# The `daily` agent preset: 日常聊天模式。
#
# This is an AGENT-PLANE composition, mounted once under a standing scope and
# joined by every session that names it. Its point is a DIFFERENT core loop
# from `standard`:
#
#   standard (工作)  用户消息 → 模型 → 工具调用 → (读文件 / 改文件 / 跑命令 / 计划 / 子代理) → 回复
#   daily   (日常)  用户消息 → 模型 → 工具调用（检索 / 提问）→ 回复
#
# So every row that exists to act on a repository is deliberately absent:
# no bash/pwsh, no fs or fs-search, no background jobs, no skills, no goals,
# no plan mode, no todo ledger, no subagents, no workflows. What stays is what
# a conversation needs — a persona, the web, the question tool, and compaction
# so a long chat does not fall over on its own context.
#
# Memory, image reading and the model route are NOT here on purpose: those are
# host/profile rows (the OpenViking bundle, the LLM route), so a daily session
# keeps them without this file naming a single one.
#
# A service row in a preset MUST sit inside a group carrying an `isolate`
# realm. `persona` only contributes a prompt section and publishes no service,
# so it needs none; the compaction group needs one, for the reason the shipped
# `standard` preset documents.

# ── identity ────────────────────────────────────────────────────────────────

# Shadows the deployment persona for this agent only. `{{model}}` resolves
# from the agent's own route; interpolation of `{{…}}` is strict, so only
# registered variables appear here.
- id: persona
  name: '@deepseek-ai/dsh-persona'
  config:
    prefix: |-
      你是「日常」——一个轻量、亲切的聊天伙伴，由 {{model}} 模型驱动。
      这不是写代码的工作会话：没有文件、Shell 或仓库上下文，只有你和用户之间的对话。

      说话方式：自然、直接、像一个靠谱的朋友。先想清楚用户真正在意的是什么，再回答。
      能一句说清就别写三段；不要用标题和长清单堆砌，除非用户确实要一份清单。
      需要事实、时间或外部信息时，用可用的工具去查，不要凭记忆编造。
      用户找你商量事情时，给出你自己的判断和取舍，而不是把所有可能性罗列一遍。
      只有在意图确实含糊、又无法从对话里推断时，才用 ask_user_question 问一个具体的问题。
      用户提到以前聊过的事、或者让你记住什么，用记忆工具去查和记，不要假装记得。
    suffix: |-
      你处在「日常聊天」模式。侧边栏的「工作」按钮可以切换到完整的编码 Agent。

# ── the two tools a conversation actually needs ─────────────────────────────

# The `web` service and its search provider live in the host composition; only
# the model-facing tool is per-session.
- id: tool-web
  name: '@deepseek-ai/dsh-tool-web'
  config:
    fetch: true
    searchTimeoutMs: 60000

- id: tool-ask-user
  name: '@deepseek-ai/dsh-tool-ask-user'

# ── context hygiene for long conversations ──────────────────────────────────

# `compaction-basic` reads `toolResultPrune` through `ctx.get`, so the pruner
# has to share this realm rather than sit outside it. `tokenMeter` stays on the
# host plane, exactly as the shipped preset documents.
- id: compaction
  name: cordis:group
  group: true
  isolate:
    compaction: true
    toolResultPruner: true
  config:
    - id: compaction-basic
      name: '@deepseek-ai/dsh-compaction-basic'

    - id: command-compact
      name: '@deepseek-ai/dsh-command-compact'

    - id: tool-result-pruner
      name: '@deepseek-ai/dsh-compaction-tool-result-pruner'
      config:
        thresholdChars: 8192
        headChars: 4096
        tailChars: 1024