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https://github.com/deepseek-ai/deepseek-harness
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83 lines
5.8 KiB
Markdown
83 lines
5.8 KiB
Markdown
# dsh-agent-loop
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THE concrete agent plugin: `ReactLoopAgent` and the loop driver. Implements the `Agent` interface and drives the session/turn/step lifecycle.
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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.
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## Service: `AgentLoop` (ctx key: `agentLoop`)
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### Public API
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- `ctx.agentLoop.create(id: string, options?: AgentOptions, meta?: { cwd?: string }): ReactLoopAgent` — config-driven create: an agent on a fresh per-run session id `${id}-session-<uuid>` with optional session metadata. Used for `cordis.yml`-configured agents. The per-run uuid avoids colliding with the on-disk log a prior run materialized once a durable persistence backend is loaded; each run is a new session (a deliberate demo simplification — a real resume-or-create policy is a TODO). Disposed with the calling fiber.
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`AgentLoop` also implements the `AgentFactory` seam and registers itself via `ctx.agents.setFactory(this)`, so plugins create/resume agents through `ctx.agents` (the interface):
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- `ctx.agents.create({ agentId, sessionId, meta?, seed?, agentOptions? }): AgentHandle` — programmatic create on a caller-supplied `sessionId` (e.g. an ACP-generated id), NOT `${id}-session`; `meta` carries cwd/lineage/seed-boundary metadata and `seed` reconstructs a forked child prefix. Returns an [`AgentHandle`](../agent/README.md) — the owner disposes it to tear down exactly this agent (stop loop + await quiescence + unregister + remove session).
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- `ctx.agents.resume({ agentId, resumeSessionId, agentOptions? }): Promise<AgentHandle>` — load a persisted session via `ctx.sessionPersistence` ([session persistence](../../../docs/rfc/implemented/architecture/2026-06-14-session-persistence.md)) and resume an agent on it. 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`.
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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.
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### Injected services
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`agents`, `sessions`, `llm`, `tools`, `systemPrompt` — all five interface services.
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### Configuration (schemastery)
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```ts
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interface Config {
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agents: Array<{
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id: string // required
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model?: string
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systemPrompt?: string
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cwd?: string // optional workspace cwd for the fresh session
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}>
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}
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```
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Agents listed in config are auto-created at startup. `cwd` applies only to fresh config-created sessions; `resumeSessionId` keeps the persisted session header.
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### Classes
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- `ReactLoopAgent` — the concrete `Agent` implementation. Owns the inbox (`Inbox`), the per-step `AbortController`, and the loop driver. Everything observable happens through session events and the `agent/*` event taxonomy.
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- `Inbox` — per-agent queued + steering FIFOs (`enqueue`, `steer`, `drainQueued`, `drainSteering`, `waitForQueued`).
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### Loop lifecycle (`loop.ts`)
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One invocation of `runLoop()` drives one agent for its whole lifetime:
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```
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forever:
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wait for queued messages (idle)
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TURN (error-contained):
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drain queued → 'turn/start' → session('user/message')
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STEP loop:
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drain steering
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assembly = systemPrompt.assemble()
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request = waterfall agent/request
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stream llm.stream(request) → session('assistant/chunk')
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message = waterfall agent/step-result
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session('assistant/message')
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each tool-call: session('tool/call') → tools.execute() → session('tool/result')
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drain steering → session('steering/message')
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cont = waterfall agent/turn-continuation
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if !cont: break
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session('turn/end')
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await session/flush
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re-enqueue leftover steering as queued
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idle unless more queued
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```
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Error containment: a throwing plugin ends the **turn**, never the loop. 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.
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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.)
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### What is NOT here
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Everything that goes beyond "call the model, run the tools, repeat" belongs to plugins listening on the event taxonomy:
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- Hooks: `agent/request`, `agent/step-result`, `tools/execute`, `agent/turn-continuation`
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- Compaction: `agent/request`
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- Sandbox, permission, plan mode: `tools/execute`
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- 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.
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- Persistence: `session/event` + `session/flush`
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- UI: `agent/stream-chunk` + `agent/*` events
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