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Agentic Ai With Python: Designing Autonomous Agents Using Langgraph, Llamaindex, And Multi-Agent Orchestration
Agentic AI with PythonDesigning Autonomous Agents Using LangGraph, LlamaIndex, and Multi-Agent Orchestration Felix Williams
The definitive production playbook for the post-chatbot era — December 2025
In 2025, the most valuable AI systems no longer answer questions. They achieve goals.
They read legal filings and produce memos that partners sign without changes. They resolve 99 % of customer support tickets in under five minutes. They turn vague feature requests into tested, merged pull requests while you sleep. They maintain your lifelong knowledge base and act on your behalf before you realize you need it.
This is the only book that shows you, line by line, how the winning teams build them.
From a single stateful researcher that already outperforms human analysts to hierarchical crews that replaced entire departments at Klarna, Harvey, and Adept, every example is complete, runnable, production-hardened Python code you can deploy tomorrow.
You will
the only control plane trusted at scale for cycles, persistence, and turning static vector stores into mutable, lifelong agent memoryMulti-agent supervisor-worker hierarchies, debate systems, and hybrid crews that combine the best of AutoGen, CrewAI, and pure LangGraphReal-time streaming, rate-limit orchestration, circuit breakers, and deployment on FastAPI, Modal, and KubernetesPrompt-injection defense, tool sandboxing, PII redaction, and immutable audit trails that satisfy regulators and Fortune-500 security teamsLangSmith tracing, custom evaluators, and the 2026 benchmarks (GAIA, WebArena, Tau-Bench, Intercode) that separate toys from profit centersFour complete case studies of systems already generating millions in ROINo toy travel planners. No “hello world” ReAct loops. Every chapter delivers an agent you can put into production the same day.
Whether you are an AI engineer shipping internal tools, a startup founder automating your first knowledge-work process, or a technical leader deciding your company’s agent stack for the next five years, this is the graduation from assistants to autonomous actors.
The code is tested against the real 2025–2026 frontier models (o1-pro, Claude 3.7 Sonnet Thinking, Llama-3.3-405B) and runs today on your laptop or behind an enterprise firewall tomorrow.
Includes the complete companion repository with every chapter’s code, ready for immediate deployment.
The age of autonomous intelligence is here. This is the manual the winners are already using.
Welcome to the frontier.
The definitive production playbook for the post-chatbot era — December 2025
In 2025, the most valuable AI systems no longer answer questions. They achieve goals.
They read legal filings and produce memos that partners sign without changes. They resolve 99 % of customer support tickets in under five minutes. They turn vague feature requests into tested, merged pull requests while you sleep. They maintain your lifelong knowledge base and act on your behalf before you realize you need it.
This is the only book that shows you, line by line, how the winning teams build them.
From a single stateful researcher that already outperforms human analysts to hierarchical crews that replaced entire departments at Klarna, Harvey, and Adept, every example is complete, runnable, production-hardened Python code you can deploy tomorrow.
You will
the only control plane trusted at scale for cycles, persistence, and turning static vector stores into mutable, lifelong agent memoryMulti-agent supervisor-worker hierarchies, debate systems, and hybrid crews that combine the best of AutoGen, CrewAI, and pure LangGraphReal-time streaming, rate-limit orchestration, circuit breakers, and deployment on FastAPI, Modal, and KubernetesPrompt-injection defense, tool sandboxing, PII redaction, and immutable audit trails that satisfy regulators and Fortune-500 security teamsLangSmith tracing, custom evaluators, and the 2026 benchmarks (GAIA, WebArena, Tau-Bench, Intercode) that separate toys from profit centersFour complete case studies of systems already generating millions in ROINo toy travel planners. No “hello world” ReAct loops. Every chapter delivers an agent you can put into production the same day.
Whether you are an AI engineer shipping internal tools, a startup founder automating your first knowledge-work process, or a technical leader deciding your company’s agent stack for the next five years, this is the graduation from assistants to autonomous actors.
The code is tested against the real 2025–2026 frontier models (o1-pro, Claude 3.7 Sonnet Thinking, Llama-3.3-405B) and runs today on your laptop or behind an enterprise firewall tomorrow.
Includes the complete companion repository with every chapter’s code, ready for immediate deployment.
The age of autonomous intelligence is here. This is the manual the winners are already using.
Welcome to the frontier.
219 pages, Kindle Edition
Published December 8, 2025
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