Docs: Fix technical inaccuracies in Action and Observation tables

Docs: Fully restore technical specifications and tables

Docs: Add live deployment links to README

Deploy: Restore Hugging Face metadata frontmatter

Deploy: Synchronize ports to 7860 and add Hugging Face Space metadata

Docs: Implement standalone project framing and Garbage Collection metaphor

Docs: Conceptual & technical README overhaul with Mermaid diagrams and deep metodologia

Docs: Detailed explanation of project architecture, grading, and operational workflow

Chore: Restore project name to ContextPrune across all configs

Docs: Simplify README to core technical specifications

Docs: Complete overhaul of README to reflect Enterprise Incident Operations features

Cleanup: remove experimental logs and temporary debug scripts

Upgrade RAG project with advanced Context Optimizer environment and baseline inference

Hyper-Optimization: Injected aggressive pruning prompts and fixed .env 404. Signal Extract score boosted from 0.10 -> 0.91.

Final Compliance check: Added HF_TOKEN variable placeholder for Hugging Face Space submission.

Compliance cleanup: Removed duplicate server entry and verified End-to-End [START]/[END] handshake.

Meta x Scaler FINAL AUDIT PASS: OpenEnv Spec 1.0, Signal Extract word count refinement, and strict [START]/[STEP]/[END] framing.

Meta x Scaler Compliance: Strict logging, Port 8000 sync, and mandatory env vars.

refactor: Migrate to Gemini 1.5 Flash exclusively for pruning and validation

docs: Finalize project name to ContextPrune for hackathon submission

feat: Implement Context-Pruning-Env with SQuAD dataset and GRPOTrainer support

Update README with Simple RAG GC instructions

Add simplified RAG GC and updated logic test

Update README with verification instructions and project details

Beginning of project

first commit