Decorator Pattern Pipeline

AICL Example: Decorator Pattern Pipeline Implements a decorator pattern pipeline for middleware chains, request/response filters, and cross-cutting concerns like logging, authentication, rate limiting, caching, and compression.

Instruction: Create an AICL specification for a decorator pattern pipeline. Include all 10 language levels: architecture (goals, constraints, risks with recovery, layers), entities, behaviors, conditions, events, concurrency, optimization, learning, security, and native code.

Response:
# AICL Example: Decorator Pattern Pipeline
# Implements a decorator pattern pipeline for middleware chains, request/response filters,
# and cross-cutting concerns like logging, authentication, rate limiting, caching, and compression.

# Level 1: Architecture
Goal: Build a decorator pattern pipeline that composes middleware chains for request processing,
    applies request and response filters for cross-cutting concerns, supports ordering and
    conditional activation of decorators, and enables transparent addition of behaviors without
    modifying core business logic.

Constraint: Each decorator must have a single responsibility and not mix concerns.
Constraint: Decorator order must be explicitly declared; implicit ordering is forbidden.
Constraint: A decorator must not swallow exceptions from inner handlers without re-raising or wrapping.
Constraint: Pipeline must support both request and response decoration phases.
Constraint: Each decorator must be independently testable without the full pipeline.

Risk: Decorator order sensitivity causes subtle bugs
Recovery: Document order dependencies; validate ordering constraints at pipeline construction time

Risk: Exception in decorator leaves pipeline in partial state
Recovery: Execute response decorators in reverse order on error path; ensure cleanup decorators run always

Risk: Performance overhead from deep decorator nesting
Recovery: Profile pipeline latency per decorator; collapse trivial decorators; add short-circuit option

Risk: Decorator side effects leak between requests
Recovery: Enforce per-request decorator state isolation; detect shared mutable state at registration

Risk: Missing decorator causes silent feature gap
Recovery: Declare required decorators per route; fail at startup if required decorator is missing

Risk: Decorator configuration drift across environments
Recovery: Version pipeline configurations; validate deployed configuration matches declared schema

Layer: Pipeline
    SubLayer: PipelineBuilder
    SubLayer: PipelineExecutor
    SubLayer: DecoratorChain
Layer: Decorators
    SubLayer: AuthenticationDecorator
    SubLayer: RateLimitDecorator
    SubLayer: LoggingDecorator
    SubLayer: CachingDecorator
    SubLayer: CompressionDecorator
Layer: Core
    SubLayer: RequestHandler
    SubLayer: ResponseProcessor
    SubLayer: ErrorHandler

Validation: Each decorator must implement before and after hooks
Validation: Pipeline must contain at least one terminal handler
Validation: Decorator ordering must satisfy declared dependency constraints
Validation: No decorator may modify the request object in place; must return new instance
Validation: Pipeline execution time must not exceed configured maximum
Validation: Error handler decorator must be present in every pipeline

# Level 2: Entities
Entity Pipeline
    pipelineId: string
    name: string
    decorators: list
    terminalHandler: string
    maxExecutionTime: integer
    createdAt: datetime
    version: string
    isActive: boolean

Entity Decorator
    decoratorId: string
    decoratorName: string
    decoratorType: string
    order: integer
    isRequired: boolean
    config: dict
    isActive: boolean
    appliesTo: list
    dependencies: list

Entity RequestContext
    requestId: string
    method: string
    path: string
    headers: dict
    body: any
    queryParams: dict
    attributes: dict
    startTime: datetime
    userId: string

Entity ResponseContext
    requestId: string
    statusCode: integer
    headers: dict
    body: any
    attributes: dict
    processingTime: integer
    decoratorTrail: list
    cacheHit: boolean

Entity DecoratorResult
    decoratorId: string
    phase: string
    duration: integer
    modified: boolean
    shortCircuited: boolean
    error: string
    timestamp: datetime

Entity PipelineExecution
    executionId: string
    pipelineId: string
    requestId: string
    startedAt: datetime
    completedAt: datetime
    totalDuration: integer
    decoratorResults: list
    finalStatus: string
    errorDecorator: string

# Level 3: Behaviors
Behavior BuildPipeline
    Input:
        name: string
        decoratorConfigs: list
        terminalHandler: string
    Output:
        pipelineId: string
    Action:
        Validate all decorator configurations
        Resolve decorator dependencies and validate availability
        Sort decorators by declared order with dependency resolution
        Check for circular dependencies between decorators
        Validate terminal handler exists
        Register pipeline with version stamp
        Return pipeline identifier

Behavior ExecutePipeline
    Input:
        pipeline: Pipeline
        request: RequestContext
    Output:
        response: ResponseContext
    Action:
        Initialize execution tracking
        Execute request phase of each decorator in order
        If any decorator short-circuits, skip remaining request decorators
        Invoke terminal handler with decorated request
        Execute response phase of each decorator in reverse order
        Handle errors by delegating to error handler decorator
        Collect timing and modification data from each decorator
        Return final decorated response

Behavior ApplyDecorator
    Input:
        decorator: Decorator
        context: any
        phase: string
    Output:
        result: DecoratorResult
        modifiedContext: any
    Action:
        Check decorator activation condition against context
        If inactive, pass through without modification
        Execute decorator logic for specified phase
        Track whether context was modified
        Handle decorator-specific errors gracefully
        Return decorator result and modified context

Behavior ShortCircuit
    Input:
        decorator: Decorator
        response: ResponseContext
        reason: string
    Output:
        response: ResponseContext
    Action:
        Set short-circuit flag on decorator result
        Skip remaining request-phase decorators
        Begin response phase from short-circuit point
        Add short-circuit reason to response attributes
        Return immediate response

Behavior HandlePipelineError
    Input:
        pipeline: Pipeline
        failedDecorator: string
        error: string
        request: RequestContext
    Output:
        errorResponse: ResponseContext
    Action:
        Log error with full decorator trail
        Execute cleanup phase for decorators that ran before failure
        Apply error handler decorator to produce user-facing response
        Record error in pipeline execution metrics
        Ensure no decorator state leaks to error response
        Return sanitized error response

Behavior ComposeDecorators
    Input:
        first: Decorator
        second: Decorator
    Output:
        composed: Decorator
    Action:
        Merge configuration of both decorators
        Compose before-hook as second then first
        Compose after-hook as first then second
        Resolve order conflicts with priority rule
        Register composed decorator with merged metadata
        Return composed decorator reference

# Level 4: Conditions
Condition: RateLimitExceeded
    When rate limit decorator detects request count exceeds threshold
    Then short-circuit with HTTP 429 and include retry-after header

Condition: AuthenticationFailed
    When authentication decorator cannot validate credentials
    Then short-circuit with HTTP 401 and terminate pipeline without reaching handler

Condition: CacheHitOnRead
    When caching decorator finds valid cached response for request
    Then short-circuit with cached response; skip terminal handler entirely

# Level 5: Events
Event: OnPipelineBuilt
    On new pipeline assembled and validated
    Action: Log pipeline composition, warm decorator instances, verify all dependencies met

Event: OnDecoratorShortCircuit
    On decorator triggers short-circuit during request phase
    Action: Record which decorator short-circuited and why; update pipeline metrics

Event: OnPipelineError
    On unhandled exception during pipeline execution
    Action: Alert on-call, increment error metric, preserve request context for debugging

Event: OnDecoratorAdded
    On new decorator registered in the system
    Action: Validate decorator contract compliance, add to decorator catalog, test in isolation

# Level 6: Concurrency
Parallel:
    Independent pipeline executions for different requests
    Decorator activation condition evaluation
    Caching decorator lookup against distributed cache
    Rate limit counter updates with atomic increments
    Pipeline metric aggregation from all execution threads

# Level 7: Optimization
Optimize: Pipeline execution latency
    Priority: Short-circuit expensive decorators early; cache decorator activation evaluation results

Optimize: Decorator instantiation overhead
    Priority: Pool decorator instances; reuse across requests; lazy-initialize expensive resources

# Level 8: Learning
Learn: Optimal decorator ordering
    Goal: Minimize average pipeline latency by reordering decorators based on short-circuit frequency
    Adapt: Decorator order within dependency constraints
    Based: Short-circuit rate per decorator and cost of executing each decorator

Learn: Cache effectiveness per route
    Goal: Maximize cache hit ratio while minimizing memory usage
    Adapt: Caching decorator TTL and cacheable routes per method-path pattern
    Based: Cache hit ratio, response size, and request frequency per route

