按原型图重构核心页面并完善生成链路

backend/services/ai_service.py

@@ -2,6 +2,7 @@ import asyncio
 import json
 import re
 from dataclasses import dataclass
+from urllib.parse import urlparse
 
 import httpx
 
@@ -60,6 +61,10 @@ def _build_prompt(paragraph: Paragraph) -> tuple[str, str]:
 
 def _normalize_openai_endpoint(api_endpoint: str) -> str:
     endpoint = api_endpoint.rstrip("/")
+    parsed = urlparse(endpoint if "://" in endpoint else f"https://{endpoint}")
+    host = parsed.netloc or parsed.path.split("/")[0]
+    if host == "api.deepseek.com":
+        return "https://api.deepseek.com/chat/completions"
     if endpoint.endswith("/chat/completions"):
         return endpoint
     if endpoint.endswith("/v1"):
@@ -88,7 +93,7 @@ async def _post_with_retry(
             response = await client.post(url, headers=headers, json=payload)
             if response.status_code in (429, 500, 502, 503, 504):
                 raise httpx.HTTPStatusError(
-                    f"上游模型响应异常: {response.status_code}",
+                    f"上游模型响应异常: {response.status_code} - {response.text[:500]}",
                     request=response.request,
                     response=response,
                 )
@@ -99,7 +104,10 @@ async def _post_with_retry(
             if attempt == settings.AI_MAX_RETRIES - 1:
                 break
             await asyncio.sleep(2 ** attempt)
-    raise RuntimeError(f"模型调用失败：{last_error}")
+    error_message = str(last_error)
+    if isinstance(last_error, httpx.HTTPStatusError) and last_error.response is not None:
+        error_message = f"{error_message}\n响应内容: {last_error.response.text[:1000]}"
+    raise RuntimeError(f"模型调用失败：{error_message}")
 
 
 async def _call_openai_compatible(model: AiModel, system_prompt: str, user_prompt: str) -> AiCallResult:
@@ -116,7 +124,7 @@ async def _call_openai_compatible(model: AiModel, system_prompt: str, user_promp
         "temperature": 0.3,
     }
     headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
-    async with httpx.AsyncClient(timeout=settings.AI_REQUEST_TIMEOUT) as client:
+    async with httpx.AsyncClient(timeout=settings.AI_REQUEST_TIMEOUT, trust_env=False) as client:
         response = await _post_with_retry(client, _normalize_openai_endpoint(model.api_endpoint), headers, payload)
     body = response.json()
     text = body["choices"][0]["message"]["content"]
@@ -139,7 +147,7 @@ async def _call_anthropic(model: AiModel, system_prompt: str, user_prompt: str)
         "anthropic-version": "2023-06-01",
         "content-type": "application/json",
     }
-    async with httpx.AsyncClient(timeout=settings.AI_REQUEST_TIMEOUT) as client:
+    async with httpx.AsyncClient(timeout=settings.AI_REQUEST_TIMEOUT, trust_env=False) as client:
         response = await _post_with_retry(client, _normalize_anthropic_endpoint(model.api_endpoint), headers, payload)
     body = response.json()
     text = ""