Guardrails - OrbitAI

Overview

Guardrails in OrbitAI provide a safety and validation framework that ensures agents operate within defined boundaries. They act as automated checkpoints that validate inputs, filter outputs, enforce resource limits, and maintain compliance with content policies and regulations.

Input Validation

Validate and sanitize inputs before processing

Output Filtering

Filter harmful, sensitive, or inappropriate content

Content Safety

Block harmful, offensive, or inappropriate content

Compliance

Enforce regulatory requirements and policies

Resource Control

Limit token usage, rate limits, and resource consumption

Customizable

Create custom guardrails for specific requirements

Key Capabilities

Automatic Enforcement

Guardrails are automatically enforced during task execution. All agent outputs pass through guardrail validation before task completion, ensuring consistent safety without manual intervention.

Multi-Layer Protection

Combine multiple guardrails for comprehensive protection. Stack content filtering, PII detection, token limits, and rate limiting to create defense-in-depth security.

Flexible Validation

Configure validation strictness from lenient (for development) to strict (for production). Partial approvals allow iterative refinement of agent outputs.

Custom Rules

Implement domain-specific validation logic with custom guardrails. Extend the OrbitGuardrail protocol to enforce business rules, compliance requirements, or quality standards.

Guardrails Architecture

Guardrails Execution Pipeline
    ├── 1. Task Initialization
    │   ├── Input Validation
    │   ├── Parameter Sanitization
    │   └── Pre-Execution Checks
    │
    ├── 2. Agent Execution
    │   ├── Resource Monitoring
    │   ├── Rate Limit Tracking
    │   └── Progress Validation
    │
    ├── 3. Output Generation
    │   ├── Content Generation
    │   └── Initial Output
    │
    ├── 4. Guardrail Validation ← All outputs validated
    │   ├── Content Safety Checks
    │   ├── PII Detection
    │   ├── Token Limit Enforcement
    │   ├── Custom Validations
    │   └── Compliance Checks
    │
    ├── 5. Validation Result
    │   ├── Approved → Task Complete
    │   ├── Partially Approved → Refinement
    │   ├── Needs Revision → Retry
    │   └── Failed → Error
    │
    └── 6. Task Completion
        └── Return Validated Output

Built-in Guardrails

OrbitAI provides several built-in guardrails for common safety and compliance requirements:

Content Safety Guardrails

No Harmful Content
Content Filter
No PII

Guardrail: NoHarmfulContentGuardrailPrevents generation of harmful, offensive, or dangerous content.Configuration:

guardrails: [.noHarmfulContent]

What it blocks:

Violence and graphic content
Hate speech and discrimination
Self-harm and dangerous activities
Illegal activities
Adult/NSFW content
Harassment and bullying

Example:

let contentTask = ORTask(
    description: "Generate blog post about healthy living",
    expectedOutput: "Informative health blog post",
    guardrails: [.noHarmfulContent]
)
// Blocks: Dangerous health advice, extreme diets, etc.

Use cases:

User-facing content generation
Educational content
Public communications
Customer interactions

Guardrail: ContentFilterGuardrailGeneral-purpose content filtering with customizable rules.Configuration:

guardrails: [.contentFilter]

// Or with custom configuration
let filter = ContentFilterGuardrail(
    blockedKeywords: ["spam", "scam", "clickbait"],
    sensitivityLevel: .medium
)

guardrails: [filter]

Features:

Keyword blocking
Pattern matching
Sentiment analysis
Language detection
Profanity filtering

Example:

let marketingAgent = Agent(
    role: "Marketing Content Writer",
    purpose: "Create marketing materials",
    context: "Professional marketing expert",
    guardrails: [.contentFilter]
)
// Ensures professional, appropriate marketing content

Guardrail: NoPIIGuardrailPrevents leakage of Personally Identifiable Information.Configuration:

guardrails: [.noPII]

// Or with custom configuration
let piiGuardrail = NoPIIGuardrail(
    detectTypes: [
        .email,
        .phone,
        .ssn,
        .creditCard,
        .address,
        .name
    ],
    action: .redact  // or .block, .warn
)

guardrails: [piiGuardrail]

Detects:

Email addresses
Phone numbers
Social Security Numbers
Credit card numbers
Physical addresses
Names (when configured)
Dates of birth
Driver’s license numbers

Example:

let customerServiceAgent = Agent(
    role: "Customer Service Agent",
    purpose: "Handle customer inquiries",
    context: "Privacy-conscious support agent",
    guardrails: [.noPII]
)

// Input: "My email is [email protected] and SSN is 123-45-6789"
// Output: "My email is [EMAIL] and SSN is [SSN]"

Actions:

Redact: Replace with placeholders [EMAIL], [SSN]
Block: Fail validation, prevent output
Warn: Log warning but allow output

Resource Control Guardrails

Token Limit
Rate Limit
Resource Limit

Guardrail: TokenLimitGuardrailEnforces maximum token limits for generated content.Configuration:

let tokenGuardrail = TokenLimitGuardrail(
    maxTokens: 8000,
    model: "gpt-4o"
)

let task = ORTask(
    description: "Generate comprehensive report",
    expectedOutput: "Detailed analysis report",
    guardrails: [tokenGuardrail]
)

Parameters:

maxTokens: Maximum token count allowed
model: Model name for accurate token counting
action: What to do when exceeded (truncate, fail, warn)

Use cases:

Prevent excessive LLM costs
Ensure outputs fit within constraints
Control response sizes
Manage context window usage

Example with truncation:

let limitedGuardrail = TokenLimitGuardrail(
    maxTokens: 2000,
    model: "gpt-4o",
    action: .truncate,  // Auto-truncate to limit
    preservePriority: .beginning  // or .ending
)

Guardrail: RateLimitGuardrailPrevents excessive API requests and resource usage.Configuration:

let rateLimitGuardrail = RateLimitGuardrail(
    maxRequestsPerMinute: 60,
    maxRequestsPerHour: 1000,
    maxRequestsPerDay: 10000
)

let agent = Agent(
    role: "API Worker",
    purpose: "Process API requests",
    context: "Rate-limited worker",
    guardrails: [rateLimitGuardrail]
)

Parameters:

maxRequestsPerMinute: Requests per minute limit
maxRequestsPerHour: Requests per hour limit
maxRequestsPerDay: Requests per day limit
burstAllowance: Allow temporary bursts

Features:

Sliding window rate limiting
Per-agent or per-orbit limits
Burst allowance for spikes
Automatic backoff

Example with backoff:

let smartRateLimit = RateLimitGuardrail(
    maxRequestsPerMinute: 60,
    enableBackoff: true,
    backoffStrategy: .exponential,
    maxBackoffSeconds: 300
)

Guardrail: ResourceLimitGuardrailControls memory and computational resource usage.Configuration:

let resourceGuardrail = ResourceLimitGuardrail(
    maxMemoryMB: 500,
    maxCPUPercent: 80,
    maxExecutionTimeSeconds: 300
)

let task = ORTask(
    description: "Process large dataset",
    expectedOutput: "Analysis results",
    guardrails: [resourceGuardrail]
)

Limits:

Memory: Maximum RAM usage
CPU: Maximum CPU utilization
Time: Maximum execution duration
Disk: Temporary file limits

Use cases:

Prevent resource exhaustion
Ensure fair resource sharing
Protect system stability
Detect runaway processes

Input Validation

Guardrails validate inputs before processing to prevent injection attacks, malformed data, and security issues.

