统一抽象 封装 模型配置配置管理

app/ai/resume_diagnoser/diagnoser.py

@@ -5,7 +5,7 @@ import asyncio
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 
-from app.ai.models import LLM
+from app.ai.model_config import DiagnoserModel
 from app.ai.resume_diagnoser.prompts import DIAGNOSE_MODULE_PROMPT, SUMMARY_PROMPT, POLISH_PROMPT
 from app.core.logger import log
 from app.tool.json_helper import parse_llm_json
@@ -14,14 +14,14 @@ from app.tool.json_helper import parse_llm_json
 # 诊断链（StrOutputParser 拿原始文本，再手动解析 JSON，避免 markdown 代码块导致解析失败）
 _diagnose_chain = (
     ChatPromptTemplate.from_messages([("system", DIAGNOSE_MODULE_PROMPT), ("human", "请开始诊断。")])
-    | LLM.ZM_GPT_5_4_MINI.create(temperature=0)
+    | DiagnoserModel.MODULE
     | StrOutputParser()
 )
 
 # 汇总评价链（纯文本输出）
 _summary_chain = (
     ChatPromptTemplate.from_messages([("system", SUMMARY_PROMPT), ("human", "请生成整体评价。")])
-    | LLM.ZM_GPT_5_4_MINI.create(temperature=0.3)
+    | DiagnoserModel.SUMMARY
     | StrOutputParser()
 )
 
@@ -55,7 +55,7 @@ async def generate_summary(grade: str, urgent_total: int, important_total: int,
 
 _polish_chain = (
     ChatPromptTemplate.from_messages([("system", POLISH_PROMPT), ("human", "请开始优化。")])
-    | LLM.JIAYU_CLAUDE_SONNET_4_5.create(temperature=0.3)
+    | DiagnoserModel.POLISH
     | StrOutputParser()
 )