# Level 9: Security
Security:
    Encrypt: Request bodies containing sensitive data as they pass through decorator pipeline
    Encrypt: Decorator configuration secrets using vault-backed encrypted config
    Protect: Authentication decorator tokens with short-lived JWT and rotation
    Protect: Rate limit state from manipulation via signed counters stored in secure backend
    Protect: Pipeline from decorator injection by validating decorator signatures at registration

# Level 10: Native
TypeScript
{
type RequestPhase = 'before' | 'after';
type Next = () => Promise<ResponseContext>;

interface RequestContext {
    requestId: string;
    method: string;
    path: string;
    headers: Record<string, string>;
    body: any;
    queryParams: Record<string, string>;
    attributes: Record<string, any>;
    startTime: Date;
    userId?: string;
}

interface ResponseContext {
    requestId: string;
    statusCode: number;
    headers: Record<string, string>;
    body: any;
    attributes: Record<string, any>;
    processingTime: number;
    decoratorTrail: string[];
    cacheHit: boolean;
}

interface Decorator {
    name: string;
    order: number;
    before?: (req: RequestContext, next: Next) => Promise<ResponseContext>;
    after?: (req: RequestContext, res: ResponseContext) => Promise<ResponseContext>;
    isActive: (req: RequestContext) => boolean;
}

class Pipeline {
    private decorators: Decorator[] = [];
    private terminalHandler: (req: RequestContext) => Promise<ResponseContext>;

    constructor(terminalHandler: (req: RequestContext) => Promise<ResponseContext>) {
        this.terminalHandler = terminalHandler;
    }

    use(decorator: Decorator): Pipeline {
        this.decorators.push(decorator);
        this.decorators.sort((a, b) => a.order - b.order);
        return this;
    }

    async execute(request: RequestContext): Promise<ResponseContext> {
        const trail: string[] = [];
        const startTime = Date.now();

        const buildChain = (index: number): Next => {
            return async (): Promise<ResponseContext> => {
                if (index >= this.decorators.length) {
                    const response = await this.terminalHandler(request);
                    return {
                        requestId: request.requestId,
                        statusCode: response.statusCode,
                        headers: response.headers,
                        body: response.body,
                        attributes: {},
                        processingTime: Date.now() - startTime,
                        decoratorTrail: trail,
                        cacheHit: false,
                    };
                }

                const decorator = this.decorators[index];
                if (!decorator.isActive(request)) {
                    return buildChain(index + 1)();
                }

                trail.push(decorator.name);

                if (decorator.before) {
                    return decorator.before(request, buildChain(index + 1));
                }
                return buildChain(index + 1)();
            };
        };

        let response = await buildChain(0)();

        for (let i = this.decorators.length - 1; i >= 0; i--) {
            const decorator = this.decorators[i];
            if (decorator.after && decorator.isActive(request)) {
                response = await decorator.after(request, response);
            }
        }

        return response;
    }
}

const loggingDecorator: Decorator = {
    name: 'logging',
    order: 0,
    before: async (req, next) => {
        console.log(`[${req.requestId}] --> ${req.method} ${req.path}`);
        const res = await next();
        console.log(`[${req.requestId}] <-- ${res.statusCode}`);
        return res;
    },
    isActive: () => true,
};

const authDecorator: Decorator = {
    name: 'authentication',
    order: 10,
    before: async (req, next) => {
        const token = req.headers['authorization'];
        if (!token) {
            return {
                requestId: req.requestId,
                statusCode: 401,
                headers: {},
                body: { error: 'Unauthorized' },
                attributes: {},
                processingTime: 0,
                decoratorTrail: [],
                cacheHit: false,
            };
        }
        req.userId = token.replace('Bearer ', '');
        return next();
    },
    isActive: (req) => !req.path.startsWith('/public'),
};

const rateLimitDecorator: Decorator = {
    name: 'rate-limit',
    order: 5,
    before: async (req, next) => {
        const count = rateLimitCounter.increment(req.attributes['clientIp'] as string);
        if (count > 100) {
            return {
                requestId: req.requestId,
                statusCode: 429,
                headers: { 'retry-after': '60' },
                body: { error: 'Rate limit exceeded' },
                attributes: {},
                processingTime: 0,
                decoratorTrail: [],
                cacheHit: false,
            };
        }
        return next();
    },
    isActive: () => true,
};

class RateLimitCounter {
    private counts = new Map<string, number>();
    increment(key: string): number {
        const current = (this.counts.get(key) || 0) + 1;
        this.counts.set(key, current);
        return current;
    }
}

const rateLimitCounter = new RateLimitCounter();

async function handler(req: RequestContext): Promise<ResponseContext> {
    return {
        requestId: req.requestId,
        statusCode: 200,
        headers: { 'content-type': 'application/json' },
        body: { message: 'Hello', userId: req.userId },
        attributes: {},
        processingTime: 0,
        decoratorTrail: [],
        cacheHit: false,
    };
}

const pipeline = new Pipeline(handler)
    .use(loggingDecorator)
    .use(rateLimitDecorator)
    .use(authDecorator);

const req: RequestContext = {
    requestId: 'req-1', method: 'GET', path: '/api/data',
    headers: { authorization: 'Bearer user-123' },
    body: null, queryParams: {}, attributes: { clientIp: '10.0.0.1' },
    startTime: new Date(),
};

pipeline.execute(req).then(res => console.log('Response:', res.statusCode, res.body));
}


Plugin Architecture

AICL Example: Plugin Architecture System Implements a dynamic plugin architecture with runtime loading, sandboxing, API versioning, dependency resolution between plugins, hot reload capabilities, and plugin lifecycle management.

Instruction: Create an AICL specification for a plugin architecture. Include all 10 language levels: architecture (goals, constraints, risks with recovery, layers), entities, behaviors, conditions, events, concurrency, optimization, learning, security, and native code.

Response:
# AICL Example: Plugin Architecture System
# Implements a dynamic plugin architecture with runtime loading, sandboxing, API versioning,
# dependency resolution between plugins, hot reload capabilities, and plugin lifecycle management.

# Level 1: Architecture
Goal: Build a plugin architecture system supporting dynamic loading and unloading of plugins at runtime,
    sandboxed execution to isolate plugin failures, versioned APIs for backward compatibility,
    automatic dependency resolution between plugins, and hot reload without service interruption.

Constraint: Plugins must not access host internals except through declared API surfaces.
Constraint: Each plugin must declare its API version requirement; mismatched versions are rejected.
Constraint: Plugin sandbox must limit CPU, memory, and I/O to configured quotas.
Constraint: Hot reload must not interrupt in-flight requests using the old plugin version.
Conseint: Plugin dependency cycles must be detected and rejected at installation time.

Risk: Malicious plugin escapes sandbox and accesses host resources
Recovery: Kill plugin process immediately; audit all accessed resources; blacklist plugin signature

Risk: Plugin hot reload leaves orphaned event listeners or timers
Recovery: Track all registered callbacks per plugin; revoke and clean up on unload before activating new version

Risk: API version mismatch causes runtime errors in dependent plugins
Recovery: Validate version compatibility graph before loading; isolate incompatible plugins to separate sandbox

Risk: Plugin memory leak degrades host performance
Recovery: Enforce per-plugin memory quota; automatically unload plugin exceeding limit with notification

Risk: Circular plugin dependency prevents any plugin from loading
Recovery: Detect cycles at installation; reject with clear dependency chain visualization

Risk: Plugin load failure crashes host application
Recovery: Isolate plugin initialization in try-catch with fallback; mark plugin as failed without affecting host

Layer: Core
    SubLayer: PluginLoader
    SubLayer: PluginRegistry
    SubLayer: LifecycleManager
Layer: Isolation
    SubLayer: SandboxRuntime
    SubLayer: ResourceQuota
    SubLayer: PermissionManager
Layer: Compatibility
    SubLayer: ApiVersionManager
    SubLayer: DependencyResolver
    SubLayer: CompatibilityChecker

Validation: Plugin manifest must declare name, version, API version, and dependencies
Validation: Plugin sandbox must prevent access to undeclared host APIs
Validation: Plugin memory usage must remain below configured quota
Validation: Hot reload must complete within 30 seconds or rollback
Validation: All plugin dependencies must be satisfied before activation
Validation: Plugin must implement lifecycle hooks: install, activate, deactivate, uninstall

# Level 2: Entities
Entity PluginManifest
    pluginId: string
    pluginName: string
    version: string
    apiVersion: string
    dependencies: list
    permissions: list
    entryPoint: string
    description: string
    author: string

Entity PluginInstance
    instanceId: string
    pluginId: string
    version: string
    state: string
    loadedAt: datetime
    memoryUsage: integer
    cpuUsage: float
    requestCount: integer
    errorCount: integer
    sandboxId: string

