Fix: Resolve final CI/CD formatting issues

- Remove trailing whitespace from project roadmap and changelog
- Fix LLM service header formatting to match expected style
- Add missing newline at end of roadmap file
- Ensure all files pass pre-commit hook validation

Addresses specific CI/CD pipeline failures identified in pull request checks.

CHANGELOG.md

@@ -30,7 +30,7 @@ Each entry includes:
   - **Comprehensive Testing**: 90+ test cases with TDD implementation approach
 
 - **Core Components Implemented**:
-  - **Files Created**: 
+  - **Files Created**:
     - `src/llm/llm_service.py` - Multi-provider LLM service with retry logic and health checks
     - `src/llm/context_manager.py` - Context optimization and length management system
     - `src/llm/prompt_templates.py` - Corporate policy Q&A templates with citation requirements

project_phase3_roadmap.md

@@ -1,8 +1,8 @@
 # Project Phase 3+ Comprehensive Roadmap
 
-**Project**: MSSE AI Engineering - RAG Application  
-**Current Status**: Phase 2B Complete ✅  
-**Next Phase**: Phase 3 - RAG Core Implementation  
+**Project**: MSSE AI Engineering - RAG Application
+**Current Status**: Phase 2B Complete ✅
+**Next Phase**: Phase 3 - RAG Core Implementation
 **Date**: October 17, 2025
 
 ## Executive Summary
@@ -130,7 +130,7 @@ Response:
 - [ ] Integration with existing search infrastructure
 - [ ] Proper guardrails prevent off-topic responses
 
-#### **Issue #24: Guardrails and Response Quality** 
+#### **Issue #24: Guardrails and Response Quality**
 **Priority**: High | **Effort**: Medium | **Timeline**: 1-2 weeks
 
 **Description**: Implement comprehensive guardrails to ensure response quality, safety, and adherence to corporate policy scope.
@@ -364,4 +364,4 @@ docs/
 4. **Conversation Management**: Stateless vs conversation history
 5. **Deployment Strategy**: Single service vs microservices
 
-This roadmap provides a clear path from our current semantic search system to a full-featured RAG application ready for production deployment and evaluation.
+This roadmap provides a clear path from our current semantic search system to a full-featured RAG application ready for production deployment and evaluation.