# Ensemble Review Schema
# Based on REF-017 Self-Consistency Research
# Issues: #159, #160

$schema: "https://json-schema.org/draft/2020-12/schema"
$id: "https://aiwg.io/schemas/ensemble-review/v1"
title: "Ensemble Review Configuration Schema"
description: |
  Schema for configurable ensemble review patterns with voting
  thresholds and confidence scoring per REF-017 Self-Consistency.

type: object
required:
  - version
  - patterns
  - confidence_scoring

properties:
  version:
    type: string
    pattern: "^\\d+\\.\\d+\\.\\d+$"
    default: "1.0.0"

  patterns:
    type: object
    additionalProperties:
      $ref: "#/$defs/ReviewPattern"

  confidence_scoring:
    $ref: "#/$defs/ConfidenceConfig"

  escalation:
    $ref: "#/$defs/EscalationConfig"

$defs:
  ReviewPattern:
    type: object
    required:
      - panel_size
      - threshold
    properties:
      panel_size:
        type: integer
        enum: [3, 5, 7]
        description: "Number of independent reviewers"

      threshold:
        type: number
        minimum: 0.5
        maximum: 1.0
        description: "Agreement threshold for acceptance"

      description:
        type: string

      use_cases:
        type: array
        items:
          type: string
        description: "When to use this pattern"

  ConfidenceConfig:
    type: object
    description: "Confidence scoring from reviewer agreement"
    properties:
      enabled:
        type: boolean
        default: true

      levels:
        type: object
        properties:
          high:
            type: object
            properties:
              threshold:
                type: number
                default: 0.8
              action:
                type: string
                default: "accept"
          medium:
            type: object
            properties:
              threshold:
                type: number
                default: 0.6
              action:
                type: string
                default: "accept_with_note"
          low:
            type: object
            properties:
              threshold:
                type: number
                default: 0.5
              action:
                type: string
                default: "flag_for_review"
          escalate:
            type: object
            properties:
              threshold:
                type: number
                default: 0.5
              below_threshold_action:
                type: string
                default: "require_human_decision"

      metadata_injection:
        type: boolean
        default: true
        description: "Add confidence metadata to reviewed artifacts"

  EscalationConfig:
    type: object
    description: "Automatic escalation rules"
    properties:
      enabled:
        type: boolean
        default: true

      rules:
        type: array
        items:
          type: object
          properties:
            trigger:
              type: string
              enum:
                - low_confidence
                - escalate_confidence
                - dissent_detected
                - critical_artifact
            action:
              type: string
              enum:
                - expand_panel
                - human_review
                - additional_analysis
            target_panel_size:
              type: integer

# Default review patterns
default_patterns:
  quick_check:
    panel_size: 3
    threshold: 0.67
    description: "Fast review for low-risk changes"
    use_cases:
      - "Documentation updates"
      - "Minor bug fixes"
      - "Configuration changes"

  standard_review:
    panel_size: 5
    threshold: 0.60
    description: "Standard review for typical changes"
    use_cases:
      - "Feature implementation"
      - "Test additions"
      - "Refactoring"

  critical_review:
    panel_size: 5
    threshold: 0.80
    description: "Thorough review for important changes"
    use_cases:
      - "Architecture decisions"
      - "Security-sensitive code"
      - "API contracts"

  unanimous_required:
    panel_size: 5
    threshold: 1.00
    description: "All reviewers must agree"
    use_cases:
      - "Breaking changes"
      - "Public API changes"
      - "Compliance-related changes"

# Confidence scoring tables
confidence_tables:
  panel_5:
    - agreement: "5/5 (100%)"
      score: 1.00
      confidence: HIGH
      action: "Accept"
    - agreement: "4/5 (80%)"
      score: 0.80
      confidence: MEDIUM
      action: "Accept with note"
    - agreement: "3/5 (60%)"
      score: 0.60
      confidence: LOW
      action: "Flag for human review"
    - agreement: "<3/5 (<60%)"
      score: "<0.60"
      confidence: ESCALATE
      action: "Require human decision"

  panel_3:
    - agreement: "3/3 (100%)"
      score: 1.00
      confidence: HIGH
      action: "Accept"
    - agreement: "2/3 (67%)"
      score: 0.67
      confidence: MEDIUM
      action: "Accept with note"
    - agreement: "<2/3 (<67%)"
      score: "<0.67"
      confidence: LOW
      action: "Escalate to 5-panel"

