LLMs Behind Agents

Understand how an LLM's fixed context window limits agent capabilities. Learn how token budgets affect conversation, tool use, and memory.

Learn to select LLMs for agents by understanding model cards. Evaluate context window, tool support, pricing, and latency to optimize agent performance and cost.

Compare major LLM providers like OpenAI, Anthropic, Google, and xAI for agent building. Evaluate tool calling, context, ecosystem, and operational trade-offs.

Learn when to use Ollama for local and self-hosted models in agent projects, balancing privacy, cost, and offline operation against reasoning quality and hardware demands.

Match agent task complexity to the right model tier. This guide helps route tasks to small, mid-tier, frontier, local, or specialized models.

Learn ten best practices for selecting, budgeting, and swapping LLMs for agents. Optimize model choice, manage costs, and ensure flexibility for agent brains.