321 lines
11 KiB
YAML
321 lines
11 KiB
YAML
# dsh web — the full web-shape composition: host runtime (layer 1), the
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# transport/service layer (layer 2), and the browser plugin roster (dshClient
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# rows the modules node half scans into window.__DSH_BOOT__). Row order
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# carries no load semantics (activation is service-availability driven); the
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# grouping below is for readers. `--dev` appends the dsh-client-hmr row in
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# code (AppCLIEntry) — prod and dev differ by exactly that one row.
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# AppCLIEntry patches this tree before boot: profile json + CLI flags +
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# distIndex land as config patches over the rows below (yaml = engineering
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# defaults, json = user config, user wins per field).
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# ── layer 1: runtime ────────────────────────────────────────────────────────
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- id: timer
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name: '@cordisjs/plugin-timer'
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- id: llm
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name: '@deepseek-ai/dsh-llm'
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- id: session
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name: '@deepseek-ai/dsh-session'
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- id: session-title
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name: '@deepseek-ai/dsh-session-title'
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config:
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fallbackMaxWords: 5
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fallbackMaxBytes: 40
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maxTitleBytes: 80
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# Model-made titles on the first-message cadence (the web sidebar renders
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# session/title). Same values as the TUI composition.
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- id: session-title-llm
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name: '@deepseek-ai/dsh-session-title-first-message-llm'
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config:
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targetWords: 5
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targetCjkCharacters: 10
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maxInputBytes: 4096
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maxOutputTokens: 64
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timeoutMs: 60000
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- id: system-prompt
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name: '@deepseek-ai/dsh-system-prompt'
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config:
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persona: ''
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- id: tools
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name: '@deepseek-ai/dsh-tools'
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config:
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# TEMPORARY workaround: DSH_TOOLS_MODE (native|code|both) opts a whole dsh
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# process into Code Mode while per-session tool-mode selection is being
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# designed; unset keeps the schema default (native). Remove the env seam
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# once the web UI owns the choice per session.
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mode: !!js process.env.DSH_TOOLS_MODE
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# Code Mode substrate for the row above. Mounted unconditionally because
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# Loader metadata is static (no conditional rows): a native-mode boot only
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# registers the service — a worker thread spawns per run_code execution.
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- id: code-runtime
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name: '@deepseek-ai/dsh-code-runtime-worker'
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- id: user-interaction
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name: '@deepseek-ai/dsh-user-interaction'
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- id: agent
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name: '@deepseek-ai/dsh-agent'
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- id: tasks
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name: '@deepseek-ai/dsh-tasks-local'
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- id: agent-loop
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name: '@deepseek-ai/dsh-agent-loop'
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config:
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agents: []
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# The native DeepSeek adapter; reads the key/base-url the boot's layered
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# .env loading (cwd then $DSH_HOME) left in the environment.
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- id: llm-deepseek
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name: '@deepseek-ai/dsh-llm-deepseek'
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config:
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apiKey: !!js process.env.DEEPSEEK_API_KEY
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baseURL: !!js process.env.DEEPSEEK_BASE_URL
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# Transient-failure recovery around the loop's model calls (same policy as
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# the TUI's agent-spine composition; defaults: 2 retries, 500ms→10s backoff).
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- id: llm-retry
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name: '@deepseek-ai/dsh-llm-retry'
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# Session store root. AppCLIEntry resolves the engineering default to a
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# global dir under the Harness home ($DSH_HOME, else ~/.dsh): sessions live
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# in one place across every cwd, not a project-local ./.sessions. The
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# persistenceRoot profile key (user config) still overrides this per field.
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- id: session-persistence-jsonl
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name: '@deepseek-ai/dsh-session-persistence-jsonl'
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config:
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root: './.sessions'
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- id: storage
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name: '@deepseek-ai/dsh-storage'
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- id: storage-json
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name: '@deepseek-ai/dsh-storage-json'
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config:
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root: './.storages'
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- id: storage-domain
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name: '@deepseek-ai/dsh-storage-domain'
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config:
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backend: json
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- id: workspace
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name: '@deepseek-ai/dsh-workspace'
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# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
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- id: subprocess
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name: '@deepseek-ai/dsh-subprocess-local'
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- id: bash-local
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name: '@deepseek-ai/dsh-bash-local'
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- id: tool-bash
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name: '@deepseek-ai/dsh-tool-bash'
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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- id: tool-tasks
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name: '@deepseek-ai/dsh-tool-tasks'
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# fs cwd stays the package default (process.cwd()) — the same value the
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# gateway injects into session.cwd, so paths and sessions agree.
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- id: fs-local
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name: '@deepseek-ai/dsh-fs-local'
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- id: fs-policy
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name: '@deepseek-ai/dsh-fs-policy'
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- id: tool-fs
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name: '@deepseek-ai/dsh-tool-fs'
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- id: tool-fs-search
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name: '@deepseek-ai/dsh-tool-fs-search'
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- id: workspace-context
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name: '@deepseek-ai/dsh-workspace-context'
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config:
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maxBytes: 65536
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- id: skill
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name: '@deepseek-ai/dsh-skill'
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- id: skill-local
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name: '@deepseek-ai/dsh-skill-local'
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- id: tool-skill
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name: '@deepseek-ai/dsh-tool-skill'
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# Host command registry: the single source of truth behind command.list /
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# command.execute; the web '/' menu is a pure projection of this registry.
