Transparency-Logic-Time-Machine-Bots-

The Grand United Fields of Theories

Overview

This project includes comprehensive quality, hardening features, and a full AI Stack:

Config Validation: Type-safe configuration with Zod validation
Telemetry: Optional OpenTelemetry integration (no vendor lock-in)
Security Scanning: Trivy vulnerability scanning and SBOM generation
Pre-commit Hooks: Automatic linting and formatting
Dependency Management: Renovate for automated updates
AI Stack: Comprehensive AI tools and toolkits with Claude, LangChain, and multi-provider support

Installation

Base Installation

Install core dependencies only:

npm install

Optional Heavy Dependencies

Heavy AI/ML and vector database dependencies are optional. Install only what you need:

# Install all optional dependencies
npm install --include=optional

# Or install specific optional dependencies:
npm install @anthropic-ai/sdk              # Anthropic Claude AI SDK
npm install langchain @langchain/anthropic # LangChain with Claude integration
npm install openai                         # OpenAI SDK
npm install cohere-ai                      # Cohere AI SDK
npm install ai                             # Vercel AI SDK
npm install @huggingface/transformers      # HuggingFace Transformers
npm install pinecone-client                # Pinecone vector database
npm install weaviate-ts-client             # Weaviate vector database
npm install chromadb                       # Chroma vector database
npm install @google/generative-ai          # Google AI SDK (peer dependency for ChromaDB)
npm install @anchordotdev/anchor           # Anchor.dev

Why optional? These packages are large and not needed for basic functionality. Install only what your use case requires.

AI Stack

Full AI Toolkit with Claude

This project includes a comprehensive AI Stack with support for multiple AI providers and toolkits. The stack is designed to be modular and flexible, allowing you to use only the components you need.

Key Features:

Claude AI Integration: Full support for Anthropic's Claude models (Opus, Sonnet, Haiku)
LangChain Integration: Build complex AI applications with LangChain and Claude
Multi-Provider Support: OpenAI, Cohere, Google AI, and more
Vector Databases: Pinecone, Weaviate, and ChromaDB support
Type-Safe Configuration: Zod validation for all AI settings
Modular Design: Install only the AI tools you need

Claude AI Configuration

Claude is Anthropic's family of state-of-the-art AI models. This project supports all Claude models with full configuration options.

Available Models:

claude-3-opus-20240229 - Most capable model for complex tasks
claude-3-sonnet-20240229 - Balanced performance and speed
claude-3-haiku-20240307 - Fastest model for simple tasks

Configuration:

# Enable Claude AI
CLAUDE_ENABLED=true
CLAUDE_API_KEY=your-anthropic-api-key
CLAUDE_MODEL=claude-3-opus-20240229
CLAUDE_MAX_TOKENS=4096
CLAUDE_TEMPERATURE=1.0

Usage Example:

import Anthropic from '@anthropic-ai/sdk';
import { loadConfig } from './config';

const config = loadConfig();

if (config.claude?.enabled && config.claude.apiKey) {
  const anthropic = new Anthropic({
    apiKey: config.claude.apiKey,
  });

  const message = await anthropic.messages.create({
    model: config.claude.model,
    max_tokens: config.claude.maxTokens,
    temperature: config.claude.temperature,
    messages: [
      {
        role: 'user',
        content: 'Hello, Claude!',
      },
    ],
  });

  console.log(message.content);
}

LangChain Integration

LangChain is a framework for developing applications powered by language models. This project includes LangChain with Claude integration.

Configuration:

# Enable LangChain
LANGCHAIN_ENABLED=true
LANGCHAIN_TRACING_V2=true
LANGCHAIN_API_KEY=your-langchain-api-key
LANGCHAIN_PROJECT=your-project-name

Usage Example:

import { ChatAnthropic } from '@langchain/anthropic';
import { loadConfig } from './config';

const config = loadConfig();

if (config.langchain?.enabled && config.claude?.apiKey) {
  const model = new ChatAnthropic({
    anthropicApiKey: config.claude.apiKey,
    modelName: config.claude.model,
    temperature: config.claude.temperature,
  });

  const response = await model.invoke([
    {
      role: 'user',
      content: 'What is LangChain?',
    },
  ]);

  console.log(response.content);
}

Multi-Provider AI Support

The AI Stack supports multiple AI providers for flexibility and fallback options.

