Agentic AI Performance

Performance optimization strategies for building high-performance AI agents with PHP MCP SDK.

Overview

This guide covers performance considerations specific to agentic AI systems, including optimization techniques for agent reasoning, tool execution, and multi-agent coordination.

Agent Performance Fundamentals

Response Time Optimization

php

<?php
// src/AgenticAI/Performance/ResponseOptimizer.php

class ResponseOptimizer
{
    private CacheManager $cache;
    private array $optimizationStrategies = [];

    public function __construct(CacheManager $cache)
    {
        $this->cache = $cache;
        $this->initializeStrategies();
    }

    private function initializeStrategies(): void
    {
        $this->optimizationStrategies = [
            'cache_responses' => true,
            'parallel_execution' => true,
            'lazy_loading' => true,
            'response_compression' => true,
            'streaming_responses' => false,
        ];
    }

    public function optimizeAgentResponse(string $agentId, string $query, callable $responseGenerator): array
    {
        $startTime = microtime(true);

        // Try cache first
        if ($this->optimizationStrategies['cache_responses']) {
            $cacheKey = $this->generateCacheKey($agentId, $query);
            $cachedResponse = $this->cache->get($cacheKey);

            if ($cachedResponse !== null) {
                return [
                    'response' => $cachedResponse,
                    'cached' => true,
                    'execution_time' => microtime(true) - $startTime,
                ];
            }
        }

        // Generate response with optimizations
        $response = $this->executeWithOptimizations($responseGenerator);

        // Cache the response
        if ($this->optimizationStrategies['cache_responses']) {
            $this->cache->set($cacheKey, $response, 3600); // Cache for 1 hour
        }

        return [
            'response' => $response,
            'cached' => false,
            'execution_time' => microtime(true) - $startTime,
        ];
    }

    private function executeWithOptimizations(callable $responseGenerator): array
    {
        if ($this->optimizationStrategies['parallel_execution']) {
            return $this->executeInParallel($responseGenerator);
        }

        return $responseGenerator();
    }

    private function executeInParallel(callable $responseGenerator): array
    {
        // Implement parallel execution using ReactPHP or similar
        $promises = [];

        // Break down the response generation into parallel tasks
        $tasks = $this->identifyParallelTasks($responseGenerator);

        foreach ($tasks as $task) {
            $promises[] = $this->executeAsync($task);
        }

        // Wait for all tasks to complete
        $results = Promise::all($promises)->wait();

        // Combine results
        return $this->combineResults($results);
    }

    private function generateCacheKey(string $agentId, string $query): string
    {
        return "agent_response:{$agentId}:" . hash('sha256', $query);
    }
}

Memory-Efficient Agent Processing

php

<?php
// src/AgenticAI/Performance/MemoryEfficientAgent.php

class MemoryEfficientAgent
{
    private array $contextWindow = [];
    private int $maxContextSize;
    private array $compressionStrategies = [];

    public function __construct(int $maxContextSize = 1000)
    {
        $this->maxContextSize = $maxContextSize;
        $this->initializeCompressionStrategies();
    }

    private function initializeCompressionStrategies(): void
    {
        $this->compressionStrategies = [
            'summarization' => new ContextSummarizer(),
            'pruning' => new ContextPruner(),
            'compression' => new ContextCompressor(),
        ];
    }

    public function processWithMemoryManagement(array $input, array $context = []): array
    {
        $startMemory = memory_get_usage(true);

        try {
            // Manage context window
            $optimizedContext = $this->manageContextWindow($context);

            // Process with optimized context
            $result = $this->processInput($input, $optimizedContext);

            // Update context window
            $this->updateContextWindow($input, $result);

            return [
                'result' => $result,
                'memory_used' => memory_get_usage(true) - $startMemory,
                'context_size' => count($optimizedContext),
            ];
        } finally {
            // Force garbage collection
            if (function_exists('gc_collect_cycles')) {
                gc_collect_cycles();
            }
        }
    }

    private function manageContextWindow(array $context): array
    {
        if (count($context) <= $this->maxContextSize) {
            return $context;
        }

        // Apply compression strategies
        $compressed = $context;

        foreach ($this->compressionStrategies as $strategy) {
            if (count($compressed) <= $this->maxContextSize) {
                break;
            }

