Summary

In this chapter, we covered how to select and configure the model behind each agent. We learned how to adjust the model and model settings for each agent. We learned how to integrate third-party models via LiteLLM, enabling easy switching between providers such as Claude, Gemini, and LLaMA. Finally, we introduced local context, a way to give agents access to sensitive or session-specific data without including it in the model prompt.

Together, these techniques give you full control over how your agents think and respond. In the next chapter, we’ll shift focus to managing, administering, and securing your agents. You’ll learn how to monitor agent activity, enforce guardrails, and apply best practices for governance in production environments.

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