Malacca is an open-source AI gateway designed to become the central hub in the world of AI.
It is fully CloudFlare Native: allowing for global scale deployment without any maintenance overhead and free for 1M requests each day.
It is written in TypeScript: ensuring adaptability to the rapidly evolving AI ecosystem and catering to the diverse needs of application developers.
Malacca is still an early-stage project, containing many experiments by the author. Currently, it only supports AzureOpenAI. While Malacca provides numerous features, its primary purpose is to offer a framework and examples to help users better implement their own custom functionalities. In fact, we encourage you to read the code and adapt it to your specific needs. We welcome contributions and ideas from the community to help expand and improve this project.
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🌍 Global Scale, Zero Maintenance
- Built on Cloudflare Workers, Malacca offers seamless global deployment without the need to manage servers.
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🧩 High Flexibility and Extensibility
- Written in TypeScript, which provides excellent readability and allows easy customization and expansion of features.
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🛠️ Comprehensive Feature Set
- 🔑 Virtual Key: Manage access permissions using virtual keys, providing more granular control over API access.
- ⚡ Caching: Reduce latency and costs by caching repeat requests.
- 🛡️ Guard: Deny the request if the request or response has inappropriate content.
- 📊 Analytics: Track the status, error, latency and usage of tokens, allowing you to understand and manage API costs.
- 📋 Logging: Record requests and responses to further fine-tune or reinforcement learning.
- 🚦 Rate Limiting: Protect upstream API resources by controlling request rates.
- 🔄 Fallback: Fallback to CF Workers AI if the upstream API fails.
- A Cloudflare account.
- Wrangler CLI installed (used to manage Cloudflare Workers).
- Enable Workers Analytics Engine. (Head to the Cloudflare Dashboard).
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Clone the Repository
git clone https://github.com/oilbeater/malacca.git cd malacca
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Install Dependencies
npm install
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Configure the Project
Create KV Namespace for LLM Cache and Virtual Key
npx wrangler kv namespace create MALACCA_CACHE npx wrangler kv namespace create MALACCA_USER
Then edit the
wrangler.toml
configuration with the KV ids generated. -
Deploy to Cloudflare Workers
npm run deploy
Then you can visit Malacca with the Worker domain or custom domain.
Malacca offers a flexible architecture, allowing users to:
- Add custom middleware to suit specific needs.
- Extend or modify existing features.
- Integrate additional upstream AI API services.
You can just clone and modify the code then wrangler deploy
to deploy your code globally.
If you have any questions or suggestions, feel free to reach out via email at [email protected].