Files
deepseek-harness/apps/cli/base.cordis.yml
T
Turtle f290a8b851 refactor(cli)!: one shared base config with per-surface overlays
`dsh` shipped two config trees that were 43 rows the same: apps/cli/cordis.yml
composed web as 74 flat rows, while the TUI booted examples/tui-agent/cordis.yml
whose single `@deepseek-ai/dsh-tui-demo` row mounted twelve plugins behind a
twenty-key pass-through Config. Neither file was what its location claimed —
apps/cli hardcoded the "example" as the product default and the "demo" bundle
was the application — and every capability change had to be made twice.

- apps/cli/base.cordis.yml holds the 43 shared rows; tui.cordis.yml and
  web.cordis.yml are patch lists stating only what differs per surface
- overlays apply as SIBLING patch lists at one include level, because include
  patches never cross an include boundary. Precedence: base < surface <
  (--config | personal ~/.dsh/config.yaml) < launcher flag/profile patches
- `--config` now applies an overlay INSTEAD OF the personal one, so a demo or
  test tree never inherits the user's route; new `--config-replace` boots a file
  as the entire tree (the old `--config` behaviour). Both survive /resume
- vendor/include: index each `insert`ed row as it is added so a later patch can
  configure or disable it. Upstream built the id index once before the patch
  loop, leaving every surface-only row — the whole TUI front door — silently
  unpatchable from user config. Logged as local modification 8
- session identity moves to dsh-agent-loop's CONFIGURED_AGENT_IDENTITIES_KEY;
  dsh-tui's MAIN_SESSION_ID_KEY is deleted (only the bundle read it)
- delete examples/tui-agent, examples/cordis-agent, packages/examples/tui-demo;
  TUI tests → apps/cli/tests, cordis e2e → packages/cordis/tool-cordis/tests,
  examples/code-mode survives as an overlay leaf
- `dsh web` gains --config, threaded into AppCLIEntry as an extra overlay

Three latent defects surfaced and are fixed here: the TUI captured the optional
sessionQuery service once at construction and could permanently disable /resume
when it won the mount race; the session-store root silently reverted to a
project-local ./.sessions; --config-replace was dropped by the resume handoff.

Verified by booting each tree through the real Loader (TUI 55 entries, web 75,
zero unsettled) rather than reading YAML. All eight terminal snapshots replay
byte-identically; 14/14 PTY smoke, 112/112 snapshots, 25/25 doc-sync, hygiene
and lint clean.
2026-07-29 21:15:42 +08:00