            $compressed = $strategy->compress($compressed, $this->maxContextSize);
        }

        return $compressed;
    }

    private function processInput(array $input, array $context): array
    {
        // Implement efficient processing logic
        // This would typically involve AI model inference

        return [
            'processed_input' => $input,
            'context_used' => count($context),
            'processing_time' => microtime(true),
        ];
    }

    private function updateContextWindow(array $input, array $result): void
    {
        $this->contextWindow[] = [
            'input' => $input,
            'result' => $result,
            'timestamp' => time(),
        ];

        // Maintain window size
        while (count($this->contextWindow) > $this->maxContextSize) {
            array_shift($this->contextWindow);
        }
    }

    public function getMemoryStats(): array
    {
        return [
            'context_window_size' => count($this->contextWindow),
            'max_context_size' => $this->maxContextSize,
            'memory_usage' => memory_get_usage(true),
            'peak_memory' => memory_get_peak_usage(true),
        ];
    }
}

class ContextSummarizer
{
    public function compress(array $context, int $targetSize): array
    {
        if (count($context) <= $targetSize) {
            return $context;
        }

        // Group similar contexts and summarize
        $groups = $this->groupSimilarContexts($context);
        $summarized = [];

        foreach ($groups as $group) {
            if (count($group) > 1) {
                $summarized[] = $this->summarizeGroup($group);
            } else {
                $summarized[] = $group[0];
            }
        }

        return array_slice($summarized, -$targetSize);
    }

    private function groupSimilarContexts(array $context): array
    {
        // Simple grouping by similarity (could use more sophisticated methods)
        $groups = [];

        foreach ($context as $item) {
            $found = false;

            foreach ($groups as &$group) {
                if ($this->isSimilar($item, $group[0])) {
                    $group[] = $item;
                    $found = true;
                    break;
                }
            }

            if (!$found) {
                $groups[] = [$item];
            }
        }

        return $groups;
    }

    private function isSimilar(array $item1, array $item2): bool
    {
        // Simple similarity check (could be enhanced)
        $text1 = json_encode($item1);
        $text2 = json_encode($item2);

        similar_text($text1, $text2, $percent);

        return $percent > 70; // 70% similarity threshold
    }

    private function summarizeGroup(array $group): array
    {
        // Create a summary of the group
        return [
            'type' => 'summary',
            'original_count' => count($group),
            'summary' => 'Summarized ' . count($group) . ' similar items',
            'timestamp' => time(),
        ];
    }
}

Tool Execution Performance

Parallel Tool Execution

php

<?php
// src/AgenticAI/Performance/ParallelToolExecutor.php

class ParallelToolExecutor
{
    private array $tools = [];
    private int $maxConcurrency;
    private EventLoop $eventLoop;

    public function __construct(int $maxConcurrency = 10)
    {
        $this->maxConcurrency = $maxConcurrency;
        $this->eventLoop = Factory::create();
    }

    public function registerTool(string $name, callable $tool): void
    {
        $this->tools[$name] = $tool;
    }

    public function executeToolsInParallel(array $toolCalls): array
    {
        $promises = [];
        $semaphore = new Semaphore($this->maxConcurrency);

        foreach ($toolCalls as $index => $toolCall) {
            $promises[$index] = $semaphore->acquire()->then(function () use ($toolCall, $semaphore) {
                return $this->executeToolAsync($toolCall)->always(function () use ($semaphore) {
                    $semaphore->release();
                });
            });
        }

        return Promise::all($promises)->wait();
    }

    private function executeToolAsync(array $toolCall): Promise
    {
        return new Promise(function ($resolve, $reject) use ($toolCall) {
            $toolName = $toolCall['name'];
            $parameters = $toolCall['parameters'] ?? [];

            if (!isset($this->tools[$toolName])) {
                $reject(new InvalidArgumentException("Tool '{$toolName}' not found"));
                return;
            }

            try {
                $startTime = microtime(true);
                $result = ($this->tools[$toolName])($parameters);
                $executionTime = microtime(true) - $startTime;

                $resolve([
                    'tool' => $toolName,
                    'result' => $result,
                    'execution_time' => $executionTime,
                    'success' => true,
                ]);
            } catch (Exception $e) {
                $resolve([
                    'tool' => $toolName,
                    'error' => $e->getMessage(),
                    'execution_time' => microtime(true) - $startTime,
                    'success' => false,
                ]);
            }
        });
    }

    public function executeBatchWithPriority(array $toolCalls, array $priorities = []): array
    {
        // Sort by priority
        usort($toolCalls, function ($a, $b) use ($priorities) {
            $priorityA = $priorities[$a['name']] ?? 0;
            $priorityB = $priorities[$b['name']] ?? 0;

            return $priorityB <=> $priorityA; // Higher priority first
        });

