Files
OmniRoute/tests/unit/command-code-vision.test.ts
Diego Rodrigues de Sa e Souza b6412c6fed fix(command-code): use the documented /provider/v1 chat endpoint (#10265) (#11072)
5 — Fecha #10265: chat do command-code migra do endpoint CLI-only /alpha/generate (version-gated + proxy-blocked para callers externos) para o documentado /provider/v1/chat/completions (OpenAI format). Removido o envelope CLI reverse-engineered (config/memory/taste/skills + headers CLI-impersonation), substituído por passthrough OpenAI plano com normalização de model id vendor-prefixed (#10809), clamp de max_tokens (#5166), sanitização de reasoning_effort. commandCode.ts 1037→171 linhas.
Validado no worktree board sobre tip: typecheck:core limpo; 175/175 testes focados (command-code executor/vision/usage/maxtokens/user-array/validation-specialty/responses-handler/provider-models-scoping); changelog-integrity/file-size/complexity/cognitive todos OK. TDD RED→GREEN documentado.
2026-08-21 22:16:45 -03:00

256 lines
8.6 KiB
TypeScript

/**
* Vision / multimodal support tests for the Command Code executor.
*
* Since #10265 the executor posts to the documented /provider/v1/chat/completions
* endpoint, which speaks the standard OpenAI chat.completions format. User image
* content (OpenAI `image_url` parts and Anthropic Messages-style source blocks)
* passes through unchanged — the endpoint natively understands both shapes, so
* there is no CLI-specific conversion (and no CLI-wire image stripping) left to
* verify. These tests pin that passthrough plus the #10809 wire-model
* normalization, which still applies to /provider/v1.
*/
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-cmd-code-vision-"));
process.env.DATA_DIR = TEST_DATA_DIR;
const { getExecutor } = await import("../../open-sse/executors/index.ts");
const core = await import("../../src/lib/db/core.ts");
const originalFetch = globalThis.fetch;
function okResponse() {
return new Response("{}", { status: 200, headers: { "Content-Type": "application/json" } });
}
test.after(() => {
globalThis.fetch = originalFetch;
core.resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
test.afterEach(() => {
globalThis.fetch = originalFetch;
});
// ── helpers ────────────────────────────────────────────────────────────
type FetchCall = { url: string; init: Record<string, unknown>; body: Record<string, unknown> };
function captureFetch(response: Response) {
const calls: FetchCall[] = [];
globalThis.fetch = async (url, init: RequestInit = {}) => {
calls.push({
url: String(url),
init: init as Record<string, unknown>,
body: JSON.parse(String(init.body)),
});
return response;
};
return calls;
}
function userContent(calls: FetchCall[]): unknown {
return (calls[0].body.messages as Record<string, unknown>[])[0].content;
}
function wireModel(calls: FetchCall[]): string {
return calls[0].body.model as string;
}
// ── wire model normalization (#10809) ────────────────────────────────
test("#10809: command-code/mimo-v2.5 wire model is normalized to xiaomi/mimo-v2.5", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "command-code/mimo-v2.5",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: { model: "command-code/mimo-v2.5", messages: [{ role: "user", content: "hi" }] },
});
assert.equal(wireModel(calls), "xiaomi/mimo-v2.5");
});
test("#10809: cmd/mimo-v2.5 (alias prefix) is also normalized", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "cmd/mimo-v2.5",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: { model: "cmd/mimo-v2.5", messages: [{ role: "user", content: "hi" }] },
});
assert.equal(wireModel(calls), "xiaomi/mimo-v2.5");
});
test("#10809: already vendor-prefixed wire ids pass through unchanged", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "command-code/deepseek/deepseek-v4-pro",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
model: "command-code/deepseek/deepseek-v4-pro",
messages: [{ role: "user", content: "hi" }],
},
});
assert.equal(wireModel(calls), "deepseek/deepseek-v4-pro");
});
// ── image content passthrough (OpenAI /provider/v1 surface) ──────────
test("image_url parts pass through unchanged (text + image preserved)", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "MiniMaxAI/MiniMax-M3",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
messages: [
{
role: "user",
content: [
{ type: "text", text: "What's in this?" },
{ type: "image_url", image_url: { url: "data:image/png;base64,iVBORw0KGgo=" } },
],
},
],
},
});
const content = userContent(calls) as Record<string, unknown>[];
assert.equal(content.length, 2);
assert.equal(content[0].type, "text");
assert.equal(content[1].type, "image_url", "image_url part preserved as-is");
assert.equal(
(content[1].image_url as { url: string }).url,
"data:image/png;base64,iVBORw0KGgo="
);
});
test("Anthropic Messages-style source image blocks pass through unchanged", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "xiaomi/mimo-v2.5",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
messages: [
{
role: "user",
content: [
{ type: "text", text: "Gambar apa ini?" },
{
type: "image",
source: {
type: "base64",
media_type: "image/png",
data: "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg==",
},
},
],
},
],
},
});
const content = userContent(calls) as Record<string, unknown>[];
assert.equal(content.length, 2, "text + image parts preserved");
assert.equal(content[1].type, "image");
assert.equal((content[1].source as { type: string }).type, "base64");
assert.equal((content[1].source as { data: string }).data, "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg==");
});
test("Anthropic source.url image block passes through unchanged", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "xiaomi/mimo-v2.5",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
messages: [
{
role: "user",
content: [
{ type: "text", text: "Look" },
{ type: "image", source: { type: "url", url: "https://example.com/img.png" } },
],
},
],
},
});
const content = userContent(calls) as Record<string, unknown>[];
assert.equal(content.length, 2);
assert.equal(content[1].type, "image");
assert.deepEqual(content[1].source, { type: "url", url: "https://example.com/img.png" });
});
test("multiple image parts are all preserved", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "minimax-m3",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
messages: [
{
role: "user",
content: [
{ type: "text", text: "Compare" },
{ type: "image_url", image_url: { url: "https://example.com/a.jpg" } },
{ type: "image_url", image_url: { url: "https://example.com/b.jpg" } },
],
},
],
},
});
const content = userContent(calls) as Record<string, unknown>[];
assert.equal(content.length, 3);
assert.equal(content[1].type, "image_url");
assert.equal(content[2].type, "image_url");
});
test("plain string content passes through unchanged", async () => {
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "minimax-m3",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: { messages: [{ role: "user", content: "Plain string message" }] },
});
const content = userContent(calls);
assert.equal(typeof content, "string");
assert.equal(content, "Plain string message");
});
test("text-only model still forwards image parts (passthrough, no CLI stripping)", async () => {
// The /provider/v1 OpenAI surface accepts image content for any model id; the
// executor forwards content untouched, so there is no text-only stripping.
const calls = captureFetch(okResponse());
await getExecutor("command-code").execute({
model: "deepseek/deepseek-v4-pro",
stream: false,
credentials: { apiKey: "cc_test_key" },
body: {
messages: [
{
role: "user",
content: [
{ type: "text", text: "Hello" },
{ type: "image_url", image_url: { url: "https://example.com/img.png" } },
],
},
],
},
});
const content = userContent(calls) as Record<string, unknown>[];
assert.equal(content.length, 2, "content array forwarded unchanged");
assert.equal(content[1].type, "image_url");
});