Enterprise-grade capabilities for large-scale AI code assistance
Aurelis provides comprehensive enterprise features designed for large organizations requiring advanced security, compliance, monitoring, and management capabilities across development teams.
enterprise:
tenant_isolation: true
organization_id: "kanopusdev-id"
department_isolation: true
security:
compliance_framework: "SOC2" # SOC2, HIPAA, GDPR, SOX
data_residency: "US"
encryption_at_rest: true
encryption_in_transit: true
audit:
comprehensive_logging: true
compliance_reporting: true
data_lineage_tracking: true
access_control_audit: true
rbac:
enabled: true
roles:
admin:
permissions:
- "config:write"
- "users:manage"
- "audit:read"
- "billing:read"
team_lead:
permissions:
- "config:read"
- "team:manage"
- "usage:read"
developer:
permissions:
- "models:use"
- "code:analyze"
- "code:generate"
user_groups:
engineering:
roles: ["developer", "team_lead"]
cost_center: "ENG-001"
architects:
roles: ["team_lead", "admin"]
cost_center: "ENG-002"
# Enterprise cost tracking
from aurelis.enterprise import CostTracker, BudgetManager
class EnterpriseCostManager:
def __init__(self):
self.cost_tracker = CostTracker()
self.budget_manager = BudgetManager()
def track_usage(self, user_id: str, team_id: str,
model: str, tokens: int):
"""Track usage with detailed attribution."""
cost_data = {
"user_id": user_id,
"team_id": team_id,
"department": self.get_department(user_id),
"cost_center": self.get_cost_center(team_id),
"model": model,
"tokens_used": tokens,
"estimated_cost": self.calculate_cost(model, tokens),
"project": self.get_current_project(user_id),
"timestamp": datetime.utcnow()
}
self.cost_tracker.record(cost_data)
self.check_budget_thresholds(cost_data)
def generate_cost_report(self, period: str,
breakdown: str = "department"):
"""Generate detailed cost reports."""
return self.cost_tracker.generate_report(
period=period,
breakdown_by=breakdown,
include_projections=True,
include_optimization_suggestions=True
)
budget_management:
enabled: true
department_budgets:
engineering:
monthly_limit: 10000
warning_threshold: 0.8
hard_limit: true
data_science:
monthly_limit: 15000
warning_threshold: 0.75
hard_limit: false
user_limits:
default_monthly: 500
manager_monthly: 2000
admin_monthly: 5000
alerts:
email_notifications: true
slack_integration: true
dashboard_alerts: true
enforcement:
soft_limits: true
grace_period_hours: 24
auto_throttling: true
# Enterprise analytics
from aurelis.enterprise.analytics import AnalyticsDashboard
class EnterpriseAnalytics:
def __init__(self):
self.dashboard = AnalyticsDashboard()
def get_usage_metrics(self, timeframe: str = "30d"):
"""Get comprehensive usage metrics."""
return {
"total_requests": self.get_request_count(timeframe),
"unique_users": self.get_active_users(timeframe),
"model_distribution": self.get_model_usage_breakdown(timeframe),
"peak_usage_hours": self.analyze_usage_patterns(timeframe),
"cost_efficiency": self.calculate_cost_efficiency(timeframe),
"team_productivity": self.measure_productivity_impact(timeframe),
"error_rates": self.analyze_error_patterns(timeframe),
"satisfaction_score": self.get_user_satisfaction(timeframe)
}
def generate_executive_report(self):
"""Generate executive summary report."""
return {
"roi_analysis": self.calculate_roi(),
"productivity_gains": self.measure_productivity_gains(),
"cost_savings": self.calculate_cost_savings(),
"adoption_metrics": self.get_adoption_metrics(),
"security_compliance": self.get_compliance_status(),
"recommendations": self.generate_recommendations()
}
analytics:
team_insights: true
productivity_metrics: true
code_quality_tracking: true
metrics:
code_generation_speed:
enabled: true
baseline_measurement: true
improvement_tracking: true
code_quality_scores:
enabled: true
automated_analysis: true
trend_analysis: true
developer_satisfaction:
enabled: true
survey_integration: true
feedback_collection: true
adoption_rates:
feature_usage: true
user_engagement: true
workflow_integration: true
# SSO/SAML integration
from aurelis.enterprise.auth import EnterpriseAuthManager
class EnterpriseAuth:
def __init__(self):
self.auth_manager = EnterpriseAuthManager()
def configure_sso(self, provider: str, config: dict):
"""Configure enterprise SSO."""
