cli_hr_example.py - ResonanceOS v6 Documentation

CLI Integration Thesis

The cli_hr_example.py module demonstrates how to integrate with ResonanceOS v6 through the command-line interface using Python's subprocess module. This example shows how to programmatically execute the HR main CLI script with specific parameters including prompts, tenant identifiers, and profile selections - providing a straightforward method for integrating ResonanceOS CLI capabilities into existing Python applications, automation scripts, and workflow systems without requiring direct API access or complex integration patterns.

Technical Specifications

Method: Subprocess Execution
Target: hr_main.py CLI script
Parameters: Prompt, Tenant, Profile
Integration: Python subprocess.run()
Use Case: CLI automation and scripting

Core Implementation

import subprocess

subprocess.run([
    "python", "resonance_os/cli/hr_main.py",
    "--prompt", "Write a compelling AI article about resonance tone",
    "--tenant", "default",
    "--profile", "brand_identity_v1"
])
                

Subprocess Integration

Execute CLI commands programmatically from Python applications

Parameter Configuration

Pass prompts, tenants, and profiles to control generation behavior

Workflow Automation

Integrate into existing automation and batch processing systems

Simple Integration

Minimal setup required for CLI-based content generation

CLI Execution Flow

1. Subprocess Call

Python subprocess.run() executes CLI script

↓

2. Parameter Parsing

CLI parses prompt, tenant, and profile arguments

↓

3. Content Generation

ResonanceOS generates content with specified profile

↓

4. Output Return

Generated content and HRV feedback returned to caller

CLI Command Structure

Command Syntax and Parameters

Basic Command Structure

python resonance_os/cli/hr_main.py --prompt "PROMPT_TEXT" --tenant "TENANT_ID" --profile "PROFILE_NAME"

Example Implementations

# Basic content generation
subprocess.run([
    "python", "resonance_os/cli/hr_main.py",
    "--prompt", "Write a compelling AI article about resonance tone",
    "--tenant", "default",
    "--profile", "brand_identity_v1"
])

# Multi-tenant content generation
subprocess.run([
    "python", "resonance_os/cli/hr_main.py",
    "--prompt", "Technical documentation for API integration",
    "--tenant", "tech_corp",
    "--profile", "technical_academic"
])

# Creative content generation
subprocess.run([
    "python", "resonance_os/cli/hr_main.py",
    "--prompt", "A story about AI discovering human emotions",
    "--tenant", "creative_studio",
    "--profile", "creative_storytelling"
])

Parameter Reference

CLI Parameters

--prompt

The text prompt for content generation. Required parameter that defines what content to generate.

--tenant

Tenant identifier for multi-tenant environments. Determines which tenant's profiles and settings to use.

--profile

Profile name that defines the writing style and HRV characteristics for content generation.

--output

Optional output file path to save generated content instead of printing to stdout.

Integration Patterns

Common Integration Use Cases

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Batch Processing

Process multiple prompts in sequence

⚡

Workflow Automation

Integrate into CI/CD pipelines

📈

Content Pipeline

Automated content generation workflows

⚙️

System Integration

Embed in existing Python applications

Advanced Usage Examples

Enhanced Integration Patterns

import subprocess
import json
from pathlib import Path

def generate_content_cli(prompt, tenant="default", profile="neutral_professional", output_file=None):
    """Generate content using CLI interface"""
    
    # Build command
    command = [
        "python", "resonance_os/cli/hr_main.py",
        "--prompt", prompt,
        "--tenant", tenant,
        "--profile", profile
    ]
    
    if output_file:
        command.extend(["--output", output_file])
    
    try:
        # Execute command
        result = subprocess.run(
            command,
            capture_output=True,
            text=True,
            timeout=60
        )
        
        if result.returncode == 0:
            return {
                "success": True,
                "output": result.stdout,
                "error": result.stderr
            }
        else:
            return {
                "success": False,
                "error": result.stderr,
                "return_code": result.returncode
            }
    except subprocess.TimeoutExpired:
        return {
            "success": False,
            "error": "Command timed out"
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e)
        }

# Batch processing example
def batch_generate_cli(prompts, tenant="default", profile="neutral_professional"):
    """Generate content for multiple prompts"""
    results = []
    
    for i, prompt in enumerate(prompts, 1):
        print(f"Processing prompt {i}/{len(prompts)}: {prompt[:50]}...")
        
        result = generate_content_cli(prompt, tenant, profile)
        results.append({
            "prompt": prompt,
            "result": result
        })
        
        if result["success"]:
            print("✅ Generation successful")
        else:
            print(f"❌ Generation failed: {result['error']}")
    
    return results

# Usage example
prompts = [
    "The future of AI in healthcare",
    "Sustainable technology solutions",
    "Digital transformation strategies"
]

batch_results = batch_generate_cli(prompts, "tech_corp", "technical_academic")
                    

Output Examples

CLI Output Format

Standard Output Example

▶️ ResonanceOS v6 - Human-Resonant Content Generation
============================================================

Processing prompt: "Write a compelling AI article about resonance tone"
Tenant: default
Profile: brand_identity_v1

📃 Generated Content:
The concept of resonance tone in artificial intelligence represents a fundamental shift in how we approach content generation and human-computer interaction. By analyzing the subtle patterns of human communication and cognitive engagement, AI systems can now create content that truly resonates with readers on both conscious and subconscious levels...

📈 HRV Feedback: 0.734
📈 Quality Score: Good
⏱️ Generation Time: 2.34s

✅ Content generation completed successfully!

Error Output Example

❌ Error: Profile 'invalid_profile' not found for tenant 'default'
Available profiles: neutral_professional, creative_storyteller, technical_academic

💡 Usage: python resonance_os/cli/hr_main.py --prompt "PROMPT" --tenant "TENANT" --profile "PROFILE"

Technical Implementation Thesis

The cli_hr_example.py module demonstrates a practical approach to integrating ResonanceOS v6 capabilities through the command-line interface using Python's subprocess module. This integration method provides a straightforward way to incorporate ResonanceOS functionality into existing Python applications, automation scripts, and workflow systems without requiring complex API integration or direct library dependencies. The approach is particularly valuable for scenarios where CLI-based integration is preferred, such as in legacy systems, batch processing environments, or when working with existing automation frameworks.

Integration Philosophy

Simplicity: Minimal code for CLI integration
Flexibility: Works with any CLI-compatible environment
Reliability: Leverages existing CLI functionality
Compatibility: No additional dependencies beyond subprocess

Use Case Benefits

Workflow Integration

Easy integration into existing automation and CI/CD pipelines.

Batch Processing

Efficient processing of multiple content generation requests.

System Compatibility

Works with any system that can execute CLI commands.

Testing & Development

Quick prototyping and testing of ResonanceOS capabilities.