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SILVIA Core 3.1 - API Documentation
Deterministic AI Orchestration for Production-Critical Systems
Overview
SILVIA Core is a deterministic artificial intelligence orchestration platform designed for safety-critical and mission-critical deployments where predictability, auditability, and security are non-negotiable requirements. Unlike probabilistic AI systems that introduce uncertainty, SILVIA Core provides guaranteed execution, complete auditability, and sub-millisecond response times across all deployment scenarios.
SILVIA Core serves as an intelligent orchestration layer that coordinates AI models, sensor fusion, business logic, and human oversight within a cryptographically auditable execution framework—transforming AI from advisory suggestions to validated, production-critical execution.
The SILVIA Difference
Traditional AI systems face a critical deployment gap: while powerful in controlled environments, they consistently fail production requirements across defense, aerospace, medical, and industrial sectors. SILVIA Core addresses this through:
- Deterministic Execution - Same input + same state = same output, always
- Behavior-Based Orchestration - Composable decision primitives with microsecond-precision timing
- Security Enforcement - Behavior-level access control (0-255 security levels) enforced at execution
- Cryptographic Audit Trails - Every decision cryptographically signed and timestamped
- Universal Deployment - From ARM microcontrollers to cloud-scale infrastructure, zero rewrites
Quick Start
New to SILVIA Core?
Start with these essential documents in order:
- Executive Summary - Business case, key capabilities, and why SILVIA succeeds where others fail
- Architecture Overview - The behavior-based execution model and LIVE pipeline
- API Reference - Complete API interface documentation
- Integration Scenarios - Real-world deployment patterns with code examples
- Security & Compliance - Enterprise security and regulatory alignment
Already Familiar?
Jump directly to the API you need:
- Core API - Multi-instance management, variables, timed functions, fixed update loops
- Brain API - Inference engine, behavior execution, pattern matching
- Database API - SQL operations, connection pooling, transaction management
- Sensors API - Real-time telemetry, coordinator events, IoT integration
- Complete API Index - All 15+ specialized APIs
Core Capabilities
1. Behavior-Based Orchestration Engine
Execute complex multi-step decision sequences through composable behavior primitives authored in natural language (Expert Text format), compiled to bytecode, and executed deterministically. Changes to decision logic don't require software recompilation—update the brain file, reload, and new behaviors are live.
Use Cases: Mission-critical systems where decision logic must be maintained by domain experts, not just software engineers.
2. Live C# Script Compilation & Execution
Compile and execute C# code at runtime within behaviors, with full access to system APIs, external libraries, and hardware interfaces. Scripts compile to native code with Roslyn, cached, and executed at near-native performance.
Use Cases: Connect to any system with C# bindings—REST APIs, databases, hardware controllers, ML models, and more.
3. Cryptographic Audit Trails
Every behavior execution, API call, variable change, and decision is logged with RSA-4096 digital signatures, microsecond timestamps, and complete input/output capture. Hash-chained entries prevent tampering and enable court-admissible forensic reconstruction.
Use Cases: FDA, FAA, MIL-STD compliance; post-incident forensic analysis; regulatory submissions.
4. Multi-Agent Coordination
Multiple SILVIA cores coordinate through a publish-subscribe event system with coordinator sensors. Build distributed AI systems where specialized agents coordinate without tight coupling, with automatic failover and independent updates.
Use Cases: Swarm robotics, autonomous vehicle fleets, distributed sensor fusion, hierarchical control systems.
5. Zero-Configuration Cross-Platform Deployment
Same codebase deploys to ARM Cortex-M microcontrollers (16KB RAM), mobile devices, desktop applications, Linux servers, and Azure/AWS cloud instances. No platform-specific rewrites, no conditional compilation.
Use Cases: Develop once on desktop, deploy everywhere—edge devices run the same brain files as cloud servers.
6. Security-First Architecture
Every behavior has a security level (integer). Users have clearance levels, allowing custom access control at every level of organization or process. The execution engine validates clearance before behavior execution. Multi-tenant systems with strong isolation—cryptographic boundary enforcement prevents cross-user data leakage.
Use Cases: Zero-trust environments, multi-tenant SaaS, classified/unclassified separation, hierarchical access control.
