Files
deepseek-harness/examples/acp-agent/depth-two.cordis.snapshot.yml
T
Turtle 7eec0d81ec test(snapshot): reconcile replay overlays with the merged configs and fixtures
- 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)
2026-07-22 14:29:52 +08:00

53 lines
2.0 KiB
YAML

# Keyless counterpart to depth-two.cordis.yml: apply the depth patch and replace
# the live adapter with per-session replay.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local'
config:
runnerCommand:
- bash
- -c
- while [ "$1" != "--" ]; do shift; done; shift; exec "$@"
- passthrough-runner
runnerFailureSignatures:
- 'passthrough-runner: profile rejected'
- id: tool-subagent
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: spawn
toolName: subagent
maxDepth: 2
# Re-pin the recorded model: cordis.yml ships deepseek-v4-pro, but this
# scenario's corpus was captured on flash. A config patch replaces the
# whole app config, so the base fields are restated verbatim.
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
workspaceContext:
maxBytes: 65536
persona: |
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.
Verify your work by running the code or tests. Keep answers brief and factual.
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro