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https://github.com/deepseek-ai/deepseek-harness
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Review round 2 (tianyicui inline comments): - dsh-system-prompt itself registers the harness:identity (-100) and deployment:persona (0) sections — they must survive a swapped loop plugin, so they leave dsh-agent-loop; the persona text is the plugin's own validated 'persona' config. The model/cwd variables STAY on the loop: runtime facts of the agents it drives. - AgentOptions.systemPrompt is deleted with all its forwarding plumbing: the app configs' systemPrompt keys become 'persona' routed through dsh-agent-core (schema = z.intersect of the owners'), the ACP bridge and tool-subagent stop carrying persona configuration, and subagent children now render the deployment persona like every other agent. - Example personas drop transport/interface trivia (ACP, CLI) — facts irrelevant to the model. - Root CONTEXT.md removed (not idiomatic); its persona definition was wrong under the new ownership anyway. - Docs, READMEs, the prompt-variables RFC, and generated catalogs updated; new loop test pins the assemble-waterfall escape valve (an emptied assembly sends NO system field).
102 lines
5.0 KiB
TypeScript
102 lines
5.0 KiB
TypeScript
/**
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* The providerless, executor-less, UI-less agent spine as ONE bundle plugin.
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*
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* Loads the fixed set of services every harness agent needs — `timer`, the LLM
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* service, the session store, system-prompt assembly, the tool registry, the
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* agent registry, the dev-mode invariants, the model-facing `bash` tool
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* schemas, and the concrete `agent-loop` — and forwards the loop's `agents`
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* list as its OWN config (default `[]`), so each app supplies its own
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* pre-created agents.
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*
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* It is deliberately NOT the whole app: the swappable choices stay OUTSIDE the
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* bundle, picked by whatever loads it.
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* - the LLM ADAPTER (`llm-deepseek`/`llm-pi-ai`/`llm-replay`) — the bundle
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* ships the abstract `llm` service + `tool-bash` consumer schema; the leaf
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* registers a concrete adapter on `ctx.llm`.
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* - the bash EXECUTOR (`bash-local` or a sandboxed impl) — the bundle ships
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* the `bash` tool consumer; the leaf provides `ctx.bash`.
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* - the PRESENTATION (stdio UI / ACP bridge / a logger) and the per-app infra
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* (a console logger, `hmr`) — these are the coupled "front-door cluster" the
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* app packages ({@link @deepseek-ai/dsh-stdio-agent},
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* {@link @deepseek-ai/dsh-acp-agent}) bake in, NOT the shared spine.
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*
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* This is the interface/implementation/consumer seam at the composition level:
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* the bundle owns the shared spine, the leaf owns the backends, the app package
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* owns the front door. `timer` is in the spine (common to every front door — it
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* writes nothing to stdout); the console logger is NOT (it writes to stdout,
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* which the ACP bridge reserves for its JSON-RPC channel).
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*
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* Services register in the root store keyed by their isolate symbol, so a child
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* loaded here via `ctx.plugin(...)` is visible to the bundle's SIBLINGS (the
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* leaf's adapter and executor) exactly as a nested `plugin-include` subtree's
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* services were before this bundle existed — cordis gates every read on
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* `inject`, never on load order, so the fixed child set resolves regardless of
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* which entry loads first.
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*
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* Plugin export shape: named `name`/`Config`/`apply`, NO default export — the
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* cordis Loader's `unwrapExports` does `exports.default ?? exports`, so a stray
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* default would collapse the module to the bare `apply` function and drop the
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* `Config` schema (see docs/postmortem/0001). The keyless Loader-path smokes in
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* the app packages guard this end-to-end.
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*
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* @module @deepseek-ai/dsh-agent-core
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*/
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import type { Context } from 'cordis'
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import Timer from '@cordisjs/plugin-timer'
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import z from 'schemastery'
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import LlmService from '@deepseek-ai/dsh-llm'
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import SessionStore from '@deepseek-ai/dsh-session'
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import SystemPrompt, { type Config as SystemPromptConfig } from '@deepseek-ai/dsh-system-prompt'
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import ToolRegistry from '@deepseek-ai/dsh-tools'
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import AgentRegistry from '@deepseek-ai/dsh-agent'
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import * as invariants from '@deepseek-ai/dsh-invariants'
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import * as toolBash from '@deepseek-ai/dsh-tool-bash'
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import AgentLoop, { type Config as AgentLoopConfig } from '@deepseek-ai/dsh-agent-loop'
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export const name = 'agent-core'
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/**
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* Bundle config: each field forwarded verbatim to the child that owns it —
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* `agents` to the agent loop (an app that pre-creates no agents, like the ACP
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* bridge, simply omits it), `persona` to the system-prompt plugin (the
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* deployment's persona section). Both are optional INPUT here because each
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* owner's schema supplies the default (`[]` / `''`); the schema is the
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* INTERSECTION of the owners' own schemas, so validation and defaulting can
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* never drift from them.
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*/
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export interface Config {
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/** The agent-loop `agents` list (see dsh-agent-loop's `Config`). */
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agents?: AgentLoopConfig['agents']
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/** The deployment persona (see dsh-system-prompt's `Config`). */
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persona?: SystemPromptConfig['persona']
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}
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/** Intersect the owners' schemas so validation + defaulting stay identical. */
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export const Config = z.intersect([AgentLoop.Config, SystemPrompt.Config]) as unknown as z<Config>
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/**
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* Load the spine. Each `ctx.plugin(...)` mounts one child of the bundle fiber;
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* `agent-loop` receives the forwarded `agents` list and `system-prompt` the
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* forwarded `persona`. Load order is irrelevant (cordis pends each fiber on
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* its `inject` until the services it needs exist), but the listing mirrors the
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* dependency layering for readability: the LLM vocabulary and core registries
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* first, then the dev tripwire and the bash tool consumer, then the loop that
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* drives them.
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*/
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export function apply(ctx: Context, config: Config): void {
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ctx.plugin(Timer)
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ctx.plugin(LlmService)
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ctx.plugin(SessionStore)
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// The forwarded fields are validated + defaulted by this bundle's intersected
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// schema before apply runs, so the ?? fallbacks only narrow the
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// optional-input TYPES — they mirror the owners' schema defaults, never
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// introduce different ones.
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ctx.plugin(SystemPrompt, { persona: config.persona ?? '' })
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ctx.plugin(ToolRegistry)
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ctx.plugin(AgentRegistry)
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ctx.plugin(invariants)
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ctx.plugin(toolBash)
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ctx.plugin(AgentLoop, { agents: config.agents ?? [] })
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}
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