## PRD: Implement Configurable System Load Thresholds for Dynamic Throttling

This PRD focuses on enabling dynamic throttling of AIVA's resource consumption based on configurable system load thresholds. This will allow AIVA to adapt to varying server conditions and prevent overload.

### GPM-064: Define System Load Threshold Configuration Schema
**Goal:** Establish a clear and consistent schema for configuring system load thresholds.
**Acceptance Criteria:**
- A JSON schema defining the structure for system load thresholds (CPU, Memory, Network).
- The schema includes configurable "high" and "critical" thresholds for each metric.
- The schema includes units and descriptions for each threshold.
**Files:** `config/schemas/system_load_thresholds.json`
**Spawns:** Implement loading and validating system load threshold configurations.

### GPM-065: Load and Validate System Load Threshold Configurations
**Goal:** Load system load thresholds from a configuration file and validate them against the defined schema.
**Acceptance Criteria:**
- A function/module responsible for loading system load thresholds from a specified file path.
- The function/module validates the loaded configuration against the defined JSON schema (GPM-064).
- Clear error handling for invalid configurations, providing informative error messages.
**Files:** `aiva/system_load/config_loader.py`, `tests/aiva/system_load/test_config_loader.py`
**Spawns:** Implement monitoring of system load metrics using the established configuration.

### GPM-066: Monitor System Load Metrics Against Thresholds
**Goal:** Continuously monitor system load metrics (CPU, Memory, Network) and compare them against configured thresholds.
**Acceptance Criteria:**
- Implement a monitoring component that retrieves system load metrics (building upon GPM-063).
- The component compares these metrics to the thresholds loaded in GPM-065.
- The component flags when metrics exceed the "high" and "critical" thresholds.
**Files:** `aiva/system_load/monitor.py`, `tests/aiva/system_load/test_monitor.py`
**Spawns:** Integrate threshold breaches with the throttling service to trigger adjustments.

### GPM-067: Integrate Threshold Breaches with Throttling Service
**Goal:** Trigger throttling adjustments based on breached system load thresholds.
**Acceptance Criteria:**
- The system load monitor (GPM-066) can communicate with the AIVA throttling service.
- When a "high" threshold is breached, the monitor triggers a moderate throttling reduction.
- When a "critical" threshold is breached, the monitor triggers a significant throttling reduction.
**Files:** `aiva/system_load/monitor.py` (modified), `aiva/throttling/throttler.py` (modified)
**Spawns:** Implement a mechanism for AIVA to automatically recover from throttling (when system load decreases).

### GPM-068: Implement Logging for Threshold Breaches and Throttling Actions
**Goal:** Log all threshold breaches and corresponding throttling actions for auditing and debugging purposes.
**Acceptance Criteria:**
- All "high" and "critical" threshold breaches are logged, including the metric, the threshold value, and the actual value.
- All throttling actions (reductions) are logged, including the reason (threshold breach) and the magnitude of the reduction.
- Log messages are clear, informative, and include relevant timestamps.
**Files:** `aiva/system_load/monitor.py` (modified), `aiva/throttling/throttler.py` (modified)
**Spawns:** Implement configurable throttling strategies (e.g., different reduction percentages for different metrics).

### GPM-069: Add Configuration Options for Throttling Sensitivity
**Goal:** Allow for adjusting the sensitivity of the throttling mechanism.
**Acceptance Criteria:**
- Introduce configuration options for the throttling sensitivity (e.g., a multiplier that affects the magnitude of throttling reductions).
- The configuration options should be easily adjustable.
- Changes to the configuration take effect without requiring a service restart.
**Files:** `aiva/throttling/throttler.py` (modified), `config/aiva_config.json` (example)
**Spawns:** Implement a user interface for monitoring system load and adjusting throttling parameters in real-time.

### GPM-070: Create a Testing Harness for System Load Monitoring and Throttling
**Goal:** Develop a robust testing harness to simulate system load conditions and verify correct throttling behavior.
**Acceptance Criteria:**
- A testing harness that can simulate CPU, memory, and network load.
- Tests that verify throttling is triggered correctly when thresholds are breached.
- Tests that verify throttling is reduced when system load decreases.
**Files:** `tests/aiva/system_load/test_harness.py`, `tests/aiva/system_load/integration_test.py`
**Spawns:** Implement predictive throttling based on historical system load data.