Input Validation Guardrails

Parameter Validation

Validate task and agent parameters:

final class ParameterValidationGuardrail: OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult {
        // Validate required parameters
        guard let input = context.inputs["query"],
              !input.isEmpty else {
            return .needsRevision(
                feedback: "Query parameter is required and cannot be empty"
            )
        }

        // Validate parameter format
        if input.count < 2 {
            return .needsRevision(
                feedback: "Query must be at least 2 characters"
            )
        }

        if input.count > 500 {
            return .needsRevision(
                feedback: "Query cannot exceed 500 characters"
            )
        }

        return .approved
    }
}

// Usage
let task = ORTask(
    description: "Process user query",
    expectedOutput: "Query results",
    guardrails: [ParameterValidationGuardrail()]
)

Input Sanitization

Sanitize user inputs to prevent injection:

final class InputSanitizationGuardrail: OrbitGuardrail {
    private let dangerousPatterns: [String] = [
        "<script",
        "javascript:",
        "onerror=",
        "onclick=",
        "<?php",
        "${",  // Template injection
        "{{",  // Template injection
    ]

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let input = context.inputs["user_input"] else {
            return .approved
        }

        // Check for injection patterns
        let lowercased = input.lowercased()
        for pattern in dangerousPatterns {
            if lowercased.contains(pattern) {
                return .needsRevision(
                    feedback: "Input contains potentially dangerous pattern: \(pattern)"
                )
            }
        }

        // Check for SQL injection
        let sqlPatterns = ["';", "--", "/*", "*/", "xp_", "sp_", "exec ", "execute "]
        for pattern in sqlPatterns {
            if lowercased.contains(pattern) {
                return .needsRevision(
                    feedback: "Input contains SQL injection pattern"
                )
            }
        }

        return .approved
    }
}

Schema Validation

Validate structured inputs:

final class SchemaValidationGuardrail: OrbitGuardrail {
    let requiredFields: [String]
    let schema: JSONSchema

    init(schema: JSONSchema, requiredFields: [String]) {
        self.schema = schema
        self.requiredFields = requiredFields
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let data = context.inputs["data"] else {
            return .needsRevision(feedback: "Missing data field")
        }

        // Parse JSON
        guard let jsonData = data.data(using: .utf8),
              let json = try? JSONSerialization.jsonObject(with: jsonData) as? [String: Any] else {
            return .needsRevision(feedback: "Invalid JSON format")
        }

        // Validate required fields
        for field in requiredFields {
            if json[field] == nil {
                return .needsRevision(
                    feedback: "Missing required field: \(field)"
                )
            }
        }

        // Validate against schema
        let validationErrors = validateAgainstSchema(json, schema: schema)
        if !validationErrors.isEmpty {
            return .needsRevision(
                feedback: "Schema validation failed: \(validationErrors.joined(separator: ", "))"
            )
        }

        return .approved
    }

    private func validateAgainstSchema(
        _ data: [String: Any],
        schema: JSONSchema
    ) -> [String] {
        // Schema validation logic
        var errors: [String] = []
        // ... implementation
        return errors
    }
}

File Upload Validation

Validate file uploads:

final class FileUploadGuardrail: OrbitGuardrail {
    let allowedExtensions: Set<String>
    let maxSizeMB: Int
    let scanForMalware: Bool

    init(
        allowedExtensions: Set<String>,
        maxSizeMB: Int = 10,
        scanForMalware: Bool = true
    ) {
        self.allowedExtensions = allowedExtensions
        self.maxSizeMB = maxSizeMB
        self.scanForMalware = scanForMalware
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let filePath = context.inputs["file_path"] else {
            return .approved
        }

        // Check file exists
        guard FileManager.default.fileExists(atPath: filePath) else {
            return .needsRevision(feedback: "File not found")
        }

        // Check extension
        let ext = (filePath as NSString).pathExtension.lowercased()
        guard allowedExtensions.contains(ext) else {
            return .needsRevision(
                feedback: "File type .\(ext) not allowed. Allowed: \(allowedExtensions)"
            )
        }

        // Check size
        let attrs = try FileManager.default.attributesOfItem(atPath: filePath)
        let sizeMB = (attrs[.size] as? Int64 ?? 0) / 1024 / 1024

        if sizeMB > maxSizeMB {
            return .needsRevision(
                feedback: "File size \(sizeMB)MB exceeds limit of \(maxSizeMB)MB"
            )
        }

        // Scan for malware (if enabled)
        if scanForMalware {
            let isSafe = try await scanFile(filePath)
            if !isSafe {
                return .needsRevision(
                    feedback: "File failed security scan"
                )
            }
        }

        return .approved
    }

    private func scanFile(_ path: String) async throws -> Bool {
        // Malware scanning logic
        return true
    }
}

Input Validation Best Practices

Validate Early

Validate inputs before they reach agents:

// Apply at task level
let task = ORTask(
    description: "Process input",
    guardrails: [
        InputSanitizationGuardrail(),
        ParameterValidationGuardrail()
    ]
)

Whitelist Over Blacklist

Define allowed inputs rather than blocked ones:

// Good: Whitelist allowed characters
let allowedChars = CharacterSet.alphanumerics
    .union(.whitespaces)
    .union(CharacterSet(charactersIn: ".,!?"))

// Bad: Blacklist dangerous characters
let blockedChars = CharacterSet(
    charactersIn: "<>\"';"
)

Provide Clear Feedback

Help users understand validation failures:

return .needsRevision(
    feedback: """
    Email format invalid.
    Expected: [email protected]
    Received: \(input)
    """
)

Layer Validation

Use multiple validation layers:

guardrails: [
    ParameterValidationGuardrail(),  // 1. Structure
    InputSanitizationGuardrail(),    // 2. Security
    SchemaValidationGuardrail(),     // 3. Format
    BusinessRuleGuardrail()          // 4. Logic
]

Output Validation

Output guardrails filter and validate agent-generated content before returning results.

