# LLM Gateway

> Use this tool when you need to manage multiple Large Language Model (LLM) providers in a unified way, optimizing costs and performance for tasks like text generation and analysis. It solves problems of redundant API calls, model selection, and cost management, providing inputs like task requirements and outputs like optimized model responses. Ideal for production deployments requiring reliable and efficient LLM interactions.

Canonical page: https://skillsregistry.net/skills/dicklesworthstone-llm-gateway  
JSON: https://api.skillsregistry.net/v1/skills/dicklesworthstone-llm-gateway

## Description

A unified gateway server for managing interactions with multiple LLM providers (OpenAI, Anthropic, DeepSeek, Gemini) with built-in cost optimization, caching, and monitoring. Features include automatic model selection based on task requirements, semantic caching to reduce redundant API calls, detailed usage analytics, and a CLI for direct interaction. The implementation focuses on reliability with comprehensive error handling, request retries, and rate limiting, making it particularly valuable for production deployments that need to balance performance and costs across multiple LLM providers.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dicklesworthstone-llm-gateway)
- **Repository:** <https://github.com/dicklesworthstone/ultimate_mcp_server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dicklesworthstone-llm-gateway"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dicklesworthstone-llm-gateway` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dicklesworthstone-llm-gateway/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt