Epic: RLAIF Reward Function and Model Orchestration Pipeline

Context & Blueprint

With the introduction of Neural Link Action Recorders (#9889 / Session 8f55968e-45d3-4012-ba2f-d1757061e1d2), we capture raw architectural traces. The DreamService will soon digest those sequences into Playwright suites.

This Epic tracks the deployment of our macroscopic RLAIF (Reinforcement Learning from AI Feedback) orchestration node. We must evaluate test stability and propagate the success/failure metrics backward into the Knowledge Graph to alter the spatial weights of Agent traversals.

Sub-Issues Required

Note: The following sub-issues must be created and linked to this Epic via the parent_child relationship topology.

1. Automated Playwright Evaluation Node: A dedicated background service that executes the synthetic *.spec.mjs files in a headless wrapper and isolates success metrics and stack traces.
2. Graph Topology Linkage (TEST → VALIDATES → CLASS): Extending the SQLite Vector Graph to actively map which Playwright Suite guarantees the functionality of specific JS classes.
3. Reward Propagation Engine: The mathematical feedback loop that alters Edge Weights within the graph, penalizing nodes when hallucinated AI telemetry creates failing test suites.

References

• Origin Session ID: 8f55968e-45d3-4012-ba2f-d1757061e1d2
• Related PRs: #9902