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SaralPolicy Status

Last Updated: 2026-01-03
Current Status: 🟢 POC / Demo (Remediation Complete)

Status Overview

SaralPolicy is a proof-of-concept / demo system. All 26 production engineering issues have been resolved. The system is ready for POC validation and user testing.

🎉 Remediation Complete

Phase Completed Total Status
Critical 6 6 100% ✅
High 11 11 100% ✅
Medium 9 9 100% ✅
Total 26 26 100% ✅

✅ What's Working

Core Functionality

  • ✅ Document parsing (PDF, DOCX, TXT)
  • ✅ RAG system with IRDAI knowledge base
  • ✅ Local LLM integration (Ollama + Gemma 2 2B)
  • ✅ Hybrid search (BM25 + Vector)
  • ✅ Advanced guardrails and PII protection
  • ✅ HITL system with database persistence
  • ✅ Input validation and size limits
  • ✅ Secure temp file handling

OSS Frameworks (2026-01-03)

  • ✅ RAGAS Evaluation: RAG pipeline evaluation with Ollama (no API keys)
  • ✅ Huey Task Queue: Background processing with SQLite (no Redis)
  • ✅ OpenTelemetry: Metrics and tracing (local export, no cloud)
  • ✅ Indic Parler-TTS: High-quality Hindi neural TTS (Apache 2.0, 0.9B params)

Architecture Improvements (2026-01-03)

  • ✅ ServiceContainer: Dependency injection pattern
  • ✅ Factory Functions: No module-level instantiation
  • ✅ Graceful Degradation: Fallback modes when services unavailable
  • ✅ Prompt Registry: Versioned prompts with regression tests

Documentation & Testing

  • ✅ 197 tests passing across all test suites
  • ✅ Algorithm complexity documented (Big-O)
  • ✅ Magic values documented with rationale
  • ✅ ThreadPoolExecutor usage justified
  • ✅ Data structure choices documented

📊 Test Coverage

Current State:

  • 197 tests across multiple test suites
  • Error path tests (22 tests)
  • Security tests (16 tests)
  • Integration tests (16 tests)
  • OSS framework tests (28 tests)
  • Prompt regression tests (24 tests)
  • Hallucination detection tests (18 tests)

Test Command:

cd backend
python -m pytest tests/ -v

🏗️ OSS Framework Strategy

Design Principles

  • Local-First: All frameworks work 100% locally
  • No API Keys: Zero external API requirements
  • Graceful Fallback: Built-in fallbacks when dependencies not installed
  • Actively Maintained: Only OSS with strong community support

Implemented Frameworks

Service Framework License Purpose
RAGEvaluationService RAGAS Apache 2.0 RAG evaluation
TaskQueueService Huey MIT Background tasks
ObservabilityService OpenTelemetry Apache 2.0 Metrics/tracing
IndicParlerEngine Indic Parler-TTS Apache 2.0 Hindi neural TTS

Optional Installation

# All optional - services work without these
pip install ragas datasets langchain-community  # Evaluation
pip install huey                                 # Task queue
pip install opentelemetry-api opentelemetry-sdk # Observability

🚀 Future Enhancements

The following are optional enhancements for future development:

Evaluation

  • RAGAS context recall with ground truth dataset
  • A/B testing for prompt versions
  • Evaluation dashboards

Observability

  • Prometheus exporter
  • Grafana dashboards
  • Alerting rules

Task Queue

  • Redis backend for high volume
  • Task scheduling (cron-like)
  • Task chaining/workflows

Testing

  • Performance benchmarking
  • Load testing
  • Chaos engineering

📚 Documentation

For questions or contributions, see: CONTRIBUTING.md