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azure-openai-patterns

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Efficient Azure OpenAI patterns for reliability

Software Engineering#azure#openai#error-handling#rate-limiting#token-optimization#function-calling#backoff
Authorfabioc-aloha
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Azure OpenAI users often face fragmented tactics for rate limits, token budgeting, and error handling. This Skill provides a consolidated set of practical patterns to improve reliability, efficiency, and predictability when using Azure OpenAI APIs.

Core Features & Use Cases

  • Rate limiting patterns and status handling to avoid 429s and ensure smooth operation under heavy load.
  • Function calling design patterns to orchestrate tool calls with batching, retries, and robust failures.
  • Token optimization guidance to minimize costs while maintaining response quality across common LLM tasks.
  • Use Case: For a chat-based assistant hitting Azure OpenAI, apply these patterns to manage quota, control token consumption, and gracefully handle service errors.

Quick Start

Apply these Azure OpenAI patterns to your integration to improve reliability, performance, and cost efficiency.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: azure-openai-patterns
Download link: https://github.com/fabioc-aloha/AlexMedia/archive/main.zip#azure-openai-patterns

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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