Roadmap

Our vision for TONL-MCP Bridge: Production-grade infrastructure for LLM token optimization with measurable ROI.

Current Version: v1.0.0

Released: December 2025

Status: Production Ready

Highlights:

✅ Streaming Pipeline (250,000 lines/second)
✅ Privacy & Smart Masking (GDPR/HIPAA)
✅ Live Monitoring Dashboard (tonl top)
✅ Health Check Endpoints (Kubernetes/Docker)
✅ Security (Rate Limiting, Helmet)
✅ Prometheus Metrics & Grafana Dashboards
✅ Vector Database Adapters (Milvus, Qdrant, ChromaDB)
✅ MCP Server (HTTP/SSE, Auth, Graceful Shutdown)
✅ 377 Tests Passing
✅ Full TypeScript Support

What's New in v1.0.0

Streaming Pipeline

Status: RELEASED

Real-time NDJSON to TONL conversion with production-grade performance:

Features:

250,000 lines/second throughput
Constant memory usage (independent of file size)
HTTP endpoint: POST /stream/convert
Backpressure handling
Error recovery with skipInvalid
47% compression ratio maintained

Use Cases:

Docker container logs
Kubernetes event streams
Nginx access logs
Application event processing
Real-time analytics pipelines

bash

curl -X POST http://localhost:3000/stream/convert \
  -H "Content-Type: application/x-ndjson" \
  --data-binary @logs.ndjson

Privacy & Anonymization

Status: RELEASED

Enterprise-grade data protection with smart masking:

Features:

Smart masking (email, SSN, credit card, phone)
Nested object support with dot-notation
Deep cloning (no side effects)
GDPR and HIPAA compliance ready
24 comprehensive tests

Masking Patterns:

Email: a***@example.com
SSN: ***-**-6789
Credit Card: ****-****-****-9010
Phone: ***-***-4567
Generic: first***last

typescript

const masked = jsonToTonl(data, 'users', {
  anonymize: ['email', 'ssn', 'card'],
  mask: true
});

Live Monitoring

Status: RELEASED

Real-time metrics dashboard for production monitoring:

Features:

tonl top command for live monitoring
Token savings visualization with sparklines
Response time histograms
Memory and connection tracking
Auto-refresh (2 second interval)
Keyboard shortcuts (q, r, c)
Remote server support

bash

# Monitor local server
tonl top

# Monitor production
tonl top --url https://api.production.com

Production Infrastructure

Status: RELEASED

Enterprise-ready deployment features:

Health Checks:

/health - Liveness probe (< 1ms response)
/ready - Readiness probe
Kubernetes and Docker compatible
No external dependencies

Security:

Rate limiting (100 req/15min per IP)
Security headers via Helmet
Bearer token authentication
CORS and CSP protection

Observability:

Prometheus metrics (/metrics)
Live metrics stream (/metrics/live)
Grafana dashboard templates
Business and operational KPIs

Graceful Shutdown:

SIGTERM/SIGINT handling
30-second connection draining
Clean exit for zero-downtime deployments

yaml

# Kubernetes deployment
livenessProbe:
  httpGet:
    path: /health
    port: 3000
readinessProbe:
  httpGet:
    path: /ready
    port: 3000

Vector Database Adapters

Status: RELEASED

Production-ready integrations for enterprise vector databases:

Milvus:

Automatic TONL conversion
Token statistics with each search
Batch operations
Index management

Qdrant:

Hybrid search (vector + keyword)
Collection discovery
Scroll API support
Metadata filtering

ChromaDB:

Native collection support
Similarity search
Metadata queries
Local and cloud deployments

typescript

import { MilvusAdapter } from 'tonl-mcp-bridge/sdk/vector';

const result = await milvus.searchToTonl(
  'documents',
  embedding,
  { limit: 10 }
);

console.log(`Saved ${result.stats.savingsPercent}% tokens`);

Post v1.0.0 Roadmap

v1.1.0 - Framework Integration (Q1 2026)

LangChain Integration

Native TONL support in LangChain.js
Document loaders with automatic conversion
RAG chain templates
Token optimization middleware

LlamaIndex Plugin

TONL document store
Query engine integration
Response synthesis with TONL
Index optimization

Status: Planning

v1.2.0 - Developer Experience (Q2 2026)

VS Code Extension

Syntax highlighting for TONL
JSON ↔ TONL conversion in editor
Token savings inline display
Format validation

Serverless Templates

AWS Lambda deployment
Cloudflare Workers support
Vercel Edge Functions
Google Cloud Functions

Status: Design Phase

v2.0.0 - AI-Native Features (Q3 2026)

Adaptive Formatting

Model-specific optimization (GPT vs Claude)
Context-aware sampling
Dynamic schema inference
Smart type selection

