OpenAI API Proxy
Provides the same proxy OpenAI API for different LLM models
Listed in categories:
APIGitHubOpen Source
Description
The OpenAI API Proxy provides a unified interface for accessing various large language models (LLMs) such as OpenAI, Anthropic, Google Vertex, and DeepSeek. It allows users to deploy the proxy in any Edge Runtime environment, enabling seamless integration and usage of different AI models without the need for third-party services.
How to use OpenAI API Proxy?
Once deployed, you can call different models through the OpenAI API interface using standard HTTP requests. For example, you can use curl commands or integrate it with OpenAI's official SDK to interact with the models.
Core features of OpenAI API Proxy:
1️⃣
Unified API interface for multiple LLM models
2️⃣
Supports deployment to any Edge Runtime environment
3️⃣
Allows configuration of various AI models directly
4️⃣
Facilitates seamless integration with OpenAI's SDK
5️⃣
Provides up to 100k free requests per day for individuals
Why could be used OpenAI API Proxy?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Integrating multiple AI models into a single application | ✅ | |
| # 2 | Using different LLMs for diverse tasks without changing the API | ✅ | |
| # 3 | Deploying AI models in edge environments for improved performance | ✅ | |
Who developed OpenAI API Proxy?
The maker of this product is a developer who created the API proxy to facilitate the use of various LLM tools, particularly focusing on integrating Vertex AI's Anthropic model. The motivation behind this development was to provide a direct way to use AI models without relying on third-party services.