Ekko

AI-powered voice assistant platform with CrewAI agents, GraphQL, and PII anonymization. Distributed as a standalone Windows EXE.

🚀 Quick Links

• Complete Setup Guide - Full development environment setup
• Claude + GitHub Copilot - Use Claude AI for development
• Agent Customization - Custom AI development agents
• Contributing - Contribution guidelines
• Security Policy - Security and vulnerability reporting

✨ Features

• 🎤 Real-time Voice Streaming - Low-latency audio capture and processing
• 🤖 AI-Powered Conversations - LLM integration with CrewAI multi-agent system
• 🔒 PII Anonymization - Regex-based sensitive data scrubbing
• 📊 GraphQL + REST - Flexible API layer with subscriptions
• 🧪 Comprehensive Testing - Unit, integration, property-based, and E2E tests
• 🛠️ Modern Tooling - AI code review, OpenAPI docs, Warp workflows

🚦 Quickstart

Prerequisites

• Python 3.12+
• Node.js 20+
• uv (Python package manager)
• Bun (Frontend package manager)
• Task (Task runner)

Installation

# Install all dependencies
task install

# Setup environment
cp .env.example .env.local
# Edit .env.local with your API keys

# Initialize database
task db:migrate

Development

# Start backend + frontend
task dev

# Or individually:
task dev:backend   # Backend only (port 8000)
task dev:frontend  # Frontend only (port 5173)

Quality Checks

# Run all quality checks
task check

# Individual checks:
task lint          # Linting (ruff, biome)
task typecheck     # Type checking (mypy, tsc)
task test          # Run tests
task format        # Format code

Pre-Push Validation

Verify that your changes will pass CI before pushing. Use these workflows to catch issues early:

Quick Check (< 5 min)

task verify

Runs essential checks that catch 95% of CI failures:

• Linting (ruff, biome, yaml)
• Type checking (ty, tsc)
• Unit tests
• Cyclomatic complexity (xenon)
• Pre-commit hooks

Windows Note: Uses uv run python -m <tool> pattern for cross-platform compatibility.

Full CI Mirror (< 15 min)

task ci:local

Mirrors the complete GitHub Actions pipeline:

1. Lint & Format - Fast fail on code quality issues
2. Security Scans - bandit, pip-audit, detect-secrets (parallel)
3. Tests - Unit tests → Integration tests (sequential)
4. Architecture - Clean Architecture boundary validation
5. Build - Verify compilation and packaging

Security Scanning

# Run all security checks (bandit + pip-audit + secrets)
task security:scan

# Or run individually:
task security:audit    # Dependency audit only (pip-audit)
task lint:secrets      # detect-secrets baseline scan
cd backend && uv run python -m bandit -c bandit.toml -r src/ekko   # Python security
cd backend && uv run pip-audit                                      # Dependency audit

Baselines:

• Secret scanning: .secrets.baseline
• Bandit security: backend/bandit.toml

Update baselines after reviewing and confirming false positives:

cd backend && uv run detect-secrets scan --update ../.secrets.baseline

CI Pipeline Structure

The GitHub Actions pipeline runs in stages for optimal speed:

┌─────────────────────────────────────────────────────┐
│  Stage 1: Lint & Type Check (fast fail)            │  → 3-5 min
│  - ruff lint + format                               │
│  - ty type check                                    │
│  - pytest unit tests                                │
├─────────────────────────────────────────────────────┤
│  Stage 2: Security (parallel)                       │  → 3-5 min
│  - bandit (Python security)                         │
│  - pip-audit (dependency CVEs)                      │
│  - detect-secrets (credential leaks)                │
├─────────────────────────────────────────────────────┤
│  Stage 3: Integration Tests (after Stage 1)        │  → 5-10 min
│  - Database integration                             │
│  - API integration                                  │
│  - External service mocks                           │
├─────────────────────────────────────────────────────┤
│  Stage 4: Architecture & Validation                 │  → 2-5 min
│  - Clean Architecture boundaries                    │
│  - Link checking (lychee)                           │
│  - ShellCheck                                       │
│  - actionlint (workflow validation)                 │
└─────────────────────────────────────────────────────┘

Total CI time: ~15-25 minutes Local quick check: ~5 minutes (task verify) Local full mirror: ~15 minutes (task ci:local)

Build

# Build standalone Windows EXE
task build:exe

# Build frontend only
task frontend:build

🏗️ Architecture

Clean Architecture with strict dependency direction: presentation/infrastructure → application → core

┌─────────────────────────────────────────────────────┐
│  Presentation (API routes, GraphQL, middleware)     │  ← FastAPI, Strawberry
├─────────────────────────────────────────────────────┤
│  Application (use case orchestration, services)     │  ← Business logic
├─────────────────────────────────────────────────────┤
│  Core (entities, value objects, domain rules)       │  ← Pure domain
├─────────────────────────────────────────────────────┤
│  Infrastructure (DB, external clients, adapters)     │  ← SQLAlchemy, OpenAI
├─────────────────────────────────────────────────────┤
│  AI (CrewAI agents, PII, chains, embeddings)       │  ← AI pipeline
└─────────────────────────────────────────────────────┘

Tech Stack

Backend:

• FastAPI, Uvicorn
• Strawberry GraphQL
• SQLAlchemy, Alembic, SQLite
• CrewAI, LangChain, OpenAI
• Pydantic v2, structlog

