Cadence Example Plugins: Building Custom AI Agents with Cadence AI Framework

Cadence Example Plugins: Building Custom AI Agents with Cadence AI Framework

Explore the Cadence Example Plugins collection showcasing various AI agent plugins for the Cadence AI Framework. Learn how to build custom agents and tools, follow best practices for plugin development, ensure security measures, and get insights into plugin design. Understand plugin registration, discovery, and validation with detailed instructions and troubleshooting guides. Contribute to the project following code standards and guidelines on the PyPI platform.

Cadence Example Plugins is a collection of example AI agent plugins for the Cadence AI Framework. These plugins showcase various capabilities and serve as templates for building custom AI agents and tools. The repository includes specialized agents for mathematical calculations, web searches, general information queries, and utility functions. Each plugin in the directory follows a standard structure and must be properly registered to be discovered by the Cadence framework. Plugin registration involves specifying metadata and creating agents. The Cadence framework automatically discovers plugins from installed packages, directory paths, and custom plugin registries. The SDK provides validation utilities for plugin structure. Best practices for plugin design include single responsibility, clear interfaces, error handling, documentation, and testing. Performance considerations include lazy loading, caching, async support, and resource management. Security measures such as input validation, tool safety, access control, and audit logging are crucial for plugin development. Advanced examples like a Weather Plugin demonstrate how to create specialized agents and tools. The project encourages contributions and adheres to code standards. Troubleshooting tips are provided for common issues like plugin discovery, import errors, and unresponsive agents. Detailed development setup instructions and a contributing guide are available for developers. The PyPI platform supports the project with documentation, issue reporting, and discussion forums.

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