ERNIE Bot Agent is a framework for building large language model (LLM) agents, powered by Baidu's ERNIE Bot and Baidu AI Studio. It targets developers seeking to create AI-native applications with LLM orchestration, tool integration, and knowledge base capabilities, offering a low-code interface and pre-built components for rapid development.

How It Works

The framework leverages ERNIE Bot's Function Calling capabilities for multi-tool orchestration and automatic scheduling, supporting mixed orchestration of tools, plugins, and knowledge bases. It provides a rich component library, including over 30 pre-built tools from Baidu AI platforms and PaddlePaddle models, as well as platform-level knowledge bases. Developers can also integrate custom local or remote tools and use popular libraries like Langchain or LlamaIndex for knowledge base management.

Quick Start & Requirements

• Installation: pip install --upgrade erniebot-agent or pip install --upgrade erniebot-agent[all] for all modules.
• Prerequisites: Python >= 3.8. Requires an AI Studio account and an Access Token for API calls.
• Quick Start Example: Demonstrates agent creation, tool integration (e.g., text-to-speech), and conversational interaction.
• Documentation: 开发文档

Highlighted Details

• Supports zero-code interface for agent building via AI Studio.
• Enables rapid agent development with as few as 10 lines of code.
• Offers platform-level memory mechanisms (in development).
• Provides convenient access to ERNIE Bot's core functionalities: text generation, dialogue, semantic vectors, and image generation.

Maintenance & Community

• Actively developed by PaddlePaddle.
• Community contributions are welcomed.
• Links to application experiences are available on AI Studio.

Licensing & Compatibility

• Licensed under Apache-2.0.
• Permits commercial use and integration with closed-source projects.

Limitations & Caveats

The framework is under active development, with features like ERNIE-Yiyan plugins and platform-level memory mechanisms still in progress. While it supports Linux, Windows, and macOS, specific tool compatibility or performance may vary.