test(open-sse): add P0 golden tests (url/header, response stream, request body)

Lock current behavior before refactor: buildUrl/buildHeaders per default-executor
provider, translateResponse streaming (claude/gemini), translateRequest body
(openai->claude/gemini/kiro). Sanitize volatile fields (tokens, kimi device-id,
kiro conversationId, timestamps) for stable snapshots.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
decolua
2026-06-13 16:22:00 +07:00
co-authored by Cursor
parent 9532ec804e
commit 8f0a9ff9d4
7 changed files with 2846 additions and 0 deletions
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// Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
exports[`GOLDEN request: OpenAI → Claude > full body (system/image/tool/tool_result) 1`] = `
{
"max_tokens": 64000,
"messages": [
{
"content": [
{
"text": "What's in this image?",
"type": "text",
},
{
"source": {
"data": "IMGDATA",
"media_type": "image/png",
"type": "base64",
},
"type": "image",
},
],
"role": "user",
},
{
"content": [
{
"cache_control": {
"type": "ephemeral",
},
"id": "call_1",
"input": {
"city": "NYC",
},
"name": "get_weather",
"type": "tool_use",
},
],
"role": "assistant",
},
{
"content": [
{
"content": "sunny",
"tool_use_id": "call_1",
"type": "tool_result",
},
],
"role": "user",
},
],
"model": "claude-opus-4-6",
"stream": true,
"system": [
{
"text": "You are Claude Code, Anthropic's official CLI for Claude.",
"type": "text",
},
{
"cache_control": {
"ttl": "1h",
"type": "ephemeral",
},
"text": "You are helpful.",
"type": "text",
},
],
"temperature": 0.7,
"tools": [
{
"cache_control": {
"ttl": "1h",
"type": "ephemeral",
},
"description": "Get weather",
"input_schema": {
"properties": {
"city": {
"type": "string",
},
},
"required": [
"city",
],
"type": "object",
},
"name": "get_weather",
},
],
}
`;
exports[`GOLDEN request: OpenAI → Claude > reasoning_effort → thinking budget 1`] = `
{
"max_tokens": 64000,
"messages": [
{
"content": [
{
"text": "hi",
"type": "text",
},
],
"role": "user",
},
],
"model": "claude-opus-4-6",
"stream": true,
"system": [
{
"cache_control": {
"ttl": "1h",
"type": "ephemeral",
},
"text": "You are Claude Code, Anthropic's official CLI for Claude.",
"type": "text",
},
],
"thinking": {
"budget_tokens": 16384,
"type": "enabled",
},
}
`;
exports[`GOLDEN request: OpenAI → Gemini > full body (system/image/tool/tool_result) 1`] = `
{
"contents": [
{
"parts": [
{
"text": "What's in this image?",
},
{
"inlineData": {
"data": "IMGDATA",
"mime_type": "image/png",
},
},
],
"role": "user",
},
{
"parts": [
{
"functionCall": {
"args": {
"city": "NYC",
},
"id": "call_1",
"name": "get_weather",
},
"thoughtSignature": "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",
},
],
"role": "model",
},
{
"parts": [
{
"functionResponse": {
"id": "call_1",
"name": "get_weather",
"response": {
"result": {
"result": "sunny",
},
},
},
},
],
"role": "user",
},
],
"generationConfig": {
"temperature": 0.7,
},
"model": "gemini-3-pro",
"safetySettings": [
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "OFF",
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "OFF",
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "OFF",
},
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "OFF",
},
{
"category": "HARM_CATEGORY_CIVIC_INTEGRITY",
"threshold": "OFF",
},
],
"systemInstruction": {
"parts": [
{
"text": "You are helpful.",
},
],
"role": "user",
},
"tools": [
{
"functionDeclarations": [
{
"description": "Get weather",
"name": "get_weather",
"parameters": {
"properties": {
"city": {
"type": "string",
},
},
"required": [
"city",
],
"type": "object",
},
},
],
},
],
}
`;
exports[`GOLDEN request: OpenAI → Kiro > full body (image base64 + tool_result) 1`] = `
{
"conversationState": {
"chatTriggerType": "MANUAL",
"currentMessage": {
"userInputMessage": {
"content": "[Context: Current time is <TS>
continue",
"modelId": "claude-sonnet-4.5",
"origin": "AI_EDITOR",
"userInputMessageContext": {
"toolResults": [
{
"content": [
{
"text": "sunny",
},
],
"status": "success",
"toolUseId": "call_1",
},
],
"tools": [
{
"toolSpecification": {
"description": "Get weather",
"inputSchema": {
"json": {
"properties": {
"city": {
"type": "string",
},
},
"required": [
"city",
],
"type": "object",
},
},
"name": "get_weather",
},
},
],
},
},
},
"history": [
{
"userInputMessage": {
"content": "You are helpful.