Output Validation Strictness

Configure how strictly outputs are validated:

public enum ValidationStrictness: String, Codable {
    case lenient   // Partial approvals accepted
    case standard  // Balanced validation (default)
    case strict    // Even partial approvals require revision
}

Lenient
Standard
Strict

Use case: Development, testing, experimentation

let task = ORTask(
    description: "Generate draft content",
    expectedOutput: "Draft document",
    validationStrictness: .lenient,
    guardrails: [.noHarmfulContent]
)

Behavior:

Partial approvals are accepted
Warnings don’t block output
Faster iteration
More permissive filtering

When to use:

Prototyping
Internal tools
Development environments
Creative exploration

Use case: Production, general applications

let task = ORTask(
    description: "Generate content",
    expectedOutput: "Final document",
    validationStrictness: .standard,  // Default
    guardrails: [.noHarmfulContent, .noPII]
)

Behavior:

Balanced approach
Partial approvals allowed with feedback
Standard filtering
Reasonable performance

When to use:

Most production applications
Customer-facing features
Standard compliance needs

Use case: High-security, regulated industries

let task = ORTask(
    description: "Generate regulated content",
    expectedOutput: "Compliant document",
    validationStrictness: .strict,
    guardrails: [
        .noHarmfulContent,
        .noPII,
        .contentFilter,
        ComplianceGuardrail()
    ]
)

Behavior:

Even partial approvals require revision
Strict filtering
Zero-tolerance for violations
Slowest but safest

When to use:

Healthcare (HIPAA)
Finance (PCI-DSS)
Legal applications
Children’s content

Validation Results

public enum TaskValidationResult {
    case approved
    case partiallyApproved(feedback: String)
    case needsRevision(feedback: String)
    case validationFailed
}

Approved

Output passes all guardrails.

func check(context: GuardrailContext) async throws -> GuardrailResult {
    // All checks passed
    return .approved
}

What happens:

Task completes successfully
Output returned to user
No retries needed

Partially Approved

Output is acceptable but has minor issues.

func check(context: GuardrailContext) async throws -> GuardrailResult {
    if hasMinorIssues {
        return .partiallyApproved(
            feedback: "Output is acceptable but could be improved: \(issues)"
        )
    }
    return .approved
}

What happens:

Lenient/Standard: Output accepted with feedback
Strict: Retry required
Feedback provided for improvement

Needs Revision

Output has issues that must be fixed.

func check(context: GuardrailContext) async throws -> GuardrailResult {
    if hasViolations {
        return .needsRevision(
            feedback: "Output contains prohibited content: \(violations)"
        )
    }
    return .approved
}

What happens:

Task retries if retries available
Feedback sent to agent for revision
Previous output discarded

Validation Failed

Output cannot be validated (technical error).

func check(context: GuardrailContext) async throws -> GuardrailResult {
    guard let output = context.output else {
        return .validationFailed
    }

    do {
        try await performValidation(output)
        return .approved
    } catch {
        return .validationFailed
    }
}

What happens:

Task fails immediately
Error logged
No retries (technical failure)

Safety and Compliance

Content Safety

Implement comprehensive content safety with multiple layers:

import OrbitAI

// Content safety configuration
let contentSafetyAgent = Agent(
    role: "Content Moderator",
    purpose: "Generate safe, appropriate content",
    context: """
    Expert content creator who:
    - Avoids harmful, offensive, or inappropriate content
    - Respects cultural sensitivities
    - Maintains professional tone
    - Follows community guidelines
    """,
    guardrails: [
        .noHarmfulContent,
        .contentFilter,
        CustomSensitivityGuardrail(level: .high)
    ]
)

// Custom sensitivity guardrail
final class CustomSensitivityGuardrail: OrbitGuardrail {
    enum SensitivityLevel {
        case low, medium, high
    }

    let level: SensitivityLevel

    init(level: SensitivityLevel) {
        self.level = level
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Check sentiment
        let sentiment = analyzeSentiment(output)

        switch level {
        case .high:
            if sentiment.negativity > 0.2 || sentiment.controversy > 0.1 {
                return .needsRevision(
                    feedback: "Content tone is too negative or controversial"
                )
            }

        case .medium:
            if sentiment.negativity > 0.4 || sentiment.controversy > 0.3 {
                return .partiallyApproved(
                    feedback: "Consider adjusting tone for broader audience"
                )
            }

        case .low:
            if sentiment.negativity > 0.6 {
                return .partiallyApproved(
                    feedback: "Content may benefit from more positive framing"
                )
            }
        }

        return .approved
    }

    private func analyzeSentiment(_ text: String) -> (negativity: Double, controversy: Double) {
        // Sentiment analysis implementation
        return (0.0, 0.0)
    }
}

Privacy Compliance

Ensure GDPR, CCPA, and privacy regulation compliance:

final class PrivacyComplianceGuardrail: OrbitGuardrail {
    let regulations: Set<PrivacyRegulation>

    enum PrivacyRegulation {
        case gdpr      // EU General Data Protection Regulation
        case ccpa      // California Consumer Privacy Act
        case hipaa     // Health Insurance Portability and Accountability Act
        case coppa     // Children's Online Privacy Protection Act
    }

    init(regulations: Set<PrivacyRegulation>) {
        self.regulations = regulations
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []

        // GDPR compliance
        if regulations.contains(.gdpr) {
            let gdprIssues = checkGDPRCompliance(output)
            violations.append(contentsOf: gdprIssues)
        }

        // HIPAA compliance
        if regulations.contains(.hipaa) {
            let hipaaIssues = checkHIPAACompliance(output)
            violations.append(contentsOf: hipaaIssues)
        }

        // COPPA compliance
        if regulations.contains(.coppa) {
            let coppaIssues = checkCOPPACompliance(output)
            violations.append(contentsOf: coppaIssues)
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: "Privacy violations detected: \(violations.joined(separator: "; "))"
            )
        }

        return .approved
    }

    private func checkGDPRCompliance(_ output: String) -> [String] {
        var issues: [String] = []

        // Check for PII
        if detectsPII(output) {
            issues.append("Contains PII without consent")
        }

        // Check for data minimization
        if containsExcessiveData(output) {
            issues.append("Violates data minimization principle")
        }