        return $this->executeToolsInParallel($toolCalls);
    }

    public function getExecutionStats(): array
    {
        return [
            'registered_tools' => count($this->tools),
            'max_concurrency' => $this->maxConcurrency,
            'memory_usage' => memory_get_usage(true),
        ];
    }
}

class Semaphore
{
    private int $permits;
    private array $waitingQueue = [];

    public function __construct(int $permits)
    {
        $this->permits = $permits;
    }

    public function acquire(): Promise
    {
        if ($this->permits > 0) {
            $this->permits--;
            return Promise::resolve();
        }

        return new Promise(function ($resolve) {
            $this->waitingQueue[] = $resolve;
        });
    }

    public function release(): void
    {
        if (!empty($this->waitingQueue)) {
            $resolve = array_shift($this->waitingQueue);
            $resolve();
        } else {
            $this->permits++;
        }
    }
}

Tool Result Caching

php

<?php
// src/AgenticAI/Performance/ToolResultCache.php

class ToolResultCache
{
    private CacheInterface $cache;
    private array $cacheStrategies = [];
    private array $cacheTtls = [];

    public function __construct(CacheInterface $cache)
    {
        $this->cache = $cache;
        $this->initializeDefaultStrategies();
    }

    private function initializeDefaultStrategies(): void
    {
        $this->cacheStrategies = [
            'deterministic' => true,  // Cache deterministic tools
            'expensive' => true,      // Cache expensive operations
            'frequent' => true,       // Cache frequently used tools
        ];

        $this->cacheTtls = [
            'default' => 3600,       // 1 hour
            'expensive' => 86400,    // 24 hours
            'frequent' => 1800,      // 30 minutes
        ];
    }

    public function setCachingStrategy(string $toolName, array $strategy): void
    {
        $this->cacheStrategies[$toolName] = $strategy;
    }

    public function setCacheTtl(string $toolName, int $ttl): void
    {
        $this->cacheTtls[$toolName] = $ttl;
    }

    public function executeWithCache(string $toolName, array $parameters, callable $toolFunction): array
    {
        if (!$this->shouldCache($toolName, $parameters)) {
            return $this->executeDirectly($toolFunction, $parameters);
        }

        $cacheKey = $this->generateCacheKey($toolName, $parameters);
        $cachedResult = $this->cache->get($cacheKey);

        if ($cachedResult !== null) {
            return [
                'result' => $cachedResult['result'],
                'cached' => true,
                'cache_hit' => true,
                'execution_time' => 0,
                'original_execution_time' => $cachedResult['execution_time'],
            ];
        }

        // Execute and cache
        $result = $this->executeDirectly($toolFunction, $parameters);

        if ($result['success']) {
            $ttl = $this->getCacheTtl($toolName);
            $this->cache->set($cacheKey, [
                'result' => $result['result'],
                'execution_time' => $result['execution_time'],
                'timestamp' => time(),
            ], $ttl);
        }

        $result['cached'] = true;
        $result['cache_hit'] = false;

        return $result;
    }

    private function shouldCache(string $toolName, array $parameters): bool
    {
        $strategy = $this->cacheStrategies[$toolName] ?? $this->cacheStrategies;

        // Check if tool is deterministic
        if (isset($strategy['deterministic']) && !$strategy['deterministic']) {
            return false;
        }

        // Check if parameters contain non-cacheable data
        if ($this->containsNonCacheableData($parameters)) {
            return false;
        }

        return true;
    }

    private function containsNonCacheableData(array $parameters): bool
    {
        $nonCacheableKeys = ['timestamp', 'random', 'nonce', 'current_time'];

        foreach ($parameters as $key => $value) {
            if (in_array(strtolower($key), $nonCacheableKeys)) {
                return true;
            }

            if (is_array($value) && $this->containsNonCacheableData($value)) {
                return true;
            }
        }

        return false;
    }

    private function generateCacheKey(string $toolName, array $parameters): string
    {
        // Sort parameters for consistent cache keys
        ksort($parameters);

        return "tool_cache:{$toolName}:" . hash('sha256', json_encode($parameters));
    }

    private function getCacheTtl(string $toolName): int
    {
        return $this->cacheTtls[$toolName] ?? $this->cacheTtls['default'];
    }

    private function executeDirectly(callable $toolFunction, array $parameters): array
    {
        $startTime = microtime(true);

        try {
            $result = $toolFunction($parameters);

            return [
                'result' => $result,
                'success' => true,
                'execution_time' => microtime(true) - $startTime,
            ];
        } catch (Exception $e) {
            return [
                'error' => $e->getMessage(),
                'success' => false,
                'execution_time' => microtime(true) - $startTime,
            ];
        }
    }

    public function invalidateToolCache(string $toolName): bool
    {
        $pattern = "tool_cache:{$toolName}:*";