211 lines
7.5 KiB
YAML

# The shared `dsh` core: every row both the TUI (`tui.cordis.yml`) and the web
# surface (`web.cordis.yml`) mount identically. Neither surface includes the
# other — each is a patch list applied over THIS file at one include level, so a
# surface overlay, a `--config` overlay, and the personal `~/.dsh/config.yaml`
# all address these rows by id. Patch lists stack in that order, last write
# winning per row.
#
# A patch replaces the targeted row's whole `config` rather than merging into
# it, so a row whose value differs per surface does NOT live here: it belongs to
# each overlay, keeping any single row down to one overlay layer plus the user's.
# That is why `agent-loop`, `system-prompt`, `tools`, `fs-local`, and
# `llm-deepseek` thinking defaults are absent below.
#
# Row order carries no load semantics (activation is service-availability
# driven); the grouping is for readers.
- id: timer
name: '@cordisjs/plugin-timer'
- id: llm
name: '@deepseek-ai/dsh-llm'
- id: session
name: '@deepseek-ai/dsh-session'
- id: session-title
name: '@deepseek-ai/dsh-session-title'
config:
fallbackMaxWords: 5
fallbackMaxBytes: 40
maxTitleBytes: 80
- id: session-title-llm
name: '@deepseek-ai/dsh-session-title-first-message-llm'
config:
targetWords: 5
targetCjkCharacters: 10
maxInputBytes: 4096
maxOutputTokens: 64
timeoutMs: 60000
- id: user-interaction
name: '@deepseek-ai/dsh-user-interaction'
- id: agent
name: '@deepseek-ai/dsh-agent'
- id: tasks
name: '@deepseek-ai/dsh-tasks-local'
- id: llm-retry
name: '@deepseek-ai/dsh-llm-retry'
# The session store root is the launcher's policy, not a plugin's: `dsh` shares
# one store under the Harness home across every cwd, so `/resume` and
# `dsh ps` span workspaces. Without a launcher the project-local fallback keeps
# an embedder's sessions beside its project.
- id: session-persistence-jsonl
name: '@deepseek-ai/dsh-session-persistence-jsonl'
config:
root: !!js launcherSessionsRoot ?? './.sessions'
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash-local
name: '@deepseek-ai/dsh-bash-local'
config:
timeoutMs: 60000
- id: tool-bash
name: '@deepseek-ai/dsh-tool-bash'
- id: tool-tasks
name: '@deepseek-ai/dsh-tool-tasks'
- id: fs-policy
name: '@deepseek-ai/dsh-fs-policy'
- id: tool-fs
name: '@deepseek-ai/dsh-tool-fs'
- id: tool-fs-search
name: '@deepseek-ai/dsh-tool-fs-search'
- id: workspace-context
name: '@deepseek-ai/dsh-workspace-context'
config:
maxBytes: 65536
- id: skill
name: '@deepseek-ai/dsh-skill'
- id: skill-local
name: '@deepseek-ai/dsh-skill-local'
- id: tool-skill
name: '@deepseek-ai/dsh-tool-skill'
- id: commands
name: '@deepseek-ai/dsh-commands'
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: goal-session
name: '@deepseek-ai/dsh-goal-session'
- id: command-goal
name: '@deepseek-ai/dsh-command-goal'
- id: plan-mode
name: '@deepseek-ai/dsh-plan-mode'
config:
section: |
You are in plan mode. Stay in plan mode until exit_plan_mode succeeds or the user switches the session mode. Imperative language to implement changes means plan the implementation, not execute it. A user's conversational agreement — including an answer confirming something you asked — approves nothing and does not end plan mode; fold the confirmed decision into the plan and submit it through exit_plan_mode.
Explore first. Use non-mutating reads, searches, static analysis, and checks to ground the plan in the actual repository. Do not edit or write files, change configuration, run formatters or code generation that rewrites tracked files, commit, or otherwise carry out the plan. Prefer existing functions and patterns over new machinery.
The tool catalog stays the same across modes for request-cache stability. These plan-mode rules override any later tool description or guidance that suggests using mutation tools; those tools remain listed only to keep the request shape stable. Do not use todo_write to track this planning phase: it tracks implementation after an approved plan, while the plan itself belongs in exit_plan_mode.
Resolve discoverable facts by inspection. Use ask_user_question only for user-owned choices or material ambiguity that inspection cannot answer. Do not ask the user where code lives or how current behavior works when you can find out.
Make the plan decision-complete: state the goal and success criteria; group implementation changes by subsystem; identify public API, schema, and data-flow changes; cover edge cases, failure modes, tests, acceptance criteria, and explicit assumptions. Keep it concise enough to review but detailed enough that another engineer can implement it without making design decisions.
When ready, call exit_plan_mode with the complete plan markdown, starting with a # title. Make exit_plan_mode the only and final tool call in that assistant response: it presents the plan for approval, and implementation begins only in a later step after approval. Do not paste the final plan as a plain reply or ask "should I proceed?" through prose or ask_user_question. If review rejects it, incorporate the feedback and present again. If the review channel is unavailable or aborted, stay in plan mode and ask the user to switch modes manually; do not proceed with implementation.
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
- id: subagent
name: '@deepseek-ai/dsh-subagent'
- id: subagent-spawn
name: '@deepseek-ai/dsh-subagent-spawn'
config:
providerName: spawn
- id: subagent-fork
name: '@deepseek-ai/dsh-subagent-fork'
config:
providerName: fork
- id: tool-subagent
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: spawn
toolName: subagent
- id: tool-subagent-fork
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: fork
toolName: subagent_fork
- id: workflow-workerthread
name: '@deepseek-ai/dsh-workflow-workerthread'
config:
provider: spawn
- id: tool-workflow
name: '@deepseek-ai/dsh-tool-workflow'
- id: timeout-policy
name: '@deepseek-ai/dsh-timeout-policy'
- id: spill-local
name: '@deepseek-ai/dsh-spill-local'
- id: spill-policy
name: '@deepseek-ai/dsh-spill-policy'
config:
maxInlineBytes: 50000
# ── rows every surface mounts, whose values each overlay states ──────────────
# The tool registry. Presentation mode is a surface choice, so each overlay
# states it; omitting it here keeps the schema default (native).
- id: tools
name: '@deepseek-ai/dsh-tools'
# The deployment persona is a surface choice; plan-mode and tool plugins own
# their own prompt sections.
- id: system-prompt
name: '@deepseek-ai/dsh-system-prompt'
config:
persona: ''
# Agents created at startup. The TUI pre-creates `main`; the web surface creates
# sessions on client request, so its overlay keeps this empty.
- id: agent-loop
name: '@deepseek-ai/dsh-agent-loop'
config:
agents: []
# The filesystem provider. `cwd` defaults to the package's `process.cwd()`; the
# TUI states it explicitly because that value is also the session workspace.
- id: fs-local
name: '@deepseek-ai/dsh-fs-local'
# The native DeepSeek adapter; reads the key/base-url the boot's layered .env
# loading left in the environment. Thinking defaults are a surface choice.
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL