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Multi-Agent Orchestration Quickstart

Use this flow inside an onboarded project.

python .pf/runtime/bin/pf.py orchestrator-plan create --project-root . --run example-run --title "Example multi-agent run" --apply
python .pf/runtime/bin/pf.py orchestrator-plan validate --project-root . --plan .pf/runs/example-run/orchestrator-plan.yaml
python .pf/runtime/bin/pf.py orchestrator-plan apply --project-root . --plan .pf/runs/example-run/orchestrator-plan.yaml --apply
python .pf/runtime/bin/pf.py orchestrator-plan status --project-root . --run example-run
python .pf/runtime/bin/pf.py worker-launch-prompt create --project-root . --task docs-worker --apply

Flat aliases are also available:

  • orchestrator-plan-create
  • orchestrator-plan-validate
  • orchestrator-plan-apply
  • orchestrator-plan-status
  • worker-launch-prompt-create
  • runtime-driver-list
  • worker-run-prepare
  • worker-run-start
  • worker-run-collect
  • supervisor-run

The plan template is templates/orchestrator-task-plan.yaml.

Plans may include:

runtime:
  default_driver: manual
  supervisor_profile: default
  start_policy: manual

Workers may set runtime_driver and depends_on. The default manual driver does not start a process; use Runtime driver and supervisor quickstart for the bounded supervised smoke flow.

To reuse the distribution example plan, run from the ProcessForge distribution root and point --project-root at an onboarded project:

python bin/pf.py orchestrator-plan create --project-root <project-root> --run example-run --title "Example multi-agent run" --answers examples/multi-agent-orchestration/minimal/orchestrator-task-plan.yaml --apply