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https://github.com/Nezumi-2711/9router.git
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test(open-sse): extend golden response stream to kiro/ollama (T0.5)
Lock chunk/usage/tool/thinking/finish behavior for kiro + ollama before chunkBuilder refactor. Sanitize volatile stream/tool ids. Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
@@ -302,3 +302,146 @@ exports[`GOLDEN response stream: Gemini → OpenAI > text + thought(no-sig) + fu
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},
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]
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`;
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exports[`GOLDEN response stream: Kiro → OpenAI > text + reasoning + toolUse + usage + stop 1`] = `
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[
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{
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"choices": [
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{
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"delta": {
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"content": "Hello",
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"role": "assistant",
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},
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"finish_reason": null,
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "kiro",
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"object": "chat.completion.chunk",
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},
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{
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"choices": [
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{
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"delta": {
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"reasoning_content": "thinking",
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},
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"finish_reason": null,
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "kiro",
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"object": "chat.completion.chunk",
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},
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{
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"choices": [
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{
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"delta": {
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"tool_calls": [
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{
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"function": {
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"arguments": "{"city":"NYC"}",
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"name": "get_weather",
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},
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"id": "tu_1",
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"index": 0,
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"type": "function",
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},
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],
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},
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"finish_reason": null,
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "kiro",
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"object": "chat.completion.chunk",
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},
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{
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"choices": [
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{
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"delta": {},
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"finish_reason": "stop",
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "kiro",
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"object": "chat.completion.chunk",
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"usage": {
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"completion_tokens": 5,
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"prompt_tokens": 10,
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"total_tokens": 15,
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},
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},
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]
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`;
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exports[`GOLDEN response stream: Ollama → OpenAI > content + thinking + tool_calls + done usage 1`] = `
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[
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{
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"choices": [
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{
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"delta": {
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"content": "Hi",
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"reasoning_content": "reason",
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},
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"finish_reason": null,
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "qwen3",
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"object": "chat.completion.chunk",
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},
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{
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"choices": [
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{
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"delta": {
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"tool_calls": [
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{
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"function": {
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"arguments": "{"q":"x"}",
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"name": "search",
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},
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"id": "call_0_<TS>",
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"index": 0,
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"type": "function",
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},
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],
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},
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"finish_reason": null,
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "qwen3",
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"object": "chat.completion.chunk",
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},
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{
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"choices": [
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{
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"delta": {},
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"finish_reason": "tool_calls",
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"index": 0,
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},
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],
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"created": 0,
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"id": "chatcmpl-<TS>",
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"model": "qwen3",
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"object": "chat.completion.chunk",
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"usage": {
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"completion_tokens": 4,
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"prompt_tokens": 8,
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"total_tokens": 12,
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},
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},
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]
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`;
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@@ -6,12 +6,16 @@ import "./registerAll.js";
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import { translateResponse, initState } from "../../open-sse/translator/index.js";
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import { FORMATS } from "../../open-sse/translator/formats.js";
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// Chuẩn hoá field động (Date.now trong created + gemini tool id) để snapshot ổn định.
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// Chuẩn hoá field động (Date.now trong created + id) để snapshot ổn định.
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function stripVolatile(chunks) {
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return JSON.parse(JSON.stringify(chunks), (key, val) => {
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if (key === "created") return 0;
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// gemini sinh id = `${name}-${Date.now()}-${idx}` → chuẩn hoá phần timestamp
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if (key === "id" && typeof val === "string") return val.replace(/-\d{10,}-(\d+)$/, "-<TS>-$1");
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if (key === "id" && typeof val === "string") {
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return val
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.replace(/-\d{10,}-(\d+)$/, "-<TS>-$1") // gemini: name-<ts>-idx
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.replace(/^chatcmpl-\d{10,}$/, "chatcmpl-<TS>") // kiro/ollama stream id
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.replace(/^call_(\d+)_\d{10,}$/, "call_$1_<TS>"); // ollama tool id
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}
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return val;
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});
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}
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@@ -67,3 +71,27 @@ describe("GOLDEN response stream: Gemini → OpenAI", () => {
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expect(runStream(FORMATS.GEMINI, FORMATS.OPENAI, events)).toMatchSnapshot();
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});
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});
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describe("GOLDEN response stream: Kiro → OpenAI", () => {
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it("text + reasoning + toolUse + usage + stop", () => {
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const events = [
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{ assistantResponseEvent: { content: "Hello" }, _eventType: "assistantResponseEvent" },
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{ reasoningContentEvent: { text: "thinking" }, _eventType: "reasoningContentEvent" },
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{ toolUseEvent: { toolUseId: "tu_1", name: "get_weather", input: { city: "NYC" } }, _eventType: "toolUseEvent" },
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{ usageEvent: { inputTokens: 10, outputTokens: 5 }, _eventType: "usageEvent" },
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{ _eventType: "messageStopEvent" },
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];
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expect(runStream(FORMATS.KIRO, FORMATS.OPENAI, events)).toMatchSnapshot();
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});
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});
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describe("GOLDEN response stream: Ollama → OpenAI", () => {
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it("content + thinking + tool_calls + done usage", () => {
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const events = [
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{ model: "qwen3", message: { role: "assistant", content: "Hi", thinking: "reason" } },
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{ model: "qwen3", message: { role: "assistant", tool_calls: [{ function: { name: "search", arguments: { q: "x" } } }] } },
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{ model: "qwen3", done: true, done_reason: "stop", prompt_eval_count: 8, eval_count: 4 },
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];
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expect(runStream(FORMATS.OLLAMA, FORMATS.OPENAI, events)).toMatchSnapshot();
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});
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});
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