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import requests
import json

def stream_code_completion(prompt, max_tokens=300):
    """Stream CodeLlama 7B responses for real-time completion"""
    url = "http://localhost:11434/api/generate"
    data = {
        "model": "codellama:7b",
        "prompt": prompt,
        "stream": True,
        "options": {
            "temperature": 0.1,
            "num_predict": max_tokens
        }
    }

    response = requests.post(url, json=data, stream=True)

    for line in response.iter_lines():
        if line:
            chunk = json.loads(line)
            if 'response' in chunk:
                yield chunk['response']
                # Average 45 tokens/sec = ~180ms for 8 tokens

# Usage - see suggestions appear instantly
for token in stream_code_completion("def fibonacci(n):"):
    print(token, end='', flush=True)

// Fast code completion for web editors
class CodeLlamaCompletion {
  constructor() {
    this.baseUrl = 'http://localhost:11434/api'
    this.model = 'codellama:7b'
  }

  async getCompletion(code, position) {
    const prompt = this.buildContextPrompt(code, position)
    const startTime = performance.now()

    const response = await fetch('${this.baseUrl}/generate', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        model: this.model,
        prompt,
        stream: false,
        options: {
          temperature: 0.1,
          num_predict: 50  // Short completions for speed
        }
      })
    })

    const result = await response.json()
    const elapsed = performance.now() - startTime

    console.log(`Completion in ${elapsed}ms`)  // Usually <200ms
    return result.response
  }
}