# dsh-agent-loop THE concrete agent plugin: `ReactLoopAgent` and the loop driver. Implements the `Agent` interface and drives the session/turn/step lifecycle. This is the only package in the harness that contains concrete loop logic. Everything else is an abstract service or a plugin against extension seams — new behavior goes into plugins, not here. ## Service: `AgentLoop` (ctx key: `agentLoop`) ### Public API Lifecycle (scoped): programmatic creation and resume snapshot caller-owned identity/configuration data, reserve both IDs, mint `agent.ctx`, and install the ordered teardown skeleton before awaiting optional `setup`. Resume installs an owner-liveness sentinel before persistence load, then hands ownership directly to the full lifecycle. After setup resolves, the factory checks its lifecycle flag, owner-fiber state, and owning agent status around one microtask checkpoint so a same-turn Cordis unload wins before publication. Successful setup inserts both session and agent before announcing either, enables driving immediately before `agent/session-start`, then starts the loop. Setup calls to `send`/`steer`/`inject`/`cancel` reject structurally; load/setup rejection or owner unload publishes nothing. Teardown runs stop/drain → unregister → detach session → unwind scope. All `agent/*` dispatches go through `agentEvents(ctx, agent)`; per-step assembly through `assembleContextFor(agent)`; the turn-end durability checkpoint through `ctx.sessions.flush(session)`. - `ctx.agentLoop.create(id: string, options?: AgentOptions, meta?: { cwd?: string }): ReactLoopAgent` — config-driven create: an agent on a fresh per-run session id `${id}-session-` with optional session metadata. Used for `cordis.yml`-configured agents. The per-run uuid avoids colliding with the on-disk log a prior run materialized once a durable persistence backend is loaded; each run is a new session (a deliberate demo simplification — a real resume-or-create policy is a TODO). Disposed with the calling fiber. `AgentLoop` also implements the `AgentFactory` seam and registers itself via `ctx.agents.setFactory(this)`, so plugins create/resume agents through `ctx.agents` (the interface): - `ctx.agents.create({ agentId, sessionId, meta?, seed?, agentOptions?, setup? }): Promise` — programmatic create on a caller-supplied `sessionId`, NOT `${id}-session`. It awaits the unpublished setup transaction before returning; `meta` carries cwd/lineage/seed-boundary metadata and `seed` reconstructs a forked child prefix. The resolved [`AgentHandle`](../agent/README.md) owns exact teardown. - `ctx.agents.resume({ agentId, resumeSessionId, agentOptions?, setup? }): Promise` — load a persisted session via `ctx.sessionPersistence` ([session persistence](../../../docs/rfc/implemented/architecture/2026-06-14-session-persistence.md)), reconstruct its history, then await setup against a fresh unpublished agent scope before rollback-covered publication. The live session id is the resumed id; turn numbering and derived history continue from the loaded log. Requires a session-persistence backend (NOT hard-injected — non-persistent demos still work; `resume` rejects with a clear error when persistence is absent). Returns an `AgentHandle`. The config-driven `ctx.agentLoop.create()` path keeps its agent owned by the loop fiber (it discards the handle) — only the programmatic factory callers (the ACP bridge and in-process subagent backends) hold a handle and own per-agent teardown. ### Injected services `agents`, `sessions`, `llm`, `tools`, `systemPrompt` — all five interface services. ### Configuration (schemastery) ```ts interface Config { agents: Array<{ id: string // required model?: string resumeSessionId?: string // load this persisted session instead of creating one cwd?: string // optional workspace cwd for the fresh session }> } ``` Agents listed in config are auto-created at startup. `cwd` applies only to fresh config-created sessions; `resumeSessionId` keeps the persisted session header. There is no per-agent persona: the deployment persona is `dsh-system-prompt`'s own `persona` config, shared by every agent in the context. The plugin registers the built-in `model`/`cwd` prompt variables on `ctx.systemPrompt`, resolved per step from the `assemble({ agent })` context — runtime facts of the agents THIS loop drives, unlike the `harness:identity`/`deployment:persona` sections, which live on `dsh-system-prompt` so they survive a swapped loop plugin. ### Exported concrete class - `ReactLoopAgent` — the concrete `Agent` implementation. Its inbox is a JavaScript native-private field, and one prepared session can be claimed by only one concrete driver. Everything observable happens through session events and the `agent/*` event taxonomy. `Inbox`, `runLoop`, and the instance-bound enable/start controls are package-internal. The package root does not export them, and the package exports map exposes no `./src/*` escape hatch; lifecycle owners create agents through `ctx.agents` rather than constructing or starting the driver internals. ### Loop lifecycle (`loop.ts`) The internal loop driver runs one agent for its whole lifetime: ``` create agent → emit agent/session-start(source) ⟵ once, before turn 1 forever: wait for queued messages (idle) TURN (error-contained): 'turn/start' each queued: waterfall agent/prompt-submit → allow (→ session('user/message'), inject additionalContext) | block (→ session('prompt/blocked'), drop) if every prompt blocked: 'turn/end'(rejected), no step ⟵ zero-step turn STEP loop: drain steering assembly = systemPrompt.assemble({agent}) ⟵ renderPrompt(assembly) IS the full prompt prefix ??= waterfall agent/session-prefix ⟵ once per instance (first step): frozen session prefix; on the header, never history await serial agent/pre-step(…, prefix) ⟵ surface mutation (compaction) outside the step; pressure gates see the prefix the request carries boundary = session.deriveMessages() ⟵ reconstruction boundary: same sync frame, session('step/start') strictly before step/start config = waterfall agent/request ⟵ frozen seed; return a replacement to switch session('request/header'[-delta]) ⟵ the header event this request owes the log stream llm.stream(freeze({header..., messages: prefix+boundary})) → session('assistant/chunk') message = waterfall agent/step-result session('assistant/message') each tool-call: session('tool/call') → tools.execute() [pre waterfall → monotonic guards → around dispatch → post waterfall → final notification] → session('tool/result') append buffered post-execute additionalContext as session('context/message')(s) drain steering → session('steering/message') cont = waterfall agent/turn-continuation → ContinuationDecision ({action:'continue', reason?} records reason as next-step steering) pending steering can override an ordinary stop terminal = serial agent/turn-stop → ContinuationStop | undefined (after ordinary decision/reason/steering folding) if terminal stop, or ordinary action==stop with no pending steering: break session('turn/end') await session/flush terminal turn: discard steering added before/during close and flush; keep ordinary queued sends ordinary turn: re-enqueue leftover steering as queued idle unless more queued ``` Error containment: a throwing plugin ends the **turn**, never the loop. A malformed or throwing `agent/turn-stop` policy likewise fails the turn closed. A successful terminal stop stays authoritative through `turn/end` and `session/flush`, preventing their listeners from resurrecting steering through the late fallback. Dispose mid-turn emits `agent/status('disposed')` and ends with reason `disposed`. A step that hits the model's output-token ceiling makes the turn end `max-tokens` (the rule: any `max-tokens` step in the turn surfaces as `max-tokens`; `disposed`/`aborted`/`error` still take precedence) — distinct from a clean `completed` stop. Cancellation: `agent.cancel()` is the single public stop primitive — it clears the queued + steering FIFOs, aborts the in-flight step, and drives a turn-scoped marker the driver checks at every point a turn could start or continue (right after the idle wait, after the `running` flip, before each step, and at the continuation gate) so a turn about to start is dropped. A cancelled turn ends `aborted`; a queued-but-not-started prompt never runs and cannot be batched into the cancelled turn. The marker is reset once per loop iteration, so a cancel governs exactly one turn and never leaks onto a later prompt. (The loop still aborts its own per-step `AbortController` directly on disposal and from `cancel()`; that controller is loop-internal, not a public verb.) ### What is NOT here Everything that goes beyond "call the model, run the tools, repeat" belongs to plugins listening on the event taxonomy: - Hooks and policy: the relevant `agent/*` checkpoints plus the guarded `tools/pre-execute` → `tools/execute` → `tools/post-execute` → `tools/result` pipeline; exact signatures and modes live in the [generated event catalog](../../../docs/cordis-catalog/events.md) - Compaction: `agent/pre-step` - Sandbox, permission, plan mode: `tools/pre-execute` for extensible deny/ask, `tools.guard()` for monotonic owner policy, `tools/post-execute` for result decisions, and `tools/result` for final observation - Sub-agents: implemented outside the loop as `ctx.subagents` providers; in-process providers use `ctx.agents.create()` and owned `AgentHandle` teardown, while child streaming/progress and background/poll collection remain deferred. - Persistence: `session/event` + `session/flush` - UI: `session/event` (assistant token stream, boundaries, tool activity) + `agent/*` control events (`agent/status`, `agent/created`/`agent/disposed`)