🤖 AI Model Runner

{ "claude": { "api": { "endpoints": { "ai_model_runner": { "url": "https://sheikhcoders-ai-model-runner.hf.space", "description": "AI Model Runner - All AI capabilities" } } } } }

{ "claude": { "api": { "endpoints": { "ai_model_runner": { "url": "https://sheikhcoders-ai-model-runner.hf.space", "description": "AI Model Runner - Code understanding", "capabilities": { "code_analysis": { "tasks": ["explain", "refactor", "debug", "optimize"], "supported_languages": ["python", "javascript", "java", "cpp", "csharp"] } } } } } } }

{ "claude": { "api": { "endpoints": { "ai_model_runner": { "url": "https://sheikhcoders-ai-model-runner.hf.space", "description": "AI Model Runner - Multi-turn dialogue", "context": { "model": "microsoft/DialoGPT-medium", "max_length": 100, "temperature": 0.7 } } } } } }

{ "claude": { "api": { "endpoints": { "ai_model_runner": { "url": "https://sheikhcoders-ai-model-runner.hf.space", "description": "Complete AI Model Runner integration", "context": { "models": { "dialogue": "microsoft/DialoGPT-medium", "text_generation": "gpt2", "sentiment": "distilbert-base-uncased-finetuned-sst-2-english" }, "capabilities": { "code_analysis": { "tasks": ["explain", "refactor", "debug", "optimize"], "languages": ["python", "javascript", "java", "cpp", "csharp"] }, "dialogue": { "model": "microsoft/DialoGPT-medium", "max_length": 100, "temperature": 0.7 }, "reasoning": { "max_steps": 5 } } } } } } } }

import requests class AIIntegrator: def __init__(self, base_url="https://sheikhcoders-ai-model-runner.hf.space"): self.base_url = base_url def health_check(self): response = requests.get(f"{self.base_url}/health") return response.json() def analyze_code(self, code, task="explain", language="python"): data = { "code": code, "task": task, "language": language } response = requests.post(f"{self.base_url}/code", json=data) return response.json() def chat(self, messages, model="microsoft/DialoGPT-medium"): data = { "messages": messages, "model": model } response = requests.post(f"{self.base_url}/chat", json=data) return response.json() # Usage integrator = AIIntegrator() # Check health print("Health:", integrator.health_check()) # Analyze code code_analysis = integrator.analyze_code( "def fibonacci(n): return [fib(i) for i in range(n)]", task="explain", language="python" ) print("Analysis:", code_analysis)

class AIIntegrator { constructor(baseUrl = "https://sheikhcoders-ai-model-runner.hf.space") { this.baseUrl = baseUrl; } async healthCheck() { const response = await fetch(`${this.baseUrl}/health`); return response.json(); } async analyzeCode(code, task = "explain", language = "python") { const data = { code, task, language }; const response = await fetch(`${this.baseUrl}/code`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(data) }); return response.json(); } async chat(messages, model = "microsoft/DialoGPT-medium") { const data = { messages, model }; const response = await fetch(`${this.baseUrl}/chat`, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(data) }); return response.json(); } } // Usage const integrator = new AIIntegrator(); integrator.healthCheck().then(result => { console.log("Health:", result); }); integrator.analyzeCode("console.log('Hello World')", "explain", "javascript") .then(result => { console.log("Analysis:", result); });

# Claude Code Integration Script # Save as: ~/setup-claude-integration.py import os import json import shutil def setup_claude_integration(): """Setup Claude Code with AI Model Runner""" # Create settings directory settings_dir = os.path.expanduser("~/.claude") if not os.path.exists(settings_dir): os.makedirs(settings_dir) print(f"📁 Created directory: {settings_dir}") # Backup existing settings settings_file = os.path.join(settings_dir, "settings.json") if os.path.exists(settings_file): backup_file = settings_file + ".backup" shutil.copy2(settings_file, backup_file) print(f"💾 Backed up existing settings to: {backup_file}") # Load existing settings with open(settings_file, 'r') as f: settings = json.load(f) else: settings = {} # Add AI Model Runner configuration if "claude" not in settings: settings["claude"] = {} if "api" not in settings["claude"]: settings["claude"]["api"] = {} if "endpoints" not in settings["claude"]["api"]: settings["claude"]["api"]["endpoints"] = {} settings["claude"]["api"]["endpoints"]["ai_model_runner"] = { "url": "https://sheikhcoders-ai-model-runner.hf.space", "description": "AI Model Runner - Code analysis, dialogue, and reasoning", "capabilities": { "code_analysis": ["explain", "refactor", "debug", "optimize"], "dialogue": "microsoft/DialoGPT-medium", "reasoning": "step-by-step problem solving", "sentiment": "text sentiment analysis" } } # Save settings with open(settings_file, 'w') as f: json.dump(settings, f, indent=2) print(f"✅ Configuration saved to: {settings_file}") print("🚀 AI Model Runner is now integrated with Claude Code!") print(f"📡 API Endpoint: https://sheikhcoders-ai-model-runner.hf.space") if __name__ == "__main__": setup_claude_integration()