خرید و دانلود نسخه کامل کتاب FastAPI for AI Agent Development: Building Production-Grade AI Services with FastAPI: From API Fundamentals and Asynchronous Workflows to Secure, Scalable Deployments and Advanced Inference

آنتونی رابینز میگه : من در 40 سالگی به جایی رسیدم که برای رسیدن بهش 82 سال زمان لازمه و این رو مدیون کتاب خواندن زیاد هستم.

 
Build high‑performance AI services in Python with a framework that combines simplicity, speed, and scalability—no boilerplate, just real‑world results.Book SummaryFastAPI for AI Agent Development guides you through every stage of crafting production‑ready AI applications. You’ll start by mastering FastAPI’s intuitive type hints, automatic Swagger docs, and ultra‑fast asynchronous I/O. From there, you’ll layer in model‑calling patterns, secure authentication, and essential database integrations that ensure your APIs run reliably under pressure.As you advance, learn how to orchestrate large language models with the Model Context Protocol (MCP), stream chatbots via WebSockets, and optimize inference across CPU, GPU, and edge devices. Real‑world case studies—from containerized microservices on Kubernetes to TinyML deployments on Raspberry Pi—illustrate proven patterns that deliver measurable performance, uptime, and cost savings.What’s InsideEffortless API Creation: Step‑by‑step guides show you how to write, validate, and document endpoints with type‑safe Pydantic models and automatic OpenAPI specs—reducing errors and saving hours in development and reviews.Async & Scalable Architectures: Leverage Python’s async/await, HTTPX, and Uvicorn with Gunicorn workers to handle thousands of concurrent AI calls without blocking, keeping latency low even under unpredictable load.Secure, Robust Integrations: Implement OAuth2, JWT, TLS termination, security headers, and rate‑limiting middleware to protect sensitive data and maintain compliance—so you can sleep easy while your API secures itself.End‑to‑End Automation: Automate linting, testing, Docker builds, OpenAPI spec publication, and Dependabot security updates via GitHub Actions. Catch issues before they reach production and maintain a bulletproof CI/CD pipeline.Advanced Inference Patterns: Explore dynamic batching with NVIDIA Triton Server, hybrid CPU/GPU routing, and edge inference on IoT devices—maximizing throughput, minimizing costs, and delivering AI where it matters most.Ready to transform your AI prototypes into scalable, secure, and maintainable services? Get FastAPI for AI Agent Development now and start delivering impactful AI experiences that outpace the competition.