        // This would need to be implemented based on your cache backend
        // For Redis: $this->cache->deletePattern($pattern);

        return true;
    }

    public function getCacheStats(): array
    {
        return [
            'cache_strategies' => count($this->cacheStrategies),
            'configured_ttls' => count($this->cacheTtls),
            'memory_usage' => memory_get_usage(true),
        ];
    }
}

Multi-Agent Performance

Agent Coordination Optimization

php

<?php
// src/AgenticAI/Performance/AgentCoordinator.php

class AgentCoordinator
{
    private array $agents = [];
    private array $taskQueue = [];
    private array $completedTasks = [];
    private int $maxConcurrentAgents;

    public function __construct(int $maxConcurrentAgents = 5)
    {
        $this->maxConcurrentAgents = $maxConcurrentAgents;
    }

    public function registerAgent(string $agentId, AgentInterface $agent, array $capabilities = []): void
    {
        $this->agents[$agentId] = [
            'agent' => $agent,
            'capabilities' => $capabilities,
            'status' => 'idle',
            'current_task' => null,
            'performance_stats' => [
                'tasks_completed' => 0,
                'average_execution_time' => 0,
                'error_rate' => 0,
            ],
        ];
    }

    public function distributeTasks(array $tasks): array
    {
        $startTime = microtime(true);

        // Analyze tasks and assign to optimal agents
        $assignments = $this->optimizeTaskAssignment($tasks);

        // Execute tasks in parallel
        $results = $this->executeTasksInParallel($assignments);

        // Update performance statistics
        $this->updatePerformanceStats($results);

        return [
            'results' => $results,
            'execution_time' => microtime(true) - $startTime,
            'task_count' => count($tasks),
            'agent_utilization' => $this->calculateAgentUtilization(),
        ];
    }

    private function optimizeTaskAssignment(array $tasks): array
    {
        $assignments = [];

        foreach ($tasks as $task) {
            $bestAgent = $this->findBestAgentForTask($task);

            if ($bestAgent) {
                $assignments[] = [
                    'agent_id' => $bestAgent,
                    'task' => $task,
                    'priority' => $task['priority'] ?? 0,
                ];
            }
        }

        // Sort by priority
        usort($assignments, fn($a, $b) => $b['priority'] <=> $a['priority']);

        return $assignments;
    }

    private function findBestAgentForTask(array $task): ?string
    {
        $requiredCapabilities = $task['required_capabilities'] ?? [];
        $candidates = [];

        foreach ($this->agents as $agentId => $agentData) {
            if ($agentData['status'] === 'busy') {
                continue;
            }

            // Check if agent has required capabilities
            $hasCapabilities = true;
            foreach ($requiredCapabilities as $capability) {
                if (!in_array($capability, $agentData['capabilities'])) {
                    $hasCapabilities = false;
                    break;
                }
            }

            if ($hasCapabilities) {
                $candidates[$agentId] = $this->calculateAgentScore($agentId, $task);
            }
        }

        if (empty($candidates)) {
            return null;
        }

        // Return agent with highest score
        arsort($candidates);
        return array_key_first($candidates);
    }

    private function calculateAgentScore(string $agentId, array $task): float
    {
        $agentData = $this->agents[$agentId];
        $stats = $agentData['performance_stats'];

        $score = 100; // Base score

        // Factor in performance metrics
        $score += (1 - $stats['error_rate']) * 50; // Lower error rate = higher score
        $score -= $stats['average_execution_time']; // Faster execution = higher score
        $score += $stats['tasks_completed'] * 0.1; // Experience bonus

        // Factor in task complexity
        $complexity = $task['complexity'] ?? 1;
        $score -= $complexity * 10;

        return $score;
    }

    private function executeTasksInParallel(array $assignments): array
    {
        $promises = [];
        $activeAgents = 0;

        foreach ($assignments as $assignment) {
            if ($activeAgents >= $this->maxConcurrentAgents) {
                // Wait for an agent to become available
                Promise::race($promises)->wait();
                $activeAgents--;
            }

            $promises[] = $this->executeTaskAsync($assignment);
            $activeAgents++;
        }