# Review result schema
review_result:
  type: object
  required:
    - artifact_path
    - pattern_used
    - panel_size
    - agreement
    - confidence
  properties:
    artifact_path:
      type: string
    pattern_used:
      type: string
    panel_size:
      type: integer
    timestamp:
      type: string
      format: date-time
    reviewers:
      type: array
      items:
        type: object
        properties:
          reviewer_id:
            type: string
          decision:
            type: string
            enum: [approve, reject, abstain]
          reasoning:
            type: string
    agreement:
      type: string
      description: "e.g., '4/5 (80%)'"
    agreement_score:
      type: number
    confidence:
      type: string
      enum: [HIGH, MEDIUM, LOW, ESCALATE]
    confidence_score:
      type: number
    consensus_decision:
      type: string
    dissenting_opinions:
      type: array
      items:
        type: object
        properties:
          reviewer_id:
            type: string
          opinion:
            type: string
    reasoning_comparison:
      type: object
      properties:
        common_themes:
          type: array
          items:
            type: string
        divergent_approaches:
          type: array
          items:
            type: string
    escalation_required:
      type: boolean
    human_override:
      type: object
      properties:
        applied:
          type: boolean
        decision:
          type: string
        reasoning:
          type: string
        timestamp:
          type: string
          format: date-time

# Artifact metadata injection
metadata_template:
  yaml: |
    review:
      pattern: {pattern_name}
      panel_size: {panel_size}
      agreement: {agreement}
      confidence: {confidence}
      confidence_score: {confidence_score}
      timestamp: {timestamp}
      escalation_required: {escalation_required}

# CLI interface
cli:
  command: "aiwg review-ensemble"
  options:
    - name: "--artifact"
      required: true
      description: "Path to artifact to review"
    - name: "--pattern"
      required: false
      default: "standard_review"
      description: "Review pattern to use"
    - name: "--agent"
      required: false
      description: "Agent type for reviewers"

  examples:
    - command: |
        aiwg review-ensemble \
          --artifact ".aiwg/architecture/adr-001.md" \
          --pattern "critical_review" \
          --agent "architect"
      description: "Critical review of architecture decision"

    - command: |
        aiwg review-ensemble \
          --artifact "src/auth/login.ts" \
          --pattern "standard_review"
      description: "Standard code review"

# Report template
report_template:
  markdown: |
    # Ensemble Review Results

    **Artifact:** {artifact_path}
    **Pattern:** {pattern_name}
    **Timestamp:** {timestamp}

    ## Summary

    | Metric | Value |
    |--------|-------|
    | Panel Size | {panel_size} reviewers |
    | Threshold | {threshold} |
    | Agreement | {agreement} |
    | Confidence | {confidence} |

    ## Consensus Decision

    {consensus_decision}

    ## Reviewer Breakdown

    {reviewer_table}

    ## Reasoning Comparison

    ### Common Themes
    {common_themes}

    ### Divergent Approaches
    {divergent_approaches}

    ## Dissenting Opinions

    {dissenting_opinions}

    ## Recommendation

    {recommendation}

# Agent protocol
agent_protocol:
  run_ensemble_review:
    description: "Execute ensemble review"
    steps:
      - load_artifact
      - select_pattern
      - spawn_reviewer_agents
      - collect_independent_reviews
      - calculate_agreement
      - determine_confidence
      - synthesize_consensus
      - identify_dissent
      - compare_reasoning
      - check_escalation
      - inject_metadata
      - generate_report

  escalation_workflow:
    description: "Handle escalation"
    triggers:
      - confidence_below_threshold
      - dissent_detected
    steps:
      - log_escalation
      - expand_panel_or_human_review
      - notify_stakeholders
      - await_resolution

# Performance targets (from REF-017)
research_targets:
  accuracy_improvement: "17.9 percentage points on arithmetic"
  consensus_correlation: "Agreement level correlates with correctness"
  optimal_panel_size: "5 reviewers balances cost and accuracy"

# Storage
storage:
  config_path: ".aiwg/config/ensemble-review.yml"
  results_path: ".aiwg/.reviews/"
  report_path: ".aiwg/reports/reviews/"

# References
references:
  research:
    - "@.aiwg/research/findings/REF-017-self-consistency.md"
  implementation:
    - "#159"  # Ensemble review patterns
    - "#160"  # Confidence scoring
  related:
    - "@tools/ralph-external/"
    - "@.aiwg/research/synthesis/topic-05-verification.md"