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refactor(open-sse): extract chunkBuilder, dedup chat.completion.chunk (B1)

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Add helpers/chunkBuilder.js; apply to claude/gemini/kiro/ollama/commandcode/
openai-responses response translators. Caller supplies id/created/model so each
keeps exact id-generation + usage semantics. Extend golden response stream to
openai-responses (codex). No behavior change; gate: no regression.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
decolua
2026-06-13 17:05:42 +07:00
co-authored by Cursor
parent 0e34358e74
commit 17202f7111
10 changed files with 270 additions and 295 deletions
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tests/translator/__snapshots__/golden-response-stream.test.js.snap
+123
View File
@@ -445,3 +445,126 @@ exports[`GOLDEN response stream: Ollama → OpenAI > content + thinking + tool_c
},
]
`;
exports[`GOLDEN response stream: OpenAI-Responses (codex) → OpenAI > error event → error chunk (fallback id/created) 1`] = `
[
{
"choices": [
{
"delta": {
"content": "[Error] model_not_found",
},
"finish_reason": "stop",
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
},
]
`;
exports[`GOLDEN response stream: OpenAI-Responses (codex) → OpenAI > text + reasoning + tool_call + completed usage 1`] = `
[
{
"choices": [
{
"delta": {
"content": "Hello",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"reasoning_content": "thinking",
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"tool_calls": [
{
"function": {
"arguments": "",
"name": "get_weather",
},
"id": "call_1",
"index": 0,
"type": "function",
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {
"tool_calls": [
{
"function": {
"arguments": "{"city":"NYC"}",
},
"index": 0,
},
],
},
"finish_reason": null,
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
},
{
"choices": [
{
"delta": {},
"finish_reason": "tool_calls",
"index": 0,
},
],
"created": 0,
"id": "chatcmpl-<TS>",
"model": "unknown",
"object": "chat.completion.chunk",
"usage": {
"completion_tokens": 5,
"prompt_tokens": 10,
"prompt_tokens_details": {
"cached_tokens": 3,
},
"total_tokens": 15,
},
},
]
`;
tests/translator/golden-response-stream.test.js
+21
View File
@@ -95,3 +95,24 @@ describe("GOLDEN response stream: Ollama → OpenAI", () => {
expect(runStream(FORMATS.OLLAMA, FORMATS.OPENAI, events)).toMatchSnapshot();
});
});
describe("GOLDEN response stream: OpenAI-Responses (codex) → OpenAI", () => {
it("text + reasoning + tool_call + completed usage", () => {
const events = [
{ type: "response.output_text.delta", delta: "Hello" },
{ type: "response.reasoning_summary_text.delta", delta: "thinking" },
{ type: "response.output_item.added", item: { type: "function_call", call_id: "call_1", name: "get_weather" } },
{ type: "response.function_call_arguments.delta", delta: '{"city":"NYC"}' },
{ type: "response.output_item.done", item: { type: "function_call" } },
{ type: "response.completed", response: { usage: { input_tokens: 10, output_tokens: 5, input_tokens_details: { cached_tokens: 3 } } } },
];
expect(runStream(FORMATS.OPENAI_RESPONSES, FORMATS.OPENAI, events)).toMatchSnapshot();
});
it("error event → error chunk (fallback id/created)", () => {
const events = [
{ type: "error", error: { message: "model_not_found" } },
];
expect(runStream(FORMATS.OPENAI_RESPONSES, FORMATS.OPENAI, events)).toMatchSnapshot();
});
});