Merge remote-tracking branch 'origin/master' into session-query-search

# Conflicts:
#	.agents/notes/implemented/feature/2026-07-10-session-query-service.md
#	.agents/notes/implemented/feature/2026-07-10-sqlite-session-query-provider.md
#	.agents/notes/proposed/feature/2026-07-10-sqlite-session-query-provider.md
#	docs/architecture.md
#	docs/capability-seams.md
#	docs/config-catalog.md
#	docs/cordis-catalog/services.md
#	docs/core-data-structures/core.md
#	docs/core-data-structures/persistence.md
#	docs/core-data-structures/session-query.md
#	docs/module-graph.md
#	docs/rfc/INDEX.md
#	packages/README.md
#	packages/cordis/tool-cordis/src/api-catalog.ts
#	packages/hooks/hooks-claude/tests/coverage.spec.ts
#	packages/session-persistence/session-persistence-jsonl/src/index.ts
#	packages/session-persistence/session-persistence-jsonl/tests/jsonl.spec.ts
#	packages/session-persistence/session-persistence-sqlite/README.md
#	packages/session-persistence/session-persistence-sqlite/src/index.ts
#	packages/session-persistence/session-persistence-sqlite/src/schema.ts
#	packages/session-persistence/session-persistence-sqlite/tests/sqlite.spec.ts
#	packages/session-persistence/session-persistence/README.md
#	packages/session-persistence/session-persistence/package.json
#	packages/session-query/README.md
#	packages/session-query/session-query/README.md
#	packages/session-query/session-query/package.json
#	packages/session-query/session-query/src/config.ts
#	packages/session-query/session-query/src/index.ts
#	packages/session-query/session-query/src/types.ts
#	pnpm-lock.yaml
#	scripts/gen-doc-graphs.ts
#	scripts/type-equiv.manifest.json
#	tsconfig.host.json
#	tsconfig.json
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# Agent Note: Agent Client Protocol (ACP) support — drive the coding agent from external editors
Status: implemented
## Problem
The harness originally exposed agents only through a readline loop. That surface could carry text, but it gave an editor no structured way to create or resume sessions, correlate prompt completion, stream reasoning and tool activity, render tool-specific UI, ask for permission, or cancel one conversation without disturbing another. ACP defines those interactions as JSON-RPC over stdio, and Zed is the target client used to make concrete compatibility decisions.
The bridge must preserve the harness's existing ownership boundaries. It cannot depend on the concrete agent loop, bypass the tool registry, execute shell commands in the editor, or invent a second source of session truth. stdout is also the protocol transport, so any accidental log output corrupts the connection.
## Decision
`@deepseek-ai/dsh-acp` is a UI/client-driver plugin under `packages/ui/acp`. It uses `@agentclientprotocol/sdk`'s `AgentSideConnection` over stdin/stdout and programs only interface services: the agent create/resume factory, session persistence, tool registry, user interaction, and optional approval/bash capabilities. It does not change the agent loop and is not a capability-seam implementation.
The bridge implements the following stable session path:
- `initialize` negotiates the protocol version, advertises text plus `resource_link` prompts, and advertises `loadSession`.
- `session/new` validates an absolute `cwd`, stores it in `SessionHeader`, creates an agent through `ctx.agents`, and returns any composition-backed config options.
- `session/load` validates the requested cwd against persisted metadata before constructing an agent, reserves the id across the asynchronous resume, replays user/assistant/tool events as ACP updates, and reports the resumed config-option fold.
- `session/prompt` accepts text and resource links, rejects unsupported or empty content, allows one in-flight prompt per session, and settles against that prompt's owning `turn/end`. An error turn rejects the RPC; other closed turn reasons map through a total ACP stop-reason codec.
- `session/cancel` calls the queue-aware agent cancel path and settles only the addressed session's prompt.
Tool-call presentation remains tool-owned. A tool's `presentCall` and `presentResult` return the `generic`, `terminal`, or `diff` render-intent variants; the bridge switches on that union and maps it to ACP. Presenter-less tools receive a generic fallback. Bash terminal cards use Zed's capability-gated `_meta.terminal_info`, `_meta.terminal_output`, and `_meta.terminal_exit` convention; the harness still executes the command through `ctx.bash`, preserving sandbox, environment scrub, ownership, and cwd. Clients without that extension receive ordinary text content. Filesystem tools provide diff cards and file locations without hard-coded tool-name branches in the bridge.
Permission handling is an answerer on the [user-approval seam](2026-07-06-approval-seam.md), not an ask-every-tool policy in ACP. An `approval/request` for a bridge-owned agent with a call id becomes `session/request_permission` on that agent's editor session, with one-shot allow/reject choices. Foreign or call-less requests delegate; a missing or failed answerer remains fail-closed. The plugin that asks—such as a pre-execute policy or bash escalation—owns the decision to ask.
When `ctx.permission` is composed, the bridge exposes one `permission` select from the deployment's preset table. The shipped `workspace-write` and `danger-full-access` presets each bundle a sandbox mode with an approval policy; unmatched effective knobs produce the switch-away-only `custom` state. `session/set_config_option` validates through `PermissionService.set()` and writes both owning knob events. A switch during an open turn appends immediately; an idle switch is overlaid in responses and anchored at the next `agent/prompt-submit`, before request assembly. Until then it is memory-only, so a crash restores the durable fold. ACP session modes are not modeled because config options are the forward protocol surface; `AcpConfig.model` remains connection-wide.
The bridge also provides the ACP-backed `UserInteractionProvider`: `ask_user_question` requests become form elicitations on the owning session. Select, multi-select, option descriptions, and custom-answer override semantics are preserved.
Lifecycle ownership is explicit. The bridge holds an `AgentHandle` per live session. Disconnect and Cordis disposal cancel pending prompts, dispose every handle in parallel, await loop quiescence and persistence flush, and then remove the records. Stream notification failures are contained so a vanished client cannot corrupt an agent turn. The ACP app composition loads no stdout logger; a test guards stdout as framed JSON-RPC only.
The precise supported and deferred protocol rows live in [`packages/ui/acp/acp-feature-support.md`](../../../../packages/ui/acp/acp-feature-support.md); the package README is the operational contract.
## Alternatives considered
**A prepended `tools/execute` listener that asks on every ACP-owned call** — rejected. It would hard-code permission policy into the UI bridge, ask even when no policy requires it, and could not serve approval requests that arise after execution begins. The shared user-approval seam keeps mechanism, asking policy, and UI answerer separate.
**Inject the concrete `agentLoop`** — rejected. Agent creation, resume, idle observation, and disposal are interface-level ownership operations on `dsh-agent`; a UI plugin does not need a dependency-rule exception.
**Execute bash through ACP `terminal/*`** — rejected. That would move execution outside the harness and bypass its sandbox, credential scrub, task ownership, cwd resolution, and session log. Terminal metadata is presentation only.
**Represent permission presets as ACP session modes** — rejected. The deployment-defined preset is already one config-option select, while session modes are the legacy surface slated for removal in ACP v2.
**Hijack stdout defensively** — rejected. Process-wide monkey-patching is outside Cordis effect ownership and races the protocol transport. The app composition owns stdout purity.
## Consequences
Editors can create, load, prompt, cancel, render, ask, and reconfigure multiple harness sessions over one ACP connection without a loop-specific dependency. The session event log remains the durable source for replay, prompt settlement, cwd, and per-session configuration. Tool presentation and human-answer channels remain extensible plugin contracts instead of ACP-specific behavior.
The bridge deliberately does not implement session list/delete/resume/close capabilities, MCP passthrough, additional directories, image/audio/embedded-resource prompts, plans, slash commands, usage updates, editor filesystem delegation, or the ACP terminal execution sub-protocol. Runtime model selection was added later through standard session config options by the [LLM catalog and ACP selection Agent Note](../architecture/2026-07-15-llm-model-catalog-and-acp-selection.md).
An idle config selection is truthful in the live response but not durable until the next `agent/prompt-submit` anchors it inside the open turn. Crashing before that boundary loses the pending selection; this is the cost of keeping session events turn-enclosed and replay-safe.
## Verification
The ACP suites cover the in-memory protocol codec, create/load replay, exact prompt settlement, cancellation races, unsupported content, tool presentation, terminal capability fallback, permission outcome mapping, config-option validation and persistence, multi-session isolation, disconnect/disposal quiescence, and HMR cleanup. Snapshot and built-bin tests exercise the app composition, while the real-API e2e self-skips without a key.

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# Agent Note: Multiplex concurrent ACP sessions over one connection
Status: implemented
## Problem
An ACP editor can keep several conversations alive over one agent subprocess. A single-active-session bridge would force extra processes and would not match Zed's client model, which tracks multiple session ids and concurrent loads. Multiplexing introduces isolation risks: events, prompt completion, cancellation, permission prompts, config selections, and predictable background-task ids must never cross session boundaries.
## Decision
The ACP bridge stores live sessions in `Map<SessionId, SessionRecord>`. Agent-scoped callbacks use `ownedRecord`: look up `agent.session.id` in that forward map and accept the record only when it owns the exact agent object, so a foreign same-id object cannot claim the session. A record owns its agent handle, in-flight prompt, live tool-call presentation state, pending idle config switches, session cwd, and client capability snapshot. A separate loading-id set reserves each id before asynchronous resume so two pipelined loads cannot construct duplicate agents; distinct ids may load concurrently.
Every `session/event` and `agent/status` callback resolves the owning record before sending or settling anything. Each session permits one in-flight prompt independently. The prompt records a log watermark, captures its own `turn/start`, and settles only on the matching `turn/end`; a late end from a cancelled prior turn cannot resolve a newer prompt. `session/cancel` addresses one record and calls only that agent's queue-aware cancel path.
Permission ownership uses the same exact-agent check against the forward map. The ACP `approval/request` answerer prompts only the editor session that owns the requesting agent and delegates foreign requests. User-interaction elicitations likewise route by agent ownership. Per-session sandbox and approval config values fold only that session's events, with pending idle switches stored on that record until the next turn anchors them.
Background bash tasks carry an opaque owner token equal to the owning session id. `bash_output` and `bash_kill` compare the caller's token with the executor's task ownership before reading or killing; a predictable task id alone grants no access. Ownership is stored with the executor task, so a tool plugin reload does not erase it.
Connection teardown clears the live map, settles each pending prompt as cancelled, and disposes all `AgentHandle`s in parallel. Each handle stops and awaits its loop, flushes the session while attached, unregisters the agent, and removes the session. Teardown is memoized and shared by client disconnect and plugin disposal.
## Protocol and workspace scope
[ACP v1 expressly permits several concurrent sessions on one connection](https://github.com/agentclientprotocol/agent-client-protocol/blob/01beb5fb5eec60e9f516a80d85eb03594bac61e3/docs/get-started/architecture.mdx#L16-L24), and each new session carries its own primary `cwd`. This bridge implements that session-level multiplexing, including different primary workspaces as recorded by the [per-session cwd decision](../architecture/2026-07-02-fs-per-session-cwd.md); it does not create one agent subprocess per session.
A multi-root project inside one session is a separate optional capability: ACP defines the [effective roots as the primary `cwd` plus `additionalDirectories`](https://github.com/agentclientprotocol/agent-client-protocol/blob/01beb5fb5eec60e9f516a80d85eb03594bac61e3/docs/protocol/v1/session-setup.mdx#L313-L367). [Zed sends the remaining project work directories only when the agent advertises that capability](https://github.com/zed-industries/zed/blob/ea77ca2818f3e059a2b61ecc7e63b67e01e1cec5/crates/agent_servers/src/acp.rs#L1139-L1145), otherwise it [drops them from the session request](https://github.com/zed-industries/zed/blob/ea77ca2818f3e059a2b61ecc7e63b67e01e1cec5/crates/agent_servers/src/acp.rs#L1454-L1472). The bridge does not advertise this capability and rejects non-empty values, as recorded in its [known limitations](../../../../packages/ui/acp/README.md#known-limitations-and-deferred-work), so a current Zed multi-root project reaches it with only the first work directory.
[The standard transport is one editor-launched agent subprocess per stdio connection](https://github.com/agentclientprotocol/agent-client-protocol/blob/01beb5fb5eec60e9f516a80d85eb03594bac61e3/docs/protocol/v1/transports.mdx#L17-L42); multiple editor connections therefore require multiple subprocesses or a custom transport, while this decision guarantees multiple sessions within one connection. Within that connection, `ctx.sandboxPolicy` resolves every session's `cwd` as its own `workspace-write` root, so the shared bash and filesystem services can serve concurrent projects without granting cross-project writes. This does not add ACP `additionalDirectories`; it removes the process-wide root limit from the already-supported one-primary-root-per-session path.
## Alternatives considered
**One live session per connection** — rejected. It adds process overhead and contradicts the target client's multi-session shape without removing multiplexing needs from the editor.
**A per-session `ctx.extend()`** — rejected. A child context does not by itself create a child plugin fiber, so listeners would still belong to the bridge fiber. The implemented bridge instead uses global listeners with explicit O(1) demultiplexing and per-session owned records; agent lifecycle is owned by `AgentHandle`.
**Agent object identity as bash-task ownership** — rejected. A resumed or replaced agent object may legitimately represent the same durable session. The opaque session token is the cross-boundary identity that should survive plugin reloads.
## Consequences
N sessions can stream, prompt, request permission, switch config, and run background tasks concurrently without interleaving or cross-settling. A cancel or dispose in one session does not affect its neighbors. The bridge pays for explicit maps and isolation tests, but it does not add one listener set per session and therefore avoids listener fan-out during long-lived connections.
The bridge still exposes no protocol method to close one live session independently. Today records leave together on connection teardown; session close/resume lifecycle capabilities remain deferred in the ACP feature checklist.
## Verification
The multi-session suite drives concurrent sessions through interleaved updates, independent in-flight prompts, targeted cancellation, same-id and distinct-id load races, permission routing, config isolation, and teardown. Tool-bash tests prove one session cannot read or kill another session's background task.

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# Agent Note: Code Mode — the model writes TypeScript against the tool registry
Status: implemented
## Problem
In the registry's native presentation, the agent loop advertises every visible capability as a JSON-schema function definition. `ToolRegistry` contributes its schemas to the system-prompt assembly, the assembly's `tools` land on the wire (and in the logged request header), the model invokes one `tool-call` block per step, and the loop dispatches each call through `ctx.tools.execute()` **sequentially** (parallel tool execution is an explicit open TODO in `dsh-tools` and [docs/architecture.md](../../../../docs/architecture.md)), with **every** intermediate `tool-result` re-entering the model's context on the next request.
For multi-step tool work this is token-heavy and serial. The model cannot compose tools — loop over a result set, branch on an intermediate value, fan out, post-process — without a full model round-trip per call, and each round-trip drags the entire intermediate result back into context whether the model needs it or not.
Cloudflare's [Code Mode](https://blog.cloudflare.com/code-mode/) proposes an alternative grounded in a simple observation: LLMs are better at writing code than at emitting tool calls, because they have seen millions of lines of real code and comparatively few contrived tool-calling traces. Instead of one tool call per step, the model writes a TypeScript program against a generated API over the tools, the program executes in a sandboxed runtime, and the model curates what comes back — only what it prints or returns — instead of every intermediate result.
Tool presentation belongs to the registry that owns tool visibility: implementing a second presentation as an after-the-fact waterfall transform would make correctness depend on listener order and fight [reconstructable requests](../architecture/2026-07-05-reconstructable-requests.md). The execution substrate is also part of the foundation rather than a placeholder: Node `worker_threads` provides a separate isolate, an empty environment, heap caps, and termination of a hot synchronous loop, while fitting the harness's existing trust model (§Trust posture).
## Decision
Three decisions, each elaborated in its own section below:
1. **Code Mode is a first-class presentation mode of `ToolRegistry`** (`dsh-tools`), selected by a validated `mode` config: `'native'` (the default, contributing the visible capability schemas), `'code'` (the registry contributes only its reserved `run_code` transport plus a generated SDK `.d.ts` in the system prompt), or `'both'` (native schemas and the transport + SDK). The registry shapes its canonical contribution at the source; the cooperative prompt-assembly result remains authoritative, and the logged request header records exactly that returned presentation.
2. **Code execution is a capability seam** — `packages/code-runtime/` contains the interface package `@deepseek-ai/dsh-code-runtime`, which owns `ctx.codeRuntime` ([capability seams](../architecture/2026-06-13-capability-seams.md); consumer = `dsh-tools`, with core-consumes-a-seam precedent in `agent-loop` → `dsh-llm`). The runtime knows nothing about tools: it is handed a program and named async bindings, runs the program, and reports `{ value, logs, error? }`. Language and substrate are backend properties, so a future Python or container backend is another implementation package, not a redesign.
3. **The shipped implementation is `@deepseek-ai/dsh-code-runtime-worker`**: one fresh Node worker thread per run, executing the model's TypeScript after type-strip, with bindings bridged over the message port, an empty environment, configurable heap/output/time caps, and hard termination. Its trust posture is bash-equivalent by design — no unsafe-acknowledgement flags — because the harness already ships `dsh-bash-local`, which executes arbitrary model-written shell commands with strictly *more* ambient authority.
### The registry owns the mode
`ToolRegistry` gains a schemastery-validated config (`static Config`), its first: `mode: 'native' | 'code' | 'both'`, default `'native'`. A deployment flips it from `cordis.yml` (`tools: { mode: code }`) — no code edit, per the no-hardcoded-tunables convention.
**Wire tool list.** The registry contributes visible capabilities in `'native'`, only `run_code` in `'code'`, and both in `'both'`. The final `PromptAssembly.tools` list is logged in the request header. `run_code` is a reserved presentation transport outside registration and restriction layers; direct prompt providers and the assembly waterfall remain responsible for their own contributions.
**Interaction with `toolOrder`, stated up front:** a configured `systemPrompt.toolOrder` naming native capabilities rejects every assembly under `mode: 'code'`, because those names are outside that mode's wire-validation universe. This is correct behavior, not a bug: a deployment using Code Mode updates its order config or drops it.
**SDK prompt section.** In `'code'` and `'both'`, the lazy `tools:sdk` section in the tool-guidance order band renders TypeScript declarations plus fixed usage instructions for the scope's visible capabilities. It shares lookup and execution visibility, excludes `run_code`, and sorts tools lexicographically for byte-stable output.
**Assembly ownership.** `run_code` and `tools:sdk` enter the trusted `system-prompt/assemble` waterfall as normal assembly inputs. A scoped `tools:sdk` section may shadow the global default before dispatch, and a listener may remove or replace either contribution. The waterfall's returned assembly is final, so whoever changes these inputs owns preserving a viable Code Mode protocol when the deployment expects Code Mode to remain usable; no restoration pass overrides deliberate composition.
**Codegen.** `jsonSchemaToTs()` maps the `defineTool` JSON-Schema subset to TypeScript, carries schema descriptions into JSDoc, and degrades unsupported constructs to `unknown`. The SDK exposes tools as quoted object keys, supporting arbitrary names without aliases or collisions. Typing is advisory because the runtime strips types before execution.
### The run_code tool and the dispatch bridge
Under `'code'` and `'both'` the registry owns `run_code` as a reserved presentation transport with one required parameter, `{ code: string }`. It is represented by a normal `ToolDefinition` for dispatch but stays outside the filterable capability layers, so restrictions cannot accidentally remove Code Mode's only entry point. Calls traverse the complete tool pipeline — `tools/pre-execute` → monotonic guards → `tools/execute` around dispatch → `tools/post-execute` → immutable `tools/result` notification — exactly like native calls; a permission plugin can inspect the program text before it runs, and final-result observers see the normalized outer outcome. Its `execute(args, exec)`:
1. **Build bindings.** One run-scoped signal follows outer cancellation and is aborted whenever the run settles. Each visible tool binding JSON-normalizes its arguments—rejecting lossy values before dispatch—waits on the serialization queue, executes with a deterministic call id and the outer token as `parent`, defers returned contexts through the outer execution, and logs `tool/code-dispatch`. Successful text becomes a string and non-text blocks become placeholders; tool errors reject the binding promise. Every sub-call retains its own immutable execution identity and traverses the full tool pipeline.
2. **Runs the program**: `ctx.codeRuntime.run({ program: args.code, bindings: [{ global: 'tools', functions }], signal: runController.signal })`. The runtime receives the run-scoped signal, not only the caller's outer signal, so any way the outer run settles also aborts work inside the runtime.
3. **Settle after quiescence.** When the runtime settles, the bridge aborts outstanding work and drains the dispatch queue before returning. Success returns captured output and presentation metadata. A runtime failure becomes `CodeRunFailedError`; backend rejection uses the registry's normal error boundary. Both produce structured error results, and no sub-call can append after `run_code` settles.
**Sub-call contexts are deferred through the parent.** Injecting inside `run_code` would break parent call/result adjacency, so `ToolRunContext.deferContext()` collects every sub-result `additionalContexts` entry in dispatch order. The registry carries that array even when the program later throws, and the loop appends each entry only after the outer result and every sibling result in the step. An outer post-execute block discards tool-deferred entries and exposes only contexts explicitly attached by the blocking decision.
**Concurrency is serialized.** Each run owns a dispatch queue, so even `Promise.all` executes tool calls in submission order. Settlement abandons queued calls that have not started. Parallelism requires per-tool concurrency-safety metadata.
**Presentation.** `run_code`'s render intent is decided here per the [render-intent Agent Note](../architecture/2026-07-02-tool-render-intent-union.md): `presentCall` → a `generic` card, `kind: 'execute'`, title = the program text, `rawInput` = the same program text; `presentResult` → a `generic` card whose content is the captured output (from `meta`). The program is the title because ACP execute cards reliably render that field while some clients omit body and raw-input content. This is not a `terminal` card: that card's semantics are "a shell command in a working directory", which a program is not.
### Observability: `tool/code-dispatch`
Each sub-dispatch appends a log-only `tool/code-dispatch` event containing parent and child call ids, tool identity, normalized arguments, and result summary. It remains outside model history but available to persistence and UIs. Appends occur inside the open `run_code` turn. Direct executions without an agent still run but cannot log the event.
### The code-runtime seam
`packages/code-runtime/code-runtime/` — `@deepseek-ai/dsh-code-runtime`, depending only on `cordis`. An abstract `CodeRuntime extends Service` (`super(ctx, 'codeRuntime')`) plus the vocabulary:
- `CodeRunRequest = { program: string; bindings: CodeBindingNamespace[]; signal?: AbortSignal }`
- `CodeBindingNamespace = { global: string; functions: Record<string, (args: unknown) => Promise<unknown>> }` — the runtime exposes each namespace as a global object of async functions inside the program; binding arguments and resolutions must be structured-cloneable (a runtime may cross a serialization boundary; ours does).
- `CodeRunResult = { value?: unknown; logs: CodeLogEntry[]; error?: CodeRunFailure }` — program execution outcomes, including exception, timeout, abort, and worker exit, resolve as the `error` field. `run()` may reject only for caller/seam misuse (for example a duplicate binding namespace); consumers still contain a non-conforming backend rejection at their own error boundary.
- `CodeLogEntry = { source: 'console' | 'stdout' | 'stderr'; level?: 'log' | 'info' | 'warn' | 'error' | 'debug'; text: string }`
- `CodeRunFailure = { kind: 'exception' | 'timeout' | 'abort' | 'worker-exit'; message: string }` — orthogonal outcomes reported independently per [defensive patterns](../../../../docs/defensive-patterns.md); a timed-out run is not an exception, an abort is not a timeout.
- Two readonly backend descriptors, informational not gating: `language` (what the program must be written in — `'typescript'` for the shipped backend; a Python backend would say so, and pair with its own SDK generator on the presentation side) and `isolation` (`'worker-thread'` for the shipped backend; `'process'`, `'container'`, … for future ones). `dsh-tools` requires `language === 'typescript'` in the MVP — its codegen emits TS — and fails the assembly loudly otherwise, the same misconfiguration idiom as `toolOrder` violations (as when `mode` is non-native with no `ctx.codeRuntime` loaded at all).
Requests contain every runtime input; implementations own validated timeout and cap defaults. The registry looks up the optional runtime only when Code Mode is assembled, so native mode does not depend on one. Missing or language-incompatible runtimes fail loudly. Alternate substrates or languages can replace the implementation behind the same seam, paired with the appropriate SDK generator.
### The worker-thread runtime
`@deepseek-ai/dsh-code-runtime-worker`, the second package of the `packages/code-runtime/` group. Per `run()`:
1. **Type-strip host-side** with Node's built-in `stripTypeScriptTypes` (`node:module`; present across the repo's whole engines range, `^22.19.0 || >=24.0.0`, and position-preserving, so runtime error line numbers match the model's source). Strip-only mode rejects non-erasable syntax (`enum`, namespaces) — that rejection returns as `error.kind: 'exception'` with Node's message, the SDK instructions say "erasable TypeScript only", and the model self-corrects like any other program error. A syntax-level failure never spawns a worker.
2. **Spawn one fresh `Worker` per run** from the package's own bootstrap module: `env: {}` (truly empty — stronger than the scrubbed-env rule for spawned commands), `resourceLimits` from config, `stdout`/`stderr` captured into `logs` rather than inherited. No pooling and no cross-run state: a program's world dies with its worker, which keeps runs reconstructable from the log alone and makes state bleed unrepresentable.
3. **Execute** in the bootstrap: the stripped program becomes the body of an `AsyncFunction` whose parameters are the binding globals and a capturing `console` shim, so top-level `await` and `return` work and the program's completion value is the run's `value` (structured-cloneable values cross as-is; anything else is replaced by its `util.inspect` rendering, documented).
4. **Bridge bindings over the message port**: each binding function in the worker posts `{ id, global, name, args }` and awaits the reply; the host validates the name against the request's bindings, invokes, and replies `{ id, ok, value }` or `{ id, ok: false, message }` (a host-side binding rejection becomes a program-side rejection). The worker-side namespace objects are built null-prototype via `defineProperty`, so a binding named `__proto__`, `constructor`, or `toString` is an ordinary own property, not a prototype collision. Unknown names, duplicate ids, and post-settlement messages are rejected or ignored — the port protocol assumes a hostile peer, because the peer runs model code.
5. **Enforce independent budgets.** `computeMs` meters worker busy time, allowing slow awaited tools without excusing a hot loop. `maxWallMs` bounds total elapsed time, including unresolved waits. Expiry, cancellation, and completion terminate the worker. Heap exits and truncation are reported explicitly; compute, wall, heap, log, and return-value caps are validated configuration.
6. **Dispose to quiescence**: the service's own disposal terminates in-flight workers and *awaits* their exits before resolving, per [defensive patterns](../../../../docs/defensive-patterns.md).
### Trust posture
The worker runtime provides containment, not a security boundary: model code can reach Node APIs and has authority comparable to the bash tool. `worker.terminate()` stops the thread but not OS processes it spawned. Code Mode uses the same `tools/pre-execute` policy gate as bash and adds an empty environment, heap limits, a separate isolate, and hard termination of the program itself. Deployments that need a hard multi-tenant boundary need a container-class backend for both code and bash; the runtime's isolation descriptor lets them distinguish that backend.
### What the model sees
The SDK instructs the model to write an async erasable-TypeScript body, call tools through `await tools.name(args)`, catch rejected tool calls when needed, and return or log only the output that should re-enter context. Calls remain sequential even under `Promise.all`. The declaration prefix can be as large as native schemas, especially in `'both'`, but remains stable for provider caching.
## Consequences
Deployments switching to `'code'` must update any native-only `toolOrder`. Assembly listeners own the integrity of any rewritten protocol surface. Sub-dispatch remains serialized, while per-call contexts retain their source, envelope, and metadata through the outer result.
## Testing
- **Worker runtime:** Real-worker tests cover output and value capture, failure kinds, compute and wall budgets, hostile binding traffic, empty environment, structured-clone fallback, output caps, and disposal to quiescence. A built-package test runs the worker entry under plain Node.
- **Registry integration:** Tests cover code generation, all presentation modes, reserved-name and restriction rules, scoped visibility, authoritative assembly rewrites, `toolOrder`, runtime compatibility failures, full-pipeline sub-dispatch, parent-token correlation, serialization, cancellation and queue drain, JSON normalization, error propagation, log events, ordered context deferral across successful and failed programs, outer-block suppression, and HMR cleanup.
- **With-key e2e:** A real model composes two bash calls in one program; another discovers nested workspace instructions through a Code Mode fs dispatch. The tests verify collapsed request headers, correlated dispatch events, resulting files, deferred context, and model behavior.
- **Snapshot:** The `code-mode-turn`, `both-mode-turn`, and `code-mode-workspace-context` fixtures pin SDK text, header tool lists, dispatch events, deferred context, and result cards.
## Alternatives considered
**An add-on consumer plugin with zero core changes.** Rejected because `agent/request` is call-config-only under [reconstructable requests](../architecture/2026-07-05-reconstructable-requests.md), while transforming an assembled tool list would have to undo `toolOrder` canonicalization without owning its config and would depend on listener order. Which tools the model is offered, and in which representation, is the registry's single concern: native schemas and the SDK are two projections of one visible store.
**`node:vm` as the reference runtime, with hardening deferred.** Rejected: `node:vm` is not isolation (prototype-chain escapes reach the host realm) and cannot interrupt a hot loop. A worker thread provides a separate isolate, empty environment, `resourceLimits`, and reliable `terminate()` at bash-equivalent trust, so the reference and production implementation are one package without an unsafe-acknowledgement ceremony.
**Result elision / summarization over native tool-calling.** Addresses only the context-bloat half of the problem: trimming old `tool-result`s is cheap to add as a logged surface replacement under reconstructable requests, but still pays one model round-trip per call and cannot express loops, branches, or joins. Complementary, not competing; it can layer under Code Mode for residual native calls.
**Parallel native dispatch in the loop.** The other answer to round-trip cost; still valid future work (the open TODO), still blocked on concurrency-safety metadata, and still no composition — it parallelizes calls the model already decided on in one step. Code Mode's serialized-queue decision keeps the two compatible: when the metadata lands, both native parallel dispatch and per-tool binding parallelism unlock together.
**Always-exclusive (Cloudflare-faithful, no mode).** Rejected for this SDK's primary consumer: a coding agent's bread-and-butter single calls (`bash`, `read`, `edit`) are already ideal as native calls, and forcing every edit through a program taxes the common case. The mode config keeps the faithful form (`'code'`) one line away without imposing it.
**Per-tool visibility tiers (this tool native, that tool code-only).** Deferred: it needs per-tool metadata and a presentation split that `'native' | 'code' | 'both'` does not, and its design depends on evidence about how models split usage under `'both'`.
**Sanitized identifier aliases in the SDK** (`my-tool` → `my_tool`, Cloudflare's approach). Rejected: quoted keys on a `declare const` make every name reachable with zero alias-collision logic; models handle `tools["my-tool"](…)` fine.
**A REPL-style persistent kernel** (state survives across `run_code` calls). Rejected for the MVP: cross-call state would be invisible to the session log, breaking the reconstructability guarantee that every request is a pure function of the log; fresh-per-run keeps it. A kernel-style backend remains expressible behind the seam later, with its own logging story.
## Risks
**The worker is not a hard security boundary.** Deliberate and documented (§Trust posture): posture equals the existing bash tool, containment exceeds it, gating uses the same seams. Deployments needing more need a future `isolation: 'container'` backend — tracked as the seam's designed extension, not a TODO on this design.
**`stripTypeScriptTypes` is marked experimental.** It is the same engine (amaro/swc) behind Node's own native `.ts` execution, exposed as an API across this repo's whole engines range. Mitigations: the runtime's unit suite pins the behaviors relied on (position preservation, erasable-only rejection message shape loosely), the call sits behind one private function, and `amaro`/`sucrase` are drop-in replacements if the API shifts. The erasable-only subset is a model-facing contract line, and the error path is a working feedback loop, not a dead end.
**Prompt cost of the SDK, especially under `'both'`.** The `.d.ts` can rival the native schemas it complements; `'both'` carries two representations. Prefix stability + provider caching amortize per-session cost; the mode is per-deployment; the Agent Note makes no unconditional-savings claim. Measured guidance (when to prefer which mode) is explicitly post-ship learning.
**Registry scope growth.** `dsh-tools` absorbs codegen, a tool, a bridge, and an event. Contained by module boundaries inside the package (`ts-types.ts`, `code-mode.ts` beside `schema.ts`/`json-schema.ts`/`presentation.ts`) and by the seam: everything substrate-shaped lives behind `ctx.codeRuntime`.
**Structured-clone values can exceed JSON.** Tool bindings therefore JSON-normalize arguments before dispatch, ensuring every executed call can be logged. The lower-level runtime keeps its wider port contract, while stricter consumers validate at their boundary. Non-text sub-results become placeholders.
**Serialized-only sub-dispatch.** `Promise.all` gains no wall-clock parallelism yet, only fewer round-trips; models may over-expect. The instructions state it; lifting it is tied to the same concurrency-safety metadata the native parallel-dispatch TODO needs.
**Budget metering reads the event loop, not a flag.** Busy-time polling (`eventLoopUtilization()`) is coarser than an exact CPU meter — a budget expires up to one poll interval late — and its correctness claim ("a pending dispatch cannot pause it") is load-bearing against a hostile program. Both sides are unit-tested (hot loop with a pending decoy dispatch dies at `computeMs`; idle-on-slow-binding survives to `maxWallMs`), and the poll interval is an internal constant, not config — nothing a deployment could mis-tune into a bypass.

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# Agent Note: Filesystem tool schemas — model-facing read/write/edit shapes
Status: implemented
## Problem
[The filesystem capability-seam Agent Note](../architecture/2026-06-17-filesystem-capability-seam.md) defines the filesystem capability seam (`ctx.fs`), the package split (`dsh-fs`, `dsh-fs-local`, `dsh-tool-fs`, plus the `dsh-fs-policy` policy plugin), and the observed-file/stale-version policy for read-before-write/edit checks — which the [split-fs-seam](../simplification/2026-06-26-fsspec-style-fs-seam.md) and [event-gate](../architecture/2026-06-26-file-context-as-event-gate.md) Agent Notes moved off `ctx.fs` into the `dsh-fs-policy` plugin on the `fs/*` event gate. The remaining decision for the first filesystem tool delivery is the model-facing schema surface: what arguments the model sees for `read`, `write`, and `edit`.
The schema should be small enough to implement in the first `dsh-tool-fs` pass, but stable enough that future local/remote/sandboxed filesystem backends do not require model-facing churn. It should also avoid importing every option from reference systems. Claude Code and OpenCode expose similar core file tools but differ in naming style and extra flags; this Agent Note chooses the minimal shared surface for the prototype.
## Decision
`@deepseek-ai/dsh-tool-fs` exposes these three model-facing tools in the first filesystem suite:
| Tool | Our schema | Claude Code | OpenCode | Notes | Part of prototype |
|---|---|---|---|---|---|
| `read` | `read(file_path, offset?, limit?)` | `Read(file_path, offset?, limit?, pages?)` | `read(filePath, offset?, limit?)` | Files only; 1-indexed `offset`; no image/PDF/multimodal support in the first pass. | YES |
| `write` | `write(file_path, content)` | `Write(file_path, content)` | `write(content, filePath)` | Creates or overwrites UTF-8 text. Under the default fs-policy, updates to existing files require a prior observation; new-file creates do not. | YES |
| `edit` | `edit(file_path, old_string, new_string, replace_all?)` | `Edit(file_path, old_string, new_string, replace_all?)` | `edit(filePath, oldString, newString, replaceAll?)` | Literal string replacement; unique match required by default; under the default fs-policy requires a prior observation (any windowed read counts). | YES |
The schema uses snake_case field names (`file_path`, `old_string`, `new_string`, `replace_all`) to align with Claude Code and with existing DeepSeek Harness tool-schema examples. The consumer package translates these model-facing names into `ctx.fs` calls and `fs/*` event dispatches.
## Tool schemas
### `read`
`read` inspects a UTF-8 text file and returns line-numbered content.
Arguments:
- `file_path: string` — required. Path to read, resolved by `ctx.fs`.
- `offset?: number` — optional. 1-based first line to return. Defaults to the first line.
- `limit?: number` — optional. Maximum number of lines to return. Defaults and caps are implementation details of `dsh-tool-fs` / `ctx.fs`.
Non-goals for the first pass:
- No PDF `pages` argument.
- No image or multimodal file reads.
- No directory listing through `read`; if needed, listing becomes a separate future tool.
### `write`
`write` creates or fully replaces a UTF-8 text file.
Arguments:
- `file_path: string` — required. Path to write, resolved by `ctx.fs`.
- `content: string` — required. Full UTF-8 text content to write.
Under the default fs-policy, updating an existing file with `write` requires a prior observation (a read/write/edit) of that file by the same execution context; the `dsh-fs-policy` plugin supplies the observed version as the stale guard on `fs/write-intent`. Creating a new file does not require a prior observation. With the policy plugin absent, `write` is an unconditional bare-provider create-or-overwrite.
The schema does not expose `expected_hash`, `expected_version`, or `create_only` as model-facing parameters. Stale-version checks are driven by backend-produced versions and the policy plugin's observed state, not by asking the model to copy version tokens through the schema.
### `edit`
`edit` updates an existing UTF-8 text file by replacing literal text.
Arguments:
- `file_path: string` — required. Path to edit, resolved by `ctx.fs`.
- `old_string: string` — required. Literal text to replace. Empty strings are invalid in the first pass.
- `new_string: string` — required. Literal replacement text; an empty string deletes the match.
- `replace_all?: boolean` — optional. Defaults to false. When false, `old_string` must identify exactly one match.
`edit` requires a prior observation of the file in the same execution context (any windowed read counts — authorization is version freshness, not a full-view requirement), or a prior write/edit by that context. The `dsh-fs-policy` policy plugin derives the owner and supplies the recorded version as the stale guard; the provider's mutation lock enforces it.
The first pass rejects Codex-style patch grammars and multi-mode edit APIs. It uses one strict literal replacement mode so the model-facing contract stays simple and the backend can own exact-match, duplicate-match, line-ending, and stale-version semantics.
## Result shape
The first implementation returns `ContentBlock[]` through the existing `ToolDefinition.execute()` contract. `ctx.fs` returns structured filesystem results and owns file-state recording/refreshing; `tool-fs` formats those results into the model projection.
Default native projections:
| Tool | Structured `ctx.fs` outcome consumed by `tool-fs` | Default model projection |
|---|---|---|
| `read` | returned lines, returned line count, total line count, target display path, file version, partial-view flag | line-numbered text plus pagination footer |
| `write` | create/update operation, target display path, new file version | concise create/update success text |
| `edit` | replacement count, replace-all flag, target display path, new file version | concise edit success text |
The structured outcome does not restate model arguments such as `file_path`, `old_string`, or `content` unless the backend has resolved them into new information such as `displayPath`, `targetKey`, or a new version. Token-conscious truncation is part of the model projection, not the backend's canonical result.
## Deferred
The following are deliberately out of scope for the first filesystem schema pass:
- Model-facing `expected_hash`, `expected_version`, or `create_only` parameters.
- Directory listing, glob, grep, and search tools.
- Binary-safe read/write operations.
- PDF/image/multimodal `read`.
- Code Mode projection values for filesystem tools.
- A canonical edit diff format.
## Testing
Schema tests pin the required/optional argument set per tool, empty-`old_string` rejection, the `replace_all` default, the snake_case field names, description prose that states the observation policy, and root-plugin suite registration; integration tests execute all three tools through `ctx.tools.execute()` against the real `dsh-fs-local` provider and verify the model arguments translate into the expected `ctx.fs` calls and `fs/*` dispatches.
## Alternatives considered
- **A Codex-style patch grammar or multi-mode edit API** — rejected: one strict literal replacement mode keeps the model-facing contract simple and lets the backend own exact-match, duplicate-match, line-ending, and stale-version semantics.
- **camelCase argument names (OpenCode's style)** — snake_case aligns with Claude Code and the existing harness tool-schema examples, and naming is public surface once shipped.
- **Model-facing `expected_hash` / `expected_version` / `create_only` parameters** — rejected: stale checks are driven by backend-minted versions and the policy plugin's observed state, never by fragile model-copied tokens.
## Consequences
**The first schema is intentionally smaller than Claude Code's.** Dropping PDF pages, multimodal read, rich grep/list flags, and expected hash fields keeps the implementation focused, but users may ask for those quickly. They arrive as separate Agent Notes or focused follow-ups rather than overloads of the initial schema.
**No explicit model-facing stale guard in v1.** The schema does not ask the model to provide an expected hash/version. That is intentional: stale checks come from backend-produced versions and the `dsh-fs-policy` plugin's observed state, not from fragile model-copied tokens. Filesystem safety failures surface through structured `FsError` codes owned by `dsh-fs`, not through model-supplied version fields.
**Naming becomes public surface.** Once shipped, changing `file_path` to `filePath` or `old_string` to `oldString` would churn prompts, examples, and downstream clients. This Agent Note chooses snake_case up front and treats it as the stable model-facing contract.

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# Agent Note: Rich ACP bash rendering — the terminal card via the `_meta` convention
Status: implemented
## Problem
The ACP bridge lets each tool own its call rendering via `presentCall`/`presentResult` (see [tool-call UI presentation](2026-06-14-acp-agent-client-protocol.md) and `packages/core/tools`). For `bash` we surface the exact command as the `tool_call` title, the model's `description` as a content text block, `kind: 'execute'`, and the completed output wrapped in a fenced ` ```console ` text block.
Reference editors render terminal metadata as a dedicated card with cwd, command, live-style output, and exit status; plain text loses that structure. The command is the title because execute cards hide raw input, while the human-readable description remains a separate block above the card.
## Key finding: agent-executed terminals use a `_meta` convention, NOT `terminal/create`
The ACP spec has a *client-side* terminal sub-protocol — the agent calls the client's `terminal/create` with `{ command, args, cwd, env }` and the **editor** executes the process, then the agent reads `terminal/output` / `wait_for_exit`. That model is wrong for us: our harness executes bash itself through `dsh-bash` (sandboxed env-scrub, background-task ownership, per-session cwd). Routing execution to the editor would bypass all of that and fork execution into two backends.
Studying the two reference agents (2026-06-18) shows neither uses `terminal/create` for their own shell tool — **both keep agent-side execution and emit a `_meta` convention** that Zed special-cases:
- **`claude-agent-acp`** (`tools.ts`, `acp-agent.ts`): gated on `clientCapabilities._meta.terminal_output`. The `tool_call` carries `content: [{ type: 'terminal', terminalId }]` and `_meta.terminal_info.{ terminal_id, cwd }`; output/exit arrive on the `tool_call_update`'s `_meta.terminal_output.{ terminal_id, data }` and `_meta.terminal_exit.{ terminal_id, exit_code, signal }`.
- **`codex-acp`** (`CodexToolCallMapper.ts`, `TerminalOutputMode.ts`): same `terminal_info` on the call; output via `_meta.terminal_output` (full) or `_meta.terminal_output_delta` (incremental), selected from the same `_meta.terminal_output` capability.
Zed's side (`crates/agent_servers/src/acp.rs`, verified): on a `ToolCall` whose `_meta.terminal_info.terminal_id` is set, it registers a **display-only** terminal (header = `terminal_info.cwd`, label = `tool_call.title`); on a `ToolCallUpdate`, `_meta.terminal_output.data` writes to that terminal and `_meta.terminal_exit.{exit_code,signal}` sets the status. It advertises the capability as `clientCapabilities._meta.terminal_output = true`. `_meta` itself is a spec-blessed ACP extensibility point (typed `{[k]: unknown} | null` on `ToolCall`/`ToolCallUpdate`); the *specific keys* here (`terminal_info`/`terminal_output`/`terminal_exit`) are a Zed convention, not part of the ACP spec — but they are the de-facto contract for the Zed integration and the only way to get the terminal card while keeping execution agent-side.
## Decision
Keep `dsh-bash` agent-side execution; render the terminal card via the `_meta` convention, capability-gated, with the ` ```console ` text block as the guaranteed fallback.
1. **Capability.** `initialize` reads `clientCapabilities._meta.terminal_output` and the bridge remembers it per connection.
2. **Neutral presentation vocabulary.** `dsh-tools` gains a terminal-shaped presentation a tool can return — provider-neutral (`cwd`, the output `data`, an `exitCode`/`signal`), NO ACP types. `dsh-tool-bash` returns it for `bash` (cwd from the resolved workdir; output + exit parsed from the run result).
3. **Bridge mapping.** When the client advertised the capability, the bridge maps that presentation to: on `tool_call`, `content:[…, {type:'terminal', terminalId}]` (any tool `content`, e.g. the description, rendered BEFORE the terminal block) + `_meta.terminal_info.{terminal_id,cwd}`; on `tool_call_update`, `_meta.terminal_output.{terminal_id,data}` (the captured output) + `_meta.terminal_exit.{terminal_id, exit_code|signal}` (the parsed exit), with the update's text `content` OMITTED (an ACP `tool_call_update.content` REPLACES the call's content collection, so re-sending the fenced block would clobber the terminal content block). `terminalId` is derived from the harness `callId` (stable, unique per call). When the capability is absent, the bridge sends the description content block on the call and the existing ` ```console ` text content on the update — unchanged.
4. **The exit pill is parsed from the rendered output; no new execution path, no live streaming.** Output is attached at completion (from the agent's own `tool/result`), not streamed token-by-token. The exit-status pill (`_meta.terminal_exit.{exit_code,signal}`) IS emitted: the pure `presentResult(args, result)` seam sees only content blocks, so `dsh-tool-bash` recovers the structured exit by parsing the status markers (`[exit code: N]` / `[killed by signal: …]`) that `renderResult` appended — the parse is the exact inverse of the marker emission, the two co-evolve in one file, and a round-trip test guards the pair. Disposal is unaffected: nothing new to tear down, since the bridge never creates a client-side terminal.
## Alternatives considered
- **The ACP client-side terminal sub-protocol (`terminal/create`)** — explicitly rejected: the editor would execute the process, bypassing `dsh-bash`'s env scrub, background-task ownership, and per-session cwd, and forking execution into two backends. Both reference agents reject it the same way (the key finding above); agent-side execution plus the `_meta` convention is the only shape that yields the terminal card while keeping the harness's execution policy.
- **Threading a structured exit through the event schema** — rejected in favor of the marker round-trip: the pure `presentResult(args, result)` seam sees only content blocks, and the parse is the exact inverse of the marker emission, co-evolving in one file under a round-trip test.
## Consequences
- **Zed-convention `_meta` keys.** The terminal card rides on Zed-specific keys (`terminal_info`/`terminal_output`/`terminal_exit`) inside ACP's spec-blessed `_meta` extensibility point, NOT on the ACP terminal sub-protocol. A client that doesn't recognize the keys still gets the text fallback (the capability gate ensures we only emit them when the client opted in via `_meta.terminal_output`), so a non-Zed client is never worse off. If ACP later standardizes agent-executed terminals, migrate to that and drop the convention keys.
- **Capability honesty.** Emit terminal metadata ONLY when the client advertised `_meta.terminal_output`; the text fallback is the contract for everyone else and must never regress. Covered by a no-capability test asserting the ` ```console ` path.
- **terminalId collisions.** Deriving it from the per-call `callId` keeps it unique within a session and stable across the call/result pair; never reuse one across calls.
- **Exit parsed from rendered text.** The exit pill recovers `exit_code`/`signal` by parsing `renderResult`'s status markers rather than threading a structured exit through the event schema (which the pure `presentResult` seam never sees). The parse is the exact inverse of the marker emission and lives in the same file; a round-trip test pins the pair so a marker-format change that breaks the parse fails the suite. If the markers ever need to diverge from what the pill wants, surface a structured exit on the result event instead.
- **Provider-neutral vocabulary creep.** The terminal presentation widens the `dsh-tools` surface; keep it neutral (no ACP types leak into `dsh-tools`) and only as rich as a second UI consumer would also want.
## Out of scope / non-goals
The text-block baseline stays the no-capability default. Two follow-ups are deliberately NOT built here and would each warrant their own Agent Note when someone takes them on: **live incremental streaming** (`_meta.terminal_output_delta` as chunks arrive, which needs an incremental-output seam on `dsh-bash`), and **command classification** (parsing a `cat`/`sed` as a `read` card with a file location, a `grep` as a `search`, etc., falling back to the terminal card — display-only, must never change what executes).

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# Agent Note: Compaction as a capability seam (abstract contract + basic backend)
Status: implemented
## Problem
A long-running agent conversation grows without bound. As the event log accumulates turns, the derived message history eventually approaches the model's context window — the model then truncates mid-response (`max-tokens`) or degrades. **Compaction** is the mitigation: replace a run of older history with a concise summary, keeping recent context intact.
The [session surface](../architecture/2026-06-18-session-surface.md) was built as the foundation for exactly this — an ordered projection over the event log with a `surfaceOp: { op: 'replace', start, end }` operation purpose-built to shadow a range of entries and insert a replacement, with `sourceEventSeqs` recording provenance so the decision replays deterministically. What remained was the plugin that *decides what to compact and produces the summary*.
Two forces shape the design. First, compaction policy and reusable token measurement vary independently: measurement belongs to the LLM-family [`ctx.tokenMeter` service](../architecture/2026-07-15-replay-token-meter-service.md), while summarization can be a model call, a template, or a remote service. Second, `SurfaceEventType` is closed to five event types (`user/message`, `assistant/message`, `tool/result`, `context/message`, `steering/message`); only those may carry `surfaceOp`. A bespoke `compaction/*` event therefore **cannot** itself appear on the surface — the compiler and Session's always-on append/seed boundary reject `surfaceOp` on it.
## Decision
### Compaction is a capability seam, split interface / implementation
Per the [capability-seams Agent Note](../architecture/2026-06-13-capability-seams.md), compaction ships as separate packages so the contract, the algorithm, and (later) the consumer surface evolve independently:
1. **Interface** — `@deepseek-ai/dsh-compact`: an abstract `CompactService` owning the `ctx.compact` key, the `CompactionResult` vocabulary, the `compact/*` session events, and the canonical checkpoint message source. It declares `compactIfNeeded()` and `compactRegion()` as **abstract** — the contract states *what* compaction does, not *how*.
2. **Implementation** — `@deepseek-ai/dsh-compact-basic`: a concrete `BasicCompactService` that consumes `ctx.tokenMeter` and owns the tail→head retention walk, summarization via `ctx.llm.stream()`, the surface replacement, the lock, post-step pressure, and canonical context-overflow recovery. `summarize()` is its sole subclass hook; pricing and replay stay with the meter.
3. **Model-free companion** — `@deepseek-ai/dsh-compact-tool-result-prune`: a concrete optional service that rewrites oversized current `tool/result` nodes before the backend selects a summary range. It is not a second compaction implementation and does not implement `CompactService`.
4. **Consumer** — deferred. A `/compact` tool and slash command will `inject: ['compact']` and call the contract; they are intentionally out of scope here so the seam settles first.
### The contract depends on `dsh-session` and `dsh-llm` — a deliberate deviation
The capability-seams Agent Note states the interface package "depends only on cordis" (true of `dsh-bash`, whose vocabulary is self-contained). Compaction **cannot** honor that: its verbs act on an agent-owned `Session` (`compactRegion(start, end, agent)`) and its output uses the content vocabulary (`CompactionResult.summary: ContentBlock[]`). There is no way to express the contract without naming `Session`/`SessionEvent` (from `dsh-session`) and `ContentBlock` (from `dsh-llm`).
This is not a coupling smell — it is the contract's domain. The "only cordis" guidance was always shorthand for "the interface depends only on what the contract genuinely names, and never on an implementation." `dsh-session` and `dsh-llm` are themselves interface/vocabulary packages, not implementations; `dsh-compact` still imports no backend. The seam's real invariant — *consumers and implementations evolve independently behind an abstract service* — holds intact.
### Abstract `compactIfNeeded` / `compactRegion`, algorithm in the backend
An earlier draft put the full algorithm (the retention walk, token-summing, text extraction) as concrete methods on the interface. That recouples the contract to one strategy: a backend that wants a different retention policy or event sequence would have to fight inherited concrete code. Making both core methods abstract puts every *how* decision in the backend and keeps the interface a statement of *what*. Token measurement is not a compaction hook at all; the singleton service lets multiple consumers share one per-session replay fold.
`compactIfNeeded(agent, trigger, signal)` takes an explicit `'pressure' | 'context-overflow'` trigger and cancellation. It reads only the latest durable routed request; no header means no work, while any routed provider/model target uses the singleton estimator. `compactRegion(start, end, agent, signal?)` uses `agent.session` as its single session identity and keeps an optional signal for manual callers. The default summarizer resolves its target from explicit config, the latest logged routed target, then agent options, and records the provider/model pair after any `llm/stream` routing. It replays the routed request's prefix and appends the compaction directive as a trailing user message so the provider's warm KV cache is reused — see the [summary prefix-cache Agent Note](../bug-fix/2026-07-21-compaction-summary-prefix-cache-reuse.md). The call sets the provider-neutral `GenerateOptions.purpose` to `compaction`; adapters may map that purpose to model-hidden transport metadata, and the DeepSeek adapter sends `x-deepseek-harness-compact: 1`.
### Automatic pressure runs after successful durable step work
Successful-call pressure cannot run at pre-step because final `agent/request` routing, provider output, tool results, buffered context, and steering do not exist there. Serial `agent/post-step(agent, turn, step, signal)` fires after those facts are durable and before `step/end`. `dsh-compact-basic` measures the canonical logged request through `ctx.tokenMeter`, so the next request sees any replacement without a speculative envelope override. Once pressure qualifies, optional `ctx.toolResultPrune` rewriting runs before summary selection; compact-basic remeasures the durable surface and skips summarization if pruning restores safe pressure.
Canonical provider context overflow takes a separate path. The failed step closes, `agent/request-error` receives the original request error and consecutive retry count, and compact-basic prunes before forcing one useful balanced reduction. It returns retry only if `session.surface.replaceGeneration` increases, including pruning-only progress when no summary range exists; the loop then opens a new numbered step and reconstructs its request from the durable log. No replacement, a recovery failure before any replacement, cancellation, an exhausted cap, or an unrelated error preserves the original provider failure. If pruning already advanced the generation before later summary work fails, recovery retries from that durable pruned surface unless cancellation or disposal wins. The complete lifecycle decision is in the [after-call recovery Agent Note](../architecture/2026-07-10-after-call-compaction-pressure-and-overflow-recovery.md).
```
assistant/message → tool/result/context/steering
await serial agent/post-step ⟵ pressure compaction inside the successful step
step/end
provider overflow → step/end
await waterfall agent/request-error ⟵ forced compaction between attempts
retry → next numbered step/start ⟵ derives from the replacement surface
```
### Retention is turn-agnostic; tool-pairing balance is the only structural guard
Auto-compaction checks after **every successful** step, not once per turn. This is load-bearing for runaway-turn survival: a tool-heavy ReAct turn appends an `assistant/message` + a `tool/result` per step, so the surface grows within a turn. The post-step check can compact early closed tool pairs before continuation opens the next step, and provider-confirmed overflow remains the backstop when a request crosses the limit first.
`compactIfNeeded` retains the smallest tail of whole surface units whose estimated size reaches the resolved retained-token budget and compacts older nodes. A unit is a complete closed step or one no-step message. If the token cutoff lands inside a step, retention expands until the cut is tool-pairing balanced. Balance is checked on surface order, not log sequence, because replacement summaries have new sequence numbers at old surface positions. `dsh-compact` exports the before/after edge helpers; their per-session cache folds only appended surface-tail nodes while `replaceGeneration` is unchanged, does no event reads for log-only growth, and rebuilds current membership and balances after replacement. `compactRegion` rejects boundaries that split a tool call from its result. The in-flight turn receives no special retention.
A runaway turn thus compacts exactly like any other history: its early *closed* steps get summarized while its recent steps stay verbatim. When the only compactable content left is an un-splittable open tail step (its tool-calls have no results yet), compaction declines (`null`) and retries once that step closes.
**Some single-unit overflow remains out of scope.** Summary range selection cannot split an indivisible unit. The optional pruner can repair a closed tool pair when removable text-bearing tool-result content is the bulk and the pruned remainder fits. Envelope-only pressure, an oversized indivisible non-tool node such as a pasted `user/message`, and a tool unit whose non-prunable remainder is still oversized remain outside compaction; bounding those units is a separate concern.
### Head-anchoring: one auto checkpoint, always at the head
Auto-compaction always starts at the surface head, merging the prior checkpoint with newly compacted history so only one automatic checkpoint remains. `shadowedRange` is therefore positional rather than a numeric sequence interval: a newer summary sequence may occupy an older surface position. `shadowedSeqs` records the authoritative surface order. Manual mid-range compaction may leave multiple checkpoints.
### Approximate convergence invariant
`resolveConfig` supplies usable defaults: threshold ratio `0.8`, retained-tail ratio `0.16`, empty summarization provider/model overrides, `maxTokens: 8192`, `compactionRetries: 1`, `maxOverflowRetries: 1`, and `auto: true`. Optional exact provider/model policies partially override the top-level defaults; pressure scales ratios against capacity from the route-owning LLM adapter, while `retainTokens` can replace ratio retention. Retention must remain below the resulting threshold. Convergence remains dynamic because provider output caps can be spent on hidden or surfaced reasoning tokens and summary size is unpredictable. If pressure remains over threshold, `compactIfNeeded()` re-compacts the head checkpoint up to the configured retry count, but each committed summary must be smaller than what it shadows. Overflow needs no capacity metadata and bypasses threshold and retained-tail policy for one maximal balanced head reduction, leaving the newest indivisible unit. The ownership split is specified by the [routed model context and compaction policy Agent Note](../architecture/2026-07-20-routed-model-context-and-compaction-policy.md).
### Surface replacement: `compact/*` events are log-only; one `user/message` carries the summary
Because `SurfaceEventType` is closed, the summary cannot ride on a `compact/*` event. The backend instead appends a **single `user/message`** with `source: COMPACT_CHECKPOINT_SOURCE` and `surfaceOp: { op: 'replace', start, end }` whose `content` is the (framed) summary and whose `sourceEventSeqs` covers the shadowed entries *and* the bookkeeping events. The interface exports that source and `isCompactCheckpointSource()` so consumers recognize a persisted or cloned checkpoint without depending on backend package identity. The `compact/*` events are pure log records (lock + provenance). The surface mutation sits **inside** the lock — `compact/end` is the last event appended:
```
compact/start → log-only. Acquires the lock.
[summarize older range via the backend]
compact/summary → log-only. Provenance: raw summary, range, shadowed seqs, token count.
user/message → canonical checkpoint source + surfaceOp { op:'replace', start, end }.
THE surface mutation (framed summary).
deriveMessages() renders it as a user-role message.
compact/end → log-only. Releases the lock (carries `error` on a recoverable failure).
```
`deriveMessages()` then yields `[summary_as_user_message, ...retained_entries]`. Reusing `user/message` is honest rather than a workaround: a summary genuinely *is* user-role context.
### Checkpoint framing + incremental merge (backend-private)
The basic backend wraps the summary as established checkpoint context and tags it for incremental merging on the next cycle. The raw summary remains on `compact/summary`. Framing is backend policy; the seam promises that one replacement user message carries the possibly framed summary and uses the canonical checkpoint source.
### Blocking via a log-recorded lock, plus a crash/recoverable failure taxonomy
The `compact/start … compact/end` bracket is justified, in order of what now does the work:
1. **Crash-detectable orphan + provenance** (primary). Summarization is a slow model call persisted *after* `compact/start`. A crash mid-summarization leaves a `compact/start` with no matching `compact/end` — a detectable orphan. Releasing the lock last (rather than first) converts the crash window from *silent corruption* into that detectable orphan.
2. **Prevents concurrent compaction.** `compactRegion` refuses to start if the current turn holds an unmatched `compact/start`. (The loop is single-threaded across either awaited automatic seam, so this is also a re-entry tripwire — a thrown "already in progress" signals a real bug.)
The lock excludes another compaction, not unrelated log-only facts. The basic backend snapshots the token meter's surface nodes after `compact/start` and compares them again after asynchronous summarization; any surface mutation rejects before replacement, while a title or other log-only append leaves the selected span valid.
Two failure paths, both documented:
- **Crash** (the loop dies mid-summarization): a dangling `compact/start`, no closer. Because `compact/*` are **log-only**, the orphan is **inert** — no summary replacement lands. The derived surface remains the durable surface present at `compact/start`: full history when pruning made no replacement, or the already-pruned history when it did. Generic turn-repair (`interruptedTurnClosers`) closes the turn with a synthetic `turn/end`; the orphan sits *before* that `turn/end`, so the turn-scoped in-progress check never sees it and a crash cannot wedge future compaction.
- **Recoverable** (summarization throws but the loop survives): the backend appends `compact/end` with its **`error`** field set and lands no summary replacement. Post-step pressure warns and continues from the latest durable surface — full history if no replacement preceded the attempt, or the pruned surface if pruning already landed. Overflow recovery delegates only before any replacement; generation progress from earlier pruning authorizes a retry from that durable surface unless cancellation or disposal wins.
`compact/end` keeps its `error?` field (mirroring `tool/result`'s self-contained error — one event tells success from failure without correlating a sibling). There is no separate `compact/error` event.
**Core session repair stays compaction-agnostic — deliberately.** `interruptedTurnClosers` is never taught about `compact/*`. Teaching it would force every future `xxx/start … xxx/end` plugin pair to patch a core module — exactly the coupling the capability-seam architecture exists to avoid. Because the log-only orphan is inert, no special repair is needed: generic turn-repair plus the inertness of an un-landed surface mutation is sufficient.
## Alternatives considered
- **The full algorithm as concrete interface methods** — rejected because it recouples the contract to one retention strategy. Both core methods are abstract; reusable measurement is a separate LLM-family service and `summarize()` is basic's sole hook.
- **Compaction on `agent/request` or provisional `agent/pre-step` inputs** — rejected because neither proves the final durable request and both couple generic lifecycle to compaction-specific envelope data. Post-step replay plus canonical overflow recovery covers both successful and rejected calls.
- **A `compact` boolean or untyped request metadata map** — rejected because multiple auxiliary call kinds would become mutually exclusive flags, while an open bag would discard compiler-checked vocabulary. One typed `purpose` discriminant extends with additional call kinds without adding another `GenerateOptions` field.
- **A separate `compact/error` event** — rejected: `compact/end` keeps an `error?` field, mirroring `tool/result`'s self-contained error — one event tells success from failure without correlating a sibling.
- **Teaching core turn-repair about `compact/*`** — rejected: the log-only orphan is inert, and a core module patched for every future `xxx/start … xxx/end` plugin pair is exactly the coupling the capability-seam architecture exists to avoid.
## Consequences
- **Packages**: `packages/compact/compact` supplies the interface, `compact-basic` supplies the backend, and `compact-tool-result-prune` supplies optional deterministic rewriting. `packages/llm/token-meter` owns replay-aware measurement independently. The consumer tier is deferred.
- **Automatic seams**: `agent/post-step` (`@mode serial`) handles successful-call pressure and `agent/request-error` (`@mode waterfall`) handles final request failures after the failed step closes. Generic `agent/pre-step` remains a four-argument checkpoint with no compaction-only prompt/prefix payload.
- **`SessionEventMap`** gains `compact/start` / `compact/summary` / `compact/end` by declaration merging (merge-extensible); `SurfaceEventType` is **not** touched. These are session events, not cordis `Events`, so the event-taxonomy gate needs no entry.
- **`dsh-compact`** owns `COMPACT_CHECKPOINT_SOURCE`, `isCompactCheckpointSource(source)`, `toolPairingBalancedBefore(session, seq)`, and `toolPairingBalancedAfter(session, seq)`. The marker identifies replacement summaries across backend implementations. The cached surface-edge checks prevent `compactRegion` and `compactIfNeeded` from splitting a tool-call/result pair, validate current membership by seq, answer both edges from one per-cut balance sequence, and reject stale or missing seqs and orphan results.
- **`dsh-session`** validates positional replacement, complete provenance, and content-only single-node `tool/result` rewrites through its one surface manager. Its invariant companion treats fresh appended tool results as executions that require an open step and pending call; validated replacements remain turn-enclosed rewrites.
- **Wiring**: `examples/tui-agent/cordis.yml` loads zero-config `dsh-token-meter`, `dsh-compact-tool-result-prune`, then `dsh-compact-basic`; service-wide defaults make the composition usable without repeated numeric policy.
## Testing
- **Unit:** Real Loader and invariant plugins cover whole-unit retention, pruning configuration and replay, rich-block ordering, metadata preservation, convergence, both `compact/end` outcomes, open-tail refusal, pruning-only and summarized overflow recovery, generation proof, caps, and original-error preservation.
- **Loop:** Tests pin post-step after durable tool results and before `step/end`, actual `agent/request` routing, closed failed steps, fresh retry numbering, and complete thrown/in-band overflow → compaction → reconstructed retry composition.
- **With-key e2e:** A real model and bash session with lowered limits triggers compaction, records a complete `compact/start…end` pair, shrinks the surface, and finishes the task.
- **Snapshot gap:** Runaway-turn compaction cannot yet replay because the summarization call records no `assistant/chunk` events or `sessionId`; interleaved summarization-call replay remains follow-up work.

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# Agent Note: Subagent capability seam
Status: implemented
> The full seam is shipped: the `dsh-subagent` interface and `dsh-tool-subagent` consumer; the two in-process backends (`dsh-subagent-spawn`, `dsh-subagent-fork`); the nested-agent snapshot infrastructure ([per-session snapshot replay](../testing/2026-06-22-subagent-snapshot-replay.md)); and the out-of-process `dsh-subagent-acp` backend ([its Agent Note](2026-06-22-acp-subagent-backend.md)).
## Problem
The harness has a long-deferred seam for **subagents** — an agent delegating work to another agent. The intent was sketched in the `Agent`/`AgentLoop` interfaces ([packages/core/agent/src/types.ts](../../../../packages/core/agent/src/types.ts), [packages/core/agent-loop/src/index.ts](../../../../packages/core/agent-loop/src/index.ts)): a creation option referencing a parent agent (fork = seed the child session with the parent's event log; spawn = fresh session), with the child returned as an `Agent` handle so steering and event subscription work uniformly. This Agent Note realizes that seam; the banner above lists what shipped.
The distinctive requirement — the one that shapes the whole design — is that **multiple subagent implementations must coexist at runtime**. A parent may want a cheap in-process child for a scoped subtask AND an isolated out-of-process child (over ACP) in the same session. The transports we foresee:
- **in-process** — a child concrete `Agent` on the same `Context` (the cheapest, and nearly free given the existing agent factory);
- **ACP** — act as an ACP *client* driving another agent process (which can be another instance of ourselves);
- later: **A2A**, the **Codex app-server**, and the **Claude Code Agent SDK** — each the same out-of-process "start a child, prompt it, stream updates, cancel" shape as the ACP backend.
## Alternatives considered
### Why not the bash seam shape
The bash seam ([capability seams](../architecture/2026-06-13-capability-seams.md)) registers exactly one `BashExecutor` per context; loading a second throws. That is correct for bash (one machine, one way to run a command) but wrong here: coexistence is the requirement. So the subagent service is a **named-provider registry** — each implementation registers under a unique name and a caller picks one by name — mirroring the **LLM adapter registry** (`LlmService.registerAdapter`), not the single-service bash executor. The seam is still three-package (interface / implementation / consumer); only the "one vs. many implementations" axis differs.
## Decision
### The three-package seam
A new package group `packages/subagent/`:
| Package | Role |
|---|---|
| `@deepseek-ai/dsh-subagent` | interface: `SubagentService` (`ctx.subagents`), `SubagentProvider`, `SubagentRun`, the request/result/capability vocabulary, the `subagent/*` events |
| `@deepseek-ai/dsh-subagent-spawn` | implementation: a fresh in-process child via `ctx.agents.create` |
| `@deepseek-ai/dsh-subagent-fork` | implementation: an in-process child seeded with a snapshot of the parent's log |
| `@deepseek-ai/dsh-subagent-acp` | implementation: an ACP client driving a configured child process |
| `@deepseek-ai/dsh-tool-subagent` | consumer: the model-facing `subagent` tool over `ctx.subagents` |
### The primitive: async `start → SubagentRun`
A provider exposes `start(request) → Promise<SubagentRun>`. Fulfillment publishes a ready child and transfers its run handle to the caller. One signal covers cancellation before and after readiness; `dispose()` cancels remaining work and awaits quiescence. A rejected start cleans partial resources and emits no lifecycle event. `start` is transport-neutral; `spawn` names only the fresh in-process backend.
### Two kinds of optional capability, discovered two ways
- **Start-time features** (`outputSchema`, `depthLimit`, `toolFilter`, `persona`) ride on a static `provider.capabilities` descriptor. The service checks every requested one BEFORE delegating and **rejects loud** (`SubagentError('UNSUPPORTED_CAPABILITY')`) if the provider lacks it — never accepted-then-ignored. They must be checked before a run exists, which is why they cannot be runtime methods.
- **Runtime features** (steering via `sendMessage`, follow-up via `resume`) are **optional methods** on `SubagentRun`. The method's presence IS the capability, and TypeScript narrowing is the discovery mechanism: a consumer cannot call an absent method without narrowing first, so there is no silent-degradation path and no separate flags object to keep in sync.
### Fork vs. fresh are separate backends, not a flag
Fresh and forked children are separate providers, not a request flag. `dsh-subagent-spawn` starts an isolated child; `dsh-subagent-fork` seeds a balanced prefix containing only completed parent turns. The in-flight turn is excluded because its subagent call has no result yet and cannot form valid replay history.
### Child isolation and the parent log
Each subagent runs in its **own `Session`** (own id, `parentSession` lineage), persisted independently. The parent's log records only the spawn `tool/call` and its `tool/result` (the child's final output) — the child's internal steps and tool calls stay in the child's own session, never injected into the parent log. This is the only design that is identical across transports: an ACP child's internal events physically cannot be injected into our parent log, so making in-process behave the same keeps the seam transport-agnostic.
### Synchronous collect (first cut)
`dsh-tool-subagent` passes its execution signal to `start()`, awaits the child result, and disposes the run in `finally`. Non-completed outcomes become error results rather than successful partial output. This foreground consumer does not use the run's optional steering method.
### Provider selection is config, not model-facing
`dsh-tool-subagent` binds to exactly one provider name (`Config.provider`); the model sees only `{ description, prompt }`. To expose more than one transport, load the tool plugin more than once, each bound to a different provider and a distinct `toolName` (the tool registry rejects a duplicate name). The *service* holds the multi-provider registry; the *tool* picks one — no provider/type parameter in the schema this cut.
## Testing
Registry and tool tests replace only the nondeterministic child boundary with a package-local scripted provider while exercising the real `SubagentService`, lifecycle, task integration, and model-facing tool. Provider and consumer export shapes retain their Loader regression coverage for the failure described in [postmortem 0001](../../../../docs/postmortem/0001-acp-default-export-drops-inject.md). Registry tests cover reload safety, duplicate names, and start-time capability rejection; nested-agent scenarios replay keylessly through [per-session snapshot replay](../testing/2026-06-22-subagent-snapshot-replay.md); in-process backends also have real-loop unit tests and a with-key e2e.
## Consequences
- **Recursion.** Without a bound, an in-process child can see the delegation tool and recurse. The in-process backends implement the optional absolute depth limit and scoped live-global `toolFilter`; ACP advertises both capabilities off and rejects such a request. The [subagent composition-controls Agent Note](2026-07-12-subagent-persona-tool-filter-and-depth.md) owns their exact semantics and security limits.
- **Blocking the parent turn.** Foreground collection holds the parent's step open for the child's full duration. Background delegation uses the shared `ctx.tasks` runtime and generic `task_*` tools, the same collection mechanism as background bash; the subagent seam itself remains task-agnostic.
- **Live progress.** This cut surfaces only lifecycle + final result; a per-chunk child→parent update stream is deferred with the background redesign.
- **ACP client surface.** Proxying `fs`/`terminal` from the ACP child back to the parent (a shared-workspace mode) is future work; the first cut advertises neither, so the child self-serves in its own process.

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# Agent Note: ACP subagent backend (out-of-process delegation)
Status: implemented
## Problem
The subagent seam ([the seam Agent Note](2026-06-21-subagent-capability-seam.md)) was built so multiple backends coexist by name on `ctx.subagents`. The in-process backends (`-spawn`/`-fork`) run a child as a second `Agent` on the SAME cordis context — cheap, but the child shares the parent's process, model client, and tools. The seam's whole point was to also support an OUT-OF-PROCESS child reached over a protocol, proving the abstraction generalizes across a process boundary. This Agent Note adds the first such backend: an Agent Client Protocol (ACP) client.
## Decision
`@deepseek-ai/dsh-subagent-acp` registers a `SubagentProvider` that runs each child agent in a SPAWNED SUBPROCESS, driven over ACP as the *client*. It is the direction-inverted twin of the existing server-side bridge `@deepseek-ai/dsh-acp` (the ACP *agent*): the bridge ANSWERS `initialize`/`newSession`/`prompt`; this backend CALLS them and IMPLEMENTS the `Client` callbacks (`sessionUpdate`, `requestPermission`). Pointing the configured spawn command at the `acp-agent` example makes the harness talk to its own process.
### Fresh process per run
Each `start` spawns a new child, runs exactly one ACP session (`initialize` → `newSession` → `prompt`), and `dispose` kills the subprocess and awaits its exit. This is the simplest lifecycle and mirrors the in-process one-child-per-run shape.
### Minimal client stub
The client advertises NO optional capabilities (no `fs`, no `terminal`): the child self-serves file/terminal access in its own process. `session/update` notifications are consumed — the backend accumulates `agent_message_chunk` text as the result output and ignores the rest (thoughts, tool-call cards) in this cut, which surfaces only the child's final answer. `session/request_permission` is auto-answered by a configured policy (`reject` declines every prompt, `allow` approves via the first allow-shaped option) — the first cut surfaces no prompt to a human. Proxying `fs`/`terminal` back to the parent (a shared-workspace mode) remains future work, as the seam Agent Note noted.
### No start-time capabilities
The provider's `capabilities` are all `false`. An out-of-process child cannot honor the parent's `maxDepth` (it has no access to `parent.options.subagentDepth`) or `toolFilter` (it owns its own tool registry), and the first cut does not implement `outputSchema`. The service rejects a request needing any of them before `start` runs. The backend injects only `subagents` (not `ctx.agents`); the ONE thing it reads off `request.parent` is the session header's cwd (see the workspace resolution below) — no conversation context, depth, or tool state crosses the process boundary.
### Workspace cwd resolution
The child's working directory is an explicit resolution, never the harness process cwd: the deployment `cwd` override when configured (made absolute against the launch directory and validated at load), else the parent session header's cwd (validated at start), and a loud rejection before anything spawns when neither exists. One ACP server process serves sessions from many workspaces, so `process.cwd()` cannot stand in for a session's workspace — the old implicit fallback ran children in the server's launch directory. A candidate must be an absolute path naming a directory the harness can ENTER (`X_OK` — `statSync().isDirectory()` alone accepts a mode-600 directory that spawn would fail with EACCES), and the same resolved path becomes both the subprocess cwd and the ACP `session/new` workspace.
### StopReason mapping
ACP `StopReason` → harness `SubagentStopReason`: `end_turn`→`completed`, `max_tokens`→`max-tokens`, `refusal`→`refusal`, `cancelled`→`aborted`, `max_turn_requests`→`error` (no clean equivalent — the task did not finish), unknown→`error`. A spawn/transport/RPC failure resolves `error` (or `aborted` if a cancel was requested); `result` never rejects on a child-level failure, per the seam contract.
### Security: scrubbed child environment
The child is a separate process, so it inherits an environment. Credential-shaped ambient vars (`/KEY|SECRET|TOKEN/i`) are NOT forwarded by default — the parent harness's own secrets must not leak into a spawned process implicitly (the same policy the bash executor applies). The child's OWN credentials (it needs a model key) are supplied EXPLICITLY via `config.env`, layered AFTER the scrub, so an intended `DEEPSEEK_API_KEY` survives while an incidental `AWS_SECRET_ACCESS_KEY` does not. Child stderr is inherited to the parent's stderr (diagnostics surface naturally); a spawn-level `error` event (e.g. ENOENT for a bad command) is captured and raced against the ACP drive, so a bad command settles `error` instead of crashing the parent with an unhandled error.
## Testing
- **Keyless unit/integration:** A scripted ACP subprocess exercises real stdio for prompt/output flow, every stop-reason mapping, signal and disposal cancellation (including pre-abort, pre-session race, and torn-pipe cases), both permission policies, ignored non-message updates, missing-command cleanup, provider reload, and namespace exports.
- **Keyless Loader composition:** A test-only cordis.yml boots the stdio app through the real Loader with the backend's `cwd` omitted; a scripted model delegates once and the scripted child proves it ran in — and was announced — the parent session's workspace (the cwd-inheritance branch end to end).
- **With-key e2e:** The backend spawns the real ACP example; its model answers `PONG`, writes `proof.txt`, and the parent verifies the file.
- **Snapshot gap:** Each ACP child is a separate process with its own replay session, unlike in-process per-session replay. Deterministic mock-server coverage exists, while `TODO(acp-subagent-replay)` tracks parent replay against a replaying child.
## Alternatives considered
### Why stay on SDK 0.25.1?
The backend needs only `ClientSideConnection`, `ndJsonStream`, `PROTOCOL_VERSION`, and the client protocol types, all supported in 0.25.1. The 0.28 fluent API would require migrating both client and server connection classes across the ACP layer without improving this backend, so that upgrade remains a separate change.
### Why not a persistent child process?
Persistent-process pooling (reuse a warm child across runs) is a performance optimization deferred to future work — it adds session-lifecycle and crash-recovery complexity the first cut does not need; each `start` spawning a fresh child mirrors the in-process one-child-per-run shape.
## Consequences
Every run pays a fresh subprocess (spawn + `initialize` + `newSession`). The parent surfaces only the child's final answer: `session/update` thoughts and tool-call cards are consumed and dropped, and permission prompts never reach a human — the configured policy answers them. The child's environment is credential-scrubbed by default, so its own model key is supplied explicitly via `config.env`.
## Future providers
The same out-of-process spawn/prompt/stream/cancel shape generalizes to other transports named in the seam Agent Note — A2A, the Codex app-server, and the Claude Code Agent SDK — each a sibling provider registered by name. The ACP backend is the proof that the seam supports the boundary; those are mechanically similar.

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# Agent Note: Workspace context instruction files
Status: implemented
## Problem
Repository guidance such as `AGENTS.md` belongs in a coding session's effective context so project conventions, build commands, and review rules arrive without repeated user pasting. The stdio and ACP products need the same behavior, isolated by session cwd: a global system-prompt section leaks one workspace's files into another live ACP session.
Neighboring products establish useful conventions but differ in details. Codex treats `AGENTS.md` as native, Claude Code uses `CLAUDE.md` and familiar system-reminder-style user context, and opencode supports both names with one winner per directory plus lazy nested discovery. The harness needs cross-tool compatibility without loading duplicate or contradictory files from the same scope.
The lifecycle has two distinct classes of content. The initial applicable chain is stable enough to live in the request prefix and benefit from provider prefix caching. Nested files, edits, candidate switches, and removals happen after the session starts and belong in durable append-only history rather than the frozen prefix.
## Decision
The implementation lives in `packages/context/workspace-context` as `@deepseek-ai/dsh-workspace-context`. It is a request-context extension, not a core service or a filesystem backend. `@deepseek-ai/dsh-agent-core` mounts it for both product front doors and forwards its config. The plugin consumes `agent/session-prefix`, `tools/post-execute`, and the optional `ctx.fs` capability.
The plugin does not statically inject `fs`. Providerless product trees therefore boot normally and the plugin no-ops until a filesystem provider exists. All production reads go through that provider. Candidate probes resolve each path and stat the result, so a final-component symlink is followed to its target: a link to a regular file loads, while a missing path or a non-file target is a confirmed absence. Following repository-owned links across the trust boundary is a deliberate reversal of the original no-follow probe; the [instruction-symlink follow note](2026-07-21-follow-instruction-symlinks.md) owns that decision and its residual risk. The session-prefix signal and dynamic tool execution signal propagate through resolution, metadata probes, and streaming reads, so cancellation does not wait for an unrelated filesystem scan. A resolve or stat exception is classified as unavailable: it skips only that candidate and is never interpreted as the deletion of an already-loaded scope.
### File Names And Precedence
The default per-directory candidate list is `['AGENTS.md', 'CLAUDE.md']`. The list is configurable as `instructionFileCandidates`, and `AGENTS.md` is an ordinary first candidate rather than a hidden priority. In one directory, only the first existing regular-file candidate loads. With defaults, `AGENTS.md` is native and `CLAUDE.md` is a compatibility fallback. A second list, `localInstructionFileCandidates` (default `['AGENTS.local.md', 'CLAUDE.local.md']`), loads an additive local overlay after the base file in the same directory; the [default local overlay](2026-07-21-local-instruction-overlay.md) owns that decision.
Candidate entries are same-directory file names. Empty entries, `.`/`..`, and entries containing `/` or `\` are ignored. Other same-directory names can be opted into explicitly; rule directories and import semantics are outside this contract.
The user-global file is fixed at `$DSH_HOME/AGENTS.md`, is not affected by either candidate list, and has no local overlay. `$DSH_HOME` defaults to `~/.dsh`, matching the harness-level home role of `~/.codex` or `~/.claude` rather than introducing a plugin-specific home. Tilde expansion and the default live in `dsh-paths` so future harness features share the same convention.
### Baseline Prefix
On the first request of an agent-loop instance, the plugin contributes one user-role message through `agent/session-prefix`. It loads the user-global file first, then finds the project root by walking upward from `agent.session.header.cwd` to a configured root marker (default `.git`), then loads one candidate from each directory from the root to the cwd. A `.git` file and a `.git` directory are both valid markers, covering linked worktrees and submodules. Without a marker, the cwd itself is the root.
The plugin prepends its contribution before `await next()` returns, so session-prefix contributions appear in plugin registration order. In the product spine workspace instructions are registered before a skills catalog and therefore appear first. The loop deep-freezes the composed prefix, logs it in `EpochHeader.messagePrefix`, and reuses it verbatim for that instance. It is request state, not `Session.deriveMessages()` history.
A resumed agent creates a new loop instance and recomposes the baseline from current files, with the new prefix anchored by the resume request header. This permits current baseline content on resume without mutating a prefix already used by an earlier instance.
The baseline is a user-role `<system-reminder>` with `Instructions from: <path>` sections and explicit authority and precedence language. This familiar model-facing frame avoids a harness-specific XML vocabulary. Project paths are root-relative and the user-global path is `~/.dsh/AGENTS.md` for the default home or `$DSH_HOME/AGENTS.md` for a configured home. A literal `</system-reminder>` inside file content is escaped. The package README owns the exact current [prompt shape](../../../../packages/context/workspace-context/README.md#prompt-shape).
### Dynamic Discovery And Refresh
After a successful first-party `read`, `write`, or `edit` call, the `tools/post-execute` listener reconciles the touched descendant chain and every scope already known to the session. A newly reached scope is returned through `additionalContexts` for the next request using an `Additional instructions from: <path>` system-reminder. Under Code Mode, `run_code` defers sub-dispatch contexts onto its outer result, so the same update is appended only after the parent result rather than being injected mid-call.
A content edit appends `Updated instructions from: <path>`, states that the new content replaces the previous content, and includes the complete current file. If precedence changes from one candidate to another, the message also names the previous path and says it no longer applies. If no candidate remains, the plugin appends `Instructions removed: <path>` and states that the previously loaded instructions no longer apply.
Dynamic messages carry their complete system-reminder framing in `content`, and every `context/message` reaches the model verbatim as a user-role message (there is no core wrapper to opt out of). `context/message.meta` carries opaque JSON state that is persisted but never rendered to the model.
Shell commands are not discovery triggers. Local bash calls start fresh shells, and inferring reached paths from arbitrary command strings would require shell semantics the prompt plugin does not own.
### Duplicate Suppression And Change Detection
Every dynamic workspace context event stores versioned metadata with `{ action, scope, path, digest? }`, where `digest` is SHA-1 over the loaded content. The model-facing prompt has no HTML comments, hidden markers, or headings that are parsed back into state.
At reconciliation time the plugin scans plugin-owned `context/message` events and derives the latest state for each visible scope. A short per-session pending map begins only after the immutable top-level `tools/result` proves an `additionalContexts` entry survived every post-execute listener, then covers the interval before the loop appends that context to the log. Each entry records the open `{ turn, step }`: an equal durable `context/message` at or after its sequence boundary confirms and removes it, while a matching `step/end` arriving first means the loop discarded its context buffer, so the plugin removes both the pending entry and its version-cache fast path. A nested Code Mode result stages its changes under the parent's opaque execution token so repeated sub-dispatches in one run do not duplicate them; the parent result rolls that provisional state back and commits only contexts retained by outer policy.
An unchanged path and digest is suppressed. A logged removal is a tombstone, so a reappearing candidate becomes a new `set`. Resume works from persisted metadata. If compaction removes an instruction event from the visible surface, that state no longer suppresses a later load, matching the fact that the model can no longer see it. Only changes actually included under the byte budget enter metadata or pending state, so an omitted file remains eligible on a later touch.
The frozen baseline keeps an in-memory path/digest map for comparison. A later successful filesystem touch appends baseline edits or removals as dynamic messages; it never rewrites the prefix. During resumed prefix composition the plugin also reconciles visible dynamic scopes, so nested changes made while the agent was offline can append an update before the first resumed request.
There is intentionally no watcher. Detection occurs at the next successful structured filesystem touch or resumed prefix composition. A provider failure produces no removal; absence is only accepted when all configured candidates in that scope were probed successfully.
### Byte Budget And Bounded Reads
`maxBytes` is required and applies separately to a rendered baseline or one dynamic reconciliation batch; there is no implicit or unbounded render budget. Non-positive and non-finite values disable loading. When content exceeds the budget, broader files are omitted before the most-specific file is truncated. A visible `Workspace instruction budget ...` notice names omitted and truncated paths and byte counts, and output never exceeds the configured bytes.
`maxSourceBytes` is a positive per-file cap with a 1 MiB default. The loader checks reported size before reading and still consumes content through `streamText()` with a running UTF-8 byte count, so missing/stale metadata cannot force an unbounded allocation. An oversized winning candidate is unavailable rather than a reason to fall through to another same-directory name. The plugin deliberately keeps no process-wide cache and never retains instruction prose. It keeps only `{ path, version, digest }` per effective scope in a `WeakMap<Session, Map<scope, state>>`: a matching provider `FsVersion` plus matching effective prompt state skips the read, while a changed version triggers a bounded read and SHA-1 confirmation. SHA-1 remains the cross-provider content identity persisted in visible structured metadata; provider versions are only an in-memory invalidation fast path. Cache transitions for model-visible changes commit only when the corresponding context survives the complete tool-result policy chain, and are invalidated if that accepted context is later dropped with its aborted step before reaching the log.
## Alternatives considered
**Use a global `ctx.systemPrompt.section()`.** Rejected because one Cordis context can host sessions with different cwd values, while repository-owned text is lower-authority context rather than top-authority provider system content.
**Inject the baseline on every `agent/pre-step`.** Rejected because repeated history injection wastes tokens, complicates duplicate state, and prevents a structurally stable provider prefix. Prefix composition gives a frozen, logged, per-instance baseline while dynamic append-only messages handle changes.
**Load both `AGENTS.md` and `CLAUDE.md` in one directory.** Rejected because repositories in transition commonly duplicate guidance across both files. Ordered candidates make precedence explicit and configurable.
**Parse rendered headings or hidden comments to recover loaded state.** Rejected because instruction prose can contain the same text, causing silent false positives. Persisted JSON metadata provides an unambiguous state channel that is invisible to the model.
**Summarize files with a model.** Rejected because instruction files are already curated summaries; another model call is nondeterministic and can erase edge-case requirements. Deterministic full text with byte budgeting is simpler.
## Consequences
Workspace guidance is isolated per session and shared by both product front doors and every tool presentation mode. Initial instructions benefit from stable prefix caching, while nested and changed content remains durable and replayable. The generic session/agent context contract carries JSON metadata propagated through prompt-submit and post-tool `additionalContexts` arrays without flattening entries.
Repository text remains untrusted input. Lower-authority user-role framing, explicit precedence language, and delimiter escaping reduce risk but do not eliminate prompt injection. Following a candidate symlink to its target widens that surface to off-tree content, so the permission and sandbox layers that confine `ctx.fs` to trusted roots are the boundary that treats workspace files as data rather than authority (the [instruction-symlink follow note](2026-07-21-follow-instruction-symlinks.md) owns the residual risk).
The system is event-driven rather than watch-driven. Edits are not visible at the exact filesystem mutation instant unless that mutation goes through a structured tool; externally changed files are noticed on the next successful structured touch or resume. This keeps the design deterministic and provider-neutral.
## Deferred
Bash-derived path reporting, recursive startup scans, file watchers, lowercase defaults, `.claude/CLAUDE.md`, `.claude/rules/*.md`, import directives, ACP `additionalDirectories`, trust acknowledgements, and model-generated summaries are deferred. Project-directory `.local.` overlays now load by default (the [default local overlay](2026-07-21-local-instruction-overlay.md) owns that decision); a user-global overlay, directory rule systems, and imports still need their own precedence and trust designs.