if provider == "okta":
return self.configure_okta(config)
elif provider == "azure_ad":
return self.configure_azure_ad(config)
elif provider == "saml":
return self.configure_saml(config)
def validate_enterprise_user(self, token: str):
"""Validate user against enterprise directory."""
user_info = self.auth_manager.validate_token(token)
return {
"user_id": user_info["sub"],
"email": user_info["email"],
"department": user_info.get("department"),
"role": user_info.get("role"),
"team": user_info.get("team"),
"cost_center": user_info.get("cost_center"),
"permissions": self.get_user_permissions(user_info)
}
# Workflow engine integration
from aurelius.enterprise.workflows import WorkflowEngine
class EnterpriseWorkflows:
def __init__(self):
self.workflow_engine = WorkflowEngine()
def setup_code_review_workflow(self):
"""Automated code review workflow."""
workflow = {
"name": "enterprise_code_review",
"triggers": ["pr_created", "commit_pushed"],
"steps": [
{
"name": "security_scan",
"action": "analyze_security",
"model": "gpt-4o",
"blocking": True
},
{
"name": "quality_check",
"action": "analyze_quality",
"model": "codestral-2501",
"blocking": False
},
{
"name": "documentation_check",
"action": "verify_documentation",
"model": "cohere-command-r",
"blocking": False
},
{
"name": "generate_summary",
"action": "create_pr_summary",
"model": "gpt-4o-mini",
"blocking": False
}
],
"notifications": {
"slack": True,
"email": True,
"teams": True
}
}
return self.workflow_engine.register(workflow)
# Enterprise deployment configuration
environments:
development:
github_token: "${DEV_GITHUB_TOKEN}"
models:
primary: "gpt-4o-mini"
fallback: "codestral-2501"
cost_limits:
daily: 100
monthly: 1000
staging:
github_token: "${STAGING_GITHUB_TOKEN}"
models:
primary: "gpt-4o"
fallback: "gpt-4o-mini"
cost_limits:
daily: 500
monthly: 5000
production:
github_token: "${PROD_GITHUB_TOKEN}"
models:
primary: "codestral-2501"
fallback: "gpt-4o"
cost_limits:
daily: 2000
monthly: 50000
high_availability:
enabled: true
replicas: 5
auto_scaling: true
load_balancing: true
health_checks: true
disaster_recovery:
enabled: true
backup_frequency: "4h"
cross_region_replication: true
rto_minutes: 15
rpo_minutes: 5
# Enterprise monitoring
from aurelius.enterprise.monitoring import EnterpriseMonitor
class EnterpriseMonitoring:
def __init__(self):
self.monitor = EnterpriseMonitor()
def setup_alerting(self):
"""Configure enterprise alerting rules."""
alert_rules = [
{
"name": "high_error_rate",
"condition": "error_rate > 5%",
"duration": "5m",
"severity": "critical",
"actions": ["page_oncall", "slack_channel", "email_team"]
},
{
"name": "budget_threshold_exceeded",
"condition": "monthly_spend > budget * 0.8",
"duration": "1m",
"severity": "warning",
"actions": ["email_managers", "slack_finance"]
},
{
"name": "unusual_usage_pattern",
"condition": "requests_per_minute > baseline * 3",
"duration": "10m",
"severity": "warning",
"actions": ["investigate_automated", "notify_security"]
},
{
"name": "compliance_violation",
"condition": "data_retention > policy_limit",
"duration": "1m",
"severity": "critical",
"actions": ["auto_remediate", "notify_compliance"]
}
]
for rule in alert_rules:
self.monitor.add_alert_rule(rule)
# enterprise.aurelis.yaml
# Complete enterprise configuration template
organization:
name: "Enterprise Corp"
id: "enterprise-corp-001"
tenant_id: "tenant-001"
environment: "production"
# GitHub Models Configuration
github_token: "${GITHUB_ENTERPRISE_TOKEN}"
models:
# Production model routing
routing_strategy: "intelligent"
primary: "codestral-2501"
fallback: "gpt-4o-mini"
# Task-specific routing
preferences:
code_generation: "codestral-2501"
code_review: "gpt-4o"
documentation: "cohere-command-r"
security_analysis: "gpt-4o"
performance_optimization: "gpt-4o"
# Advanced settings
temperature: 0.1
max_tokens: 4000
timeout: 120
# Enterprise Security
security:
# Compliance framework
compliance_framework: "SOC2"
data_residency: "US"
# Encryption
encryption_at_rest: true
encryption_in_transit: true
key_rotation_days: 90
# Access control
rbac_enabled: true
mfa_required: true
session_timeout: 3600
# Audit and monitoring
audit_logging: true
security_monitoring: true
threat_detection: true
# Data protection
pii_detection: true
data_classification: true
retention_policies: true
# Role-Based Access Control
rbac:
enabled: true
roles:
enterprise_admin:
permissions:
- "admin:full"
- "config:write"
- "users:manage"
- "billing:manage"
