From 471fa7ee17a2be2adf2c12dfd142908a7574ca03 Mon Sep 17 00:00:00 2001 From: zk Date: Thu, 28 May 2026 14:34:33 +0800 Subject: [PATCH] =?UTF-8?q?=E5=85=A8=E9=83=A8=E5=88=87=E6=8D=A2=E6=88=90?= =?UTF-8?q?=20deepseek=20=20V4=20flash?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/ai/model_config.py | 30 +++++++++++++++--------------- app/ai/models.py | 6 ++++-- 2 files changed, 19 insertions(+), 17 deletions(-) diff --git a/app/ai/model_config.py b/app/ai/model_config.py index 45a4c01..6853405 100644 --- a/app/ai/model_config.py +++ b/app/ai/model_config.py @@ -9,52 +9,52 @@ from app.ai.models import LLM class SkillGapModel: """技能差距分析模块""" # 技能差距识别：对比简历与岗位技能标签，输出缺失技能列表 - ANALYSIS = LLM.DOUBAO_LITE_32K.create(temperature=0) + ANALYSIS = LLM.DEEPSEEK_V4_FLASH.create(temperature=0) # 个人概述优化：将缺失技能关键词融入 summary - SUMMARY = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + SUMMARY = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) # 经历描述优化：针对目标岗位优化单条经历的 description - EXPERIENCE = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + EXPERIENCE = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) # Agent规划：解析用户自然语言指令，拆解为原子编辑操作列表 - AGENT_PLAN = LLM.DOUBAO_LITE_32K.create(temperature=0) + AGENT_PLAN = LLM.DEEPSEEK_V4_FLASH.create(temperature=0) # Agent执行-修改：按指令修改简历中的单条记录 - AGENT_EDIT = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + AGENT_EDIT = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) # Agent执行-新增：按指令生成一条新的简历记录 - AGENT_ADD = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + AGENT_ADD = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) class JobAgentModel: """求职助手Agent模块""" # 多轮对话：理解用户求职意图，返回结构化回复(message+tool调用) - CHAT = LLM.ZM_GPT_5_4.create(temperature=0.7) + CHAT = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.7) # 岗位简历-summary优化：针对具体岗位JD优化个人概述 - SUMMARY = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + SUMMARY = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) # 岗位简历-经历优化：针对具体岗位JD优化单条经历描述 - EXPERIENCE = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + EXPERIENCE = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) class NovaChatModel: """Nova智能聊天模块""" # 通用对话：基于简历和岗位上下文的自由问答，返回Markdown文本 - CHAT = LLM.DOUBAO_LITE_32K.create(temperature=0.7) + CHAT = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.7) class ResumeExtractorModel: """简历解析模块""" # 简历结构化提取：两阶段并行提取简历文本为JSON结构 - PARSE = LLM.DOUBAO_LITE_32K.create(temperature=0) + PARSE = LLM.DEEPSEEK_V4_FLASH.create(temperature=0) class DiagnoserModel: """简历诊断模块""" # 模块诊断：逐条分析经历记录的问题(错别字/无量化/弱相关等) - MODULE = LLM.DOUBAO_LITE_32K.create(temperature=0) + MODULE = LLM.DEEPSEEK_V4_FLASH.create(temperature=0) # 整体评价：汇总所有诊断结果生成总结性评语 - SUMMARY = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + SUMMARY = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) # 内容润色：用户编辑后的文本做专业润色 - POLISH = LLM.DOUBAO_LITE_32K.create(temperature=0.3) + POLISH = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) class BrowserPlugModel: """浏览器插件模块""" # 表单自动填写：根据简历+岗位信息生成招聘网站表单字段的回答 - FORM_FILL = LLM.DOUBAO_PRO_32K.create(temperature=0.3) + FORM_FILL = LLM.DEEPSEEK_V4_FLASH.create(temperature=0.3) diff --git a/app/ai/models.py b/app/ai/models.py index ef1caf1..1986f7a 100644 --- a/app/ai/models.py +++ b/app/ai/models.py @@ -28,8 +28,10 @@ class LLM(Enum): DOUBAO_PRO_32K = ("doubao-1-5-pro-32k-250115", *_VOLCENGINE) DOUBAO_LITE_32K = ("doubao-1-5-lite-32k-250115", *_VOLCENGINE) - DEEPSEEK_V3 = ("deepseek-v3-250324", *_VOLCENGINE) - DEEPSEEK_R1 = ("deepseek-r1-250528", *_VOLCENGINE) + + DEEPSEEK_V4_FLASH = ("deepseek-v4-flash-260425", *_VOLCENGINE) + DEEPSEEK_V4_PRO = ("deepseek-v4-pro-260425", *_VOLCENGINE) + DOUBAO_SEED_MINI = ("doubao-seed-2-0-mini-260215", *_VOLCENGINE) DOUBAO_SEED_LITE = ("doubao-seed-2-0-lite-260215", *_VOLCENGINE) DOUBAO_SEED_PRO = ("doubao-seed-2-0-pro-260215", *_VOLCENGINE)