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# Agent Note: Ask-user question capability
Status: implemented
## Problem
The agent sometimes cannot proceed safely from model inference alone: it needs the human to choose a path, confirm a risky/default action, or provide missing information. Before this change, the only way to get that answer was for the model to ask in assistant text and then stop, which broke the normal tool-call loop: the agent had no structured way to pause, no option metadata for UIs, no abort/error taxonomy, and no way for non-stdio front doors to present the question consistently.
This is a user-facing capability, but it also crosses package boundaries. A model-facing tool needs a provider-neutral request vocabulary; each UI surface needs to decide how to show and collect the answer; the agent loop should remain unchanged because a tool call already has the right async shape.
## Decision
Introduce `dsh-user-interaction` as the provider-neutral interface package for `ctx.userInteraction`, colocated with the model-facing consumer `dsh-tool-ask-user` under `packages/ui`. The grouping is intentional: asking a human is a UI-backed product affordance, not part of the providerless core spine. The seam still owns the stable request/answer/error vocabulary, while UI product surfaces provide the concrete provider that collects the answer. The tool registers `ask_user_question`, forwards `{ questions, agent, signal }`, and returns the provider-computed structured answers as the tool result.
The model-facing request vocabulary is deliberately aligned with the product-research schema: `ask_user_question({ questions: [{ id, question, header?, options?: [{ label, description? }], multi_select? }] })`. `id` is supplied per question and echoed in the result so a batch can be routed without relying on question text. `label` is both user-facing display text and the selected value returned to the model; there is no separate `value`, no `recommended`, no `allow_custom`, and no `desc` alias.
Providers return `{ answers: [{ id, selected, custom? }] }`. `selected` is always an array of selected option labels, so single-select and `multi_select` answers share one result shape. `custom` carries a free-text "Other" answer; optionless questions collect `custom` directly. When `custom` is present, it overrides any selected choices and `selected` is empty.
`UserInteractionError` extends `HarnessError`, so failures such as `NO_PROVIDER`, `ASK_ABORTED`, ACP cancellation, or missing session routing survive `ctx.tools.execute()` as machine-routable `{ name, code }` tool errors. This matches the structured-error taxonomy and lets the model or a wrapping plugin distinguish "user cancelled" from a generic thrown exception.
## UI mappings
`dsh-tui` renders each question as a keyboard overlay, shows option descriptions, supports single- and multi-select choices plus free-form custom answers, and rejects pending questions on abort, provider disposal, or terminal shutdown. Batched and simultaneous requests are queued so one overlay owns keyboard focus at a time.
`dsh-acp` provides the same seam for ACP sessions. It resolves the calling `Agent` through `ownedRecord`, requiring the forward session-map record at `agent.session.id` to own that exact agent object, and calls ACP `unstable_createElicitation` with a session-scoped form for each question. Single-select options become a `choice` string enum; `multi_select` options become a `choice` array enum; optionless questions use a required `custom` text field. If the client returns both `choice` and non-empty `custom`, the custom answer wins. ACP `decline`/`cancel`, a missing answer, a missing session, and a client without elicitation support all become structured `UserInteractionError`s.
The ACP mapping deliberately uses elicitation, not `session/request_permission`. `request_permission` is still reserved for the separate permission gate: it is a yes/no-or-policy authorization protocol around tool execution. `ask_user_question` is a general information-gathering tool with optional free-form answers, so ACP form elicitation is the closer protocol fit. The bridge's session routing is shared with the future permission gate, but the user intent is different.
## Alternatives considered
**Assistant text followed by a stopped turn.** The model could ask the user in plain assistant text and then stop. That loses the structured option metadata, gives UIs no provider-neutral way to render a choice, and forces the next human answer to arrive as a new user prompt rather than as the result of the operation that needed the answer.
**Core-owned ask-user packages.** The first implementation split the seam and the model-facing tool across `packages/core` and `packages/ui`, but both names describe one UI-backed human-interaction affordance. The seam remains provider-neutral, but it is not providerless core infrastructure like sessions, tools, or the agent registry. Keeping `dsh-user-interaction` and `dsh-tool-ask-user` together under `packages/ui` makes the package map match the product boundary: apps and bridges provide the human-answer provider, and the stdio app opts into the model-facing tool.
**ACP `session/request_permission`.** Permission requests are authorization around tool execution; `ask_user_question` is information gathering with optional free-form answers. Using permission for general questions would collapse two different product concepts and make the future permission gate harder to reason about.
**A loop-level pause primitive.** The agent loop already knows how to await a tool call and resume from a tool result. Adding a new loop special case would duplicate that async shape and make every loop implementation learn about a UI concern.
## Consequences
ACP elicitation is currently marked unstable in the SDK. The fallback is still structured: if a client does not implement it, the tool returns `ASK_FAILED` rather than hanging. A later ACP stabilization may rename or reshape the method; that migration should stay inside `dsh-acp` because the core `ctx.userInteraction` vocabulary is provider-neutral.
The feature gives the model a powerful pause primitive, so prompt guidance matters. The tool description tells the model to ask concise questions and use options when possible. Product policy can later wrap `tools/execute` to restrict when the tool is allowed, but the loop should not special-case it.
`dsh-user-interaction` and `dsh-tool-ask-user` both live in `packages/ui` because they form one product-facing human-interaction capability. `agent-core` does not load either the tool or a provider. `dsh-tui-demo` opts into the seam, TUI provider, and model-facing tool. `acp-agent` keeps only the `userInteraction` seam/provider by default: ACP elicitation support is still client-dependent, so an ACP leaf must opt into the model-facing tool deliberately once its client can complete elicitation requests.
## Testing
Unit coverage pins provider registration/disposal, duplicate-provider rejection, abort-before-provider, empty-question rejection, structured tool errors through `ctx.tools.execute()`, batched answers, multi-select answers, custom answers, and the model schema including the removal of `value`, `recommended`, `allow_custom`, and `desc`. TUI tests cover option descriptions, queued requests, shutdown/abort cleanup, optionless free-form input, invalid choices, duplicate multi-select selections, and batched question flows. ACP bridge tests drive a real in-memory ACP connection with the real `ask_user_question` tool and verify selected-option, custom-overrides-choice, multi-select, and optionless free-form elicitation paths continue the agent loop.

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# Agent Note: The `todo_write` tool — model task list as event-sourced session state
Status: implemented
## Problem
The harness gives the model bash and subagent tools but no way to record a structured task list. A todo list serves two co-equal purposes: it steers the model to plan multi-step work and keep the active task unambiguous (at most one active, exactly one while work remains), and it gives the human a live progress checklist. The ACP protocol has a native `plan` sessionUpdate that editors (Zed) already render, but the bridge never emitted one. Every reference coding agent surveyed (claude-code, opencode, codex, oh-my-pi, pi) ships some form of this; the harness had nothing.
## Decision
Add a model-facing `todo_write(todos: [{ content, status }])` tool whose whole-list state lives on the event-sourced session log as a new `todo/write` `SessionEventMap` variant. Both the stdio UI and the ACP bridge render off the existing `session/event` — the ACP bridge maps the list to a `plan` sessionUpdate.
### Whole-list replace, three-state status
The model sends the ENTIRE list every call; the new list replaces the old (last-write-wins on replay). This is the shape claude-code V1, opencode, and codex `update_plan` all use, and the shape the model is most trained on — no per-item ids, no delta protocol. `status` is exactly `pending | in_progress | completed`: the same triple as codex `update_plan` and, crucially, **identical to the ACP `PlanEntryStatus`**, so the bridge maps it 1:1 with no lossy translation.
### State on the session log, not a service
The list is appended as a `todo/write` event carrying the full `{ todos }` snapshot. The harness is event-sourced — the LLM history, tool calls, and turn structure all live on the log — so the todo list lives there too. This buys durability, replay, and `session/load` reconstruction for free: a reopened session re-derives the current list (the last `todo/write`) and the ACP bridge re-emits the `plan` on load, with no separate persistence backend, no in-memory service to rehydrate, and no extra wiring. An in-memory `ctx.todos` service would have had to reinvent all of that.
### NOT a surface event
`todo/write` is deliberately excluded from `SurfaceEventType`. The surface is the projection that produces the LLM message history (`deriveMessages()`); a todo write produces no conversation message. So it carries no `surfaceOp`, never joins the ordered surface, and never reaches `deriveMessages()` — it is durable, replayable *UI* state that travels alongside the conversation without being part of it. (The dev-mode invariants still require it to sit inside an open turn, which it always does: it is appended mid-step during a tool call.)
### Priority synthesized only at the ACP boundary
ACP's `PlanEntry` requires `content` + `priority` + `status`, but a `TodoItem` has no priority — the model never reasons about it. Rather than burden the schema with a field the model must always supply, the bridge synthesizes a constant `priority: 'medium'` on every entry when it builds the `plan`. Priority is an ACP wire requirement, not a harness concept, so it lives at exactly the boundary that needs it.
### Dropped vs claude-code V1: `activeForm`, id, priority
claude-code V1's item is `{ content, status, activeForm }`; later (V2) it grew ids, dependencies, and ownership — but only to support agent *swarms* (disk-backed, lock-guarded, per-item mutation). This tool keeps the item at the minimum: `{ content, status }`. No `activeForm` (the present-continuous label) — the UI shows `content`; no id — whole-list replace needs no stable identity; no priority — see above. Each dropped field is one less thing the model must produce on every call.
### Single owner — no swarm machinery (YAGNI)
Each list belongs to the calling agent session, and non-agent calls are rejected. There is no shared scope, resolver, or delta protocol. Cross-agent lists would require per-item log deltas and explicit scope selection, so they remain a separate future design.
### Validation: the cheap middle
The schema enforces type/required/enum. Beyond that, `execute` rejects empty or duplicate `content` and more than one `in_progress` task. claude-code leaves single-in-progress to the prompt; oh-my-pi enforces it in code. We take the middle: enforce the cheap invariants that make a plan *coherent* (no blank tasks, no dupes, at most one active), but leave ordering and the discipline of keeping the list current to the model via the tool description. A rejected write returns an `isError` result so the model self-corrects.
## Why no cordis-catalog entry / no `@mode`
`todo/write` is a member of `SessionEventMap`, not a first-class cordis `interface Events` event. The catalog generator (`scripts/gen-cordis-catalog.ts`) scans `interface Events` declarations; a `SessionEventMap` variant rides the existing `session/event` emit and produces no new catalog row. So it carries no `@mode` tag (which the generator requires only on `interface Events` members) — adding one would be meaningless.
## Testing
Four tiers, designed up front:
- **Unit** — the session event (append/snapshot-clone/last-write-wins/not-on-surface); the tool (schema shape, arg validation via the real `ctx.tools.execute`, value validation, the event append + replacement, no-agent rejection, `presentCall`, HMR-safety); the ACP `todosToPlan` mapping; the stdio render arm.
- **Real-Loader path** — the plugin run through `Loader.unwrapExports`, asserting the namespace export shape survives (it HAS `inject`, so a stray default would crash at load — postmortem/0001).
- **Full-loop integration** — a scripted mock model calls `todo_write` through the real agent loop; the `todo/write` event lands and a second call replaces it.
- **`session/load` replay** — a persisted `todo/write` re-emits the `plan` update when a fresh ACP bridge loads the session.
- **With-key e2e + snapshot** — a real prompt induces a `todo_write`; the snapshot expected output gains the `plan` notification and the log event.
## Alternatives considered
- **In-memory `ctx.todos` service** — would reinvent durability, replay, and `session/load` reconstruction the log gives for free.
- **Per-item delta protocol** — only needed for a shared multi-owner list, which is out of scope; whole-list replace is simpler and matches the references.
- **Tool in `core/`** — `todo_write` is an extension tool registering on `ctx.tools`, not part of the spine; it lives in its own `packages/todo/` group like other tool families.
## Consequences
The todo list is durable, replayable session state: a persisted `todo/write` re-emits the editor's `plan` update on `session/load`, and the log — not plugin memory — is the single source of truth. Whole-list replace means one tool call per update with last-write-wins; there is no delta protocol to reconcile. The event stays off the surface, so a todo update never perturbs the derived model history — the model sees only its own tool call and result.

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# Agent Note: dsh-hooks-claude + dsh-hooks-codex — the Claude Code / Codex hook bridges
Status: implemented
## Problem
The harness's extension surface is its typed interception seams ([the interception-seams Agent Note](2026-06-30-interception-seams.md)): a "native hook" is just an ordinary cordis plugin subscribing to `agent/session-start`, `agent/prompt-submit`, `tools/pre-execute`, `tools/post-execute`, `agent/turn-continuation`, `subagent/start`, `subagent/end`. But users arrive with **existing** Claude Code (CC) and Codex hook configs — a `hooks.json` (or a settings file's `hooks` key) full of shell-command hooks — and want those to run unmodified. This Agent Note introduces the two **bridge plugins** that translate that external shell-hook protocol onto the typed seams, built on the shared wire-protocol library ([the hook-protocol-lib Agent Note](2026-06-30-hook-protocol-lib.md)).
The framing that shapes the whole design: **a bridge is a compatibility adapter, not a power tool.** Anything a bridge does (block a tool, inject context, force continuation, observe a subagent) a native cordis plugin does more powerfully — typed returns, full `ctx`, no serialization boundary. The bridge's reason to exist is to run the explicitly supported subset of external CC/Codex command hooks. That keeps each bridge thin: parse the config, pick a matcher mode, build the per-event payload, call `runHook` + `mergeHookOutputs` from the shared lib, and map the neutral outcome onto a seam Decision. The package READMEs own the exact current unsupported-event and partial-field inventory against the official protocols.
## Decision
Two independent plugins in the `packages/hooks/` group, each a function/namespace plugin (`name`/`inject`/`Config`/`apply`, NO default export — see [postmortem 0001](../../../../docs/postmortem/0001-acp-default-export-drops-inject.md)) injecting only `bash`:
- **`dsh-hooks-claude`** — the CC dialect. Seven of Claude Code's current hook points: `SessionStart`, `UserPromptSubmit`, `PreToolUse`, `PostToolUse`, `Stop`, `SubagentStart`, and `SubagentStop`. Owns CC-shaped per-event stdin payloads (a base of `session_id`/`transcript_path`/`cwd`/`hook_event_name` plus per-event fields), `CLAUDE_PROJECT_DIR` plus `${CLAUDE_PLUGIN_ROOT}`/`${CLAUDE_PROJECT_DIR}` substitution, and the literal-or-regex matcher mode. `transcript_path` is the persistence locator result or `''`; stdin carries a **trailing newline**.
- **`dsh-hooks-codex`** — five of Codex's current hook points: `PreToolUse`, `PostToolUse`, `SessionStart`, `UserPromptSubmit`, and `Stop`. It uses an always-regex matcher, Codex-shaped snake_case payloads with `turn_id`/`model`/`permission_mode` extras written WITHOUT a trailing newline, no Codex plugin-env injection or config-time placeholder substitution, and no pre-tool approval or rewrite path. `transcript_path` is the same locator result or `null`; tool payloads carry the real `tool_name` in the reduced `tool_input: { command }` shape.
### Outcome → Decision mapping
Each bridge maps the neutral `MergedHookOutcome` from the shared lib onto the seam's typed Decision:
| Seam | CC | Codex |
|---|---|---|
| `agent/session-start` (emit) | additionalContext → `agent.inject()` | plain-stdout output → additionalContext → `agent.inject()` |
| `agent/prompt-submit` | `deny`→`block`; context-only→delegate+fold | `block`→`block`; context-only→delegate+fold |
| `tools/pre-execute` | `deny`→`deny`; `ask`→`ask` | `block`→`deny` (no allow/ask) |
| `tools/post-execute` | `deny`→`block`+feedback; context-only→delegate+fold | same |
| `agent/turn-continuation` | blocking Stop → `continue` (reason = next-step steering) | same |
| `subagent/start` (emit) | additionalContext → inject into a live in-process child; a remote child has no local injection target | unsupported by this bridge |
| `subagent/end` (emit) | observe-only | unsupported by this bridge |
The CC bridge's `ask` result is a real permission path, not a terminal bridge decision: `dsh-tools` resolves it through the optional [approval seam](2026-07-06-approval-seam.md). A composed ACP answerer prompts the owning editor session and `allowed-once` proceeds; without an ApprovalService or answerer, the call fails closed to `deny`.
### Context source is always the plugin (the mislabel guard)
`agent.inject()` defaults a missing `MessageSource` to `{ kind: 'user' }`, so every bridge `inject()` and `HookContext` passes `{ kind: 'plugin', plugin: 'hooks-claude' | 'hooks-codex' }`. Unit coverage pins the resulting `context/message.source` as the plugin rather than the user.
### Adding context is not a veto — delegate, then prepend
A hook that only attaches `additionalContext` (no block/deny) is NOT a decision the bridge should return on its own: returning `allow`/`accept` from a waterfall listener WITHOUT calling `next()` short-circuits every later `agent/prompt-submit` / `tools/post-execute` listener, so a policy/sandbox plugin registered after the bridge would never see the prompt. Each bridge therefore delegates via `next()` before adding its context to the downstream decision. Both seams carry ordered `additionalContexts` arrays, so the bridge prepends its separately sourced entry while preserving every downstream source, envelope, and metadata field; a downstream prompt block still drops all context because the prompt never reaches the model, while post-tool block semantics may explicitly retain contexts. Code Mode ferries the same array through the outer `run_code` result. Only a real `deny`/`block` from the hook itself short-circuits. Tests assert a later listener can still block a prompt a context-only hook allowed and that retained prompt and post-tool contexts remain separate.
### CLAUDE_PROJECT_DIR defaults to the session workspace
Claude Code always exports `CLAUDE_PROJECT_DIR`, and common unmodified hooks reference `$CLAUDE_PROJECT_DIR` for project-relative paths. An explicit `config.projectDir` wins; when it is omitted (the default ACP wiring configures only `configPath`), the bridge defaults the env var per-run to the agent's session workspace — the same `session.header.cwd` the hook already runs in — rather than leaving it empty. So a stock project-relative hook works in the default setup.
### Containment
The config is parsed ONCE at load; a read/parse failure logs and registers nothing rather than crashing boot (a typo'd path must not take the agent down). Only shell-form `type: 'command'` hooks run for CC; `http`, `mcp_tool`, `prompt`, and `agent` handlers are parsed-and-skipped. Codex runs only synchronous command handlers and skips `async: true` or non-command entries. The emit-listener paths (`session-start`, `subagent/start`) run detached, with their `inject` contained in a `.catch` that logs (a throwing inject must not break session boot or the loop).
### Where hooks run, and where their config comes from
Hooks run in the agent's session workspace, so relative paths target the user's project. `configPath` is resolved once against the process launch cwd and applies to every session. Per-session project-local discovery remains deferred under `TODO(per-session-hook-config)`.
## Deferred compatibility gaps
- **Tool-input rewrite.** A CC/Codex `updatedInput` is logged + warned, not honored — input rewrite is a deferred consistency-design problem ([the pre-tool-input-rewrite Agent Note](../../proposed/feature/2026-06-30-pre-tool-input-rewrite.md)), because the pre-execution args are read by `tool/call` audit + `assistant/message` history + ACP/tool-bash presentation, so an honest rewrite is a design unit, not a field.
- **Stop loop-guard** (`TODO(stop-loop-guard)`). Claude Code supplies `stop_hook_active` and overrides a hook after eight consecutive blocks; Codex supplies `stop_hook_active` but documents no equivalent cap. Both bridges always report `false`, so a Stop hook that unconditionally blocks force-continues every step — a hook author must self-limit until state tracking lands.
- **Hook `continue:false` (hard halt).** A hook can ask to halt the whole run (CC/Codex `continue:false`); the shared merge folds it into `MergedHookOutcome.stop`/`stopReason`, but no bridge acts on it (`TODO(hook-continue-false)`) — the interception seams have no "hard-halt the agent" primitive yet (a Decision blocks/steers a single point, not the run). Deferred with the loop-guard work; the halt request is recorded in the `hook/result` log, and the hook keeps its per-point effect (decision/context) meanwhile.
- **Config discovery.** The path is explicit in `cordis.yml` and process-level (see above); the full multi-layer CC/Codex precedence walk, per-session project-local discovery, and the trust/hash model are not reimplemented (`TODO(per-session-hook-config)`).
- **Session-start / subagent-start context is best-effort (`TODO(session-start-gating)`).** Both hooks run detached from startup, so their context is injected when ready but may miss the first request or a short-lived child. Guaranteeing first-request delivery requires an awaited startup seam.
## Alternatives considered
**Concurrent per-point hook execution.** The reference engines run a point's matched hooks concurrently and fold the results. These bridges run them **serially** (`await` per hook inside the match loop) and fold with the same most-restrictive merge. Serial is deliberate: it keeps each hook's `hook/invoked`/`hook/result` pair adjacent and in a deterministic order in the session log, and the fold is order-independent for the decision (`deny > ask > allow`) so the outcome matches. The cost is latency (hook *N* waits for hook *N−1*) and that per-hook timeouts are not overlapped — acceptable for the hook counts real configs use; revisit if a config ever fans out enough for the wall-clock to matter.
## Consequences
Matcher semantics, exit-code handling, and merge precedence live in `dsh-hook-protocol`; each bridge only parses config, builds dialect payloads, and maps outcomes. Per-file coverage includes config branches plus end-to-end mappings through a real loop, `dsh-bash-local`, and shell scripts, while a real-Loader smoke guards the package export shape. Native plugins bypass the wire protocol and return typed decisions directly.

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# Agent Note: dsh-hook-protocol — the shared Claude Code / Codex hook wire-protocol core
Status: implemented
## Problem
The hooks subsystem ships two bridge plugins: one that runs a user's existing Claude Code (CC) hooks, one for Codex hooks. Studying the reference implementations (`~/repos/refs/claude-code`, `~/repos/refs/codex`) surfaced a decisive fact: **Codex deliberately reimplements a SUBSET of the CC hook protocol.** Its engine reads the same `hooks.json`, uses the same matcher-group shape, the same exit-code/structured-stdout output contract, and the same command-hook execution model — Codex's source even names the engine after Claude's and comments where it "intentionally diverges." So the two bridges would otherwise duplicate the bulk of the protocol.
This Agent Note introduces `@deepseek-ai/dsh-hook-protocol`, a **library** (not a plugin — it registers and injects nothing) holding the genuinely-identical primitives both bridges build on. The split between shared and per-dialect is the design's center of gravity.
## Decision
A new `packages/hooks/` group with `hook-protocol` as a pure library. It owns four primitive families and the `hook/*` session events; each bridge plugin (`dsh-hooks-claude`, `dsh-hooks-codex`) owns what genuinely differs.
**Shared (here):**
- **Matcher** — `matchesMatcher(pattern, query, mode)`. The ONE axis the dialects differ on is collapsed to the `mode` parameter: `claude` treats a pure `[A-Za-z0-9_|]+` pattern as a literal (pipe = exact-match alternation) and anything else as a regex; `codex` is always an unanchored regex. Match-all on absent/`''`/`'*'`; an invalid regex matches nothing (never throws into the loop).
- **Execution** — `runHook(bash, hook, options)`. Runs a command hook through the `ctx.bash` seam rather than a bespoke `spawn`: the executor already provides the scrubbed-but-overridable env, process-group kills, and timeout the protocol needs, and `dsh-bash`'s `stdin`/`env` fields (added for exactly this) are the trusted-plugin surface an in-process bridge is allowed to use. It serializes the bridge-built payload to stdin (trailing newline iff CC), honors the hook's `timeoutSec` (else `DEFAULT_HOOK_TIMEOUT_MS`, the 10-minute reference default both dialects share), and never throws (an executor rejection becomes a non-blocking-error `HookOutput`).
- **Decode** — `parseHookOutput(exit, stdout, stderr)`, the exit-code + structured-stdout codec, producing a dialect-neutral `HookOutput`. Exit `0` → lenient JSON parse of stdout; exit `2` → blocking error with `stderr` as the reason (surfaced as `decision: 'block'` so no caller needs a separate exit-code branch); other → non-blocking error. Parses the CC structured-stdout fields that have a consumer on some path (`continue`/`stopReason`/`decision`/`hookSpecificOutput.{permissionDecision,additionalContext,updatedInput}`/`systemMessage`); the bridge honors only the subset meaningful for its dialect. Fields with no consumer on any path are not parsed at all (CC's `suppressOutput` — hook stdout never enters a transcript here, so there is nothing to suppress; see [the tighten-hook-protocol-contract Agent Note](../simplification/2026-07-04-tighten-hook-protocol-contract.md)).
- **Merge** — `mergeHookOutputs(outputs)`, folding multiple matched hooks into one most-restrictive `MergedHookOutcome`: permission precedence **deny > ask > allow**, halt sticky on the first `continue:false`, block reasons joined `\n\n`, context/system-messages accumulated in order.
- **`hook/*` session events** — `hook/invoked` / `hook/result`, declaration-merged into `SessionEventMap` (log-only, like `compact/*` — NOT `SurfaceEventType`s), with `appendHookInvoked`/`appendHookResult` helpers so the invoked/result pairing and turn-enclosure stay consistent across bridges. `appendHookResult` also owns the durable record's semantics — the decision string (the hook's parsed decision, else `'stop'` on `continue:false`, else `'pass'`) and the 500-character `stderrSummary` truncation derive from the `HookOutput` here, not per-bridge.
**Per-dialect (the bridge plugins):** building each event's stdin payload (CC's base+per-event field sets vs Codex's snake_case with `turn_id`/`model` extras), the dialect's env + `${CLAUDE_PLUGIN_ROOT}` substitution (CC) vs none (Codex), and mapping the neutral `HookOutput`/`MergedHookOutcome` onto the harness's seam-specific typed Decisions (`PreToolDecision`, `PromptDecision`, `ContinuationDecision`, `PostToolDecision`).
## Alternatives considered
**One parameterized engine.** Rejected because payload construction and decision mapping genuinely differ by dialect. Matchers, codecs, execution, merge rules, and events remain shared; each bridge keeps its payload and mapping explicit so its wire behavior is readable in place.
## Consequences
Each bridge parses config, builds its dialect payload, invokes the shared runner and merge logic, maps the decision, and appends `hook/*`. Protocol tests cover every matcher mode, exit-code and codec field, runner plumbing, merge precedence, and audit helper at per-file 100%; bridge tests exercise the library's real load path. `updatedInput` is parsed but only logged and warned until the [input-rewrite proposal](../../proposed/feature/2026-06-30-pre-tool-input-rewrite.md) lands.

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# Agent Note: Interception seams — the typed-Decision surface a hook programs against
Status: implemented
## Problem
The harness needs a hooks subsystem: users extend or gate the agent at lifecycle points the way Claude Code (CC) and Codex do. The key reframe driving this design is that **"native hooks" are not a package** — a native hook is just an ordinary Cordis plugin subscribing to the canonical lifecycle events. So the real product is a *powerful, well-typed canonical event surface*; the CC/Codex bridges (the `dsh-hooks-claude` / `dsh-hooks-codex` packages) are merely translators that map an external shell-hook protocol onto that same surface. Anything a bridge can do, a plain plugin can do directly — more powerfully (no serialization boundary, full `ctx`, typed returns).
The surface needs distinct contracts for per-prompt policy (CC's `UserPromptSubmit`), session-start observation (CC's `SessionStart`), pre-tool policy, around-dispatch control, post-tool transformation, final-result observation, and continuation with a model-facing reason. Conflating those phases gives plugins mutation channels they do not need and makes finality depend on listener ordering. The [event-domain-semantics Agent Note](../architecture/2026-06-30-event-domain-semantics.md) supplies the three-domain rule and the typed-Decision idiom; this Agent Note applies them to the lifecycle seams.
## Decision
The canonical surface separates transformable policy, around-dispatch control, and observe-only notification. Policy waterfalls return small seam-specific **typed Decision unions**; wrappers return normalized results; notifications receive immutable snapshots and cannot affect the outcome. The set covers the hook points in scope (`session-start`, `prompt-submit`, `pre-tool`, `post-tool`, `stop`-via-continuation) while leaving non-hook execution policy independently composable.
**Agent events** (`dsh-agent`):
- `agent/session-start(agent, source)` — emit, once before turn 1, carrying a `SessionStartSource` (`startup` for a fresh/forked create, `resume` for a reloaded persisted session; `clear`/`compact` reserved). A pure notification — it CANNOT block startup (a deliberate gap: a bridge logs/injects, it does not gate startup). A listener seeds context via `agent.inject()`.
- `agent/prompt-submit(agent, content, source, signal, next) → PromptDecision` — waterfall, fired for the turn's single claimed queued message before the `user/message` append. The explicit turn signal is placed before the final `next`; `allow` optionally rewrites the prompt `content` or attaches separately sourced `additionalContexts[]`, while `block` appends a durable `prompt/blocked` and rejects that zero-step turn.
**`agent/turn-continuation`** receives and returns a `ContinuationDecision`. A `{action:'continue', reason?}` may carry model-facing content and source recorded as next-step steering in the same turn — the typed twin of the `/goal` step-end-steer pattern. It is not a `context/message`, so its type does not offer durable context metadata.
### The tool pipeline gives each phase one kind of authority
Every call follows `tools/pre-execute` → guards → `tools/execute` → dispatch → `tools/post-execute` → `tools/result`. The registry snapshots caller input, materializes and freezes arguments, and assigns an opaque token. Nested calls carry only the parent token. Identity remains immutable; only `signal` may change around dispatch. The log, UI, and tool body therefore agree on what ran.
- **`tools/pre-execute`** is the extensible waterfall gate. Its `PreToolDecision` allows, denies, or asks. Deny skips `tools/execute` and core dispatch. Ask resolves through the optional approval seam: only `allowed-once` continues through guards and dispatch; rejection, cancellation, an unavailable channel, a missing approval service, or an agent-less call becomes a normalized denial. Every outcome still reaches post-policy and final observers.
- **`ctx.tools.guard()`** installs synchronous scope-aware policy after the whole pre-execute waterfall. A guard may deny or abstain, never force-allow, so listener ordering cannot resurrect an operation that a final invariant forbids.
- **`tools/execute`** is the around-dispatch waterfall for timeout, retry, and metrics plugins. A wrapper delegates to core dispatch with `next()`, may replace and restore the required `exec.signal` before doing so but cannot remove it, and receives the already-normalized result of a thrown or unknown tool; returning its own valid result short-circuits dispatch.
- **`tools/post-execute`** is the inspect/transform waterfall. Its `PostToolDecision` accepts, blocks with feedback, optionally replaces content, or attaches `additionalContexts`. The returned decision is the supported transform channel; after the waterfall, the registry materializes the complete outcome once before final observation.
- **`tools/result`** is the synchronous contained notification after every transform, lossless-JSON materialization, and the outer error boundary. It receives the same frozen execution identity and an immutable snapshot of the authoritative result; observer failures are contained per listener and cannot change or reject `ToolRegistry.execute()`'s returned outcome.
Core dispatch and the tool body sit inside normalization boundaries, so tool, listener, malformed-result, non-JSON result, and identity-shape failures resolve as JSON-safe `isError` results rather than escaping the turn. A post-execute listener can therefore inspect a thrown tool, and a final observer sees exactly what the caller receives and the session log can persist.
**`TurnEndReason.rejected`** (`dsh-session`): a zero-step turn whose claimed prompt was blocked by `prompt-submit`.
### Three load-bearing loop decisions
1. **Open the turn before prompt policy.** A blocked prompt becomes a zero-step `rejected` turn, preserving enclosure and giving ACP a durable terminal event. The veto records `prompt/blocked` with the original prompt and reason, while every allowed `additionalContexts` entry is injected into the open turn. Each claimed ordinary-send item is the sole message in its turn under the [one-send-one-turn simplification](../simplification/2026-07-17-one-send-one-turn.md); a pre-start drop creates no turn.
2. **Post-tool `additionalContexts` and asynchronous injections enter the active-batch FIFO and append when that batch settles.** `content`/`feedback` shape the result `execute()` returns, but each context is a separate `context/message`, and a single step or composite tool can produce many. Appending context immediately would interleave `result(c1) → context → result(c2)` or place nested context before its outer result, breaking tool-call/result adjacency. `ToolRunContext.deferContext()` therefore collects nested-dispatch context through failures, `execute()` surfaces the ordered array on `ToolExecutionResult`, and the loop accepts it into the same FIFO as `agent.inject()` calls made during execution. The FIFO appends after every recorded result when the batch settles, including before an interrupted turn closes. An accepted outer call preserves deferred contexts before decision contexts; an outer block discards deferred contexts and exposes only contexts explicitly supplied by the blocking decision.
3. **A forced `continue` `reason` is enqueued through the steering channel**, so the next step's top-of-loop drain records it as steering for the continued turn — next-*step* steering within the SAME turn, not a next-*turn* prompt (matching the existing `hasSteering` force-continue override).
### Pre-tool input rewrite is a separate consistency decision
`PreToolDecision` cannot rewrite arguments. History and the audit call are logged before execution, and ACP presentation reads the same input, so the registry seals arguments before policy. A valid rewrite must update history, audit, presentation, and execution before identity is created; that contract belongs to the [input-rewrite proposal](../../proposed/feature/2026-06-30-pre-tool-input-rewrite.md).
### Boundaries
The seam package does **not** declare `hook/*` session events (the durable hook-invocation log); those belong to `dsh-hook-protocol`, because a native plugin uses typed decisions without an external hook log. The native-plugin integration test (`packages/core/agent-loop/tests/interception.spec.ts`) composes the seams through the real loop with no `hook/*` protocol. Compaction (`PreCompact`/`PostCompact`), Notification, and Codex `PermissionRequest` remain outside this decision. The [approval seam](2026-07-06-approval-seam.md) resolves `ask` decisions through `ctx.approval`, while terminal monotonic stopping is owned separately by `agent/turn-stop`.
## Alternatives considered
- **Shipping pre-tool INPUT rewrite as part of this seam set** — deferred as the over-reach signal; the section above carries the consistency problem (audit, history, and presentation all read `tool/call.arguments` logged before execution), and [the pre-tool input-rewrite proposal](../../proposed/feature/2026-06-30-pre-tool-input-rewrite.md) owns the design.
- **Declaring the durable `hook/*` SessionEvents alongside the seams** — rejected: a native plugin uses the typed Decisions with no hook log at all (the worked example proves it), so the durable log belongs to [the hook-protocol library](2026-06-30-hook-protocol-lib.md), not the seam surface.
## Consequences
The canonical interception surface is uniformly typed without giving every extension the same power: hooks return decisions, execution wrappers wrap, terminal guards only deny, and final observers only observe. The loop owns session-start, prompt-submit, post-tool context buffering, and continuation; `dsh-tools` owns identity sealing and the five-phase execution pipeline. Their contracts are documented in [architecture.md](../../../../docs/architecture.md), package READMEs, [core interception decisions](../../../../docs/core-data-structures/core.md#interception-decisions), and [tool structures](../../../../docs/core-data-structures/tools.md). The ACP bridge maps `rejected` turns to its `cancelled` codec value, while hook-driven snapshots verify the observable bridge behavior end to end.

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# Agent Note: SessionStore fork API
Status: implemented
## Problem
The event-sourced session log already has the primitive a fork needs: create a new session with a seed event prefix, then derive model history from that seeded log exactly as replay does. That primitive is intentionally low-level: `ctx.sessions.create(id, { seed, meta })` accepts any valid seed, but ordinary live-session branching needs policy around which prefix can be copied, which metadata is stamped on the child, and how errors are classified.
The semantic hazard is the fork boundary. A valid user-visible fork seed must be contiguous and turn-enclosed. Forking inside an active turn would copy an open `turn/start`, possibly an open `step/start`, and possibly dangling tool calls. That violates turn-enclosure and provider-transcript invariants, and it creates a misleading child history that appears to have participated in an unfinished parent turn. The existing [subagent seam](2026-06-21-subagent-capability-seam.md) deliberately solves a different problem: tool-triggered subagent forks usually happen while the parent turn is open, so `dsh-subagent-fork` clips the seed to the parent's last completed-turn prefix. A general session fork should not silently clip; it should either fork the requested boundary or reject it.
## Decision
`dsh-session` owns ordinary live-session forking directly on `ctx.sessions`. There is no separate `dsh-session-fork` package or `ctx.sessionFork` service: the API has no independent backend, event vocabulary, lifecycle, or persistence behavior, and all durable work delegates to the existing session store and persistence backends.
The store exposes one operation:
```ts ignore-check
type SessionForkSource = Session | SessionId
class SessionStore extends Service {
fork(source: SessionForkSource, boundary?: number, childSessionId?: SessionId): Session
}
```
`boundary` is the inclusive source event `seq` to copy through. When omitted, it defaults to the source session's current last event; on an empty source, omitted `boundary` creates an empty child. Fork-specific validation only checks that the requested boundary exists and is a `turn/end`. The selected prefix is then deep-cloned into the child seed. The child inherits the source session's `cwd`, stamps `parentSession` to the source id, and sets `seedLength` to the copied prefix length. When `childSessionId` is omitted, `SessionStore` generates one using its existing id policy.
An empty prefix is forkable; any non-empty boundary must be a safe existing sequence at `turn/end`, regardless of reason. Typed errors distinguish missing sources, stale objects, duplicate child ids, and invalid boundaries. Broader log validation and crash repair remain with their existing owners.
## Alternatives considered
**Separate `ctx.sessionFork` service.** This was the first implementation, but review showed it overfit the capability-seam pattern. The code had no swappable backend, no extra event surface, no independent ownership lifecycle, and no durable behavior beyond `ctx.sessions.create({ seed, meta })`. Keeping a separate package would make callers discover and install a second service just to perform policy around a session-store primitive.
**Two functions: `snapshot()` plus `fork()`.** This preserved a reusable seed/metadata computation, but the only supported consumer created a session immediately. It also made the surface feel more abstract than the concrete operation users need. A single `fork()` with an explicit `boundary` keeps the API direct while still supporting previous-point forks.
**Silently clip open turns to the last completed boundary.** That is correct for `dsh-subagent-fork`, where delegation often starts while the parent turn is open and the child should inherit only the completed prefix. It is wrong for ordinary user/session branching because it hides that the requested fork point was not actually a valid boundary and silently drops the parent turn tail.
## Consequences
The public surface stays small and discoverable: live session branching is part of `ctx.sessions`, next to `create({ seed })`, rather than a standalone service or a two-step helper pair. Persistence continues to work through existing `session/created` and `session/flush` behavior: a forked child starts life with seeded events, so existing backends persist that seed once and preserve `parentSession` / `seedLength` in the header.
The v1 scope still excludes ACP `session/fork`, unloaded persisted-session forking, model-facing tools, and subagent refactors. If a future ACP method is added, it should advertise the capability only after it has transcript/snapshot coverage; this Agent Note adds no editor-facing updates, so no ACP snapshot is required now. Fork-child replay remains covered by the existing [seed-boundary testing Agent Note](../testing/2026-06-22-fork-child-replay-seed-boundary.md), while this API gets focused `dsh-session` unit tests plus JSONL persistence coverage.

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# Agent Note: Subagent lifecycle enrichment — lastAssistantMessage (observe-only)
Status: implemented
## Problem
The hooks subsystem ([interception seams Agent Note](2026-06-30-interception-seams.md)) lets a plugin observe and gate the agent at lifecycle points. Claude Code and Codex both expose **SubagentStart / SubagentStop** hooks, and CC's carry the subagent's final message. The harness already emits `subagent/start` and `subagent/end` lifecycle events ([the subagent capability-seam](2026-06-21-subagent-capability-seam.md)), but their payloads were minimal (`provider`, `id`, and on end `stopReason`) — not enough for a hooks bridge to report WHAT a subagent produced without separately reaching for the live run.
This Agent Note enriches the end payload. It is deliberately **observe-only**: no control-flow change and no waterfall. A run-affecting subagent-stop decision (continuation, injection that changes the run) is a separate, larger redesign and stays out of scope.
## Decision
**Add `lastAssistantMessage` — the child's final output — to `SubagentRunEndInfo`.** On the settle path it is the readonly typed `SubagentResult.output`, so an observer sees what the child produced without holding the run. On an infrastructure rejection where no `SubagentResult` exists, it is absent and the event reports `stopReason: 'error'`. Providers and listeners are trusted same-process collaborators and honor the borrowed immutable payload contract.
Both events stay plain **`emit`s**. Async `SubagentService.start()` attaches result observation to the ready provider run, emits `subagent/start`, and then returns the run; an in-process listener can therefore reach the published child via `ctx.agents.get(info.id)`, while a remote provider need not have a local registry entry. A rejected provider start emits neither event. The callbacks remain observe-only and per-listener containment keeps one bad subscriber from stranding a live run or starving later listeners.
## Alternatives considered
**An `agentType` subagent-kind label** (the harness analogue of CC's `subagent_type`) on the request + both lifecycle payloads — an earlier draft shipped it; dropped in review because it is a Claude-Code concept that does not fit our own seam (nothing here interprets it, and the only consumer was a CC-dialect bridge). The CC bridge instead feeds Claude Code's own default matcher value `"general-purpose"` for its SubagentStart/Stop `agent_type` matcher, so this Agent Note ships ONE enrichment: `lastAssistantMessage`.
**A control-flow `subagent/end`** — deferred; see below.
## Why observe-only, and what is deferred
A control-flow `subagent/end` (an awaited waterfall returning a stop/continue decision, like the other interception seams) would require: reshaping `subagent/end` from emit to waterfall, restructuring `SubagentService.start` to await listeners before settling, and implementing the `resume` capability in the in-process provider so a "continue" can actually re-run the child. That belongs to the background/steering subagent redesign the [capability-seam Agent Note](2026-06-21-subagent-capability-seam.md) already defers (the same redesign that unifies long-running-tool handling across subagents and bash). This Agent Note ships the observe-only enrichment a hooks bridge needs today; `FIXME(subagent-continuation)` / `TODO` anchors mark where the control-flow version would land if and when that redesign happens.
## Consequences
A hooks bridge (or a native plugin) can now forward the child's `lastAssistantMessage` to a SubagentStop handler by subscribing to the existing emits — no new control-flow surface. The vocabulary addition is documented in [docs/core-data-structures/subagent.md](../../../../docs/core-data-structures/subagent.md) (the events prose) and the two subagent READMEs; the catalog is regenerated. No production behavior changes — the events fire exactly as before, with one more (optional) field on the end payload — so no snapshot or e2e change is needed.

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# Agent Note: Dynamic workflows — a script-driven multi-agent orchestration seam
Status: implemented
## Problem
The harness can delegate ONE task to ONE child (`dsh-tool-subagent`), but work that fans out across many independent pieces — an audit over many files, a migration, multi-angle research, adversarial verification of findings — forces the model to orchestrate turn by turn: every intermediate result lands in the parent context, the plan lives nowhere durable, and coordination costs a model round-trip per step. Claude Code ships this capability as [dynamic workflows](https://code.claude.com/docs/en/workflows): the model writes a JavaScript orchestration script, a runtime executes it, and the script — not the conversation — holds the loop, the branching, and the intermediate results.
## Decision
A workflow capability family at `packages/workflow/` in the bash seam shape (interface / implementation / consumer), plus the structured-output foundation it needs on the subagent seam.
### The script contract (Claude Code-compatible)
A workflow call contains JSON `meta` (`name`, `description`, and optional `whenToUse`/`phases`) and a JavaScript `script` body with top-level `await` that returns a JSON value. Metadata is validated as data and never evaluated. The body receives `agent(prompt, options)`, `parallel(thunks)`, `pipeline(items, ...stages)`, `phase(title)`, `log(message)`, and `args`. Pipeline stages receive `(prev, item, index)` with no cross-stage barrier; failed children and ordinary stage errors resolve the affected item to `null` and skip its remaining stages. Claude Code's determinism restrictions are deferred with journaling, so compatible bodies may use clock and randomness after moving their meta header into the parameter.
One deliberate strictness DIVERGENCE from CC: hook misuse — unknown or deferred options (`effort`/`isolation`/`agentType`), malformed arguments, schemas outside the supported subset, tripped caps, seam start failures — throws a `WorkflowError` with `fatal: true`, and the combinators RE-THROW fatal errors instead of nulling the item. Without this, a typo'd option dissolves into a `null` indistinguishable from a child failure — the accepted-then-ignored failure mode this repo bans. One addition: the tool's `args` parameter is a JSON OBJECT (a bare list is wrapped as a field) so the wire schema stays honest.
### The seam (dsh-workflow)
`ctx.workflows` is an abstract `WorkflowService` in the bash shape — one engine per context, no named-provider registry (engines are deployment swaps, not co-residents). `start(request)` throws synchronously for a script that cannot begin; a returned `WorkflowRun`'s `result` NEVER rejects (failures resolve as `stopReason: 'error' | 'cancelled'`). The `workflow/*` events are observe-only emits carrying DATA SNAPSHOTS (id + meta; `workflow/end` omits the result value), per-listener contained, mirroring `subagent/start`/`subagent/end` — control stays with the run's holder. Vocabulary details: [core-data-structures/workflow.md](../../../../docs/core-data-structures/workflow.md).
### The engine (dsh-workflow-workerthread): one worker thread per run
**Trust premise**: workflow scripts have the same trust as the model's bash access. The engine contains buggy scripts and guarantees settled results, JSON-safe values, and cancellation quiescence; it does not defend against hostile code. A vm context and worker thread are not security boundaries: a script can escape to Node APIs with process-wide authority. Sandboxing requires a separate-process or isolated-vm engine behind this seam.
**Why `node:worker_threads`**: each run gets one unpooled worker. A vm context limits the documented script surface, while message-port RPC bridges `agent()` to host-side child loops. The worker prevents synchronous script work from blocking the host, provides a serialization boundary, and permits forced termination after cancellation. `isolated-vm` was rejected because of its maintenance state and deployment requirements.
The host validates metadata and parses the body before publication. Private enum-keyed payload maps define the wire protocol; pending starts, published child records, one cancellation signal, worker-death reaping, result precedence, and disposal quiescence preserve the subagent run contract across it. The [agent-scope runtime-design Agent Note](../architecture/2026-07-12-agent-scope-runtime-design.md#workflow-children-are-pending-starts-or-published-records) owns those race algorithms.
The engine exposes an in-process `MessageChannel` test path because main-process V8 coverage cannot see worker execution.
**Meta is data**: the schema-validated `meta` field reaches the seam as JSON and is only shape-validated. The host never evaluates a metadata literal, which would let script-controlled accessors run outside the worker's isolation.
**Value boundary**: `materializeFromRealm` copies outbound values and rejects functions, symbols, nested `undefined`, exotic prototypes, cycles, sparse arrays, and non-finite numbers. Data-property copies make `"__proto__"` safe; getters are read normally and a throwing getter fails loudly. `args` crosses through `workerData` and is cloned again before exposure. Realm functions are invoked rather than copied, and thrown values use a total renderer so `result` cannot reject. Hook errors are host-realm `WorkflowError`s, so scripts branch on `name` or `code` rather than `instanceof Error`, as documented in the engine README. Concurrency, total-agent, item, timeout, and grace limits are validated config.
### The consumer (dsh-tool-workflow)
A `workflow` tool mirroring `dsh-tool-subagent`'s synchronous shape: start, await, `try/finally` dispose, abort-bridge `exec.signal`, non-`completed` → `isError`. Render intent: a `generic` card titled by the call's `meta.name` parameter (presentation is a pure function of args). The tool description IS the model-facing authoring spec. The usage policy ships with the tool as its own `tool:<toolName>` prompt section (explicit-ask-only guidance — tool guidance lives in tool plugins, never in the deployment persona); the harness has no ultracode-style effort gate.
### The foundation: structured output on the subagent seam
`SubagentStartRequest.outputSchema` is implemented by `dsh-subagent-inprocess` for both in-process backends. Each structured child receives its own scoped capture tool, instruction, and enforcement registrations on `child.ctx`; concurrent children can use different schemas without sharing mutable policy, and disposing the child removes the entire attachment.
An output schema makes a schema-valid committed capture mandatory for successful child completion. The scoped runtime presents the capture tool and instruction, commits only a successful final outcome—including the enclosing `run_code` outcome for an SDK call—denies later side effects after capture becomes pending, and stops the child without another model step after commit. A validation failure remains a retryable tool error; clean completion without a committed capture settles as an error.
`StructuredOutputSchema` is the raw enforceable JSON-Schema subset in `dsh-tools` (single-string `type`, `properties`/`required`/`additionalProperties`, `items`, scalar `enum`/`const`), and unsupported keywords fail loudly because that wire data becomes the capture tool's parameters verbatim. The [agent-scope runtime-design Agent Note](../architecture/2026-07-12-agent-scope-runtime-design.md#structured-output-commits-only-authoritative-outcomes) owns the assembly, commit, guard, and terminal-stop correctness algorithms.
## Testing
Worker-side logic runs through an in-process `MessageChannel` so V8 coverage measures it. Unit tests cover script helpers, fatal and nullable failures, JSON boundaries, caps, cancellation, child ownership, and structured output through real loops. A built-bin smoke runs the separately bundled `lib/worker.cjs` under plain Node, a with-key e2e drives real child agents, and model-facing workflow behavior is snapshot-covered through its owning example.
## Deferred (documented non-goals of this cut)
- **Background collection** (start tool → run id → completion notice → collect), designed alongside bash/subagent background unification.
- **Journaling + resume** (`resumeFromRunId`, cached agent() prefixes) — implementing it reintroduces CC's determinism bans as a script-contract tightening (scripts may read the clock today).
- **Saved/bundled workflows** (a `.deepseek/workflows/` registry, slash-command surface) and **script persistence to a run directory** (the tool-call event already records the script durably).
- **Nested `workflow()`**, **token `budget`**, and the `effort`/`isolation`/`agentType` agent options (each rejects loud with a message naming it deferred).
- **An overall run wall-clock timeout** — cancellation always frees the caller (result settles within the grace), so a cap on total run time is a policy knob for the background redesign, not a correctness need here.
- **Engine hardening beyond worker threads**: an isolated-vm or separate-process engine behind the same seam (actual sandboxing; memory limits).
- **ACP progress UI** over the `workflow/*` events (a `/workflows`-style view); the events exist for it.
- **ACP-backend structured output** and **`toolFilter`** (both still capability-gated `false`).
## Alternatives considered
- **Hostile-value containment in the host** (trap-free proxy rejection, accessor-never-invoked descriptor walks, realm-side pre-rendering of thrown values, realm-built promises/arrays/error clones with structural fatal recognition): rejected because every defense targets an author the trust premise accepts, while the thread's serialization boundary already makes cross-realm values total by construction.
- **In-process `node:vm` execution**: mechanically simplest — no RPC, no thread — but `start()` blocks the caller for the script's initial synchronous slice, a synchronous spin past the first await cannot be killed in-process (the vm `timeout` covers only that first slice), and `dispose()` could only abandon an unsettling script on the host loop. The worker-thread engine keeps the same vm-context script surface while unblocking the host and making termination real.
- **Background execution as the default** (CC's shape): deferred; foreground-synchronous matches `dsh-tool-subagent`'s cut, and background semantics should be designed ONCE across bash/subagent/workflow rather than per-tool.
- **Workflow-layer JSON parsing for `agent({schema})`**: duplicating a seam concern at one consumer while the seam's capability flag stayed dishonestly `false`.
- **Meta embedded in the script as `export const meta = {...}`** (CC's exact format): keeps scripts self-contained and CC scripts drop-in, but obtaining meta requires evaluating model-written text on the host. Even an empty timed vm context cannot bound script-controlled getters when the host reads the resulting object. A JSON parameter removes the scanner, evaluation, and host-spin hole; the cost is that a CC script's meta header must move into the parameter (the body stays drop-in).
- **`SchemaSpec` as the outputSchema type**: the author-facing DSL cannot express what arrives as data and cannot be validated against without conversion loss.
- **A schema-object library (zod, or the repo's schemastery) for the structured-output subset**: the schema is wire data — plain JSON that crosses the vm realm boundary in `agent({schema})` and lands verbatim in the forced tool's parameters — exactly where live schema objects cannot sit; consuming raw JSON Schema at runtime would need a third-party converter on top (zod core only emits JSON Schema, not the reverse), and it would put a second schema language beside schemastery's config role.
- **ajv for value validation**: it validates FULL JSON Schema, so the subset gate — the module's actual point, since every accepted keyword must be one the harness enforces — would remain hand-written regardless; it compiles validators through `new Function`; and it would be dsh-tools' first runtime dependency, all to replace the ~70-line value walker while the path-qualified, every-violation error reporting stays custom either way.
- **Provider JSON mode instead of the capture tool:** it guarantees valid JSON, not schema conformance, and its interaction with tool calling is unclear. The capture tool preserves in-turn validation retries. Provider-side strict tool schemas can later narrow the accepted subset without changing this design.
## Consequences
Fan-out plans now live in rerunnable scripts, and `outputSchema` provides authoritative structured child results. Each run pays worker startup and message-port RPC costs, but host startup stays non-blocking, cancellation can terminate the worker, and serialization enforces the value boundary. Worker threads are not a security boundary. Invalid options fail rather than degrading to Claude Code's `null`; consumers retain control through the run handle while observers receive snapshots only.

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# Agent Note: Skill system — progressive disclosure instructions for agents
Status: implemented
## Problem
Agent products have converged on a skill pattern: keep the request prompt small by listing only available instruction bundles, then load the full body when the model decides a task matches. Codex, Claude Code, OpenCode, and Kimi Code differ in details, but all separate discovery metadata from complete instructions so a workspace can carry reusable behavior without paying the full prompt cost on every turn.
DeepSeek Harness uses the same primitive so project-specific review, plugin-authoring, and tool-usage guidance lives next to the workspace or the user's agent configuration instead of being hard-coded into the loop.
## Decision
`@deepseek-ai/dsh-skill` is the pure provider registry (`ctx.skills`), `@deepseek-ai/dsh-skill-local` is the shipped local filesystem provider, and `@deepseek-ai/dsh-tool-skill` owns the session-prefix catalog and model-facing loader tool. `dsh-agent-spine-demo` loads the registry, local provider, and consumer by default so stdio and ACP apps get the same behavior while embedded or remote providers contribute skills without changing the registry or consumer. Its `skills` config forwards `registry`, `local`, and `tool` branches to those owners.
Provider plugins register synchronously during `apply()`. Provider membership is direct effect-owned state: registration and disposal invalidate completed catalogs synchronously, and discovery reads the current provider map on demand rather than observing registry-change events. Provider catalogs return ranked candidates from awaited `list()` calls, where remote providers perform initialization, authentication, and discovery while honoring the lookup abort signal. The registry validates each candidate, resolves same-name skills first-wins by rank, provider registration order, and provider-local order, then sorts summaries by skill name for deterministic consumers. It caches only completed catalog snapshots and retries when a provider/runtime revision changes during discovery, so an unload cannot freeze a stale, unresolvable skill into a session prefix. Runtime `ctx.skills.register(...)` remains a convenience for embedded in-process skills and uses project-over-user priority; `runtime` is reserved as the registry-owned provider name.
The local provider scans cwd-sensitive project roots, custom roots, and user roots in first-wins rank order: project `.dsh`, project `.agents`, `customSkillDirs`, user `.dsh`, then user `.agents`. The user `.dsh/skills` scan skips `.system` so a system-owned directory is not treated as normal user content. DeepSeek Harness does not ship built-in system skills; embedded or remote providers supply additional skills when configured.
Each skill is either `<name>/SKILL.md` or `<name>.md` with YAML frontmatter. `name` and `description` are required; `whenToUse`, `disableModelInvocation`, and `metadata` are optional. Names are kebab-case. YAML frontmatter is parsed with the `yaml` package instead of `js-yaml` or a hand-written parser: `yaml` is the already-declared modern parser for this package's limited frontmatter needs, and a narrow parser would either reject valid YAML users expect to work or grow into an unreviewed YAML subset.
Local skill filesystem I/O goes through `ctx.fs` when a filesystem service is loaded: project-root lookup probes `.git` with `resolve` and `stat`, root discovery uses `listDir`, and skill reads use `readText`. The Node filesystem remains a fallback for minimal contexts that mount `dsh-skill-local` without the fs seam. Missing roots, unreadable or malformed skill files, and transient provider `list()` failures degrade to warn-and-skip so one bad source does not make every agent request fail; malformed candidates still fail fast because they are provider contract violations.
`dsh-tool-skill` contributes one user-role `<system-reminder>` catalog through [`agent/session-prefix`](2026-07-07-session-prefix.md). The catalog contains sorted skill name and description only; it excludes bodies, paths, sources, providers, and routing hints. Descriptions are whitespace-normalized, XML-escaped, and capped by `catalogDescriptionMaxLength`, whose default is `500` and minimum is `3`. The session-prefix seam freezes the request-only catalog per loop instance and records it in the request header, preserving reconstructability without adding it to durable history. Full skill bodies are never included in the catalog.
The `skill({ name })` tool loads one full skill for the current agent cwd and returns a tool result containing `<skill_content name="...">`, `<skill_resources>`, and `<skill_instructions>`. `resourceBase` supplies a directory, URL, or opaque provider-managed base for explicitly referenced scripts, references, and assets; resources load only as needed, without directory enumeration. An unresolved name reports that the skill is unknown or no longer available; invalid names and skills marked `disableModelInvocation` retain distinct tool errors. The tool result is the model-visible disclosure path.
The data structures and catalog/tool contract are documented in [skills.md](../../../../docs/core-data-structures/skills.md), with service signatures in the generated [services catalog](../../../../docs/cordis-catalog/services.md).
## Alternatives considered
**Inject full skill bodies into every system prompt.** Rejected because it destroys progressive disclosure and makes every request pay for instructions that may not apply.
**Expose skills only as slash commands.** Rejected because model-initiated loading is the core capability; slash/ACP command advertisement does not change discovery.
**Put local filesystem scanning directly inside `ctx.skills`.** Rejected because coding agents, web agents, and future plugin ecosystems need different skill sources. A provider registry mirrors the subagent seam: the registry owns conflict resolution and consumers, while implementations own loading.
**Use a system-prompt section.** Rejected because the rendered system prompt is a single string, while the catalog is a user-role `<system-reminder>` message with request-only lifecycle requirements. [`agent/session-prefix`](2026-07-07-session-prefix.md) is the selected mechanism: it places the catalog ahead of derived history and records the composed message in the request header.
**Materialize built-in DSH authoring skills under `~/.dsh/skills/.system`.** Rejected because bundled skills do not write user home on startup, and embedded or remote providers supply configured skills.
**Recursively discover nested `**/SKILL.md`.** Rejected. Flat files and one-level directory bundles cover the configured roots while keeping duplicate handling and catalog order easy to reason about.
**Hand-parse frontmatter.** Rejected because the accepted schema includes an open `metadata` object. A narrow parser would either reject valid YAML users expect to work or grow into an unreviewed YAML subset.
## Consequences
The agent-core spine includes one session-prefix contributor, one local provider, and one model-facing tool. Skill discovery is cwd-sensitive, so callers that create agents with different session cwd values can observe different project skill overrides by design.
The catalog is deterministic for a fixed root set and runtime registration revision, but disk changes are not watched; discovery is memoized until runtime registration invalidates the cache or the process restarts.
## Deferred
Forked skill contexts (`context: fork`), parameter declarations and hints (`arguments` and `argument-hint`), and per-skill tool constraints (`allowed-tools` and `disallowed-tools`) are outside the shipped contract. The registry, local provider, and model-facing tool do not parse, advertise, or enforce these fields, and the `user-invocable` frontmatter field is likewise unparsed. Direct user invocation itself ships as a consumer-side affordance instead: the TUI front door offers a manual `/skill:<name>` command over the registry's existing `list()` and `get()` methods, without a registry, provider, or tool contract change — see [the TUI skill slash command](2026-07-21-tui-skill-slash-command.md).

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# Agent Note: The approval seam — one-shot permission decisions over a waterfall of answerers
Status: implemented
## Problem
Two callers need to put one question — "may this specific action proceed?" — to a human: `tools/pre-execute`'s `ask` decision (including the Claude-Code hook bridge's `permissionDecision: ask`) and the [sandbox Agent Note](2026-07-06-sandbox.md)'s post-denial one-shot escalation retry. A shared seam keeps them from inventing separate outcome vocabularies, UI routing, cancellation, and audit trails, while guaranteeing that a deployment with no UI can never grant an unanswerable request.
The routing problem is ownership: an approval prompt must reach the editor session that owns the asking agent (the ACP bridge multiplexes N sessions over one connection), fail closed for agents nobody owns (in-process subagents, tests), and stay out of deployments that compose no UI (headless, CI).
## Decision
One package, `dsh-user-approval` (`packages/ui/user-approval`), owning the vocabulary and the `ctx.approval` service — the MECHANISM. The POLICY — who answers, and whether a session is asked at all — lives outside it: answerers are `approval/request` waterfall listeners registered by the plugins that own the channel (the ACP bridge; future terminal UIs; test scripts), and a per-session policy tier can decide before any human is involved. Consumers (`dsh-tools`' ask routing, the sandbox escalation gate) resolve a question to a closed outcome and derive their own tool results from it. Deliberately ONE package, not the capability-seam three (see Alternatives).
### How a deployment uses it
One `cordis.yml` entry mounts the seam. Not loading it is the fail-closed opt-out: consumers deny unanswerable requests with zero approval code registered.
```yaml
- id: approval
name: '@deepseek-ai/dsh-user-approval'
# config:
# policy: never # deployment default for sessions without an override; 'ask' when omitted
```
The entry alone provides mechanism, not a channel: with no answerer composed, every ask resolves `unavailable` and the asking tool call denies — fail-closed needs no configuration. Composing the ACP app (`@deepseek-ai/dsh-acp-demo`, as in [the acp-agent example's default tree](../../../../examples/acp-agent/README.md)) completes the loop: its bridge registers an answerer that prompts the owning editor session via `session/request_permission`, so a hook's `ask` or an escalation request surfaces as a one-shot Allow/Reject prompt attached to the already-streamed tool call. `policy: never` is the unattended stance — every ask auto-rejects deterministically, stated in the system prompt, no human in the loop. `policy` is validated against the closed list at plugin load; anything else throws.
What a composed deployment observes: `allowed-once` lets exactly that call proceed; rejection, dismissal, and channel absence deny with three distinct reasons the model can tell apart; a successful in-turn request lands a durable `approval/asked`/`approval/decided` pair on the asking agent's session log; nothing about a grant persists past the call that asked. An idle request or audit append failure rejects instead of returning an unaudited decision.
One ask under this composition, verbatim from the sandbox example's recorded `escalation-approved` scenario — the model requests a sandbox escalation, the gate asks, the bridge prompts the owning editor, the user clicks Allow once:
```
tool/call bash {"command": "printf 'escalated\n' > escalated.txt && cat escalated.txt",
"sandbox_permissions": "workspace-write",
"justification": "the user asked to write escalated.txt in the workspace"}
approval/asked {"toolName": "bash", "callId": "call_00_…",
"reason": "escalate sandbox to workspace-write: the user asked to write escalated.txt in the workspace"}
→ session/request_permission {"toolCall": {"toolCallId": "call_00_…"},
"options": [{"optionId": "allow-once", "name": "Allow once", "kind": "allow_once"},
{"optionId": "reject-once", "name": "Reject", "kind": "reject_once"}]}
← the user picks "Allow once" on the prompt the editor attaches to the streamed bash call
approval/decided {"outcome": "allowed-once"}
tool/result "escalated" — this one call ran under the wider mode; the grant died with it
```
The `escalation-rejected` twin ends in `{"outcome": "rejected"}` instead: nothing executes, and the model's result carries the asker's verbatim fail-closed text (`the user rejected escalating this command to "workspace-write"`). A hook's `permissionDecision: ask` rides the identical wire; only the asker and its deny texts differ (§ Ask routing in dsh-tools). Headless, the same request skips the prompt entirely and settles `unavailable`.
### Design detail
#### The seam: mechanism and policy split
After validation and a successful `approval/asked` append, the service resolves the `approval/request` waterfall to `allowed-once`, `rejected`, `cancelled`, or `unavailable`. It borrows the readonly request identity and signal, treats abort as `cancelled`, contains answerer failures and invalid returns as `unavailable`, discards late answers, and appends the paired `approval/decided` event. Pre-commit audit failures reject; post-append observer failures cannot undo an authoritative event. `allowed-once` authorizes only the asked action, and `request()` rejects outside an open turn so the audit pair remains inside the durable commit boundary.
Answerers are `approval/request` waterfall listeners. Zero listeners fall through to `unavailable`; a recognizing listener occupies the first-wins decision slot, while an unrecognized agent must delegate with `next()`. Listeners dispose with their fibers, so an unloaded channel fails closed. Because sibling registration order is not deterministic, a deployment composes one terminal answerer and reserves `prepend` for decide-or-delegate gates.
`ApprovalRequest` carries the asking `agent`, `toolName`, optional exact `callId`, human-readable `reason`, and optional `signal`. It uses the `CallId` brand without importing `dsh-tools`, which depends on this seam. Tool arguments stay on the already-streamed call that a UI references by `callId`.
#### Ask routing in dsh-tools
`ToolRegistry.execute()` resolves `ask` before dispatch: `allowed-once` proceeds, while rejection, cancellation, and channel absence produce distinct deny reasons. Opportunistic `ctx.get('approval')` consumption lets an absent or unmounted service fail closed without gating the registry fiber. Agent-less execution also fails closed because it has neither an audit session nor a UI owner.
#### The per-session policy tier
The seam also owns the session-scoped `'ask' | 'never'` policy described by [the sandbox Agent Note](2026-07-06-sandbox.md). Effective policy is folded from logged switches over the deployment default. `'never'` resolves to `rejected` inside `request()` before any answerer can run; `'ask'` dispatches and otherwise falls through to `unavailable`. The prompt states only deterministic `'never'`, switch narration is coalesced, and every request still records the audit pair.
#### The ACP answerer
The ACP bridge answers only for an exact agent object owned by its forward session map. It attaches `session/request_permission` to the existing `callId`, advertises one-shot allow/reject options, maps cancellation separately, and never grants an unknown option. Foreign or call-less requests delegate; a failed client RPC becomes `unavailable`. Hooks and `tools/pre-execute` decide whether a call asks at all.
The answerer routes through the bridge's exact-agent ownership check described by [the ACP support Agent Note](2026-06-14-acp-agent-client-protocol.md), implementing the per-session permission ownership required by [the multi-session Agent Note](2026-06-14-acp-multi-session.md).
#### Audit, and what the model sees
`approval/asked` and `approval/decided` are durable log-only events; the model sees only the ordinary tool result derived from the outcome. Successful completion commits one `decided` per `asked`, including cancellation and contained answerer failure. Idle requests append neither event; a pre-commit failure rejects, while failure of the second append can leave an already-committed `asked` unmatched.
#### Entities and dependencies
`dsh-user-approval` depends on Cordis plus the session, agent, and branded-call contracts; `dsh-tools` and `dsh-acp` consume it. The sandbox executor stays independent because `dsh-tool-bash` owns escalation requests. The fixed dispatch-and-audit service remains one package; replaceable answerers live with their channel owners. Static capability grants and `subagent-acp` child-side permission answers remain separate concerns.
### Testing
Unit tests pin outcomes, first-wins delegation, containment, cancellation, scoped routing, audit pairing, the unbypassable `'never'` policy, tool deny reasons, and ACP ownership/outcome mapping through a real scripted bridge.
Snapshots record allowed and rejected sandbox escalation through `session/request_permission`, plus the `'never'` prompt and policy-switch notice. Unscripted permission prompts cancel and fail closed.
## Deferred
- **`allow_always` grant storage** — honoring a persistent grant means designing storage, scope identity (call? path? prefix? session? time window?), and revocation; until designed, only the one-shot options are advertised ([the sandbox Agent Note](2026-07-06-sandbox.md) § Escalation records the open scope question).
- **A recorded hook-driven `ask` through a composed answerer** — the human-prompt wire is recorded through the sandbox example's escalation branches. The hook matrix's `hook-cc-pretool-ask` pins the no-ApprovalService fallback denial, while the hook-producer-plus-answerer composition remains on the unit tier.
- **Routing a child agent's approvals to the parent session** — `subagent-acp`'s child auto-answers its own `permission` requests; surfacing them to the parent's editor is its own design.
## Alternatives considered
- **A single registered provider instead of waterfall listeners** — rejected: a `registerProvider()` surface forces every composition question — allowlist pre-filters, external hook deciders, scripted test answers, a policy gate in front of a human — inside one provider implementation. The waterfall gets composition, fail-closed absence, and HMR disposal from machinery the runtime already has; the seam's JSDoc pins the single-decision-slot convention instead of inventing a provider registry.
- **An inline `tools/pre-execute` permission gate in the ACP bridge** — rejected: prompting for every bridge-owned call hardwires the asking POLICY into the UI plugin, cannot serve a second asker (sandbox escalation happens after execution starts, with no pre-execute moment), and leaves hook-produced `ask` decisions without a shared mechanism.
- **The generic user-interaction seam (`ctx.userInteraction`)** — rejected as the approval mechanism: the two share a skeleton (route by agent, block for a human, handle absence), but approval's contract is narrower in every dimension that matters: a closed outcome vocabulary instead of free text, a protocol-native prompt attached to a tool call instead of a generic form, mandatory fail-closed absence, and audit events. Approval therefore does not ride the shipped `packages/ui/user-interaction` / `ask_user_question` elicitation path — an elicitation form is not a permission prompt, and a free-text answer is not a closed outcome; sharing provider plumbing stays open if the two ever converge.
- **Static optional injection in `dsh-tools`** — rejected: the vendored cordis `Inject` type has no optional flag — the object form maps service names to intercept config, and a declared inject gates the fiber. `ctx.get('approval')` is the documented opportunistic-consumption pattern (the `tool-bash` owner-token lookup, the loop's persistence probe), reads presence per call, and degrades correctly across HMR without extra machinery.
- **The capability-seam three-package split** — rejected: interface/implementation/consumer fits a seam whose implementation is swappable (bash-local vs bash-sandbox). Here the service body is fixed mechanism and the variable part is listeners that live with their owners — splitting would manufacture an implementation package with nothing in it ("don't split preemptively").
- **Offering `allow_always` now** — rejected: the protocol can express it, but honoring it means designing grant storage, scope identity, and revocation (§ Deferred). Advertising an option the harness cannot honor manufactures doomed grants.
## Consequences
The implemented contract is pinned by the suites in Testing:
- `allowed-once` dispatches one action; every other outcome denies with a distinct reason, and `'never'` rejects before prompting.
- Missing, foreign, agent-less, throwing, invalid, and disconnected answer paths fail closed.
- Successful requests route by exact agent ownership and append one replayable, model-invisible audit pair; idle and pre-commit failures reject.
- ACP ownership keeps prompts inside their session, while a deployment without the service emits no prompt or audit events.
Costs and accepted limits:
- **Two decide-eager answerers race for the slot.** Sibling-plugin listener order is not deterministic, so the seam cannot referee competing terminal answerers — mitigated by convention (one terminal answerer per deployment; `prepend` only for decide-or-delegate gates) rather than a priority mechanism the event bus does not have.
- **Production exercise rests on one composition.** `ask` has two producer families — the hook bridges through `tools/pre-execute`, and sandbox escalation through its own gate — with the wire recorded in the sandbox example's snapshot suite, so the seam's real-world coverage is that one composition until more deployments compose it.
- **Ownership keys on `Agent` object identity.** The answerer resolves the forward session-map record at `agent.session.id`, then requires that record to own the exact agent object; every current path hands the same object through the loop and the seams, but a future boundary that clones or proxies agents would make the bridge delegate and fail closed — safe, but silently UI-less — and would need a different ownership contract.
## FAQ
- **What happens in a deployment with no answerer at all (headless, CI)?** Every ask falls through the empty waterfall to `unavailable` and the tool call denies with the "no approval channel is available" reason. Fail-closed is the zero-listener default, not a configuration.
- **Can a grant persist — "always allow this"?** No. `allowed-once` authorizes the single asked-about action and the service stores nothing between requests; `allow_always` is deliberately not advertised until grant storage is designed (§ Deferred).
- **What does the model see of an approval?** Only the tool result the asker derives from the outcome — the audit pair never enters the transcript. The three non-grant reasons are distinct, so the model can tell a human "no" from a dismissed prompt from a missing channel.
- **Who decides whether a call asks in the first place?** Policy producers: a hook returning `permissionDecision: ask`, any `tools/pre-execute` listener, or the sandbox escalation gate. The seam and the bridge only route and answer; neither injects its own judgment about what deserves a prompt.
- **What happens when the user dismisses the prompt, or the turn aborts mid-ask?** Dismissal maps to `cancelled` with its own deny text. An already-aborted signal settles `cancelled` without dispatching; an abort during the ask discards the late answer. When both audit appends commit, either path records one pair, never two.
- **What if the client answers with an option the harness never offered?** Any selection other than the offered `allow_once` maps to `rejected` — an unknown optionId from a non-conforming client can never grant.
- **How do subagents' approvals route?** An agent no answerer owns delegates through the whole waterfall and fails closed — in-process subagents are deliberately unanswerable. `subagent-acp`'s child-side auto-answer is separate; routing a child's asks to the parent's editor is deferred (§ Deferred).
- **What does `policy: 'never'` actually change at runtime?** The service resolves every ask for that session to `rejected` before dispatching any answerer (in-service, so no registration order can bypass it); the system prompt states the policy; switches are narrated at boundaries; each successful auto-rejection records the audit pair.
- **What happens across a hot reload, or when the UI plugin unloads mid-session?** Answerers dispose with their owning fiber, so the next ask degrades to `unavailable` instead of hanging on a dead channel; remounting re-registers the answerer with no catch-up state.
- **Where does the user see what they are approving?** On the tool call itself: the prompt attaches to the already-streamed call via `callId` — arguments included — and adds the asker's human-readable `reason`; the request carries no argument copy of its own.
## Prior art
In-repo precedents this design copies or contrasts with:
- The `fs/write-intent` gate (`packages/fs/fs/`) — the documented single-occupancy decision-slot waterfall semantics (first answer wins, delegate via `next()`) the answerer contract reuses.
- `hook/invoked`/`hook/result` — the log-only audit-pair precedent `approval/asked`/`approval/decided` follows; [the hook-bridges Agent Note](2026-06-30-hook-bridges.md) ships `permissionDecision: ask`, the first producer.
- [The interception-seams Agent Note](2026-06-30-interception-seams.md) — the `tools/pre-execute` `allow`/`deny`/`ask` vocabulary whose `ask` this seam services.
- [The ACP support Agent Note](2026-06-14-acp-agent-client-protocol.md) — the exact-agent ownership check against the forward session map that the answerer routes through; [the multi-session Agent Note](2026-06-14-acp-multi-session.md) — the per-session permission-ownership blocker this implements.
- The opportunistic `ctx.get()` consumption pattern (`tool-bash`'s owner-token lookup, the loop's persistence probe) — how `dsh-tools` consumes the seam without gating its fiber on it.

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# Agent Note: Explicit model-facing tool order
Status: implemented
## Problem
Model-facing tool order followed plugin registration order, which depends on concurrent module loading for otherwise independent plugins. That race produced different request headers in CI and snapshot recordings. Because order affects request bytes, caching, and the durable header, it needs an explicit deterministic policy.
## Decision
The system-prompt assembly owns the canonical model-facing tool order, exactly where it already owns section order. `toolOrder?: string[]` on `dsh-system-prompt` is the optional explicit policy:
- A listed tool that is registered takes its listed position.
- A listed name with no registered tool is a configuration error. Shape errors (rest entry missing or duplicate names) fail from the service constructor; an unregistered name rejects every `assemble()` — the earliest moment the registered tool set exists to check against (tool plugins register after the service constructs), and the only universal one (registrations can change at any time; cordis has no "all plugins loaded" event). Under the shipped loop the first turn fails before any model request — see the consequences below for the exact blast radius.
- A registered tool absent from the list is inserted at the `'<unlisted-tools>'` rest entry (`TOOL_ORDER_REST`), in lexicographic name order among the other unlisted tools.
- No collected tool may use `TOOL_ORDER_REST` as its `ToolSchema.name`; the assembly rejects that reserved name before ordering.
- The list must contain the rest entry exactly once and no duplicate names.
- When `toolOrder` is unset, the canonical order is plain lexicographic name order (code-unit comparison, locale-independent), so determinism requires no configuration.
`assemble()` canonicalizes provider tools before the `system-prompt/assemble` waterfall, removing registration-order variance at its source. The waterfall starts from this deterministic list; unchanged order then flows into the request header, frozen request, and reconstruction checks without loop-specific ordering logic.
Scope is deliberately narrow: this fixes the REGISTRATION-ORDER race, not plugin behavior. A `system-prompt/assemble` listener may still add, remove, or rearrange tools — same as it may edit sections after their sort — and owns the determinism of what it emits; the waterfall contract already demands deterministic listeners (the reconstructability invariant would catch a listener that diverges between build and replay).
Config plumbing follows the `persona` precedent, and `toolOrder` sits beside it: the TUI, Headless, and ACP app configs accept the key and forward it through `dsh-agent-spine-demo` (whose schema is the intersection of the owners' schemas) to the `SystemPrompt` child. One schemastery footnote is load-bearing: a schemastery array defaults to `[]`, but an omitted `toolOrder` must stay ABSENT (= lexicographic) rather than become an explicitly-configured empty list (invalid — it lacks the rest entry), so every schema on the chain forces the default to `undefined`.
## Alternatives considered
- **Registration order (the status quo)** — a concurrent-import race, host-dependent (the CI flake above), invisible in review.
- **A linearization of the plugin dependency graph** — the relation is partial and independent tool plugins are incomparable; the flake happened with the partial order fully satisfied.
- **Per-plugin `weight` on each tool contribution** — scatters the order across plugins yet still needs a global numbering convention nobody owns (the section `order` bands show that coordination cost being paid by hand).
- **Sorting in `ToolRegistry.schemas()` (the registry layer)** — equally deterministic, but the registry is a membership store consumed by more than the assembly; ordering is a prompt-composition concern, and the assembly already owns the composition policy for sections.
- **A `LlmService` config + `orderTools()` method the loop calls before logging the header** — works, but adds a public service method and a loop edit solely to apply a policy at a distance; every future request composer must remember the call. Canonicalizing where the list is born makes an unordered list unrepresentable, with zero new surface.
- **Normalizing inside `llm.stream()`** — runs after the header event is logged (the flake survives) and rebuilds the deep-frozen envelope, silently disarming the reconstruction invariant.
- **An exhaustive list (no rest entry)** — every newly loaded tool plugin would break boot; the mandatory rest entry keeps unlisted tools deterministic and their position explicit.
- **A boot-time validation pass (a `SystemPrompt.assertToolOrderSatisfied()` called by `dsh-app-boot` after `loader.await()`)** — would turn the misconfiguration into a startup death instead of a first-turn failure, but costs a public service method plus a structural coupling from the generic boot glue to one service, and cannot replace the assembly-time check anyway (embedded callers never run app boot; registrations change after boot). No existing event can host the check either: cordis v4 has no ready-like event, `loader/entry-init`/`internal/status` fire mid-load (racy against tool registration, the very entropy this Agent Note kills), and the agent lifecycle events are no earlier than the assembly. One enforcement point at `assemble()` was judged worth the later failure moment.
## Consequences
- Every registry-built assembly starts with a deterministic tool order on every host; absent an expert listener that deliberately changes it, every `request/header` event and model request inherits that order. The CI-vs-local registration-order flip is structurally gone, and the default is lexicographic.
- The initial `PromptAssembly.tools` is canonical, so waterfall listeners start from the model-facing order; provider registration order is observable nowhere before that cooperative seam.
- The snapshot suite's single pinned request-header fixture (`text-turn`) carries the new canonical tool order; every other ACP snapshot keeps the header bulk scrubbed as `{{system}}`/`{{tools}}`, per the pinned-header design.
- A pure tool reordering between steps is logged like any other header change: a full `request/header` snapshot with reason `'change'`. Stable canonical order prevents registration timing from creating such changes in the ordinary path.
- The `toolOrder` key rides the app → `agent-core` → `SystemPrompt` forwarding chain, so deployments set it next to `persona` in the app config; `dsh-llm` and the agent loop are untouched.
- A misspelled or unloaded tool name in `toolOrder` fails the turn at prompt assembly, not the boot: the loop assembles inside the turn (after `turn/start`, before `step/start`), so the rejection reaches the turn's outer catch — the turn closes balanced with an `error` reason carrying the message, `agent/error` mirrors it, no step opens, no `request/header` is logged, no request reaches the adapter, and the agent returns to idle. Every turn fails identically until the config is fixed; the process itself stays up (matching the repo rule that explicit config references must not be silently ignored — the enforcement point is the assembly because no earlier universal moment exists).
- A tool provider that returns the reserved rest-entry name has the same prompt-assembly failure shape as an unknown listed name. This keeps the sentinel from becoming an ambiguous real tool and preserves the "never drops a tool" ordering contract.
## Testing
System-prompt tests cover lexicographic default order, listed/rest placement, provider-order independence, shared names, invalid lists, unknown or reserved names, the canonical pre-waterfall list, and the rule that listener-added tools are not re-sorted. Loop tests pin identical logged and dispatched order across registration permutations, forwarding through agent-core and both apps, deep-frozen requests, and balanced turn failure with no step, header, or adapter call for an unknown configured name. Snapshot replay keeps the full canonical list only in the pinned `text-turn` header; other fixtures continue to use `{{tools}}`.

