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Java Developer Builds ReACT-Pattern AI Agent System for Multi-Step Task Handling

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A developer has extended the Jarvis AI Platform to Phase 6 by implementing an AI agent system based on the ReACT (Reason + Act) pattern in Java. Unlike traditional single-request chatbots, the new system enables the AI to loop through thinking, acting, and observing steps before delivering a final answer. The agent layer was built as a completely separate orchestration stack — comprising AgentController, AgentOrchestrator, AgentExecutor, AgentPlanner, and ToolRegistry — leaving the existing chat pipeline untouched. A structured prompt acts as a contract between the AI model and a regex-based parser, ensuring reliable extraction of actions and inputs from model responses. The design allows the AI to handle complex, multi-step tasks such as researching, comparing, and summarizing information across multiple tool calls.

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