mirror of
https://github.com/deepseek-ai/deepseek-harness
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3f83a4ee96
Review round 2 (tianyicui inline comments): - dsh-system-prompt itself registers the harness:identity (-100) and deployment:persona (0) sections — they must survive a swapped loop plugin, so they leave dsh-agent-loop; the persona text is the plugin's own validated 'persona' config. The model/cwd variables STAY on the loop: runtime facts of the agents it drives. - AgentOptions.systemPrompt is deleted with all its forwarding plumbing: the app configs' systemPrompt keys become 'persona' routed through dsh-agent-core (schema = z.intersect of the owners'), the ACP bridge and tool-subagent stop carrying persona configuration, and subagent children now render the deployment persona like every other agent. - Example personas drop transport/interface trivia (ACP, CLI) — facts irrelevant to the model. - Root CONTEXT.md removed (not idiomatic); its persona definition was wrong under the new ownership anyway. - Docs, READMEs, the prompt-variables RFC, and generated catalogs updated; new loop test pins the assemble-waterfall escape valve (an emptied assembly sends NO system field).
130 lines
5.3 KiB
YAML
130 lines
5.3 KiB
YAML
# The acp-agent plugin tree: the ACP server. Also the snapshot RECORD config
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# (the dsh-acp-agent bin selects it for DSH_SNAPSHOT=record): a real llm-deepseek
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# run whose persisted log the snapshot harness harvests. The swappable DeepSeek
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# adapter, local bash/filesystem executors, the ACP server app
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# (@deepseek-ai/dsh-acp-agent), and the optional model-facing fs/subagent/todo
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# tools loaded below.
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#
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# CRITICAL: this tree loads NO stdout logger and NO hmr — stdout is reserved for
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# the ACP JSON-RPC protocol (see packages/ui/acp). That guarantee is now a
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# property of @deepseek-ai/dsh-acp-agent (it contains no logger entry), not a
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# leaf convention: there is no logger here to get wrong.
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#
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# Requires DEEPSEEK_API_KEY (and optionally DEEPSEEK_BASE_URL) — the
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# dsh-acp-agent bin loads the gitignored repo-root .env first (on STDERR only).
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# The DeepSeek adapter.
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- id: llm-deepseek
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name: '@deepseek-ai/dsh-llm-deepseek'
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config:
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apiKey: !!js process.env.DEEPSEEK_API_KEY
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baseURL: !!js process.env.DEEPSEEK_BASE_URL
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models:
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- deepseek-v4-flash
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- deepseek-v4-pro
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# Local bash executor for agent-core's tool-bash schema (one of several tool
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# stacks in this tree: filesystem, subagent, and todo_write load below).
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- id: bash
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name: '@deepseek-ai/dsh-bash-local'
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config:
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timeoutMs: 60000
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# The ACP server app: the agent-core spine + JSONL persistence + the ACP bridge.
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# Persistence root: $DSH_SNAPSHOT_SESSIONS_ROOT when the snapshot harness sets it
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# (so it can harvest / isolate the log), else ./.sessions for the demo.
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- id: acp-agent
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name: '@deepseek-ai/dsh-acp-agent'
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config:
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model: deepseek-v4-flash
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persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
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# The persona: identity + behavior only, nothing about transports or
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# tooling — tool guidance lives with each tool plugin (descriptions +
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# prompt sections). {{model}} and {{cwd}} are prompt variables the agent
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# loop resolves per session (every ACP session carries the client's cwd,
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# so the persona can state the workspace).
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persona: |
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You are a coding assistant powered by the {{model}} model. Your working
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directory is {{cwd}}.
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Verify your work by running the code or tests. Keep answers brief and
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factual.
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# The subagent seam + both in-process backends + two model-facing tools, as leaf
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# entries after the app (which provides ctx.agents/ctx.tools). spawn (a fresh
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# child) and fork (a child seeded with the parent's completed-turn prefix) are
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# both reachable by the model: dsh-tool-subagent is loaded once per backend with
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# a distinct toolName (subagent → spawn, subagent_fork → fork), so a multi-child
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# scenario can exercise both transports.
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- id: subagent
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name: '@deepseek-ai/dsh-subagent'
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- id: subagent-spawn
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name: '@deepseek-ai/dsh-subagent-spawn'
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config:
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providerName: spawn
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- id: subagent-fork
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name: '@deepseek-ai/dsh-subagent-fork'
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config:
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providerName: fork
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- id: tool-subagent
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: spawn
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toolName: subagent
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- id: tool-subagent-fork
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: fork
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toolName: subagent_fork
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# The model-facing todo_write tool: whole-list task tracking written to the
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# session log (todo/write), surfaced to the ACP client as a `plan` update.
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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# Filesystem capability stack: local provider, read-before-write/edit policy
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# gate, then the model-facing read/write/edit tools. Relative filesystem paths
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# resolve from the server launch cwd; the documented Zed setup launches this
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# demo from the harness checkout with `pnpm --dir`.
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- id: fs-local
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name: '@deepseek-ai/dsh-fs-local'
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config:
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cwd: !!js process.cwd()
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- id: fs-policy
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name: '@deepseek-ai/dsh-fs-policy'
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- id: tool-fs
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name: '@deepseek-ai/dsh-tool-fs'
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# The Claude Code hook bridge. `configPath` is PROCESS-LEVEL: it is read ONCE at
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# load and the relative `./hooks.json` resolves against the ACP server's launch
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# cwd, NOT each `session/new.cwd`. So a single `hooks.json` next to where the
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# server starts applies to every session; a project-local, per-session hooks.json
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# is NOT discovered (per-session config resolution is a TODO — see the bridge
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# README). With no file present the parse fails-soft and the bridge registers
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# nothing (a silent no-op). Hooks THEMSELVES run in the session cwd (the bridge
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# passes it as the workdir); only WHERE the config is read from is process-level.
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# stdout is the ACP JSON-RPC channel — the bridge's warnings go through ctx.logger
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# (no exporter here), never to stdout.
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- id: hooks-claude
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name: '@deepseek-ai/dsh-hooks-claude'
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config:
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configPath: ./hooks.json
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# The Codex hook bridge, loaded alongside the Claude one. It reads its OWN config
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# file (`./codex-hooks.json`, Codex's snake_case five-event dialect) — the two
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# bridges cannot share one file, so each owns a distinct path. Same process-level
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# read-once semantics and same fails-soft-when-absent contract: a launch cwd with
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# no `codex-hooks.json` registers nothing (a silent no-op through ctx.logger, never
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# stdout). The example ships both bridges so a scenario can exercise EITHER dialect
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# end-to-end by seeding the matching file in its workspace/.
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- id: hooks-codex
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name: '@deepseek-ai/dsh-hooks-codex'
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config:
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configPath: ./codex-hooks.json
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