Deployment Models
Embedded Deployment (Edge Intelligence)
Platforms: ARM Cortex-M, RISC-V, FPGAs, industrial controllers
Profile: 16KB-1MB RAM, 32-256MHz, bare-metal or RTOS
Use Cases: Autonomous drones, medical implants, industrial sensors
Server Deployment (Multi-Tenant Orchestration)
Platforms: Linux/Windows servers, Azure/AWS VMs
Profile: 1GB+ RAM, multi-core, network connectivity
Use Cases: Enterprise AI, multi-user systems, training simulation, API services
Hybrid Deployment (Edge-Cloud Coordination)
Platforms: Edge device + cloud backend (federated architecture)
Profile: Lightweight edge + heavyweight cloud processing
Use Cases: Autonomous vehicles, smart cities, industrial IoT
Documentation Structure
Foundation Documents
| Document | Description | Audience |
|---|---|---|
| Executive Summary | Strategic overview, business case, key differentiators | Decision makers, architects |
| Architecture | Behavior-based execution model, LIVE pipeline, multi-agent coordination | Technical architects, senior developers |
| Integration Scenarios | Real-world deployment patterns with complete C# examples | Developers, system integrators |
| Security & Compliance | Cryptographic audit trails, device binding, MIL-STD/FDA compliance | Security engineers, compliance officers |
API Reference Documentation
| API | Description | Primary Use Cases |
|---|---|---|
| Core API | Instance lifecycle, variables, timed functions, fixed updates | Foundation for all SILVIA applications |
| Brain API | Inference engine, behavior execution, pattern matching | Conversational AI, decision logic |
| App API | Output management, text/voice/data streams | User interface integration |
| Data API | Knowledge base construction, concept management | Content authoring, training |
| Mem API | Brain file persistence, group management | State management, updates |
| Feedback API | Conversational memory, spontaneous thought | Contextual AI, proactive systems |
| Database API | SQL operations, connection pooling, transactions | Enterprise data integration |
| Sensors API | Real-time telemetry, coordinator events, IoT | Robotics, automation, sensor fusion |
| Users API | Multi-user session management, data isolation | Multi-tenant systems |
| CLI | SILVIA LIVE command-line interface | Development, debugging, live training |
| Navigation API | Pathfinding, obstacle avoidance, map management | Autonomous systems, robotics |
| MeshNet API | Peer-to-peer networking, distributed state | Swarm coordination, ad-hoc networks |
| Modding API | Plugin system, dynamic behavior loading | Extensions, third-party integration |
| Complete Reference | Comprehensive API index with all 15+ subsystems | Quick reference, API discovery |
Regulatory Compliance
SILVIA Core's architecture aligns with multiple regulatory frameworks:
| Standard | Applicability | SILVIA Support | Documentation |
|---|---|---|---|
| MIL-STD-882E | Defense systems | Hazard tracking, risk levels, audit trails | Security & Compliance |
| DO-178C | Avionics (DAL C/D) | Deterministic execution, traceability | Architecture |
| ISO 26262 | Automotive (ASIL B/C) | Safety monitors, diagnostics, graceful degradation | Integration Scenarios |
| FDA 21 CFR Part 11 | Medical devices | Electronic records, digital signatures, audit trails | Security & Compliance |
| NIST CSF | Critical infrastructure | Identify/Protect/Detect/Respond/Recover controls | Security & Compliance |
Real-World Applications
Healthcare AI
Patient monitoring with FDA-compliant audit trails, deterministic medical device control, clinical decision support with explainable reasoning.
Financial Trading
Algorithmic trading with guaranteed execution, regulatory audit logs, millisecond-latency risk assessment.
Industrial Control
Factory automation with deterministic safety interlocks, real-time sensor fusion, predictable fail-safe behavior.
Defense Systems
Mission-critical AI with verified behavior, complete operational transparency, security-level-based access control.
Autonomous Vehicles
Sensor fusion with hard real-time deadlines, safety-critical decision-making, post-incident forensic reconstruction.
Enterprise AI
Multi-tenant conversational AI with user isolation, session management, scalable cloud deployment.
Performance Characteristics
Execution Speed
- Variable Access: < 10 μs
- Timer Scheduling: < 50 μs
- Brain Inference: 0.1-5 ms (depends on complexity)
- Multi-Core Coordination: < 1 ms overhead
Memory Footprint
- Minimal Core: 2-5 MB (empty brain)
- Typical Application: 10-50 MB (loaded brain)
- Large Knowledge Base: 100-500 MB (extensive brain files)
Scalability
- Single Server: 100-1,000 concurrent cores
- Kubernetes: Horizontal scaling with core-per-pod patterns
- Edge Devices: 1-10 cores per device (ARM processors)
Getting Started
Installation
SILVIA Core is distributed as a .NET library with cross-platform support. Contact Cognitive Code for licensing and installation packages.
First Steps
- Review the Executive Summary for strategic context
- Study the Architecture Overview to understand the behavior-based model
- Follow Integration Scenarios for working code examples
- Explore the Core API to start building
Sample Code
csharp
using CognitiveCode.Silvia.Core;
using CognitiveCode.Silvia.Api;
// Create and initialize a SILVIA Core instance
SilviaCore core = SilviaCoreManager.CreateCore(
userName: "User1",
fileName: "brains/assistant.sil",
boot: true
);
core.SetCreated();
core.SetActive(true);
// Process user input
string[] response = core.ApiBrain().GetResponse("Hello, how are you?", null);
Console.WriteLine(response[0]);
// Access subsystems
var sensors = core.ApiSensors();
var database = core.ApiDatabase();
var navigation = core.ApiNavigation();
// Cleanup
SilviaCoreManager.ReleaseCore(core);Support & Resources
Documentation
- Complete API reference with examples for all public methods
- Integration scenarios with production-ready code
- Security and compliance guidelines
- Performance tuning and optimization guides
Community
- Developer forums at cognitivecode.com/community
- GitHub examples and sample projects
- Technical blog with integration patterns
Commercial Support
- Enterprise licensing and priority support
- Custom integration assistance
- Training and certification programs
Version Information
Current Version: SILVIA Core 3.1 Release Date: November 2025
All public API methods include:
- XML documentation comments in source code
- Complete parameter descriptions
- Return value specifications
- Usage examples where applicable
About Cognitive Code
Cognitive Code Corporation develops deterministic AI systems for production-critical deployments. Founded in 2007, the company specializes in AI orchestration platforms for defense, aerospace, medical, industrial, and enterprise applications where predictability, security, and auditability are essential requirements.
Website: cognitivecode.com
Contact: cognitivecode.com/contact
© Copyright Cognitive Code Corp. 2007-2026
SILVIA is a registered Trademark of Cognitive Code Corp.
