NotExpectedYet
4bc4296494
The preset's persona row copied the deployment's suffix, "Your working directory
is {{cwd}}". The harness substitutes only registered prompt variables and throws
on an unregistered one during prompt assembly — so when a harness release stopped
registering `cwd` (only `provider` and `model` remain), every session on this
preset failed its first turn with
unknown prompt variable "{{cwd}}" in section "deployment:persona-suffix"
and chat was dead rather than degraded. The row now carries the prefix only.
The folder is stated where it can follow the session instead: the facet binding
already names the facet, and now names the session folder as well when the two
differ — which is every conversation that started higher up and was narrowed, and
exactly the case where relative tool paths need saying out loud.
`test/presets.test.js` makes this class of failure impossible to reintroduce
silently: it scans every shipped preset for a variable reference and requires the
name to be one the harness registers, and holds this bundle's own rule and
binding text to no references at all. Restoring the old suffix fails it.
178 lines
9.1 KiB
YAML
178 lines
9.1 KiB
YAML
# OPTIONAL, and NOT part of this bundle's default patch list.
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#
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# It gives the shipped `standard` preset the same compaction budget the `facet`
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# preset uses, for anyone who wants the cost fix on every session rather than
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# only on scoped ones. Apply it as an overlay:
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#
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# dsh --profile web --patch ./presets/standard-compaction.patch.yml
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#
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# or add its path to `dsh.bundle.patch` in package.json.
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#
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# It is deliberately not applied for you, and the reason is a real hazard rather
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# than caution: a preset declaration replaces the whole plugin list, never merges
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# into it, so this file is a frozen copy of the shipped `standard` composition
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# plus two changes. When the harness next updates `standard` — a new tool, a
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# renamed row — this copy will not follow it, and the sessions on this preset
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# will silently lose whatever was added. Use it if you are prepared to re-copy
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# and re-apply when that happens; otherwise take the compaction settings into
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# whichever preset you actually run.
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#
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# The two changes from the shipped file are the `compaction-basic` row's config,
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# and the persona row's missing suffix: the shipped one names the working
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# directory with a prompt variable the harness no longer registers, and an
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# unregistered variable fails the whole turn instead of rendering. Re-copying
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# this file from a newer `standard` reintroduces that suffix — re-apply both.
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- insert:
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- id: preset-standard
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name: '@deepseek-ai/dsh-agent-preset'
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config:
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id: standard
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order: 1
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plugins:
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# No suffix, for the reason in `facet.patch.yml`: the harness registers
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# only `provider` and `model` as prompt variables, and an unregistered
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# one now throws instead of rendering. Nothing in this preset states the
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# session's working directory any more — a static prompt template cannot
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# name a folder that changes per session, so a deployment that needs it
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# belongs in the runtime context rather than here.
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- id: persona
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name: '@deepseek-ai/dsh-persona'
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config:
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prefix: You are a coding agent powered by the {{model}} model.
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- id: agent-instructions
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name: '@deepseek-ai/dsh-agent-instructions'
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config:
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maxBytes: 65536
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- id: tool-bash
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name: '@deepseek-ai/dsh-tool-bash'
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disabled: !!js process.platform === 'win32'
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- id: tool-pwsh
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name: '@deepseek-ai/dsh-tool-pwsh'
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disabled: !!js process.platform !== 'win32'
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- id: tool-fs
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name: '@deepseek-ai/dsh-tool-fs'
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- id: tool-fs-search
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name: '@deepseek-ai/dsh-tool-fs-search'
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config:
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sampleOverCapGlobResults: false
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- id: tool-jobs
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name: '@deepseek-ai/dsh-tool-jobs'
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- id: skill-filesystem
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name: '@deepseek-ai/dsh-skill-filesystem'
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- id: tool-skill
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name: '@deepseek-ai/dsh-tool-skill'
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- id: command-goal
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name: '@deepseek-ai/dsh-command-goal'
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- id: tool-goal
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name: '@deepseek-ai/dsh-tool-goal'
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- id: planning
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name: cordis:group
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group: true
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isolate:
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planMode: true
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config:
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- id: plan-mode
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name: '@deepseek-ai/dsh-plan-mode'
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config:
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section: |
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You are in plan mode. Stay in plan mode until exit_plan_mode succeeds or the user switches the session mode. Imperative language to implement changes means plan the implementation, not execute it. A user's conversational agreement — including an answer confirming something you asked — approves nothing and does not end plan mode; fold the confirmed decision into the plan and submit it through exit_plan_mode.
