Files
9router/tests/unit/openai-to-commandcode.test.js
KhuatHieu 13b468b889 fix(commandcode): preserve images and reasoning_effort on /alpha/generate
Command Code dropped vision and ignored client effort through the router:
image blocks became "[image omitted]", HTTP image URLs were never inlined,
and reasoning_effort landed on the envelope wrapper instead of params (so the
DeepSeek family mapping remapped low -> high). The catalog also treated
deepseek/deepseek-v4.1-flash as text-only, so the vision adapter stole those
requests to another provider.

- Map OpenAI image_url / Claude image blocks (base64 or data-URI) to the
  native {type:"image", image:"data:...;base64,...", mimeType} generate block.
- Add FORMATS.COMMANDCODE to TARGETS_NEED_BASE64 so remote http(s) images are
  inlined by the existing SSRF-safe fetcher before translation.
- Write reasoning_effort inside params for targetFormat commandcode and pass
  low|medium|high|xhigh|max through unmapped; allow it in thinkingLevels.
- Provider-scoped capabilities for commandcode/cmc: vision except the CLI
  text-only denylist, thinkingFormat commandcode, so family patterns
  (deepseek-v4 -> thinkingFormat deepseek, vision false) no longer win.
- Quota Tracker: whoami + billing credits/subscriptions (credits vs plan cap,
  5h and weekly windows), labels from AI_PROVIDERS[].name.
2026-09-16 20:17:25 +07:00

