The core architecture of the library is built around the Python asyncio framework for asynchronous I/O and compute-intensive task processing, with Processor and PartProcessor units to support combining and parallelizing complex data streams. Its modular design allows developers to flexibly build processing pipelines, and the built-in GenaiModel and LiveProcessor enable deep integration with the Gemini API, supporting a full range of scenarios, from round-robin interactions to real-time audio/video stream processing.
This answer comes from the articleGenAI Processors: lightweight Python library supports efficient parallel processing of multimodal contentThe
May not be reproduced without permission:AI productivity tools " GenAI Processors' core features include asynchronous parallel processing and modular processor design
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