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docs: Document use cases for Responses and Agents APIs

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docs/source/building_applications/index.md
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@ -11,6 +11,7 @@ Here are some key topics that will help you build effective agents:
- **[RAG (Retrieval-Augmented Generation)](rag)**: Learn how to enhance your agents with external knowledge through retrieval mechanisms.
- **[Agent](agent)**: Understand the components and design patterns of the Llama Stack agent framework.
- **[Agent Execution Loop](agent_execution_loop)**: Understand how agents process information, make decisions, and execute actions in a continuous loop.
- **[Agents vs Responses API](responses_vs_agents)**: Learn the differences between the Agents API and Responses API, and when to use each one.
- **[Tools](tools)**: Extend your agents' capabilities by integrating with external tools and APIs.
- **[Evals](evals)**: Evaluate your agents' effectiveness and identify areas for improvement.
- **[Telemetry](telemetry)**: Monitor and analyze your agents' performance and behavior.
@ -23,6 +24,7 @@ Here are some key topics that will help you build effective agents:
rag
agent
agent_execution_loop
responses_vs_agents
tools
evals
telemetry