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https://github.com/deepseek-ai/deepseek-harness
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The second PR of the subagent seam: the two in-process backends that run a
child agent on the same cordis context, reusing the agent factory's quiescent
AgentHandle teardown. Both register on ctx.subagents (PR1's named-provider
registry) and share one run driver.
- dsh-subagent-spawn: a FRESH child via ctx.agents.create — own session, the
parent's model by default (overridable), zero inherited conversation. Also
exports the shared in-process run driver (startInProcessRun): mint ids, stamp
cwd/parentSession-lineage/depth, drive the one-shot (send → whenIdle), read
the last assistant/message + turn/end reason, dispose to quiescence.
- dsh-subagent-fork: a child SEEDED with the parent's balanced completed-turn
prefix (the log up to and including its last turn/end), so the child inherits
context. The in-flight unbalanced turn is excluded — a raw seed would fail the
invariants replay. Proven: a regression test goes red if the boundary seeds
the open turn.
- Seam extension: CreateAgentOptions.seed, threaded through AgentLoop.createAgent
→ ctx.sessions.prepare({ seed }) (the primitive resume already used). This is
the fork-lineage path the TODO(sub-agents) markers anticipated.
- Depth: a merge-extensible AgentOptions.subagentDepth (0 top-level, parent+1 for
a child); the depthLimit capability refuses a spawn past request.maxDepth.
Tests: real-loop unit tests for both backends (mock MODEL only, real loop +
invariants), a multi-subagent test (one parent drives a fork AND a spawn child
then keeps working), and a with-key e2e (a real parent delegates via the
`subagent` tool to a real child that writes a file on disk — world-verified).
100% per-file coverage. The coding-agent demo wires the spawn backend + tool.
Snapshot coverage of nested agents is deferred to a stacked follow-up
(TODO(subagent-snapshots)): dsh-llm-replay is a single global positional cursor
that cannot route calls to a parent vs. a child on one context. Recorded in the
RFC's deferrals and a new AGENTS.md rule: designing a subsystem must design its
test infrastructure END TO END up front, verifying the snapshot/e2e harness can
express the new shape — a gap this plan hit.
49 lines
1.4 KiB
JSON
49 lines
1.4 KiB
JSON
{
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"name": "@deepseek-ai/dsh-subagent-spawn",
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"description": "In-process spawn subagent backend: runs a fresh child agent on ctx.agents",
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"version": "0.0.1",
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"private": true,
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"type": "module",
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"main": "lib/index.js",
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"types": "lib/index.d.ts",
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"exports": {
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".": {
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"types": "./lib/index.d.ts",
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"default": "./lib/index.js"
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},
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"./src/*": "./src/*",
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"./package.json": "./package.json"
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},
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"files": [
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"lib",
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"src"
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],
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"license": "BSD-3-Clause",
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"peerDependencies": {
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"@deepseek-ai/dsh-agent": "^0.0.1",
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"@deepseek-ai/dsh-llm": "^0.0.1",
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"@deepseek-ai/dsh-session": "^0.0.1",
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"@deepseek-ai/dsh-subagent": "^0.0.1",
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"cordis": "^4.0.0-rc.6"
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},
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"dependencies": {
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"schemastery": "^3.18.0"
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},
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"devDependencies": {
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"@deepseek-ai/dsh-agent": "workspace:^",
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"@deepseek-ai/dsh-agent-loop": "workspace:^",
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"@deepseek-ai/dsh-bash-local": "workspace:^",
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"@deepseek-ai/dsh-invariants": "workspace:^",
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"@deepseek-ai/dsh-llm": "workspace:^",
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"@deepseek-ai/dsh-llm-deepseek": "workspace:^",
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"@deepseek-ai/dsh-session": "workspace:^",
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"@deepseek-ai/dsh-subagent": "workspace:^",
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"@deepseek-ai/dsh-system-prompt": "workspace:^",
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"@deepseek-ai/dsh-tool-bash": "workspace:^",
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"@deepseek-ai/dsh-tool-subagent": "workspace:^",
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"@deepseek-ai/dsh-tools": "workspace:^",
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"@cordisjs/plugin-loader": "^1.0.0-rc.4",
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"cordis": "^4.0.0-rc.6"
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}
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}
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