imccyu
0d11a3afc7
Pure mechanical rename now that the package's internals are the worker-thread engine: directory, package name, spec/e2e filenames, module tags and logger prefixes, tsconfig/knip/run-gates/AGENTS.md references, example cordis.yml plugin ids, doc links; catalogs regenerated and the lockfile refreshed.
135 lines
5.0 KiB
YAML
135 lines
5.0 KiB
YAML
# The coding-agent plugin tree: the REPL agent demo. The two swappable
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# backends — the DeepSeek adapter and the local bash executor — plus `hmr` for
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# the dev/demo reload loop, then the stdio chat app (@deepseek-ai/dsh-stdio-
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# agent), which bundles the whole agent-core spine (timer, llm, sessions,
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# system-prompt, tools, agents, invariants, tool-bash, agent-loop), the console
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# logger, JSONL persistence, the readline UI, and a pre-created `main` agent.
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#
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# `hmr` is a leaf entry (not baked into dsh-stdio-agent): it is a Loader-only
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# dev plugin that needs `--expose-internals` — the `demo:repl` script passes
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# it. Requires DEEPSEEK_API_KEY (and optionally DEEPSEEK_BASE_URL) in the
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# environment — the dsh-stdio-agent bin loads the gitignored repo-root .env
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# first. cordis.yml reads them via the `!!js` tag.
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# Hot-module reload for the dev/demo loop (needs `node --expose-internals`).
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- id: hmr
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name: '@cordisjs/plugin-hmr'
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config:
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root: ['.']
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# The DeepSeek adapter. Swap to '@deepseek-ai/dsh-llm-pi-ai' for the pi-ai-backed
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# twin (same config shape; `reasoning: high` replaces thinking/reasoningEffort).
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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-pro
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- deepseek-v4-flash
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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 stdio chat app: the whole spine + front-door cluster, configured for a
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# REPL agent demo driving a pre-created `main` agent.
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- id: stdio-agent
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name: '@deepseek-ai/dsh-stdio-agent'
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config:
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model: deepseek-v4-flash
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# Set RESUME_SESSION_ID to continue a prior persisted session (the ids live
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# under ./.sessions); unset starts a fresh session each run.
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resumeSessionId: !!js process.env.RESUME_SESSION_ID
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persistenceRoot: './.sessions'
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welcome: 'agent REPL ready. Give it a coding task.'
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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}} is the prompt variable the agent loop
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# resolves from this agent's configured model.
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persona: |
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You are coding-agent, a coding assistant powered by the {{model}} model.
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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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# Automatic context compaction: when the derived history approaches the model's
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# context window, summarize an older range into a checkpoint so a long-running
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# or tool-heavy session keeps fitting. A leaf entry (needs ctx.llm + the
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# agent-loop's `agent/pre-step` seam from the app above).
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- id: compact-basic
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name: '@deepseek-ai/dsh-compact-basic'
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config:
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contextWindow: 128000
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thresholdRatio: 0.8
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retainTokens: 20480
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summarizationModel: ''
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maxTokens: 8192
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compactionRetries: 1
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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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# independent backends over the shared dsh-subagent-inprocess driver. Exposing
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# both transports is pure config: load each backend, then load dsh-tool-subagent
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# once per backend with a distinct toolName (the tool registry rejects a
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# duplicate name) — no code change.
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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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# Dynamic workflows: the worker-thread engine (ctx.workflows) over the spawn
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# subagent backend above, plus the model-facing `workflow` tool. The model
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# writes a JavaScript orchestration script (meta + body); the engine runs it
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# in its own worker thread and fans agent() calls out as spawn children.
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- id: workflow-workerthread
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name: '@deepseek-ai/dsh-workflow-workerthread'
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config:
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provider: spawn
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- id: tool-workflow
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name: '@deepseek-ai/dsh-tool-workflow'
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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), rendered as a stdio checklist / ACP plan.
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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. stdio-agent is a single
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# session, so relative paths resolve from the process cwd (the workspace).
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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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