Fábio Coutada 7983d7ffc3 fix(kernel): resolve armv7 linker errors, fix exceptions vector base address, and remove untracked conflicting files

2026-07-12 16:40:24 +01:00

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Aurelio Integration Plan: PikeOS → Aurelio Implementation

Overview

This document maps the complete PikeOS 5.0 ecosystem to Aurelio cyber-physical brain implementation, establishing how PikeOS code generation workflows, safety-critical patterns, and architectural principles can be applied to agent-based orchestration and cyber-physical system control.

Strategic Context: This integration supports the Complete PikeOS 5.0 Parity Strategy through Path C (Aurelio Integration), providing agent-accelerated development (40-50% faster) across all PikeOS component categories within 15 months.

Mapping Overview

┌─────────────────────────────────────────────────────────┐
│                    PikeOS 5.0 Ecosystem                   │
│  ┌─────────────┐  ┌──────────────┐  ┌─────────────┐  │
│  │ XSD Schemas │──│   PikeOS     │──│   Safety     │  │
│  │   (316)     │  │   Source     │  │   Patterns   │  │
│  └─────────────┘  │   Code       │  │   (AUTOSAR)  │  │
│                  └──────────────┘  └─────────────┘  │
└─────────────────────────────────────────────────────────┘
                           │
                           │ Mapping Layer
                           ▼
┌─────────────────────────────────────────────────────────┐
│                   Aurelio Cyber-Physical Brain         │
│  ┌─────────────┐  ┌──────────────┐  ┌─────────────┐  │
│  │  Agent      │──│   Graph      │──│   Safety     │  │
│  │ Components  │  │   Learning   │  │   Monitoring │  │
│  └─────────────┘  └──────────────┘  └─────────────┘  │
└─────────────────────────────────────────────────────────┘

Phase 1: XSD Workflow → Aurelio Code Generation

1.1 Schema-Driven Agent Configuration

PikeOS Pattern:

<!-- PikeOS component XSD -->
<xs:complexType name="Component">
    <xs:sequence>
        <xs:element name="Description" type="xs:string"/>
        <xs:element name="Dependencies" type="Dependencies"/>
        <xs:element name="Parameters" type="Parameters"/>
    </xs:sequence>
</xs:complexType>

Aurelio Implementation:

class AurelioAgentComponent:
    """Agent component based on PikeOS XSD patterns"""
    
    def __init__(self, schema: XSDSchema):
        self.description = schema.get_description()
        self.dependencies = schema.get_dependencies()
        self.parameters = schema.get_parameters()
        
        # PikeOS-style validation
        self._validate_component(schema)
    
    def _validate_component(self, schema: XSDSchema) -> bool:
        """Validate component with PikeOS safety checks"""
        # Apply PikeOS UOSX_STAND_CHECK_PTR equivalent
        if not self._validate_parameters():
            raise AurelioSafetyError("Parameter validation failed")
        
        if not self._validate_dependencies():
            raise AurelioSafetyError("Dependency validation failed")
        
        return True

1.2 Code Generation Pipeline Mapping

PikeOS Eclipse Pipeline:

XSD Schema → Ecore Model → Java Parser → C Code → Compiled Binary

Aurelio Pipeline:

XSD Schema → Aurelio Parser → Agent Model → Python/C++ Code → Agent Component

Implementation:

class AurelioCodeGenerator:
    """Code generator inspired by PikeOS Eclipse workflow"""
    
    def __init__(self):
        self.schema_processor = XSDSchemaProcessor()
        self.agent_generator = AgentComponentGenerator()
        self.validator = CodeValidator()
    
    def generate_agent_from_xsd(self, xsd_file: str) -> AgentComponent:
        """Generate agent component from XSD schema"""
        # Process XSD schema
        schema = self.schema_processor.parse(xsd_file)
        
        # Validate schema constraints
        self.validator.validate_schema(schema)
        
        # Generate agent component
        agent = self.agent_generator.generate(schema)
        
        # Apply safety-critical patterns
        self._apply_safety_patterns(agent)
        
        return agent
    
    def _apply_safety_patterns(self, agent: AgentComponent):
        """Apply PikeOS safety-critical patterns"""
        # Add bounds checking (UOSX_STAND_CHECK_PTR equivalent)
        agent.add_bounds_checking()
        
        # Add const correctness
        agent.add_const_correctness()
        
        # Add assertions (warn/warn_once equivalent)
        agent.add_safety_assertions()

Phase 2: Safety-Critical Patterns → Aurelio Safety

2.1 Memory Safety Patterns

PikeOS Pattern:

// PikeOS memory safety
UOSX_STAND_CHECK_PTR(dst_void, length);
UOSX_STAND_CHECK_PTR(src_void, length);

if (ALIGNED2(size_t, d, i)) {
    // Aligned fast path
}

Aurelio Implementation:

class AurelioMemorySafety:
    """Memory safety inspired by PikeOS patterns"""
    
    @staticmethod
    def check_pointer(ptr: bytes, length: int) -> bool:
        """UOSX_STAND_CHECK_PTR equivalent for Python"""
        if not isinstance(ptr, (bytes, bytearray)):
            return False
        if length < 0 or length > len(ptr):
            return False
        return True
    
    @staticmethod
    def check_alignment(ptr: bytes, alignment: int) -> bool:
        """ALIGNED2 equivalent for Python"""
        return (id(ptr) % alignment) == 0
    
    def safe_memory_operation(self, src: bytes, dst: bytearray, length: int) -> bool:
        """Safe memory operation with PikeOS-style checks"""
        if not self.check_pointer(src, length):
            return False
        if not self.check_pointer(dst, length):
            return False
        
        # Perform aligned operation if possible
        if self.check_alignment(src, 8) and self.check_alignment(dst, 8):
            return self._aligned_copy(src, dst, length)
        else:
            return self._unaligned_copy(src, dst, length)

2.2 Assertions and Runtime Validation

PikeOS Pattern:

// PikeOS production-safe assertions
#define warn(cond) if(!(cond)) p4_warning(__FILE__, __LINE__, #cond)

#define warn_once(cond) ({ \
    static P4_atomic_t _wonce = P4_ATOMIC_INIT; \
    if (!(cond)) { \
        if (p4_atomic_cas(&_wonce, 0, 1) == TRUE) { \
            p4_warning(__FILE__, __LINE__, #cond); \
        } \
    } \
})

Aurelio Implementation:

class AurelioSafetyChecks:
    """Production-safe assertions inspired by PikeOS"""
    
    @staticmethod
    def warn(condition: bool, context: str) -> None:
        """PikeOS warn equivalent"""
        if not condition:
            Logger.safety_warning(f"Warning in {context}")
    
    @staticmethod
    def warn_once(condition: bool, context: str) -> None:
        """PikeOS warn_once with atomic operation"""
        if not condition:
            # Use atomic operation for thread safety
            if AurelioSafetyChecks._atomic_flag.compare_and_set(False, True):
                Logger.safety_warning(f"One-time warning in {context}")
    
    @staticmethod
    def assert_condition(condition: bool, context: str) -> bool:
        """Production-safe assertion"""
        if not condition:
            Logger.safety_error(f"Assertion failed in {context}")
            return False
        return True

Phase 3: Component Architecture → Aurelio Agents

3.1 Scheduler → Aurelio Thread Orchestrator

PikeOS Scheduler:

// PikeOS time partitioning and priority scheduling
extern void schedule(void);
extern void thread_wait(timeout_t timeout);
extern void thread_wakeup(thread_t *thread);
extern void thread_yield(void);

Aurelio Thread Orchestrator:

class AurelioThreadOrchestrator:
    """Thread orchestrator based on PikeOS scheduler patterns"""
    
    def __init__(self):
        self.time_partitioning = TimePartitioning()
        self.priority_manager = PriorityManager()
        self.preemption_monitor = PreemptionMonitor()
        self.ready_queue = ReadyQueue()
    
    def schedule_agent(self, agent: AurelioAgent, deadline: Deadline):
        """Schedule agent with PikeOS-style safety"""
        # Apply PikeOS scheduling protocol
        self._validate_scheduling_conditions(agent)
        
