添加模型

app/ai/models.py

@@ -18,6 +18,7 @@ _VOLCENGINE = (lambda: settings.volcengine_api_key, lambda: settings.volcengine_
 _JIAYU = (lambda: settings.jiayu_api_key, lambda: settings.jiayu_base_url)
 _JIEKOU = (lambda: settings.jiekou_api_key, lambda: settings.jiekou_base_url)
 
+_ZM = (lambda: settings.zm_api_key, lambda: settings.zm_base_url)
 
 
 class LLM(Enum):
@@ -47,6 +48,15 @@ class LLM(Enum):
     JIAYU_MINIMAX_M2_5 = ("minimax-m2.5", *_JIAYU)
 
 
+    # ZM
+    ZM_GPT_5_5 = ("gpt-5.5", *_ZM)
+    ZM_GPT_5_4 = ("gpt-5.4", *_ZM)
+    ZM_GPT_5_4_MINI = ("gpt-5.4-mini", *_ZM)
+    ZM_GPT_5_2 = ("gpt-5.2", *_ZM)
+    ZM_GPT_4O = ("gpt-5.5", *_ZM)
+
+
+
     def __init__(self, model_name: str, api_key_fn, base_url_fn):
         self.model_name = model_name
         self._api_key_fn = api_key_fn

app/ai/resume_diagnoser/diagnoser.py

@@ -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.JIAYU_CLAUDE_SONNET_4_5.create(temperature=0)
+    | LLM.ZM_GPT_5_5.create(temperature=0)
     | 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.JIAYU_CLAUDE_SONNET_4_5.create(temperature=0.3)
+    | LLM.ZM_GPT_5_5.create(temperature=0.3)
     | StrOutputParser()
 )