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# Agent Note: The subprocess sandbox — confinement seam, native runners, escalation, and per-session modes
Status: implemented
## Problem
A coding agent needs this product path: bash subprocesses — and the hook commands that ride them — execute under a restricted file sandbox by default; if and only if the sandbox actually denies an operation, the model may request one user approval for that same operation and, once granted, retry it once with wider permissions. An every-tool boundary is deliberately NOT the claim: fs/web/todo execute in-process where an `execve` wrapper is meaningless (§ In-process tools), and the cross-family boundary is staged follow-up work (§ Deferred phases). Without a shared vocabulary, every tool reinvents approval fields, denial parsing, retry matching, and permission-state hints.
The harness is an SDK, so confinement must be a capability developers COMPOSE: whether to sandbox, and which backend per platform, belongs in the leaf `cordis.yml` as a first-class entry — not inside one executor's private machinery. And the first-choice runner, `bwrap`, is unusable on exactly the hosts a sandbox matters most (minimal containers, disabled unprivileged userns, LSMs that deny `mount`), so a fallback runner has to ship with the SDK rather than be assumed on the host.
Confinement alone leaves two gaps. A denial with no escalation path is terminal — the model can only give up, which pressure-cooks operators into configuring `workspace-write` or `danger-full-access` globally and defeats the sandbox. And the model-visible knobs (the sandbox mode, the approval policy) change over an agent's lifetime — an ACP user flips a per-session setting, an operator edits `cordis.yml` while the process is down — while the model must never act on a stale belief about them: what IS the state on every request, what changed while the agent lives, and what changed while nobody was watching all need answers.
## Decision
One seam, one per-platform chain of local backends, one consumer, and two levers on top: a per-call escalation path and per-session runtime modes. Everything below composes from the leaf `cordis.yml`; nothing touches `agent-loop`. Cross-family fs enforcement and per-session workspace roots landed as follow-ups on the same policy carrier; the remaining phases — the `subagent-acp` consumer, more environments, and a Windows chain — stay under § Deferred phases.
### How a deployment uses it
Four `cordis.yml` entries turn an unconfined coding agent into the sandboxed product path; [`examples/acp-agent`](../../../../examples/acp-agent/README.md) uses this composition by default:
```yaml
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local' # the per-platform runner provider (ctx.sandbox)
- id: bash
name: '@deepseek-ai/dsh-bash-sandbox' # the confined executor, replacing dsh-bash-local behind ctx.bash
config:
mode: workspace-write # the deployment default every session starts from
workspaceRoot: !!js process.cwd() # the boundary workspace-write may write under
- id: approval
name: '@deepseek-ai/dsh-user-approval' # the escalation gate's channel (the approval Agent Note)
config:
policy: ask
- id: permission
name: '@deepseek-ai/dsh-permission' # one product-facing select over both mechanism knobs
```
The swap is invisible to every consumer of `ctx.bash`: the bash tools, hook commands, and background tasks run exactly as before, spawned through the wrapped argv the provider returns. Deleting the `sandbox` and `permission` entries and replacing `bash` with `@deepseek-ai/dsh-bash-local` is the opt-out — execution is unconfined again and the escalation fields vanish from the tool schema, because they are capability-gated on the mounted executor, not on configuration. Omitting only `approval` keeps confinement but fails every escalation closed with its own error text; `permission` also requires the approval seam and a confining executor, so a partially composed preset layer fails loud at load.
Misconfiguration fails loud: `mode` outside the closed vocabulary is rejected at plugin load, and a host with no usable backend throws the structured `SANDBOX_UNAVAILABLE` — at `confine()` before the command ever spawns — rather than degrading to unconfined execution. `runnerCommand` on `dsh-sandbox-local` is the operator's explicit assertion of a bwrap-compatible runner (chain and probes skipped); it doubles as the deterministic fake-runner seam for keyless tests.
Denied file effects return a `[sandbox: file access denied under <mode> mode]` marker and instructions not to work around the denial. A confining executor adds paired `sandbox_permissions` and `justification` fields for one approved retry that must be strictly wider than the session's effective mode. A grant widens only that retry; rejection executes nothing, returns `the user rejected escalating this command to "<mode>"`, and permits no re-ask. The prompt does not announce sandbox mode, avoiding preemptive refusal. When `dsh-permission` is composed, ACP exposes one `Permissions` select whose presets write both knob events; unmatched knobs appear as switch-away-only `custom`. Only a switch to the deterministic `'never'` approval policy is stated in the prompt and narrated.
### Design detail
#### Scope grounding
OS subprocess confinement applies to the bash executor, including hook commands, and later to ACP subagent children. Filesystem, web, and other tools execute in-process and require policy at their own seams; an argv wrapper cannot confine a function closing over `ctx`. The existing bash request/spec split carries per-call overrides, while `tools/pre-execute` and the approval seam own the human decision.
#### The seam: `ctx.sandbox`
`dsh-sandbox` owns the vocabulary and the `SandboxProvider` contract: `confine(argv, policy)` returns the argv to spawn INSTEAD of the caller's own — wrapped so the process and everything it spawns run confined — plus the `enforcement` completeness the selected backend achieves, its denial dialect (`denialSignatures`, the stderr substrings that backend's kernel prints on a denied file effect), and its runner-failure dialect (`runnerFailureSignatures`, how the runner ITSELF failing — and therefore the command never running — identifies itself); with no usable backend it throws the fail-closed `SANDBOX_UNAVAILABLE` error, never a silent unconfined passthrough. The vocabulary: `SandboxMode` (`read-only` / `workspace-write` / `danger-full-access`, FILE effects only — network and process visibility are not claimed), `SandboxEnforcement` (`full` / `partial`), `SandboxExecutionPolicy` (the complete per-capability-call mode + workspace root), and `SandboxPolicy` (the confined provider subset).
Policy rides each CALL, not the provider: two consumers may confine under different policies at the same instant (bash under `read-only` while a confined child agent keeps its state directory writable), and an approved escalated retry is a new call with a wider policy — inexpressible under a config-fixed provider mode.
The seam confines SAME-WORLD subprocesses only: a backend shares the host's filesystem and kernel. Containers, microVMs, and remote executors are NOT backends of this seam — they replace whole capability implementations (`ctx.bash`, `ctx.fs`) as environment-coherent groups, because an agent whose bash runs in a container while its fs tools write the host lives in two split worlds.
Left open, for the phase that needs them: whether network restriction arrives as a separate `network_mode` or merges into `sandbox_mode` once a runner enforces both, and whether `SandboxPolicy` grows extra writable-root grants now (the launcher already speaks `--rw <path>`) or only when escalation needs them.
#### Local backends and the shipped launcher
`dsh-sandbox-local` selects one platform runner per provider lifetime and caches the verdict. Linux functionally probes `bwrap` then Landlock; macOS uses Seatbelt. Unsupported platforms and unusable runners fail closed. Each wrap carries backend-specific denial and runner-failure signatures so `dsh-bash-sandbox` can distinguish a denied file effect from a broken sandbox. `runnerCommand` skips selection as an operator assertion of a bwrap-shaped runner, but missing or unexecutable commands still classify as sandbox failure and never run the payload unconfined.
The launcher is a ~300-line C program (plain C11 over the raw Landlock UAPI — no libraries beyond a statically linked musl, so the audit surface is that one file plus the kernel's stable syscall contract): `--ro <path>` / `--rw <path>` grants, `--`, the wrapped argv; it installs the ruleset on itself and `exec`s (rulesets are inherited across `execve`, and it sets `no_new_privs` before restricting); `--probe` enforces a maximal ruleset in a short-lived child and exits 0 only when the kernel actually enforces; launcher failures exit 125 without exec'ing.
The Landlock launcher source and package workspace live at `native/landlock-run`, next to the harness consumers. The standalone [`node-addon-landlock-run`](https://github.com/deepseek-harness/node-addon-landlock-run) repository is the release mirror used to pack and publish the npm package family; `native/README.md` owns the export procedure. Platform binaries are selected by npm, and the entry package owns path resolution, probing, and CLI flags while the harness maps sandbox modes to grants. Versioning the entry point with its binaries keeps probe parsing and launch syntax aligned.
Backend profiles share the mode contract but differ in necessary host grants. Landlock and Seatbelt allow only `/dev/null` in read-only mode; workspace-write also permits their required host temp roots. Each wrap carries backend-specific denial signatures. Landlock reports partial enforcement on older ABIs that cannot govern every operation, while successful bwrap and Seatbelt profiles report full enforcement.
#### The bash consumer
`dsh-bash-sandbox` extends `LocalBashExecutor` and hands `ctx.sandbox` the exact `['bash', '-c', command]` argv it is about to spawn. A denial is an orthogonal result fact, conservatively classified from the active runner's stderr dialect. A runner failure outranks denial: foreground execution throws `SANDBOX_UNAVAILABLE`; a settled `BashProcess` stamps `sandbox.runnerFailed`, and the bash producer renders it through generic `task_output`.
The model's view is result facts only: the static tool description explains the denial marker (`[sandbox: file access denied under <mode> mode]`), encourages attempting commands that may be denied, and forbids retrying around a denial; when the escalation fields are advertised, a denied result additionally carries the escalation hint itself, so the sanctioned same-turn retry is prompted at the decision point rather than depending on the model recalling the description (§ Escalation). No prompt section states the sandbox mode (§ Per-session modes).
#### Escalation: one approved wider retry after a denial
`BashExecRequest.sandboxPolicy` is an optional complete per-call input; resolved specs make the field explicit. `BashExecutor.sandboxMode` remains the capability fact advertising whether the mounted executor can honor that policy, so only a confining composition exposes escalation. The seam accepts any explicit policy; the tool owns session resolution and the wider-only escalation rule. Non-sandboxing executors remain honestly unconfined.
`ctx.sandboxPolicy.resolve()` stamps the complete execution policy — explicit escalation mode > session override > configured default, with `SessionHeader.cwd` > configured fallback root — before the executor runs. `SandboxBashExecutor.resolve()` retains that policy on the spec, or supplies the deployment fallback for a direct agentless caller, so `run()`/`start()` never read mutable session state. Per-process wrap facts are keyed by the returned `BashProcess`; `onProcessDone()` classifies stderr and stamps that handle before `done` resolves, so overlapping processes retain their own modes and runner dialects.
When a confining executor is mounted, `bash` advertises paired `sandbox_permissions` and `justification` fields. The schema exposes the full closed escalation vocabulary because effective mode is per-session; execution rejects any target that is not strictly wider than that call's effective mode. Approval resolves before execution. `allowed-once` stamps the granted mode onto only that request, while `rejected`, `cancelled`, `unavailable`, a missing approval service, or a missing agent all fail closed with distinct results. No grant is persisted.
Escalation is a same-turn retry of the denied command with the narrowest sufficient `sandbox_permissions` and a `justification`; the approval prompt is the consent step. It must be grounded in an actual denial, except when the session already observed the same denied access, and a disabled or rejected approval ends that command. The retry, approval decision, and result use existing tool and approval events. `dsh-tool-bash` owns the ask because the executor seam has neither the agent nor call id required for user interaction.
Left open: what a durable grant's scope identity is beyond the sandbox mode — exact call, path, command prefix, session, or time window — before an `allow_always` option can be advertised.
#### Per-session modes: the session log as the store
```
effective(session) = findLast(the session's own knob events)?.value ?? the composition-config default
```
The default is composition config (`cordis.yml`) — operator-owned, process-wide. A runtime switch is a SESSION-SCOPED override recorded as one log-only event in that session's own log. Restart immunity (resuming a session replays its log, so overrides come back with zero catch-up machinery) and multi-session isolation (one editor tab's `workspace-write` cannot disturb another's `read-only`) both fall out by construction, and no external config store exists anywhere.
**One event per knob, owned by its domain** — the merge-extensible `SessionEventMap` idiom every existing event family already follows (`approval/*` in `dsh-user-approval`, `hook/*` in the hooks packages):
```ts
interface SessionEventMap {
'sandbox/mode': { mode: 'read-only' | 'workspace-write' | 'danger-full-access' }
'approval/policy': { policy: 'ask' | 'never' }
}
```
Each owner exports the same three-piece kit: the event declaration, a pure fold (`effectiveSandboxMode(events)` / `effectiveApprovalPolicy(events)` — a `findLast`, typed to the domain's closed union), and THE write path (`setSandboxMode(session, mode)` / `setApprovalPolicy(session, policy)` — a switch IS its event; nothing mutates state out of band). No shared owner service, no generic facts map, no registry: a third knob copies the ~40-line pattern into its own package. Execution follows the fold on both sides — the bash tool's per-call stamp reads it as the middle rung of the § Escalation precedence chain, and the approval seam's `'never'` gate is [the approval Agent Note](2026-07-06-approval-seam.md)'s side of the same pattern.
Sandbox mode is not narrated in the prompt; denial results report the mode when it matters, avoiding preemptive refusal based on a standing label. Approval policy is different: only `'never'` is stated because automatic rejection otherwise looks like a user decision. Policy-change notices are coalesced and delivered by the next pre-step, with log-derived fallback after restart. The notice source is inferred from event position: a knob event after the last request header is user-driven; unlogged drift is operator or config driven.
**The editor surface** is protocol-native [Session Config Options](https://agentclientprotocol.com/protocol/session-config-options) — the spec's replacement for session modes (slated for removal in ACP v2), already SDK-typed. When `ctx.permission` is composed, the bridge advertises one `permission` select (category `mode`) in `session/new` and `session/load`; its options are the deployment's preset table, and its `currentValue` is `PermissionService.current()` over the session log plus composition defaults. The shipped `workspace-write` and `danger-full-access` presets each bundle a sandbox mode with an approval policy and write through to both domain setters; a knob combination outside the table is reported as switch-away-only `custom`. `session/set_config_option` validates and switches through the permission service, then returns the complete refreshed state (the spec contract).
**Turn enclosure is the commit boundary.** A switch during an open turn appends immediately. An idle switch remains pending on the bridge record and is appended at the next prompt submission, before assembly or execution; last write wins per knob. Openness comes from log boundaries rather than `agent.status`, and setters do not append from inside a `session/event` listener because that would reorder later observers. Until anchoring, responses overlay the pending value. A crash discards it, and reload returns the durable fold.
#### In-process tools
fs/web/todo execute in-process, so their sandbox semantics are policy at their seams. The fs seam now enforces the shared mode vocabulary through a sandboxed provider (`dsh-fs-sandbox` fences write/edit by mode; see [the cross-family fs sandbox RFC](2026-07-14-cross-family-fs-sandbox.md)), so `read-only`/`workspace-write` are real boundaries for the filesystem tools, not a bash-only approximation. web/todo remain unfenced (web's only effect is network, outside the file-effect mode vocabulary). No generic per-tool sandbox runtime: a host-mediated tool leaves the process only by returning declarative effects the host validates, which is a rewrite, not a wrapper — the follow-up settled on one shared policy home (`ctx.sandboxPolicy`) with per-seam enforcement, not a uniform wrapper.
### Testing
- **Unit:** pin platform selection and profiles, fail-closed runner classification, per-call mode/root resolution, per-process facts, escalation validation and outcomes, permission preset folding and write-through, narrator coalescing, ACP advertisement and validation, and turn-enclosed config writes.
- **Keyless real-runner:** exercise bwrap, Landlock, and Seatbelt against real filesystem effects at provider and bash-consumer layers; one real Cordis context concurrently drives two project sessions through shipped bash and fs tools, proving own-root success and sibling-root denial. Packed-install coverage proves the registry launcher remains executable. The real ACP composition pins permission switching and rejects unknown presets. CI rejects a silent all-skip.
- **With-key:** drive a real model, runner, bridge answerer, and disk effect through granted and rejected escalation; unavailable credentials or runners self-skip.
- **Snapshot:** pin the permission config-option wire, preset and knob events, prompt deltas and notices, and both scripted approval branches. A real ACP example scenario places its session under the user home while the deployment fallback points at `/tmp`, then pins a successful workspace-write mutation; this distinguishes session-root resolution from the process fallback without depending on runner-specific denial text. Other snapshots start unconfined so unrelated fixtures remain platform-independent, and policy scenarios switch explicitly.
## Deferred phases
Each phase gets its full design when picked up, validated against the code at that time, and lands with unit, real-API e2e, and snapshot coverage at the tiers it touches.
- **Second consumer** — `subagent-acp` optionally confines child agents (per-call policy; unconfined default — a child agent must write its own persistence).
- **More environments** — an environment-coherent capability group example (e.g. bash+fs against one container).
- **Windows chain** — `PLATFORM_CHAINS.win32` is reserved and empty (fail-closed); filling it means a confinement runner from the AppContainer/restricted-token family, shipped from its own repository on the `node-addon-landlock-run` template, plus its profile dialect and denial/runner-failure signatures.
## Alternatives considered
- **Command-string heuristic preflight** — rejected: cannot understand expansion/subprocesses/symlinks; the strict attempt (run it, let the kernel decide) is the only trustworthy denial signal.
- **Functionally probe even a platform's sole backend** — rejected: probing arbitrates between candidates; with one there is nothing to decide, and probe cost taxes the first confined command of every session (prohibitive for heavy future backends). The runner's own exec-time fail-closed refusal plus `runnerFailureSignatures` classification carries the safety property instead.
- **Commit the built launcher binaries** — rejected: a binary in a diff is unreviewable and churns history; reviewed source + native CI builds + the launcher repo's byte-pinned publish rehearsal keep bytes out of every tree.
- **Compile the launcher on install** — rejected: pushes a C toolchain onto every consumer; a fallback that exists only where a compiler happens to be is not a fallback.
- **Cross-compile both architectures from one builder** — rejected: requires carrying a pinned cross toolchain (rustup targets, zig, or a container image) solely to rebuild two ~70 KB binaries; per-architecture native runners already exist and each builds its own platform package (the `node-addon-require-builtin` model, the launcher repo's own pipeline).
- **No fallback (bwrap or fail closed)** — rejected: concentrates failure on the hosts a sandbox matters most, degrading to `danger-full-access` by resignation.
- **Keep the mechanism inside `dsh-bash-sandbox`** — rejected: blocks the existing second consumer, makes future phases read mode out of a bash plugin's config, and cannot express escalation.
- **Config-fixed mode on the provider** — rejected: one mode per process; cannot serve concurrent consumers with different policies nor the one-shot widened retry.
- **One interface spanning containers/VMs too** — rejected: `confine(argv)` presupposes a shared filesystem; environment isolation is capability-sibling backends deployed as coherent groups.
- **Generic ToolRuntime wrapping any tool** — rejected: mechanically false for in-process tools (closures over `ctx`); the declarative-effects rewrite is unjustified for fs/web/todo.
- **Ask inside the executor (`dsh-bash-sandbox`)** — rejected: no `agent` to route through, no `callId` to attach the prompt to; adding them teaches a transport seam about sessions and UIs — the tool layer holds both and owns the model-facing vocabulary.
- **Auto-retry inside the same tool call** — rejected: a hidden re-entry the log cannot reconstruct: one `tool/call` would have produced two executions with different policies — the retry is a NEW logged call with its own arguments and result facts.
- **Advertise the escalation fields unconditionally** — rejected: under `dsh-bash-local` they are a dead lever — advertising an option the harness cannot honor manufactures doomed grants; capability-gating costs one registration-time read.
- **A default-relative escalation ladder (advertise only the modes wider than the executor's registration-time default)** — rejected: per-session overrides make the default the wrong baseline — a session switched narrower than the default loses exactly the lever it needs, and under a `danger-full-access` default the fields vanish entirely while a `read-only`-overridden session stays confined with no escalation path. The enum pins the closed target vocabulary; strict widening is a per-call execution check against the session's effective mode.
- **Per-session dynamic tool schemas** — rejected: schemas are registry-global by design (one assembly vocabulary, the pinned-header snapshot contract), and re-registering per session would buy only what the execution-time strict-wider check already guarantees, at the cost of a per-session schema surface and header churn on every switch.
- **Hard-match the retry to a prior denial** — rejected: command-string identity is fragile (quoting, `workdir`, env prefixes, a pipeline retried as its failing stage) — false-rejects honest retries or is trivially satisfied; the real boundary is the human seeing command + justification. Revisit only if `allow_always` grant storage ever needs machine-checkable scopes.
- **A generic `env/state` facts map with an owner service** — rejected: approval and sandbox compose independently, so neither's state may drag in a third package; single-key folds are one `findLast` each, dissolving the owner service; no invariant spans the knobs, so atomic multi-key patches bought nothing.
- **Narrate via `agent/user-message` + a bus event** — rejected: it presupposes a turn-entry seam that does not exist (the real seam is `agent/prompt-submit`), and pre-step's position serves both the coalesced turn-entry notice and the mid-turn immediacy bound with one listener.
- **A standing prompt statement of the sandbox mode (+ a switch narrator)** — shipped first, then removed on live evidence: with `Bash commands run under the "read-only" file sandbox.` in every request, the model refused to ATTEMPT denied-then-escalatable work (five of twelve turns in the first manual session ended with zero tool calls), turning the sandbox into a soft lockout. The denial marker names the mode at the moment it matters and the escalation fields carry the recovery; the approval knob keeps its statement because an auto-rejection is behaviorally indistinguishable from a human "no".
- **Track "last told" with its own bookkeeping events** — rejected: the `request/header` fold already records the exact prompt the model saw; parsing the closed candidate sentences back replaces a second bookkeeping stream — events are needed only where they ARE the store.
- **ACP session modes instead of config options** — rejected: the preset is already one deployment-defined config-option select, and modes are slated for removal in ACP v2.
## Consequences
What shipped pins — the tiers in Testing hold each:
- A denied command retried with `sandbox_permissions` + `justification` prompts the user through the composed answerer chain; a grant runs THAT call under the wider mode (result facts say so) while every other call keeps its own effective mode; every non-grant outcome produces its distinct error text and executes nothing.
- The escalation fields exist exactly when the mounted executor confines; a request that is not strictly wider than the call's effective mode fails closed with its own text and prompts no one; a deployment with no ApprovalService fails escalating calls closed and leaves plain calls untouched.
- The system prompt never states the sandbox mode (an approval `'never'` policy is the one stated knob), and the whole exchange — headers, knob events, notices, approvals, results — reconstructs from the session log alone, with no event types beyond the two knob events.
- N idle-time flips produce at most one anchored event per knob (a net-zero sequence anchors none — a no-op push from a client echoing current selections records nothing); an approval-policy switch is narrated in at most one coalesced notice; a mid-turn sandbox switch is honored by the next call's stamp.
- A resumed session's overrides apply and are reported to the editor with no special-casing; a default changed while the process was down is narrated before the session's first new request, attributed to the operator.
- Two concurrent sessions never see each other's state, notices, or config options.
- Two concurrent project sessions in one Cordis context resolve independent workspace roots; bash and fs writes succeed inside the calling session's cwd and fail against its neighbor's cwd.
- `agent-loop` is untouched — everything rides `systemPrompt.section`, `SessionEventMap` merging, `agent.inject()`, `agent/pre-step`, `agent/prompt-submit`, and the ACP handler surface.
Costs and accepted limits:
- **The one-wrapper illusion is given up knowingly.** A `tools/pre-execute` wrapper plus prompt conventions does not solve sandbox approval — the correct design costs structured denials, native runner probes, per-call policy carriage, and consistent cross-family enforcement, and this design pays it.
- **`read-only` became a cross-family boundary through a follow-up.** This RFC shipped bash-only enforcement; the [cross-family fs sandbox RFC](2026-07-14-cross-family-fs-sandbox.md) extends the same mode vocabulary to the filesystem tools through a sandboxed `ctx.fs` provider and relocates the mode/root config and the `sandbox/mode` override to `ctx.sandboxPolicy` (§ In-process tools).
- **Windows has no backend.** Its chain slot is reserved empty — fail-closed, never a fallthrough; filling it is a deferred phase.
- **The Seatbelt rung leans on Apple's deprecated-but-shipped `sandbox-exec` CLI.** As darwin's sole candidate it is selected without probing, so a future removal surfaces at execution as the runner-failure classification — re-thrown `SANDBOX_UNAVAILABLE`, the command never runs; fail closed, never open.
- **Landlock confinement is only as complete as the running kernel's ABI.** Reported as `enforcement: 'partial'` rather than refused — the deliberate trade that keeps the fallback available on older-kernel hosts.
- **The launcher arrives as a registry dependency.** Trusted through its own repository's release pipeline (reviewed C source, native CI builders, byte-pinned publish rehearsal) plus this repo's version pin — the real-kernel e2e legs are what vouch for behavior through the installed bytes.
- **The model may over-ask.** Escalating without denial grounding, or picking `danger-full-access` where `workspace-write` suffices: the description steers and the enum forces the ladder, but the human prompt is the actual gate; the `approval/asked` reasons make over-asking auditable, and a `prepend` policy answerer can auto-reject patterns a deployment never wants.
- **The advertised target set is static while the effective mode is per-session** (schemas are registry-global) — a session already at the widest mode is still offered the fields. Harmless by construction: the strict-wider check at execution, not the enum, is the safety boundary — a non-widening request fails with its own text and never prompts anyone.
- **A granted escalation is not a working sandbox.** An unavailable backend still fails closed even for a granted escalation to a confining mode — at `confine()` when the platform has no chain or every probe fails, at execution when an unprobed sole runner refuses (classified as a sandbox failure, not a command failure) — while a granted `danger-full-access` run never touches the provider at all: there the grant, not the probe, is the authority.
- **An idle switch lives in bridge memory until the next prompt submission anchors it.** A crash in that window reverts it (reported on `session/load`), and a session that never submits another prompt never persists it — accepted, with a loop-owned idle commit turn left as future work if durability becomes required.
- **The approval narrator's restart baseline parses prompt prose.** The closed candidate sentence is owned by the writing module itself, so a wording change is a coordinated writer+parser edit in one file; a session whose headers predate the section silently adopts the current policy without a notice.
- **The approval section is still a dynamic prompt surface** (a `'never'` switch breaks provider prompt-prefix caching for that session). Accepted: policy switches are rare, and a model acting on a stale `'never'` is worse. The sandbox knob no longer touches the prompt at all.
- **The model may hold a stale belief about the sandbox mode** (nothing announces a switch). Accepted deliberately: the next attempt's marker or success corrects it, and the observed failure mode of announcing — preemptive refusal — is worse than one wasted retry.
## FAQ
- **A command came back with `[sandbox: file access denied under read-only mode]` — did it fail?** It RAN, and the kernel refused a file effect: the denial is a result fact orthogonal to exit code. The teaching forbids retrying around it; the one sanctioned move is the same command retried once with an escalation request.
- **How is a BROKEN sandbox told apart from a failing command?** Runner failure outranks denial in classification: a failed run matching the wrap's `runnerFailureSignatures` means the command NEVER ran — foreground re-throws the structured `SANDBOX_UNAVAILABLE` with the runner's stderr line, a background task stamps `sandbox.runnerFailed` and renders its own marker. A broken sandbox can never read as a failing command, and the command never runs unconfined.
- **What happens on a platform with no backend — Windows today?** `confine()` throws the fail-closed `SANDBOX_UNAVAILABLE` and the command never spawns; `win32` is a reserved EMPTY chain, pinned by test to fail closed identically until a Windows runner fills it (§ Deferred phases).
- **`bwrap` is installed on my host but unusable (disabled unprivileged userns, an LSM denying `mount`) — what happens?** The chain probe is functional — it builds and enforces a real profile rather than checking `--version` — so a present-but-unusable `bwrap` fails its probe, selection falls to the registry-installed Landlock launcher, and the verdict is cached for the provider's lifetime.
- **Does the sandbox restrict network or process visibility?** No — `SandboxMode` claims FILE effects only; the bwrap profile deliberately does not unshare pid, and no backend claims network. Whether network restriction becomes its own knob is left open in § The seam.
- **Which tools actually run confined?** OS subprocesses through `ctx.bash` — the bash tools, and hook commands transitively — plus the filesystem tools (`read`/`write`/`edit`) through the sandboxed `ctx.fs` provider (the [cross-family fs sandbox RFC](2026-07-14-cross-family-fs-sandbox.md)): bash confines via the OS runner, fs via an in-process path fence, both keying off the same `ctx.sandboxPolicy` mode. web/todo stay in-process and unfenced (web's only effect is network, outside the file-effect mode vocabulary).
- **Does a granted escalation persist?** No. The grant is consumed by the exact foreground or background call that asked; every neighboring call keeps its own effective mode. A later background denial surfaces through `task_output` and may ground a new exact-command retry.
- **When does an editor's mode switch take effect?** Mid-turn: appended immediately, honored by the very next call's stamp. Idle: held on the bridge's session record, anchored at the next `agent/prompt-submit` inside its open turn, with N flips coalescing to at most one event (none if net-zero); a crash before anchoring reverts it and `session/load` reports the truth. The model is not told — its next command simply behaves under the new mode.
- **What survives a restart — and what if the operator changed the config default while the process was down?** Overrides replay from the session log (`effective = fold ?? config`), so a resumed session keeps its modes with zero catch-up machinery; a default that drifted offline changes behavior the same way a switch does (the approval policy, being stated, is additionally narrated with operator/config attribution).
- **What does `enforcement: 'partial'` on a result mean?** The selected backend enforces the subset its kernel ABI governs — e.g. Landlock before ABI v3 does not govern path truncate — and says so structurally instead of refusing the host; the probe's report line distinguishes the cases. The bwrap and Seatbelt profiles govern every promised file effect by construction, so they always report `full`.
## Prior art
In-repo precedents this design copies or contrasts with:
- [The capability-seams Agent Note](../architecture/2026-06-13-capability-seams.md) — the interface/implementation/consumer split and the "don't split preemptively" timing rule the second consumer satisfied.
- The `dsh-bash` request/spec split ([the bash vocabulary catalog](../../../../docs/core-data-structures/bash.md)) — the complete `sandboxPolicy` rides its per-call carrier, and the explicit-`resolve()` defaulting convention.
- [The approval seam Agent Note](2026-07-06-approval-seam.md) — the channel escalation asks through; its answerer waterfall, audit pair, and one-package rationale are recorded there.
- [Event-sourced sessions](../architecture/2026-06-11-event-sourced-sessions.md) and [the turn-enclosure invariant](../architecture/2026-06-15-turn-enclosure-invariant.md) — the log-as-store foundation the per-session modes fold over, and the commit boundary the anchoring design obeys.
- [The interception-seams Agent Note](2026-06-30-interception-seams.md) — the `tools/pre-execute` vocabulary the escalation gate deliberately does not reuse (an escalating call has no pre-execute moment of its own).

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# Agent Note: MCP client plugin — connect to external MCP servers and bridge their tools
Status: implemented
## Problem
The harness had no way to consume tools from the MCP (Model Context Protocol) ecosystem. MCP is the emerging standard for tool servers — GitHub, filesystem, databases, code search, and hundreds of community servers expose tools via MCP. Users want to point the harness at one or more MCP servers and have their tools appear as native model-facing tools, without writing per-server glue code.
The `ToolRegistry` already accepts raw JSON Schema tool definitions (documented in `dsh-tools` README: "Raw JSON-Schema tool definitions (from MCP servers) are still accepted by `ToolRegistry.register()` directly"), and the extension cookbook sketches the intended pattern ("MCP | one plugin per server: discover tools → `ctx.tools.register()`"). The infrastructure was ready; the bridge plugin was missing.
## Decision
### Package
A single package `@deepseek-ai/dsh-mcp-client` at `packages/mcp/mcp-client/`. No capability-seam three-package split — there is no foreseeable second MCP client implementation, and the convention is "don't split preemptively" ([capability seams Agent Note](../architecture/2026-06-13-capability-seams.md)).
### SDK
Use the official [`@modelcontextprotocol/sdk`](https://github.com/modelcontextprotocol/typescript-sdk) (`Client`, `StdioClientTransport`, `StreamableHTTPClientTransport`). The harness does not implement its own JSON-RPC — consistent with how ACP delegates to `@agentclientprotocol/sdk`.
### Scope
MCP Client only (no server side — ACP already covers the "expose harness as an agent" role). Bridge **Tools** only — Resources and Prompts are deferred (they require harness-side consumption mechanisms that don't exist yet, and design space is large).
### Plugin shape
Namespace plugin (named exports `name`/`inject`/`Config`/`apply`, no `export default`). `inject: ['tools']`. Each MCP server is one plugin instance in `cordis.yml` — the same package loaded N times with different configs, like `dsh-tool-subagent`.
### Configuration
Flat discriminated union on the `transport` field:
```typescript
interface StdioConfig {
transport: 'stdio'
serverName: string // required namespace, ^[A-Za-z0-9_-]{1,32}$
command: string
args?: string[]
env?: Record<string, string>
cwd?: string
toolCallTimeoutMs?: number // default 60_000
}
interface StreamableHttpConfig {
transport: 'streamable-http'
serverName: string // required namespace, ^[A-Za-z0-9_-]{1,32}$
url: string
headers?: Record<string, string>
toolCallTimeoutMs?: number // default 60_000
}
type Config = StdioConfig | StreamableHttpConfig
```
`serverName` is the stable local identity that namespaces this server's tools in the model-facing name (below). It is deliberately user configuration, NOT the remote `serverInfo.name`: the remote name is untrusted input, is not unique across deployments (prod and staging instances of one server report the same name), and may change on server upgrade — none of which may silently rename model-facing tools. A duplicate `serverName` across live instances is a configuration error: the later instance fails at load with an actionable message, never silent shadowing or skipping. A short `serverName` (`gh`) is also the knob for shortening public names.
Example `cordis.yml` usage:
```yaml
- id: mcp-github
name: '@deepseek-ai/dsh-mcp-client'
config:
serverName: github
transport: stdio
command: npx
args: ['-y', '@modelcontextprotocol/server-github']
env:
GITHUB_TOKEN: !!js process.env.GITHUB_TOKEN
- id: mcp-web
name: '@deepseek-ai/dsh-mcp-client'
config:
serverName: web
transport: streamable-http
url: http://localhost:3000/mcp
headers:
Authorization: !!js `Bearer ${process.env.MCP_TOKEN}`
```
The model sees `mcp__github__create_issue`, `mcp__github__search_code`, `mcp__web__search`.
### Lifecycle
Boot-time from `cordis.yml`. HMR (`@cordisjs/plugin-hmr`) provides hot-swap: editing the yml entry triggers dispose of the old instance (disconnects, unregisters tools) and creation of a new one (connects, discovers, registers). No runtime-dynamic API for now. Public names are pure functions of `(serverName, rawName)`, so an HMR swap that keeps `serverName` recreates identical model-facing names — session history and permission rules stay valid — and adding or removing an unrelated server never renames an existing tool.
### Tool discovery and registration
Every MCP tool has two names:
- `rawName` — the exact MCP `Tool.name`, used only on the wire (`tools/call`).
- `publicName` — the globally unique model-facing name registered in the `ToolRegistry`:
mcp__<serverName>__<rawName>
This server-qualified shape is the de-facto standard among multi-server agent clients — every surveyed end-user product qualifies MCP tools by server ([Claude Code](https://code.claude.com/docs/en/agent-sdk/mcp#tool-naming-convention) `mcp__github__list_issues`, [Codex](https://openai.com/index/unrolling-the-codex-agent-loop/) `mcp__weather__get-forecast`, [Gemini CLI](https://geminicli.com/docs/tools/mcp-server/#3-tool-naming-and-namespaces), [VS Code](https://github.com/microsoft/vscode/blob/ab9ec62c6a61e429a9abd612ff220c3f4834c9ea/src/vs/workbench/contrib/mcp/common/mcpServer.ts#L217-L260), [Cline](https://github.com/cline/cline/blob/52fdbb1d72f7324a28142a7ba7678d4b53c902f4/sdk/packages/core/src/extensions/mcp/name-transform.ts#L20-L35), [Roo Code](https://github.com/RooCodeInc/Roo-Code/blob/b867ec9145750d0ae1ff7f02d35406e9bf2a0b16/src/utils/mcp-name.ts#L117-L140), [Goose](https://github.com/block/goose/blob/b3a012cbdde854b0fe14f95b1c48543bf6517c0a/crates/goose/src/agents/extension_manager.rs#L1391-L1441), [OpenCode](https://github.com/anomalyco/opencode/blob/d199b1bff90282a4f9cd6251b5fc7b16875a52f6/packages/opencode/src/mcp/catalog.ts#L117-L120)); the exact `mcp__<server>__<tool>` spelling follows Claude Code and Codex. The `mcp__` marker keeps MCP registrations out of the native tools' namespace and gives permission/telemetry rules a stable shape (`mcp__*`, `mcp__github__*`).
1. On connect: drain `client.listTools()` pagination, derive every tool's `publicName`, then register each as a raw `ToolDefinition` via `ctx.tools.register()`. The MCP JSON Schema and description pass through unchanged (no `defineTool` DSL conversion); only the model-facing `name` is replaced.
2. Listen for `notifications/tools/list_changed` → re-run the same sync (dispose previous generation, register new). Deterministic names mean unchanged tools keep their names across re-syncs.
3. The executor closes over `rawName`; the public name is never sent to the server and never parsed to recover the raw name.
4. No `presentCall`/`presentResult` — the ACP bridge's generic-card fallback handles rendering.
5. Tools are transparent in the system prompt — no "[via MCP]" annotation beyond the name itself.
### Public name normalization
MCP allows tool names up to 128 characters including `.`; the DeepSeek function-name contract allows `[A-Za-z0-9_-]` and at most 64. Public names are normalized deterministically: invalid characters become `_`, and when replacement or truncation changed the name, a 12-hex-char SHA-256 hash of the `(serverName, rawName)` identity is appended so distinct MCP identities can never collapse into the same public name:
```typescript
function publicToolName(serverName: string, rawName: string): string {
const joined = `mcp__${serverName}__${rawName}`
const normalized = joined.replace(/[^A-Za-z0-9_-]/g, '_')
if (normalized === joined && normalized.length <= 64) return normalized
const hash = sha256(`${serverName}\0${rawName}`).slice(0, 12)
return `${normalized.slice(0, 64 - 13)}_${hash}`
}
```
### Name conflict handling
MCP guarantees tool-name uniqueness only [within one server](https://modelcontextprotocol.io/specification/2025-11-25/server/tools#tool-names); cross-server collisions are the norm, not the exception (a [Microsoft Research survey](https://www.microsoft.com/en-us/research/blog/tool-space-interference-in-the-mcp-era-designing-for-agent-compatibility-at-scale/#namespacing-issues-and-naming-ambiguity) of 1,470 servers found 775 colliding tool names; `search` alone appears in 32 servers, and the official GitHub server publishes bare `create_issue`). The always-on namespace makes collisions structurally impossible instead of handling them at collision time:
- Two servers publishing `search` coexist as `mcp__github__search` and `mcp__web__search`.
- A native harness tool named `search` is unaffected.
- Duplicate `serverName` config fails the later instance at load (see Configuration).
- A server listing the same tool name twice is an invalid tool list: the sync throws and the previous generation stays registered.
- A registry conflict during the swap can only mean a foreign tool squats on this server's `mcp__<serverName>__` namespace: the partial generation is rolled back (zero tools from this server) and the error is logged loudly.
Tools are never silently skipped; which tools are available never depends on plugin load order.
### Naming invariants
1. Every MCP tool has the stable identity `(serverName, rawName)`; every active identity has exactly one public name.
2. Public names are deterministic, globally unique, and satisfy the DeepSeek 64-char `[A-Za-z0-9_-]` contract.
3. MCP `tools/call` always receives the original raw name.
4. Connecting, disconnecting, or re-syncing an unrelated server never renames an existing tool.
5. Registration order never determines which tool is available.
### Tool execution
A unified `execute` handler for all tools from one MCP server:
1. Resolve `rawName` (the executor closes over it) and call `client.callTool({ name: rawName, arguments }, { signal: exec.signal })` with the configured timeout — the public name is never sent to the server.
2. Map the result:
- Multiple `text` content blocks → join with `'\n'` into a single `TextBlock` (required: `flattenText` uses `join('')` without separator, so multiple blocks would lose inter-block boundaries).
- `image` content blocks → discard with a `ctx.logger.warn` (the harness has no image content block type; [drop-image Agent Note](../simplification/2026-07-04-drop-image-content-block.md)).
- `isError: true` → map to the harness `isError` result path (`{ content: [...], isError: true }`).
3. Cancellation: `exec.signal` (from the agent loop's cancel) is passed through to the MCP SDK's `callTool`, which sends `$/cancelRequest` to the server.
### Subprocess environment (stdio transport)
Replicate the `buildChildEnv` + `SENSITIVE_ENV_PATTERN` scrub from `dsh-subagent-acp`: filter ambient env (strip credential-shaped vars matching `/KEY|SECRET|TOKEN/i`), then merge `config.env` on top. Explicit env overrides survive the scrub.
### Disconnection / crash
No auto-reconnect. If the MCP server process exits or the transport closes:
1. The effect disposes → all registered tools are unregistered (fiber-scoped disposers).
2. Subsequent model calls to those tools → `ToolNotFoundError` → `isError: true`.
3. Recovery: user edits `cordis.yml` (triggers HMR reload) or restarts the harness.
This matches the ACP subagent pattern: "crash = terminal, report error, clean up, don't retry."
## Alternatives considered
### MCP Server side (expose harness tools to external MCP clients)
Deferred. The ACP bridge already exposes the harness as an agent server. Adding an MCP server layer would duplicate that with a different protocol, and the primary user need is consuming external tools, not exposing them.
### Capability-seam three-package split (interface / impl / consumer)
Rejected. There is no foreseeable alternative MCP client implementation — MCP has one protocol, one SDK. The convention is "don't split preemptively" until a second implementation appears.
### Auto-reconnect with exponential backoff
Rejected for v1. Adds complexity (partial-availability state where tools are registered but temporarily non-functional), and stdio process crashes usually indicate a configuration problem that retrying won't fix. HMR already provides the manual recovery path. Can be added as a future `reconnect: boolean` config if needed.
### Bridge Resources and Prompts
Deferred. Resources need a harness-side mechanism to decide WHEN to inject content (system prompt? on demand? model-triggered?). Prompts need a "prompt template" concept the harness lacks. Both require their own design; Tools are the high-value, low-risk starting point.
### Raw model-facing tool names with an optional `toolPrefix`
Rejected — this was the original proposal, built on the premise that "most MCP servers already use semantic prefixes in their tool names (e.g. `github_create_issue`)". The premise is false: the official GitHub server publishes `create_issue`, the reference filesystem server `read_file`, Sentry `search_issues` — and the Microsoft survey above shows collisions are common at ecosystem scale. Collision-time prefixing (or warn-and-skip) also makes the available tool set depend on plugin load order, and a tool could be silently renamed when an unrelated server is added — invalidating session history and permission rules mid-conversation. No surveyed multi-server agent product ships raw names.
### Server-only namespace (`github__create_issue`, no `mcp__` marker)
Rejected for v1. It prevents cross-server collisions but does not separate MCP registrations from native harness tools, and it forfeits MCP-wide policy shapes (`mcp__*`). The marker costs 5 characters; the `mcp__<server>__<tool>` spelling matches Claude Code and Codex, maximizing model familiarity. If the ToolRegistry later grows source-aware namespaces, dropping the literal marker can be revisited as a naming-policy change.
### Deriving the namespace from the server-announced `serverInfo.name`
Rejected. The remote name is untrusted, non-unique across deployments, and changeable on upgrade; tool identity and permission rules must not silently follow it. The namespace is local configuration.
### Preserve multiple TextBlocks in tool result
Rejected. `flattenText()` in the DeepSeek serializer uses `join('')` (no separator) when flattening `ContentBlock[]` to wire format. Multiple text blocks would silently lose inter-block boundaries — a correctness bug. All existing tools return a single TextBlock; the MCP bridge follows suit.
## Testing
Coverage is named per tier; each behavior lives at the cheapest tier that can express it.
- **Unit** (`tests/mcp-client.spec.ts`, `tests/apply.spec.ts`, mocked MCP SDK): the `publicToolName` algorithm (clean, normalize, truncate-and-hash, determinism, distinct-identity separation), raw-vs-public wire discipline, cross-server and native-tool coexistence, duplicate-`serverName` load failure and reservation release, invalid-tool-list rejection, generation swap/rollback, failed-re-sync retention, result mapping, cancellation, config schema validation. 100% per-file coverage gates the package.
- **E2E** (`tests/mcp-client.e2e.ts`, keyless): the real MCP protocol against the in-repo fixture server, `@modelcontextprotocol/server-everything`, and `@modelcontextprotocol/server-filesystem` over stdio, and against an in-process `StreamableHTTPServerTransport` server over Streamable HTTP — discovery under the namespace, dotted-name normalization end to end, execution round-trips, duplicate-`serverName` rejection, disposal.
- **Snapshot**: deliberately none. MCP tools introduce no new transcript surface — they register as raw `ToolDefinition`s and render through the ACP bridge's generic-card fallback, which the bridge's unit suite already pins (`packages/ui/acp/tests/stream-update.spec.ts`). Adding an MCP server to the snapshot example's `cordis.yml` would mutate the pinned `text-turn` system-prompt fixture (forcing a with-key re-record of every recorded expected output) and make every replay depend on spawning an external MCP server process — for zero new rendering behavior. If a later change gives MCP tools their own render intent, that change names its snapshot coverage then.
## Consequences
- A `cordis.yml` entry per MCP server is the entire integration cost: `serverName: filesystem` + a stdio command (or a Streamable HTTP URL) puts `mcp__filesystem__read_file` in the model's tool list, callable, with the raw `read_file` on the wire.
- Public names are part of session history and permission/config surfaces; the naming algorithm is a v1 contract pinned by tests, and changing it after release is a breaking change.
- The `mcp__<serverName>__` qualifier costs tokens on every name. Accepted: descriptions and JSON schemas dominate tool-definition tokens, and the qualifier buys stable identity, collision isolation, and MCP-wide policy shapes (`mcp__*`, `mcp__github__*`).
- **MCP SDK stability**: the `@modelcontextprotocol/sdk` is still evolving; breaking changes require updating the bridge. The version is pinned, and the SDK is widely adopted (Claude Desktop, Cursor, VS Code) so breaking changes are unlikely to be silent.
- **Tool schema quality**: MCP servers may expose poorly-described tools (vague descriptions, incomplete JSON schemas). The harness passes them through as-is — garbage-in-garbage-out; that is the server author's responsibility, not the bridge's.
- **Stdio process management**: a misbehaving MCP server that ignores signals could wedge dispose. The Cordis fiber disposal has bounded quiescence; a stuck transport eventually times out at the framework level.
- Crash recovery is manual (HMR edit or restart) — accepted for v1; a `reconnect` config remains open as future work.

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# Agent Note: Plan mode — a logged per-agent session mode
Status: implemented
> **Superseded vocabulary (2026-07-22):** [Collapse named session modes into plan mode](../simplification/2026-07-22-plan-specific-collaboration-state.md) replaces this note's generic `dsh-mode`, `mode/set`, definition map, and `ctx.modes` design with the current plan-specific `dsh-plan-mode`, `plan/mode`, `{ section }`, and `ctx.planMode` contract. The review, boundary, reconstructability, and sandbox-orthogonality decisions below remain in force; generic API examples are retained as the historical design this simplification removed.
## Problem
Before this change, the harness had no durable way to put one agent into a distinct working stance. Plan mode needs the agent to explore and design under planning guidance, produce a reviewable artifact, cross an explicit approval boundary, and restore that state across resume and fork without making the model-visible request diverge from the session log.
The extension seams already supplied the surrounding pieces: [`system-prompt/assemble`](../../../../packages/core/system-prompt/README.md) shapes guidance per step and the shipped request is logged in `request/header*` events ([reconstructability](../../implemented/architecture/2026-07-05-reconstructable-requests.md)); [`ctx.userInteraction`](../../../../packages/ui/user-interaction/README.md) carries the approval question and corrective feedback ([ask-user precedent](../../implemented/feature/2026-06-25-ask-user-question.md)); `SessionEventMap` carries durable per-agent facts ([the `todo/write` precedent](../../implemented/feature/2026-06-29-todo-write-tool.md)). The missing piece was the named session state that joins those seams while leaving execution enforcement on the independent sandbox and approval axes.
## Decision
The deliverable is **plan mode**. It ships as the first **session mode** — a named, logged, per-agent COLLABORATION state: a mode definition is deployment-configured guidance the model sees, while the mode IN FORCE for an agent is session state folded from its log. Modes are one axis and the enforcement knobs — the sandbox mode, the approval policy — are others: they never read or write each other, matching how Codex keeps its Plan/Default collaboration presets separate from its sandbox and approval settings. One new product package, `@deepseek-ai/dsh-mode` at `packages/mode/mode/`, owns the event vocabulary, a thin `ctx.modes` service, and every listener; the loop does not change. `plan` is the only required definition — the mode-shaped vocabulary exists so a second mode never renames durable event types, not because more modes ship now.
The state is one `SessionEventMap` member: **`mode/set`**, a log-only, non-surface event carrying `{ mode: string }` with whole-value-replace semantics, plus a pure `foldMode(events)` that returns the mode in force — the last `mode/set`, or the default mode when none exists. Because [the log is the fact channel](../../implemented/architecture/2026-06-30-event-domain-semantics.md), resume, fork, and compaction restore the mode with no extra machinery, and UIs read flips off `session/event`. The default mode is the absence of mode guidance — no section, filtering, or gate. Loading `dsh-mode` still contributes one stable `exit_plan_mode` schema in every mode; that fixed cost avoids tool-catalog churn at mode boundaries.
A mode's whole surface is soft: a `mode:policy` prompt section renders the active definition's guidance, while `exit_plan_mode` remains in the registered tool catalog across every mode and rejects at execution unless the folded mode is `plan`. A transition therefore changes only the system-prompt portion of the attributable `request/header` on the next step, keeping [reconstructability](../../implemented/architecture/2026-07-05-reconstructable-requests.md) green without changing native schemas or Code Mode's SDK. A mode deliberately enforces NOTHING: no execution gate, no tool filtering, no reach into the sandbox or approval knobs — a user who wants a hard read-only floor while planning switches the sandbox-mode option beside the mode picker, in either order, and neither axis disturbs the other. There is likewise NO per-mode tool allow/deny list — which tools a mode admits is an effects question, parked until tool definitions declare their effects ([Deferred](#deferred)); a mode's restraint is its section's guidance plus the exit review.
The model leaves plan mode through the **`exit_plan_mode`** tool: its single argument is the plan text, which makes the plan reconstructable from the log, and the tool conducts the review itself through the user-interaction seam — a question whose supporting detail carries the exact plan, with options and a free-text channel, not a bare permission — so an approval flips the logged mode back to the default, and a rejection becomes the corrective error carrying the user's feedback verbatim, which keeps the model planning with direction. A user flips the mode from any surface through `ctx.modes.set()`; the flip is applied at the next turn boundary (session events are turn-enclosed) and narrated to the model once, only when the model-visible state actually changed.
## High-level API
### A plan-mode session end to end
The user switches the session to plan mode through the ACP mode picker or `/plan [message]` in a terminal front door, and from the next step every request ships the configured plan guidance section. When the optional message is present, that same command submits it into the affected step. The `exit_plan_mode` schema was already present in default and remains byte-identical.
The model explores and designs; the section's guidance is what defers changes into the plan. The sandbox and approval knobs keep whatever the user set them to — a deployment (or user) that wants kernel-enforced read-only during planning pairs plan mode with the independent sandbox-mode option.
When ready, the model calls `exit_plan_mode` with the plan markdown as its argument; the review question carries that exact markdown as supporting detail — approve, or keep planning, with free-text feedback welcome. A native call also renders the plan card; a Code Mode nested dispatch has no native card, so the review detail is the common presentation surface.
On approve, the tool flips the logged mode back to the default: the next step drops the plan section while retaining the same tool catalog (the changed header is in the log), and execution tracking from there is already `todo_write`'s job. On keep-planning, the model receives a corrective error carrying the user's feedback text, revises, and re-presents.
### Deployment configuration
Mode definitions are validated plugin Config — per repo convention, changeable from `cordis.yml` with no code edit. The deployment must provide the complete `plan` section; the package embeds no model instructions. Additional modes use the same config map:
```yaml
- id: mode
name: '@deepseek-ai/dsh-mode'
config:
modes:
plan:
section: |
You are in plan mode: explore and design, then present the
plan for approval through exit_plan_mode.
```
A definition is exactly `{ section }` — there is deliberately no per-mode tool list and no enforcement field ([FAQ](#faq)). Definition names use the lowercase slash-command subset `/^[a-z][a-z0-9_-]*$/u`; `default` is reserved (the absence of policy) and rejected as a key. An invalid name or unknown definition key — a `tools` list or an `access` cap included — fails validation at load; an unknown mode name fails loudly at `set()` time.
### In the terminal
Terminal front doors get one entry command per configured definition through the plugin-owned command registry (`@deepseek-ai/dsh-commands`): `dsh-mode` registers `/plan [message]` for the required definition and, for example, `/review [message]` when `review` is configured. Each command records its named switch; a non-empty optional message is trimmed and passed to `agent.steer()`, which places it in a running agent's next step or delegates to `send()` for a new idle turn. The command name and result stay out of model history, while that explicit message is logged as an ordinary user message under the selected mode. The synthetic `default` entry contributes no command. The exit review prompts right in the terminal with no new machinery: it is an ordinary user-interaction question, so it rides the composed user-interaction provider's prompt queue that `ask_user_question` already uses.
### Over ACP
The mode PICKER is this package's surface: `session/new`/`session/load` advertise `availableModes`/`currentModeId` from `ctx.modes` (consumed opportunistically via `ctx.get`, the `tool-bash` pattern), `session/set_mode` calls `set()` and notifies `current_mode_update` optimistically (the pending mode IS the user's selection; the logged `mode/set` follows at the boundary), and a `session/event` listener re-notifies on each logged flip that differs from the last sent. The exit tool reuses the user-interaction ACP provider's elicitation flow; its ACP mapping carries the review `detail` because Code Mode nested dispatches have no native plan card, while native calls may additionally stream the plan card. Individual environment knobs — sandbox mode, approval policy, the model — are NOT modes and belong to `session/set_config_option` ([FAQ](#faq)).
### For agent creators
`ctx.modes` is the whole programmatic surface: `list()` returns the configured definitions plus the synthetic `default` entry (for pickers), `get(agent)` returns the folded mode plus any pending intent, and `set(agent, mode)` validates the name against `list()`'s vocabulary and records the boundary-applied intent — `default` is always a valid target, so exiting a mode is the same call as entering one. There is no creation-time mode option — a caller selects through `set()` before the first turn, which flushes identically. There is no live `agent/*` mirror to subscribe: UIs read `mode/set` off `session/event`, per [event-domain semantics](../../implemented/architecture/2026-06-30-event-domain-semantics.md).
## Detailed design
### Vocabulary
```text
'mode/set': { mode: string } // SessionEventMap merge in dsh-mode: log-only, non-surface,
// whole-value replace — the last one in the log wins
DEFAULT_MODE = 'default' // the fold of a log with no mode/set; reserved, not definable
```
The payload carries no reason/provenance field: a tool-driven flip sits next to its `tool/call` in the log and a user flip sits at its turn boundary, so the cause is log-adjacent — the same "narrative fields are derivable" call the [reconstructability Agent Note](../architecture/2026-07-05-reconstructable-requests.md) made for request-header facts (the in-flight `env/state` event carries a `source` precisely because its drift variant has NO log-adjacent cause — a contrast, not a conflict). Mode names are config-declared vocabulary, not opaque cross-boundary ids, so they stay bare strings (no `Branded<B>`).
### Config and the resolve step
```text
interface ModeDefinition { section: string } // prompt text — a mode's whole vocabulary
interface ModeConfig { modes: Record<string, ModeDefinition> } // plan is required and owns its complete prompt
resolveConfig(config): ResolvedModes // explicit resolve (the dsh-bash template), fail-loud:
// missing plan, 'default', blank sections, and unknown keys rejected
```
The one-field shape is deliberate minimalism, not the final vocabulary: a per-tool policy dimension returns as effects metadata on tool definitions ([Deferred](#deferred)), read here rather than re-declared per mode — the config shape must not need a migration when it arrives.
### The fold, the service, and the flush
`foldMode(events)` is pure (exported for reconstructors and tests) and folds the append-only session log directly; `mode/set` is not a surface node, so compaction cannot shadow it. `set(agent, mode)` validates the name against `list()`'s vocabulary — the configured definitions plus the reserved `default`, which is rejected as a config KEY but always accepted as a `set()` TARGET — drops a no-op (target equals pending, else current), and otherwise records `{ mode, narrate }` in a `WeakMap` pending-intent slot. It cannot append immediately because [every session event is turn-enclosed](../../implemented/architecture/2026-06-15-turn-enclosure-invariant.md) and an idle agent has no open turn.
Contained listeners on the loop's interception seams ([defensive patterns](../../../../docs/defensive-patterns.md): a policy plugin must not block a prompt or a turn) flush the pending intent as a `mode/set` append — `agent/prompt-submit` fires inside the just-opened turn before its first assembly, and `agent/turn-continuation` fires after an ordinary step closes before its successor. Automatic request recovery bypasses continuation, so a prepended `agent/request-error` wrapper delegates through the composed policy and asynchronous backoff, then flushes only a `retry` decision before the waterfall returns to the loop; an effect-scoped lifetime guard suppresses a captured wrapper that resumes after plugin disposal. All three paths sit outside tool execution and log publication (post-commit `session/event` observers are observe-only), so every step runs under the mode its assembly folded. When the flushed mode differs from the fold at the last `request/header`, the flush appends one coalesced `context/message` notice in the same frame ("The user switched this session to plan mode."); the user-visible narration cases are enumerated in the [FAQ](#faq).
### The soft layer: a computed section and a stable exit schema
The registered prompt section reads the calling agent's mode from `AssembleContext.agent` and resolves to the active definition's guidance or `''`. The loop renders per step and logs a complete `request/header` whenever the rendered header changes, so entering or leaving a mode is attributable. The section is static per mode and the plan itself stays in the conversation as messages and tool arguments; re-injecting separate plan state on every request ([Prior art](#prior-art)'s compaction-survival hack) is unnecessary prompt churn.
The guidance contribution is `{ name: 'mode:policy', order: 50, text: context => … }`: after persona (0), before tool guidance (100–199), and empty for default or agent-less assembly. `exit_plan_mode` is registered once through `ctx.tools` and never filtered, so native schemas and Code Mode's generated SDK remain byte-identical across mode switches; a deployment without `dsh-mode` lacks that one binding. There is NO `tools/pre-execute` listener: a mode gates nothing, while the exit tool's own folded-mode check rejects out-of-plan calls. The exit review is a question with options and feedback, not a permission, so it lives inside the tool's execution over the user-interaction seam.
### `exit_plan_mode`
`defineTool` has one required `plan: string` argument. Native execution records it in the ordinary `tool/call`; Code Mode records the outer `run_code` source before execution and appends the normalized nested arguments in `tool/code-dispatch` after the dispatch settles. `execute` rejects an agent-less call (the [`todo_write` precedent](../../implemented/feature/2026-06-29-todo-write-tool.md)), rejects any folded mode other than `plan`, rejects an empty or heading-less plan before asking the reviewer, then conducts one single-select `ctx.userInteraction.ask()` review whose `detail` is the exact plan — approve or keep planning — with free-text feedback open. Only exactly one `Approve` selection consents; every other shape fails closed. Approval records a SILENT boundary-applied intent to switch to `default` and returns a short confirmation. The deployment guidance tells the model to make this the only and final tool call in its response; if a model violates that rule, the runtime still holds plan guidance for the rest of the batch, and the next step logs a changed header with the guidance removed and tool schemas unchanged. Every non-approval outcome returns a corrective `isError` and leaves the mode in `plan`.
Its [render intent](../../implemented/architecture/2026-07-02-tool-render-intent-union.md), decided up front: `presentCall` is a `generic` card titled by the plan's first heading with the plan markdown as content, plus a `generic` result card. Native front doors show that card before the question; Code Mode nested dispatches do not produce native call-card events, so the user-interaction `detail` independently carries the same plan on every provider. The seam is consumed opportunistically (`ctx.get('userInteraction')`), so `dsh-mode` composes without it and degrades to the manual exit pinned in the [FAQ](#faq).
### Dependencies and surfaces
`dsh-mode` is one product package, not a capability-seam trio ([Alternatives considered](#alternatives-considered)): it peers on `cordis`, `dsh-session`, `dsh-agent`, `dsh-tools`, and `dsh-system-prompt`, injects `['tools', 'systemPrompt']`, and reads `ctx.userInteraction` opportunistically at execute time (a type-only peer edge on `dsh-user-interaction`); its only UI-facing edges are optional type-only peers (`dsh-commands` for the per-definition entry commands). Beyond the `ctx.modes` call surface everything participates through listeners, so dropping the package gracefully removes modes rather than breaking a consumer. Terminal front doors need no mode-specific code: `dsh-mode` itself registers each definition's command on the command registry when one is composed (an optional type-only peer edge on `dsh-commands`), and the exit review rides the composed user-interaction provider's prompt queue. The ACP wire mapping is pinned in [High-level API](#over-acp); package-wise the bridge takes a type-only peer edge on `dsh-mode` and reads the service opportunistically, so a bridge without the plugin behaves exactly as today.
### The recorded scenario and the harness op
`input.json` gains one step op, `{ "op": "setMode", "modeId": "plan" }`, driven through the real `session/set_mode` RPC, and a scripted `elicitationAnswers` queue. The `plan-mode` scenario enters plan before turn 1, runs a real `cat` under the independently configured sandbox, presents a plan through `exit_plan_mode`, receives scripted approval, then edits on the next step. The first `request/header` contains the full stable toolset plus the configured mode section; the post-approval changed header retains byte-identical tool schemas and removes only that section. `plan-mode-reject` pins corrective free-text feedback and the unchanged plan state. Both recordings replay host commands under Seatbelt or bwrap; backend-specific sandbox denial stays at the bash-tool unit tier.
### The mechanical tail
No new cordis event is declared (`mode/set` rides `session/event`; the listeners attach to existing waterfalls), so the events catalog is untouched. Regenerated in the same change: the persistence log catalog (`mode/set`), the services catalog (`ctx.modes`, JSDoc-complete), the config catalog (`ModeConfig`), the tool catalog (`exit_plan_mode`), the producer/consumer map and doc graphs, and the module graph. Repo plumbing: a root tsconfig `paths` entry, the new group's README plus a [packages map](../../../../packages/README.md) row (a new top-level group is the deliberate act that table names), an `architecture.md` capability-services row for `ctx.modes` (budget-checked), and the cookbook row upgrade.
## Deferred
Each behind its own decision: subagent mode inheritance via a forwarded creation-time mode option (removed as unconsumed; it returns with its first consumer), preset modes beyond `plan` (read-only, accept-edits), the idle-record primitive if pending-intent loss proves real, and — the big one — **effects self-declaration on tool definitions**: a per-tool read-only/mutating classification (the MCP `ToolAnnotations` vocabulary — `readOnlyHint`/`destructiveHint` — is the natural template, with its untrusted-hint caveat implying trust tiers). That item is what a general per-mode tool policy waits on: this Agent Note first shipped an interim per-mode name allowlist and removed it before release — a hand-maintained list mislabels the effects question, must track every tool a deployment composes, and rots silently as tools arrive — so mode-scoped tool availability (and per-tool `ask` policies) returns as a CONSUMER of declared effects, which is its restart trigger.
The canonical [`examples/acp-agent`](../../../../examples/acp-agent/) composition mounts the mode and question-tool plugins on the full ACP coding server; plan mode is an additive session feature, not a second server profile. Its snapshot suite pins the plan-shaped initial header, a real read, scripted approval, stable tool schemas across the pure-removal header delta, a subsequent edit, rejection feedback, and the keyless mode wire. A self-skipping real-API smoke boots that same leaf, verifies the file before approving the review, and verifies the approved implementation afterward.
## FAQ
Behavioral clarifications of the chosen design; rejected designs live in [Alternatives considered](#alternatives-considered), accepted costs in [Consequences](#consequences).
**When does a user's mode flip take effect?** At the next pre-assembly boundary: `agent/prompt-submit` covers the first step, `agent/turn-continuation` covers a normal successor, and the post-composed `agent/request-error` retry decision covers automatic recovery. A mode selected while a request or retry backoff is in flight therefore shapes the following model request. This is the "applies to subsequent requests" semantics every product in [Prior art](#prior-art) ships.
**When is a mode change narrated to the model?** Only when the model-visible state actually changed: the flush compares the flushed mode against the fold at the last `request/header` and narrates once, coalesced. A net-zero flip sequence (plan then back, all before the boundary) narrates nothing; a tool-driven exit narrates through its own tool result instead; a mode set before the first turn narrates nothing — the section is the state statement. The principle is the in-flight env-state proposal's boundary narration: a silently flipped prompt surface leaves the transcript arguing from a state the header no longer has.
**What happens on resume when the config no longer defines the folded mode?** A folded mode name the current config no longer defines behaves as the default mode without a notice, so the session neither gains a substitute restriction nor becomes unusable. `set()`'s loud validation covers only the write path; a resumed log answers to the config it finds.
**What if a deployment composes no user-interaction provider?** Plan mode stays safe but manual: `ctx.userInteraction.ask()` throws `NO_PROVIDER` (and an absent seam never resolves at all), the tool returns the corrective `isError`, and the exit degrades to the user toggling modes — never to an unreviewed exit. The mode section tells the model to present its plan through `exit_plan_mode` — and to ask the user in prose if that fails — so it keeps presenting instead of stalling.
**Why is there no per-mode tool allowlist?** Because "which tools are safe in a planning mode" is a property of each TOOL (its effects), not of the mode — a per-mode name list re-declares that fact in the wrong home, must enumerate every tool the deployment composes (MCP servers included), and rots silently as tools arrive. Until tool definitions declare their effects ([Deferred](#deferred), where the removed interim allowlist is archived with its restart trigger), a mode restrains by its section and the exit review; the exposure is an accepted cost ([Consequences](#consequences)).
**Do subagents inherit the parent's mode?** A fork child inherits for free — the parent's `mode/set` is inside the seeded prefix. A spawn child starts in the default mode; a creation-time mode option and automatic forwarding by subagent providers are deferred together ([Deferred](#deferred)).
**How does plan mode relate to the sandbox's read-only mode?** They are separate axes that never touch: the mode is the collaboration stance (a `mode/set` fold), the sandbox mode is an enforcement knob (a `bash/sandbox-mode` fold, [the sandbox Agent Note](2026-07-06-sandbox.md)) — plan mode neither reads nor caps it, exactly as Codex keeps its Plan/Default presets separate from its sandbox and approval settings. A user who wants kernel-enforced read-only while planning sets both: flip the mode picker AND the sandbox-mode option, in either order; each switch changes only its own fold, so there is no interference and no restore step to crash out of. The log attributes each axis to its own event — the stance to `mode/set`, the confinement to `bash/sandbox-mode`.
**Why aren't sandbox mode, approval policy, or the model themselves modes?** They are individual environment knobs and belong to ACP's `session/set_config_option`; the division this proposal pins is picker-to-modes / knobs-to-config-options, recorded in [the feature matrix](../../../../packages/ui/acp/acp-feature-support.md) now that both this stack's picker and the sandbox stack's config options are landed. A mode definition may later bundle env facts (applied through `ctx.envState` where mounted) so a Codex-style preset stays a single mode; fusing approval policy into the mode CONCEPT itself is rejected in [Alternatives considered](#alternatives-considered).
## Prior art
A survey of shipped plan modes (Claude Code, Cursor, Copilot, OpenCode, Gemini CLI, Cline, Windsurf, Codex) shows the same five parts everywhere — the low-authority tool policy, plan artifact, approval moment, execution-state switch, and durable state that [Problem](#problem) builds on.
The mode surface is a LIST everywhere it is advertised, never a boolean: Claude Code's picker offers `plan` beside `acceptEdits` (plus an auto-mode entry into plan), and Codex exposes `Plan` beside `Default` as collaboration-mode presets while keeping approval and sandbox settings separate. This is the surface [the ACP feature matrix](../../../../packages/ui/acp/acp-feature-support.md) records as the gap, and what sizes the vocabulary as named modes rather than a flag.
The deployment-owned example prompt borrows the instrumental behavior, not product-specific mechanics. From Codex: remain in plan mode despite imperative implementation language, explore before asking, distinguish repository facts from user-owned choices, and make the plan decision-complete across APIs, data flow, failures, tests, and assumptions. From Claude Code: prohibit mutations and commits, prefer existing patterns, use questions only for requirements or approach choices, and finish through the exit tool rather than a prose approval request. It deliberately omits Codex protocol tags and Claude's plan-file or phased-subagent machinery because those belong to their runtimes, not this plugin contract.
The ecosystems that leave modes to convention show the failure shapes to avoid. Pi-style mode extensions fight over a last-wins global active-tool list, enforce "read-only" by prompt text alone (a hallucinated call to a still-registered tool executes), and re-inject plan state into every request to survive compaction. The contested global list and the re-injection hack close structurally here — per-agent folded state, and a log-only non-surface event compaction cannot shadow. The prompt-only shape, by contrast, is deliberately KEPT — it is what Codex ships for Plan, and it is why the mode axis composes freely with the enforcement axes: a deployment that wants a hard floor pairs the mode with the independent sandbox knob instead of the mode carrying its own enforcement ([FAQ](#faq)).
## Alternatives considered
**Permission modes as the concept (the Claude Code shape).** One `permissionMode` fusing approval policy and tool policy. Here those are two axes with two owners: the approval seam owns "who answers this question", modes own "what surface does the model get". ACP models them as related but distinct (a mode may select an approval policy later — a mode definition gains a field, not a merger).
**A capability-seam trio.** Interface/implementation/consumer fits a swappable backend; a mode's variable parts are config values, not implementations. Splitting would manufacture an empty implementation package — the same "don't split preemptively" call the approval seam and [`todo/`](../../implemented/feature/2026-06-29-todo-write-tool.md) made.
**Loop-owned mode state.** Rejected on the standing rule (plugins, not loop changes): every hook the feature needs — assemble, pre-execute, turn boundaries, session events — is already a documented seam, so a loop edit would buy nothing but coupling.
**A per-mode tool allowlist with a deny-by-default gate (the first shipped shape).** Removed before release. A hand-maintained name list re-declares a per-TOOL fact (its effects) per MODE: it must enumerate every tool the deployment composes — MCP servers and future registrations included — and it rots silently as tools arrive (a new read-only tool is blocked until someone edits every mode; the author burden lands on whoever knows the mode, not whoever knows the tool). It also over-promises: the list looks like a security boundary while the real boundary for anything non-shell does not exist. The general dimension is parked on effects self-declaration ([Deferred](#deferred)); the consequence — plan mode is guidance-only, the very Pi hole the gate once closed — is accepted deliberately, priced in [Consequences](#consequences).
**An `access` sandbox cap on the mode (the second shipped shape).** Also removed before release. `ModeDefinition.access` clamped the bash seam's per-call sandbox resolution to a mode-declared ceiling (a `bash/resolve-mode` waterfall + ladder-min listener, with guards withholding bash under an unconfinable executor and denying escalation mid-mode). The state stayed orthogonal — the clamp never wrote the sandbox knob — but the AXES did not: entering plan changed what the sandbox enforced, fusing the collaboration stance with an enforcement level and contradicting the Codex-shaped separation the review converged on (Plan/Default presets never touch sandbox or approval settings). One user-visible symptom of the fusion: flipping the sandbox option to `workspace-write` while planning silently did nothing. The cap, the waterfall, and the mode→bash dependency edge were removed together; a deployment gets kernel-enforced read-only planning by pairing the mode with the independent sandbox-mode option, and a mode-triggered PRESET (a mode definition bundling suggested knob values, applied as ordinary knob switches) can return later without re-fusing the axes.
**Runtime-only mode (UI- or bridge-local, unlogged).** Resume and fork would silently drop the mode, and the header deltas a mode causes would have no attributable cause in the log. Logged state is what makes the mode auditable and restorable for free.
**Mode flips as `context/message` via `agent.inject()`.** Reuses an existing turn-enclosure path, but puts policy state into the model transcript — the model does not need to be told twice (the section already tells it), and a log-only fact should not occupy surface.
**A plan-file store (`.plans/` directory).** A second durable home for what the log already carries replayably; a deployment wanting files can add a tool that writes them. One home per fact.
**A boolean `planMode` instead of named modes.** Too narrow for the surface the repo already tracks: ACP advertises a mode LIST and the shipped pickers fill it with more than plan ([Prior art](#prior-art)); generalizing later would rename durable event vocabulary. The string-shaped mechanism costs nothing extra now; only `plan` ships as a definition.
**A tool-policy-stack service (the Pi-critique remedy).** A dedicated composition service for tool policies is premature: this implementation performs no mode-scoped tool filtering, and future effect policies can compose through the existing guarded execution seams. Formalize only when declared tool effects create a concrete composition requirement.
**Exit approval through the approval seam (a `{ kind: 'ask' }` gate decision).** The original sketch, natural while the approval seam was the only asking machinery in flight — but it seats a review in a permission chair: the seam's outcome vocabulary is deliberately closed and one-shot (`allowed-once`/`rejected`), so a rejection carries no feedback and an approval can never grow options (approve-and-accept-edits). The exit moment is a question, not a permission — the user-interaction seam gives it options plus the free-text channel, and the rejection feedback reaches the model verbatim. The approval seam remains the right seat for genuine permission gates (the sandbox escalation), and the registry's `ask` vocabulary stays available to deployments that want one there.
**Exit by prose or steering instead of a tool.** No artifact and no approval moment — the tool's argument IS the reviewable plan, and its review question is what gives the human a structured yes/no attached to the exact transition.
## Consequences
What holds now, pinned by the unit, protocol, snapshot, and real-API tiers:
- The mode in force is a pure function of the session log: resume and fork restore it with no extra machinery, and a `mode/set` is followed by a matching complete `request/header` on the next changed step.
- A user-driven flip narrates exactly once at the next boundary and a net-zero flip sequence narrates nothing; a tool-driven exit narrates only through its tool result.
- In default mode the plugin contributes no mode section but does contribute the stable `exit_plan_mode` schema; a deployment without `dsh-mode` lacks that binding.
- Native tool schemas and Code Mode's SDK stay byte-identical across default, plan, and custom-mode transitions; only the configured guidance section changes.
- Plan mode changes nothing on the enforcement axes: the toolset, the sandbox mode, escalation, and the approval policy behave identically in plan and default — pairing the mode with the independent sandbox/approval knobs is how a deployment hardens planning.
- Mode definitions are changeable from `cordis.yml` with no code edit; the complete plan instructions are required there, while missing plan config, malformed definitions, and unknown keys fail at load and unknown mode names fail at `set()`.
- `exit_plan_mode` is always advertised, rejects outside plan, drops only plan guidance after approval, and carries keep-planning feedback in a corrective `isError`; ACP mode updates and each surface's user-interaction provider carry the human side.
- The docs tail shipped with the landing: READMEs, regenerated catalogs (persistence log, config, cordis services, tools), the packages map and architecture rows, and the cookbook row.
The accepted costs: a pending user flip set while idle is lost if the process dies before the next turn (the UI re-applies; the idle-record primitive is the escape hatch if this bites in practice). A mode transition changes the system prompt at order 50, so the cache path from that point onward changes, but the tool schemas and Code Mode SDK no longer churn. **A mode restrains by guidance alone**: a model that ignores the section CAN mutate during plan — the review moment, the session log, and independent sandbox, approval, and filesystem policies are the containment surface. Hardening planning means setting those knobs, not widening the mode; the removed enforcement shapes and their effects-declaration restart trigger remain in [Alternatives considered](#alternatives-considered) and [Deferred](#deferred). The ACP mode surface carries the picker while sandbox, approval, and model selectors remain config options under the division pinned in the [FAQ](#faq) and [feature matrix](../../../../packages/ui/acp/acp-feature-support.md). If ACP removes session modes in favor of config options, the picker mapping can migrate without changing the logged mode state or model surface.

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# Agent Note: The session prefix — request-only messages in front of the derived history
Status: implemented
## Problem
A plugin often owns a session-stable opener the model must always see — a skills catalog, an AGENTS.md digest, a workspace baseline. Before this seam the harness offered two homes, and both are wrong for that content. The system prompt is one rendered string: message-shaped content (a user-role `<system-reminder>` envelope, a multi-message primer) does not fit it, and providers weight conversation messages differently from system text. Durable history (`agent.inject()`, a `context/message` at session start) makes the opener permanent: every `deriveMessages()` consumer replays it, the compaction retention walk owns it, forks bake it in stale, and a resume cannot refresh it — a catalog captured at session birth outlives the world it described.
The obvious third option — let a plugin edit the request's `messages` on the way out — is banned by [the reconstructable-requests Agent Note](../architecture/2026-07-05-reconstructable-requests.md): every loop-built request is a pure function of the session log, so whatever channel carries the opener must log exactly what it sends. What was missing was a request-only message channel with a durable record.
## Decision
`agent/session-prefix` is a waterfall on the agent event map ([`packages/core/agent/src/types.ts`](../../../../packages/core/agent/src/types.ts)): listeners receive a frozen empty seed and return an extension (the canonical contribution is a prepend, `[mine, ...await next()]`, which yields registration order on the wire). The loop ([`packages/core/agent-loop/src/loop.ts`](../../../../packages/core/agent-loop/src/loop.ts)) fires it once per loop instance, lazily before the instance's first `agent/pre-step`; the composed list is deep-cloned, deep-frozen, cached on the instance, and placed in front of the ENTIRE derived history — directly after the provider's system slot — on every request the instance sends ([wire order](../../../../docs/core-data-structures/core.md#the-request-envelope-llmcallconfig-and-the-logged-header)).
Three properties carry the design:
- **Request-only, header-logged.** `deriveMessages()` never returns the prefix; its one durable record is `EpochHeader.messagePrefix` on the instance's anchoring `request/header` snapshot — the channel the reconstructable-requests Agent Note already owns for the request's non-history half, so no new session event exists. The [`dsh-agent-loop/invariant`](../../../../packages/core/agent-loop/src/invariant.ts) companion recomputes `messagePrefix + boundary derivation` against every loop-built request; an unlogged prefix cannot reach the wire when that contribution is enabled.
- **Frozen per instance.** Reuse is structural, not disciplined: the cached product cannot change mid-session, so the provider's prompt cache holds by construction and the prefix extends the cacheable region at zero marginal cost per step. A process restart or `ctx.agents.resume()` is a new instance: it recomposes, and any drift lands attributably on the `'resume'` header snapshot. This is the routing rule the seam creates: session-frozen openers ride the prefix; content that changes mid-session rides the append-only history channels (`agent.inject()` or tool/prompt-submit `additionalContexts` — [the interception-seams Agent Note](2026-06-30-interception-seams.md)), each a durable `context/message` paid once and prefix-cached thereafter.
- **Exact in the durable request envelope.** Composition precedes the instance's first `agent/pre-step` and request boundary. The first routed request logs the current prefix on its header, so post-step token pressure reads the exact prefix together with the actual prompt, tools, and routed model; no compaction-only parameter is carried through the generic pre-step seam. A composition interrupted by cancel/dispose is discarded, never cached: an abort-aware listener's degraded fallback cannot leak into later requests, and the next turn recomposes under a live signal.
Because composition runs before the boundary snapshot, a composing listener's session append joins the CURRENT request's derived history. Compaction structurally cannot touch the prefix (or the system prompt): it rewrites surface nodes, and header state never enters the surface.
## Testing
[Interception tests](../../../../packages/core/agent-loop/tests/interception.spec.ts) pin compose-once reuse without changed headers, prepend order, empty-prefix omission, immutability, composition before pre-step, and the prefix on the routed header; [cancellation tests](../../../../packages/core/agent-loop/tests/cancel.spec.ts) pin discard and recomposition. Session, invariant, token-meter, and compaction tests cover header round trips, request reconstruction, and durable prefix-aware pressure accounting. Snapshot normalization preserves prefix counts, while the [pinned-header scenario](../testing/2026-07-06-pin-request-header-content-in-one-scenario.md) owns content and the default example remains prefix-free. The provider-independent seam needs no dedicated e2e; the with-key [request-cache e2e](../../../../packages/core/agent-loop/tests/request-cache.e2e.ts) covers its cache economics.
## Alternatives considered
- **Per-request `before`/`after` slots recomputed every step** (the shape first proposed: a waterfall firing on every request, contributing frozen `before` messages ahead of the history and fresh `after` messages behind it) — rejected. A per-step `before` recompose invites drift that must be logged as a full changed header, and an `after` slot sits behind the growing history, so its tokens re-pay on every request and everything after it is uncacheable. Measured against the alternatives, every current update pattern is served cheaper by a durable append (paid once, cache-read thereafter), and the only content with no home was the session-stable opener — which wants freezing, not recomputation.
- **A system-prompt section** (`system-prompt/assemble`) — rejected for this content: the assembly renders to the single `system` string, so message-shaped openers do not fit, and the system prompt is deliberately re-assembled per step (with a full changed header when it changes) while the opener wants instance-frozen semantics.
- **A durable history opener** (`inject()` at session start) — rejected: permanent history is the failure mode in the problem statement — replayed everywhere, compactable, stale across resumes.
- **Compose per turn instead of per instance** — rejected: a turn-boundary recompose either desyncs silently from the log or forces a changed header, and it busts the provider cache exactly as often as it fires; the legitimate refresh point is the instance boundary, where the `'resume'` snapshot already records drift attributably.
- **Carry prompt/prefix through `agent/pre-step` for provisional pressure** — rejected because it couples a generic lifecycle seam to one consumer and still misses later request routing and tools; post-step replay reads every request-envelope field from its durable routed header.
- **A dedicated session event carrying the prefix** — rejected: the header events are the request's non-history record by design; a second event would be a second home for the same fact and another codec to keep total.
## Consequences
- `agent/pre-step` stays a generic `(agent, turn, step, signal)` checkpoint. Compaction receives no prefix parameter; `ctx.tokenMeter` folds the prefix from the canonical routed header at post-step.
- A contributor whose content changes mid-session is not re-read until the next instance — by design. A deployment needing mid-session catalog updates routes the change notice through the append-only history channels and pays one durable `context/message`.
- The dropped `after` slot leaves no request-only channel near the request tail; nothing in the repo needs one, and adding it back would re-open the every-step re-pay cost the design exists to avoid.
- An empty composition is canonical absence: no-contributor deployments log no extra header bytes and their requests are the bare derivation.

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# Agent Note: Background subagent tasks
Status: implemented
## Problem
The [subagent seam](2026-06-21-subagent-capability-seam.md) returns a `SubagentRun`, but the model-facing tool originally collected every run synchronously. Independent, slow delegations therefore held the parent call open or ran serially.
Subagents need the same start, collect, list, stop, ownership, notification, and cleanup behavior as other long-running tools without adopting process-stream semantics. The child session remains the detailed trace; the parent needs the final answer and task status. A background child also outlives its starting tool call, so its cancellation and owner-disposal contracts must be explicit.
## Decision
Each `dsh-tool-subagent` instance may expose `run_in_background`, controlled by `enableRunInBackground` and enabled by default. A disabled instance omits the parameter and rejects a forced background argument at execution. Provider selection remains deployment configuration, so one instance still registers one distinctly named tool for one provider.
Background subagents use the [generic background task runtime](../architecture/2026-06-20-generic-long-running-tool-runtime.md). Collection, listing, cancellation, completion notices, and prompt guidance come from `task_output`, `task_list`, and `task_kill`; there are no subagent-specific companion tools.
Foreground calls retain their synchronous contract: await provider startup and `run.result`, return final text only for `completed`, map other terminal reasons to an errored tool result, and always dispose the run before returning.
For a background call, the tool validates the parent and refuses an already-aborted execution signal before calling `ctx.tasks.start()`. The task runtime preflights the control surface and owner cleanup before invoking the producer starter. That starter creates an independent `AbortController` and begins `ctx.subagents.start()`; after the id is returned, the tool-call signal no longer owns the child.
The task registration maps the subagent seam as follows:
- `kind` is `subagent`, `label` is the model-supplied description, and `owner` is the parent agent.
- `cancel(reason?)` aborts the task-owned controller. The same signal covers pending provider startup and the ready child.
- `done` awaits provider startup, the child result, and `run.dispose()`. Completed runs return final text, aborted runs become `killed`, and other stop reasons become `failed`. Startup, result, and disposal failures become failed outcomes rather than rejected task promises.
- `readOutput` is absent. While live, `task_output` returns status only; after settlement, it returns final output idempotently. Intermediate child activity remains in the child session.
## Lifecycle
A background subagent belongs to its parent agent and is not durable across owner closure. The task runtime attaches cleanup to the exact owner's scope. Agent disposal cancels the task and awaits startup rollback or child disposal before `AgentHandle.dispose()` resolves, preventing leaked child agents and sessions.
Completion notices target the exact owner captured at start. If owner teardown has already disposed the injection target, the notice is dropped; cleanup, not notification, is the lifecycle guarantee.
## Model guidance
The generic task prompt teaches the shared habit: retain ids, continue independent work instead of busy-polling, collect relevant tasks before answering, and kill irrelevant work. The subagent schema adds only that background mode returns a task id and that `task_output` collects the result. Authorization and owner cleanup enforce the runtime boundary independently of prompt compliance.
## Alternatives considered
### Subagent-specific wait, output, and stop tools
Capability-specific tools would duplicate the task protocol, teach another collect-and-stop habit, and complicate multiple provider instances. The generic runtime provides the required behavior without changing the tool's one-provider-per-instance shape.
### Survival after owner closure
Survival requires persistent task state, child-session recovery, a late-result delivery channel, and policy for abandoned owners. Owner-scoped cleanup gives process-local work a clear lifetime. Durable jobs require a separate design.
### No owner checks for isolated clients
Agents and logs may be session-scoped, but the task registry and predictable ids are runtime-global. The generic owner fence therefore applies to subagents like every other producer.
### Incremental child transcript output
Streaming child history into the parent would blur the log boundary and make provider behavior diverge. This surface exposes final output only; richer observation belongs to session or UI tooling.
## Testing
Unit coverage pins stop-reason mapping, dispose-before-report behavior, startup and result failures, pre-aborted refusal, detachment from the starting call's signal, cancellation before and after provider readiness, collection through the real task tools, the no-surface preflight fence, missing-runtime failure, and per-instance schema gating. Snapshot coverage pins the model-facing schemas.
## Consequences
The parent can fan out slow delegations and collect them through the same task controls used by bash. Child work no longer occupies the starting tool call, but it can consume resources until collected, killed, or owner-disposed. Prompt guidance encourages collection; owner cleanup provides the hard lifetime boundary. Deployments that require synchronous delegation can disable background mode per tool instance.

