修改模型
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@@ -94,7 +94,7 @@ async def optimize_module(job_title: str, job_description: str, module_data: str
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_plan_chain = (
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_plan_chain = (
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ChatPromptTemplate.from_messages([("system", AGENT_PLAN_PROMPT), ("human", "请分析用户指令。")])
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ChatPromptTemplate.from_messages([("system", AGENT_PLAN_PROMPT), ("human", "请分析用户指令。")])
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| LLM.DOUBAO_PRO_32K.create(temperature=0)
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| LLM.ZM_GPT_5_4.create(temperature=0)
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| StrOutputParser()
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| StrOutputParser()
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)
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)
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@@ -119,7 +119,7 @@ async def plan_edit(job_title: str, job_description: str, resume_json: str,
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_record_edit_chain = (
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_record_edit_chain = (
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ChatPromptTemplate.from_messages([("system", AGENT_MODULE_EDIT_PROMPT), ("human", "请执行修改。")])
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ChatPromptTemplate.from_messages([("system", AGENT_MODULE_EDIT_PROMPT), ("human", "请执行修改。")])
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| LLM.DOUBAO_PRO_32K.create(temperature=0.3)
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| LLM.ZM_GPT_5_4.create(temperature=0.3)
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| StrOutputParser()
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| StrOutputParser()
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)
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)
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@@ -144,7 +144,7 @@ async def execute_record_edit(job_title: str, job_description: str, instruction:
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_record_add_chain = (
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_record_add_chain = (
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ChatPromptTemplate.from_messages([("system", AGENT_MODULE_ADD_PROMPT), ("human", "请生成新记录。")])
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ChatPromptTemplate.from_messages([("system", AGENT_MODULE_ADD_PROMPT), ("human", "请生成新记录。")])
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| LLM.DOUBAO_PRO_32K.create(temperature=0.3)
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| LLM.ZM_GPT_5_4.create(temperature=0.3)
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| StrOutputParser()
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| StrOutputParser()
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)
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)
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