Files
deepseek-harness/apps/cli/cordis.yml
creatixchu a9b8fa2585 fix(client,host): review round — hooks-compartment occupancy, StrictMode re-arm, internal flow module, honest swap comment
- Directory-flow occupancy moves onto the inject face's reserved hooks
  compartment: apply publishes a stable observable per surface and the
  renderer binds useDirectoryFlow — no hand-rolled component subscriptions
  (the client contract's channel for registrant-private reactive facts).
- The native flow's alive guard re-arms in effect setup: StrictMode's
  development replay ran the cleanup once and every later outcome was
  discarded.
- NativeDirectoryFlow moves to a package-internal module; ./client exports
  only the Loader surface, tests import the internal module directly.
- The composition swap comment no longer advertises -browse as a complete
  swap before its dialog lands (stacked follow-up).
2026-07-29 02:50:45 +08:00

347 lines
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YAML

# dsh web — the full web-shape composition: host runtime (layer 1), the
# transport/service layer (layer 2), and the browser plugin roster (dshClient
# rows the modules node half scans into window.__DSH_BOOT__). Row order
# carries no load semantics (activation is service-availability driven); the
# grouping below is for readers. `--dev` appends the dsh-client-hmr row in
# code (AppCLIEntry) — prod and dev differ by exactly that one row.
# AppCLIEntry patches this tree before boot: profile json + CLI flags +
# distIndex land as config patches over the rows below (yaml = engineering
# defaults, json = user config, user wins per field).
# ── layer 1: runtime ────────────────────────────────────────────────────────
- id: timer
name: '@cordisjs/plugin-timer'
- id: llm
name: '@deepseek-ai/dsh-llm'
- id: session
name: '@deepseek-ai/dsh-session'
# Projection registry: drives every registered domain unit over committed
# session events and serves finished values (history-tail projections block +
# session/projection frames). Without this row every domain's optional unit
# injection stays silent — no block, no frames, no titles/todos on the web.
- id: session-projection
name: '@deepseek-ai/dsh-session-projection'
- id: session-title
name: '@deepseek-ai/dsh-session-title'
config:
fallbackMaxWords: 5
fallbackMaxBytes: 40
maxTitleBytes: 80
# Model-made titles on the first-message cadence (the web sidebar renders
# session/title). Same values as the TUI composition.
- 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: system-prompt
name: '@deepseek-ai/dsh-system-prompt'
config:
persona: ''
- id: tools
name: '@deepseek-ai/dsh-tools'
config:
# TEMPORARY workaround: DSH_TOOLS_MODE (native|code|both) opts a whole dsh
# process into Code Mode while per-session tool-mode selection is being
# designed; unset keeps the schema default (native). Remove the env seam
# once the web UI owns the choice per session.
mode: !!js process.env.DSH_TOOLS_MODE
# Code Mode substrate for the row above. Mounted unconditionally because
# Loader metadata is static (no conditional rows): a native-mode boot only
# registers the service — a worker thread spawns per run_code execution.
- id: code-runtime
name: '@deepseek-ai/dsh-code-runtime-worker'
- 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: agent-loop
name: '@deepseek-ai/dsh-agent-loop'
config:
agents: []
# The native DeepSeek adapter; reads the key/base-url the boot's layered
# .env loading (cwd then $DSH_HOME) left in the environment.
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL
# Transient-failure recovery around the loop's model calls (same policy as
# the TUI's agent-spine composition; defaults: 2 retries, 500ms→10s backoff).
- id: llm-retry
name: '@deepseek-ai/dsh-llm-retry'
# Session store root. AppCLIEntry resolves the engineering default to a
# global dir under the Harness home ($DSH_HOME, else ~/.dsh): sessions live
# in one place across every cwd, not a project-local ./.sessions. The
# persistenceRoot profile key (user config) still overrides this per field.
- id: session-persistence-jsonl
name: '@deepseek-ai/dsh-session-persistence-jsonl'
config:
root: './.sessions'
- id: storage
name: '@deepseek-ai/dsh-storage'
- id: storage-json
name: '@deepseek-ai/dsh-storage-json'
config:
root: './.storages'
- id: storage-domain
name: '@deepseek-ai/dsh-storage-domain'
config:
backend: json
- id: workspace
name: '@deepseek-ai/dsh-workspace'
