- acp/headless whole-config snapshot patches restate persistenceCompression: none so raw JSONL fixtures stay harvestable, and re-pin the recorded deepseek-v4-flash where the shipped config moved to pro - depth-two overlay gains the app-config re-pin master's other overlays carry - headless-agent stays on flash: goal/ralph overlays include it via a nested include, which a config patch cannot reach to re-pin - workspace-context scenarios re-record their session fixtures for the per-candidate scope keys and both-siblings loading; acp session fixtures otherwise return to master's (session/title + delegationDepth events)
53 lines
2.0 KiB
YAML
53 lines
2.0 KiB
YAML
# Keyless counterpart to depth-two.cordis.yml: apply the depth patch and replace
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# the live adapter with per-session replay.
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- id: base
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name: '@cordisjs/plugin-include'
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config:
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path: ./cordis.yml
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patches:
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- id: llm-deepseek
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name: '@deepseek-ai/dsh-llm-deepseek'
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disabled: true
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- id: sandbox
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name: '@deepseek-ai/dsh-sandbox-local'
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config:
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runnerCommand:
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- bash
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- -c
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- while [ "$1" != "--" ]; do shift; done; shift; exec "$@"
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- passthrough-runner
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runnerFailureSignatures:
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- 'passthrough-runner: profile rejected'
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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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maxDepth: 2
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# Re-pin the recorded model: cordis.yml ships deepseek-v4-pro, but this
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# scenario's corpus was captured on flash. A config patch replaces the
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# whole app config, so the base fields are restated verbatim.
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- id: acp-agent
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name: '@deepseek-ai/dsh-acp-demo'
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config:
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provider: deepseek
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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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persistenceCompression: none
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workspaceContext:
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maxBytes: 65536
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persona: |
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You are a coding assistant powered by the {{model}} model. Your working directory is {{cwd}}. Your bash tool runs under a file sandbox — a `[sandbox: file access denied …]` result is policy, not a command bug.
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Verify your work by running the code or tests. Keep answers brief and factual.
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- insert:
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- id: llm-replay
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name: '@deepseek-ai/dsh-llm-replay'
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config:
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providers:
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- id: deepseek
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name: DeepSeek
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models:
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- id: deepseek-v4-flash
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- id: deepseek-v4-pro
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