LLM Client

TypeScript SDK for multiple LLM Providers in OpenAI format.

EmergingOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Unverified

Overview

What is LLM Client?

A TypeScript SDK that enables developers to call various Language Model providers using the OpenAI API format, simplifying integration and switching between different LLM services.

Key differentiator

The only TypeScript SDK that abstracts away differences between multiple LLM providers, allowing seamless switching and integration in OpenAI format.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Supports multiple LLM providers in a unified API format.medium

Simplifies integration and switching between different language models.medium

Built for TypeScript, ensuring type safety.medium

↓ Weaknesses

Limited documentation and exampleshigh

The official repository lacks comprehensive guides and practical use cases, making initial setup challenging.

Dependence on community maintenance for TypeScript supportmedium

As the core API is Python-based, TypeScript SDK updates may lag behind or miss features found in the original implementation.

Performance overhead due to abstraction layerlow

The unified API adds an extra layer of abstraction which can introduce latency and reduce efficiency compared to direct provider APIs.

Fit analysis

Who is it for?

✓ Best for

Teams building applications that need to switch between different LLM providers easily.

Developers who prefer TypeScript and want a type-safe way to interact with AI models.

✕ Not a fit for

Projects requiring real-time streaming capabilities from the API.

Users looking for a fully managed service without the need to handle integration themselves.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with LLM Client

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →