"An AI agent typically performs the following steps in sequence: receives a goal, interprets the user's intent, plans actions, selects tools, executes tools, observes results, refines strategy, iterates the process, produces a final answer, and terminates safely."
"An agent accepts a user request, uses an LLM to interpret what the user really wants, and decides if it can respond directly or if it needs external support."
"Once a request is accepted, the agent chooses the tools it will use from the set provided, calls tools for any information it needs, and receives and incorporates that output into its working context."
Spring AI enables Java developers to integrate AI capabilities into Spring applications. An AI agent goes beyond simple interactions by following a sequence of tasks known as the agent loop. This loop includes receiving a goal, interpreting user intent, planning actions, selecting and executing tools, observing results, refining strategy, and producing a final answer. By utilizing Spring AI, developers can create robust agents that effectively handle user requests and utilize large language models for enhanced functionality.
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