What's in this image?",
"images": [
{
"format": "png",
"source": {
"bytes": "IMGDATA",
},
},
],
"modelId": "claude-sonnet-4.5",
},
},
{
"assistantResponseMessage": {
"content": "...",
"toolUses": [
{
"input": {
"city": "NYC",
},
"name": "get_weather",
"toolUseId": "call_1",
},
],
},
},
],
},
"inferenceConfig": {
"maxTokens": 32000,
"temperature": 0.7,
},
"profileArn": "arn:aws:codewhisperer:us-east-1:638616132270:profile/AAAACCCCXXXX",
}
`;
@@ -0,0 +1,304 @@
// Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
exports[`GOLDEN response stream: Claude → OpenAI > text + thinking + tool_use + usage + finish 1`] = `
[
{
"choices": [
{
"delta": {
"role": "assistant",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"content": "<think>",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"reasoning_content": "let me think",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"content": "</think>",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"content": "Hello",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"tool_calls": [
{
"function": {
"arguments": "{"city":"NYC"}",
"name": "get_weather",
},
"id": "tu_1",
"index": 0,
"type": "function",
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"tool_calls": [
{
"function": {
"arguments": "{"city":"NYC"}",
},
"id": "tu_1",
"index": 0,
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {},
"finish_reason": "tool_calls",
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-msg_1",
"model": "claude-opus-4-6",
"object": "chat.completion.chunk",
"usage": {
"completion_tokens": 5,
"prompt_tokens": 13,
"prompt_tokens_details": {
"cached_tokens": 3,
},
"total_tokens": 18,
},
},
]
`;
exports[`GOLDEN response stream: Gemini → OpenAI > image output (inlineData → delta.images) 1`] = `
[
{
"choices": [
{
"delta": {
"role": "assistant",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_2",
"model": "gemini-3-flash-image",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"images": [
{
"image_url": {
"url": "data:image/png;base64,BASE64DATA",
},
"type": "image_url",
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_2",
"model": "gemini-3-flash-image",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {},
"finish_reason": "stop",
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_2",
"model": "gemini-3-flash-image",
"object": "chat.completion.chunk",
},
]
`;
exports[`GOLDEN response stream: Gemini → OpenAI > text + thought(no-sig) + functionCall + usage + finish 1`] = `
[
{
"choices": [
{
"delta": {
"role": "assistant",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_1",
"model": "gemini-3-pro",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"reasoning_content": "thinking part",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_1",
"model": "gemini-3-pro",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"content": "Answer",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_1",
"model": "gemini-3-pro",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"tool_calls": [
{
"function": {
"arguments": "{"q":"x"}",
"name": "search",
},
"id": "search-<TS>-0",
"index": 0,
"type": "function",
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_1",
"model": "gemini-3-pro",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {},
"finish_reason": "tool_calls",
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-resp_1",
"model": "gemini-3-pro",
"object": "chat.completion.chunk",
"usage": {
"completion_tokens": 6,
"completion_tokens_details": {
"reasoning_tokens": 2,
},
"prompt_tokens": 8,
"prompt_tokens_details": {
"cached_tokens": 1,
},
"total_tokens": 14,
},
},
]
`;
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// P0 GOLDEN: lock OUTPUT của translateRequest (body) cho các đích đặc biệt.
// openai → claude/gemini/kiro: thinking, tools, image, system, tool_result.
// Sau refactor chạy lại phải khớp y hệt.
import { describe, it, expect } from "vitest";
import "./registerAll.js";
import { translateRequest } from "../../open-sse/translator/index.js";
import { FORMATS } from "../../open-sse/translator/formats.js";
// Body openai mẫu phủ nhiều concern (text, image, tool, tool_result, system, thinking).
function baseBody() {
return {
messages: [
{ role: "system", content: "You are helpful." },
{ role: "user", content: [
{ type: "text", text: "What's in this image?" },
{ type: "image_url", image_url: { url: "data:image/png;base64,IMGDATA", detail: "high" } },
] },
{ role: "assistant", content: "", tool_calls: [
{ id: "call_1", type: "function", function: { name: "get_weather", arguments: '{"city":"NYC"}' } },
] },
{ role: "tool", tool_call_id: "call_1", content: "sunny" },
],
tools: [
{ type: "function", function: { name: "get_weather", description: "Get weather", parameters: { type: "object", properties: { city: { type: "string" } }, required: ["city"] } } },
],
temperature: 0.7,
};
}
// Khử field động: toolNameMap, kiro conversationId (uuid), timestamp trong content.
