pilot-workers 0.2.0

Dispatch bounded tasks to isolated LLM workers (GLM, Kimi, and more)

pilot-workers

Dispatch bounded tasks to isolated LLM workers. Your main AI agent (Claude, Codex, or any planner) stays in control of requirements, planning, and verification — the worker only executes what it's told.

What it does

• Provider isolation: each model (GLM, Kimi, or your own) gets its own credentials, XDG directories, logs, and session storage. No cross-contamination.
• Fixed routing: provider, model, and endpoint are locked per YAML config. Tasks cannot override them.
• Security by default: API keys never appear in CLI args, environment variables, task contracts, or logs. Output is auto-redacted.
• Five modes: code (edit), explore (read-only), test (run tests), review (read-only audit), resume (continue a prior code session).
• Observable: worker_runner.started → heartbeats → worker_runner.summary. Human-readable live log at latest.log for tail -f.
• Pluggable runners: currently wraps OpenCode via @ai-sdk/openai-compatible; the runner interface is designed for future alternatives (Aider, Continue, etc.).

Quick start

# 1. Install the pinned OpenCode runtime
pilot-workers runtime install

# 2. Add a provider (YAML files in src/pilot_workers/data/providers/)
# GLM and Kimi are included; add your own by copying the template

# 3. Configure credentials (interactive, key never displayed)
python3 -m pilot_workers.credentials glm
python3 -m pilot_workers.credentials kimi-k3

# 4. Verify
python3 -m pilot_workers.cli.run --provider glm --mode explore --workdir . --task "hello" --dry-run

# 5. Run a real task
python3 -m pilot_workers.cli.run \
  --provider glm --mode code \
  --workdir /path/to/project \
  --task-file /path/to/task.md

Adding a new provider

Drop a YAML file in data/providers/ (inside the package):

key: deepseek
provider_id: deepseek-worker
model_id: deepseek-coder-v3
base_url: https://api.deepseek.com/v1
display_name: DeepSeek Coder V3
context_tokens: 128000
output_tokens: 8192

Then python3 -m pilot_workers.credentials deepseek and you're done.

Host integration

The host is whatever AI agent acts as the planner — Claude, Codex, Gemini, GLM itself, or anything that can write a task file and call the CLI.

integrations/ has ready-made configs for current hosts:

• claude-host/: 12 agents + 8 slash commands (/glm:code, /kimi:explore, etc.)
• codex-host/: $glm / $kimi / $ds skill entry points

Adding a new host: create integrations/<name>-host/, put whatever config your host needs, point it at python3 -m pilot_workers.cli.run. See integrations/README.md.

Architecture

See docs/architecture.md for the shared contract, security model, and verification checklist.

License

MIT