- "audit:read"
- "security:manage"
department_manager:
permissions:
- "team:manage"
- "config:read"
- "usage:read"
- "reports:generate"
- "budget:view"
team_lead:
permissions:
- "team:view"
- "models:configure"
- "usage:view"
- "reports:view"
senior_developer:
permissions:
- "models:use"
- "advanced:features"
- "code:all"
- "analysis:advanced"
developer:
permissions:
- "models:use"
- "code:generate"
- "code:analyze"
- "docs:generate"
# Cost Management
cost_management:
enabled: true
# Budgets
budgets:
organization:
monthly_limit: 100000
quarterly_limit: 280000
annual_limit: 1000000
departments:
engineering:
monthly_limit: 40000
warning_threshold: 0.8
data_science:
monthly_limit: 30000
warning_threshold: 0.75
qa:
monthly_limit: 10000
warning_threshold: 0.9
# User limits
user_limits:
default_monthly: 1000
senior_monthly: 3000
lead_monthly: 5000
manager_unlimited: true
# Alerts and enforcement
alerts:
email_enabled: true
slack_enabled: true
teams_enabled: true
enforcement:
soft_limits: true
hard_limits: true
grace_period: 24 # hours
auto_throttling: true
# Analytics and Insights
analytics:
enabled: true
# Data collection
usage_tracking: true
performance_monitoring: true
user_behavior_analysis: true
code_quality_metrics: true
# Reporting
executive_reports: true
team_insights: true
productivity_metrics: true
roi_analysis: true
# Data retention
raw_data_retention_days: 90
aggregated_data_retention_days: 730
# Export capabilities
data_export: true
api_access: true
dashboard_embedding: true
# Integration Configuration
integrations:
# Identity providers
sso:
enabled: true
provider: "okta" # okta, azure_ad, saml
auto_provisioning: true
group_sync: true
# Development tools
ide_integration:
vscode_extension: true
jetbrains_plugin: true
vim_plugin: true
# CI/CD platforms
cicd:
github_actions: true
jenkins: true
azure_devops: true
gitlab_ci: true
# Communication platforms
notifications:
slack: true
microsoft_teams: true
email: true
webhooks: true
# Monitoring and observability
monitoring:
prometheus: true
grafana: true
datadog: true
newrelic: true
# Workflow automation
workflows:
enabled: true
custom_workflows: true
approval_processes: true
automated_reviews: true
# High Availability Configuration
high_availability:
enabled: true
# Clustering
cluster_mode: true
min_replicas: 3
max_replicas: 10
auto_scaling: true
# Load balancing
load_balancer: "nginx"
health_checks: true
circuit_breaker: true
# Data persistence
persistent_storage: true
backup_strategy: "automated"
backup_frequency: "4h"
backup_retention_days: 30
# Disaster recovery
disaster_recovery: true
cross_region_replication: true
rto_minutes: 15 # Recovery Time Objective
rpo_minutes: 5 # Recovery Point Objective
# Compliance and Governance
compliance:
# Frameworks
frameworks: ["SOC2", "ISO27001", "GDPR"]
# Data governance
data_classification: true
data_lineage: true
retention_policies: true
right_to_be_forgotten: true
# Audit and reporting
audit_trail: true
compliance_reporting: true
automated_compliance_checks: true
# Privacy controls
privacy_by_design: true
consent_management: true
data_minimization: true
# Advanced Features
advanced_features:
# Custom model fine-tuning
model_customization: true
organization_specific_models: true
# Advanced analytics
predictive_analytics: true
anomaly_detection: true
trend_analysis: true
# Workflow automation
custom_workflows: true
approval_workflows: true
automated_code_review: true
# API capabilities
rest_api: true
graphql_api: true
webhook_support: true
sdk_support: true
# Production deployment with full enterprise features
apiVersion: v1
kind: Namespace
metadata:
name: aurelis-enterprise
labels:
environment: production
tier: enterprise
---
# Enterprise ConfigMap with full configuration
apiVersion: v1
kind: ConfigMap
metadata:
name: aurelis-enterprise-config
namespace: aurelis-enterprise
data:
enterprise.yaml: |
# Full enterprise configuration
organization:
name: "Enterprise Corp"
tenant_id: "ent-001"
security:
compliance_framework: "SOC2"
encryption_at_rest: true
rbac_enabled: true
cost_management:
enabled: true
monthly_budget: 100000
analytics:
enabled: true
executive_reports: true
high_availability:
enabled: true
replicas: 5
# Enterprise metrics collection
from aurelis.enterprise.metrics import EnterpriseMetrics
class EnterpriseMetricsCollector:
def __init__(self):
self.metrics = EnterpriseMetrics()
def collect_business_metrics(self):
"""Collect enterprise business metrics."""
