216 lines
7.4 KiB
YAML
216 lines
7.4 KiB
YAML
# Offline backend template for DeerFlow
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config_version: 8
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log_level: info
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# Gateway FastAPI 监听端口。圆桌三路由(intent / recommend / multi_agent)的同进程
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# loopback 调用会拼 http://127.0.0.1:<port> 打到本机其它 endpoint,所以必须与
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# 实际监听端口一致(scripts/start-all.sh、Makefile 默认 8001)。
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# 部署机改了端口请同步改这里;也可设环境变量 DEER_FLOW_GATEWAY_PORT 临时覆盖。
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gateway:
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port: 8001
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models:
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- name: deepseek-chat
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display_name: DeepSeek Chat
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use: langchain_openai:ChatOpenAI
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model: deepseek-chat
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api_key: sk-e1c22b7931dc446f8b67e57878edd105
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base_url: https://api.deepseek.com
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request_timeout: 600.0
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max_retries: 2
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max_tokens: 4096
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temperature: 1.0
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supports_vision: true
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supports_thinking: true
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- name: deepseek-v4-flash
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display_name: DeepSeek V4 Flash
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use: langchain_openai:ChatOpenAI
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model: deepseek-v4-flash
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api_key: sk-e1c22b7931dc446f8b67e57878edd105
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base_url: https://api.deepseek.com
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request_timeout: 600.0
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max_retries: 2
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max_tokens: 4096
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temperature: 1.0
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supports_vision: true
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supports_thinking: true
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- name: deepseek-v4-pro
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display_name: DeepSeek V4 Pro
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use: langchain_openai:ChatOpenAI
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model: deepseek-v4-pro
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api_key: sk-e1c22b7931dc446f8b67e57878edd105
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base_url: https://api.deepseek.com
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request_timeout: 600.0
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max_retries: 2
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max_tokens: 4096
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temperature: 1.0
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supports_vision: true
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supports_thinking: true
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- name: MiniMax-M2.7
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display_name: MiniMax-M2.7
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use: langchain_openai:ChatOpenAI
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model: MiniMax-M2.7
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api_key: sk-cp-mrsAGtzDpUl0TpOBPVoiRG_pWF1kDDN9_mDAnONBs6HIPcNUexSKtSbx2QOxfKBvJT6Xw6hDTV6hdkJYFWfNA8UtHQ08TiGJiosdRoW6q1sGb6Cb7D85NHk
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base_url: https://api.minimaxi.com/v1
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max_tokens: 4096
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temperature: 1.0
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supports_vision: true
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supports_thinking: true
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title:
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enabled: true
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max_words: 6
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max_chars: 60
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prompt_template: |
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请为下面这段对话生成一个简洁的标题,概括对话的核心主题。
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要求:
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- 标题必须使用简体中文
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- 尽量精炼,不超过 {max_words} 个词
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- 只返回标题本身,不要加引号、不要解释、结尾不要标点
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User: {user_msg}
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Assistant: {assistant_msg}
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tool_groups:
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- name: web
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- name: file:read
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- name: file:write
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- name: bash
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tools:
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- name: web_search
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group: web
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use: deerflow.community.ddg_search.tools:web_search_tool
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max_results: 5
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- name: ls
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group: file:read
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use: deerflow.sandbox.tools:ls_tool
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- name: read_file
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group: file:read
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use: deerflow.sandbox.tools:read_file_tool
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- name: glob
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group: file:read
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use: deerflow.sandbox.tools:glob_tool
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max_results: 200
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- name: grep
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group: file:read
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use: deerflow.sandbox.tools:grep_tool
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max_results: 100
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- name: write_file
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group: file:write
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use: deerflow.sandbox.tools:write_file_tool
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- name: str_replace
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group: file:write
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use: deerflow.sandbox.tools:str_replace_tool
