sdg-hub

Composable blocks and flows for synthetic data generation

SDG Hub is a Python framework for building synthetic data generation pipelines. Chain LLM, parsing, transform, filtering, and agent blocks into YAML-defined flows -- then generate training data at scale.

Get Started

pip install sdg-hub

from sdg_hub import FlowRegistry, Flow

# Discover and load a built-in flow
FlowRegistry.discover_flows()
flow = Flow.from_yaml(FlowRegistry.get_flow_path("MCP Server Distillation"))

# Configure and run
flow.set_model_config(model="openai/gpt-4o")
result = flow.generate(dataset)

See the Quick Start for a full walkthrough, or browse all built-in flows.

Documentation

Full documentation at ai-innovation.team/sdg_hub

• Installation -- setup, optional dependencies, development install
• Quick Start -- end-to-end walkthrough from loading a flow to generating data
• Core Concepts -- blocks, flows, registries, and dataset handling
• Block Reference -- LLM, parsing, transform, filtering, agent, and custom blocks
• Flow Reference -- YAML schema, built-in flows, custom flows
• API Reference -- auto-generated from source
• Contributing -- development setup and contribution guidelines

Coding Agent Plugin

SDG Hub is available as a plugin for two coding agents, bringing synthetic data generation directly into your coding workflow.

/plugin marketplace add Red-Hat-AI-Innovation-Team/plugins
/plugin install sdg-hub@Red-Hat-AI-Innovation-Team/plugins

/plugin marketplace add Red-Hat-AI-Innovation-Team/sdg_hub
/plugin install sdg-hub@Red-Hat-AI-Innovation-Team/sdg_hub

git clone https://github.com/Red-Hat-AI-Innovation-Team/sdg_hub.git
/plugin marketplace add /path/to/sdg_hub

codex plugin marketplace add Red-Hat-AI-Innovation-Team/plugins

After Installing

Invoke the setup-guide skill to configure your LLM provider and model.

License

Apache License 2.0 -- see LICENSE.

Built by the Red Hat AI Innovation Team