return {
# Financial metrics
"cost_per_request": self.calculate_cost_per_request(),
"roi_percentage": self.calculate_roi(),
"cost_savings": self.calculate_cost_savings(),
# Productivity metrics
"developer_productivity_increase": self.measure_productivity(),
"code_quality_improvement": self.measure_quality_improvement(),
"time_to_market_reduction": self.measure_ttm_reduction(),
# Adoption metrics
"user_adoption_rate": self.calculate_adoption_rate(),
"feature_utilization": self.measure_feature_usage(),
"user_satisfaction_score": self.get_satisfaction_score(),
# Operational metrics
"availability_percentage": self.calculate_availability(),
"response_time_p95": self.get_response_time_percentile(95),
"error_rate_percentage": self.calculate_error_rate(),
# Security metrics
"security_incidents": self.count_security_incidents(),
"compliance_score": self.calculate_compliance_score(),
"audit_pass_rate": self.calculate_audit_pass_rate()
}
# Enterprise onboarding automation
from aurelis.enterprise.onboarding import EnterpriseOnboarding
class OrganizationOnboarding:
def __init__(self):
self.onboarding = EnterpriseOnboarding()
def onboard_organization(self, org_config: dict):
"""Complete organization onboarding process."""
steps = [
self.setup_tenant_isolation,
self.configure_sso_integration,
self.setup_rbac_policies,
self.configure_cost_management,
self.setup_monitoring_alerts,
self.configure_compliance_controls,
self.deploy_production_environment,
self.setup_backup_procedures,
self.configure_security_policies,
self.setup_analytics_dashboard,
self.train_administrators,
self.validate_deployment
]
results = []
for step in steps:
try:
result = step(org_config)
results.append({"step": step.__name__, "status": "success", "result": result})
except Exception as e:
results.append({"step": step.__name__, "status": "error", "error": str(e)})
break
return {
"onboarding_status": "completed" if all(r["status"] == "success" for r in results) else "failed",
"steps_completed": len([r for r in results if r["status"] == "success"]),
"total_steps": len(steps),
"results": results
}
# Enterprise ROI calculation
from aurelis.enterprise.roi import ROICalculator
class EnterpriseROI:
def __init__(self):
self.calculator = ROICalculator()
def calculate_total_roi(self, timeframe: str = "annual"):
"""Calculate comprehensive ROI for enterprise deployment."""
# Cost savings
developer_time_savings = self.calculate_time_savings()
reduced_code_review_time = self.calculate_review_time_savings()
faster_development_cycles = self.calculate_cycle_time_reduction()
reduced_bug_rates = self.calculate_quality_improvement_savings()
# Direct costs
aurelis_subscription_cost = self.get_subscription_cost(timeframe)
infrastructure_costs = self.get_infrastructure_costs(timeframe)
training_costs = self.get_training_costs()
total_savings = (
developer_time_savings +
reduced_code_review_time +
faster_development_cycles +
reduced_bug_rates
)
total_costs = (
aurelis_subscription_cost +
infrastructure_costs +
training_costs
)
roi_percentage = ((total_savings - total_costs) / total_costs) * 100
return {
"roi_percentage": roi_percentage,
"total_savings": total_savings,
"total_costs": total_costs,
"net_benefit": total_savings - total_costs,
"payback_period_months": self.calculate_payback_period(),
"breakdown": {
"developer_productivity": developer_time_savings,
"code_review_efficiency": reduced_code_review_time,
"development_velocity": faster_development_cycles,
"quality_improvements": reduced_bug_rates
}
}
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