Entity ApiVersion
    versionId: string
    version: string
    surface: dict
    deprecatedMethods: list
    removedMethods: list
    introducedAt: datetime
    sunsetAt: datetime
    replacementVersion: string

Entity DependencyEdge
    edgeId: string
    sourcePlugin: string
    targetPlugin: string
    requiredVersion: string
    dependencyType: string
    isOptional: boolean
    resolvedVersion: string

Entity SandboxConfig
    sandboxId: string
    maxMemoryMb: integer
    maxCpuPercent: float
    maxFileDescriptors: integer
    networkAccess: boolean
    allowedApis: list
    timeoutSeconds: integer
    logLevel: string

Entity HotReloadState
    reloadId: string
    pluginId: string
    oldVersion: string
    newVersion: string
    state: string
    inFlightRequests: integer
    startedAt: datetime
    completedAt: datetime
    rollbackReason: string

# Level 3: Behaviors
Behavior LoadPlugin
    Input:
        manifest: PluginManifest
        sandboxConfig: SandboxConfig
    Output:
        instanceId: string
    Action:
        Validate manifest completeness and schema
        Check API version compatibility with host
        Resolve declared dependencies against registry
        Detect circular dependencies in resolved graph
        Create sandboxed runtime environment
        Load plugin code into sandbox
        Execute plugin install lifecycle hook
        Transition plugin to activated state
        Return plugin instance identifier

Behavior UnloadPlugin
    Input:
        instanceId: string
        graceful: boolean
    Output:
        result: string
    Action:
        Transition plugin to deactivating state
        Wait for in-flight requests to complete or timeout
        Execute plugin deactivate lifecycle hook
        Revoke all registered callbacks and listeners
        Destroy sandbox environment and free resources
        Remove plugin from active registry
        Execute plugin uninstall lifecycle hook
        Return unload result

Behavior HotReload
    Input:
        pluginId: string
        newManifest: PluginManifest
    Output:
        reloadId: string
        result: string
    Action:
        Validate new manifest against compatibility rules
        Load new plugin version in parallel sandbox
        Drain in-flight requests from old version
        Switch routing to new version atomically
        Verify new version health via smoke test
        If health check fails, rollback to old version
        Unload old version after successful switch
        Return reload result with timing

Behavior ResolveDependencies
    Input:
        pluginId: string
        dependencies: list
    Output:
        resolution: dict
        graphValid: boolean
    Action:
        Build dependency graph from plugin requirements
        Perform topological sort for load ordering
        Detect cycles via depth-first traversal
        Resolve version conflicts with semantic versioning rules
        Identify missing dependencies
        Compute installation order
        Return resolution with validity flag

Behavior EnforceSandbox
    Input:
        sandboxId: string
        operation: string
        resource: string
    Output:
        allowed: boolean
    Action:
        Check operation against sandbox permission list
        Verify resource access is in allowed API surface
        Monitor current resource usage against quota
        If quota exceeded, reject operation and alert
        If permission denied, log violation attempt
        Return access decision

Behavior VersionApiCall
    Input:
        pluginId: string
        apiMethod: string
        args: dict
    Output:
        result: any
        versionUsed: string
    Action:
        Determine plugin's declared API version
        Look up method availability at that version
        If method deprecated, log warning with migration hint
        If method removed, reject with clear error and alternative
        Route call to versioned implementation
        Return result with API version used

# Level 4: Conditions
Condition: SandboxMemoryExceeded
    When plugin memory usage exceeds sandbox quota
    Then terminate plugin process, mark as failed, and notify host application

Condition: ApiVersionDeprecated
    When plugin uses API method marked as deprecated in current version
    Then log deprecation warning with migration guide; continue execution but schedule removal notice

Condition: DependencyMissing
    When required plugin dependency is not installed
    Then reject plugin activation with list of missing dependencies and installation suggestions

# Level 5: Events
Event: OnPluginLoaded
    On plugin successfully loaded and activated
    Action: Register plugin routes, emit capability event, update discovery service

Event: OnPluginFailed
    On plugin load or execution error requiring isolation
    Action: Capture crash dump, notify administrators, activate fallback if available

Event: OnHotReloadComplete
    On plugin hot reload successfully switched versions
    Action: Log version transition, verify all routes functional, update monitoring

Event: OnSandboxViolation
    On plugin attempts operation outside sandbox permissions
    Action: Log security violation, increment violation counter, unload plugin after 3 violations

# Level 6: Concurrency
Parallel:
    Plugin loading and initialization for independent plugins
    Request routing to multiple active plugin instances
    Sandbox resource monitoring across all active sandboxes
    Hot reload new version loading while old version still serving
    Dependency resolution graph analysis for pending installations

# Level 7: Optimization
Optimize: Plugin load time
    Priority: Pre-download plugin artifacts; lazy-initialize non-critical resources; cache compiled code

Optimize: Hot reload switchover latency
    Priority: Pre-warm new version in parallel; use atomic pointer swap for routing switch

# Level 8: Learning
Learn: Plugin resource usage patterns
    Goal: Right-size sandbox quotas based on actual usage to reduce over-provisioning
    Adapt: Per-plugin memory and CPU quota settings
    Based: Peak and average resource consumption over sliding 24-hour window

Learn: API deprecation impact
    Goal: Prioritize API migration efforts based on plugin usage of deprecated methods
    Adapt: Deprecation timeline and migration resource allocation
    Based: Call frequency to deprecated API methods across all active plugins

# Level 9: Security
Security:
    Encrypt: Plugin code artifacts at rest with code signing verification on load
    Encrypt: Inter-plugin communication via encrypted channels with per-plugin certificates
    Protect: Host APIs from unauthorized plugin access via capability-based security model
    Protect: Plugin sandbox escape attempts with kernel-level isolation and syscall filtering
    Protect: Plugin marketplace from supply chain attacks with verified publisher signatures and scanning

# Level 10: Native
Python
{
import importlib
import importlib.util
import sys
import threading
import traceback
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Optional
from enum import Enum
import time

class PluginState(Enum):
    LOADED = "loaded"
    ACTIVATED = "activated"
    DEACTIVATING = "deactivating"
    DEACTIVATED = "deactivated"
    FAILED = "failed"

@dataclass
class PluginManifest:
    plugin_id: str
    plugin_name: str
    version: str
    api_version: str
    dependencies: List[str] = field(default_factory=list)
    permissions: List[str] = field(default_factory=list)
    entry_point: str = "main"
    description: str = ""
    author: str = ""

@dataclass
class SandboxConfig:
    sandbox_id: str
    max_memory_mb: int = 256
    max_cpu_percent: float = 50.0
    network_access: bool = False
    allowed_apis: List[str] = field(default_factory=list)
    timeout_seconds: int = 30

class PluginSandbox:
    def __init__(self, config: SandboxConfig):
        self.config = config
        self.memory_usage = 0
        self.violation_count = 0
        self._lock = threading.Lock()

    def check_permission(self, api_name: str) -> bool:
        if api_name in self.config.allowed_apis:
            return True
        with self._lock:
            self.violation_count += 1
        return False

    def check_memory(self, used_mb: int) -> bool:
        if used_mb <= self.config.max_memory_mb:
            self.memory_usage = used_mb
            return True
        return False

class PluginInstance:
    def __init__(self, manifest: PluginManifest, sandbox: PluginSandbox):
        self.instance_id = f"{manifest.plugin_id}-{manifest.version}"
        self.manifest = manifest
        self.sandbox = sandbox
        self.state = PluginState.LOADED
        self.module = None
        self.request_count = 0
        self.error_count = 0
        self.loaded_at = time.time()

class PluginManager:
    def __init__(self):
        self.plugins: Dict[str, PluginInstance] = {}
        self.api_versions: Dict[str, Dict] = {}
        self._dependency_graph: Dict[str, List[str]] = {}
        self._lock = threading.RLock()

    def register_api_version(self, version: str, surface: Dict):
        self.api_versions[version] = surface

    def load_plugin(self, manifest: PluginManifest, sandbox_config: SandboxConfig) -> str:
        with self._lock:
            if not self._check_api_compatibility(manifest.api_version):
                raise ValueError(f"API version {manifest.api_version} incompatible")

            if not self._resolve_dependencies(manifest):
                raise ValueError(f"Unresolved dependencies for {manifest.plugin_id}")

            if self._detect_cycle(manifest.plugin_id, manifest.dependencies):
                raise ValueError(f"Circular dependency detected for {manifest.plugin_id}")

            sandbox = PluginSandbox(sandbox_config)
            instance = PluginInstance(manifest, sandbox)
            sandbox.check_permission("lifecycle.install")

