@codervisor/devlog-ai

AI Chat History Extractor & Docker-based Automation - TypeScript implementation for GitHub Copilot and other AI coding assistants in the devlog ecosystem.

Features

Chat History Analysis

• Extract Real Chat History: Discovers and parses actual AI chat sessions from VS Code data directories
• Multi-AI Support: Currently supports GitHub Copilot, with planned support for Cursor, Claude Code, and other AI assistants
• Cross-Platform Support: Works with VS Code, VS Code Insiders, and other variants across Windows, macOS, and Linux
• Multiple Export Formats: Export to JSON and Markdown
• Search Functionality: Search through chat content to find specific conversations
• Statistics: View usage statistics and patterns
• Devlog Integration: Seamlessly integrates with the devlog core system for enhanced project management

🤖 Docker-based Automation (NEW!)

• Automated Copilot Testing: Run containerized VS Code Instances with GitHub Copilot for automated code generation testing
• Scenario-Based Testing: Pre-built test scenarios for algorithms, APIs, data processing, and more
• Real-time Interaction Capture: Monitor and capture Copilot suggestions and user interactions in real-time
• Comprehensive Reporting: Export detailed automation results with metrics, statistics, and analysis
• Multiple Programming Languages: Support for JavaScript, TypeScript, Python, and more
• Docker Orchestration: Automated container lifecycle management with VS Code Insiders and extensions

Technical Features

• TypeScript Native: Fully typed implementation with modern Node.js tooling
• ESM Support: Modern ES modules with proper .js extensions for runtime compatibility
• Extensible Architecture: Plugin-based parser system for adding new AI assistants
• Performance Optimized: Streaming and batch processing for large datasets
• Type Safety: Strict TypeScript with minimal any usage and proper error handling
• Comprehensive Testing: Full test coverage with vitest

Installation

# Install dependencies
pnpm install

# Build the package
pnpm --filter @codervisor/devlog-ai build

Usage

Command Line Interface

Chat History Analysis

npx @codervisor/devlog-ai stats

# Search chat sessions with filters
npx @codervisor/devlog-ai chat

# Search with advanced filters
npx @codervisor/devlog-ai search "error handling" --limit 20

# Export chat history
npx @codervisor/devlog-ai chat --format json --output chat_history.json
npx @codervisor/devlog-ai chat --format md --output chat_history.md

🤖 Docker-based Automation

# Test Docker setup
npx @codervisor/devlog-ai automation test-setup

# List available scenarios
npx @codervisor/devlog-ai automation scenarios
npx @codervisor/devlog-ai automation scenarios --category algorithms --verbose

# List scenario categories
npx @codervisor/devlog-ai automation categories

# Run a specific scenario
npx @codervisor/devlog-ai automation run \
  --token YOUR_GITHUB_TOKEN \
  --scenarios algorithms,api \
  --language javascript \
  --count 5 \
  --output ./results \
  --debug

# Run with environment variable
export GITHUB_TOKEN=your_token_here
# Run multiple scenarios
npx @codervisor/devlog-ai automation run --scenarios testing --language python

Programmatic Usage

Chat History Analysis

import {
  CopilotParser,
  JSONExporter,
  MarkdownExporter,
  DefaultChatImportService,
  ChatHubService,
} from '@codervisor/devlog-ai';

// Parse chat data
const parser = new CopilotParser();
const data = await parser.discoverChatData();

// Get statistics
const stats = parser.getChatStatistics(data);

// Search content
const results = parser.searchChatContent(data, 'async function');

// Export to JSON
const jsonExporter = new JSONExporter();
await jsonExporter.exportData(
  {
    chat_data: data.toDict(),
    statistics: stats,
  },
  'output.json',
);

// Export to Markdown
const mdExporter = new MarkdownExporter();
await mdExporter.exportChatData(
  {
    statistics: stats,
    chat_data: { chat_sessions: data.chat_sessions },
    search_results: results,
  },
  'report.md',
);

// Import to devlog system
const importService = new DefaultChatImportService(storageProvider);
const progress = await importService.importFromCopilot();

🤖 Docker Automation

import {
  DockerCopilotAutomation,
  CodeGenerationScenario,
  AutomationResultExporter,
} from '@codervisor/devlog-ai';

// Configure automation
const config = {
  githubToken: process.env.GITHUB_TOKEN!,
  timeout: 60000,
  debug: true,
  ports: { codeServer: 8080, vscode: 3000 },
};

// Get test scenarios
const scenarios = CodeGenerationScenario.getScenariosByCategory('algorithms');

// Run automation session
const automation = new DockerCopilotAutomation(config);
const sessionResult = await automation.runSession(scenarios);

// Export results
const exporter = new AutomationResultExporter();
await exporter.exportDetailedReport(sessionResult, './automation-results');

// Create custom scenarios
const customScenario = new CodeGenerationScenario({
  id: 'custom-test',
  name: 'Custom Algorithm Test',
  description: 'Test custom algorithm implementation',
  language: 'typescript',
  initialCode: 'function customSort(arr: number[]): number[] {\n  // TODO: implement\n}',
  expectedPrompts: ['if (arr.length <= 1)', 'return arr;'],
  timeout: 30000,
});

await automation.runSession([customScenario]);

How It Works

Chat History Discovery

AI-Chat discovers AI assistant chat sessions stored in VS Code's application data:

• macOS: ~/Library/Application Support/Code*/User/workspaceStorage/*/chatSessions/
• Windows: %APPDATA%/Code*/User/workspaceStorage/*/chatSessions/
• Linux: ~/.config/Code*/User/workspaceStorage/*/chatSessions/

Each chat session is stored as a JSON file containing the conversation between you and your AI assistant.