function clean(body) {
const s = JSON.stringify(body, (k, v) => {
if (k === "_toolNameMap" || k === "conversationId") return undefined;
return v;
}).replace(/Current time is [^"\\]+/g, "Current time is <TS>");
return JSON.parse(s);
}
describe("GOLDEN request: OpenAI → Claude", () => {
it("full body (system/image/tool/tool_result)", () => {
const out = translateRequest(FORMATS.OPENAI, FORMATS.CLAUDE, "claude-opus-4-6", baseBody(), true, { apiKey: "sk-x" }, "claude");
expect(clean(out)).toMatchSnapshot();
});
it("reasoning_effort → thinking budget", () => {
const body = { messages: [{ role: "user", content: "hi" }], reasoning_effort: "high" };
const out = translateRequest(FORMATS.OPENAI, FORMATS.CLAUDE, "claude-opus-4-6", body, true, { apiKey: "sk-x" }, "anthropic");
expect(clean(out)).toMatchSnapshot();
});
});
describe("GOLDEN request: OpenAI → Gemini", () => {
it("full body (system/image/tool/tool_result)", () => {
const out = translateRequest(FORMATS.OPENAI, FORMATS.GEMINI, "gemini-3-pro", baseBody(), true, { apiKey: "k" }, "gemini");
expect(clean(out)).toMatchSnapshot();
});
});
describe("GOLDEN request: OpenAI → Kiro", () => {
it("full body (image base64 + tool_result)", () => {
const out = translateRequest(FORMATS.OPENAI, FORMATS.KIRO, "claude-sonnet-4.5", baseBody(), true, { accessToken: "t" }, "kiro");
expect(clean(out)).toMatchSnapshot();
});
});
@@ -0,0 +1,69 @@
// P0 GOLDEN: lock OUTPUT của translateResponse (stream) cho các concern đặc biệt.
// Feed chuỗi chunk THẬT (shape provider) → snapshot mảng chunk openai emit.
// Sau refactor chạy lại phải khớp y hệt (chunk/usage/thinking/tool/finish).
import { describe, it, expect } from "vitest";
import "./registerAll.js";
import { translateResponse, initState } from "../../open-sse/translator/index.js";
import { FORMATS } from "../../open-sse/translator/formats.js";
// Chuẩn hoá field động (Date.now trong created + gemini tool id) để snapshot ổn định.
function stripVolatile(chunks) {
return JSON.parse(JSON.stringify(chunks), (key, val) => {
if (key === "created") return 0;
// gemini sinh id = `${name}-${Date.now()}-${idx}` → chuẩn hoá phần timestamp
if (key === "id" && typeof val === "string") return val.replace(/-\d{10,}-(\d+)$/, "-<TS>-$1");
return val;
});
}
// Chạy 1 chuỗi event qua translateResponse, gom toàn bộ chunk emit.
function runStream(targetFormat, sourceFormat, events) {
const state = initState(sourceFormat);
const all = [];
for (const ev of events) {
const out = translateResponse(targetFormat, sourceFormat, ev, state);
if (Array.isArray(out)) all.push(...out);
else if (out) all.push(out);
}
return stripVolatile(all);
}
describe("GOLDEN response stream: Claude → OpenAI", () => {
it("text + thinking + tool_use + usage + finish", () => {
const events = [
{ type: "message_start", message: { id: "msg_1", model: "claude-opus-4-6" } },
{ type: "content_block_start", index: 0, content_block: { type: "thinking" } },
{ type: "content_block_delta", index: 0, delta: { type: "thinking_delta", thinking: "let me think" } },
{ type: "content_block_stop", index: 0 },
{ type: "content_block_start", index: 1, content_block: { type: "text" } },
{ type: "content_block_delta", index: 1, delta: { type: "text_delta", text: "Hello" } },
{ type: "content_block_stop", index: 1 },
{ type: "content_block_start", index: 2, content_block: { type: "tool_use", id: "tu_1", name: "get_weather" } },
{ type: "content_block_delta", index: 2, delta: { type: "input_json_delta", partial_json: '{"city":"NYC"}' } },
{ type: "content_block_stop", index: 2 },
{ type: "message_delta", delta: { stop_reason: "tool_use" }, usage: { input_tokens: 10, output_tokens: 5, cache_read_input_tokens: 3 } },
{ type: "message_stop" },
];
expect(runStream(FORMATS.CLAUDE, FORMATS.OPENAI, events)).toMatchSnapshot();
});
});
describe("GOLDEN response stream: Gemini → OpenAI", () => {
it("text + thought(no-sig) + functionCall + usage + finish", () => {
const events = [
{ candidates: [{ content: { parts: [{ text: "thinking part", thought: true }] } }], responseId: "resp_1", modelVersion: "gemini-3-pro" },
{ candidates: [{ content: { parts: [{ text: "Answer" }] } }] },
{ candidates: [{ content: { parts: [{ functionCall: { name: "search", args: { q: "x" } } }] } }] },
{ candidates: [{ finishReason: "STOP" }], usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 4, thoughtsTokenCount: 2, totalTokenCount: 14, cachedContentTokenCount: 1 } },
];
expect(runStream(FORMATS.GEMINI, FORMATS.OPENAI, events)).toMatchSnapshot();
});
it("image output (inlineData → delta.images)", () => {
const events = [
{ candidates: [{ content: { parts: [{ inlineData: { mimeType: "image/png", data: "BASE64DATA" } }] } }], responseId: "resp_2", modelVersion: "gemini-3-flash-image" },
{ candidates: [{ finishReason: "STOP" }] },
];
expect(runStream(FORMATS.GEMINI, FORMATS.OPENAI, events)).toMatchSnapshot();
});
});
@@ -0,0 +1,72 @@
// P0 GOLDEN: lock buildUrl + buildHeaders cho mọi provider trên code CŨ.
