The xRtm Framework (Generative Forecasting).
Project description
XRTM v0.9.2 — AI for Event Forecasting
XRTM runs event-forecasting workflows from the command line. Uses any OpenAI-compatible endpoint.
Install
pip install xrtm
Python >=3.11,<3.14.
Quick Start
export OPENAI_API_KEY="sk-..."
xrtm start
With a specific model:
xrtm start --model your-model --base-url $OPENAI_BASE_URL --limit 10
Commands
| Command | What it does |
|---|---|
xrtm start |
Run forecasts (requires OPENAI_API_KEY) |
xrtm doctor |
Check Python, packages, imports |
xrtm runs show --latest |
Inspect the most recent run |
Run Artifacts
Each run produces these files in runs/<run-id>/:
run.json, eval.json, train.json, forecasts.jsonl, report.html, provider.json, questions.jsonl
XRTM Ecosystem
| Package | Role |
|---|---|
xrtm-data |
Schemas & question sources |
xrtm-eval |
Scoring (Brier, ECE, LogScore) |
xrtm-forecast |
Runtime engine (agents, providers, topologies) |
xrtm-train |
Backtesting & optimization |
xrtm |
Product CLI (this package) |
License
Apache 2.0
Project details
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