gilesb ff195a7ce5 Add multi-step DAG execution support ...

tasks.py:
- Import artdag DAG, Node, Engine, Executor
- Register executors for effect:dog, effect:identity, SOURCE
- Add execute_dag task for running full DAG workflows
- Add build_effect_dag helper for simple effect-to-DAG conversion

server.py:
- Add use_dag and dag_json fields to RunRequest
- Update create_run to support DAG mode
- Handle both legacy render_effect and new execute_dag result formats
- Import new tasks (execute_dag, build_effect_dag)

The DAG engine executes nodes in topological order with automatic
caching. This enables multi-step pipelines like: source -> effect1 ->
effect2 -> output.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-08 01:45:29 +00:00

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