236 lines
7.9 KiB
JavaScript

/**
* Unit tests for open-sse/translator/request/openai-to-commandcode.js
*
* Verified live against upstream `/alpha/generate` (curl, 2026-05-07):
* - params.system: STRING at top level (Anthropic-style; "system" role NOT in messages[])
* - params.messages[*].role ∈ {"user","assistant","tool"}
* - params.messages[*].content: Array<content_block> (NEVER string)
* - tools[*]: Anthropic plain {name, description, input_schema}
*/
import { describe, it, expect } from "vitest";
import { openaiToCommandCodeRequest } from "../../open-sse/translator/request/openai-to-commandcode.js";
const MODEL = "moonshotai/Kimi-K2.6";
describe("openaiToCommandCodeRequest — basic envelope", () => {
it("returns the expected top-level envelope shape", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hi" }],
}, true);
expect(out).toHaveProperty("threadId");
expect(out).toHaveProperty("memory");
expect(out).toHaveProperty("config");
expect(out).toHaveProperty("params");
expect(out.params.model).toBe(MODEL);
expect(out.params.stream).toBe(true);
});
});
describe("openaiToCommandCodeRequest — system handling", () => {
it("hoists system messages to params.system (string), not messages[]", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [
{ role: "system", content: "You are concise." },
{ role: "user", content: "hi" },
],
}, true);
expect(typeof out.params.system).toBe("string");
expect(out.params.system).toBe("You are concise.");
const roles = out.params.messages.map((m) => m.role);
expect(roles).not.toContain("system");
});
it("joins multiple system messages with blank line", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [
{ role: "system", content: "A" },
{ role: "system", content: "B" },
{ role: "user", content: "hi" },
],
}, true);
expect(out.params.system).toBe("A\n\nB");
});
it("omits params.system when no system messages", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hi" }],
}, true);
expect(out.params.system).toBeUndefined();
});
});
describe("openaiToCommandCodeRequest — content shape", () => {
it("MUST always emit content as Array (never string) for user", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hello" }],
}, true);
const u = out.params.messages[0];
expect(Array.isArray(u.content)).toBe(true);
expect(u.content[0]).toEqual({ type: "text", text: "hello" });
});
it("MUST always emit content as Array for assistant", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [
{ role: "user", content: "a" },
{ role: "assistant", content: "b" },
],
}, true);
const a = out.params.messages[1];
expect(Array.isArray(a.content)).toBe(true);
expect(a.content[0]).toEqual({ type: "text", text: "b" });
});
});
describe("openaiToCommandCodeRequest — tool role / tool-result (AI SDK)", () => {
it("converts role:\"tool\" to role:\"tool\" with tool-result block; output is {type:\"text\",value}", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [
{ role: "user", content: "run X" },
{
role: "assistant",
content: null,
tool_calls: [
{ id: "call_1", type: "function", function: { name: "do_x", arguments: "{\"a\":1}" } },
],
},
{ role: "tool", tool_call_id: "call_1", name: "do_x", content: "RESULT_OK" },
],
}, true);
const toolMsg = out.params.messages[out.params.messages.length - 1];
expect(toolMsg.role).toBe("tool");
const block = toolMsg.content[0];
expect(block.type).toBe("tool-result");
expect(block.toolCallId).toBe("call_1");
expect(block.toolName).toBe("do_x");
expect(block.output).toEqual({ type: "text", value: "RESULT_OK" });
});
});
describe("openaiToCommandCodeRequest — assistant tool_calls / tool-call", () => {
it("converts assistant.tool_calls[] into content blocks of type tool-call", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [
{ role: "user", content: "go" },
{
role: "assistant",
content: null,
tool_calls: [
{ id: "call_42", type: "function", function: { name: "search", arguments: "{\"q\":\"hi\"}" } },
],
},
],
}, true);
const asst = out.params.messages[1];
expect(asst.role).toBe("assistant");
const tc = asst.content.find((b) => b.type === "tool-call");
expect(tc).toBeDefined();
expect(tc.toolCallId).toBe("call_42");
expect(tc.toolName).toBe("search");
expect(tc.input).toEqual({ q: "hi" });
});
});
describe("openaiToCommandCodeRequest — tools schema conversion", () => {
it("converts OpenAI {type:\"function\", function:{...}} to Anthropic plain {name, input_schema}", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hi" }],
tools: [
{
type: "function",
function: {
name: "weather",
description: "Get weather",
parameters: { type: "object", properties: { city: { type: "string" } }, required: ["city"] },
},
},
],
}, true);
const t = out.params.tools[0];
expect(t.name).toBe("weather");
expect(t.input_schema).toBeDefined();
expect(t.input_schema.type).toBe("object");
expect(t.function).toBeUndefined();
expect(t.parameters).toBeUndefined();
});
it("preserves description on converted tool", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hi" }],
tools: [
{ type: "function", function: { name: "ping", description: "Ping the server", parameters: { type: "object" } } },
],
}, true);
expect(out.params.tools[0].description).toBe("Ping the server");
});
it("does not include tools field when input has none", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{ role: "user", content: "hi" }],
}, true);
expect(out.params.tools).toBeUndefined();
});
});
describe("openaiToCommandCodeRequest — native image blocks", () => {
const PNG_B64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg==";
const DATA_URI = `data:image/png;base64,${PNG_B64}`;
it("maps OpenAI image_url data URI to CommandCode {type:image,image,mimeType}", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{
role: "user",
content: [
{ type: "text", text: "what color?" },
{ type: "image_url", image_url: { url: DATA_URI } },
],
}],
}, true);
expect(out.params.messages[0].content).toEqual([
{ type: "text", text: "what color?" },
{ type: "image", image: DATA_URI, mimeType: "image/png" },
]);
});
it("maps Claude/OpenAI base64 image source to a data-URI image block", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{
role: "user",
content: [
{ type: "image", source: { type: "base64", media_type: "image/png", data: PNG_B64 } },
],
}],
}, true);
expect(out.params.messages[0].content).toEqual([
{ type: "image", image: DATA_URI, mimeType: "image/png" },
]);
});
it("does not stub dropped images as [image omitted]", () => {
const out = openaiToCommandCodeRequest(MODEL, {
messages: [{
role: "user",
content: [
{ type: "text", text: "see this" },
{ type: "image_url", image_url: { url: DATA_URI } },
],
}],
}, true);
const texts = out.params.messages[0].content
.filter((b) => b.type === "text")
.map((b) => b.text);
expect(texts).not.toContain("[image omitted]");
});
});