Files
deepseek-harness/packages/core/agent-loop
Tianyi Cui b0c7eadd23 feat: generated plugin config catalog (docs/config-catalog.md)
scripts/gen-config-catalog.ts walks every packages/<group>/<pkg> entry with
the TypeScript compiler API and emits docs/config-catalog.md: per loadable
plugin, the verbatim config declaration (JSDoc included) its apply/constructor
receives in a ts config-catalog fence, the inject requirements, resolved links
for every referenced type (package-local types pasted transitively, other
plugins' config types as intra-page anchors, LINK_MAP names to
core-data-structures, workspace types to source), and terse classification
lists for config-free plugins, abstract seams, and libraries — classification
is total, so a new package cannot go undocumented.

The walk enforces per-field JSDoc prose on every pasted declaration and
statically cross-checks the schemastery schema (z.object keys, z.intersect
composition across packages): every schema-validated key must be a declared
member of the config type. One violation existed repo-wide — the agents[].id
field in dsh-agent-loop — fixed by adding its JSDoc (which shifts the
cordis-catalog services page's source pointers; regenerated).

verify-config-catalog (--check) joins doc-sync; doc-typecheck learns the
ts config-catalog fence; gen-cordis-catalog exports its JSDoc/pointer helpers
and LINK_MAP for reuse. Negative-path spec in
packages/core/agent-core/tests/gen-config-catalog.spec.ts mirrors the
gen-cordis-catalog spec. Decision record:
docs/rfc/implemented/process/2026-07-06-generated-config-catalog.md (includes
the deliberate acceptance of README ## Config overlap).
2026-07-06 21:57:17 +08:00
..

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

  • ctx.agentLoop.create(id: string, options?: AgentOptions): ReactLoopAgent — config-driven create: an agent on a fresh per-run session id ${id}-session-<uuid> (no cwd). 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? }): 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 — the owner disposes it to tear down exactly this agent (stop loop + await quiescence + unregister + remove session).
  • ctx.agents.resume({ agentId, resumeSessionId, agentOptions? }): Promise<AgentHandle> — load a persisted session via ctx.sessionPersistence (session persistence) 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.

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)

interface Config {
  agents: Array<{
    id: string                 // required
    model?: string
  }>
}

Agents listed in config are auto-created at startup. (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.

Classes

  • 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.
  • Inbox — per-agent queued + steering FIFOs (enqueue, steer, drainQueued, drainSteering, waitForQueued).

Loop lifecycle (loop.ts)

One invocation of runLoop() drives 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
      await serial agent/pre-step        ⟵ surface mutation (compaction) outside the step
      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: boundary})) → session('assistant/chunk')
      message = waterfall agent/step-result
      session('assistant/message')
      each tool-call: session('tool/call')
        → tools.execute() [waterfall tools/pre-execute → dispatch → tools/post-execute]
        → 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)
      if action==stop (and no pending steering): break
    session('turn/end')
    await session/flush
    re-enqueue leftover steering as queued
  idle unless more queued

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.

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: agent/session-start, agent/prompt-submit, agent/pre-step, agent/request, agent/step-result, tools/pre-execute, tools/post-execute, agent/turn-continuation
  • Compaction: agent/pre-step
  • Sandbox, permission, plan mode: tools/pre-execute (deny/ask gate), tools/post-execute
  • 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)