Pattern Proposal: Sequential Pipeline Flow Runner
Summary
Coordinate multi-stage agentic analysis and generation tasks through an orchestrated sequential runner passing a common execution context.
Candidate Pattern
- ID:
sequential-pipeline-flow-runner - Classification: intelligence
- Maturity: established
- Type: implemented
Observed Signals
No specific signals listed.
Evidence
Supporting Evidence
- src/cas_runner/runner.py (FlowRunner) - Core runner coordinating multi-step execution
- src/cas_runner/cli.py (main) - Command line interface initiating FlowRunner
Scope Assessment
- Evidence Strength: high
- Confidence: high
- Applies to: ideas-to-life-cas
Rationale
- Intent: Provide a predictable execution lifecycle across knowledge ingestion, steering generation, and compliance evaluation.
- Context: Agent operations depend on the sequential outputs of prior stages (e.g. diff extraction -> steering projection -> governance check).
- Force: Autonomous dynamic planning creates unpredictable execution order
- Force: Complex workflows require reliable step ordering and context handoffs
Traceability
Artifact source: proposed-patterns