a8986c2c8a
Beyond the mechanical conflicts (provider capability lines vs master's new inheritsParentContext field; generated catalogs regenerated rather than hand-merged; knip/lockfile), three master-side reworks required semantic adaptation of this branch: - The persona rework removed AgentOptions.systemPrompt, which was the structured-output instruction's channel. The instruction now rides the SAME final-request enforcement listener that injects the schema'd tool: appended per request to final.system (per-request wire state, not agent prompt state). Tests assert the wire request (adapter.requests) instead of child.options; the bare-direct-dispatch test pins the no-system arm. - Tool guidance moved out of deployment prompts into per-tool prompt sections; the examples' workflow paragraph became a tool:<toolName> section contributed by dsh-tool-workflow (explicit-ask-only policy), and both example personas resolve to master's minimal identity+behavior form. tool-workflow gains inject: systemPrompt (+ peer dep, tsconfig ref); the export-shape guard updated. - The uniform-RFC-format gate: the dynamic-workflows RFC restructured to the implemented/ skeleton (bare Status line; Proposal -> Decision; What-was-rejected -> Alternatives considered; new Consequences), and the overall-run-timeout deferral is now recorded in the RFC's Deferred list. The doc-graphs atlas classification gains the workflows seam (workflow-vm implementation, tool-workflow consumer). Master's harness-identity section made "empty assembled prompt" states unreachable through the loop, so the instruction-append is a plain undefined-ternary and the structured tests assert append-not-replace. All snapshot goldens (including workflow-run) replay unchanged. Full local CI-equivalent gate sequence green on the merged tree.
acp-agent example
The DeepSeek Harness SDK agent demo exposed as an Agent Client Protocol (ACP) server over JSON-RPC stdio — drive it from Zed or any other ACP client.
pnpm run demo:acp # needs DEEPSEEK_API_KEY (repo-root .env or env)
This example is just a leaf cordis.yml: it loads the @deepseek-ai/dsh-acp-agent app (which bundles the @deepseek-ai/dsh-agent-core spine, JSONL session persistence, and the @deepseek-ai/dsh-acp bridge — with no pre-created agents, since ACP session/new creates them on demand), the swappable DeepSeek, bash, and filesystem backends, and the model-facing read/write/edit/subagent/subagent_fork/todo_write tool entries. The app package bakes in the no-stdout-logger cluster, so a leaf has no logger entry to get wrong by default — keeping stdout pure for JSON-RPC.
stdout is the protocol
This example loads no stdout logger — stdout carries the JSON-RPC frames, and any other write corrupts them. @deepseek-ai/dsh-acp-agent includes no logger entry, so this leaf has none to get wrong by default; do not add one (use a stderr exporter if you need logs).
Zed configuration
Add to your Zed settings.json under agent_servers:
{
"agent_servers": {
"DeepSeek Harness": {
"command": "pnpm",
"args": ["--dir", "/path/to/deepseek-harness", "run", "demo:acp"],
"env": { "DEEPSEEK_API_KEY": "sk-…" }
}
}
}
The editor sets each session's cwd to the project it opens; both the agent's bash tools and the read/write/edit filesystem tools resolve relative paths against that per-session workspace (see the per-session cwd note in packages/ui/acp and the per-session cwd RFC), so the server can be launched anywhere and each session still acts on its own project directory.
Snapshot tests (record-once / replay-deterministic)
This example is the home of the harness's snapshot tests — they boot this server as a real subprocess, drive it with a deterministic input script, and diff its normalized output against committed golden files. The model is made deterministic by @deepseek-ai/dsh-llm-replay, a function/namespace plugin that installs an llm/stream waterfall listener and short-circuits it, serving model streams reconstructed from a recorded session JSONL fixture (<scenario>/session.jsonl) — so replay needs no API key. The fixture IS the persisted session log: its assistant/chunk events carry every StreamChunk, so grouping them by (turn, step) reconstructs each stream() call (one model call per loop step). Recording is therefore "run the real agent once and harvest the .jsonl". The two failure modes not expressible as logged chunks — a pure throw before any chunk, and cancel/hang — use an optional <scenario>/replay.override.json sidecar (a ReplayEntry[] that replaces the derived script). A scenario that needs the agent to operate on existing files ships an optional <scenario>/workspace/ directory — the harness copies its contents into the temp cwd before the run (see workspace-edit). See the ACP snapshot tests RFC for the full design.
MVP limitations
The bridge supports N concurrent sessions per connection, each in its own workspace cwd (RFC 011). Remaining limits: prompts support ACP's baseline text and resource_link blocks only, additionalDirectories and mcpServers are rejected, and the tool-permission gate is deferred (TODO(rfc010-permission-gate) — tools run with the executor's full authority). See packages/ui/acp/README.md for the full contract.