Supported Providers:

Anthropic Claude: State-of-the-art conversational AI
OpenAI: GPT-4, GPT-3.5, and embeddings
Cohere: Generate, embed, and classify text
Google AI: Gemini models (peer dependency for ChromaDB - install separately if needed)
HuggingFace: Open-source transformers and models

Configuration:

# Multi-provider API keys
OPENAI_API_KEY=your-openai-api-key
COHERE_API_KEY=your-cohere-api-key
# Note: For Google AI, install @google/generative-ai separately (peer dependency for ChromaDB)
# GOOGLE_API_KEY=your-google-api-key

Vector Databases

Vector databases are essential for AI applications that require semantic search and retrieval.

Supported Vector Databases:

Pinecone: Managed vector database with high performance
Weaviate: Open-source vector search engine
ChromaDB: AI-native embedding database

Configuration:

VECTOR_DB_ENABLED=true
VECTOR_DB_TYPE=pinecone
VECTOR_DB_API_KEY=your-api-key
VECTOR_DB_ENDPOINT=https://your-instance.vectordb.com

AI Stack Installation

Install the complete AI Stack or individual components:

# Complete AI Stack
npm install --include=optional

# Claude AI only
npm install @anthropic-ai/sdk

# LangChain with Claude
npm install langchain @langchain/anthropic

# Vector databases
npm install pinecone-client weaviate-ts-client chromadb

# Multi-provider support
npm install openai cohere-ai

Configuration

Configuration Validation

The project uses Zod for runtime configuration validation. Configuration is loaded from environment variables with type checking and validation.

Configuration Schema:

APP_NAME: Application name (default: transparency-logic-time-machine-bots)
NODE_ENV or APP_ENV: Environment (development|staging|production)
PORT: Server port (default: 3000)
LOG_LEVEL: Logging level (debug|info|warn|error, default: info)
TELEMETRY_*: Optional telemetry settings
AI_*: Optional AI/ML settings (HuggingFace)
CLAUDE_*: Optional Claude AI settings (Anthropic)
LANGCHAIN_*: Optional LangChain settings
OPENAI_API_KEY: Optional OpenAI API key
COHERE_API_KEY: Optional Cohere API key
VECTOR_DB_*: Optional vector database settings

Example:

# Copy example environment file
cp .env.example .env

# Edit configuration
nano .env

Validate Configuration:

# Build the project first
npm run build

# Run config validation smoke test
npm run validate:config

The validation performs no network calls - only local parsing and validation.

Telemetry

OpenTelemetry Integration

Optional OpenTelemetry integration with no vendor lock-in. Uses standard OpenTelemetry APIs compatible with any OTLP-compatible backend (Jaeger, Zipkin, Datadog, New Relic, etc.).

Enable Telemetry:

# Set in .env file
TELEMETRY_ENABLED=true
TELEMETRY_SERVICE_NAME=my-service
TELEMETRY_ENDPOINT=http://localhost:4318  # Optional - OTLP endpoint
TELEMETRY_SAMPLE_RATE=0.1                 # Sample 10% of traces

Features:

Automatic instrumentation via OpenTelemetry auto-instrumentations
Distributed tracing with standard OpenTelemetry APIs
Structured logging with context
No vendor lock-in - use any OTLP-compatible backend

Usage:

import { getTracer, createLogger } from './telemetry';

const logger = createLogger('my-module');
const tracer = getTracer('my-module');

logger.info('Processing request', { userId: '123' });

const span = tracer.startSpan('my-operation');
// ... your code ...
span.end();

Development

Building

npm run build

Linting and Formatting

# Run linter
npm run lint

# Fix linting issues
npm run lint:fix

# Check formatting
npm run format:check

# Fix formatting
npm run format

Pre-commit Hooks

Pre-commit hooks are automatically installed via husky. They will:

Run lint-staged to format and lint changed files
Run config validation smoke test (if built)

Manual setup (if needed):

# Install husky hooks
npm run prepare

Testing

npm test

Security

Vulnerability Scanning

The project uses Trivy for security scanning. Scans run automatically on:

Every push to master/main
Every pull request
Weekly schedule (Monday 00:00 UTC)
Manual workflow dispatch

View Security Results:

GitHub Security tab → Code scanning alerts
Workflow runs → Security Scan workflow

Run Locally:

# Install Trivy (macOS)
brew install aquasecurity/trivy/trivy

# Run scan
trivy fs .

SBOM Generation

Software Bill of Materials (SBOM) is generated using Syft in both SPDX and CycloneDX formats.

Download SBOM:

Go to Actions → Security Scan workflow
Click on a workflow run
Download "sbom-files" artifact

Generate Locally:

# Install Syft
curl -sSfL https://raw.githubusercontent.com/anchore/syft/main/install.sh | sh -s -- -b /usr/local/bin

# Generate SBOM
syft packages . -o spdx-json=sbom.spdx.json -o cyclonedx-json=sbom.cyclonedx.json

Dependency Management

Renovate

This project uses Renovate for automated dependency updates.