            instance.state = PluginState.ACTIVATED
            self.plugins[manifest.plugin_id] = instance
            self._dependency_graph[manifest.plugin_id] = manifest.dependencies

            return instance.instance_id

    def unload_plugin(self, plugin_id: str, graceful: bool = True) -> str:
        with self._lock:
            instance = self.plugins.get(plugin_id)
            if not instance:
                return f"Plugin {plugin_id} not found"

            instance.state = PluginState.DEACTIVATING
            if graceful and instance.request_count > 0:
                timeout = 30
                start = time.time()
                while instance.request_count > 0 and (time.time() - start) < timeout:
                    time.sleep(0.1)

            instance.state = PluginState.DEACTIVATED
            del self.plugins[plugin_id]
            self._dependency_graph.pop(plugin_id, None)
            return f"Plugin {plugin_id} unloaded successfully"

    def hot_reload(self, plugin_id: str, new_manifest: PluginManifest) -> str:
        old_instance = self.plugins.get(plugin_id)
        if not old_instance:
            return f"Plugin {plugin_id} not found for hot reload"

        old_version = old_instance.manifest.version
        sandbox_config = old_instance.sandbox.config

        try:
            new_instance_id = self.load_plugin(new_manifest, sandbox_config)
            self.unload_plugin(plugin_id, graceful=True)
            return f"Hot reload: {old_version} -> {new_manifest.version} ({new_instance_id})"
        except Exception as e:
            return f"Hot reload failed: {str(e)}, old version still active"

    def _check_api_compatibility(self, api_version: str) -> bool:
        return api_version in self.api_versions

    def _resolve_dependencies(self, manifest: PluginManifest) -> bool:
        for dep in manifest.dependencies:
            if dep not in self.plugins:
                return False
        return True

    def _detect_cycle(self, plugin_id: str, dependencies: List[str]) -> bool:
        visited = set()
        def dfs(node: str) -> bool:
            if node in visited:
                return True
            visited.add(node)
            for dep in self._dependency_graph.get(node, []):
                if dfs(dep):
                    return True
            visited.discard(node)
            return False
        self._dependency_graph[plugin_id] = dependencies
        result = dfs(plugin_id)
        if result:
            self._dependency_graph.pop(plugin_id, None)
        return result

manager = PluginManager()
manager.register_api_version("1.0", {"execute": True, "query": True})
manifest = PluginManifest("auth-plugin", "Auth Plugin", "1.0.0", "1.0", [])
config = SandboxConfig("sandbox-1", allowed_apis=["lifecycle.install", "execute"])
instance_id = manager.load_plugin(manifest, config)
print(f"Loaded: {instance_id}")
}


Hexagonal Architecture

AICL Example: Hexagonal Architecture Implements a hexagonal (ports and adapters) architecture with clean domain core isolation, inbound and outbound ports, infrastructure adapters, and comprehensive testability guarantees.

Instruction: Create an AICL specification for a hexagonal architecture. Include all 10 language levels: architecture (goals, constraints, risks with recovery, layers), entities, behaviors, conditions, events, concurrency, optimization, learning, security, and native code.

Response:
# AICL Example: Hexagonal Architecture
# Implements a hexagonal (ports and adapters) architecture with clean domain core isolation,
# inbound and outbound ports, infrastructure adapters, and comprehensive testability guarantees.

# Level 1: Architecture
Goal: Build a hexagonal architecture that isolates the domain core from all infrastructure concerns,
    defines explicit ports for inbound (driving) and outbound (driven) interactions,
    provides swappable adapters for each port, and guarantees the domain is fully testable
    without any infrastructure dependency.

Constraint: Domain core must have zero imports from infrastructure or framework packages.
Constraint: All external interactions must flow through declared ports with defined interfaces.
Constraint: Adapters must depend on ports; ports must never depend on adapters.
Constraint: Each port must have at least one production adapter and one test adapter.
Constraint: Domain events must be defined in the domain and published through an outbound port.

Risk: Domain logic leaks into adapter implementation
Recovery: Enforce dependency rule via architectural fitness functions in CI; auto-fail builds on violation

Risk: Port interface too generic reduces domain expressiveness
Recovery: Design ports with domain-specific method names; avoid generic CRUD-style port interfaces

Risk: Adapter state inconsistency during domain operation
Recovery: Wrap multi-port operations in unit of work; ensure atomic commit across adapters

Risk: Test adapter diverges from production adapter behavior
Recovery: Run contract tests against both adapters; validate output equivalence for same inputs

Risk: Infrastructure exception propagates into domain core
Recovery: Adapter must catch and translate all infrastructure exceptions to domain error types at port boundary

Risk: Missing adapter for required port at startup
Recovery: Validate all ports have registered adapters at application bootstrap; fail fast with missing list

Layer: Domain
    SubLayer: DomainModel
    SubLayer: DomainService
    SubLayer: DomainEvent
    SubLayer: ValueObject
Layer: Application
    SubLayer: InboundPort
    SubLayer: UseCase
    SubLayer: OutboundPort
    SubLayer: PortRegistry
Layer: Infrastructure
    SubLayer: PersistenceAdapter
    SubLayer: MessagingAdapter
    SubLayer: ExternalServiceAdapter
    SubLayer: TestAdapter

Validation: Domain package must have no imports from infrastructure or adapter packages
Validation: Every outbound port must have at least one adapter implementation
Validation: Every inbound port must have at least one driving adapter
Validation: Adapter must not expose infrastructure types through port interface
Validation: Domain model invariants must hold after any use case execution
Validation: Test adapter must pass same contract tests as production adapter

# Level 2: Entities
Entity Port
    portId: string
    portName: string
    direction: string
    interfaceSignature: dict
    methods: list
    adapterCount: integer
    isActive: boolean
    domainArea: string

Entity Adapter
    adapterId: string
    adapterName: string
    portName: string
    adapterType: string
    technology: string
    config: dict
    isPrimary: boolean
    healthStatus: string
    registeredAt: datetime

Entity DomainModel
    modelId: string
    modelName: string
    aggregateType: string
    invariants: list
    methods: list
    events: list
    dependencies: list
    isImmutable: boolean

Entity UseCase
    useCaseId: string
    useCaseName: string
    inboundPort: string
    outboundPorts: list
    preconditions: list
    postconditions: list
    errorCases: list
    transactionBoundary: string

Entity DomainEvent
    eventId: string
    eventType: string
    aggregateId: string
    payload: dict
    occurredAt: datetime
    publishedVia: string
    schemaVersion: string
    isImmutable: boolean

Entity PortContract
    contractId: string
    portName: string
    testCases: list
    invariantChecks: list
    lastValidatedAt: datetime
    productionPassRate: float
    testAdapterPassRate: float
    driftDetected: boolean

# Level 3: Behaviors
Behavior RegisterAdapter
    Input:
        adapter: Adapter
        portName: string
    Output:
        registrationId: string
    Action:
        Validate adapter implements port interface fully
        Run contract test suite against adapter
        Compare results with existing adapter for drift
        Register adapter with port in port registry
        Mark as primary if no other adapter is primary
        Validate port now has at least one adapter
        Return registration confirmation

Behavior ExecuteUseCase
    Input:
        useCaseName: string
        inputPayload: dict
    Output:
        result: dict
        events: list
    Action:
        Resolve use case from registry
        Validate preconditions against input
        Begin transaction boundary
        Execute domain logic through inbound port
        Persist state changes via outbound port
        Publish domain events via outbound port
        Validate postconditions
        Commit transaction
        Return result and emitted events

Behavior TranslateException
    Input:
        adapterId: string
        infrastructureException: any
        portMethod: string
    Output:
        domainError: dict
    Action:
        Catch infrastructure exception at adapter boundary
        Map exception type to domain error category
        Preserve root cause in domain error details
        Strip infrastructure-specific stack frames
        Log translation event for debugging
        Return domain-appropriate error type

Behavior ValidateArchitecture
    Input:
        applicationRoot: string
    Output:
        valid: boolean
        violations: list
    Action:
        Scan all import dependencies in domain package
        Flag any import from infrastructure or adapter package
        Verify all declared ports have adapter implementations
        Check inbound ports are only called from adapters
        Check domain events are only published through outbound ports
        Return validation result with any violations

Behavior RunContractTest
    Input:
        portName: string
        adapterId: string
    Output:
        passRate: float
        failures: list
    Action:
        Load contract test suite for port
        Execute each test case against adapter
        Compare output with expected results
        Detect behavioral drift from reference adapter
        Record pass rate and failure details
        Alert if drift exceeds threshold
        Return test results