        // Check for right to erasure
        if containsUndeletableReferences(output) {
            issues.append("Contains data that cannot be erased")
        }

        return issues
    }

    private func checkHIPAACompliance(_ output: String) -> [String] {
        var issues: [String] = []

        // Protected Health Information (PHI) detection
        let phiPatterns = [
            "medical record",
            "diagnosis:",
            "prescription:",
            "treatment plan",
            "lab results"
        ]

        for pattern in phiPatterns {
            if output.lowercased().contains(pattern) {
                // Check if properly encrypted/secured
                if !isProperlySecured(output, pattern: pattern) {
                    issues.append("Unsecured PHI: \(pattern)")
                }
            }
        }

        return issues
    }

    private func checkCOPPACompliance(_ output: String) -> [String] {
        var issues: [String] = []

        // Age-inappropriate content
        if containsAgeInappropriateContent(output) {
            issues.append("Contains content inappropriate for children")
        }

        // Personal info collection
        if requestsPersonalInfo(output) {
            issues.append("Requests personal information from minors")
        }

        return issues
    }

    private func detectsPII(_ text: String) -> Bool {
        // PII detection logic
        return false
    }

    private func containsExcessiveData(_ text: String) -> Bool {
        // Data minimization check
        return false
    }

    private func containsUndeletableReferences(_ text: String) -> Bool {
        // Erasure compliance check
        return false
    }

    private func isProperlySecured(_ text: String, pattern: String) -> Bool {
        // Security check for PHI
        return true
    }

    private func containsAgeInappropriateContent(_ text: String) -> Bool {
        // Age appropriateness check
        return false
    }

    private func requestsPersonalInfo(_ text: String) -> Bool {
        // Personal info request detection
        return false
    }
}

// Usage
let healthcareAgent = Agent(
    role: "Medical Information Assistant",
    purpose: "Provide health information",
    context: "HIPAA-compliant medical assistant",
    guardrails: [
        .noPII,
        PrivacyComplianceGuardrail(regulations: [.hipaa, .gdpr])
    ]
)

Industry-Specific Compliance

Financial Services
Healthcare
Education

Regulations: PCI-DSS, SOX, GLBA

final class FinancialComplianceGuardrail: OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []

        // PCI-DSS: No credit card data
        if detectsCreditCardData(output) {
            violations.append("Credit card data detected (PCI-DSS violation)")
        }

        // SOX: Financial data accuracy
        if containsFinancialData(output) && !isAuditable(output) {
            violations.append("Financial data not auditable (SOX compliance)")
        }

        // GLBA: Customer financial information
        if containsCustomerFinancialInfo(output) && !isEncrypted(output) {
            violations.append("Unencrypted customer financial info (GLBA)")
        }

        // Investment advice disclaimer
        if appearsToBeInvestmentAdvice(output) && !hasDisclaimer(output) {
            violations.append("Investment advice missing required disclaimers")
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: violations.joined(separator: "\n")
            )
        }

        return .approved
    }

    private func detectsCreditCardData(_ text: String) -> Bool {
        // Credit card pattern detection
        let ccPattern = #"\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}"#
        return text.range(of: ccPattern, options: .regularExpression) != nil
    }

    private func containsFinancialData(_ text: String) -> Bool {
        let keywords = ["revenue", "profit", "loss", "earnings", "balance sheet"]
        return keywords.contains { text.lowercased().contains($0) }
    }

    private func isAuditable(_ text: String) -> Bool {
        // Check for audit trail metadata
        return true
    }

    private func containsCustomerFinancialInfo(_ text: String) -> Bool {
        let patterns = ["account balance", "transaction history", "credit score"]
        return patterns.contains { text.lowercased().contains($0) }
    }

    private func isEncrypted(_ text: String) -> Bool {
        // Check encryption status
        return true
    }

    private func appearsToBeInvestmentAdvice(_ text: String) -> Bool {
        let advisoryKeywords = ["should invest", "recommend buying", "stock tip"]
        return advisoryKeywords.contains { text.lowercased().contains($0) }
    }

    private func hasDisclaimer(_ text: String) -> Bool {
        let disclaimers = ["not financial advice", "consult a financial advisor"]
        return disclaimers.contains { text.lowercased().contains($0) }
    }
}

Regulations: HIPAA, HITECH, FDA

final class HealthcareComplianceGuardrail: OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []

        // HIPAA: Protected Health Information
        if containsPHI(output) && !isHIPAACompliant(output) {
            violations.append("Contains unsecured PHI (HIPAA violation)")
        }

        // Medical advice disclaimer
        if appearsToBeMedicalAdvice(output) && !hasMedicalDisclaimer(output) {
            violations.append("Medical advice missing required disclaimer")
        }

        // FDA regulations
        if containsDrugInformation(output) && !hasFDACompliance(output) {
            violations.append("Drug information not FDA compliant")
        }

        // Age appropriateness
        if context.metadata["age_range"] == "pediatric" {
            if !isPediatricAppropriate(output) {
                violations.append("Content not appropriate for pediatric patients")
            }
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: violations.joined(separator: "\n")
            )
        }

        return .approved
    }

    private func containsPHI(_ text: String) -> Bool {
        // PHI detection
        return false
    }

    private func isHIPAACompliant(_ text: String) -> Bool {
        // HIPAA compliance check
        return true
    }

    private func appearsToBeMedicalAdvice(_ text: String) -> Bool {
        let advicePatterns = ["you should take", "recommended dosage", "treatment plan"]
        return advicePatterns.contains { text.lowercased().contains($0) }
    }

    private func hasMedicalDisclaimer(_ text: String) -> Bool {
        let disclaimers = [
            "not medical advice",
            "consult your doctor",
            "healthcare provider"
        ]
        return disclaimers.contains { text.lowercased().contains($0) }
    }

    private func containsDrugInformation(_ text: String) -> Bool {
        // Drug information detection
        return false
    }

    private func hasFDACompliance(_ text: String) -> Bool {
        // FDA compliance check
        return true
    }

    private func isPediatricAppropriate(_ text: String) -> Bool {
        // Age appropriateness check
        return true
    }
}

Regulations: FERPA, COPPA, CIPA

final class EducationComplianceGuardrail: OrbitGuardrail {
    let ageGroup: AgeGroup

    enum AgeGroup {
        case under13    // COPPA applies
        case k12        // FERPA applies
        case higher     // FERPA applies
    }

    init(ageGroup: AgeGroup) {
        self.ageGroup = ageGroup
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []