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Explore first. Use non-mutating reads, searches, static analysis, and checks to ground the plan in the actual repository. Do not edit or write files, change configuration, run formatters or code generation that rewrites tracked files, commit, or otherwise carry out the plan. Prefer existing functions and patterns over new machinery.
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The tool catalog stays the same across modes for request-cache stability. These plan-mode rules override any later tool description or guidance that suggests using mutation tools; those tools remain listed to keep the tool catalog unchanged. Do not use todo_write to track this planning phase: it tracks implementation after an approved plan, while the plan itself belongs in exit_plan_mode.
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Resolve discoverable facts by inspection. Use ask_user_question only for user-owned choices or material ambiguity that inspection cannot answer. Do not ask the user where code lives or how current behavior works when you can find out.
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Make the plan decision-complete: state the goal and success criteria; group implementation changes by subsystem; identify public API, schema, and data-flow changes; cover edge cases, failure modes, tests, acceptance criteria, and explicit assumptions. Keep it concise enough to review but detailed enough that another engineer can implement it without making design decisions.
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When ready, call exit_plan_mode with the complete plan markdown, starting with a # title. Make exit_plan_mode the only and final tool call in that assistant response: it presents the plan for approval, and implementation begins only in a later step after approval. Do not paste the final plan as a plain reply or ask "should I proceed?" through prose or ask_user_question. If review rejects it, incorporate the feedback and present again. If the review channel is unavailable or aborted, stay in plan mode and ask the user to switch modes manually; do not proceed with implementation.
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- id: compaction
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name: cordis:group
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group: true
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isolate:
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compaction: true
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toolResultPruner: true
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config:
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- id: compaction-basic
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name: '@deepseek-ai/dsh-compaction-basic'
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config:
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# See presets/facet.patch.yml for why these three values.
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thresholdRatio: 0.35
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retainTokens: 80000
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maxTokens: 16384
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- id: command-compact
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name: '@deepseek-ai/dsh-command-compact'
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- id: tool-result-pruner
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name: '@deepseek-ai/dsh-compaction-tool-result-pruner'
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config:
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thresholdChars: 8192
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headChars: 4096
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tailChars: 1024
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- id: delegation
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name: cordis:group
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group: true
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isolate:
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workflowEngine: true
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config:
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- id: tool-subagent-control
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name: '@deepseek-ai/dsh-tool-subagent-control'
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- id: tool-subagent-list-agents
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name: '@deepseek-ai/dsh-tool-subagent-control/list-agents'
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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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modelSelectionSettings: true
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backgroundMode: continuable
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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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backgroundMode: continuable
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- id: tool-subagent-codex
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: codex
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toolName: subagent_codex
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: tool-subagent-claude-code
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: claude-code
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toolName: subagent_claude_code
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: workflow-ptc
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name: '@deepseek-ai/dsh-workflow-ptc'
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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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- id: tool-ralph
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name: '@deepseek-ai/dsh-tool-ralph'
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disabled: true
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config:
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subagentProvider: spawn
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maxRounds: 64
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- id: tool-ask-user
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name: '@deepseek-ai/dsh-tool-ask-user'
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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config:
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allowParallelInProgress: true
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- id: tool-web
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name: '@deepseek-ai/dsh-tool-web'
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config:
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fetch: true
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searchTimeoutMs: 60000
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- id: present
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name: '@deepseek-ai/dsh-tool-present'
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- id: tool-plugin-manager
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name: '@deepseek-ai/dsh-plugin-manager/tools'
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disabled: true
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