creating-abstractions

What problem does it solve?

This Skill provides the foundational patterns and code examples for extending OpenBench by creating new data sources, agents, output generators, data stores, and framework adapters.

Core Features & Use Cases

• Custom Data Sources: Define how OpenBench ingests data from unique locations or formats.
• Custom Agents: Integrate your own AI logic or models into OpenBench workflows.
• Custom Output Generators: Specify how processed data should be formatted and exported.
• Data Storage: Implement custom solutions for indexing and retrieving data, including vector stores.
• Framework Integration: Connect external AI frameworks like LangChain or AutoGen.
• Use Case: You need to ingest data from a proprietary internal API. You would use this Skill to create a new DataSource that connects to your API, fetches the data, and formats it for OpenBench.

Quick Start

Create a new DataSource by extending the DataSource abstract base class and implementing the required properties and methods.