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- name: bash
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group: bash
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use: deerflow.sandbox.tools:bash_tool
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sandbox:
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use: deerflow.sandbox.local:LocalSandboxProvider
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allow_host_bash: true
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skills:
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path: D:\project\bj\deerflow-server\skills
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security_scan:
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enabled: false
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agents_api:
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enabled: true
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database:
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backend: sqlite
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sqlite_dir: .deer-flow/data
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pool_size: 10
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echo_sql: false
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checkpointer:
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type: sqlite
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connection_string: D:\05271502\deerflow-server\offline-backend-20260512\backend\.deer-flow\data\deerflow.db
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# 记忆子系统:跨会话持久化用户画像与 agent 私有记忆。
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# 三层覆盖优先级(高->低):
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# users/{user_id}/memory_config.json > .deer-flow/memory_user_overrides.json > 此处
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memory:
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enabled: true
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version: v1 # 记忆版本: 'v1'(原版 DeerFlow, memory.json + LLM 自动提取)
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# 'v2'(USER.md/MEMORY.md + 可选 Hindsight)
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provider: hindsight # 'builtin' | 'hindsight'(外部 provider 名)
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# builtin 始终启用,这里只决定 external 选哪个
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# (version=v1 时此字段忽略)
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# V1 专属配置 —— version=v1 时生效
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v1:
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max_facts: 100 # 最多保留的事实条数,超出时驱逐最低置信度的事实
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fact_confidence_threshold: 0.7 # 事实置信度阈值,低于此值不保存
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debounce_seconds: 30 # 对话结束后延迟多少秒才触发 LLM 提取
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model_name: "" # 用于事实提取的 LLM 模型名;空则继承全局默认模型
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token_budget: 2000 # 注入系统提示词的 token 预算
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builtin:
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enabled: true
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memory_char_limit: 2200
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user_char_limit: 1375
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deduplicate_on_load: true
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hindsight: # provider=hindsight 时生效,需另行部署 Hindsight 服务
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mode: local_external # 'cloud' | 'local_embedded' | 'local_external'
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api_url: http://47.88.25.99:18888
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api_key: "" # 部署 Hindsight 后填,或改成 $HINDSIGHT_API_KEY 并设同名环境变量
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# 注意:写成 $VAR 但环境变量未设置会导致配置加载失败
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bank_id_template: "deerflow-user-{user_id}"
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work_bank_id_template: "deerflow-work-{user_id}-{agent_id}"
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memory_mode: context # 'context' | 'tools' | 'hybrid'
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bank_mission: "你是一个中文记忆助手，负责从对话中提炼和存储重要信息。所有记忆内容必须使用中文记录。"
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bank_retain_mission: "请从以下对话中提炼重要信息，包括用户的偏好、需求、背景知识和关键事实。所有提炼的内容必须用中文表达。"
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recall_budget: mid # 'low' | 'mid' | 'high'
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recall_max_tokens: 4096
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recall_max_input_chars: 800
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auto_recall: true
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auto_retain: true
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retain_async: true
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retain_every_n_turns: 1
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retain_user_prefix: "User"
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retain_assistant_prefix: "Assistant"
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# background_extraction:预留功能,代码尚未实现 —— 仅设计文档存在。
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# 待对应版本支持后,取消下面整段注释即可启用(漏记兜底)。
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# background_extraction:
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# enabled: false # 默认关闭,作为漏记兜底
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# debounce_seconds: 30
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# model_name: ~ # null = 用默认模型
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# fact_confidence_threshold: 0.7
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# max_facts_per_extraction: 10
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# correction_detection: true
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# reinforcement_detection: true
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injection:
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enabled: true
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max_tokens: 2000
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include_builtin: true
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include_hindsight: true
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context_tag: "memory-context" # 包裹 Hindsight recall 的标签名
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security:
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scan_content: true # 注入/外渗模式扫描
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block_invisible_unicode: true
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# streaming_scrubber:预留字段,代码尚未实现 —— 待版本支持后取消注释。
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# streaming_scrubber: true # SSE 流前清洗 <memory-context>
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# AI 写作子系统 —— 素材收集专家专用配置。
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# 注意：这三项必须嵌套在 ai_writing: 段下；写到顶层会被 _ai_writing_config()
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# (app/gateway/routers/ai_writing.py:_ai_writing_config) 直接忽略。
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ai_writing:
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keyword_model: deepseek-chat # 检索词生成专用模型，留空回退写作主模型
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rank_model: deepseek-chat # 素材排序专用模型，留空回退写作主模型
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max_materials: 20 # 合并去重后的素材总量上限，范围 [1, 100]，默认 20
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