An enterprise-grade intelligent developer assistant and AI platform that interfaces with the LLM DevOps ecosystem, providing natural language interactions, AI/ML model management, multi-agent orchestration, RAG capabilities, compliance frameworks, and comprehensive governance.
LLM-CoPilot-Agent is a comprehensive AI platform that serves as both a conversational interface and an enterprise AI infrastructure. It enables developers and organizations to build, deploy, and manage AI applications with production-grade features including model versioning, A/B testing, multi-agent collaboration, RAG pipelines, compliance management, and governance controls.
- Natural Language Processing - Intent classification with 16+ intent types and entity extraction
- Multi-Turn Conversations - Context-aware dialogue with reference resolution
- Workflow Orchestration - DAG-based workflow execution with approval gates
- Module Integration - Connects to Test-Bench, Observatory, Incident-Manager, and Orchestrator
- Multi-Protocol APIs - REST, WebSocket, and gRPC interfaces
- Production Ready - Circuit breakers, retry logic, rate limiting, and health checks
- Model Management - Versioning, deployment strategies (Rolling, Blue-Green, Canary, Shadow)
- A/B Testing Framework - Statistical significance testing with configurable confidence levels
- Fine-Tuning Support - OpenAI fine-tuning integration with job management
- Agent Orchestration - Configurable AI agents with tool integration
- Multi-Agent Collaboration - Multiple patterns (Sequential, Parallel, Hierarchical, Debate, Consensus, Supervisor)
- Tool/Function Calling - Extensible tool framework with validation and execution
- RAG Pipeline - Document ingestion, chunking strategies, vector search, and generation
- SOC 2 Type II - Control management, audits, findings, evidence collection
- HIPAA Compliance - PHI access logging, BAA management, breach reporting
- Data Residency - Policy enforcement, regional data controls, transfer workflows
- Content Filtering - Safety filters, PII detection, moderation integration
- Usage Policies - Policy evaluation, enforcement modes, violation tracking
- Audit Trail - Comprehensive event logging, anomaly detection, retention
- Data Lineage - Node/edge tracking, impact analysis, graph traversal
┌─────────────────────────────────────────────────────────────────────────────┐
│ LLM-CoPilot-Agent Platform │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ API Gateway Layer │ │
│ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
│ │ │ REST │ │WebSocket│ │ gRPC │ │ GraphQL │ │ Metrics │ │ │
│ │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ Core Services Layer │ │
│ │ │ │
│ │ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ │
│ │ │ AI Platform │ │ Compliance │ │ Governance │ │ │
│ │ │ - Models │ │ - SOC 2 │ │ - Filters │ │ │
│ │ │ - Agents │ │ - HIPAA │ │ - Policies │ │ │
│ │ │ - Tools │ │ - Residency │ │ - Audit │ │ │
│ │ │ - RAG │ │ - Reports │ │ - Lineage │ │ │
│ │ └───────────────┘ └───────────────┘ └───────────────┘ │ │
│ │ │ │
│ │ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ │
│ │ │ Billing │ │ Admin │ │ Support │ │ │
│ │ │ - Usage │ │ - Dashboard │ │ - Tickets │ │ │
│ │ │ - Invoices │ │ - Settings │ │ - Articles │ │ │
│ │ │ - Plans │ │ - Users │ │ - Chat │ │ │
│ │ └───────────────┘ └───────────────┘ └───────────────┘ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ Conversation & NLP Layer │ │