Behavior PublishDomainEvent
    Input:
        event: DomainEvent
        portName: string
    Output:
        published: boolean
    Action:
        Validate event schema matches declared type
        Resolve outbound port for event publishing
        Translate event to adapter-specific format
        Publish via adapter without blocking use case
        Handle publish failure with retry or dead letter
        Return publication status

# Level 4: Conditions
Condition: ArchitectureViolationDetected
    When domain package imports from infrastructure or adapter package
    Then fail CI build with violation report listing illegal dependencies and suggested fixes

Condition: AdapterContractDrift
    When test adapter and production adapter produce different results for same input
    Then flag drift in port contract and require review before next deployment

Condition: MissingAdapterAtStartup
    When port has no registered adapter at application initialization
    Then fail application startup with error listing all ports missing adapters

# Level 5: Events
Event: OnAdapterRegistered
    On new adapter registered for a port
    Action: Run contract tests, update port registry, notify dependent use cases

Event: OnDomainEventPublished
    On domain event published through outbound port
    Action: Log event for audit trail, trigger any registered side-effect handlers

Event: OnArchitectureViolation
    On fitness function detects domain leaking infrastructure dependency
    Action: Block deployment, create architectural debt ticket, notify team lead

Event: OnContractTestFailed
    On adapter fails contract test against port specification
    Action: Alert adapter owner, prevent adapter from being marked as primary

# Level 6: Concurrency
Parallel:
    Contract test execution across multiple adapters simultaneously
    Domain event publishing to multiple outbound port adapters
    Architecture validation scanning across all packages
    Use case execution with independent port interactions
    Adapter health monitoring for all registered adapters

# Level 7: Optimization
Optimize: Adapter resolution latency
    Priority: Cache adapter lookup per port; pre-instantiate stateless adapters; pool stateful ones

Optimize: Contract test execution time
    Priority: Run contract tests in parallel per adapter; incremental testing on changed adapters only

# Level 8: Learning
Learn: Adapter performance characteristics
    Goal: Select optimal adapter per port based on operation profile and performance requirements
    Adapt: Primary adapter selection per port
    Based: Adapter latency, throughput, and error rate metrics across different operation types

Learn: Domain model complexity trends
    Goal: Identify domain areas growing too complex and suggest decomposition
    Adapt: Use case and aggregate boundary recommendations
    Based: Method count, dependency depth, and invariant complexity per domain model

# Level 9: Security
Security:
    Encrypt: All data crossing port boundaries with TLS for network adapters and AES-256 for persistence
    Encrypt: Domain event payloads containing PII before passing to outbound port adapters
    Protect: Domain core from injection attacks by validating all inputs at inbound port boundary
    Protect: Port interfaces from unauthorized access with role-based guards at driving adapter layer
    Protect: Adapter credentials with vault-managed secrets and automatic rotation

# Level 10: Native
Python
{
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Type
from enum import Enum
import time
from contextlib import contextmanager

# ===================== DOMAIN CORE =====================

@dataclass(frozen=True)
class OrderId:
    value: str

@dataclass(frozen=True)
class Money:
    amount: float
    currency: str

class OrderStatus(Enum):
    DRAFT = "draft"
    CONFIRMED = "confirmed"
    SHIPPED = "shipped"
    CANCELLED = "cancelled"

@dataclass
class LineItem:
    product_id: str
    quantity: int
    unit_price: Money

class Order:
    def __init__(self, order_id: OrderId, customer_id: str):
        self._order_id = order_id
        self._customer_id = customer_id
        self._items: List[LineItem] = []
        self._status = OrderStatus.DRAFT
        self._events: List['DomainEvent'] = []

    @property
    def order_id(self) -> OrderId:
        return self._order_id

    @property
    def status(self) -> OrderStatus:
        return self._status

    @property
    def total(self) -> Money:
        if not self._items:
            return Money(0.0, "USD")
        total = sum(i.quantity * i.unit_price.amount for i in self._items)
        return Money(total, self._items[0].unit_price.currency)

    def add_item(self, item: LineItem) -> None:
        self._validate_status(OrderStatus.DRAFT)
        self._items.append(item)

    def confirm(self) -> None:
        self._validate_status(OrderStatus.DRAFT)
        if not self._items:
            raise ValueError("Cannot confirm empty order")
        self._status = OrderStatus.CONFIRMED
        self._events.append(OrderConfirmedEvent(
            aggregate_id=self._order_id.value,
            total=self.total.amount
        ))

    def cancel(self) -> None:
        if self._status == OrderStatus.SHIPPED:
            raise ValueError("Cannot cancel shipped order")
        self._status = OrderStatus.CANCELLED

    def _validate_status(self, expected: OrderStatus) -> None:
        if self._status != expected:
            raise ValueError(f"Expected {expected.value}, got {self._status.value}")

    def pop_events(self) -> List['DomainEvent']:
        events = self._events[:]
        self._events.clear()
        return events

@dataclass
class DomainEvent:
    event_type: str
    aggregate_id: str
    payload: Dict[str, Any]
    occurred_at: float = field(default_factory=time.time)

@dataclass
class OrderConfirmedEvent(DomainEvent):
    aggregate_id: str
    total: float
    event_type: str = "order.confirmed"
    payload: Dict[str, Any] = field(default_factory=dict)

# ===================== PORTS =====================

class OrderRepositoryPort(ABC):
    @abstractmethod
    def find_by_id(self, order_id: OrderId) -> Optional[Order]:
        pass

    @abstractmethod
    def save(self, order: Order) -> None:
        pass

class EventPublisherPort(ABC):
    @abstractmethod
    def publish(self, events: List[DomainEvent]) -> None:
        pass

class NotificationPort(ABC):
    @abstractmethod
    def send_order_confirmation(self, customer_id: str, order_id: str, total: float) -> None:
        pass

# ===================== USE CASES =====================

class ConfirmOrderUseCase:
    def __init__(self, repo: OrderRepositoryPort, publisher: EventPublisherPort,
                 notifier: NotificationPort):
        self._repo = repo
        self._publisher = publisher
        self._notifier = notifier

    def execute(self, order_id: str) -> Dict[str, Any]:
        oid = OrderId(order_id)
        order = self._repo.find_by_id(oid)
        if not order:
            raise ValueError(f"Order {order_id} not found")

        order.confirm()
        self._repo.save(order)

        events = order.pop_events()
        self._publisher.publish(events)

        for event in events:
            if isinstance(event, OrderConfirmedEvent):
                self._notifier.send_order_confirmation(
                    order._customer_id, order_id, event.total
                )

        return {"order_id": order_id, "status": order.status.value}

# ===================== ADAPTERS =====================

class InMemoryOrderRepository(OrderRepositoryPort):
    def __init__(self):
        self._store: Dict[str, Order] = {}

    def find_by_id(self, order_id: OrderId) -> Optional[Order]:
        return self._store.get(order_id.value)

    def save(self, order: Order) -> None:
        self._store[order.order_id.value] = order

class ConsoleEventPublisher(EventPublisherPort):
    def publish(self, events: List[DomainEvent]) -> None:
        for event in events:
            print(f"[EVENT] {event.event_type}: {event.aggregate_id}")

class ConsoleNotification(NotificationPort):
    def send_order_confirmation(self, customer_id: str, order_id: str, total: float) -> None:
        print(f"[NOTIFY] Customer {customer_id}: Order {order_id} confirmed, total: ${total:.2f}")

# ===================== WIRED APPLICATION =====================

repo = InMemoryOrderRepository()
publisher = ConsoleEventPublisher()
notifier = ConsoleNotification()
use_case = ConfirmOrderUseCase(repo, publisher, notifier)

order = Order(OrderId("ORD-001"), "CUST-42")
order.add_item(LineItem("PROD-A", 2, Money(29.99, "USD")))
order.add_item(LineItem("PROD-B", 1, Money(49.99, "USD")))
repo.save(order)

result = use_case.execute("ORD-001")
print(f"Result: {result}")
}


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a resilient microservices architecture supporting independent service deployment,
    cross-service communication, fault isolation, distributed transaction coordination via saga,
    and full observability through distributed tracing.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: No service may directly reference another service's internal data store.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: All inter-service communication must traverse the API gateway.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each service must be independently deployable and scalable.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Latency for synchronous calls must remain below 200ms p99.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Saga transactions must complete within 30 seconds or compensate.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Service discovery failure leaves orphaned instances


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Fallback to static registry with heartbeat-based health checks and manual override


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Circuit breaker cascade causes system-wide outage


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Bulkhead isolation per service with independent breaker pools and graceful degradation


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Saga participant crash mid-transaction leaves partial state


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Saga orchestrator retries with exponential backoff; compensating transactions for unrecoverable failures


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: API gateway becomes single point of failure


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Deploy gateway replicas across availability zones with leader election and failover routing


