xrtm 0.8.2

The xRtm Framework (Generative Forecasting).

XRTM: AI for event forecasting

XRTM is the product-first shell for running event-forecasting workflows, inspecting the scored artifacts, and choosing CLI or WebUI for the same released local product tasks.

Start here

If you arrived from xrtm.org, PyPI, or this repository, use the authoritative first-success guide: docs/getting-started.md.

That guide walks the released xrtm==0.8.2 journey in one place:

1. install XRTM
2. choose a CLI-led or WebUI-led first-success path
3. inspect the latest run, report, and exports
4. run a named workflow from the Start or Workflow detail surface
5. use Operations for profiles, monitors, and cleanup
6. use Workbench or the shared CLI authoring layer to create from scratch, template, or clone, then author safe workflow fields plus node/edge/entry changes, validate, run, and compare
7. use the released Playground lane for one custom question first, read-only step inspection, and explicit save-back to workflow/profile on the provider-free release baseline
8. choose your next path

This README intentionally stays short so the first-run commands live in one place.

After your first successful run

• Researcher: use the researcher workflow on xrtm.org
• Operator: continue with the Operator Runbook
• Developer: move to the Python API Reference and integration examples

Documentation

• Getting Started Guide
• Operator Runbook
• Python API Reference
• Integration Examples
• Interface Parity Matrix for the current CLI/WebUI capability map and next parity targets
• Next-release Feature Track for source-only work that is not part of the published xrtm==0.8.2 package
• Stack Versioning Policy for xrtm as the product-anchor release and cross-repo version ownership
• Full documentation: xrtm.org

License

Apache 2.0 — see LICENSE for details.