Integrated Applications

Applications that work seamlessly with TokenCheap's LLM proxy service

Why Use Integrated Applications?

Access to your favorite AI UIs and tools without any extra costs
Simple configuration to redirect your requests to TokenCheap's API
Standard OpenAI API compatibility means most tools just work
Start saving on token costs immediately with minimal setup

Cline

The Collaborative AI Coder that elevates engineering teams with a fully collaborative AI partner that's open source, fully extensible, and designed to amplify developer impact.

Coding Collaborative 40.2k Stars

Roo Code

Your AI-Powered Dev Team, right in your editor. Supercharge your development with AI that understands your codebase, streamlines development, and helps you write, refactor, and debug with ease.

Coding VS Code Open-Source

NextChat

A modern ChatGPT UI alternative built with Next.js, offering a sleek interface and advanced features.

Web UI Next.js

OpenWebUI

A ChatGPT-style web interface for multiple LLMs, with advanced features like model switching and team collaboration.

Web UI Full-stack

LangChain

A framework for developing applications powered by language models that enables complex AI workflows.

Framework Python

AutoGPT

An experimental open-source application that autonomously achieves goals you set using multiple AI agents.

Autonomous Python

Have an application you'd like to add to this page? Contact us.

About Cline

Cline is a collaborative AI coding assistant that integrates directly with your IDE to amplify developer productivity.

Installation

pip install cline

Configuration with TokenCheap

Configure Cline to use TokenCheap's API by setting these environment variables:

export OPENAI_API_KEY=your_tokencheap_api_key
export OPENAI_API_BASE_URL=https://api.tokencheap.com/v1

Key Features

Collaborative planning with AI for complex tasks
Seamless integration with your development workflow
Code generation, editing, and debugging assistance
Open-source with 40.2k GitHub stars and 1.2M installations

For more information, visit the Cline documentation.

About Roo Code

Roo Code is an AI-powered development assistant that puts a team of agentic AI assistants directly in your editor, with the power to plan, write, and fix code across multiple files.

Installation

Install Roo Code from the VS Code marketplace or using the command:

code --install-extension roo-code.roo-code

Configuration with TokenCheap

Configure Roo Code to use TokenCheap by adding the following to your VS Code settings:

{
  "roo-code.api.baseUrl": "https://api.tokencheap.com/v1",
  "roo-code.api.key": "your_tokencheap_api_key"
}

Key Features

Multiple specialized modes for coding, debugging, and architecture
Deep project-wide context understanding
Guarded command execution
Automated browser actions for testing
Open-source and model-agnostic
Fully customizable to your workflow

For more information, visit the Roo Code documentation.

Installation

git clone https://github.com/chatgptui/nextchat.git
cd nextchat
npm install

Configuration

Create a .env.local file with your TokenCheap API key:

OPENAI_API_KEY=your_tokencheap_api_key
OPENAI_API_HOST=https://api.tokencheap.com

Usage

Start the development server:

npm run dev

For more information, visit the NextChat documentation.

Installation

git clone https://github.com/open-webui/open-webui.git
cd open-webui
docker-compose up -d

Configuration

Navigate to Settings > Language Models > Add New Model

Use these settings:

Name: TokenCheap
Base URL: https://api.tokencheap.com
API Key: your_tokencheap_api_key

Usage

Access the UI at http://localhost:3000

For more information, visit the OpenWebUI documentation.

Installation

pip install langchain openai

Configuration

Configure your environment variables:

import os
os.environ["OPENAI_API_KEY"] = "your_tokencheap_api_key"
os.environ["OPENAI_API_BASE"] = "https://api.tokencheap.com/v1"

Example Usage

from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate

llm = OpenAI(temperature=0.7)
prompt = PromptTemplate.from_template("Write a {word_count} word essay about {topic}.")
chain = prompt | llm

response = chain.invoke({"word_count": "500", "topic": "artificial intelligence"})
print(response)

For more information, visit the LangChain documentation.

Installation

git clone https://github.com/Significant-Gravitas/AutoGPT.git
cd AutoGPT
pip install -e .

Configuration

Create a .env file with your TokenCheap API key:

OPENAI_API_KEY=your_tokencheap_api_key
OPENAI_API_BASE=https://api.tokencheap.com/v1

Usage

Run AutoGPT:

python -m autogpt

For more information, visit the AutoGPT documentation.