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llm-integration

v1.0.0

Reliable LLM calls in Python backends: one injected client, validated structured output, bounded retries, shared rate limits, versioned prompts, cost limits, and caching

Claude Code1 Skill

By Aisha Javed6 GitHub starsUpdated 2 weeks ago

Directory evidence

Runtimes
Claude Code
Parsed components
1 skill or MCP entry
Source updated
Oct 4, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install llm-integration for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install llm-integration@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/aishajv/claude-everything

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/llm-integration/.

Plugin files

plugins/llm-integration/
├── .claude-plugin/plugin.json
└── skills/llm-integration/SKILL.md

Included Skills1

llm-integrationskills/llm-integration/SKILL.md

Add reliable LLM calls to a Python backend - one injected client, structured output validated with Pydantic, business-rule checks, timeouts and bounded retries, a shared rate limiter, batching, versioned prompts, cost limits, and caching. Use when adding or reviewing code that calls a large language model.

Plugin manifests1

plugins/llm-integration/.claude-plugin/plugin.json
{
  "name": "llm-integration",
  "version": "1.0.0",
  "description": "Reliable LLM calls in Python backends: one injected client, validated structured output, bounded retries, shared rate limits, versioned prompts, cost limits, and caching",
  "author": {
    "name": "Aisha Javed",
    "email": "[email protected]"
  },
  "homepage": "https://github.com/aishajv/claude-everything",
  "repository": "https://github.com/aishajv/claude-everything"
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[llm-integration on Agent Plugins Marketplace](https://pluginsmp.com/plugins/llm-integration)