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https://github.com/deepseek-ai/deepseek-harness
synced 2026-08-15 21:04:50 +00:00
a821dcbe0d4154394b0265737fba1643506e191c
Second-round Codex review of the PR-A taxonomy change found four issues, all verified against the code: - The /goal regression guard asserted only that the steered content reached requests[1], which passes even with the hasSteering override (loop.ts) disabled: leftover steering is re-enqueued as a next-turn queued message and also lands in requests[1], one turn later. The guard now asserts the same-turn shape — ONE turn, TWO steps, a steering/message recorded before step 2 — which is the mechanism the override drives. Proven to fail red with the override disabled. - The event-domain-semantics RFC's consequence list still described the pre-fix behavior (step marked open AFTER step/start, so no step/end owed). It now states the shipped behavior: the loop marks the step open BEFORE the append, so a throwing step/start listener gets a balancing step/end via closeStep(). - architecture.md's loop pseudocode said only continuation listeners force continuation; step/end session-event listeners (the /goal pattern) do too. - The agent/turn-end JSDoc listed a `rejected` TurnEndReason that does not exist on this branch (it belongs to the later interception work). Removed it and regenerated the cordis catalog; `interrupted` (a real variant) stays.
DeepSeek Harness
Monorepo for the DeepSeek Harness group.
Projects
- DeepSeek Code — DeepSeek's coding agent product.
Development
This monorepo is built on the Cordis framework (vendored as source under vendor/), microkernel-style: everything is a plugin.
pnpm install
pnpm run test # vitest
pnpm run demo:echo # runnable echo-agent example (no API key needed)
pnpm run demo:coding # the real DeepSeek coding agent (needs DEEPSEEK_API_KEY)
For humans, start with the development guide for local setup, hooks, environment variables, and quality gates, then read the architecture design before package work. Local context lives in packages/ and vendor/.
For agents, follow AGENTS.md.
Languages
TypeScript
97%
CSS
1.6%
Python
0.7%
JavaScript
0.6%