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OpenAI To Anthropic Claude Migration Guide

clade-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a deep dive into migrating applications from OpenAI's GPT models to Anthropic's Claude API. It covers crucial API differences, including endpoint changes, response structure updates, handling the system prompt, tool use restructuring, and necessary SDK code swaps (e.g., TypeScript examples). Essential resource for developers transitioning AI backends.

Claude API Performance Optimization Guide

clade-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines advanced strategies to optimize latency and throughput when integrating Anthropic's Claude API. Learn critical techniques such as streaming responses, prompt caching, model selection (Haiku, Sonnet, Opus), and request parallelization, ensuring your applications provide a low-latency, high-performance user experience.

Claude Code Plugin Architecture Guide

clade-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the full plugin architecture for extending Claude Code. Learn how to build various extension points, including auto-activating skills, slash commands, specialized agents, and Model Context Protocol (MCP) servers. It serves as the definitive reference for integrating custom tools and workflows into the Claude ecosystem.

Migrate Anthropic Models And SDKs

clade-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers on upgrading the Anthropic SDK versions and migrating between different Claude model generations. It covers best practices for version checking, reviewing breaking changes, updating model IDs across the codebase, running output comparison tests, and implementing gradual rollouts using environment variables to ensure stable deployment.

Anthropic API Error Handling and Debugging

clade-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for diagnosing and fixing common errors encountered when integrating with the Anthropic API (Claude). It covers critical issues such as authentication failures (401), rate limiting (429), server overload (529), invalid requests, and context window limits. Includes practical code solutions and best practices for robust API integration.

Building Fault-Tolerant AI Integrations

clade-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to building fault-tolerant integrations with Claude. It details advanced patterns such as built-in SDK retries, model fallback chains, circuit breakers, graceful degradation, and timeout mechanisms. Use this guide to design resilient systems that maintain availability even when the underlying API encounters failures.

Anthropic Claude API CI/CD Testing

anth-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive guide for integrating Anthropic Claude APIs into robust CI/CD pipelines. It includes mock-based unit tests for fast, reliable validation, as well as live prompt regression tests for ensuring output consistency on the main branch. Ideal for developers maintaining automated, Claude-powered features.

Debugging Anthropic Claude API Errors

anth-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive reference guide for diagnosing and fixing common Anthropic Claude API errors, categorized by HTTP status codes (400, 429, 500, etc.). Includes specific error JSON patterns, root causes (e.g., role alternation, rate limits), suggested fixes, and code examples in Bash and Python for effective troubleshooting.

Claude API Load Testing and Capacity Planning

anth-load-scale

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

Migrating From OpenAI To Anthropic API

anth-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive deep dive into migrating applications from OpenAI (GPT) to Anthropic (Claude). It details critical API differences, including changes in system prompt handling, function calling formats, and response parsing. It also demonstrates how to build a robust, multi-provider abstraction layer for seamless LLM switching.

Anthropic Claude API Integration Architectures

anth-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides validated architectural patterns for integrating Claude API into production systems. Learn to implement synchronous API gateways, scalable asynchronous queue-based processing, and multi-model routing strategies. This guide helps developers design robust, high-volume, and fault-tolerant AI applications.

Secure Data Handling for AI APIs

anth-data-handling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive skill providing patterns for implementing data privacy, PII redaction, and robust audit logging when interacting with large language models like Claude. Use this when your application handles sensitive user data, requiring compliance with regulations such as GDPR or CCPA, ensuring all API calls are secure and auditable.

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