smart-tree 8.0.0

use anyhow::Result;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;

/// Trust verification for AI models and routes
pub struct TrustVerifier {
    /// Known good model signatures
    known_models: HashMap<String, ModelSignature>,
    
    /// Route fingerprints
    route_analyzer: RouteAnalyzer,
    
    /// Behavioral baseline for each model
    model_baselines: HashMap<String, ModelBaseline>,
    
    /// Verification cache
    cache: VerificationCache,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct ModelSignature {
    /// Model identifier
    pub model_id: String,
    
    /// Version/build info
    pub version: String,
    
    /// Expected provider
    pub provider: String,
    
    /// Behavioral fingerprint
    pub behavioral_fingerprint: BehavioralFingerprint,
    
    /// Known good hashes
    pub signature_hashes: Vec<String>,
    
    /// Timing profile
    pub timing_profile: TimingProfile,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct BehavioralFingerprint {
    /// Response style markers
    pub style_markers: HashMap<String, f32>,
    
    /// Linguistic patterns
    pub linguistic_patterns: Vec<String>,
    
    /// Reasoning depth
    pub reasoning_depth: f32,
    
    /// Safety adherence
    pub safety_score: f32,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct TimingProfile {
    /// Expected latency range
    pub latency_range_ms: (u32, u32),
    
    /// Token generation rate
    pub tokens_per_second: (f32, f32),
    
    /// Pause patterns
    pub pause_pattern: String,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct ModelBaseline {
    /// Model ID
    pub model_id: String,
    
    /// Baseline behavioral vectors
    pub baseline_vectors: ModelVectors,
    
    /// Acceptable variance
    pub variance_threshold: f32,
    
    /// Last updated
    pub last_updated: DateTime<Utc>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct ModelVectors {
    /// Helpfulness level
    pub helpfulness: f32,
    
    /// Technical accuracy
    pub accuracy: f32,
    
    /// Response length tendency
    pub verbosity: f32,
    
    /// Creativity level
    pub creativity: f32,
    
    /// Safety consciousness
    pub safety_bias: f32,
}

/// Analyzes routing patterns to detect manipulation
pub struct RouteAnalyzer {
    /// Known provider endpoints
    known_endpoints: HashMap<String, EndpointProfile>,
    
    /// Latency fingerprints
    latency_db: HashMap<String, LatencyFingerprint>,
    
    /// Header patterns
    header_patterns: HashMap<String, Vec<String>>,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct EndpointProfile {
    /// Provider name
    pub provider: String,
    
    /// Expected domains
    pub domains: Vec<String>,
    
    /// Expected headers
    pub expected_headers: Vec<String>,
    
    /// SSL fingerprint
    pub ssl_fingerprint: Option<String>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct LatencyFingerprint {
    /// Provider
    pub provider: String,
    
    /// Geographic region
    pub region: String,
    
    /// Expected latency profile
    pub profile: LatencyProfile,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct LatencyProfile {
    /// First byte time
    pub ttfb_ms: (u32, u32), // min, max
    
    /// Streaming chunk delays
    pub chunk_delay_ms: (u32, u32),
    
    /// Completion time ranges
    pub completion_ranges: Vec<CompletionRange>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct CompletionRange {
    /// Token count range
    pub tokens: (u32, u32),
    
    /// Expected time range
    pub time_ms: (u32, u32),
}

/// Caches recent verifications
struct VerificationCache {
    entries: HashMap<String, CachedVerification>,
    max_age: chrono::Duration,
}

#[derive(Debug, Clone)]
struct CachedVerification {
    result: TrustResult,
    timestamp: DateTime<Utc>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct TrustResult {
    /// Overall trust score
    pub trust_score: f32,
    
    /// Verification details
    pub verification: VerificationDetails,
    
    /// Detected issues
    pub issues: Vec<TrustIssue>,
    
    /// Recommendations
    pub recommendations: Vec<String>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct VerificationDetails {
    /// Model verification
    pub model_verified: bool,
    
    /// Route verification
    pub route_verified: bool,
    
    /// Behavioral match
    pub behavioral_match: f32,
    
    /// Timing match
    pub timing_match: f32,
    
    /// Signature chain status
    pub chain_status: ChainStatus,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub enum ChainStatus {
    Valid,
    Broken { at_block: u64 },
    Missing,
    Tampered,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct TrustIssue {
    /// Issue type
    pub issue_type: IssueType,
    
