a2a-artifact-graph

ryukez
1
A lightweight framework for declarative, data-driven task pipelines using the A2A protocol.

Overview

What is a2a-artifact-graph

a2a-artifact-graph is a lightweight framework designed for building declarative, data-driven task pipelines using the A2A protocol. It aims to facilitate clear, reproducible, and resumable step-wise executions, making it ideal for LLM-powered agents.

How to Use

To use a2a-artifact-graph, install it via npm with 'npm install @ryukez/a2a-artifact-graph'. Define artifacts and builders, and then execute the ArtifactGraph to run your task pipeline.

Key Features

Key features include typed boundaries for explicit input/output schemas, ergonomic artifact helpers for type-safe artifact definitions, automatic planning based on artifact dependencies, fault tolerance for resuming or retrying failed steps, and conditional execution for controlling builder execution.

Where to Use

a2a-artifact-graph can be used in various fields where task automation and data processing are required, particularly in applications involving LLM (Large Language Model) powered agents.

Use Cases

Use cases for a2a-artifact-graph include building complex data processing pipelines, automating workflows in data science, and creating LLM-driven applications that require structured task execution.

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