回退旧版本

adapters/openai_compat_fixer.py

@@ -13,7 +13,7 @@ from __future__ import annotations
 
 import json
 import logging
-from typing import Any, Iterator
+from typing import Any
 
 from utils.http import gen_id
 from utils.think_tag import extract_from_text
@@ -423,60 +423,3 @@ def _rewrite_function_call_finish_reason(choice: JsonDict) -> None:
     """将旧版 finish_reason=function_call 升级为 tool_calls。"""
     if choice.get('finish_reason') == 'function_call':
         choice['finish_reason'] = 'tool_calls'
-
-
-# ═══════════════════════════════════════════════════════════
-#  OutboundTransformer 实现: OpenAI Chat
-# ═══════════════════════════════════════════════════════════
-
-
-class OpenAIChatOutbound:
-    """OpenAI Chat Completions 后端的出站转换器。
-
-    由于 CC 本身就是 OpenAI Chat 格式，请求/响应转换主要做兼容性修复。
-    """
-
-    def build_request(self, payload: JsonDict) -> JsonDict:
-        return normalize_request(payload)
-
-    def build_url(self, ctx) -> str:
-        return f'{ctx.target_url.rstrip("/")}/v1/chat/completions'
-
-    def build_headers(self, ctx) -> dict[str, str]:
-        from utils.http import build_openai_headers
-        return build_openai_headers(ctx.api_key)
-
-    def parse_response(self, raw: JsonDict) -> JsonDict:
-        return fix_response(raw)
-
-    def create_stream_processor(self) -> OpenAIChatStreamProcessor:
-        return OpenAIChatStreamProcessor()
-
-
-class OpenAIChatStreamProcessor:
-    """OpenAI Chat SSE 流式处理器。
-
-    包装 iter_openai_sse + fix_stream_chunk + ThinkTagExtractor。
-    """
-
-    def __init__(self):
-        from utils.think_tag import ThinkTagExtractor
-        self._think_extractor = ThinkTagExtractor()
-
-    def iter_events(self, response) -> Iterator:
-        from utils.http import iter_openai_sse
-        for chunk in iter_openai_sse(response):
-            if chunk is None:
-                return
-            yield chunk
-
-    def process_event(self, event: JsonDict) -> list[JsonDict]:
-        chunk = fix_stream_chunk(event)
-        return list(self._think_extractor.process_chunk(chunk))
-
-    def extract_usage(self, event: JsonDict) -> JsonDict | None:
-        return event.get('usage')
-
-    def finalize(self) -> list[JsonDict]:
-        close_chunk = self._think_extractor.finalize()
-        return [close_chunk] if close_chunk else []