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>

tests/translator/__snapshots__/golden-response-stream.test.js.snap

@@ -302,3 +302,146 @@ exports[`GOLDEN response stream: Gemini → OpenAI > text + thought(no-sig) + fu
   },
 ]
 `;
+
+exports[`GOLDEN response stream: Kiro → OpenAI > text + reasoning + toolUse + usage + stop 1`] = `
+[
+  {
+    "choices": [
+      {
+        "delta": {
+          "content": "Hello",
+          "role": "assistant",
+        },
+        "finish_reason": null,
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "kiro",
+    "object": "chat.completion.chunk",
+  },
+  {
+    "choices": [
+      {
+        "delta": {
+          "reasoning_content": "thinking",
+        },
+        "finish_reason": null,
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "kiro",
+    "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-<TS>",
+    "model": "kiro",
+    "object": "chat.completion.chunk",
+  },
+  {
+    "choices": [
+      {
+        "delta": {},
+        "finish_reason": "stop",
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "kiro",
+    "object": "chat.completion.chunk",
+    "usage": {
+      "completion_tokens": 5,
+      "prompt_tokens": 10,
+      "total_tokens": 15,
+    },
+  },
+]
+`;
+
+exports[`GOLDEN response stream: Ollama → OpenAI > content + thinking + tool_calls + done usage 1`] = `
+[
+  {
+    "choices": [
+      {
+        "delta": {
+          "content": "Hi",
+          "reasoning_content": "reason",
+        },
+        "finish_reason": null,
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "qwen3",
+    "object": "chat.completion.chunk",
+  },
+  {
+    "choices": [
+      {
+        "delta": {
+          "tool_calls": [
+            {
+              "function": {
+                "arguments": "{"q":"x"}",
+                "name": "search",
+              },
+              "id": "call_0_<TS>",
+              "index": 0,
+              "type": "function",
+            },
+          ],
+        },
+        "finish_reason": null,
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "qwen3",
+    "object": "chat.completion.chunk",
+  },
+  {
+    "choices": [
+      {
+        "delta": {},
+        "finish_reason": "tool_calls",
+        "index": 0,
+      },
+    ],
+    "created": 0,
+    "id": "chatcmpl-<TS>",
+    "model": "qwen3",
+    "object": "chat.completion.chunk",
+    "usage": {
+      "completion_tokens": 4,
+      "prompt_tokens": 8,
+      "total_tokens": 12,
+    },
+  },
+]
+`;

tests/translator/golden-response-stream.test.js

@@ -6,12 +6,16 @@ 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.
+// Chuẩn hoá field động (Date.now trong created + 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()}-${idx}` → chuẩn hoá phần timestamp
+    if (key === "id" && typeof val === "string") {
-    if (key === "id" && typeof val === "string") return val.replace(/-\d{10,}-(\d+)$/, "-<TS>-$1");
+      return val
+        .replace(/-\d{10,}-(\d+)$/, "-<TS>-$1")   // gemini: name-<ts>-idx
+        .replace(/^chatcmpl-\d{10,}$/, "chatcmpl-<TS>")  // kiro/ollama stream id
+        .replace(/^call_(\d+)_\d{10,}$/, "call_$1_<TS>"); // ollama tool id
+    }
     return val;
   });
 }
@@ -67,3 +71,27 @@ describe("GOLDEN response stream: Gemini → OpenAI", () => {
     expect(runStream(FORMATS.GEMINI, FORMATS.OPENAI, events)).toMatchSnapshot();
   });
 });
+
+describe("GOLDEN response stream: Kiro → OpenAI", () => {
+  it("text + reasoning + toolUse + usage + stop", () => {
+    const events = [
+      { assistantResponseEvent: { content: "Hello" }, _eventType: "assistantResponseEvent" },
+      { reasoningContentEvent: { text: "thinking" }, _eventType: "reasoningContentEvent" },
+      { toolUseEvent: { toolUseId: "tu_1", name: "get_weather", input: { city: "NYC" } }, _eventType: "toolUseEvent" },
+      { usageEvent: { inputTokens: 10, outputTokens: 5 }, _eventType: "usageEvent" },
+      { _eventType: "messageStopEvent" },
+    ];
+    expect(runStream(FORMATS.KIRO, FORMATS.OPENAI, events)).toMatchSnapshot();
+  });
+});
+
+describe("GOLDEN response stream: Ollama → OpenAI", () => {
+  it("content + thinking + tool_calls + done usage", () => {
+    const events = [
+      { model: "qwen3", message: { role: "assistant", content: "Hi", thinking: "reason" } },
+      { model: "qwen3", message: { role: "assistant", tool_calls: [{ function: { name: "search", arguments: { q: "x" } } }] } },
+      { model: "qwen3", done: true, done_reason: "stop", prompt_eval_count: 8, eval_count: 4 },
+    ];
+    expect(runStream(FORMATS.OLLAMA, FORMATS.OPENAI, events)).toMatchSnapshot();
+  });
+});