Module analyzer 

Analyzer Engine

This module provides real-time analysis capabilities for LLM optimization metrics. It includes 5 specialized analyzers:

• Performance Analyzer: Latency, throughput, token usage, performance degradation
• Cost Analyzer: Token costs, budget utilization, cost optimization opportunities
• Quality Analyzer: Response quality, error rates, SLA compliance
• Pattern Analyzer: Temporal patterns, traffic bursts, seasonality, trends
• Anomaly Analyzer: Statistical anomaly detection using Z-score and IQR methods

Example

use processor::analyzer::{PerformanceAnalyzer, Analyzer, AnalyzerEvent};
use chrono::Utc;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    // Create and start an analyzer
    let mut analyzer = PerformanceAnalyzer::with_defaults();
    analyzer.start().await?;

    // Process an event
    let event = AnalyzerEvent::Response {
        timestamp: Utc::now(),
        request_id: "req-123".to_string(),
        model: "gpt-4".to_string(),
        completion_tokens: 100,
        total_tokens: 200,
        latency_ms: 500,
        success: true,
        error: None,
        metadata: HashMap::new(),
    };

    analyzer.process_event(event).await?;

    // Generate a report
    let report = analyzer.generate_report().await?;
    println!("Insights: {}", report.insights.len());
    println!("Recommendations: {}", report.recommendations.len());

    Ok(())
}

Re-exports

pub use traits::Analyzer;

pub use traits::AnalyzerConfig;

pub use traits::AnalyzerConfigBuilder;

pub use traits::AnalyzerError;

pub use traits::AnalyzerResult;

pub use traits::AnalyzerState;

pub use types::Action;

pub use types::ActionType;

pub use types::Alert;

pub use types::AlertStatus;

pub use types::AnalysisReport;

pub use types::AnalyzerEvent;

pub use types::AnalyzerStats;

pub use types::Confidence;

pub use types::Evidence;

pub use types::EvidenceType;

pub use types::FeedbackType;

pub use types::Impact;

pub use types::ImpactMetric;

pub use types::Insight;

pub use types::InsightCategory;

pub use types::Priority;

pub use types::Recommendation;

pub use types::ReportSummary;

pub use types::RiskLevel;

pub use types::Severity;

pub use types::Threshold;

pub use types::ThresholdOperator;

pub use performance_analyzer::PerformanceAnalyzer;

pub use performance_analyzer::PerformanceAnalyzerConfig;

pub use cost_analyzer::CostAnalyzer;

pub use cost_analyzer::CostAnalyzerConfig;

pub use cost_analyzer::ModelPricing;

pub use quality_analyzer::QualityAnalyzer;

pub use quality_analyzer::QualityAnalyzerConfig;

pub use pattern_analyzer::PatternAnalyzer;

pub use pattern_analyzer::PatternAnalyzerConfig;

pub use pattern_analyzer::PatternType;

pub use anomaly_analyzer::AnomalyAnalyzer;

pub use anomaly_analyzer::AnomalyAnalyzerConfig;

pub use anomaly_analyzer::AnomalyType;

pub use stats::calculate_linear_trend;

pub use stats::calculate_percentiles;

pub use stats::is_outlier_iqr;

pub use stats::is_outlier_zscore;

pub use stats::mean;

pub use stats::percentage_change;

pub use stats::std_dev;

pub use stats::z_score;

pub use stats::CircularBuffer;

pub use stats::ExponentialMovingAverage;

pub use stats::LinearTrend;

pub use stats::SimpleMovingAverage;

Modules

anomaly_analyzer

Anomaly Analyzer

cost_analyzer

Cost Analyzer

pattern_analyzer

Pattern Analyzer

performance_analyzer

Performance Analyzer

quality_analyzer

Quality Analyzer

stats

Statistical utilities for analyzers

traits

Core traits for the analyzer framework

types

Type definitions for the analyzer framework