        // Wait for all tasks to complete
        return Promise::all($promises)->wait();
    }

    private function executeTaskAsync(array $assignment): Promise
    {
        return new Promise(function ($resolve) use ($assignment) {
            $agentId = $assignment['agent_id'];
            $task = $assignment['task'];

            $this->agents[$agentId]['status'] = 'busy';
            $this->agents[$agentId]['current_task'] = $task;

            $startTime = microtime(true);

            try {
                $agent = $this->agents[$agentId]['agent'];
                $result = $agent->executeTask($task);

                $executionTime = microtime(true) - $startTime;

                $resolve([
                    'agent_id' => $agentId,
                    'task_id' => $task['id'] ?? uniqid(),
                    'result' => $result,
                    'execution_time' => $executionTime,
                    'success' => true,
                ]);
            } catch (Exception $e) {
                $resolve([
                    'agent_id' => $agentId,
                    'task_id' => $task['id'] ?? uniqid(),
                    'error' => $e->getMessage(),
                    'execution_time' => microtime(true) - $startTime,
                    'success' => false,
                ]);
            } finally {
                $this->agents[$agentId]['status'] = 'idle';
                $this->agents[$agentId]['current_task'] = null;
            }
        });
    }

    private function updatePerformanceStats(array $results): void
    {
        foreach ($results as $result) {
            $agentId = $result['agent_id'];
            $stats = &$this->agents[$agentId]['performance_stats'];

            $stats['tasks_completed']++;

            // Update average execution time
            $currentAvg = $stats['average_execution_time'];
            $newTime = $result['execution_time'];
            $count = $stats['tasks_completed'];

            $stats['average_execution_time'] = (($currentAvg * ($count - 1)) + $newTime) / $count;

            // Update error rate
            if (!$result['success']) {
                $errorCount = $stats['error_rate'] * ($count - 1) + 1;
                $stats['error_rate'] = $errorCount / $count;
            } else {
                $errorCount = $stats['error_rate'] * ($count - 1);
                $stats['error_rate'] = $errorCount / $count;
            }
        }
    }

    private function calculateAgentUtilization(): array
    {
        $utilization = [];

        foreach ($this->agents as $agentId => $agentData) {
            $stats = $agentData['performance_stats'];
            $utilization[$agentId] = [
                'status' => $agentData['status'],
                'tasks_completed' => $stats['tasks_completed'],
                'average_execution_time' => $stats['average_execution_time'],
                'error_rate' => $stats['error_rate'] * 100, // Convert to percentage
            ];
        }

        return $utilization;
    }

    public function getPerformanceReport(): array
    {
        return [
            'total_agents' => count($this->agents),
            'active_agents' => count(array_filter($this->agents, fn($a) => $a['status'] === 'busy')),
            'agent_utilization' => $this->calculateAgentUtilization(),
            'system_performance' => [
                'memory_usage' => memory_get_usage(true),
                'peak_memory' => memory_get_peak_usage(true),
            ],
        ];
    }
}

interface AgentInterface
{
    public function executeTask(array $task): array;
    public function getCapabilities(): array;
    public function getStatus(): string;
}

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Performance Monitoring

AI-Specific Metrics

php

<?php
// src/AgenticAI/Performance/AiMetricsCollector.php

class AiMetricsCollector
{
    private PrometheusMetrics $metrics;
    private array $customMetrics = [];

    public function __construct(PrometheusMetrics $metrics)
    {
        $this->metrics = $metrics;
        $this->registerAiMetrics();
    }

    private function registerAiMetrics(): void
    {
        // Agent-specific metrics
        $this->metrics->registerCounter(
            'ai_agent_requests_total',
            'Total number of agent requests',
            ['agent_id', 'status']
        );

        $this->metrics->registerHistogram(
            'ai_agent_response_time_seconds',
            'Agent response time in seconds',
            ['agent_id'],
            [0.1, 0.5, 1, 2, 5, 10, 30]
        );

        $this->metrics->registerGauge(
            'ai_agent_memory_usage_bytes',
            'Agent memory usage in bytes',
            ['agent_id']
        );

        // Tool execution metrics
        $this->metrics->registerCounter(
            'ai_tool_executions_total',
            'Total number of tool executions',
            ['tool_name', 'agent_id', 'status']
        );

        $this->metrics->registerHistogram(
            'ai_tool_execution_time_seconds',
            'Tool execution time in seconds',
            ['tool_name'],
            [0.01, 0.1, 0.5, 1, 2, 5]
        );

        // Context management metrics
        $this->metrics->registerGauge(
            'ai_context_window_size',
            'Current context window size',
            ['agent_id']
        );

