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ai_api_configs

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Deploy consistent AI API settings safely.

Software Engineering#environment variables#gemini#model configuration#dashscope#ai api#nvidia nim
Authorkonglr
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill solves the confusion and errors that happen when teams wire multiple AI providers with inconsistent keys, base URLs, and model identifiers, leading to broken integrations or hard-to-debug failures.

Core Features & Use Cases

  • Centralized provider configuration: Documents required environment variables and base URLs for multiple AI vendors (DashScope, Gemini, NVIDIA NIM, and a Claude-code/tengu guidance section).
  • Verified model catalogs: Lists supported/validated model IDs so developers can choose models that match the project’s runtime expectations.
  • Environment loading norms: Establishes how to read secrets via a recommended .Renviron / os.getenv workflow to reduce key leakage and misconfiguration during development.

Quick Start

Use the ai_api_configs skill to look up the correct environment variable name and base URL for the provider you are integrating, then align your selected model ID to the verified list before running your app.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai_api_configs
Download link: https://github.com/konglr/Lottery/archive/main.zip#ai-api-configs

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