Configuration:

Schedule: Updates run before 5am on Monday (UTC)
Heavy Dependencies: AI/ML packages update monthly to reduce churn
Auto-merge: Patch updates for dev dependencies
Grouping: Related packages updated together
Security Alerts: Enabled with "security" label

Renovate Dashboard: Check Issues tab for the Renovate Dependency Dashboard

Configuration File: renovate.json

Service Integrations

Full Stack Toolkit

This project includes a standardized integration framework for cross-platform services.

Supported Services:

OpenAI - AI/ML capabilities
ManyChat - Chatbot automation
BotBuilders - Bot development platform
Moltbook - Service integration
Moltbot - Service integration
OpenClaw - Service integration
GitHub API - Extended GitHub operations
Webhooks - Generic webhook notifications

Configuration:

Copy the example configuration:

cp config/services.example.json config/services.json

Set environment variables or GitHub secrets for the services you want to use:

export OPENAI_API_KEY=your-key-here
export MANYCHAT_API_KEY=your-key-here
# ... etc

For GitHub Actions: Add secrets in Repository Settings → Secrets and variables → Actions

Available Secrets:

OPENAI_API_KEY - OpenAI API key
MANYCHAT_API_KEY - ManyChat API key
BOTBUILDERS_API_KEY - BotBuilders API key
MOLTBOOK_API_KEY - Moltbook API key
MOLTBOT_API_KEY - Moltbot API key
OPENCLAW_API_KEY - OpenClaw API key
GITHUB_PAT - GitHub Personal Access Token (for extended API access)
WEBHOOK_URL - Generic webhook endpoint URL
SERVICE_BASE_URL_OPENCLAW - Custom OpenClaw base URL (optional)
SERVICE_BASE_URL_* - Custom base URLs for other services (optional)

Security:

⚠️ NEVER commit config/services.json with real secrets - it's already in .gitignore

✓ Always use environment variables or GitHub secrets for credentials

✓ See config/services.example.json for detailed documentation and best practices

CI/CD

Workflows

CI Workflow (.github/workflows/blank.yml):

Linting and formatting checks
TypeScript compilation
Config validation smoke tests
Tests

Security Workflow (.github/workflows/security.yml):

Trivy vulnerability scanning
SBOM generation with Syft
Results uploaded to GitHub Security tab

Integration Checks Workflow (.github/workflows/integrations.yml):

Manual trigger via workflow_dispatch
Automatic trigger on push to main
Detects presence of service API keys (never prints secret values)
Placeholder connectivity checks for: OpenAI, ManyChat, BotBuilders, Moltbook, Moltbot, OpenClaw, GitHub, Webhooks
Dry-run oriented (safe for all environments)
No external dependencies (pure bash/curl)

Project Structure

.
├── src/
│   ├── config/          # Configuration validation module
│   │   ├── index.ts     # Config schema and loader
│   │   └── validator.ts # Smoke test script
│   ├── telemetry/       # OpenTelemetry integration
│   │   └── index.ts     # Tracer and logger setup
│   └── index.ts         # Main entry point
├── .github/
│   └── workflows/       # GitHub Actions workflows
├── .husky/              # Git hooks
├── package.json         # Dependencies and scripts
├── tsconfig.json        # TypeScript configuration
├── renovate.json        # Renovate configuration
└── .env.example         # Example environment variables

License

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
.github/workflows		.github/workflows
.husky		.husky
config		config
src		src
test		test
.env.example		.env.example
.eslintignore		.eslintignore
.eslintrc.js		.eslintrc.js
.gitignore		.gitignore
.prettierrc		.prettierrc
README.md		README.md
package.json		package.json
renovate.json		renovate.json
tsconfig.json		tsconfig.json

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Transparency-Logic-Time-Machine-Bots-

Overview

Installation

Base Installation

Optional Heavy Dependencies

AI Stack

Full AI Toolkit with Claude

Claude AI Configuration

LangChain Integration

Multi-Provider AI Support

Vector Databases

AI Stack Installation

Configuration

Configuration Validation

Telemetry

OpenTelemetry Integration

Development

Building

Linting and Formatting

Pre-commit Hooks

Testing

Security

Vulnerability Scanning

SBOM Generation

Dependency Management

Renovate

Service Integrations

Full Stack Toolkit

CI/CD

Workflows

Project Structure

License

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