Publisher's Synopsis
Practical AI Agents in Python: Step-by-Step Guide to Automating Tasks, Integrating APIs, and Enhancing Decision-Making
Are you ready to move beyond chatbots and build real Python AI agents that automate, integrate, and elevate your daily workflows?Whether you're a developer seeking to orchestrate complex API workflows or a data scientist eager to build smarter decision-making systems, Practical AI Agents in Python is your hands-on guide to building powerful, reliable agents that actually get things done. Imagine automating research, customer support, analytics, and more-all with reproducible patterns and robust code you can trust.
This book takes you step-by-step from environment setup to production deployment, demystifying the latest frameworks like LangChain, OpenAI Agents SDK, and Semantic Kernel. You'll discover how to:
Build and register your own Python tools for web scraping, data processing, and external API calls
Structure effective Thought-Action-Observation loops that reason, act, and adapt in real time
Integrate memory with vector stores like Pinecone and Weaviate for context-aware agents
Debug, test, and harden your agents with robust error handling, retries, and logging
Scale seamlessly using Docker, Kubernetes, and CI/CD for automated, production-grade operations
Implement advanced features like self-critique, reinforcement learning, and offline/on-device inference
What truly sets this book apart? Every chapter is a practical mini-tutorial, blending concise explanations with working code you can adapt right away. You'll find:
Real-world case studies: Automated literature reviews, multi-channel support bots, and more
Clear, reproducible examples-no pseudo-code, no "magic behind the scenes"
Proven patterns for reliability, extensibility, and observability
Essential best practices for agent orchestration, security, and cost management
Ready to transform your Python skills into tangible AI solutions? Whether you're automating business workflows, integrating diverse APIs, or enhancing decision-making with next-generation tools, Practical AI Agents in Python gives you the blueprint, the code, and the confidence to build agents that work-for you and your users.
