🖥️ CLI Reference Guide

✅ IMPLEMENTATION STATUS: COMPLETE (2025-01-07)

Generate Function Migration completed - CLI now supports both primary and legacy commands

✅ New generate command established as primary
✅ All options and functionality maintained
✅ Zero breaking changes for existing scripts

Migration Note: Use generate for new scripts. Existing generate scripts continue working with deprecation warnings.

Complete Command Reference

Primary Usage (Recommended)

# NEW: Primary command
npx @juspay/neurolink generate "Your prompt here" [options]
npx @juspay/neurolink gen "Your prompt here" [options]    # Short form

Migration Examples

# ✅ NEW: Recommended usage
npx @juspay/neurolink generate "Explain AI" --provider google-ai
npx @juspay/neurolink gen "Write code" --provider openai

Core Options

Flag	Type	Default	Description
`--provider`	string	`auto`	AI provider (`auto`, `openai`, `bedrock`, `vertex`, `anthropic`, `azure`, `google-ai`, `huggingface`, `ollama`, `mistral`)
`--model`	string	provider default	Specific model (e.g., `gemini-2.5-pro`, `gpt-4o`, `claude-3-sonnet`)
`--temperature`	number	`0.7`	Creativity level (0.0 = focused, 1.0 = creative)
`--max-tokens`	number	`1000`	Maximum tokens to generate
`--system`	string	none	System prompt to guide AI behavior
`--format`	string	`text`	Output format (`text`, `json`)
`--timeout`	number	`120`	Maximum execution time in seconds
`--debug`	boolean	`false`	Enable debug mode with verbose output

Enhancement Features

Flag	Type	Default	Description
`--enable-analytics`	boolean	`false`	Enable usage analytics (tokens, cost, performance)
`--enable-evaluation`	boolean	`false`	Enable AI response quality evaluation
`--context`	string	none	JSON context object for custom data

Universal Evaluation System

Flag	Type	Default	Description
`--evaluation-domain`	string	none	Domain expertise for evaluation (e.g., 'AI coding assistant')
`--tool-usage-context`	string	none	Tool usage context for evaluation
`--lighthouse-style`	boolean	`false`	Use Lighthouse-compatible domain-aware evaluation

MCP Integration

Flag	Type	Default	Description
`--disable-tools`	boolean	`false`	Disable MCP tool integration (tools enabled by default)

Video Generation (Veo 3.1)

Flag	Type	Default	Description
`--outputMode`	string	`text`	Output mode: 'text' or 'video'
`--image`	string	none	Path to an input image to base the generated video on (e.g., ./input.png)
`--videoOutput`, `-vo`	string	none	Path to save generated video (e.g., ./output.mp4)
`--videoResolution`	string	`720p`	Video resolution: '720p' or '1080p'
`--videoLength`	number	`6`	Video duration in seconds: 4, 6, or 8
`--videoAspectRatio`	string	`16:9`	Aspect ratio: '9:16' (portrait) or '16:9' (landscape)
`--videoAudio`	boolean	`true`	Include synchronized audio

Usage Examples

Basic Text Generation

# Simple generation
npx @juspay/neurolink generate "Write a haiku about AI"

# With specific provider
npx @juspay/neurolink generate "Explain quantum computing" --provider openai

# With model selection
npx @juspay/neurolink generate "Write code" --provider google-ai --model gemini-2.5-pro

Enhanced Analytics & Evaluation

# Basic analytics
npx @juspay/neurolink generate "What is machine learning?" --enable-analytics

# Analytics + evaluation
npx @juspay/neurolink generate "Explain AI ethics" --enable-analytics --enable-evaluation

# With custom context
npx @juspay/neurolink generate "Create a proposal" \
  --enable-analytics --enable-evaluation \
  --context '{"company":"TechCorp","department":"AI"}'

Domain-Aware Evaluation

# Basic domain evaluation
npx @juspay/neurolink generate "Fix this Python code" \
  --enable-evaluation --evaluation-domain "Python coding assistant"

# Lighthouse-style evaluation
npx @juspay/neurolink generate "Create a business plan" \
  --lighthouse-style --evaluation-domain "Business consultant" \
  --tool-usage-context "Used market-research and financial-analysis tools"

# Enterprise evaluation with context
npx @juspay/neurolink generate "Analyze sales data" \
  --enable-analytics --lighthouse-style \
  --evaluation-domain "Data analyst" \
  --context '{"role":"senior_analyst","access_level":"full"}'

Debug & Development

# Debug mode with full output
npx @juspay/neurolink generate "Test prompt" --debug

# Debug with enhancements
npx @juspay/neurolink generate "Test analytics" \
  --enable-analytics --enable-evaluation --debug

# Disable MCP tools for testing
npx @juspay/neurolink generate "Simple test" --disable-tools

Advanced Examples

# Enterprise AI assistant with full features
npx @juspay/neurolink generate "Create quarterly AI strategy" \
  --provider openai --model gpt-4o \
  --enable-analytics --lighthouse-style \
  --evaluation-domain "AI strategy consultant" \
  --tool-usage-context "Market research, competitor analysis, financial modeling" \
  --context '{"company":"Fortune500","quarter":"Q1-2025","budget":"$5M"}' \
  --debug

# Cost-optimized evaluation
npx @juspay/neurolink generate "Quick code review" \
  --provider google-ai --model gemini-2.5-flash \
  --enable-evaluation --evaluation-domain "Code reviewer" \
  --max-tokens 500

# High-quality content generation
npx @juspay/neurolink generate "Write technical documentation" \
  --provider anthropic --model claude-3-opus \
  --enable-analytics --enable-evaluation \
  --evaluation-domain "Technical writer" \
  --temperature 0.3 --max-tokens 2000

Output Examples

Basic Output

✨ Generated text:
Artificial Intelligence (AI) refers to...

