deerflow-code/offline-backend-20260512/config.yaml

config_version: 8
log_level: info
models:
- name: deepseek-chat
  display_name: DeepSeek Chat
  use: langchain_openai:ChatOpenAI
  model: deepseek-chat
  api_key: sk-e1c22b7931dc446f8b67e57878edd105
  base_url: https://api.deepseek.com
  request_timeout: 600.0
  max_retries: 2
  max_tokens: 4096
  temperature: 1.0
  supports_vision: true
  supports_thinking: true
- name: deepseek-v4-flash
  display_name: DeepSeek V4 Flash
  use: langchain_openai:ChatOpenAI
  model: deepseek-v4-flash
  api_key: sk-e1c22b7931dc446f8b67e57878edd105
  base_url: https://api.deepseek.com
  request_timeout: 600.0
  max_retries: 2
  max_tokens: 4096
  temperature: 1.0
  supports_vision: true
  supports_thinking: true
- name: deepseek-v4-pro
  display_name: DeepSeek V4 Pro
  use: langchain_openai:ChatOpenAI
  model: deepseek-v4-pro
  api_key: sk-e1c22b7931dc446f8b67e57878edd105
  base_url: https://api.deepseek.com
  request_timeout: 600.0
  max_retries: 2
  max_tokens: 4096
  temperature: 1.0
  supports_vision: true
  supports_thinking: true
- name: minimax-m2.7
  display_name: MiniMax M2.7
  use: langchain_openai:ChatOpenAI
  model: MiniMax-M2.7
  api_key: sk-cp-mrsAGtzDpUl0TpOBPVoiRG_pWF1kDDN9_mDAnONBs6HIPcNUexSKtSbx2QOxfKBvJT6Xw6hDTV6hdkJYFWfNA8UtHQ08TiGJiosdRoW6q1sGb6Cb7D85NHk
  base_url: https://api.minimaxi.com
  max_tokens: 4096
  temperature: 1.0
  supports_vision: true
  supports_thinking: true
- name: minimax-m2.5
  display_name: MiniMax M2.5
  use: langchain_openai:ChatOpenAI
  model: MiniMax-M2.5
  api_key: sk-cp-mrsAGtzDpUl0TpOBPVoiRG_pWF1kDDN9_mDAnONBs6HIPcNUexSKtSbx2QOxfKBvJT6Xw6hDTV6hdkJYFWfNA8UtHQ08TiGJiosdRoW6q1sGb6Cb7D85NHk
  base_url: https://api.minimaxi.com
  max_tokens: 4096
  temperature: 1.0
  supports_vision: true
  supports_thinking: true
tool_groups:
- name: web
- name: file:read
- name: file:write
- name: bash
tools:
- name: web_search
  group: web
  use: deerflow.community.ddg_search.tools:web_search_tool
  max_results: 5
- name: ls
  group: file:read
  use: deerflow.sandbox.tools:ls_tool
- name: read_file
  group: file:read
  use: deerflow.sandbox.tools:read_file_tool
- name: glob
  group: file:read
  use: deerflow.sandbox.tools:glob_tool
  max_results: 200
- name: grep
  group: file:read
  use: deerflow.sandbox.tools:grep_tool
  max_results: 100
- name: write_file
  group: file:write
  use: deerflow.sandbox.tools:write_file_tool
- name: str_replace
  group: file:write
  use: deerflow.sandbox.tools:str_replace_tool
- name: bash
  group: bash
  use: deerflow.sandbox.tools:bash_tool
sandbox:
  use: deerflow.sandbox.local:LocalSandboxProvider
  allow_host_bash: true
title:
  enabled: true
  max_words: 6
  max_chars: 60
  prompt_template: |
    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。

    要求:
    - 标题必须使用简体中文
    - 尽量精炼,不超过 {max_words} 个词
    - 只返回标题本身,不要加引号、不要解释、结尾不要标点