        # Assign time partition
        self.time_partitioning.assign_partition(agent, deadline)
        
        # Set up priority management
        self.priority_manager.set_priority(agent, deadline.priority)
        
        # Enable preemption monitoring
        self.preemption_monitor.enable(agent)
        
        # Add to ready queue
        self.ready_queue.enqueue(agent)
    
    def agent_wait(self, agent: AurelioAgent, timeout: Timeout):
        """Thread wait equivalent for agents"""
        # PikeOS waiting sequence protocol
        agent.release_critical_section_locks()
        self.ready_queue.remove(agent)
        agent.wait_for_event(timeout)
    
    def agent_wakeup(self, agent: AurelioAgent):
        """Thread wakeup equivalent for agents"""
        # PikeOS wakeup sequence protocol
        self.ready_queue.enqueue(agent)
        agent.notify_event()
    
    def agent_yield(self, agent: AurelioAgent):
        """Thread yield equivalent for agents"""
        # PikeOS yield protocol
        self.preemption_monitor.check_preemption_point(agent)
        self.ready_queue.yield(agent)

3.2 Memory Management → Aurelio Memory Manager

PikeOS Memory:

// PikeOS memory management
extern void *kmalloc(size_t size);
extern void kfree(void *ptr);
extern void heap_validate(void);
extern void garbage_collect(void);

Aurelio Memory Manager:

class AurelioMemoryManager:
    """Memory manager based on PikeOS patterns"""
    
    def __init__(self):
        self.bounds_checker = BoundsChecker()
        self.heap_protector = HeapProtector()
        self.garbage_collector = GarbageCollector()
        self.memory_partitioner = MemoryPartitioner()
    
    def allocate_safe(self, size: int, asil_level: ASILLevel) -> Optional[memory]:
        """Safe allocation with PikeOS-style checks"""
        # PikeOS UOSX_STAND_CHECK_PTR validation
        if not self.bounds_checker.validate_size(size):
            raise MemoryError("Invalid size parameter")
        
        # Apply safety level protection
        memory = self.heap_protector.allocate(size, asil_level)
        
        if memory and asil_level == ASILLevel.D:
            self.garbage_collector.register_for_tracking(memory)
        
        return memory
    
    def free_safe(self, memory: memory) -> None:
        """Safe memory deallocation"""
        # Validate before freeing
        if not self.heap_protector.validate_memory(memory):
            raise MemoryError("Invalid memory pointer")
        
        # Perform garbage collection if needed
        self.garbage_collector.collect_if_necessary()
        
        # Free memory
        self.heap_protector.free(memory)
    
    def validate_heap(self) -> bool:
        """PikeOS heap_validate equivalent"""
        return self.heap_protector.validate_integrity()
    
    def collect_garbage(self) -> GarbageCollectionResult:
        """PikeOS garbage_collect equivalent"""
        return self.garbage_collector.collect()

3.3 IPC → Aurelio Agent Communication

PikeOS IPC:

// PikeOS inter-process communication
extern int ipc_send(thread_t *dest, void *msg, size_t len);
extern int ipc_receive(thread_t *src, void *msg, size_t len);
extern void ipc_mask_update(thread_t *thread, ipc_mask_t mask);

Aurelio Agent Communication:

class AurelioAgentCommunication:
    """Agent communication based on PikeOS IPC patterns"""
    
    def __init__(self):
        self.thread_locker = ThreadSafeLocking()
        self.queue_manager = SafeQueueManager()
        self.mask_manager = IPCMaskManager()
        self.protocol_validator = ProtocolValidator()
    
    def send_message_safe(self, sender: Agent, receiver: Agent, message: Message):
        """PikeOS ipc_send equivalent for agents"""
        # Apply PikeOS IPC protocol
        self.thread_locker.acquire_thread_lock(sender)
        
        try:
            # Validate message
            if not self.protocol_validator.validate(message):
                raise CommunicationError("Invalid message format")
            
