griptape-ai/griptape-core
🏗️ Frameworkgriptape-ai
A modular Python framework for building LLM-powered middleware and portable AI applications.
Griptape Core addresses the challenge of LLM fragmentation by providing a standardized middleware layer for AI applications. It allows developers to define tools and workflows that are decoupled from specific LLM providers or deployment targets. The framework emphasizes modularity, enabling seamless integration with popular ecosystems like OpenAI, Hugging Face, and LangChain. Key features include a robust structure for managing LLM prompts, chaining complex tasks, and handling tool execution. By abstracting the complexities of different LLM APIs, Griptape Core ensures that developers can maintain a single codebase while targeting multiple execution environments. This makes it an ideal choice for teams looking to build scalable AI infrastructure that avoids vendor lock-in and supports rapid iteration across different AI platforms.
💡Highlights
- ├─Vendor-agnostic LLM abstraction
- ├─Modular middleware architecture
- └─Portable across multiple ecosystems
🎯For
- ├─AI Engineers
- ├─Backend Developers
- └─Software Architects