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msse-ai-engineering

616 kB

5 contributors

History: 77 commits

Tobias Pasquale

style: Fix line length in search service tests

1300b38 2 months ago

.github
ci: treat Render 'live' status as success in deploy polling (#7) 2 months ago
dev-tools
fix: Remove trailing whitespace and add end-of-file newlines 2 months ago
src
fix: Remove unused imports and fix line length for flake8 compliance 2 months ago
static
Implement initial Flask application with health check endpoint, basic HTML template, and styling; add unit tests for endpoints 2 months ago
synthetic_policies
Add new policies and guidelines for various operational areas (#9) 2 months ago
templates
Implement initial Flask application with health check endpoint, basic HTML template, and styling; add unit tests for endpoints 2 months ago
tests
style: Fix line length in search service tests 2 months ago
.dockerignore

174 Bytes

Add CI/CD workflow and Dockerfile for application deployment (#2) 2 months ago
.flake8

474 Bytes

Fix CI/CD formatting issues - final solution 2 months ago
.gitignore

462 Bytes

fix: Remove unused imports and fix line length for flake8 compliance 2 months ago
.pre-commit-config.yaml

510 Bytes

config: Add explicit line-length parameter to black pre-commit hook 2 months ago
CHANGELOG.md

72 kB

fix: Remove unused imports and fix line length for flake8 compliance 2 months ago
Dockerfile

668 Bytes

Add CI/CD workflow and Dockerfile for application deployment (#2) 2 months ago
ISSUE_24_IMPLEMENTATION_SUMMARY.md

8.42 kB

Complete Issue #24: Guardrails and Response Quality System✅ IMPLEMENTATION COMPLETE - All acceptance criteria met:🏗️ Core Architecture:- 6 comprehensive guardrails components- Main orchestrator system with validation pipeline - Enhanced RAG pipeline integration- Production-ready error handling🛡️ Safety & Quality Features:- Content safety filtering (PII, bias, inappropriate content)- Multi-dimensional quality scoring (relevance, completeness, coherence, source fidelity)- Automated source attribution and citation generation- Circuit breaker patterns and graceful degradation- Configurable thresholds and feature toggles🧪 Testing & Validation:- 13 comprehensive tests (100% pass rate)- Unit tests for all core components- Integration tests for enhanced pipeline- API endpoint testing with full mocking- Performance validated (<10ms response time)📁 Files Added:- src/guardrails/ (6 core components)- src/rag/enhanced_rag_pipeline.py- tests/test_guardrails/ (comprehensive test suite)- enhanced_app.py (demo Flask integration)- ISSUE_24_IMPLEMENTATION_SUMMARY.md🚀 Production Ready:- Backward compatible with existing RAG pipeline- Flexible configuration system- Comprehensive logging and monitoring- Horizontal scalability with stateless design- Full documentation and type hintsAll Issue #24 requirements exceeded. Ready for production deployment. 2 months ago
Makefile

1.78 kB

fix: Remove trailing whitespace and add end-of-file newlines 2 months ago
QUERY_EXPANSION_IMPLEMENTATION_SUMMARY.md

3.6 kB

fix: Remove unused imports and fix line length for flake8 compliance 2 months ago
README.md

33.1 kB

fix: Remove unused imports and fix line length for flake8 compliance 2 months ago
app.py

11.5 kB

Fix: Complete CI/CD formatting compliance 2 months ago
copilot-instructions.md

3.53 kB

Add initial project files including README, .gitignore, and project documentation 2 months ago
deployed.md

133 Bytes

Update deployment documentation and validate CI/CD checks (#6) 2 months ago
design-and-evaluation.md

125 Bytes

Add initial project files including README, .gitignore, and project documentation 2 months ago
dev-requirements.txt

60 Bytes

Add CI/CD workflow and Dockerfile for application deployment (#2) 2 months ago
enhanced_app.py

10 kB

Complete Issue #24: Guardrails and Response Quality System✅ IMPLEMENTATION COMPLETE - All acceptance criteria met:🏗️ Core Architecture:- 6 comprehensive guardrails components- Main orchestrator system with validation pipeline - Enhanced RAG pipeline integration- Production-ready error handling🛡️ Safety & Quality Features:- Content safety filtering (PII, bias, inappropriate content)- Multi-dimensional quality scoring (relevance, completeness, coherence, source fidelity)- Automated source attribution and citation generation- Circuit breaker patterns and graceful degradation- Configurable thresholds and feature toggles🧪 Testing & Validation:- 13 comprehensive tests (100% pass rate)- Unit tests for all core components- Integration tests for enhanced pipeline- API endpoint testing with full mocking- Performance validated (<10ms response time)📁 Files Added:- src/guardrails/ (6 core components)- src/rag/enhanced_rag_pipeline.py- tests/test_guardrails/ (comprehensive test suite)- enhanced_app.py (demo Flask integration)- ISSUE_24_IMPLEMENTATION_SUMMARY.md🚀 Production Ready:- Backward compatible with existing RAG pipeline- Flexible configuration system- Comprehensive logging and monitoring- Horizontal scalability with stateless design- Full documentation and type hintsAll Issue #24 requirements exceeded. Ready for production deployment. 2 months ago
phase2b_completion_summary.md

7.79 kB

fix: resolve trailing whitespace and end-of-file formatting issues 2 months ago
project-plan.md

6.61 kB

docs: Verify LLM integration operational status 2 months ago
project-prompt-and-rubric.md

12.1 kB

Add CI/CD workflow and Dockerfile for application deployment (#2) 2 months ago
project_phase3_roadmap.md

14.2 kB

Fix: Resolve final CI/CD formatting issues 2 months ago
pyproject.toml

747 Bytes

fix: Remove trailing whitespace and add end-of-file newlines 2 months ago
render.yaml

235 Bytes

Add CI/CD workflow and Dockerfile for application deployment (#2) 2 months ago
requirements.txt

99 Bytes

feat: complete Phase 3 Issue #23 LLM integration and RAG pipeline 2 months ago
run.sh

352 Bytes

Fix: Lower search thresholds to enable vector retrieval 2 months ago