    /// Severity
    pub severity: Severity,
    
    /// Description
    pub description: String,
    
    /// Evidence
    pub evidence: HashMap<String, String>,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub enum IssueType {
    UnknownModel,
    VersionMismatch,
    RouteManipulation,
    BehavioralAnomaly,
    TimingAnomaly,
    ChainBreak,
    ProviderMismatch,
}

#[derive(Debug, Serialize, Deserialize, Clone)]
pub enum Severity {
    Low,
    Medium,
    High,
    Critical,
}

impl TrustVerifier {
    pub fn new() -> Self {
        let mut known_models = HashMap::new();
        
        // Add known Claude models
        known_models.insert("claude-3.5-opus".to_string(), ModelSignature {
            model_id: "claude-3.5-opus".to_string(),
            version: "2025-07-10".to_string(),
            provider: "Anthropic".to_string(),
            behavioral_fingerprint: BehavioralFingerprint {
                style_markers: HashMap::from([
                    ("helpful".to_string(), 0.9),
                    ("harmless".to_string(), 0.95),
                    ("honest".to_string(), 0.9),
                    ("nuanced".to_string(), 0.8),
                ]),
                linguistic_patterns: vec![
                    "I understand".to_string(),
                    "Let me".to_string(),
                    "Here's".to_string(),
                ],
                reasoning_depth: 0.85,
                safety_score: 0.95,
            },
            signature_hashes: vec![],
            timing_profile: TimingProfile {
                latency_range_ms: (100, 500),
                tokens_per_second: (50.0, 150.0),
                pause_pattern: "natural".to_string(),
            },
        });
        
        // Add GPT-4 models
        known_models.insert("gpt-4o".to_string(), ModelSignature {
            model_id: "gpt-4o".to_string(),
            version: "2024-05-13".to_string(),
            provider: "OpenAI".to_string(),
            behavioral_fingerprint: BehavioralFingerprint {
                style_markers: HashMap::from([
                    ("helpful".to_string(), 0.85),
                    ("creative".to_string(), 0.8),
                    ("technical".to_string(), 0.9),
                ]),
                linguistic_patterns: vec![
                    "Certainly".to_string(),
                    "I'll".to_string(),
                    "Here's how".to_string(),
                ],
                reasoning_depth: 0.8,
                safety_score: 0.85,
            },
            signature_hashes: vec![],
            timing_profile: TimingProfile {
                latency_range_ms: (150, 600),
                tokens_per_second: (40.0, 120.0),
                pause_pattern: "streaming".to_string(),
            },
        });
        
        Self {
            known_models,
            route_analyzer: RouteAnalyzer::new(),
            model_baselines: HashMap::new(),
            cache: VerificationCache {
                entries: HashMap::new(),
                max_age: chrono::Duration::minutes(5),
            },
        }
    }
    
    /// Verify an AI response
    pub async fn verify_response(&mut self, response: &AIResponse) -> Result<TrustResult> {
        // Check cache first
        let cache_key = format!("{}-{}", response.model_id, response.request_id);
        if let Some(cached) = self.cache.get(&cache_key) {
            return Ok(cached);
        }
        
        let mut issues = Vec::new();
        let mut trust_score = 1.0;
        
        // Verify model
        let model_verified = if let Some(known_model) = self.known_models.get(&response.model_id) {
            self.verify_model_signature(response, known_model, &mut issues)
        } else {
            issues.push(TrustIssue {
                issue_type: IssueType::UnknownModel,
                severity: Severity::High,
                description: format!("Unknown model: {}", response.model_id),
                evidence: HashMap::new(),
            });
            trust_score *= 0.5;
            false
        };
        
        // Verify route
        let route_verified = self.route_analyzer.verify_route(&response.route_info, &mut issues).await;
        if !route_verified {
            trust_score *= 0.7;
        }
        
        // Verify behavior
        let behavioral_match = self.verify_behavior(response, &mut issues).await;
        trust_score *= behavioral_match;
        
        // Verify timing
        let timing_match = self.verify_timing(response, &mut issues);
        trust_score *= timing_match;
        
        // Check signature chain
        let chain_status = self.verify_chain(response);
        if !matches!(chain_status, ChainStatus::Valid) {
            trust_score *= 0.6;
        }
        
        let recommendations = self.generate_recommendations(&issues);
        
        let result = TrustResult {
            trust_score,
            verification: VerificationDetails {
                model_verified,
                route_verified,
                behavioral_match,
                timing_match,
                chain_status,
            },
            issues,
            recommendations,
        };
        
