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litellmts-core

v2.1.2

Published

TypeScript implementation of LiteLLM — unified interface for 45+ LLM providers

Readme


Installation

npm install litellmts-core

From GitHub (alternative)

{
  "dependencies": {
    "litellmts-core": "github:madkoding/litellmTS"
  }
}

Quick Start

import { completion } from 'litellmts-core';

const response = await completion({
  model: 'openai/gpt-4o-mini',
  messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(response.choices[0].message.content);

Swap providers by changing just the model string:

// Same code, different provider:
await completion({ model: 'anthropic/claude-sonnet-4-20250514', ... });
await completion({ model: 'gemini/gemini-2.5-pro', ... });
await completion({ model: 'groq/llama-3.3-70b', ... });
await completion({ model: 'deepseek/deepseek-chat', ... });

Features

  • Unified API — same completion() / embedding() for every provider
  • Streaming — all providers support stream: true
  • Model listinglistModels('openai') fetches available models from each provider's API
  • Provider discoverylistProviders() returns all configured providers
  • TypeScript first — full type safety with auto-completion
  • 45+ providers — from OpenAI to niche OpenAI-compatible APIs
  • No SDK sprawl — one dependency replaces 10+ vendor SDKs
  • CLI auth — built-in OAuth device flow for GitHub Copilot & API key setup for Anthropic
  • Encrypted auth store~/.litellm/auth.json protected with AES-256-GCM (key derived from machine + user)

Usage

Non-streaming

import { completion } from 'litellmts-core';

const response = await completion({
  model: 'openai/gpt-4o-mini',
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'What is TypeScript?' },
  ],
  temperature: 0.7,
  max_tokens: 500,
});

console.log(response.choices[0].message.content);
// { role: 'assistant', content: 'TypeScript is...' }
console.log(response.usage);
// { prompt_tokens: 25, completion_tokens: 120, total_tokens: 145 }

Streaming

const stream = await completion({
  model: 'anthropic/claude-sonnet-4-20250514',
  messages: [{ role: 'user', content: 'Write a poem' }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}

Embeddings

import { embedding } from 'litellmts-core';

const result = await embedding({
  model: 'openai/text-embedding-3-small',
  input: 'Hello world',
});

console.log(result.data[0].embedding); // number[]

Model Discovery

import { listModels, listProviders, clearModelCache } from 'litellmts-core';

// List all available models for a provider (fetched live from their API)
const models = await listModels('openai');
// => [{ id: 'gpt-4o', provider: 'openai', created: 1700000000 }, ...]

// List all configured providers
const providers = listProviders();
// => [{ name: 'openai', hasModelList: true }, { name: 'groq', hasModelList: true }, ...]

// Get models for a specific provider with apiKey override
const groqModels = await listModels('groq', { apiKey: 'gsk_...' });

// Clear cached model lists (re-fetches on next call)
clearModelCache();

API Keys

Keys are read from environment variables by default:

export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
export GROQ_API_KEY=gsk_...

Or pass them inline:

await completion({
  model: 'groq/llama-3.3-70b',
  messages: [],
  apiKey: 'gsk_...',
});

CLI Auth

# GitHub Copilot (OAuth device flow)
npx litellm login copilot

# Anthropic (API key prompt)
npx litellm login anthropic

Supported Providers

Dedicated Handlers

| Provider | Model prefix | Completion | Streaming | Embedding | API Key Env | |---|---|---|---|---|---|---| | OpenAI | openai/ | ✅ | ✅ | ✅ | OPENAI_API_KEY | | Anthropic | anthropic/ | ✅ | ✅ | ❌ | ANTHROPIC_API_KEY | | Google Gemini | gemini/ | ✅ | ✅ | ✅ | GEMINI_API_KEY | | GitHub Copilot | copilot/ | ✅ | ✅ | ❌ | (OAuth) | | Mistral | mistral/ | ✅ | ✅ | ✅ | MISTRAL_API_KEY | | Cohere | cohere/ | ✅ | ✅ | ❌ | COHERE_API_KEY | | DeepInfra | deepinfra/ | ✅ | ✅ | ❌ | DEEPINFRA_API_KEY | | Replicate | replicate/ | ✅ | ✅ | ❌ | REPLICATE_API_KEY | | AI21 Labs | ai21/ | ✅ | ✅ | ❌ | AI21_API_KEY | | Ollama (local) | ollama/ | ✅ | ✅ | ✅ | — |