            # Check IPC mask
            if not self.mask_manager.check_permission(sender, receiver):
                raise CommunicationError("IPC permission denied")
            
            # Enqueue to receiver's queue
            self.queue_manager.enqueue(receiver, message)
            
        finally:
            self.thread_locker.release_thread_lock(sender)
    
    def receive_message_safe(self, receiver: Agent, timeout: Timeout) -> Optional[Message]:
        """PikeOS ipc_receive equivalent for agents"""
        # Apply PikeOS receive sequence
        self.thread_locker.acquire_thread_lock(receiver)
        
        try:
            # Wait for message with timeout
            message = self.queue_manager.dequeue(receiver, timeout)
            
            if message:
                self.protocol_validator.validate_received(message)
            
            return message
            
        finally:
            self.thread_locker.release_thread_lock(receiver)
    
    def update_ipc_mask(self, agent: Agent, mask: IPCMask):
        """PikeOS ipc_mask_update equivalent"""
        self.mask_manager.update_mask(agent, mask)
        self.queue_manager.apply_mask(agent, mask)

Phase 4: Hypervisor Architecture → Aurelio Orchestration

4.1 Virtual Machine Management → Aurelio Agent Sandbox

PikeOS VM Management:

// PikeOS VM lifecycle
int universalisos_create_vm(vm_config_t *config, universalisos_vm_context_t **vm_out);
int universalisos_start_vm(universalisos_vm_context_t *vm);
int universalisos_stop_vm(universalisos_vm_context_t *vm);

Aurelio Agent Sandbox:

class AurelioAgentSandbox:
    """Agent sandbox based on PikeOS VM patterns"""
    
    def __init__(self):
        self.vm_manager = VirtualMachineManager()
        self.isolation_manager = IsolationManager()
        self.resource_quota_manager = ResourceQuotaManager()
    
    def create_agent_sandbox(self, agent_config: AgentConfig) -> AgentSandbox:
        """Create agent sandbox with PikeOS VM isolation"""
        # Apply PikeOS VM creation safety
        sandbox = AgentSandbox(agent_config)
        
        # Set up memory isolation
        self.isolation_manager.setup_memory_partitioning(sandbox, agent_config.asil_level)
        
        # Configure resource quotas
        self.resource_quota_manager.set_quotas(sandbox, agent_config.resource_limits)
        
        # Enable safety monitoring
        self.enable_safety_monitoring(sandbox)
        
        return sandbox
    
    def start_agent(self, agent: Agent, sandbox: AgentSandbox):
        """Start agent in sandbox with PikeOS safety"""
        # Validate sandbox state
        if not self.isolation_manager.validate_isolation(sandbox):
            raise SandboxError("Sandbox isolation validation failed")
        
        # Start agent with safety checks
        agent.start(sandbox)
        
        # Enable runtime monitoring
        self.enable_runtime_monitoring(agent, sandbox)
    
    def stop_agent(self, agent: Agent):
        """Stop agent safely"""
        # Apply PikeOS VM stop safety protocol
        self.disable_runtime_monitoring(agent)
        self.isolation_manager.cleanup_resources(agent)
        agent.stop()

4.2 Time Partitioning → Aurelio Real-Time Scheduling

PikeOS Time Partitioning:

// PikeOS time partition enforcement
void universalisos_enforce_time_partition(universalisos_vcpu_t *vcpu);
bool universalisos_check_time_partition_compliance(universalisos_vm_context_t *vm);

Aurelio Real-Time Scheduling:

class AurelioRealTimeScheduler:
    """Real-time scheduling based on PikeOS time partitioning"""
    
    def __init__(self):
        self.time_partitioner = TimePartitioner()
        self.deadline_monitor = DeadlineMonitor()
        self.priority_inheritor = PriorityInheritor()
    
    def schedule_agent_with_deadline(self, agent: Agent, deadline: Deadline):
        """Schedule agent with real-time deadline"""
        # Apply PikeOS time partitioning
        partition = self.time_partitioner.create_partition(agent, deadline)
        
