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DSPy for AI Agentic Apps: Building Robust LLM Agents with Composable Pipelines

by Timothy Kertzmann
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Current price ₹1,594.00
Original price ₹1,677.00
Original price ₹1,677.00
Original price ₹1,677.00
(-5%)
₹1,594.00
Current price ₹1,594.00

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Book cover type: Paperback
  • ISBN13: 9798289314390
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 216
  • Original Price: GBP 12.85
  • Language: English
  • Edition: N/A
  • Item Weight: 381 grams
  • BISAC Subject(s): Data Science / Neural Networks

Are you ready to build intelligent, autonomous AI agents that go beyond simple chatbots? DSPy for AI Agentic Apps: Building Robust LLM Agents with Composable Pipelines equips you with the tools and knowledge to create powerful, scalable agentic applications using the DSPy framework.

This book offers a clear, hands-on approach to designing, developing, and deploying advanced AI agents capable of multi-step reasoning, dynamic memory, and ethical decision-making. You'll learn how to construct modular pipelines, integrate real-time retrieval and plugin systems, implement self-debugging and auto-scaling features, and manage production deployments with best practices in CI/CD and observability.

What makes this book essential?

  • Foundations: Setting up DSPy, configuring LLMs, and building your first standalone agents.

  • Composable Pipelines: Mastering ReAct chains, retrieval-augmented generation, and streaming outputs.

  • Reliability & Intent Validation: Writing assertions, handling failures, and correcting hallucinations automatically.

  • Prompt Optimization: Using evaluation metrics and DSPy's optimizer to refine workflows.

  • Scaling & Deployment: Asynchronous pipelines, batching, containerization, and Kubernetes orchestration.

  • Multi-Agent & Memory Management: Coordinating agent communications and managing conversational state effectively.

  • Ethics & Compliance: Building ethical guardrails, rate limiting, privacy safeguards, and GDPR/HIPAA flows.

  • Future Trends & Community: Exploring upcoming generative architectures, self-managing agents, and how to engage with the DSPy ecosystem.

  • Final Project: Bringing it all together with a full agentic assistant-DSPy Co-Pilot.

Whether you are a developer, AI engineer, or data scientist, this book provides actionable guidance with clear explanations and runnable code to accelerate your mastery of agentic AI development.

Take control of your AI projects with a framework designed for robustness, flexibility, and real-world challenges. Start building the intelligent agents your applications deserve today.

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