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Roadmap
Nick edited this page Mar 10, 2026
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Future enhancements planned for PATAS after successful pilot.
- Kafka/RabbitMQ consumer for real-time message processing
- Support for high-throughput message streams
- Automatic backpressure handling
- Web interface for viewing/editing rules
- Quick disable/enable for problematic rules
- Rule performance dashboards
- Moderator feedback interface
- Improved Unicode normalization
- Better emoji processing (preserve as tokens)
- RTL language support improvements
- Multilingual embeddings (BGE-M3, E5)
- Language-specific normalization
- Cross-language pattern detection
- Parallel evaluation across message shards
- Distributed evaluation for 10M+ messages
- Shard-aware rule evaluation
- Table partitioning by timestamp
- Read replicas for evaluation queries
- Optimized indexes for large datasets
- Automatic data retention policies
- Cold storage archiving
- Configurable TTL for messages
- Whitelist support for known patterns
- Context-aware risk scoring
- LLM-based false positive detection
- Shadow mode for partial traffic
- Comparison metrics (shadow vs active)
- Automatic promotion on improvement
- Moderator feedback API
- Automatic rule deprecation from feedback
- Pattern improvement from corrections
- Automatic threshold adjustment based on budget
- Smart batching for LLM calls
- Cost guard with auto-scaling
- Gradual rule rollout
- Canary deployments
- Automatic rollback on degradation
After Pilot (Month 1-2):
- P1 items based on pilot feedback
- Critical scaling optimizations (P2)
Post-Pilot (Month 3-6):
- Remaining P2 items
- P3 advanced features
Long-term:
- Continuous improvements based on production usage
- Community-driven enhancements
Roadmap items are prioritized based on:
- User feedback from pilot deployments
- Production requirements from large-scale deployments
- Community contributions
To request features or contribute, see GitHub Issues.