        # Set up deadline monitoring
        self.deadline_monitor.enable(agent, deadline)
        
        # Configure priority inheritance
        self.priority_inheritor.setup(agent, deadline.priority)
        
        # Schedule in ready queue
        self.ready_queue.enqueue(agent, partition)
    
    def enforce_time_partition(self, agent: Agent):
        """PikeOS time partition enforcement"""
        partition = self.time_partitioner.get_partition(agent)
        
        # Check time slice compliance
        if not partition.within_time_slice():
            self.deadline_monitor.check_deadline(agent)
            self.time_partitioner.enforce_deadline(agent)
    
    def handle_deadline_miss(self, agent: Agent):
        """Handle deadline miss with PikeOS safety"""
        # Apply PikeOS deadline miss protocol
        self.deadline_monitor.log_deadline_miss(agent)
        self.priority_inheritor.apply_priority_boost(agent)
        
        # Take corrective action
        if agent.asil_level == ASILLevel.D:
            self.handle_safety_critical_deadline_miss(agent)

Phase 5: Component Configuration → Aurelio Agent Definition

5.1 XSD-Driven Agent Definition

PikeOS Component XSD:

<xs:complexType name="Component">
    <xs:sequence>
        <xs:element name="Description" type="xs:string"/>
        <xs:element name="CategoryTable" type="componentCategories"/>
        <xs:element name="DependencyTable" type="componentDepends"/>
        <xs:element name="ParameterTable" type="TypeParameters"/>
    </xs:sequence>
</xs:complexType>

Aurelio Agent Schema:

@dataclass
class AurelioAgentSchema:
    """Agent schema based on PikeOS component XSD"""
    name: str
    description: str
    categories: List[str]
    dependencies: List[str]
    parameters: Dict[str, Any]
    asil_level: ASILLevel
    resource_limits: ResourceLimits
    
    def to_agent(self) -> 'AurelioAgent':
        """Generate agent from schema"""
        # Validate schema
        self._validate_schema()
        
        # Create agent with PikeOS safety patterns
        agent = AurelioAgent(
            name=self.name,
            description=self.description,
            asil_level=self.asil_level
        )
        
        # Apply safety-critical patterns
        self._apply_safety_patterns(agent)
        
        # Set up parameters
        for param_name, param_value in self.parameters.items():
            agent.set_parameter(param_name, param_value)
        
        # Configure dependencies
        for dep in self.dependencies:
            agent.add_dependency(dep)
        
        return agent

Implementation Roadmap

Path C: Complete Aurelio Integration Strategy (6-9 months)

Objective: Implement comprehensive agent-based development infrastructure to accelerate Universalisos development by 40-50% while achieving complete PikeOS 5.0 parity.

Month 1-3: Core Agent Infrastructure

Deliverables:

Complete XSD processing pipeline for 316 PikeOS schemas
Agent code generation framework for all PikeOS components
Basic agent testing framework
Agent validation against PikeOS patterns

Agent Categories:

XSD Processing Agents
- Process all PikeOS XSD schemas (316 files)
- Generate C++ code skeletons from XSD definitions
- Validate generated code against PikeOS patterns
Code Generation Agents
- Generate driver code from driver XSD schemas
- Generate configuration structures from config XSD
- Generate API interfaces from PikeOS API definitions

Month 4-6: Agent Testing and Validation

Deliverables:

Comprehensive agent-based testing framework
Performance benchmarking vs. PikeOS implementations
MISRA C++ compliance checking agents
Automated validation across all component categories

Testing Capabilities:

Component Testing Agents
- Unit test generation from XSD test schemas
- Integration testing across component boundaries
- Performance testing and benchmarking
Compliance Checking Agents
- MISRA C++ real-time validation
- AUTOSAR compliance checking
- Safety-critical pattern validation

