SlangAgent Example Agent

Welcome to SlangAgent. This agent showcases how to build other agents using the Skyfire proxy.

Overview

SlangAgent demonstrates the capabilities of the Skyfire proxy, providing developers with a practical example to follow. Now, developers can build agents that can turn a profit with autonomous payments.

Getting Started

1. Installation

   • Clone the repository:

     git clone https://github.com/skyfire-xyz/slangAgent.git
     cd slangAgent

2. Skyfire API Key Setup

   • To create a Skyfire account, send an email to [email protected]. You will receive a link to sign up shortly.
   • After signing up, create an API key from your dashboard.
   • Set the API key as an environment variable in .env file:

   SKYFIRE_API_KEY=your_api_key_here

3. Documentation

   • Access our comprehensive documentation for detailed guides and API references.

4. Sample Code

   • Explore the sample code within this repository to see SlangAgent in action.
   • SlangAgent finds the best response to a message with slang by scoring different OpenRouter LLM responses in a rubric.
   • Since the Skyfire proxy is compatible with OpenAI, you can use the OpenAI library and point the base url to Skyfire. This is demonstrated in the file: - OpenRouter Proxy Configuration

• Running SlangAgent:

  python3 -m venv venv
  source venv/bin/activate
  pip3 install -r requirements.txt
  python3 app.py