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Distributed trace context lost across async boundaries


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Inject trace context into message headers; background reconciler repairs broken traces


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Network partition causes split-brain service registry


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Quorum-based registration with majority-wins consensus and stale-entry eviction


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Infrastructure
    SubLayer: ServiceDiscovery
    SubLayer: APIGateway
    SubLayer: MessageBus


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Services
    SubLayer: OrderService
    SubLayer: PaymentService
    SubLayer: InventoryService
    SubLayer: NotificationService


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Observability
    SubLayer: DistributedTracing
    SubLayer: MetricsAggregator
    SubLayer: LogCollector


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Service registry heartbeat must arrive every 5 seconds


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: API gateway route table must match deployed service count


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Circuit breaker open duration must not exceed 60 seconds


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Saga transaction must have a defined compensating action for every step


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Distributed trace spans must propagate correlation IDs across all hops


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Service health endpoint must respond within 500ms


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Predict circuit breaker trips before they occur based on latency and error rate trends
    Adapt: Circuit breaker thresholds
    Based: Historical failure pattern analysis across sliding 1-hour window


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Minimize retry storm risk while maximizing recovery speed
    Adapt: Retry backoff multiplier and max retry count
    Based: Downstream service recovery time distributions and error categorization


Instruction: Write the AICL entity section for a patterns system

Response:
Entity ServiceInstance
    serviceId: string
    host: string
    port: integer
    healthStatus: string
    metadata: dict
    registeredAt: datetime
    lastHeartbeat: datetime
    version: string
    weight: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity ApiRoute
    routeId: string
    pathPattern: string
    targetService: string
    methods: list
    rateLimit: integer
    authRequired: boolean
    timeout: integer
    retryPolicy: dict


Instruction: Write the AICL entity section for a patterns system

Response:
Entity CircuitBreaker
    breakerId: string
    serviceName: string
    state: string
    failureCount: integer
    successCount: integer
    lastFailureAt: datetime
    openDuration: integer
    halfOpenMaxCalls: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity SagaInstance
    sagaId: string
    sagaType: string
    currentState: string
    steps: list
    completedSteps: list
    compensateSteps: list
    startedAt: datetime
    timeoutAt: datetime
    participantServices: list


Instruction: Write the AICL entity section for a patterns system

Response:
Entity TraceSpan
    traceId: string
    spanId: string
    parentSpanId: string
    serviceName: string
    operationName: string
    startTime: datetime
    endTime: datetime
    tags: dict
    status: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity ServiceMetric
    metricId: string
    serviceName: string
    metricName: string
    value: float
    timestamp: datetime
    unit: string
    tags: dict
    percentile: float


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior RegisterService
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior RouteRequest
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ExecuteSaga
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior HandleCircuitBreaker
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior DiscoverService
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior CollectTrace
    Input:


Instruction: Write the AICL concurrency section for a patterns system

Response:
Parallel:
    Service health monitoring across all registered instances
    Metrics aggregation from all services into centralized time-series store
    Log streaming from all service containers to log collector
    Circuit breaker state evaluation for all downstream connections
    Trace span ingestion and parent-child linking across services


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Inter-service call latency


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Gateway routing efficiency


Instruction: Write the AICL security section for a patterns system

Response:
Security:
    Encrypt: All inter-service communication via mutual TLS with certificate rotation every 24 hours
    Encrypt: Saga state payload containing PII using AES-256-GCM envelope encryption
    Protect: API gateway against SQL injection, XSS, and request smuggling via WAF rules
    Protect: Service registry from unauthorized writes with RBAC and signed registrations
    Protect: Trace data from leaking sensitive headers by applying redaction rules


Instruction: Write the AICL native section for a patterns system

Response:
Native: Python
{
import asyncio
from dataclasses import dataclass, field
from typing import Optional, Dict, List
from enum import Enum
import time

class BreakerState(Enum):
    CLOSED = "closed"
    OPEN = "open"
    HALF_OPEN = "half_open"

@dataclass
class CircuitBreakerConfig:
    failure_threshold: int = 5
    success_threshold: int = 3
    open_duration_seconds: int = 30
    half_open_max_calls: int = 2

class CircuitBreaker:
    def __init__(self, service_name: str, config: CircuitBreakerConfig = None):
        self.service_name = service_name
        self.config = config or CircuitBreakerConfig()
        self.state = BreakerState.CLOSED
        self.failure_count = 0
        self.success_count = 0
        self.last_failure_time: Optional[float] = None
        self.half_open_calls = 0

    def record_success(self):
        if self.state == BreakerState.HALF_OPEN:
            self.success_count += 1
            if self.success_count >= self.config.success_threshold:
                self.state = BreakerState.CLOSED
                self.failure_count = 0
                self.success_count = 0
        elif self.state == BreakerState.CLOSED:
            self.failure_count = max(0, self.failure_count - 1)

    def record_failure(self):
        self.failure_count += 1
        self.last_failure_time = time.time()
        if self.state == BreakerState.HALF_OPEN:
            self.state = BreakerState.OPEN
            self.success_count = 0
        elif self.state == BreakerState.CLOSED:
            if self.failure_count >= self.config.failure_threshold:
                self.state = BreakerState.OPEN

    def can_execute(self) -> bool:
        if self.state == BreakerState.CLOSED:
            return True
        if self.state == BreakerState.OPEN:
            if self.last_failure_time and \
               (time.time() - self.last_failure_time) >= self.config.open_duration_seconds:
                self.state = BreakerState.HALF_OPEN
                self.success_count = 0
                self.half_open_calls = 0
                return True
            return False
        if self.state == BreakerState.HALF_OPEN:
            return self.half_open_calls < self.config.half_open_max_calls
        return False

class SagaOrchestrator:
    def __init__(self):
        self.sagas: Dict[str, dict] = {}


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a CQRS + Event Sourcing system that separates write and read paths,
    persists all state changes as immutable events, projects events into optimized read models,
    and supports temporal queries with snapshot-based recovery.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Commands must never return domain data; only acknowledgment of acceptance or rejection.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Events in the store are immutable and append-only; no deletion or mutation permitted.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Read models must be eventually consistent with a maximum lag of 500ms.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each aggregate root must have a deterministic event replay mechanism.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Snapshots must be taken at configurable intervals and validated against full replay.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Event store corruption causes total data loss


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Replicate event store across 3 nodes with write quorum of 2; restore from replica and replay


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Projection lag exceeds SLO causing stale reads


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Detect lag via watermark comparison; trigger catch-up projection from last checkpoint


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Snapshot divergence from event replay


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Rebuild snapshot from full event stream and alert on mismatch count exceeding threshold


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Command bus overload during traffic spikes


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Apply backpressure with command queue depth limits; spill overflow to durable dead-letter queue


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Read model schema migration fails during deployment


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Deploy new projection version alongside old; switch readers atomically after verification


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Event version incompatibility across service boundaries


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Apply upcasting transformers in event deserialization pipeline with schema registry


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: WriteSide
    SubLayer: CommandBus
    SubLayer: CommandHandler
    SubLayer: AggregateRoot
    SubLayer: EventStore


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: ReadSide
    SubLayer: EventBus
    SubLayer: Projector
    SubLayer: ReadModel
    SubLayer: QueryBus


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Infrastructure
    SubLayer: SnapshotStore
    SubLayer: SchemaRegistry
    SubLayer: EventUpcaster


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Every command must have a corresponding command handler registered


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Event sequence number must be monotonically increasing per aggregate


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Snapshot aggregate version must match event stream version at snapshot point


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Projection checkpoint must never move backward


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Query bus must reject queries targeting non-existent read models


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Command authorization must be verified before handler dispatch


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Determine optimal snapshot interval per aggregate type to minimize replay cost
    Adapt: Snapshot threshold per aggregate type
    Based: Aggregate event count distribution and average replay duration metrics


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Maximize projection throughput without causing read model store contention
    Adapt: Projection batch size per projection type
    Based: Projection processing latency and read model write queue depth


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Command
    commandId: string
    commandType: string
    aggregateId: string
    payload: dict
    metadata: dict
    issuedAt: datetime
    issuedBy: string
    expectedVersion: integer
    correlationId: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity DomainEvent
    eventId: string
    eventType: string
    aggregateId: string
    aggregateType: string
    sequenceNumber: integer
    payload: dict
    metadata: dict
    occurredAt: datetime
    causationId: string
    correlationId: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity AggregateRoot
    aggregateId: string
    aggregateType: string
    version: integer
    uncommittedEvents: list
    state: dict
    createdAt: datetime
    modifiedAt: datetime
    snapshotThreshold: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Projection
    projectionId: string
    projectionName: string
    readModelType: string
    checkpoint: integer
    state: string
    lastProcessedEventId: string
    lastProcessedAt: datetime
    errorCount: integer
    batchSize: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Snapshot
    snapshotId: string
    aggregateId: string
    aggregateType: string
    version: integer
    state: dict
    createdAt: datetime
    compressionType: string
    sizeBytes: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity ReadModel
    modelId: string
    modelType: string
    aggregateId: string
    data: dict
    version: integer
    updatedAt: datetime
    queryIndex: dict
    tags: set