        // Cache result
        self.cache.put(cache_key, result.clone());
        
        Ok(result)
    }
    
    /// Verify model signature
    fn verify_model_signature(
        &self,
        response: &AIResponse,
        known_model: &ModelSignature,
        issues: &mut Vec<TrustIssue>,
    ) -> bool {
        // Check version
        if response.model_version != known_model.version {
            issues.push(TrustIssue {
                issue_type: IssueType::VersionMismatch,
                severity: Severity::Medium,
                description: format!(
                    "Model version mismatch: expected {}, got {}",
                    known_model.version, response.model_version
                ),
                evidence: HashMap::from([
                    ("expected".to_string(), known_model.version.clone()),
                    ("actual".to_string(), response.model_version.clone()),
                ]),
            });
            return false;
        }
        
        // Check provider
        if response.provider != known_model.provider {
            issues.push(TrustIssue {
                issue_type: IssueType::ProviderMismatch,
                severity: Severity::High,
                description: format!(
                    "Provider mismatch: expected {}, got {}",
                    known_model.provider, response.provider
                ),
                evidence: HashMap::new(),
            });
            return false;
        }
        
        true
    }
    
    /// Verify behavioral patterns
    async fn verify_behavior(&self, response: &AIResponse, issues: &mut Vec<TrustIssue>) -> f32 {
        if let Some(baseline) = self.model_baselines.get(&response.model_id) {
            let vectors = self.extract_vectors(response);
            let distance = self.calculate_vector_distance(&baseline.baseline_vectors, &vectors);
            
            if distance > baseline.variance_threshold {
                issues.push(TrustIssue {
                    issue_type: IssueType::BehavioralAnomaly,
                    severity: Severity::Medium,
                    description: format!(
                        "Behavioral divergence: {:.2} (threshold: {:.2})",
                        distance, baseline.variance_threshold
                    ),
                    evidence: HashMap::new(),
                });
                return 1.0 - distance;
            }
            
            1.0 - distance
        } else {
            // No baseline, can't verify
            0.8
        }
    }
    
    /// Verify timing patterns
    fn verify_timing(&self, response: &AIResponse, issues: &mut Vec<TrustIssue>) -> f32 {
        if let Some(known_model) = self.known_models.get(&response.model_id) {
            let profile = &known_model.timing_profile;
            
            // Check latency
            if response.latency_ms < profile.latency_range_ms.0 ||
               response.latency_ms > profile.latency_range_ms.1 {
                issues.push(TrustIssue {
                    issue_type: IssueType::TimingAnomaly,
                    severity: Severity::Low,
                    description: format!(
                        "Latency outside expected range: {}ms",
                        response.latency_ms
                    ),
                    evidence: HashMap::from([
                        ("expected_min".to_string(), profile.latency_range_ms.0.to_string()),
                        ("expected_max".to_string(), profile.latency_range_ms.1.to_string()),
                        ("actual".to_string(), response.latency_ms.to_string()),
                    ]),
                });
                return 0.8;
            }
            
            1.0
        } else {
            0.9
        }
    }
    
    /// Verify signature chain
    fn verify_chain(&self, response: &AIResponse) -> ChainStatus {
        if response.signature_chain.is_empty() {
            return ChainStatus::Missing;
        }
        
        // Verify each block links to previous
        for i in 1..response.signature_chain.len() {
            let prev_block = &response.signature_chain[i-1];
            let curr_block = &response.signature_chain[i];
            
            if curr_block.previous_hash != prev_block.hash {
                return ChainStatus::Broken { at_block: i as u64 };
            }
            
            // Verify hash integrity
            if !self.verify_block_hash(curr_block) {
                return ChainStatus::Tampered;
            }
        }
        
        ChainStatus::Valid
    }
    
    /// Verify individual block hash
    fn verify_block_hash(&self, block: &SignatureBlock) -> bool {
        use sha2::{Sha256, Digest};
        let mut hasher = Sha256::new();
        
        hasher.update(block.previous_hash.as_bytes());
        hasher.update(block.content.as_bytes());
        hasher.update(block.timestamp.to_rfc3339().as_bytes());
        
        let calculated_hash = format!("{:x}", hasher.finalize());
        calculated_hash == block.hash
    }
    
    /// Extract behavioral vectors from response
    fn extract_vectors(&self, response: &AIResponse) -> ModelVectors {
        // Analyze response content
        let content_len = response.content.len() as f32;
        let verbosity = (content_len / 1000.0).min(1.0);
        