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- id: commands
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name: '@deepseek-ai/dsh-commands'
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# Plan mode registers /plan (the first real command on the web surface).
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# Section text mirrors examples/tui-agent/cordis.yml (the reference
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# deployment); plan-mode throws at load on an empty section.
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- id: plan-mode
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name: '@deepseek-ai/dsh-plan-mode'
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config:
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section: |
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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.
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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.
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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.
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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.
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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.
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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.
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# token-meter rejects unknown config keys — keep this row bare.
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- id: token-meter
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name: '@deepseek-ai/dsh-token-meter'
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- id: compact-basic
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name: '@deepseek-ai/dsh-compact-basic'
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- id: subagent
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name: '@deepseek-ai/dsh-subagent'
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- id: subagent-spawn
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name: '@deepseek-ai/dsh-subagent-spawn'
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config:
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providerName: spawn
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- id: subagent-fork
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name: '@deepseek-ai/dsh-subagent-fork'
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config:
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providerName: fork
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- id: tool-subagent
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: spawn
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toolName: subagent
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- id: tool-subagent-fork
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: fork
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toolName: subagent_fork
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- id: workflow-workerthread
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name: '@deepseek-ai/dsh-workflow-workerthread'
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config:
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provider: spawn
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- id: tool-workflow
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name: '@deepseek-ai/dsh-tool-workflow'
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- id: timeout-policy
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name: '@deepseek-ai/dsh-timeout-policy'
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- id: spill-local
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name: '@deepseek-ai/dsh-spill-local'
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# Omitting maxInlineBytes makes the whole policy a silent no-op — always
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# state it explicitly.
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- id: spill-policy
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name: '@deepseek-ai/dsh-spill-policy'
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config:
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maxInlineBytes: 50000
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# The API gateway: the transport-agnostic dispatch face every client shape
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# shares. provider/model are the host default routing — the profile json's
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# mapping target (user config overrides these engineering defaults).
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- id: api-gateway
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name: '@deepseek-ai/dsh-host-apiproxy'
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config:
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provider: deepseek
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model: deepseek-v4-flash
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# ── layer 2: transport/service ──────────────────────────────────────────────
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# Plain route-registration carrier. distIndex is an assembly fact, not user
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# config — AppCLIEntry resolves the frontend dist and patches it in; host and
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# port arrive as CLI-flag patches over these defaults.
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- id: webserver
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name: '@deepseek-ai/dsh-host-webserver'
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config:
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host: 127.0.0.1
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port: 3080
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# ── browser plugin roster (dshClient rows; node halves are layer-2 hosts) ──
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# Dual-face: node half scans this very tree for dshClient rows, composes
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# window.__DSH_BOOT__, serves /plugins/<id>/client.js; browser half is the
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# module table the shell kernel constructs before cordis exists (§4.7 —
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# adopted as a plugin entry by the kernel, never fetched).
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- id: modules
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name: '@deepseek-ai/dsh-client-modules'
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# Owns both ends of the web transport: node half binds the gateway to the
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# webserver under /api; browser half is the fetch/SSE client.
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- id: connection
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name: '@deepseek-ai/dsh-client-connection'
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- id: client-runtime
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name: '@deepseek-ai/dsh-client-runtime'
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- id: ui-theme
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name: '@deepseek-ai/dsh-client-ui-theme'
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- id: locale
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name: '@deepseek-ai/dsh-client-locale'
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- id: ui-layout
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name: '@deepseek-ai/dsh-client-ui-layout'
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- id: ui-sidebar
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name: '@deepseek-ai/dsh-client-ui-sidebar'
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- id: ui-settings
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name: '@deepseek-ai/dsh-client-ui-settings'
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- id: ui-settings-general
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name: '@deepseek-ai/dsh-client-ui-settings-general'
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- id: ui-models
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name: '@deepseek-ai/dsh-client-ui-models'
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- id: ui-conversation
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name: '@deepseek-ai/dsh-client-ui-conversation'
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- id: ui-workspace
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name: '@deepseek-ai/dsh-client-ui-workspace'
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# Input triggers: the '/' | '@' pipeline (ui-slash), the command surface over
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# it (ui-command), and the two reference sources (ui-skill / ui-subagent).
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- id: ui-slash
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name: '@deepseek-ai/dsh-client-ui-slash'
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- id: ui-command
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name: '@deepseek-ai/dsh-client-ui-command'
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- id: ui-skill
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name: '@deepseek-ai/dsh-client-ui-skill'
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- id: ui-subagent
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name: '@deepseek-ai/dsh-client-ui-subagent'
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# Model selection: the /model popupSelect + composer seat over session.models.
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- id: ui-model
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name: '@deepseek-ai/dsh-client-ui-model'
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- id: ui-question
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name: '@deepseek-ai/dsh-client-ui-question'
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- id: ui-trajectory
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name: '@deepseek-ai/dsh-client-ui-trajectory'
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