Frontend:

• React 19, TypeScript
• Vite 6 + SWC
• Tailwind CSS v4
• shadcn/ui (Radix)
• Zustand, TanStack Query
• Storybook

Testing:

• pytest, Hypothesis
• Vitest, React Testing Library, fast-check
• Playwright (E2E)
• factory-boy

Quality:

• ruff (Python linting/formatting)
• mypy (type checking)
• Biome (frontend linting/formatting)
• pre-commit hooks

AI Development Tools:

• GitHub Copilot with Claude 3.5 Sonnet
• CodeRabbit (AI code review)
• Custom VS Code agents
• Warp terminal workflows

📚 Documentation

Core Documentation

• Complete Setup Guide - Full environment setup
• Architecture Overview - System design
• Contributing Guide - How to contribute
• Security Policy - Security guidelines

AI Development

• Claude + GitHub Copilot Guide - Use Claude for coding
• Agent Customization - Custom AI agents
• Agent Instructions - Project-specific AI guidance

Development Guides

• Clean Architecture - Layer boundaries
• Python Conventions - Code standards
• Frontend Stack - React patterns
• Testing Conventions - Test strategy
• Naming Registry - Constant management

🛠️ Tools

CodeRabbit (AI Code Review)

Automated AI-powered code reviews on pull requests.

# Validate configuration
task tools:coderabbit:validate

Configuration: .coderabbit.yaml

OpenAPI Documentation

Generate OpenAPI specs and interactive documentation.

# Generate docs
task tools:openapi:generate

# View in browser
task tools:openapi:view

Output: docs/api/

Warp Terminal

Modern terminal with AI features and workflows.

# Install project workflows
task tools:warp:install

Configuration: .warp/

GitNexus

Advanced Git workflow automation.

# Validate configuration
task tools:gitnexus:validate

Configuration: .gitnexus/config.json

Check All Tools

# Check status of all tools
task tools:status

🧪 Testing

# Run all tests
task test

# Specific test types
task test:unit          # Unit tests
task test:integration   # Integration tests
task test:property      # Property-based tests (Hypothesis)
task test:performance   # Performance benchmarks
task test:e2e           # End-to-end tests
task test:frontend      # Frontend tests (Vitest)

# Coverage
task test:coverage      # With coverage report

Test Organization

tests/
├── unit/           # Fast, isolated, no I/O
├── integration/    # Database, API, external services
├── property/       # Hypothesis property-based tests
├── performance/    # Benchmark tests
├── e2e/            # End-to-end tests
├── fixtures/       # Shared test data
├── factories/      # factory-boy factories
└── mocks/          # Reusable mocks

📝 Code Quality

Linting

task lint              # All linters
task lint:python       # Python (ruff)
task lint:frontend     # Frontend (biome)
task lint:yaml         # YAML files
task lint:markdown     # Markdown files
task lint:secrets      # Secret scanning

Formatting

task format            # Format all code

Type Checking

task typecheck         # Python (mypy) + Frontend (tsc)

Complexity

task xenon             # Cyclomatic complexity check

Pre-commit Hooks

# Run all pre-commit hooks
task pre-commit

# Install hooks (automatic with task install)
cd backend && uv run pre-commit install

🗄️ Database

Migrations

# Run pending migrations
task db:migrate

# Create new migration
cd backend
uv run alembic revision --autogenerate -m "description"

# Rollback
task db:downgrade

# Reset database
task db:reset

📦 Building

Standalone EXE

# Build with PyInstaller
task build:exe

# Output: dist/ekko/ekko.exe

Frontend

# Build optimized frontend
cd frontend && bun run build

# Preview production build
cd frontend && bun run preview

🔐 Security

Secret Scanning

# Scan for secrets
task lint:secrets

# Update baseline
cd backend && uv run detect-secrets scan --update .secrets.baseline

Dependency Audits

# Audit Python dependencies
task security:audit

Pre-commit Hooks

Automatic security checks:

• detect-secrets
• gitleaks
• bandit (Python security)

🐳 Devcontainer

Open in VS Code and choose "Reopen in Container".

Features:

• Pre-configured Python + Node environment
• All tools installed
• VS Code extensions pre-installed
• Ready to code immediately

🐳 Docker + Caddy (Local)

Ekko includes a local container stack for backend runtime plus optional HTTPS reverse proxy.

# Backend container only
docker compose -f docker/compose.yaml -f docker/compose.override.yaml up --build

# Backend + local HTTPS reverse proxy (Caddy)
docker compose -f docker/compose.yaml -f docker/compose.override.yaml --profile caddy up --build

Key files:

• docker/Containerfile
• docker/compose.yaml
• docker/compose.override.yaml
• caddy/Caddyfile

🤝 Contributing

See CONTRIBUTING.md for detailed guidelines.

Quick overview:

1. Fork the repository
2. Create feature branch (feature/your-feature)
3. Follow coding conventions
4. Write tests
5. Run task check
6. Submit pull request

📄 License

This project is licensed under the MIT License - see LICENSE file.

🙏 Acknowledgments

• FastAPI for the excellent web framework
• CrewAI for multi-agent orchestration
• React team for React 19
• shadcn for the beautiful UI components
• All open source contributors

📞 Support

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: Questions and general discussion
• Email: lfr@tik-ai.dk

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Made with ❤️ using Clean Architecture principles