mirror of https://github.com/deepseek-ai/deepseek-harness synced 2026-08-15 21:04:50 +00:00

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Tianyi Cui 93a6dc6716 test(todo): add the todo-plan ACP snapshot scenario and a with-key e2e

Record the `todo-plan` snapshot scenario: a real prompt drives the model to call
todo_write, and the golden captures the resulting `plan` sessionUpdate (three
entries, priority synthesized as medium, status 1:1) plus the persisted
todo/write event. Registered in SCENARIOS; replays deterministically keyless.

Add a with-key coding-agent e2e that verifies the WORLD — a real model call to
todo_write lands a todo/write event whose snapshot is a valid, one-in-progress
list — not the agent's self-report. Wire tool-todo into the e2e harness.

2026-06-29 10:56:55 +08:00

acp-agent

test(todo): add the todo-plan ACP snapshot scenario and a with-key e2e

2026-06-29 10:56:55 +08:00

coding-agent

test(todo): add the todo-plan ACP snapshot scenario and a with-key e2e

2026-06-29 10:56:55 +08:00

echo-agent

refactor(examples): extract the app spine into dsh-agent-core + app packages

2026-06-21 12:06:38 +08:00

AGENTS.md

test(todo): add the todo-plan ACP snapshot scenario and a with-key e2e

2026-06-29 10:56:55 +08:00

CLAUDE.md

refactor(examples): extract reusable logic into tested packages

2026-06-19 12:42:28 +08:00

README.md

feat(tool-todo): add the model-facing todo_write tool

2026-06-29 10:30:52 +08:00

README.md

Examples

Runnable demos (not workspaces) that showcase how the harness is wired. Each example is now a thin leaf: a cordis.yml that picks the swappable backends (an LLM adapter, a bash executor) and loads ONE app package, plus any demo-only mocks. The composition — the spine, the front-door cluster, and the boot glue — lives in the app packages (@deepseek-ai/dsh-stdio-agent, @deepseek-ai/dsh-acp-agent) and the @deepseek-ai/dsh-agent-core bundle they share. There is no start.ts; the demo:* scripts invoke each app package's bin.

echo-agent

A mock model + echo tool on the stdio chat app — the all-mock skeleton. The leaf swaps dsh-stdio-agent's LLM backend to a local mock-echo adapter and adds a local echo tool. Demonstrates:

A thin leaf cordis.yml loading the @deepseek-ai/dsh-stdio-agent app
Registering a mock LlmAdapter (streaming scripted responses)
Registering a tool via ctx.tools.register()
"Swap the backend, keep the app" — the only difference from coding-agent is the adapter

Run with: pnpm run demo:echo. When prompted, type "echo " to trigger a tool call round-trip.

coding-agent

The real thing: DeepSeek V4 + the bash tool suite, subagent delegation, and the todo_write task tracker on the same @deepseek-ai/dsh-stdio-agent app. Where echo-agent proves the skeleton with mocks, this is a usable coding assistant.

Run with: pnpm run demo:coding (needs DEEPSEEK_API_KEY in the environment or a gitignored repo-root .env). See coding-agent/README.md for details.

acp-agent

The same coding agent exposed as an Agent Client Protocol (ACP) server over JSON-RPC stdio, via the @deepseek-ai/dsh-acp-agent app — drive it from Zed or any other ACP client. Also the home of the keyless snapshot tests.

Run with: pnpm run demo:acp (needs DEEPSEEK_API_KEY). See acp-agent/README.md for the Zed setup and the snapshot-test design.