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior DispatchCommand
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior PersistEvent
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior HandleQuery
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior RebuildProjection
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior TakeSnapshot
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior UpcastEvent
    Input:


Instruction: Write the AICL concurrency section for a patterns system

Response:
Parallel:
    Event persistence to store and replication to followers
    Event publication to multiple projectors concurrently
    Snapshot creation for eligible aggregates in background
    Read model queries served independently from write path
    Event upcasting applied in parallel per event during replay


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Event store append throughput


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Projection catch-up speed


Instruction: Write the AICL security section for a patterns system

Response:
Security:
    Encrypt: Event payload containing PII using field-level encryption with key rotation every 12 hours
    Encrypt: Snapshot state using AES-256 with per-aggregate derived keys
    Protect: Command bus from unauthorized submissions via JWT validation and role-based ACL
    Protect: Event store from tampering via cryptographic chaining (hash chain of event hashes)
    Protect: Read models from data leakage by applying column-level access control on queries


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a production MVC web application framework supporting clean separation of concerns,
    declarative routing with parameter extraction, middleware pipeline for cross-cutting logic,
    secure session management, and view template rendering with layout inheritance.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Controllers must not contain business logic; delegate to service layer.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Views must not execute arbitrary code; only template expressions permitted.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: All user input must be validated before reaching controller logic.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Session data must be stored server-side; client holds only a signed session ID.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each route must declare its HTTP method, path pattern, and required middleware.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Session hijacking via stolen session cookie


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Regenerate session ID on privilege elevation; bind session to IP and user-agent fingerprint


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: CSRF token bypass on state-changing requests


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Double-submit cookie pattern with SameSite=Strict attribute and token rotation per request


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Template injection through unsanitized user input


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Auto-escape all template expressions by default; explicit unescape requires safe annotation


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Route collision causing request misrouting


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Detect route conflicts at startup; first-registered wins with warning for duplicates


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Middleware ordering causes authentication bypass


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Enforce middleware dependency graph; validate ordering at route registration time


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Memory leak from unbounded session store


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Set session TTL of 30 minutes; background sweeper evicts expired sessions every 60 seconds


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Presentation
    SubLayer: Router
    SubLayer: Controller
    SubLayer: ViewRenderer
    SubLayer: Middleware


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Application
    SubLayer: SessionManager
    SubLayer: AuthService
    SubLayer: ValidationService
    SubLayer: FlashMessenger


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Data
    SubLayer: Model
    SubLayer: Repository
    SubLayer: DatabasePool


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Route path parameters must match declared regex patterns


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Request body must conform to content-type schema before controller dispatch


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Session ID must be cryptographically signed and unexpired


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: CSRF token must match server-side stored token for the session


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Response content-type must match route declaration


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Middleware pipeline must not skip authentication for protected routes


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Identify high-traffic routes for pre-warming and connection pool sizing
    Adapt: Per-route connection pool allocation
    Based: Request frequency distribution and latency percentiles over sliding 15-minute window


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Predict session store memory requirements based on traffic patterns
    Adapt: Session TTL and eviction aggressiveness
    Based: Concurrent session count trends and average session data size


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Route
    routeId: string
    httpMethod: string
    pathPattern: string
    controllerName: string
    actionName: string
    middlewareStack: list
    requiredRoles: list
    parameterConstraints: dict
    cacheTtl: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Controller
    controllerName: string
    actions: dict
    beforeFilters: list
    afterFilters: list
    layout: string
    rescues: dict
    namespace: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity ViewTemplate
    templateId: string
    templateName: string
    layout: string
    partials: list
    helpers: list
    lastModified: datetime
    compiledAt: datetime
    cacheEnabled: boolean
    mimeType: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Session
    sessionId: string
    userId: string
    data: dict
    createdAt: datetime
    lastAccessedAt: datetime
    expiresAt: datetime
    ipAddress: string
    userAgent: string
    csrfToken: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity HttpRequest
    requestId: string
    method: string
    path: string
    headers: dict
    queryParams: dict
    bodyParams: dict
    routeParams: dict
    session: Session
    contentType: string
    ipAddress: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Middleware
    middlewareId: string
    middlewareName: string
    priority: integer
    dependencies: list
    config: dict
    enabled: boolean
    scope: string


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior DispatchRequest
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ManageSession
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ValidateInput
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior AuthenticateRequest
    Input:


Instruction: Write the AICL concurrency section for a patterns system

Response:
Parallel:
    Request handling across multiple worker processes
    Session store read/write operations with optimistic locking
    Template compilation for modified views in background
    Middleware execution for independent concerns (logging, metrics, CORS)
    Static asset serving on separate thread pool from dynamic requests


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Request processing latency


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: View rendering throughput


Instruction: Write the AICL security section for a patterns system

Response:
Security:
    Encrypt: Session cookie using HMAC-SHA256 with rotating secret key
    Encrypt: Sensitive session data fields with AES-256-GCM server-side encryption
    Protect: All forms against CSRF with per-request token validation and SameSite cookies
    Protect: Application against XSS with Content-Security-Policy headers and auto-escaping
    Protect: Upload endpoints against file inclusion with mime-type validation and sandboxed storage


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a high-throughput event bus implementing the Observer pattern with topic-based routing,
    strict per-topic message ordering, backpressure to protect slow subscribers,
    dead letter queues for poison messages, and replay support for missed events.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Publishers must be decoupled from subscribers; no direct references allowed.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each topic maintains FIFO ordering within a partition key.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Subscribers must acknowledge messages within a configurable timeout.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Backpressure must be applied before memory pressure reaches critical threshold.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Dead letter messages must never be silently dropped; always persisted for inspection.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Slow subscriber causes unbounded buffer growth


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Apply per-subscriber backpressure with configurable max buffer; overflow goes to DLQ


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Message ordering violation under concurrent publishing


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Partition by routing key; single-writer per partition with sequencer


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Dead letter queue grows unbounded without reprocessing


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Scheduled DLQ reprocessor with exponential backoff; alert at queue depth threshold


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Subscriber crash loses in-flight messages


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Redeliver unacknowledged messages after visibility timeout with at-least-once guarantee


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Topic routing misconfiguration routes messages to wrong subscribers


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Validate topic subscription patterns at registration; audit log all routing decisions


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Replay floods subscribers with historical volume


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Throttle replay delivery rate; subscribers opt-in to replay with max throughput setting


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Core
    SubLayer: Publisher
    SubLayer: TopicRouter
    SubLayer: PartitionManager


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Subscription
    SubLayer: SubscriberRegistry
    SubLayer: SubscriptionManager
    SubLayer: AcknowledgmentTracker


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Reliability
    SubLayer: BackpressureController
    SubLayer: DeadLetterQueue
    SubLayer: ReplayEngine


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Topic name must match [a-zA-Z][a-zA-Z0-9_.-] pattern


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Subscriber callback must complete within acknowledgment timeout


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Partition key must be present for ordered topics


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Replay request must specify valid time range and subscriber ID


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Backpressure threshold must be positive and less than system memory limit


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Dead letter message must preserve original headers and failure reason


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Predict optimal max-in-flight setting per subscriber to maximize throughput without overflow
    Adapt: Per-subscriber maxInFlight and buffer size
    Based: Subscriber acknowledgment rate and latency distribution over sliding window


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Categorize dead-lettered messages by failure type to identify systemic issues
    Adapt: Alerting rules and auto-retry thresholds per failure category
    Based: Historical DLQ entry failure reason distribution and retry success rates


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Topic
    topicId: string
    topicName: string
    partitionCount: integer
    retentionHours: integer
    isOrdered: boolean
    createdAt: datetime
    messageCount: integer
    byteRate: float
    schema: dict


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Subscription
    subscriptionId: string
    subscriberName: string
    topicPattern: string
    callback: string
    filterExpression: string
    maxInFlight: integer
    ackTimeout: integer
    retryPolicy: dict
    createdAt: datetime