        // FERPA: Student records protection
        if containsStudentRecords(output) {
            violations.append("Contains student records (FERPA violation)")
        }

        // COPPA: Children under 13
        if ageGroup == .under13 {
            if requestsPersonalInfo(output) {
                violations.append("Requests personal info from children (COPPA)")
            }

            if !isChildSafe(output) {
                violations.append("Content not appropriate for children")
            }
        }

        // CIPA: Internet safety
        if containsInappropriateLinks(output) {
            violations.append("Contains inappropriate web links (CIPA)")
        }

        // Educational appropriateness
        if !isEducationallyAppropriate(output, for: ageGroup) {
            violations.append("Content not educationally appropriate")
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: violations.joined(separator: "\n")
            )
        }

        return .approved
    }

    private func containsStudentRecords(_ text: String) -> Bool {
        let recordIndicators = ["grade", "GPA", "student ID", "enrollment"]
        return recordIndicators.contains { text.lowercased().contains($0) }
    }

    private func requestsPersonalInfo(_ text: String) -> Bool {
        let requests = ["what is your name", "where do you live", "phone number"]
        return requests.contains { text.lowercased().contains($0) }
    }

    private func isChildSafe(_ text: String) -> Bool {
        // Child safety content check
        return true
    }

    private func containsInappropriateLinks(_ text: String) -> Bool {
        // URL filtering
        return false
    }

    private func isEducationallyAppropriate(_ text: String, for ageGroup: AgeGroup) -> Bool {
        // Educational content validation
        return true
    }
}

Custom Guardrails

Create custom guardrails for domain-specific requirements:

OrbitGuardrail Protocol

public protocol OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult
}

public struct GuardrailContext {
    public let inputs: [String: String]
    public let output: String?
    public let metadata: [String: String]
    public let agent: Agent?
    public let task: ORTask?
}

public enum GuardrailResult {
    case approved
    case partiallyApproved(feedback: String)
    case needsRevision(feedback: String)
    case validationFailed
}

Custom Guardrail Examples

Business Rules
Quality Standards
Brand Guidelines

Enforce business logic and domain rules:

final class BusinessRulesGuardrail: OrbitGuardrail {
    let rules: [BusinessRule]

    struct BusinessRule {
        let name: String
        let condition: (String) -> Bool
        let errorMessage: String
    }

    init(rules: [BusinessRule]) {
        self.rules = rules
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []

        for rule in rules {
            if !rule.condition(output) {
                violations.append("\(rule.name): \(rule.errorMessage)")
            }
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: "Business rule violations:\n" + violations.joined(separator: "\n")
            )
        }

        return .approved
    }
}

// Usage: E-commerce rules
let ecommerceRules = BusinessRulesGuardrail(rules: [
    BusinessRule(
        name: "Price Validity",
        condition: { output in
            // Check prices are in valid range
            let pricePattern = #"\$(\d+\.?\d*)"#
            if let regex = try? NSRegularExpression(pattern: pricePattern) {
                let matches = regex.matches(
                    in: output,
                    range: NSRange(output.startIndex..., in: output)
                )

                for match in matches {
                    if let range = Range(match.range(at: 1), in: output) {
                        let priceStr = String(output[range])
                        if let price = Double(priceStr), price < 0 || price > 999999 {
                            return false  // Invalid price
                        }
                    }
                }
            }
            return true
        },
        errorMessage: "Prices must be between $0 and $999,999"
    ),

    BusinessRule(
        name: "Discount Limits",
        condition: { output in
            // Check discounts don't exceed 70%
            let discountPattern = #"(\d+)%\s+off"#
            if let regex = try? NSRegularExpression(pattern: discountPattern, options: .caseInsensitive) {
                let matches = regex.matches(
                    in: output,
                    range: NSRange(output.startIndex..., in: output)
                )

                for match in matches {
                    if let range = Range(match.range(at: 1), in: output) {
                        let discountStr = String(output[range])
                        if let discount = Int(discountStr), discount > 70 {
                            return false  // Excessive discount
                        }
                    }
                }
            }
            return true
        },
        errorMessage: "Discounts cannot exceed 70%"
    ),

    BusinessRule(
        name: "Stock Availability",
        condition: { output in
            // Don't promise availability without checking
            let promisePatterns = [
                "in stock",
                "available now",
                "ships immediately"
            ]

            for pattern in promisePatterns {
                if output.lowercased().contains(pattern) {
                    // Check if includes disclaimer
                    if !output.lowercased().contains("while supplies last") &&
                       !output.lowercased().contains("subject to availability") {
                        return false
                    }
                }
            }
            return true
        },
        errorMessage: "Availability claims must include disclaimers"
    )
])

let productAgent = Agent(
    role: "Product Description Writer",
    purpose: "Create product descriptions",
    context: "E-commerce content expert",
    guardrails: [ecommerceRules]
)

Enforce content quality requirements:

final class QualityStandardsGuardrail: OrbitGuardrail {
    let minWords: Int
    let maxWords: Int
    let requireCompleteSentences: Bool
    let requireProperGrammar: Bool
    let minReadabilityScore: Double

    init(
        minWords: Int = 100,
        maxWords: Int = 1000,
        requireCompleteSentences: Bool = true,
        requireProperGrammar: Bool = true,
        minReadabilityScore: Double = 60.0
    ) {
        self.minWords = minWords
        self.maxWords = maxWords
        self.requireCompleteSentences = requireCompleteSentences
        self.requireProperGrammar = requireProperGrammar
        self.minReadabilityScore = minReadabilityScore
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var issues: [String] = []
        var warnings: [String] = []

        // Word count
        let wordCount = output.split(separator: " ").count

        if wordCount < minWords {
            issues.append("Content too short: \(wordCount) words (minimum: \(minWords))")
        }

        if wordCount > maxWords {
            issues.append("Content too long: \(wordCount) words (maximum: \(maxWords))")
        }

        // Complete sentences
        if requireCompleteSentences {
            let sentences = output.split(separator: ".")
            for sentence in sentences {
                let trimmed = sentence.trimmingCharacters(in: .whitespaces)
                if !trimmed.isEmpty {
                    // Check sentence starts with capital
                    if let first = trimmed.first, !first.isUppercase {
                        warnings.append("Sentence doesn't start with capital: \(trimmed.prefix(30))...")
                    }
                }
            }
        }

        // Readability
        let readability = calculateReadabilityScore(output)
        if readability < minReadabilityScore {
            warnings.append("Readability score \(Int(readability)) below minimum \(Int(minReadabilityScore))")
        }

