skills.rest
fgarofalo56
fgarofalo56COMMUNITY
Explore all skills by this author →
WebsiteGitHub

litellm

Provide a unified API for over 100 LLM providers with fallback mechanisms.

6|2|Updated Jan 22, 2026
Search Tags:#api#llm#openai#anthropic#proxy#ollama#gateway
One-click install
npx skills add https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric --skill litellm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: litellm
Source: https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric/tree/main/.github/skills/litellm
Command: npx skills add https://github.com/fgarofalo56/Suppercharge_Microsoft_Fabric --skill litellm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies interacting with over 100 different Large Language Model (LLM) providers by offering a single, unified API interface, reducing development complexity and enabling seamless switching between models.

Core Features & Use Cases

  • Universal LLM Access: Connect to providers like OpenAI, Anthropic, Azure OpenAI, and Ollama with one consistent API.
  • Cost Optimization & Fallbacks: Easily implement strategies for cost savings and ensure service continuity by defining fallback models.
  • LLM Gateway: Deploy a robust proxy server for centralized LLM management, routing, and monitoring.
  • Use Case: A developer can integrate GPT-4o for primary tasks and automatically fall back to Claude 3.5 Sonnet if GPT-4o is unavailable or too expensive, all without changing their core application code.

Quick Start

Use the litellm completion function to send a message to gpt-4o.

Frequently Asked Questions about litellm

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

FAQPage Schema
How do I use a unified API to connect to multiple LLM providers like OpenAI and Anthropic?▼

A unified LLM API provides a single interface to connect to over 100 providers like OpenAI and Anthropic. By standardizing requests, you can integrate multiple models without changing core application code.

What is the best way to implement LLM fallback mechanisms for service continuity?▼

Implementing LLM fallback mechanisms involves defining secondary models like Claude 3.5 Sonnet to automatically handle requests if a primary model like GPT-4o fails or becomes too expensive.

How do I deploy a proxy server for centralized LLM gateway management?▼

You can deploy a proxy server to establish a centralized LLM gateway for routing, monitoring, and managing API access across multiple providers, ensuring controlled and observable LLM traffic.

Does a single LLM API interface support asynchronous calls and streaming completions?▼

Yes, a unified LLM API interface supports text completion, streaming, asynchronous calls, embeddings, and function calling across various providers, enabling flexible multi-provider AI integration.

Can I use Ollama with a unified LLM gateway for local model inference?▼

Yes, you can use Ollama with a unified LLM gateway to integrate local model inference alongside cloud providers, allowing seamless switching between local and remote models through one API.

Related Skills

Explore More Software Engineering Skills→
citedycitedy
31

self-setup

Configure LLM providers, models, and API keys via a local management API.

Official
Intermediate
HouseGarofaloHouseGarofalo
3

openai-api

Integrates OpenAI language models including GPT-4, GPT-4o, and Assistants API into applications.

Official
Advanced
HouseGarofaloHouseGarofalo
3

litellm

Call over 100 LLM providers through a unified interface.

Official
Intermediate
merge-apimerge-api
1

Migrate Direct Provider SDKs to Merge Gateway

Migrate OpenAI, Anthropic, and Google SDK usage to Merge Gateway.

Official
Advanced