deepseek-harness/examples/headless-agent/cordis.yml

# One-shot coding agent with format-pure stdout. The app bin loads the
# gitignored root `.env`; this file reads `DEEPSEEK_API_KEY` and optional
# `DEEPSEEK_BASE_URL` through `!!js`.

# The DeepSeek adapter. Swap to '@deepseek-ai/dsh-llm-pi-ai' for the pi-ai-backed
# twin (same config shape; `reasoning: high` replaces thinking/reasoningEffort).
# Shipped default: full thinking at max effort on every request (wire-only
# defaults; they never enter the request header).
- id: llm-deepseek
  name: '@deepseek-ai/dsh-llm-deepseek'
  config:
    apiKey: !!js process.env.DEEPSEEK_API_KEY
    baseURL: !!js process.env.DEEPSEEK_BASE_URL
    thinking: enabled
    reasoningEffort: max
    models:
      - id: deepseek-v4-pro
        contextWindow: 128000
      - id: deepseek-v4-flash
        contextWindow: 128000

- id: bash
  name: '@deepseek-ai/dsh-bash-local'
  config:
    timeoutMs: 60000

# The app bundle pre-creates one fresh `main` agent per invocation.
- id: cli-agent
  name: '@deepseek-ai/dsh-cli-demo'
  config:
    provider: deepseek
    # Stays on flash: the goal/ralph replay corpora were recorded on it, and
    # their nested-include overlays cannot re-pin the app config (a config
    # patch cannot target an entry behind a nested include).
    model: deepseek-v4-flash
    persistenceRoot: './.sessions'
    persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"
    workspaceContext:
      maxBytes: 65536
    persona: |
      You are headless-agent, a coding assistant powered by the {{model}} model.

      Verify your work by running the code or tests. Keep answers brief and
      factual.

# Summarize an older range when derived history approaches the context window.
- id: token-meter
  name: '@deepseek-ai/dsh-token-meter'

- id: compact-basic
  name: '@deepseek-ai/dsh-compact-basic'
  config:
    thresholdRatio: 0.8
    retainRatio: 0.16
    maxTokens: 8192
    compactionRetries: 1

# Expose fresh-child `spawn` and completed-prefix `fork` through independent
# in-process backends.
- id: subagent
  name: '@deepseek-ai/dsh-subagent'

- id: subagent-spawn
  name: '@deepseek-ai/dsh-subagent-spawn'
  config:
    providerName: spawn

- id: subagent-fork
  name: '@deepseek-ai/dsh-subagent-fork'
  config:
    providerName: fork

- id: tool-subagent
  name: '@deepseek-ai/dsh-tool-subagent'
  config:
    provider: spawn
    toolName: subagent
    maxDepth: 1

- id: tool-subagent-fork
  name: '@deepseek-ai/dsh-tool-subagent'
  config:
    provider: fork
    toolName: subagent_fork
    maxDepth: 1

# The worker-thread workflow engine fans a model-written JavaScript script's
# `agent()` calls out through the spawn backend.
- id: workflow-workerthread
  name: '@deepseek-ai/dsh-workflow-workerthread'
  config:
    provider: spawn

- id: tool-workflow
  name: '@deepseek-ai/dsh-tool-workflow'

# A separate fixed consumer demonstrates fresh-agent Ralph iteration without
# changing the workflow tool or same-session goal behavior.
- id: tool-ralph
  name: '@deepseek-ai/dsh-tool-ralph'

# `todo_write` replaces the logged whole list.
- id: tool-todo
  name: '@deepseek-ai/dsh-tool-todo'

# Policy loads before the model-facing filesystem tools so writes and edits
# require an observed file. Relative paths resolve from the process cwd.
- id: fs-local
  name: '@deepseek-ai/dsh-fs-local'
  config:
    cwd: !!js process.cwd()

- id: fs-policy
  name: '@deepseek-ai/dsh-fs-policy'

- id: tool-fs
  name: '@deepseek-ai/dsh-tool-fs'