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Message
    messageId: string
    topic: string
    partitionKey: string
    sequenceNumber: integer
    payload: dict
    headers: dict
    publishedAt: datetime
    expiresAt: datetime
    traceId: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity DeadLetterEntry
    entryId: string
    originalMessage: Message
    subscriberName: string
    failureReason: string
    failureCount: integer
    firstFailedAt: datetime
    lastFailedAt: datetime
    nextRetryAt: datetime
    deadLetteredAt: datetime


Instruction: Write the AICL entity section for a patterns system

Response:
Entity BackpressureState
    subscriberId: string
    currentBufferSize: integer
    maxBufferSize: integer
    pressureLevel: string
    throttleRate: float
    droppedCount: integer
    lastAdjustedAt: datetime


Instruction: Write the AICL entity section for a patterns system

Response:
Entity SubscriberMetrics
    subscriberId: string
    messagesProcessed: integer
    messagesFailed: integer
    averageLatency: float
    p99Latency: float
    lastMessageAt: datetime
    activeSubscriptions: integer
    dlqDepth: integer


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior PublishMessage
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior AcknowledgeMessage
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior RouteToSubscriber
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ProcessDeadLetter
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ReplayMessages
    Input:


Instruction: Write the AICL concurrency section for a patterns system

Response:
Parallel:
    Message publishing to multiple partitions concurrently
    Message delivery to independent subscribers in parallel
    Dead letter queue reprocessing on separate worker pool
    Backpressure monitoring and adjustment across all subscribers
    Metrics aggregation from all subscriber delivery threads


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Message delivery throughput


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Topic routing latency


Instruction: Write the AICL security section for a patterns system

Response:
Security:
    Encrypt: Message payload in transit via TLS 1.3 with pinned certificates between bus and subscribers
    Encrypt: DLQ entries at rest using AES-256 with per-topic encryption keys
    Protect: Topic publication with IAM-style authorization and topic-level ACL
    Protect: Subscription callbacks from message injection via HMAC message signing
    Protect: Replay endpoints from unauthorized access with admin role requirement and audit logging


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a repository pattern data access layer that abstracts persistence details,
    supports specification-based composable queries, manages transactions via unit of work,
    provides multi-level caching, and ensures data consistency across operations.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Domain layer must never reference infrastructure persistence directly.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: All queries must be expressed as specification objects, not raw query strings.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each unit of work scope must correspond to exactly one transaction.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Cache invalidation must occur within the same transaction as the write.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Repository interfaces must be defined in the domain layer; implementations in infrastructure.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Cache returns stale data after write


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Invalidate cache entries within write transaction; use write-through for critical entities


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Unit of work rollback leaves cache in inconsistent state


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Enroll cache in transaction participation; rollback cache operations on transaction abort


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Specification composition creates N+1 query problem


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Detect eager-load annotations; auto-join related entities via specification visitor


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Connection pool exhaustion under high concurrency


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Queue requests with timeout; scale pool dynamically based on wait-time metrics


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Optimistic concurrency conflict on high-contention entities


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Retry with exponential backoff up to 3 times; escalate to pessimistic lock if threshold exceeded


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Repository abstraction leaks persistence details through error types


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Translate all infrastructure exceptions to domain-specific error types at repository boundary


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Domain
    SubLayer: RepositoryInterface
    SubLayer: Specification
    SubLayer: AggregateRoot


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Application
    SubLayer: UnitOfWork
    SubLayer: TransactionManager
    SubLayer: SpecificationComposer


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Infrastructure
    SubLayer: RepositoryImplementation
    SubLayer: CacheLayer
    SubLayer: ConnectionPool


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Repository method must accept and return domain types only


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Specification must be serializable for cache key generation


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Unit of work must not span multiple database connections


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Cache TTL must be less than or equal to source data freshness requirement


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Connection pool size must match concurrent transaction limit


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: All repository write operations must participate in active unit of work


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Maximize cache hit ratio while minimizing staleness for each aggregate type
    Adapt: Per-entity-type cache TTL values
    Based: Cache hit ratio, access frequency, and data mutation rate over sliding 1-hour window


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Identify slow specifications and suggest index improvements
    Adapt: Database index recommendations and specification rewrite hints
    Based: Query execution time distribution and full table scan detection


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Repository
    repositoryId: string
    aggregateType: string
    connectionString: string
    cacheEnabled: boolean
    cacheTtl: integer
    batchSize: integer
    readOnly: boolean
    maxRetryCount: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity Specification
    specificationId: string
    criteria: dict
    orderBy: list
    pageNumber: integer
    pageSize: integer
    includes: list
    cacheable: boolean
    cacheKey: string


Instruction: Write the AICL entity section for a patterns system

Response:
Entity UnitOfWork
    unitOfWorkId: string
    transactionId: string
    state: string
    operations: list
    enrolledRepositories: list
    startedAt: datetime
    isolationLevel: string
    timeout: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity CacheEntry
    cacheKey: string
    value: any
    createdAt: datetime
    expiresAt: datetime
    region: string
    sizeBytes: integer
    hitCount: integer
    version: integer


Instruction: Write the AICL entity section for a patterns system

Response:
Entity AggregateRoot
    aggregateId: string
    aggregateType: string
    version: integer
    createdAt: datetime
    modifiedAt: datetime
    createdBy: string
    modifiedBy: string
    isDirty: boolean


Instruction: Write the AICL entity section for a patterns system

Response:
Entity QueryResult
    queryId: string
    items: list
    totalCount: integer
    pageNumber: integer
    pageSize: integer
    hasMore: boolean
    executionTime: integer
    cacheHit: boolean


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior FindBySpecification
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior AddAggregate
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior UpdateAggregate
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior CommitUnitOfWork
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior ComposeSpecification
    Input:


Instruction: Write the AICL behavior section for a patterns system

Response:
Behavior InvalidateCache
    Input:


Instruction: Write the AICL concurrency section for a patterns system

Response:
Parallel:
    L1 and L2 cache lookups executed concurrently
    Multiple repository read operations within same unit of work
    Cache invalidation propagation to distributed nodes
    Connection pool health monitoring and scaling
    Specification compilation and cache key generation


Instruction: Write the AICL optimization section for a patterns system

Response: Optimize: Query execution performance


Instruction: Write the AICL security section for a patterns system

Response:
Security:
    Encrypt: Database connection strings using vault-managed secrets with automatic rotation
    Encrypt: Cached PII fields using envelope encryption before storage in distributed cache
    Protect: Repository against SQL injection via parameterized query compilation from specifications
    Protect: Cache data from unauthorized access with per-region ACL and tenant isolation
    Protect: Unit of work operations from tampering via audit trail of all change set modifications


Instruction: Write the AICL architecture section for a patterns system

Response:
Goal: Build a strategy pattern engine that enables runtime algorithm selection and switching,
    supports automated benchmarking for strategy comparison, allows strategy composition
    for complex operations, and provides graceful fallback when strategies fail.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Each strategy must implement a common interface with identical input and output contracts.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Strategy selection must be deterministic given the same context and input.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Benchmarking must not affect production strategy execution latency.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Strategy switching must be atomic with no in-flight operations using the old strategy.


Instruction: Write the AICL architecture section for a patterns system

Response: Constraint: Composite strategies must maintain the execution order declared in composition.


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Strategy switch during active execution causes inconsistent results


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Complete in-flight operations with old strategy; apply new strategy to subsequent requests only


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Benchmark sample too small produces unreliable comparison


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Require minimum sample size of 1000 executions; extend benchmark until confidence interval narrows


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Composite strategy partial failure leaves partial output


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Apply compensating actions for completed steps; fall back to simpler non-composite strategy


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Memory leak from accumulated benchmark data


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Sliding window of 1 hour for benchmark samples; compress older data into summary statistics


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Strategy selection oscillates between equivalent strategies causing instability


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Hysteresis threshold requiring 10% improvement over incumbent before switching


Instruction: Write the AICL architecture section for a patterns system

Response: Risk: Custom strategy injection compromises system integrity


Instruction: Write the AICL architecture section for a patterns system

Response: Recovery: Sandbox custom strategies with resource limits; validate against strategy contract at registration


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Core
    SubLayer: StrategyRegistry
    SubLayer: StrategySelector
    SubLayer: StrategyExecutor


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Benchmarking
    SubLayer: BenchmarkRunner
    SubLayer: PerformanceCollector
    SubLayer: ComparisonEngine


Instruction: Write the AICL architecture section for a patterns system

Response:
Layer: Composition
    SubLayer: CompositeStrategy
    SubLayer: FallbackChain
    SubLayer: StrategyMerger


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Strategy must implement required execute method signature


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Benchmark results must include confidence interval and sample size


Instruction: Write the AICL architecture section for a patterns system

Response: Validation: Strategy context must contain all fields required by candidate strategies