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liter-llm

Integrate 143 LLM providers into applications with native bindings for 14 languages.

26|2|Updated Jun 8, 2026
Search Tags:#llm#api client#universal#modalities#language bindings
One-click install
npx skills add https://github.com/xberg-io/plugins --skill liter-llm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: liter-llm
Source: https://github.com/xberg-io/plugins/tree/main/plugins/liter-llm/.cursor-plugin/skills/liter-llm
Command: npx skills add https://github.com/xberg-io/plugins --skill liter-llm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, anthropic, google, groq, mistral, cohere, aws, azure, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a unified interface to interact with 143 different LLM providers, simplifying the process of calling LLM APIs across various languages and platforms.

Core Features & Use Cases

  • Universal API Client: Access 143 LLM providers with native bindings for 14 languages.
  • Modality Support: Covers chat, streaming, tool calling, embeddings, image generation, speech, transcription, moderation, web search, OCR, reranking, provider routing, middleware, and configuration.
  • Use Case: Use this Skill to integrate LLM capabilities into your application, such as generating text, extracting insights from data, or moderating content.

Quick Start

Use the liter-llm skill to generate a text summary of a document using the OpenAI GPT-4 model.

Frequently Asked Questions about liter-llm

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

FAQPage Schema
How do I call multiple LLM APIs like OpenAI and Anthropic without writing separate code?▼

A universal LLM API client provides a single interface to call 143 providers. You can access OpenAI, Anthropic, and others using native bindings for 14 languages to streamline integration.

Can I handle image generation and speech transcription with a single LLM integration?▼

Yes, the universal LLM API client supports multiple modalities including image generation, speech, transcription, and text generation. It covers chat, embeddings, OCR, reranking, and moderation within one interface.

What is the best way to integrate LLM capabilities into an application across different platforms?▼

Using a universal LLM API client is the best way to integrate LLM capabilities across platforms. It facilitates text generation, data analysis, and content moderation by providing native language bindings for 14 languages.

Does this universal LLM API client require specific provider API keys to function?▼

Yes, you need LLM provider API keys to use the universal LLM API client. It requires language-specific bindings and valid credentials for the providers you intend to interact with.

How does provider routing work for LLM interactions when using a unified interface?▼

Provider routing in a unified LLM API client directs API requests to the specified provider among 143 supported options. It manages middleware and configuration to streamline LLM interactions across different services.

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