OpenAI-Compatible (38 providers)

| Provider | Prefix | API Key Env | |---|---|---| | Groq | groq/ | GROQ_API_KEY | | DeepSeek | deepseek/ | DEEPSEEK_API_KEY | | Perplexity | perplexity/ | PERPLEXITY_API_KEY | | X AI (Grok) | xai/ | XAI_API_KEY | | OpenRouter | openrouter/ | OPENROUTER_API_KEY | | Together AI | together/ | TOGETHER_API_KEY | | Fireworks AI | fireworks/ | FIREWORKS_API_KEY | | Cerebras | cerebras/ | CEREBRAS_API_KEY | | SambaNova | sambanova/ | SAMBANOVA_API_KEY | | Nebius AI | nebius/ | NEBIUS_API_KEY | | Hyperbolic | hyperbolic/ | HYPERBOLIC_API_KEY | | Novita AI | novita/ | NOVITA_API_KEY | | GitHub Models | github/ | GITHUB_TOKEN | | Anyscale | anyscale/ | ANYSCALE_API_KEY | | NVIDIA NIM | nvidia_nim/ | NVIDIA_API_KEY | | Codestral | codestral/ | CODESTRAL_API_KEY | | Moonshot | moonshot/ | MOONSHOT_API_KEY | | DashScope (Alibaba) | dashscope/ | DASHSCOPE_API_KEY | | Meta Llama | meta_llama/ | LLAMA_API_KEY | | Featherless AI | featherless/ | FEATHERLESS_API_KEY | | Nscale | nscale/ | NSCALE_API_KEY | | Inception Labs | inception/ | INCEPTION_API_KEY | | Morph LLM | morph/ | MORPH_API_KEY | | Lambda AI | lambda/ | LAMBDA_API_KEY | | AIML API | aiml/ | AIML_API_KEY | | Weights & Biases | wandb/ | WANDB_API_KEY | | Volcengine | volcengine/ | VOLCENGINE_API_KEY | | Galadriel | galadriel/ | GALADRIEL_API_KEY | | Empower | empower/ | EMPOWER_API_KEY | | Friendli AI | friendliai/ | FRIENDLI_API_KEY | | Helicone | helicone/ | HELICONE_API_KEY | | Vercel AI Gateway | vercel_ai/ | VERCEL_AI_GATEWAY_API_KEY | | Clarifai | clarifai/ | CLARIFAI_API_KEY | | Baseten | baseten/ | BASETEN_API_KEY | | PublicAI | publicai/ | PUBLICAI_API_KEY | | Venice AI | venice/ | VENICE_API_KEY |

Architecture

┌──────────────┐     ┌──────────────┐     ┌─────────────────┐
│  completion() │────▶│  getHandler() │────▶│  OpenAIHandler   │
│  embedding()  │     │  (prefix      │     │  AnthropicHandler│
│  listModels() │     │   matching)   │     │  GeminiHandler   │
│  listProviders│     │              │     │  OpenAILikeHandler│
└──────────────┘     └──────────────┘     └─────────────────┘
                           │
                    ┌──────┴──────┐       ┌──────────────────┐
                    │  Registry   │       │  Model Registry  │
                    │  openai/ →  │       │  (in-memory      │
                    │  anthropic/ │       │   cache + TTL)   │
                    │  groq/ → .. │       │                  │
                    └─────────────┘       │  listModels()    │
                                          │  listProviders() │
                                          │  clearModelCache()│
                                          └──────────────────┘

Development

# Clone
git clone https://github.com/madkoding/litellmTS.git
cd litellmTS

# Install
npm install

# Run unit tests
npm t

# Run E2E tests (requires API keys in .env)
cp .example.env .env
npm run test:e2e

# Build
npm run build

License

GNU General Public License v3.0 — see LICENSE.

Why not just use the Python version?

litellmTS is a native TypeScript implementation designed for Node.js/Deno/Bun environments. It has zero Python dependencies and integrates naturally with the TypeScript ecosystem (type safety, IDE autocompletion, etc.). Think of it as litellm, but for the JS/TS world.