CI/CD Pipeline

Continuous integration and deployment pipeline architecture overview

This document describes the continuous integration and continuous deployment (CI/CD) pipeline for the LangGraph MCP Agent project.

Table of Contents

• Overview
• Pipeline Architecture
• GitHub Actions Workflows
• Deployment Validation
• Build and Push
• Testing Strategy
• Deployment Procedures
• Rollback Procedures
• Secrets Management
• Troubleshooting

Overview

The CI/CD pipeline is implemented using GitHub Actions and provides:

• Automated Testing: Unit, integration, and property-based tests
• Code Quality: Linting, formatting, and security scanning
• Deployment Validation: Kubernetes manifests, Helm charts, and Docker Compose configurations
• Container Builds: Multi-architecture Docker images (amd64/arm64)
• Automated Deployments: Environment-specific deployment workflows
• Rollback Capability: Quick rollback to previous versions

Pipeline Workflow

Pipeline Architecture

GitHub Actions Workflow File

Location: .github/workflows/ci.yaml

Jobs

1. test: Runs pytest with unit tests
2. lint: Runs flake8 and mypy
3. security-check: Runs Bandit security scanner
4. validate-deployments: Validates all deployment configurations
5. build-and-push: Builds and pushes Docker images
6. deploy: Deploys to target environment (main branch only)

Pipeline Topics

GitHub Actions Workflows

Workflow configuration, jobs, and deployment validation

Testing Strategy

Unit, integration, property-based, and mutation testing

Deployment Procedures

Deployment and rollback procedures

Troubleshooting

Secrets management, debugging, and best practices