Month 7-9: Advanced Agent Integration

Deliverables:

Aurelio mega-brain integration
Advanced optimization agents
Cyber-physical system integration
Production deployment support

Advanced Features:

Optimization Agents
- Performance tuning across all subsystems
- Resource usage optimization
- Real-time capability optimization
Coordination Agents
- Multi-agent orchestration for complex features
- Dependency management and resolution
- Cross-component optimization

Stage 1: Bare-Metal Hypervisor Skeleton ✅ Implemented

Deliverables:

Bootable bare-metal kernel for QEMU ARM virt, written in C++
Assembly startup with stack/BSS setup
PL011 UART driver for serial output
Build system using arm-none-eabi-g++

Code Components:

File	Purpose
`kernel/arch/arm/boot.S`	ARMv7 assembly entry point
`kernel/arch/arm/linker.ld`	Memory layout for QEMU virt
`kernel/arch/arm/uart.c` / `uart.h`	PL011 UART driver
`kernel/kernel.c`	`kernel_main()` entry point
`kernel/Makefile`	Cross-compilation and QEMU launch
`kernel/README.md`	Build and run instructions

Verification: make run boots the kernel in QEMU and prints:

Universalisos type-1 hypervisor booted.
Stage 1: bare-metal skeleton running on QEMU ARM virt.

Stage 2: Code Generation Pipeline (Week 3-4)

Deliverables:

XSD schema processor for agent definitions
Agent component code generator
Safety-critical code patterns application
Generated code validation framework

Code Components:

# Code generation modules
- AurelioCodeGenerator
- XSDSchemaProcessor
- AgentComponentGenerator
- CodeValidator

Stage 3: Agent Orchestration (Week 5-6)

Deliverables:

Real-time thread orchestrator
Memory manager with garbage collection
Agent communication system
Resource quota management

Code Components:

# Orchestration modules
- AurelioThreadOrchestrator
- AurelioMemoryManager
- AurelioAgentCommunication
- ResourceQuotaManager

Stage 4: Hypervisor Integration (Week 7-8)

Deliverables:

Virtual machine management for agent isolation
Time partitioning for real-time guarantees
Safety monitoring and compliance checking
Fault isolation and containment

Code Components:

# Hypervisor modules
- AurelioHypervisorOrchestrator
- VirtualMachineManager
- TimePartitioning
- SafetyMonitor

Verification Strategy

Phase 1: Safety Infrastructure Validation

# Memory safety tests
def test_memory_bounds_checking():
    """Test PikeOS-style memory safety"""
    # UOSX_STAND_CHECK_PTR equivalent tests
    assert not check_pointer(invalid_ptr, 100)
    assert check_pointer(valid_ptr, 50)
    
    # ALIGNED2 equivalent tests
    assert check_alignment(aligned_ptr, 8)
    assert not check_alignment(unaligned_ptr, 8)

# Assertion tests
def test_production_safe_assertions():
    """Test PikeOS warn/warn_once patterns"""
    # Test warning functionality
    warn(True, "test_context")  # Should not warn
    
    # Test one-time warning
    for i in range(10):
        warn_once(False, "test_once")  # Should warn only once

Phase 2: Code Generation Validation

# XSD processing tests
def test_xsd_to_agent_generation():
    """Test XSD-driven agent generation"""
    xsd_schema = load_xsd("agent_component.xsd")
    generator = AurelioCodeGenerator()
    
    agent = generator.generate_agent_from_xsd(xsd_schema)
    
    # Validate generated agent
    assert agent.name == "TestAgent"
    assert agent.has_safety_patterns()
    assert agent.validates_parameters()

# Generated code validation
def test_generated_agent_safety():
    """Test safety patterns in generated agents"""
    agent = generate_test_agent()
    
    # Test bounds checking
    agent.set_parameter("test_param", 100)
    assert agent.validate_parameter("test_param", 100)
    
    # Test memory operations
    assert agent.perform_safe_memory_operation()

Phase 3: Orchestration Validation

# Real-time scheduling tests
def test_real_time_scheduling():
    """Test PikeOS-style real-time scheduling"""
    scheduler = AurelioThreadOrchestrator()
    agent = create_test_agent()
    deadline = Deadline(ms=10)
    
    scheduler.schedule_agent(agent, deadline)
    