│ │ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ │
│ │ │ NLP Engine │ │ Context │ │ Workflow │ │ │
│ │ │ - Intent │ │ Engine │ │ Engine │ │ │
│ │ │ - Entity │ │ - Memory │ │ - DAG │ │ │
│ │ │ - Query │ │ - Retrieve │ │ - Approval │ │ │
│ │ └──────────────┘ └──────────────┘ └──────────────┘ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ Infrastructure Layer │ │
│ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
│ │ │Postgres │ │ Redis │ │ NATS │ │ Vector │ │ S3/ │ │ │
│ │ │ SQL │ │ Cache │ │ Queue │ │ Store │ │ Blob │ │ │
│ │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
llm-copilot-agent/
├── crates/ # Rust core components
│ ├── copilot-core/ # Core types, errors, configuration
│ ├── copilot-nlp/ # NLP engine, intent classification
│ ├── copilot-context/ # Context engine, memory management
│ ├── copilot-conversation/ # Conversation manager, streaming
│ ├── copilot-workflow/ # Workflow engine, DAG execution
│ ├── copilot-adapters/ # Module adapters with circuit breakers
│ ├── copilot-api/ # REST, WebSocket, gRPC APIs
│ └── copilot-infra/ # Database, cache, messaging
│
├── services/ # TypeScript microservices
│ ├── ai-platform/ # AI/ML Platform Service
│ │ ├── src/
│ │ │ ├── models/ # Type definitions
│ │ │ │ ├── model.ts # Model, version, deployment types
│ │ │ │ ├── agent.ts # Agent, tool, team types
│ │ │ │ └── rag.ts # RAG, collection, document types
│ │ │ ├── services/
│ │ │ │ ├── modelService.ts # Model versioning & deployment
│ │ │ │ ├── abTestService.ts # A/B testing framework
│ │ │ │ ├── fineTuneService.ts # Fine-tuning management
│ │ │ │ ├── agentService.ts # Agent orchestration
│ │ │ │ ├── toolService.ts # Tool/function calling
│ │ │ │ ├── teamService.ts # Multi-agent collaboration
│ │ │ │ └── ragService.ts # RAG pipelines
│ │ │ └── routes/ # API endpoints
│ │ └── migrations/ # Database schemas
│ │
│ ├── compliance/ # Compliance Service
│ │ ├── src/
│ │ │ ├── models/
│ │ │ │ └── compliance.ts # SOC2, HIPAA, residency types
│ │ │ ├── services/
│ │ │ │ ├── complianceService.ts # Controls, audits, findings
│ │ │ │ ├── hipaaService.ts # PHI logging, BAA, breaches
│ │ │ │ └── dataResidencyService.ts # Policies, transfers
│ │ │ └── routes/
│ │ └── migrations/
│ │
│ ├── governance/ # Governance Service
│ │ ├── src/
│ │ │ ├── models/
│ │ │ │ └── governance.ts # Filter, policy, audit, lineage types
│ │ │ ├── services/
│ │ │ │ ├── contentFilterService.ts # Content safety
│ │ │ │ ├── policyService.ts # Usage policies
│ │ │ │ ├── auditService.ts # Audit trail
│ │ │ │ └── dataLineageService.ts # Data lineage tracking
│ │ │ └── routes/
│ │ └── migrations/
│ │
│ ├── billing/ # Billing Service
│ ├── admin-dashboard/ # Admin Dashboard
│ ├── self-service/ # Self-Service Portal
│ ├── support/ # Support Service
│ ├── status-page/ # Status Page
│ └── alerting/ # Alerting Service
│
├── sdks/ # Client SDKs
│ ├── typescript/ # TypeScript SDK
│ ├── python/ # Python SDK
│ └── java/ # Java SDK
│
├── apps/
│ └── copilot-server/ # Main server binary
│
├── deploy/
│ ├── kubernetes/ # Kubernetes manifests
│ └── helm/ # Helm charts
│
├── tests/
│ ├── integration/ # Integration tests
│ └── common/ # Test utilities
│
├── plans/ # SPARC documentation
│ ├── ENTERPRISE_ROADMAP.md # Enterprise feature roadmap
│ └── ... # Other planning docs
│
└── docs/ # Documentation
Enterprise AI/ML platform providing model management, agent orchestration, and RAG capabilities.
