Pine/deepseek-harness
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases 1 Wiki Activity

feat(goal): add human goal command

Browse Source
This commit is contained in:
Tianyi Cui
2026-07-19 23:55:33 +08:00
parent 400b4658ef
commit 207692bc16
114 changed files with 1831 additions and 88 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/examples/acp-demo/README.md
+3 -1
View File
@@ -12,6 +12,7 @@ stdout is the ACP JSON-RPC channel, so the cluster is defined as much by what it
|---|---|
| `@deepseek-ai/dsh-agent-spine-demo` | the spine, pre-creating **no** agents (ACP `session/new` creates them on demand) |
| `@deepseek-ai/dsh-commands` | the human-command registry used for ACP discovery and direct slash dispatch |
| `@deepseek-ai/dsh-command-goal` | the discoverable direct `/goal` producer; the app enables the spine's persisted-goal stack with it |
| `@deepseek-ai/dsh-user-interaction` | the human question/answer seam used by clients that can complete ACP elicitation requests |
| `@deepseek-ai/dsh-session-persistence-jsonl` | durable JSONL session log (the bridge advertises `loadSession`) |
| `@deepseek-ai/dsh-acp` | the bridge that owns stdout for JSON-RPC and provides ACP-backed user answers when a leaf explicitly exposes a user-question tool |
@@ -36,6 +37,7 @@ Because the package wires no logger entry, an ACP leaf has **nothing to get wron
| `skills` | owner defaults | registry-cache, local-provider, and model-facing skill-tool config, routed through `dsh-agent-spine-demo` |
| `toolBash` | owner defaults | model-facing bash config routed through `dsh-agent-spine-demo`, including bash's producer-local `enableRunInBackground` |
| `toolTasks` | owner defaults | generic `task_output` wait bounds routed through `dsh-agent-spine-demo` |
| `goals` | owner defaults | persisted goal-domain and model-tool config; `false` removes the goal stack and `/goal` producer |
| `persistenceRoot` | `./.sessions` | the JSONL backend's root directory |
The leaf supplies the swappable backends: an LLM adapter (`llm-deepseek` for the real model, `llm-replay` for keyless snapshot replay) and a bash executor.
@@ -54,7 +56,7 @@ All diagnostics go to **stderr** — stdout is the protocol.
## Model Experience
Indirectly, through `dsh-agent-spine-demo` and `dsh-acp`, which compose each ACP agent's prompt, tools, and message history; this app bundle adds no model-bound content itself.
Indirectly, through `dsh-agent-spine-demo` and `dsh-acp`, which compose each ACP agent's prompt, goal tools, and message history. Direct `/goal` input and output remain outside the model, while accepted mutations append domain-owned model-visible snapshots.
#### KV Cache effect