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

# REPL agent with swappable DeepSeek and local-bash backends. `dsh-stdio-agent`
# supplies the agent-core spine, logging, JSONL persistence, readline UI, and `main` agent.
# HMR remains a leaf because it requires Loader internals; `demo:repl` passes
# `--expose-internals`. The app bin loads the gitignored root `.env`; this file
# reads `DEEPSEEK_API_KEY` and optional `DEEPSEEK_BASE_URL` through `!!js`.

# Hot-module reload for the dev/demo loop (needs `node --expose-internals`).
- id: hmr
  name: '@cordisjs/plugin-hmr'
  config:
    root: ['.']

# 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).
- id: llm-deepseek
  name: '@deepseek-ai/dsh-llm-deepseek'
  config:
    apiKey: !!js process.env.DEEPSEEK_API_KEY
    baseURL: !!js process.env.DEEPSEEK_BASE_URL
    models:
      - deepseek-v4-pro
      - deepseek-v4-flash

# Local executor for the app bundle's bash tool.
- id: bash
  name: '@deepseek-ai/dsh-bash-local'
  config:
    timeoutMs: 60000

# The app bundle pre-creates the REPL's `main` agent.
- id: stdio-agent
  name: '@deepseek-ai/dsh-stdio-agent'
  config:
    model: deepseek-v4-flash
    # Set RESUME_SESSION_ID to continue a prior persisted session (the ids live
    # under ./.sessions); unset starts a fresh session each run.
    resumeSessionId: !!js process.env.RESUME_SESSION_ID
    persistenceRoot: './.sessions'
    workspaceContext:
      maxBytes: 65536
    welcome: 'agent REPL ready. Give it a coding task.'
    # Keep the persona to identity and behavior; tool plugins own tool guidance.
    # The loop resolves {{model}} from this agent's configuration.
    persona: |
      You are coding-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.
# This leaf consumes `ctx.llm` and the app's `agent/pre-step` seam.
- id: compact-basic
  name: '@deepseek-ai/dsh-compact-basic'
  config:
    contextWindow: 128000
    thresholdRatio: 0.8
    retainTokens: 20480
    summarizationModel: ''
    maxTokens: 8192
    compactionRetries: 1

# Expose fresh-child `spawn` and completed-prefix `fork` through independent
# in-process backends. Each tool instance needs a distinct `toolName`; the registry
# rejects duplicates. These leaves follow the app because it provides `ctx.agents` and `ctx.tools`.
- 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

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


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

- id: tool-workflow
  name: '@deepseek-ai/dsh-tool-workflow'
# `todo_write` replaces the logged whole list and renders as a stdio checklist or ACP plan.
- 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. This single-session app resolves relative paths 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'