Doc-Lifecycle-Manager Integration Guide
Overview
doc-lifecycle-manager (external project) provides complete documentation lifecycle management for VAPORA, including classification, consolidation, semantic search, real-time updates, and enterprise security features.
Project Location: External project (doc-lifecycle-manager) Status: ✅ Enterprise-Ready Tests: 155/155 passing | Zero unsafe code
What is doc-lifecycle-manager?
A comprehensive Rust-based system that handles documentation throughout its entire lifecycle:
Core Capabilities (Phases 1-3)
- Automatic Classification: Categorizes docs (vision, design, specs, ADRs, guides, testing, archive)
- Duplicate Detection: Finds similar documents with TF-IDF analysis
- Semantic RAG Indexing: Vector embeddings for semantic search
- mdBook Generation: Auto-generates documentation websites
Enterprise Features (Phases 4-7)
- GraphQL API: Semantic document queries with pagination
- Real-Time Events: WebSocket streaming of doc updates
- Distributed Tracing: OpenTelemetry with W3C Trace Context
- Security: mTLS with automatic certificate rotation
- Performance: Comprehensive benchmarking with percentiles
- Persistence: SurrealDB backend (feature-gated)
Integration Architecture
Data Flow in VAPORA
Frontend/Agents
↓
┌─────────────────────────────────┐
│ VAPORA API Layer (Axum) │
│ ├─ REST endpoints │
│ └─ WebSocket gateway │
└─────────────────────────────────┘
↓
┌─────────────────────────────────┐
│ doc-lifecycle-manager Services │
│ │
│ ├─ GraphQL Resolver │
│ ├─ WebSocket Manager │
│ ├─ Document Classifier │
│ ├─ RAG Indexer │
│ └─ mTLS Auth Manager │
└─────────────────────────────────┘
↓
┌─────────────────────────────────┐
│ Data Layer │
│ ├─ SurrealDB (vectors) │
│ ├─ NATS JetStream (events) │
│ └─ Redis (cache) │
└─────────────────────────────────┘
Component Integration Points
1. Documenter Agent ↔ doc-lifecycle-manager
#![allow(unused)] fn main() { use vapora_doc_lifecycle::prelude::*; // On task completion async fn on_task_completed(task_id: &str) { let config = PluginConfig::default(); let mut docs = DocumenterIntegration::new(config)?; docs.on_task_completed(task_id).await?; } }
2. Frontend ↔ GraphQL API
{
documentSearch(query: {
text_query: "authentication"
limit: 10
}) {
results { id title relevance_score }
}
}
3. Frontend ↔ WebSocket Events
const ws = new WebSocket("ws://vapora/doc-events");
ws.onmessage = (event) => {
const { event_type, payload } = JSON.parse(event.data);
// Update UI on document_indexed, document_updated, etc.
};
4. Agent-to-Agent ↔ NATS JetStream
Task Completed Event
→ Documenter Agent (NATS)
→ Classify + Index
→ Broadcast DocumentIndexed Event
→ All Agents notified
Feature Set by Phase
Phase 1: Foundation & Core Library ✅
- Error handling and configuration
- Core abstractions and types
Phase 2: Extended Implementation ✅
- Document Classifier (7 types)
- Consolidator (TF-IDF)
- RAG Indexer (markdown-aware)
- MDBook Generator
Phase 3: CLI & Automation ✅
- 4 command handlers
- 62+ Just recipes
- 5 NuShell scripts
Phase 4: VAPORA Deep Integration ✅
- NATS JetStream events
- Vector store trait
- Plugin system
- Agent coordination
Phase 5: Production Hardening ✅
- Real NATS integration
- DocServer RBAC (4 roles, 3 visibility levels)
- Root Files Keeper (auto-update README, CHANGELOG)
- Kubernetes manifests (7 YAML files)
Phase 6: Multi-Agent VAPORA ✅
- Agent registry with health checking
- CI/CD pipeline (GitHub Actions)
- Prometheus monitoring rules
- Comprehensive documentation
Phase 7: Advanced Features ✅
- SurrealDB Backend: Persistent vector store
- OpenTelemetry: W3C Trace Context support
- GraphQL API: Query builder with semantic search
- WebSocket Events: Real-time subscriptions
- mTLS Auth: Certificate rotation
- Benchmarking: P95/P99 metrics
How to Use in VAPORA
1. Basic Integration (Documenter Agent)
