Part II Select AI Agent

• Select AI Agent
  Select AI Agent (autonomous agent framework) enables you to build interactive and autonomous agents inside Autonomous AI Database, combining planning, tool use, reflection, and memory to deliver multi-turn workflows.
• Select AI Agent for Python
  Select AI Agent for Python builds on the Select AI for Python client library, select_ai, enabling you to leverage DBMS_CLOUD_AI features within Autonomous AI Database directly from Python. The module extends support for advanced generative AI workflows and agent-based automation through the select_ai.agent submodule.
• Select AI Agent Concepts
  Explores the concepts and terms related to Select AI Agent (autonomous agent framework).
• Select AI Agent Use Cases
  Select AI Agent supports practical scenarios across roles: connect external services, build task-focused automation with PL/SQL tools, and enable conversational access to data using natural-language interactions.
• Prerequisites for Using Select AI Agent
  Before you use Select AI Agent, you must have privileges to use the DBMS_CLOUD_AI_AGENT package and all other privileges that are required for Select AI.
• Getting Started with Select AI Agent
  To get started, review the prerequisites and the tasks that you need to perform to use Select AI Agent.
• How Do I Use Select AI Agent
  You can use Select AI Agent by using the agent action or the DBMS_CLOUD_AI_AGENT.RUN_TEAM function.
• Examples of Using Select AI Agent
  Explore examples that show how to build, configure, and interact with Select AI Agent for common tasks such as movie analysis, log analysis and customer support.