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@agentix-e/timesfm-cli

v1.0.0

Published

Command-line interface for TimesFM time-series forecasting

Readme

@agentix-e/timesfm-cli

Command-line interface for TimesFM — download models and forecast time series from CSV files.

npm API Docs Benchmark Coverage

Overview

@agentix-e/timesfm-cli provides the timesfm command-line tool for zero-shot time series forecasting. It handles model downloads, CSV I/O, and command-line argument parsing via Commander.

Installation

npm install -g @agentix-e/timesfm-cli
# or use npx
npx @agentix-e/timesfm-cli setup

Quick Start

# Download model (first time only, ~885 MB)
timesfm setup

# With proxy (corporate network)
timesfm setup --proxy-url http://proxy.company.com:8080
timesfm setup --proxy-url http://proxy:8080 --proxy-username user --proxy-password pass

# Password via environment variable (recommended for security)
TIMESFM_PROXY_PASSWORD=pass timesfm setup --proxy-url http://proxy:8080 --proxy-username user

# Or via file (Docker/Kubernetes secrets)
TIMESFM_PROXY_PASSWORD_FILE=/run/secrets/proxy-password timesfm setup --proxy-url http://proxy:8080 --proxy-username user

# Forecast from CSV
timesfm forecast --horizon 24 data.csv

# Custom model path and options
timesfm forecast --model ./custom.onnx --horizon 52 --context 512 data.csv

# JSON output
timesfm forecast --horizon 24 --output-format json data.csv > forecast.json

# Show model info
timesfm info --model ./models/timesfm-2.5.onnx

Model Path Resolution

The forecast command resolves the model in this order:

  1. --model CLI flag
  2. TIMESFM_MODEL_PATH environment variable
  3. Path from timesfm setup -o <path> (same process)
  4. Default cache (~/.cache/timesfm-ts/)
  5. Auto-download

API Documentation

📚 Full API reference: agentix-e.github.io/timesfm-ts/api/modules/timesfm-cli.html

Key exports:

  • CLI entry point (Commander-based) — timesfm setup, timesfm forecast, timesfm info
  • csvForecast — Programmatic CSV forecasting with full config control
  • CSVForecastOptions / CSVForecastLogger — TypeScript types for programmatic CSV forecasting

License

Apache 2.0