    User: {user_msg}
    Assistant: {assistant_msg}
skills:
  path: /app/skills
agents_api:
  enabled: true
database:
  backend: mysql
  mysql_url: $MYSQL_DATABASE_URL
  pool_size: 10
  echo_sql: false
checkpointer:
  # SQLite 文件路径用相对路径，由 resolve_sqlite_conn_str 解析成绝对路径。
  # Docker 部署：把容器内 .deer-flow 目录挂卷出来即可持久化（撑住容器重启）。
  # 这里同时被「主 agent」和「AI 写作 graph」共用 —— LangGraph 用
  # (thread_id, checkpoint_ns) 做隔离，session_id 是 uuid，不会撞。
  type: sqlite
  connection_string: .deer-flow/data/checkpoints.db
# AI 写作子系统的会话清理配置。
# 业务表(ai_writing_sessions @ MySQL) + checkpointer(checkpoints.db @ SQLite) 联动清理。
# 留意：清理走 cron 表达式调度，默认每天凌晨 3 点跑一次，按 updated_at 一刷拉清。
ai_writing:
  cleanup:
    enabled: true
    retention_days: 7              # 保留 7 天以内的会话，更早的整条删
    cron: "0 3 * * *"              # 每天 03:00 本地时区
    delete_only_finished: false    # false=不看状态一刷拉；true=只清 done/error
    batch_size: 500                # 单批最多删多少行，避免长事务
# 记忆子系统:跨会话持久化用户画像与 agent 私有记忆。
# 三层覆盖优先级(高->低):
#   users/{user_id}/memory_config.json > .deer-flow/memory_user_overrides.json > 此处
memory:
  enabled: true
  provider: hindsight              # 'builtin' | 'hindsight'(外部 provider 名)
                                   # builtin 始终启用,这里只决定 external 选哪个
  builtin:
    enabled: true
    memory_char_limit: 2200
    user_char_limit: 1375
    deduplicate_on_load: true

  hindsight:                       # provider=hindsight 时生效,需另行部署 Hindsight 服务
    mode: local_external           # 'cloud' | 'local_embedded' | 'local_external'
    api_url: http://localhost:8765
    api_key: ""                    # 部署 Hindsight 后填,或改成 $HINDSIGHT_API_KEY 并设同名环境变量
                                   # 注意:写成 $VAR 但环境变量未设置会导致配置加载失败
    bank_id_template: "deerflow-user-{user_id}"
    work_bank_id_template: "deerflow-work-{user_id}-{agent_id}"
    memory_mode: context           # 'context' | 'tools' | 'hybrid'
    bank_mission: ""
    bank_retain_mission: ""
    recall_budget: mid             # 'low' | 'mid' | 'high'
    recall_max_tokens: 4096
    recall_max_input_chars: 800
    auto_recall: true
    auto_retain: true
    retain_async: true
    retain_every_n_turns: 1
    retain_user_prefix: "User"
    retain_assistant_prefix: "Assistant"

  # background_extraction:预留功能,代码尚未实现 —— 仅设计文档存在。
  # 待对应版本支持后,取消下面整段注释即可启用(漏记兜底)。
  # background_extraction:
  #   enabled: false                 # 默认关闭,作为漏记兜底
  #   debounce_seconds: 30
  #   model_name: ~                  # null = 用默认模型
  #   fact_confidence_threshold: 0.7
  #   max_facts_per_extraction: 10
  #   correction_detection: true
  #   reinforcement_detection: true

  injection:
    enabled: true
    max_tokens: 2000
    include_builtin: true
    include_hindsight: true
    context_tag: "memory-context"  # 包裹 Hindsight recall 的标签名

  security:
    scan_content: true             # 注入/外渗模式扫描
    block_invisible_unicode: true
    # streaming_scrubber:预留字段,代码尚未实现 —— 待版本支持后取消注释。
    # streaming_scrubber: true       # SSE 流前清洗 <memory-context>