// Sinh snapshot lần đầu (baseline) → sau refactor chạy lại phải khớp y hệt.
// Mock proxyFetch + uuid-heavy executors KHÔNG cần ở đây vì chỉ gọi buildUrl/buildHeaders (pure).
import { describe, it, expect } from "vitest";
import { PROVIDERS } from "../../open-sse/config/providers.js";
import { DefaultExecutor } from "../../open-sse/executors/default.js";
// Credentials mẫu cố định (deterministic) — KHÔNG dùng Date.now/random.
const API_KEY_CRED = { apiKey: "sk-test-APIKEY", providerSpecificData: {} };
const OAUTH_CRED = { accessToken: "tok-test-ACCESS", providerSpecificData: {} };
const SPECIAL_CRED = {
apiKey: "sk-test-APIKEY",
accessToken: "tok-test-ACCESS",
providerSpecificData: { accountId: "ACC123", region: "sgp", baseUrl: "https://custom.example.com/v1", orgId: "ORG9" },
};
// Provider cần executor riêng (buildUrl/buildHeaders không nằm ở DefaultExecutor) → bỏ qua ở golden này.
// Chúng được lock riêng ở 11-provider edge tests / unit test chuyên biệt.
const SPECIALIZED = new Set([
"antigravity", "azure", "gemini-cli", "github", "iflow", "qoder", "kiro",
"codex", "cursor", "vertex", "vertex-partner", "qwen", "opencode",
"opencode-go", "grok-web", "perplexity-web", "ollama-local", "commandcode",
"xiaomi-tokenplan", "mimo-free",
]);
// Sanitize header: khử token + field thời gian động (kimi X-Msh-Device-Id) để snapshot ổn định.
function sanitize(headers) {
const out = {};
for (const [k, v] of Object.entries(headers)) {
out[k] = typeof v === "string"
? v.replace(/Bearer .+/, "Bearer <TOK>")
.replace(/sk-test-APIKEY|tok-test-ACCESS/g, "<CRED>")
.replace(/kimi-\d{10,}/g, "kimi-<TS>")
: v;
}
return out;
}
const providerIds = Object.keys(PROVIDERS).filter((p) => !SPECIALIZED.has(p)).sort();
describe("GOLDEN buildUrl (default executor providers)", () => {
for (const pid of providerIds) {
it(`${pid} → url (stream + non-stream)`, () => {
const ex = new DefaultExecutor(pid);
const cred = PROVIDERS[pid].noAuth ? {} : SPECIAL_CRED;
const model = "test-model";
const snap = {
stream: safe(() => ex.buildUrl(model, true, 0, cred)),
nonStream: safe(() => ex.buildUrl(model, false, 0, cred)),
};
expect(snap).toMatchSnapshot();
});
}
});
describe("GOLDEN buildHeaders (default executor providers)", () => {
for (const pid of providerIds) {
it(`${pid} → headers (apiKey / oauth)`, () => {
const ex = new DefaultExecutor(pid);
const snap = {
apiKey: safe(() => sanitize(ex.buildHeaders(PROVIDERS[pid].noAuth ? {} : API_KEY_CRED, true))),
oauth: safe(() => sanitize(ex.buildHeaders(PROVIDERS[pid].noAuth ? {} : OAUTH_CRED, true))),
nonStream: safe(() => sanitize(ex.buildHeaders(PROVIDERS[pid].noAuth ? {} : API_KEY_CRED, false))),
};
expect(snap).toMatchSnapshot();
});
}
});
function safe(fn) {
try { return fn(); } catch (e) { return `THROW: ${e.message}`; }
}