropic");
|
|
assert.equal(calls[1].init.headers["anthropic-version"], "2023-06-01");
|
|
});
|