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feat: 实现 executor 流式执行路径及完善 gateway 多格式 plan 构建

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- Rust executor 新增流式 plan 支持，覆盖 openai/claude/gemini 的 chat/cli/video 格式
- Gateway 新增 finalize-sync、report-stream 端点及 stream report 模型
- 新增 video sync 操作(create/cancel/remix/delete)的 plan 构建
- 修正 OpenAI Responses(openai:cli) SSE 格式: 添加 event: 行、移除 [DONE] 哨兵
- 统一 OpenAI CLI normalizer 的 ID 生成方法
This commit is contained in:
fawney19
2026-03-21 15:51:37 +08:00
parent 53bb23b510
commit 455234e797
14 changed files with 7692 additions and 39 deletions
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147
tests/core/api_format/conversion/test_cli_conversion.py
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@@ -147,9 +147,11 @@ def test_claude_response_to_openai_cli() -> None:
openai_cli_resp = reg.convert_response(claude_resp, "claude:chat", "openai:cli")
assert openai_cli_resp["object"] == "response"
assert openai_cli_resp["id"] == "resp_1"
assert isinstance(openai_cli_resp.get("output"), list)
msg = cast(dict[str, Any], openai_cli_resp["output"][0])
assert msg["type"] == "message"
assert msg["id"] == "msg_1"
assert msg["role"] == "assistant"
content = cast(list[dict[str, Any]], msg.get("content") or [])
assert content and content[0]["type"] == "output_text"
@@ -174,9 +176,66 @@ def test_stream_openai_to_openai_cli_delta() -> None:
assert isinstance(out_events, list) and out_events
created = [e for e in out_events if e.get("type") == "response.created"]
assert created
assert cast(dict[str, Any], created[0]["response"])["id"] == "resp_1"
deltas = [e for e in out_events if e.get("type") == "response.output_text.delta"]
assert deltas
assert deltas[0].get("delta") == "hi"
assert deltas[0].get("item_id") == "msg_1"
assert deltas[0].get("output_index") == 0
assert deltas[0].get("content_index") == 0
assert deltas[0].get("logprobs") == []
def test_stream_openai_to_openai_cli_usage_only_chunk_does_not_duplicate_completion() -> None:
reg = _make_registry_with_cli()
state = StreamState()
chunks = [
{
"id": "chatcmpl-dup-stop",
"object": "chat.completion.chunk",
"created": 1,
"model": "gpt-4o-mini",
"choices": [{"index": 0, "delta": {"role": "assistant", "content": ""}}],
},
{
"id": "chatcmpl-dup-stop",
"object": "chat.completion.chunk",
"created": 1,
"model": "gpt-4o-mini",
"choices": [{"index": 0, "delta": {"content": "Hi"}}],
},
{
"id": "chatcmpl-dup-stop",
"object": "chat.completion.chunk",
"created": 1,
"model": "gpt-4o-mini",
"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
},
{
"id": "chatcmpl-dup-stop",
"object": "chat.completion.chunk",
"created": 1,
"model": "gpt-4o-mini",
"choices": [],
"usage": {
"prompt_tokens": 11,
"completion_tokens": 11,
"total_tokens": 22,
},
},
]
all_events: list[dict[str, Any]] = []
for chunk in chunks:
all_events.extend(reg.convert_stream_chunk(chunk, "openai:chat", "openai:cli", state=state))
assert sum(1 for e in all_events if e.get("type") == "response.output_text.done") == 1
assert sum(1 for e in all_events if e.get("type") == "response.content_part.done") == 1
assert sum(1 for e in all_events if e.get("type") == "response.output_item.done") == 1
assert sum(1 for e in all_events if e.get("type") == "response.completed") == 1
completed = next(e for e in all_events if e.get("type") == "response.completed")
assert cast(dict[str, Any], completed["response"])["id"] == "resp_dup-stop"
def test_stream_openai_cli_to_openai_delta() -> None:
@@ -201,6 +260,94 @@ def test_stream_openai_cli_to_openai_delta() -> None:
assert cast(dict[str, Any], delta).get("content") == "hi"
def test_stream_openai_cli_to_openai_accepts_msg_chatcmpl_item_ids() -> None:
reg = _make_registry_with_cli()
state = StreamState()
cli_chunks: list[dict[str, Any]] = [
{
"type": "response.created",
"response": {
"id": "chatcmpl-abc123",
"object": "response",
"model": "gpt-4o-mini",
"status": "in_progress",
"output": [],
},
},
{
"type": "response.output_item.added",
"output_index": 0,
"item": {
"id": "msg_chatcmpl-abc123",
"type": "message",
"status": "in_progress",
"role": "assistant",
"content": [],
},
},
{
"type": "response.content_part.added",
"item_id": "msg_chatcmpl-abc123",
"output_index": 0,
"content_index": 0,
"part": {"type": "output_text", "text": "", "annotations": []},
},
{
"type": "response.output_text.delta",
"item_id": "msg_chatcmpl-abc123",
"output_index": 0,
"content_index": 0,
"delta": "hi",
"logprobs": [],
},
{
"type": "response.output_text.done",
"item_id": "msg_chatcmpl-abc123",
"output_index": 0,
"content_index": 0,
"text": "hi",
"logprobs": [],
},
{
"type": "response.output_item.done",
"output_index": 0,
"item": {
"id": "msg_chatcmpl-abc123",
"type": "message",
"status": "completed",
"role": "assistant",
"content": [{"type": "output_text", "text": "hi", "annotations": []}],
},
},
{
"type": "response.completed",
"response": {
"id": "chatcmpl-abc123",
"object": "response",
"model": "gpt-4o-mini",
"status": "completed",
"output": [],
"usage": {"input_tokens": 5, "output_tokens": 2, "total_tokens": 7},
},
},
]
all_events: list[dict[str, Any]] = []
for chunk in cli_chunks:
events = reg.convert_stream_chunk(chunk, "openai:cli", "openai:chat", state=state)
all_events.extend(events)
assert any(
cast(dict[str, Any], cast(list[Any], e.get("choices") or [])[0])
.get("delta", {})
.get("content")
== "hi"
for e in all_events
if isinstance(e, dict) and isinstance(e.get("choices"), list) and e.get("choices")
)
def test_openai_cli_function_call_to_claude() -> None:
"""测试 OpenAI CLI 的 function_call/function_call_output 转换为 Claude tool_use/tool_result"""
reg = _make_registry_with_cli()