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DeepSeek Harness Architecture

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DeepSeek Harness SDK uses Cordis: everything is a plugin, including the loop.

Overview

Harnesses are Cordis contexts; packages contribute services, typed events, and disposable registrations.

packages/core/ groups the default agent flow; capabilities remain plugins.

Default Services

ctx key Package Role
dsh-scope scoped-context registrations and shared layer storage (library)
ctx.sessions dsh-session in-memory event-sourced sessions
ctx.systemPrompt dsh-system-prompt ordered stable system sections, cache-safe dynamic contexts, tool schemas, and variables
ctx.tools dsh-tools tool registry and execution pipeline
ctx.agents dsh-agent live agents, delegated creation, agent/* events, process-local initiator scope
ctx.agentLoop dsh-agent-loop concrete Agent driver

Capability Services

ctx key Package family Role
ctx.llm llm/ adapter registry, streaming model calls
ctx.tokenMeter llm/token-meter replay-aware request and surface pressure
ctx.bash bash/ foreground/background command execution
ctx.subprocess subprocess/ managed child-process trees for bash, LSP, and ACP subagent backends
ctx.pty pty/ owner-scoped persistent terminal sessions
ctx.sandbox sandbox/ same-world process confinement through argv wrapping and per-call policy
ctx.sandboxPolicy sandbox/ shared sandbox policy home
ctx.codeRuntime code-runtime/ model-written program execution
ctx.fs fs/ filesystem provider primitives and policy events
ctx.lsp lsp/ semantic navigation registry
ctx.skills skill/ skill provider registry, progressive disclosure
ctx.web web/ search/fetch provider registries
ctx.compact, ctx.toolResultPrune compact//compact-tool-result-prune summary compaction, optional model-free result pruning
ctx.subagents subagent/ named delegation providers and Activation-based continuations
ctx.planMode plan/ logged plan collaboration state
ctx.tasks tasks/ background task registry, generic task_* controls
ctx.workflows workflow/ script-driven multi-agent orchestration
ctx.goals goal/ persisted same-session goals
ctx.sessionPersistence session-persistence/ durable session-log storage
ctx.sessionQuery session-query/ live-preferred exact/filter/trace queries over SQLite FTS, workspace-authorized model tools
ctx.sessionTitle session-title/ log-backed fallbacks, one optional asynchronous provider
ctx.settings settings/ per-plugin user-settings namespaces layered over composition entries
ctx.credentials credentials/ named secret references resolved per operation, never inlined in configuration
ctx.directoryPicker host/directory-picker GUI-host directory picking (native/browse interactions)
ctx.typert typert/registry runtime registry for generated package reflection and live Zod schemas
ctx.invariants support/invariants package-name-selected registry of package-owned runtime checks

Event

Events are the service extension API (catalog, producer/consumer map).

Event Domains

  • Session events are durable log facts emitted through session/event.
  • Agent events carry live Agent for status, prompt admission, request shaping, validation, and continuation.
  • Capability events let owning seams attach policy and adapters without a loop import.

Interception Semantics

Waterfalls are around-middleware: listeners delegate with next(); returning without it vetoes or takes over (semantics).

Default Loop Lifecycle

A session is append-only. An ordinary turn claims one queued send() item; injection claims none. A turn ends when the model or plugins stop it; a step is one model request plus its tool calls. Agent and session publication happen only after private setup and resume state are ready.

Turn Flow

queued input -> prompt admission -> turn/start
  -> [agent/step -> request -> chunks/message -> tools -> step/end]*
  -> turn/end

idle injection -> user/message

Each step assembles the prompt, tools, runtime context, adapter settings, and model history before recording its reconstruction boundary. Tool calls then run through the shared execution pipeline. inject() adds context without opening an idle turn; steer() targets a next-step admission window; queued input remains the source of ordinary turns. The generated agent lifecycle owns exact event order, and the agent-loop README owns queue, steering, retry, and cancellation mechanics.

Failure Boundaries

Adapter failures close their step before agent/request-error can authorize recovery from durable history. Other failures use agent/error; cancellation and disposal take precedence over recovery. Failed model attempts commit no assistant message or tool side effect. Turn closure is represented by one TurnEndReason; the exact retry contract belongs to LLM streaming.

Agent Handles

ctx.agents owns agents and returns AgentHandle { agent, dispose() }. Plugins submit queued work, steering, or injected context through the agent interface; cancellation, idleness, and teardown stay behind the same handle.