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# Agent Note: Repeat-tool-call guard plugin
Status: implemented
## Problem
A model stuck in a loop re-issues the same tool call with byte-identical arguments — re-running a failing grep, re-reading an unchanged file, polling a command that already gave its answer — and each round trip burns tokens, wall-clock, and (for paid APIs) money without adding information. The harness has nothing that notices: the loop has no step budget, no plugin tracks call repetition, and the model only escapes when it happens to vary its own behavior. The failure mode is real and cheap to detect — [pi-repeat-tool-guard](https://github.com/Kingwl/pi-repeat-tool-guard) ships exactly this as a pi coding-agent extension: count consecutive identical calls and, past a threshold, append a `<system-reminder>` telling the model to stop repeating itself and change course.
The harness already has every seam the pi extension uses, and better ones: [the interception-seams Agent Note](2026-06-30-interception-seams.md) gives `tools/post-execute` a sanctioned way to attach model-facing context to a finished call, the loop buffers and injects that context with call/result adjacency preserved, and injected context is a logged `context/message` — so a native guard satisfies the model-visible ⟺ logged rule with no new session event. What was missing was only the plugin itself.
## Decision
The guard is a loop-hygiene plugin, not a model-facing tool. It counts consecutive calls to the same tool with identical canonical arguments and injects advisory reminders at configured thresholds. It never delays, blocks, or rewrites a call; the model decides whether to retry differently or finish.
The plugin is `@deepseek-ai/dsh-repeat-tool-guard` at `packages/guard/repeat-tool-guard/`, opening the `guard/` group for loop-hygiene plugins (single-package groups have precedent: [the todo-write Agent Note](2026-06-29-todo-write-tool.md) shipped `todo/tool-todo`). It registers two listeners and holds state in a `WeakMap` keyed by the live `Agent` object — the tool registry is a context-level singleton whose waterfalls interleave every agent's calls (subagents run on the same context), so per-agent keying is correctness, not polish; weak object keys also make a disposal-only cleanup listener unnecessary.
- **`tools/post-execute` (waterfall)** — the one detection point. The listener receives `(exec, result)` together, so counting and reminder delivery need no cross-event pending map (the pi extension needs one only because its `tool_call`/`tool_result` hooks are separate events). It always delegates via `next()` and, when a threshold is hit, prepends a reminder to the downstream decision's `additionalContexts` — the observe-and-enrich posture [the hooks bridges](2026-06-30-hook-bridges.md) already use, honoring the waterfall contract. Counting happens here rather than in `tools/pre-execute` because post-execute also runs for denied calls (`ToolRegistry.execute` routes a deny through the same pipeline), and a model hammering a denied call is exactly the loop worth breaking.
- **`agent/prompt-submit` (waterfall)** — pure reset hook: delegate via `next()`, clear the submitting agent's chain. A user interjection changes the context; repetition across it is not a loop.
### Detection semantics
The chain key is `(tool name, canonical arguments)`; a call identical to the previous tracked call increments the agent's consecutive counter, a different tracked call resets it to 1. Canonicalization is a deep key-sort plus `JSON.stringify`: `ToolExecution.arguments` is by construction the loop's `JSON.parse` output (or the raw string fallback for malformed argument JSON, which is itself a comparable value), so the pi original's bigint/circular/`undefined` handling has no inputs here and is deliberately dropped.
Two deliberate rules, both documented in [the package README](../../../../packages/guard/repeat-tool-guard/README.md) because they are behavior a reader would otherwise guess at:
- **Untracked calls are transparent to the chain.** A call excluded by `include`/`exclude` neither increments nor resets the counter, so `grep X → todo_write → grep X` still counts as two consecutive `grep X` when `todo_write` is excluded. This is what makes exclusion useful — bookkeeping tools interleaved into a loop must not launder it — and it is the pi extension's (undocumented) semantics, kept on purpose and written down.
- **Calls without an agent are ignored.** A direct `ctx.tools.execute()` caller (tests, non-loop consumers) has no model to remind and no live agent object to key on.
### Reminder delivery
Reminders ride `additionalContexts` as their own entries (source `{kind: 'plugin', plugin: 'repeat-tool-guard'}` — the label is load-bearing per `HookContext`), never a `content` replacement: the `tool/result` event stays the tool's own output for audit, and the loop appends buffered contexts as `context/message`s after the step's results, which the session renders as tagged synthetic-user envelopes and derived history replays. Thresholds escalate: the first configured threshold gets a short "you are repeating yourself, analyze the previous result" nudge; each later threshold gets the detailed form naming the tool, the repeat count, and the canonical arguments (head-truncated at `argumentsPreviewChars`, default 500 — a looping `write`-sized payload must not ride into the next request unbounded; the chain key always compares the full canonical string), and stating that the calls made no progress. The pi original hardcodes the gentle text to the literal count 3; the guard keys it to `thresholds[0]`, fixing that bug in the port. A downstream hook bridge contribution remains a separate array entry, so both plugins retain their source, envelope, and metadata.
### Config
```yaml
- id: repeat-tool-guard
name: '@deepseek-ai/dsh-repeat-tool-guard'
config:
thresholds: [3, 5, 8] # default; consecutive counts that trigger a reminder
include: [] # tool-name patterns to track; empty ⇒ all tools
exclude: [todo_write] # tool-name patterns transparent to the chain
argumentsPreviewChars: 500 # default; cap on arguments quoted in the detailed reminder
```
`thresholds` is validated at load and throws on an empty list, a non-integer, a value below 2, or a duplicate — misconfiguration fails loud, replacing the pi original's silent fall-back to defaults. `include`/`exclude` entries support `*` wildcards. Patterns are predicates over whatever tools exist at call time, not references to a registry entry, so an entry matching no currently registered tool is NOT an error — unlike `toolOrder`'s referent check, `exclude: [mcp_*]` must stay valid in a deployment that loads no MCP tools.
## Testing
- **Unit:** A real loop with a scripted adapter covers counting and reset rules, untracked transparency, disposal cleanup, per-agent isolation, canonical argument key order, escalation, denied calls, no-agent execution, wildcard escaping, invalid config, and downstream block or replacement decisions at per-file 100% coverage.
- **Snapshot:** The keyless `repeat-tool-guard` scenario makes five identical `todo_write` calls and pins the gentle third-call and detailed fifth-call reminders in both ACP output and the session log. The plugin is loaded in the live example but remains inert in other scenarios.
- **E2e:** None; the plugin is deterministic and provider-independent, and its seam contracts are covered by their owners.
## Alternatives considered
- **Append the reminder into the tool result** (`accept` with replaced `content` — the pi extension's mechanism, which patches result content because that is the only channel its API offers) — rejected: it makes the logged `tool/result` lie about what the tool returned, and `additionalContexts` is the separate sanctioned channel for post-execute commentary, with loop-level buffering that preserves call/result adjacency.
- **Count in `tools/pre-execute` with a pending-reminder map** (the pi two-phase shape) — rejected: post-execute alone sees `(exec, result)` together and also fires for denied calls, so one listener with no cross-event state covers strictly more attempts with less machinery.
- **Escalate to `block` at the highest threshold** — rejected for the initial scope: a blocked call punishes legitimate identical repeats (polling a long-running terminal, re-checking a file the agent expects to change), and an advisory reminder keeps the model in control. Revisit with evidence; the decision shape (`PostToolDecision`) already supports it.
- **A per-deployment external hook via the CC/Codex bridges** (a `PostToolUse` script) — rejected as the answer: it works for one deployment, but a shipped, unit-tested, `cordis.yml`-configurable plugin is the harness-native form, without per-call subprocess cost.
- **A loop-level step or repetition budget in `agent-loop`** — rejected: "plugins, not loop changes"; a hard step budget is a blunter, orthogonal control that would need its own proposal.
- **Fuzzy/near-identical detection** (normalized paths, similar-but-not-equal arguments) — rejected: exact match after canonicalization is cheap, deterministic, and explainable to the model; similarity thresholds invite false positives and need evidence before they earn complexity.
- **Placing the package in `core/`** — rejected: core is the product spine; a behavioral guard is an optional leaf plugin, and the `todo/` precedent is a small dedicated group per plugin family.
## Consequences
- The reminder is advisory by design: idempotent polling patterns that repeat identical calls on purpose still receive nudges past the thresholds, and the pressure valves are config (`thresholds`, `exclude`) plus reminder text that explicitly allows finishing when enough evidence has been gathered. Each trigger costs reminder tokens on the next request; thresholds bound the frequency.
- Chain state is in-memory only: a session resumed from persistence starts with a fresh chain, so a loop spanning a resume draws its reminders later than a live one — accepted, the guard is a heuristic nudge, not a logged invariant, and persisting counter state would buy little for real complexity.
- When multiple post-execute producers attach context on one call, each contribution stays a separate `HookContext`; ordering follows waterfall nesting and each entry retains its own provenance.
- Implementing the snapshot tier surfaced a hidden assumption in the suite kit: the fixture guard equated "authored model scenario" with "override-driven". The `Scenario` table now carries an explicit `overridden` flag, and the sidecar's presence is checked BOTH ways against it (an unregistered stray sidecar would silently replace the derived script) — the suite kit is stricter than it was before this plugin existed.
## Deferred
- Compaction does not reset chains: a compacted history changes what the model sees, but the repetition risk usually survives compaction.
- Escalating to `block` at a high threshold is not implemented; `PostToolDecision` already supports it if evidence arrives.
- Subagent chains stay isolated per agent; no sharing mechanism exists until a concrete case appears.

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# Agent Note: The self-referential cordis toolset
Status: implemented
## Problem
Everything in this harness is a cordis plugin, but the agent running inside that plugin runtime cannot see or touch it: it cannot enumerate the services and events around it, cannot extend itself with a new tool mid-session, and cannot compose capabilities it invents. Handing the model that power is worth exploring — a self-referential agent that inspects and modifies its own runtime — but it raises three correctness problems at once, and the design is about answering them rather than the raw "let the model run code" mechanic.
First, model-written registration must be validated where it happens: a malformed tool schema has to fail at registration, not when a later request tries to assemble it into a prompt. Second, model-written code has to call service APIs whose source it has never seen — guessed method signatures and, worse, guessed return-value shapes cost many steps of blind probing. Third, everything the model mounts must be fully disposable, by the model on demand and by the ordinary plugin lifecycle when the host plugin reloads, or a long session accretes orphaned listeners and tools.
## Decision
The toolset ships as [`@deepseek-ai/dsh-tool-cordis`](../../../../packages/cordis/tool-cordis/README.md) — a new top-level `packages/cordis/` group — and is demoed by [`examples/cordis-agent`](../../../../examples/cordis-agent/README.md). It gives the model three tools over the live cordis runtime it is running inside: inspect it, mount model-written plugins into it, dispose them again.
The vm isolates accidental global pollution, and the context façade hides framework internals. Neither restricts the authority of exposed services: a mount can call `ctx.bash` to run commands with the host executor's privileges and can reach the real filesystem and web services. This is an opt-in development tool with bash-equivalent trust, not a security boundary or product default.
### The three tools
| Tool | Contract |
|---|---|
| `cordis_inspect` | Read-only report over the live runtime, one Markdown section per `what` value (omit `what` for all sections). An exact `name` with `what: "api"` or `what: "events"` narrows to one source-documented target. Never mutates. |
| `cordis_mount` | Evaluates `code` (the body of an async JavaScript function) in a `node:vm` sandbox; the code must `return` a cordis plugin, which is mounted as a child of the `cordis-dynamic` group fiber and tracked under a fresh id (`dyn-1`, `dyn-2`, …). |
| `cordis_unmount` | Disposes one dynamic mount by id and returns only after disposal reaches quiescence — every registration the plugin made is unwound, not merely requested to stop. |
`cordis_inspect` sections: `services` (every provided ctx service and the owning fiber, non-active owners flagged), `plugins` (a flat list of every loaded plugin with its lifecycle state, from `ctx.registry` — what capabilities are loaded, deliberately not the tree shape), `tools` (what the model can call), `dynamic` (the mount table: id, name, state, provided services, awaited services), `api` (live service signatures + the type shapes they reference, from the generated catalog), and `events` (harness events with dispatch mode and signature). Broad `api` and `events` reports omit full JSDoc to stay compact; an exact `name` returns one service or event with its original method/declaration JSDoc. A name is invalid with other sections, unknown targets fail, and an API target must be live. The model-facing tool descriptions carry the operational rules the model needs at call time; [the generated tool catalog](../../../../docs/tool-catalog.md) is their exhaustive rendering.
### Sandbox semantics
Mount code runs as an async-function body in a fresh vm realm. Its documented surface steers file, network, process, and timer access through Cordis services so mounts remain inspectable and disposable. Host-realm helpers still make Node escape possible, consistent with the trusted posture. `vmTimeoutMs` bounds only synchronous evaluation.
Sandbox globals are deliberately small: a tagged write-through `console` (`[cordis:<id>] …` on the host stdout/stderr, so a listener that fires long after the mount call still lands somewhere the user sees), the `harness.defineTool` / `harness.registerTool` registration pair, the encoding primitives fresh vm contexts lack (`btoa`/`atob` as host closures over `Buffer` — a sanctioned exception, `Buffer` itself is never exposed — plus `TextEncoder`/`TextDecoder`), and callable traps over the withheld Node APIs (`require`, `setTimeout`/`setInterval`/`setImmediate`/`clearTimeout`/`clearInterval`, `fetch`) that throw a redirect naming the cordis alternative. Only function-shaped globals are trapped; `process` and `Buffer` stay `undefined` so a `typeof` feature probe stays inert rather than detonating a throwing accessor.
Mount code crosses the vm boundary through three controls. Dual-realm `instanceof` recognizes both host and vm objects. `harness.defineTool` normalizes results into host-realm JSON and validates the `ToolExecuteReturn` shape before logging. The mounted plugin receives a whitelist context façade, not a raw or pass-through `Context`; framework plumbing and context-valued returns are rejected. Service reads require a declared `inject`, preserving Cordis activation and unload semantics. `ctx.tools.get` exposes only the schema view, so mounted code cannot bypass `ToolRegistry.execute` by calling a definition directly.
The boundary normalizes unambiguous JSON-Schema forms into `SchemaSpec`, including object wrappers, `integer`, and optional fields. Invalid vocabulary fails with the accepted alternatives. Parse, TypeScript, missing-return, Node-API, and duplicate-tool errors include the relevant source line or corrective contract without narrating implementation internals.
### The dynamic group and mount lifecycle
All dynamic mounts are children of one `cordis-dynamic` group beneath the tool plugin, so ordinary fiber disposal handles reload and unload. Mounting awaits settlement; startup failure disposes the fiber before returning an error. A settled pending mount remains visible with its missing injections. `cordis_unmount` awaits the mount fiber's disposal.
### Cross-mount composition via provide/inject
Mounts relate to each other through ordinary cordis service semantics, with their ids as the lifecycle handles: mount A calls `ctx.provide('foo', value)`, mount B declares `inject: ['foo']` and activates the moment `foo` exists; mounted first, B stays pending and names the missing service; unmounting A sends B back to pending (its registrations unwound) and a later re-provide re-runs B's `apply` through a fresh sandbox façade; a duplicate provide fails loud with the owning fiber named. One realm caveat: a service value provided by a mount is a vm-realm object — method calls on it work from anywhere, but consumers must not assume host prototypes on it.
### The generated API catalog
`cordis_inspect` serves API and event data from a generated catalog rather than a duplicated table. The generator reuses the Cordis catalog AST scan and emits service summaries, signatures, original service-method and event JSDoc, event modes, referenced type declarations, and the inherited context surface. Ambiguous type names are omitted and oversized declarations are marked as truncated.
Freshness is gated like every generated artifact: `pnpm run verify-cordis-api` (in `doc-sync`) regenerates in memory and fails on any diff, so a JSDoc or public-signature edit cannot ship without regenerating the catalog the model reads. At runtime the inspect tool intersects the catalog with the live runtime rather than dumping it: broad reports render live catalogued services as summary + signatures, live services without a catalog entry (mount-provided ones) as name + owning fiber, catalogued services with no live provider tersely, and then the referenced type shapes. Exact-name reports render one live service or event with the original JSDoc immediately before each signature; keeping that detail opt-in avoids charging its token cost on exploratory listings.
### Configuration, rendering, and observability
The plugin exposes one config field, validated by schemastery and documented in [the config catalog](../../../../docs/config-catalog.md): `vmTimeoutMs` (default 5000), the millisecond bound on the synchronous portion of mount-code evaluation. Tool names, the `cordis-dynamic` group name, and the `dyn-` id prefix are structural vocabulary and stay fixed. All three tools render as `generic` cards per [the tool cookbook](../../../../docs/cookbook/adding-a-tool.md) (`cordis_inspect` a `read`, `cordis_mount` an `execute` carrying the code as `rawInput`, `cordis_unmount` a `delete`), with no `presentResult` overrides.
Model-visible ⟺ logged holds with no new session event type: a mount or unmount is visible only through its own `tool/call` / `tool/result` pair, which the loop logs, and the changed tool set a mount induces is logged by the full changed request header the loop emits when schemas change between steps. There is deliberately no `cordis/mount` provenance event — it would duplicate what the tool-call pair records. Dynamic mounts are process-lifetime, not session state: resuming a persisted session rehydrates the conversation but does not re-mount plugins.
## Alternatives considered
**A structured per-capability registration tool instead of `cordis_mount`.** The most tempting alternative is a `cordis_register_tool` with explicit `name` / `description` / `parameters` / `code` fields (and siblings `cordis_register_listener`, `cordis_register_service`, …) rather than a single "mount a plugin" primitive. It was rejected because its one real win — no plugin boilerplate for the single commonest case — does not pay for its costs, while a single mount primitive answers every capability at once.
| Dimension | Structured per-capability tools | Single `cordis_mount` |
|---|---|---|
| Schema correctness | `parameters` is still a model-written JSON object needing SchemaSpec validation, merely one step earlier | The same validation runs at the sandbox boundary, with the same instructive errors |
| The code field | An `execute` body is still model-written JS in a vm; the realm and service-call correctness problems are unchanged | One sandbox, one normalization path, one guarded registration |
| Capability coverage | Tools only; listeners, services, `inject` relations each need another structured tool — a surface that grows without bound | One vocabulary (a cordis plugin) covers every effect, present and future |
| Cross-mount composition | Not expressible in a tool-registration payload | Native `provide`/`inject`, ordinary cordis semantics |
| Inspectability | Registers something the plugin list cannot show as a plugin | What the model mounts is exactly what `cordis_inspect` renders |
| Model ergonomics | Wins for the single most common case (no plugin boilerplate) | Mitigated by the canonical recipe in the mount description plus boundary errors that teach the fix |
The correctness investment therefore goes where it pays for every capability at once: the generated API catalog surfaced through `cordis_inspect`, and sandbox-boundary validation whose error messages teach the correct call. A structured registration tool remains addable later as sugar that synthesizes mount code; nothing here forecloses it.
**A hand-maintained service/event reference in the tool.** The first cut of the inspect tool carried a hand-written table of service method signatures. It was replaced by the generated `api-catalog.ts` because a hand table drifts from the JSDoc the moment a signature changes and nothing gates the drift, whereas the generated artifact is freshness-checked against the same AST the docs use.
**A new `cordis/mount` session event.** A durable provenance event recording each mount (source, name) has clear precedent (`hook/invoked`, `compact/start`). It was declined for v1: mount and unmount are already visible as `tool/call` / `tool/result` pairs and the tool-set change is already logged as a full changed request header, so a dedicated event would only duplicate the record. It remains addable if an audit use case needs mount provenance separable from the tool call.
**A hardened / capability-restricted sandbox.** Trapping Node built-ins and handing mount code a whitelist façade rather than the raw context might suggest an intent to sandbox for safety. It is explicitly not that: the traps and the façade narrow the *surface* mount code sees — steering it onto cordis services and away from leak-prone Node built-ins and framework internals — for correctness and to close the unguarded-context escape, but the capabilities the façade exposes (`ctx.bash`, `ctx.fs`, `ctx.web`) reach the real runtime, so it is not a security boundary. A real one (separate process, permission prompts) was out of scope for a dev/opt-in toolset and would fight the entire point — handing the model the live runtime.
## Consequences
The toolset is a deliberate opt-in with a fully-privileged `ctx`, so a deployment adopts it as consciously as a bash tool. Several facts follow that the tool descriptions warn the model about directly: a waterfall listener (e.g. `tools/pre-execute`) that returns without calling `next()` vetoes the chain, so a mounted listener can lobotomize the agent's own tool dispatch ([waterfall semantics](../../../../docs/cordis-primer.md#cordis-waterfall-semantics)); mount code runs inside a tool call of the current turn, so awaiting anything that resolves only after the turn deadlocks; `vmTimeoutMs` bounds synchronous evaluation only; and mounts do not survive session resume.

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# Agent Note: Bash-backed grep and glob discovery tools
Status: implemented
## Problem
The harness needs model-facing `glob` and `grep` tools, but making them `ctx.fs` provider methods turns a local product convenience into a universal filesystem backend contract. Local workspace discovery is naturally a process-backed `rg` workflow; remote or virtual filesystem backends may expose their own search API, may not share a local `ripgrep` view, or may not support discovery at all. The v1 should not require every filesystem backend to implement search before the file read/write/edit seam has proven that need.
Search output also has two distinct budgets. The tool needs enough raw `rg` output to compute a stable logical result, but the model should receive only a bounded preview plus a recovery path when the formatted result is larger than the inline budget. The generic spill policy only sees the final tool result, so it cannot recover matches that a search tool already omitted. Search therefore needs tool-owned retention and best-effort formatted-result spill.
## Decision
`glob` and `grep` are conditional model-facing tools in `@deepseek-ai/dsh-tool-fs-search`, backed by the bash seam, not by new `ctx.fs` provider methods. At plugin load, the package checks `command -v rg >/dev/null 2>&1` through `ctx.bash.resolve(request)` followed by `ctx.bash.run(spec)`; if the command exits nonzero, the package logs a warning and registers neither tools nor prompt sections. A probe that cannot start, times out, aborts, is killed, or produces no exit code fails plugin load loudly because that is a broken bash executor rather than an absent optional binary. When registered, execution uses the same `ctx.bash.resolve(request)` followed by `ctx.bash.run(spec)` flow with fixed `rg` command templates assembled by the tool. The tool layer owns schemas, argument validation, shell quoting, result parsing, result formatting, retention, formatted-result spill handoff, and timeout declaration. The bash executor owns request defaulting/capping, subprocess execution, process-group termination, environment scrubbing, raw output capture, and backend substitution across local, sandboxed, or remote bash implementations.
The tools do not use `ctx.bash.start()` and do not create model-visible background tasks. They run as ordinary foreground tools from the agent loop's perspective: the tool call returns only after the `rg` command exits, times out, is aborted, or fails. `defineTool({ timeoutMs })` declares the cooperative tool-call budget, `@deepseek-ai/dsh-timeout-policy` enforces it through `exec.signal`, and the tool forwards that signal into the bash request before `resolve()` / `run()`. The bash backend's own timeout remains a second safety cap; whichever aborts first wins.
The tools align `path` with Claude Code's search tools while binding resolution to the bash workdir, not to `ctx.fs`. The tool derives the bash request workdir from `exec.agent?.session.header.cwd`, mirroring `dsh-tool-bash` and `dsh-tool-fs`; when no session cwd exists, it omits `request.workdir` so the bash implementation applies its configured cwd or process cwd through `resolve()`. For `grep`, `path` is an optional ripgrep target and may be a file or directory; omitted means the resolved bash workdir. For `glob`, `path` is an optional directory search root; omitted means the resolved bash workdir. Relative `path` values resolve against that workdir. Returned paths are displayed relative to the resolved bash workdir when possible and are intended to be follow-up-readable only in co-located deployments where the bash workdir and filesystem `read` root are the same workspace. v1 documents that deployment requirement but does not perform runtime cross-service validation. Remote or virtual filesystem search is deferred until there is a shared workspace/root contract or a provider-specific search backend.
The package does not inject `fs`. It injects `tools`, `systemPrompt`, and `bash`; it deliberately reads `spillStore` with `ctx.get('spillStore')` instead of static inject because formatted-result spill is optional. Existing `@deepseek-ai/dsh-tool-fs` deployments that only want `read` / `write` / `edit` do not need to load bash. Deployments that load search need `rg` available in the bash executor environment for the tools to enter the model-visible schema.
### Package shape
The v1 package stays small. Inside `@deepseek-ai/dsh-tool-fs-search`, the source layout is:
```text
src/index.ts
src/glob.ts
src/grep.ts
src/search-core.ts
src/shell-quote.ts
```
`glob.ts` and `grep.ts` own their parameter validation, command construction, result parsing, formatting, and registration. `shell-quote.ts` is one shared helper because shell quoting is the safety boundary both tools must use; `search-core.ts` is the other (an implementation-time amendment to the original four-file plan): the `SEARCH_*` error vocabulary, the bash-run + raw-output acquisition, the formatted-spill handoff, and workdir-relative display are byte-identical between the two tools, and duplicating that delicate plumbing per tool is exactly the missed extraction the symmetry convention flags. Command builders must not hand-roll quoting or concatenate unquoted model-controlled values into the shell command.
### Schemas and config
`glob` exposes the small discovery shape:
```ts
interface GlobArgs {
pattern: string
path?: string
}
```
`grep` exposes the OpenCode-style minimal shape:
```ts
interface GrepArgs {
pattern: string
path?: string
include?: string
}
```
Routine budgets stay out of the model-facing schema. `@deepseek-ai/dsh-tool-fs-search` owns these defaulted, validated config fields:
| Field | Default | Role |
|---|---:|---|
| `globMaxResults` | `100` | Max paths retained inline; matches Claude Code's default `GlobTool` result limit. |
| `grepMaxMatches` | `250` | Max flat matches retained inline; matches Claude Code's default `GrepTool` `head_limit`. |
| `grepMaxLineBytes` | `2000` | Max bytes retained for one matched-line preview, applied with `TextRetainer({ kind: 'head', maxBytes: grepMaxLineBytes })`. |
| `rawOutputMaxBytes` | `20000000` | Max complete raw `rg` stdout the tool will parse; matches Claude Code's ripgrep raw buffer. |
| `timeoutMs` | `30000` | Tool-call timeout attached to both tool definitions and enforced by `@deepseek-ai/dsh-timeout-policy`. |
`globMaxResults` and `grepMaxMatches` use `ItemRetainer({ kind: 'head' })`. `grepMaxLineBytes` uses `TextRetainer({ kind: 'head', maxBytes: grepMaxLineBytes })` for each matched line so preview cuts preserve UTF-8 boundaries. This follows the [tool result retention library](../architecture/2026-07-06-tool-result-retention-library.md) mapping for discovery items: collect the complete result, retain head items inline, and keep path mapping, grouping, and per-line preview outside the retainer. `grep` does not expose `case_insensitive`, `head_limit`, `offset`, `count`, multiline, context lines, output modes, or file type filters in v1. A model that needs surrounding context reads the matched file with `read`; a model that needs later results follows the returned spill locator's retrieval hint.
The Claude Code values are reference points for the two-layer budget, not model-facing schema precedent. Its dedicated search tools buffer raw ripgrep output up to 20 MB for internal processing, use a 20-second ripgrep timeout on non-WSL platforms (60 seconds on WSL), then apply search-specific caps before the model sees a result: `GrepTool` defaults to `head_limit = 250` and persists formatted results above 20,000 characters, while `GlobTool` defaults to 100 paths and persists formatted results above 100,000 characters. This Agent Note mirrors the raw-buffer and inline-count defaults, chooses a 30-second default search timeout, and uses this harness's `ctx.spillStore.saveText()` path for formatted-result recovery.
The `path` field follows the same split as Claude Code: `grep.path` is a file-or-directory ripgrep target, while `glob.path` is a directory search root. v1 does not expose a separate cwd/workdir argument on these tools.
`include` is one positive glob filter, not a list and not an exclude syntax. Reject comma-separated or negated include patterns up front with a structured argument error. Every model-controlled value used in a shell command, including `pattern`, `path`, and `include`, must pass through the package-private shell quoting helper.
### Execution
`glob` builds a fixed `rg --files` command rooted at the resolved directory search root (`path` when supplied, else the bash workdir): `rg --files --glob <pattern> --sort=modified --no-ignore --hidden`, plus VCS metadata excludes for `.git`, `.svn`, `.hg`, `.bzr`, `.jj`, and `.sl`. This aligns with Claude Code on hidden/ignored-file discovery and modified-time ordering while keeping VCS internals out of broad searches. The tool parses one path per line, maps results back to paths relative to the bash workdir when possible, pushes each path into `ItemRetainer({ kind: 'head', maxItems: globMaxResults })`, and formats the full sorted path list for a spill artifact when the retained result is capped.
`grep` builds a fixed line-oriented `rg --json` command against the supplied file/directory target (`path` when supplied, else the bash workdir) so file path, line number, and line text are parsed without colon-splitting ambiguity. It consumes `match` records, treats malformed JSON or malformed match records as `SEARCH_FAILED`, maps result paths relative to the bash workdir when possible, applies per-line preview retention with `grepMaxLineBytes`, pushes each match into `ItemRetainer({ kind: 'head', maxItems: grepMaxMatches })`, then groups only the retained preview matches by file for inline output. The spill artifact stores the full formatted match list, not only the omitted tail, so the retrieval hint points at the same logical result the model saw.
Raw `rg` stdout is an internal transport detail. The tool requests `stdoutMaxBytes: rawOutputMaxBytes` through `ctx.bash.resolve()` and parses `stdout.text` only when the executor returns untruncated stdout within that cap. If stdout is larger than `rawOutputMaxBytes`, or the executor still returns `stdout.truncated`, the tool fails with a clear search error telling the model to narrow `pattern`, `path`, or `include`. The tool never exposes raw `rg` output or bash raw spill paths to the model.
Only stdout is a parse source. Stderr is diagnostic text for invalid patterns, runtime `rg` disappearance after registration, and search failures; if bash truncates stderr, the tool uses the retained stderr tail with a truncation note and does not read `stderr.spillPath`.
If `ctx.bash.run()` reports `aborted` because the tool timeout or caller cancellation fired, the tool returns a structured failure rather than pretending there were no matches. If bash reports its own timeout first, the tool likewise fails with a clear timeout message. Nonzero ripgrep exit semantics are tool-owned: exit 0 is success with matches, exit 1 is success with no matches, invalid pattern / runtime `rg` disappearance / inaccessible search workdir are failures.
Search failures use a package-owned `HarnessError` subclass with `SEARCH_*` codes, not `FsErrorCode`, because these tools are not `ctx.fs` provider operations. The v1 vocabulary is `SEARCH_INVALID_PATTERN`, `SEARCH_FAILED`, `SEARCH_RAW_OUTPUT_OVERFLOW`, and `SEARCH_ABORTED`. Model argument validation failures such as missing required fields, blank strings, or unsupported negated/list `include` values remain ordinary tool argument errors.
### Formatted result spill
`ctx.spillStore` is optional and used only for model-facing formatted results. This is the first tool-owned spill call pattern in the codebase, and it is intentional because search retention is item-level policy: `globMaxResults` caps paths and `grepMaxMatches` caps matches while the tool still holds the complete logical result. The generic `dsh-spill-policy` caps final text bytes on `tools/post-execute`; by then a search tool would already have omitted later paths or matches, so the policy cannot recover them.
When a search produces more logical results than the inline cap and `ctx.spillStore` is present, the tool saves the complete formatted result with `saveText()`. The spill owner is the calling agent's session header id (`exec.agent?.session.header.id`); without that owner, the search keeps the inline result and reports that the complete result could not be saved. The spill source is the tool execution identity: `{ toolName: exec.name, callId: exec.callId, label: 'result' }`. The suggested filenames are `grep-results.txt` and `glob-results.txt`; the spill backend still treats them as hints, never paths.
When spill storage is absent, the call has no session owner, or saving fails, the tool still returns the inline page and a footer explaining that the complete result could not be saved. Search success must not turn into an `isError` result solely because formatted-result spill storage is unavailable.
The bash raw output stream and the formatted search spill artifact are different artifacts. Raw `rg` stdout is parsed only in memory within the requested bash stdout cap; the formatted spill artifact is the stable model-facing recovery locator produced by `ctx.spillStore.saveText()`.
### Result shape
A capped `glob` result with successful formatted spill returns the inline page and a spill notice:
```text
<first N paths>
(Showing N of M paths. Full sorted result stored at: /.../session-abc123/9f8e7d-glob-results.txt. Use read with offset/limit, or grep this path to search within it.)
```
A capped `grep` result with successful formatted spill returns grouped preview matches and a spill notice:
```text
Found N of M matches
<file>
Line 12: ...
(Full grep result stored at: /.../session-abc123/9f8e7d-grep-results.txt. Use read with offset/limit, or grep this path to search within it.)
```
If the complete logical result fits under the inline cap, no formatted spill artifact is created. If the complete logical result is too large but formatted spill is unavailable, the footer says that the result was capped and the complete result could not be saved. The `truncated` / omitted count is a budget fact, not an incomplete-search fact; timeout, invalid regex, runtime `rg` disappearance, inaccessible workdirs, raw-output overflow, binary skips, and parse failures stay in tool-domain error or incomplete fields.
## Alternatives considered
**Put `glob` / `grep` on `ctx.fs`.** Rejected for v1: it forces every filesystem backend to grow a search API and makes local ripgrep behavior part of the provider seam. Search is useful product behavior, but it is not a universal text-storage primitive like `readText` or `writeText`.
**Directly spawn ripgrep from `dsh-fs-local`.** Rejected for this Agent Note's v1: direct spawn gives the cleanest argv boundary, stdout/stderr control, and early-stop control, but it duplicates process execution concerns that the bash seam already owns: environment scrubbing, process-group kill, timeout propagation, sandbox/remote executor substitution, and bounded output capture. It remains a reasonable optimization if bash-backed search proves too shell-string-sensitive or if foreground streaming becomes necessary.
**Use `ctx.bash.start()` for streaming early stop.** Rejected: `start()` creates model-visible background task semantics: task ids, owner tokens, `bash_output`, `bash_kill`, completion notifications, and no built-in timeout. `grep` needs a foreground tool result, not a background bash workflow. If streaming search becomes necessary, the right abstraction is a foreground streaming process handle on the bash/process seam, not borrowing the public background-task API.
**Expose bash raw spill paths to the model.** Rejected: a bash raw spill path contains raw `rg` stdout (`rg --json` records for grep), not the stable formatted search result. Search parses raw stdout only as an internal transport; model recovery uses a formatted result saved through `ctx.spillStore.saveText()`.
**Add `spillStore.saveFile()` for bash output normalization first.** Rejected for this Agent Note's v1: `saveFile()` would help a future bash normalization pass move existing executor spill files into session-scoped spill storage, but search only needs bounded in-memory raw `rg` stdout before producing the model-facing artifact. `saveText()` is sufficient for the formatted search result.
**Rely on the generic `dsh-spill-policy`.** Rejected: generic post-execute spill sees only the final tool result. If `grep` / `glob` return the first page inline, the generic policy cannot recover omitted results. The search tools must save the complete formatted result themselves before returning the bounded model-facing text.
**Expose Claude Code's full `GrepTool` schema.** Rejected for v1: `output_mode`, context flags, multiline, `head_limit`, `offset`, `case_insensitive`, and type filters make the model-facing surface into a ripgrep wrapper. This harness keeps routine budgets and continuation mechanics in deployment policy and spill artifacts.
**Keep early-stop search and skip formatted spill artifacts.** Rejected for this proposal: early stop is more efficient but gives the model no path to inspect later results. The chosen v1 optimizes result recoverability and implementation simplicity, with `timeoutMs`, `rawOutputMaxBytes`, bash backend caps, and formatted spill artifacts as safety backstops.
**Expand the bash seam with a raw-output reader first.** Rejected: a portable `readRawOutput(ref, maxBytes)` API would add reference lifetime, permission, and backend storage semantics. A per-run `stdoutMaxBytes` request is the narrower seam: search either receives complete stdout within `rawOutputMaxBytes` or fails clearly.
**Always register and report missing `rg` only at execution time.** Rejected: a model-visible tool schema is a promise that the deployment can attempt that capability. If the bash executor cannot find ripgrep at load, the safer surface is no `glob` / `grep` tools or prompt guidance. Execution-time missing-`rg` classification remains as a defensive fallback for environments that change after registration.
## Testing
- Tests cover registration-time `rg` probing (probe success registers both tools and prompt sections, nonzero probe skips both tools and prompt sections with a warning, infrastructure probe failures reject plugin load), prove an aborted `exec.signal` reaches the bash backend (same-reference spec assertion plus the `SEARCH_ABORTED` result), and cover command construction/quoting (malicious patterns, paths with spaces, leading-dash values, quotes, newlines, glob metacharacters — unit assertions plus a real `bash -c` round-trip for every hostile value), `grep.path` as file and directory targets, `glob.path` as a directory search root, invalid pattern handling, no matches, malformed `rg --json` output, matched-line preview truncation, raw-output overflow, timeout/abort, formatted spill success/failure, the package-owned `SEARCH_*` error codes, and the no-background-task invariant.
- The first-party tool-owned spill precedent is covered directly: spill backend present, spill backend absent, `saveText()` failure, and missing spill owner.
- The package has real Loader-path coverage for the namespace plugin export shape (`name`, `inject`, `Config`, and `apply`, with no default export).
- A real-executor integration suite (`dsh-bash-local` + a real `rg`) verifies the world: hostile patterns stay inert, per-session cwd resolution, VCS-metadata exclusion, modification-time ordering, and real ripgrep stderr classification. It self-skips where `rg` is not on the test process PATH (a CI accommodation mirroring the keyless e2e skip); the fake-executor suite carries registration and execution coverage for missing `rg`, plus the per-file 100% coverage gate.
- Snapshot gap note for the transcript-visible spill notice: this landed with the gap note, not a snapshot. The snapshot tier replays the acp-agent tree, and adding the search plugin there changes the assembled system prompt — every expected output would need re-recording with a real key, which the implementing environment did not hold. The spill notice's exact transcript text is pinned by unit tests (`formatGlobOutput`/`formatGrepOutput` and the through-the-registry spill tests); wiring the plugin into the acp-agent tree plus a `test:snapshot:record` pass is the follow-up for the next key-holding session.
## Consequences
- `glob` and `grep` are conditional model-facing tools in `@deepseek-ai/dsh-tool-fs-search`, not `ctx.fs` provider methods and not part of the existing `@deepseek-ai/dsh-tool-fs` root plugin. They register only when the bash executor can find `rg`; the package injects `tools`, `systemPrompt`, and `bash`, does not inject `fs`, and keeps `ctx.spillStore` optional via `ctx.get('spillStore')`.
- The schemas are exactly `glob(pattern, path?)` and `grep(pattern, path?, include?)`; search caps and timeout are defaulted, validated Config fields (`globMaxResults`, `grepMaxMatches`, `grepMaxLineBytes`, `rawOutputMaxBytes`, `timeoutMs`).
- The tools execute through `ctx.bash.resolve(request)` → `ctx.bash.run(spec)`, forward `exec.signal`, never call `ctx.bash.start()`, and never expose a bash task id. The bash request workdir comes from `exec.agent?.session.header.cwd` when available; the resolved `spec.workdir` drives execution and relative-path display.
- The tools request `stdoutMaxBytes: rawOutputMaxBytes` from the bash seam, parse only untruncated stdout within that cap, and treat over-cap or still-truncated raw output as a clear search failure; raw `rg` output is never exposed to the model.
- Oversized complete formatted results are saved through `ctx.spillStore.saveText()` when available while inline results stay bounded; spill failure, a missing backend, or a missing owner preserves the inline result and reports the unsaved remainder — never an `isError`.
- The package README, the generated config catalog, and exported JSDoc document the Config fields and `SEARCH_*` codes; the tui-agent example ships the conditional tool plugin (the acp-agent tree waits on the snapshot re-record above); the fs group README records the `rg` availability and co-located bash/filesystem deployment requirements.
## Risks
Full-run `grep` can be slower than an early-stop search on broad patterns. The v1 accepts that cost for simpler implementation and complete-result recovery, bounded by tool timeout, bash timeout, `rawOutputMaxBytes`, and output caps. If this proves too slow, the direct-ripgrep or foreground-streaming alternatives remain available.
Shell command construction is the sharpest safety edge. Because `ctx.bash` accepts a command string rather than an argv vector, the implementation must centralize shell quoting and test malicious patterns, paths with spaces, leading-dash patterns, quotes, newlines, and glob metacharacters.
The v1 assumes a co-located bash/filesystem deployment. If bash searches one workspace and the `read` tool resolves paths against another, returned paths may not be follow-up-readable. The package documents this requirement but does not verify it at runtime.
Spill locators are backend-owned. The current local backend returns local filesystem paths and works in deployments where `read`/`grep` can open those files; remote or workspace-confined deployments can use a backend whose locator and retrieval hint point at a supported retrieval mechanism.

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# Agent Note: Expose agent session identity and JSONL location to tools and hooks
Status: implemented
## Problem
An agent can identify its workspace through `session.header.cwd`, but a model using bash cannot reliably identify the session that owns the call or the durable transcript that records it. Searching `./.sessions` guesses deployment config and JSONL layout; custom roots, alternate persistence backends, resume, forks, and concurrent parent/child agents make that guess unreliable. Hooks have the same need for transcript location, while future plugins may need to expose other harness-owned environment facts to shell commands.
The boundary must preserve two properties: the owner of a fact decides how to resolve it, and every child receives a per-execution snapshot rather than process-global mutable state. In particular, a nested harness must not leak its ambient `DSH_*` values into a child whose current agent, persistence backend, or configuration differs.
## Decision
Extend the [`SessionPersistence`](../architecture/2026-06-14-session-persistence.md) seam with a synchronous, side-effect-free location query:
```ts
import type { SessionHeader } from '@deepseek-ai/dsh-session'
interface SessionLocation {
readonly kind: string
readonly path: string
}
interface SessionPersistence {
locate(meta: SessionHeader): SessionLocation | undefined
}
```
`path` is an absolute local path to the backend's dedicated log for `meta`; `kind` identifies the representation. JSONL returns `{ kind: 'jsonl', path }` using its resolved root and path helpers. SQLite and any backend without an honest local per-session artifact return `undefined`. The query creates and flushes nothing, so it can report a lazy target path before that file exists.
The model-facing bash package owns a `ctx.bashEnv` registry. A contributor declares its stable name, every `DSH_*` key it may return, a description for each key, and `resolve(execution: ToolExecution)`. Duplicate contributor names, duplicate key ownership, reserved keys, malformed declarations, undeclared runtime output, and non-string output fail loudly. Registration is a Cordis effect and is removed with the contributing plugin fiber. `list()` exposes declarations without running resolvers, keeping the environment surface enumerable for diagnostics and future prompt/UI consumers.
The registry rebuilds a trusted overlay for every foreground and background bash `ToolExecution`:
- `DSH_HOME` is always the absolute configured Harness home. The standalone [`@deepseek-ai/dsh-paths`](../../../../packages/util/paths/README.md) utility owns its precedence: explicit `dshHome`, then ambient `$DSH_HOME`, then `~/.dsh`.
- `DSH_SHELL=1` is always present and identifies a model bash child managed by DeepSeek Harness.
- `DSH_SESSION_ID` is present when the execution has an agent and equals `agent.session.header.id`.
- The built-in persistence translator contributes `DSH_SESSION_JSONL` only when `ctx.sessionPersistence.locate(header)` returns `kind: 'jsonl'`.
Session persistence remains the fact owner: JSONL does not depend on tool-bash or register shell variables itself, and hooks continue to consume `locate()` directly. Tool-bash is the translation layer from the persistence fact into a shell convention. Other plugins that need shell-visible facts depend on the registry and register their own keys; they do not modify `process.env`.
The bash seam exports `DSH_ENV_PREFIX` as the single namespace source and derives `DshEnvironmentKey` from its `typeof`. Tool-bash derives built-in names and model guidance from that constant, while executors use it for filtering and channel validation. The seam carries the managed overlay separately as `BashExecRequest.dshEnv` / `BashExecSpec.dshEnv`. Ordinary `env` remains the general in-process plugin surface used by hooks, but cannot contain managed keys; symmetrically, `dshEnv` cannot contain ordinary keys. The local executor rejects either wrong channel before spawn, removes every inherited ambient managed key, applies its ordinary scrub/terminal environment/explicit `env`, and finally merges the trusted `dshEnv` snapshot. This guarantees that a missing value means absent now rather than inherited from an outer or previous harness. The model-facing tool still ignores model-supplied `env`/`stdin` arguments.
The bash tool description teaches only the durable convention: current harness environment facts are available through managed `$DSH_*` variables and may be inspected when needed. It does not enumerate persistence-specific keys or add a permanent system-prompt section. Tool schemas are already logged in request headers and tool output is logged as `tool/result`, so no new session event is required.
The [Claude Code and Codex hook bridges](2026-06-30-hook-bridges.md) resolve transcript location from the same persistence seam when constructing payloads. Codex uses `transcript_path: string | null`; Claude Code preserves its string field and falls back to `''`. Hook lookup neither materializes nor flushes a session.
## Peer product findings
Peer products separate stable identity from physical storage. Codex injects stable `CODEX_THREAD_ID` into spawned shells while recorder and hook surfaces own transcript paths. Claude Code supplies `session_id` and `transcript_path` as structured hook/status input. OpenCode carries identity in structured tool context; Kimi Code expands a session placeholder; Reasonix keeps the active session path on its controller. The portable rule is to inject identity at the invocation boundary, let storage resolve location, and never use a process-global current-session variable in a concurrent harness.
## Lifecycle and persistence semantics
A fresh session receives its id before the first turn, so its first bash call can read `DSH_SESSION_ID` and a JSONL target. The JSONL file may still be absent until the first successful turn-end checkpoint, and during an open turn it contains only the last flushed prefix. `DSH_SESSION_JSONL` is a location hint, not an authorization credential or freshness guarantee.
Resume reuses the loaded header and therefore the same id and location. Fork and spawn create new session ids and locations. Parent and child calls resolve from their own `ToolExecution.agent`; each command receives an immutable snapshot even when calls overlap. A persistence service replacement affects later collections because the translator queries `ctx.get('sessionPersistence')` at execution time; the registry itself is effect-scoped and HMR-safe.
`dshHome` is session-independent deployment context. Agent-core resolves one value through `@deepseek-ai/dsh-paths` and routes it to both tool-bash and local skill discovery; standalone consumers call the same resolver. If top-level `dshHome` and `skills.local.dshHome` are both supplied and resolve differently, composition fails instead of exposing contradictory homes. Persistence may change independently without freezing its facts into the session prefix.
## Testing
Unit coverage pins registry declaration validation, effect disposal, per-execution collection, the `dshHome` precedence, and the local executor's `DSH_*` scrub/rebuild order. Request-recording tests cover foreground/background snapshots, no-agent calls, absent/JSONL persistence, ignored model `env`, and parent/child isolation. JSONL/SQLite locator contract tests and both hook bridge suites pin available and unavailable transcript dialects.
A keyless full-loop integration drives the real agent loop, JSONL persistence, tool-bash, and bash-local on the first turn. The child prints `DSH_HOME`, `DSH_SHELL`, session id, JSONL target, and an inherited stale sentinel; the test verifies current values, absence of the stale variable, pre-flush file absence, and the eventual persisted header. Snapshot coverage pins the generic bash description in the recorded request header. No with-key test is required because the contract is deterministic local execution rather than model choice.
## Alternatives considered
**Only an id plus `find`.** Search cannot know a custom root or backend layout and races under multiple sessions.
**Only an absolute path.** A path can be unavailable, lazy, or representation-specific and is not stable session identity.
**Global `process.env`.** Concurrent agents would overwrite one another and nested harnesses would inherit stale current-session values.
**Put persistence instructions in the session prefix.** A session prefix is frozen while the active service can change across HMR or future backend switching; persistence-specific guidance would become stale.
**A typed waterfall event.** Listeners cannot declare ownership without running, and later listeners can silently overwrite keys. A registry detects key conflicts at registration and remains enumerable.
**Have each persistence backend register bash env directly.** That reverses the dependency from storage into one consumer and forces bash into deployments that do not use it. `locate()` is also still required by hooks.
**A model-facing `session_info` tool.** It adds schema and another call while bash already supplies the query surface; the registry generalizes to future environment facts without one tool per fact.
## Consequences
Every model bash child receives current Harness home and shell identity, and agent calls additionally receive stable session identity. JSONL-backed calls get an optional target path; non-file persistence omits it honestly. The complete `DSH_*` namespace inside these children is managed by the harness: ambient values are removed, current trusted values are re-added, and ordinary callers cannot use `env` to bypass ownership checks.
The namespace is discoverable but not secret. Paths can reveal configured roots, lazy targets can be absent or stale, and a command can override variables inside its own shell syntax. Consumers treat them as correlation and environment facts, verify transcript metadata when attribution matters, and rely on sandbox/filesystem policy rather than variable secrecy for authorization.

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# Agent Note: Parallel tool-call execution by per-call safety
Status: implemented
## Problem
An assistant message may contain several sibling `tool-call` blocks. Running them serially adds the latency of independent reads and web requests even though the model has already requested them together.
Concurrency is a host scheduling concern, not model-facing tool metadata. The loop needs to decide which calls may overlap without hardcoding tool names or exposing scheduler policy in the JSON schema.
The session log remains authoritative: every started call has an audit event, every started call receives a result, and model history observes results in the original call order regardless of completion order.
## Decision
Each tool may provide an optional `isConcurrencySafe(args)` classifier. It is synchronous and pure: it examines only the current call's parsed arguments and performs no I/O or mutation. Only an explicit `true` opts in; a missing classifier, invalid arguments, a thrown classifier, or any other return value makes the call exclusive. The canonical type contract lives in the [tool data structures](../../../../docs/core-data-structures/tools.md).
The classifier is deliberately unary. Returning `true` is the tool's promise that this call may overlap with any sibling call that also returns `true`; the scheduler does not compare calls or prove that their resource accesses are compatible.
The unary classifier remains input-sensitive. A tool may classify a read-only operation as parallel and a mutating operation as exclusive. The interface cannot express relational rules such as "these writes are safe only when their paths differ," so a call whose safety depends on a sibling remains exclusive.
`defineTool()` validates arguments before invoking a typed classifier. Invalid arguments classify as exclusive and produce the ordinary argument error only if the call executes. `ctx.tools.executionMode(exec)` resolves the live tool definition and returns the tagged `parallel` or `exclusive` mode; unknown tools fail closed to exclusive.
A tagged mode, rather than a public boolean scheduler API, keeps resource-aware variants representable without changing the classifier contract.
## Scheduling and ordering
The loop waits for the complete assistant message, parses every call once, creates a distinct `ToolExecution` for each call, and scans them in model order. Consecutive parallel calls form one group; every exclusive call forms a singleton group and an ordering barrier. Groups execute sequentially. Classification is lazy: the scheduler resolves the next call after each barrier and reclassifies every later call before replenishing a parallel pool. If a registry mutation makes that call exclusive, the current pool drains before the call starts as the next barrier.
For example:
```text
[parallel read(A), parallel read(B), exclusive write(A), parallel read(C)]
→ [read(A), read(B)]
→ [write(A)]
→ [read(C)]
```
`read(A)` and `read(B)` may overlap. `write(A)` starts after both finish, and `read(C)` starts after the write finishes.
Every group uses a rolling pool bounded by `maxParallelToolCalls`: the loop starts calls in model order up to the cap and starts another whenever one settles. An exclusive group is a pool of one. A cap of `1` preserves serial execution.
Only dispatch and the tool body overlap. `tools/pre-execute` and `tools/post-execute` run in model order because middleware may maintain ordering-sensitive state. `tools/execute` wrappers run around concurrent dispatches and therefore must be reentrant across distinct executions.
Each started call appends `tool/call` immediately before its pre-execute gate. Completed dispatches occupy model-order slots, and a commit cursor appends `tool/result` and collects `additionalContexts` only when the next slot is ready. Live surfaces may show several pending calls, but results and post-tool context remain model-ordered.
An abort before a group starts records no calls from that group. An abort during a group stops replenishment, waits for already-started calls, commits their results in order, drains accepted batch context after those results, and then ends the step through the existing abort path. Calls that never start have no audit event.
Code Mode remains outside this scheduler because the model emits one native `run_code` call. `run_code` and its internal dispatch queue remain serial; native sibling calls in `mode: 'both'` use the normal scheduler.
## Safety contract
A tool that returns `true` promises that its body is safe to run at the same time as other parallel calls. It must not directly mutate the parent session or other parent-owned state; it returns its outputs to the loop, which commits them in model order.
Any shared state touched during execution must be concurrency-safe. This includes tool wrappers and providers: they may serialize internally or enforce their own capacity, but they must support concurrent dispatch without corrupting state.
## Configuration and declarations
`maxParallelToolCalls` is a positive AgentLoop deployment cap shared by every agent the factory creates. It defaults to `10`; `1` preserves serial execution. Exact fields and defaults live in the generated [configuration catalog](../../../../docs/config-catalog.md).
The shipped declarations are conservative. Web search, web fetch, and filesystem read opt in. Filesystem writes and edits, bash tools, subagent delegation, workflow, user interaction, todo mutation, Code Mode, and Cordis mutation tools remain exclusive. A subagent may share its parent's workspace or external resources, and the unary classifier cannot prove that sibling delegations have disjoint effects. Bash has no proven input-sensitive classifier and remains exclusive.
Filesystem read relies on a narrow recorder exception: its synchronous observation updates may settle out of order, but write and edit re-check the observed version before mutation, so stale state only produces `FS_STALE_VERSION`.
## Verification
Unit coverage pins fail-closed classification, typed argument validation, grouping, barriers, live reclassification after registry replacement, the rolling cap, distinct execution objects, middleware order, ordered results and context, and abort draining. First-party tests pin each parallel declaration.
Snapshot coverage pins the visible multi-call transcript: pending calls may overlap while completed results remain model-ordered. Code Mode coverage pins its serial boundary. No provider-backed e2e is required because scheduling is deterministic loop behavior.
## Alternatives considered
**Keep serial execution.** This avoids new ordering and abort cases but retains unnecessary latency for independent sibling calls.
**Use one tool-level boolean.** A fixed `supportsParallelToolCalls` flag is smaller but cannot distinguish a tool's read-only and mutating operations. The argument-sensitive classifier preserves that distinction.
**Use stateful classification.** Giving the classifier a live agent, registry, or I/O access makes the decision depend on when it runs and creates a gap between classification and dispatch. Mutable authorization and stale-state checks remain execution-time responsibilities.
**Use sibling-aware or resource-aware classification.** The scheduler could compare calls pairwise or let each call declare resource read/write claims. This can parallelize non-conflicting writes, but it requires shared resource identity and conflict semantics across unrelated tools. The unary contract instead gives up that concurrency and fails closed when safety is relational.
**Parallelize the complete tool pipeline.** This keeps the loop on the public one-call API but runs pre- and post-execute middleware concurrently. Existing guards and hook bridges may carry ordered state, so only dispatch overlaps.
**Expose staged methods or a scheduling waterfall.** Public `prepare` / `dispatch` / `finalize` methods or a `tools/execution-mode` event add extension surface before another consumer needs it. The loop uses an internal scheduler view, while `executionMode(exec)` leaves an insertion point for a policy seam.
**Start calls while the model streams.** This may reduce latency further but changes assistant-message authority, replay, and call/result pairing. The scheduler starts only after the assistant message is complete.
**Use fixed-size windows.** Waiting for every call in one window before starting the next leaves capacity idle behind a slow call. The rolling pool preserves the cap without that delay.
**Expose concurrency metadata to the model.** The model can already emit sibling calls. Host scheduling metadata would enlarge requests without improving tool choice.
## Consequences
The design is fail-closed and simple for tool authors, but it cannot exploit concurrency whose safety depends on comparing siblings. A tool that opts in too broadly can expose latent shared-state races.
Parallel calls may begin in cases where serial execution would have aborted before reaching them. The scheduler therefore records only started calls, drains them on abort, and never starts replacements after cancellation.
Ordered commits may hold a fast result behind a slow earlier sibling. This preserves replay and model-history order while live surfaces still show pending progress.
Concurrent external calls can compete for quota or process capacity. Providers own their capacity controls; the loop cap only limits calls from one agent step.
Tool registration is a scheduling boundary. Registry mutations affect not-yet-started calls because the scheduler reclassifies after each barrier and before every pool replenishment. Already-started calls retain the scheduling decision under which they entered the pool.

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# Agent Note: Exact session query service
Status: implemented
## Problem
Session history exists in two places: current `SessionStore` objects and an optional persistence backend. Consumers that need exact inspection would otherwise duplicate live-versus-persisted precedence, persistence lifecycle handling, raw-event surface classification, relationship tracing, and defensive cloning. Durable state can lag the live log between checkpoints, so persistence alone is not a truthful current source.
Full-text search is related but materially larger. Putting provider coordination, synchronization, invalidation, ranking, and cursor state into the exact-read service would create a second state machine beside the concrete database owner.
## Decision
`@deepseek-ai/dsh-session-query` owns `ctx.sessionQuery`, a small trusted exact-inspection service over one logical corpus. It exposes `listSessions()`, provider-independent `filterSessions(filters)`, `listEvents(sessionId)`, `filterEvents(sessionId, filters)`, bounded `readEvent(request)`, `traceSession(sessionId)`, and `traceEvent(request)`. The package also declares the separate abstract `ctx.sessionSearch` contract and shared semantic extraction used by the [SQLite search decision](2026-07-10-sqlite-session-query-provider.md), but `ctx.sessionQuery` does not coordinate providers or synchronize a derived index. The separate [tracing decision](2026-07-13-session-query-tracing.md) owns lineage and event-relationship semantics.
The service observes the optional `ctx.sessionPersistence` binding dynamically but retains no persisted cache or invalidation listener. Each cross-corpus list asks the active backend for authoritative metadata, then overlays a fresh live-store list. Matching ids become one `SessionRecord`: the live header wins and `live`/`persisted` independently report source availability. Immutable header disagreement is `SESSION_QUERY_SOURCE_CONFLICT`.
An exact target read first checks the live store and snapshots the live header and event log. This path never consults persistence, so a failing durable backend cannot make known live history unreadable. With no live target, the service lists current persistence metadata, proves the id exists, loads it, and rejects a list/load header mismatch. All returned headers and events cross one structured-clone boundary.
## Surface semantics
`dsh-session` exports `foldSurface(events)`, and `SurfaceManager` uses the same transition functions for its incremental cache. The fold returns detached current event sequences and each replacement's actual removed seqs. `listEvents()` and `traceEvent()` use that result to classify every raw event, so inspection cannot disagree with model-history derivation about positional replacement semantics.
`readEvent()` returns the complete target plus raw neighbors by contiguous seq. `before` and `after` default to zero and are independently bounded by `readWindowMax`, default 50. The result carries a cloned `SessionHeader`, not a source-availability record, because determining a live target's persisted flag would violate the guarantee that live exact reads do not depend on persistence health.
## Security boundary
The service is context-wide trusted infrastructure, not an authorization layer. A future model-facing history tool or human UI applies explicit caller/session scope. The service adds no model-facing tool and changes no transcript or snapshot surface.
## Alternatives considered
- **Put logical-corpus resolution directly in every consumer** — rejected because source precedence, conflicts, optional-service lifecycle, cloning, and surface classification are shared correctness rules.
- **Query only persistence** — rejected because checkpoints can lag the current live log.
- **Cache persisted metadata and listen for writes/removals** — rejected because exact reads can ask the authoritative sources directly, while cache invalidation adds lifecycle and concurrency state before scale requires it.
- **Put provider registration into the exact-read service** — rejected because the SQLite package owns one reconciliation/transaction lifecycle; a registry would split that state without a second provider to justify it.
## Consequences
Exact reads have one source-resolution state variable: the currently mounted persistence service. There are no provider queues, fingerprints, extractor registries, observation generations, or derived index updates in `ctx.sessionQuery`. Exact reads, semantic scans, and event traces remain usable in live-only deployments and deterministic when persistence is present.
Cross-corpus listing, lineage tracing, and persisted event operations perform backend I/O on each call. That is deliberate: correctness comes from current authoritative state, while scale-oriented full-text search uses the separately owned SQLite derived index.

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# Agent Note: SQLite FTS5 session search
Status: implemented
## Problem
The exact-read `ctx.sessionQuery` service deliberately has no derived index. Large persisted histories need full-text search without scanning every event on every query, while current live sessions need an overlay newer than the last durability checkpoint. Search also needs concrete ranking, snippets, filters, pagination, cancellation, and rebuild behavior.
Splitting those concerns across a provider coordinator and a database implementation would create two coupled reconciliation state machines. The first implementation needs to own source observation, extraction, SQLite transactions, generations, and query execution as one lifecycle while still exposing a small provider-neutral call contract.
## Decision
`@deepseek-ai/dsh-session-query` declares an independent abstract `ctx.sessionSearch` service without changing the exact-read `ctx.sessionQuery` key. `searchSessions(request, exec?)` returns cursor-paginated `SessionSearchHit`s grouped by each session's strongest matching event; `searchEvents(request, exec?)` returns `SessionEventSearchHit`s within one logical session. Both requests require `query`, accept `limit` and an owned branded `SessionSearchCursor`, and support an optional abort signal. Session search accepts `sessionFilters` plus event metadata filters; event search accepts event metadata filters. Results expose bounded plain-text snippets but no provider identifier or numeric relevance score.
`@deepseek-ai/dsh-session-query-sqlite` is the sole concrete owner of `ctx.sessionSearch`. It depends on live `ctx.sessions`, observes optional `ctx.sessionPersistence` dynamically, and owns a dedicated derived SQLite database. There is no search-provider registry, coordinator, persistence event, or agent-loop integration.
The interface package also owns shared first-party semantic extraction and provider-independent filtering. `SessionResultFilter` covers id, nullable cwd, created-at range, nullable parent, and availability; `ctx.sessionQuery.filterSessions()` applies it without an FTS provider. `SessionEventResultFilter` covers seq/time ranges, event type, surface, and literal semantic text. Arrays are ANDed and list values are ORed. The text clause escapes caller input into a Unicode case-insensitive regular expression whose whitespace runs match one or more whitespace characters; it is available through `ctx.sessionQuery.filterEvents()` and is not delegated to an FTS provider.
## Search semantics
Each semantic event is one FTS document carrying session metadata, event metadata, surface classification, and extracted text. All `current`, `shadowed`, and `log-only` documents participate unless a surface filter narrows them. Metadata filters compile to parameterized SQL before ranking. Session results partition matching documents by session and retain the strongest one.
Ordering is deterministic and comparable across the persistent and TEMP FTS tables: actual FTS5 highlighted-match span count descending, indexed document code-point length ascending, event time descending, session id ascending for the cross-session scope, and seq descending. Snippets use those actual highlight positions, strip the reserved markers, normalize whitespace, and bound by Unicode code points. Opaque cursors bind to the service instance, scope, canonical normalized request, offset, and relevant generation. Any corpus change invalidates cross-session cursors; a within-session cursor changes only when its target source/generation changes, so unrelated sessions do not invalidate it. Reopening creates a new service instance and invalidates old cursors.
Queries are trimmed, whitespace-normalized, and quoted as one literal FTS5 phrase. Embedded quotes are doubled before binding, so MATCH operators such as `OR`, `NEAR`, quotes, parentheses, and `*` remain data rather than executable query syntax. NUL is rejected before SQLite execution. Reserved highlight noncharacters and NUL in documents are normalized before indexing, making inserted presentation markers collision-free. Phrase matching follows tokenizer tokens rather than arbitrary substrings.
## Tokenizer choice
Both persistent and live FTS5 tables use `unicode61`. The implementation experiment found that this tokenizer supports the two-character token `AI` and produces an index about 2.1× smaller than the trigram alternative. The accepted limitation is token/phrase recall: `AI` does not match the larger token `BRAID`, and arbitrary substring search uses the provider-independent text scan instead.
## Extraction and reconciliation
The shared extractor includes message text, reasoning, nested tool-call/result content, tool names and arguments, blocked-prompt reasons, todo status/content, and error or terminal status detail. Structural boundaries, stream chunks, request headers, successful completion markers, and unknown declaration-merged event/content variants produce no document. Surface classification reuses `foldSurface()` so search agrees with model-history derivation.
One serialized operation reads the provider-neutral `SessionPersistence` snapshot listing, compares each source-qualified opaque revision with the revision stored beside the indexed session, loads only new or changed logs, reconciles rows in one transaction, and executes the query. A revision identifies its backing persistence store as well as the backend-local log revision, so reopening against the same store reuses indexed rows while switching to an independent store cannot collide on a session id and local counter. Observation repeats when listing changes during a load; this incorporates a mutating load repair's refreshed revision before commit. Repeated queries and unchanged reopen load no full persisted logs. New, changed, and deleted sessions update on the next stable search. A source or extraction failure cannot mark a row current, and a transaction failure rolls back so a later search retries.
Persisted documents survive restarts. Live sessions use connection-local TEMP tables, shadow the persisted base for the same id, and reveal that base on detach. Closing the database drops live rows. Unmounting persistence hides durable rows without treating absence as authoritative deletion; remounting observes and reconciles the backend again. Conflicting immutable live and durable headers fail rather than combining sources.
The derived schema has its own application id and monotonic schema version. A recognized incompatible version resets only this derived database. A database with a foreign application id or unrecognized user tables is refused before journal-mode mutation, which prevents an accidentally configured canonical session database from being changed. One service in one process exclusively owns a derived-index path; cross-process writers are unsupported because generations and live TEMP shadow state are connection-owned.
Cancellation rejects queued operations and caller waits around asynchronous source observation without committing an aborted observation. Node's synchronous `DatabaseSync` MATCH call cannot be interrupted once it is executing on the JavaScript thread, so the service checks the signal at serialized boundaries but does not promise mid-statement preemption.
## Alternatives considered
- **Add FTS tables to the canonical persistence database** — rejected because a rebuildable index must not share the authoritative log's schema, reset, or failure boundary.
- **Add a phase-one provider registry and coordinator** — rejected because one implementation provides no evidence for registration semantics and would split one reconciliation lifecycle across two owners.
- **Persist live overrides immediately** — rejected because live events are not canonical until the existing checkpoint commits.
- **Use the FTS5 trigram tokenizer** — rejected because it omits useful queries shorter than three characters and measured about 2.1× the index size of `unicode61`; literal substring filtering remains available through the scan path.
- **Use FTS5 BM25 independently in each table** — rejected because scores from differently populated persistent and TEMP corpora are not comparable; actual matched spans and document length have one shared scale.
## Consequences
Search has a small provider-neutral API while its only backend owns every derived-index state transition. The separate database adds configuration and a lightweight snapshot read before queries, but index corruption, reset, and tokenizer changes cannot endanger canonical logs. Durable revisions avoid full-log reads and rewrites for unchanged sessions; TEMP live overlays preserve current-session truth without making uncheckpointed events durable.
The chosen tokenizer supports short tokens with a smaller index but does not promise substring recall. Literal phrases make query syntax safe and predictable at the cost of excluding boolean/full MATCH expressions. Cancellation is effective while queued or awaiting sources, but synchronous SQLite execution remains a non-preemptible section.
Unit coverage pins extraction, filters, both search scopes, all default surfaces, metadata-before-ranking, snippets, literal escaping, deterministic ties, complete pagination, scoped cursor invalidation, dynamic persistence mount/unmount, restart reconciliation, live shadow/reveal/reopen, schema safety, rollback retry, and queued/in-flight source-wait cancellation. A keyless real-Loader-path test combines the package with the real SQLite persistence backend.

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# Agent Note: Configure subagent persona, tool visibility, and depth
Status: implemented
## Problem
A reusable subagent provider answers how to run a child, but different delegation tools need different child behavior. One deployment may want a reviewer persona, a research-only tool set, or a hard recursion bound without creating a new provider for every combination.
These controls affect the child's first model request and therefore cannot be installed after the child is visible. They also need honest provider support: an ACP backend cannot silently accept an in-process-only tool filter, and a filter must not be described as a security boundary when every plugin runs in the same trusted process.
## Decision
Subagent starts have three independent composition controls: `persona`, `toolFilter`, and `maxDepth`. A provider advertises support for each control, the service rejects unsupported requests before starting a run, and an in-process provider installs the requested composition while the child is still unpublished.
The controls answer different questions:
| Control | Question | Result |
|---|---|---|
| `persona` | What role instructions replace the deployment persona for this child? | A child-local prompt section shadows `deployment:persona` |
| `toolFilter` | Which deployment-global tools enter this child's visible tool view? | A scoped restriction filters globals before child-local tools are added |
| `maxDepth` | How deep may this delegation tree grow? | A start whose child depth exceeds the absolute cap is rejected |
`dsh-tool-subagent` exposes the controls as plugin configuration and copies them into each request it creates. Direct `SubagentService` callers may choose them per request. The provider capability descriptor remains the source of truth for whether a backend can honor each field.
### Persona is a scoped shadow
The persona control changes one child without changing deployment-wide prompt assembly. During unpublished setup, an in-process provider registers a child-scoped section named `deployment:persona`; ordinary most-specific-wins resolution replaces the global section only in that child's assemblies.
The value has the same strict template semantics as the deployment persona. Omitting it inherits the deployment section through the global layer; an explicit empty string shadows the global persona with an empty section. Parent and sibling personas never enter the child's flat scope.
This uses the normal system-prompt registration mechanism rather than a second persona channel. The first prompt therefore sees the same named contribution that later prompts and prompt-inspection tools see.
### Tool filtering is one live global-view rule
The tool filter controls capability visibility and executable lookup together. An in-process provider installs `ToolRegistry.restrict()` in the child's scope before publication, and the registry's single resolver applies the same result to wire tool schemas, lookup, execution, and Code Mode SDK generation. Independently registered system-prompt sections are outside `ToolRegistry`, so filtering a tool does not remove that plugin's standalone guidance.
Resolution follows these rules:
1. Each restriction applies `allow` before `deny` to the live deployment-global tool registry.
2. Multiple restrictions intersect, so every installed restriction must admit a global tool.
3. Child-scoped tools are added after global filtering and may shadow an admitted global tool.
4. Reserved `run_code` presentation and other scope-local protocol contributions are outside the global filter.
Configuration fails loudly when a filter supplies neither `allow` nor `deny`, or names something outside the current global restrictable set, including a scope-local-only or reserved name. `allow: []` is valid and deliberately hides every global tool. These checks catch misspellings and prevent configuration from appearing effective when it cannot affect the named entry.
The global registry remains live. A deny-only filter admits a later global name unless it explicitly denies that name; an allow-list excludes a later global name unless it explicitly allows that name. Removing a global tool removes it from every resolved view. These semantics preserve hot registration while making the difference between allow and deny explicit.
### Depth is an absolute tree cap
The depth limit bounds recursive delegation independently of tool visibility. A top-level agent has depth zero; an in-process child has its parent's validated depth plus one. `maxDepth` is an absolute non-negative safe integer, and a start rejects before child ownership begins when the derived child depth is greater than the cap.
The effective parent depth is the greater of durable `SessionHeader.delegationDepth` and runtime `AgentOptions.subagentDepth`. An in-process child records its derived depth in the session header, and resume restores that header, so a restart cannot lower the recursion count.
Every public entry validates the domain rather than relying on one model-facing configuration path. Negative values, fractions, negative zero, non-finite values, unsafe integers, malformed stored parent depth, and derived overflow all reject. A direct `SubagentStartRequest` may omit the cap to leave depth unbounded; loader-resolved `dsh-tool-subagent` configuration instead defaults to `3`, accepts a numeric override, and uses explicit `'provider-managed'` to omit the cap for an out-of-process provider whose deployment owns its recursion budget. Three is a small finite default that still permits a root plus three descendant generations: the [SDK helper's generated subagent entries](../../../../packages/sdk/helper/src/features/builtin/index.ts) and [JSON-RPC example](../../../../examples/jsonrpc-agent/cordis.yml) use that general policy, while the shipped interactive ACP, headless, and REPL examples pin one. A numeric tool cap fails at provider mount when the provider lacks `depthLimit`.
A deployment can combine depth and filtering, but the numeric cap does not synthesize a filter. The delegation tool stays visible at the cap because authorization may depend on runtime state; every attempted start checks the calling agent's current durable and runtime depth, and a rejected start returns an errored tool result without publishing a child. A deployment may separately deny delegation tools in children when its visibility policy is static. Neither choice changes the provider's conversation-history behavior.
### Capability gating keeps providers honest
Capabilities separate a requested feature from a provider implementation. `SubagentCapabilities` advertises `persona`, `toolFilter`, and `depthLimit`; `SubagentService.start()` checks every present request field against those flags before calling the provider.
This lets spawn and fork providers share the in-process implementation while external providers advertise only what they can enforce. A request never degrades silently: selecting an unsupported control produces `UNSUPPORTED_CAPABILITY`, and no run or lifecycle event exists.
### Unpublished setup makes the first request correct
All child-local composition is complete before the child becomes observable. The in-process provider supplies one setup callback to agent creation; that callback installs persona, tool restriction, and structured-output contributions in the child's scope. Only after setup succeeds does creation publish the session and agent and allow the driver to start.
A setup failure rolls back the private child. No observer can acquire a child whose first prompt used the deployment persona or unfiltered tool set and whose later prompts use the requested configuration.
## Visibility is not authority
These controls compose trusted same-process behavior; they do not authorize it. `toolFilter` changes the child view resolved by the tool registry, but it does not create a parent-to-child grant lattice, require a child to be a subset of its parent, sandbox plugins, or prevent code with another Cordis context from calling services directly.
In particular, a child-local tool is added after the global filter and may be absent from the parent's view. A deny-only child also sees later global tools not named by the deny-list. Those are deliberate live-composition semantics, not non-escalation guarantees.
A security design would need a separate authority representation, propagation rule, and execution-time enforcement point. Creation-time grant snapshots, parent-subset grants, explicit future-grant APIs, and generic capability/output/termination tags are outside this feature.
## Alternatives considered
**Create one provider per persona or tool set.** This multiplies providers that share the same transport and lifecycle implementation, makes dynamic deployment configuration awkward, and still needs a recursion mechanism. Providers remain about execution transport; requests carry per-child composition.
**Copy the parent's complete tool view.** Registration scope is flat by design, and lifetime ownership does not imply visibility inheritance. Copying a resolved view would also freeze dynamic global registrations and conflate composition with authority without defining either contract fully.
**Snapshot allowed global tools at child creation.** A frozen allow-set makes future registration uniformly unavailable, but it changes hot-registration semantics and starts an authorization design. The implemented filter stays a live registry predicate and documents allow-versus-deny behavior directly.
**Hide only tool schemas.** Presentation-only filtering lets the model execute a tool that the prompt says does not exist through Code Mode or a forged call. One resolver governs both presentation and execution instead.
**Encode the depth cap as an automatic tool filter.** A creation-time filter snapshots a decision that may depend on runtime state, affects only one configured tool name, and does not protect direct service callers or alternate delegation tools. The provider instead enforces the absolute cap at every start.
## Consequences
Contributors can configure child role, visible global tools, and recursion without defining new providers. Capability checks fail before ownership starts, unpublished setup makes the first request consistent, and one tool resolver prevents presentation/execution drift.
The cost is that deployments must understand live allow/deny behavior and the distinction between visibility and authority. A model may call a visible delegation tool after the current depth policy forbids another child and receive an error. Provider authors must advertise each supported control accurately, and in-process providers must install every requested contribution before publication. The controls deliberately do not solve security confinement or parent-to-child non-escalation.

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# Agent Note: Session query relationship tracing
Status: implemented
## Problem
Session relationships are encoded across immutable headers, positional surface operations, and logged provenance arrays. A consumer reconstructing those relationships directly would need to duplicate corpus precedence, surface folding, malformed-log handling, deterministic lineage ordering, and cloning. Positional replacement and provenance are different graphs, so collapsing them into one generic edge type would also lose meaning.
## Decision
`ctx.sessionQuery` exposes `traceSession(sessionId)` and `traceEvent({ sessionId, seq })` alongside its exact reads. Both are one-shot views over the existing live-preferred corpus: session tracing consumes one complete corpus listing, while event tracing consumes one loaded logical log and one canonical surface fold. The service retains no lineage, reverse-index, or replacement state after a call.
`SessionLineageTrace` returns the target, known parents in immediate-to-outward order, and recursive descendant trees whose siblings sort by creation time and then session id. `complete: true` carries the known root; `complete: false` carries the first unresolved parent id. A cycle connected to the target fails with `SESSION_QUERY_INVALID_LINEAGE`.
`SessionEventTrace` keeps positional and provenance relationships separate. `replacedBy` is the immediate positional replacer, `replacementChain` follows replacers to the final node, and `replacedEventSeqs` lists the actual surface nodes directly removed by the target. `sourceEventSeqs` preserves direct logged source order, while `derivedEventSeqs` lists later direct reverse references in log order. Provenance is not expanded transitively.
## Validation boundary
Event tracing checks target existence before surface analysis. Both event listing and tracing then use `dsh-session`'s one-pass surface fold, which accepts or rejects the loaded log as a whole: event seqs are zero-based and contiguous, surface markers obey event-type eligibility, provenance belongs only to surface event types, present arrays are nonempty and duplicate-free, every source is an earlier seq, and every positional replacement names and cites all surface nodes it removes. Every contract failure uses `SESSION_QUERY_INVALID_SURFACE`; there is no weaker classification-only surface standard.
All returned records and arrays are detached. A known live event trace never consults persistence; persisted event traces preserve the exact-read list/load consistency check. Session lineage is necessarily a cross-corpus operation and therefore preserves cross-corpus persistence failure semantics.
## Alternatives considered
- **Expose standalone tracing helpers** — rejected because the source-precedence and detachment boundary belongs to `ctx.sessionQuery`; public helpers would invite callers to bypass it.
- **Combine replacement and provenance edges** — rejected because a positional replacement can shadow surface nodes while also citing non-surface construction inputs, and consumers need to distinguish those meanings.
- **Return transitive provenance closure** — rejected because it obscures logged direct evidence, increases result size, and lets one malformed distant edge alter otherwise local output.
- **Best-effort traces over malformed provenance** — rejected because a structurally plausible partial graph would look authoritative. Exact inspection fails loudly when the canonical relationship contract is broken.
## Consequences
Consumers receive deterministic relationship views without a cache or second corpus. Event tracing performs whole-log validation and allocation on each call, while lineage tracing lists the complete logical corpus on each call. Those costs keep the source of truth explicit and are separate from the content-bearing full-text-search and filtering API.
The feature has unit and service-level coverage but no snapshot or end-to-end fixture because it introduces no model-facing consumer, transcript change, or cross-process protocol.

