Langroid
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About
Langroid is an intuitive, lightweight, and extensible Python framework designed to simplify the development of applications powered by Large Language Models (LLMs). It enables developers to set up agents equipped with capabilities such as LLMs, vector databases, and tools or functions. These agents collaborate by exchanging messages to solve complex problems, following a multi-agent programming paradigm. Langroid supports both OpenAI's function-calling features and its own native tools mechanism, providing flexibility in integrating various functionalities. Its modular design and intuitive API facilitate easy setup, customization, and scaling, making it a valuable resource for developers aiming to harness the potential of LLMs in their applications.
Features
- Multi-Agent Collaboration: Configure multiple agents to work together, enhancing problem-solving capabilities.
- Tool and Function Integration: Supports both OpenAI's function-calling and native tools for extended functionalities.
- Vector Store Support: Integrates with vector databases like Qdrant and Chroma for Retrieval-Augmented Generation (RAG).
- Observability and Logging: Provides detailed logs of agent interactions, ensuring transparency and traceability.
- Extensibility: Designed to be easily extendable, allowing developers to add custom functionalities as needed.