    # Test time partition compliance
    assert scheduler.check_time_partition_compliance(agent)
    
    # Test deadline handling
    scheduler.simulate_deadline_miss(agent)
    assert scheduler.deadline_miss_count == 1

# Communication safety tests
def test_agent_communication_safety():
    """Test PikeOS-style IPC safety"""
    sender = create_test_agent()
    receiver = create_test_agent()
    message = create_test_message()
    
    comm = AurelioAgentCommunication()
    
    # Test thread-safe send
    comm.send_message_safe(sender, receiver, message)
    
    # Test receive with timeout
    received = comm.receive_message_safe(receiver, Timeout(ms=100))
    assert received == message

Success Criteria

Phase 1 Success Metrics

Memory safety framework with <1% overhead
Zero production assertion failures (properly silenced)
Thread-safe locking with no deadlocks
Basic agent sandbox with isolation verification

Phase 2 Success Metrics

XSD schema processing with 100% coverage
Code generation with safety pattern application
Generated code passes all safety checks
Code generation overhead <5% compared to hand-written

Phase 3 Success Metrics

Real-time scheduling with <100μs overhead
Memory management with <10% fragmentation
Agent communication with zero message loss
Resource quota enforcement with 99% accuracy

Phase 4 Success Metrics

VM isolation with <1μs context switch
Time partitioning with <1% deadline miss rate
Safety monitoring with <100μs detection latency
Fault containment with 100% isolation verification

Integration Testing

End-to-End Test Scenario

def test_aurelio_pikeos_integration():
    """Comprehensive integration test"""
    
    # Stage 1: Create agent from XSD
    xsd_schema = load_xsd("test_agent.xsd")
    generator = AurelioCodeGenerator()
    agent = generator.generate_agent_from_xsd(xsd_schema)
    
    # Stage 2: Create sandbox
    sandbox_mgr = AurelioAgentSandbox()
    sandbox = sandbox_mgr.create_agent_sandbox(agent.config)
    
    # Stage 3: Start agent with real-time scheduling
    scheduler = AurelioThreadOrchestrator()
    deadline = Deadline(ms=50)
    scheduler.schedule_agent(agent, deadline)
    
    # Stage 4: Test communication
    sender = agent
    receiver = create_test_agent()
    comm = AurelioAgentCommunication()
    message = create_test_message()
    comm.send_message_safe(sender, receiver, message)
    
    # Stage 5: Test monitoring
    monitor = SafetyMonitor()
    monitor.start_monitoring(agent)
    
    # Validate results
    assert monitor.safety_compliance_check(agent)
    assert scheduler.deadline_miss_count == 0
    assert comm.message_success_rate == 1.0

Conclusion

This Aurelio integration plan establishes a comprehensive mapping from PikeOS 5.0 patterns to Aurelio cyber-physical brain implementation. The integration provides:

✅ Safety-Critical Foundation: AUTOSAR/MISRA compliant code generation ✅ Real-Time Guarantees: Deterministic scheduling and time partitioning
✅ Memory Safety: Comprehensive bounds checking and validation ✅ Agent Isolation: Strong sandbox with VM-level isolation ✅ Production Safety: Fail-safe design with graceful degradation

Key Integration Achievements:

XSD-driven agent component generation
PikeOS safety patterns applied to agent orchestration
Real-time scheduling with deadline guarantees
Thread-safe inter-agent communication
Comprehensive safety monitoring and compliance

Phase 6: Agent Runtime Security Sandboxing (Integration of Awesome-Agent-Runtime-Security)

As the Aurelio Cyber-Physical Brain evolves, integrating capabilities from the awesome-agent-runtime-security landscape is paramount. This integration allows Aurelio to run unverified agent logic within strict, hardware-enforced boundaries.

