Building robust agents requires moving beyond simple loops. AI engineers utilize specific architectural patterns to handle complex reasoning. ReAct (Reason + Act)
The agent drafts an entire macro-strategy before initiating the first sub-task. Memory Systems the agentic ai bible pdf
Writing and executing Python scripts to solve mathematical or data-analysis problems. Building robust agents requires moving beyond simple loops
User Goal: "Find the latest research on Agentic AI and email a summary to my boss." Memory Systems Writing and executing Python scripts to
Multi-agent reasoning loops can rapidly consume millions of input/output tokens, making cost management crucial. Summary Blueprint Capability Focus Area Phase 1 Chatbots & Assistants Basic Q&A, retrieval, manual copy-pasting. Phase 2 Advanced RAG Deep document search, contextual enterprise understanding. Phase 3 Single-Agent Automation
tools = [ Tool(name="Search", func=google_search, description="Useful for current events"), Tool(name="Calculator", func=lambda x: eval(x), description="Use for math") ]