@deepseek-ai/dsh-agent-spine-demo

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The default executor-less, UI-less agent spine as ONE Cordis bundle plugin. It loads the fixed set of services every harness agent needs, including the local skill provider, and forwards the loop's agents list as its own config — so an app package composes a working agent by adding only a front door and the swappable backends.

Read this package for the whole plugin tree and its composition order.

The tree it loads

apply(ctx, config) mounts each of these as a child of the bundle fiber:

@cordisjs/plugin-timer            timer service (writes nothing to stdout)
@deepseek-ai/dsh-llm              abstract LLM service + content-block vocabulary
@deepseek-ai/dsh-session          event-sourced session log + store
@deepseek-ai/dsh-session-title    log-backed title service + deterministic fallback
@deepseek-ai/dsh-system-prompt    prompt-section + tool-schema assembly
@deepseek-ai/dsh-tools            registry + guarded pre/around/post/final-result pipeline
@deepseek-ai/dsh-skill            skill provider registry
@deepseek-ai/dsh-skill-local      local filesystem skill provider
@deepseek-ai/dsh-agent            agent registry + initiator scope + agent/* events
@deepseek-ai/dsh-goal             optional persisted same-session goal domain
@deepseek-ai/dsh-tool-goal        optional model-facing goal controls
@deepseek-ai/dsh-goal-session     optional same-session goal-round driver
@deepseek-ai/dsh-llm-retry        provider-routed request retry policy
@deepseek-ai/dsh-tasks-local      generic background-task registry
@deepseek-ai/dsh-invariants       configurable invariant registry service
@deepseek-ai/dsh-session/invariant
@deepseek-ai/dsh-agent/invariant
@deepseek-ai/dsh-scope/invariant
@deepseek-ai/dsh-agent-loop/invariant
                                  package-owned relational checks
@deepseek-ai/dsh-tool-bash        the model-facing bash schema (unless toolBash=false)
@deepseek-ai/dsh-workspace-context  AGENTS.md/CLAUDE.md workspace context loader
@deepseek-ai/dsh-tool-skill       session-prefix skill catalog + model-facing loader schema
@deepseek-ai/dsh-tool-tasks       task_output/task_list/task_kill schemas + completion notices
@deepseek-ai/dsh-agent-loop       THE concrete loop (gets the forwarded `agents`)
                                  (dsh-system-prompt gets the forwarded `persona`)

What it deliberately leaves OUTSIDE the bundle

The spine is everything COMMON to every front door. The swappable and front-door-coupled pieces stay out, picked by whatever loads the bundle:

the LLM adapter — the bundle ships the abstract llm service; the leaf registers a concrete adapter on ctx.llm (llm-deepseek, llm-pi-ai, llm-replay).
model-backed session-title providers — the bundle mounts the fallback service with overridable example limits (5 words, 40 fallback bytes, 80 accepted-title bytes); a leaf may opt into exactly one first-message or all-messages LLM provider.
the bash executor — the bundle ships tool-bash (the consumer schema); the leaf provides ctx.bash (bash-local or a sandboxed impl).
non-local skill providers — the bundle ships the skill registry, the local filesystem provider, and the skill tool; deployments can add other providers such as embedded or remote catalogs as siblings.
front-door + per-app infra — the terminal TUI or ACP automation transport and hmr. App packages (dsh-cli-demo, dsh-acp-demo) own those choices. timer is in the spine because it is common and stdout-silent; front doors own stdout and remain outside.

This is the interface/implementation/consumer seam raised to the composition level: the bundle owns the shared spine, the leaf owns the backends, the app package owns the front door.

Config

import type { Config } from '@deepseek-ai/dsh-agent-spine-demo'
// { agents?, maxParallelToolCalls?, includeHarnessIdentity?, persona?, toolOrder?, tools?, dshHome?, sessionTitle?, skills?, workspaceContext, toolBash?, toolTasks?, goals?, invariants? }
// workspaceContext requires { maxBytes } or false; the other owner schemas supply defaults.

The bundle FORWARDS each field to the child that owns it: agents and maxParallelToolCalls to agent-loop (agents defaults to []; the cap defaults there), so each app supplies its own pre-created agents — TUI and headless apps pre-create main, while the ACP app creates agents on demand at session/new; includeHarnessIdentity, persona, and toolOrder to dsh-system-prompt; tools to the tool registry for its presentation mode; sessionTitle to the fallback title service; skills.registry, skills.local, and skills.tool to the skill registry, local provider, and model-facing consumer; the required workspaceContext choice to dsh-workspace-context ({ maxBytes } enables loading and false disables it); invariants to the invariant service; and toolBash/toolTasks to the two model-facing tool plugins the bundle owns. It always mounts dsh-llm-retry, while each leaf adapter owns its nested retryPolicy. Omitted sessionTitle uses the explicit example policy of 5 words, 40 fallback bytes, and 80 accepted-title bytes. A goals object opts into the persisted domain, model tools, and same-session driver while forwarding goals.domain and goals.tool to their owners; omission or false leaves the stack absent so headless callers retain one-turn settlement. Set skills.enabled: false to omit both the local provider and model-facing skill tool, set toolBash: false when another plugin owns the bash tool name, and set toolTasks: false to retain the task service for foreground producers without exposing task_output / task_list / task_kill. It resolves dshHome once through @deepseek-ai/dsh-paths and forwards that absolute value to the shared bash-env managed environment and enabled local skill discovery. An absent top-level dshHome adopts skills.local.dshHome; supplying both with different resolved paths fails loudly. toolBash.enableRunInBackground controls only the bundled bash producer; independently loaded producers keep their own config. Workspace instructions register before the skill catalog so their session-prefix message renders first. App packages use pickSpineConfig() to copy only these bundle-owned fields.

For example, { invariants: { enabled: true, package_allowlist: ['^@deepseek-ai/dsh-'], package_blocklist: ['agent-loop$'] } } keeps the package-owned companions mounted but suppresses the blocked owner. Blocklist matches override allowlist matches; see dsh-invariants for regex and lifecycle rules.

Why a code bundle, not a shared YAML include

A YAML include can deduplicate config but cannot own a bin or provide front-door defaults. The ACP app package makes protocol-pure stdout wiring the default, though a leaf can still add an unsafe logger. Bundle children register services in the root isolate-keyed store, so injected leaf siblings see them without load-order coupling.

The retry policy may repeat a failed request in a new numbered step. Retry status, provider errors, and failed partial chunks stay outside model history; each provider attempt can still incur billing, always mode has no attempt limit, front doors derive usage across every logged step, and the reconstructed request preserves the prior prefix for provider cache reuse.

Model Experience

Indirectly, through dsh-system-prompt, dsh-tool-skill, dsh-tool-bash, dsh-tools, and dsh-llm-retry, plus dsh-tool-goal and goal-round prompts when goals is enabled. The bundle adds no model-bound wrapper content of its own.

KV Cache effect

No direct invalidation; the named consumer owns any request-prefix changes.

Known Limitations and Deferred Work

Most of the spine set is fixed in code — apply() always mounts the core services; config can omit bundled goals, skills, bash, and task-control tools, but swapping the loop or dropping another spine member means composing a different bundle.
The invariant seam and companions remain fixed members — invariants.enabled: false or package filters suppress checks but do not remove the service or companion registrations; Session's always-on validation and freezing are separate.

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