PlugnPlai

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PlugnPlai is an open-source Python library designed to streamline the process of connecting external AI plugins with large language models. It offers comprehensive utilities for discovering, loading, and managing plugins from a central directory, including fetching their manifests and OpenAPI specifications. The library facilitates dynamic interaction by enabling parsing of LLM responses for API calls, executing those calls, and even providing a decorator for seamless plugin application within LLM functions. It also supports plugin retrieval via a vector database, making it easier for LLMs to find and utilize relevant tools.

Características Principales

• Activate and deactivate plugins, generating contextual prompts for LLMs.
• Execute API calls to active plugins, supporting various authentication methods.
• Retrieve relevant plugins using a vector database based on user messages.
• Load plugin manifests and OpenAPI specifications for integration.
• Parse LLM responses to identify and extract API calls (plugin name, operation ID, parameters).
• Discover and retrieve AI plugins from a directory, with filtering options.
• 230 GitHub stars

Casos de Uso

• Build custom LLM agents capable of utilizing a diverse set of tools and APIs.
• Automate the process of integrating and managing AI functionalities within LLM applications.
• Enable open-source LLMs to interact with external services and data via plugins.