performance_optimizer.py

import time
import cProfile
import pstats
from memory_profiler import profile
from agent_zero import AgentZero

class PerformanceOptimizer:
    def __init__(self, agent: AgentZero):
        self.agent = agent

    @profile
    def memory_profile_run(self, input_data: str):
        return self.agent.process_input(input_data)

    def time_profile_run(self, input_data: str):
        profiler = cProfile.Profile()
        profiler.enable()
        
        result = self.agent.process_input(input_data)
        
        profiler.disable()
        stats = pstats.Stats(profiler).sort_stats('cumulative')
        stats.print_stats()
        
        return result

    def optimize_vector_search(self):
        # Implement optimization for vector search
        # This could involve techniques like approximate nearest neighbor search
        pass

    def optimize_model_inference(self):
        # Implement optimization for model inference
        # This could involve model quantization or distillation
        pass

# Usage
optimizer = PerformanceOptimizer(AgentZero())
optimizer.memory_profile_run("What's the weather like in New York?")
optimizer.time_profile_run("Explain the theory of relativity")