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Lagent is a lightweight open-source framework designed to help developers build autonomous agents powered by large language models. The framework provides tools and abstractions that allow language models to interact with external tools, execute tasks, and perform multi-step reasoning processes. Instead of using LLMs only for text generation, Lagent enables developers to transform models into agents capable of performing actions such as retrieving data, executing code, or interacting with APIs. The system includes modular components that allow developers to connect different models and tools within the same agent architecture. Its design emphasizes simplicity and flexibility so that developers can experiment with different agent workflows without needing a complex infrastructure setup. Lagent can also be deployed as a web service to support distributed or multi-agent applications.
Features
- Lightweight framework for building LLM-based autonomous agents
- Tools for integrating language models with external APIs and services
- Modular architecture that allows flexible agent workflow design
- Support for multi-step reasoning and tool usage within agents
- Ability to deploy agents as HTTP services for distributed systems
- Compatibility with multiple language model backends
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