claude-skill

Simplify LLM Integration with litellm

Unify 100+ LLM APIs with litellm, a Python SDK and proxy server. Ideal for founders needing streamlined AI gateway solutions.
intermediate⏱ 1-2 hours💵 Free (self-hosted)
60,472 stars+433★ this week12,172 forksPythonGuide quality 9/10 · reviewed Jun 29Install verified Sep 14Updated 10/9/2026100% free · open source
What it is

Makes it easy to call 100+ LLM APIs in OpenAI format from Python, with cost tracking, and more

Real use case example

"A solo developer building a customer support chatbot can use litellm to easily integrate with multiple LLM APIs, like OpenAI and Anthropic, to create more accurate and personalized responses. To do this, they simply install the Python SDK, set up their APIs, and write a simple script to call the LLMs for every new chat."

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When to use it
  • •When you need to integrate multiple LLM APIs into your application and want to manage them through a single interface
  • •When you want to track and control costs associated with LLM API calls across different providers
  • •When you need to implement guardrails and load balancing to ensure reliable and efficient LLM API usage
Ready-to-paste prompt
from litellm import Client; client = Client('openai'); response = client.complete(prompt='Write a short story about a character who discovers a hidden world.', max_tokens=512)
Heads up: You need to replace the placeholder API keys and credentials in the `config.example.yaml` file with your actual credentials from the LLM providers, such as OpenAI, Azure, or Google Vertex AI, to use Litellm successfully
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box✓ Install verified 9/14/2026

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/litellm && curl -fsSL https://workflowstacks.com/api/skills/litellm/claude-skill -o ~/.claude/skills/litellm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How Simplify LLM Integration with litellm works
Codeflow
Free to inspect

Simplify LLM Integration with litellm is a very large project (~1M lines across 4635 code files, plus 2870 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~1M lines · 4635 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app — add your API keys. Reading the code is optional.
Runs on
Node.js · Python · Docker
Needs API keys (.env)
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    litellm/main.py
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
litellm/Core code — the actual logic2444 files
ui/Frontend / UI1989 files
backend/Backend / API4 files
cookbook/Examples you can copy119 files
examples/Examples you can copy1 files
litellm-proxy-extras/Folder167 files
enterprise/Folder157 files
litellm-rust/Folder138 files
READMEHas testsDocumentedCI checksDocker readyExamples includedOther licenseUpdated this month
Quick Actions
Details
Creator
BerriAI
Language
Python
Category
claude-skill
Published
7/27/2023

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