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Playbook/TutorialsAnthropic Agent SDK — Production Playbook
Anthropic Developer Relations35 minApril 1, 2026
A deep-dive into building production agents with Anthropic's Agent SDK. Patterns, pitfalls, and performance optimization.
Key Takeaways
- Agent loops should be idempotent — design for retries from the start
- Tool timeout handling is more important than tool implementation
- Streaming reduces perceived latency by 60% for end users
- Cost scales linearly with conversation length — manage context aggressively
Overview
This playbook is designed for engineering teams deploying agents built with the Anthropic Agent SDK. It covers the full lifecycle — from initial architecture decisions to production monitoring and cost optimization.
You'll learn how to structure agent loops for reliability, implement graceful degradation when tools fail, manage conversation state across sessions, and optimize token usage without sacrificing quality. Includes benchmarks, configuration recipes, and integration patterns for common infrastructure.
What's covered
01Architecture overview
02Agent loop design patterns
03Tool implementation best practices
04State management across sessions
05Error handling and graceful degradation
06Token optimization strategies
07Monitoring and observability
08Cost management at scale
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