        // Grammar check (simplified)
        if requireProperGrammar {
            let grammarIssues = checkGrammar(output)
            if !grammarIssues.isEmpty {
                warnings.append("Grammar issues found: \(grammarIssues.count)")
            }
        }

        // Return result
        if !issues.isEmpty {
            return .needsRevision(
                feedback: issues.joined(separator: "\n")
            )
        }

        if !warnings.isEmpty {
            return .partiallyApproved(
                feedback: "Quality warnings:\n" + warnings.joined(separator: "\n")
            )
        }

        return .approved
    }

    private func calculateReadabilityScore(_ text: String) -> Double {
        // Flesch Reading Ease calculation (simplified)
        let sentences = text.split(separator: ".").count
        let words = text.split(separator: " ").count
        let syllables = countSyllables(text)

        guard sentences > 0, words > 0 else { return 0 }

        let avgWordsPerSentence = Double(words) / Double(sentences)
        let avgSyllablesPerWord = Double(syllables) / Double(words)

        let score = 206.835 - 1.015 * avgWordsPerSentence - 84.6 * avgSyllablesPerWord
        return max(0, min(100, score))
    }

    private func countSyllables(_ text: String) -> Int {
        // Simplified syllable counting
        let vowels = CharacterSet(charactersIn: "aeiouAEIOU")
        var count = 0

        for char in text {
            if char.unicodeScalars.allSatisfy({ vowels.contains($0) }) {
                count += 1
            }
        }

        return max(1, count)
    }

    private func checkGrammar(_ text: String) -> [String] {
        // Simplified grammar checking
        var issues: [String] = []

        // Check for common issues
        if text.contains("  ") {
            issues.append("Double spaces found")
        }

        // Check for incomplete sentences
        if text.hasSuffix(",") || text.hasSuffix(";") {
            issues.append("Text ends with comma or semicolon")
        }

        return issues
    }
}

Ensure content follows brand voice and style:

final class BrandGuidelinesGuardrail: OrbitGuardrail {
    let brandVoice: BrandVoice
    let prohibitedWords: Set<String>
    let requiredTerminology: [String: String]  // Wrong -> Right
    let toneRequirements: ToneRequirements

    struct BrandVoice {
        let adjectives: [String]  // professional, friendly, innovative
        let avoidWords: [String]  // cheap, basic, simple
    }

    struct ToneRequirements {
        let formality: FormalityLevel
        let perspective: Perspective

        enum FormalityLevel {
            case casual, professional, formal
        }

        enum Perspective {
            case firstPerson, secondPerson, thirdPerson
        }
    }

    init(
        brandVoice: BrandVoice,
        prohibitedWords: Set<String>,
        requiredTerminology: [String: String],
        toneRequirements: ToneRequirements
    ) {
        self.brandVoice = brandVoice
        self.prohibitedWords = prohibitedWords
        self.requiredTerminology = requiredTerminology
        self.toneRequirements = toneRequirements
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        var violations: [String] = []
        var suggestions: [String] = []

        let lowercased = output.lowercased()

        // Check prohibited words
        for word in prohibitedWords {
            if lowercased.contains(word.lowercased()) {
                violations.append("Prohibited word used: '\(word)'")
            }
        }

        // Check terminology
        for (wrong, right) in requiredTerminology {
            if lowercased.contains(wrong.lowercased()) {
                suggestions.append("Use '\(right)' instead of '\(word)'")
            }
        }

        // Check tone
        let actualTone = analyzeTone(output)
        if actualTone.formality != toneRequirements.formality {
            suggestions.append("Adjust formality to \(toneRequirements.formality)")
        }

        // Check perspective
        if !matchesPerspective(output, toneRequirements.perspective) {
            violations.append("Use \(toneRequirements.perspective) perspective")
        }

        // Check brand voice
        let voiceScore = calculateBrandVoiceScore(output)
        if voiceScore < 0.7 {
            suggestions.append("Content doesn't match brand voice (score: \(Int(voiceScore * 100))%)")
        }

        if !violations.isEmpty {
            return .needsRevision(
                feedback: violations.joined(separator: "\n")
            )
        }

        if !suggestions.isEmpty {
            return .partiallyApproved(
                feedback: suggestions.joined(separator: "\n")
            )
        }

        return .approved
    }

    private func analyzeTone(_ text: String) -> ToneRequirements {
        // Simplified tone analysis
        return ToneRequirements(
            formality: .professional,
            perspective: .secondPerson
        )
    }

    private func matchesPerspective(_ text: String, _ perspective: ToneRequirements.Perspective) -> Bool {
        let lowercased = text.lowercased()

        switch perspective {
        case .firstPerson:
            return lowercased.contains("we ") || lowercased.contains("our ")
        case .secondPerson:
            return lowercased.contains("you ") || lowercased.contains("your ")
        case .thirdPerson:
            return !lowercased.contains("we ") && !lowercased.contains("you ")
        }
    }

    private func calculateBrandVoiceScore(_ text: String) -> Double {
        // Calculate alignment with brand voice
        var score = 0.0
        let lowercased = text.lowercased()

        // Positive: contains brand adjectives
        for adjective in brandVoice.adjectives {
            if lowercased.contains(adjective.lowercased()) {
                score += 0.2
            }
        }

        // Negative: contains avoid words
        for word in brandVoice.avoidWords {
            if lowercased.contains(word.lowercased()) {
                score -= 0.3
            }
        }

        return max(0, min(1, score + 0.5))  // Base score of 0.5
    }
}

// Usage
let brandGuidelines = BrandGuidelinesGuardrail(
    brandVoice: BrandGuidelinesGuardrail.BrandVoice(
        adjectives: ["innovative", "reliable", "professional", "cutting-edge"],
        avoidWords: ["cheap", "basic", "simple", "ordinary"]
    ),
    prohibitedWords: ["guarantee", "best", "perfect", "flawless"],
    requiredTerminology: [
        "clients": "partners",
        "users": "customers",
        "product": "solution"
    ],
    toneRequirements: BrandGuidelinesGuardrail.ToneRequirements(
        formality: .professional,
        perspective: .secondPerson
    )
)

Best Practices

Guardrail Configuration

Layer Guardrails

Use multiple guardrails for defense-in-depth:

let secureTask = ORTask(
    description: "Process customer data",
    expectedOutput: "Customer report",
    guardrails: [
        // Layer 1: Input validation
        InputSanitizationGuardrail(),

        // Layer 2: Security
        .noPII,
        .noHarmfulContent,

        // Layer 3: Compliance
        PrivacyComplianceGuardrail(
            regulations: [.gdpr, .ccpa]
        ),