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-14-cross-family-fs-sandbox.md: e8a59be345b52f7684c574134b37f48bc49843fc
2026-07-14-cross-family-fs-sandbox.zh.md: 92bc5a495a7c20a08bc85ef9dbf1a1beffe6264f

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# Agent Note: Cross-family file sandbox — one policy home, a sandboxed fs provider, and fs escalation parity
Status: implemented
English | [中文](2026-07-14-cross-family-fs-sandbox.zh.md)
## Problem
`SandboxMode` claims file effects, but originally only `ctx.bash` enforced it. The fs tools (`write`/`edit`) mutate the host filesystem in-process through `ctx.fs`, where an OS argv wrapper is mechanically meaningless — [the sandbox Agent Note](2026-07-06-sandbox.md) § In-process tools records this and left cross-family enforcement as a deferred phase with an open question: whether in-process enforcement stays per-seam or becomes a uniform harness capability. This Agent Note is that phase, and answers it: one shared policy home, per-seam enforcement at each family's correct altitude.
The gap was not read-only-shaped. A confined coding agent's product mode is `workspace-write`: bash may already write under the workspace root while everything outside is denied, so an fs enforcement that could only deny-all would be strictly worse than disabling the fs tools — the model would attempt an in-workspace `write`, be denied, and learn to detour through `bash` heredocs. Cross-family enforcement therefore speaks the full mode ladder, including the path-containment judgment `workspace-write` requires (canonical targets; `..`/symlink/absolute-path escapes) and the same escalation lever bash carries.
A second enforcing family also exposed an ownership problem in the original layout. The deployment default (`mode` + `workspaceRoot`) was configured on `dsh-bash-sandbox`, and the per-session override event was `bash/sandbox-mode`, folded and written by `dsh-bash`'s session-mode kit. With fs enforcing the same policy, either fs reads bash's config and events (a capability family depending on a sibling's plugin config) or each family carries its own copy — and two copies of `workspaceRoot` drift into exactly the split world the sandbox RFC warns about: bash confined to one root while fs fences another.
## Decision
Three coordinated pieces, all composed from the leaf `cordis.yml`, none touching `agent-loop`.
### `ctx.sandboxPolicy` — one home for mode and workspace root
`packages/sandbox/sandbox-policy/` (`@deepseek-ai/dsh-sandbox-policy`) registers `ctx.sandboxPolicy`, the single owner of the deployment's sandbox policy:
- `Config`: `mode` (the closed `SandboxMode` union, default `read-only`) and `workspaceRoot` (default the process cwd, resolved absolute). Misconfiguration fails loud at load.
- The per-session override event `sandbox/mode`, with its pure fold (`effectiveSandboxMode(events)`), its write path (`setSandboxMode(session, mode)`), and `SANDBOX_MODES`. The event is policy state — consumed by two families — so it lives here, not in either capability's seam. Its shape and log-only semantics match the `approval/*` precedent.
- `resolve({ session?, mode? })`, which returns a complete per-call `SandboxExecutionPolicy`: explicit approved mode > the session fold > `defaultMode`, and the session's immutable cwd > configured `workspaceRoot` fallback.
- `defaultMode` / `workspaceRoot` accessors retained as deployment fallbacks and the capability-advertisement fact.
`dsh-bash-sandbox` carries no sandbox config of its own — it injects `sandboxPolicy` and uses its deployment fallback only for direct calls. `dsh-tool-bash` and `dsh-tool-fs` pass the active session to `ctx.sandboxPolicy.resolve()`, so both receive the same effective mode and cwd root on every call; `dsh-permission` presets and the ACP bridge write through the relocated setter. The seams that own bash and fs execution remain session-free — the session dependency lives in the policy package and tool consumers.
### `dsh-fs-sandbox` — enforcement inside the provider
`packages/fs/fs-sandbox/` (`@deepseek-ai/dsh-fs-sandbox`) mirrors the `bash-local`/`bash-sandbox` split: `SandboxedFileSystem extends LocalFileSystem`, registered as `ctx.fs`, injecting `sandboxPolicy`. Reads (`resolve`/`stat`/`readText`/`streamText`/`listDir`) pass through untouched — every mode permits reading. The two mutations enforce by mode before delegating to the inherited atomic write:
- `read-only` denies `writeText`/`editText` outright.
- `workspace-write` fences the canonicalized target against the writable-root set — `writableRoots(policy)` in `dsh-sandbox`: the workspace root plus the platform temp areas (`/tmp`, `os.tmpdir()`), each realpathed — the SAME set the Seatbelt profile grants, so the fs fence is the fourth dialect of one mode meaning alongside the bwrap/Landlock/Seatbelt profiles, and "the write tool cannot write `/tmp` but bash can" asymmetries cannot arise. Canonical spellings take a lexical containment fast path; when Windows exposes one directory through different casing or long-name/8.3 spellings, an ancestor walk compares filesystem identity rather than weakening the boundary to textual prefix guesses. The target is re-canonicalized (`resolve` realpaths the deepest existing ancestor) immediately before delegating, so an ancestor symlink swapped since the tool resolved it is caught.
- `danger-full-access` delegates unfenced.
A denial is the structured `FS_SANDBOX_DENIED` carrying the effective mode — distinct from `FS_PERMISSION_DENIED` (a host EACCES is the world refusing; this is policy refusing). No text inference: an in-process fence knows exactly what it denied. The per-call carrier is a trailing optional `SandboxExecutionPolicy` on `writeText`/`editText` (the filesystem twin of `BashExecRequest.sandboxPolicy`); the seam stays session-free, and the bare local backend ignores it. `FileSystem.sandboxMode` is the capability fact (`undefined` on the base and `fs-local`, the default on `SandboxedFileSystem`), so the tool layer advertises escalation from composition truth.
The threat model is stated in the package README: a policy fence in trusted code over model-controlled paths, not a kernel boundary — the operations are the seam's own, only the target path is untrusted, so canonicalize-then-contain is the complete answer to this surface (the `code-runtime` "containment, not a security boundary" precedent). Kernel-grade isolation of untrusted CODE stays `ctx.bash`'s job. The residual resolve-to-syscall race is narrowed by the in-place re-canonicalization and eliminated only by platform primitives (`openat2` `RESOLVE_BENEATH`) not worth their portability cost here.
### Tool parity — one denial marker, one escalation flow
`dsh-tool-fs` resolves the active session's complete policy onto each mutation and maps `FS_SANDBOX_DENIED` to the marker the model already knows from bash: `[sandbox: file access denied under <mode> mode]`. When `ctx.fs.sandboxMode` reports a confining mode at registration, `write` and `edit` advertise the same `sandbox_permissions` + `justification` fields, teach the same same-turn retry, and resolve the same `ctx.approval` request before executing — the four outcomes and their verbatim fail-closed texts carried over from [the sandbox Agent Note](2026-07-06-sandbox.md) § Escalation (strict widening checked at execution against the call's effective mode; a grant changes only that call's mode and retains its session root; no new session events).
The shared pieces live in `dsh-sandbox`, which owns the mode types: `WIDER_MODES`, the escalation-target enum, the argument-pairing validation, the denial/hint marker builders, and `approveEscalation` — the ordered fail-closed choreography. `approveEscalation` takes a minimal STRUCTURAL approver (`EscalationApprover`, generic over the agent and call-id types), not the approval service type, so `dsh-sandbox` gains no dependency on the approval or agent packages: each tool passes its own `ctx.approval`, agent, call id, and tool name as ingredients. `dsh-tool-bash` and `dsh-tool-fs` both use these; the cross-file duplication gate holds the single-sourcing honest.
The [`examples/acp-agent`](../../../../examples/acp-agent/cordis.yml) composition loads `dsh-sandbox-policy` and `dsh-fs-sandbox`, moves the `mode`/`workspaceRoot` config to the policy entry, and drops the old gating that disabled the fs stack under confined modes; `fs-policy` (read-before-edit) composes orthogonally on top. The system prompt still states no sandbox mode — the marker teaches the boundary at the moment it matters, per the sandbox Agent Note's live evidence.
### The enforcement point: provider, not intent gate
The sandbox Agent Note's original cross-family sketch put fs enforcement on the `fs/write-intent`/`fs/edit-intent` events. This Agent Note enforces in the provider instead, on two mechanical facts: the intent slots are single-decision first-wins (occupied by `dsh-fs-policy`, whose contract names a second decider a misconfiguration), and the intent events are dispatched only by `dsh-tool-fs` — a direct `ctx.fs` caller (a cordis-mounted plugin, a custom tool) bypasses them, where provider-level enforcement covers every caller by construction. The sandbox Agent Note's deferred-phase wording is updated to match in the same change.
### Out of scope
- **Network policy for `ctx.web`** — `SandboxMode` claims file effects only; a web-only network knob while bash `curl` runs free would be a false boundary. Revisit when a bash backend enforces network (bwrap `--unshare-net`, Landlock ABI v4+).
- **The `subagent-acp` consumer** — unchanged deferred phase of the sandbox RFC.
- **Additional writable roots inside one session** — the resolved policy carries one primary `SessionHeader.cwd`; ACP `additionalDirectories` remains a separate bridge and policy design.
- **A uniform per-tool sandbox runtime** — remains rejected for the reasons in the sandbox RFC.
## Alternatives considered
- **Enforce on the `fs/*` intent events (the sandbox Agent Note's original sketch)** — rejected on the two mechanical facts in § The enforcement point: single-slot first-wins already occupied, and a bypass for direct `ctx.fs` callers. Provider-level enforcement covers every caller and mirrors bash's swap-the-implementation shape.
- **Enforce in `tools/pre-execute`** — rejected: the listener sees the model's raw path string before `resolve()`, so it would re-implement cwd defaulting and symlink canonicalization and still race the real resolve. Disqualifying for `workspace-write`, a judgment over canonical paths.
- **Inline checks in `dsh-tool-fs`** — rejected: covers only the tool path (same bypass as the intent events) and duplicates resolve knowledge one layer above where the canonical target already exists.
- **A `mode` flag on `dsh-fs-local` instead of a sibling backend** — rejected: the capability fact must be composition truth the way `dsh-bash-local` vs `dsh-bash-sandbox` is; a config flag makes the tool's advertisement conditional on configuration, and the bash family already establishes the sibling-package shape.
- **Kernel-enforced fs mutations via a confined helper subprocess** — rejected: a process per write; `editText`'s read-match-write critical section would have to move wholesale into the child to stay atomic; and the threat surface (trusted operations, untrusted path argument) does not need a kernel — the fence in trusted code is the complete answer, while untrusted-code isolation stays on `ctx.bash`.
- **Per-family policy config with a load-time consistency check** — rejected: two homes for one fact, patched by a check that must enumerate every future enforcing family; the policy service makes drift inexpressible instead of detected.
- **Keep the override event in `dsh-bash` as `bash/sandbox-mode`** — rejected: the event is policy state consumed by two families; leaving it bash-named forces `dsh-fs-sandbox` to depend on bash vocabulary. Pre-release, the rename is a same-change move with snapshot re-records, no shims.
- **Escalation choreography imported from the approval/agent packages into `dsh-sandbox`** — rejected: it would invert the layering (a base vocabulary package depending on UI/agent packages). The structural approver keeps the logic single-sourced in `dsh-sandbox` while the dependencies stay in the tool layer that already holds them.
- **A consolidated mutation-options object on the fs seam** (the shape first sketched for the per-call carrier) — rejected on friction: it splits `signal` across an options bag for mutations while reads keep it positional. A trailing optional `SandboxExecutionPolicy` matches bash's carry-and-ignore pattern and keeps `signal` symmetric across the seam.
- **Extra writable-root grants on `SandboxPolicy` now** — deferred unchanged: `writableRoots()` derives from the mode meaning today; ad-hoc grants are an escalation-scope question the sandbox RFC left open.
## Consequences
What shipped — the tiers in § Testing hold each:
- Under `read-only`, `write`/`edit` return the `[sandbox: file access denied under read-only mode]` marker and the disk is untouched; `read`/`listDir` behave identically to `dsh-fs-local`.
- Under `workspace-write`, mutations land under the workspace root and the temp areas and are denied outside; the containment matrix — `..` traversal, absolute paths outside, a pre-existing symlinked directory inside pointing out, a new file created under such a symlink, and alias-equivalent root spellings — denies every escape while admitting the same directory identity on real disks.
- A denied fs mutation retried once with `sandbox_permissions` + `justification` prompts through the composed approval chain; a grant runs exactly that call under the wider mode and the write lands; rejected/cancelled/unavailable each produce their verbatim fail-closed text and mutate nothing.
- One `permission` preset switch governs both families: after a session switches modes, the next bash call and the next fs mutation both honor the new mode from the same `sandbox/mode` fold.
- Concurrent sessions with different cwd roots carry different policies through the same service instances; neither family caches one session's root for the next call.
- A direct `ctx.fs.writeText` with no per-call stamp is confined at the deployment default.
- The escalation fields on `write`/`edit` exist exactly when the mounted `ctx.fs` confines, absent under `dsh-fs-local`.
- `agent-loop` is untouched — everything rides `ctx.sandboxPolicy`, the `ctx.fs` seam, `SessionEventMap` merging, and the tool-execution pipeline.
Costs and accepted limits:
- **The fs fence is a policy boundary, not a kernel one.** Its threat surface is model-chosen paths, not adversarial host processes; the residual resolve-to-syscall TOCTOU is narrowed, not eliminated, and the README says so. Kernel boundaries remain bash's.
- **`dsh-bash-sandbox` gains a hard dependency on `ctx.sandboxPolicy`.** Every sandboxed composition adds one `cordis.yml` entry or fails loud at load — the intended pre-release foundation move; the examples update in the same change.
- **Fence-vs-runner parity is derived, not asserted.** The fs fence and the Seatbelt profile both take their writable set from `writableRoots`, and a parity unit test pins the sets; a runner profile changing its writable set without that function would drift.
- **The marker and escalation teaching now serve two families.** A wording change is a coordinated edit behind one builder in `dsh-sandbox`; the duplication gate and pinned snapshots hold it single-sourced, at the cost that fs and bash cannot deliberately diverge in phrasing without splitting the builder.
## Testing
- Unit: `dsh-sandbox` pins the escalation ladder, the marker builders, the argument-pairing validation, and `approveEscalation`'s ordered fail-closed sequence (non-widening, no-approval, no-agent, each outcome), plus `writableRoots`/`canonicalPath`. `dsh-sandbox-policy` pins deployment fallback, session mode/root resolution, explicit-mode precedence, the fold/setter, load-time mode rejection, and HMR safety. `dsh-fs-sandbox` pins the per-policy fence and containment matrix (inside, temp area, absolute-outside, `..`, symlinked-out directory, new file under one, path-equals-root, filesystem-root, root-ending-in-separator, and alias-equivalent spelling) on a real filesystem, plus per-call override and HMR safety. `dsh-tool-fs` pins advertisement gating, complete policy resolution, denial-marker mapping, and the full escalation matrix (grant, reject, no-service, no-agent, pairing, non-confining guard). `dsh-tool-bash`, `dsh-bash-sandbox`, and `dsh-permission` consume the same policy kit.
- Keyless e2e: one real Cordis context creates two agents with different session cwd roots, runs the shipped bash and fs tools concurrently, and world-verifies that own-project writes land while both cross-project writes are denied.
- Snapshot: the acp-agent example composes `dsh-sandbox-policy` + `dsh-fs-sandbox`; the pinned header carries the fs escalation fields and the `sandbox/mode` event name, re-recorded once.

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# Agent Note: 跨家族文件沙箱——统一策略归属、沙箱化 fs 提供方、fs 升级对等
Status: implemented
[English](2026-07-14-cross-family-fs-sandbox.md) | 中文
## 问题
`SandboxMode` 声明的是文件效果,但最初只有 `ctx.bash` 执行它。fs 工具(`write`/`edit`)在进程内经由 `ctx.fs` 变更宿主文件系统,那里的 OS argv 包装在机制上毫无意义——[沙箱 RFC](2026-07-06-sandbox.md) § In-process tools 记录了这一点,并把跨家族执行留作一个延后阶段,附带一个未决问题:进程内执行是各 seam 各自表达,还是变成一个统一的 harness 能力。本 Agent Note 就是那个阶段,并给出答案:一个共享的策略归属,在每个家族各自正确的高度上做 per-seam 执行。
这个缺口不是 read-only 形状的。一个受限编码 agent 的产品模式是 `workspace-write`:bash 已经可以在工作区根目录下写入,而其外的一切都被拒绝,所以一个只能全部拒绝的 fs 执行会严格劣于禁用 fs 工具——模型会尝试在工作区内 `write`,被拒,然后学会绕道 `bash` heredoc。因此跨家族执行必须讲完整的模式阶梯,包括 `workspace-write` 要求的路径包含判定(规范化目标;`..`/符号链接/绝对路径逃逸),以及与 bash 相同的升级杠杆。
第二个执行家族还暴露了原布局中的一个归属问题。部署默认值(`mode` + `workspaceRoot`)配置在 `dsh-bash-sandbox` 上,而 per-session 覆盖事件是 `bash/sandbox-mode`,由 `dsh-bash` 的 session-mode 工具集折叠与写入。当 fs 执行同一套策略时,要么 fs 读取 bash 的配置与事件(一个能力家族依赖同级插件的配置),要么各家族各持一份副本——两份 `workspaceRoot` 会漂移进沙箱 RFC 警告过的那个割裂世界:bash 受限于一个根,而 fs 围栏另一个根。
## Decision
三个相互协调的部分,全部在叶子 `cordis.yml` 中组合,均不触及 `agent-loop`。
### `ctx.sandboxPolicy`——mode 与工作区根的统一归属
`packages/sandbox/sandbox-policy/`(`@deepseek-ai/dsh-sandbox-policy`)注册 `ctx.sandboxPolicy`,即部署沙箱策略的唯一所有者:
- `Config`:`mode`(封闭的 `SandboxMode` 联合,默认 `read-only`)与 `workspaceRoot`(默认进程 cwd,解析为绝对路径)。配置错误在加载时高声失败。
- per-session 覆盖事件 `sandbox/mode`,连同它的纯折叠(`effectiveSandboxMode(events)`)、写入路径(`setSandboxMode(session, mode)`)与 `SANDBOX_MODES`。该事件是策略状态——被两个家族消费——所以它住在这里,而不在任一能力的 seam 里。它的形状与仅日志(log-only)语义遵循 `approval/*` 的先例。
- `resolve({ session?, mode? })` 返回完整的单次调用 `SandboxExecutionPolicy`:显式批准的模式 > 会话折叠结果 > `defaultMode`,而会话中不可变的 cwd > 配置的 `workspaceRoot` 回退值。
- 保留 `defaultMode` / `workspaceRoot` 访问器,作为部署回退值与能力宣告依据。
`dsh-bash-sandbox` 自身不再携带任何沙箱配置——它注入 `sandboxPolicy`,仅在直接调用时使用其中的部署回退值。`dsh-tool-bash` 与 `dsh-tool-fs` 把当前会话传给 `ctx.sandboxPolicy.resolve()`,因此两者每次调用都会取得相同的生效模式与 cwd 根目录;`dsh-permission` 预设与 ACP bridge 经由迁移后的 setter 写入。拥有 bash 与 fs 执行的 seam 仍不依赖会话——会话依赖归策略包与工具消费方所有。
### `dsh-fs-sandbox`——在提供方内部执行
`packages/fs/fs-sandbox/`(`@deepseek-ai/dsh-fs-sandbox`)镜像 `bash-local`/`bash-sandbox` 的拆分:`SandboxedFileSystem extends LocalFileSystem`,注册为 `ctx.fs`,注入 `sandboxPolicy`。读取(`resolve`/`stat`/`readText`/`streamText`/`listDir`)原样透传——每种模式都允许读。两个变更操作在委托给继承来的原子写之前按模式执行:
- `read-only` 直接拒绝 `writeText`/`editText`。
- `workspace-write` 把规范化后的目标围栏于可写根集合——`dsh-sandbox` 中的 `writableRoots(policy)`:工作区根加上平台临时目录(`/tmp`、`os.tmpdir()`),各自 realpath——与 Seatbelt profile 授予的是同一个集合,所以 fs 围栏是这一个模式含义在 bwrap/Landlock/Seatbelt profile 之外的第四种方言,因此不会出现「write 工具不能写 `/tmp` 而 bash 能」的不对称。规范化路径写法采用词法包含的快速路径;当 Windows 以大小写不同的路径、长文件名或 8.3 短文件名表示同一目录时,系统会逐级遍历祖先目录并比较文件系统身份,而不会把边界弱化为依据文本前缀猜测包含关系。目标在委托前被立即重新规范化(`resolve` 对最深的既有祖先做 realpath),因此自工具解析该目标以来被换出的祖先符号链接会被捕获。
- `danger-full-access` 不加围栏地委托。
拒绝是结构化的 `FS_SANDBOX_DENIED`,携带生效模式——区别于 `FS_PERMISSION_DENIED`(宿主 EACCES 是世界在拒绝;这里是策略在拒绝)。无文本推断:进程内围栏确切知道它拒绝了什么。per-call 载体是 `writeText`/`editText` 上一个末尾可选的 `SandboxExecutionPolicy`(文件系统侧对应 `BashExecRequest.sandboxPolicy`);该 seam 保持无会话依赖,而裸的本地后端会忽略它。`FileSystem.sandboxMode` 是能力事实(在基类与 `fs-local` 上为 `undefined`,在 `SandboxedFileSystem` 上为默认值),所以工具层按组合真相来宣告升级。
威胁模型写在包 README 里:一道位于可信代码中、针对模型可控路径的策略围栏,而非内核边界——操作是 seam 自身的,只有目标路径不可信,所以「先规范化再判包含」是对这个面的完整答案(`code-runtime` 的「containment, not a security boundary」先例)。对不可信代码的内核级隔离仍是 `ctx.bash` 的职责。resolve 到系统调用之间残留的竞态被就地重新规范化收窄,只有平台原语(`openat2` `RESOLVE_BENEATH`)能彻底消除它,而那在此不值其可移植性代价。
### 工具对等——一个拒绝标记、一条升级流程
`dsh-tool-fs` 把当前会话解析成完整策略,并传给每次变更,同时将 `FS_SANDBOX_DENIED` 映射为模型已从 bash 认识的标记:`[sandbox: file access denied under <mode> mode]`。当 `ctx.fs.sandboxMode` 在注册时报告一个受限模式,`write` 与 `edit` 宣告相同的 `sandbox_permissions` + `justification` 字段,教授相同的同回合重试,并在执行前解析相同的 `ctx.approval` 请求——四种结果及其逐字的 fail-closed 文案沿用自[沙箱 RFC](2026-07-06-sandbox.md) § Escalation(执行时根据调用的生效模式检查是否严格加宽;授权只改变当前调用的模式,并保留其会话根目录;不产生任何新会话事件)。
共享部分住在 `dsh-sandbox`,它拥有模式类型:`WIDER_MODES`、升级目标枚举、参数配对校验、拒绝/提示标记构造器,以及 `approveEscalation`——有序的 fail-closed 编排。`approveEscalation` 接收一个最小的结构化 approver(`EscalationApprover`,对 agent 与 call-id 类型泛型化),而非审批服务类型,所以 `dsh-sandbox` 不获得对 approval 或 agent 包的依赖:每个工具把自己的 `ctx.approval`、agent、call id 与工具名作为原料传入。`dsh-tool-bash` 与 `dsh-tool-fs` 都使用它们;跨文件重复检测门禁确保单一来源不走样。
[`examples/acp-agent`](../../../../examples/acp-agent/cordis.yml) 组合加载 `dsh-sandbox-policy` 与 `dsh-fs-sandbox`,把 `mode`/`workspaceRoot` 配置移到策略条目,并去掉在受限模式下禁用整个 fs 栈的旧门控;`fs-policy`(read-before-edit)正交地叠加其上。系统提示仍然不陈述沙箱模式——标记会在真正重要的那一刻教会模型边界,依据沙箱 RFC 的线上证据。
### 执行点:提供方,而非 intent gate
沙箱 RFC 最初的跨家族草图把 fs 执行放在 `fs/write-intent`/`fs/edit-intent` 事件上。本 Agent Note 改为在提供方中执行,基于两个机制性事实:intent 槽是单决策、先到先得(已被 `dsh-fs-policy` 占据,其契约称第二个决策者为配置错误),且 intent 事件只由 `dsh-tool-fs` 派发——一个直连 `ctx.fs` 的调用方(一个 cordis 挂载插件、一个自定义工具)会绕过它们,而提供方级执行按构造覆盖每一个调用方。沙箱 RFC 的延后阶段措辞在同一变更中被更新以匹配。
### 范围之外
- **`ctx.web` 的网络策略**——`SandboxMode` 只声明文件效果;在 bash `curl` 畅通时给一个仅限 web 的网络旋钮会是一道假边界。待某个 bash 后端能执行网络(bwrap `--unshare-net`、Landlock ABI v4+)时再议。
- **`subagent-acp` 消费者**——沙箱 RFC 中未变的延后阶段。
- **单个会话中的额外可写根目录**——解析后的策略携带一个主要 `SessionHeader.cwd`;ACP `additionalDirectories` 仍是独立的 bridge 与策略设计问题。
- **统一的 per-tool 沙箱运行时**——因沙箱 RFC 中的理由继续否决。
## Alternatives considered
- **在 `fs/*` intent 事件上执行(沙箱 RFC 的原始草图)**——因 § 执行点 中的两个机制性事实被否决:单槽先到先得且已被占据,以及对直连 `ctx.fs` 调用方的绕过。提供方级执行覆盖每一个调用方,并镜像 bash 的换实现形态。
- **在 `tools/pre-execute` 中执行**——否决:监听器在 `resolve()` 之前看到模型的原始路径字符串,因此它会重新实现 cwd 默认化与符号链接规范化,并且仍与真正的 resolve 竞态。对 `workspace-write`(一个对规范路径的判定)而言是取消资格级的。
- **在 `dsh-tool-fs` 中做内联检查**——否决:只覆盖工具路径(与 intent 事件同样的绕过),并在规范目标已存在之上重复了一层 resolve 知识。
- **在 `dsh-fs-local` 上加一个 `mode` 标志而非同级后端**——否决:能力事实必须是组合真相,正如 `dsh-bash-local` 对 `dsh-bash-sandbox`;一个配置标志会让工具的宣告取决于配置,而 bash 家族已经确立了同级包形态。
- **经受限 helper 子进程做内核级 fs 变更**——否决:每次写一个进程;`editText` 的读-匹配-写临界区不得不整体搬进子进程才能保持原子;而威胁面(可信操作、不可信路径参数)不需要内核——可信代码中的围栏就是完整答案,而不可信代码隔离仍在 `ctx.bash`。
- **带加载期一致性校验的 per-family 策略配置**——否决:一个事实两个归属,靠一个必须枚举每个未来执行家族的校验来打补丁;策略服务让漂移不可表达,而非被检测到。
- **把覆盖事件留在 `dsh-bash` 里作 `bash/sandbox-mode`**——否决:该事件是被两个家族消费的策略状态;保留 bash 命名会迫使 `dsh-fs-sandbox` 依赖 bash 词汇。预发布阶段,该改名是同一变更内的迁移,附带快照重录,无任何 shim。
- **把升级编排从 approval/agent 包导入 `dsh-sandbox`**——否决:那会倒置分层(一个基础词汇包依赖 UI/agent 包)。结构化 approver 让逻辑单一来源于 `dsh-sandbox`,而依赖留在本就持有它们的工具层。
- **fs seam 上一个合并的 mutation-options 对象**(per-call 载体最初草拟的形状)——因摩擦被否决:它会把 `signal` 拆进变更专用的选项包,而读取仍保持位置参数。一个末尾可选的 `SandboxExecutionPolicy` 匹配 bash 的携带并忽略模式,并使 `signal` 在整个 seam 上保持对称。
- **现在就在 `SandboxPolicy` 上加额外的可写根授权**——照旧延后:`writableRoots()` 如今由模式含义推导;临时授权是沙箱 RFC 留下的升级作用域问题。
## Consequences
已交付的部分——§ Testing 的各层各自钉住:
- 在 `read-only` 下,`write`/`edit` 返回 `[sandbox: file access denied under read-only mode]` 标记,磁盘不受触动;`read`/`listDir` 与 `dsh-fs-local` 行为一致。
- 在 `workspace-write` 下,变更落在工作区根与临时目录下,其外被拒;包含矩阵——`..` 穿越、指向外部的绝对路径、一个既有的、指向外部的工作区内符号链接目录、在这样一个符号链接下新建的文件,以及根路径的等价别名形式——在真实磁盘上拒绝每一种逃逸,同时允许文件系统认定为同一目录的路径。
- 一个被拒的 fs 变更,携带 `sandbox_permissions` + `justification` 重试一次,会经组合的审批链提示;一次授权让恰好那一次调用在更宽的模式下运行且写入落盘;rejected/cancelled/unavailable 各自产生其逐字的 fail-closed 文案且不做任何变更。
- 一次 `permission` 预设切换同时管辖两个家族:会话切换模式后,下一次 bash 调用与下一次 fs 变更都从同一个 `sandbox/mode` 折叠遵循新模式。
- cwd 根目录不同的并发会话通过同一组服务实例携带不同策略;两个家族都不会缓存某个会话的根目录供下一次调用使用。
- 一次无 per-call 盖章的直连 `ctx.fs.writeText` 会被围栏于部署默认值。
- `write`/`edit` 上的升级字段恰好在被挂载的 `ctx.fs` 受限时存在,在 `dsh-fs-local` 下不存在。
- `agent-loop` 未被触动——一切都骑在 `ctx.sandboxPolicy`、`ctx.fs` seam、`SessionEventMap` 合并,以及工具执行管线之上。
代价与接受的限制:
- **fs 围栏是策略边界,而非内核边界。** 它的威胁面是模型选定的路径,而非对抗性宿主进程;resolve 到系统调用之间残留的 TOCTOU 被收窄而非消除,README 已如实声明。内核边界仍属 bash。
- **`dsh-bash-sandbox` 获得对 `ctx.sandboxPolicy` 的硬依赖。** 每个沙箱化组合要么加一个 `cordis.yml` 条目,要么在加载时高声失败——这是有意的预发布奠基之举;示例在同一变更内更新。
- **围栏与 runner 的对等是推导出来的,而非断言的。** fs 围栏与 Seatbelt profile 都从 `writableRoots` 取其可写集合,一个对等单元测试钉住这些集合;一个 runner profile 若在不经该函数的情况下改变其可写集合便会漂移。
- **标记与升级教学如今服务于两个家族。** 措辞改动是 `dsh-sandbox` 中一个构造器背后的协调编辑;重复检测门禁与钉住的快照维持单一来源,代价是 fs 与 bash 无法在不拆分该构造器的情况下有意地在措辞上分道。
## Testing
- 单元:`dsh-sandbox` 钉住升级阶梯、标记构造器、参数配对校验,以及 `approveEscalation` 的有序 fail-closed 序列(非加宽、无 approval、无 agent、各结果),外加 `writableRoots`/`canonicalPath`。`dsh-sandbox-policy` 钉住部署回退、会话模式/根目录解析、显式模式优先级、折叠/setter、加载期模式拒绝,以及 HMR 安全。`dsh-fs-sandbox` 在真实文件系统上钉住按策略执行的围栏与包含矩阵(内部、临时目录、绝对路径-外部、`..`、指向外部的符号链接目录、其下的新建文件、路径等于根、文件系统根、以分隔符结尾的根、等价别名形式),外加 per-call 覆盖与 HMR 安全。`dsh-tool-fs` 钉住宣告门控、完整策略解析、拒绝标记映射,以及完整的升级矩阵(授权、拒绝、无服务、无 agent、配对、非受限守卫)。`dsh-tool-bash`、`dsh-bash-sandbox` 与 `dsh-permission` 使用同一套策略工具集。
- 无密钥 e2e:一个真实 Cordis 上下文创建两个 agent,其会话的 cwd 根目录各不相同;系统并发运行正式发布的 bash 与 fs 工具,再通过外部可观察结果验证各自在所属项目中的写入成功,而两次跨项目写入都被拒绝。
- 快照:acp-agent 示例组合 `dsh-sandbox-policy` + `dsh-fs-sandbox`;被钉住的 header 携带 fs 升级字段与 `sandbox/mode` 事件名,一次性重录。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-14-time-context-plugin.md: 189f75fc12fe12e9dec56fc71ea901ec2eaa8b19
2026-07-14-time-context-plugin.zh.md: 12671cb891531627fffabb7bd91a1532bc3de6b9

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# Agent Note: Optional time-context plugin
Status: implemented
English | [中文](2026-07-14-time-context-plugin.zh.md)
## Problem
The dynamic system-prompt storage and refresh decision in this record is superseded by [Durable per-step time context](2026-07-16-durable-per-step-time-context.md). The opt-in package, zoned formatting, and validation remain; the follow-up owns the current model-visible and durability contract.
An agent request has no live clock unless a deployment puts one in prompt text or gives the model a query tool. Static text becomes stale, while a tool call adds overhead to ordinary reasoning about dates, deadlines, or idle time. Without elapsed time, the model cannot distinguish an immediate follow-up from one sent hours after the preceding message.
Prompt assembly can derive both facts per step from durable session timestamps, and request-header logging can record the exact rendered value. Accumulating stale readings in conversation history or waking idle agents would violate the existing request lifecycle.
## Decision
`@deepseek-ai/dsh-time-context` is an opt-in function plugin at `packages/context/time-context/`. The `context/` product group holds bounded request-context enrichments that define neither a tool nor a service. `dsh-agent-spine-demo` and shipped examples do not load the package; deployments mount it explicitly when its token and disclosure costs are acceptable.
The plugin registers the global `context:time` system-prompt section at order 10, after the deployment persona and before tool guidance. For an active turn it emits an ISO-shaped timestamp with numeric UTC offset and IANA zone, plus a compact whole-second duration since the last model-visible message before the turn opened. Bare and idle assemblies receive an empty section.
### Previous-message baseline
At a turn's first assembly, the provider scans before `turn/start` for the latest `user/message`, `assistant/message`, `tool/result`, `context/message`, or `steering/message`. It excludes the current prompt so the duration expresses the inter-turn gap instead of approximately zero. Every refresh in that turn keeps the same baseline, and the first turn reports `unavailable (no earlier message in this session)`.
The baseline is the session event's append time, not an unlogged client timestamp. Resume and fork behavior are therefore deterministic from the durable log, and the model-visible value remains reconstructable without a new event. A backward wall-clock adjustment clamps the duration to zero.
### Refresh policy
`refreshIntervalMs` defaults to 60,000 and must be a non-negative safe integer. Every turn's first request refreshes. Later assemblies in that turn reuse the block until its age reaches the interval; `0` refreshes every step. No timer creates work during model calls, tools, or idle time because refresh is request-bound.
When `timeZone` is omitted, `Intl.DateTimeFormat` resolves the Node process's system zone once at plugin load. Node honors `TZ`; without that override, the host or container supplies the zone. An explicit value must be an IANA identifier and is validated at load. The captured zone remains stable until plugin reload, and the ISO-shaped local timestamp includes its current numeric offset so daylight-saving changes stay explicit. This is the deployment process's zone, not a remote user's zone.
### Logging and token shape
The loop records the temporal block in full `request/header` snapshots before transmission, satisfying the [reconstructable-requests contract](../architecture/2026-07-05-reconstructable-requests.md). Each request carries one current block; earlier readings do not remain in conversation history. The plugin owns the fact and contributes it through the prompt registry, following the [prompt-variables Agent Note](../architecture/2026-07-05-prompt-variables-and-tool-guidance-ownership.md) without a loop special case.
## Testing
Unit tests pin formatting, baselines, refresh policy, validation, per-agent state, disposal, and load-time system-zone capture. A real agent-loop test pins the transmitted prompt and full `request/header` snapshots. A keyless subprocess e2e boots a test-only `cordis.yml` through the real Loader and stdio app, omits `timeZone` under a controlled `TZ`, drives two turns, and verifies the persisted request headers externally. Default snapshot compositions omit the plugin, so their transcript fixtures contain no temporal block.
## Alternatives considered
- **Append a `context/message` on every turn or refresh** — rejected because readings and token cost would accumulate in history. Replacing a prior surface node would preserve its old position, while replacing the tail would hide intervening conversation.
- **Use `agent/session-prefix`** — rejected because the session-stable prefix cannot represent a per-turn or per-step clock.
- **Mutate requests in `agent/request`** — rejected because that seam shapes call config after the message boundary; inserted model content would bypass prompt-pressure accounting and request-header logging.
- **Register separate `{{current_time}}` and `{{elapsed}}` variables** — rejected because independent providers can sample different instants and require shared caching. One section records the pair atomically without a deployment-authored template.
- **Refresh from a background timer** — rejected because a new value has no consumer outside request assembly. Timer-driven `agent.inject()` would create turns and wake idle sessions merely to report time passing.
- **Keep UTC as the omitted default** — rejected because an explicitly enabled clock should follow its deployment environment unless the operator chooses UTC. `timeZone: UTC` remains available when a deployment requires it.
- **Add a time-zone detection library** — rejected because Node's `Intl` runtime already exposes the process's IANA zone. Another dependency cannot infer a remote user's zone either.
- **Mount the plugin in `dsh-agent-spine-demo`** — rejected because time zone, disclosure, token budget, and freshness are deployment policy. Opt-in keeps default context stable.
- **Place the package in `core/`** — rejected because `core/` owns the product API spine, while this plugin is an optional leaf with no service key.
## Consequences
- Opted-in models receive a zoned clock and inter-turn duration without a tool call. The system-prompt cost is fixed per request instead of growing with the session.
- An omitted `timeZone` follows the process's `TZ`, host, or container zone as observed at plugin load. Operators must configure an explicit zone when the deployment environment does not represent the intended user.
- A refresh changes the request header and can add a full `request/header` snapshot with reason `change`. `refreshIntervalMs` trades freshness against the number and size of durable full snapshots; `0` records a new value on every step whose whole-second rendering changes.
- No request exists solely to refresh time. A long-running tool leaves the prior reading until the next step assembles.
- Duration reflects harness processing time at durable append boundaries, not client-network latency before logging. Preserving a client-origin timestamp requires a separate durable input contract.

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# Agent Note:可选时间上下文插件
Status: implemented
[English](2026-07-14-time-context-plugin.md) | 中文
## 问题
本记录中的动态系统提示词存储和刷新决策已由[持久的逐步骤时间上下文](2026-07-16-durable-per-step-time-context.md)取代。需要显式启用的包(package)、分区时间格式和校验仍然保留;后续 Agent Note 负责当前的模型可见与持久性契约。
如果部署方既未在提示词中提供时钟,也未给模型提供查询工具,agent(智能体)请求就无法获得实时准确的时间。静态文本会变得陈旧,而对于日期、截止时间或闲置时长等常规推理,调用工具会增加开销。缺少已经过去的时长时,模型无法区分紧接着发送的消息与上一条消息几小时后才发送的消息。
提示词组装流程可以在每个步骤中根据持久会话时间戳派生这两项信息,请求头日志则可以记录实际渲染的确切值。在会话历史中累积陈旧读数或唤醒空闲 agent 都会违反现有请求生命周期。
## 决策
`@deepseek-ai/dsh-time-context` 是位于 `packages/context/time-context/`、需要显式启用的函数插件。`context/` 产品分组用于容纳既不定义工具、也不定义服务的有界请求上下文增强。`dsh-agent-spine-demo` 和仓库提供的示例都不会加载该包;只有当 token 与信息披露成本可接受时,部署方才显式挂载它。
该插件注册顺序值为 10 的全局系统提示词区段 `context:time`,位置在部署方角色设定之后、工具指导之前。对于活跃轮次,它会输出带数字 UTC 偏移和 IANA 时区、形似 ISO 的时间戳,以及从轮次开始前最后一条模型可见消息起算的紧凑整秒时长。未绑定 agent 或 agent 处于空闲状态时,该区段为空。
### 上一条消息基线
在轮次首次组装时,提供方会在 `turn/start` 之前查找最近的 `user/message`、`assistant/message`、`tool/result`、`context/message` 或 `steering/message`。它会排除当前提示词,使时长表达轮次间隔,而不是接近零。同一轮次中的每次刷新都保留这条基线;首个轮次报告 `unavailable (no earlier message in this session)`。
基线采用会话事件的追加时间,而不是日志中不存在的客户端时间戳。因此,恢复和 fork 行为可以从持久日志中确定性重现,模型可见值也无需新增事件即可重建。系统挂钟向后调整时,插件会将时长钳制为零。
### 刷新策略
`refreshIntervalMs` 默认值为 60,000,并且必须是非负安全整数。每个轮次的首次请求都会刷新。同一轮次中的后续组装会复用该区块,直至其存在时间达到该间隔;设为 `0` 时每个步骤都刷新。刷新仅由请求驱动,因此在模型调用、工具运行或空闲期间,计时器不会创建任务。
省略 `timeZone` 时,`Intl.DateTimeFormat` 会在插件加载时解析一次 Node 进程的系统时区。Node 会遵循 `TZ`;没有该覆盖值时,时区由主机或容器提供。显式值必须是 IANA 标识符,并在加载时接受校验。捕获的时区在插件重新加载前保持稳定,形似 ISO 的本地时间戳包含其当前数字偏移,使夏令时变化保持显式可见。该默认值代表部署进程的时区,而不是远程用户的时区。
### 日志与 token 形态
agent loop(智能体循环)会在发送前通过完整的 `request/header` 快照记录时间区块,从而满足[可重建请求契约](../architecture/2026-07-05-reconstructable-requests.md)。每个请求只携带一个当前区块;先前的读数不会保留在会话历史中。该插件拥有时间信息,并按照[提示词变量 Agent Note](../architecture/2026-07-05-prompt-variables-and-tool-guidance-ownership.md)通过提示词注册表贡献该信息,无需为循环添加特殊分支。
## 测试
单元测试固定格式化、基线、刷新策略、校验、逐 agent 状态、资源释放行为,以及系统时区在加载时的捕获行为。使用真实 agent loop 的测试固定实际发送的提示词和完整的 `request/header` 快照。无密钥子进程端到端测试通过真实 Loader 和 stdio 应用启动测试专用 `cordis.yml`,在受控 `TZ` 下省略 `timeZone`,驱动两个轮次,并从外部校验持久请求头。默认快照组合不包含该插件,因此其中的 transcript(文本记录)fixture(测试前置数据)不包含时间区块。
## 考虑过的替代方案
- **每个轮次或每次刷新都追加一条 `context/message`**——不予采纳,因为读数和 token 成本会在历史中累积。替换先前的表层节点会保留其旧位置,而替换尾部节点会隐藏中间的会话内容。
- **使用 `agent/session-prefix`**——不予采纳,因为会话期间保持稳定的前缀无法表示逐轮次或逐步骤变化的时钟。
- **在 `agent/request` 中修改请求**——不予采纳,因为该边界在消息边界之后塑造调用配置;插入模型可见内容会绕过提示词压力核算和请求头日志。
- **注册独立的 `{{current_time}}` 和 `{{elapsed}}` 变量**——不予采纳,因为独立提供方可能在不同时间点采样,并且需要共享缓存。单个区段会以原子方式记录两项信息,也不需要部署方编写时间模板。
- **通过后台计时器刷新**——不予采纳,因为请求组装之外没有消费新值的对象。由计时器驱动 `agent.inject()` 会创建轮次,并且只为报告时间流逝就唤醒空闲会话。
- **省略配置时仍默认使用 UTC**——不予采纳,因为显式启用的时钟应跟随部署环境,除非运维方选择 UTC。需要 UTC 的部署仍可配置 `timeZone: UTC`。
- **引入时区探测库**——不予采纳,因为 Node 的 `Intl` 运行时已经能够提供进程的 IANA 时区,而且额外依赖同样无法推断远程用户的时区。
- **在 `dsh-agent-spine-demo` 中挂载插件**——不予采纳,因为时区、信息披露、token 预算和新鲜度都属于部署策略。选择加入能保持默认上下文稳定。
- **将包放入 `core/`**——不予采纳,因为 `core/` 负责产品 API 主干,而该插件是没有服务键的可选叶节点。
## 后果
- 选择加入的模型无需调用工具,即可获得分区时钟和轮次间隔时长。每个请求的系统提示词成本固定,不会随会话增长。
- 省略 `timeZone` 时,插件采用加载时观察到的进程 `TZ`、主机或容器时区。当部署环境不能代表目标用户时,运维方必须显式配置时区。
- 刷新会改变请求头,并可能新增一份 reason 为 `change` 的完整 `request/header` 快照。`refreshIntervalMs` 用新鲜度换取完整持久快照的数量与大小;设为 `0` 时,每个整秒渲染结果发生变化的步骤都会记录新值。
- 系统不会仅为刷新时间而创建请求。长时间运行的工具会保留先前读数,直至下一步骤开始组装。
- 时长反映持久追加边界处的 harness 处理时间,不包含消息进入日志之前的客户端网络延迟。若要保留客户端来源时间戳,需要单独的持久输入契约。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-16-durable-per-step-time-context.md: 2d7076d51dbe1a64e5042230bddc6844141ff265
2026-07-16-durable-per-step-time-context.zh.md: 432e0305cf44dcce1053c6580c9f0039309a7af4

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# Agent Note: Durable per-step time context
Status: implemented
English | [中文](2026-07-16-durable-per-step-time-context.zh.md)
## Problem
A request-only clock can tell the model the current time, but replacing that value in the system prompt removes the evidence behind earlier time-sensitive reasoning. Multi-step turns need requests to retain the readings that shaped preceding steps. The request must remain reconstructable after restart, and automatic compaction must account for the same timing context the model receives.
A process-local refresh cache makes displayed time depend on state that cannot survive resume or be reconstructed from the durable session. Durable interval scheduling can reduce append frequency without introducing that hidden state.
## Decision
`@deepseek-ai/dsh-time-context` is an opt-in function plugin in `packages/context/time-context/`. It registers a prepended `agent/pre-step` listener and, when an injection is due, calls `agent.inject()` for a pre-step attempt whose signal is not already aborted. The injected `context/message` carries source `{ kind: 'plugin', plugin: 'time-context' }` and append surface metadata; a suppressed attempt appends nothing.
The listener records preparation context before a possible `step/start`. Its prepended registration runs before ordinary automatic compaction listeners, so pressure estimation and any resulting surface rewrite observe a newly appended reading. A later pre-step listener can cancel or fail the attempt before the step opens; the reading remains because the durable log is append-only and this plugin performs no rollback.
The optional `timeZone` config resolves the Node process's IANA zone once at plugin load when omitted; an explicit value is validated by `Intl.DateTimeFormat`. The timestamp includes the numeric UTC offset and resolved IANA zone.
The optional `refreshIntervalMs` config is manually validated at plugin load as a non-negative safe integer. Omission or `0` injects on every eligible preparation attempt. A positive value scans the raw session events for the most recent `context/message` with this plugin's source and injects when none exists, wall time moved backward, or the event is at least the configured age. The raw event timestamp governs even after compaction shadows the message, so scheduling persists across turns and process resume without a timer or process-local cache.
### Text and elapsed baselines
An injected first-step reading is:
```text
Time sampled while preparing turn <turn>, step 1: <timestamp>
Elapsed since the preceding model-visible message: <duration-or-unavailable>.
```
The baseline is the latest preceding user, assistant, tool-result, context, or steering message. This includes the accepted prompt that opened an ordinary message turn. If no model-visible message exists, the duration is `unavailable`.
An injected later-step reading is:
```text
Time sampled while preparing turn <turn>, step <step>: <timestamp>
Elapsed since the preceding step context: <duration-or-unavailable>.
```
Their baseline is the durable event timestamp of the preceding time-context message in the same turn. If interval suppression leaves no earlier same-turn reading, the duration is `unavailable`. Duration formatting uses compact whole-second units and clamps backward wall-clock movement to zero. The explicit turn and step make every retained reading attributable to its historical preparation attempt after later turns append more context.
### Durability and request reconstruction
Each reading remains a normal surface node until compaction shadows it; positive interval scheduling never removes existing readings. A later request therefore sees the cumulative unshadowed readings that affected earlier preparation and steps, rather than a system-prompt value rewritten in place.
The plugin contributes nothing to system-prompt assembly. `request/header` contains no time-context text; request reconstruction obtains the complete durable surface prefix at each `step/start`. Readings and requests need not map one-to-one because a failed preparation can leave a reading while interval suppression can prepare a request without appending one. The plugin depends on the agent registry for its lifecycle listener and does not require the system-prompt service at runtime.
## Testing
Unit and real-loop tests pin formatting, both elapsed baselines, interval omission and zero, threshold boundaries, cross-turn and per-session scheduling, backward-clock behavior, invalid config, resumed raw-event lookup after compaction, aborted-signal behavior, later-listener cancellation and failure, listener disposal, source and surface metadata, cumulative multi-step visibility, and absence from request headers. A keyless subprocess e2e boots the real Loader and stdio app, drives two turns, and verifies the persisted context events externally.
## Supersedes
This decision supersedes the dynamic system-prompt storage and refresh policy in [Optional time-context plugin](2026-07-14-time-context-plugin.md). It keeps the package location, opt-in deployment stance, timestamp formatting, process-zone default, and load-time validation. Durable history replaces the `context:time` prompt section, process-local refresh cache, and request-header deltas; `refreshIntervalMs` controls durable append frequency instead of prompt replacement.
## Alternatives considered
- **Keep the dynamic system-prompt section and process-local refresh cache** — rejected because replacement erases earlier readings, cache state is not replayable, and a frozen request envelope would make the value stale for an entire loop instance.
- **Replace the preceding context surface node** — rejected because replacement preserves the old node's position or shadows intervening conversation; neither represents when the new reading became visible.
- **Inject from a background timer** — rejected because idle time has no pending request to consume the value, and timer-driven injection would create durable turns solely to report time passing.
- **Expose time only through a tool** — rejected because ordinary temporal reasoning would require an avoidable tool round trip and would not guarantee a reading before every step.
- **Use `agent/session-prefix`** — rejected because one loop-instance prefix cannot represent distinct step timestamps and does not accumulate historically attributable readings.
## Consequences
- Omission or `0` records every eligible preparation attempt; a positive interval reduces append frequency and history growth while preserving durable scheduling across resume.
- Timing context remains append-only until compaction shadows older surface nodes, including a preparation reading left by a later cancellation or failure.
- The first-step duration normally measures from the prompt that opened the turn, while later-step durations measure model and tool processing since the preceding step context.
- An omitted `timeZone` still reflects the deployment process rather than a remote user, and elapsed time still uses durable harness append boundaries rather than client-origin timestamps.

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# Agent Note: 持久的逐步骤时间上下文
Status: implemented
[English](2026-07-16-durable-per-step-time-context.md) | 中文
## 问题
仅存在于请求中的时钟可以告诉模型当前时间,但在系统提示词中替换这个值会移除先前时效性推理所依据的证据。在包含多个步骤的轮次中,请求需要保留影响先前步骤的读数。系统必须能在重启后重建请求,自动压缩(compaction)也必须核算模型实际收到的同一份时间上下文。
进程本地刷新缓存使显示的时间依赖无法在恢复后保留、也无法从持久会话重建的状态。持久的间隔调度可以减少追加频率,而不引入这种隐藏状态。
## 决策
`@deepseek-ai/dsh-time-context` 是位于 `packages/context/time-context/`、需要显式启用的函数插件。它注册一个前置的 `agent/pre-step` 监听器,并在需要注入时,为信号尚未取消的预步骤尝试调用 `agent.inject()`。注入的 `context/message` 携带来源 `{ kind: 'plugin', plugin: 'time-context' }` 和追加表层元数据;受间隔抑制的尝试不会追加任何内容。
监听器在可能出现的 `step/start` 之前记录准备上下文。它采用前置注册,因此先于普通自动压缩监听器运行,使压力估算和由此产生的表层重写都能观察到新追加的读数。后续预步骤监听器可能在步骤开启前取消尝试或使其失败;持久日志仅追加,且本插件不执行回滚,因此该读数会保留下来。
省略可选配置 `timeZone` 时,插件在加载时解析一次 Node 进程的 IANA 时区;显式值由 `Intl.DateTimeFormat` 校验。时间戳包含数字 UTC 偏移和解析后的 IANA 时区。
插件在加载时手动校验可选配置 `refreshIntervalMs`,其值必须为非负安全整数。省略或设为 `0` 时,每次符合条件的准备尝试都会注入。设为正数时,插件扫描原始会话事件,查找来源属于本插件的最新 `context/message`;不存在此类事件、系统挂钟向后移动,或该事件已达到配置时长时,插件执行注入。即使压缩已隐藏消息,调度仍以原始事件时间戳为准,因此该机制无需计时器或进程本地缓存,也能跨轮次和进程恢复持续生效。
### 文本与时长基线
第一个步骤的注入读数为:
```text
Time sampled while preparing turn <turn>, step 1: <timestamp>
Elapsed since the preceding model-visible message: <duration-or-unavailable>.
```
基线是前一条用户消息、助手消息、工具结果、上下文消息或 steering(中途引导)消息。对于普通消息轮次,这包括开启轮次的已接受提示词。如果不存在模型可见消息,时长为 `unavailable`。
后续步骤的注入读数为:
```text
Time sampled while preparing turn <turn>, step <step>: <timestamp>
Elapsed since the preceding step context: <duration-or-unavailable>.
```
其基线是同一轮次中上一条时间上下文消息的持久事件时间戳。如果间隔抑制导致同一轮次中没有更早的读数,时长为 `unavailable`。时长采用紧凑的整秒单位,并在系统挂钟向后移动时钳制为零。显式的轮次号和步骤号使每个保留的读数在后续轮次追加更多上下文后,仍可归属于对应的历史准备尝试。
### 持久性与请求重建
每个读数都作为普通表层节点保留,直至压缩将其隐藏;正数间隔调度绝不会移除已有读数。因此,后续请求会看到影响先前准备过程和步骤且尚未被隐藏的累计读数,而不是一个被原地改写的系统提示词值。
插件不向系统提示词组装贡献任何内容。`request/header` 不包含时间上下文文本;请求重建从每个 `step/start` 取得完整的持久表层前缀。读数与请求无需一一对应,因为失败的准备过程可能留下读数,而间隔抑制也可能使请求准备过程不追加读数。插件通过 agent 注册表使用生命周期监听器,运行时不需要系统提示词服务。
## 测试
单元测试和真实 agent loop(智能体循环)测试固定格式化、两种时长基线、间隔省略和零值、阈值边界、跨轮次和各会话独立调度、挂钟后退行为、无效配置、压缩后基于恢复会话的原始事件查找、已取消信号行为、后续监听器取消和失败、监听器 dispose(资源释放)、来源与表层元数据、多步骤累计可见性,以及请求头中不存在时间上下文。无密钥子进程 e2e 测试通过真实 Loader 和 stdio 应用启动,驱动两个轮次,并从外部校验持久化的上下文事件。
## 取代的决策
本决策取代[可选时间上下文插件](2026-07-14-time-context-plugin.md)中的动态系统提示词存储和刷新策略。它保留包位置、选择加入式部署、时间戳格式、进程时区默认值和加载时校验。持久历史取代 `context:time` 提示词区段、进程本地刷新缓存和请求头增量;`refreshIntervalMs` 用于控制持久追加频率,而非提示词替换。
## 考虑过的替代方案
- **保留动态系统提示词区段和进程本地刷新缓存**——不予采纳,因为替换会抹去先前读数,缓存状态无法回放,而且冻结的请求内容集合会使该值在整个 agent loop 实例期间保持陈旧。
- **替换前一条上下文表层节点**——不予采纳,因为替换会保留旧节点的位置或隐藏中间的会话内容;两者都不能表达新读数何时开始可见。
- **通过后台计时器注入**——不予采纳,因为空闲期间没有待处理请求消费该值,而且计时器驱动的注入会仅为报告时间流逝而创建持久轮次。
- **只通过工具提供时间**——不予采纳,因为普通时间推理会产生本可避免的工具往返,也不能保证每个步骤之前都有读数。
- **使用 `agent/session-prefix`**——不予采纳,因为一个 loop 实例前缀无法表示不同的步骤时间戳,也不会累计具有历史归属的读数。
## 后果
- 省略 `refreshIntervalMs` 或设为 `0` 时,每次符合条件的准备尝试都会留下记录;正数间隔会减少追加频率和历史增长,同时使持久调度在恢复后继续生效。
- 时间上下文仅追加并保留到压缩隐藏旧表层节点为止,其中也包括后续取消或失败所留下的准备读数。
- 第一个步骤的时长通常从开启轮次的提示词起算,后续步骤的时长则反映自上一条步骤上下文以来的模型与工具处理时间。
- 省略 `timeZone` 时仍采用部署进程而非远程用户的时区,时长仍采用 harness 的持久追加边界而非客户端来源时间戳。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-16-harness-level-loop.md: 9a9511b9dcea1b5fdc90f4fc716c4399f2346967
2026-07-16-harness-level-loop.zh.md: 284e73051eaaa4633b9f56367de9096dadc8184e

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# Agent Note: Harness-level goal-based execution
Status: implemented
English | [中文](2026-07-16-harness-level-loop.zh.md)
## Problem
The concrete agent loop owns one turn: it drains admitted input, performs one or more model-and-tool steps, and stops. Substantial objectives often need an outer policy that can begin another turn, retain progress, stop at a budget, and remain intelligible to humans. A timed prompt, a same-session continuation, and a fresh-agent Ralph attempt all repeat work, but they do not share the same state, authority, memory, or lifecycle.
Treating every repeated action as one generic “loop” obscures those differences. Same-session work must persist the human objective in the existing transcript while preserving conversation context. Ralph work must intentionally discard conversation context and use the workspace plus a bounded handoff. Human-facing status must not imply that reopening a session silently authorizes more work. Completion and blocker claims also need an explicit trust boundary rather than being smuggled into a scheduler abstraction.
The repository therefore needs goal-based execution above the turn/step loop, but it does not need a speculative universal loop service that combines persistence, evaluation, budgeting, scheduling, handoff, background tasks, and UI.
## Decision
This proposal is implemented in amended form as two explicit plugin policies over existing seams:
1. **Same-session goals** retain one durable objective in the current session and admit goal-attributed continuation turns only while live activation is armed.
2. **Fresh-agent Ralph runs** execute a fixed foreground workflow whose rounds each spawn a new structured child with no conversation seed.
There is no `packages/loop/` family, `LoopDriver`, `LoopId`, universal `StopCondition`, or model-facing generic `loop` tool. The two policies share the repository's ordinary agent, session, tools, workflow, subagent, and UI extension seams, but they do not pretend that one lifecycle fits both.
### Vocabulary and policy boundary
The same-session hierarchy is **Goal → Goal Round → Turn → Step**. A goal round is one continuation cycle admitted for the current goal and materialized as one goal-sourced turn. Human or unrelated turns in the same session do not consume the goal-round cap, and a turn may still contain multiple model/tool steps.
The fresh-agent hierarchy is **Ralph Run → Ralph Round → fresh child Turn → Step**. One Ralph round creates one child session. The parent transcript and prior child transcripts are not seed context; the shared workspace and one bounded structured report carry cross-round state.
“Round” is therefore an outer policy iteration, not a synonym for every session turn. The concrete `dsh-agent-loop` remains the turn/step engine. The same-session driver uses public agent and session events; its only core addition is the generic observe-before-cancel `agent/cancel-requested` notification needed by any lifecycle policy that must settle cancellation safely.
Time-based `/loop` or scheduled execution is a third policy and is not implemented by this decision. It belongs with a scheduler rather than either goal family.
### Package topology and owning verbs
| Package | Repository category | Owned structures and verbs |
|---|---|---|
| `@deepseek-ai/dsh-goal` | `packages/goal/goal/`, domain service | Owns `GoalId`, compare-and-set `GoalRef`, `GoalSnapshot`, four-state `GoalPhase`, structured `GoalBlockReason`, process-local `GoalActivation`, replay folding, and `get`, `create`, `edit`, `pause`, `resume`, `complete`, `block`, `clear`, and `disarm` verbs. |
| `@deepseek-ai/dsh-tool-goal` | `packages/goal/tool-goal/`, model-facing consumer | Registers exclusive `get_goal`, `create_goal`, and `update_goal`; authenticates live turn provenance and narrows autonomous-round authority to completion or blocking reports with machine-routable reason codes. |
| `@deepseek-ai/dsh-goal-session` | `packages/goal/goal-session/`, continuation policy | Reserves, fences, admits, attributes, settles, cancels, and quiescently drains same-session goal rounds without importing the concrete loop. |
| `@deepseek-ai/dsh-commands` | `packages/ui/commands/`, UI registry | Owns `CommandDefinition`, discovery, scoped registration, direct dispatch, `CommandResult`, and request cancellation for human-only commands. |
| `@deepseek-ai/dsh-command-goal` | `packages/goal/command-goal/`, human-command producer | Registers `/goal` status, creation, edit, pause, resume, and clear over the goal domain for TUI and ACP. |
| `@deepseek-ai/dsh-tool-ralph` | `packages/workflow/tool-ralph/`, fixed workflow consumer | Registers `ralph({ objective, maxRounds? })`, validates the fresh structured provider and bounded `RalphRoundReport`, and returns `complete`, `blocked`, or `budget-limited`. |
The detailed contracts live in the [goal-domain](2026-07-19-persisted-same-session-goal-domain.md), [model goal-tools](2026-07-19-model-facing-goal-tools.md), [goal-round driver](2026-07-19-same-session-goal-round-driver.md), [command registry](2026-07-19-plugin-command-registration.md), [human goal-command](2026-07-19-human-goal-command.md), and [Ralph workflow-tool](2026-07-19-fresh-agent-ralph-workflow-tool.md) Agent Notes.
### Durable goal state and live authority
One session has at most one current goal. Every non-clear mutation appends a full, versioned, model-visible goal snapshot through `Agent.inject()`; clear appends a revisioned tombstone. The session log is the only durable source of truth, so normal persistence, resume, compaction semantics, and `SessionStore.fork()` carry the goal without a second database or an artificial cancellation record.
Durable phases are only `active`, `paused`, `blocked`, and `complete`. A blocked goal carries a required `GoalBlockReason` with a stable lower-kebab-case `code` and a non-empty human-readable `message`; usage limits, round exhaustion, model failures, and policy rejection are reason codes rather than extra lifecycle phases. Separate activation is `armed` or `disarmed` and is never persisted. Creation and explicit resume arm a goal; stop transitions, session start, fork replay, driver replacement, and driver teardown leave it disarmed.
This separation makes session restoration observable and unsurprising. Reopening a session never starts goal work by itself. A later human prompt such as “continue”, “resume the goal”, or an equivalent request in any language gives the runtime-root model a new turn in which it may read the goal and call `update_goal(..., action: 'resume')`. `/goal resume` is the direct human-command path. The runtime authenticates that the request came from a live direct-human turn; prompt policy lets the model interpret whether the wording semantically authorizes creation or resumption.
Forked sessions inherit the durable goal prefix because that is the natural replay result. The fork starts disarmed, so inheritance does not imply execution authority and no synthetic goal cancellation is inserted into history.
`defaultMaxGoalRounds` is configurable and defaults to `256`. The cap counts only admitted goal rounds. `blockedAfterConsecutiveRounds` is separately configurable in the model-tool policy and defaults to `3`; it is a mechanical lower bound before an autonomous round may report a repeated blocker, not an evaluator of semantic sameness.
### Same-session continuation
The goal-round driver owns at most one pending reservation per exact live agent. It admits a reservation only when the goal is active and armed, the agent is idle, no competing human work exists, pending mutations are durable, the exact goal id/revision/round still matches, and downstream prompt policy accepts it. The prompt-submit fence checks those facts both before and after asynchronous listeners, preventing an edit, pause, human message, or unload race from admitting obsolete work.
Only the durable goal-sourced `user/message` charges a round. Stale reservations become rejected zero-step turns without consuming the cap. A concurrent goal revision wins over settlement from an older round.
Normal turn completion schedules another round only while the goal remains active, armed, and below its cap. Cancellation pauses. Rate limiting or quota exhaustion blocks with code `usage-limited`; cap exhaustion blocks with `round-limit`; queue failure uses `queue-failed`; turn errors, max-token stops, policy rejection, and unknown terminal results use their corresponding blocker codes. An independently composed request-recovery plugin may retry transient provider failures within that same turn; the goal driver never invents another round after an abnormal terminal outcome. A human can later authorize resume through ordinary language or `/goal resume`.
### Human and model surfaces
The human UX follows the compact Codex shape in the [public OpenAI Codex TUI dispatcher at commit `678157a`](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805): `/goal` shows status, `/goal <objective>` creates, and `edit`, `pause`, `resume`, or `clear` perform direct lifecycle actions. The commit permalink keeps the researched grammar verifiable as Codex evolves. Status includes durable phase, admitted/capped rounds, and live armed/disarmed activation. Direct status and command output do not enter model history; accepted domain mutations remain reconstructable because the goal service records them.
The model receives only `get_goal`, `create_goal`, and `update_goal`. It may create a goal when a direct human request clearly asks for substantial multi-round work, and it may infer that intent in any language. It must not turn routine one-turn work into a goal. Direct-human provenance is enforced in code; semantic interpretation remains model judgment. An autonomous goal round may report `complete` or `blocked` for the exact current goal round but cannot edit, pause, resume, or replace the human objective.
TUI and ACP mount the shared command registry and complete goal stack by default and expose `/goal` through one producer. Every effective registered command is discoverable and invocable through every composed command adapter; a plugin incompatible with an application omits its command producer from that composition rather than relying on registry-level surface masks. The UI-less agent spine is opt-in so one-shot callers do not silently become multi-round operations. The headless CLI and JSON-RPC front doors do not consume the command plane; ordinary human text can still authorize model goal tools when that stack is composed.
### Fresh-agent Ralph execution
Ralph is a first-class model tool in its own plugin, demonstrating that a sophisticated fixed execution policy can be composed without a new loop core. The plugin owns a fixed workflow script over `ctx.workflows` and `ctx.subagents`; it does not create session-goal state or add a branch to `dsh-agent-loop`.
Each round uses an explicit `WorkflowStartRequest.subagentProvider`, defaulting to `spawn`. The provider must exist, support structured output, and declare that it does not inherit parent context. Ralph also passes its resolved round cap as `WorkflowStartRequest.maxTotalAgents`; the worker engine validates both per-run policies before publishing work, so provider misconfiguration or an engine ceiling below the requested Ralph scale fails before a run exists. The child inherits cwd and lineage but receives only the immutable objective, round/cap, workspace-as-authority instruction, and previous normalized report.
A report contains status, summary, evidence, next steps, and blocker text. Status-specific invariants and serialized size are validated inside the fixed script and again at the consumer boundary. `maxRounds` is configurable, defaults to `256`, and is the ceiling for a call override. `maxHandoffChars` defaults to `16384`; oversized reports fail rather than being silently truncated. `maxResultChars` separately defaults to `16384` and bounds the complete successful parent-facing text, including its envelope and truncation marker.
An ordinary child failure ends the run without retry. The fixed script reports the failed round and last successful handoff when one exists, and the tool returns that state as an error instead of misclassifying it as a malformed report or budget exhaustion. Fatal workflow infrastructure failures can settle before the script returns that state; richer reason transport and retry policy remain deferred.
The tool is foreground and process-local. The parent tool call waits for the terminal result, propagates cancellation into the worker engine, and awaits `run.dispose()` so child work is quiescent before return. The model sees one call and one bounded successful terminal result or an error; completion and blocker envelopes explicitly say that a worker reported the outcome rather than presenting it as independent certification. Intermediate child conversations remain outside the parent transcript.
### External design lineage
Codex provides the minimal observable goal UX used here: a persistent chat-attached target with set, view, edit, pause, resume, and clear controls. This implementation adopts that discoverability while using this repository's event-sourced goal record, plugin scopes, and runtime authority checks.
Current [Claude Code goals](https://code.claude.com/docs/en/goal) reinforce the distinction between a goal that starts another turn after the previous turn and a timed `/loop`. Claude Code also uses a separate small-model evaluator after each turn. This implementation adopts the policy distinction but intentionally does not copy that evaluator: evaluator inputs, tool access, deterministic checks, provider choice, isolation, and authority need a separately designed plugin contract rather than an implicit self-certification layer.
External products are comparators, not compatibility targets. The local source studies informed the boundaries, while the shipped interfaces follow this repository's “everything is a plugin”, model-visible-is-logged, explicit default resolution, and quiescent teardown rules.
### Verification
The six owning Agent Notes record unit, integration, process, snapshot, cancellation, replay, and built-runtime coverage. The stack exercises strict goal-record folding, compare-and-set races, session fork inheritance, disarmed restoration, natural-language direct-human authority, configurable caps and blocked thresholds, exact goal-round attribution, adapter-wide command discovery, and transcript isolation. Shipped keyless snapshots cover model goal creation/inspection through the headless app, multi-round same-session lifecycle and cancellation through ACP, direct `/goal` status without a model turn, and two real Ralph rounds through the headless app. The Ralph snapshot boots the worker-thread engine, spawn provider, structured-output runtime, and agent loop, then inspects distinct unseeded child logs and exact one-way bounded handoff while pinning the parent stream. Focused real-stack tests additionally cover completion, blocker and round-limit outcomes, malformed and oversized reports, ordinary child failure with the last good handoff, one phase event, and cancellation to child quiescence. Package sources remain under the repository's per-file 100% coverage gate, and built-binary tests cover installed-artifact resolution. The implementation experience is recorded in the root testing policy: every non-trivial model- or human-visible change must carry a real-example keyless snapshot in the same PR rather than relying on package-only or mock-only fixture coverage.
## Alternatives considered
- **Implement the original universal loop capability seam** — rejected because `Evaluator`, `BudgetPolicy`, `RoundHandoff`, `GoalReflector`, background task ownership, persistence, and scheduling do not form one coherent mandatory abstraction. Building all of them before their first concrete consumers would create broad speculative surface and duplicate existing session, workflow, subagent, and task machinery.
- **Implement only same-session goals** — rejected because fresh-context iteration is materially different and is a valuable demonstration of the plugin architecture. Ralph belongs as a fixed workflow consumer with explicit context reset.
- **Put Ralph inside the goal-round driver** — rejected because same-session goals deliberately preserve one conversation while Ralph deliberately removes it. Combining them would make activation, replay, handoff, and UI state ambiguous.
- **Treat a fork as a fresh Ralph child** — rejected because a fork carries a conversation prefix. Fresh children plus workspace state and one explicit report are easier to bound and replay without a synthetic cancel record.
- **Copy Claude Code's evaluator into the first goal implementation** — rejected because a transcript-only model evaluator is one useful policy, not a generally trustworthy completion certificate. Deterministic evaluation and isolation must remain possible, so the evaluator is deferred until its authority and provider seam are designed.
- **Automatically continue after session restore** — rejected because opening a session is observation, not authority to spend resources. Durable state is restored while activation waits for a new human prompt.
- **Route `/goal` through the model** — rejected because status and explicit lifecycle controls should be deterministic, token-free UI actions; ordinary natural-language prompts remain the semantic model path.
- **Modify the concrete agent loop with goal or Ralph modes** — rejected because public queue, prompt, session, cancellation, workflow, and subagent seams already support both policies. The generic cancel-requested observation is the only core coordination addition.
## Consequences
- Goal-based execution ships without one overloaded “loop” object: same-session continuation and fresh-agent iteration have explicit, separately testable contracts.
- Durable goal history is replayable and forkable, while process-local activation prevents accidental work on resume.
- Humans receive a small Codex-shaped UX; models receive a compact provenance-checked tool surface; deployments can remove either independently.
- Ralph demonstrates a nontrivial fixed policy entirely as a plugin over existing workflow and subagent primitives.
- Round limits are generous by default but remain deployment-controlled. They bound iterations, not tokens, price, elapsed time, or external side effects.
- The original proposal's evaluator, budget, reflector, background-task, CLI, and generic loop-session architecture is intentionally not part of the implemented public surface.
## Known limitations and deferred work
- **Independent evaluation** — same-session completion/blocking and Ralph terminal status are model or worker declarations. A separate evaluator, evaluator-driven feedback round, completion certificate, deterministic checker, adversarial verifier, and criteria/executor/isolation contract remain deferred.
- **Aggregate budgets** — `maxGoalRounds` and Ralph `maxRounds` are the only aggregate effort limits. Token, currency, elapsed-time, provider-usage, and per-round price admission policies are absent.
- **No persistent autonomous runner** — same-session goal facts persist, but activation and scheduling are process-local and deliberately wait for human input after restore. Ralph runs are foreground and cannot resume after process loss. Background collection, restart recovery, and unattended resident execution are deferred.
- **No time scheduler** — interval `/loop`, cron, proactive maintenance, and cloud or desktop scheduling are outside this decision.
- **No generic loop journal or execution-world rewind** — session replay reconstructs model-visible goal history, not prior files, processes, environment, credentials, or external side effects. Ralph treats the current workspace as authority and carries no cross-run journal.
- **No goal reflector** — concern events, automatic no-progress heuristics, goal revision by an independent reflector, stuck-pattern detection, and `loop_split` are not implemented. Humans can edit, pause, clear, or resume the goal directly.
- **Ralph policy remains narrow** — one round creates one fresh child; within-round fan-out, evaluator/worker role separation, dynamic provider/model selection, and structural recursive-Ralph tool denial need separate policy surfaces. Prompt guidance is not enforcement.
- **Ralph does not retry a failed child** — an ordinary failure preserves the failed round and last good handoff, while fatal workflow infrastructure failures can end before that state is available. Retry count, backoff, and richer failure transport need separate policy and seam design.
- **Portable UI remains modest** — TUI and ACP render plain-text goal status and generic Ralph cards. There is no continuous status widget, reconnectable command output, modal goal editor, or command plane in the headless CLI or JSON-RPC front doors.

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# Agent Note: Harness 层目标式执行
Status: implemented
[English](2026-07-16-harness-level-loop.md) | 中文
## 问题
具体 agent loop 只拥有一个 Turn:它排空已接纳输入,执行一个或多个模型与工具 Step,然后停止。大型目标通常需要一项外层策略来开始另一个 Turn、保留进度、在预算处停止,并让人类能够理解其状态。定时提示词、同会话续行和全新 agent Ralph 尝试都会重复工作,但它们并不共享相同的状态、权限、记忆或生命周期。
若把每种重复动作都称为一个通用“loop”,就会掩盖这些差异。同会话工作必须在现有转录中持久化人类目标,同时保留对话上下文。Ralph 工作必须有意丢弃对话上下文,只使用工作区和一份有界交接。面向人类的状态不能暗示重新打开会话就会静默授权更多工作。完成与阻塞声明也需要显式信任边界,而不能被偷渡进调度器抽象。
因此,本仓库需要位于 Turn/Step loop 之上的目标式执行,但不需要一个把持久化、评估、预算、调度、交接、后台任务和 UI 组合在一起的推测性通用 loop 服务。
## 决策
本提案以修订后的形式实现为构建在现有接缝之上的两项显式插件策略:
1. **同会话目标**在当前会话中保留一个持久目标,并且只在实时激活态已激活时接纳带目标归属的续行 Turn。
2. **全新 agent Ralph 运行**执行一个固定前台工作流,其中每个 Round 都生成一个不带对话种子的全新结构化子 agent。
系统中没有 `packages/loop/` 包族、`LoopDriver`、`LoopId`、通用 `StopCondition` 或面向模型的通用 `loop` 工具。两项策略共享本仓库普通的 agent、session、tools、workflow、subagent 与 UI 扩展接缝,但不会假装一种生命周期可以同时适配两者。
### 词汇与策略边界
同会话层级是 **Goal → Goal Round → Turn → Step**。一个 Goal Round 是为当前目标接纳的一次续行周期,并实体化为一个带目标来源的 Turn。同一会话中的人类 Turn 或无关 Turn 不会消耗目标回合上限,而一个 Turn 仍可包含多个模型/工具 Step。
全新 agent 层级是 **Ralph Run → Ralph Round → fresh child Turn → Step**。一个 Ralph Round 创建一个子会话。父转录和此前子转录都不是种子上下文;共享工作区与一份有界结构化报告承载跨 Round 状态。
因此,“Round”是外层策略迭代,不是每个会话 Turn 的同义词。具体 `dsh-agent-loop` 仍是 Turn/Step 引擎。同会话驱动器使用公开 agent 与 session 事件;它对核心唯一的新增项是通用的取消前观察通知 `agent/cancel-requested`,任何需要安全收敛取消的生命周期策略都可以使用它。
基于时间的 `/loop` 或定时执行是第三种策略,本决策不实现它。它应归属于调度器,而不是任一目标包族。
### 包拓扑与所属动词
| 包 | 仓库类别 | 所属结构与动词 |
|---|---|---|
| `@deepseek-ai/dsh-goal` | `packages/goal/goal/`,领域服务 | 拥有 `GoalId`、比较并交换 `GoalRef`、`GoalSnapshot`、四状态 `GoalPhase`、结构化 `GoalBlockReason`、进程本地 `GoalActivation`、重放折叠,以及 `get`、`create`、`edit`、`pause`、`resume`、`complete`、`block`、`clear` 与 `disarm` 动词。 |
| `@deepseek-ai/dsh-tool-goal` | `packages/goal/tool-goal/`,面向模型消费者 | 注册互斥的 `get_goal`、`create_goal` 与 `update_goal`;认证实时 Turn 来源,并把自治 Round 权限收窄到带机器可路由原因代码的完成或阻塞报告。 |
| `@deepseek-ai/dsh-goal-session` | `packages/goal/goal-session/`,续行策略 | 在不导入具体 loop 的情况下,预留、设围栏、接纳、归属、结算、取消并静止排空同会话目标回合。 |
| `@deepseek-ai/dsh-commands` | `packages/ui/commands/`,UI 注册表 | 拥有面向人类专用命令的 `CommandDefinition`、发现、作用域注册、直接分发、`CommandResult` 与请求取消。 |
| `@deepseek-ai/dsh-command-goal` | `packages/goal/command-goal/`,人类命令生产方 | 为 TUI 和 ACP 注册构建在目标领域之上的 `/goal` 状态、创建、编辑、暂停、恢复与清除。 |
| `@deepseek-ai/dsh-tool-ralph` | `packages/workflow/tool-ralph/`,固定工作流消费者 | 注册 `ralph({ objective, maxRounds? })`,验证全新结构化 provider 与有界 `RalphRoundReport`,并返回 `complete`、`blocked` 或 `budget-limited`。 |
详细契约分别由[目标领域](2026-07-19-persisted-same-session-goal-domain.md)、[模型目标工具](2026-07-19-model-facing-goal-tools.md)、[目标回合驱动器](2026-07-19-same-session-goal-round-driver.md)、[命令注册表](2026-07-19-plugin-command-registration.md)、[人类目标命令](2026-07-19-human-goal-command.md)与 [Ralph 工作流工具](2026-07-19-fresh-agent-ralph-workflow-tool.md) Agent Note 拥有。
### 持久目标状态与实时权限
一个会话至多有一个当前目标。每次非清除变更都通过 `Agent.inject()` 追加一份完整、带版本且模型可见的目标快照;清除会追加带修订号的墓碑。会话日志是唯一持久事实来源,因此普通持久化、恢复、压缩语义与 `SessionStore.fork()` 会携带目标,无需第二个数据库或人为取消记录。
持久阶段只有 `active`、`paused`、`blocked` 与 `complete`。阻塞目标必须携带 `GoalBlockReason`,其中包含稳定的小写 kebab-case `code` 与非空的人类可读 `message`;用量限制、Round 耗尽、模型失败与策略拒绝都是原因代码,而不是额外生命周期阶段。独立激活态是 `armed` 或 `disarmed`,且永不持久化。创建与显式恢复会激活目标;停止转换、会话启动、fork 重放、驱动器替换和驱动器拆卸都会让目标保持未激活。
这种分离让会话恢复可观察且符合直觉。重新打开会话绝不会自行开始目标工作。随后的人类提示词,例如“继续”、“恢复目标”或任何语言中的等价请求,会给运行时根 agent 的模型一个新 Turn;模型可在其中读取目标并调用 `update_goal(..., action: 'resume')`。`/goal resume` 是直接人类命令路径。运行时认证请求来自实时直接人类 Turn;提示策略让模型解释措辞在语义上是否授权创建或恢复。
fork 会话会继承持久目标前缀,因为这是自然的重放结果。fork 从未激活状态开始,因此继承不等于执行权限,历史中也不会插入合成目标取消。
`defaultMaxGoalRounds` 可配置且默认为 `256`。该上限只计算已接纳目标回合。`blockedAfterConsecutiveRounds` 在模型工具策略中单独配置且默认为 `3`;它只是在自治 Round 报告重复阻塞前的机械下限,不是对语义相同性的评估器。
### 同会话续行
目标回合驱动器为每个准确实时 agent 至多拥有一个待定预留。只有目标处于活跃且已激活状态、agent 空闲、不存在竞争性人类工作、待定变更已经持久、准确目标 id/修订号/Round 仍匹配,并且下游提示词策略接受时,它才会接纳预留。prompt-submit 围栏在异步监听器前后都检查这些事实,防止编辑、暂停、人类消息或卸载竞争接纳过时工作。
只有持久的目标来源 `user/message` 会计入一个 Round。过时预留会成为未消耗上限的零 Step 拒绝 Turn。并发目标修订会胜过旧 Round 的结算。
普通 Turn 完成后,只有目标仍活跃、已激活且低于上限时才会安排另一个 Round。取消会暂停。速率限制或配额耗尽以代码 `usage-limited` 阻塞;上限耗尽使用 `round-limit`;队列失败使用 `queue-failed`;Turn 错误、max-token 停止、策略拒绝与未知终止结果使用各自对应的阻塞代码。独立组合的请求恢复插件可以在同一个 Turn 内重试暂时性 provider 失败;目标驱动器绝不会在异常终止结果后凭空发起另一个 Round。人类随后可以通过普通语言或 `/goal resume` 授权恢复。
### 人类与模型表面
人类 UX 遵循 [OpenAI Codex 在提交 `678157a` 时的公开 TUI 分发器](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805)中的紧凑形态:`/goal` 显示状态,`/goal <objective>` 创建目标,而 `edit`、`pause`、`resume` 或 `clear` 执行直接生命周期操作。该提交永久链接让研究所得语法在 Codex 演进时仍可验证。状态包含持久阶段、已接纳/上限 Round 数以及实时已激活/未激活状态。直接状态与命令输出不会进入模型历史;已接受领域变更仍可重建,因为目标服务会记录它们。
模型只接收 `get_goal`、`create_goal` 和 `update_goal`。当直接人类请求清楚要求大量多 Round 工作时,模型可以创建目标,并且可以从任何语言推断该意图。它不得把日常单 Turn 工作变成目标。直接人类来源由代码强制执行;语义解释仍是模型判断。自治目标 Round 可以为准确当前目标 Round 报告 `complete` 或 `blocked`,但不能编辑、暂停、恢复或替换人类目标。
TUI 与 ACP 默认挂载共享命令注册表和完整目标栈,并通过同一个生产方暴露 `/goal`。每条有效已注册命令都能被每个已组合的命令适配器发现和调用;若插件与某应用不兼容,该应用组合会省略其命令生产方,而不是依赖注册表层面的表面掩码。无 UI agent spine 要求显式选择加入,以免单次调用方静默变成多 Round 操作。无头 CLI 与 JSON-RPC 前端不消费命令平面;挂载目标栈后,普通人类文本仍可授权模型目标工具。
### 全新 agent Ralph 执行
Ralph 是位于自有插件中的一等模型工具,展示了复杂固定执行策略可以在没有新 loop 核心的情况下组合完成。该插件拥有构建在 `ctx.workflows` 与 `ctx.subagents` 之上的固定工作流脚本;它不会创建会话目标状态,也不会为 `dsh-agent-loop` 增加分支。
每个 Round 都使用显式 `WorkflowStartRequest.subagentProvider`,默认为 `spawn`。该 provider 必须存在、支持结构化输出,并声明不继承父上下文。Ralph 还会把解析后的 Round 上限作为 `WorkflowStartRequest.maxTotalAgents` 传递;工作线程引擎会在发布工作前验证两项每次运行策略,因此 provider 配置错误或低于所请求 Ralph 规模的引擎上限会在运行存在前失败。子 agent 继承 cwd 与谱系,但只接收不可变目标、当前 Round/上限、以工作区为权威的指令和上一份规范化报告。
报告包含状态、摘要、证据、下一步与阻塞文本。固定脚本内部和消费者边界都会验证状态专用不变量与序列化大小。`maxRounds` 可配置,默认为 `256`,并作为调用覆盖值的上限。`maxHandoffChars` 默认为 `16384`;过大报告会失败,而不会被静默截断。`maxResultChars` 单独默认为 `16384`,并限制面向父级的完整成功文本,包括外层文本与截断标记。
普通子 agent 失败会结束运行且不重试。固定脚本会报告失败 Round,并在存在时带回上一份成功交接;工具会把该状态作为错误返回,而不会误判为畸形报告或预算耗尽。致命工作流基础设施错误可能在脚本返回该状态前结算;更丰富的原因传输与重试策略均予以延期。
该工具位于前台且只存在于进程内。父工具调用等待终止结果,把取消传播到工作线程引擎,并等待 `run.dispose()`,因此返回前子工作已达到静止。模型只看到一次调用,以及一份有界成功终止结果或一个错误;完成与阻塞的外层文本会明确说明结果由工作者报告,而不会呈现为独立认证。中间子 agent 对话不会进入父转录。
### 外部设计谱系
Codex 提供了这里采用的最小可观察目标 UX:一个附着于聊天的持久目标,以及设置、查看、编辑、暂停、恢复与清除控制。本实现采用这种可发现性,但使用本仓库的事件溯源目标记录、插件作用域与运行时权限检查。
当前 [Claude Code goals](https://code.claude.com/docs/en/goal) 进一步验证了“前一 Turn 后启动另一 Turn 的目标”和定时 `/loop` 之间的区别。Claude Code 还会在每个 Turn 后使用独立小模型评估器。本实现采用策略区分,但有意不复制该评估器:评估器输入、工具访问、确定性检查、provider 选择、隔离与权限需要单独设计的插件契约,而不是隐式自我认证层。
外部产品只是比较对象,不是兼容目标。本地源码研究帮助确定边界,而交付接口遵循本仓库“一切皆插件”、模型可见即可记录、显式解析默认值与静止拆卸规则。
### 验证
六份所属 Agent Note 记录了单元、集成、进程、快照、取消、重放与构建后运行时覆盖。该栈验证严格目标记录折叠、比较并交换竞争、会话 fork 继承、恢复后未激活、自然语言直接人类权限、可配置上限与阻塞阈值、准确目标回合归属、适配器范围的命令发现与转录隔离。已发布的无密钥快照覆盖通过无头应用创建/检查模型目标、通过 ACP 执行多 Round 同会话生命周期与取消、无需模型 Turn 的直接 `/goal` 状态,以及通过无头应用执行两个真实 Ralph Round。Ralph 快照会启动工作线程引擎、spawn provider、结构化输出运行时与 agent loop,随后检查互不相同且无种子的子日志和准确单向有界交接,同时固定父级事件流。聚焦的真实栈测试还覆盖完成、阻塞与 Round 上限结果、畸形及过大报告、保留上一份有效交接的普通子 agent 失败、单个阶段事件,以及取消后达到子 agent 静止状态。包源码继续受仓库逐文件 100% 覆盖率门禁约束,构建后二进制测试覆盖已安装产物解析。实现经验已记录进根测试策略:每项非平凡的模型或人类可见变更都必须在同一 PR 中携带真实示例无密钥快照,而不能依赖仅包级或仅模拟夹具的覆盖。
## 考虑过的替代方案
- **实现原始通用 loop 能力接缝**——不予采纳,因为 `Evaluator`、`BudgetPolicy`、`RoundHandoff`、`GoalReflector`、后台任务所有权、持久化与调度并不构成一项一致的必选抽象。在出现首个具体消费者前全部构建,会产生宽泛推测性表面,并重复现有 session、workflow、subagent 与 task 机制。
- **只实现同会话目标**——不予采纳,因为全新上下文迭代在实质上不同,也是插件架构的重要示范。Ralph 应作为带显式上下文重置的固定工作流消费者。
- **把 Ralph 放进目标回合驱动器**——不予采纳,因为同会话目标有意保留一段对话,而 Ralph 有意移除对话。合并两者会让激活、重放、交接与 UI 状态含糊不清。
- **把 fork 当成全新 Ralph 子 agent**——不予采纳,因为 fork 会携带对话前缀。全新子 agent 加工作区状态与一份显式报告更容易限制和重放,并且无需合成取消记录。
- **把 Claude Code 评估器复制进首个目标实现**——不予采纳,因为只读取转录的模型评估器是一项有用策略,但不是普遍可信的完成证书。系统必须仍能支持确定性评估与隔离,因此评估器延期到其权限与 provider 接缝完成设计之后。
- **会话恢复后自动续行**——不予采纳,因为打开会话是观察行为,不是花费资源的权限。系统恢复持久状态,而激活态等待新的人类提示词。
- **通过模型路由 `/goal`**——不予采纳,因为状态与显式生命周期控制应是确定、零 token 的 UI 操作;普通自然语言提示词仍是语义模型路径。
- **为具体 agent loop 增加目标或 Ralph 模式**——不予采纳,因为公开队列、提示词、会话、取消、工作流与 subagent 接缝已经支持两项策略。通用 cancel-requested 观察是唯一核心协调新增项。
## 后果
- 目标式执行在没有单个过载“loop”对象的情况下交付:同会话续行与全新 agent 迭代拥有显式、可独立测试的契约。
- 持久目标历史可以重放和 fork,而进程本地激活态会防止恢复时意外开始工作。
- 人类获得小型 Codex 形态 UX;模型获得紧凑、带来源检查的工具表面;部署可以独立移除任一能力。
- Ralph 展示了非平凡固定策略可以完全作为现有 workflow 与 subagent 原语之上的插件实现。
- Round 上限默认宽裕,但仍由部署控制。它限制迭代次数,不限制 token、价格、耗时或外部副作用。
- 原始提案中的评估器、预算、反思器、后台任务、CLI 与通用 loop-session 架构有意不进入已实现公开表面。
## 已知限制与延期工作
- **独立评估**——同会话完成/阻塞和 Ralph 终止状态都是模型或工作者声明。独立评估器、评估器驱动反馈 Round、完成证书、确定性检查器、对抗式 verifier 与 criteria/executor/isolation 契约均予以延期。
- **聚合预算**——`maxGoalRounds` 与 Ralph `maxRounds` 是唯一聚合工作量限制。token、货币、耗时、provider 用量与逐 Round 价格准入策略均不存在。
- **没有持久自治运行器**——同会话目标事实会持久化,但激活与调度只存在于进程内,并且有意在恢复后等待人类输入。Ralph 位于前台,进程丢失后无法恢复。后台收集、重启恢复与无人值守常驻执行均予以延期。
- **没有时间调度器**——间隔 `/loop`、cron、主动维护以及云端或桌面调度不在本决策范围内。
- **没有通用 loop 日志或执行世界回退**——会话重放会重建模型可见目标历史,而不会恢复此前文件、进程、环境、凭据或外部副作用。Ralph 把当前工作区作为权威,并且没有跨运行日志。
- **没有目标反思器**——concern 事件、自动无进展启发式、由独立反思器执行的目标修订、卡住模式检测与 `loop_split` 均未实现。人类可以直接编辑、暂停、清除或恢复目标。
- **Ralph 策略仍然狭窄**——一个 Round 创建一个全新子 agent;Round 内扇出、评估器/工作者角色分离、动态 provider/模型选择与结构化递归 Ralph 工具禁止都需要独立策略表面。提示词指导不是强制执行。
- **Ralph 不会重试失败的子 agent**——普通失败会保留失败 Round 与上一份有效交接,而致命工作流基础设施错误可能在该状态可用前结束。重试次数、退避与更丰富的失败传输需要独立的策略与接缝设计。
- **可移植 UI 仍较朴素**——TUI 与 ACP 渲染纯文本目标状态和通用 Ralph 卡片。系统没有持续状态组件、可重连命令输出、模态目标编辑器,无头 CLI 与 JSON-RPC 前端也没有命令平面。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-16-persistent-pty-sessions.md: 76354891f557974b953a1b0b805d94330c9f6e69
2026-07-16-persistent-pty-sessions.zh.md: 86200d70c6eda815a440c44e8b55457b0424edb6

