running-the-proxy

Manage virtual keys, rate limits, budgets, and model routing via the liter-llm api gateway.

26|2|Updated Jun 8, 2026
One-click install
npx skills add https://github.com/xberg-io/plugins --skill running-the-proxy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: running-the-proxy
Source: https://github.com/xberg-io/plugins/tree/main/plugins/liter-llm/.cursor-plugin/skills/running-the-proxy
Command: npx skills add https://github.com/xberg-io/plugins --skill running-the-proxy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Skill streamlines the operation of the liter-llm api gateway, handling virtual keys, rate limits, budgets, cost tracking, and model routing.

Core Features & Use Cases

  • Virtual Keys: Assign and manage per-key rate limits, budgets, and cost tracking.
  • Model Routing: Route to 143 provider models with virtual keys.
  • Configuration: Configure using a TOML file for server, general settings, models, and keys.
  • Quick Start: Start the proxy with liter-llm api --config liter-llm-proxy.toml.

Quick Start

Start the proxy with liter-llm api --config liter-llm-proxy.toml.

Frequently Asked Questions about running-the-proxy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage rate limiting and budgets for OpenAI-compatible API keys?

You can manage rate limiting and budgets for OpenAI-compatible API keys by configuring virtual keys through a TOML configuration file. This allows you to assign per-key rate limits, track costs, and control model routing directly.

What is the best way to route requests to multiple LLM providers using a gateway?

Routing requests to multiple LLM providers is handled by configuring model routing within your gateway settings. This proxy supports routing to 143 provider models, managed easily using virtual keys and a TOML configuration file.

How do I start the OpenAI-compatible proxy for cost tracking and gateway management?

You start the OpenAI-compatible proxy for cost tracking and gateway management by running the command `liter-llm api --config liter-llm-proxy.toml`. This initializes server, model, and key settings defined in your TOML file.

Can I configure server settings and virtual keys using a TOML file for my LLM gateway?

Yes, you can configure server settings, general configurations, models, and virtual keys using a TOML file for your LLM gateway. The proxy operates entirely through this TOML configuration file for settings and key management.

Does the gateway management proxy provide a RESTful API for control and data exchange?

Yes, the gateway management proxy provides a RESTful API for control and data exchange. This allows you to programmatically interact with virtual keys, budgets, and cost tracking data alongside the TOML configuration file.