v1.0.0 - Initial Official Release

FailSafe v1.0.0 - AI-Powered Fact-Checking System
We are thrilled to announce the first official release of FailSafe, an autonomous anti-misinformation system leveraging Multi-Agent LLMs and Structured Argumentation Graphs (SAG).

Key Features
Multi-Stage Pipeline: Implements a transparent 4-layer architecture (Screening -> Decomposition -> Retrieval -> Verification).
Structured Argumentation Graph (SAG): Breaks down complex texts into atomic, verifiable claims using JSON-LD.
Hybrid Retrieval (RAG): Combines local Vector Knowledge Base (ChromaDB) with real-time Deep Web Search (Serper/Google).
AI Council Verification: Uses a consensus mechanism with specialized agents (Logician, Researcher, Skeptic) to minimize hallucinations.
Async Processing: Built on Flask + Celery + Redis for high-performance asynchronous task handling.

Technical Improvements
CI/CD Pipeline: Added GitHub Actions workflow (python-tests.yml) for automated testing on every push.
Unit Tests: Implemented initial test suite for Decompose and Utils modules using pytest.
Documentation: Comprehensive README.mdwith architecture diagrams and setup guides.
Standardization: Added LICENSE (MIT), CONTRIBUTING.md, and clean requirements.txt

Acknowledgements
Special thanks to the Loki project for their inspiring architectural framework.

Full Changelog: https://github.com/Amin7410/FailSafe-AI-Powered-Fact-Checking-System/commits/v1.0.0