✅ Text generated successfully!

Enhanced Output (with --enable-analytics --enable-evaluation)

✨ Generated text:
Artificial Intelligence (AI) refers to...

📊 Analytics:
   Provider: google-ai
   Model: gemini-2.5-flash
   Tokens: 245 (input: 12, output: 233)
   Cost: $0.0012
   Response Time: 3247ms
   Context: {"domain":"education"}

⭐ Response Quality Evaluation:
   🎯 Relevance: 9/10
   ✅ Accuracy: 8/10
   📋 Completeness: 9/10
   🏆 Overall Quality: 9/10
   🤖 Evaluated by: gemini-2.5-flash (1247ms)

✅ Text generated successfully!

Debug Output (with --debug)

🔍 Debug: Provider selection started
🔍 Debug: Selected provider: google-ai (model: gemini-2.5-flash)
🔍 Debug: Analytics enabled: true
🔍 Debug: Evaluation enabled: true
🔍 Debug: Request started at 2025-01-06T12:00:00.000Z

✨ Generated text:
...

🔍 Debug: Raw analytics data:
{
  "provider": "google-ai",
  "tokens": {"input": 12, "output": 233, "total": 245},
  "cost": 0.0012,
  "responseTime": 3247,
  "context": {"domain": "education"}
}

🔍 Debug: Raw evaluation data:
{
  "relevance": 9,
  "accuracy": 8,
  "completeness": 9,
  "overall": 9,
  "model": "gemini-2.5-flash",
  "evaluationTime": 1247
}

✅ Text generated successfully!

Error Handling

Common Errors & Solutions

Provider not available:

❌ Error: Provider 'openai' not available (missing API key)
💡 Solution: Set OPENAI_API_KEY in your .env file

Invalid context JSON:

❌ Error: Invalid JSON in --context parameter
💡 Solution: Use proper JSON format: --context '{"key":"value"}'

Model not found:

❌ Error: Model 'invalid-model' not found for provider 'openai'
💡 Solution: Use valid model names (see provider documentation)

Evaluation failed:

⚠️  Warning: Evaluation failed, continuing without quality scores
💡 Reason: Evaluation provider unavailable, set NEUROLINK_EVALUATION_MODEL

Performance Tips

Fast Evaluation: Use --model gemini-2.5-flash for quick, cost-effective evaluation
Quality Content: Use --provider anthropic --model claude-3-opus for high-quality generation
Cost Optimization: Set NEUROLINK_EVALUATION_PREFER_CHEAP=true for automatic cost optimization
Debug Efficiently: Use --debug only when troubleshooting to avoid verbose output
Context Size: Keep --context objects small to minimize token usage

Video Generation Examples

Generate videos from images using Veo 3.1 via Vertex AI:

# Basic video generation
npx @juspay/neurolink generate "Product showcase with smooth camera movement" \
  --image ./product.jpg \
  --outputMode video \
  --videoOutput ./output.mp4

# Full options
npx @juspay/neurolink generate "Cinematic reveal with dramatic lighting" \
  --image ./hero-image.png \
  --provider vertex \
  --model veo-3.1 \
  --outputMode video \
  --videoResolution 1080p \
  --videoLength 8 \
  --videoAspectRatio 16:9 \
  --videoOutput ./cinematic.mp4

# Portrait video for social media
npx @juspay/neurolink generate "Vertical scroll animation" \
  --image ./mobile-screenshot.jpg \
  --outputMode video \
  --videoResolution 720p \
  --videoAspectRatio 9:16 \
  --videoOutput ./story.mp4

Note: Video generation requires Vertex AI credentials. See Video Generation Guide.

Environment Variables

See the Environment Variables documentation for complete configuration options.

API Integration

For programmatic usage, see the API Reference documentation.

✅ IMPLEMENTATION STATUS: COMPLETE (2025-01-07)​

Complete Command Reference​

Primary Usage (Recommended)​

Migration Examples​

Core Options​

Enhancement Features​

Universal Evaluation System​

MCP Integration​

Video Generation (Veo 3.1)​

Usage Examples​

Basic Text Generation​

Enhanced Analytics & Evaluation​

Domain-Aware Evaluation​

Debug & Development​

Advanced Examples​

Output Examples​

Basic Output​

Enhanced Output (with --enable-analytics --enable-evaluation)​

Debug Output (with --debug)​

Error Handling​

Common Errors & Solutions​

Performance Tips​

Video Generation Examples​

Environment Variables​

API Integration​