# The shared `dsh` core. Raw `dsh --config <path>` applies its required patch
# list directly over this file. Web and headless apply their shipped overlay,
# followed by an explicit or personal user layer. Every layer addresses these
# rows by id at one include level, with the 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 by mode does NOT live here: it belongs to
# each overlay, keeping any single row down to one overlay layer plus the user's.
# Mode-specific rows appear below only with shared plugin identity and neutral
# defaults; each overlay restates its complete configuration.
#
# Row order carries no load semantics (activation is service-availability
# driven); the grouping is for readers.

- id: timer
  name: '@cordisjs/plugin-timer'

- id: hmr
  name: '@cordisjs/plugin-hmr'
  config:
    root: ['.']

# `$DSH_HOME/config.yaml` replaces this row's config to select exact GitHub
# repository Plugin generations. The app registers the DSH-owned runtime even
# when the list is empty so a later personal-config edit can load
# transactionally; one-shot headless runs consume the startup value only.
- id: repository-plugins
  name: '@deepseek-ai/dsh-repository-plugin'

- 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'

# User-settings document (`$DSH_HOME/settings.yaml`, hot-reloaded): a
# `llm-deepseek:` or `llm-pi-ai:` section there overrides the adapter entries
# below without a restart, and is what the web Models page writes.
- id: settings
  name: '@deepseek-ai/dsh-settings-local'

# Credential store: the live process environment over `$DSH_HOME/.env`
# (owner-only file, hot-reloaded). Adapters resolve their key references
# through it at each request, so no key is inlined in this file. The web
# Models page's key inputs write it through `credentials.set`; nothing hoists
# the document into the process environment, which would make every stored key
# read as an unrotatable ambient override.
- id: credentials
  name: '@deepseek-ai/dsh-credentials-local'

# The pi-ai multi-provider twin, mounted dormant: zero routes (and no extra
# models in the picker) until a `llm-pi-ai:` settings section supplies provider
# profiles — then those routes register live, keys resolving per request
# through their apiKeyEnv references, and drop again when the section empties.
# Supplying those profiles is exactly what the web Models page does. Which
# adapters exist is composition; which providers run is the user's settings
# document.
- id: llm-pi-ai
  name: '@deepseek-ai/dsh-llm-pi-ai'

- id: session-persistence-jsonl
  name: '@deepseek-ai/dsh-session-persistence-jsonl'
  config:
    root: !!js dshHomePath('sessions')

# Raw configs can supply a process-local path or disable this shared session
# capability. The neutral default is process-local and opens only when used.
- id: session-query-sqlite
  name: '@deepseek-ai/dsh-session-query-sqlite'
  config:
    path: ':memory:'
    openAt: first-search

# Session telemetry, on for every dsh mode: mirrors every session-log
# event (assistant/chunk projected to first-of-step) plus ops markers onto
# OTLP/HTTP log records, streaming on the batch processor's cadence
# (10s/batch here) — not at exit; a crash loses at most the last unexported
# interval. No telemetry/record redaction rule is mounted yet, so exports
# are the raw captured copy; the deployment stance, env seams, and
# follow-ups are pinned in the web-telemetry-default-mount Agent Note.
# DSH_TELEMETRY_OTLP_URL overrides the production endpoint, and a non-empty
# DSH_TELEMETRY_DISABLED — any value, including '0'/'false' — opts the
# process out (the launchers patch the row disabled; config cannot disable
# a row). Exports carry the harness home's anonymous user id ($DSH_HOME/.userid,
# random UUID; delete the file to reset the identity) as the Resource's
# user.id. The exporter/processor values normally bound the shutdown drain
# to ~1s against an unreachable collector: exporter.timeoutMillis is both
# the per-attempt socket timeout and the retry deadline (1s effectively
# disables the SDK's 5-try backoff), while maxExportBatchSize == maxQueueSize
# (both explicit) makes the drain a single batch. The SDK awaits
# exporter.forceFlush() outside exportTimeoutMillis, so the backend's 3s
# shutdownTimeoutMillis is the load-bearing outer bound when a transport
# promise never settles. Every CLI exit path drains it by disposing the root
# on SIGINT/SIGTERM.
- id: telemetry-otel
  name: '@deepseek-ai/dsh-session-telemetry-otel'
  config:
    shutdownTimeoutMillis: 3000
    exporter:
      url: !!js process.env.DSH_TELEMETRY_OTLP_URL ?? 'https://harness-telemetry.deepseeksvc.com/v1/logs'
      compression: gzip
      timeoutMillis: 1000
    processor:
      scheduledDelayMillis: 10000
      maxQueueSize: 2048
      maxExportBatchSize: 2048
      exportTimeoutMillis: 1500

- id: subprocess
  name: '@deepseek-ai/dsh-subprocess-local'

# Every shipped CLI mode starts with the same file-effect boundary.
# The environment remains an explicit deployment override; otherwise fresh
# sessions pin workspace-write + ask through the permission service below.
- id: sandbox
  name: '@deepseek-ai/dsh-sandbox-local'

- id: sandbox-policy
  name: '@deepseek-ai/dsh-sandbox-policy'
  config:
    mode: !!js process.env.DSH_PERMISSION_MODE ?? 'workspace-write'
    workspaceRoot: !!js process.cwd()