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# Agent Note: persistent PTY sessions
Status: implemented
English | [中文](2026-07-16-persistent-pty-sessions.zh.md)
## Problem
The harness can run foreground and background commands, edit files, and delegate work, but it cannot continue an interactive terminal conversation across tool calls. Each `bash` foreground run starts a fresh shell, so shell-local cwd, exported variables, virtual-environment activation, functions, job-control state, and interactive child processes end with that call.
That gap excludes workflows whose state lives in a terminal rather than a file: stepping through `gdb`, exploring in a Python or Node REPL, driving a line-oriented editor such as `ed`, or returning to a shell after interrupting its foreground command. The generic [`ctx.tasks`](../../../../packages/tasks/README.md) runtime retains background-operation handles and output, but it does not provide interactive stdin or terminal semantics.
The existing `bash`, `read`, `write`, and `edit` tools remain the reliable default for bounded, auditable operations. A PTY is an additional capability for work that genuinely requires terminal state, not evidence that those tools are defective or candidates for removal.
## Decision
The optional `packages/pty/` capability family exposes agent-owned, persistent, line-oriented PTY sessions. It follows the repository's [capability pattern](../../implemented/architecture/2026-06-13-capability-seams.md), coexists with the existing command and filesystem tools, and does not change `agent-loop`.
The implementation supports interactive shells and line-oriented REPLs on Linux and macOS. Full-screen terminal applications, keystroke sequences, BEL-triggered control flow, session restoration after process loss, and cross-agent session sharing are explicitly deferred.
### Package topology
| Package | Role | ctx key |
|---|---|---|
| `dsh-pty` | `PtyService`, branded `PtySessionId`, backend registry, owner-scoped session contract, and result types | `ctx.pty` |
| `dsh-pty-local` | [`node-pty`](https://github.com/microsoft/node-pty)-based local backend, platform process inspection, bounded terminal buffer, sandbox resolution, and process-tree supervision | registers a backend on `ctx.pty` |
| `dsh-tool-pty` | Six model-facing tools, task-runtime integration for background sends, guidance, and ACP render intents | registers on `ctx.tools` |
Idle detection is backend behavior, not a second public seam. A remote or container backend may have authoritative readiness signals that do not resemble local `/proc` inspection; every `PtyBackend` therefore returns the common send result while owning its detection mechanism internally.
### Agent ownership and identity
`PtyService` stores live sessions process-locally, but every session is owned by the exact `Agent` passed through the tool execution context. The service mints an opaque `PtySessionId`; an optional model-chosen `name` is display metadata and is unique only within that owner. Every operation targets `sessionId`, and `list`/`read`/`signal`/`kill` reject callers other than the owner.
There are no plugin-load auto-start sessions. `terminal_open` creates a session only during an agent tool call, when ownership and the owning event-sourced session are known. A future declarative startup feature must compose through unpublished agent setup rather than create shared global terminals.
Agent-scope disposal closes registrations first, then awaits quiescent teardown of every owned PTY. Backend or tool-plugin reload does not orphan sessions: ownership lives in `PtyService` until the agent ends, following the same service-owned-record pattern as [`ctx.tasks`](../../../../packages/tasks/tasks/README.md).
### Security and process boundary
A registered `shell` backend constrains how a terminal starts; it does not constrain commands typed after startup. `dsh-pty-local` therefore applies two protections before spawning:
- It builds a scrubbed child environment using the same credential-shaped-name policy as `bash-local`, removing ambient `*KEY*`, `*SECRET*`, `*TOKEN*`, and harness-managed variables unless an explicit trusted mapping supplies them.
- It requires `ctx.sandbox` and the shared `ctx.sandboxPolicy`. At spawn, the backend resolves the owner's effective session mode over the deployment default and wraps the shell argv once; that mode and workspace root remain the process boundary for the PTY lifetime. `danger-full-access` is the existing explicit unconfined choice rather than a PTY-specific bypass.
Sandboxing confines local process effects but does not make arbitrary shell input safe: network calls and other external side effects remain governed by deployment policy. Tool descriptions state that PTY sessions are less auditable than one-shot tools and should be used only when persistence or interactive stdin is necessary.
The implementation uses only public `node-pty` capabilities: child PID, `data` and `exit` notifications, `write`, `resize`, and `kill`. It does not assume access to the native master fd or call `waitpid` from TypeScript. Platform process inspectors derive foreground process groups and parent/child identity from `/proc` on Linux and `ps` on macOS.
### Six model-facing tools
| Tool | Purpose | Result |
|---|---|---|
| `terminal_open` | Create an owner-scoped session from a registered backend type | `{ sessionId, name, type, motd }` |
| `terminal_send` | Send text, optionally submit Enter, and wait for readiness or register a background task | bounded viewport plus wait and session status; background also returns `taskId` |
| `terminal_read` | Read a bounded page from retained scrollback | `{ text, totalLines, lineBegin, lineEnd, truncated }` |
| `terminal_signal` | Send one allowed signal to the current foreground process group | `{ delivered, targetPgid }` |
| `terminal_close` | Close one session and await process-tree quiescence | `{ killed }` |
| `terminal_list` | List the caller's live sessions | owner-scoped session summaries |
`terminal_send({ sessionId, text, submit?, run_in_background? })` treats `text` as UTF-8 bytes and resolves `submit` to `true` in the tool implementation. When `submit` is true it writes the platform Enter sequence after the text; when false it writes only the text, allowing control characters and REPL fragments without hidden content heuristics.
Foreground sends return a bounded rendered delta and two independent facts: `waitReason` (`stdin_read | inferred_idle | timeout | session_exit`) and `sessionStatus` (`running` or `exited` with exit code or signal). `session_exit` refers to the PTY's top-level shell process, not an arbitrary foreground command whose status the shell consumes. A timeout never implies process exit.
With `run_in_background: true`, `dsh-tool-pty` registers the in-flight send on `ctx.tasks` and returns immediately with `taskId`. `task_output(wait: true)` waits, reads incremental output, and records the final result; `task_kill` forwards cancellation as `SIGINT` and escalates only through the PTY backend's owned teardown path. If the task surface is absent, background mode fails before writing input. No PTY-specific `sleep` tool or general wake-up seam is added.
`terminal_read` pages backward from the newest retained line. The backend enforces both line and UTF-8 byte caps on retained scrollback and the complete returned value, so one oversized line cannot bypass the bound. `truncated` distinguishes retention loss from an ordinary viewport delta.
`terminal_signal` accepts the closed set `SIGINT | SIGTERM | SIGKILL | SIGTSTP | SIGHUP`. The backend resolves the terminal foreground process group at execution time. `SIGKILL` is rejected when that group is the top-level shell, directing the caller to `terminal_close`; a failed group lookup fails the operation instead of signaling a guessed PID.
### Local readiness detection
The local backend first recognizes a private OSC prompt marker emitted by its controlled bash startup, then runs three bounded fallback tiers. The marker is removed before output reaches the model and avoids a fixed silence delay for ordinary shell commands on both platforms. Unpublished startup does not accept zero-output silence as readiness; timeout rejects the spawn. All timings are validated config fields: `pollIntervalMs`, `exactProbeAfterMs`, `idleSilenceMs`, and `timeoutMs`.
On Linux, the inspector reads the shell's terminal foreground PGID from `/proc/<shellPid>/stat`, enumerates every process and thread in that process group, and probes their current syscalls. A positive Tier 1 result requires an observed stdin wait: direct `read(0)`, a permitted read of a `select`/`pselect6` or `poll`/`ppoll` argument containing fd 0, or an epoll interest list containing fd 0. Unreadable process memory and unrecognized syscalls are misses, never positive guesses. Architecture tables contain only syscall numbers defined by the corresponding Linux UAPI; unsupported architectures skip Tier 1.
On macOS there is no exact syscall tier. Output silence returns `inferred_idle` for any foreground process group, including Python and `gdb`; `ps`-derived terminal PGID is used for signaling, not as proof that only the shell can be idle. Pure process-inspector logic is injectable and unit-tested on Linux, while a macOS CI job exercises the real PTY and process-table path.
Tier 2 returns `inferred_idle` after `idleSilenceMs` without output. A sleeping or network-blocked command can therefore look ready. Tier 3 returns `timeout` after `timeoutMs` so a foreground tool call cannot hold the agent indefinitely. The result preserves the distinction; callers may wait through `ctx.tasks`, signal the foreground group, or inspect from another session.
`node-pty` data notifications feed one streaming decoder and terminal parser. Parser carry state handles UTF-8 and terminal query sequences split across chunks. The implementation normalizes line-oriented output and detects alternate-screen entry, but it does not promise correct interaction with a full-screen application.
### Model-visible output and durability
The existing durable `tool/call` and `tool/result` events are the source of truth for text sent by the model and rendered output returned to it. `terminal_open` returns its MOTD through the logged tool result; foreground `send`/`read`/`list`/`signal`/`close` results are logged the same way. The PTY packages do not duplicate raw byte streams into custom session events.
Background sends use the existing task completion notice and `task_output` result path, so any output that reaches a later model request is likewise durable. Raw terminal bytes remain bounded process-local state and are neither persisted nor restorable. A future opt-in transcript sink would need its own retention, credential, and privacy contract.
### Process-tree teardown
The top-level `node-pty` child is the ownership anchor. On close, the backend stops callbacks, snapshots that PID and its transitive descendants by parent PID in children-first order, sends `SIGTERM`, closes the PTY, waits for quiescence, then sends `SIGKILL` to verified survivors after configurable `disposeGraceMs` and waits for them to leave the process table. Every captured PID includes process-start identity so reuse cannot redirect escalation.
Teardown reports root exit and survivor cleanup independently. It does not claim success merely because the shell exited; disposal resolves only after no captured tree member remains or returns a structured cleanup failure naming the survivors. Service disposal still clears its backend, reservation, and owner-detacher registries when a close fails. It never broadens ownership to every member of the root PID's POSIX session.
### Composition and rollout
The example composition remains opt-in and safe by default:
```yaml
plugins:
'@deepseek-ai/dsh-sandbox-local':
'@deepseek-ai/dsh-sandbox-policy':
config:
mode: workspace-write
workspaceRoot: .
'@deepseek-ai/dsh-pty':
'@deepseek-ai/dsh-pty-local':
config:
scrollbackLines: 10000
scrollbackMaxBytes: 4194304
maxReadBytes: 262144
pollIntervalMs: 50
exactProbeAfterMs: 150
idleSilenceMs: 3000
timeoutMs: 30000
disposeGraceMs: 3000
'@deepseek-ai/dsh-tool-pty':
```
The package ships concise tool guidance explaining persistent state, owner isolation, uncertain idle results, cleanup, and the preference for existing one-shot tools when interaction is unnecessary. It does not add a global system-prompt recommendation or mount PTY in shipped defaults; dedicated ACP and headless snapshot overlays exercise the opt-in composition.
### Deferred work
- Full-screen TUI support, named key sequences, BEL interruption, terminal resize tools, and alternate-screen snapshots require a separately proven model-facing contract.
- Declarative per-agent startup requires an agent-setup composition point; plugin-load global sessions remain prohibited.
- Session restoration across harness-process loss requires an out-of-process owner and a versioned protocol.
- Network-egress policy and rollback of external side effects are broader than PTY and remain separate security work.
- Windows/ConPTY support requires a backend with Windows-native process ownership and signaling semantics.
## Alternatives considered
**Replace `bash`, filesystem tools, or task tools with PTY.** Rejected. One-shot tools retain stronger validation, approval, sandbox, output-bound, and replay contracts. PTY is reserved for interactive state.
**Add persistent mode to `bash`.** Rejected. Returning on readiness rather than process exit, retaining a process tree across calls, and exposing interactive stdin create a different ownership and failure contract.
**Require native master-fd access from `node-pty`.** Rejected. Its public API exposes no master fd. The local backend instead derives foreground groups and descendants from supported OS process metadata and treats unreadable metadata as a detector miss.
**Signal every member of the root PID's POSIX session.** Rejected. `node-pty` may expose a helper PID whose session belongs to the launcher, so SID-wide teardown can signal unrelated harness or desktop processes. A PID-identity-fenced descendant tree is narrower and safe by construction.
**Publish `PtyIdleDetector` as a replaceable registry.** Rejected. Only the local backend needs these platform probes, while remote backends may receive readiness over their own protocol. Backend replacement already provides the necessary extension point.
**Add a PTY-specific `sleep` tool.** Rejected. `ctx.tasks` already owns bounded waiting, cancellation, completion notices, and model-facing collection. A second general wake mechanism would cross the agent-loop boundary and duplicate that contract.
**Include TUI sequences and BEL handling.** Rejected. The source prototype treats those paths as timing-sensitive and still records unresolved alternate-screen and interaction failures. Line-oriented PTY use proves the core value without making those unverified behaviors foundational.
**Use an out-of-process daemon immediately.** Rejected for the initial in-process capability because current persistent front doors already keep a Cordis context alive. A daemon becomes justified by cross-process restoration or multi-client attachment, both deferred here.
## Verification
- Per-file coverage pins owner fencing, concurrent reservations, lifecycle cleanup, readiness tiers, sanitizer carry state, UTF-8 bounds, task integration, schemas, and render intents.
- Linux process fixtures cover non-leader and non-main-thread stdin waits, unreadable process state, supported syscall tables, unsupported architectures, and false-positive rejection; macOS inspector logic is injected into the same unit suite.
- Real `node-pty` tests exercise shell state, shared sandbox policy, environment scrubbing, signals, a TERM-ignoring descendant, and immediate post-disposal quiescence on supported hosts.
- A Loader-driven `cordis.yml` test mounts the real three-package composition, while ACP and headless snapshots pin the six schemas, bounded results, error rendering, and terminal/generic cards through opt-in overlays.
- Package contracts, the architecture map, core data structures, generated catalogs, and the website API describe the same shipped surface.
- The repository CI-equivalent sequence owns type, lint, coverage, snapshot, documentation, build, hygiene, demo, and built-entry verification.
## Consequences
**Persistent terminal state is available without weakening one-shot tools.** Shell and REPL state can survive tool calls, while `bash`, `read`, `write`, and `edit` retain their narrower validation, approval, and replay contracts.
**Idle below Linux Tier 1 is heuristic.** Output silence cannot distinguish a prompt from sleep or network I/O. The typed result preserves uncertainty, and bounded timeout plus task waiting and signaling keep control with the model.
**Persistent state can drift from the model's belief.** The model may forget its cwd or active REPL. Session summaries and retained output help recovery, but no prompt can make state persistence deterministic.
**A daemonized descendant can leave the captured tree.** A process that reparents before teardown is no longer discoverable from the `node-pty` root. The implementation accepts that cleanup gap instead of risking SID-wide signals to unrelated processes.
**A shell can cause external side effects.** Session sandboxing and environment scrubbing reduce local exposure but do not undo pushes, API calls, or messages. Deployments that cannot tolerate those effects must omit PTY or add network policy.
**Process loss destroys terminal state.** In-process sessions do not survive a harness crash or restart, and raw scrollback is not durable. Important work must be committed to files or another durable system.
**`node-pty` is a native dependency.** Installation, supported Node versions, prebuild availability, and platform behavior require built-artifact smokes on every supported OS.

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# Agent Note: 持久化 PTY 会话
Status: implemented
[English](2026-07-16-persistent-pty-sessions.md) | 中文
## 问题
harness 可以运行前台与后台命令、编辑文件和委派工作,但无法跨工具调用延续一次交互式终端对话。每次 `bash` 前台运行都会启动一个新 shell,因此 shell 内的 cwd、导出变量、虚拟环境激活状态、函数、job control 状态和交互式子进程都会随本次调用结束。
这个缺口排除了状态驻留在终端而不是文件中的工作流,例如单步调试 `gdb`、在 Python 或 Node REPL 中探索、驱动 `ed` 这类行式编辑器,或者中断前台命令后回到原 shell。通用的 [`ctx.tasks`](../../../../packages/tasks/README.md) 运行时可以保留后台操作句柄和输出,但不提供交互式 stdin 或终端语义。
现有 `bash`、`read`、`write` 和 `edit` 工具仍是有界、可审计操作的可靠默认选项。PTY 是对确实需要终端状态的工作的补充功能,不说明这些工具有缺陷,更不意味着要移除它们。
## 决策
可选的 `packages/pty/` 功能家族提供由 agent 拥有、持久化且面向行式交互的 PTY 会话。它遵循仓库的 [capability pattern](../../implemented/architecture/2026-06-13-capability-seams.md),与现有命令和文件系统工具并存,并且不修改 `agent-loop`。
当前实现在 Linux 和 macOS 上支持交互式 shell 与行式 REPL。全屏终端应用、按键序列、BEL 触发的控制流、进程丢失后的会话恢复以及跨 agent 共享会话都明确推迟。
### 包拓扑
| 包 | 角色 | ctx key |
|---|---|---|
| `dsh-pty` | `PtyService`、branded `PtySessionId`、后端注册表、按 owner 隔离的会话契约和结果类型 | `ctx.pty` |
| `dsh-pty-local` | 基于 [`node-pty`](https://github.com/microsoft/node-pty) 的本地后端、平台进程检查、有界终端缓冲、沙箱解析和进程树监管 | 在 `ctx.pty` 上注册后端 |
| `dsh-tool-pty` | 6 个面向模型的工具、后台发送的 task 运行时集成、使用指引和 ACP render intent | 注册到 `ctx.tools` |
idle 检测属于后端行为,不是第二条公共 seam。远程或容器后端可能拥有完全不同于本地 `/proc` 检查的权威就绪信号;因此每个 `PtyBackend` 都返回统一的发送结果,同时在内部拥有自己的检测机制。
### agent 所有权与身份
`PtyService` 在进程内保存活会话,但每个会话都由工具执行上下文传入的确切 `Agent` 拥有。服务铸造不透明的 `PtySessionId`;模型可选填的 `name` 只是显示元数据,仅在该 owner 内唯一。所有操作都以 `sessionId` 为目标,`list`/`read`/`signal`/`kill` 会拒绝 owner 之外的调用方。
实现不提供插件加载期 auto-start 会话。`terminal_open` 只在 agent 工具调用期间创建会话,此时所有权和所属的事件溯源会话都已确定。未来的声明式启动功能必须通过尚未发布的 agent setup 组合,而不能创建全局共享终端。
agent scope dispose 时先关闭注册,再等待全部所属 PTY 静默退出。后端或工具插件 reload 不会遗留会话:所有权持续存放在 `PtyService` 中,直到 agent 结束,与 [`ctx.tasks`](../../../../packages/tasks/tasks/README.md) 的服务持有记录模式一致。
### 安全与进程边界
注册的 `shell` 后端只约束终端如何启动,不约束启动后输入的命令。因此 `dsh-pty-local` 在 spawn 前应用两层保护:
- 它使用与 `bash-local` 相同的凭证形态名称策略构建清洗后的子进程环境,移除环境中的 `*KEY*`、`*SECRET*`、`*TOKEN*` 和 harness 管理的变量,除非显式的可信映射提供这些值。
- 它要求 `ctx.sandbox` 和共享的 `ctx.sandboxPolicy`。后端在 spawn 时,以部署默认值为底折叠 owner 的有效 session mode,并只包装一次 shell argv;该 mode 与 workspace root 在 PTY 的整个生命周期中充当进程边界。`danger-full-access` 是现有的显式无约束选择,不另设 PTY 私有 bypass。
沙箱限制本地进程副作用,但不会让任意 shell 输入自动安全:网络调用和其他外部副作用仍由部署策略治理。工具描述会说明 PTY 会话比一次性工具更难审计,只应在确实需要持久状态或交互式 stdin 时使用。
实现只使用 `node-pty` 的公共功能:子进程 PID、`data` 与 `exit` 通知、`write`、`resize` 和 `kill`。它不假设能访问原生 master fd,也不从 TypeScript 调用 `waitpid`。平台进程检查器在 Linux 上通过 `/proc`、在 macOS 上通过 `ps` 推导前台进程组和父子进程身份。
### 6 个面向模型的工具
| 工具 | 用途 | 结果 |
|---|---|---|
| `terminal_open` | 从已注册的后端类型创建按 owner 隔离的会话 | `{ sessionId, name, type, motd }` |
| `terminal_send` | 发送文本、可选提交 Enter,并等待就绪或注册一个后台任务 | 有界 viewport、等待状态和会话状态;后台模式还返回 `taskId` |
| `terminal_read` | 从保留的 scrollback 读取一个有界页 | `{ text, totalLines, lineBegin, lineEnd, truncated }` |
| `terminal_signal` | 向当前前台进程组发送一种允许的信号 | `{ delivered, targetPgid }` |
| `terminal_close` | 关闭一个会话并等待进程树静默退出 | `{ killed }` |
| `terminal_list` | 列出调用方的活会话 | 按 owner 隔离的会话摘要 |
`terminal_send({ sessionId, text, submit?, run_in_background? })` 将 `text` 视为 UTF-8 字节,并由工具实现在解析阶段把 `submit` 默认成 `true`。`submit` 为 true 时先写入文本,再写入平台 Enter 序列;为 false 时只写文本,使控制字符和 REPL 片段无需隐藏的内容启发式即可发送。
前台发送返回有界的渲染增量和两个独立事实:`waitReason`(`stdin_read | inferred_idle | timeout | session_exit`)与 `sessionStatus`(`running`,或携带退出码或信号的 `exited`)。`session_exit` 指 PTY 顶层 shell 进程退出,不指由 shell 消费状态的任意前台命令。timeout 从不意味着进程已经退出。
当 `run_in_background: true` 时,`dsh-tool-pty` 在 `ctx.tasks` 上注册进行中的发送,并立即返回 `taskId`。`task_output(wait: true)` 负责等待、读取增量输出并记录最终结果;`task_kill` 将取消转发为 `SIGINT`,只有 PTY 后端拥有的 teardown 路径可以升级信号。若 task 对外接口不存在,后台模式必须在写入输入前失败。设计不新增 PTY 专用的 `sleep` 工具或通用唤醒 seam。
`terminal_read` 从最新保留行向后分页。后端同时对保留的 scrollback 和完整返回值执行行数与 UTF-8 字节上限,因此单个超长行无法绕过限制。`truncated` 用于区分保留数据丢失与普通 viewport 增量。
`terminal_signal` 接受闭合集 `SIGINT | SIGTERM | SIGKILL | SIGTSTP | SIGHUP`。后端在执行时解析终端前台进程组。当目标组是顶层 shell 时拒绝 `SIGKILL`,并指引调用方使用 `terminal_close`;进程组解析失败时操作直接失败,而不是向猜测的 PID 发送信号。
### 本地就绪检测
本地后端先识别受控 bash 启动时发出的私有 OSC prompt marker,再执行 3 个有界 fallback 层级。marker 在输出到达模型前被移除,使两个平台上的普通 shell 命令都无需固定等待静默阈值。尚未发布的 startup 不会把零输出静默视为就绪;timeout 会拒绝 spawn。所有时间参数都是经校验的配置字段:`pollIntervalMs`、`exactProbeAfterMs`、`idleSilenceMs` 和 `timeoutMs`。
在 Linux 上,检查器从 `/proc/<shellPid>/stat` 读取 shell 的终端前台 PGID,枚举该进程组中的每个进程与线程,并检查它们当前的 syscall。Tier 1 只有观察到 stdin 等待才返回正结果:直接 `read(0)`、获准读取且含 fd 0 的 `select`/`pselect6` 或 `poll`/`ppoll` 参数,或者含 fd 0 的 epoll interest list。无法读取的进程内存和未识别的 syscall 都是 miss,绝不作为正向猜测。架构表只包含对应 Linux UAPI 定义的 syscall number;不支持的架构跳过 Tier 1。
macOS 没有精确 syscall 层。任何前台进程组输出静默都会返回 `inferred_idle`,包括 Python 和 `gdb`;从 `ps` 推导的终端 PGID 只用于发送信号,不作为「只有 shell 才能 idle」的证明。纯进程检查逻辑可注入并在 Linux 上完成 unit 覆盖率,同时由 macOS CI job 驱动真实 PTY 和进程表路径。
Tier 2 在持续 `idleSilenceMs` 没有输出后返回 `inferred_idle`,因此 sleep 或网络阻塞的命令可能看似 ready。Tier 3 在 `timeoutMs` 后返回 `timeout`,避免前台工具调用无限占住 agent。结果保留这些区别;调用方可以通过 `ctx.tasks` 等待、向前台组发信号,或从另一个会话排查。
`node-pty` data 通知进入同一个流式 decoder 和终端 parser。parser 的 carry 状态处理跨 chunk 的 UTF-8 与终端查询序列。当前实现只规范化行式输出并检测 alternate-screen 进入,不承诺正确操作全屏应用。
### 模型可见输出与持久性
现有持久化 `tool/call` 与 `tool/result` 事件是模型发送文本和返回给模型的渲染输出的真源。`terminal_open` 通过已记录的工具结果返回 MOTD;前台 `send`/`read`/`list`/`signal`/`close` 结果走同一路径记录。PTY 包不会把原始字节流重复写入自定义会话事件。
后台发送复用现有后台任务完成通知和 `task_output` 结果路径,因此进入后续模型请求的任何输出同样持久化。原始终端字节只作为有界的进程内状态存在,既不持久化也不可恢复。未来的 opt-in transcript sink 必须拥有独立的保留、凭证和隐私契约。
### 进程树 teardown
顶层 `node-pty` 子进程是所有权锚点。关闭时,后端先停止 callback,再按父 PID 以子进程优先顺序捕获该 PID 及其传递子进程、发送 `SIGTERM`、关闭 PTY 并等待静默,然后在可配置的 `disposeGraceMs` 后向已验证的存活者发送 `SIGKILL`,并等待它们离开进程表。每个捕获的 PID 都包含进程启动身份,避免 PID 复用把升级信号发给无关进程。
teardown 独立报告根进程退出与存活进程清理。它不会只因 shell 退出就声称成功;dispose 只有在已捕获的进程树成员全部消失后才完成,否则返回结构化清理失败并列出存活者。即使某个 close 失败,服务 dispose 仍会清空其后端、预留与 owner detacher 注册表。所有权绝不会扩大到根 PID 所属 POSIX 会话的全部成员。
### 组合与推行
示例组合保持 opt-in,并采用安全默认值:
```yaml
plugins:
'@deepseek-ai/dsh-sandbox-local':
'@deepseek-ai/dsh-sandbox-policy':
config:
mode: workspace-write
workspaceRoot: .
'@deepseek-ai/dsh-pty':
'@deepseek-ai/dsh-pty-local':
config:
scrollbackLines: 10000
scrollbackMaxBytes: 4194304
maxReadBytes: 262144
pollIntervalMs: 50
exactProbeAfterMs: 150
idleSilenceMs: 3000
timeoutMs: 30000
disposeGraceMs: 3000
'@deepseek-ai/dsh-tool-pty':
```
包提供简洁的工具指引,说明持久状态、owner 隔离、不确定的 idle 结果、清理,以及无需交互时优先使用现有一次性工具。它不增加全局 system prompt 推荐,也不在已发布的默认配置中挂载 PTY;专用 ACP 与 headless 快照 overlay 覆盖 opt-in 组合。
### 推迟的工作
- 全屏 TUI 支持、命名按键序列、BEL 中断、终端 resize 工具和 alternate-screen 快照需要另行验证面向模型的契约。
- 声明式 per-agent 启动需要 agent-setup 组合点;仍然禁止插件加载期全局会话。
- harness 进程丢失后的会话恢复需要进程外 owner 和版本化协议。
- 网络出口策略与外部副作用回滚超出 PTY 范围,继续作为独立安全工作。
- Windows/ConPTY 支持需要具备 Windows 原生进程所有权与信号语义的后端。
## 备选方案
**用 PTY 替换 `bash`、文件系统工具或 task 工具。**拒绝。一次性工具拥有更强的校验、审批、沙箱、输出上限和回放契约。PTY 只服务交互式状态。
**给 `bash` 增加持久模式。**拒绝。按就绪而不是进程退出返回、跨调用保留进程树、暴露交互式 stdin 会形成不同的所有权和失败契约。
**要求从 `node-pty` 获取原生 master fd。**拒绝。它的公共 API 不暴露 master fd。本地后端改为从受支持的 OS 进程元数据推导前台组与子孙进程,并把不可读元数据视为 detector miss。
**向根 PID 所属 POSIX 会话的全部成员发送信号。**拒绝。`node-pty` 可能暴露属于启动器会话的 helper PID,因此按 SID 清理可能向无关的 harness 或桌面进程发送信号。带 PID 启动身份校验的子孙进程树范围更窄,其安全边界由结构保证。
**发布可替换注册表 `PtyIdleDetector`。**拒绝。只有本地后端需要这些平台 probe,远程后端可能通过自己的协议接收就绪状态。替换后端已经提供所需扩展点。
**新增 PTY 专用 `sleep` 工具。**拒绝。`ctx.tasks` 已经拥有有界等待、取消、完成通知和面向模型的收集。第二套通用唤醒机制会跨越 agent loop(智能体循环)边界并重复该契约。
**包含 TUI sequence 与 BEL 处理。**拒绝。源 prototype 将这些路径视为 timing-sensitive,且仍记录未解决的 alternate-screen 和交互失败。行式 PTY 已能证明核心价值,无需把未经验证的行为放进基础层。
**立即采用进程外 daemon。**初始的进程内功能不采用,因为当前持久 front door 已能维持 Cordis context。跨进程恢复或多客户端 attach 会让 daemon 变得合理,但两者都已推迟。
## 验证
- 每文件覆盖率固定 owner 隔离、并发预留、生命周期清理、就绪层级、sanitizer carry state、UTF-8 上限、task 集成、schema 和 render intent。
- Linux 进程 fixture 覆盖非 leader 与非主线程的 stdin 等待、不可读进程状态、受支持的 syscall 表、不支持的架构和误报拒绝;同一单元测试套件通过注入覆盖 macOS 检查器逻辑。
- 真实 `node-pty` 测试在受支持宿主上覆盖 shell 状态、共享沙箱策略、环境清洗、信号、忽略 `SIGTERM` 的子进程,以及 dispose 返回后立即静默。
- Loader 驱动的 `cordis.yml` 测试挂载真实三包组合;ACP 与 headless 快照通过 opt-in overlay 固定 6 个 schema、有界结果、错误渲染和 terminal/generic card。
- 包契约、架构图、核心数据结构、生成目录和 website API 描述同一个已发布接口。
- 仓库 CI 等价序列负责类型、lint、覆盖率、快照、文档、构建、hygiene、demo 和 built-entry 验证。
## 后果
**无需削弱一次性工具即可获得持久终端状态。**Shell 与 REPL 状态可以跨工具调用保留,而 `bash`、`read`、`write` 和 `edit` 继续拥有更窄的校验、审批与回放契约。
**Linux Tier 1 之外的 idle 都是启发式结果。**输出静默无法区分 prompt、sleep 和网络 I/O。类型化结果保留不确定性,有界 timeout、task 等待与信号让模型仍能掌握控制权。
**持久状态可能偏离模型认知。**模型可能忘记 cwd 或活跃 REPL。会话摘要和保留输出有助恢复,但任何 prompt 都无法让状态持久化变成确定行为。
**daemonized 子进程可能离开捕获树。**在 teardown 前 reparent 的进程无法再从 `node-pty` 根进程发现。实现接受这个清理缺口,不冒险按 SID 向无关进程发送信号。
**Shell 可以造成外部副作用。**会话沙箱和环境清洗降低本地暴露,但无法撤销 push、API 调用或消息发送。无法容忍这些副作用的部署必须省略 PTY 或增加网络策略。
**进程丢失会销毁终端状态。**进程内会话无法跨 harness crash 或 restart 存活,原始 scrollback 也不持久化。重要工作必须提交到文件或其他持久系统。
**`node-pty` 是原生依赖。**安装、支持的 Node 版本、prebuild 可用性和平台行为都需要在每个支持 OS 上运行 built-artifact smoke。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-17-dedicated-full-screen-tui-front-door.md: ecfda138593fc2b98ac42929acc586b11e437ee2
2026-07-17-dedicated-full-screen-tui-front-door.zh.md: 6b8cc63f7657672a6da542e2033d765b54bd4f07

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# Agent Note: Dedicated full-screen TUI front door
Status: implemented
English | [中文](2026-07-17-dedicated-full-screen-tui-front-door.zh.md)
## Problem
At the time this front door was introduced, the line-oriented agent handled pipes and ordinary terminals, but a full-screen coding interface had to own raw input, differential screen drawing, cursor state, overlays, and terminal restoration. Combining those contracts in one UI plugin would have coupled a stream-oriented path to a TTY-only lifecycle. The later [redundant-agent removal](../simplification/2026-07-20-remove-stdio-and-echo-agents.md) removes that line agent; this Note continues to own the TUI design.
The interactive channel must remain a Cordis plugin over the same agent, session, tool, and user-interaction services as every other front door. It needs to resume durable history, follow compaction replacements, display tool-owned presentation, and restore the terminal on startup failure and disposal. A standalone chat application or a second agent composition would duplicate behavior outside the plugin graph.
## Decision
DeepSeek Harness ships [`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) as a dedicated Cordis plugin. It owns terminal input and presentation only; agent lifecycle, session persistence, tool execution, and the model-facing question tool remain separate composition entries. The plugin requires both stdin and stdout to be TTYs and fails instead of silently changing to line-oriented behavior.
The app layer has one terminal front door. `@deepseek-ai/dsh-tui-demo` mounts the TUI before the configured agent, and `examples/tui-agent` owns the interactive coding composition and Code Mode overlay directly. Non-interactive tasks use `@deepseek-ai/dsh-cli-demo`; ACP remains a separate editor protocol.
The selected front door receives the exact generated or resumed `SessionId` used by the pre-created agent. It mounts before the agent composition, waits for the matching root agent, and enters full-screen mode only after that agent exists. A matching `agent-loop/config-start-failed` event is therefore reported before screen takeover and exits with status 1.
### Session projection and interaction
The TUI rebuilds the transcript from the active `session.surface` and reprojects it whenever an event carries a `surfaceOp`, so resumed and compacted history matches the model-visible conversation. It renders Markdown text and reasoning, token totals, the latest `todo/write` plan, and tool cards produced through each tool definition's `presentCall` and `presentResult` methods. Long card bodies retain a configurable head/tail preview with the hidden-line count; one terminal control expands or collapses every card. Pending chunks and tool calls update the same components that completed events settle.
Editor input calls `agent.send()` while idle and `agent.steer()` while a turn is running. Cancellation, reasoning visibility, tool-card expansion, redraw, transcript clearing, and exit are terminal-only controls. The idle footer derives context occupancy from `tokenMeter` and shows the selected model; during a run, elapsed activity and the Escape interrupt hint replace that summary. `/status` remains available in either state and appends a detailed terminal-only snapshot: session identity and timestamps, selected model and reasoning visibility, lifecycle counts folded from the event log, the same deduplicated usage buckets and KV-cache rate as the footer, and context use from `tokenMeter` plus the selected model's advertised capacity. The plugin registers the shared `userInteraction` provider and presents queued questions in a wide bottom-left keyboard panel with batch progress, numbered options, and aligned descriptions; agent behavior and answer logging remain owned by their existing services.
The `/model` command presents the advisory `ctx.llm` catalog as a keyboard selector and changes only this TUI session's target; argument forms remain available for direct selection. Agent-scoped prompt-assembly and request waterfalls snapshot one provider/model pair per step, so `{{provider}}` / `{{model}}` interpolation and request routing cannot split when a command arrives during assembly. The latest logged request header restores a used target; a selection that never reaches a request remains process-local.
### Terminal ownership
Before model output, session data, tool presentation, questions, configuration, or diagnostics reach pi-tui or the terminal title, `displayText()` renders C0 and C1 controls other than line feeds as visible hexadecimal escapes. Only the TUI and pi-tui create ANSI control sequences.
The built-in palette uses standard 16-color ANSI foregrounds and SGR attributes, keeps body text and backgrounds at terminal defaults, and uses reverse video for selection. Host terminals therefore remap the interface for light and dark themes without a TUI-specific theme setting; `color: false` removes styling.
## Verification
The implemented [TUI terminal-state snapshot Agent Note](../testing/2026-07-18-tui-terminal-state-snapshots.md) owns the four-layer verification contract: direct behavior tests, transient semantic terminal snapshots, recorded JSONL journeys through production tools, and Loader/PTY smoke tests. The package README owns configuration, commands, model-visible effects, and current limitations.
## Alternatives considered
- **Keep readline and full-screen modes inside `@deepseek-ai/dsh-stdio`** — rejected because line-oriented output and differential TTY rendering have different dependencies, input rules, logging ownership, and teardown obligations. Separate packages keep the pipe-safe contract small and explicit.
- **Let the TUI plugin silently downgrade when either stream is not a TTY** — rejected because a fallback hides deployment mistakes and changes interaction semantics. The app bundle may select a front door with `auto`; an explicitly mounted TUI fails loud.
- **Keep TUI wiring and tests under the readline `repl-agent` leaf** — rejected because one leaf would represent two distinct front doors and break symmetry with `acp-agent`. A dedicated `tui-agent` leaf owns TUI overlays and tests while reusing the repl-agent backend composition.
- **Mutate `agent.options` when `/model` runs** — rejected because creation options do not provide an atomic boundary between asynchronous prompt assembly and request routing. Agent-scoped waterfalls preserve immutable creation input and snapshot the selected pair for each step.
## Consequences
- Interactive terminal work has a stateful Markdown, card, plan, and question interface with no second terminal protocol to keep aligned.
- The TUI carries a pi-tui dependency and a strict TTY requirement; non-TTY deployments use the Headless app or a structured protocol.
- Session projection makes resume and compaction consistent with the durable conversation, but one configured session owns the transcript and editor.
- Tool packages extend terminal cards through their existing presentation methods without adding tool-specific branches to the TUI.
- Model selection uses adapter-advertised metadata without turning catalog membership into request validation; unused selections are not durable state.

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# Agent Note: 独立的全屏 TUI 入口
Status: implemented
[English](2026-07-17-dedicated-full-screen-tui-front-door.md) | 中文
## 问题
在本入口引入时,面向行的 agent 负责 pipe 与普通终端,但全屏 coding 界面必须负责原始输入、差分绘制、光标状态、浮层和终端恢复。把这两类契约合并到一个 UI 插件中,会迫使面向 stream 的路径依赖仅适用于 TTY 的生命周期。后续的[移除重复 agent 决策](../simplification/2026-07-20-remove-stdio-and-echo-agents.md)移除了这个面向行 agent;本 Note 继续负责 TUI 设计。
交互通道必须继续作为 Cordis 插件,使用与其他入口相同的 agent(智能体)、会话、工具和用户交互服务。它需要恢复持久历史、跟随压缩替换、显示工具自有的呈现内容,并在启动失败和资源释放时恢复终端。独立聊天应用或第二套 agent 组合会在插件图之外重复实现这些行为。
## 决策
DeepSeek Harness 将 [`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) 作为独立的 Cordis 插件交付。该插件只负责终端输入与呈现;agent 生命周期、会话持久化、工具执行以及模型可见的提问工具仍由不同组合项负责。插件要求 stdin 和 stdout 均为 TTY;条件不满足时会失败,不会静默切换为逐行输出。
应用组合层只有一个终端入口。`@deepseek-ai/dsh-tui-demo` 在已配置 agent 之前挂载 TUI,`examples/tui-agent` 直接拥有交互式 coding 组装及其 Code Mode overlay。非交互任务使用 `@deepseek-ai/dsh-cli-demo`;ACP 仍是独立的编辑器协议。
所选入口接收预创建 agent 使用的同一个新建或恢复 `SessionId`。入口先于 agent 组合挂载,等待相符的根 agent 出现,然后才进入全屏模式。因此,相符的 `agent-loop/config-start-failed` 事件会在接管屏幕前报告,并以状态码 1 退出。
### 会话投影与交互
TUI 从活跃的 `session.surface` 重建 transcript(文本记录),并在事件携带 `surfaceOp` 时重新投影,因此恢复或压缩后的历史与模型可见会话保持一致。TUI 渲染 Markdown 文本与推理、token 用量、最新 `todo/write` 计划,以及各工具定义通过 `presentCall` 和 `presentResult` 方法生成的工具卡片。较长的工具卡片正文会保留可配置的头尾预览,并显示隐藏行数;一个终端控制可以展开或收起全部卡片。进行中的分片与工具调用会更新同一组组件,随后由完成事件收束状态。
agent 空闲时,编辑器输入调用 `agent.send()`;轮次运行中则调用 `agent.steer()`。取消、推理显隐、工具卡片展开、重绘、清空 transcript 和退出都只是终端控制。空闲态页脚根据 `tokenMeter` 得出上下文占用率,并显示所选模型;agent 运行期间,该摘要会替换为带已用时长的活动指示和 Escape 中断提示。`/status` 在这两种状态下均可用,并会追加一份仅在终端显示的详细快照,其中包括会话标识与时间戳、所选模型及推理显隐状态、从事件日志归并得出的生命周期计数、与页脚一致的去重用量分项和 KV 缓存命中率,以及 `tokenMeter` 给出的上下文用量和所选模型公布的容量。插件注册共享的 `userInteraction` 提供方,在左下角宽幅键盘操作面板中呈现排队的问题,面板显示批次进度、带编号的选项和对齐的描述;agent 行为和答案日志仍由既有服务负责。
`/model` 命令将建议性的 `ctx.llm` 目录呈现为键盘选择器,并且只更改当前 TUI 会话的目标;带参数的形式仍可直接选择目标。agent 作用域内的 prompt 组装和请求两条 waterfall(瀑布式事件)会为每个 step 快照一次同一个提供方/模型字段组合,因此即使命令在组装期间到达,`{{provider}}` / `{{model}}` 插值与请求路由也不会分裂。系统通过日志中最新的请求头恢复已经使用过的目标;未被请求使用的选择只保留在当前进程中。
### 终端所有权
在模型输出、会话数据、工具呈现、问题、配置或诊断信息进入 pi-tui 或终端标题前,`displayText()` 会把换行之外的 C0 和 C1 控制字符显示为十六进制转义文本。只有 TUI 和 pi-tui 可以生成 ANSI 控制序列。
内置配色仅使用标准 16 色 ANSI 前景色和 SGR 属性,正文文字和背景沿用终端默认值,选中项使用反显。因此,宿主终端可以直接按浅色或深色主题重映射界面,无需 TUI 专用主题设置;`color: false` 会移除样式。
## 验证
已实现的 [TUI 终端状态快照 Agent Note](../testing/2026-07-18-tui-terminal-state-snapshots.md) 规定四层验证契约:直接行为测试、瞬态语义终端快照、通过生产工具执行的已录制 JSONL 流程,以及 Loader/PTY 冒烟测试。包(package)README 负责记录配置、命令、模型可见效果和当前限制。
## 曾考虑的替代方案
- **把 readline 与全屏模式都保留在 `@deepseek-ai/dsh-stdio` 中**:不予采纳,因为逐行输出和差分 TTY 渲染具有不同的依赖、输入规则、日志所有权和资源清理义务。拆分为独立包可以让管道安全契约保持精简、明确。
- **当任一进程流不是 TTY 时,让 TUI 插件静默降级**:不予采纳,因为回退会掩盖部署错误并改变交互语义。应用包可以通过 `auto` 选择入口;明确挂载的 TUI 会快速失败。
- **把 TUI 接线与测试保留在 readline `repl-agent` 叶节点下**:不予采纳,因为一个叶节点会代表两个不同入口,也会破坏它与 `acp-agent` 的对称性。独立的 `tui-agent` 叶节点负责 TUI 浮层和测试,同时复用 repl-agent 的后端组合。
- **在 `/model` 运行时修改 `agent.options`**:不予采纳,因为创建选项无法在异步 prompt 组装与请求路由之间提供原子边界。agent 作用域内的 waterfall 会在保持创建输入不可变的同时,为每个 step 快照一次选中的字段组合。
## 后果
- 交互式终端拥有带状态的 Markdown、卡片、计划和提问界面,无需再对齐第二套终端协议。
- TUI 会引入 pi-tui 依赖并严格要求 TTY;非 TTY 部署使用 Headless app 或结构化协议。
- 会话投影使恢复和压缩与持久会话保持一致,但只有一个已配置会话拥有 transcript 和编辑器。
- 工具包通过既有呈现方法扩展终端卡片,无需在 TUI 中增加工具专用分支。
- 模型选择使用适配器提供的目录元数据,但不会把目录成员关系变成请求校验;未使用的选择不属于持久化状态。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-fresh-agent-ralph-workflow-tool.md: c2db4d7dd30c27a25adecdfc425db261cc3dfeb5
2026-07-19-fresh-agent-ralph-workflow-tool.zh.md: e33e9848d71c98c8f83494ebe8bf171ef10b9305

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# Agent Note: Fresh-agent Ralph workflow tool
Status: implemented
English | [中文](2026-07-19-fresh-agent-ralph-workflow-tool.zh.md)
## Problem
Same-session goals preserve conversation and let one agent continue a durable objective, while the general workflow tool lets the model write a fan-out orchestration script. Neither is the Ralph pattern: repeatedly give the same objective to a completely fresh worker, use the shared workspace as long-term memory, and carry only a small explicit handoff until work completes or a limit is reached.
Adding Ralph behavior to `dsh-agent-loop`, the goal driver, or the public model-written workflow language would couple one policy to unrelated execution machinery. Letting each child inherit the parent conversation would also defeat context reset and make replay depend on a growing implicit prefix. The feature needs a fixed, reviewable policy built from existing plugin primitives, with cancellation quiescence, bounded cross-round data, a generous configurable cap, and no novel human-facing goal state.
## Decision
Add `@deepseek-ai/dsh-tool-ralph` as a separate consumer package under `packages/workflow/`. It registers `ralph({ objective, maxRounds? })`, owns a fixed workflow script, and depends only on `ctx.tools`, `ctx.systemPrompt`, `ctx.workflows`, and `ctx.subagents`. A Ralph run is not a session goal, creates no goal state, and requires no branch in the concrete agent loop.
The tool is foreground-only. The calling agent parents every child for cwd and lineage, the parent tool call waits for the complete run, and the parent step's abort signal cancels the workflow. `run.dispose()` is awaited on every path, so cancellation reaches the worker engine's bounded settlement and child quiescence before the call returns.
### Per-run workflow provider route
`WorkflowStartRequest` gains optional `subagentProvider`. The worker-thread engine resolves that explicit per-run value before falling back to its configured provider, requires the selected normalized route to be registered before publishing the run, and uses it for every `agent()` call. The script cannot observe or replace this route. The ordinary `workflow` tool leaves the field unset and exposes no new model argument, so general workflow behavior and provider policy stay unchanged.
The Ralph plugin's `subagentProvider` defaults to `spawn`. Immediately before a call it requires the named provider to exist, support structured output, and report `inheritsParentContext: false`; a fork-like or incapable provider fails loudly before workflow start. Provider lookup remains call-time because effect-scoped provider registration can change under HMR.
### Per-run workflow child ceiling
`WorkflowStartRequest` also gains optional `maxTotalAgents`. The worker-thread engine requires a positive safe integer no greater than its configured deployment ceiling and installs the resolved value in that run's worker limits before publishing the run. Ralph passes its resolved `maxRounds` as this ceiling, so the fixed loop's round budget and the generic runaway-child backstop cannot disagree. The ordinary workflow tool leaves the field unset and keeps the engine default.
### Ralph rounds and handoff
The hierarchy is Ralph Run → Ralph Round → fresh child Turn → Step. One Ralph round creates exactly one child through the selected provider. Spawn gives that child a distinct session with no seed while preserving the parent's cwd, so the shared working tree is the durable authority and neither parent conversation nor prior child history enters the request.
The fixed prompt passes only the immutable objective, current round and cap, a workspace-as-authority instruction, and the previous structured report. A `RalphRoundReport` contains `status: continue | complete | blocked`, `summary`, `evidence`, `nextSteps`, and `blocker`. Strings must be normalized; `continue` requires next steps and no blocker, `complete` requires evidence with no next steps or blocker, and `blocked` requires a concrete blocker. The script validates semantics and serialized size before the report can become the next handoff; the consumer validates the materialized terminal value again across the workflow seam.
`maxRounds` defaults to `256` and is also the deployment ceiling for a call override. `maxHandoffChars` and `maxResultChars` each default to `16384`. All are positive safe-integer config values. Oversized handoffs fail rather than being silently truncated; `maxResultChars` separately bounds the complete successful parent-facing text, including its envelope and truncation marker, without changing cross-round state. After a `continue` report at the last permitted round, the fixed script returns `budget-limited`; `complete` and `blocked` return immediately with the final report and number of rounds started.
The workflow language maps a normally settled but unsuccessful child to `null`. The fixed script detects that value before report validation and returns `round-failed` with the failed round plus the last successful handoff when one exists; the tool turns it into an error instead of misclassifying it as a malformed report or budget exhaustion. Ralph adds no retry policy. Fatal provider-start, transport, worker, and workflow errors remain generic workflow failures because the workflow seam does not carry a recoverable child report on those paths.
### Model and UI surface
The model may supply only `objective` and optional `maxRounds`; provider selection, report schema, handoff cap, and script are deployment-owned. A fixed prompt section says to use `ralph` only when the direct human explicitly asks for Ralph or fresh-agent iteration, and distinguishes it from same-session goals, bounded delegation, and general fan-out workflows. This is guidance rather than a new goal UX state machine.
ACP and terminal presentation use a generic `ralph` card whose raw input is the objective. Successful completion and blocker envelopes say that a worker reported the outcome rather than presenting it as independent certification. The parent transcript retains the original tool call and one bounded successful terminal report or an error, not intermediate child messages. Shipped headless, TUI, and ACP compositions load the plugin beside the existing workflow engine; JSON-RPC remains unchanged because its default composition does not expose workflows.
## Testing
Unit tests cover config and call-cap resolution, provider capability rejection, fixed start-request routing and child ceiling, all successful terminal outcomes, ordinary child-failure envelopes, malformed and oversized boundary values, exact successful-result truncation, abort timing, disposal, render intent, prompt lifecycle, and namespace-plugin shape at per-file 100% coverage. Worker-engine tests prove synchronous provider-route validation, per-run child ceilings below the deployment ceiling, and that a provider override selects every child without changing the configured default, including the built `lib/worker.cjs` under plain Node.
A keyless real-stack integration drives the fixed script through the actual worker-thread engine, spawn provider, structured-output runtime, and agent loop. It proves distinct child identities, absent `seedLength`, inherited cwd, no parent-history markers in either child request, exact previous-report handoff only in the following round, one phase event, terminal completion, and disposal of both children. The same real stack covers blocker and round-limit outcomes, unnormalized and semantically invalid reports, oversized handoffs, ordinary child failure with the last good handoff, and cancellation to child quiescence. A shipped keyless headless snapshot additionally boots the real `examples/headless-agent` composition, invokes `ralph`, pins the parent stream transcript, and inspects persisted logs for two distinct unseeded child sessions and the round-one handoff appearing only in round two. Tool tests pin generic call/result presentation, while ACP replay header snapshots pin the shipped schema and prompt-guidance transcript surface.
## Alternatives considered
- **Put Ralph in the same-session goal driver** — rejected because goal rounds intentionally preserve one conversation, while Ralph's defining property is a fresh context per round; combining them would make goal lifecycle and child orchestration inseparable.
- **Expose a `fresh` or loop flag on the general workflow tool** — rejected because the model-written script surface should remain general and provider-neutral; Ralph's fixed report protocol and stop policy deserve one reviewable consumer.
- **Use `subagent_fork` for replay convenience** — rejected because inherited completed turns are implicit, growing handoff state and violate the fresh-context contract. The workspace plus one structured report is replayable without inserting artificial cancellation records.
- **Call the subagent seam directly from the tool** — rejected because the existing workflow engine already owns foreground orchestration, structured children, cancellation propagation, worker termination, events, and quiescent disposal. Reusing it demonstrates plugin composition instead of building a second loop runtime.
- **Silently truncate a large report** — rejected because truncation can remove status evidence or next steps while still looking like an authoritative handoff. A producer must emit a valid report within the configured bound.
## Consequences
- Fresh-agent iteration is a first-class model tool implemented entirely as a removable plugin over existing seams.
- Goal rounds and Ralph rounds stay different concepts: the former is one same-session continuation turn, while the latter is one fresh child inside a foreground workflow.
- The workspace becomes authoritative cross-round memory, so workers must inspect and verify it rather than trusting a narrative handoff.
- A generous round ceiling permits substantial autonomous work, while deployment config still bounds child count and every handoff remains size-limited.
- Provider routing and a lowerable per-run child ceiling become explicit workflow start concerns without expanding the script or ordinary workflow tool surface.
## Known limitations and deferred work
- Completion and blocker status are worker self-declarations. An independent evaluator, evaluator-driven feedback round, completion certificate, or adversarial verifier is intentionally deferred.
- Runs are foreground and process-local. Background collection, persistence/resume, scheduling, and restart recovery are absent.
- Round count is the only aggregate budget. Token, currency, elapsed-time, and provider-usage budgets remain separate future policy.
- One round creates one child. Within-round fan-out, evaluator/worker role separation, dynamic provider or model selection, and cross-run journals are deferred.
- An ordinary child failure ends the run without retry, while preserving the failed round and last successful handoff. Fatal workflow infrastructure failures can end before the fixed script returns that state; adding retry or richer failure transport requires separate policy and seam design.
- Prompt guidance asks models not to invoke Ralph recursively; a structural child-tool restriction would require a separately designed workflow child-policy surface.

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# Agent Note: 全新 agent Ralph 工作流工具
Status: implemented
[English](2026-07-19-fresh-agent-ralph-workflow-tool.md) | 中文
## 问题
同会话目标会保留对话,让一个 agent 持续完成持久目标;通用工作流工具则让模型编写扇出编排脚本。两者都不是 Ralph 模式:把同一目标反复交给完全全新的工作者,以共享工作区作为长期记忆,并且在各轮之间只传递一份小型显式交接,直到工作完成或触及限制。
如果把 Ralph 行为加入 `dsh-agent-loop`、目标驱动器或面向模型的公开工作流语言,就会让一项策略与无关的执行机制耦合。让每个子 agent 继承父对话也会破坏上下文重置,并让重放依赖不断增长的隐式前缀。此功能需要一项由现有插件原语组合而成的固定、可评审策略,同时具备取消静止性、有界跨轮数据、宽裕且可配置的上限,并且不引入新颖的面向人类目标状态。
## 决策
在 `packages/workflow/` 下新增独立消费者包 `@deepseek-ai/dsh-tool-ralph`。它注册 `ralph({ objective, maxRounds? })`,拥有固定工作流脚本,并且只依赖 `ctx.tools`、`ctx.systemPrompt`、`ctx.workflows` 和 `ctx.subagents`。Ralph 运行不是会话目标,不会创建目标状态,也不要求在具体 agent loop 中增加分支。
该工具仅以前台方式运行。调用 agent 作为每个子 agent 的父级以提供 cwd 和谱系,父工具调用等待整次运行结束,父步骤的中止信号会取消工作流。每条路径都会等待 `run.dispose()`,因此调用返回前,取消会经过工作流引擎的有界收敛并达到子 agent 静止状态。
### 每次运行的工作流 provider 路由
`WorkflowStartRequest` 新增可选的 `subagentProvider`。工作线程引擎先解析这个显式的每次运行值,再回退到引擎配置的 provider;在发布运行前,它要求所选规范化路由已注册,并把结果用于每次 `agent()` 调用。脚本无法观察或替换此路由。普通 `workflow` 工具不设置该字段,也不暴露新的模型参数,因此通用工作流行为和 provider 策略保持不变。
Ralph 插件的 `subagentProvider` 默认为 `spawn`。每次调用前,它要求具名 provider 已存在、支持结构化输出且报告 `inheritsParentContext: false`;类似 fork 或能力不足的 provider 会在工作流启动前响亮失败。provider 查找保留在调用期,因为效果作用域内的 provider 注册可能随 HMR 改变。
### 每次运行的工作流子 agent 上限
`WorkflowStartRequest` 还新增可选的 `maxTotalAgents`。工作线程引擎要求它是正安全整数且不高于已配置的部署上限,并在发布运行前把解析值装入该运行的工作线程限制。Ralph 把解析后的 `maxRounds` 作为此上限,因此固定循环的轮次预算不会与通用失控子 agent 后备限制冲突。普通工作流工具不设置该字段并保留引擎默认值。
### Ralph 轮次与交接
层级为 Ralph 运行 → Ralph 轮次 → 全新子 agent 回合 → 步骤。每个 Ralph 轮次恰好通过所选 provider 创建一个子 agent。Spawn 给该子 agent 一个没有种子的独立会话,同时保留父级 cwd,因此共享工作树是持久权威,父对话和先前子 agent 历史都不会进入请求。
固定提示只传递不可变目标、当前轮次与上限、以工作区为权威的指令,以及上一份结构化报告。`RalphRoundReport` 包含 `status: continue | complete | blocked`、`summary`、`evidence`、`nextSteps` 和 `blocker`。字符串必须规范化;`continue` 要求存在下一步且没有阻塞项,`complete` 要求存在证据且没有下一步或阻塞项,`blocked` 要求具体阻塞项。报告成为下一次交接前,脚本会验证语义与序列化大小;消费者还会跨工作流接缝再次验证实体化的终止值。
`maxRounds` 默认为 `256`,同时也是调用覆盖值的部署上限。`maxHandoffChars` 和 `maxResultChars` 均默认为 `16384`。三者都是正安全整数配置值。过大的交接会失败,而不会被静默截断;`maxResultChars` 单独限制面向父级的完整成功文本,包括外层文本和截断标记,并且不会改变跨轮状态。最后一个允许轮次报告 `continue` 后,固定脚本返回 `budget-limited`;`complete` 和 `blocked` 会立即返回最终报告与已启动轮次数。
工作流语言会把正常结束但未成功的子 agent 映射为 `null`。固定脚本会在报告验证前检测该值,并返回 `round-failed`,其中包含失败轮次,以及存在时的上一份成功交接;工具会把它转成错误,而不会误判为畸形报告或预算耗尽。Ralph 不添加重试策略。致命的 provider 启动、传输、工作线程和工作流错误仍是通用工作流失败,因为这些路径上的工作流接缝不携带可恢复的子报告。
### 模型与 UI 表面
模型只能提供 `objective` 和可选的 `maxRounds`;provider 选择、报告 schema、交接上限和脚本都由部署拥有。固定提示区段说明,只有直接人类明确要求 Ralph 或全新 agent 迭代时才使用 `ralph`,并将其与同会话目标、有界委派和通用扇出工作流区分开。这是指导,而不是新的目标 UX 状态机。
ACP 和终端展示使用通用 `ralph` 卡片,并把目标作为原始输入。成功完成与阻塞的外层文本会说明结果由工作者报告,而不会把它呈现为独立认证。父转录只保留原始工具调用,以及一份有界成功终止报告或一个错误,不包含中间子 agent 消息。发布的无头、TUI 与 ACP 组合会在现有工作流引擎旁加载该插件;JSON-RPC 保持不变,因为其默认组合不暴露工作流。
## 测试
单元测试覆盖配置与调用上限解析、provider 能力拒绝、固定启动请求路由与子 agent 上限、全部成功终止结果、普通子 agent 失败外层值、畸形及过大边界值、成功结果精确截断、中止时序、处置、渲染意图、提示生命周期和命名空间插件形状,并达到逐文件 100% 覆盖率。工作流引擎测试证明 provider 路由会同步验证、每次运行的子 agent 上限可低于部署上限,并且 provider 覆盖会选择每个子 agent 且不改变配置默认值,其中包括普通 Node 下构建后的 `lib/worker.cjs`。
一项无密钥真实栈集成测试通过实际工作线程引擎、spawn provider、结构化输出运行时和 agent loop 驱动固定脚本。它证明子 agent 标识不同、没有 `seedLength`、继承 cwd、两个子请求都不含父历史标记、上一份报告只精确出现在下一轮交接中、只产生一个阶段事件、终止完成以及两个子 agent 都被处置。同一真实栈还覆盖阻塞与轮次上限结果、未规范化及语义无效报告、过大交接、保留上一份有效交接的普通子 agent 失败,以及取消后达到子 agent 静止状态。一项已发布的无密钥无头快照还会启动真实的 `examples/headless-agent` 组合、调用 `ralph`、固定父级流式转录,并检查持久化日志中存在两个不同且无种子的子会话,且第一轮交接只出现在第二轮。工具测试固定通用调用/结果展示,而 ACP 重放请求头快照固定发布的 schema 与提示指导转录表面。
## 考虑过的替代方案
- **把 Ralph 放进同会话目标驱动器** — 拒绝,因为目标轮次有意保留同一段对话,而 Ralph 的定义性属性是每轮使用全新上下文;合并两者会让目标生命周期与子 agent 编排无法分离。
- **在通用工作流工具上暴露 `fresh` 或循环标志** — 拒绝,因为模型编写的脚本表面应保持通用且与 provider 无关;Ralph 的固定报告协议和停止策略值得拥有一个可评审消费者。
- **为了方便重放而使用 `subagent_fork`** — 拒绝,因为继承的已完成回合是隐式、不断增长的交接状态,并违反全新上下文契约。工作区加一份结构化报告即可重放,无需插入人为取消记录。
- **让工具直接调用 subagent 接缝** — 拒绝,因为现有工作流引擎已经拥有前台编排、结构化子 agent、取消传播、工作线程终止、事件和静止处置。复用它可以展示插件组合,而不是构建第二个循环运行时。
- **静默截断大型报告** — 拒绝,因为截断可能删除状态证据或下一步,却仍看似权威交接。生产者必须在配置边界内发出有效报告。
## 后果
- 全新 agent 迭代成为一项一等模型工具,并完全以现有接缝之上的可移除插件实现。
- 目标轮次与 Ralph 轮次保持不同概念:前者是一次同会话续行回合,后者是前台工作流中的一个全新子 agent。
- 工作区成为权威跨轮记忆,因此工作者必须检查和验证工作区,而不能信任叙事性交接。
- 宽裕的轮次上限允许大量自治工作,而部署配置仍会限制子 agent 数量,并且每次交接始终受大小约束。
- provider 路由与可降低的每次运行子 agent 上限成为显式的工作流启动关注点,但不扩展脚本或普通工作流工具表面。
## 已知限制与推迟工作
- 完成与阻塞状态由工作者自行声明。独立 evaluator、evaluator 驱动的反馈轮次、完成证书或对抗式 verifier 被有意推迟。
- 运行位于前台且只存在于进程内。后台收集、持久化/恢复、调度和重启恢复均不存在。
- 轮次数是唯一聚合预算。token、货币、耗时和 provider 用量预算仍属于未来的独立策略。
- 每轮创建一个子 agent。轮内扇出、evaluator/工作者角色分离、动态 provider 或模型选择,以及跨运行日志均被推迟。
- 普通子 agent 失败会结束运行且不重试,同时保留失败轮次与上一份成功交接。致命工作流基础设施错误可能在固定脚本返回该状态前结束;增加重试或更丰富的失败传输需要独立的策略与接缝设计。
- 提示指导模型不要递归调用 Ralph;结构化的子 agent 工具限制需要另行设计工作流子策略表面。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-human-goal-command.md: a272206a3bfad50a01ce871c56c7e7bcf924684e
2026-07-19-human-goal-command.zh.md: 370c9bc24510320c70e3d789926c492e543968b1

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# Agent Note: Human `/goal` command
Status: implemented
English | [中文](2026-07-19-human-goal-command.zh.md)
## Problem
The same-session goal domain and model tools provide the state machine and semantic natural-language path, but they are not a sufficient human UX. A user needs to inspect the exact current phase and round budget without asking the model, explicitly pause or clear work without spending a model turn, and rearm a restored active goal after the required post-resume human decision. Implementing those actions independently in TUI and ACP would duplicate parsing, let the surfaces drift, and risk routing an unknown or unavailable command into the model.
The command must also respect the goal design's two kinds of state. Durable phase, objective, revisions, and rounds come from the session log; process-local activation decides whether an active goal may continue automatically. Showing only “active” after a resume would be misleading when the restored goal is intentionally disarmed and waiting for human authorization.
## Decision
`@deepseek-ai/dsh-command-goal` in `packages/goal/command-goal/` is a command producer over `ctx.commands` and `ctx.goals`. It registers one global `goal` definition, so every command adapter in the composition discovers the same command; an incompatible app omits this producer rather than masking its registration at an adapter. The handler receives the exact target agent from command dispatch, reads or mutates that agent's goal through the domain service, and returns direct plain-text UI output. It does not import either adapter or the concrete agent loop.
The command follows the compact Codex shape in the [public OpenAI Codex TUI dispatcher at commit `678157a`](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805): bare status, a free-form objective, and `clear`, `edit`, `pause`, or `resume` controls. The commit permalink makes the researched grammar durable even as Codex evolves. This repository keeps its own event-sourced state, round-count policy, and post-resume activation rule rather than copying Codex's SQLite, token budget, or automatic-resume behavior.
### Grammar and lifecycle verbs
`/goal` reports the objective, human-readable durable phase, `roundsStarted/maxGoalRounds`, process-local `armed` or `disarmed` activation, and commands meaningful from that state. With no current goal it reports that fact plus complete usage. Reading status adds no session event.
`/goal <objective>` creates an active armed goal. A completed goal may be replaced, which creates a fresh goal identity through the existing domain rule. Any unfinished goal makes the command fail directly with instructions to use inline edit or explicit clear. The generic command service deliberately has no modal confirmation API, so silently clearing and creating two durable records would manufacture destructive consent and expose a non-atomic failure window.
`/goal edit <objective>` edits the current non-complete goal without changing phase or activation. On a completed goal it creates a fresh active goal because the domain does not permit completed state to resume and a new completion objective is a new goal identity. Bare `edit` is an error rather than an editor launch because ACP's shared unstructured command contract has no portable modal editor.
`/goal pause`, `/goal resume`, and `/goal clear` call the matching compare-and-set domain verbs against the current view. Resume covers both stopped durable phases and an active-but-disarmed goal after session resume, fork, or driver replacement. Domain rules still reject exhausted round caps, redundant active/armed resume, invalid phase transitions, and stale identity. Clear removes the current pointer while the session log retains the revisioned tombstone and earlier snapshots.
Control words are ASCII-case-insensitive after outer whitespace trimming. They are controls only when they occupy the full suffix; any other non-empty text is an objective. This matches the predictable free-form command rule: `/goal pause after verification` is a goal objective, not a partially parsed pause command.
### Output and failure boundary
Status output omits branded ids and compare-and-set revisions because those are model/plugin coordination details rather than human controls. It includes activation because that fact changes whether work will continue, and a blocked goal includes its durable policy code and human-readable explanation. Command hints are derived from the exact state: an armed active goal offers pause, a disarmed active or paused/blocked goal offers resume, and a completed goal offers replacement or clear.
Expected `GoalError` failures become one stable, branded-id-free `CommandResult.error`, so domain diagnostics do not leak compare-and-set internals into the human surface and invalid operations never enter model history. The current status supplies the actionable state-specific recovery. Other exceptions remain adapter-visible command failures; treating programmer faults as ordinary domain errors would hide defects. The command handler performs only synchronous domain mutations, so request cancellation is decided by the command registry before the mutation begins and there is no escaped asynchronous side effect to unwind.
Generic slash input, status text, and errors are not persisted. Successful goal mutations use the existing `Agent.inject()` path, producing the raw model-visible goal snapshot or clear tombstone that persistence already owns. The command therefore changes no session format and introduces no second audit record that could disagree with the domain event.
### App composition
`agent-spine-demo` accepts an optional `goals` composition object containing the goal-domain and model-tool owner configs. Omission or `false` leaves the stack unmounted. This explicit opt-in is important for headless one-shot callers: their result API settles one correlated physical turn and must not silently become a long-running logical goal operation.
The interactive app bundles make the opposite product choice. ACP and TUI default `goals` to the owner defaults and mount the goal domain, model tools, same-session driver, command registry, and this producer. Both apps accept `goals: false` as one coherent stack opt-out. The Python SDK runtime closure ships this producer alongside ACP, commands, and the goal stack so an external `cordis.yml` can compose the same command.
## Testing
The producer suite uses the real command registry, goal service, agent registry, and session log. It covers Loader-safe exports, registry discovery, disposal, empty status, objective parsing, unfinished replacement refusal, inline edit, completed replacement, all missing-state controls, pause/resume/clear, every durable phase, blocked code/explanation presentation, armed/disarmed presentation, sanitized domain errors, unexpected failures, and persisted mutation records. App composition tests cover explicit spine opt-in, TUI/ACP defaults, coherent opt-out, forwarded domain/tool config, command discovery, the packaged-runtime closure, and the expanded model-tool assembly. A keyless snapshot boots the shipped ACP application, observes its advertised `/goal` metadata, invokes `/goal` directly, and pins the no-model-turn result; the surrounding ACP snapshots also pin the goal tool schemas in that composition.
## Alternatives considered
- **Let the model handle `/goal` as ordinary text** — rejected because status and direct lifecycle actions would cost a model turn, could be reinterpreted, and would not provide deterministic ACP discovery.
- **Implement separate TUI and ACP handlers** — rejected because grammar, error behavior, and goal-state formatting would drift and optional deployments could not add or remove the capability as one effect.
- **Add modal editing and replacement confirmation to `ctx.commands`** — rejected because the existing cross-surface contract is unstructured input plus direct output; a general interaction protocol needs more than this one producer.
- **Silently replace an unfinished goal** — rejected because it combines clear and create without atomicity or explicit destructive intent.
- **Expose goal id and revision in human status** — rejected because human actions always target the exact current view inside one synchronous handler; those fields add implementation noise without preventing another race.
- **Enable goals unconditionally in the UI-less spine** — rejected because one-shot SDK/CLI settlement is a physical-turn API, not a goal-operation API.
## Consequences
- TUI and ACP expose one Codex-shaped `/goal` command supplied by a removable plugin.
- Human status distinguishes durable phase from live activation and reports the exact goal-round cap.
- Direct pause, resume, clear, creation, and edit consume no model turn while their accepted mutations remain reconstructable from the session log.
- Restored sessions wait for a human decision; `/goal resume` is the literal command path, while an ordinary prompt in any language may authorize the model tool path.
- Headless compositions retain one-turn behavior unless they explicitly opt into goals and define their own long-running settlement contract.
## Known limitations and deferred work
- The portable command contract has no modal editor or confirmation interaction; inline edit and explicit clear are intentional until a general cross-surface interaction primitive exists.
- `/goal` does not accept a per-command round cap. Deployment config owns the default, and the authorized model tool can edit a cap after direct human instruction.
- TUI and ACP render portable plain text rather than a continuously updated goal status widget. Reconnectable command output and adapter-specific status indicators are deferred.
- The headless CLI and JSON-RPC front doors do not consume the command registry.
- The command observes and mutates state but does not certify completion or blockers. Evaluator-backed certification remains deferred to a separate policy layer with an explicit authority and isolation contract.

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# Agent Note: 面向人类的 `/goal` 命令
Status: implemented
[English](2026-07-19-human-goal-command.md) | 中文
## 问题
同会话目标领域和模型工具提供了状态机与自然语言语义路径,但尚不足以构成面向人类的 UX。用户需要在不询问模型的情况下检查准确的当前阶段与回合预算,在不消耗模型轮次的情况下明确暂停或清除工作,并在会话恢复后经过必要的人类决策重新激活已恢复的活跃目标。若在 TUI 与 ACP 中分别实现这些操作,就会重复解析逻辑、导致两个表面发生偏差,还可能把未知或不可用的命令交给模型处理。
该命令还必须遵守目标设计中的两类状态。持久阶段、目标描述、修订号与回合来自会话日志;进程本地激活态决定活跃目标能否自动继续。恢复后若只显示“活跃”,就会掩盖目标已被有意设为未激活、正在等待人类授权这一事实。
## 决策
位于 `packages/goal/command-goal/` 的 `@deepseek-ai/dsh-command-goal` 是构建在 `ctx.commands` 与 `ctx.goals` 之上的命令生产方。它注册一个全局 `goal` 定义,因此组合中的每个命令适配器都会发现同一个命令;不兼容的应用应省略该生产方,而不是在适配器处屏蔽其注册。处理器从命令分发接收准确的目标 agent(智能体),通过领域服务读取或改变该 agent 的目标,并返回直接的纯文本 UI 输出。它不导入任何适配器或具体 agent loop(智能体循环)。
该命令遵循 [OpenAI Codex 公共仓库 `678157a` 提交中的 TUI 分发实现](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805)所呈现的紧凑形态:无参数状态查询、自由形式目标描述,以及 `clear`、`edit`、`pause` 或 `resume` 控制。固定到提交的链接使调研所得语法在 Codex 后续演进时仍可核验。本仓库保留自身的事件溯源状态、回合计数策略与恢复后激活规则,而不复制 Codex 的 SQLite、token 预算或自动恢复行为。
### 语法与生命周期动词
`/goal` 报告目标描述、面向人类的持久阶段、`roundsStarted/maxGoalRounds`、进程本地 `armed` 或 `disarmed` 激活态,以及当前状态下有意义的命令。没有当前目标时,它会报告该事实与完整用法。读取状态不会添加会话事件。
`/goal <objective>` 创建活跃且已激活的目标。已完成目标可以被替换,此时通过现有领域规则创建新的目标身份。任何未完成目标都会让命令直接失败,并提示用户使用行内编辑或明确清除。通用命令服务有意不提供模态确认 API;若静默执行清除再创建两条持久记录,就等于凭空制造破坏性同意,并暴露一个非原子的失败窗口。
`/goal edit <objective>` 编辑当前未完成目标,但不改变其阶段或激活态。若目标已经完成,则创建一个新的活跃目标,因为领域不允许恢复已完成状态,而新的完成条件应拥有新的目标身份。单独使用 `edit` 会返回错误而不是启动编辑器,因为 ACP 共享的非结构化命令契约没有可移植的模态编辑器。
`/goal pause`、`/goal resume` 与 `/goal clear` 使用当前视图调用相应的比较并交换领域动词。恢复既适用于停止的持久阶段,也适用于会话恢复、fork 或驱动器替换后处于活跃但未激活状态的目标。领域规则仍会拒绝已耗尽的回合上限、对已活跃且已激活目标的重复恢复、非法阶段转换与陈旧身份。清除会移除当前指针,而会话日志保留带修订号的墓碑和此前快照。
控制词会在去除两端空白后按 ASCII 大小写不敏感方式匹配。只有占据完整后缀时才被视为控制;其余任何非空文本都是目标描述。这保持了可预测的自由形式命令规则:`/goal pause after verification` 是目标描述,而不是被部分解析的暂停命令。
### 输出与失败边界
状态输出省略品牌化 id 与比较并交换修订号,因为它们属于模型/插件协调细节,而不是人类控制项。输出包含激活态,因为该事实会改变工作是否继续;被阻塞的目标还会包含其持久策略代码和面向人类的说明。命令提示从准确状态派生:已激活的活跃目标提供暂停,未激活的活跃目标或已暂停/被阻塞目标提供恢复,已完成目标则提供替换或清除。
预期的 `GoalError` 失败会变为一个稳定且不含品牌化 id 的 `CommandResult.error`,使领域诊断不会向人类表面泄露比较并交换内部细节,非法操作也绝不会进入模型历史。当前状态负责提供针对具体状态且可执行的恢复路径。其他异常仍是适配器可见的命令失败;若把程序缺陷当成普通领域错误,就会隐藏问题。命令处理器只执行同步领域变更,因此请求取消会在变更开始前由命令注册表决定,不存在需要回滚的外逸异步副作用。
通用斜杠输入、状态文本与错误不会持久化。成功的目标变更使用现有 `Agent.inject()` 路径,产出持久化本就拥有的原始模型可见目标快照或清除墓碑。因此该命令不会改变会话格式,也不会引入可能与领域事件不一致的第二份审计记录。
### 应用组合
`agent-spine-demo` 接受可选的 `goals` 组合对象,其中包含目标领域与模型工具的所有者配置。省略或设为 `false` 时不会挂载该栈。对无头单次调用方而言,明确选择加入非常重要:它们的结果 API 会在一个相关物理轮次后结束,不能静默变成长时间运行的逻辑目标操作。
交互式应用包作出相反的产品选择。ACP 与 TUI 默认让 `goals` 使用所有者默认值,并挂载目标领域、模型工具、同会话驱动器、命令注册表与本生产方。两个应用都接受 `goals: false` 作为一致的整体退出选项。Python SDK 运行时闭包把本生产方与 ACP、命令及目标栈一并交付,使外部 `cordis.yml` 能组合相同命令。
## 测试
生产方测试套件使用真实命令注册表、目标服务、agent 注册表与会话日志。它覆盖 Loader 安全导出、注册表发现、资源释放、空状态、目标描述解析、拒绝未完成目标替换、行内编辑、已完成目标替换、所有缺失状态控制、暂停/恢复/清除、每个持久阶段、阻塞代码/说明展示、已激活/未激活展示、经净化的领域错误、意外失败与持久变更记录。应用组合测试覆盖显式主干选择加入、TUI/ACP 默认值、一致退出、转发的领域/工具配置、命令发现、打包运行时闭包与扩展后的模型工具组装。一个无密钥快照会启动交付的 ACP 应用,观察其公布的 `/goal` 元数据,直接调用 `/goal`,并固定不经过模型轮次的结果;周边 ACP 快照还会固定该组合中的目标工具 schema。
## 考虑过的替代方案
- **让模型把 `/goal` 当作普通文本处理**——不予采纳,因为状态与直接生命周期操作会消耗模型轮次、可能被重新解释,也无法提供确定性的 ACP 发现。
- **分别实现 TUI 和 ACP 处理器**——不予采纳,因为语法、错误行为与目标状态格式会发生偏差,可选部署也无法把该功能作为一个 effect 统一增删。
- **为 `ctx.commands` 添加模态编辑与替换确认**——不予采纳,因为现有跨表面契约是非结构化输入加直接输出;通用交互协议所需的设计远超这一个生产方。
- **静默替换未完成目标**——不予采纳,因为这会在没有原子性或明确破坏性意图的情况下组合清除与创建。
- **在人类状态中暴露目标 id 与修订号**——不予采纳,因为人类操作始终在一个同步处理器内针对准确当前视图;这些字段只会增加实现噪声,无法消除其他竞争。
- **在无 UI 主干中无条件启用目标**——不予采纳,因为单次 SDK/CLI 的结束契约是物理轮次 API,而不是目标操作 API。
## 后果
- TUI 与 ACP 暴露由可移除插件提供的同一个 Codex 形态 `/goal` 命令。
- 人类状态会区分持久阶段与实时激活态,并报告准确的目标回合上限。
- 直接暂停、恢复、清除、创建与编辑不消耗模型轮次,而其已接受变更仍可从会话日志重建。
- 恢复后的会话等待人类决策;`/goal resume` 是字面命令路径,任何语言的普通提示词则可以授权模型工具路径。
- 无头组合保持单轮行为,除非明确选择加入目标并定义自己的长时间运行结束契约。
## 已知限制与延期工作
- 可移植命令契约没有模态编辑器或确认交互;在出现通用跨表面交互原语之前,行内编辑与明确清除是有意选择。
- `/goal` 不接受逐命令回合上限。部署配置拥有默认值;得到直接人类指示后,已授权模型工具可以编辑上限。
- TUI 与 ACP 渲染可移植纯文本,而不是持续更新的目标状态组件。可重连命令输出和适配器专用状态指示器予以延期。
- 无头 CLI 与 JSON-RPC 前端不消费命令注册表。
- 该命令观察并改变状态,但不认证完成或阻塞。基于评估器的认证延期到具有明确权限与隔离契约的独立策略层。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-model-facing-goal-tools.md: 7cc3907d708115207e166455ea988120a03d768b
2026-07-19-model-facing-goal-tools.zh.md: 1a381160354d6a2a24f957f41bc9e375c1ab01ca

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# Agent Note: Model-facing same-session goal tools
Status: implemented
English | [中文](2026-07-19-model-facing-goal-tools.zh.md)
## Problem
The persisted goal domain deliberately exposes lifecycle verbs to plugins, not directly to a model. A model still needs a small control surface for discovering the current goal, creating one from human intent, and changing its lifecycle. Prompt guidance alone cannot establish who authorized a mutation: a subagent, injected plugin message, stale model turn, or resumed session could all produce the same tool arguments.
The surface also needs to preserve the separation between durable state and live execution authority. A restored or forked session can replay an active goal but starts disarmed; a later human request such as “continue” should let the model rearm it without requiring a literal command phrase. Conversely, an admitted autonomous goal round must be able to report completion or a persistent blocker without gaining permission to edit, pause, resume, or replace the human objective.
## Decision
`@deepseek-ai/dsh-tool-goal` in `packages/goal/tool-goal/` contributes three exclusive tools and one system-prompt policy section over `ctx.goals`: `get_goal`, `create_goal`, and `update_goal`. The names and read-create-update shape follow Codex's compact goal tool surface while the authority rules use this repository's public agent, session, tool, and goal seams.
### Tools and model contract
`get_goal()` returns the current goal or `null`. A non-null result contains the compare-and-set id and revision, objective, durable phase, admitted and maximum goal rounds, any blocker reason, plus the process-local activation observation. `create_goal(objective, max_goal_rounds?)` creates one long-running same-session objective. `update_goal(goal_id, revision, action, objective?, max_goal_rounds?, blocked_reason?)` supports `edit`, `pause`, `resume`, `complete`, and `blocked`; replacement fields are valid only for `edit`, while a non-empty `blocked_reason` is required only for `blocked` and persists under the stable `model-reported` code.
The prompt tells the model that it may infer goal intent from a direct human request in any wording or language, but should not convert routine single-turn work into a goal. It must read the current goal before updating and copy the exact id and revision. On a restored or forked active-but-disarmed goal, a semantic human request to continue is grounds for `resume`. Completion is reserved for an achieved objective, and difficulty or uncertainty alone is not a blocker; a block report must name the concrete condition.
All three tools use exclusive execution so a model-ordered batch observes prior mutations and their new revisions. Results are compact JSON. ACP presentation is a pure function of arguments and uses generic read or mutation cards; activation is reported only as live observation and is never written into replay state.
An autonomous goal round that successfully reports completion or blocking contributes the existing terminal `agent/turn-stop` decision for that physical turn, preventing an unnecessary follow-up request. Direct-human mutations do not contribute a terminal stop: the assistant can acknowledge the change, and concurrent human steering remains available to ordinary continuation folding.
### Execution authority
Every call requires an `exec.agent` that is the exact running object in `AgentRegistry`, is the current inherited driver initiator, and has an open turn. These are execution-time checks and cannot be bypassed by prompt injection or hand-authored tool arguments.
Create, edit, pause, and resume additionally require an accepted user message or user steering event in the current turn of a runtime-root agent. Root ownership is derived from the live agent graph rather than durable fork ancestry: a resumed fork can receive direct human authority, while a live child remains a subagent and cannot mutate these states. User source is a host attestation: `Agent.send()` and `steer()` default an omitted source to `{ kind: 'user' }`, so non-human producers must label their own content. The runtime proves provenance, not whether the human's wording semantically warrants creation or resumption; that interpretation remains with the model.
Complete and blocked accept either direct-human authority or the exact current goal round. Goal-round authority requires a goal-sourced `user/message` whose goal id, revision, and round all equal the folded current goal. It grants only the two terminal reports. Direct human authority may stop a goal immediately.
### Blocking threshold
`blockedAfterConsecutiveRounds` is a validated positive safe-integer configuration with default `3`. When an autonomous goal round calls `blocked`, the plugin mechanically requires at least that many admitted rounds and a non-empty explanation; the configured value also appears in model guidance. The runtime cannot determine whether those rounds encountered the same blocking condition, so semantic equivalence remains a model judgment. This count is deliberately separate from the goal's generous continuation cap.
## Testing
Unit coverage pins registration and disposal, exclusive scheduling, generated prompt policy, generic presentation, direct-human creation in a non-English turn, exact/stale/non-running agent and driver checks, live-child rejection, resumed-fork root authority, steering, mismatched initiators, read/create/edit/pause/resume behavior, conditional blocker explanations, rearming after a session-start edge, authority-before-conditional-argument failures, exact goal-round completion, autonomous-only terminal stopping, the configured blocking threshold, and immediate human blocking. A keyless replay snapshot mounts the goal domain and tools into the real headless one-shot application, drives `create_goal` and `get_goal` through the shipped loop and persistence stack, pins its stream-json transcript, and inspects the externally persisted goal change. The echo-agent fixture is intentionally not used as an application-UX surrogate.
## Alternatives considered
- **Rely on prompt instructions for authority** — rejected because text can guide model judgment but cannot authenticate the live caller, turn, or source event.
- **Expose every goal-service verb as a separate tool** — rejected because a compact read/create/update surface reduces schema cost and keeps compare-and-set behavior uniform.
- **Require exact command phrases** — rejected because natural-language intent, including languages other than English, should be interpreted by the model; execution authority depends on provenance rather than spelling.
- **Authorize from persisted root or fork metadata** — rejected because a fork that becomes an independently resumed top-level session should accept new human authority, while a currently owned child should not.
- **Let autonomous rounds edit or resume the goal** — rejected because continuation authority is narrower than authority to redefine or restart the human objective.
- **Treat the blocked threshold as an evaluator** — rejected because event counts cannot prove that an obstacle is semantically unchanged or truly terminal.
## Consequences
- Models receive a stable, compact lifecycle surface without direct access to the goal service.
- State-changing calls are constrained by live runtime provenance as well as durable compare-and-set references.
- Human requests can create and rearm goals through ordinary natural language, while restored sessions remain inert until such input arrives.
- Goal rounds can finish or report a repeated blocker but cannot broaden their own mandate.
- Deployment policy selects the blocking lower bound; the same resolved value controls enforcement and prompt guidance.
## Known limitations and deferred work
- Semantic classification of a substantial goal, a request to continue, objective completion, and the same blocking condition remains model judgment. An independent evaluator or completion certificate is deferred.
- These tools mutate goal state but do not schedule goal rounds, classify abnormal driver stops, or cancel an active turn; the same-session driver owns those behaviors.
- Goal-round authority is dormant unless a separately mounted continuation driver admits goal-sourced user turns; this tool package never manufactures that authority itself.
- Human slash-command discovery and rendering are owned by the separate [`dsh-command-goal`](../../../../packages/goal/command-goal/README.md) plugin.
- A scope can hide tool registrations while leaving the independently registered prompt section visible unless the deployment scopes both together.

