Tianyi Cui
README.md
acp-agent example
Automation-oriented Agent Client Protocol server over JSON-RPC stdio. It is intended for parent agents, subagent providers, and other programmatic clients, not as the product UI.
pnpm run demo:acp # needs DEEPSEEK_API_KEY (repo-root .env or env)
pnpm run demo:code-mode acp # same protocol with the Code Mode tool transport
The leaf loads the ACP app, DeepSeek adapter, sandboxed bash and filesystem stacks, one-shot approval policy, compaction, subagents, workflows, hooks, model-facing tools, and repeat guard. The app creates one fresh agent per session/new, persists sessions to JSONL, and keeps stdout protocol-pure. fs.cordis.yml adds local tool-result spill storage for dedicated scenarios; code-mode.cordis.yml adds run_code and its generated TypeScript SDK.
Protocol channel
Stdout carries only newline-delimited ACP JSON-RPC. @deepseek-ai/dsh-acp-demo installs no stdout logger; leaf additions must use stderr for diagnostics.
The automation contract — supported methods, baseline prompt content, committed-text output, and the intentionally absent UI surfaces — lives in @deepseek-ai/dsh-acp.
Session workspaces and permissions
Each session/new supplies an absolute cwd. Sandboxed bash and filesystem mutations resolve workspace-write against that session cwd, so concurrent sessions can use separate project roots; platform temporary roots remain shared writable scratch space (sandbox contract). DSH_PERMISSION_MODE selects workspace-write or danger-full-access for deployment and tests.
Under workspace-write, a model retry requesting wider sandbox access triggers session/request_permission with allow_once and reject_once. The client decides programmatically; dismissal or an unavailable answer fails closed. The selected outcome applies only to that retry and is recorded through the normal tool-result/audit path. The server never exposes a permission picker or persists client policy.
Snapshot tests
This example owns the ACP snapshot suite. It boots the real automation server, replays committed model streams through dsh-llm-replay, and compares both normalized protocol output and re-persisted session logs. Recording uses the real model; refresh reuses committed replay input. Overrides cover throw/hang behavior, and optional workspace/ fixtures seed world-state checks.
Most scenarios pin backend behavior rather than ACP-specific behavior; the automation-only ACP decision owns why that coverage remains transport-coupled.