# Personal AI Infrastructure — Feature Flags Module

**Version**: v1.1.9 | **Status**: Active | **Last Updated**: March 2026

## Overview

The Feature Flags module provides dynamic feature toggling with evaluation rules, rollout strategies, and persistent storage. It enables PAI agents to conditionally enable capabilities, gradually roll out new features, and A/B test agent behaviors.

## PAI Capabilities

### Feature Evaluation

```python
from codomyrmex.feature_flags import evaluation, strategies, storage

# Define and evaluate feature flags
# Supports percentage rollouts, user targeting, environment-based flags
```

### Rollout Strategies

```python
from codomyrmex.feature_flags import rollout

# Percentage-based rollouts for gradual feature release
# Canary deployments for agent capabilities
# Kill switches for emergency feature disabling
```

### Submodules

| Submodule | Purpose |
|-----------|---------|
| `evaluation` | Flag evaluation engine with rule matching |
| `rollout` | Rollout strategy definitions (percentage, canary, staged) |
| `storage` | Flag state persistence backends |
| `strategies` | Strategy implementations for flag resolution |

## Key Exports

| Export | Type | Purpose |
|--------|------|---------|
| `evaluation` | Module | Feature flag evaluation engine |
| `rollout` | Module | Rollout strategy management |
| `storage` | Module | Flag persistence backends |
| `strategies` | Module | Strategy implementations |

## PAI Algorithm Phase Mapping

| Phase | Feature Flags Contribution |
|-------|----------------------------|
| **PLAN** | Check which capabilities are enabled for current context |
| **EXECUTE** | Gate agent actions based on feature flag state |
| **VERIFY** | Validate that enabled features perform correctly |
| **LEARN** | Track feature flag performance metrics for rollout decisions |

## Architecture Role

**Extended Layer** — Cross-cutting concern consumed by `agents/`, `orchestrator/`, and `ci_cd_automation/` for conditional capability gating.

## MCP Tools

This module does not expose MCP tools directly. Access its capabilities via:
- Direct Python import: `from codomyrmex.feature_flags import ...`
- CLI: `codomyrmex feature_flags <command>`

## Navigation

- **Self**: [PAI.md](PAI.md)
- **Parent**: [../PAI.md](../PAI.md) — Source-level PAI module map
- **Root Bridge**: [../../../PAI.md](../../../PAI.md) — Authoritative PAI system bridge doc
- **Siblings**: [README.md](README.md) | [AGENTS.md](AGENTS.md) | [SPEC.md](SPEC.md) | [API_SPECIFICATION.md](API_SPECIFICATION.md)