🤖 Docker Automation Architecture

The automation system creates isolated Docker containers with VS Code Insiders and GitHub Copilot to run reproducible tests:

Container Setup

1. Base Image: Ubuntu 22.04 with Node.js, Python, and development tools
2. VS Code Insiders: Latest insider build with GitHub Copilot extensions
3. Code Server: Web-based VS Code interface for automation control
4. Test Environment: Isolated workspace with pre-configured test files

Automation Flow

1. Container Launch: Docker container with VS Code Insiders starts
2. Extension Loading: GitHub Copilot and related extensions activate
3. Scenario Execution: Test scenarios run with simulated typing and interactions
4. Real-time Capture: Copilot suggestions and interactions are captured
5. Result Collection: Generated code, metrics, and interaction data collected
6. Report Generation: Comprehensive reports exported in multiple formats

Test Scenarios

• Algorithm Implementation: Binary search, sorting algorithms, data structures
• API Development: REST endpoints, error handling, middleware patterns
• Data Processing: Validation functions, transformations, parsing
• Testing Patterns: Unit tests, integration tests, mocking strategies
• Security: Input validation, sanitization, authentication patterns

Configuration

Docker Requirements

• Docker Desktop or Docker Engine installed and running
• Internet connection for pulling base images and VS Code components
• At least 2GB RAM available for containers
• GitHub token with Copilot access

Environment Variables

# Required for automation
export GITHUB_TOKEN=your_personal_access_token

# Optional configuration
export DOCKER_AUTOMATION_PORT=8080        # Code server port
export DOCKER_AUTOMATION_TIMEOUT=60000    # Operation timeout (ms)
export DEBUG=1                            # Enable debug logging

Automation Configuration

interface AutomationConfig {
  githubToken: string; // Required: GitHub token for Copilot
  vscodeVersion?: string; // VS Code Insiders version (default: latest)
  ports?: {
    codeServer: number; // Code server port (default: 8080)
    vscode: number; // VS Code port (default: 3000)
  };
  timeout?: number; // Operation timeout (default: 60000ms)
  debug?: boolean; // Debug logging (default: false)
}

Architecture

src/
├── models/              # TypeScript interfaces and types
├── parsers/             # VS Code data discovery and parsing
│   ├── base/            # Abstract base classes for AI providers
│   └── copilot/         # GitHub Copilot implementation
├── exporters/           # Export functionality (JSON, Markdown)
├── automation/          # 🤖 NEW: Docker-based automation layer
│   ├── docker/          # Container orchestration and management
│   ├── scenarios/       # Test scenario definitions and factories
│   ├── capture/         # Real-time interaction capture and parsing
│   ├── exporters/       # Automation result exporters
│   └── types/           # Automation-specific TypeScript types
├── utils/               # Cross-platform utilities
├── cli/                 # Command-line interface
│   ├── index.ts         # Main CLI with chat history commands
│   └── automation.ts    # Automation-specific CLI commands
└── index.ts             # Main exports

Core Components

Historical Analysis (Existing)

• CopilotParser: Discovers and parses VS Code chat sessions
• JSONExporter/MarkdownExporter: Export chat data in various formats
• SearchResult: Search through chat content with context

🤖 Automation Layer (New)

• DockerCopilotAutomation: Main orchestrator for automation sessions
• VSCodeContainer: Docker container lifecycle management
• RealTimeCaptureParser: Live capture of Copilot interactions
• CodeGenerationScenario: Pre-built and custom test scenarios
• AutomationResultExporter: Comprehensive result reporting

Troubleshooting

Docker Issues

# Check Docker installation
docker --version

# Test basic Docker functionality
docker run hello-world

# Check if Docker daemon is running
docker info

# Pull required base image manually
docker pull ubuntu:22.04

Automation Issues

# Test environment setup
npx @codervisor/devlog-ai automation test-setup

# Check GitHub token
echo $GITHUB_TOKEN

# Run with debug logging
npx @codervisor/devlog-ai automation run --debug --token $GITHUB_TOKEN

Common Problems

"Docker not found"

• Install Docker Desktop: https://docs.docker.com/get-docker/
• Ensure Docker daemon is running
• Add your user to docker group (Linux): sudo usermod -aG docker $USER

"GitHub token invalid"

• Generate personal access token: https://github.com/settings/tokens
• Ensure token has appropriate Copilot access permissions
• Set token as environment variable or use --token flag

"Container startup timeout"

• Increase timeout: --timeout 120000
• Check available system resources (RAM, disk space)
• Verify internet connection for downloading VS Code components

"No scenarios found"

• List available categories: npx @codervisor/devlog-ai automation categories
• Check scenario filters: --category algorithms --language javascript
• Create custom scenarios using the programmatic API

Integration with Devlog

This package is part of the devlog monorepo ecosystem:

• @codervisor/devlog-core: Shared utilities and types
• @codervisor/devlog-mcp: MCP server integration for AI agents
• @codervisor/devlog-web: Web interface for visualization

License

Apache 2.0 License - see LICENSE file for details.