Genai-Processors

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GenAI Processors is an AI Agents & Automation tool that enables efficient, parallel content processing. It is a lightweight Python library for building modular, asynchronous, and composable AI pipelines.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is genai-processors?

GenAI Processors is a lightweight Python library designed for building modular, asynchronous, and composable AI pipelines, specifically for generative AI applications. It addresses the fragmentation of LLM APIs by providing a unified content model, simple composable Python classes called Processors, and built-in asynchronous streaming capabilities. The library allows developers to create custom processors, chain them together, or parallelize them to build sophisticated data flows and agentic behaviors. Key features include rich content handling with `ProcessorPart` for various content types, integration with GenAI API for model calls, and utilities for stream management. It's built on Python's `asyncio` framework to orchestrate concurrent tasks, making it ideal for real-time applications.

Best used for

Ideal for developers and data scientists who need to build modular and asynchronous AI pipelines, process content in parallel, and integrate various LLM APIs. Especially valuable for creating real-time live agents, research agents, and complex generative AI applications requiring efficient data stream management.

Common actions

build AI pipelines

process content in parallel

integrate LLM APIs

create custom agents

manage data streams

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Capabilities

Key features

Unified content model
Composable Python processors
Asynchronous streaming capabilities
Rich content handling
GenAI API integration
Stream management utilities

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the core concept behind GenAI Processors?

The library centers around the 'Processor' concept, which is a simple, composable Python class encapsulating a unit of work. It handles asynchronous, multimodal data streaming while exposing a straightforward API for developers to transform content streams efficiently.

What kind of content can GenAI Processors handle?

GenAI Processors supports rich content handling through its `ProcessorPart` wrapper. This allows it to work with various content types including text, images, audio, and custom JSON, enriched with metadata like MIME type and role.

Can I create my own custom processors with this library?

Yes, GenAI Processors is designed to be extensible. You can create custom processors by inheriting from its base classes or by using simple function decorators, allowing you to tailor processing logic to your specific needs.

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