## PRD: Dynamic Throttling Adjustment Based on Domain Performance

This PRD outlines the implementation of dynamic throttling adjustments for AIVA, based on collected domain-specific metrics and feedback from recipient email providers. This will optimize email deliverability and sender reputation.

### GPM-070: Implement Real-time Throttling Rate Adjustment Logic
**Goal:** Dynamically adjust throttling rates for each domain based on performance metrics.
**Acceptance Criteria:**
- The system can increase throttling rates for domains exhibiting good performance (low bounce rates, positive engagement).
- The system can decrease throttling rates for domains exhibiting poor performance (high bounce rates, spam complaints, throttling errors).
- Throttling adjustments are applied incrementally to avoid sudden spikes or drops in sending volume.
- The system logs all throttling adjustments made, including the reason and previous/current rates.
**Files:** `aiva/throttle/dynamic_throttle.py`, `aiva/throttle/models.py`
**Spawns:** Integrate recipient email provider feedback (e.g., SMTP error codes, feedback loops) into the dynamic throttling adjustment logic.

### GPM-071: Integrate Bounce Rate Monitoring into Throttling
**Goal:** Utilize bounce rate as a key performance indicator for dynamic throttling.
**Acceptance Criteria:**
- The system accurately tracks bounce rates per domain.
- Throttling rates decrease when bounce rates exceed a configurable threshold for a specific domain.
- Throttling rates increase when bounce rates are consistently below a configurable threshold for a specific domain.
- Clear logging of bounce rate changes and their impact on throttling.
**Files:** `aiva/metrics/bounce_rate.py`, `aiva/throttle/dynamic_throttle.py`
**Spawns:** Implement a mechanism for identifying and excluding transient bounces from bounce rate calculations.

### GPM-072: Incorporate Spam Complaint Data into Throttling
**Goal:** Use spam complaint data to adjust throttling rates to mitigate negative sender reputation.
**Acceptance Criteria:**
- The system ingests and processes spam complaint data from relevant sources (e.g., feedback loops, postmaster tools).
- Throttling rates significantly decrease for domains with high spam complaint rates.
- Alerts are triggered when spam complaint rates exceed critical thresholds.
- Accurate mapping of spam complaints to the originating domain.
**Files:** `aiva/metrics/spam_complaints.py`, `aiva/throttle/dynamic_throttle.py`
**Spawns:** Develop a system for proactively identifying and addressing the root causes of spam complaints.

### GPM-073: Implement Recipient Engagement Tracking
**Goal:** Track recipient engagement (opens, clicks) to inform throttling decisions.
**Acceptance Criteria:**
- The system tracks email opens and clicks per domain.
- Throttling rates gradually increase for domains with high open and click rates.
- Throttling rates remain stable or decrease for domains with low open and click rates.
- A mechanism to handle privacy concerns and opt-out requests related to engagement tracking.
**Files:** `aiva/metrics/engagement.py`, `aiva/throttle/dynamic_throttle.py`
**Spawns:** Develop a system for A/B testing different email content and sending strategies based on engagement metrics.

### GPM-074: Implement a Configuration Dashboard for Throttling Parameters
**Goal:** Provide a user interface for configuring throttling parameters.
**Acceptance Criteria:**
- A user interface exists to configure minimum and maximum throttling rates.
- A user interface exists to configure bounce rate thresholds for throttling adjustments.
- A user interface exists to configure spam complaint rate thresholds for throttling adjustments.
- Role-based access control is implemented to restrict access to sensitive throttling parameters.
**Files:** `aiva/ui/throttle_config.py`, `aiva/ui/templates/throttle_config.html`
**Spawns:** Implement automated anomaly detection for throttling parameters and alert administrators to potential misconfigurations.

### GPM-075: Log Throttling Decisions for Auditability
**Goal:** Maintain a detailed audit log of all throttling decisions.
**Acceptance Criteria:**
- All throttling adjustments are logged, including the domain, previous rate, new rate, and reason for the adjustment.
- Audit logs are stored securely and are easily searchable.
- Audit logs are retained for a configurable period.
**Files:** `aiva/logs/throttle_audit.py`, `aiva/throttle/dynamic_throttle.py`
**Spawns:** Develop a system for automatically generating reports on throttling performance and identifying potential issues.

### GPM-076: Implement Canary Testing for Throttling Changes
**Goal:** Introduce throttling changes gradually to minimize risk.
**Acceptance Criteria:**
- A mechanism exists to apply new throttling configurations to a small subset of traffic (canary testing).
- Key metrics (bounce rate, spam complaints, delivery rate) are monitored during canary testing.
- The system can automatically roll back throttling changes if issues are detected during canary testing.
**Files:** `aiva/throttle/canary.py`, `aiva/throttle/dynamic_throttle.py`
**Spawns:** Develop a more sophisticated A/B testing framework for comparing different throttling strategies.
