Implements the split-the-filesystem-seam RFC. ctx.fs shrinks to a text-storage provider seam (resolve/stat/readText/streamText/writeText/editText with branded FsTargetKey/FsVersion and an explicit FsWriteExpectation); the new dsh-file-context package owns the model-facing policy (read windowing, observed-state, write/edit freshness) as the concrete ctx.fileContext service. Authorization is now freshness-based rather than full/partial view: a windowed read records the file version and authorizes a later edit when the file is unchanged, removing the dead-end where reading lines 100-150 of a large file could not edit line 120. editText stays a provider primitive so version guard + literal match + atomic rewrite remain one critical section, and the stale check runs before matching so a stale edit reports FS_STALE_VERSION. tool-fs injects fileContext, never reaching around to ctx.fs (the no-bypass contract).
60 lines
2.6 KiB
YAML
60 lines
2.6 KiB
YAML
# The coding-agent plugin tree: the real coding agent. 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:coding` 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 (the model's only tool, via agent-core's tool-bash schema).
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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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# real coding agent 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: 'coding-agent ready. Give it a coding task (bash is its only tool).'
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systemPrompt: |
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You are coding-agent, a CLI coding assistant.
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Your only tools are bash (plus bash_output/bash_kill for background
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tasks). Do ALL file operations through bash: read with cat/sed/head,
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search with grep, write with heredocs (cat <<'EOF' > file), edit
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with sed or a rewrite. Each bash call runs in a fresh shell — pass
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workdir instead of cd, and never rely on shell state between calls.
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Check the [exit code: N] marker on every command; investigate
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failures before moving on. Verify your work by running the code or
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tests. Keep answers brief and factual.
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