KitchenAI
Open Source LLMOps for AI devs
Listed in categories:
Open SourceArtificial IntelligenceDeveloper Tools
Description
KitchenAI bridges the gap between AI developers, application developers, and infrastructure developers, making it easy to author multiple AI techniques, quickly test and iterate, and easily build and share applications. It allows AI developers to focus on their techniques while KitchenAI handles the scalability, converting Jupyter notebooks into production-ready applications.
How to use KitchenAI?
To use KitchenAI, set up your environment by exporting your OpenAI API key, creating a virtual environment, and installing KitchenAI. Start a project with 'kitchenai cook list' and run the server using 'kitchenai init'. You can also test the API and build Docker containers for deployment.
Core features of KitchenAI:
1️⃣
Instantly convert Jupyter Notebooks into production-ready APIs
2️⃣
Seamless integration of AI with a set of APIs
3️⃣
Extensible framework for custom recipes and plugins
4️⃣
Built-in support for observability platforms like Sentry and OpenTelemetry
5️⃣
Quick cookbook creation for rapid development
Why could be used KitchenAI?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | AI developers can quickly test and iterate on their techniques | ✅ | |
| # 2 | Application developers can seamlessly integrate AI into their applications | ✅ | |
| # 3 | Infrastructure developers can customize backends and build plugins | ✅ | |
Who developed KitchenAI?
KitchenAI is developed by a team focused on providing tools that streamline the AI development process, allowing developers to focus on delivering results rather than getting bogged down in boilerplate code.