Logger: The Diagnostic Nervous System

The Logger package is the diagnostic backbone of the Vibe Project. It provides high-performance, context-aware structured logging used for system governance, metrics, and autonomous self-healing.

To ensure O(1) parsing and high diagnostic saliency, every log event MUST include a 4-character context identifier. This allow developers and agents to immediately filter for specific domains:

• VBPR: Vibe Predictor (Inference).
• STOR: Store / Persistence.
• STEM: System Brainstem (Core Lifecycle).
• CERE: Cerebellum (Coordination).
• A2UI: Agentic UI transitions.

• Thread-Safety: The LogGovernor is a final actor, ensuring that logging never blocks the calling thread or contributes to data races.
• OSLog Integration: Leverages the native Apple os_log system for efficient kernel-level buffering and console integration.
• Privacy Gating: Automatic redaction of potentially sensitive telemetry data in production builds.

Logger isn't just for text; it tracks system Vital Signs:

• Latency Snapshots: Tracking inference and sampling times.
• Throughput Metrics: Monitoring sensor update frequencies.
• Memory Pressure: Logging events that trigger elective neural pruning in the Store.

Strictly use the SiliconRegistry.

let logger = try registry.resolve(LoggerProtocol.self)
logger.info("Initializing sensory array", context: "SENS")

Every ?? or default case MUST log a warning.

let value = try? await store.read(key)
if value == nil {
    logger.warn("Cache miss for critical key", context: "STOR")
}

• [ ] Neural Log Prioritization: Using a small model to determine which logs are "High Entropy" and should be persisted vs discarded.
• [ ] JSON Structural Export: Automated generation of parseable diagnostic reports for CI/CD audit trails.
• [ ] Health-Triggered Verbosity: Dynamically increasing log level during detected system-instability (e.g., thermal throttling).

“To see the error is the first step towards rectifying the prediction.”