# Persisted projection cache: durable per-session checkpoints of every
# registered projection unit (json backend → ./.storages/session_projcache.json,
# beside workspace.json), throttled between the two mandatory points
# (turn/end + detach), serving cold listings without full-log loads.
- id: session-projection-cache
name: '@deepseek-ai/dsh-session-projection-cache'
config:
writeEveryEvents: 200
writeIntervalMs: 5000
# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash-local
name: '@deepseek-ai/dsh-bash-local'
- id: tool-bash
name: '@deepseek-ai/dsh-tool-bash'
- id: tool-todo
name: '@deepseek-ai/dsh-tool-todo'
- id: tool-tasks
name: '@deepseek-ai/dsh-tool-tasks'
# fs cwd stays the package default (process.cwd()) — the same value the
# gateway injects into session.cwd, so paths and sessions agree.
- id: fs-local
name: '@deepseek-ai/dsh-fs-local'
- 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'
# Host command registry: the single source of truth behind command.list /
# command.execute; the web '/' menu is a pure projection of this registry.
- id: commands
name: '@deepseek-ai/dsh-commands'
# Plan mode registers /plan (the first real command on the web surface).
# Section text mirrors examples/tui-agent/cordis.yml (the reference
# deployment); plan-mode throws at load on an empty section.
- 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.
# token-meter rejects unknown config keys — keep this row bare.
- 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'
# Omitting maxInlineBytes makes the whole policy a silent no-op — always
# state it explicitly.
- id: spill-policy
name: '@deepseek-ai/dsh-spill-policy'
config:
maxInlineBytes: 50000
# The API gateway: the transport-agnostic dispatch face every client shape
# shares. provider/model are the host default routing — the profile json's
# mapping target (user config overrides these engineering defaults).
# Directory-picking package, dual-face: the node half serves the gateway's
# host.* picker RPCs, the browser half fills ui-workspace's directory-flow
# slots — one row composes the whole interaction. Swap point: '-browse'
# serves remote-capable listing primitives; its in-app dialog (and this
# row's flip) land in the stacked follow-up PR — until then a '-browse'
# composition has no picking affordance.
- id: directory-picker
name: '@deepseek-ai/dsh-host-directory-picker-native'
- id: api-gateway
name: '@deepseek-ai/dsh-host-apiproxy'
config:
provider: deepseek
model: deepseek-v4-flash
# ── layer 2: transport/service ──────────────────────────────────────────────
# Plain route-registration carrier. distIndex is an assembly fact, not user
# config — AppCLIEntry resolves the frontend dist and patches it in; host and
# port arrive as CLI-flag patches over these defaults.
- id: webserver
name: '@deepseek-ai/dsh-host-webserver'
config:
host: 127.0.0.1
port: 3080
# ── browser plugin roster (dshClient rows; node halves are layer-2 hosts) ──
# Dual-face: node half scans this very tree for dshClient rows, composes
# window.__DSH_BOOT__, serves /plugins/<id>/client.js; browser half is the
# module table the shell kernel constructs before cordis exists (§4.7 —
# adopted as a plugin entry by the kernel, never fetched).
- id: modules
name: '@deepseek-ai/dsh-client-modules'
# Owns both ends of the web transport: node half binds the gateway to the
# webserver under /api; browser half is the fetch/SSE client.
- id: connection
name: '@deepseek-ai/dsh-client-connection'
- id: client-runtime
name: '@deepseek-ai/dsh-client-runtime'
- id: ui-theme
name: '@deepseek-ai/dsh-client-ui-theme'
- id: locale
name: '@deepseek-ai/dsh-client-locale'
- id: ui-layout
name: '@deepseek-ai/dsh-client-ui-layout'
- id: ui-sidebar
name: '@deepseek-ai/dsh-client-ui-sidebar'
- id: ui-settings
name: '@deepseek-ai/dsh-client-ui-settings'
- id: ui-settings-general
name: '@deepseek-ai/dsh-client-ui-settings-general'
- id: ui-models
name: '@deepseek-ai/dsh-client-ui-models'
- id: ui-conversation
name: '@deepseek-ai/dsh-client-ui-conversation'
- id: ui-workspace
name: '@deepseek-ai/dsh-client-ui-workspace'
# Input triggers: the '/' | '@' pipeline (ui-slash), the command surface over
# it (ui-command), and the two reference sources (ui-skill / ui-subagent).
- id: ui-slash
name: '@deepseek-ai/dsh-client-ui-slash'
- id: ui-command
name: '@deepseek-ai/dsh-client-ui-command'
- id: ui-skill
name: '@deepseek-ai/dsh-client-ui-skill'
- id: ui-subagent
name: '@deepseek-ai/dsh-client-ui-subagent'
# Model selection: the /model popupSelect + composer seat over session.models.
- id: ui-model
name: '@deepseek-ai/dsh-client-ui-model'
- id: ui-question
name: '@deepseek-ai/dsh-client-ui-question'
- id: ui-trajectory
name: '@deepseek-ai/dsh-client-ui-trajectory'