ProxyPal is a desktop app that enables developers to use AI subscriptions like Claude, ChatGPT, Gemini, and GitHub Copilot with any coding tool. It wraps CLIProxyAPI with a user-friendly UI for managing connections and tracking usage, streamlining workflows for operations teams.
git clone https://github.com/heyhuynhgiabuu/proxypal.gitproxypal is an innovative desktop application designed to enhance the usability of your AI subscriptions, including Claude, ChatGPT, Gemini, and GitHub Copilot. By wrapping the CLIProxyAPI in a user-friendly interface, proxypal allows developers to seamlessly connect and manage their AI tools across various coding environments. This integration not only simplifies the process of using multiple AI services but also provides a comprehensive view of connection management and usage tracking. The key benefits of proxypal lie in its ability to streamline AI automation tasks and improve workflow efficiency. While specific time savings are currently unknown, the application is designed to reduce the friction associated with switching between different AI tools, enabling developers to focus more on coding rather than managing their AI resources. With an implementation time of just 30 minutes, proxypal is accessible for intermediate users who want to leverage AI automation skills without extensive setup. This skill is particularly beneficial for developers, product managers, and AI practitioners who rely on multiple AI services to enhance their productivity. By utilizing proxypal, these professionals can create a more cohesive workflow that integrates various AI capabilities, ultimately leading to faster project completion and improved output quality. For instance, a developer working on a complex software project can use proxypal to effortlessly switch between GitHub Copilot for code suggestions and Claude for natural language processing tasks, all within the same interface. With a medium GTM relevance and a growing community, proxypal is positioned to fit seamlessly into AI-first workflows. Its intermediate complexity makes it suitable for users who are already familiar with AI tools and are looking to optimize their usage. By adopting proxypal, teams can enhance their workflow automation capabilities, making it an essential addition for anyone looking to harness the full power of AI in their development processes.
["Install and launch ProxyPal on your desktop. Ensure it’s running before starting your coding session.","Configure the proxy settings in ProxyPal to match your [AI_SERVICE] and [CODING_TOOL]. For example, set the proxy endpoint to `http://localhost:8080` for VS Code and GitHub Copilot.","Allocate tokens or usage limits in ProxyPal based on your project’s needs. Start with conservative limits and adjust as you monitor usage patterns.","Test the setup by running a small task (e.g., code completion or refactoring) and verify that the proxy routes requests correctly without errors.","Monitor the ProxyPal dashboard during your session to track token consumption, adjust allocations if needed, and identify optimization opportunities."]
Integrate Claude and ChatGPT into your preferred coding environment for enhanced coding assistance.
Monitor API usage and performance metrics to optimize your AI subscription costs.
Automatically configure connections to various AI models based on installed CLI agents.
Utilize GitHub Copilot models through an OpenAI-compatible API for a broader range of coding support.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/heyhuynhgiabuu/proxypalCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use ProxyPal to route [AI_SERVICE] API calls through [CODING_TOOL] for [TASK]. Configure the proxy settings in ProxyPal with [SPECIFIC_REQUIREMENTS]. Monitor usage and adjust allocation in ProxyPal’s dashboard to optimize costs. Ensure the setup maintains [PERFORMANCE_OR_SECURITY_CRITERIA].
I configured ProxyPal to route GitHub Copilot API calls through VS Code for an AI-powered code review task. In ProxyPal, I set the proxy endpoint to `http://localhost:8080` and allocated 1000 tokens per hour to ensure uninterrupted access during peak hours. The dashboard showed a total of 4,200 tokens used over 5 hours, with a breakdown of 2,800 tokens for Python file analysis and 1,400 tokens for JavaScript refactoring suggestions. I noticed that the token consumption spiked during a complex refactoring task, so I adjusted the allocation to 1200 tokens per hour to prevent throttling. The setup maintained a response time under 2 seconds, even when processing a 5,000-line codebase. ProxyPal’s usage tracking helped me identify that 60% of the tokens were consumed by a single large file, prompting me to optimize the file structure for future reviews.
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