- id: bash-sandbox
  name: '@deepseek-ai/dsh-bash-sandbox'
  config:
    timeoutMs: 60000

- id: approval
  name: '@deepseek-ai/dsh-user-approval'
  config:
    policy: !!js "(process.env.DSH_PERMISSION_MODE ?? 'workspace-write') === 'danger-full-access' ? 'never' : 'ask'"

- id: permission
  name: '@deepseek-ai/dsh-permission'
  config:
    presets:
      read-only:
        sandbox: read-only
        approval: ask
      workspace-write:
        sandbox: workspace-write
        approval: ask
      danger-full-access:
        sandbox: danger-full-access
        approval: never

- id: bash-env
  name: '@deepseek-ai/dsh-bash-env'

- 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'
  config:
    sampleOverCapGlobResults: false

- 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: command-feedback
  name: '@deepseek-ai/dsh-command-feedback'

- 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'

# Human `/compact`: one useful reduction below the automatic threshold. Backend
# independent, so it follows whichever compaction service this leaf mounts.
- id: command-compact
  name: '@deepseek-ai/dsh-command-compact'

- 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

# Continuable background children are selected per delegation tool. The
# separately loaded follow-up tool registers the one global `send_message`.
- id: tool-subagent-control
  name: '@deepseek-ai/dsh-tool-subagent-control'

- id: tool-subagent-list-agents
  name: '@deepseek-ai/dsh-tool-subagent-control/list-agents'

- id: tool-subagent
  name: '@deepseek-ai/dsh-tool-subagent'
  config:
    provider: spawn
    toolName: subagent
    backgroundMode: continuable

- id: tool-subagent-fork
  name: '@deepseek-ai/dsh-tool-subagent'
  config:
    provider: fork
    toolName: subagent_fork
    backgroundMode: continuable

# Optional direct-child return channel; absent from roots and one-shot agents.
- id: tool-subagent-report
  name: '@deepseek-ai/dsh-tool-subagent-report'

- 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

# Durability checkpoints before each model request and top-level dispatch.
- id: session-checkpoint-policy
  name: '@deepseek-ai/dsh-session-checkpoint-policy'

# Compacts oversized tool results before the broader conversation compactor
# runs, preserving the model-visible result within the configured budget.
- id: tool-result-prune
  name: '@deepseek-ai/dsh-compact-tool-result-prune'
  config:
    thresholdChars: 8192
    headChars: 4096
    tailChars: 1024

- id: tool-todo
  name: '@deepseek-ai/dsh-tool-todo'

# Persisted same-session goals reach the model and the slash menu here; the
# domain, driver, and `/goal` command are above.
- id: tool-goal
  name: '@deepseek-ai/dsh-tool-goal'

# Fresh-agent Ralph iteration over a build-time-fixed script.
- id: tool-ralph
  name: '@deepseek-ai/dsh-tool-ralph'
  config:
    subagentProvider: spawn
    maxRounds: 64

- id: tool-str-replace-editor
  name: '@deepseek-ai/dsh-tool-str-replace-editor'
  config:
    maxOutputChars: 16000

# Consecutive-repeat reminders on the tool chain.
- id: repeat-tool-guard
  name: '@deepseek-ai/dsh-repeat-tool-guard'
  config:
    thresholds: [3, 5, 8]
    argumentsPreviewChars: 500

# Every mode enables the stable web_search model surface. DeepSeek search
# resolves the same DEEPSEEK_API_KEY credential the Models page manages for
# chat, at each search; its Messages endpoint is separate from the
# chat-completions endpoint, so it takes its own base-URL override. Fetch stays
# disabled and no fetch provider is mounted: that provider defers SSRF
# protection and the model would choose the request target. Search is a full
# auxiliary model request with server-side retrieval, so this shipped DeepSeek
# route gets 60s while the provider-neutral tool default remains 30s.
- id: web
  name: '@deepseek-ai/dsh-web'
  config:
    searchProvider: deepseek-official

- id: web-search-deepseek
  name: '@deepseek-ai/dsh-web-search-deepseek'
  config:
    apiKeyEnv: DEEPSEEK_API_KEY
    baseURL: !!js process.env.DEEPSEEK_SEARCH_BASE_URL

- id: tool-web
  name: '@deepseek-ai/dsh-tool-web'
  config:
    fetch: false
    searchTimeoutMs: 60000

# ── rows every mode mounts, whose values each overlay may state ──────────────

# The tool registry. Presentation mode is a deployment choice; omitting it here
# keeps the schema default (native).
- id: tools
  name: '@deepseek-ai/dsh-tools'

# The deployment persona is a deployment 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 base stays empty; raw overlays may create
# agents, while Web creates sessions on client request.
- id: agent-loop
  name: '@deepseek-ai/dsh-agent-loop'
  config:
    agents: []

# The sandboxed filesystem provider. `cwd` defaults to `process.cwd()`; an
# overlay can pin another workspace.
- id: fs-sandbox
  name: '@deepseek-ai/dsh-fs-sandbox'

# The native DeepSeek adapter. No key or endpoint is inlined: both resolve per
# request from the `llm-deepseek:` settings section over this entry, with the
# key coming from the credential store below. Thinking defaults are a deployment
# choice.
- id: llm-deepseek
  name: '@deepseek-ai/dsh-llm-deepseek'