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# Agent Note: 面向模型的同会话目标工具
Status: implemented
[English](2026-07-19-model-facing-goal-tools.md) | 中文
## 问题
持久目标领域有意把生命周期动词提供给插件,而不直接提供给模型。模型仍然需要一个小型控制面,用于发现当前目标、根据人类意图创建目标并改变其生命周期。仅靠提示词指导无法确定是谁授权了一次变更:子智能体、注入的插件消息、陈旧的模型轮次或恢复后的会话都可能产生相同的工具参数。
该表面还需要保持持久状态与实时执行权限之间的分离。恢复或 fork(派生)后的会话可以回放活跃目标,但初始处于未激活状态;后续人类提出“继续”之类的请求时,模型应能重新激活目标,而无需用户使用字面命令。相反,已接纳的自主目标回合必须能够报告完成或持续阻塞,却不能因此获得编辑、暂停、恢复或替换人类目标的权限。
## 决策
位于 `packages/goal/tool-goal/` 的 `@deepseek-ai/dsh-tool-goal` 在 `ctx.goals` 之上贡献三个独占工具和一个系统提示词策略段:`get_goal`、`create_goal` 与 `update_goal`。工具名称和读取—创建—更新形态遵循 Codex 的紧凑目标工具表面,而权限规则使用本仓库公共的 agent(智能体)、会话、工具与目标接缝。
### 工具与模型契约
`get_goal()` 返回当前目标或 `null`。非空结果包含用于比较并交换的 id 与修订号、目标描述、持久阶段、已接纳和最大目标回合数、可能存在的阻塞原因,以及进程本地激活态观察。`create_goal(objective, max_goal_rounds?)` 创建一个长时间运行的同会话目标。`update_goal(goal_id, revision, action, objective?, max_goal_rounds?, blocked_reason?)` 支持 `edit`、`pause`、`resume`、`complete` 和 `blocked`;替换字段仅对 `edit` 有效,非空的 `blocked_reason` 仅在 `blocked` 时必填,并以稳定代码 `model-reported` 持久化。
提示词告诉模型:它可以从任何措辞或语言的直接人类请求中推断目标意图,但不应把常规单轮工作转换为目标。更新前必须读取当前目标,并复制准确的 id 和修订号。对于恢复或派生后处于活跃但未激活状态的目标,人类在语义上要求继续即可成为执行 `resume` 的依据。只有目标已经实现时才能标记完成,困难或不确定性本身不构成阻塞;阻塞报告必须说明具体条件。
三个工具都采用独占执行,使模型排序的批次可以观察此前变更及其新修订号。结果为紧凑 JSON。ACP 展示是参数的纯函数,使用通用读取或变更卡片;激活态仅作为实时观察返回,绝不会写入回放状态。
自主目标回合成功报告完成或阻塞后,插件会为该物理轮次贡献现有的终止型 `agent/turn-stop` 决策,避免再发起一次不必要的模型请求。直接人类发起的变更不会贡献终止决策:智能体可以确认该变更,并且并发的人类 steering(转向)仍可参与普通的继续执行折叠。
### 执行权限
每次调用都要求存在 `exec.agent`,且它必须是 `AgentRegistry` 中完全相同的运行中对象、当前继承的驱动发起者,并处于开放轮次内。这些检查在执行时进行,不能通过提示词注入或手写工具参数绕过。
创建、编辑、暂停与恢复还要求运行时根智能体的当前轮次已经接纳一条用户消息或用户 steering(转向)事件。根所有权来自实时智能体图,而非持久的 fork 祖先关系:恢复后的派生会话可以接收新的直接人类权限,实时子智能体则仍然是子智能体,不能改变这些状态。用户来源是宿主的证明:`Agent.send()` 和 `steer()` 会把省略的来源默认为 `{ kind: 'user' }`,因此非人类生产者必须标注自己的内容。运行时证明来源,而不判断人类措辞在语义上是否足以创建或恢复目标;该解释仍由模型完成。
完成与阻塞既接受直接人类权限,也接受准确的当前目标回合。目标回合权限要求存在一条来源为目标的 `user/message`,其中目标 id、修订号和回合都与折叠后的当前目标相等。它只授予这两种终止报告权限。直接人类权限可以立即停止目标。
### 阻塞阈值
`blockedAfterConsecutiveRounds` 是经过校验的正安全整数配置,默认值为 `3`。自主目标回合调用 `blocked` 时,插件会机械地要求至少已经接纳该数量的回合并提供非空说明;配置值也会出现在模型指导中。运行时无法判断这些回合是否遇到了语义上相同的阻塞条件,因此语义等价性仍由模型判断。该计数特意与目标的宽裕继续执行上限分离。
## 测试
单元测试固定注册与释放、独占调度、生成的提示词策略、通用展示、非英语轮次中的直接人类创建、精确/陈旧/非运行中智能体与驱动检查、实时子智能体拒绝、恢复后派生根的权限、steering、发起者不匹配、读取/创建/编辑/暂停/恢复行为、条件式阻塞说明、会话启动边沿后的重新激活、权限先于条件参数失败、准确目标回合的完成、仅自主回合触发终止、可配置阻塞阈值,以及人类立即阻塞。无密钥回放快照把目标领域和工具挂载到真实的 headless 单次运行应用中,通过随附循环与持久化栈驱动 `create_goal` 和 `get_goal`,固定 stream-json 转录,并检查外部持久化的目标变更。这里有意不把 echo-agent 测试夹具当作应用 UX 的替代品。
## 考虑过的替代方案
- **依赖提示词指令实施权限**——不予采纳,因为文本可以指导模型判断,却不能认证实时调用者、轮次或来源事件。
- **把每个目标服务动词分别暴露为工具**——不予采纳,因为紧凑的读取/创建/更新表面可以降低模式成本,并保持统一的比较并交换行为。
- **要求精确命令短语**——不予采纳,因为自然语言意图(包括英语以外的语言)应由模型解释;执行权限取决于来源,而不是拼写。
- **根据持久的根或派生元数据授权**——不予采纳,因为成为独立恢复顶层会话的派生应接受新的人类权限,而当前仍受所有权约束的子智能体则不应接受。
- **允许自主回合编辑或恢复目标**——不予采纳,因为继续执行权限比重新定义或重启人类目标的权限更窄。
- **把阻塞阈值当作评估器**——不予采纳,因为事件计数无法证明障碍在语义上未改变或确实不可继续。
## 后果
- 模型获得稳定而紧凑的生命周期表面,无需直接访问目标服务。
- 改变状态的调用同时受到实时运行时来源与持久比较并交换引用的约束。
- 人类可以通过普通自然语言请求创建和重新激活目标,而恢复后的会话在收到此类输入前保持静止。
- 目标回合可以完成或报告重复阻塞,但不能自行扩大任务权限。
- 部署策略选择阻塞下限;同一个解析后的值同时控制执行与提示词指导。
## 已知限制与延期工作
- 是否属于重大目标、是否要求继续、目标是否完成以及阻塞条件是否相同,仍由模型进行语义分类。独立评估器或完成证书予以延期。
- 这些工具会改变目标状态,但不调度目标回合、不分类异常驱动停止,也不取消活跃轮次;这些行为由同会话驱动器负责。
- 除非另行挂载的继续执行驱动器接纳了目标来源的用户轮次,否则目标回合权限路径处于休眠状态;本工具包本身不会制造这种权限。
- 面向人类的斜杠命令发现与渲染由独立的 [`dsh-command-goal`](../../../../packages/goal/command-goal/README.md) 插件负责。
- 若部署没有同时设定两个注册项的作用域,某个作用域可能隐藏工具注册,却保留独立注册的提示词段。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-persisted-same-session-goal-domain.md: 00600b2c49646ebd3b692154ef945eb79a33b032
2026-07-19-persisted-same-session-goal-domain.zh.md: 6a554438d0d70a5b4ccbf7b6ee77853af9c9ce69

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# Agent Note: Persisted same-session goal domain
Status: implemented
English | [中文](2026-07-19-persisted-same-session-goal-domain.zh.md)
## Problem
A long-running objective outlives one prompt, turn, or model request. Treating that objective as an in-memory loop variable loses it on process restart, while putting it only in UI state makes model behavior impossible to reconstruct. Treating every session turn as progress also charges unrelated human messages against an automatic-work budget.
Durable lifecycle and permission to continue are different facts. A session may retain an active objective after restart or fork, but silently starting work when a user opens that session is surprising. The domain needs replayable state without persisted auto-execution authority, and it must remain a plugin on the public agent/session seams rather than a special case in the concrete loop.
## Decision
`@deepseek-ai/dsh-goal` in `packages/goal/goal/` owns one current same-session goal through `ctx.goals`. A goal has a branded id, objective, durable phase, compare-and-set revision, and `maxGoalRounds`. `defaultMaxGoalRounds` is a validated deployment setting with default `256`; `create()` materializes it internally before mutation rather than exposing resolution as another service verb.
The durable phases are `active`, `paused`, `blocked`, and `complete`. A blocked snapshot includes a policy-owned lower-kebab-case code and a normalized free-form message, so usage limits, round caps, execution failures, and human-input dependencies share one lifecycle state without losing their cause. A separate live activation is `armed` or `disarmed`. Creation and explicit resume arm activation; pause, completion, blocking, and clear disarm it. Edits preserve activation and any blocker reason; resume and completion clear that reason. Activation is never part of the persisted snapshot.
### Durable record and replay
Every non-clear mutation uses `Agent.inject()` to append a model-visible `context/message` containing a versioned full snapshot; the session projects that content verbatim. Clear appends a revisioned tombstone. The context source is `{ kind: 'goal', goalId, revision, round: 0 }`; metadata and rendered `<goal_state>...</goal_state>` content must agree exactly. This descriptive delimiter follows the repository's existing `<workspace_context>` convention and [Anthropic's published guidance to structure mixed prompt content with consistent descriptive XML tags](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices#structure-prompts-with-xml-tags). That is public model-experience prior art, not evidence about any provider's proprietary training corpus. The session log is the only durable source of truth, so persistence and fork inherit goal records without another database or header field.
The replay fold validates JSON shape, source attribution, rendered content, fresh ids, revision continuity, lifecycle transitions, counters, and monotonic per-goal timestamps. Goal rounds are positive sequential `user/message` source numbers for the current active revision and cannot exceed `maxGoalRounds`; ordinary session turns do not affect the counter. A malformed current-format record fails replay rather than being ignored or repaired.
When `Agent.inject()` defers a mutation inside an active tool batch, the service overlays the accepted payload in process memory so a later mutation can use its new revision. Reconciliation removes only an exact matching payload when the FIFO append becomes visible; reentrant append observers project each mutation exactly once. Incremental replay advances its cursor after each valid event and remains positioned at the first corrupt event, so later reads report the same durable fault. The durable log remains authoritative after restart.
### Lifecycle and live activation
At most one goal is current. Create requires no current non-complete goal and always generates a revision-one id not used earlier in the session; a completed goal may be replaced. Every other mutation carries the expected `GoalRef`, and stale ids or revisions reject. Resume accepts a paused or blocked phase, or a disarmed active goal, only when the round cap has remaining capacity. The domain validates blocker reason shape but deliberately leaves reason codes and the decision to block to policy consumers.
A cache built from any seed starts disarmed, and every `agent/session-start` edge disarms it again. `GoalService.disarm(agent)` also lets a lifecycle owner remove process-local authority without a session event, revision change, or `goal/changed` notification. Resume, fork, and continuation-driver replacement therefore preserve the durable objective and history but never initiate work on their own. A later human prompt can be interpreted by the model, whose policy surface may explicitly call resume and arm the goal.
### Service boundary
The service accepts only the exact live `Agent` object registered under its id. Successful mutation injection emits the scoped `goal/changed` event with contained listener failures. Policy consumers use this service plus the public `Agent` interface and `agent/*` events; the goal domain does not import or modify `dsh-agent-loop`.
## Testing
Unit coverage pins creation defaults, exact-live-agent checks, compare-and-set rejection, every lifecycle transition, blocker reason validation and retention, cap enforcement on resume, clear/replacement, seeded replay and `SessionStore.fork()` inheritance, session-start and lifecycle-owner disarming, active-goal rearming, FIFO deferred mutation reconciliation, reentrant append observation, rejected-injection rollback, stable corrupt-event replay, service/listener disposal, listener containment, backward-clock clamping, strict record decoding, lifecycle continuity, source/content agreement, and sequential round attribution. A keyless Loader/stdio process test mounts the service and a lifecycle consumer through test-only `cordis.yml`, then reads the persisted JSONL externally to verify the model-visible snapshot and absence of an unrequested goal round. The package source is held to the repository's per-file 100% coverage gate.
## Alternatives considered
- **Store goals in a separate database or session header** — rejected because the session log already supplies ordering, persistence, fork prefixes, and reconstructability; a second store introduces atomicity and lineage questions.
- **Use hidden log-only events** — rejected because durable state that changes future model behavior must be model-visible and reconstructable under the repository's logging invariant.
- **Persist activation and restart automatically** — rejected because opening or resuming a session must wait for human input; durable phase records status, not fresh authority to spend resources.
- **Count all session turns as goal rounds** — rejected because one session can contain human clarification, inspection, and unrelated work; only goal-attributed continuation turns consume this budget.
- **Add goal state or a generic loop abstraction to `dsh-agent-loop`** — rejected because state and continuation policy can compose through existing plugins, `Agent` verbs, and events without privileging the shipped loop implementation.
## Consequences
- Goal history survives persistence, resume, compaction of unrelated nodes, and session fork as ordinary session data.
- Resume and fork expose the same durable phase while remaining operationally inert until an explicit resume mutation arms activation.
- Full snapshots simplify inspection and strict replay but repeat the objective and state fields in model history until compaction shadows them.
- Revision and lifecycle validation reject tampered, partially written, or producer-inconsistent goal records early.
- Round caps bound continuation count only; policy consumers map round, token, currency, time, and provider limits to blocked reasons when they stop work.
## Known limitations and deferred work
- This domain records state but does not schedule goal rounds, cancel active turns, or classify abnormal stops.
- The actor that records `complete` or `blocked` is authoritative; an independent evaluator or completion certificate is deferred to a policy consumer.
- There is one current goal per session; parallel objective graphs and cross-session goal storage are absent.
- Plugins share one trusted process boundary. Direct session writers can counterfeit goal records; strict replay detects inconsistency and fails goal access at the offending record, but does not isolate plugins or repair the log.
- `GOAL_CHANGE_VERSION` has no pre-release compatibility promise or migration path.

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# Agent Note: 持久的同会话目标领域
Status: implemented
[English](2026-07-19-persisted-same-session-goal-domain.md) | 中文
## 问题
长时间运行的目标会跨越单个提示词、轮次或模型请求。若把该目标视为内存中的循环变量,进程重启时就会丢失;若只存放在 UI 状态中,又无法重建模型行为。若把会话中的每个轮次都视为目标进度,与自动工作无关的人类消息也会消耗预算。
持久生命周期与继续执行的权限是两个不同事实。会话在重启或 fork(派生)后可以保留活跃目标,但用户打开会话时静默启动工作并不符合直觉。该领域需要可回放的状态,却不能持久化自动执行权限;它还必须作为公共 agent(智能体)与会话接缝上的插件存在,而不是具体循环中的特例。
## 决策
位于 `packages/goal/goal/` 的 `@deepseek-ai/dsh-goal` 通过 `ctx.goals` 管理一个当前的同会话目标。目标包含品牌化 id、目标描述、持久阶段、比较并交换修订号和 `maxGoalRounds`。`defaultMaxGoalRounds` 是经过校验的部署配置,默认值为 `256`;`create()` 在变更前于内部将其解析为完整值,而不会把解析过程暴露为额外的服务动词。
持久阶段包括 `active`、`paused`、`blocked` 和 `complete`。阻塞快照包含由策略提供的 kebab-case 小写代码和规范化自由文本消息,因此用量限制、回合上限、执行失败和等待人工输入可以共享一个生命周期状态而不丢失原因。独立的实时激活态为 `armed` 或 `disarmed`。创建与显式恢复会激活目标;暂停、完成、阻塞和清除都会解除激活。编辑保留激活态及阻塞原因;恢复和完成会清除该原因。持久快照绝不包含激活态。
### 持久记录与回放
每次非清除变更都通过 `Agent.inject()` 追加一条模型可见的 `context/message`,其中包含带版本的完整快照;会话会将其内容原样投射给模型。清除操作追加带修订号的墓碑。上下文来源为 `{ kind: 'goal', goalId, revision, round: 0 }`;元数据必须与渲染后的 `<goal_state>...</goal_state>` 内容完全一致。这个描述性分隔符沿用了仓库已有的 `<workspace_context>` 约定,也符合 [Anthropic 关于用一致且描述明确的 XML 标签组织混合提示词内容的公开指南](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices#structure-prompts-with-xml-tags)。这是公开的模型体验先例,并非对任何提供方专有训练语料的推断。会话日志是唯一的持久事实来源,因此持久化和 fork 会继承目标记录,而无需另设数据库或头字段。
回放折叠会校验 JSON 形状、来源归属、渲染内容、新 id、修订连续性、生命周期转换、计数器以及单个目标内单调递增的时间戳。目标回合是当前活跃修订上带正数且连续编号的 `user/message` 来源,且不能超过 `maxGoalRounds`;普通会话轮次不会影响该计数器。当前格式的畸形记录会使回放失败,而不会被忽略或修复。
当 `Agent.inject()` 在活跃工具批次中延迟变更时,服务会在进程内叠加已接受的载荷,使后续变更可以使用新的修订号。FIFO 追加可见后,协调过程只移除完全匹配的载荷;重入的追加观察器对每次变更只投影一次。增量回放会在每个有效事件后推进游标,并停留在首个损坏事件处,因此后续读取会报告同一个持久故障。重启后仍以持久日志为准。
### 生命周期与实时激活态
最多只有一个当前目标。创建要求不存在未完成的当前目标,并始终生成该会话此前未使用过、修订号为一的 id;已完成目标可以被替换。其他每次变更都携带预期的 `GoalRef`,陈旧的 id 或修订号会被拒绝。仅当回合上限仍有余量时,暂停或阻塞阶段以及已解除激活的活跃目标才能恢复。领域层校验阻塞原因的形状,但会把原因代码和是否阻塞的决策留给策略消费者。
从任何种子构建的缓存都以未激活状态开始,每次 `agent/session-start` 边沿也会再次解除激活。`GoalService.disarm(agent)` 还允许生命周期所有者移除进程内权限,而不写入会话事件、不改变修订号,也不发出 `goal/changed` 通知。因此,恢复、fork 和继续执行驱动器替换都会保留持久目标与历史,但绝不会自行启动工作。后续人类提示词可由模型解释,其策略表面可以显式调用恢复操作并激活目标。
### 服务边界
服务只接受在对应 id 下注册的同一个实时 `Agent` 对象。成功注入变更后,它会发出带作用域的 `goal/changed` 事件,并隔离监听器失败。策略消费者通过本服务、公共 `Agent` 接口和 `agent/*` 事件工作;目标领域既不导入也不修改 `dsh-agent-loop`。
## 测试
单元测试固定创建默认值、精确实时 agent 校验、比较并交换拒绝、所有生命周期转换、阻塞原因校验与保留、恢复时的上限执行、清除与替换、种子回放和 `SessionStore.fork()` 继承、会话启动与生命周期所有者解除激活、活跃目标重新激活、FIFO 延迟变更协调、重入追加观察、注入拒绝回滚、损坏事件的稳定回放、服务与监听器销毁、监听器隔离、挂钟后退钳制、严格记录解码、生命周期连续性、来源与内容一致性,以及连续目标回合归属。无密钥 Loader/stdio 进程测试通过测试专用 `cordis.yml` 挂载服务与生命周期消费者,再从外部读取持久 JSONL,以验证模型可见快照以及不存在未经请求的目标回合。包源码受仓库逐文件 100% 覆盖率门禁约束。
## 考虑过的替代方案
- **把目标存入独立数据库或会话头**——不予采纳,因为会话日志已经提供顺序、持久化、fork 前缀与可重建性;第二份存储会引入原子性和谱系问题。
- **使用模型不可见的纯日志事件**——不予采纳,因为会改变后续模型行为的持久状态必须满足仓库日志不变量,保持模型可见且可重建。
- **持久化激活态并自动重启**——不予采纳,因为打开或恢复会话时必须等待人类输入;持久阶段记录状态,而不是再次消耗资源的授权。
- **把所有会话轮次都计为目标回合**——不予采纳,因为同一会话可以包含人类澄清、检查和无关工作;只有归属于目标的继续执行轮次才消耗该预算。
- **向 `dsh-agent-loop` 添加目标状态或通用循环抽象**——不予采纳,因为状态与继续执行策略可以通过现有插件、`Agent` 动词和事件组合,而无需赋予默认循环实现特权。
## 后果
- 目标历史作为普通会话数据,在持久化、恢复、无关节点压缩和会话 fork 后继续保留。
- 恢复与 fork 会暴露同一持久阶段,但在显式恢复变更激活目标前不会执行任何操作。
- 完整快照便于检查和严格回放,但在压缩隐藏它们之前,会在模型历史中重复目标描述与状态字段。
- 修订号与生命周期校验会尽早拒绝遭篡改、部分写入或生产者不一致的目标记录。
- 回合上限只约束继续执行次数;当回合、token、费用、时间或提供方限制停止工作时,策略消费者会把它们映射为不同的阻塞原因。
## 已知限制与延期工作
- 本领域记录状态,但不调度目标回合、不取消活跃轮次,也不分类异常停止。
- 记录 `complete` 或 `blocked` 的参与者具有最终权威;独立评估器或完成证书延期到策略消费者中实现。
- 每个会话只有一个当前目标;不存在并行目标图和跨会话目标存储。
- 插件共享同一个受信任的进程边界。直接写入会话的插件可以伪造目标记录;严格回放会检测不一致并在违规记录处使目标访问失败,但不会隔离插件或修复日志。
- `GOAL_CHANGE_VERSION` 在首次发布前不承诺兼容性,也不提供迁移路径。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-plugin-command-registration.md: bc3d33f9abf7cd87b78aac8f7d36ac9c021a7910
2026-07-19-plugin-command-registration.zh.md: 054ab3a90eeecc8c5ddc2ff072b53112fd8e7845

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# Agent Note: Plugin-owned human command registration
Status: implemented
English | [中文](2026-07-19-plugin-command-registration.zh.md)
## Problem
The TUI owns seven slash commands, while ACP defines a standard command catalog and invocation shape. Keeping command names, help text, autocomplete, dispatch, and cancellation inside each adapter makes every new command an adapter edit, prevents optional plugins from contributing commands, and lets the two front doors drift. Treating slash input as an ordinary model prompt is also unsafe: a user-visible direct action can unexpectedly consume tokens or let the model reinterpret an unknown command.
A shared mechanism must remain a UI concern rather than a model tool or agent-loop branch. It also needs exact per-agent visibility, HMR-safe removal, per-session ACP discovery, direct result rendering, and request-scoped cancellation without automatically adding command text or output to model history.
## Decision
`@deepseek-ai/dsh-commands` in `packages/ui/commands/` is the product command registry. The terminal and ACP app bundles mount it beside their consuming front door, and the SDK project helper emits the same service when scaffolding ACP directly; the executor-less, UI-less agent spine remains independent. TUI and ACP inject the service, while command producers depend only on the registry and any domain they operate.
### Registry contract
A `CommandDefinition` contains a lowercase name without `/`, a non-empty description, an optional unstructured-input hint, and an abortable handler. Registration validates and detaches the metadata, freezes the effective definition, and returns the exact Cordis effect disposer. Duplicate names fail within one layer. Every adapter consuming the registry sees every effective definition; a command plugin that cannot operate in a deployment omits its registration there instead of encoding adapter identities in the shared domain.
`list(agent)` returns immutable name-sorted descriptors after scoped shadowing. `find(agent, name)` resolves the effective definition. `execute(agent, line, signal)` parses and runs a known definition, returning a detached `success` or `error` result; invalid syntax and unknown names return `undefined` so the adapter owns its direct error text.
`parseCommand(line)` requires `/` at byte zero, a lowercase ASCII name containing letters, digits, `_`, or `-`, then whitespace or end-of-input. It preserves the complete adapter-delivered suffix as `rawInput`, including separator whitespace. Command-specific plugins own every further grammar decision.
### Scope and lifecycle
An unscoped registration is global. A command-injected plugin mounted beneath an agent context inherits that agent's scope key and lifetime, so its definition shadows a same-named global only for that exact agent. The child declares its own `commands` injection because `agent.ctx` intentionally inherits the core agent-loop dependency surface; adding a UI service to the loop merely to enable scoped registration would invert the dependency graph.
Registration and removal emit the unfiltered, non-vetoing `commands/change` registry notification. Adapters recompute each live agent's effective view rather than trying to infer which sessions a change affects. The registry contains and logs each observer failure independently, so a broken UI refresh cannot roll back another plugin's mutation or starve a later observer. Cordis ownership removes definitions when their producer, UI instance, or agent scope unloads, so HMR cannot leave stale discovery entries or handlers.
### Direct dispatch and cancellation
Commands run in a human-only command plane. The registry does not turn their input into `user/message`, their output does not become a session event, and neither is sent to the model implicitly. A handler receives the exact target agent, raw input, and request-owned `AbortSignal`; a producer may explicitly schedule separate model-visible work through that agent and then owns its logging and lifecycle contract. The registry stops awaiting an uncooperative handler when the signal aborts; the handler remains responsible for stopping external side effects already started.
Expected handler failures return `CommandResult.error`. Thrown or malformed results remain adapter-visible command failures, not model messages. This boundary deliberately separates UI output from durable domain mutation: a goal command may change `ctx.goals`, for example, but the goal service owns that persisted state.
### TUI mapping
The TUI registers `help`, `clear`, `cancel`, `reasoning`, `tools`, `redraw`, and `exit` as agent-scoped command definitions instead of switching on strings. Its autocomplete and help view read the live catalog, so plugin commands appear and disappear with their effects. Any submitted line beginning with `/` stays in the command plane; unknown input produces a terminal warning rather than falling through to `Agent.send()` or `Agent.steer()`.
Each submitted command owns an `AbortController`. TUI disposal aborts outstanding dispatches, removes the local definitions, and waits for the command-producing fiber before completing teardown.
### ACP mapping
The bridge follows the current [ACP v1 slash-command contract](https://agentclientprotocol.com/protocol/v1/slash-commands). `session/new` and `session/load` emit the exact agent's full `available_commands_update` snapshot; a new session's RPC response introduces its server-generated id before the snapshot is enqueued. Every registry change emits a replacement snapshot for each live session. Names, descriptions, and optional unstructured-input hints map directly to `AvailableCommand`.
ACP permits a command prompt to contain additional supported content blocks. The bridge applies its ordinary lossless `text` and `resource_link` flattening, then enters the command plane when the result starts with `/`. Unsupported prompt blocks are rejected by the existing capability boundary. Known commands execute directly; unknown or malformed slash input returns a direct error and never reaches the model. Successful text, expected errors, and thrown-failure diagnostics stream as live `agent_message_chunk` output and settle `end_turn`.
One model prompt or direct command may be in flight per ACP session, independently across sessions. `session/cancel` aborts the direct command when one owns the request; it calls `Agent.cancel()` only for an agent prompt, so cancelling a command cannot destroy unrelated queued or injected agent work. Connection teardown aborts commands and then disposes the owned agents.
## Testing
The registry suite covers syntax boundaries, immutable normalization, runtime metadata validation, deterministic sorting, global and scoped shadowing, duplicate rejection, exact disposal, contained change-notification failures, direct invocation, expected and malformed results, synchronous and asynchronous failure, and every abort timing edge at per-file 100% statement, branch, function, and line coverage.
TUI tests exercise all migrated built-ins, live plugin discovery, help/autocomplete refresh, direct results, unknown-command rejection, raw-input delivery, definition removal, startup rollback, and disposal cancellation. ACP tests use the real SDK connection, agent factory, loop, and JSONL persistence to verify create/load snapshots, dynamic updates, scoped multi-session catalogs, supported-block flattening, direct success/error/failure, unknown-command isolation, cancellation, and the absence of model requests or session messages. The SDK helper suite pins direct-ACP composition. Keyless ACP and terminal snapshots pin the new protocol and rendered transcript shapes.
## Alternatives considered
- **Keep adapter-local switches** — rejected because optional plugins cannot contribute discovery and behavior without editing every front door.
- **Represent human commands as model tools** — rejected because discovery and direct invocation are human UI behavior; routing through the model adds latency, token cost, and reinterpretation.
- **Put the registry in the core agent spine** — rejected because headless and JSON-RPC agents do not consume it, while the two UI app bundles can compose it explicitly.
- **Make `dsh-agent-loop` inject commands** — rejected because the loop does not execute or discover human commands. Agent-scoped producers declare the UI dependency in a child plugin instead.
- **Attach adapter masks to each definition** — rejected because support is a composition fact, not command-domain state. Every composed adapter exposes a registered command; an incompatible plugin omits registration in that deployment.
- **Send unknown slash input to the model** — rejected because typoed or unavailable direct actions must fail predictably rather than change execution planes.
- **Persist generic command input and output** — rejected because adapter notices are not model-visible state. A handler that changes durable behavior calls the owning domain API, which records its own events.
- **Restrict ACP commands to one text block** — rejected because ACP v1 permits accompanying content; the bridge already has a lossless accepted-block translation.
## Consequences
- Command producers are ordinary removable plugins, and TUI/ACP share one validated catalog and dispatch contract.
- Agent-specific definitions retain existing flat scope and shadow semantics without a core-to-UI dependency.
- Unknown slash input and command output are deterministic UI behavior with zero direct model tokens.
- ACP clients receive current per-session snapshots after creation, load, registration, and HMR removal.
- Direct command cancellation is isolated from model-turn cancellation.
## Known limitations and deferred work
- Input metadata is ACP's current unstructured text hint. Typed forms, argument schemas, and completion providers remain command-owned or require a later protocol extension.
- Generic command output is live-only and is not reconstructed after TUI restart or ACP reconnect.
- Registry cancellation stops awaiting immediately, but external work stops only when a handler cooperates with its signal.
- The headless CLI and JSON-RPC SDK front doors do not expose the command plane; only TUI and ACP consume it.

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# Agent Note: 插件拥有的人类命令注册
Status: implemented
[English](2026-07-19-plugin-command-registration.md) | 中文
## 问题
TUI 拥有七个斜杠命令,而 ACP 定义了标准命令目录与调用形态。如果命令名、帮助文本、自动补全、分派和取消都留在各适配器内部,每个新命令都需要修改适配器,可选插件无法贡献命令,两个前端也会逐渐偏离。把斜杠输入当作普通模型提示同样不安全:用户可见的直接操作可能意外消耗 token,或让模型重新解释未知命令。
共享机制必须仍是 UI 关注点,而不是模型工具或智能体循环分支。它还需要精确的逐智能体可见性、可安全 HMR 移除、逐会话 ACP 发现、直接结果渲染和请求作用域取消,同时不会自动把命令文本或输出加入模型历史。
## 决策
位于 `packages/ui/commands/` 的 `@deepseek-ai/dsh-commands` 是产品命令注册表。终端与 ACP 应用 bundle(组合包)把它挂载在消费该服务的前端旁,SDK 项目 helper(辅助器)在直接搭建 ACP 时也会生成同一服务;无执行器、无 UI 的智能体 spine(主干)保持独立。TUI 与 ACP 注入该服务,命令生产者只依赖注册表及其操作的领域。
### 注册表契约
`CommandDefinition` 包含不带 `/` 的小写名称、非空描述、可选的非结构化输入提示,以及可取消处理器。注册会校验并分离元数据、冻结有效定义,并返回准确的 Cordis effect disposer(副作用释放器)。同一层中的重复名称会失败。每个消费该注册表的适配器都能看到所有有效定义;若命令插件无法在某种部署中运行,它就不在该部署中注册,而不是把适配器身份编码进共享领域。
`list(agent)` 在作用域遮蔽后返回不可变、按名称排序的描述符。`find(agent, name)` 解析有效定义。`execute(agent, line, signal)` 解析并运行已知定义,返回分离后的 `success` 或 `error` 结果;无效语法和未知名称返回 `undefined`,由适配器拥有直接错误文本。
`parseCommand(line)` 要求 `/` 位于第零字节,后接由字母、数字、`_` 或 `-` 组成的小写 ASCII 名称,并以空白或输入末尾结束。它把适配器交付的完整后缀保留为 `rawInput`,包括分隔空白。每个命令插件自行拥有后续语法决策。
### 作用域与生命周期
无作用域注册是全局注册。挂载在智能体上下文之下并注入 `commands` 的插件会继承该智能体的作用域键与生命周期,因此其定义仅为该准确智能体遮蔽同名全局定义。子插件自行声明 `commands` 注入,因为 `agent.ctx` 有意只继承核心智能体循环的依赖界面;仅为了实现作用域注册而让循环依赖 UI 服务会倒置依赖图。
注册和移除会发出未过滤、不可否决的 `commands/change` 注册表通知。适配器重新计算每个实时智能体的有效视图,而不尝试推断某次变更影响哪些会话。注册表会分别隔离并记录每个观察者失败,因此损坏的 UI 刷新无法回滚另一插件的变更,也无法阻止后续观察者。Cordis 所有权会在生产者、UI 实例或智能体作用域卸载时移除定义,因此 HMR 不会留下陈旧的发现项或处理器。
### 直接分派与取消
命令在仅面向人类的命令平面中运行。注册表不会把输入转成 `user/message`,输出不会成为会话事件,两者都不会隐式发送给模型。处理器接收准确的目标智能体、原始输入和请求拥有的 `AbortSignal`;生产者可以通过该智能体显式调度单独的模型可见工作,随后由生产者负责其日志记录和生命周期契约。信号中止时,注册表不再等待不合作的处理器;处理器仍负责停止已经启动的外部副作用。
预期的处理器失败返回 `CommandResult.error`。抛出的异常或格式错误的结果仍是适配器可见的命令失败,而不是模型消息。该边界有意分离 UI 输出与持久领域变更:例如目标命令可以改变 `ctx.goals`,但持久状态由目标服务拥有。
### TUI 映射
TUI 把 `help`、`clear`、`cancel`、`reasoning`、`tools`、`redraw` 和 `exit` 注册为智能体作用域命令定义,不再对字符串执行 switch。自动补全与帮助视图读取实时目录,因此插件命令会随其副作用出现和消失。任何以 `/` 开头的提交行都留在命令平面;未知输入产生终端警告,不会落入 `Agent.send()` 或 `Agent.steer()`。
每个提交的命令拥有一个 `AbortController`。TUI 释放会中止未完成的分派、移除本地定义,并等待命令生产者 fiber(纤程)后再完成清理。
### ACP 映射
桥接遵循当前的 [ACP v1 斜杠命令契约](https://agentclientprotocol.com/protocol/v1/slash-commands)。`session/new` 与 `session/load` 发出准确智能体的完整 `available_commands_update` 快照;新会话的 RPC 响应会先引入服务端生成的 id,随后快照才会入队。每次注册表变更都会为每个实时会话发出替换快照。名称、描述和可选非结构化输入提示直接映射到 `AvailableCommand`。
ACP 允许命令提示携带额外的受支持内容块。桥接应用普通的无损 `text` 与 `resource_link` 扁平化,然后在结果以 `/` 开头时进入命令平面。不支持的提示块由现有能力边界拒绝。已知命令直接执行;未知或格式错误的斜杠输入返回直接错误,绝不会到达模型。成功文本、预期错误和抛出失败的诊断作为实时 `agent_message_chunk` 输出流式发送,并以 `end_turn` 结束请求。
每个 ACP 会话同时只能有一个模型提示或直接命令进行中,各会话彼此独立。当直接命令拥有请求时,`session/cancel` 会中止它;只有智能体提示才调用 `Agent.cancel()`,因此取消命令不会销毁无关的排队或注入智能体工作。连接清理会先中止命令,再释放所拥有的智能体。
## 测试
注册表测试覆盖语法边界、不可变规范化、运行时元数据校验、确定性排序、全局与作用域遮蔽、重复拒绝、准确释放、变更通知失败隔离、直接调用、预期和格式错误结果、同步与异步失败,以及每种中止时序边沿;该源文件达到逐文件 100% 语句、分支、函数和行覆盖率。
TUI 测试覆盖全部迁移后的内置命令、实时插件发现、帮助与自动补全刷新、直接结果、未知命令拒绝、原始输入交付、定义移除、启动回滚和释放取消。ACP 测试使用真实 SDK 连接、智能体工厂、循环与 JSONL 持久化,验证创建/加载快照、动态更新、作用域多会话目录、受支持块扁平化、直接成功/错误/失败、未知命令隔离、取消,以及不存在模型请求或会话消息。SDK helper 测试固定直接 ACP 组合。无密钥 ACP 与终端快照固定新的协议和渲染记录形态。
## 考虑过的替代方案
- **保留适配器本地 switch**——不予采纳,因为可选插件无法贡献发现与行为,除非修改每个前端。
- **把人类命令表示为模型工具**——不予采纳,因为发现与直接调用属于人类 UI 行为;经由模型路由会增加延迟、token 成本和重新解释。
- **把注册表放入核心智能体主干**——不予采纳,因为无头和 JSON-RPC 智能体不消费它,而两个 UI 应用组合包可以显式组合它。
- **让 `dsh-agent-loop` 注入 commands**——不予采纳,因为循环不执行也不发现人类命令。智能体作用域生产者改为在子插件中声明 UI 依赖。
- **为每个定义附加适配器掩码**——不予采纳,因为支持能力是组合事实,而不是命令领域状态。每个已组合适配器都暴露已注册命令;不兼容插件不会在该部署中注册。
- **把未知斜杠输入发送给模型**——不予采纳,因为输入错误或不可用的直接操作必须可预测地失败,而不能改变执行平面。
- **持久化通用命令输入与输出**——不予采纳,因为适配器提示不是模型可见状态。改变持久行为的处理器会调用拥有该状态的领域 API,由后者记录自己的事件。
- **把 ACP 命令限制为单个文本块**——不予采纳,因为 ACP v1 允许附带内容,而桥接已有无损的已接纳块转换。
## 后果
- 命令生产者是普通的可移除插件,TUI 与 ACP 共享一个经过校验的目录和分派契约。
- 智能体特定定义保留现有扁平作用域与遮蔽语义,不引入核心到 UI 的依赖。
- 未知斜杠输入与命令输出是确定性 UI 行为,直接模型 token 成本为零。
- ACP 客户端在创建、加载、注册和 HMR 移除后收到当前的逐会话快照。
- 直接命令取消与模型轮次取消彼此隔离。
## 已知限制与延期工作
- 输入元数据仅为 ACP 当前的非结构化文本提示。类型化表单、参数模式和补全提供器仍由命令拥有,或需要后续协议扩展。
- 通用命令输出仅实时存在,TUI 重启或 ACP 重新连接后不会重建。
- 注册表取消会立即停止等待,但外部工作只有在处理器配合信号时才会停止。
- 无头 CLI 与 JSON-RPC SDK 前端不暴露命令平面;只有 TUI 和 ACP 消费它。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-same-session-goal-round-driver.md: 34d59456b5a8b54c92aba581da0ff22ea045b626
2026-07-19-same-session-goal-round-driver.zh.md: dc2afd1ce18a45964bc1db04121211a9958445f3

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# Agent Note: Same-session goal-round driver
Status: implemented
English | [中文](2026-07-19-same-session-goal-round-driver.zh.md)
## Problem
The goal domain can retain an objective and the model-facing tools can mutate its lifecycle, but neither should decide when another model turn begins. A continuation driver must bridge active goal state to the ordinary agent loop without adding goal-specific branches to `dsh-agent-loop`, inventing a second conversation, or treating every human turn as an autonomous iteration.
That bridge has concurrency and durability obligations. Human input, cancellation, a goal edit, persistence failure, session restart, plugin unload, and a downstream prompt policy can all race a pending continuation. A naive `goal/changed -> agent.send()` listener can admit obsolete work, run alongside a human prompt, spend beyond the cap, or restart from replay without new authority.
## Decision
`@deepseek-ai/dsh-goal-session` in `packages/goal/goal-session/` is a policy plugin over `ctx.goals`, the public `Agent` interface, and durable session events. It imports no concrete agent-loop implementation. For each exact live `Agent`, it owns process-local scheduling state and may reserve at most one automatic round.
The hierarchy is Goal → Goal Round → Turn → Step. A goal round is the outer continuation policy iteration; it becomes one goal-sourced session turn, and that turn can contain any number of ordinary model/tool steps. Human turns in the same session are not goal rounds and never increment `roundsStarted`.
The plugin has no configuration. `maxGoalRounds` is resolved and persisted by `dsh-goal`, and the same-condition blocking threshold is resolved and prompted by `dsh-tool-goal`. Repeating those tunables in the driver would create multiple owners for one policy.
### Reservation and admission
When an agent is idle, has no competing queued work, and its current goal is `active` plus `armed`, the driver checkpoints pending goal mutations and rechecks every predicate after the await. If `roundsStarted` already equals `maxGoalRounds`, it records `blocked` with code `round-limit`. Otherwise it reserves the exact identity `{ goalId, revision, round: roundsStarted + 1 }` and the complete rendered prompt before calling `Agent.send()` with `GoalMessageSource`. The prompt JSON-quotes the objective so multiline or tag-like text remains an unambiguous data value inside the familiar frame.
The `agent/prompt-submit` waterfall is the admission fence. A positive goal source is allowed only when it exactly matches the driver's pending identity and content, the live goal still has that id and revision, activation remains armed, and the round is still the next number. The plugin checks once before delegating and again after downstream hooks return. This second check prevents an async hook from editing or pausing the goal while still admitting the old prompt.
Only the resulting `user/message` is an admitted round and advances the goal fold. A stale reservation becomes a durable `prompt/blocked` plus zero-step rejected turn, but the driver marks it stale and does not charge the round. A downstream policy rejection that is not caused by staleness blocks the goal rather than retrying around policy.
### Human work and revision races
`agent/queued` distinguishes the driver's complete accepted record from every other prompt. Ordinary work already queued before a reservation prevents scheduling. Ordinary work queued while an automatic prompt is pending makes that reservation stale, so a mixed batch admits the human prompt but rejects the automatic one. Ordinary work arriving after the goal round was admitted remains queued for its own next turn; continuation is reconsidered only when the agent later becomes idle.
A goal mutation during a round advances its durable revision. Settlement of the older revision cannot overwrite that mutation. The driver discards the old attempt outcome, reads the new projection, and continues only if the new revision is still active and armed. This makes model-recorded completion, pause, block, and edit authoritative over the physical turn's later close reason.
### Settlement
The driver classifies one closed goal-owned turn as follows:
| Turn result | Action |
|---|---|
| durable `completed` | continue while active/armed and under cap |
| cancellation of a reserved/admitted goal round, or its `aborted` result | pause and disarm |
| `error` with code `RATE_LIMIT` or `QUOTA` | block with code `usage-limited` |
| other `error` | block with code `turn-error` |
| `max-tokens` | block with code `max-tokens` |
| non-stale `rejected` | block with code `prompt-rejected` |
| failed durability checkpoint | disarm without changing durable phase |
| `disposed` or `interrupted` | disarm |
| plugin-added unknown result | block for inspection |
No abnormal outcome requests an automatic retry. A later human prompt can ask to continue in any language; the model reads the stopped goal and uses the goal tool's resume action, which records a new revision and arms continuation.
### Durability and cancellation seam
Every `goal/changed` notification creates a checkpoint obligation. The driver awaits `ctx.sessions.flush(session)` before reserving work, then checks for a newer mutation, agent lifecycle change, or competing prompt. Turn-end flush failure is reported by the existing `agent/error` notification after `turn/end`; the driver finds that exact closed turn even when a concurrent one-shot injection appended a later turn, associates the failure with the exact attempt, and disarms before the next idle decision.
Broad cancellation previously exposed only its effects after queues were cleared or the request aborted. The public agent vocabulary now includes observe-only `agent/cancel-requested(agent, reason)`. The concrete loop emits it for effective cancellation before either action; fused notification containment means a broken listener cannot veto cancellation. The goal driver uses this edge to clear its reservation before the loop destroys the queued-work evidence. When that reservation is a queued or admitted goal attempt, cancellation durably pauses the goal; when cancellation belongs to unrelated human work with no goal attempt, it only removes process-local activation. If the pause mutation throws, the driver falls back to disarming rather than allowing cancelled automatic work to restart.
This is a coordination notification, not a second stop API. `Agent.cancel()` remains the only public broad cancellation verb, idle calls remain no-ops, and custom `Agent` implementations that claim the interface must honor the event ordering if consumers depend on it.
### Process lifecycle
`GoalService.disarm(agent)` removes only process-local activation. It writes no session event, changes no revision, and emits no goal mutation. The driver calls it while loading over existing agents, on durability uncertainty, and before teardown; a later `resume` is the durable activation edge visible to the model.
The driver's event listeners and quiescent close are nested in one ordered Cordis effect. Cordis unloads sibling effects concurrently, so separate listener and cleanup registrations could remove the prompt fence while an async disposer was still draining. The composite effect first closes admission, disarms goals, cancels an admitted attempt, and awaits both agent and driver quiescence; only then does it unregister its listeners.
An inbox acceptance can win the microtask race immediately before plugin unload begins. In that case the turn and even its first request may start and the round remains durably charged; once unload starts, cancellation aborts it, no following round is scheduled, and the goal remains active but disarmed. Pretending that already-observed admission never happened would corrupt replay accounting.
## Testing
The unit suite uses the real agent loop and session service with only the model scripted. It covers exact sequential admission and cap enforcement, load/resume inertness, every outcome classification, rate limiting, request errors, max tokens, downstream prompt veto, pre-admission and in-flight cancellation, unrelated-human cancellation, failed-pause fallback, human-input ordering, queued and downstream revision races, forged goal attribution, failed mutation and turn checkpoints including a later one-shot injection, scheduler and custom-agent failures, session-start reset, exact lifecycle retirement, and queued/running plugin teardown. The new driver source has per-file 100% statement, branch, function, and line coverage.
A keyless ACP snapshot mounts the shipped editor app with the real goal domain, goal tools, goal driver, agent loop, persistence, and replay adapter through `cordis.yml`. One human turn creates and inspects a two-round goal, the first automatic turn stops normally, and ACP cancellation of a deliberately stalled second round records a durable pause. The normalized wire transcript and external JSONL assertions prove one session, round sources `1, 2`, the lifecycle mutation, and exact replay accounting without using `echo-agent` as an application surrogate.
The core cancellation test proves notification order and containment: observers run only for effective cancellation, can queue replacement work before the inbox clear, cannot veto later observers by throwing, and an idle call emits nothing.
## Alternatives considered
- **Add a goal loop inside `dsh-agent-loop`** — rejected because the public queue, prompt, session, cancellation, and status seams are sufficient, and a concrete-loop branch would privilege one policy.
- **Use `agent/turn-continuation` to make every round another step** — rejected because a goal round is an outer policy iteration and must have its own durable user prompt, turn boundary, round count, and failure settlement.
- **Persist a pending reservation** — rejected because a crash cannot prove that queued process memory had reached admission; only the durable `user/message` consumes the round.
- **Retry provider or persistence errors automatically** — rejected because retry policy spends resources and needs explicit authority; stopped phases plus later human resume are simpler and observable.
- **Fork conversation history or spawn a fresh agent for every round** — rejected for this package because the goal is explicitly same-session work. Fresh-agent Ralph execution remains a separate workflow plugin built from subagent and workflow primitives.
- **Reuse every session turn as the round counter** — rejected because human clarification and unrelated work share the session but not the automatic-work budget.
## Consequences
- Goal continuation remains a removable plugin and the concrete loop gains only a generic observe-before-cancel notification.
- Replay can reconstruct every admitted round from its exact goal source and prompt; rejected reservations cannot create phantom budget use.
- Human messages and lifecycle mutations win documented races without corrupting the revision or counter.
- Resume and fork remain inert until semantic human intent causes the model to record a resume mutation.
- Conservative failure mapping can require manual continuation after transient failures, but it never hides an automatic retry.
## Known limitations and deferred work
- Completion evidence and semantic blocker equivalence remain model judgments. An independent evaluator, completion certificate, or verifier-driven stop policy is deferred to a separate policy plugin.
- This package does not provide Ralph-style fresh-agent attempts, context reset, cross-round evaluator feedback, or workflow-level parallelism; those belong to the separate Ralph workflow tool.
- Cordis unload begins asynchronously. An already accepted inbox item may enter one charged round and start one request before teardown cancellation takes effect; the closing drain prevents every subsequent round.
- `maxGoalRounds` is only an admitted-round limit. Token, currency, wall-clock, and provider-usage budgets require independent policy.
- A custom `Agent` implementation must produce the documented session events, status edges, cancel notification, and quiescence semantics; structural TypeScript compatibility alone cannot verify runtime ordering.

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# Agent Note: 同会话目标回合驱动器
Status: implemented
[English](2026-07-19-same-session-goal-round-driver.md) | 中文
## 问题
目标领域可以保留目标,模型可见工具也可以变更其生命周期,但两者都不应决定下一个模型轮次何时开始。继续执行驱动器必须把活跃目标状态连接到普通 agent(智能体)循环,同时不能向 `dsh-agent-loop` 添加目标专用分支、创建第二段对话,也不能把每个人类轮次都视为自主迭代。
这层连接还承担并发与持久性义务。人类输入、取消、目标编辑、持久化失败、会话重启、插件卸载以及下游提示词策略都可能与待处理的继续执行发生竞争。简单的 `goal/changed -> agent.send()` 监听器可能接纳过期工作、与人类提示词同时运行、超出上限消耗资源,或在回放后未经新授权自行重启。
## 决策
位于 `packages/goal/goal-session/` 的 `@deepseek-ai/dsh-goal-session` 是构建在 `ctx.goals`、公共 `Agent` 接口和持久会话事件之上的策略插件。它不导入具体 agent-loop 实现。对于每个完全相同的实时 `Agent`,它维护进程内调度状态,并且最多保留一个自动回合预留。
层次关系为目标(Goal)→ 目标回合(Goal Round)→ 轮次(Turn)→ 步骤(Step)。目标回合是外层继续执行策略的一次迭代;它会成为一个归属于目标的会话轮次,而该轮次可以包含任意数量的普通模型或工具步骤。同一会话中的人类轮次不是目标回合,也绝不会增加 `roundsStarted`。
该插件没有配置项。`maxGoalRounds` 由 `dsh-goal` 解析并持久化;“相同阻塞条件”的门槛由 `dsh-tool-goal` 解析并写入提示词。若驱动器重复声明这些可调值,一个策略就会出现多个所有者。
### 预留与接纳
当 agent 空闲、没有竞争中的排队工作,且当前目标为 `active` 加 `armed` 时,驱动器会先检查点持久化待处理的目标变更,并在等待之后重新校验所有条件。若 `roundsStarted` 已等于 `maxGoalRounds`,它会记录代码为 `round-limit` 的 `blocked`;否则,它会先预留精确身份 `{ goalId, revision, round: roundsStarted + 1 }` 和完整渲染提示词,再以 `GoalMessageSource` 调用 `Agent.send()`。提示词用 JSON 引号编码目标描述,使多行或类似标签的文本在熟悉框架中仍是无歧义的数据值。
`agent/prompt-submit` 瀑布是接纳栅栏。正数目标来源只有在完全匹配驱动器待处理的身份和内容、实时目标仍具有相同 id 与修订号、激活态仍为 armed,并且该回合仍是下一个编号时才会获准。插件在委托下游监听器前检查一次,在下游返回后再检查一次。第二次检查防止异步钩子编辑或暂停目标后,旧提示词仍被接纳。
只有最终产生的 `user/message` 才是已接纳目标回合,并推进目标折叠。过期预留会生成持久的 `prompt/blocked` 和零步骤 rejected 轮次,但驱动器会把它标记为过期,不消耗回合数。若下游策略拒绝并非由过期导致,目标会进入 blocked,而不会绕过该策略自动重试。
### 人类工作与修订竞争
`agent/queued` 会区分驱动器自己的完整已接受记录与其他所有提示词。预留之前已经排队的普通工作会阻止调度;自动提示词待处理时进入的普通工作会使该预留过期,因此混合批次只接纳人类提示词而拒绝自动提示词。目标回合已经接纳后到达的普通工作会保留在队列中,成为下一个独立轮次;只有 agent 再次空闲后才重新考虑继续执行。
目标在回合内发生变更时会推进持久修订号。旧修订的结算不得覆盖该变更。驱动器会丢弃旧尝试的结果、读取新投影,并且只在新修订仍为 active 与 armed 时继续。因此,模型记录的完成、暂停、阻塞和编辑相对于物理轮次稍后的关闭原因具有最终权威。
### 结算
驱动器按下表分类一个已经关闭、归属于目标的轮次:
| 轮次结果 | 动作 |
|---|---|
| 持久的 `completed` | 目标仍 active/armed 且未到上限时继续 |
| 取消已预留/接纳的目标回合,或该回合产生 `aborted` 结果 | 暂停并解除激活 |
| 代码为 `RATE_LIMIT` 或 `QUOTA` 的 `error` | 以 `usage-limited` 代码阻塞 |
| 其他 `error` | 以 `turn-error` 代码阻塞 |
| `max-tokens` | 以 `max-tokens` 代码阻塞 |
| 非过期的 `rejected` | 以 `prompt-rejected` 代码阻塞 |
| 持久检查点失败 | 解除激活,但不改变持久阶段 |
| `disposed` 或 `interrupted` | 解除激活 |
| 插件新增的未知结果 | 阻塞并等待检查 |
异常结果都不会请求自动重试。之后的人类提示词可以用任何语言要求继续;模型读取已停止目标并调用目标工具的 resume 动作,记录新修订并重新激活继续执行。
### 持久性与取消接缝
每次 `goal/changed` 通知都会产生一个检查点义务。驱动器在预留工作前等待 `ctx.sessions.flush(session)`,随后检查是否出现了更新的变更、agent 生命周期变化或竞争提示词。轮次结束时的 flush 失败会在 `turn/end` 之后通过现有 `agent/error` 通知报告;即使并发的一次性注入已追加后续轮次,驱动器仍会找到该精确的已关闭轮次,把失败关联到精确尝试,并在下一次空闲决策前解除激活。
广义取消此前只在队列已清除或请求已中止后暴露结果。公共 agent 词汇现在新增只观察的 `agent/cancel-requested(agent, reason)`。具体循环仅在取消有效时发出该事件,并且发生在清除队列和中止步骤之前;融合通知会隔离失败,因此损坏的监听器不能否决取消。目标驱动器利用该边沿在循环销毁排队工作证据前清除预留。若该预留是排队中或已接纳的目标尝试,取消会持久暂停目标;若取消属于没有目标尝试的无关人类工作,则只移除进程内激活态。若暂停变更抛错,驱动器会回退到解除激活,避免已取消的自动工作重新启动。
该通知是协调事件,不是第二个停止 API。`Agent.cancel()` 仍是唯一的公共广义取消动词,空闲调用仍是无操作;若消费者依赖此接缝,自定义 `Agent` 实现就必须满足该事件顺序。
### 进程生命周期
`GoalService.disarm(agent)` 只移除进程内激活态。它不写会话事件、不改变修订号,也不发出目标变更。驱动器在加载到已有 agent、持久性存在不确定性以及卸载前调用该方法;之后的 `resume` 才是模型可见的持久激活边沿。
驱动器的事件监听器和静止关闭嵌套在同一个有序 Cordis effect 中。Cordis 会并发卸载同级 effect;若监听器和清理分别注册,异步 disposer 仍在排空时提示词栅栏就可能已被移除。组合 effect 会先关闭接纳、解除目标激活、取消已接纳尝试,并等待 agent 与驱动器都达到静止;之后才注销监听器。
紧邻插件开始卸载前,收件箱接纳可能赢得微任务竞争。在这种情况下,轮次甚至首个请求都可能已经开始,且该回合仍会持久计费;卸载一旦开始,取消就会中止它,不会再调度后续回合,目标保持 active 但 disarmed。若假装已经观测到的接纳从未发生,就会破坏回放计数。
## 测试
单元测试使用真实 agent loop 与会话服务,只对模型编写脚本。覆盖内容包括精确连续接纳和上限执行、加载与恢复的惰性、所有结果分类、限流、请求错误、最大 token、下游提示词否决、接纳前与执行中取消、无关人类工作取消、暂停失败回退、人类输入排序、排队时与下游修订竞争、伪造目标来源、变更与轮次检查点失败(包括后续一次性注入)、调度器与自定义 agent 失败、会话启动重置、精确生命周期退出,以及排队中和运行中的插件卸载。新驱动器源码达到逐文件 100% 语句、分支、函数和行覆盖率。
无密钥 ACP 快照通过 `cordis.yml` 挂载已发布的编辑器应用,以及真实目标领域、目标工具、目标驱动器、agent loop、持久化和回放适配器。一个人类轮次创建并检查一个两回合目标;第一个自动轮次正常停止,ACP 随后取消刻意停滞的第二个回合并记录持久暂停。规范化线协议和外部 JSONL 断言证明只有一个会话、回合来源依次为 `1, 2`、生命周期变更与回放计数精确,并且没有把 `echo-agent` 当作应用替身。
核心取消测试固定通知顺序与隔离:只有有效取消才会通知;观察者可以在清空收件箱前排入替代工作;抛错不能阻止后续观察者;空闲调用不会发出事件。
## 考虑过的替代方案
- **在 `dsh-agent-loop` 内添加目标循环**——不予采纳,因为公共队列、提示词、会话、取消和状态接缝已经足够,具体循环分支还会赋予某种策略特权。
- **使用 `agent/turn-continuation` 把每个回合变成另一个步骤**——不予采纳,因为目标回合是外层策略迭代,必须拥有自己的持久用户提示词、轮次边界、回合计数和失败结算。
- **持久化待处理预留**——不予采纳,因为崩溃无法证明进程内队列已经达到接纳点;只有持久 `user/message` 才消耗回合。
- **自动重试提供方或持久化错误**——不予采纳,因为重试会消耗资源,需要显式授权;停止阶段加之后的人类恢复更简单,也可观察。
- **每回合 fork 对话历史或生成新 agent**——本包不采用,因为此目标明确属于同会话工作。新 agent 的 Ralph 执行仍是基于 subagent 与 workflow 原语的独立工作流插件。
- **把每个会话轮次当作回合计数**——不予采纳,因为人类澄清和无关工作共享会话,但不共享自动工作预算。
## 后果
- 目标继续执行仍是可移除插件,具体循环只新增一个通用的“取消前观察”通知。
- 回放可以从精确目标来源和提示词重建每个已接纳回合;被拒绝的预留不会产生虚假的预算消耗。
- 人类消息和生命周期变更可以在有文档约束的竞争中胜出,而不破坏修订号或计数器。
- 恢复和 fork 在语义上的人类意图促使模型记录 resume 变更之前始终保持惰性。
- 保守的失败映射可能要求在暂时性错误后手动继续,但绝不会隐藏自动重试。
## 已知限制与延期工作
- 完成证据和阻塞条件的语义等价性仍由模型判断。独立评估器、完成证书或由验证器驱动的停止策略延期到独立策略插件。
- 本包不提供 Ralph 风格的新 agent 尝试、上下文重置、跨回合评估反馈或工作流级并行;它们属于独立的 Ralph 工作流工具。
- Cordis 卸载异步开始。已经被收件箱接受的条目可能先进入一个计费回合并启动一个请求,之后卸载取消才生效;关闭排空会阻止所有后续回合。
- `maxGoalRounds` 只是已接纳回合上限。token、费用、挂钟时间和提供方使用预算需要独立策略。
- 自定义 `Agent` 实现必须产生文档规定的会话事件、状态边沿、取消通知和静止语义;仅凭 TypeScript 结构兼容无法验证运行时顺序。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-20-dsh-cli-personal-config.md: e349374a6bc7fc0137bf14836469aef8bae8d49d
2026-07-20-dsh-cli-personal-config.zh.md: 88210dc386a245002de927950dab2852e40218ea

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# Agent Note: The dsh CLI and personal config overlays from the Harness home
Status: implemented
English | [中文](2026-07-20-dsh-cli-personal-config.zh.md)
## Problem
A developer's own preferences — which provider and model the TUI uses, personal credentials, a private adapter route — had nowhere to live except edits to committed files. Pointing the TUI demo at a personal Anthropic-proxy Opus route meant patching `examples/tui-agent/cordis.yml` and `.env` in the working tree, which risks committing secrets and repeats per checkout. There was also no installable command: running the agent in an arbitrary project directory required invoking the repo's demo script from the repo root. Loader metadata is static, so "conditional composition uses overlays" (AGENTS.md) — but overlays only existed as committed sibling files, not as a machine-level layer.
## Decision
Two coupled pieces, aligned with the `apps/` assembly tier proposed by the `dsh web` PR (#443):
**The `dsh` CLI (`apps/cli`, npm name `@deepseek-ai/dsh`).** `apps/*` joins the workspaces as the product-assembly tier over `packages/*` libraries. The bin's dispatch reserves `web` and `-p`/`--prompt` for PR #443 (they exit with a pointer) so the two branches merge as a near-union; everything else runs the default surface: the interactive TUI, booting the shipped `examples/tui-agent/cordis.yml` (or an explicit config argument) with the invoking directory as the workspace. The committed `bin/dsh` launcher resolves the checkout through its own real path and runs the bin **from source** via the repo's tsx (with `--expose-internals` for the config's HMR entry), so `ln -sf "$(pwd)/bin/dsh" ~/.local/bin/dsh` installs a command that always executes the current working tree. `pnpm run demo:tui` runs the same entry.
**Personal config (`dsh-app-boot`).** The personal overlay lives in the Harness home — `$DSH_HOME`, else `~/.dsh` — resolved by the shared [`resolveDshHome`](../architecture/2026-07-24-single-harness-home-resolver.md) (`@deepseek-ai/dsh-paths`), the same single root skills and AGENTS.md resolve against. The dsh TUI surface consumes its two optional files; the demo bins boot their committed trees verbatim:
- `.env` — loaded after the invoking directory's `.env`; `process.loadEnvFile` never overrides, so precedence is ambient > project `.env` > personal `.env`.
- `config.yaml` — a top-level YAML array of `@cordisjs/plugin-include` `PatchOptions`, parsed with the include's own `!!js` dialect (`loadPersonalPatches`) and passed to `boot()`, which forwards it as the root include's `patches`. Patch semantics are exactly the committed overlay semantics (the Code Mode overlay is the template): an id-targeted patch replaces the named entry's whole `config`, `insert` appends entries, an unmatched id warns and is skipped.
- A missing file means no overlay; a present-but-unreadable, unparsable, or non-array file throws at boot (misconfiguration fails loud, never a silent skip).
The PTY smoke's launcher isolates `$DSH_HOME` to a per-test directory, exactly as it already isolates `DSH_AGENTS_HOME`, so a developer's real personal overlay cannot leak into fixtures; only the dsh CLI reads personal config, so no other test launcher needed changes.
## Alternatives considered
**A standalone `bin/dsh` wrapper owning the `dsh` name.** Rejected after reading PR #443: that PR establishes `apps/cli` as the `dsh` CLI with subcommand dispatch (`web`, `-p`) and leaves the default slot unclaimed. Two competing `dsh` entrypoints would collide in `$PATH` and in product identity; claiming the default slot inside the same package shape confines the eventual merge conflict to the small dispatch chain.
**A pi-style typed settings file (`defaultProvider`/`defaultModel`/`providers`).** Rejected by the user in favor of patch semantics: the personal file is a cordis overlay over the shipped default config, not a second config vocabulary to own and translate.
**A personal full `cordis.yml` that includes the requested config.** Rejected: the personal file would have to name the leaf config's path, which varies per checkout; patches invert the dependency so the bin keeps choosing the tree and the personal layer only amends it.
**Deep-merging personal patches into entry configs.** Rejected: it would fork the patch semantics from the committed overlays and the vendored include; whole-config replacement is already the documented contract.
**Opt-in via env flag instead of presence.** Rejected: personal config that is off by default never gets used; presence plus explicit per-test isolation gives live runs the overlay and tests hermeticity.
## Consequences
- `dsh` from any directory (and `pnpm run demo:tui`) boots the personal provider/model with zero repo changes; verified end-to-end against a personal Anthropic proxy with Opus 4.8, including a bash tool round trip.
- Because an id-targeted patch replaces the whole `config`, a personal override restates the base fields it keeps and can drift when the base entry changes shape; the loader's entry-not-found/name-mismatch warnings are the only diagnostics.
- Personal patches resolve ids against the booted file's own tree, so nested-include overlays (Code Mode) are not personalized; live-run parity for those leaves is deferred.
- `dsh-app-boot` depends on `js-yaml` (plus a load-only copy of the include's `!!js` YAML type) and, like `apps/cli`, on `@deepseek-ai/dsh-paths` for `resolveDshHome`.
- When PR #443 lands, `apps/cli/src/bin.ts`'s dispatch chain and `apps/cli/package.json`'s dependency list conflict textually; both resolve as unions (their `web`/`-p` branches plus our default-TUI branch).
## Testing
`packages/ui/app-boot/tests/personal-config.spec.ts` pins `!!js` preservation and end-to-end interpolation through a booted tree, insert entries, the default directory resolving from `$DSH_HOME`, the absent/empty no-op paths, and the three fail-loud shapes (unreadable, unparsable, non-array). `examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` boots the dsh bin in a PTY three ways: default config with no overlay, a personal `.env` + `config.yaml` chain whose patched welcome renders in the banner, and an invalid personal file failing the boot loudly. The pre-existing smokes and snapshot suites pass on a machine whose real `~/.dsh` overlay would change the booted model — the isolation, not luck.

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# Agent Note: dsh CLI 与来自 Harness home 的个人配置 overlay
Status: implemented
[English](2026-07-20-dsh-cli-personal-config.md) | 中文
## Problem
开发者自己的偏好——TUI 使用哪个提供方和模型、个人凭证、私有的适配器路由——除了改动已提交的文件之外无处安放。要把 TUI 示例指向个人的 Anthropic 代理 Opus 路由,只能在工作区里改 `examples/tui-agent/cordis.yml` 和 `.env`,既有提交密钥的风险,又要在每个 checkout 里重复一遍。也没有可安装的命令:想在任意项目目录里运行这个 agent,必须回到仓库根目录调用示例脚本。Loader 元数据是静态的,所以「条件组合使用 overlay」(AGENTS.md)——但 overlay 此前只以已提交的同级文件形式存在,没有机器级的层。
## Decision
两个耦合的部分,与 `dsh web` PR(#443)提出的 `apps/` 装配层对齐:
**`dsh` CLI(`apps/cli`,npm 名 `@deepseek-ai/dsh`)。** `apps/*` 作为 `packages/*` 库之上的产品装配层加入 workspaces。bin 的分发把 `web` 和 `-p`/`--prompt` 保留给 PR #443(它们以指引退出),使两个分支能以接近并集的方式合并;其余一切都运行默认表面:交互式 TUI,加载随仓库提供的 `examples/tui-agent/cordis.yml`(或显式的配置参数),并以调用目录为工作区。已提交的 `bin/dsh` 启动器通过自身真实路径解析 checkout,用仓库的 tsx **从源码**运行该 bin(带 `--expose-internals`,供配置里的 HMR 配置项使用),因此 `ln -sf "$(pwd)/bin/dsh" ~/.local/bin/dsh` 安装的命令永远执行当前工作树。`pnpm run demo:tui` 运行同一入口。
**个人配置(`dsh-app-boot`)。** 个人 overlay 存放在 Harness home——`$DSH_HOME`,否则 `~/.dsh`——由共享的 [`resolveDshHome`](../architecture/2026-07-24-single-harness-home-resolver.md)(`@deepseek-ai/dsh-paths`)解析,与 skills、AGENTS.md 解析所依据的单一根目录相同。dsh 的 TUI 表面消费其中两个可选文件;各示例 bin 仍然逐字节按已提交的配置树启动:
- `.env`——在调用目录的 `.env` 之后加载;`process.loadEnvFile` 从不覆盖已有值,因此优先级为环境变量 > 项目 `.env` > 个人 `.env`。
- `config.yaml`——顶层 YAML 数组,元素为 `@cordisjs/plugin-include` 的 `PatchOptions`,用 include 自己的 `!!js` 方言解析(`loadPersonalPatches`)并传给 `boot()`,由它作为根 include 的 `patches` 转发。补丁语义与已提交 overlay 完全一致(Code Mode overlay 是模板):按 id 定位的补丁替换该配置项的整个 `config`,`insert` 追加配置项,未匹配的 id 记录警告并跳过。
- 文件缺失即无 overlay;文件存在但不可读、不可解析或非数组则在启动时抛出(配置错误响亮失败,绝不静默跳过)。
PTY 冒烟测试的启动器把 `$DSH_HOME` 隔离到每个测试自己的目录,与它已有的 `DSH_AGENTS_HOME` 隔离方式完全一致,开发者真实的个人 overlay 不可能泄漏进 fixture;只有 dsh CLI 读取个人配置,因此其他测试启动器无需改动。
## Alternatives considered
**独立的 `bin/dsh` 包装脚本占有 `dsh` 这个名字。** 读过 PR #443 后否决:该 PR 把 `apps/cli` 确立为带子命令分发(`web`、`-p`)的 `dsh` CLI,并且默认位空缺。两个互相竞争的 `dsh` 入口会在 `$PATH` 和产品身份上冲突;在同一包形态内认领默认位,把最终的合并冲突限制在小小的分发链上。
**pi 风格的类型化设置文件(`defaultProvider`/`defaultModel`/`providers`)。** 用户否决,选择补丁语义:个人文件是叠加在随仓库提供的默认配置之上的 cordis overlay,而不是需要另行拥有和翻译的第二套配置词汇。
**个人完整 `cordis.yml` 去 include 请求的配置。** 否决:个人文件将不得不写死叶子配置的路径,而该路径随 checkout 变化;补丁反转了依赖方向,bin 仍然选择配置树,个人层只做修正。
**把个人补丁深合并进配置项配置。** 否决:会使补丁语义与已提交 overlay 和 vendor 的 include 分叉;整个 `config` 替换已是成文契约。
**用环境变量开关代替存在性判断。** 否决:默认关闭的个人配置永远不会被用起来;存在即生效加上每个测试的显式隔离,让实际运行获得 overlay、测试获得封闭性。
## Consequences
- 在任意目录运行 `dsh`(以及 `pnpm run demo:tui`)即可零仓库改动地使用个人提供方/模型;已针对个人 Anthropic 代理与 Opus 4.8 端到端验证,包括一次 bash 工具往返。
- 由于按 id 定位的补丁替换整个 `config`,个人覆盖必须复述它保留的基础字段,并可能随基础配置项形态变化而漂移;loader 的「配置项未找到/名称不匹配」警告是仅有的诊断。
- 个人补丁只在被启动文件自身的树里解析 id,因此嵌套 include 的 overlay(Code Mode)不会被个性化;这些叶子的实际运行等价性暂缓。
- `dsh-app-boot` 依赖 `js-yaml`(外加一份只用于加载的 include `!!js` YAML 类型副本),并与 `apps/cli` 一样依赖 `@deepseek-ai/dsh-paths` 以获取 `resolveDshHome`。
- PR #443 落地时,`apps/cli/src/bin.ts` 的分发链与 `apps/cli/package.json` 的依赖列表会产生文本冲突;两者都按并集解决(他们的 `web`/`-p` 分支加上我们的默认 TUI 分支)。
## Testing
`packages/ui/app-boot/tests/personal-config.spec.ts` 固定 `!!js` 的保留与经真实启动树的端到端插值、insert 配置项、默认目录从 `$DSH_HOME` 解析、缺失/为空的无操作路径,以及三种响亮失败形态(不可读、不可解析、非数组)。`examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` 在 PTY 里以三种方式启动 dsh bin:无 overlay 的默认配置、个人 `.env` + `config.yaml` 链条(打补丁的欢迎语渲染进横幅)、以及无效个人文件导致的响亮启动失败。既有冒烟与快照套件在一台真实 `~/.dsh` overlay 会改变启动模型的机器上通过——靠隔离,不靠运气。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-20-tui-startup-slogans.md: a2a22baafddd08145cec0d03b65ee56b2f8114b1
2026-07-20-tui-startup-slogans.zh.md: 58fa5790f315845f27b810d62658bd79428b519b

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# Agent Note: Startup slogans replace the configured TUI welcome line
Status: implemented
English | [中文](2026-07-20-tui-startup-slogans.zh.md)
> **Superseded** for the slogan/animation half by the [banner sweep Agent Note](2026-07-21-tui-banner-sweep.md): the slogan bank and typewriter reveal shipped, read as weird in use, and were replaced by a subtitle-free banner with a whole-banner sweep. The removal of the configured demo welcome and the animation-lifecycle groundwork (start after `ui.start()`, clear through `detachListeners`) stand.
## Problem
The TUI header subtitle came from a `welcome` config the demo leaf set to "TUI agent ready. Give it a coding task." — instructional filler that told a returning user nothing, restated what the product is on every boot, and had a hardcoded twin (`'ready.'`) as the schema default in two packages. The product wanted a startup moment with some character instead of a static banner caption.
## Decision
- `examples/tui-agent/cordis.yml` no longer configures `welcome`; the config key stays for deployments and fixtures that need a fixed, deterministic subtitle (the Code Mode overlay and every snapshot/scripted fixture keep theirs).
- When `welcome` is unset, `dsh-tui` picks one member of an exported `STARTUP_SLOGANS` bank per boot (`pickStartupSlogan`, injectable random source) and reveals it with a typewriter animation: one character per 40 ms frame, a `▌` block cursor trailing until complete. The reveal starts only after `ui.start()` succeeds and its interval is cleared on dispose alongside the other listeners.
- The slogan bank is presentation copy, deliberately not config: deployments that want controlled wording already have `welcome`. Slogans are ASCII-only by contract because the reveal slices per character.
- `dsh-tui-demo` forwards `welcome` only when configured instead of defaulting it, so the app no longer decides the TUI's idle subtitle.
- The keyless PTY boot scenario now waits for the reveal cursor (`▌` — the only source of that glyph in an empty transcript) instead of the removed welcome text.
The same change restores `packages/ui/tui/src/index.ts` to 100 % per-file coverage, which the color-scheme merge had broken on the integration branch: the editor border-color reassignment inside `applyColorScheme` was dead (the `setStatus` call right after re-derives it) and is removed, and the color-scheme query's `.then`/`.catch` arrows became named, tested handlers (`applyReportedScheme`, `ignoreSchemeQueryFailure` — the latter pinned by a test whose terminal throws on the DSR query write).
## Alternatives considered
**A fixed cooler slogan.** Rejected: one string re-read on every boot decays into wallpaper exactly like the line it replaces; a small rotating bank keeps the moment alive at no complexity cost.
**Making the bank and reveal speed configurable.** Rejected: that is two new knobs for presentation copy; `welcome` is already the escape hatch for deployments with an opinion, and the no-hardcoded-tunables rule targets deployment-varying behavior, not brand copy.
**Animating in `HeaderComponent` itself.** Rejected: the component would need a TUI handle and its own lifecycle; the chat already owns a render loop, timers, and a disposal path, so the reveal lives beside the other `createTuiChat` effects and `detachListeners` clears it.
## Consequences
- Boot output is no longer byte-deterministic when `welcome` is unset (random slogan, timed frames). Every recorded or snapshot surface pins `welcome` explicitly, so no snapshot changed; the PTY smoke anchors on the reveal cursor and the session-id line instead.
- The `welcome` schema default disappeared from both `dsh-tui` and `dsh-tui-demo`; a direct caller passing no welcome now gets a slogan, not `'ready.'`.
- Adding a slogan is a one-line bank edit; tests assert membership, not specific text.
## Testing
`packages/ui/tui/tests/tui.spec.ts` pins deterministic bank selection with an injected random source, the reveal (a bank member fully rendered, cursor frames observed), the configured-welcome path rendering verbatim with no cursor, and dispose stopping a mid-reveal animation. `examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` boots the real tree in a PTY and waits on the reveal cursor. Verified live in tmux (mid-reveal frame `no map below▌` then the full slogan).

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# Agent Note: 启动 slogan 取代配置化的 TUI 欢迎语
Status: implemented
[English](2026-07-20-tui-startup-slogans.md) | 中文
> **已被取代**:slogan/动画的那一半由[横幅扫入 Agent Note](2026-07-21-tui-banner-sweep.md)取代:slogan 库和打字机动画上线后实际使用中显得怪异,已替换为无副标题的横幅加整体扫入。移除示例配置中欢迎语的决定与动画生命周期基础设施(`ui.start()` 后启动、经 `detachListeners` 清除)保持不变。
## Problem
TUI 头部副标题来自一个 `welcome` 配置,示例叶子配置把它设为 "TUI agent ready. Give it a coding task."——一句说明书式的填充语,对老用户毫无信息量,每次启动都在复述产品是什么,而且它还有一个硬编码的孪生兄弟(`'ready.'`)作为两个包里的 schema 默认值。产品需要的是一个有性格的启动时刻,而不是一条静态横幅说明。
## Decision
- `examples/tui-agent/cordis.yml` 不再配置 `welcome`;该配置键保留给需要固定、确定性副标题的部署与 fixture(Code Mode overlay 和所有快照/脚本化 fixture 都保留各自的欢迎语)。
- `welcome` 未设置时,`dsh-tui` 每次启动从导出的 `STARTUP_SLOGANS` 库里挑选一条(`pickStartupSlogan`,随机源可注入),并以打字机动画逐字显示:每帧 40 ms 一个字符,完成前尾随一个 `▌` 块状光标。动画只在 `ui.start()` 成功后启动,其定时器与其他监听器一起在 dispose 时清除。
- slogan 库是展示文案,刻意不做成配置:想控制措辞的部署已经有 `welcome` 这个出口。按契约 slogan 只含 ASCII,因为逐字显示按字符切片。
- `dsh-tui-demo` 只在配置了 `welcome` 时才转发它,不再填默认值,应用不再替 TUI 决定空闲副标题。
- 无 key 的 PTY 启动场景改为等待逐字显示的光标(`▌`——空 transcript 里该字形的唯一来源),不再等待已删除的欢迎文本。
同一变更把 `packages/ui/tui/src/index.ts` 恢复到 100% 的单文件覆盖率(颜色方案合并曾在集成分支上破坏它):`applyColorScheme` 里对编辑器边框颜色的重新赋值是死代码(紧随其后的 `setStatus` 调用会重新推导它),已删除;颜色方案查询的 `.then`/`.catch` 箭头函数改为具名、有测试的处理器(`applyReportedScheme`、`ignoreSchemeQueryFailure`——后者由一个让终端在 DSR 查询写入时抛错的测试固定)。
## Alternatives considered
**换一条更酷的固定 slogan。** 否决:一条每次启动都重读的字符串会和它取代的那行一样退化成墙纸;一个小的轮换库以零复杂度代价让这个时刻保持新鲜。
**把 slogan 库和显示速度做成配置。** 否决:那是为展示文案新增两个旋钮;对措辞有主张的部署已经有 `welcome` 这个出口,而「插件里不许硬编码可调参数」规则针对的是随部署变化的行为,不是品牌文案。
**在 `HeaderComponent` 内部做动画。** 否决:组件将需要持有 TUI 句柄和自己的生命周期;聊天层已经拥有渲染循环、定时器和释放路径,所以逐字显示与 `createTuiChat` 的其他资源放在一起,由 `detachListeners` 清除。
## Consequences
- `welcome` 未设置时启动输出不再字节级确定(随机 slogan、定时帧)。所有录制或快照表面都显式固定 `welcome`,因此没有快照变化;PTY 冒烟测试改为锚定逐字显示光标和会话 id 行。
- `welcome` 的 schema 默认值从 `dsh-tui` 和 `dsh-tui-demo` 中消失;不传 welcome 的直接调用方现在得到的是 slogan,而不是 `'ready.'`。
- 新增一条 slogan 只需在库里加一行;测试断言成员归属,不断言具体文本。
## Testing
`packages/ui/tui/tests/tui.spec.ts` 固定以下行为:注入随机源后的确定性选取、逐字显示(库中某条完整渲染、观察到光标帧)、配置了 welcome 时逐字动画不启动且原文渲染、以及 dispose 停止进行中的动画。`examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` 在 PTY 里启动真实配置树并等待显示光标。已在 tmux 中实机验证(中途帧 `no map below▌`,随后是完整 slogan)。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-20-windows-tui-support.md: 6b728486dd50faac067933ce06f883447aae821f
2026-07-20-windows-tui-support.zh.md: 2b53b05ff6231361d79b4304181dc0e6d8e24e68

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# Agent Note: Support the TUI on Windows
Status: implemented
English | [中文](2026-07-20-windows-tui-support.zh.md)
## Problem
The full-screen TUI delegates raw input, ANSI rendering, resize events, and terminal restoration to pi-tui's `ProcessTerminal`. That dependency contains a native Windows console path, but the repository's real-process smoke used Python's POSIX-only `pty` and `termios` modules. Skipping that smoke on Windows would leave the supported product path without coverage for startup, input, interaction, failure reporting, or restoration.
The TUI platform contract must follow the runtime shipped to users rather than the portability of one test driver. A platform exclusion is justified only when the product has an unsupported runtime dependency or a demonstrated semantic gap.
## Decision
[`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) supports interactive terminals on Windows as well as macOS and Linux. The product continues to use pi-tui's `ProcessTerminal`; on Windows it enables virtual-terminal input after raw mode and avoids the Unix-only `SIGWINCH` refresh. DeepSeek Harness adds no platform rejection or reduced Windows mode.
The real Loader smoke selects a native pseudo-terminal boundary by host. macOS and Linux retain the Python POSIX PTY driver. Windows uses `node-pty` and ConPTY. Both drivers receive the same launch command, environment, terminal dimensions, marker-gated input actions, timeout, expected exit code, and output assertions, and all three smoke scenarios run on every supported platform.
`node-pty` is a test-only dependency of the examples workspace. Its reviewed native install script is explicitly enabled in `pnpm-workspace.yaml`; production TUI packages do not acquire a new dependency or subprocess layer.
## Alternatives considered
- **Declare the TUI unsupported on Windows** — rejected because the pinned terminal runtime implements Windows console input explicitly and the harness has no POSIX-only production dependency. A documentation-only exclusion would discard an existing product path to accommodate a test harness gap.
- **Run the POSIX driver through MSYS, Cygwin, or WSL** — rejected because that would test a compatibility environment rather than the native Windows console path users run.
- **Use `node-pty` on every host** — rejected because the established POSIX driver already provides the macOS and Linux boundary; replacing it would widen the runtime change without improving those hosts. Platform-specific drivers reserve the `node-pty` runtime path for Windows while sharing one scenario contract.
- **Rely on renderer unit tests and semantic terminal snapshots** — rejected because fake terminals do not prove Loader boot, real raw input, process exit, or terminal restoration at the operating-system boundary.
## Consequences
- The Windows artifact lane executes the startup, scripted interaction, resume-failure, and restoration scenarios, and the suite has no supported-platform skip.
- The Windows process proof depends on ConPTY and a pinned `node-pty` release; changing that dependency or its allowed install script requires native-boundary review.
- The two PTY drivers can differ internally, but shared inputs and assertions keep their observable TUI contract aligned.
- Windows support remains bounded by the Node and pi-tui versions shipped by the repository; unsupported historical Windows console environments do not receive a compatibility layer.