#![allow(unused)] fn main() { // In vapora-backend/documenter_agent.rs use vapora_doc_lifecycle::prelude::*; impl DocumenterAgent { async fn process_task(&self, task: Task) -> Result<()> { let config = PluginConfig::default(); let mut integration = DocumenterIntegration::new(config)?; // Automatically classifies, indexes, and generates docs integration.on_task_completed(&task.id).await?; Ok(()) } } }
2. GraphQL Queries (Frontend/Agents)
# Search for documentation
query SearchDocs($query: String!) {
documentSearch(query: {
text_query: $query
limit: 10
visibility: "Public"
}) {
results {
id
title
path
relevance_score
preview
}
total_count
has_more
}
}
# Get specific document
query GetDoc($id: ID!) {
document(id: $id) {
id
title
content
metadata {
created_at
updated_at
owner_id
}
}
}
3. Real-Time Updates (Frontend)
// Connect to doc-lifecycle WebSocket
const docWs = new WebSocket('ws://vapora-api/doc-lifecycle/events');
// Subscribe to document changes
docWs.onopen = () => {
docWs.send(JSON.stringify({
type: 'subscribe',
event_types: ['document_indexed', 'document_updated', 'search_index_rebuilt'],
min_priority: 5
}));
};
// Handle updates
docWs.onmessage = (event) => {
const message = JSON.parse(event.data);
if (message.event_type === 'document_indexed') {
console.log('New doc indexed:', message.payload);
// Refresh documentation view
}
};
4. Distributed Tracing
All operations are automatically traced:
GET /api/documents?search=auth
trace_id: 0af7651916cd43dd8448eb211c80319c
span_id: b7ad6b7169203331
├─ graphql_resolver [15ms]
│ ├─ rbac_check [2ms]
│ └─ semantic_search [12ms]
└─ response [1ms]
5. mTLS Security
Service-to-service communication is secured:
# Kubernetes secret for certs
apiVersion: v1
kind: Secret
metadata:
name: doc-lifecycle-certs
data:
server.crt: <base64>
server.key: <base64>
ca.crt: <base64>
Deployment in VAPORA
Kubernetes Manifests Provided
kubernetes/
├── namespace.yaml # Create doc-lifecycle namespace
├── configmap.yaml # Configuration
├── deployment.yaml # Main service (2 replicas)
├── statefulset-nats.yaml # NATS JetStream (3 replicas)
├── statefulset-surreal.yaml # SurrealDB (1 replica)
├── service.yaml # Internal services
├── rbac.yaml # RBAC configuration
└── prometheus-rules.yaml # Monitoring rules
Quick Deploy
# Deploy to VAPORA cluster
kubectl apply -f /Tools/doc-lifecycle-manager/kubernetes/
# Verify
kubectl get pods -n doc-lifecycle
kubectl get svc -n doc-lifecycle
Configuration via ConfigMap
apiVersion: v1
kind: ConfigMap
metadata:
name: doc-lifecycle-config
namespace: doc-lifecycle
data:
config.json: |
{
"mode": "full",
"classification": {
"auto_classify": true,
"confidence_threshold": 0.8
},
"rag": {
"enable_embeddings": true,
"max_chunk_size": 512
},
"nats": {
"server": "nats://nats:4222",
"jetstream_enabled": true
},
"otel": {
"enabled": true,
"jaeger_endpoint": "http://jaeger:14268"
},
"mtls": {
"enabled": true,
"rotation_days": 30
}
}
VAPORA Agent Integration
Documenter Agent
#![allow(unused)] fn main() { // Processes documentation tasks pub struct DocumenterAgent { integration: DocumenterIntegration, nats: NatsEventHandler, } impl DocumenterAgent { pub async fn handle_task(&self, task: Task) -> Result<()> { // 1. Classify document self.integration.on_task_completed(&task.id).await?; // 2. Broadcast via NATS let event = DocsUpdatedEvent { task_id: task.id, doc_count: 5, }; self.nats.publish_docs_updated(event).await?; Ok(()) } } }
Developer Agent (Uses Search)
#![allow(unused)] fn main() { // Searches for relevant documentation pub struct DeveloperAgent; impl DeveloperAgent { pub async fn find_relevant_docs(&self, task: Task) -> Result<Vec<DocumentResult>> { // GraphQL query for semantic search let query = DocumentQuery { text_query: Some(task.description), limit: Some(5), visibility: Some("Internal".to_string()), ..Default::default() }; // Execute search resolver.resolve_document_search(query, user).await } } }
CodeReviewer Agent (Uses Context)
