Role of LLMs in agentic systemsModel selection: choosing the right foundationContext window sizeModel size and specialization for agentsNative support for tool use and function callingModel robustness, reliability, and safetyAdaptability and fine-tuning potentialOther key selection considerationsDeployment and performance optimization for agentsServing architectures for agentic LLMsCloud-hosted APIsSelf-hosted modelsEdge deploymentPerformance optimization strategiesLatency reductionThroughput maximizationCost optimizationOptimizing for tool interactionSecurity considerations in LLM deployment for agentsAgentOps: managing LLMs in agentic systemsSummary