        // Layer 4: Quality
        QualityStandardsGuardrail(),

        // Layer 5: Business rules
        BusinessRulesGuardrail(rules: rules)
    ]
)

Environment-Specific

Adjust strictness by environment:

#if DEBUG
let strictness: ValidationStrictness = .lenient
let guardrails: [any OrbitGuardrail] = [
    .noHarmfulContent
]
#else
let strictness: ValidationStrictness = .strict
let guardrails: [any OrbitGuardrail] = [
    .noHarmfulContent,
    .noPII,
    .contentFilter,
    ComplianceGuardrail()
]
#endif

let task = ORTask(
    description: "Generate content",
    expectedOutput: "Content output",
    validationStrictness: strictness,
    guardrails: guardrails
)

Monitor Violations

Track guardrail violations:

final class GuardrailMonitor {
    static let shared = GuardrailMonitor()

    private var violations: [ViolationRecord] = []

    struct ViolationRecord {
        let timestamp: Date
        let guardrail: String
        let task: String
        let feedback: String
    }

    func recordViolation(
        guardrail: String,
        task: String,
        feedback: String
    ) {
        let record = ViolationRecord(
            timestamp: Date(),
            guardrail: guardrail,
            task: task,
            feedback: feedback
        )

        violations.append(record)

        // Alert if too many violations
        if recentViolationCount() > 10 {
            alertSecurityTeam()
        }
    }

    private func recentViolationCount() -> Int {
        let hourAgo = Date().addingTimeInterval(-3600)
        return violations.filter { $0.timestamp > hourAgo }.count
    }

    private func alertSecurityTeam() {
        // Send alert
    }
}

Test Guardrails

Unit test custom guardrails:

import XCTest
@testable import MyApp

final class GuardrailTests: XCTestCase {
    func testNoPIIGuardrail() async throws {
        let guardrail = NoPIIGuardrail()

        // Test: Should block email
        let emailContext = GuardrailContext(
            inputs: [:],
            output: "Contact me at [email protected]",
            metadata: [:],
            agent: nil,
            task: nil
        )

        let result = try await guardrail.check(
            context: emailContext
        )

        XCTAssertEqual(
            result,
            .needsRevision(
                feedback: "Contains PII: email address"
            )
        )

        // Test: Should approve clean content
        let cleanContext = GuardrailContext(
            inputs: [:],
            output: "This is clean content",
            metadata: [:],
            agent: nil,
            task: nil
        )

        let cleanResult = try await guardrail.check(
            context: cleanContext
        )

        XCTAssertEqual(cleanResult, .approved)
    }
}

Performance Optimization

Cache Validation Results

Cache expensive validation operations:

final class CachedGuardrail: OrbitGuardrail {
    private let underlying: OrbitGuardrail
    private var cache: [String: GuardrailResult] = [:]

    init(wrapping guardrail: OrbitGuardrail) {
        self.underlying = guardrail
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        // Create cache key
        let key = cacheKey(for: context)

        // Check cache
        if let cached = cache[key] {
            return cached
        }

        // Execute validation
        let result = try await underlying.check(context: context)

        // Cache result
        cache[key] = result

        return result
    }

    private func cacheKey(for context: GuardrailContext) -> String {
        // Create unique key from context
        return "\(context.output?.hashValue ?? 0)"
    }
}

Parallel Validation

Run independent guardrails in parallel:

func validateInParallel(
    context: GuardrailContext,
    guardrails: [any OrbitGuardrail]
) async throws -> GuardrailResult {
    try await withThrowingTaskGroup(of: GuardrailResult.self) { group in
        // Add all guardrail checks
        for guardrail in guardrails {
            group.addTask {
                try await guardrail.check(context: context)
            }
        }

        // Collect results
        var results: [GuardrailResult] = []
        for try await result in group {
            results.append(result)
        }

        // Aggregate results
        return aggregateResults(results)
    }
}

func aggregateResults(_ results: [GuardrailResult]) -> GuardrailResult {
    // If any failed, return first failure
    for result in results {
        if case .needsRevision(let feedback) = result {
            return .needsRevision(feedback: feedback)
        }
    }

    // If any partial, return first partial
    for result in results {
        if case .partiallyApproved(let feedback) = result {
            return .partiallyApproved(feedback: feedback)
        }
    }

    // All approved
    return .approved
}

Short-Circuit Evaluation

Stop on first failure for performance:

func validateWithShortCircuit(
    context: GuardrailContext,
    guardrails: [any OrbitGuardrail]
) async throws -> GuardrailResult {
    for guardrail in guardrails {
        let result = try await guardrail.check(context: context)

        // Stop on first failure
        switch result {
        case .needsRevision, .validationFailed:
            return result
        case .partiallyApproved, .approved:
            continue
        }
    }

    return .approved
}

Security Best Practices

Critical: Guardrails are your last line of defense. Always enable guardrails in production environments.

// Enable guardrails in environment
// .env file
ORBIT_ENABLE_GUARDRAILS=true

// Verify guardrails are enabled
guard ProcessInfo.processInfo.environment["ORBIT_ENABLE_GUARDRAILS"] == "true" else {
    fatalError("Guardrails must be enabled in production")
}

// Use strict validation
let productionTask = ORTask(
    description: "Production task",
    expectedOutput: "Production output",
    validationStrictness: .strict,  // Always strict in production
    guardrails: [
        .noHarmfulContent,
        .noPII,
        .contentFilter,
        ComplianceGuardrail()
    ]
)

// Log all guardrail violations
extension OrbitGuardrail {
    func checkWithLogging(
        context: GuardrailContext
    ) async throws -> GuardrailResult {
        let result = try await check(context: context)

        // Log violations
        switch result {
        case .needsRevision(let feedback),
             .partiallyApproved(let feedback):
            logger.warning("Guardrail violation: \(feedback)")
            GuardrailMonitor.shared.recordViolation(
                guardrail: String(describing: type(of: self)),
                task: context.task?.description ?? "Unknown",
                feedback: feedback
            )
        case .validationFailed:
            logger.error("Guardrail validation failed")
        case .approved:
            break
        }

        return result
    }
}

Troubleshooting

Common Issues

Guardrail Violations

Symptom: Tasks repeatedly fail guardrail validation.Causes:

Overly strict guardrails
Poorly configured thresholds
Agent generating inappropriate content
Conflicting guardrails

Diagnosis:

// Enable detailed logging
let task = ORTask(
    description: "Test task",
    expectedOutput: "Test output",
    guardrails: [
        VerboseGuardrail(wrapping: .noHarmfulContent)
    ]
)

final class VerboseGuardrail: OrbitGuardrail {
    let wrapped: any OrbitGuardrail

    init(wrapping guardrail: any OrbitGuardrail) {
        self.wrapped = guardrail
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        print("Checking guardrail: \(type(of: wrapped))")
        print("Output: \(context.output ?? "nil")")

        let result = try await wrapped.check(context: context)

        print("Result: \(result)")

        return result
    }
}

Solutions:

// 1. Adjust strictness for development
let task = ORTask(
    description: "Development task",
    expectedOutput: "Output",
    validationStrictness: .lenient  // Less strict
)

// 2. Increase token limit
let tokenGuardrail = TokenLimitGuardrail(
    maxTokens: 12000,  // Increased from 8000
    model: "gpt-4o"
)

// 3. Improve agent instructions
let agent = Agent(
    role: "Content Writer",
    purpose: "Generate safe, appropriate content",
    context: """
    Important guidelines:
    - Use professional, respectful language
    - Avoid controversial topics
    - Do not include personal information
    - Keep content factual and balanced
    """
)

// 4. Customize guardrail behavior
let customPIIGuardrail = NoPIIGuardrail(
    detectTypes: [.email, .phone],  // Only these types
    action: .redact  // Redact instead of block
)

False Positives

Symptom: Guardrails block legitimate content.Causes:

Overly sensitive detection
Pattern matching too broad
Context not considered

Solutions:

// 1. Add context-aware validation
final class ContextAwarePIIGuardrail: OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Check context
        if context.metadata["content_type"] == "example" {
            // Allow example emails in documentation
            return .approved
        }

        // Normal PII detection
        return try await detectPII(output)
    }

    private func detectPII(_ text: String) async throws -> GuardrailResult {
        // PII detection logic
        return .approved
    }
}

// 2. Use allowlists
final class AllowlistGuardrail: OrbitGuardrail {
    let allowedPatterns: [String]

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Check if matches allowed pattern
        for pattern in allowedPatterns {
            if output.range(of: pattern, options: .regularExpression) != nil {
                return .approved
            }
        }

        // Normal validation
        return .needsRevision(feedback: "Does not match allowed patterns")
    }
}

// 3. Adjust sensitivity
let sensitiveContentFilter = ContentFilterGuardrail(
    sensitivityLevel: .medium  // Reduced from .high
)

Performance Issues

Symptom: Guardrail validation is slow.Causes:

Too many guardrails
Expensive operations (API calls, ML models)
Sequential validation
No caching

Solutions:

// 1. Run guardrails in parallel
let parallelValidation = ParallelGuardrailValidator(
    guardrails: [
        .noHarmfulContent,
        .noPII,
        .contentFilter
    ]
)

// 2. Implement caching
let cachedGuardrail = CachedGuardrail(
    wrapping: ExpensiveAPIGuardrail()
)

// 3. Use lightweight guardrails for common cases
final class QuickCheckGuardrail: OrbitGuardrail {
    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Quick regex checks
        if output.isEmpty {
            return .needsRevision(feedback: "Output is empty")
        }

        if output.count > 100000 {
            return .needsRevision(feedback: "Output too long")
        }

        return .approved
    }
}

// 4. Short-circuit on first failure
for guardrail in guardrails {
    let result = try await guardrail.check(context: context)
    if case .needsRevision = result {
        return result  // Stop early
    }
}

Inconsistent Validation

Symptom: Same content passes sometimes, fails other times.Causes:

Non-deterministic validation
Race conditions
Stateful guardrails
External API inconsistency

Solutions:

// 1. Make guardrails deterministic
final class DeterministicGuardrail: OrbitGuardrail {
    // Don't use random numbers, timestamps, or external APIs

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Deterministic validation
        let hash = output.hashValue
        let isValid = hash % 2 == 0  // Always same for same input

        return isValid ? .approved : .needsRevision(feedback: "Validation failed")
    }
}

// 2. Use immutable state
final class StatelessGuardrail: OrbitGuardrail {
    let config: Config  // Immutable configuration

    struct Config {
        let threshold: Double
        let patterns: [String]
    }

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        // No mutable state, same input = same output
        return .approved
    }
}

// 3. Cache external API calls
final class CachedAPIGuardrail: OrbitGuardrail {
    private var cache: [String: GuardrailResult] = [:]

    func check(context: GuardrailContext) async throws -> GuardrailResult {
        guard let output = context.output else {
            return .validationFailed
        }

        // Check cache first
        if let cached = cache[output] {
            return cached
        }

        // Call API
        let result = try await callExternalAPI(output)

        // Cache result
        cache[output] = result

        return result
    }
}

Next Steps

Tasks

Configure tasks with guardrails and validation

Agents

Set up agent-level guardrails for security

Compliance

Learn about regulatory compliance features

Security

Implement comprehensive security measures

Pro Tip: Start with lenient validation during development to iterate quickly, then gradually increase strictness as you refine your content. Always use strict validation in production environments to ensure safety and compliance.

​Overview

Input Validation

Output Filtering

Content Safety

Compliance

Resource Control

Customizable

​Key Capabilities

​Guardrails Architecture

​Built-in Guardrails

​Content Safety Guardrails

​Resource Control Guardrails

​Input Validation

​Input Validation Guardrails

​Input Validation Best Practices

Validate Early

Whitelist Over Blacklist

Provide Clear Feedback

Layer Validation

​Output Validation

​Output Validation Strictness

​Validation Results

​Safety and Compliance

​Content Safety

​Privacy Compliance

​Industry-Specific Compliance

​Custom Guardrails

​OrbitGuardrail Protocol

​Custom Guardrail Examples

​Best Practices

​Guardrail Configuration

Layer Guardrails

Environment-Specific

Monitor Violations

Test Guardrails

​Performance Optimization

​Security Best Practices

​Troubleshooting

​Common Issues

​Next Steps

Tasks

Agents

Compliance

Security

Overview

Key Capabilities

Guardrails Architecture

Built-in Guardrails

Content Safety Guardrails

Resource Control Guardrails

Input Validation

Input Validation Guardrails

Input Validation Best Practices

Output Validation

Output Validation Strictness

Validation Results

Safety and Compliance

Content Safety

Privacy Compliance

Industry-Specific Compliance

Custom Guardrails

OrbitGuardrail Protocol

Custom Guardrail Examples

Best Practices

Guardrail Configuration

Performance Optimization

Security Best Practices

Troubleshooting

Common Issues

Next Steps