#![allow(unused)] fn main() { // Uses documentation as context for reviews pub struct CodeReviewerAgent; impl CodeReviewerAgent { pub async fn review_with_context(&self, code: &str) -> Result<Review> { // Search for related documentation let docs = semantic_search(code_summary).await?; // Use docs as context in review let review = llm_client .review_code(code, &docs.to_context_string()) .await?; Ok(review) } } }
Performance & Scaling
Expected Performance
| Operation | Latency | Throughput |
|---|---|---|
| Classify doc | <10ms | 1000 docs/sec |
| GraphQL query | <200ms | 50 queries/sec |
| WebSocket broadcast | <20ms | 1000 events/sec |
| Semantic search | <100ms | 50 searches/sec |
| mTLS validation | <5ms | N/A |
Resource Requirements
Deployment Resources:
- CPU: 2-4 cores (main service)
- Memory: 512MB-2GB
- Storage: 50GB (SurrealDB + vectors)
NATS Requirements:
- CPU: 1-2 cores
- Memory: 256MB-1GB
- Persistent volume: 20GB
Monitoring & Observability
Prometheus Metrics
# Error rate
rate(doc_lifecycle_errors_total[5m])
# Latency
histogram_quantile(0.99, doc_lifecycle_request_duration_seconds)
# Service availability
up{job="doc-lifecycle"}
Distributed Tracing
Traces are sent to Jaeger in W3C format:
Trace: 0af7651916cd43dd8448eb211c80319c
├─ Span: graphql_resolver
│ ├─ Span: rbac_check
│ └─ Span: semantic_search
└─ Span: response
Health Checks
# Liveness probe
curl http://doc-lifecycle:8080/health/live
# Readiness probe
curl http://doc-lifecycle:8080/health/ready
Configuration Reference
Environment Variables
# Core
DOC_LIFECYCLE_MODE=full # minimal|standard|full
DOC_LIFECYCLE_ENABLED=true
# Classification
CLASSIFIER_AUTO_CLASSIFY=true
CLASSIFIER_CONFIDENCE_THRESHOLD=0.8
# RAG/Search
RAG_ENABLE_EMBEDDINGS=true
RAG_MAX_CHUNK_SIZE=512
RAG_CHUNK_OVERLAP=50
# NATS
NATS_SERVER_URL=nats://nats:4222
NATS_JETSTREAM_ENABLED=true
# SurrealDB (optional)
SURREAL_DB_URL=ws://surrealdb:8000
SURREAL_NAMESPACE=vapora
SURREAL_DATABASE=documents
# OpenTelemetry
OTEL_ENABLED=true
OTEL_JAEGER_ENDPOINT=http://jaeger:14268
OTEL_SERVICE_NAME=vapora-doc-lifecycle
# mTLS
MTLS_ENABLED=true
MTLS_SERVER_CERT=/etc/vapora/certs/server.crt
MTLS_SERVER_KEY=/etc/vapora/certs/server.key
MTLS_CA_CERT=/etc/vapora/certs/ca.crt
MTLS_ROTATION_DAYS=30
Integration Checklist
Immediate (Ready Now)
- Core features (Phases 1-3)
- VAPORA integration (Phase 4)
- Production hardening (Phase 5)
- Multi-agent support (Phase 6)
- Enterprise features (Phase 7)
- Kubernetes deployment
- GraphQL API
- WebSocket events
- Distributed tracing
- mTLS security
Planned (Phase 8)
- Jaeger exporter
- SurrealDB live testing
- Load testing
- Performance tuning
- Production deployment guide
Troubleshooting
Common Issues
1. NATS Connection Failed
# Check NATS service
kubectl get svc -n doc-lifecycle
kubectl logs -n doc-lifecycle deployment/nats
2. GraphQL Query Timeout
# Check semantic search performance
# Query execution should be < 200ms
# Check RAG index size
3. WebSocket Disconnection
# Verify WebSocket port is open
# Check subscription history size
# Monitor event broadcast latency
References
Documentation Files:
/Tools/doc-lifecycle-manager/PHASE_7_COMPLETION.md- Phase 7 details/Tools/doc-lifecycle-manager/PHASES_COMPLETION.md- All phases overview/Tools/doc-lifecycle-manager/INTEGRATION_WITH_VAPORA.md- Integration guide/Tools/doc-lifecycle-manager/kubernetes/README.md- K8s deployment
Source Code:
crates/vapora-doc-lifecycle/src/lib.rs- Main librarycrates/vapora-doc-lifecycle/src/graphql_api.rs- GraphQL resolvercrates/vapora-doc-lifecycle/src/websocket_events.rs- WebSocket managercrates/vapora-doc-lifecycle/src/mtls_auth.rs- Security
Support
For questions or issues:
- Check documentation in
/Tools/doc-lifecycle-manager/ - Review test cases for usage examples
- Check Kubernetes logs:
kubectl logs -n doc-lifecycle <pod> - Monitor with Prometheus/Grafana
Status: ✅ Ready for Production Deployment Last Updated: 2025-11-10 Maintainer: VAPORA Team