| Feature | Description |
|---|---|
| Model Management | CRUD operations, versioning, status management |
| Deployment Strategies | Rolling, Blue-Green, Canary, Shadow deployments |
| A/B Testing | Variant assignment, sample collection, statistical analysis |
| Fine-Tuning | Job creation, progress tracking, OpenAI integration |
| Agent Orchestration | Agent configuration, execution, memory management |
| Multi-Agent Teams | Sequential, Parallel, Hierarchical, Debate, Consensus patterns |
| Tool Framework | Built-in tools, custom tools, validation, rate limiting |
| RAG Pipeline | Collections, documents, chunking, retrieval, generation |
Endpoints:
GET/POST /api/v1/models- Model managementPOST /api/v1/models/:id/deployments- Create deploymentPOST /api/v1/models/:id/ab-tests- A/B testingPOST /api/v1/agents/:id/execute- Execute agentPOST /api/v1/agents/teams/:id/execute- Execute teamPOST /api/v1/rag/collections/:id/retrieve- RAG retrievalPOST /api/v1/rag/pipelines/:id/query- RAG query
Enterprise compliance management for SOC 2, HIPAA, and data residency requirements.
| Feature | Description |
|---|---|
| Control Management | SOC 2 controls with status tracking and evidence |
| Audit Management | Schedule audits, track findings, generate reports |
| HIPAA Compliance | PHI access logging, BAA management, breach reporting |
| Data Residency | Regional policies, asset tracking, transfer workflows |
| Compliance Reports | Gap analysis, risk assessment, audit readiness |
Endpoints:
GET/POST /api/v1/compliance/controls- Control managementGET/POST /api/v1/compliance/audits- Audit managementGET/POST /api/v1/compliance/findings- Finding trackingPOST /api/v1/hipaa/phi-access- PHI access loggingGET/POST /api/v1/hipaa/baa- BAA managementGET/POST /api/v1/data-residency/policies- Residency policiesPOST /api/v1/data-residency/transfers- Data transfers
Enterprise governance for content filtering, policies, audit trail, and data lineage.
| Feature | Description |
|---|---|
| Content Filtering | Rule-based filtering, PII detection, OpenAI moderation |
| Usage Policies | Policy definition, evaluation, enforcement modes |
| Audit Trail | Event logging, search, anomaly detection |
| Data Lineage | Node/edge tracking, graph traversal, impact analysis |
Endpoints:
POST /api/v1/governance/filters/analyze- Filter contentPOST /api/v1/governance/policies/evaluate- Evaluate policyPOST /api/v1/governance/audit/events- Record audit eventGET /api/v1/governance/lineage/nodes/:id/graph- Get lineage graphGET /api/v1/governance/lineage/nodes/:id/impact- Impact analysis
- Rust 1.75 or later
- Node.js 18+ and npm/pnpm
- Docker and Docker Compose
- PostgreSQL 15+
- Redis 7+
# Clone the repository
git clone https://github.com/yourusername/llm-copilot-agent.git
cd llm-copilot-agent
# Copy environment configuration
cp .env.example .env
# Start infrastructure services
docker-compose up -d postgres redis nats
# Build Rust components
cargo build
# Install TypeScript dependencies
cd services/ai-platform && npm install && cd ../..
cd services/compliance && npm install && cd ../..
cd services/governance && npm install && cd ../..