6.1 Hardware-Level Isolation (MicroVM Parity)

Rather than relying on nested virtualization (e.g., KVM-based Firecracker or libkrun), UniversalisOS provides Native Spatial Partitions.

Implementation: Agent environments (Linux or bare-metal) are instantiated in dedicated UniversalisOS partitions with isolated memory address spaces and deterministic execution time slices.
Benefit: Achieves equivalent or superior isolation to MicroVMs while retaining formal verification guarantees.

6.2 OS-Level Sandboxing within Linux Guests

For agents requiring full POSIX environments:

Implementation: Hardened Linux guest partitions are configured to utilize bubblewrap, Landlock, and seccomp-bpf to restrict the agent's filesystem and syscall access.
Observability: eBPF-based tracing (similar to Tracee or AgentSentinel) is deployed inside the guest to log and monitor tool executions and enforce MAC policies.

6.3 Secure Vault Partition (Secret Brokering)

To implement proxy-based secret isolation (e.g., iron-proxy, wardgate):

Implementation: A dedicated Secure Vault Partition is established in UniversalisOS.
Workflow: Agent network traffic is routed via hypervisor IPC to the Vault Partition. The agent uses placeholder tokens, and the Vault Partition injects the real API credentials before egress.
Benefit: Secrets never exist within the agent's memory space, eliminating exfiltration risks.

Status: 🔄 In Progress

Stage 1 (bare-metal hypervisor skeleton) is complete and boots in QEMU. The original Python mapping has been discarded in favor of a real C implementation.

Next Steps:

Add C safety primitives (bounds checking, assertions, spinlocks)
Add exception vector table and basic trap handling
Implement a simple UART console shell
Bring up a second CPU core (SMP bring-up)
Begin Stage 2: code generation and build integration
Setup Secure Vault Partition skeleton for Phase 6

31 KiB Raw Blame History

Aurelio Integration Plan: PikeOS → Aurelio Implementation

Overview

Mapping Overview

Phase 1: XSD Workflow → Aurelio Code Generation

1.1 Schema-Driven Agent Configuration

1.2 Code Generation Pipeline Mapping

Phase 2: Safety-Critical Patterns → Aurelio Safety

2.1 Memory Safety Patterns

2.2 Assertions and Runtime Validation

Phase 3: Component Architecture → Aurelio Agents

3.1 Scheduler → Aurelio Thread Orchestrator

3.2 Memory Management → Aurelio Memory Manager

3.3 IPC → Aurelio Agent Communication

Phase 4: Hypervisor Architecture → Aurelio Orchestration

4.1 Virtual Machine Management → Aurelio Agent Sandbox

4.2 Time Partitioning → Aurelio Real-Time Scheduling

Phase 5: Component Configuration → Aurelio Agent Definition

5.1 XSD-Driven Agent Definition

Implementation Roadmap

Path C: Complete Aurelio Integration Strategy (6-9 months)

Month 1-3: Core Agent Infrastructure

Month 4-6: Agent Testing and Validation

Month 7-9: Advanced Agent Integration

Stage 1: Bare-Metal Hypervisor Skeleton ✅ Implemented

Stage 2: Code Generation Pipeline (Week 3-4)

Stage 3: Agent Orchestration (Week 5-6)

Stage 4: Hypervisor Integration (Week 7-8)

Verification Strategy

Phase 1: Safety Infrastructure Validation

Phase 2: Code Generation Validation

Phase 3: Orchestration Validation

Success Criteria

Phase 1 Success Metrics

Phase 2 Success Metrics

Phase 3 Success Metrics

Phase 4 Success Metrics

Integration Testing

End-to-End Test Scenario

Conclusion

Phase 6: Agent Runtime Security Sandboxing (Integration of Awesome-Agent-Runtime-Security)

6.1 Hardware-Level Isolation (MicroVM Parity)

6.2 OS-Level Sandboxing within Linux Guests

6.3 Secure Vault Partition (Secret Brokering)

31 KiB

Raw Blame History