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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.
This is the package to read to see the whole plugin tree at once — the teaching role the inlined echo-agent cordis.yml used to play before the spine moved behind this bundle.
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-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 + agent/* event vocabulary
@deepseek-ai/dsh-invariants dev-mode event-contract assertions
@deepseek-ai/dsh-tool-bash the model-facing bash/bash_output/bash_kill schemas
@deepseek-ai/dsh-tool-skill session-prefix skill catalog + model-facing loader schema
@deepseek-ai/dsh-agent-loop THE concrete loop (gets the forwarded `agents`)
(dsh-system-prompt gets the forwarded `persona`)
The spine is everything COMMON to every front door. The swappable and front-door-coupled pieces stay out, picked by whatever loads the bundle:
llm service; the leaf registers a concrete adapter on ctx.llm (llm-deepseek, llm-pi-ai, llm-replay).tool-bash (the consumer schema); the leaf provides ctx.bash (bash-local or a sandboxed impl).skill tool; deployments can add other providers such as embedded or remote catalogs as siblings.hmr. These form the coupled "front-door cluster" that the app packages (dsh-stdio-agent, dsh-acp-agent) bake in. timer is in the spine (common to both, stdout-silent); a console logger is NOT (it writes to stdout, which the ACP bridge reserves for JSON-RPC).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.
import type { Config } from '@deepseek-ai/dsh-agent-core'
// { agents?, persona?, toolOrder?, tools?, skills? } — the schema intersects the owner schemas,
// so validation and defaulting can never drift from the owners.
The bundle FORWARDS each field to the child that owns it: agents to agent-loop (default []), so each app supplies its own pre-created agents — a stdio app pre-creates a main; the ACP app pre-creates none (it creates agents on demand at session/new) — persona and toolOrder to dsh-system-prompt; tools to the tool registry for its presentation mode; and skills.registry, skills.local, and skills.tool to the skill registry, local provider, and model-facing consumer. Forwarding is exactly why the owners can live in the shared spine even though the apps disagree on what to configure.
A YAML include can dedupe the config, but it cannot OWN a bin, and it can only describe the front-door coupling in a comment and trust each leaf to obey. Moving the spine into a package, and the front-door cluster into the app packages, means the default leaf for an ACP server has no logger entry to copy wrong — "the ACP app never logs to stdout" stops being a prose warning a leaf must remember and becomes the app package's default shape (a leaf can still add a sibling logger, so the rule stays documented — but it has nothing to get wrong by default). Services register in the root store keyed by their isolate symbol, so a child loaded here is visible to the bundle's siblings (the leaf's adapter and executor) exactly as a nested plugin-include subtree's services were — cordis gates every read on inject, never on load order.