# Snapshot-test RECORD config: a real run whose persisted session JSONL is
# harvested into a scenario fixture. Identical to cordis.yml (real llm-deepseek
# adapter + JSONL persistence) — recording must exercise the REAL model so the
# recorded log is a genuine product of the system. Needs DEEPSEEK_API_KEY.
#
# It is a separate file (rather than reusing cordis.yml) only so the snapshot
# harness selects it explicitly via $DSH_SNAPSHOT=record and so its persistence
# root can be pointed at the harness's harvest directory by the same env the
# replay path uses. The graceful-shutdown path in start.ts flushes persistence
# before exit so the harvested log is complete.

- id: timer
  name: '@cordisjs/plugin-timer'

# Shared provider/tool core, INCLUDING the real llm-deepseek adapter.
- id: base
  name: '@cordisjs/plugin-include'
  config:
    path: '../base.yml'

- id: agent-loop
  name: '@deepseek-ai/dsh-agent-loop'
  config:
    agents: []

- id: session-persistence
  name: '@deepseek-ai/dsh-session-persistence-jsonl'
  config:
    root: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT

- id: acp
  name: '@deepseek-ai/dsh-acp'
  config:
    model: deepseek-v4-flash
    systemPrompt: |
      You are a coding assistant driven over the Agent Client Protocol.

      Your only tools are bash (plus bash_output/bash_kill for background
      tasks). Do ALL file operations through bash: read with cat/sed/head,
      search with grep, write with heredocs (cat <<'EOF' > file), edit with
      sed or a rewrite. Each bash call runs in a fresh shell — pass workdir
      instead of cd. Check the [exit code: N] marker; verify your work. Keep
      answers brief and factual.