init(all)：一个让codex调用deepseek模型的项目

routers/proxy.py

@@ -0,0 +1,60 @@
+"""
+代理路由模块
+
+提供 OpenAI Responses API ↔ DeepSeek Chat API 的流式转发端点。
+"""
+
+import uuid
+
+from fastapi import APIRouter, Request
+from fastapi.responses import StreamingResponse
+
+from app.config import MODEL_DEFAULT, DEEPSEEK_DEBUG
+from services.converter import extract_messages
+from services.stream import create_sse_generator, _log_debug
+
+router = APIRouter()
+
+
+async def _handle_proxy(request: Request):
+    """处理 /responses 系列请求的核心逻辑"""
+    req_data = await request.json()
+    messages, tools, tool_choice = extract_messages(req_data)
+    # 中间件 resolve_model 已解析的模型优先级最高
+    effective_model = (
+        getattr(request.state, "resolved_model", None)
+        or req_data.get("model")
+        or MODEL_DEFAULT
+    )
+    response_id = f"resp_{uuid.uuid4().hex[:12]}"
+
+    if DEEPSEEK_DEBUG:
+        _log_debug(req_data, messages, tools, tool_choice, request.url.path)
+
+    stream_gen = create_sse_generator(
+        messages, tools, tool_choice, effective_model, response_id, debug_path=request.url.path
+    )
+
+    return StreamingResponse(
+        stream_gen(),
+        media_type="text/event-stream",
+        headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
+    )
+
+
+@router.post("/responses")
+async def route_responses(request: Request):
+    """OpenAI Responses API 格式的流式代理端点"""
+    return await _handle_proxy(request)
+
+
+@router.post("/v1/responses")
+async def route_v1_responses(request: Request):
+    """OpenAI Responses API (v1) 格式的流式代理端点"""
+    return await _handle_proxy(request)
+
+
+@router.post("/v1/chat/completions")
+async def route_v1_chat(request: Request):
+    """Chat Completions API 格式的流式代理端点（兼容模式）"""
+    return await _handle_proxy(request)