Roadmap
Our vision is to make llm-contracts the industry standard for LLM output validation. Here’s what we’re building next:
Version 1.0.0 - Released July 2025 🎉
Core Foundation - COMPLETED
- Schema-Based Validation - Complete structure and type validation
- Text Linting Rules - Content quality checks (keywords, patterns, word count, tone)
- Professional Reports - HTML and Markdown generation with detailed results
- CLI Interface - Command-line validation and reporting tools
- Python SDK - Programmatic API for integration
- Web Frontend - Interactive validation interface
- PyPI Distribution - Easy installation via
pip install llm-contracts - Comprehensive Documentation - GitHub Pages site with examples and guides
Version 1.1.0 - Q4 2025
Enhanced Contract Types
- PII Detection - Automatically detect and flag personally identifiable information
- Sentiment Analysis - Validate emotional tone and brand compliance
- Toxicity Filtering - Block harmful, offensive, or inappropriate content
- Fact Checking - Cross-reference claims against knowledge bases
- Language Detection - Ensure output is in the expected language
Smart Retry Logic
- Automatic Retry - Configurable retry attempts for failed validations
- Progressive Backoff - Intelligent retry timing to avoid rate limits
- Fallback Strategies - Use alternative models when primary fails
- Circuit Breaker - Prevent cascade failures in production systems
Version 1.2.0 - Q1 2026
Framework Integrations
- LangChain Integration - Native llm-contracts validator for LangChain pipelines
- FastAPI Plugin - Automatic validation middleware for FastAPI applications
- Flask Extension - Easy integration with Flask web applications
- Django Integration - Model validators and middleware for Django projects
- Streamlit Components - UI components for Streamlit AI applications
Performance Optimizations
- Async Validation - Non-blocking validation for high-throughput applications
- Batch Processing - Validate multiple outputs simultaneously
- Caching Layer - Cache validation results for repeated patterns
- Memory Optimization - Reduced memory footprint for large-scale deployments
Version 1.3.0 - Q2 2026
Enterprise Features
- Multi-tenancy - Separate validation rules and reporting for different teams/clients
- Role-based Access - Fine-grained permissions for validation rules and reports
- Audit Trail - Complete history of validation results and rule changes
- SLA Monitoring - Track validation performance and reliability metrics
Advanced Output Formats
- JSON Schema Export - Convert validation rules to JSON Schema format
- OpenAPI Integration - Generate API documentation with validation constraints
- PDF Reports - Professional PDF validation reports for compliance
- CSV/Excel Export - Tabular data export for analysis and reporting
Version 1.4.0 - Q3 2026
Cloud Integrations
- AWS Integration - Lambda functions, S3 storage, CloudWatch monitoring
- Google Cloud Platform - Cloud Functions, Cloud Storage, Cloud Monitoring
- Azure Integration - Azure Functions, Blob Storage, Application Insights
- Kubernetes Deployment - Helm charts and operators for K8s deployments
CI/CD Support
- GitHub Actions - Pre-built actions for validation in CI/CD pipelines
- GitLab CI Integration - Native GitLab CI/CD pipeline support
- Jenkins Plugin - Jenkins build step for validation
- Pre-commit Hooks - Validate AI outputs before code commits
Version 1.5.0 - Q4 2026
Visual Schema Builder 2.0
- Drag-and-Drop Interface - Visual rule builder with no coding required
- Template Gallery - Pre-built validation templates for common use cases
- Collaboration Features - Team-based rule creation and management
- Version Control - Track changes to validation rules over time
Monitoring & Alerting
- Real-time Dashboard - Live validation metrics and performance monitoring
- Smart Alerting - Intelligent alerts based on validation patterns and failures
- Integration Hub - Connect with Slack, PagerDuty, DataDog, and other tools
- Custom Metrics - Define and track custom validation success metrics
Future Vision (2027+)
Advanced AI Features
- Self-Improving Rules - ML-based rule optimization based on validation patterns
- Anomaly Detection - Automatically detect unusual patterns in LLM outputs
- Predictive Validation - Predict likely validation failures before they occur
- Intelligent Suggestions - AI-powered recommendations for rule improvements
Enterprise Platform
- Multi-cloud Deployment - Deploy across multiple cloud providers simultaneously
- Global Edge Network - Low-latency validation from edge locations worldwide
- Enterprise SSO - Integration with enterprise identity providers
- Custom Compliance - Industry-specific compliance frameworks (HIPAA, SOX, GDPR)
Release Schedule
| Version | Target Date | Focus Area |
|---|---|---|
| 1.0.0 | ✅ July 2025 | Core foundation & PyPI release |
| 1.1.0 | Q4 2025 | Enhanced validation types & retry logic |
| 1.2.0 | Q1 2026 | Framework integrations & performance |
| 1.3.0 | Q2 2026 | Enterprise features & output formats |
| 1.4.0 | Q3 2026 | Cloud integrations & CI/CD |
| 1.5.0 | Q4 2026 | Visual tools & monitoring |
Dates are estimates and may adjust based on community feedback and development priorities.
Suggest a Feature
Have an idea that’s not on this roadmap? We’d love to hear from you!
- Open an Issue with your feature request
- Join the Discussion on our community forum
- Contact the Team - Mohamed Jama
This roadmap represents our current vision and may evolve based on community needs, technical discoveries, and industry developments.
Last updated: July 2025