Name the runnable leaf for the line-oriented front door it owns, matching the existing tui-agent and acp-agent organization. Move the complete config, Code Mode overlay, tests, metadata, and generated composition graph together, then update every loader path and repository reference. Keep the shared model identity independent of its terminal front door by phrasing the persona as a coding-agent role rather than retaining the retired leaf name. Regenerate graph and tool catalogs and re-record each affected bilingual pair so derived documentation cannot point at the removed path.
139 lines
4.8 KiB
YAML
139 lines
4.8 KiB
YAML
# Readline coding REPL with swappable DeepSeek and local-bash backends.
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# `dsh-stdio-demo` supplies the agent spine, workspace instructions, generic
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# task controls, JSONL persistence, the line-oriented front door, and `main`.
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# HMR remains a leaf because it requires Loader internals; `demo:repl` passes
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# `--expose-internals`. The app bin loads the gitignored root `.env`; this file
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# reads `DEEPSEEK_API_KEY` and optional `DEEPSEEK_BASE_URL` through `!!js`.
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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 native 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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# Local executor for the app bundle's bash tool.
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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 app bundle pre-creates the REPL's `main` agent.
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- id: stdio-agent
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name: '@deepseek-ai/dsh-stdio-demo'
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config:
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provider: deepseek
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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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workspaceContext:
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maxBytes: 65536
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welcome: 'agent REPL ready. Give it a coding task.'
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ui:
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mode: readline
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# Keep the persona to identity and behavior; tool plugins own tool guidance.
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# The loop resolves {{model}} from this agent's configuration.
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persona: |
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You are a coding agent 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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# Replay-aware request pressure with one service-wide context window.
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- id: token-meter
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name: '@deepseek-ai/dsh-token-meter'
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# Summarize an older range when measured history approaches the context window.
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# Service-wide policy provides the ordinary threshold and retained-tail defaults.
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- id: compact-basic
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name: '@deepseek-ai/dsh-compact-basic'
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# Expose fresh-child `spawn` and completed-prefix `fork` through independent
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# in-process backends. Each tool instance needs a distinct `toolName`; the registry
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# rejects duplicates. These leaves follow the app because it provides `ctx.agents` and `ctx.tools`.
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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 worker-thread workflow engine fans a model-written JavaScript script's
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# `agent()` calls out through the spawn backend; the adjacent tool exposes it to the model.
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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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# `todo_write` replaces the logged whole list and renders as a stdio checklist or ACP plan.
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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# Policy loads before the model-facing filesystem tools so writes and edits require
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# an observed file. This single-session app resolves relative paths from the process cwd.
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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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# Bash-backed discovery tools (glob/grep): fixed ripgrep commands through the
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# local bash executor above — not ctx.fs. Capped results save the complete
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# formatted list through the spill backend below (ctx.spillStore, optional).
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- id: tool-fs-search
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name: '@deepseek-ai/dsh-tool-fs-search'
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# The tool-call timeout enforcer: arms each declared ToolDefinition.timeoutMs
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# (the search tools above declare 30s) as a deadline on exec.signal. Without
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# it a declared budget is advisory and only the bash executor's own timeout
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# backstop applies.
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- id: timeout-policy
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name: '@deepseek-ai/dsh-timeout-policy'
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# Tool-output spill stack: a local backend that saves oversized tool text under
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# a private session-scoped dir, and the tools/post-execute policy that replaces
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# an over-budget plain-text result with a preview + the spill locator/retrieval
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# hint. A leaf pair after the app (needs ctx.tools). The policy is a no-op until
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# a tool returns more than maxInlineBytes of plain text.
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- id: spill-local
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name: '@deepseek-ai/dsh-spill-local'
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- id: spill-policy
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name: '@deepseek-ai/dsh-spill-policy'
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config:
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maxInlineBytes: 50000
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