使用快速模型
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@@ -45,7 +45,7 @@ async def analyze_skill_gap(skill_tags: list[str], resume_json: str) -> list[str
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_summary_optimize_chain = (
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_summary_optimize_chain = (
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ChatPromptTemplate.from_messages([("system", SUMMARY_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
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ChatPromptTemplate.from_messages([("system", SUMMARY_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
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| LLM.DOUBAO_PRO_32K.create(temperature=0.3)
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| LLM.DOUBAO_LITE_32K.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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@@ -69,7 +69,7 @@ async def optimize_summary(job_title: str, add_skills: list[str], original_summa
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_experience_optimize_chain = (
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_experience_optimize_chain = (
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ChatPromptTemplate.from_messages([("system", EXPERIENCE_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
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ChatPromptTemplate.from_messages([("system", EXPERIENCE_OPTIMIZE_PROMPT), ("human", "请开始优化。")])
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| LLM.DOUBAO_PRO_32K.create(temperature=0.3)
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| LLM.DOUBAO_LITE_32K.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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