Agent Scope

Each agent owns scoped agent.ctx; shared storage overlays its tools, prompts, and commands on global contributions while scoped listeners filter dispatch. Setup composes before publication and cleanup unwinds contributions. The agent-scope decision owns the detailed lifecycle.

State

Session Log

The session log is authoritative. deriveMessages() projects model history; raw assistant/chunk events preserve replay and UI fidelity. Fork, resume, transcript rendering, telemetry, and persistence derive from this stream.

Model-visible ⟺ logged: before step/start, the loop appends the full current runtime-context snapshot as a sourced user/message, then snapshots derived messages. Those messages and the folded request/header reconstruct each request. The header marks adapter defaults so later proposals discard them and re-resolve the route without losing explicit settings. dsh-agent-loop/invariant asserts this through ctx.invariants (reconstructability).

Durability is a plugin concern. Backends eagerly drain synchronous session/event notifications. session/flush barriers precede each request and top-level tool dispatch, then follow turn/end before another queued turn or idle observation. SessionPersistence stores SessionEvent directly and metadata in SessionHeader; JSONL defaults to checksummed Zstandard, while SQLite shares the contract (decision).

Between turns, owners append log-only events through Session, flushing only for durability. session/title needs eager persistence and lifecycle drains; manual compaction flushes its bracket before releasing admission. Title work never delays responses; latest wins with provenance. Title records are inherited fork boundaries (decision).

Model Content

Messages use typed blocks from merge-extensible ContentBlockMap; the pattern also types MessageSource, FinishReason, TurnTrigger, and TurnEndReason. New blocks coordinate adapters, UI, compaction, token metering, and persistence; replay measurements live in token-meter.md.

Streaming uses raw chunks and BlockAssembler. Each LlmAdapter.stream() is one provider attempt; adapters report normalized failure facts, and a handling agent/request-error plugin returns a retry action. The loop logs chunks, successful provenance, and replay state. Remote adapters use per-read idle watchdogs. Replay crosses routes only through a shared adapter instance (contract).

Extension And Composition

Capability Pattern

A swappable capability usually has interface / implementation / consumer layers: service/events, backend, and model-facing tools/prompts. Bash is the reference; the capability graph maps each family.

Exceptions combine LLM interface/consumer, filesystem policy, web registries, and named skill/subagent providers. Subagents spawn fresh, fork a completed-turn prefix, or use ACP children (subagent.md).

dsh-workspace-context injects baseline at the first agent/step and appends ctx.fs-discovered changes through tools/post-execute; its decision records isolation. dsh-paths owns shared paths.

Bundles And Apps

dsh-agent-spine-demo bundles a spine and optional goals. App packages own CLI, ACP automation, and JSON-RPC front doors (README, acp/, ui/). dsh-jsonrpc-agent boots external cordis.yml; the Python SDK defaults when config is absent (Python SDK). Thin deployments use swappable backends and optional tools (examples/, runnable wirings, graph atlas).

Where New Behavior Goes

New behavior attaches to a documented extension point; a loop change updates this map.

Goal Mechanism
Add a model provider register its adapter on ctx.llm
Add a model-facing capability register on ctx.tools; schemas join prompt assembly
Add shell execution implement and register a ctx.bash backend; the local backend spawns through ctx.subprocess
Add persistent terminal execution register a ctx.pty backend plus dsh-tool-pty
Add a human command register on ctx.commands; adapters discover and dispatch without a model turn
Add background work register on ctx.tasks; generic task_* tools collect or stop it
Add filesystem access or policy implement a ctx.fs provider or listen to fs/* policy events
Confine spawned processes use a ctx.sandbox backend; consumers wrap argv before spawning
Intercept a request, tool, or turn use its agent/* or tools/* event; agent/turn-stopping is the stop boundary
Add model-facing context call agent.inject() to append a sourced user/message without a turn
Add UI or editor integration drive ctx.agents and render from session/event
Add durable session state extend SessionEventMap; render and replay from the log
Add asynchronous session-title generation register the sole ctx.sessionTitle provider
Manage a same-session objective use ctx.goals; continue through Agent and agent/*
Fork a live session call ctx.sessions.fork(source, boundary?, childSessionId?)
Scope a registration to one agent use its agent.ctx (see Agent Scope)

The extension cookbook has plugin skeletons and the feature-to-seam map; guides cover packages, tools, LLM adapters, and vendored packages.