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# Agent Note: 在 Windows 上支持 TUI
Status: implemented
[English](2026-07-20-windows-tui-support.md) | 中文
## 问题
全屏 TUI 将原始输入、ANSI 渲染、终端尺寸变更事件和终端恢复委托给 pi-tui 的 `ProcessTerminal`。该依赖已实现原生 Windows 控制台路径,但仓库的真实进程冒烟测试此前使用 Python 中仅适用于 POSIX 的 `pty` 和 `termios` 模块。若在 Windows 上跳过该测试,这条受支持的产品路径便会缺少针对启动、输入、交互、失败报告和终端恢复的测试覆盖率。
TUI 平台契约必须以交付给用户的运行时为准,而不是取决于某个测试驱动程序的可移植性。只有产品存在不受支持的运行时依赖,或已证实存在语义缺口时,排除某个平台才有依据。
## 决策
[`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) 在 Windows、macOS 和 Linux 上均支持交互式终端。产品继续使用 pi-tui 的 `ProcessTerminal`;在 Windows 上,它会在进入原始模式后启用虚拟终端输入,并避开仅适用于 Unix 的 `SIGWINCH` 刷新。DeepSeek Harness 不增加平台拒绝逻辑,也不采用功能受限的 Windows 模式。
真实 Loader 冒烟测试根据宿主选择原生伪终端边界。macOS 和 Linux 继续使用 Python POSIX PTY 驱动,Windows 则使用 `node-pty` 和 ConPTY。两种驱动接收相同的启动命令、环境、终端尺寸、以标记为触发条件的输入动作、超时、预期退出码和输出断言;3 个冒烟场景都会在每个受支持平台上运行。
`node-pty` 是 examples 工作区仅供测试使用的依赖。该依赖经评审的原生安装脚本在 `pnpm-workspace.yaml` 中显式启用;生产 TUI 包(package)不会新增依赖或子进程层。
## 曾考虑的替代方案
- **声明 TUI 不支持 Windows**:不予采纳,因为固定版本的终端运行时已显式实现 Windows 控制台输入,且 harness 没有仅适用于 POSIX 的生产依赖。仅通过文档排除 Windows,等于为迁就测试 harness 的缺口而舍弃现有产品路径。
- **通过 MSYS、Cygwin 或 WSL 运行 POSIX 驱动**:不予采纳,因为这会测试兼容环境,而不是用户实际运行的原生 Windows 控制台路径。
- **在所有宿主上使用 `node-pty`**:不予采纳,因为现有 POSIX 驱动已经为 macOS 和 Linux 提供所需边界;替换该驱动会扩大运行时变更范围,却不会给这两个宿主带来改进。按平台选择驱动,仅在 Windows 上启用 `node-pty` 运行时路径,同时共享同一份场景契约。
- **依赖渲染器单元测试和语义终端快照**:不予采纳,因为模拟终端无法证明 Loader 启动、真实原始输入、进程退出或操作系统边界上的终端恢复。
## 后果
- Windows 产物 lane 执行启动、脚本化交互、配置恢复失败和终端恢复场景,这套测试不会在任何受支持平台上跳过。
- Windows 进程级验证依赖 ConPTY 和固定版本的 `node-pty`;变更该依赖或允许执行的安装脚本时,必须进行原生边界评审。
- 两种 PTY 驱动的内部实现可以不同,但共享的输入和断言会使其可观测 TUI 契约保持一致。
- Windows 支持范围以仓库交付的 Node 和 pi-tui 版本为界;不受支持的旧版 Windows 控制台环境不会获得兼容层。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-cross-session-references.md: bfa015b24cda6c8651829b6a7f0800326da5b502
2026-07-21-cross-session-references.zh.md: e8e99124f7e2ccfe9fbe97323c17143372017562

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# Agent Note: Cross-session references
Status: implemented
English | [中文](2026-07-21-cross-session-references.zh.md)
## Problem
TUI and ACP users need to bring relevant work from another conversation into one new message without resuming, forking, or granting the source transcript authority over the current session. The harness already exposes exact session enumeration and raw event inspection, but every host independently parsing logs would duplicate compaction folding, provenance filtering, size limits, error behavior, and persistence. Encoding host markup directly into the agent message contract would also bind the core loop to one UI syntax.
## Decision
`@deepseek-ai/dsh-session-reference` is one context consumer service at `ctx.sessionReferences`. Hosts normalize their protocol into `SessionReferenceInput[]`, call `prepare()` before enqueue, and pass the returned contexts through the generic `SendOptions.contexts` boundary. Core agent packages know only that one queued message may carry frozen `HookContext[]`; they do not parse session URIs or read another log.
`dsh-session:<base64url(JSON.stringify(sessionId))>` is the canonical host-independent identifier. JSON string encoding precedes base64url so quotes, slashes, backslashes, Unicode, newlines, and every other JavaScript string value round-trip without delimiter ambiguity. TUI renders that URI inside `@[label](uri)` and ACP uses standard `resource_link`; text-only clients may use the same inline mention. Explicit Markdown mentions and resource links reject malformed URIs. Bare text becomes a reference only for a non-empty base64url-shaped payload, whose decode must still be canonical; empty or punctuation-only uses remain ordinary discussion text.
The service uses `ctx.sessionQuery.readSurface(sessionId)`, which loads one live-preferred corpus observation, folds it with the session package's canonical surface algorithm, and returns a detached header, capture seq, and current nodes. FTS is not a dependency: v1 discovery filters only id and cwd, and future title/body search can replace the candidate layer without changing reference identity or preparation.
## Snapshot and projection
Preparation deduplicates in first-appearance order, rejects the target id, enforces a configurable limit with a hard maximum of three references, and performs all reads in parallel. It returns no partially prepared context: any read, cancellation, validation, or budget error rejects the operation before `send()` or `steer()`. Cancellation races in-flight discovery and exact reads, so a host settles promptly even when a persistence backend cannot interrupt its pending operation; any late backend settlement is observed but cannot enqueue the message. A source is read before enqueue, so later source messages, compaction, deletion, or persistence replacement cannot change the target session.
Projection retains direct-user messages and steering, completed assistant text, and checkpoint user messages carrying the canonical source exported by `dsh-compact`. That marker is part of the compaction capability contract rather than a backend package name. When a source prompt already contains baked prefix context, projection reads only its model-hidden display content, so referencing that target later does not recursively propagate an earlier snapshot. Projection excludes shadowed pre-compaction nodes, tools and results, reasoning, injected context, other plugin user messages, log-only records, and incomplete assistant chunks. Repeated compaction therefore exposes only the latest folded checkpoint lineage still on the current surface plus its retained tail; there is no raw/current switch and no shadow recovery.
One aggregated context is serialized as JSON beneath a fixed untrusted-background warning. The warning tells the model not to follow instructions, permission claims, or tool requests from referenced sessions unless the current user repeats them. Tag-safe serialization emits every data `<` as the lossless JSON escape `\u003c`; source strings therefore cannot spell the surrounding XML-like tags. The `## My request:` text is a routing cue rather than the trust boundary: referenced data may spell those words inside a JSON string, but it cannot forge the closing `</referenced-sessions>` tag or escape the data region. The same serializer drives each source's independent byte accounting. The context declares `prompt-prefix` placement, so AgentLoop persists one `user/message` or `steering/message` containing the snapshot, `## My request:` delimiter, and effective direct prompt. Its model-hidden envelope retains the direct display content and source/retention metadata. Target replay therefore satisfies the model-visible/log-reconstructable invariant without a new event type or a separate user-role context message.
## Message ownership
`send()` and `steer()` snapshot content, resolved source, and contexts together as one deeply frozen lossless-JSON inbox record. Synthetic `inject()` accepts source and model-hidden metadata but not attached contexts, which belong to inbox messages. A claimed ordinary message exposes its attached contexts as the default `agent/prompt-submit` additional contexts; a block writes neither user message nor contexts. The waterfall's returned allow is authoritative, so a listener wrapping `next()` preserves downstream content and contexts unless it intentionally replaces them. After admission, absent or `separate` placement writes an independent `context/message`, while `prompt-prefix` placement bakes context and the effective request into one prompt event. Drained steering bypasses `agent/prompt-submit` but applies the same placement split. Late steering retains the same record when converted to queued input, while cancellation, disposal, and terminal discard drop message and contexts together. `agent/queued` reports the frozen contexts so the observation event describes the complete retained item.
This preserves host driving semantics: TUI decides `send()` versus `steer()` from the agent state after preparation, so only its queued path dispatches UserPromptSubmit hooks; ACP continues to call `send()` once per `session/prompt`. Reference preparation is not a new steering protocol and does not create a turn by itself.
## Host adapters
TUI combines session candidates with the existing `@` file provider. Each candidate displays the latest folded session title and falls back to the session id; lookup follows the editor's cancellation signal, and session id, cwd, and mention labels escape external terminal controls while the canonical URI retains the original id. TUI prepares only submissions containing structured mentions, disables duplicate submit while awaiting snapshots, restores failed input, renders the prompt envelope's display content as the user message, and renders its session-reference metadata as a compact source list instead of exposing the complete JSON in the terminal.
ACP detects direct slash commands from ordinary prompt flattening before extracting `dsh-session:` resource links and canonical inline mentions, so URI-shaped command arguments remain opaque while ordinary resource-link rendering is preserved. Standard `session/list` exposes each loadable session's folded title and, when references are mounted, a canonical URI under `_meta["deepseek-harness/sessionReference"]`; a client can use `title ?? sessionId` as the resource-link name. A valid reference without the optional service returns a capability-unavailable RPC error, and preparation failure occurs before the in-flight turn slot and agent send. A preparation-specific abort owner makes `session/cancel` and bridge teardown stop pending reads. Picker UI remains an ACP client responsibility because ACP does not define a cross-session mention menu.
## Budget and retention
Each of at most three references is independently capped at 65,536 UTF-8 bytes by default. Retention preserves current compact checkpoints and the newest conversation unit before dropping older non-checkpoint messages. An oversized retained text uses `dsh-retention` head/tail slicing and records exact omitted bytes; if one source's fixed serialized fields cannot fit its cap, the whole preparation fails rather than emitting a partial context.
## Alternatives considered
- **Wait for SQLite FTS5** — rejected because snapshot correctness requires exact id reads and canonical surface folding, not content search. FTS improves discovery only.
- **Put mention syntax in `Agent.send()`** — rejected because it would make the core protocol parse TUI/ACP presentation and prevent typed non-text hosts from sharing the semantic layer.
- **Implement references inside TUI and ACP separately** — rejected because projection, security warning, retention, and persistence would drift across hosts.
- **Place a separate user-role context message beside the prompt** — rejected because two adjacent user messages weaken the prompt's deictic binding: in `@foo what does this session discuss?`, the model may resolve “this session” as the current conversation instead of the referenced snapshot.
- **Bake the prefix host-side before `send()`** — rejected because `agent/prompt-submit` must inspect and rewrite only the direct prompt. The effective prompt and attached contexts meet only after admission in AgentLoop, which can apply an `allow.content` rewrite consistently to both combined model content and `envelope.displayContent`; earlier host assembly would expose snapshot bytes to the hook or let those two views diverge.
- **Replay the raw source log or restore shadowed events** — rejected because compact defines the current model surface and may intentionally retire sensitive or expensive history.
- **Resume or fork the source** — rejected because the feature supplies read-only background for one target message, not identity or lifecycle continuity.
- **Inject at request time by rereading the source** — rejected because the reference would become nondeterministic, cancellation races could alter its bytes, and target replay would depend on external mutable state.
## Verification
Unit and integration coverage pins URI round-trips and text-boundary punctuation, explicit malformed references, title-aware candidate ranking, terminal-control escaping, projection exclusions, non-recursive prompt-envelope projection, backend-independent compact checkpoints, tag-safe framing, deduplication, self-reference, count limits, all-or-nothing reads, prompt cancellation against a non-settling storage read, independent per-source byte retention, frozen message ownership, prompt blocking, send/steer placement, title isolation, missing capability, title-aware ACP session listing, ordinary ACP resource links, opaque ACP command arguments, and compact TUI/ACP replay. A keyless TUI snapshot runs the real agent loop: the source surface replaces old user/assistant history with a compact checkpoint, the target submits a mention, and the captured model request contains one user message ordered as snapshot, request delimiter, and current prompt, without either shadowed string.
## Consequences
The new plugin is the stable semantic boundary and adds no persistence schema, event type, FTS dependency, source subscription, or compact shadow access. Standard TUI/ACP demo bundles mount it explicitly and expose its count and per-source byte limits in their own config; custom hosts remain unchanged until they mount the service and adapt their input. Reference contexts increase target history size within configured bounds and can later be summarized by ordinary target compaction, after which the source session is irrelevant.

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# Agent Note: 跨会话引用
Status: implemented
[English](2026-07-21-cross-session-references.md) | 中文
## 问题
TUI 与 ACP(Agent Client Protocol)用户需要把另一场对话中的相关工作带入一条新消息,但不恢复、不 fork,也不让源 transcript(文本记录)对当前会话拥有权威性。harness 已经提供准确的会话枚举与原始事件检查,但若每个宿主都独立解析日志,就会重复实现压缩(compaction)折叠、来源过滤、大小限制、错误行为和持久化。把宿主标记直接编码进 agent(智能体)消息契约,还会让核心循环绑定某一种 UI 语法。
## 决策
`@deepseek-ai/dsh-session-reference` 是注册在 `ctx.sessionReferences` 上的单一上下文消费服务。宿主先把各自的协议规范化为 `SessionReferenceInput[]`,在入队前调用 `prepare()`,再通过通用的 `SendOptions.contexts` 边界传递返回的上下文。核心 agent 包只知道一条排队消息可以携带已冻结的 `HookContext[]`;它们既不解析会话 URI,也不读取其他日志。
`dsh-session:<base64url(JSON.stringify(sessionId))>` 是与宿主无关的规范标识符。系统先执行 JSON 字符串编码,再执行 base64url 编码,因此引号、正斜杠、反斜杠、Unicode、换行符以及其他任意 JavaScript 字符串值都能无损往返,不会因分隔符产生歧义。TUI 把该 URI 渲染到 `@[label](uri)` 中,ACP 使用标准 `resource_link`;纯文本客户端可以使用同一种行内提及标记。显式 Markdown 提及标记与资源链接会拒绝格式错误的 URI。裸文本只有在负载非空且形状符合 base64url 时才会成为引用,而且解码过程仍须通过规范性校验;空负载或只含标点符号的用法仍按普通讨论文本处理。
该服务使用 `ctx.sessionQuery.readSurface(sessionId)`:它优先从实时会话加载一次语料观察结果,使用会话包的规范表层算法执行折叠,并返回与源数据分离的会话头、捕获序号和当前节点。FTS 不是功能依赖:v1 的候选发现只按 id 和 cwd 过滤;未来的标题或正文搜索可以替换候选层,而无需改变引用标识或准备过程。
## 快照与投影
准备过程按首次出现的顺序去重、拒绝目标会话自身的 id,并且执行可配置的数量限制,但引用硬上限为三个,所有读取均并行执行。该过程不会返回部分完成的上下文:任何读取、取消、校验或预算错误都会在调用 `send()` 或 `steer()` 前拒绝本次操作。取消会与进行中的候选发现和精确读取竞速,因此即使持久化后端无法中断待处理操作,宿主也能及时结束等待;后端迟到的完成结果仍会被观察,但不能让消息入队。源会话在入队前完成读取,因此源会话后续新增消息、执行压缩、被删除或替换持久化内容,都无法改变目标会话中的快照。
投影会保留直接用户消息与 steering(中途引导)、已完成的 assistant 文本,以及携带由 `dsh-compact` 导出的规范来源标记的检查点用户消息。该标记属于压缩功能契约的一部分,而非某个后端包名称。当源提示词已包含合并写入的前缀上下文时,投影只读取其模型不可见的显示内容,因此后续引用该目标不会递归传播先前的快照。投影会排除压缩前已被遮蔽的节点、工具及其结果、推理(reasoning)、注入的上下文、其他插件用户消息、仅用于日志的记录,以及尚未完成的 assistant 分片。因此,重复压缩只会暴露当前表层仍保留的最新折叠检查点谱系及其尾部消息;系统不提供 raw/current 开关,也不恢复被遮蔽的内容。
系统把一个聚合上下文序列化为 JSON,并置于固定的不可信背景警告之后。该警告要求模型不要遵循被引用会话中的指令、权限声明或工具请求,除非当前用户再次提出这些内容。标签安全序列化会把数据中的每个 `<` 无损转义为 JSON `\u003c`;因此源字符串无法拼出外围类似 XML 的标签。`## My request:` 文本只是路由提示,不是信任边界:被引用数据可以在 JSON 字符串中包含这些词,但无法伪造闭合的 `</referenced-sessions>` 标签,也无法逃逸数据区域。同一个序列化器会独立核算每个源的字节数。该上下文声明 `prompt-prefix` 放置方式,因此 AgentLoop 会持久化一条 `user/message` 或 `steering/message`,其中包含快照、`## My request:` 分隔符和最终生效的直接提示词。其模型不可见封套保留直接显示内容以及来源与保留元数据。因此,目标回放无需新增事件类型或单独的用户角色上下文消息,也能满足「模型可见/日志可重建」不变量。
## 消息所有权
`send()` 与 `steer()` 会把内容、解析后的来源和上下文一起快照为一条深度冻结、无损 JSON 的收件箱记录。合成的 `inject()` 接受来源和模型不可见的元数据,但不接受附加上下文,因为上下文属于收件箱消息。普通消息被认领后,其附带的上下文会作为 `agent/prompt-submit` 的默认附加上下文公开;提示词被阻止时,系统既不写入用户消息,也不写入上下文。waterfall(瀑布式事件)返回的 allow 结果具有最终权威性,因此监听器包装 `next()` 时会保留下游内容与上下文,除非它有意替换这些值。消息被接纳后,未指定放置方式或指定为 `separate` 时会写入独立的 `context/message`;指定为 `prompt-prefix` 时则会把上下文与最终生效的请求合并写入同一个提示词事件。排空 steering 消息时会绕过 `agent/prompt-submit`,但采用相同的放置方式分流。延迟到达的 steering 转换为排队输入时保留同一条记录;取消、dispose(资源释放)和到达终止态后的丢弃则会同时丢弃消息与上下文。`agent/queued` 会报告已冻结的上下文,使观察事件能够描述完整的保留项。
这保留了宿主的驱动语义:TUI 在准备完成后根据 agent 状态决定调用 `send()` 还是 `steer()`,因此只有它的排队路径才会分派 UserPromptSubmit 钩子;ACP 则继续调用 `send()`,每个 `session/prompt` 调用一次。引用准备过程不是新的 steering 协议,本身也不会创建轮次。
## 宿主适配器
TUI 把会话候选与现有 `@` 文件提供方组合在一起。每个候选项显示最新折叠后的会话标题,没有标题时回退到 session id。候选查询遵循编辑器的取消信号;session id、cwd 和提及标签中的外部终端控制字符会被转义,但规范 URI 仍保留原始 id。TUI 只准备包含结构化提及标记的提交;等待快照时禁用重复提交;失败时恢复输入;它把提示词封套的显示内容渲染为用户消息,并把其中的会话引用元数据渲染为精简的来源列表,不在终端中暴露完整 JSON。
ACP 先从普通提示词扁平化结果中检测直接斜杠命令,再提取 `dsh-session:` 资源链接和规范的行内提及标记,因此形如 URI 的命令参数保持不透明,同时保留普通资源链接的渲染方式。标准 `session/list` 会公开每个可加载会话折叠后的标题;挂载会话引用功能时,还会在 `_meta["deepseek-harness/sessionReference"]` 下公开规范 URI。客户端可以使用 `title ?? sessionId` 作为资源链接名称。若引用有效但可选服务未挂载,系统会返回「功能不可用」RPC 错误;准备失败会发生在占用进行中轮次槽位并调用 agent send 之前。引用准备过程单独拥有中止控制权,因此 `session/cancel` 和桥接释放都能停止待处理的读取。选择器 UI 仍由 ACP 客户端负责,因为 ACP 未定义跨会话提及菜单。
## 预算与保留策略
最多三个引用中的每一个默认独立限制在 65,536 个 UTF-8 字节以内,不设置完整提示词的总预算。保留策略会优先保留当前压缩检查点和最新的对话单元,再丢弃较旧的非检查点消息。若保留文本过大,系统使用 `dsh-retention` 进行首尾切片并记录准确的省略字节数;若某个源的固定序列化字段无法装入其上限,整个准备过程会失败,不会输出部分上下文。
## 考虑过的替代方案
- **等待 SQLite FTS5**:不予采纳,因为快照正确性依赖按准确 id 读取和规范表层折叠,而不是内容搜索。FTS 只改进候选发现。
- **把提及标记语法放入 `Agent.send()`**:不予采纳,因为这会迫使核心协议解析 TUI/ACP 的表现层,并阻止带类型的非文本宿主复用同一语义层。
- **在 TUI 和 ACP 中分别实现引用**:不予采纳,因为投影、安全警告、保留策略和持久化会在不同宿主之间逐渐偏离。
- **在提示词旁放置单独的用户角色上下文消息**:不予采纳,因为相邻的两条用户消息会削弱提示词的指示语绑定:在 `@foo what does this session discuss?` 中,模型可能把「this session」解析为当前对话,而不是被引用的快照。
- **在调用 `send()` 前由宿主合并前缀**:不予采纳,因为 `agent/prompt-submit` 必须只检查和改写直接提示词。最终生效的提示词与附加上下文只有在 AgentLoop 接纳后才汇合;此时 AgentLoop 可以把 `allow.content` 改写一致应用于合并后的模型内容和 `envelope.displayContent`。若由宿主更早组装,就会向该钩子暴露快照字节,或使这两个视图发生偏离。
- **回放原始源日志或恢复被遮蔽的事件**:不予采纳,因为压缩定义了当前模型表层,并且可能有意淘汰敏感或开销高昂的历史内容。
- **恢复或 fork 源会话**:不予采纳,因为本功能只为一条目标消息提供只读背景,不提供身份或生命周期连续性。
- **在请求时重新读取源会话并注入**:不予采纳,因为这会让引用变得不确定,取消竞态可能改变其字节内容,目标回放也会依赖可变的外部状态。
## 验证
单元与集成测试覆盖 URI 无损往返与文本边界标点、显式格式错误的引用、会考虑标题的候选排序、终端控制字符转义、投影排除规则、提示词封套的非递归投影、与后端无关的压缩检查点、标签安全封套、去重、自引用、数量限制、读取的全有或全无、存储读取不结束时取消提示词、逐源独立字节保留、冻结的消息所有权、提示词阻止、send/steer 放置方式、标题隔离、功能缺失、包含标题信息的 ACP 会话列表、普通 ACP 资源链接、不透明的 ACP 命令参数,以及精简的 TUI/ACP 回放。无密钥 TUI 快照会运行真实的 agent loop(智能体循环):源表层用一个压缩检查点替换旧的用户/assistant 历史,目标会话提交一个提及标记,捕获到的模型请求只包含一条用户消息,其中依次为快照、请求分隔符和当前提示词,并且不包含任一被遮蔽的字符串。
## 后果
新插件构成稳定的语义边界,不会新增持久化 schema、事件类型、FTS 依赖、源会话订阅或对压缩所遮蔽内容的访问。标准 TUI/ACP 演示组合包会显式挂载它,并在各自的配置中暴露引用数量和逐源字节上限;自定义宿主在挂载该服务并适配输入前保持不变。引用上下文会在配置的界限内增大目标历史,随后可由目标会话的普通压缩进行摘要;完成压缩后,源会话便不再相关。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-dsh-system-prompt-source-path.md: b54d01488fd7c0b49e06200c93af2b056c9fd00b
2026-07-21-dsh-system-prompt-source-path.zh.md: 208e3dce072f63c280999e15276dce62ff4e5c43

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# Agent Note: dsh tells the agent where its own source lives
Status: implemented
English | [中文](2026-07-21-dsh-system-prompt-source-path.zh.md)
## Problem
The `dsh` CLI is the self-referential surface: its `cordis` toolset lets the agent inspect and modify the very harness runtime it runs in. But the agent had no way to learn where that source lives on disk. `dsh` is normally symlinked onto PATH and launched from an arbitrary working directory — the project under work — so neither the cwd nor `argv` reliably points at the harness checkout. Without the path, "read your own source" is guesswork.
## Decision
The `dsh` launcher (`apps/cli/src/tui.ts`) computes the harness checkout root from its own module URL — `fileURLToPath(new URL('../../..', import.meta.url))`, three hops up from `apps/cli/{src,lib}` — so it resolves to the real source location however `dsh` is launched (a PATH symlink, an arbitrary cwd). After `boot()` settles the tree, the launcher calls the new `addHarnessSourceSection(ctx, sourceRoot)` helper from `dsh-app-boot`, which registers a global `harness:source` prompt section reading `Your own source code is the checkout at <path>; you can read it there to learn how dsh works and how to extend it.` The section orders at `-99`, just after the harness identity opener (`-100`) and before the deployment persona (`0`).
The testable logic lives in `dsh-app-boot`, not in `apps/cli`, because `apps/*` are not coverage-gated and `packages/*` are. Resolving the optional `systemPrompt` service, registering the section, and returning the disposer belong where per-file 100% coverage applies; the launcher keeps only the thin glue — compute the path, call the helper — covered by the CLI's PTY e2e. When the booted tree has no `systemPrompt` service the helper is a no-op returning `undefined`.
## Scope
Only the `dsh` CLI adds this. The demo bins (`dsh-tui-demo`, `dsh-acp-demo`) boot their committed trees verbatim and gain no source section: they are not the self-modification surface, and their checkout root is not a fact the model needs.
## HMR
The section is registered against the booted `systemPrompt` service's own fiber (through `ctx.get('systemPrompt')`), so a dev HMR reload of the system-prompt plugin drops it until the next boot. Production HMR watches the config, not the built lib, so this is a dev-only wrinkle and acceptable.
## Alternatives considered
**Register the section inside the system-prompt service constructor.** It would then appear in every deployment, not just the self-referential CLI, and the source root would have to be threaded through config to reach the constructor. The path is a launcher fact, so the launcher owns injecting it.
**Keep the whole thing in `apps/cli/src/tui.ts`.** Apps are not coverage-gated, so the registration and absent-service branches would ship untested. Extracting the tested helper into `dsh-app-boot` keeps the gate meaningful; the launcher glue is exercised by the CLI's keyless PTY smoke.
**Add a cordis.yml config field for the path.** The path is not a deployment choice — it is mechanically the launcher's own location. A config field invites a stale hand-entered path and adds a knob with no legitimate variation.
**Resolve from `process.cwd()` or `process.argv[1]`.** The cwd is the user's project, and a PATH symlink makes `argv[1]` the symlink path; `import.meta.url` is the only handle on the real source location.
## Consequences
The agent's system prompt now names its own checkout, so the `cordis` toolset can read and edit harness source with no discovery step. `dsh-app-boot` gains a type-only dependency on `dsh-system-prompt` (peer + dev, matching the acp package's side-effect type import) for the `ctx.get('systemPrompt')` declaration merge; there is no runtime dependency. The section is model-visible text, pinned verbatim in an app-boot unit test and asserted end to end through the CLI's keyless PTY smoke — which boots `dsh` against the scripted config, runs a turn, and reads the path back out of the persisted `request/header` system prompt. The line sits before per-request content, so it does not perturb the KV cache across turns.

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# Agent Note: dsh 告知 agent 其自身源码所在位置
Status: implemented
[English](2026-07-21-dsh-system-prompt-source-path.md) | 中文
## Problem
`dsh` CLI 是自我引用的接口:其 `cordis` 工具包让 agent(智能体)得以查看并修改它自身运行其上的 harness(智能体框架)运行时。但 agent 此前无从得知这份源码在磁盘上的位置。`dsh` 通常以符号链接的形式挂到 PATH 上,并从任意工作目录(正在处理的项目)启动,因此无论是 cwd 还是 `argv` 都无法可靠地指向 harness 检出目录。缺了这个路径,"读取你自己的源码"便只能靠猜。
## Decision
`dsh` 启动器(`apps/cli/src/tui.ts`)从它自身的模块 URL 计算 harness 检出根目录——`fileURLToPath(new URL('../../..', import.meta.url))`,从 `apps/cli/{src,lib}` 向上三级——因此无论 `dsh` 以何种方式启动(PATH 符号链接、任意 cwd),它都能解析到真实的源码位置。在 `boot()` 使插件树就位之后,启动器调用来自 `dsh-app-boot` 的新辅助函数 `addHarnessSourceSection(ctx, sourceRoot)`,它注册一个全局 `harness:source` 提示词段,内容为 `Your own source code is the checkout at <path>; you can read it there to learn how dsh works and how to extend it.`。该段的 order 为 `-99`,恰在 harness 身份开场(`-100`)之后、部署 persona(`0`)之前。
可测试的逻辑放在 `dsh-app-boot` 而非 `apps/cli` 中,因为 `apps/*` 不受覆盖率门禁约束,而 `packages/*` 受约束。解析可选的 `systemPrompt` 服务、注册该段、返回 dispose(资源释放)器,这些都属于按文件 100% 覆盖率生效的地方;启动器只保留那层薄薄的黏合——计算路径、调用辅助函数——由 CLI 的 PTY e2e 覆盖。当就位的插件树没有 `systemPrompt` 服务时,该辅助函数是一个返回 `undefined` 的空操作。
## Scope
只有 `dsh` CLI 会加入这一段。demo bin(`dsh-tui-demo`、`dsh-acp-demo`)原样引导它们已提交的插件树,不会获得 source 段:它们不是自我修改的接口,其检出根目录也不是模型需要知道的事实。
## HMR
该段是针对就位后的 `systemPrompt` 服务自身的 fiber 注册的(通过 `ctx.get('systemPrompt')`),因此对 system-prompt 插件做一次开发态 HMR(热模块替换)重载会丢弃它,直到下一次引导为止。生产环境的 HMR 监视的是配置而非构建产物 lib,所以这只是一个仅限开发态的小瑕疵,可以接受。
## Alternatives considered
**在 system-prompt 服务的构造函数内注册该段。** 那样它会出现在每一个部署中,而不只是自我引用的 CLI,而且源码根目录还得穿过配置才能到达构造函数。这个路径是启动器的事实,所以由启动器负责注入它。
**把整件事都留在 `apps/cli/src/tui.ts` 里。** apps 不受覆盖率门禁约束,因此注册逻辑与服务缺失分支会以未受测的形式发布。把受测的辅助函数抽取到 `dsh-app-boot` 让门禁保持有效;启动器的黏合部分由 CLI 的无密钥 PTY 冒烟测试演练。
**为该路径新增一个 cordis.yml 配置键。** 这个路径不是一项部署选择——它在机制上就是启动器自身的位置。配置键会招致手工填入的路径变陈旧,并新增一个没有合理变化空间的旋钮。
**从 `process.cwd()` 或 `process.argv[1]` 解析。** cwd 是用户的项目,而 PATH 符号链接会使 `argv[1]` 成为符号链接自身的路径;`import.meta.url` 是唯一能抓住真实源码位置的把手。
## Consequences
agent 的系统提示词现在会写明它自己的检出目录,因此 `cordis` 工具包无需一个发现步骤就能读取并编辑 harness 源码。`dsh-app-boot` 为 `ctx.get('systemPrompt')` 的声明合并新增了一个对 `dsh-system-prompt` 的仅类型依赖(peer dependency(对等依赖)+ dev,与 acp 包的副作用型类型 import 模式一致);不存在运行时依赖。该段是模型可见文本,在 app-boot 单元测试中逐字锁定,并通过 CLI 的无密钥 PTY 冒烟测试端到端断言——该测试以脚本化配置引导 `dsh`、运行一个轮次,再从持久化的 `request/header` 系统提示词中把路径读回来。这一行位于按请求变化的内容之前,所以它不会在多个轮次间扰动 KV Cache。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-follow-instruction-symlinks.md: 49b02c38fb49241f5941dc3431c43f031fb7193e
2026-07-21-follow-instruction-symlinks.zh.md: ba47325dde30cea899b2e038221f841bdfa2f1c6

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# Agent Note: Follow symlinked instruction files
Status: implemented
English | [中文](2026-07-21-follow-instruction-symlinks.zh.md)
## Problem
The [workspace-context plugin](2026-06-24-workspace-context.md) probed each instruction candidate with `ctx.fs.lstat` before resolving, rejecting any final-component symlink so a repository-owned link could not point instruction loading at content outside the workspace. That no-follow invariant blocked a deliberate, supported setup: a user who symlinks `$DSH_HOME/AGENTS.md` — or a project `AGENTS.md` — to a canonical instruction file kept elsewhere, sharing one house-style file across tools and homes, saw the link silently ignored. It also forced content dedup to treat the ubiquitous `CLAUDE.md → AGENTS.md` mirror as a special skipped case rather than an ordinary duplicate. The repository owner asked to follow symlinked instruction files unconditionally across every scope, accepting the residual trust-boundary risk recorded below.
## Decision
Instruction discovery no longer inspects the final component with `lstat`. Every candidate — the user-global `$DSH_HOME/AGENTS.md`, each base candidate, and each local-overlay candidate — is resolved and its resolved target is stat-ed, at baseline composition and at each `tools/post-execute` reconciliation alike. A symlink whose target is a regular file loads that target's content; a resolved non-file target (including a link to a directory) is a confirmed absence that removes the scope like a missing file; a `resolve` or `stat` exception is classified as temporarily unavailable and never removes an already-loaded scope. `nodeStatFile` calls `stat` (host path) and `fsStatFile` calls `resolve` then `stat` (provider path); neither calls `lstat`.
A followed symlink is an ordinary file for every downstream step. It participates in per-directory content dedup ([load-all + dedup note](2026-07-21-instruction-load-all-dedup.md)), so a `CLAUDE.md` that symlinks its sibling `AGENTS.md` now resolves to identical content and collapses like any byte-identical real duplicate instead of being skipped as a special case.
### Trust boundary and residual risk
Following repository-owned links crosses the plugin's trust boundary: a cloned, untrusted repository can carry an `AGENTS.md` whose symlink target is any file the process can read, surfacing off-tree content as workspace guidance. That content enters only as a lower-authority user-role prefix framed by the system-reminder pattern; it never overrides system, developer, or direct user instructions, and it is treated as data, not authority. The mitigating boundary is the filesystem layer, not this plugin: confine `ctx.fs` with the `dsh-fs-policy` gate or an OS sandbox ([cross-family fs sandbox](2026-07-14-cross-family-fs-sandbox.md)) when a deployment loads untrusted repositories. This is an explicit, owner-accepted trade-off, not an oversight.
## Alternatives considered
**Keep the `lstat` no-follow invariant.** Rejected by the repository owner: it blocks the supported symlink-to-canonical-file setup and forces the symlink-mirror case to be a skipped special case rather than a plain duplicate. The read-authority boundary it approximated belongs in the filesystem policy and sandbox layer, which contains the same risk more precisely.
**Follow only the user-global `$DSH_HOME` candidate and keep no-follow for project files.** Rejected: the owner asked for uniform behavior across every scope, and a split rule is harder to reason about than one consistently applied policy plus a documented boundary. A project the user chose to open is not meaningfully more trusted than the user's own home.
**Follow symlinks but reject targets that resolve outside the project root.** Rejected: it reintroduces a partial trust boundary in the wrong layer — path geometry rather than read authority — breaks the legitimate `$DSH_HOME`-to-elsewhere case, and duplicates containment the filesystem policy gate already owns.
## Consequences
A symlinked instruction file is now loaded and rendered like its target, enabling shared canonical instruction files across tools and homes, and the `CLAUDE.md → AGENTS.md` mirror deduplicates through content instead of being skipped. The plugin no longer depends on `ctx.fs.lstat` for instruction loading; a resolved non-file is a confirmed absence and only a provider exception is temporarily unavailable. The trust boundary moves out of this plugin into the filesystem policy and sandbox layers, which must confine `ctx.fs` when a deployment loads untrusted repositories. The [workspace-context note](2026-06-24-workspace-context.md) and the package README carry the same follow behavior and residual-risk statement.

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# Agent Note: 跟随符号链接指向的指令文件
Status: implemented
[English](2026-07-21-follow-instruction-symlinks.md) | 中文
## 问题
[workspace-context 插件](2026-06-24-workspace-context.md)在解析前用 `ctx.fs.lstat` 探测每个指令候选,拒绝任何末段的符号链接,从而使仓库自有的链接无法把指令加载指向工作区之外的内容。这条「不跟随」不变式挡住了一个有意为之、且受支持的配置:用户若把 `$DSH_HOME/AGENTS.md`(或某个项目的 `AGENTS.md`)符号链接到别处保存的一个规范指令文件,以便在多个工具与多个 home 之间共享同一份规范文件,就会看到该链接被悄悄忽略。它还迫使内容去重把无处不在的 `CLAUDE.md → AGENTS.md` 镜像当作一个被跳过的特例来处理,而非一个普通的重复文件。仓库所有者要求在每个 scope 上无条件跟随符号链接指向的指令文件,并接受下文记录的残余信任边界风险。
## 决策
指令发现不再用 `lstat` 检查末段。每个候选(用户全局的 `$DSH_HOME/AGENTS.md`、每个基础候选,以及每个本地覆盖候选)都会被解析,并对其解析后的目标做 stat,基线组合时与每一轮 `tools/post-execute` 协调时一视同仁。一个目标为常规文件的符号链接会加载该目标的内容;一个解析后的非文件目标(包括指向目录的链接)是被确认的缺失,会像缺失文件一样移除该 scope;一个 `resolve` 或 `stat` 异常被归类为暂时不可用,且从不移除已加载的 scope。`nodeStatFile` 调用 `stat`(宿主路径),`fsStatFile` 先 `resolve` 再 `stat`(提供方路径);两者都不调用 `lstat`。
一个被跟随的符号链接对下游每一步都是普通文件。它参与按目录的内容去重([加载全部并去重 note](2026-07-21-instruction-load-all-dedup.md)),因此一个符号链接指向其同级 `AGENTS.md` 的 `CLAUDE.md` 现在会解析到相同内容,并像任何逐字节相同的真实副本一样被合并,而不再作为特例被跳过。
### 信任边界与残余风险
跟随仓库自有的链接会越过插件的信任边界:一个被克隆的、不受信任的仓库可以携带一个 `AGENTS.md`,其符号链接目标是该进程能读取的任意文件,从而把树外内容作为工作区指导暴露出来。该内容仅作为一条被 system-reminder 模式框定的、较低权限的 user 角色前缀进入;它绝不覆盖 system、developer 或用户的直接指令,并被当作数据而非权限对待。起缓解作用的边界在文件系统层,而非本插件:在部署加载不受信任的仓库时,用 `dsh-fs-policy` 门或一个操作系统沙箱([跨家族 fs 沙箱](2026-07-14-cross-family-fs-sandbox.md))约束 `ctx.fs`。这是一个明确的、由所有者接受的取舍,而非疏漏。
## 备选方案
**保留 `lstat` 的「不跟随」不变式。** 被仓库所有者否决:它挡住了受支持的「符号链接到规范文件」配置,并迫使符号链接镜像场景成为一个被跳过的特例而非普通重复。它所近似的读取权限边界属于文件系统策略与沙箱层,那里能更精确地遏制同一风险。
**只跟随用户全局的 `$DSH_HOME` 候选,项目文件保持不跟随。** 否决:所有者要求在每个 scope 上行为一致,而一条分裂的规则比一条一致应用的策略加一条有文档记录的边界更难推理。用户选择打开的项目并不比用户自己的 home 更值得信任。
**跟随符号链接,但拒绝解析到项目根之外的目标。** 否决:这会在错误的层(路径几何而非读取权限)重新引入一条局部的信任边界,破坏合理的「`$DSH_HOME` 指向别处」场景,并重复文件系统策略门已经拥有的遏制。
## 影响
一个符号链接指向的指令文件现在会像其目标一样被加载和渲染,从而支持在多个工具与多个 home 之间共享规范指令文件,而 `CLAUDE.md → AGENTS.md` 镜像会通过内容去重而非被跳过。指令加载不再依赖 `ctx.fs.lstat`;一个解析后的非文件是被确认的缺失,只有提供方异常才是暂时不可用。信任边界从本插件移出,进入文件系统策略与沙箱层。当部署加载不受信任的仓库时,它们必须约束 `ctx.fs`。[workspace-context note](2026-06-24-workspace-context.md) 与包(package) README 承载相同的跟随行为与残余风险声明。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-instruction-load-all-dedup.md: 4e895b0b7f14600adeaf8742e68eab088e3d6d24
2026-07-21-instruction-load-all-dedup.zh.md: e27c2d2ad6e6fd291dc3344aab6ff96806fe405f

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# Agent Note: Load all instruction candidates with per-directory dedup
Status: implemented
English | [中文](2026-07-21-instruction-load-all-dedup.zh.md)
## Problem
The [workspace-context plugin](2026-06-24-workspace-context.md) resolved one winning file per candidate list per directory: the first existing name in `instructionFileCandidates` won the base slot, and the [local overlay](2026-07-21-local-instruction-overlay.md) added one more winner. But `AGENTS.md` and `CLAUDE.md` routinely coexist in the same directory. In most repositories one is a symlink to the other, so they carry identical content; in repositories mid-migration they are two distinct real files that have drifted apart. First-wins silently dropped the non-winning committed file, so a directory that legitimately carried two distinct instruction files only ever surfaced one — and which one depended on candidate order, not on content. The request was to read both and deduplicate only when they are effectively the same file.
## Decision
Every existing candidate in each list loads — the base list first, then the local list — in configured order. Within one directory, candidates whose content is byte-identical after trimming leading and trailing whitespace collapse to the earliest candidate in that order, and the kept file's original bytes are rendered. Dedup is per-directory rather than global, and symmetric across the base and local lists. Trimming before comparison tolerates a trailing newline or indentation difference between a file and its near-copy while still rendering the survivor verbatim — the "extra safe" comparison the request asked for.
Symlinks now flow through this uniformly. Instruction discovery resolves each candidate and stats its target instead of rejecting a final-component symlink, so a `CLAUDE.md` that symlinks its sibling `AGENTS.md` resolves to identical content and collapses here like any byte-identical real duplicate. Content dedup therefore renders the common symlink-mirror once through the same path as a real copy. The [follow-symlinks note](2026-07-21-follow-instruction-symlinks.md) owns that reversal and its residual trust-boundary risk.
## Scope keys become per-candidate
Each `(directory, candidateName)` pair is now its own logical scope, encoded `directory\u0000candidateName` with a NUL separator that cannot occur in a real path. `candidateScopeKey` / `decodeScopeKey` own the encoding, and `probeScopeInstruction` decodes the candidate name to read exactly that file. This replaces the tier-sentinel scope key the overlay note introduced: a directory no longer has a "base scope" and a "local scope" but one scope per candidate name, so `AGENTS.md` and `CLAUDE.md` in one directory are independent scopes that reconcile separately.
Because a scope now names one fixed file, the previous "candidate switch within a scope" — an `AGENTS.md` scope that fell through to `CLAUDE.md` and recorded the old name in `previousPath` — can no longer occur. `previousPath` was removed from the change record, the serialized `context/message` metadata, and the render text; a change is now either `set`, a same-file `replace`, or a `remove`. Removing one candidate emits a `remove` for that candidate's own scope, leaving a distinct sibling as an independent scope.
Dedup is enforced during reconciliation, not only at baseline composition. Each reconciliation pass rebuilds a per-directory set of kept trimmed-content digests in candidate order, so an unchanged file is removed when an earlier candidate converges on its content, and a newly duplicate sibling is dropped or removed. The version cache stores a `trimmedDigest` beside the full content digest so the fast path can re-evaluate duplication without re-reading content.
## Alternatives considered
**Keep first-wins per candidate list.** Rejected: it silently drops a directory's second committed instruction file and makes the survivor depend on candidate order rather than on whether the files actually differ, which is exactly the surprise the request set out to remove.
**Global, cross-directory dedup.** Rejected: identical boilerplate under two different directories is legitimately in scope for each, and the deeper file must still surface for work under the deeper directory. Collapsing across directories would hide instructions the model should see.
**Compare raw bytes without trimming.** Rejected: an editor that adds a trailing newline, or a copy that reflows indentation, would defeat dedup for files that are the same in substance. Trimming before comparison is the tolerant key the request asked for, and the survivor still renders its original bytes.
**Follow symlinks so a mirror deduplicates through content.** Rejected for this change to preserve the no-follow invariant, then adopted separately: the [follow-symlinks note](2026-07-21-follow-instruction-symlinks.md) reverses that invariant, after which a symlinked mirror is resolved and deduplicated through content exactly like a real duplicate.
## Consequences
A directory with two distinct real instruction files now surfaces both; a directory whose second file merely mirrors the first still renders once, and the ubiquitous symlink case is unchanged. The visible behavior difference is confined to transition repositories that carry two distinct real files. The scope-key shape changed from a tier sentinel to a per-candidate key and `previousPath` disappeared from the durable change metadata; `dsh-session` keeps no compatibility promise for older sessions, so both are free changes. The version cache row grew a `trimmedDigest` field, and reconciliation now compares trimmed content per directory, so an unchanged file can be removed by a sibling's convergence — a transition the [state model](2026-06-24-workspace-context.md) previously could not produce.

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# Agent Note: 加载全部指令候选并按目录去重
Status: implemented
[English](2026-07-21-instruction-load-all-dedup.md) | 中文
## 问题
[workspace-context 插件](2026-06-24-workspace-context.md)在每个目录中为每个候选列表只解析出一个胜出文件:`instructionFileCandidates` 中第一个存在的名字赢得基础槽位,[本地覆盖层](2026-07-21-local-instruction-overlay.md)再追加一个胜出者。但 `AGENTS.md` 与 `CLAUDE.md` 经常共处同一目录。在多数仓库里其中一个是另一个的符号链接,因此内容完全相同;在迁移中的仓库里它们则是两个已经产生分歧的、彼此独立的真实文件。先到先得会悄悄丢弃未胜出的已提交文件,于是一个合理地携带两个不同指令文件的目录最终只暴露其中一个——而暴露哪一个取决于候选顺序,而非内容。需求是把两者都读取,仅在它们实质上是同一文件时才去重。
## 决策
每个列表中每个存在的候选都会被加载——先基础列表,再本地列表——按配置顺序进行。在同一目录内,内容在去除首尾空白后逐字节相同的候选会合并到该顺序中最靠前的候选,并渲染被保留文件的原始字节。去重是按目录进行的,而非全局,并且在基础列表与本地列表之间对称。比较前先做去空白处理,可以容忍某文件与其近似副本之间的末尾换行或缩进差异,同时仍逐字节渲染保留下来的文件——这正是需求所要求的「格外稳妥」的比较。
符号链接现在会统一经此流转。指令发现会解析每个候选并对其目标做 stat,而非拒绝末段的符号链接,因此一个符号链接指向其同级 `AGENTS.md` 的 `CLAUDE.md` 会解析到相同内容,并在此像任何逐字节相同的真实副本一样被合并。因此内容去重会通过与真实副本相同的路径把常见的符号链接镜像只渲染一次。[跟随符号链接 note](2026-07-21-follow-instruction-symlinks.md) 拥有该反转决策及其残余的信任边界风险。
## scope 键改为按候选划分
现在每个 `(directory, candidateName)` 对都是各自独立的逻辑 scope,编码为 `directory\u0000candidateName`,其中 NUL 分隔符在真实路径中不可能出现。`candidateScopeKey` / `decodeScopeKey` 负责这套编码,`probeScopeInstruction` 则解码候选名以精确读取该文件。这取代了覆盖层 note 引入的层级哨兵 scope 键:一个目录不再有「基础 scope」和「本地 scope」,而是每个候选名一个 scope,因此同一目录中的 `AGENTS.md` 与 `CLAUDE.md` 是各自独立协调的 scope。
由于一个 scope 现在只对应一个固定文件,此前的「同一 scope 内的候选切换」——即一个 `AGENTS.md` scope 回退到 `CLAUDE.md` 并把旧名字记录在 `previousPath` 中——不再可能发生。`previousPath` 已从变更记录、序列化的 `context/message` 元数据以及渲染文本中移除;一次变更现在要么是 `set`、要么是同一文件的 `replace`、要么是 `remove`。移除某个候选会为该候选自己的 scope 发出一个 `remove`,而把不同的同级文件留作独立的 scope。
去重在协调过程中强制执行,而不仅仅在基线组合时。每一轮协调都会按候选顺序重建一个按目录的「已保留去空白摘要」集合,因此当更靠前的候选收敛到某文件的内容时,一个未变更的文件也会被移除,而新出现的重复同级文件会被丢弃或移除。版本缓存在完整内容摘要之外还存储一个 `trimmedDigest`,使快速路径无需重新读取内容即可重新判定是否重复。
## 备选方案
**每个候选列表保持先到先得。** 否决:这会悄悄丢弃一个目录的第二个已提交指令文件,并使胜出者取决于候选顺序、而非文件是否真的不同,而这恰恰是需求要消除的意外。
**全局的、跨目录的去重。** 否决:两个不同目录下相同的样板内容对各自而言都合理地在作用域内,而更深层的文件对于该更深目录下的工作仍必须暴露。跨目录合并会隐藏模型本应看到的指令。
**不做去空白、直接比较原始字节。** 否决:一个添加末尾换行的编辑器,或一个重排缩进的副本,都会让实质相同的文件无法去重。比较前去空白正是需求所要求的宽容键,而保留下来的文件仍渲染其原始字节。
**跟随符号链接,从而让镜像通过内容去重。** 为本次改动否决以保留「不跟随」不变式,随后另行采纳:[跟随符号链接 note](2026-07-21-follow-instruction-symlinks.md) 反转了该不变式,此后符号链接镜像会被解析,并像真实副本一样通过内容去重。
## 影响
一个携带两个不同真实指令文件的目录现在会把两者都暴露;一个第二个文件仅仅是镜像的目录仍只渲染一次,而无处不在的符号链接场景保持不变。可见的行为差异被限定在携带两个不同真实文件的迁移期仓库中。scope 键的形态从层级哨兵改为按候选划分,`previousPath` 也从持久的变更元数据中消失;`dsh-session` 对旧会话不作兼容承诺,因此两者都是无成本的改动。版本缓存行新增了一个 `trimmedDigest` 字段,协调过程现在按目录比较去空白后的内容,因此一个未变更的文件可以被同级文件的收敛所移除——这是[状态模型](2026-06-24-workspace-context.md)此前无法产生的转换。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-local-instruction-overlay.md: 3c7b2141b0515b5e667be4add6ad765e26c88cd8
2026-07-21-local-instruction-overlay.zh.md: 0fd45cfcdaf6db1ea6cb0746c8d8cfb3e86c76d7

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# Agent Note: Default local instruction overlay
Status: implemented
English | [中文](2026-07-21-local-instruction-overlay.zh.md)
## Problem
Personal, git-ignored guidance (`AGENTS.local.md` / `CLAUDE.local.md`) is a Claude Code convention for per-developer overrides that are deliberately not committed. The [workspace-context plugin](2026-06-24-workspace-context.md) loaded only one candidate per directory, so a `.local.` name could only be reached by adding it to `instructionFileCandidates`, where — because a directory has one winner — it would *shadow* the committed base file instead of supplementing it. That inverts the additive "base plus personal overlay" model the names evoke, and it was off by default.
## Decision
The plugin loads a second, independent candidate list per project directory. `localInstructionFileCandidates` defaults to `['AGENTS.local.md', 'CLAUDE.local.md']` and is resolved with the same same-directory validation as `instructionFileCandidates`. In every project directory from the root to the session cwd, the plugin loads the base candidates and then, additively, the local candidates; the local files are ordered after the base files so their guidance takes precedence within the byte budget. Both lists load in full under [per-directory content dedup](2026-07-21-instruction-load-all-dedup.md). An empty `localInstructionFileCandidates` disables the overlay.
The default lives in the plugin `Config` schema rather than a product `cordis.yml`, so every embedder (TUI, ACP, headless) reads `.local.` files consistently and a deployment overrides or disables the behavior in one place. This is symmetric with the plugin-owned `instructionFileCandidates` default.
The fixed user-global `$DSH_HOME/AGENTS.md` has no local overlay and stays base-only.
## Independent scopes per candidate
The base and local candidates in one directory must stay independent across baseline freezing, the pending window, the version cache, and reconciliation, so a change to one never suppresses the other. Each `(directory, candidateName)` pair is its own scope key — see [per-candidate scope keys](2026-07-21-instruction-load-all-dedup.md), which replaced the earlier base/local tier sentinel. Discovery iterates the base list and then the local list in each project directory, `reconcileInstructionContext` enumerates every configured candidate per directory, and `probeScopeInstruction` decodes the candidate name to read exactly that file. The model-facing prompt derives its human directory label from the file display path, so the scope key never reaches the model.
## Alternatives considered
**Higher-priority first-wins (`.local.` loaded instead of the base file).** Rejected: a personal overlay that replaces the committed file drops shared project guidance whenever the overlay exists, which is the opposite of the additive Claude Code model.
**Keep it opt-in through `instructionFileCandidates`.** Rejected: one directory has a single winner, so a `.local.` name added to that list shadows the base file rather than supplementing it. The packages guidance to keep opt-ins out of shipped defaults is outweighed here by strong prior art and the user-facing expectation that `.local.` files are always read.
**Default at the product `cordis.yml` level instead of the plugin schema.** Rejected: it would enable `.local.` only for whichever front door remembered to opt in, splitting behavior across TUI/ACP/headless and duplicating a value that belongs beside the existing candidate default.
**Reuse the bare directory as the scope key for base and local files.** Rejected: base and local files in one directory would collide in every scope-keyed map, so a change to one would suppress or overwrite the other. A distinct scope key per candidate keeps them independent without widening the persisted metadata shape.
**Extend the overlay to the user-global scope.** Deferred: `$DSH_HOME` is a single fixed `AGENTS.md` with no committed base to supplement, so it stays base-only until a concrete need appears.
## Consequences
`.local.` guidance is read by default across all products with no per-deployment configuration, matching neighboring tools. Each project directory can contribute a durable scope per existing candidate rather than one, so dynamic discovery, edits, and removals reconcile the base and local files independently. The scope key is now [per-candidate](2026-07-21-instruction-load-all-dedup.md); `dsh-session` keeps no compatibility promise for older sessions, so this is a free change. The user-global scope remains base-only, recorded as a Known Limitation in the package README.

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# Agent Note: 默认的本地指令覆盖层
Status: implemented
[English](2026-07-21-local-instruction-overlay.md) | 中文
## 问题
个人的、被 git 忽略的指导文件(`AGENTS.local.md` / `CLAUDE.local.md`)是 Claude Code 的一项约定,用于存放刻意不提交、每位开发者各自的覆盖内容。[workspace-context 插件](2026-06-24-workspace-context.md)每个目录只加载一个候选,因此只有把某个 `.local.` 名字加进 `instructionFileCandidates` 才能读到它;而由于一个目录只有一个胜出者,这样做只会让它*遮蔽*已提交的基础文件,而不是补充它。这与这些名字所暗示的「基础文件加个人覆盖层」的叠加模型正好相反,而且它默认是关闭的。
## 决策
插件为每个项目目录额外加载第二个独立的候选列表。`localInstructionFileCandidates` 默认为 `['AGENTS.local.md', 'CLAUDE.local.md']`,并与 `instructionFileCandidates` 采用相同的同目录校验来解析。在从项目根到会话 cwd 的每个项目目录中,插件先加载基础候选,然后叠加加载本地候选;本地文件排在基础文件之后,因此在字节预算之内其内容优先级更高。两个列表都会在[按目录内容去重](2026-07-21-instruction-load-all-dedup.md)之下完整加载。将 `localInstructionFileCandidates` 置空即可关闭该覆盖层。
该默认值定义在插件的 `Config` schema 中,而非某个产品的 `cordis.yml` 里,因此每个嵌入方(TUI、ACP、headless)读取 `.local.` 文件的行为一致,部署方也可以在一处覆盖或关闭该行为。这与插件自身持有的 `instructionFileCandidates` 默认值保持对称。
固定的用户全局文件 `$DSH_HOME/AGENTS.md` 没有本地覆盖层,始终只有基础文件。
## 每个候选各自独立的 scope
同一目录下的基础候选与本地候选,在基线冻结、待定窗口、版本缓存和协调过程中都必须彼此独立,因此对其中一个的改动绝不能抑制另一个。现在每个 `(directory, candidateName)` 对都是各自独立的 scope 键——参见[按候选划分的 scope 键](2026-07-21-instruction-load-all-dedup.md),它取代了此前基础/本地的层级哨兵。发现过程在每个项目目录中先遍历基础列表、再遍历本地列表,`reconcileInstructionContext` 为每个目录枚举每个配置的候选,`probeScopeInstruction` 则解码候选名以精确读取该文件。面向模型的提示词从文件的展示路径推导出供人阅读的目录标签,因此 scope 键永远不会到达模型。
## 备选方案
**更高优先级的先到先得(加载 `.local.` 而非基础文件)。** 否决:一个会替换已提交文件的个人覆盖层,会在覆盖层存在时丢弃共享的项目指导,这与 Claude Code 的叠加模型正好相反。
**通过 `instructionFileCandidates` 保持按需开启。** 否决:一个目录只有一个胜出者,因此加进该列表的 `.local.` 名字会遮蔽基础文件,而非补充它。packages 指引要求把按需开启项排除在出厂默认之外,但此处强有力的现有实践、以及用户对 `.local.` 文件总会被读取的预期,压过了这一考量。
**在产品 `cordis.yml` 层面设默认,而非在插件 schema 中。** 否决:这样只会为记得开启的那个前门启用 `.local.`,从而在 TUI/ACP/headless 之间割裂行为,并重复一个本应与既有候选默认值放在一起的取值。
**两个层级复用原始目录作为 scope 键。** 否决:同一目录下的基础文件与本地文件会在每个以 scope 为键的映射中冲突,于是对其中一个的改动会抑制或覆盖另一个。为每个候选设置各自独立的 scope 键让两者保持独立,且无需扩展持久化的元数据结构。
**将覆盖层扩展到用户全局 scope。** 暂缓:`$DSH_HOME` 是单个固定的 `AGENTS.md`,没有可供补充的已提交基础文件,因此在出现具体需求前始终只有基础文件。
## 影响
`.local.` 指导在所有产品中默认被读取,无需按部署单独配置,与邻近工具保持一致。每个项目目录可以为每个存在的候选贡献一个持久 scope 而非仅一个,因此动态发现、编辑和移除会分别独立地协调基础文件与本地文件。scope 键现在[按候选划分](2026-07-21-instruction-load-all-dedup.md);`dsh-session` 对旧会话不作兼容承诺,因此这是一次无成本的改动。用户全局 scope 仍然只有基础文件,这一点作为 Known Limitation 记录在包 README 中。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-log-backed-session-titles.md: cd0d2a4bab9b6504c65e942c0e03bce79488364e
2026-07-21-log-backed-session-titles.zh.md: b90ac6c59677e6542733210b91de38ef1169c760

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# Agent Note: Log-backed session titles
Status: implemented
English | [中文](2026-07-21-log-backed-session-titles.zh.md)
## Problem
A session needs a short human-facing title before an editor, terminal, or query consumer can present it usefully. The cheapest implementation can derive one from the first prompt, while higher-quality implementations may call a model over the first prompt or the whole conversation. Those strategies have different latency, cost, routing, and retry behavior, but every consumer needs one durable source of truth.
Session identity metadata is immutable, the event log is the replay and fork boundary, and every event must remain turn-enclosed. A model-generated title often finishes after the main turn closes, so writing it synchronously would delay the agent response while writing it as mutable metadata would bypass ordinary persistence, replay, and lineage semantics. Concurrent prompts, provider HMR, cancellation, and ignored abort signals also make an unfenced background result capable of overwriting a newer title.
## Decision
The [`session-title` capability family](../../../../packages/session-title/README.md) owns title state and generation policy. `@deepseek-ai/dsh-session-title` provides `ctx.sessionTitle`, a deterministic first-message fallback, and a registry for at most one optional asynchronous provider. `@deepseek-ai/dsh-session-title-llm` owns the common auxiliary-model request policy; separate first-message and all-user-messages plugins choose input cadence. The shared agent spine mounts only the fallback service with overridable explicit example limits, leaving both model providers opt-in.
### Event ownership and folding
Every accepted revision is a log-only `session/title` event. Its payload contains normalized non-empty text, the exact eligible human `user/message` seqs used to derive it, and either fallback provenance or the registered provider id plus optional provider/model route. Before an auxiliary title-model dispatch, the shared helper appends a log-only `session/title-llm-request` event containing the title-provider id, exact source seqs, route, system prompt, messages, and output-token cap; a later generation failure leaves the request auditable. The dispatched envelope is deep-frozen to preserve exact agreement with that record but carries no process-local agent-loop request identity, so loop-only reconstruction checks do not compare it with the main conversation header. Validation failures that never reach dispatch create no request event. `foldSessionTitle()` selects the latest title event and adds that event's seq and timestamp as `SessionTitleSnapshot`. Neither event enters `session.surface` or `deriveMessages()`.
The core session package exposes `ctx.sessions.appendOutOfBand()` only for plugin event types whose owners also declaration-merge an `OutOfBandSessionEventMap` marker. An open turn receives the log-only event directly and owns its normal checkpoint. A closed log receives `turn/start → event → turn/end` under the plugin's trigger, followed by an awaited flush. Once the synthetic turn opens, target-append failure still attempts to close and flush it; detach is deferred until the sequence settles. Session titles contribute the source-free `session-title` zero-step trigger and opt both title event types into this seam. No message caused that trigger, so consumers of the merge-extensible `TurnTriggerMap` discriminate `kind` before reading variant fields; goal-round admission, for example, ignores every non-`message` trigger.
### Input and asynchronous timing
Only text blocks from human-source `user/message` events are eligible. Empty, control-only, and non-text prompts wait for the next eligible message. The service schedules the first fallback without awaiting it from the prompt path, normalizes whitespace and control sequences, applies the configured word and UTF-8 byte limits without splitting a code point, and records the first message seq.
Automatic provider work starts only after the main loop has a current logged provider/model route. A newly appended `request/header` starts pending work directly; when the header is unchanged, the marked loop-built `llm/stream` request starts it after matching the folded route. Generation then runs independently of the agent response, and a completion joins whichever turn is open at acceptance time or uses the zero-step append path. Explicit `refresh(session, signal?)` materializes any missing fallback and awaits the registered provider; without a provider it returns the fallback. Caller cancellation during fallback flush does not roll back the durable append, but `refresh()` rechecks the signal and rejects instead of returning success. Concurrent refreshes reserve their session-local revision before waiting for fallback durability, so a newer call supersedes an older call before either can invert provider completion order. Automatic work and concurrent refreshes share one session-local in-flight fallback promise, so the first fallback creates only one title event and zero-step turn. All title-capability out-of-band writes share a per-session settlement queue; a replacement model request waits for any earlier title write, while the superseded model call itself remains independently abortable and cannot commit stale output. A title accepted during asynchronous compaction remains log-only, so the compactor's post-summary surface-node check tolerates it; a concurrent surface mutation still invalidates the replacement.
The first-message provider schedules once when a fresh session first creates its fallback. An automatic failure does not reschedule on later prompts; `refresh()` is the retry path. The all-messages provider schedules after every eligible human prompt and passes all eligible messages through that revision, including seeded history. Its newer revision aborts and supersedes older pending or active work.
### Registration, routing, and failure policy
`register(provider)` validates one branded stable id, cadence, and generation function, then returns an awaitable effect disposer. A second live registration throws immediately. Provider disposal marks the registration closing, aborts its pending and active work, and waits for every call to settle before removing the registration, so replacement cannot overlap a provider that ignores cancellation. Session disposal aborts its active work. Service teardown prevents queued fallback and provider microtasks from starting, aborts active work, and drains tracked promises before unloading completes. Every session-local generation has a monotonic revision and exact registration identity; acceptance rechecks revision, registration, session liveness, service liveness, and cancellation, so stale output cannot commit.
Model providers require explicit word, CJK-character, input-byte, output-token, and timeout limits. Optional `provider` and `model` overrides are a pair; without them the helper uses the exact route from the logged main request header. Selected messages are framed as JSON under one fixed language-aware instruction. The input limit measures that final user prompt, including wrappers, seq fields, and JSON escaping, before the request is logged or dispatched. Oversized input is rejected rather than truncated because truncation would make the recorded source seqs falsely imply complete use. The fused deadline is checked while consuming each stream chunk and after completion, so a successful result returned after timeout cannot be accepted even when an interceptor or adapter ignores abort.
Automatic provider failures are nonfatal warnings and retain the latest title. Explicit refresh failures reject to the caller. Output must be non-empty text with unique ordered seqs drawn from the fixed request; the service normalizes and byte-limits it before durable acceptance.
### Forks and consumers
A fork inherits seed title events unchanged, like the rest of its source log. The first-message provider does not automatically retitle a fork. The all-messages provider may append a child-owned revision after a later child prompt, using inherited and new eligible messages.
`ctx.sessionQuery.readTitle()` folds one live-preferred or persisted log without loading titles during `listSessions()`. ACP maps the event to `session_info_update` during both live streaming and load replay, using the event timestamp for `updatedAt`. The TUI uses the latest title as its header subtitle and sets the terminal window title to `<session title> — <configured product title>` after terminal-safe rendering. A synthetic title turn remains a completed durability boundary for the metadata write; consumers reporting agent completion use the core `findLastMessageTurnEnd()` fold so a later title, injection, or other plugin-owned turn cannot replace the preceding message-triggered outcome.
## Alternatives considered
- **Mutable `SessionHeader` or side metadata** — rejected because it creates a second persistence mutation protocol, weakens immutable identity metadata, makes crash atomicity backend-specific, and gives forks ambiguous copy-versus-reference behavior. The append-only log already owns replayable latest-wins state.
- **Await title generation before returning the agent response** — rejected because auxiliary provider latency and failure would sit on the main interaction's critical path. The deterministic fallback gives immediate useful state while a better title may arrive later.
- **Put titles in derived history or the request prefix** — rejected because UI metadata would consume tokens, change cache identity, and make the main model observe its own label. A log-only event remains reconstructable without becoming model-visible.
- **Permit multiple registered providers and resolve precedence after completion** — rejected because completion order is not product precedence and would make retries, HMR, and provenance nondeterministic. A deployment that needs a composite policy can register one provider that owns that policy.
- **Silently truncate oversized auxiliary input** — rejected because the provider result would claim exact source-message provenance while receiving only partial text. Keeping the prior title and warning preserves truthful attribution.
- **Index titles in `listSessions()` immediately** — rejected because the existing lightweight metadata list would need per-backend derived-index synchronization. Exact `readTitle()` establishes the read contract without precommitting search or indexing policy.
## Consequences
- Titles survive JSONL and SQLite persistence, replay through ACP, and follow fork inheritance without a separate mutable record.
- A fallback appears without an auxiliary call; deployments choose whether better titles justify model cost and whether later prompts should retitle a session.
- Auxiliary request records and late accepted titles consume event seqs and may create balanced zero-step turns, so persistence exposes both attempted dispatches and accepted updates even though model history and KV-cache identity do not change.
- One provider and monotonic per-session revisions make disposal, supersession, and stale-result rejection explicit, at the cost of leaving multi-strategy precedence to a composite provider.
- Manual rename, deletion, generated-versus-user precedence, search, and list indexing remain outside the capability.

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# Agent Note: 基于日志的会话标题
Status: implemented
[English](2026-07-21-log-backed-session-titles.md) | 中文
## 问题
会话需要一个面向用户的简短标题,编辑器、终端或查询消费方才能有效呈现它。成本最低的实现可以从第一条提示词派生标题,质量更高的实现则可以让模型处理第一条提示词或整个对话。这些策略在延迟、成本、路由和重试行为上各有不同,但所有消费方都需要一个持久的真源。
会话身份元数据不可变,事件日志是回放和 fork 的边界,而且每个事件都必须包围在轮次内。模型生成的标题往往在主轮次结束后才完成,因此同步写入会延迟 agent(智能体)响应,而作为可变元数据写入则会绕过常规的持久化、回放和沿袭语义。并发提示词、提供方 HMR(热模块替换)、取消以及被忽略的中止信号,还可能让未受版本校验约束的后台结果覆盖更新的标题。
## 决策
[`session-title` 功能包族](../../../../packages/session-title/README.md)负责标题状态和生成策略。`@deepseek-ai/dsh-session-title` 提供 `ctx.sessionTitle`、确定性的首消息回退方案,以及一个至多接受单个可选异步提供方的注册表。`@deepseek-ai/dsh-session-title-llm` 负责通用的辅助模型请求策略;首消息插件和全部用户消息插件分别选择输入调度方式。共享 agent 主干只挂载回退服务,并为其显式设置可覆盖的示例限制;两种模型提供方均需按需启用。
### 事件归属与折叠
每个已接受的修订都是纯日志 `session/title` 事件。其载荷包含规范化后的非空文本、用于派生标题的所有合格且来源为人类的 `user/message` 的准确 seq,以及回退来源信息,或已注册的提供方 id 加可选的提供方和模型路由。辅助标题模型发起调用前,共享辅助组件会追加一个纯日志 `session/title-llm-request` 事件,其载荷包含标题提供方 id、准确的源 seq、路由、系统提示词、消息和输出 token 上限;即使后续生成失败,这次请求仍可审计。发送的请求信封经过深度冻结,以确保其与该记录精确一致,但它有意不携带进程本地的 agent loop(智能体循环)请求身份,因此仅针对 agent loop 的重建检查不会将它与主对话请求头进行比较。未进入调用阶段的验证失败不会创建请求事件。`foldSessionTitle()` 选择最新的标题事件,并将该事件的 seq 和时间戳加入 `SessionTitleSnapshot`。这两类事件都不会进入 `session.surface` 或 `deriveMessages()`。
核心会话包通过 `ctx.sessions.appendOutOfBand()` 暴露这一接口,但只允许所属插件同时通过声明合并向 `OutOfBandSessionEventMap` 添加标记的插件事件类型使用。开放轮次会直接接收纯日志事件,并负责其常规检查点。已关闭的日志会在该插件的触发器下接收 `turn/start → event → turn/end`,随后等待刷写完成。合成轮次一旦开启,即使目标追加失败,系统仍会尝试将其关闭并刷写;整个序列完成前会延迟 detach。会话标题提供不带消息来源的 `session-title` 零步骤触发器,并让这两类标题事件都使用这一服务边界。该触发器并非由消息引起,因此可合并扩展的 `TurnTriggerMap` 的消费方在读取变体字段前,会先根据 `kind` 判别类型;例如,目标轮次准入会忽略所有非 `message` 触发器。
### 输入与异步时序
只有人类来源的 `user/message` 事件中的文本块才符合条件。空提示词、仅含控制字符的提示词和非文本提示词会等待下一条合格消息。服务从提示词路径调度首个回退标题而不等待其完成,随后规范化空白和控制序列,应用已配置的单词数和 UTF-8 字节限制且不拆分代码点,并记录第一条消息的 seq。
仅当主循环存在已记录在日志中的当前提供方/模型路由时,自动提供方工作才会启动。`request/header` 新追加到日志时,会直接启动待执行工作;如果请求头没有变化,则由循环构建并带有标记的 `llm/stream` 请求会先与折叠所得的路由匹配,再启动该工作。随后,生成工作独立于 agent 响应运行;完成结果在被接受时加入当时开放的轮次,否则使用零步骤追加路径。显式调用 `refresh(session, signal?)` 会生成尚缺的回退标题并等待已注册的提供方;没有提供方时则返回回退标题。调用方在回退标题刷写期间取消调用不会回滚这次持久化追加,但 `refresh()` 会重新检查取消信号,并让调用以拒绝结束,而非返回成功。并发刷新会在等待回退标题持久化完成前预留会话本地修订号,因此在任何调用有机会造成提供方完成顺序倒置之前,较新的调用就会取代较早的调用。自动工作与并发刷新在每个会话内共用同一个进行中的回退 promise,因此首次回退只会创建一个标题事件和一个零步骤轮次。会话标题功能产生的所有带外写入在每个会话内共用一个结算队列;接替执行的模型请求会等待任何更早的标题写入完成,而被取代的模型调用本身仍可独立中止,且无法提交陈旧输出。异步压缩(compaction)期间接受的标题仍是纯日志事件,因此压缩器在摘要完成后执行的表层节点检查不会因该标题而失败;并发的表层变更仍会使替换失效。
首消息提供方仅在新会话首次创建回退标题时调度一次。自动执行失败后,后续提示词不会重新调度;`refresh()` 是重试路径。全部消息提供方会在每条合格且由人类发出的提示词后调度,并传入截至该修订的所有合格消息,包括预置历史记录。较新的修订会中止并取代更早的待执行或活跃工作。
### 注册、路由与失败策略
`register(provider)` 会验证一个带品牌类型的稳定 id、执行时机和生成函数,然后返回一个可等待完成的 effect 资源释放函数。第二个活跃注册会立即抛出错误。提供方执行资源释放时,会将注册标记为正在关闭,中止其待执行和活跃工作,并等待所有调用结束后才移除注册,因此替代提供方不会与忽略取消的旧提供方重叠运行。会话资源释放会中止其活跃工作。服务卸载时,会阻止排队中的回退和提供方微任务启动,中止活跃工作,并且卸载完成前会等待所有已跟踪的 promise 结算。每项会话本地生成都有单调递增的修订号和对应的注册身份;接受结果时会重新检查修订号、注册、会话活跃状态、服务活跃状态和取消状态,因此陈旧输出无法提交。
模型提供方必须显式配置单词数、CJK 字符数、输入字节数、输出 token 数和超时限制。可选的 `provider` 和 `model` 覆盖项必须成对提供;两者均未提供时,辅助组件会使用主请求已记录请求头中的准确路由。系统在一条固定且能区分语言的指令下,将选中的消息封装为 JSON。输入字节数按最终形成的用户提示词计算,其中包括包装文本、seq 字段和 JSON 转义;系统会在记录请求或发起调用前完成这项检查。过大输入会被拒绝而不是截断,因为截断会让记录的源消息 seq 错误地表示这些消息已被完整使用。系统在消费每个流分片时以及流完成后都会检查融合后的截止时间,因此即使拦截器或适配器忽略中止信号,超时后返回的成功结果也不会被接受。
自动提供方故障只会发出非致命警告,并保留最新标题。显式刷新失败则会向调用方返回拒绝。输出必须是非空文本,并包含来自固定请求、唯一且有序的 seq;服务会在持久接受前对其进行规范化并施加字节限制。
### Fork 与消费方
与源日志的其他部分相同,fork 会原样继承作为种子的标题事件。首消息提供方不会自动为 fork 重新生成标题。全部消息提供方可以在子会话出现后续提示词后追加一项归子会话所有的修订,并使用继承的合格消息和新增的合格消息。
`ctx.sessionQuery.readTitle()` 会折叠一份实时优先或已持久化的日志,而不会在 `listSessions()` 期间加载标题。ACP(Agent Client Protocol)会在实时流式输出和加载回放期间把该事件映射到 `session_info_update`,并使用事件时间戳作为 `updatedAt`。TUI 使用最新标题作为其标题栏副标题,并在完成终端安全渲染后,将终端窗口标题设置为 `<session title> — <configured product title>`。合成标题轮次本身仍会完成,并作为元数据写入的持久性边界;报告 agent 完成情况的消费方使用核心的 `findLastMessageTurnEnd()` 折叠逻辑,因此后续的标题轮次、注入轮次或其他归插件所有的轮次无法取代此前由消息触发的结果。
## 考虑过的替代方案
- **可变 `SessionHeader` 或独立元数据**:不予采纳,因为这会创建第二套持久化变更协议,削弱不可变身份元数据,让崩溃原子性因后端而异,并使 fork 的复制或引用行为产生歧义。仅追加日志已经负责可回放的后写覆盖状态。
- **返回 agent 响应前等待标题生成**:不予采纳,因为辅助提供方的延迟和故障会进入主交互的关键路径。确定性回退方案可以立即提供可用状态,质量更高的标题则可稍后到达。
- **将标题放入派生历史记录或请求前缀**:不予采纳,因为 UI 元数据会消耗 token、改变缓存标识,并让主模型观察到自己的标签。纯日志事件既保持可重建,又不会变得对模型可见。
- **允许注册多个提供方,并在完成后解析优先级**:不予采纳,因为完成顺序并不等于产品优先级,而且会让重试、HMR 和来源信息变得不确定。需要组合策略的部署可以注册一个自行负责该策略的提供方。
- **静默截断过大的辅助输入**:不予采纳,因为提供方结果会声明准确的源消息来源信息,实际却只接收了部分文本。保留原有标题并发出警告,可以保持归因真实。
- **立即在 `listSessions()` 中索引标题**:不予采纳,因为现有的轻量元数据列表将需要逐后端同步派生索引。精确的 `readTitle()` 建立了读取契约,而没有提前锁定搜索或索引策略。
## 后果
- 标题可以在 JSONL 和 SQLite 持久化中存续,通过 ACP 回放,并遵循 fork 继承语义,而无需单独的可变记录。
- 回退标题无需辅助调用即可出现;部署方可以自行决定更优标题是否值得模型成本,以及后续提示词是否需要重新生成会话标题。
- 辅助请求记录和延迟接受的标题会占用事件 seq,并可能创建平衡的零步骤轮次,因此持久化会同时呈现尝试发起的调用与已接受的更新,尽管模型历史和 KV 缓存标识保持不变。
- 单个提供方和每会话单调递增的修订号让释放、取代和陈旧结果拒绝行为明确可见,但多策略优先级必须由复合提供方负责。
- 手动重命名、删除、生成标题与用户标题的优先级、搜索和列表索引不在此功能范围内。

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-21-tui-auto-pane-title.md: 069fd33a8874d9ad3d4472dd13f5130b2df65f08
2026-07-21-tui-auto-pane-title.zh.md: 580f36b2563e21231a22cab3f0c1689c6f3e8d9d

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# Agent Note: Auto-titled terminal from the first message
Status: implemented
English | [中文](2026-07-21-tui-auto-pane-title.zh.md)
> **Superseded** by the [session-title consolidation Agent Note](../simplification/2026-07-22-tui-titles-from-session-title-service.md): the TUI-local `autoTitle` generation is removed; titles come from the log-backed session-title service, and the terminal rename consumes `session/title` events.
> **Superseded** for the default and the resume behavior by the [auto-title default-on Agent Note](2026-07-21-tui-auto-title-default-on.md): `autoTitle` now defaults on, and a resumed session re-derives its title from the stored first message instead of keeping the static one. The OSC 0 path, the one-shot latch, the model-summary shape, the fire-and-forget call, and every failure fallback below stand.
## Problem
The TUI's terminal title is a single static string (`title`, default `DeepSeek Harness`) shared by every session. A user who runs one agent per tmux pane or terminal tab sees the same label on all of them, so panes are indistinguishable at a glance and the tab bar carries no signal about what each session is doing.
## Decision
- `TuiConfig` gains an `autoTitle` boolean (default `false`). When it is on, the TUI issues one background model call after the first user message of a fresh session and replaces the terminal title with a short, model-generated label; the static `title` is the pre-title and the fallback.
- The label is a model summary, not a truncation of the prompt. The request carries a fixed task instruction (summarize the request as a short title of two to five lowercase words, no punctuation) plus the user's first message and no tools; the TUI takes the first non-empty line of the reply and caps it at 40 characters (39 plus an ellipsis).
- The title is set through `runtime.terminal.setTitle`, the same OSC 0 path the static `title` already uses. No new terminal-control surface is introduced, and pi-tui keeps ownership of terminal writes.
- The call is fire-and-forget and one-shot per session. A `titleSettled` latch guards it: with `autoTitle` off it is pre-settled and never runs; on a resumed session whose first `user/message` is already logged it is pre-settled so the static title stands; a whitespace-only first message is skipped without consuming the slot. Any failure, an empty reply, a missing `llm` service, or a missing agent provider/model leaves the static title untouched. A dedicated `AbortController` cancels an in-flight request on shutdown.
- The title call reaches `ctx.llm.stream` directly rather than through `agent.send`, so it never appends to the session or transcript and cannot perturb the agent loop.
- The feature defaults off and is enabled only in the interactive product config (`examples/tui-agent/cordis.yml`) and the scripted PTY fixture. Enabling it in the shared `dsh-tui-demo` schema default would fire an extra model call in keyless replay and boot scenarios that send no user message.
## Alternatives considered
**Truncate the first user message instead of a model title.** Rejected: the user chose a short model-made label; a truncated raw prompt is noisy, often begins with boilerplate, and rarely reads as a title.
**Rename the window (OSC 2) or the tmux window.** Rejected: OSC 0 sets only `pane_title`, so it labels the pane without renaming or leaking into the user's window title; the user confirmed OSC is the right lever.
**Default the feature on.** Rejected: enabling it in the shared demo schema perturbs keyless replay and boot snapshots and spends a model call on every fresh session; opt-in per deployment keeps the default surface inert.
**Fold this into the log-backed session-title work (PR #451).** Rejected: that change is session metadata persisted to the log; this is a terminal label with no persistence. Keeping them independent leaves each self-contained and avoids a shared dependency.
**Block the first turn until the title resolves.** Rejected: awaiting the title before sending the user's message adds latency to the actual request; fire-and-forget makes the rename invisible to the turn.
## Consequences
- When enabled, a fresh session spends one extra, tool-less model call with a single short user message and a few output tokens; off by default, it costs nothing.
- Because the title call stamps `sessionId`, it shares the session's `llm-replay` cursor: enabling `autoTitle` in a replay-backed snapshot scenario would consume a recorded script entry. This is why the default is off and the scripted PTY fixture answers the call with a tool-branching adapter rather than replay.
- `packages/ui/tui/tests/tui.spec.ts` pins the behavior with a mock `llm` adapter: a generated title replaces the static one, over-long output is truncated with an ellipsis, a whitespace-only first message keeps the one-shot slot, empty or failing replies leave the title, a resumed session never fires, and the feature-off / no-service / missing-provider / missing-model paths keep the static title. A shutdown test asserts the in-flight request is aborted.
- `examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` proves the real Loader-booted path: the scripted adapter answers the tool-less title call with a fixed string, and the conversation scenario asserts the OSC 0 sequence reaches the PTY. Boot scenarios send no user message, so they never fire the call.

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# Agent Note: 从首条消息自动命名终端
Status: implemented
[English](2026-07-21-tui-auto-pane-title.md) | 中文
> **已被取代**:见[标题归一 Agent Note](../simplification/2026-07-22-tui-titles-from-session-title-service.md)。TUI 本地的 `autoTitle` 生成已移除;标题来自日志承载的 session-title 服务,终端重命名消费 `session/title` 事件。
> **已被取代**(就默认值与恢复行为而言),见[自动标题默认开启 Agent Note](2026-07-21-tui-auto-title-default-on.md):`autoTitle` 现默认开启,恢复会话会从已存储的首条消息重新推导标题,而非保留静态标题。下文的 OSC 0 路径、一次性门闩、模型概括形态、发出后不等待其返回的调用,以及每一条失败兜底,均仍然成立。
## Problem
TUI 的终端标题是一个所有会话共用的静态字符串(`title`,默认 `DeepSeek Harness`)。在 tmux 每个窗格或每个终端标签页各跑一个 agent(智能体)的用户看来,它们的标签全都一样,因此窗格一眼看去无从区分,标签栏也不携带任何关于各会话正在做什么的信号。
## Decision
- `TuiConfig` 新增布尔字段 `autoTitle`(默认 `false`)。开启后,TUI 会在全新会话的首条用户消息之后发起一次后台模型调用,并用一个简短的、模型生成的标签替换终端标题;静态 `title` 是替换前的初值,也是兜底。
- 该标签是模型概括,而非对提示词的截断。请求携带一段固定的任务指令(将该请求概括为两到五个小写单词、不含标点的简短标题)加上用户的首条消息,且不带工具;TUI 取回复的首个非空行并截断到 40 个字符(39 个字符加一个省略号)。
- 标题通过 `runtime.terminal.setTitle` 设置——静态 `title` 已经在用的同一条 OSC 0 路径。不引入任何新的终端控制面,终端写入仍归 pi-tui 所有。
- 该调用发出后不等待其返回,且每会话仅一次。一个 `titleSettled` 门闩守护它:`autoTitle` 关闭时它预先置为已结算、从不运行;在首条 `user/message` 已入日志的恢复会话中它预先结算,因此静态标题得以保留;仅含空白的首条消息被跳过且不消耗名额。任何失败、空回复、缺少 `llm` 服务、或缺少 agent 的 `provider` 或 `model`,都会让静态标题保持不动。一个专用的 `AbortController` 在关闭时取消尚在进行的请求。
- 标题调用直接抵达 `ctx.llm.stream`,而非经由 `agent.send`,因此它从不追加进会话或 transcript(文本记录),也无法扰动 agent loop(智能体循环)。
- 该功能默认关闭,仅在交互式产品配置(`examples/tui-agent/cordis.yml`)与脚本化 PTY fixture(测试前置数据)中开启。若在共享的 `dsh-tui-demo` schema 默认值里开启,会在不发送任何用户消息的无密钥回放与启动场景中多发一次模型调用。
## Alternatives considered
**截断首条用户消息,而非用模型生成标题。** 否决:用户选择的是简短的、模型制作的标签;截断后的原始提示词嘈杂、常以样板文字开头,且很少读起来像标题。
**重命名窗口(OSC 2)或 tmux 窗口。** 否决:OSC 0 只设置 `pane_title`,因此它标记窗格而不重命名、也不泄漏进用户的窗口标题;用户确认 OSC 是正确的手段。
**让该功能默认开启。** 否决:在共享的 demo schema 里开启会扰动无密钥回放与启动快照,并在每个全新会话上花掉一次模型调用;按部署选择性开启可让默认面保持惰性。
**并入日志支撑的会话标题工作(PR #451)。** 否决:那项改动是持久化到日志的会话元数据;本项是不做持久化的终端标签。让二者相互独立可使各自自成一体,并避免共享依赖。
**阻塞首轮直到标题就绪。** 否决:在发送用户消息前先等待标题,会给实际请求增加延迟;发出后不等待其返回可让重命名对该轮次不可见。
## Consequences
- 开启时,全新会话会多花一次无工具的模型调用,只带单条简短的用户消息和少量输出 token;默认关闭时它不产生任何开销。
- 由于标题调用会打上 `sessionId`,它与会话的 `llm-replay` 游标共享:在以回放支撑的快照场景中开启 `autoTitle` 会消耗一条录制脚本条目。这正是它默认关闭、且脚本化 PTY fixture 用按工具分支的适配器而非回放来回答该调用的原因。
- `packages/ui/tui/tests/tui.spec.ts` 用一个 mock `llm` 适配器固定该行为:生成的标题替换静态标题、过长输出以省略号截断、仅含空白的首条消息保留一次性名额、空回复或失败回复保留标题、恢复的会话从不触发,以及功能关闭 / 无服务 / 缺提供方 / 缺模型各路径都保留静态标题。一项关闭测试断言尚在进行的请求被中止。
- `examples/tui-agent/tests/tui-keyless-smoke.e2e.ts` 证明真实的经 Loader 启动的路径:脚本化适配器以固定字符串回答无工具的标题调用,对话场景断言 OSC 0 序列抵达 PTY。启动场景不发送用户消息,因此它们从不触发该调用。

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