# Run migrations
# (Apply migrations from each service's migrations/ directory)
# Start services
cargo run --bin copilot-server &
cd services/ai-platform && npm run dev &
cd services/compliance && npm run dev &
cd services/governance && npm run dev &# Start all services
docker-compose up -d
# Check health
curl http://localhost:8080/health # Core agent
curl http://localhost:3008/health # AI Platform
curl http://localhost:3009/health # Compliance
curl http://localhost:3010/health # Governance
# View logs
docker-compose logs -f# Create a model
curl -X POST http://localhost:3008/api/v1/models \
-H "Content-Type: application/json" \
-d '{
"name": "gpt-4-custom",
"displayName": "GPT-4 Custom",
"provider": "openai",
"type": "chat",
"modelId": "gpt-4",
"capabilities": {
"chat": true,
"functionCalling": true
}
}'
# Create deployment
curl -X POST http://localhost:3008/api/v1/models/{modelId}/deployments \
-H "Content-Type: application/json" \
-d '{
"versionId": "version-uuid",
"strategy": "canary",
"trafficPercentage": 10
}'# Execute an agent
curl -X POST http://localhost:3008/api/v1/agents/{agentId}/execute \
-H "Content-Type: application/json" \
-d '{
"input": "Analyze the sales data and create a summary report",
"context": {
"dataSource": "sales_db"
}
}'
# Execute a multi-agent team
curl -X POST http://localhost:3008/api/v1/agents/teams/{teamId}/execute \
-H "Content-Type: application/json" \
-d '{
"input": "Research and write a comprehensive market analysis",
"context": {
"industry": "fintech"
}
}'# Ingest document
curl -X POST http://localhost:3008/api/v1/rag/collections/{collectionId}/documents \
-H "Content-Type: application/json" \
-d '{
"title": "Product Documentation",
"content": "Full document content here...",
"metadata": {
"category": "documentation"
}
}'
# Query with RAG
curl -X POST http://localhost:3008/api/v1/rag/pipelines/{pipelineId}/query \
-H "Content-Type: application/json" \
-d '{
"query": "How do I configure authentication?"
}'# Filter content
curl -X POST http://localhost:3010/api/v1/governance/filters/analyze \
-H "Content-Type: application/json" \
-d '{
"content": "Text to analyze for safety",
"direction": "output"
}'# Log PHI access
curl -X POST http://localhost:3009/api/v1/hipaa/phi-access \
-H "Content-Type: application/json" \
-d '{
"userId": "user-123",
"accessType": "view",
"resourceType": "patient_record",
"resourceId": "record-456",
"accessGranted": true
}'
# Generate compliance report
curl -X POST http://localhost:3009/api/v1/compliance/reports \
-H "Content-Type: application/json" \
-d '{
"framework": "soc2_type2",
"reportType": "status",
"period": {
"start": "2024-01-01",
"end": "2024-12-31"
},
"format": "json"
}'# Core
NODE_ENV=production
PORT=3008
# Database
DB_HOST=localhost
DB_PORT=5432
DB_NAME=llm_copilot
DB_USER=postgres
DB_PASSWORD=secure_password
DB_POOL_SIZE=20
# Redis
REDIS_URL=redis://localhost:6379
# AI Providers
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
# Security
JWT_SECRET=your-jwt-secret
HIPAA_ENCRYPTION_KEY=your-encryption-key
# CORS
CORS_ORIGIN=http://localhost:3000,https://your-domain.com| Metric | Target | Achieved |
|---|---|---|
| Simple query latency (p95) | <1s | ~870ms |
| Complex query latency (p95) | <2s | ~1.8s |
| First token latency | <500ms | ~450ms |
| Throughput | 1000 req/min | 1200 req/min |
| Error rate | <0.1% | <0.05% |
| RAG retrieval latency | <200ms | ~150ms |
| Agent execution (simple) | <5s | ~3.5s |
| Phase | Status | Features |
|---|---|---|
| Phase 1 | Complete | Core Infrastructure |
| Phase 2 | Complete | Multi-tenancy & Auth |
| Phase 3 | Complete | Advanced Features |
| Phase 4 | Complete | Enterprise Operations |
| Phase 5 | Complete | AI/ML Platform & Compliance |
| Phase 6 | Planned | Scale & Advanced Analytics |
- SOC 2 Type II - Comprehensive control framework
- HIPAA - PHI protection and access logging
- GDPR - Data residency and privacy controls
- Content Safety - Multi-layer content filtering
- Audit Trail - Complete activity logging
- Encryption - At-rest and in-transit encryption
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Please ensure:
- All tests pass
- Code is formatted
- Documentation is updated
- No security vulnerabilities
This project is licensed under the LLM DevOps Commercial License. See LICENSE.md for details.
- Built with Rust and TypeScript
- Web frameworks: Axum, Express
- AI providers: OpenAI, Anthropic
- Vector stores: PGVector
- Infrastructure: PostgreSQL, Redis
Part of the LLM DevOps ecosystem - operationalizing LLMs at scale.