        $this->metrics->registerCounter(
            'ai_context_compressions_total',
            'Total number of context compressions',
            ['agent_id', 'strategy']
        );
    }

    public function recordAgentRequest(string $agentId, float $responseTime, bool $success): void
    {
        $status = $success ? 'success' : 'error';

        $this->metrics->incrementCounter('ai_agent_requests_total', [$agentId, $status]);
        $this->metrics->recordHistogram('ai_agent_response_time_seconds', $responseTime, [$agentId]);

        // Record memory usage
        $memoryUsage = memory_get_usage(true);
        $this->metrics->setGauge('ai_agent_memory_usage_bytes', $memoryUsage, [$agentId]);
    }

    public function recordToolExecution(string $toolName, string $agentId, float $executionTime, bool $success): void
    {
        $status = $success ? 'success' : 'error';

        $this->metrics->incrementCounter('ai_tool_executions_total', [$toolName, $agentId, $status]);
        $this->metrics->recordHistogram('ai_tool_execution_time_seconds', $executionTime, [$toolName]);
    }

    public function recordContextMetrics(string $agentId, int $contextSize, string $compressionStrategy = null): void
    {
        $this->metrics->setGauge('ai_context_window_size', $contextSize, [$agentId]);

        if ($compressionStrategy) {
            $this->metrics->incrementCounter('ai_context_compressions_total', [$agentId, $compressionStrategy]);
        }
    }

    public function recordCustomMetric(string $name, $value, array $labels = []): void
    {
        $this->customMetrics[$name] = [
            'value' => $value,
            'labels' => $labels,
            'timestamp' => time(),
        ];
    }

    public function getPerformanceInsights(): array
    {
        return [
            'top_performing_agents' => $this->getTopPerformingAgents(),
            'slowest_tools' => $this->getSlowestTools(),
            'memory_usage_trends' => $this->getMemoryUsageTrends(),
            'error_patterns' => $this->getErrorPatterns(),
        ];
    }

    private function getTopPerformingAgents(): array
    {
        // This would query the metrics backend to get top performing agents
        // For now, return mock data
        return [
            'agent_1' => ['avg_response_time' => 0.5, 'success_rate' => 98.5],
            'agent_2' => ['avg_response_time' => 0.7, 'success_rate' => 97.2],
            'agent_3' => ['avg_response_time' => 0.9, 'success_rate' => 96.8],
        ];
    }

    private function getSlowestTools(): array
    {
        return [
            'database_query' => ['avg_time' => 2.3, 'executions' => 1250],
            'api_call' => ['avg_time' => 1.8, 'executions' => 890],
            'file_processing' => ['avg_time' => 1.2, 'executions' => 456],
        ];
    }

    private function getMemoryUsageTrends(): array
    {
        return [
            'current_usage' => memory_get_usage(true),
            'peak_usage' => memory_get_peak_usage(true),
            'trend' => 'increasing', // This would be calculated from historical data
        ];
    }

    private function getErrorPatterns(): array
    {
        return [
            'timeout_errors' => 15,
            'authentication_errors' => 8,
            'validation_errors' => 23,
            'system_errors' => 4,
        ];
    }
}

Performance Best Practices

1. Response Optimization

Implement intelligent caching strategies
Use parallel processing where possible
Optimize context window management
Implement response streaming for long operations

2. Memory Management

Monitor and limit memory usage
Implement context compression
Use garbage collection strategically
Pool resources where possible

3. Tool Execution

Cache deterministic tool results
Execute tools in parallel when possible
Implement timeout and retry mechanisms
Monitor tool performance metrics

4. Multi-Agent Coordination

Optimize task assignment algorithms
Balance agent workloads
Implement efficient communication patterns
Monitor system-wide performance

Next Steps

Security - AI security considerations
Multi-Agent Systems - Advanced coordination patterns
Best Practices - General AI development guidelines

Optimize your AI agents for maximum performance! ⚡

Agentic AI Performance ​

Overview ​

Agent Performance Fundamentals ​

Response Time Optimization ​

Memory-Efficient Agent Processing ​

Tool Execution Performance ​

Parallel Tool Execution ​

Tool Result Caching ​

Multi-Agent Performance ​

Agent Coordination Optimization ​

Performance Monitoring ​

AI-Specific Metrics ​

Performance Best Practices ​

1. Response Optimization ​

2. Memory Management ​

3. Tool Execution ​

4. Multi-Agent Coordination ​

Next Steps ​