Enhanced Vector Search

Multi-vector search
Hybrid search algorithms
Cross-database queries
Federated search

Advanced Analytics

Real-time cost dashboards
Predictive optimization
Anomaly detection
Custom reporting

Status: Research

Community Priorities

Based on GitHub issues and user feedback, top requests:

High Demand (Implementing Soon)

Redis Adapter - Ultra-fast caching (9.5x faster than pgvector)
MongoDB Atlas - Unified platform for data and vectors
LangChain Integration - Industry standard RAG framework
ROI Calculator - Executive dashboard with cost projections
Pinecone Adapter - Market-leading managed vector DB
LlamaIndex Integration - Advanced RAG capabilities

Medium Demand

Weaviate Adapter - Open-source vector database
Additional Adapters - Community requests
GraphQL API - Alternative to REST
Enhanced Monitoring - Custom metrics and alerts

Emerging Needs

Multi-modal Support - Images + text processing
Distributed Tracing - OpenTelemetry spans
Edge Computing - Cloudflare/Vercel deployments
Compliance Certifications - SOC2, ISO 27001

Deprecation Policy

Semantic Versioning:

Major (v2.0.0): Breaking changes allowed
Minor (v1.1.0): New features, backward compatible
Patch (v1.0.1): Bug fixes only

Deprecation Timeline:

Deprecation notice: 6 months before removal
Warning logs: 3 months before removal
Removal: Next major version

Current Deprecations: None

Contributing

We welcome contributions in priority areas:

Good First Issues:

Add Redis adapter
Improve error messages
Write examples
Add benchmarks

Research Priorities:

Adaptive formatting effectiveness
Model-specific optimizations
Hybrid search patterns
Multi-modal TONL format

How to Contribute:

Check GitHub Issues
Comment on issues you're interested in
Submit PRs with tests
Follow contribution guidelines

Long-Term Vision

Mission

Make TONL the standard format for LLM-database communication in production systems.

Success Metrics

Adoption:

10,000+ npm downloads/month
100+ production deployments
5+ framework integrations

Quality:

95%+ test coverage
< 5 open critical bugs
< 1 day average issue response time

Performance:

< 1ms p99 latency for conversions
60%+ average token savings
Zero memory leaks in production

Community:

Active Discord/Slack community
Regular contributor meetups
Conference talks and workshops

Feedback & Requests

Provide Feedback:

Stay Updated:

Release Schedule

Version	Target	Focus	Status
v0.9.0	Nov 2025	MCP Server, Docker, Privacy	✅ Released
v1.0.0	Dec 2025	Streaming, Security, Monitoring	✅ Released
v1.1.0	Q1 2026	Framework integration	📋 Planned
v1.2.0	Q2 2026	Developer experience	📋 Planned
v2.0.0	Q3 2026	AI-native features	💭 Vision

Commitment to Quality

v1.0.0 Guarantees:

Semantic versioning
No breaking changes in minor releases
Clear migration guides for major versions
6+ month deprecation notices
Production support and bug fixes
Security patches within 24 hours

Support Channels:

GitHub Issues (bugs, features)
GitHub Discussions (questions, ideas)
Discord (community chat)
Email (enterprise support)

Last updated: December 6, 2025

Roadmap based on production feedback, community requests, and 2026 AI/LLM market analysis

Roadmap ​

Current Version: v1.0.0 ​

What's New in v1.0.0 ​

Streaming Pipeline ​

Privacy & Anonymization ​

Live Monitoring ​

Production Infrastructure ​

Vector Database Adapters ​

Post v1.0.0 Roadmap ​

v1.1.0 - Framework Integration (Q1 2026) ​

v1.2.0 - Developer Experience (Q2 2026) ​

v2.0.0 - AI-Native Features (Q3 2026) ​

Community Priorities ​

High Demand (Implementing Soon) ​

Medium Demand ​

Emerging Needs ​

Deprecation Policy ​

Contributing ​

Long-Term Vision ​

Mission ​

Success Metrics ​

Feedback & Requests ​

Release Schedule ​

Commitment to Quality ​

Roadmap

Current Version: v1.0.0

What's New in v1.0.0

Streaming Pipeline

Privacy & Anonymization

Live Monitoring

Production Infrastructure

Vector Database Adapters

Post v1.0.0 Roadmap

v1.1.0 - Framework Integration (Q1 2026)

v1.2.0 - Developer Experience (Q2 2026)

v2.0.0 - AI-Native Features (Q3 2026)

Community Priorities

High Demand (Implementing Soon)

Medium Demand

Emerging Needs

Deprecation Policy

Contributing

Long-Term Vision

Mission

Success Metrics

Feedback & Requests

Release Schedule

Commitment to Quality