II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--agent-performance-optimization
agent-performance-optimization overview
Agent Performance Optimization - Process for optimizing AI agent performance including latency reduction, throughput improvements, response streaming, and inference optimization.
Attributes
displayName
agent-performance-optimization
description
Agent Performance Optimization - Process for optimizing AI agent performance including
latency reduction, throughput improvements, response streaming, and inference optimization.
libraryPath
library/specializations/ai-agents-conversational/agent-performance-optimization.js
specialization
ai-agents-conversational
references
- - vLLM: https://docs.vllm.ai/ - TensorRT-LLM: https://nvidia.github.io/TensorRT-LLM/ - DeepSpeed: https://www.deepspeed.ai/
example
const result = await orchestrate('specializations/ai-agents-conversational/agent-performance-optimization', {
agentName: 'production-agent',
performanceGoals: { maxLatencyP95: 500, targetThroughput: 100 },
currentMetrics: { avgLatency: 1200, throughput: 50 }
});
usesAgents
- latency-optimizer
- streaming-optimizer
- throughput-optimizer
- inference-optimizer
- benchmark-runner
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:agent-evaluation-cycle·WorkflowAgent Evaluation Cycle
lib_requires_skill_area1
- skill-area:caching-strategies·SkillAreaCaching
uses_agent1
- lib-agent:ai-agents-conversational--latency-optimizer·LibraryAgentlatency-optimizer
Incoming edges
None.