        // Simple heuristics for now
        ModelVectors {
            helpfulness: 0.8, // Default
            accuracy: 0.85,   // Default
            verbosity,
            creativity: 0.7,  // Default
            safety_bias: 0.9, // Default
        }
    }
    
    /// Calculate vector distance
    fn calculate_vector_distance(&self, v1: &ModelVectors, v2: &ModelVectors) -> f32 {
        let diffs = [
            (v1.helpfulness - v2.helpfulness).abs(),
            (v1.accuracy - v2.accuracy).abs(),
            (v1.verbosity - v2.verbosity).abs(),
            (v1.creativity - v2.creativity).abs(),
            (v1.safety_bias - v2.safety_bias).abs(),
        ];
        
        diffs.iter().sum::<f32>() / diffs.len() as f32
    }
    
    /// Generate recommendations based on issues
    fn generate_recommendations(&self, issues: &[TrustIssue]) -> Vec<String> {
        let mut recommendations = Vec::new();
        
        for issue in issues {
            match issue.issue_type {
                IssueType::UnknownModel => {
                    recommendations.push("Request direct connection to known model".to_string());
                },
                IssueType::RouteManipulation => {
                    recommendations.push("Switch to direct API access".to_string());
                },
                IssueType::BehavioralAnomaly => {
                    recommendations.push("Verify model identity with challenge questions".to_string());
                },
                _ => {}
            }
        }
        
        recommendations
    }
}

impl RouteAnalyzer {
    fn new() -> Self {
        let mut known_endpoints = HashMap::new();
        
        // Anthropic endpoints
        known_endpoints.insert("anthropic".to_string(), EndpointProfile {
            provider: "Anthropic".to_string(),
            domains: vec!["api.anthropic.com".to_string()],
            expected_headers: vec![
                "anthropic-version".to_string(),
                "x-api-key".to_string(),
            ],
            ssl_fingerprint: None,
        });
        
        // OpenAI endpoints
        known_endpoints.insert("openai".to_string(), EndpointProfile {
            provider: "OpenAI".to_string(),
            domains: vec!["api.openai.com".to_string()],
            expected_headers: vec![
                "openai-version".to_string(),
                "authorization".to_string(),
            ],
            ssl_fingerprint: None,
        });
        
        Self {
            known_endpoints,
            latency_db: HashMap::new(),
            header_patterns: HashMap::new(),
        }
    }
    
    async fn verify_route(&self, route_info: &RouteInfo, issues: &mut Vec<TrustIssue>) -> bool {
        // Check for known proxy services
        for provider in &route_info.provider_chain {
            if provider.contains("openrouter") || provider.contains("proxy") {
                issues.push(TrustIssue {
                    issue_type: IssueType::RouteManipulation,
                    severity: Severity::Medium,
                    description: format!("Proxy service detected: {}", provider),
                    evidence: HashMap::from([
                        ("provider".to_string(), provider.clone()),
                    ]),
                });
                return false;
            }
        }
        
        true
    }
}

impl VerificationCache {
    fn get(&self, key: &str) -> Option<TrustResult> {
        if let Some(cached) = self.entries.get(key) {
            if Utc::now() - cached.timestamp < self.max_age {
                return Some(cached.result.clone());
            }
        }
        None
    }
    
    fn put(&mut self, key: String, result: TrustResult) {
        self.entries.insert(key, CachedVerification {
            result,
            timestamp: Utc::now(),
        });
        
        // Clean old entries
        self.entries.retain(|_, v| Utc::now() - v.timestamp < self.max_age);
    }
}

/// AI response structure for verification
#[derive(Debug, Serialize, Deserialize)]
pub struct AIResponse {
    pub model_id: String,
    pub model_version: String,
    pub provider: String,
    pub request_id: String,
    pub content: String,
    pub route_info: RouteInfo,
    pub latency_ms: u32,
    pub signature_chain: Vec<SignatureBlock>,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct RouteInfo {
    pub provider_chain: Vec<String>,
    pub headers: HashMap<String, String>,
    pub ssl_info: Option<SSLInfo>,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct SSLInfo {
    pub certificate_chain: Vec<String>,
    pub cipher_suite: String,
}

#[derive(Debug, Serialize, Deserialize)]
pub struct SignatureBlock {
    pub hash: String,
    pub previous_hash: String,
    pub content: String,
    pub timestamp: DateTime<Utc>,
}